Track 04: Business Analytics and Knowledge Management

Transcription

1 Track 04: Business Analytics and Knowledge Management Track Title Business Analytics and Knowledge Management Track chairs Markus Bick ESCP Europe Wirtschaftshochschule Berlin (primary contact person), Barbara Dinter Chemnitz University of Technology, Christian Janiesch Julius-Maximilians-Universität Würzburg, Aleš Popovič University of Ljubljana, Stefan Smolnik University of Hagen, Track description Theme Many research contributions have emphasized the importance of taking care of (big) data, information and knowledge assets for efficient and effective decision support, management, or leadership. Consequently, business analytics (BA) & knowledge management (KM) are essential for organizations daily business, directly influencing competitive advantage and business development in a networked society or culture. In addition to a kind of traditional organizational focus, BA & KM are more and more happening in social environments (networks). Thus, BA and KM increasingly develop the networked society by providing technologies and methods that allow for gathering, preparing, and analyzing data generated in social environments. Improved communication, optimized networks, and new business models are examples for the innovative usage of these new and various data sources (such as mobile data, sensor data, web data, social media data, and network data). This changes the way of interaction in society and the way corresponding information and communication technology (ICT) is used on the individual s level, in or across teams as well as the organizational level and beyond. Extant BA research explores primarily organizational and technological advances to improve business performance in a continuous and iterative way. It includes exploratory data analysis techniques to develop new insights as well as descriptive data analysis techniques often also termed business intelligence which cover ETL, OLAP as well as related technologies to provide historical, current, and predictive views of the business. However, limited attention has been paid to individuals perspective focusing on personal objectives and characteristics as enabling or preventing factors to BA utilization. Big data as a new hot topic and an enabler for innovative applications for analytics addresses many challenges which come along with increasing variety, volume, and velocity of data. Extending existing analytics beyond the organizations borders bares large potential for research and practice. New phenomena emerge same way as new business models do. Furthermore, the availability of practically infinite computing and storage capacity through cloud computing enables new opportunities in servitizing our networked society. There is some agreement today that knowledge in organizations is an abstract concept that is represented in manifestations such as people and knowledge networks, organizational procedures as well as digital artifacts. As organizations or knowledge workers are more and more distributed, the need for efficient management of knowledge-intensive processes 20

2 becomes still higher leading to changing practices in organizations or communities. Particularly, collaboration takes place in different forms of communities (social environments) within and across organizations. Several types of IS and social software have appeared to facilitate such collaboration by providing adequate virtual rooms, bridging time and space, etc. Basically, due to the usage of social software, organizational boundaries become more blurred and knowledge could be diffused much easier. But openness and interorganizational collaboration demand new mental models and corresponding organizational change. Organizations in particular are challenged how to best prevent knowledge loss during knowledge sharing activities. Even though, collaborative KM systems like social software support the traceability of rich and contextualized knowledge sharing activities among networked persons within and beyond organizational boundaries, it is not yet deemed ready to cover the various needs in the intra- and inter-organizational KM. Eventually, in an increasingly networked society, organizations are required to exploit relationships with other organizations and to gain benefits out of such relationships. The BA & KM track aims to promote multi-disciplinary contributions dealing with a managerial, an economic, a methodological, a cultural, or a technical perspective on BA and KM. Submissions based on theoretical research, design research, action research, or behavioral research are encouraged. We welcome both full research papers and research in progress papers. Types of Contributions Business analytics Strategic management issues of BA (strategy, governance, maturity models, business value) Adoption, implementation, routinization, and use of BA (organizational issues, proven practices, critical resources) BA success (IS theories for BA success, existing management practices) Organizational issues in BA implementation & success (readiness, culture, and strategy) Real time data warehousing and operational BI, event-driven BA, BAM BA s new frontiers (social BA and social media analytics, BA in the cloud, Analytics as a service (AaaS)) Applications of BA (e.g., customer relationship management, business performance management, business intelligence) Big data Big data driven business model innovation and applications by innovative use of big data Big data analytics, such as data mining, text mining, web mining, and mobile analytics Analytics in the network society Architectures that enable the organization to integrate external data in their analysis Technical and organizational approaches that enable the handling of big data Knowledge management Capturing and sharing knowledge in social networks and distributed contexts Cross-border and cross-cultural KM Inter- and Intra-organizational KM and KM systems KM and smart cities KM in the cloud 21

