Information Systems and E-business Management 

About: Information Systems and E-business Management is an academic journal published by Springer Science+Business Media. The journal publishes majorly in the area(s): Computer science & Information system. It has an ISSN identifier of 1617-9846. Over the lifetime, 591 publications have been published receiving 15080 citations.

The service system is the basic abstraction of service science

Abstract: ion is a powerful thing. During the nineteenth century, the Industrial Revolution was built on many powerful abstractions, such as mass, energy, work, and power. During the twentieth century, the information revolution was built on many powerful abstractions, such as binary digit or bit, binary coding, and algorithmic complexity. Here, we propose an abstraction for the twenty-first century, in which there is an emerging revolution in thinking about business and economics based on a service-dominant logic. The worldview of service-dominant logic stands in sharp contrast to the worldview of the goods-dominant logic of the past, as it holds service—the application of competences for benefit of others—rather than goods to be the fundamental basis of economic exchange. Within this new worldview, we suggest the basic abstraction is the service system, a configuration of people, technologies, and other resources that interact with other service systems to create mutual value. Many systems can be viewed as service systems, including families, cities, and companies, among many others. In this paper, we show how the service-system abstraction can be used to understand how value is co-created, in the process laying the foundation for an integrated science of service.

Big data analytics capabilities: a systematic literature review and research agenda

Abstract: With big data growing rapidly in importance over the past few years, academics and practitioners have been considering the means through which they can incorporate the shifts these technologies bring into their competitive strategies. To date, emphasis has been on the technical aspects of big data, with limited attention paid to the organizational changes they entail and how they should be leveraged strategically. As with any novel technology, it is important to understand the mechanisms and processes through which big data can add business value to companies, and to have a clear picture of the different elements and their interdependencies. To this end, the present paper aims to provide a systematic literature review that can help to explain the mechanisms through which big data analytics (BDA) lead to competitive performance gains. The research framework is grounded on past empirical work on IT business value research, and builds on the resource-based view and dynamic capabilities view of the firm. By identifying the main areas of focus for BDA and explaining the mechanisms through which they should be leveraged, this paper attempts to add to literature on how big data should be examined as a source of competitive advantage. To this end, we identify gaps in the extant literature and propose six future research themes.

The impact of website quality on customer satisfaction and purchase intention: perceived playfulness and perceived flow as mediators

Abstract: The purposes of this study are to examine whether perceived playfulness and perceived flow would mediate the relationships among website quality, customer satisfaction, and purchase intention, as well as to assess the degree of reciprocity between perceived playfulness and perceived flow in an online travel agency context. This study suggested a research framework for testing the relationships among the constructs based on the stimulus-organism-response framework. In addition, this study developed a non-recursive model. After validating the measurement scales, empirical analyses were conducted using structural equation modelling. The findings confirm that website quality affects customers' perceived playfulness and perceived flow, and in turn, would influence their satisfaction and purchase intention. Notably, this study finds that the service quality is more important than information and system quality in influencing customer satisfaction and purchase intention. Furthermore, the study reveals that the relationship between perceived playfulness and perceived flow is reciprocal. Based on the findings, the implications are discussed in the paper and directions for future research are also highlighted.

Service selection algorithms for Web services with end-to-end QoS constraints

Abstract: Web services are new forms of Internet software that can be universally deployed and invoked using standard protocols. Services from different providers can be integrated into a composite service regardless of their locations, platforms, and/or execution speeds to implement complex business processes and transactions. In this paper, we study the end-to-end QoS issues of composite services by utilizing a QoS broker that is responsible for selecting and coordinating the individual service component. We design the service selection algorithms used by QoS brokers to construct the optimal composite service. The objective of the algorithms is to maximize the user-defined utility function value while meeting the end-to-end delay constraint. We propose two solution approaches to the service selection problem: the combinatorial approach, by modeling the problem as the Multiple Choice Knapsack Problem (MCKP), and the graph approach, by modeling the problem as the constrained shortest path problem in the graph theory. We study efficient solutions for each approach.

Classification of reference models: a methodology and its application

Abstract: Classification is an important tool for perception and can be found in numerous scientific disciplines. Several application areas of classification are described in the context of information modeling. The usefulness of classification for reuse resp. selection of reference models is emphasized. A methodology to systematically create classification systems will be introduced. Furthermore, a classification system for reference models will be developed with the aid of the proposed methodology. This classification system gives a comprehensive, but abstract survey of 26 reference models found in the literature.