Alle Publikationen
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2008
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(2008): SOMA. A method for developing service-oriented solutions. In: IBM Systems Journal 47 (3), S. 377-396. DOI: 10.1147/sj.473.0377
Abstract: Service-oriented modeling and architecture (SOMA) has been used to conduct projects of varying scope in multiple industries worldwide for the past five years. We report on the usage and structure of the method used to effectively analyze, design, implement, and deploy service-oriented architecture (SOA) projects as part of a fractal model of software development. We also assert that the construct of a service and service modeling, although introduced by SOA, is a software engineering best practice for which an SOA method aids both SOA usage and adoption. in this paper we present the latest updates to this method and share some of the lessons learned. The SOMA method incorporates the key aspects of overall SOA solution design and delivery and is integrated with existing software development methods through a set of placeholders for key activity areas, forming what we call solution templates. We also present a fractal model of software development that can enable the SOMA method to evolve in an approach that goes beyond the iterative and incremental and instead leverages method components and patterns in a recursive, self-similar manner opportunistically at points of variability in the life cycle.
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(2008): SERVICE-ORIENTED COMPUTING. A RESEARCH ROADMAP. In: International Journal of Cooperative Information Systems 17 (02), S. 223-255. DOI: 10.1142/S0218843008001816
Abstract: Service-Oriented Computing (SOC) is a new computing paradigm that utilizes services as the basic constructs to support the development of rapid, low-cost and easy composition of distributed applications even in heterogeneous environments. The promise of Service-Oriented Computing is a world of cooperating services where application components are assembled with little effort into a network of services that can be loosely coupled to create flexible dynamic business processes and agile applications that may span organizations and computing platforms. The subject of Service-Oriented Computing is vast and enormously complex, spanning many concepts and technologies that find their origins in diverse disciplines that are woven together in an intricate manner. In addition, there is a need to merge technology with an understanding of business processes and organizational structures, a combination of recognizing an enterprise's pain points and the potential solutions that can be applied to correct them. The material in research spans an immense and diverse spectrum of literature, in origin and in character. As a result research activities are very fragmented. This necessitates that a broader vision and perspective be established - one that permeates and transforms the fundamental requirements of complex applications that require the use of the Service-Oriented Computing paradigm. This paper provides a Service Oriented Computing Roadmap and places on-going research activities and projects in the broader context of this roadmap. This research roadmap launches four pivotal, inherently related, research themes to Service-Oriented Computing: service foundations, service composition, service management and monitoring and service-oriented engineering.
Keywords: Angepasstheit der Maschine an Nutzerbedürfnisse, Disziplin, Informations- & Kommunikationstechnik, Informationssysteme, Interaktionspartner, Landkarte, manners, Mensch oder Maschine, Mensch-Technik-Relationen (MTR), Realtechnik, service-oriented computing, Technik, Überblick, Wirtschaftsinformatik -
(2008): Internet Users' Information Privacy-Protective Responses. A Taxonomy and a Nomological Model. In: MIS Quarterly 32 (3), S. 503-529. DOI: 10.2307/25148854
Abstract: Although Internet users are expected to respond in various ways to privacy threats from online companies, little attention has been paid so far to the complex nature of how users respond to these threats. This paper has two specific goals in its effort to fill this gap in the literature. The first, so that these outcomes can be systematically investigated, is to develop a taxonomy of information privacy-protective responses (IPPR). This taxonomy consists of six types of behavioral responses-refusal, misrepresentation, removal, negative word-of-mouth, complaining directly to online companies, and complaining indirectly to third-party organizations-that are classified into three categories: information provision, private action, and public action. Our second goal is to develop a nomological model with several salient antecedents-concerns for information privacy, perceived justice, and societal benefits from complaining-of IPPR, and to show how the antecedents differentially affect the six types of IPPR. The nomological model is tested with data collected from 523 Internet users. The results indicate that some discernible patterns emerge in the relationships between the antecedents and the three groups of IPPR. These patterns enable researchers to better understand why a certain type of IPPR is similar to or distinct from other types of IPPR Such an understanding could enable researchers to analyze a variety of behavioral responses to information privacy threats in a fairly systematic manner. Overall, this paper contributes to researchers' theory-building efforts in the area of information privacy by breaking new ground for the study of individuals' responses to information privacy threats.
Keywords: Datenschutz, Datenschutz & Privatssphäre, digitale Ökonomie, Disziplin, Ethik, Im (wissenschaftlichen) Diskurs, manners, Mensch-Technik-Relationen (MTR), Öffentlicher vs. privater Raum, Online, Philosophie, Privacy and data, Privatsphäre, Reflexionen über MTR, social media, Soziale Angemessenheit, User, Wirtschaftsinformatik 2006
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(2006): The nature of theory in information systems. In: MIS Quarterly 30 (3), S. 611-642
Abstract: The aim of this research essay is to examine the structural nature of theory in Information Systems. Despite the importance of theory, questions relating to its form and structure are neglected in comparison with questions relating to epistemology. The essay addresses issues of causality, explanation, prediction, and generalization that underlie an understanding of theory. A taxonomy is proposed that classifies information systems theories with respect to the manner in which four central goals are addressed: analysis, explanation, prediction, and prescription. Five interrelated types of theory are distinguished: (1) theory for analyzing, (2) theory for explaining, (3) theory for predicting, (4) theory for explaining and predicting, and (5) theory for design and action. Examples illustrate the nature of each theory type. The applicability of the taxonomy is demonstrated by classifying a sample of journal articles. The paper contributes by showing that multiple views of theory exist and by exposing the assumptions underlying different viewpoints. In addition, it is suggested that the type of theory under development can influence the choice of an epistemological approach. Support is given for the legitimacy and value of each theory type. The building of integrated bodies of theory that encompass all theory types is advocated.
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