Handle oder handele

handle oder handele

handeln. schwaches Verb - 1a. (bestimmte Waren) gewerblich verkaufen, (mit 1b. mit jemandem im Geschäftsverkehr stehen, 2. etwas verkaufen, vertreiben . Viele übersetzte Beispielsätze mit "ich handele" – Englisch-Deutsch Wörterbuch und Ich muß realistisch sein und beobachten, was passiert wenn ich handle. Indikativ Präsens. ich. handle; handele. du. handelst. er/sie/es. handelt. wir. handeln. ihr. handelt. sie/Sie. handeln. Indikativ Präteritum. ich. handelte. du.

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But your statement, "The modern scientific church can cure things like that. Come around and see," will work. These are the major proven methods of dissemination.

There are other methods such as street contact, industrial contact, and the old time psychoanalytic contact, but they are not well proven in use.

Auditors seem too shy to accost people on the street; although industrialists show some interest, they seldom show cash; and although the psychoanalytic contact, where one simply sits in an office with a sign outside the door and waits for the flies to walk into the spider web, is very definitely in use in Scientology as it was in psychoanalysis, it still is not successful.

It builds a limited and constricted practice without any third dynamic appeal. It does very little good for Scientology.

Method number 3 has the advantage of requiring little capital and being highly ambulatory. Every day in the daily papers one discovers people who have been victimized one way or the other by life.

It does not much matter whether that victimizing is in the manner of mental or physical injury. It does matter that the newspapershave a full parade of oddities in terms of accident, illness and bereavement occurring at a constant parade before the eyes.

One takes every daily paper he can get his hands on and cuts from it every story whereby he might have a preclear. He either has the address in the story itself or he gets the address as a minister from the newspaper.

As speedily as possible he makes a personal call on the bereaved or injured person. It is probable that he will find on the first day that they are overly burdened with calls since they have been a subject of the public press, and he may find that in two or three days interest in the person has cooled off to a point where his own appearance will admit of an actual interview.

He should then enter the presence of the person and give a nominal assist, leave his card which states exactly where church services are held every Sunday and, with the statement that a much fuller recovery is possible by coming to these free services, take his departure.

A great many miracles will follow in his wake and he is liable to become a subject of the press himself. However, in handling the press he should simply say that it is a mission of the church to assist those who are in need of assistance.

He should avoid any lengthy discussions of Scientology and should talk about the work of ministers and how all too few ministers these days get around to places where they are needed.

He should use the opportunity to castigate, not to hold classes on Scientology. Some small percentage of the persons visited or their families will turn up in his group.

Thus he will build a group and naturally from that group he will get a great many individual preclears. HCOB 15 Sept Der Bus angeblich in Indonesien: Bild aus der Website www.

Over Scientology Volunteer Ministers are actively helping in disaster locations and a team, having received permission, is now en route to the ground zero of the disaster at Aceh in Indonesia.

It is comprised of Scientologists Volunteer Ministers including a team of Budhhist monks who have learned and use Scientology techniques to help victims.

Bild-Legenden lenken vom eigentlichen Inhalt des Bildes ab: Zur Erhöhung der Glaubwürdigkeit wird hier behauptet, das Team habe gerade die Erlaubnis erhalten.

Zur Erhöhung der Glaubwürdigkeit heisst es hier, das Bild zeige eine Gruppe buddhistischer Mönche, welche die Scientology-Techniken gelernt haben und anwenden.

Die indische Nachrichtengentur ANI berichtete am 7. Stettler ist langjähriger Scientology- Multifunktionär Fundstellen in dieser Website hier und in www.

Er habe über die Hilfsaktion von Scietology berichtet. Überwiegend scheint die E-Mail allerdings Werbung für die Scientology-Organisation enthalten zu haben.

Die Kirche biete seit ganzjährig geistliche Hilfe durch Freiwillige zwecks Lebensbewältigung. In this press release Jürg Stettler, who is co-ordinating the actions for his country with other countries, said that hundreds of volunteer ministers have already been dispatched to these Tsunami disaster sites and they are working in close co-ordination with local authorities and other aid-organisations.

In disaster situations the main tools of the Volunteers Minister are Scientology Assists and organisational skills. Scientology assists are applied after basic first aid and help a person recover spiritually from shock, trauma and exhaustion and these have also been seen to dramatically benefit physical healing, said Jürg Stettler.

He said that they have been receiving reports from our volunteers in these areas is that there is total devastation comparable to a nuclear bombing, with absolutely nothing left.

While giving details of the organisation, Stettler said that the church's program is a year round voluntary activity implemented in to bring spiritual relief and succour to anyone coping with the struggles of life.

He said the Church trains volunteers in a variety of skills, ranging from helping children and resolving conflicts, to dealing with dangerous environments, providing spiritual assistance for illness and injuries, organisational skills and ethics.

He informed that volunteer ministers have contributed to relief efforts around the world, including the civil disorder and earthquake in Los Angeles, earthquakes in Japan, Indonesia and Russia, fires in California, Arizona and Sydney, Australia, the Oklahoma City bombing; in New York ; the Moscow theater hostage; and recently, the hurricane struck areas of Florida.

Russland aktuell vom Über 20 Mitarbeiter der Organisation wurden Medienberichten vom Freitag zufolge von der Polizei vorgeladen und aufgefordert, die Republik innerhalb von 24 Stunden zu verlassen.

Nach Angaben des nordossetischen Innenministeriums habe Scientology nicht über die nötigen Lizenzen für ihre Tätigkeit verfügt. Die ossetischen Gesundheitsbehörden hatten vor knapp zwei Wochen ein Ende der Scientology-Aktivitäten gefordert.

Mitarbeiter von Scientology hatten die Einwohner von Beslan in ein Zentrum für psychologische Hilfe eingeladen und Literatur vertrieben. Wie Stanislaw Kessajew, stellvertretender Parlamentschef Nordossetiens, am Donnerstag gegenüber der "Wremja nowostej" mitteilte, "muss ein jeder Missionar, der seine Aktivitäten auf dem Territorium unserer Republik betreiben will, von jetzt an alle notwendigen Dokumente und Genehmigungen bei sich haben, die seine Vollmachten und Kompetenzen bestätigen würden".

Alina Lewizkaja, Bildungsministerin Nordossetiens, begründete die Notwendigkeit eines solchen Dokumentes damit, dass die Aktivitäten verschiedener totalitärer Sekten nach der Geiselnahme in Beslan zugenommen hätten.

Buchstäblich wenige Tage nach den tragischen Ereignissen erhielten die Rechtsschutzorgane Beschwerden von Psychologen sowie von Mitarbeitern des Gesundheits- und des Bildungsministeriums der Republik sowie von Einwohnern Beslans über Aktivitäten von Sektanten, in erster Linie von Scientologen.

In erster Linie forderten wir die Scientologen auf, Beslan zu verlassen. Es handle sich unter anderem um Jehovas Zeugen und Krishnaiten.

Die Scientologen, die sich Volunteer Ministers nennen, versuchten, mit den trauernden Erfurtern ins Gespräch zu kommen.

Dieser enthält banale Lebensweisheiten des Scientology-Gründers, in denen die Anhänger den Schlüssel zur Bewältigung vieler Probleme sehen.

Dies ist besonders pikant, weil Scientology sich offiziell nicht mit der Frage nach Gott befasst.

Einzig im klein Gedruckten erscheint der Name Hubbard. Die Präsenz der Scientologen in Erfurt überrascht Szenekenner nicht. Und selbst am 1.

Bei der Nachdemo machten sich die Scientologen allerdings aus dem Staub. Dabei hätten sich die selbst ernannten Katastrophenhelfer bei der Strassenschlacht nützlich machen können, denn mehrere Polizisten und Demonstranten wurden verletzt und brauchten Hilfe.

Die Scientologen propagieren nämlich so genannte Assists oder Beistände. Es handelt sich dabei um eine banale Art des Handauflegens, das wahre Wunder wirken soll.

Der jährige Sohn ihrer Freundin sei nach einem Motorradunfall im Koma gelegen. Nachdem Baritz dem Knaben mit einem Assist geholfen habe, sei er aus dem Koma erwacht.

Das Gleiche soll wenige Tage später auch bei einem Säugling funktioniert haben. Thüringer Allgemeine vom 7.

Für den Laien kaum erkennbar: Hinter dem Büchlein steckt die Scientology-Sekte. Unaufdringlich bot er Menschen in seiner Umgebung ein Gespräch an über die schwierige Situation.

Auf dem Weg in die Zukunft könne vielleicht ein kleines Heftchen helfen, ein "Leitfaden zum besseren Leben, der auf gesundem Menschenverstand beruht", so der Titel.

