@article{107, abstract = {{Consumer ratings play a decisive role in purchases by online shoppers. Although the effect of the average and the number of consumer ratings on future product pricing and demand have been studied with some conclusive results, the effects of the variance of these ratings are less well understood. We develop a model which considers durable goods that are characterized by three types of attributes: search attributes, experience attributes, and transformed attributes the latter are conventional experience attributes that are transformed by consumer ratings into attributes that can be searched. Using informed search attributes to refer to the combination of search attributes and transformed attributes, we consider two sources of variance of consumer ratings: taste differences about informed search attributes and quality differences in the form of product failure representing experience attributes. We find that (i) optimal price increases and demand decreases in variance caused by informed search attributes, (ii) optimal price and demand decrease in variance caused by experience attributes, and (iii) by holding the average rating as well as the total variance constant, for products with low total variance price and demand increase in the relative share of variance caused by informed search attributes. Counter to intuition, we demonstrate that risk averse consumers may prefer a higher priced product with a higher variance in ratings when deciding between two similar products with the same average rating. Finally, our model provides a theoretical explanation for the empirically observed j-shaped distribution of consumer ratings in e-commerce that differs from established explanations.}}, author = {{Zimmermann , Steffen and Herrmann, Philipp and Kundisch, Dennis and Nault, Barry}}, journal = {{Information Systems Research}}, number = {{4}}, pages = {{984--1002}}, publisher = {{INFORMS}}, title = {{{Decomposing the Variance of Consumer Ratings and the Impact on Price and Demand}}}, doi = {{10.1287/isre.2017.0764}}, volume = {{29}}, year = {{2018}}, } @article{10788, author = {{Trier, Matthias}}, issn = {{2198-2775}}, journal = {{HMD Praxis der Wirtschaftsinformatik}}, number = {{4}}, pages = {{714--724}}, publisher = {{Springer}}, title = {{{Wissensarbeit mit Social Media Plattformen – Unsicherheitsfaktoren als Managementansatz}}}, doi = {{0.1365/s40702-018-0427-5}}, volume = {{55}}, year = {{2018}}, } @inproceedings{1171, author = {{Müller, Michelle and Gutt, Dominik and Neumann, Jürgen}}, booktitle = {{Multikonferenz Wirtschaftsinformatik (MKWI) 2018}}, location = {{Lüneburg}}, title = {{{Beschreib mir deine Wohnung und ich sag dir wer du bist - Eine explorative Analyse von Gastgeberpersönlichkeiten auf Airbnb}}}, year = {{2018}}, } @inbook{14856, author = {{Hallmann, Corinna and Burmeister, Sascha Christian and Wissing, Michaela and Suhl, Leena}}, booktitle = {{Communications in Computer and Information Science}}, isbn = {{9783319962702}}, issn = {{1865-0929}}, title = {{{Heuristics and Simulation for Water Tank Optimization}}}, doi = {{10.1007/978-3-319-96271-9_5}}, year = {{2018}}, } @inbook{14861, author = {{Hallmann, Corinna and Kuhlemann, Stefan}}, booktitle = {{Operations Research Proceedings}}, isbn = {{9783319899190}}, issn = {{0721-5924}}, title = {{{Model Generator for Water Distribution Systems}}}, doi = {{10.1007/978-3-319-89920-6_34}}, year = {{2018}}, } @inproceedings{13201, author = {{Trier, Matthias and Jensen, Christopher}}, booktitle = {{The 26th European Conference on Information Systems (ECIS)}}, location = {{Portsmouth}}, title = {{{SOCIAL MEDIA MANAGEMENT METRICS FOR BUSINESS ANALYTICS–INVESTIGATING MANAGERIAL CHALLENGES}}}, year = {{2018}}, } @inproceedings{13305, author = {{Trier, Matthias and Jensen, Christoffer}}, title = {{{SOCIAL MEDIA MANAGEMENT METRICS FOR BUSINESS ANALYTICS-INVESTIGATING MANAGERIAL CHALLENGES}}}, year = {{2018}}, } @inproceedings{5815, author = {{Bohn, Nicolai and Kundisch, Dennis}}, location = {{Phoenix, Arizona, USA}}, title = {{{An Extended Perspective of Technology Pivots in Software Startups: Towards a Theoretical Model}}}, year = {{2018}}, } @article{17094, abstract = {{In reaction to the productivity challenges that hospitals around the world have faced, some hospitals have begun to move towards a process-oriented organization of care in order to enhance productivity. Existing research on process-oriented organization emphasizes severe challenges along the implementation process. However, the literature contains only a small number of documented cases of hospital-wide process-oriented reorganization. Against this background, in this case study, we explain how hospitals can successfully implement organization-wide process orientation. To do so, we conducted an exploratory single case study with semi-structured, face-to-face interviews and document analyses as our primary data-collection methods. We developed a theoretical framework of antecedents, interventions, enablers, barriers, and consequences that explain the trajectory of this successful hospital-reorganization project. We contribute a substantive theory on which other researchers can build and can extend in future studies. Further, in analyzing our unique case, we identify factors that the extant literature has not yet discussed, such as the blackboxing of diagnosis and treatment activities as an enabler. In line with existing literature, we also found that, even in this case, inflexible healthcare IT represented a barrier that hindered the case study in implementing process orientation.