Introduction to Advances in Design Research for Information Systems Minitrack

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Introduction to the 1st Game-based Learning Minitrack

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Software Development for Mobile Computing, the Internet of Things and Wearable Devices: Inspecting the Past to Understand the Future

Currently a convergence in software development for mobile computing (including mobile devices and special technology such as wearables) and the Internet of Things (IoT) can be observed. Devices from the fields are becoming part of a joint ecosystem and share the same infrastructure. Moreover, development processes have changed and user requirements have become very heterogeneous. We have been studying this development for a while, also by offering the fitting HICSS minitrack. In this article, we look into the past of software development for mobile devices, in the context of IoT, and for wearables. We analyse joint characteristics and show differences. Then we invite to a discussion that leads to a research outlook. While neither for industry nor for academia the journey is over, the convergence of fields should offer many new possibilities, prevent problems we faced in the past, but also introduce novel challenges

Software Development for Mobile Computing, the Internet of Things and Wearable Devices: Inspecting the Past to Understand the Future

Currently a convergence in software development for mobile computing (including mobile devices and special technology such as wearables) and the Internet of Things (IoT) can be observed. Devices from the fields are becoming part of a joint ecosystem and share the same infrastructure. Moreover, development processes have changed and user requirements have become very heterogeneous. We have been studying this development for a while, also by offering the fitting HICSS minitrack. In this article, we look into the past of software development for mobile devices, in the context of IoT, and for wearables. We analyse joint characteristics and show differences. Then we invite to a discussion that leads to a research outlook. While neither for industry nor for academia the journey is over, the convergence of fields should offer many new possibilities, prevent problems we faced in the past, but also introduce novel challenges.publishedVersio

The Six Pillars of Knowledge Economics

The purpose of this paper is to extend our earlier work on the contributions to the mini-track on Knowledge Economics at the Hawaii International Conference on System Sciences (HICSS). In the present work, we analyze 16 contributions from 2012 to 2016 and based on our analysis, we propose the Six Pillars of Knowledge Economics framework. The proposed framework articulates that six elements are essential to generate knowledge outputs: Innovation Capability, Leadership, Human Capital, Information Technology Resources, Financial Resources, and Innovation Climate. Additional major findings are that organizations are the most common unit of analysis, while the individual level is hardly considered. Journals represent the major source of citations. Conference proceedings were less cited, though more current. We recommend major conferences to be indexed by services like Scopus and provide open access to peer-reviewed proceedings

Big Data and Analytics: Issues and Challenges for the Past and Next Ten Years

In this paper we continue the minitrack series of papers recognizing issues and challenges identified in the field of Big Data and Analytics, from the past and going forward. As this field has evolved, it has begun to encompass other analytical regimes, notably AI/ML systems. In this paper we focus on two areas: continuing main issues for which some progress has been made and new and emerging issues which we believe form the basis for near-term and future research in Big Data and Analytics. The Bottom Line: Big Data and Analytics is healthy, is growing in scope and evolving in capability, and is finding applicability in more problem domains than ever before

Enterprise Content Management - A Literature Review

Managing information and content on an enterprise-wide scale is challenging. Enterprise content management (ECM) can be considered as an integrated approach to information management. While this concept received much attention from practitioners, ECM research is still an emerging field of IS research. Most authors that deal with ECM claim that there is little scholarly literature available. After approximately one decade of ECM research, this paper provides an in-depth review of the body of academic research: the ECM domain, its evolution, and main topics are characterized. An established ECM research framework is adopted, refined, and explained with its associated elements and working definitions. On this basis, 68 articles are reviewed, classified, and concepts are derived. Prior research is synthesized and findings are integrated in a concept-centric way. Further, implications for research and practice, including future trends, are drawn