Angegeben ist eine dänische Adresse. Das Heft war nach der Katastrophe meist dort zu haben, wo sich viele Menschen versammelten. Im Impressum wird ausdrücklich darauf verwiesen, dass das Vertreiben des Buches "Regierungsbehörden und deren Angestellten gestattet" sei, "da es keine religiöse Aktivität ist.

Absender der Erklärung war die Scientology-Sekte. Dabei sind die Aktivitäten von Scientology in Thüringen nach Erkenntnissen des hiesigen Verfassungsschutzes gegenüber den alten Ländern bisher eher zurückhaltend.

Sie gehen über den gelegentlichen Versand von Zeitschriften, Magazinen oder Büchern an Privatpersonen, Rathäuser oder Polizeidienststellen kaum hinaus.

Niederlassungen soll es im Freistaat noch nicht geben. Ob sich das durch die jüngste Verteil-Aktion ändert, sei noch nicht klar, meint das Innenministerium.

Aber auch die deutsche Broschüre lässt sich klar einer der Unterorganisationen von Scientology zuordnen, der "Association for better living and education".

Ziel dieser gegründeten Vereinigung ist es, in "gesellschaftlichen und sozialen Bereichen Verbesserung der individuellen Lebenssituation herbeizuführen".

Dazu zählen sowohl Nachhilfeunterricht als auch Anti-Drogen-Programme. Wer sich darauf einlässt, spürt früher oder später, was nach Aussage von Opfern Scientology wirklich von seinen Jüngern will: Der Inhalt des kleinen Heftes gibt sich unverfänglich.

Lebensregeln, an den zehn Geboten orientiert "Du sollst nicht töten" , hygienische Fragen "Sie sollten sich ihre Zähne machen lassen".

Dazu kleine Tipps, wie man Erfolg haben kann, ohne dabei die Menschlichkeit zu vernachlässigen. Die Publikation ist nicht im üblichen Sekten-Deutsch gehalten.

Es handele sich mehr um eine "Einstiegsdroge", sagen Experten. Ob es ein nächstes Mal in Erfurt gibt, bleibt abzuwarten.

Mit den Übertragungswagen und Touristenpulks verschwanden offenbar auch viele der so freundlichen Verteiler wieder aus der Landeshauptstadt.

Nur eine sehr gut deutsch sprechende ältere Dame soll gestern noch mit ihren kleinen Büchern vor dem Erfurter Rathaus gesehen worden sein.

So vermeldet "Scientology", vom Roten Kreuz um seelsorgerische Hilfe gebeten worden zu sein. Doch tatsächlich arbeitet die Organisation mit weniger lauteren Mitteln.

Wie gestern bekannt wurde, sollen sich rund "Volunteers" Freiwillige , mit Werbe-Broschüren der Hubbard-Sekte "bewaffnet", in Manhattans Sperrbezirk aufhalten, um "seelsorgerisch" tätig zu sein.

Auf dem Pressefax liest es sich wie eine Erfolgsstory: Es folgt die Schilderung einer hollywoodreifen Erweckungsszene, in der ein kraftloser Feuerwehrmann nach einem "Beistand" durch Scientology-Mitglieder die Suche nach dem vermissten Bruder fortsetzen konnte.

Der Verfassungsschutz zeigt sich wenig überrascht darüber, dass die Organisation in dieser "angespannten Situation" tätig wird.

Stuttgarts Referatsleiter Klaus-Dieter Schiemann sagt, man dürfe sich wohl die Frage stellen, "ob das die Hilfe ist, die die Helfer brauchen, die permanent Leichenteile aus den Trümmerbergen ziehen".

Ganz typisch ist für Schiemann die Ausgangslage, in der "Scientology" tätig wird: Denn, dass die Sekte natürlich nur scientologische Erklärungsmuster biete, sei klar.

Dieses Buch beschreibt in verständlicher Weise einen holistischen Ansatz für das Management der Datenqualität in Unternehmen. Prerequisite for Successful Business Models.

Dec epubli GmbH. Aug Springer Gabler. Daten sind die strategische Ressource des Es findet kein Geschäftsprozess, keine Kommunikation zwischen Geschäftspartnern, keine Wertschöpfung statt, ohne dass die involvierten Personen, Maschinen und IT-Systeme Daten nutzen, erzeugen oder verändern.

Trends wie die Digitalisierung, Industrie 4. Damit Daten ihren ganzen Wert entfalten können, müssen sie stets in angemessener Qualität zur Verfügung stehen.

Dies gilt besonders für Stammdaten, die zentralen Geschäftsobjekte eines Unternehmens. Dieses Buch zeigt einen ganzheitlichen Ansatz zum qualitätsbewussten Management von Stammdaten auf und richtet sich damit sowohl an Praktiker als auch an die Wissenschaft.

Gallen seit dem Jahr gemeinsam mit Unternehmen aus unterschiedlichen Industrien in zahlreichen praktischen Anwendungen entwickelt und verbessert.

Business models comprehensively describe the functioning of businesses in contemporary economic, technological, and societal environments.

This paper focuses on the characteristics of digital business models from the perspective of capability research and develops a capability model for digital businesses.

Following the design science research DSR methodology, multiple evaluation and design iterations were performed.

Buzzwords like big data, the Internet of Things, mobile computing, or Industry 4. Data management departments need to revise their existing architectures and processes to get ready for the new requirements, for example regarding data availability, data integration, and data credibility.

The report builds on insights collected from the CC CDQ workshops and bilateral pro-jects taking place in It aims at providing data managers of medium and large enterprises from all industries with useful background information and practical guidance for their journey towards the digital economy.

Methodological Foundations and First Experiences from the Field. Jun 28th Bled eConference. Digitization is affecting almost all areas of business and society.

It brings about opportunities for enterprises to design a digital business model. While a significant amount of research exist examining the conceptual foundation of business models in general, no comprehensive approach is available that helps enterprises in designing a digital business model.

This paper addresses this gap and proposes Digital Business Engineering as a method for digital business model design. The method development follows principles of design-oriented research.

Five case studies are used to analyse method requirements and evaluate it within is natural context. May European Conference on Information Systems We tested this model, using survey data gathered from IT decision makers of companies which have adopted cloud enterprise systems.

Besides cloud specific findings, the study also enhances knowledge in the area of organizational level system continuance as well as its connection to IS success.

Enterprises are facing problems in managing the quality and value of their key data objects often referred to as master data. This paper presents the findings from a case study comprising six large enterprises.

The study results point to the importance of the situational nature of master data as a strategic resource, which must be considered when analyzing how the quality of data affects its value for business.

Essay zur Logistik 4. Jan Enterprise Interoperability. The ability to re-configure effectively a global production network to meet the ever changing demands of business product-service requirements is a significant problem for manufacturing industry that raises issues for the dynamic sharing and reuse of information and knowledge between systems and across domains.

The research approach discussed in this paper focuses on the provision of software services to support this need. These services are underpinned by new enterprise modelling methods and a hierarchy of reference semantics that provide the core basis for knowledge sharing across the multiple factors that need to be addressed in effective production network configuration.

Enterprises need high-quality data in order to meet a number of strategic business requirements. Permanent maintenance and sustainable improvement of data quality can be achieved by an enterprise-wide approach only.

The paper presents a Maturity Model for Enterprise Data Quality Management Enterprise DQM , which aims at supporting enterprises in their effort to deliberately design and establish organisation-wide data quality management.

The model design process, which covered a period of five years, included several iterations of multiple design and evaluation cycles and intensive collaboration with practitioners.

The Maturity Model is a hierarchical model comprising, on its most detailed level, 30 practices and 56 measures that can be used as concrete assessment elements during an appraisal.

Besides being used for determining the level of maturity of Enterprise DQM in organisations, the results of the paper contribute to the ongoing discussion in the information systems IS community about maturity model design in general.

A high number of business cases are characterized by an expanded complexity. This is based on increased collaboration between companies, customers and governmental organizations on one hand and more individual products and services on the other hand.

Due to that, companies are planning to address these issues with Big Data solutions. This paper deals with Big Data solutions focusing on Supply Chains, which represents a key discipline for handling the increased collaboration next to vast amounts of exchanged data.

Today, the main focus lays on optimizing Supply Chain Visibility to handle complexity and to support decision making for handling risks and interruptions along supply chains.

Therefore, Big Data concepts and technologies will play a key role. This paper describes the current skituation, actual solutions and presents exemplary use-cases for illustration.

A classification regarding the area of application and potential benefits arising from Big Data Analytics are also given. Furthermore, this paper outlines general technologies to show capabilities of Big Data analytics.

Technik für die wandlungsfähige Logistik - Industrie 4. A Morphology of the Organisation of Data Governance. Otto Oesterle Consortium Research Business value of in-memory technology-Multiple-case study insights.