}}, author = {{Suomi, Reima and Müller, Oliver and vom Brocke, Jan}}, issn = {{1532-3416}}, journal = {{Journal of Information Technology Theory and Application}}, number = {{4}}, pages = {{3}}, title = {{{Hospital-wide Process-oriented Organization of Care: The Case of Turku University Central Hospital}}}, volume = {{19}}, year = {{2018}}, } @inproceedings{17099, abstract = {{Data-driven decision making (DDD) refers to organizational decision-making practices that emphasize the use of data and statistical analysis instead of relying on human judgment only. Various empirical studies provide evidence for the value of DDD, both on individual decision maker level and the organizational level. Yet, the path from data to value is not always an easy one and various organizational and psychological factors mediate and moderate the translation of data-driven insights into better decisions and, subsequently, effective business actions. The current body of academic literature on DDD lacks prescriptive knowledge on how to successfully employ DDD in complex organizational settings. Against this background, this paper reports on an action design research study aimed at designing and implementing IT artifacts for DDD at one of the largest ship engine manufacturers in the world. Our main contribution is a set of design principles highlighting, besides decision quality, the importance of model comprehensibility, domain knowledge, and actionability of results.}}, author = {{Thiess, Tiemo and Müller, Oliver}}, booktitle = {{European Conference on Information Systems}}, title = {{{Towards Design Principles for Data-Driven Decision Making–An Action Design Research Project in the Maritime Industry}}}, year = {{2018}}, } @inproceedings{17098, abstract = {{Augmented Reality (AR) based teaching and learning has evolved rapidly over the past years. Re-searchers have shown that AR has the potential to deliver persuasive learning experiences in for-mal teaching (e.g., in classrooms) and in informal learning environments (e.g., museums). Howev-er, comparatively little extant research is firmly grounded in learning theories and applies rigor-ous empirical methods to evaluate the effect of AR on learning performance. In order to build a cumulative body of knowledge on AR-based instructional design and its effectiveness, it is neces-sary to consolidate both the theoretical foundations of and empirical evidence for using AR for teaching and learning. Against this background we conducted a focused systematic literature re-view on theoretical and empirical foundations of AR in education. We identify theory-based de-sign elements and empirical measures for developing and applying AR teaching and learning ap-plications and consolidate them in a design framework.}}, author = {{Sommerauer, Peter and Müller, Oliver}}, booktitle = {{European Conference on Information Systems}}, title = {{{Augmented reality for teaching and learning - A literature review on theoretical and empirical foundations}}}, year = {{2018}}, } @inproceedings{17097, abstract = {{Emotions spread through online and offline social networks and subsequently influence individuals’ decisions and behaviours. Empirical studies on emotional contagion are almost non-existent in infor-mation systems research, leaving a gap in understanding how individuals are affected by emotions ex-pressed in online sources. Online newspaper articles and the associated readers’ comments provide a rich and mostly unfiltered data source that is utilized in this work to identify emotional contagion effects between newspaper publishers and its readers. By applying lexicon-based sentiment analysis and multi-level linear regression models to 1,151 online newspaper articles and 28,948 associated readers' com-ments, we model the relationships between sentiments in newspaper articles and comments. The results provide empirical support for emotional contagion effects between emotions expressed in online news-paper articles and emotions expressed in readers' comments. Linguistic, psychological and methodo-logical limitations are considered and discussed.