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- ZeitschriftenartikelCall for Papers: Issue 1/2017(Business & Information Systems Engineering: Vol. 57, No. 4, 2015) Browne, Glenn J.; Cheung, Christy M. K.; Heinzl, Armin; Riedl, René
- ZeitschriftenartikelFactors that Determine the Extent of Business Process Standardization and the Subsequent Effect on Business Performance(Business & Information Systems Engineering: Vol. 57, No. 4, 2015) Romero, Heidi L.; Dijkman, Remco M.; Grefen, Paul W. P. J.; Weele, Arjan J.Business process standardization is the activity of unifying different variants of a family of business processes. While the positive effects of business process standardization are well-described, it is often undesirable to fully unify different variants due to cultural, legal, or operational reasons. Consequently, a decision has to be made about the extent to which a family of business processes should be standardized. However, little is known about the factors that drive that decision. This paper fills that gap, by presenting factors that drive the extent to which business processes can be standardized, performance properties that are influenced by business process standardization, and relations between these concepts.
- Zeitschriftenartikel“Impact Engineering” or Social Responsibility?(Business & Information Systems Engineering: Vol. 57, No. 4, 2015) Frank, Ulrich; Winter, Robert; Mertens, Peter; König, Wolfgang; Scheer, August-Wilhelm; Buhl, Hans Ulrich; Buxmann, Peter; Legner, Christine; Suhl, Leena
- ZeitschriftenartikelInternationalization of Information Systems Research and Teaching(Business & Information Systems Engineering: Vol. 57, No. 4, 2015) Heinzl, Armin; Winter, Robert; Bichler, Martin
- ZeitschriftenartikelInterview with Thomas W. Malone on “Collective Intelligence, Climate Change, and the Future of Work”(Business & Information Systems Engineering: Vol. 57, No. 4, 2015) Gimpel, Henner
- ZeitschriftenartikelResource Planning in Disaster Response(Business & Information Systems Engineering: Vol. 57, No. 4, 2015) Schryen, Guido; Rauchecker, Gerhard; Comes, TinaManaging the response to natural, man-made, and technical disasters is becoming increasingly important in the light of climate change, globalization, urbanization, and growing conflicts. Sudden onset disasters are typically characterized by high stakes, time pressure, and uncertain, conflicting or lacking information. Since the planning and management of response is a complex task, decision makers of aid organizations can thus benefit from decision support methods and tools. A key task is the joint allocation of rescue units and the scheduling of incidents under different conditions of collaboration. The authors present an approach to support decision makers who coordinate response units by (a) suggesting mathematical formulations of decision models, (b) providing heuristic solution procedures, and (c) evaluating the heuristics against both current best practice behavior and optimal solutions. The computational experiments show that, for the generated problem instances, (1) current best practice behavior can be improved substantially by our heuristics, (2) the gap between heuristic and optimal solutions is very narrow for instances without collaboration, and (3) the described heuristics are capable of providing solutions for all generated instances in less than a second on a state-of-the-art PC.
- ZeitschriftenartikelService Robots(Business & Information Systems Engineering: Vol. 57, No. 4, 2015) Sprenger, Michaela; Mettler, Tobias
- ZeitschriftenartikelUsing Twitter to Predict the Stock Market(Business & Information Systems Engineering: Vol. 57, No. 4, 2015) Nofer, Michael; Hinz, OliverBehavioral finance researchers have shown that the stock market can be driven by emotions of market participants. In a number of recent studies mood levels have been extracted from Social Media applications in order to predict stock returns. The paper tries to replicate these findings by measuring the mood states on Twitter. The sample consists of roughly 100 million tweets that were published in Germany between January, 2011 and November, 2013. In a first analysis, a significant relationship between aggregate Twitter mood states and the stock market is not found. However, further analyses also consider mood contagion by integrating the number of Twitter followers into the analysis. The results show that it is necessary to take into account the spread of mood states among Internet users. Based on the results in the training period, a trading strategy for the German stock market is created. The portfolio increases by up to 36 % within a six-month period after the consideration of transaction costs.