The purpose of this paper is to assess the business value of in-memory computing IMC technology by analyzing its organizational impact in different application scenarios.

This research applies a multiple-case study methodology analyzing five cases of IMC application scenarios in five large European industrial and service-sector companies.

Results show that IMC can deliver business value in various applications ranging from advanced analytic insights to support of real-time processes.

This enables higher-level organizational advantages like data-driven decision making, superior transparency of operations, and experience with Big Data technology.

The findings are summarized in a business value generation model which captures the business benefits along with preceding enabling changes in the organizational environment.

Results aid managers in identifying different application scenarios where IMC technology may generate value for their organizations from business and IT management perspectives.

The research also sheds light on the socio-technical factors that influence the likelihood of success or failure of IMC initiatives.

This research is among the first to model the business value creation process of in-memory technology based on insights from multiple implemented applications in different industries.

Extending the Electricity Marketplace to Distribution Entities. Over the course of the project, 12 partners from seven European countries work on the foundations for a novel heterarchical management approach of electric power grids based on agent systems and considering current and future designs of electricity market systems.

The present paper describes market specific results from the initial phase of the project and discusses challenges and solution approaches associated with the creation of a new electricity distribution scenario.

The Internet of Things, the continuing globalization of logistics networks, decreas-ing product life cycles and increasing numbers of product variants are examples of current developments that pose, in general, new requirements both on net-worked industries and on data in logistical systems.

Volume, heterogeneity and importance of data for businesses are growing. In order to be able to manage data under these complexity constraints, networked industries need a current, compre-hensive and consistent understanding of the data architecture, i.

As current approaches for data architecture management in particular and data resource management in general fall short in providing support for this endeavor, the paper at hand proposes a morphology of the data resource in networked industries.

The morphology is the result of a taxonomic analysis aiming at providing structure to complex data environments. The paper uses four case studies to identify and describe the dimensions of the morphology and its characteristics.

Furthermore, the paper develops the baseline of a method for guiding the application of the morphology. Stammdatenmanagement ist eine Unternehmensfunktion, die sämtliche Planungs-, Überwachungs- und Bereitstellungsaktivitäten für Stammdaten umfasst und deren Ziel die Sicherung der Stammdatenqualität ist.

Stammdaten von hoher Qualität sind die Voraussetzung, damit Unternehmen verschiedene strategische Anforderungen erfüllen können.

Dieser Beitrag beschreibt diejenigen Bereiche, die beim Aufbau eines unternehmensweiten Stammdatenmanagements zu gestalten sind. Potentiale und Risiken von In-Memory-Technologie: May Wirtschaftsinformatik in Wissenschaft und Praxis: Festschrift für Hubert Österle.

Mar Enterprise -Integration. Voraussetzung dafür ist, die aktuellen Herausforderungen im Datenmanagement zu überwinden. Der Beitrag identifiziert Lösungsansätze hierfür und bewertet ihr Problemlösungspotenzial.

Fallstudien zeigen, wie Unternehmen Konzepte der Datenzentrierung bereits erfolgreich einsetzen. Richtungsweisende Entwicklungen wandlungsfähiger Technologien für Ladungsträger, Förder- und Lagertechnik, Flurförderzeuge und Software haben die Voraussetzungen für die Gestaltung von Logistiksystemen geschaffen, die mit einer weitgehenden Mechanisierung und Automatisierung dennoch im weiten Umfang an veränderliche Anforderungen anpassbar sind.

Damit ist vorauszusehen, dass auch in der Distribution und bei Dienstleistern in Kürze immer mehr wandlungsfähige Materialflusstechnik zum Einsatz kommen wird.

Business rules can be crucial to an organization's business operations. In view of a growing number of internal and external challenges such as compliance with regulations, the need for organizational agility, or the need to retain organizational knowledge , organizations increasingly are forced to actively manage their business rules in order to stay successful.

However, business rules management BRM is an organizational task that cannot be encountered simply by implementing a software system. The paper describes the design process toward a functional reference model for business rules management.

The model provides three perspectives on tasks and functions to successfully manage business rules. Practitioners may use the model to establish BRM in their organizations, facilitate communication between business and IT, and evaluate software solutions for BRM.

From a scientific perspective, the model is a design artifact, representing a theory for designing and developing information systems with the objective of managing business rules.

Requirements such as integrated view of the customer or global business process integration make enterprise wide management of master data a prerequisite for achieving business goals.

The master data application architecture, as a part of enterprise master data management, plays a critical role in enterprises.

Choosing the right master data application architecture is a controversial subject in many enterprises. Unfortunately, the current state of the art in research does not provide sufficient guidance for enterprises dealing with this subject.

The paper aims at overcoming this gap in research by presenting a decision model for supporting enterprises in the decision-making process regarding the choice of the right master data application architecture.

Auf dem Weg zum kollaborativen Unternehmen. Beispiele sind schlechte Datenqualität, redundante Datenpflege sowie die Trennung zwischen "strukturierten" und "unstrukturierten" Daten.

Konzeption eines proaktiven Risikomanagements in Logistiknetzwerken. Logistics business networks are growing rapidly and becoming more and more complex.

Companies often do not know of what other companies they depend and which business-critical risks are consequences of these dependencies.

For this reason, a concept of a proactive risk management in logistics networks is presented in this article.

The concept is based on the Big Data technology and used for the identification of risks and the development of a logistics network using in addition to internal company data, external data such as social media platforms or other data portals.

These data are analyzed and risky relationships are graphically displayed to the operator. In addition, the system can identify possible alternatives to the user to avoid these risks and thus be used for decision support.

Retaining customers is a relevant topic throughout all service industries. However, only limited attention has been directed towards studying the antecedents of subscription renewal in the context of operational cloud enterprise systems.

Cloud services have historically been offered as subscription-based services with the theoretical possibility of seamless service cancellation, in contrast to classical IT-Outsourcing contracts or license-based software installations of on-premise enterprise systems.

In this work, we investigate the central concept of subscription renewal by focusing on different facets of IS success and their relevance for distinct employee cohorts.

Analyzing inter-cohort differences has strong practical implications, as it helps IT vendors to focus on specific IT-related factors when trying to retain customers.

Therefore an empirical study was undertaken. The hypotheses were developed on an individual level and tested using survey responses of IT decision makers within companies which adopted cloud enterprise systems.

Gathered data was then analyzed using PLS. The results show that subscription renewal intention of the strategic cohort is mainly based on perceived system quality, whereas information quality explains most of the variance of subscription renewal in the management cohort.

Beneath the cloud enterprise systems specific contributions, the work adds to the theoretical body of research related to IS success and IS continuation, as well as stakeholder perspectives.

Toward a business model reference for interoperability services. The importance of interoperability for businesses is undoubted.

Furthermore, researchers are studying decentralized and distributed interoperability approaches such as peer-to-peer networks, for example.

However, a comprehensive investigation of business models for such decentralized approaches to interoperability is still missing.

Drawing from recent literature on business modeling on the one hand and interoperability research on the other hand this paper designs a business model reference for interoperability services.

The business model reference assumes interoperability information as an economic good and is applied in two case studies and evaluated from multiple perspectives.

The paper contributes to the scientific body of knowledge as it proposes a novel design artifact which lays the foundation for a number of future research opportunities.

On the Evolution of Data Governance in Firms: Data Governance defines decision-making rights for company-wide use of data. While first results can be found in literature addressing Data Governance arrangements, no studies have been published so far investigating the evolution of Data Governance over time.

Drawing on theory about organizational capabilities, the chapter assumes that Data Governance can be considered a dynamic capability and that the concept of capability lifecycles can be applied.

The findings suggest that Data Governance can in fact be seen as a dynamic capability and that its effectiveness evolves according to a lifecycle curve.

Furthermore, the chapter discusses a maturity model which can be used as an instrument to manage and monitor this evolution.

Management of the Master Data Lifecycle: A Framework for Analysis. Purpose - The purpose of the paper is to propose a reference model describing a holistic view of the master data lifecycle, including strategic, tactical and operational aspects.

The paper uses a participative case study to evaluate the suggested model. Findings - Based on a participative case study, the paper shows how the reference model allows to analyze the master data lifecycle on a strategic, a tactical and an operational level, and how it helps identify areas of improvement.

The reference model is grounded in existing literature and represents a comprehensive framework forming the foundation for future analysis of the master data lifecycle.

Hence, it forms a "theory for designing" More research is needed in order to more thoroughly evaluate the presented model in a variety of real-life settings.

Practical implications - The paper shows how the reference model enables practitioners to analyze the master data lifecycle and how it helps identify areas of improvement.