}}, author = {{Bösch, Kevin and Müller, Oliver and Schneider, Johannes}}, booktitle = {{European Conference on Information Systems}}, title = {{{Emotional contagion through online newspapers}}}, year = {{2018}}, } @article{4516, abstract = {{Although many methods have been proposed for engineering service systems and customer solutions, most of these approaches give little consideration to recombinant service innovation. Recombinant innovation refers to reusing and integrating resources that were previously unconnected. In an age of networked products and data, we can expect that many service innovations will be based on adding, dissociating, and associating existing value propositions by accessing internal and external resources instead of designing them from scratch. The purpose of this paper is to identify if current service engineering approaches account for the mechanisms of recombinant innovation and to design a method for recombinant service systems engineering. In a conceptual analysis of 24 service engineering methods, the study identified that most methods (1) focus on designing value propositions instead of service systems, (2) view service independent of physical goods, (3) are either linear or iterative instead of agile, and (4) do not sufficiently address the mechanisms of recombinant innovation. The paper discusses how these deficiencies can be remedied and designs a revised service systems engineering approach that reorganizes service engineering processes according to four design principles. The method is demonstrated with the recombinant design of a service system for predictive maintenance of agricultural machines.}}, author = {{Beverungen, Daniel and Lüttenberg, Hedda and Wolf, Verena}}, issn = {{2363-7005}}, journal = {{Business & Information Systems Engineering}}, keywords = {{Service engineering, Recombinant innovation, (Product-)service system, Design science research, New service development}}, number = {{5}}, pages = {{377--391}}, publisher = {{SpringerNature}}, title = {{{Recombinant Service Systems Engineering}}}, doi = {{10.1007/s12599-018-0526-4}}, volume = {{60}}, year = {{2018}}, } @article{54008, author = {{Ebrahimi, Bohlool and Tavana, Madjid and Rahmani, Morteza and Santos-Arteaga, Francisco J.}}, issn = {{0941-0643}}, journal = {{Neural Computing and Applications}}, number = {{6}}, pages = {{1971--1982}}, publisher = {{Springer Science and Business Media LLC}}, title = {{{Efficiency measurement in data envelopment analysis in the presence of ordinal and interval data}}}, doi = {{10.1007/s00521-016-2826-2}}, volume = {{30}}, year = {{2018}}, } @article{54007, author = {{Banakar, Zahra and Tavana, Madjid and Huff, Brian and Di Caprio, Debora}}, issn = {{0265-2323}}, journal = {{International Journal of Bank Marketing}}, number = {{4}}, pages = {{634--662}}, publisher = {{Emerald}}, title = {{{A bank merger predictive model using the Smoluchowski stochastic coagulation equation and reverse engineering}}}, doi = {{10.1108/ijbm-05-2017-0106}}, volume = {{36}}, year = {{2018}}, } @article{54009, author = {{Razavi Hajiagha, Seyed Hossein and Amoozad Mahdiraji, Hannan and Tavana, Madjid and Hashemi, Shide Sadat}}, issn = {{0263-2241}}, journal = {{Measurement}}, pages = {{569--581}}, publisher = {{Elsevier BV}}, title = {{{A novel common set of weights method for multi-period efficiency measurement using mean-variance criteria}}}, doi = {{10.1016/j.measurement.2018.07.061}}, volume = {{129}}, year = {{2018}}, } @article{54012, author = {{Mobin, Mohammadsadegh and Mousavi, Seyed Mohsen and Komaki, Mohammad and Tavana, Madjid}}, issn = {{0263-2241}}, journal = {{Measurement}}, pages = {{417--427}}, publisher = {{Elsevier BV}}, title = {{{A hybrid desirability function approach for tuning parameters in evolutionary optimization algorithms}}}, doi = {{10.1016/j.measurement.2017.10.009}}, volume = {{114}}, year = {{2018}}, } @article{54010, author = {{Shiraz, Rashed Khanjani and Tavana, Madjid and Di Caprio, Debora}}, issn = {{0399-0559}}, journal = {{RAIRO - Operations Research}}, number = {{1}}, pages = {{259--284}}, publisher = {{EDP Sciences}}, title = {{{Chance-constrained data envelopment analysis modeling with random-rough data}}}, doi = {{10.1051/ro/2016076}}, volume = {{52}}, year = {{2018}}, } @article{54011, author = {{Chión, Sergio J. and Charles, V. and Tavana, Madjid}}, issn = {{0263-2241}}, journal = {{Measurement}}, pages = {{182--195}}, publisher = {{Elsevier BV}}, title = {{{Impact of incentive schemes and personality-tradeoffs on two-agent coopetition with numerical estimations}}}, doi = {{10.1016/j.measurement.2018.03.075}}, volume = {{125}}, year = {{2018}}, } @article{54001, author = {{Tavana, Madjid and Zareinejad, Mohsen and Santos-Arteaga, Francisco J.}}, issn = {{2330-2674}}, journal = {{International Journal of Systems Science: Operations & Logistics}}, number = {{2}}, pages = {{175--194}}, publisher = {{Informa UK Limited}}, title = {{{An intuitionistic fuzzy-grey superiority and inferiority ranking method for third-party reverse logistics provider selection}}}, doi = {{10.1080/23302674.2016.1256448}}, volume = {{5}}, year = {{2018}}, }