@inproceedings{45, abstract = {{The importance of online ratings on sales is widely acknowledged. Firms need to find ways of increasing the number of ratings and rating scores, but how they can achieve this effectively is less well established. In this paper we analyze the impact of an unconditional gift on customers’ rating behavior in an online field experiment. Contrary to prevalent advice, our results suggest that providing a gift is not necessarily beneficial. Younger customers are significantly less likely to rate when exposed to an unconditional gift. Regression analysis reveals that age serves as a moderator and older customers even respond slightly positive to a gift. Having detected a negative effect of gifts on rating behavior provides first indicative evidence of a possible crowding out of intrinsic motivation in the context of online ratings. This has direct implications for practitioners considering the usage of gifts to elicit online ratings.}}, author = {{Gutt, Dominik and Schlangenotto, Darius and Kundisch, Dennis}}, booktitle = {{Wirtschaftsinformatik Proceedings, St. Gallen, Switzerland}}, title = {{{You can’t buy my rating! On the pivotal effect of an unconditional gift on rating behavior}}}, year = {{2017}}, } @inbook{48, author = {{Kundisch, Dennis and Gutt, Dominik}}, booktitle = {{Digitale Ökonomie - Wie verändern sich die Märkte?}}, editor = {{Hannappel, Sandra and Rehm, Rebekka}}, title = {{{Was bedeutet die Transformation der Märkte im digitalen Zeitalter? Ökonomische Grundlagen}}}, year = {{2017}}, } @inproceedings{49, abstract = {{A multiplicity of visual languages have been proposed for representing business models. These languages are claimed to facilitate tasks such as understanding, communicating, and innovating a business model; and have been developed rather independently by scholars from accounting, computer science, information systems, and strategy. Consequently, the existing approaches greatly differ and to some extent contradict each other, for example, regarding their understanding of the business model concept, their terminology, and their visual notations – which means there is little common ground for developing a cumulative stream of research. Therefore, we provide a systematic, cross-disciplinary review of this emerging field and synthesize the pragmatic, semantic, and syntactic foundations of the proposed approaches. Further, we derive an agenda for future research and discuss the challenges that lie ahead to advance the field.}}, author = {{John, Thomas and Kundisch, Dennis and Szopinski, Daniel}}, booktitle = {{Proceedings of the 38th International Conference on Information Systems (ICIS), Seoul, South Korea}}, title = {{{Visual Languages for Modeling Business Models: A Critical Review and Future Research Directions}}}, year = {{2017}}, } @article{5019, author = {{Klör, B and Monhof, M and Beverungen, Daniel and Bräuer, S}}, journal = {{European Journal of Information Systems (EJIS)}}, pages = {{1----19}}, title = {{{Design and Evaluation of a Model-Driven Decision Support System for Repurposing Electric Vehicle Batteries}}}, doi = {{10.1057/s41303-017-0044-3}}, year = {{2017}}, } @inbook{5028, author = {{Becker, Jörg and Monhof, Markus and Beverungen, Daniel and Bräuer, Sebastian and Klör, Benjamin and Plenter, Florian}}, booktitle = {{Dienstleistungen als Erfolgsfaktor für Elektromobilität. Ergebnisse aus dem Förderschwerpunkt “Dienstleistungsinnovationen für Elektromobilität”}}, editor = {{Ganz, Walter and Kampker, Achim and Satzger, Gerhard}}, isbn = {{978-3-8396-1212-5}}, pages = {{24----29}}, title = {{{End-of-Life Solutions für eCar-Batterien --- Entwicklung hybrider Leistungsbündel und Informationssysteme zur Entscheidungsunterstützung (EOL-IS)}}}, year = {{2017}}, } @inbook{5076, author = {{Beverungen, Daniel and Matzner, Martin }}, booktitle = {{Handbuch Dienstleistungsmanagement}}, editor = {{Roth, Stefan and Corsten, Hans}}, pages = {{S. 519–536}}, publisher = {{Verlag Franz Vahlen}}, title = {{{Informationsmodellierung in Dienstleistungssystemen}}}, year = {{2017}}, } @inproceedings{52, author = {{John, Thomas and Szopinski, Daniel}}, booktitle = {{1st Business Model Conference}}, location = {{Venice, Italy}}, title = {{{Towards Explaining the Popularity of the Business Model Canvas: A Dual-coding Approach}}}, year = {{2017}}, } @inproceedings{53, abstract = {{Amongst the growing body of literature on the drivers of online ratings, the influence of customers’ local offline environment on their ratings has largely been neglected. This study examines the relationship between ratings made outside of a customer’s home area and the magnitude of online ratings. We employ a data-driven identification of a customer’s geographic home area and use variation in