Controlling Customer Master Data Quality: Findings from a Case Study. Data quality management plays a critical role in all kinds of organizations.

Data is one of the most important criteria for strategic business decisions within organizations and the foundation for the execution of business processes.

This can be achieved by implementing a comprehensive controlling system for data quality. The implementation of such a system has been realized in only a few organizations.

This paper presents a single case study describing the implementation of a comprehensive data quality controlling system.

The study focuses on controlling activities defined in the fields of business management. Feb 11th International Conference on Wirtschaftsinformatik The management of master data MDM plays an important role for companies in responding to a number of business drivers such as regulatory compliance and efficient reporting.

While managing master data is an organizational task that cannot be encountered by simply implementing a software system, business processes are necessary to meet the challenges efficiently.

This paper describes the design process of a reference process model for MDM. Practitioners may use the reference model as an instrument for the analysis and design of MDM processes.

From a scientific perspective, the reference model is a design artifact that represents an abstraction of processes in the field of MDM.

Business Models in the Data Economy: Feb 11th International Conference on Wirtschaftsinformatik. Data management seems to experience a renaissance today.

One particular trend in the so-called data economy has been the emergence of business models based on the provision of high-quality data.

In this context, the paper examines business models of business partner data providers. The paper explores as to how and why these business models differ.

Based on a study of six cases, the paper identifies three different business model patterns. A resource-based view is taken to explore the details of these patterns.

Furthermore, the paper develops a set of propositions that help understand why the different business models evolved and how they may develop in the future.

Turning information and data quality into sustainable business value. Data and information1 of high quality is not just a hygiene factor for business, but has turned into an asset for competitive advantage.

In line with this, data must be carefully managed, thoughtfully governed, strategically used, and sensibly controlled. Excellent organizations recognize the importance of timely, accurate, and reliable data and accordingly treat data as an asset the same way they treat all other corporate assets such as employees, patents, or manufacturing equipment, for example.

The opposite, however, is also true; enterprises using only ad hoc data management practices find that important information gets locked in silos, reports are untrustworthy or practically useless, and vital processes depending on data often run incorrectly.

To support enterprises in their efforts, the Framework for Corporate Data Quality Management CDQM describes structures and activities that need to be built up and implemented for efficient and effective management of enterprise-wide data.

The Framework focuses on raising awareness of the topic and on giving guidance for establishing CDQM in organizations. What the Framework does not do, however, is providing guidelines or recommendations as to how corporate data quality management is supposed to be implemented from a technical point of view.

This white paper can be used in several ways: Researcher-Practitioner Collaboration and Knowledge Transfer: Results from an Online Survey.

Researcher-practitioner collaboration has been receiving much attention in the de-bate about relevant Information Systems IS research.

Successful collaboration be-tween researchers and practitioners requires the transfer of knowledge, both from research to practice and vice-versa.

The working report presents the results of an online survey on researcher-practitioner collaboration among design science researchers.

It does not aim at inter-preting the results, but rather forms as their documentation. The results can then be taken up in further research activities.

Design Science Research DSR advances the scientific knowledge base while at the same time leading to research results of practical utility.

Several guidelines for DSR have been proposed to support researchers in their work. Collaborative forms of DSR require that knowledge be created across the boundaries of the research community and the practitioners community.

Only little research, though, has been undertaken so far investigating the topic of knowledge creation in collaborative DSR settings. Answers to fundamental questions are still missing: What knowledge creation processes are used?

What problems may occur during researcher-practitioner collaboration? This paper addresses the gap in literature by taking a knowledge creation perspective on DSR.

Based on a literature review and findings from the field it proposes a set of principles for knowledge creation in collaborative DSR.

A characteristics framework for Semantic Information Systems Standards. Semantic Information Systems IS Standards play a critical role in the development of the networked economy.

Terminological confusion exists around the notions of business semantics, business-to-business interoperability, and interoperability standards amongst others.

And, moreover, a comprehensive understanding about the characteristics of Semantic IS Standards is missing.

The paper addresses this gap in literature by developing a characteristics framework for Semantic IS Standards. Two case studies are used to check the applicability of the framework in a real-life context.

The framework lays the foundation for future research in an important field of the IS discipline and supports practitioners in their efforts to analyze, compare, and evaluate Semantic IS Standards.

Integrating a data quality perspective into business process management. Purpose — The purpose of this paper is to conceptualize data quality DQ in the context of business process management and to propose a DQ oriented approach for business process modeling.

The approach is based on key concepts and metrics from the data quality management domain and supports decision-making in process re-design projects on the basis of process models.

To do so, method engineering is used as a design technique. The artifact is theoretically founded and incorporates DQ considerations into process re-design.

Furthermore, the paper uses a case study to evaluate the suggested approach. Findings — The paper shows that the DQ oriented process modeling approach facilitates and improves managerial decision-making in the context of process re-design.

Data quality is considered as a success factor for business processes and is conceptualized using a rule-based approach. More research is needed to triangulate the findings and to allow generalizability of the results.

Practical implications — The paper supports decision-makers in enterprises in taking a DQ perspective in business process re-design initiatives.

The paper represents one of the first contributions to literature regarding a contemporary phenomenon of high practical and scientific relevance.

Conceptualizing Data in Multinational Enterprises: Model Design and Application. Collaboration and coordination within multinational enterprises need unambiguous semantics of data across business units, legal contexts, cultures etc.

Therefore data management has to provide enterprise-wide data ownership, an unambiguous distinction between "global" and "local" data, business-driven data quality specifications, and data consistency across multiple applications.

Data architecture design aims at addressing these challenges. Particularly multinational enterprises, however, encounter difficulties in identifying, describing and designing the complex set of data architectural dimensions.

The paper responds to the research question of what concepts need to be involved to support comprehensive data architecture design in multinational enterprises.

It develops a conceptual model, which covers all requirements for defining, governing, using, and storing data. The conceptual model is applied in a case study conducted at a multinational corporation.

Well-grounded in the existing body of knowledge, the paper contributes by identifying, describing, and aggregating a set of concepts enabling multinational enterprises to meet business requirements.

Toward a functional reference model for master data quality management. The quality of master data has become an issue of increasing prominence in companies.

One reason for that is the growing number of regulatory and legal provisions companies need to comply with.

Another reason is the growing importance of information systems supporting decision-making, requiring master data that is up-to-date, accurate and complete.

While improving and maintaining master data quality is an organizational task that cannot be encountered by simply implementing a suitable software system, system support is mandatory in order to be able to meet challenges efficiently and make for good results.

This paper describes the design process toward a functional reference model for master data quality management MDQM.

Moreover, the reference model facilitates evaluation of software systems and supports company-internal and external communication.

From a scientific perspective, the reference model is a design artifact; hence it represents a theory for designing information systems in the area of MDQM.

KeywordsData quality management—Master data management—Design science research—Reference model.

How to design the master data architecture: Findings from a case study at Bosch. As a prerequisite for meeting strategic business requirements, such as compliance with regulations, business integration, or integrated customer management, MDM comprises numerous activities.

One of the central activities is designing and maintaining the master data architecture. Interestingly, though, the scientific community has remained almost silent with regard to the question as to how companies should proceed when designing the master data architecture.

In order to shed light on this unexplored topic, the paper at hand presents the findings of a case study at Bosch Group. The case study shows that designing the master data architecture is a multidimensional task which requires balancing the interests of various organizational stakeholders, managing an array of technical opportunities, and meeting requirements of numerous master data classes.

Also, the case study suggests that taking advantage of architectural design patterns may be an appropriate way to adequately address the complexity of the task.

Managing the business benefits of product data management: The case of Festo. Purpose — The paper seeks to investigate the question as to how the business benefits of product data management PDM can be assessed and realized.

In particular, it aims at understanding the means-end relationship between PDM and product data on the one hand and a company's business goals on the other hand.

The case of Festo is unique and allows for detailed examination of both the business benefits of PDM and of the inter-dependencies of various business benefit enablers.

Due to the limited amount of scientific knowledge with regard to the management of PDM business benefits, the study is exploratory in nature. The conceptual framework used to guide the study combines business engineering concepts and the business dependency network technique.

Findings — The findings are threefold. First, the paper explicates and details the understanding of the nature of PDM business benefits.

Third, the paper forms the baseline for a comprehensive method supporting the management of PDM business benefits.

Thus, future research should aim at replicating the findings and at developing a comprehensive method for the management of PDM business benefits.

High-quality data is not just a competitive factor for individual companies but also an enabler for collaboration in business networks.

The paper takes a cross-company perspective on data quality and identifies requirements collaborative business processes pose to data quality.

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Stettler ist langjähriger Scientology- Multifunktionär Fundstellen in dieser Website hier und in www. Er habe über die Hilfsaktion von Scietology berichtet.