3 Support for mature KM solutions: KM governance, KM strategies, KM maturity models, KM success factors, and KM performance Social and behavioral issues in KM Mobile technologies and social software usage in KM KM and learning Knowledge privacy, security, protection and risk management Associate Editors Sule Balkan, National Chiao Tung University, Taiwan Geneviève Bassellier, McGill University, Canada Ulrike Baumöl, University of Hagen, Germany Elsa Cardoso, ISCTE - Instituto Universitário de Lisboa, Spain Yu-Wei Chuang, Providence University, Taiwan Tingting Rachel Chung, Chatham University, United States Katharina Ebner, University of Hagen, Germany Hansjörg Fromm, Karlsruhe Institute for Technology, Germany Adir Even, Ben-Gurion University of the Negev, Israel Michael Goul, Arizona State University, United Stated Bapita Gupta, California State University Monterey Bay, United States Jurij Jaklic, University of Ljubljana, Slowenia Murray E. Jennex, San Diego State University, United States Ralf Knackstedt, University of Hildesheim, Germany Marek Kowalkiewicz, SAP America Inc, United States Maurice Kügler, EBS Business School, Germany Tyge-F. Kummer, Griffith University, Australia Franz Lehner, Universität Passau, Germany Henry Linger, Monash, Melbourne, Australia Olivera Marjanovic, The University of Sydney, Australia Malte Martensen, Accenture ASG, Germany Martin Matzner, ERCIS, Münster, Germany Oliver Müller, University of Liechtenstein, Liechtenstein Gregory Richards, University of Ottawa, Canada Saonee Sarker, University of Virginia, United States Eric Schoop, TU Dresden, Germany Dick Stenmark, University of Gothenburg, Sweden Stefan Thalmann, University of Innsbruck, Austria Marcos Paulo Valadares de Oliveira, Universidade Federal do Espírito Santo, Brasil 22

4 Short Bios of each co-track chair Markus Bick is Professor and Chair of Business Information Systems at ESCP Europe Business School, Campus Berlin. He earned his doctorate in Business Information Systems from the University of Duisburg-Essen, Germany. His current research interests include global knowledge management, ambient and mobile knowledge and learning environments, convergence of e-learning and knowledge management as well as IT Governance. Markus Bick is co-author of a German textbook on data and information management. He published his research work in renowned international journals like Information Systems Management or Electronic Markets or Business & Information Systems Engineering as well as peer-reviewed conferences such as ECIS, WI, or HICSS. Barbara Dinter is Professor and Chair of Business Information Systems at Chemnitz University of Technology, Germany. She holds a Ph.D. from the Technische Universität München, Germany, where she previously earned a master's degree in computer science. Barbara Dinter worked for several years at University of St.Gallen, Switzerland as a Post-Doc and project manager. In her role as an IT consultant, she worked with a variety of organizations. Her research interests include business intelligence and analytics, big data, data driven innovation, and information management. She has published in renowned journals such as Decision Support Systems, Journal of Database Management, and Journal of Decision Systems, and on conferences such as ICIS, ECIS, and HICSS. Christian Janiesch is assistant professor for business information systems and information management at the Julius-Maximilians- Universität Würzburg. Prior, he has been researching as a research associate at the European Research Center for Information System (ERCIS) at the Westfälische Wilhelms-Universität in Münster, Germany, as a senior researcher at SAP Research Center Brisbane, Australia as well as a senior research associate at the Institute of Applied Informatics and Formal Description Methods (AIFB) of the Karlsruhe Institute of Technology (KIT), Germany. Christian completed his bachelor s and master s degree in Information Systems (BScIS/ MScIS) at the University of Münster and the Queensland University of Technology (QUT) in Brisbane, Australia. Christian also holds a PhD from the University of Münster. Christian s research focusses at the intersection of business process management and business intelligence with a current focus on realtime, event-driven applications. Other areas of expertise include conceptual modeling, complex event processing, meta modeling, and method engineering. He has served as a track chair at ACIS 2010, ECIS 2012 to 2014, and the BPM workshop series on Event-Driven BPM as well as BPM in the Cloud. His work has appeared in Communications of the AIS, Business Process Management Journal, 23

5 Business & Information Systems Engineering as well as various major international conferences including ICIS, ECIS, HICSS, and BPM and has been registered as U.S. patents. Aleš Popovič is an assistant professor in the Academic Unit for Business Informatics and Logistics at the Faculty of Economics University of Ljubljana and a visiting professor at ISEGI - Universidade NOVA de Lisboa. He received his Ph.D. in Information Management at University of Ljubljana. He also holds an M.Sc.in Information Management and a BS in Business from Faculty of Economics Ljubljana University. Aleš has experience as consultant in business intelligence implementation projects and business process change projects. His research interests include understanding IS value, success, and related business process change, both within and between organizations. Aleš s works appear in a variety of academic journals, such as Decision Support Systems, International Journal of Information Management, Information Systems Management, Industrial Management & Data Systems, Business & Information Systems Engineering, and Information Research among others. Stefan Smolnik is Professor and Chair of Business Information Systems at University of Hagen, Germany. Before joining University of Hagen, he was an assistant professor at EBS Business School, Germany. Stefan Smolnik holds a doctoral degree from University of Paderborn, Germany. He has done research on the success and performance measurement of information and knowledge management systems, which has included several benchmarking studies. In addition, he is interested in the successful organizational implementation of social software. Stefan Smolnik s work has been published in well-reputed international journals and conference proceedings such as Journal of Strategic Information Systems, Business & Information Systems Engineering, International Journal of Knowledge Management, Business Process Management Journal, and the proceedings of ICIS, ECIS, and HICSS. 24