this variable to identify the consequences for the magnitude of ratings. In line with our theory, we find that customers who rate while traveling give, on average, higher ratings than locals. However, this relationship is moderated by the posting time of a review relative to consumption, as travelers post more negative ratings during or shortly after consumption. These relationships are most pronounced for customers who travel and rate less frequently. Our results come with substantial implications for a business’s average rating and for customer decision making. }}, author = {{Neumann, Jürgen and Gutt, Dominik and Kundisch, Dennis}}, booktitle = {{Proceedings of the 38th International Conference on Information Systems (ICIS)}}, location = {{Seoul, South Korea}}, title = {{{The Traveling Reviewer Problem – Exploring the Relationship Between Offline Locations and Online Rating Behavior}}}, year = {{2017}}, } @inproceedings{54, author = {{Neumann, Jürgen and Gutt, Dominik and Kundisch, Dennis}}, booktitle = {{INFORMS Annual Meeting}}, location = {{Houston, USA}}, title = {{{The Traveling Reviewer Problem – Exploring the Relationship between Offline Locations and Online Rating Behavior}}}, year = {{2017}}, } @inproceedings{5594, abstract = {{Design science is a fundamental research stream that contends its position in the information systems discipline. While ongoing debates address the relative importance of design science contributions in the information systems community, insights into the scientific impact of design science research (DSR) are missing and this lack of understanding arguably poses challenges to an informed discourse. To identify the most influential papers and those factors that explain their scientific impact, this paper presents an exploratory study of the scientific impact of DSR papers published in the AIS Senior Scholars' Basket of Journals. We uncover the current DSR landscape by taking stock of influential papers and theories and develop a model to explain the scientific impact of DSR papers. Our findings show that scientific impact is significantly explained by theorization and novelty. We discuss how the implications of our work can be projected on the overarching discourse on DSR.}}, author = {{Wagner, Gerit and Prester, Julian and Schryen, Guido}}, booktitle = {{38th International Conference on Information Systems}}, location = {{Seoul, South Korea}}, title = {{{Exploring the Scientific Impact of Information Systems Design Science Research: A Scientometric Study}}}, year = {{2017}}, } @inproceedings{56, author = {{John, Thomas}}, booktitle = {{1st Business Model Conference}}, location = {{Venice, Italy}}, title = {{{Supporting Business Model Idea Generation Through Machine-generated Ideas: A Design Theory}}}, year = {{2017}}, } @article{5626, author = {{Schryen, Guido and Hristova, Diana}}, journal = {{Smart Data Radar (Deutsche Bank)}}, title = {{{High-Performance Business Computing - Effizienzsteigerung durch Parallelisierung}}}, year = {{2017}}, } @article{5633, abstract = {{Literature reviews (LRs) are recognized for their increasing impact in the information systems literature. Methodologists have drawn attention to the question of how we can leverage the value of LRs to preserve and generate knowledge. The panelists who participated in the discussion of ?Standalone Literature Reviews in IS Research: What Can Be Learnt from the Past and Other Fields?? at ICIS 2016 in Dublin acknowledged this significant issue and debated a) what the IS field can learn from other fields and where IS-specific challenges occur, b) how the IS field should move forward to foster the genre of LRs, and c) what best practices are to train doctoral IS students in publishing LRs. This article reports the key takeaways of this panel discussion. Guidance for IS scholars is provided on how to conduct LRs that contribute to the cumulative knowledge development within and across the IS field to best prepare the next generation of IS scholars.}}, author = {{Schryen, Guido and Benlian, Alexander and Rowe, Frantz and Shirley, Gregor and Larsen, Kai and Petter, Stacie and Par{\'e}, Guy and Wagner, Gerit and Haag, Steffi and Yasasin, Emrah}}, issn = {{1529-3181}}, journal = {{Communications of the AIS}}, keywords = {{Literature Review, Review Methodology, Research Methodology, Doctoral Training}}, pages = {{557 -- 569}}, publisher = {{Association for Information Systems (AIS)}}, title = {{{Literature Reviews in IS Research: What Can Be Learnt from the Past and Other Fields?