Überwiegend scheint die E-Mail allerdings Werbung für die Scientology-Organisation enthalten zu haben. Die Kirche biete seit ganzjährig geistliche Hilfe durch Freiwillige zwecks Lebensbewältigung.

In this press release Jürg Stettler, who is co-ordinating the actions for his country with other countries, said that hundreds of volunteer ministers have already been dispatched to these Tsunami disaster sites and they are working in close co-ordination with local authorities and other aid-organisations.

In disaster situations the main tools of the Volunteers Minister are Scientology Assists and organisational skills. Scientology assists are applied after basic first aid and help a person recover spiritually from shock, trauma and exhaustion and these have also been seen to dramatically benefit physical healing, said Jürg Stettler.

He said that they have been receiving reports from our volunteers in these areas is that there is total devastation comparable to a nuclear bombing, with absolutely nothing left.

While giving details of the organisation, Stettler said that the church's program is a year round voluntary activity implemented in to bring spiritual relief and succour to anyone coping with the struggles of life.

He said the Church trains volunteers in a variety of skills, ranging from helping children and resolving conflicts, to dealing with dangerous environments, providing spiritual assistance for illness and injuries, organisational skills and ethics.

He informed that volunteer ministers have contributed to relief efforts around the world, including the civil disorder and earthquake in Los Angeles, earthquakes in Japan, Indonesia and Russia, fires in California, Arizona and Sydney, Australia, the Oklahoma City bombing; in New York ; the Moscow theater hostage; and recently, the hurricane struck areas of Florida.

Russland aktuell vom Über 20 Mitarbeiter der Organisation wurden Medienberichten vom Freitag zufolge von der Polizei vorgeladen und aufgefordert, die Republik innerhalb von 24 Stunden zu verlassen.

Nach Angaben des nordossetischen Innenministeriums habe Scientology nicht über die nötigen Lizenzen für ihre Tätigkeit verfügt.

Die ossetischen Gesundheitsbehörden hatten vor knapp zwei Wochen ein Ende der Scientology-Aktivitäten gefordert.

Mitarbeiter von Scientology hatten die Einwohner von Beslan in ein Zentrum für psychologische Hilfe eingeladen und Literatur vertrieben. Wie Stanislaw Kessajew, stellvertretender Parlamentschef Nordossetiens, am Donnerstag gegenüber der "Wremja nowostej" mitteilte, "muss ein jeder Missionar, der seine Aktivitäten auf dem Territorium unserer Republik betreiben will, von jetzt an alle notwendigen Dokumente und Genehmigungen bei sich haben, die seine Vollmachten und Kompetenzen bestätigen würden".

Alina Lewizkaja, Bildungsministerin Nordossetiens, begründete die Notwendigkeit eines solchen Dokumentes damit, dass die Aktivitäten verschiedener totalitärer Sekten nach der Geiselnahme in Beslan zugenommen hätten.

Buchstäblich wenige Tage nach den tragischen Ereignissen erhielten die Rechtsschutzorgane Beschwerden von Psychologen sowie von Mitarbeitern des Gesundheits- und des Bildungsministeriums der Republik sowie von Einwohnern Beslans über Aktivitäten von Sektanten, in erster Linie von Scientologen.

In erster Linie forderten wir die Scientologen auf, Beslan zu verlassen. Es handle sich unter anderem um Jehovas Zeugen und Krishnaiten.

Die Scientologen, die sich Volunteer Ministers nennen, versuchten, mit den trauernden Erfurtern ins Gespräch zu kommen.

Dieser enthält banale Lebensweisheiten des Scientology-Gründers, in denen die Anhänger den Schlüssel zur Bewältigung vieler Probleme sehen.

Dies ist besonders pikant, weil Scientology sich offiziell nicht mit der Frage nach Gott befasst. Einzig im klein Gedruckten erscheint der Name Hubbard.

Die Präsenz der Scientologen in Erfurt überrascht Szenekenner nicht. Und selbst am 1. Bei der Nachdemo machten sich die Scientologen allerdings aus dem Staub.

Dabei hätten sich die selbst ernannten Katastrophenhelfer bei der Strassenschlacht nützlich machen können, denn mehrere Polizisten und Demonstranten wurden verletzt und brauchten Hilfe.

Die Scientologen propagieren nämlich so genannte Assists oder Beistände. Es handelt sich dabei um eine banale Art des Handauflegens, das wahre Wunder wirken soll.

Der jährige Sohn ihrer Freundin sei nach einem Motorradunfall im Koma gelegen. Nachdem Baritz dem Knaben mit einem Assist geholfen habe, sei er aus dem Koma erwacht.

Das Gleiche soll wenige Tage später auch bei einem Säugling funktioniert haben. Thüringer Allgemeine vom 7. Für den Laien kaum erkennbar: Hinter dem Büchlein steckt die Scientology-Sekte.

Unaufdringlich bot er Menschen in seiner Umgebung ein Gespräch an über die schwierige Situation. Auf dem Weg in die Zukunft könne vielleicht ein kleines Heftchen helfen, ein "Leitfaden zum besseren Leben, der auf gesundem Menschenverstand beruht", so der Titel.

Angegeben ist eine dänische Adresse. Das Heft war nach der Katastrophe meist dort zu haben, wo sich viele Menschen versammelten.

Im Impressum wird ausdrücklich darauf verwiesen, dass das Vertreiben des Buches "Regierungsbehörden und deren Angestellten gestattet" sei, "da es keine religiöse Aktivität ist.

Absender der Erklärung war die Scientology-Sekte. Dabei sind die Aktivitäten von Scientology in Thüringen nach Erkenntnissen des hiesigen Verfassungsschutzes gegenüber den alten Ländern bisher eher zurückhaltend.

Sie gehen über den gelegentlichen Versand von Zeitschriften, Magazinen oder Büchern an Privatpersonen, Rathäuser oder Polizeidienststellen kaum hinaus.

Niederlassungen soll es im Freistaat noch nicht geben. Ob sich das durch die jüngste Verteil-Aktion ändert, sei noch nicht klar, meint das Innenministerium.

Aber auch die deutsche Broschüre lässt sich klar einer der Unterorganisationen von Scientology zuordnen, der "Association for better living and education".

Ziel dieser gegründeten Vereinigung ist es, in "gesellschaftlichen und sozialen Bereichen Verbesserung der individuellen Lebenssituation herbeizuführen".

Dazu zählen sowohl Nachhilfeunterricht als auch Anti-Drogen-Programme. Wer sich darauf einlässt, spürt früher oder später, was nach Aussage von Opfern Scientology wirklich von seinen Jüngern will: Der Inhalt des kleinen Heftes gibt sich unverfänglich.

Lebensregeln, an den zehn Geboten orientiert "Du sollst nicht töten" , hygienische Fragen "Sie sollten sich ihre Zähne machen lassen".

Dazu kleine Tipps, wie man Erfolg haben kann, ohne dabei die Menschlichkeit zu vernachlässigen. Die Publikation ist nicht im üblichen Sekten-Deutsch gehalten.

Es handele sich mehr um eine "Einstiegsdroge", sagen Experten. Ob es ein nächstes Mal in Erfurt gibt, bleibt abzuwarten.

Mit den Übertragungswagen und Touristenpulks verschwanden offenbar auch viele der so freundlichen Verteiler wieder aus der Landeshauptstadt.

Nur eine sehr gut deutsch sprechende ältere Dame soll gestern noch mit ihren kleinen Büchern vor dem Erfurter Rathaus gesehen worden sein.

So vermeldet "Scientology", vom Roten Kreuz um seelsorgerische Hilfe gebeten worden zu sein. Doch tatsächlich arbeitet die Organisation mit weniger lauteren Mitteln.

Wie gestern bekannt wurde, sollen sich rund "Volunteers" Freiwillige , mit Werbe-Broschüren der Hubbard-Sekte "bewaffnet", in Manhattans Sperrbezirk aufhalten, um "seelsorgerisch" tätig zu sein.

Auf dem Pressefax liest es sich wie eine Erfolgsstory: Es folgt die Schilderung einer hollywoodreifen Erweckungsszene, in der ein kraftloser Feuerwehrmann nach einem "Beistand" durch Scientology-Mitglieder die Suche nach dem vermissten Bruder fortsetzen konnte.

Der Verfassungsschutz zeigt sich wenig überrascht darüber, dass die Organisation in dieser "angespannten Situation" tätig wird.

Stuttgarts Referatsleiter Klaus-Dieter Schiemann sagt, man dürfe sich wohl die Frage stellen, "ob das die Hilfe ist, die die Helfer brauchen, die permanent Leichenteile aus den Trümmerbergen ziehen".

Ganz typisch ist für Schiemann die Ausgangslage, in der "Scientology" tätig wird: Denn, dass die Sekte natürlich nur scientologische Erklärungsmuster biete, sei klar.

Kenner der Szene sind empört, aber kaum überrascht. Das Gleiche, so Hausherr, habe sich bereits nach dem Bombenattentat in Oklahoma abgespielt.

Was die Organisation nicht sagt: Ein Verweis auf Scientology fehlte. Doch wer anrief, landete dort. Am Telefon wurde, berichtet die "St.

Er wies die Verantwortung dem Sender zu. Der Chef der wirklichen nationalen Gesundheitsvereinigung, Michael Faenza, warnte in der Tageszeitung, "Scientology" sei die allerletzte Organisation, die emotional angegriffene Menschen anrufen sollten.

Das Vorgehen von "Scientology" nannte er "abscheulich" und bat die "Organisation dringend, sich aus der psychologischen Betreuung rauszuhalten".

Scientology-Kritiker Hausherr ist empört, dass "sie es tatsächlich wieder geschafft haben". Und brüsten sich in anderen "mailings" damit, andere "echte" Psychologen an der Arbeit gehindert zu haben.

Beim Crossair-Absturz kamen sie aber zu spät. Da kam das Crossair-Unglück vom Samstag für die Schweizer Scientologen wie gerufen, um ihre Katastrophentauglichkeit zu beweisen.

Doch sie kamen zu spät. Selbst wenn sie rechtzeitig an der Absturzstelle erschienen wären, hätten sie tatenlos zusehen müssen. Die Hubbard-Jünger waren nicht nur in Bassersdorf unerwünscht, sie werden auch in Zukunft weggewiesen.

Denn schon beim Attentat von Zug seien unliebsame Erfahrungen mit selbst ernannten Hilfspersonen gemacht worden.

Ob es sich dabei um Scientologen handelte, konnte der Polizeisprecher nicht sagen. Auch die Feuerwehr hat keine Freude an den freiwilligen Helfern.

Die Rettungsteams seien aufeinander eingespielt, fremde Personen ohne bestimmte Aufgaben würden den Katastropheneinsatz hingegen behindern.

Es sei schon vorgekommen, dass sich Helfer um Patienten gestritten hätten. Sie möchten nämlich bis in einem Monat ein Korps mit "Volunteer Ministers" aufbauen und "Behörden und Institutionen kontaktieren, um zukünftige Aktionen zu koordinieren und die zuständigen Stellen über das geplante Korps zu informieren".

Im Januar will Scientology auch Inserate schalten, um der Öffentlichkeit den neuen Service bekannt zu machen. Scientologen fühlen sich besonders befähigt, Katastrophenopfern zu helfen.

Der Sektengründer Hubbard hat nämlich eine simple Hilfsmethode propagiert, den "Berührungsbeistand". Dabei handelt es sich um eine Art des Handauflegens, die Hubbard als wahres Wundermittel beschreibt.

Die Methode soll Schmerzen lindern, die Heilung beschleunigen, Angst abbauen und Trauer überwinden helfen. Hilfe "in dieser schwierigen Zeit" wollen die Scientologen nicht nur den Katastrophenopfern zukommen lassen, sondern auch den Behörden, Wirtschaftsführern und der Bevölkerung.

Erreichbar wäre dies aber nur, wenn alle Menschen Scientology-Kurse besuchen würden. Deshalb drängt sich der Verdacht auf, dass auch die Katastrophenhilfe der Scientologen dazu dient, Scientology in die Medien zu bringen und die Opfer und Angehörigen in die Sektenzentren.

Aus Zürich haben sie sich aufgemacht um mit der Not der Menschen, die hautnah den Absturz der beiden Flugzeuge über Owingen und Taisersdorf miterlebt haben, einen Gewinn zu machen.

Kapitel 3 beschreibt drei ausgewählte Werkzeuge für das Stammdatenqualitätsmanagement. Datenqualitätsmanagement für den Industriebetrieb.

There is an increasing pressure on manufacturing enterprises to innovate in their business model due to the accelerated change of market factors e.

An important problem is the efficient, comprehensive and rapid transformation of a strategic idea to the tactical planning and its realization.

Considering the variety of internal and external factors that have an impact on the global production network. In order to support decision makers with these complex tasks, the paper proposes an approach that facilitates more informed and faster decisions on new business opportunities.

The approach incorporates an information structure allowing tracking and evaluating decisions from the first idea to its realization. Classifying flexibility types in smart electric distribution grids: This paper proposes a classification scheme for the different types of flexibilities that are used in electric grids.

This classification scheme, which is called a taxonomy, helps to convey the meaning of different concepts of flexibility in research and industrial projects.

It also allows to compare the sources and uses of flexibility in conventional vs. Daten sind die Basis der digitalisierten Wirtschaft.

Datenqualität wird dabei zum kritischen Erfolgsfaktor. Dieses Buch präsentiert für Praktiker wie für Wissenschaftler einen Ansatz für das qualitätsorientierte Datenmanagement sowie zehn Fallstudien dazu.

Kein Unternehmen kann sich mehr leisten, auf das Management dieses Guts zu verzichten. Die vielen Praxisbeispiele sind wissenschaftlich fundiert und enthalten konkrete Empfehlungen zur dauerhaften Sicherung der Datenqualität im Unternehmen.

Auf dieser Basis erkennen wir, dass Daten eines der wichtigsten Wirtschaftsgüter der Zukunft werden. Dieses Buch beschreibt in verständlicher Weise einen holistischen Ansatz für das Management der Datenqualität in Unternehmen.

Prerequisite for Successful Business Models. Dec epubli GmbH. Aug Springer Gabler. Daten sind die strategische Ressource des Es findet kein Geschäftsprozess, keine Kommunikation zwischen Geschäftspartnern, keine Wertschöpfung statt, ohne dass die involvierten Personen, Maschinen und IT-Systeme Daten nutzen, erzeugen oder verändern.

Trends wie die Digitalisierung, Industrie 4. Damit Daten ihren ganzen Wert entfalten können, müssen sie stets in angemessener Qualität zur Verfügung stehen.

Dies gilt besonders für Stammdaten, die zentralen Geschäftsobjekte eines Unternehmens. Dieses Buch zeigt einen ganzheitlichen Ansatz zum qualitätsbewussten Management von Stammdaten auf und richtet sich damit sowohl an Praktiker als auch an die Wissenschaft.

Gallen seit dem Jahr gemeinsam mit Unternehmen aus unterschiedlichen Industrien in zahlreichen praktischen Anwendungen entwickelt und verbessert.

Business models comprehensively describe the functioning of businesses in contemporary economic, technological, and societal environments.

This paper focuses on the characteristics of digital business models from the perspective of capability research and develops a capability model for digital businesses.

Following the design science research DSR methodology, multiple evaluation and design iterations were performed.

Buzzwords like big data, the Internet of Things, mobile computing, or Industry 4. Data management departments need to revise their existing architectures and processes to get ready for the new requirements, for example regarding data availability, data integration, and data credibility.

The report builds on insights collected from the CC CDQ workshops and bilateral pro-jects taking place in It aims at providing data managers of medium and large enterprises from all industries with useful background information and practical guidance for their journey towards the digital economy.

Methodological Foundations and First Experiences from the Field. Jun 28th Bled eConference. Digitization is affecting almost all areas of business and society.

It brings about opportunities for enterprises to design a digital business model. While a significant amount of research exist examining the conceptual foundation of business models in general, no comprehensive approach is available that helps enterprises in designing a digital business model.

This paper addresses this gap and proposes Digital Business Engineering as a method for digital business model design.

The method development follows principles of design-oriented research. Five case studies are used to analyse method requirements and evaluate it within is natural context.

May European Conference on Information Systems We tested this model, using survey data gathered from IT decision makers of companies which have adopted cloud enterprise systems.

Besides cloud specific findings, the study also enhances knowledge in the area of organizational level system continuance as well as its connection to IS success.

Enterprises are facing problems in managing the quality and value of their key data objects often referred to as master data.

This paper presents the findings from a case study comprising six large enterprises. The study results point to the importance of the situational nature of master data as a strategic resource, which must be considered when analyzing how the quality of data affects its value for business.

Essay zur Logistik 4. Jan Enterprise Interoperability. The ability to re-configure effectively a global production network to meet the ever changing demands of business product-service requirements is a significant problem for manufacturing industry that raises issues for the dynamic sharing and reuse of information and knowledge between systems and across domains.

The research approach discussed in this paper focuses on the provision of software services to support this need. These services are underpinned by new enterprise modelling methods and a hierarchy of reference semantics that provide the core basis for knowledge sharing across the multiple factors that need to be addressed in effective production network configuration.

Enterprises need high-quality data in order to meet a number of strategic business requirements. Permanent maintenance and sustainable improvement of data quality can be achieved by an enterprise-wide approach only.

The paper presents a Maturity Model for Enterprise Data Quality Management Enterprise DQM , which aims at supporting enterprises in their effort to deliberately design and establish organisation-wide data quality management.

The model design process, which covered a period of five years, included several iterations of multiple design and evaluation cycles and intensive collaboration with practitioners.

The Maturity Model is a hierarchical model comprising, on its most detailed level, 30 practices and 56 measures that can be used as concrete assessment elements during an appraisal.

Besides being used for determining the level of maturity of Enterprise DQM in organisations, the results of the paper contribute to the ongoing discussion in the information systems IS community about maturity model design in general.

A high number of business cases are characterized by an expanded complexity. This is based on increased collaboration between companies, customers and governmental organizations on one hand and more individual products and services on the other hand.

Due to that, companies are planning to address these issues with Big Data solutions. This paper deals with Big Data solutions focusing on Supply Chains, which represents a key discipline for handling the increased collaboration next to vast amounts of exchanged data.

Today, the main focus lays on optimizing Supply Chain Visibility to handle complexity and to support decision making for handling risks and interruptions along supply chains.

Therefore, Big Data concepts and technologies will play a key role. This paper describes the current skituation, actual solutions and presents exemplary use-cases for illustration.

A classification regarding the area of application and potential benefits arising from Big Data Analytics are also given. Furthermore, this paper outlines general technologies to show capabilities of Big Data analytics.

Technik für die wandlungsfähige Logistik - Industrie 4. A Morphology of the Organisation of Data Governance.

Otto Oesterle Consortium Research Business value of in-memory technology-Multiple-case study insights. The purpose of this paper is to assess the business value of in-memory computing IMC technology by analyzing its organizational impact in different application scenarios.

This research applies a multiple-case study methodology analyzing five cases of IMC application scenarios in five large European industrial and service-sector companies.

Results show that IMC can deliver business value in various applications ranging from advanced analytic insights to support of real-time processes.

This enables higher-level organizational advantages like data-driven decision making, superior transparency of operations, and experience with Big Data technology.

The findings are summarized in a business value generation model which captures the business benefits along with preceding enabling changes in the organizational environment.

Results aid managers in identifying different application scenarios where IMC technology may generate value for their organizations from business and IT management perspectives.

The research also sheds light on the socio-technical factors that influence the likelihood of success or failure of IMC initiatives.

This research is among the first to model the business value creation process of in-memory technology based on insights from multiple implemented applications in different industries.

Extending the Electricity Marketplace to Distribution Entities. Over the course of the project, 12 partners from seven European countries work on the foundations for a novel heterarchical management approach of electric power grids based on agent systems and considering current and future designs of electricity market systems.

The present paper describes market specific results from the initial phase of the project and discusses challenges and solution approaches associated with the creation of a new electricity distribution scenario.

The Internet of Things, the continuing globalization of logistics networks, decreas-ing product life cycles and increasing numbers of product variants are examples of current developments that pose, in general, new requirements both on net-worked industries and on data in logistical systems.

Volume, heterogeneity and importance of data for businesses are growing. In order to be able to manage data under these complexity constraints, networked industries need a current, compre-hensive and consistent understanding of the data architecture, i.

As current approaches for data architecture management in particular and data resource management in general fall short in providing support for this endeavor, the paper at hand proposes a morphology of the data resource in networked industries.

The morphology is the result of a taxonomic analysis aiming at providing structure to complex data environments. The paper uses four case studies to identify and describe the dimensions of the morphology and its characteristics.

Furthermore, the paper develops the baseline of a method for guiding the application of the morphology. Stammdatenmanagement ist eine Unternehmensfunktion, die sämtliche Planungs-, Überwachungs- und Bereitstellungsaktivitäten für Stammdaten umfasst und deren Ziel die Sicherung der Stammdatenqualität ist.

Stammdaten von hoher Qualität sind die Voraussetzung, damit Unternehmen verschiedene strategische Anforderungen erfüllen können. Dieser Beitrag beschreibt diejenigen Bereiche, die beim Aufbau eines unternehmensweiten Stammdatenmanagements zu gestalten sind.

Potentiale und Risiken von In-Memory-Technologie: May Wirtschaftsinformatik in Wissenschaft und Praxis: Festschrift für Hubert Österle.

Mar Enterprise -Integration. Voraussetzung dafür ist, die aktuellen Herausforderungen im Datenmanagement zu überwinden.

Der Beitrag identifiziert Lösungsansätze hierfür und bewertet ihr Problemlösungspotenzial. Fallstudien zeigen, wie Unternehmen Konzepte der Datenzentrierung bereits erfolgreich einsetzen.

Richtungsweisende Entwicklungen wandlungsfähiger Technologien für Ladungsträger, Förder- und Lagertechnik, Flurförderzeuge und Software haben die Voraussetzungen für die Gestaltung von Logistiksystemen geschaffen, die mit einer weitgehenden Mechanisierung und Automatisierung dennoch im weiten Umfang an veränderliche Anforderungen anpassbar sind.

Damit ist vorauszusehen, dass auch in der Distribution und bei Dienstleistern in Kürze immer mehr wandlungsfähige Materialflusstechnik zum Einsatz kommen wird.

Business rules can be crucial to an organization's business operations. In view of a growing number of internal and external challenges such as compliance with regulations, the need for organizational agility, or the need to retain organizational knowledge , organizations increasingly are forced to actively manage their business rules in order to stay successful.

However, business rules management BRM is an organizational task that cannot be encountered simply by implementing a software system.

The paper describes the design process toward a functional reference model for business rules management. The model provides three perspectives on tasks and functions to successfully manage business rules.

Practitioners may use the model to establish BRM in their organizations, facilitate communication between business and IT, and evaluate software solutions for BRM.

From a scientific perspective, the model is a design artifact, representing a theory for designing and developing information systems with the objective of managing business rules.

Requirements such as integrated view of the customer or global business process integration make enterprise wide management of master data a prerequisite for achieving business goals.

The master data application architecture, as a part of enterprise master data management, plays a critical role in enterprises.

Choosing the right master data application architecture is a controversial subject in many enterprises. Unfortunately, the current state of the art in research does not provide sufficient guidance for enterprises dealing with this subject.

The paper aims at overcoming this gap in research by presenting a decision model for supporting enterprises in the decision-making process regarding the choice of the right master data application architecture.

Auf dem Weg zum kollaborativen Unternehmen. Beispiele sind schlechte Datenqualität, redundante Datenpflege sowie die Trennung zwischen "strukturierten" und "unstrukturierten" Daten.

Konzeption eines proaktiven Risikomanagements in Logistiknetzwerken. Logistics business networks are growing rapidly and becoming more and more complex.

Companies often do not know of what other companies they depend and which business-critical risks are consequences of these dependencies. For this reason, a concept of a proactive risk management in logistics networks is presented in this article.

The concept is based on the Big Data technology and used for the identification of risks and the development of a logistics network using in addition to internal company data, external data such as social media platforms or other data portals.

These data are analyzed and risky relationships are graphically displayed to the operator. In addition, the system can identify possible alternatives to the user to avoid these risks and thus be used for decision support.

Retaining customers is a relevant topic throughout all service industries. However, only limited attention has been directed towards studying the antecedents of subscription renewal in the context of operational cloud enterprise systems.

Cloud services have historically been offered as subscription-based services with the theoretical possibility of seamless service cancellation, in contrast to classical IT-Outsourcing contracts or license-based software installations of on-premise enterprise systems.

In this work, we investigate the central concept of subscription renewal by focusing on different facets of IS success and their relevance for distinct employee cohorts.

Analyzing inter-cohort differences has strong practical implications, as it helps IT vendors to focus on specific IT-related factors when trying to retain customers.

Therefore an empirical study was undertaken. The hypotheses were developed on an individual level and tested using survey responses of IT decision makers within companies which adopted cloud enterprise systems.

Gathered data was then analyzed using PLS. The results show that subscription renewal intention of the strategic cohort is mainly based on perceived system quality, whereas information quality explains most of the variance of subscription renewal in the management cohort.

Beneath the cloud enterprise systems specific contributions, the work adds to the theoretical body of research related to IS success and IS continuation, as well as stakeholder perspectives.

Toward a business model reference for interoperability services. The importance of interoperability for businesses is undoubted. Furthermore, researchers are studying decentralized and distributed interoperability approaches such as peer-to-peer networks, for example.

However, a comprehensive investigation of business models for such decentralized approaches to interoperability is still missing.

Drawing from recent literature on business modeling on the one hand and interoperability research on the other hand this paper designs a business model reference for interoperability services.

The business model reference assumes interoperability information as an economic good and is applied in two case studies and evaluated from multiple perspectives.

The paper contributes to the scientific body of knowledge as it proposes a novel design artifact which lays the foundation for a number of future research opportunities.

On the Evolution of Data Governance in Firms: Data Governance defines decision-making rights for company-wide use of data.

While first results can be found in literature addressing Data Governance arrangements, no studies have been published so far investigating the evolution of Data Governance over time.

Drawing on theory about organizational capabilities, the chapter assumes that Data Governance can be considered a dynamic capability and that the concept of capability lifecycles can be applied.

The findings suggest that Data Governance can in fact be seen as a dynamic capability and that its effectiveness evolves according to a lifecycle curve.

Furthermore, the chapter discusses a maturity model which can be used as an instrument to manage and monitor this evolution.

Management of the Master Data Lifecycle: A Framework for Analysis. Purpose - The purpose of the paper is to propose a reference model describing a holistic view of the master data lifecycle, including strategic, tactical and operational aspects.

The paper uses a participative case study to evaluate the suggested model. Findings - Based on a participative case study, the paper shows how the reference model allows to analyze the master data lifecycle on a strategic, a tactical and an operational level, and how it helps identify areas of improvement.

The reference model is grounded in existing literature and represents a comprehensive framework forming the foundation for future analysis of the master data lifecycle.

Hence, it forms a "theory for designing" More research is needed in order to more thoroughly evaluate the presented model in a variety of real-life settings.

Practical implications - The paper shows how the reference model enables practitioners to analyze the master data lifecycle and how it helps identify areas of improvement.

Controlling Customer Master Data Quality: Findings from a Case Study. Data quality management plays a critical role in all kinds of organizations.

Data is one of the most important criteria for strategic business decisions within organizations and the foundation for the execution of business processes.

This can be achieved by implementing a comprehensive controlling system for data quality. The implementation of such a system has been realized in only a few organizations.

This paper presents a single case study describing the implementation of a comprehensive data quality controlling system.

The study focuses on controlling activities defined in the fields of business management. Feb 11th International Conference on Wirtschaftsinformatik The management of master data MDM plays an important role for companies in responding to a number of business drivers such as regulatory compliance and efficient reporting.

While managing master data is an organizational task that cannot be encountered by simply implementing a software system, business processes are necessary to meet the challenges efficiently.

This paper describes the design process of a reference process model for MDM. Practitioners may use the reference model as an instrument for the analysis and design of MDM processes.

From a scientific perspective, the reference model is a design artifact that represents an abstraction of processes in the field of MDM.

Business Models in the Data Economy: Feb 11th International Conference on Wirtschaftsinformatik. Data management seems to experience a renaissance today.

One particular trend in the so-called data economy has been the emergence of business models based on the provision of high-quality data.

In this context, the paper examines business models of business partner data providers. The paper explores as to how and why these business models differ.

Based on a study of six cases, the paper identifies three different business model patterns. A resource-based view is taken to explore the details of these patterns.

Furthermore, the paper develops a set of propositions that help understand why the different business models evolved and how they may develop in the future.

Turning information and data quality into sustainable business value. Data and information1 of high quality is not just a hygiene factor for business, but has turned into an asset for competitive advantage.

In line with this, data must be carefully managed, thoughtfully governed, strategically used, and sensibly controlled. Excellent organizations recognize the importance of timely, accurate, and reliable data and accordingly treat data as an asset the same way they treat all other corporate assets such as employees, patents, or manufacturing equipment, for example.

The opposite, however, is also true; enterprises using only ad hoc data management practices find that important information gets locked in silos, reports are untrustworthy or practically useless, and vital processes depending on data often run incorrectly.

To support enterprises in their efforts, the Framework for Corporate Data Quality Management CDQM describes structures and activities that need to be built up and implemented for efficient and effective management of enterprise-wide data.

The Framework focuses on raising awareness of the topic and on giving guidance for establishing CDQM in organizations.

What the Framework does not do, however, is providing guidelines or recommendations as to how corporate data quality management is supposed to be implemented from a technical point of view.

This white paper can be used in several ways: Researcher-Practitioner Collaboration and Knowledge Transfer: Results from an Online Survey.

Researcher-practitioner collaboration has been receiving much attention in the de-bate about relevant Information Systems IS research.

Successful collaboration be-tween researchers and practitioners requires the transfer of knowledge, both from research to practice and vice-versa.

The working report presents the results of an online survey on researcher-practitioner collaboration among design science researchers. It does not aim at inter-preting the results, but rather forms as their documentation.

The results can then be taken up in further research activities. Design Science Research DSR advances the scientific knowledge base while at the same time leading to research results of practical utility.

Several guidelines for DSR have been proposed to support researchers in their work. Collaborative forms of DSR require that knowledge be created across the boundaries of the research community and the practitioners community.

Only little research, though, has been undertaken so far investigating the topic of knowledge creation in collaborative DSR settings. Answers to fundamental questions are still missing: What knowledge creation processes are used?

What problems may occur during researcher-practitioner collaboration? This paper addresses the gap in literature by taking a knowledge creation perspective on DSR.

Based on a literature review and findings from the field it proposes a set of principles for knowledge creation in collaborative DSR. A characteristics framework for Semantic Information Systems Standards.

Semantic Information Systems IS Standards play a critical role in the development of the networked economy.

Terminological confusion exists around the notions of business semantics, business-to-business interoperability, and interoperability standards amongst others.

And, moreover, a comprehensive understanding about the characteristics of Semantic IS Standards is missing. The paper addresses this gap in literature by developing a characteristics framework for Semantic IS Standards.

Two case studies are used to check the applicability of the framework in a real-life context. The framework lays the foundation for future research in an important field of the IS discipline and supports practitioners in their efforts to analyze, compare, and evaluate Semantic IS Standards.

Integrating a data quality perspective into business process management. Purpose — The purpose of this paper is to conceptualize data quality DQ in the context of business process management and to propose a DQ oriented approach for business process modeling.

The approach is based on key concepts and metrics from the data quality management domain and supports decision-making in process re-design projects on the basis of process models.

To do so, method engineering is used as a design technique. The artifact is theoretically founded and incorporates DQ considerations into process re-design.

Furthermore, the paper uses a case study to evaluate the suggested approach. Findings — The paper shows that the DQ oriented process modeling approach facilitates and improves managerial decision-making in the context of process re-design.

Data quality is considered as a success factor for business processes and is conceptualized using a rule-based approach.

More research is needed to triangulate the findings and to allow generalizability of the results. Practical implications — The paper supports decision-makers in enterprises in taking a DQ perspective in business process re-design initiatives.

The paper represents one of the first contributions to literature regarding a contemporary phenomenon of high practical and scientific relevance.

Conceptualizing Data in Multinational Enterprises: Model Design and Application. Collaboration and coordination within multinational enterprises need unambiguous semantics of data across business units, legal contexts, cultures etc.

Therefore data management has to provide enterprise-wide data ownership, an unambiguous distinction between "global" and "local" data, business-driven data quality specifications, and data consistency across multiple applications.

Data architecture design aims at addressing these challenges. Particularly multinational enterprises, however, encounter difficulties in identifying, describing and designing the complex set of data architectural dimensions.

The paper responds to the research question of what concepts need to be involved to support comprehensive data architecture design in multinational enterprises.

It develops a conceptual model, which covers all requirements for defining, governing, using, and storing data.

The conceptual model is applied in a case study conducted at a multinational corporation. Well-grounded in the existing body of knowledge, the paper contributes by identifying, describing, and aggregating a set of concepts enabling multinational enterprises to meet business requirements.

Toward a functional reference model for master data quality management. The quality of master data has become an issue of increasing prominence in companies.

One reason for that is the growing number of regulatory and legal provisions companies need to comply with.

Another reason is the growing importance of information systems supporting decision-making, requiring master data that is up-to-date, accurate and complete.

While improving and maintaining master data quality is an organizational task that cannot be encountered by simply implementing a suitable software system, system support is mandatory in order to be able to meet challenges efficiently and make for good results.

This paper describes the design process toward a functional reference model for master data quality management MDQM. Moreover, the reference model facilitates evaluation of software systems and supports company-internal and external communication.

From a scientific perspective, the reference model is a design artifact; hence it represents a theory for designing information systems in the area of MDQM.

KeywordsData quality management—Master data management—Design science research—Reference model.

How to design the master data architecture: Findings from a case study at Bosch. As a prerequisite for meeting strategic business requirements, such as compliance with regulations, business integration, or integrated customer management, MDM comprises numerous activities.

One of the central activities is designing and maintaining the master data architecture.

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