}}}, volume = {{40}}, year = {{2017}}, } @article{5671, abstract = {{Multi-attribute value theory (MAVT)-based recommender systems have been proposed for dealing with issues of existing recommender systems, such as the cold-start problem and changing preferences. However, as we argue in this paper, existing MAVT-based methods for measuring attribute importance weights do not fit the shopping tasks for which recommender systems are typically used. These methods assume well-trained decision makers who are willing to invest time and cognitive effort, and who are familiar with the attributes describing the available alternatives and the ranges of these attribute levels. Yet, recommender systems are most often used by consumers who are usually not familiar with the available attributes and ranges and who wish to save time and effort. Against this background, we develop a new method, based on a product configuration process, which is tailored to the characteristics of these particular decision makers. We empirically compare our method to SWING, ranking-based conjoint analysis and TRADEOFF in a between-subjects laboratory experiment with 153 participants. Results indicate that our proposed method performs better than TRADEOFF and CONJOINT and at least as well as SWING in terms of recommendation accuracy, better than SWING and TRADEOFF and at least as well as CONJOINT in terms of cognitive load, and that participants were faster with our method than with any other method. We conclude that our method is a promising option to help support consumers' decision processes in e-commerce shopping tasks.}}, author = {{Scholz, Michael and Dorner, Verena and Schryen, Guido and Benlian, Alexander}}, journal = {{European Journal of Operational Research}}, keywords = {{E-Commerce, Recommender System, Attribute Weights, Configuration System, Decision Support}}, number = {{1}}, pages = {{205 -- 215}}, publisher = {{Elsevier}}, title = {{{A configuration-based recommender system for supporting e-commerce decisions}}}, volume = {{259}}, year = {{2017}}, } @article{17158, author = {{Beverungen, Daniel and Müller, Oliver and Matzner, Martin and Mendling, Jan and vom Brocke, Jan}}, issn = {{1019-6781}}, journal = {{Electronic Markets}}, pages = {{7--18}}, title = {{{Conceptualizing smart service systems}}}, doi = {{10.1007/s12525-017-0270-5}}, year = {{2017}}, } @inproceedings{10789, author = {{Trier, Matthias and Fung, Magdalene and Hansen, Abigail}}, booktitle = {{25th European Conference on Information Systems, {ECIS} 2017, Guimar{\~{a}}es, Portugal, June 5-10, 2017}}, pages = {{104}}, title = {{{Uncertainties as Barriers for Knowledge Sharing with Enterprise Social Media}}}, year = {{2017}}, } @inproceedings{1094, abstract = {{Many university students struggle with motivational problems, and gamification has the potential to address these problems. However, gamification is hardly used in education, because current approaches to gamification require instructors to engage in the time-consuming preparation of their course contents for use in quizzes, mini-games and the like. Drawing on research on limited attention and present bias, we propose a "lean" approach to gamification, which relies on gamifying learning activities (rather than learning contents) and increasing their salience. In this paper, we present the app StudyNow that implements such a lean gamification approach. With this app, we aim to enable more students and instructors to benefit from the advantages of gamification.}}, author = {{Feldotto, Matthias and John, Thomas and Kundisch, Dennis and Hemsen, Paul and Klingsieck, Katrin and Skopalik, Alexander}}, booktitle = {{Proceedings of the 12th International Conference on Design Science Research in Information Systems and Technology (DESRIST)}}, pages = {{462--467}}, title = {{{Making Gamification Easy for the Professor: Decoupling Game and Content with the StudyNow Mobile App}}}, doi = {{10.1007/978-3-319-59144-5_32}}, year = {{2017}}, } @inproceedings{121, abstract = {{Research on ad copy design is well-studied in the context of offline marketing. However, researchers have only recently started to investigate ad copies in the context of paid search, and have not yet explored the potential of information cues to enhance customers’ search process. In this paper we analyze the impact of an information cue on user behavior in ad copies. Contrary to prevalent advice, results suggest that reducing the number of words in an ad is not always beneficial. Users act quite differently (and unexpectedly) in response to an information cue depending on their search phrases. In turn, practitioners could leverage the observed moderating effect of an information cue to enhance paid search success. Furthermore, having detected deviating user behavior in terms of clicks and conversions, we provide first indicative evidence of a self-selection mechanism at play when paid search users respond to differently phrased ad copies.}}, author = {{Schlangenotto, Darius and Kundisch, Dennis}}, booktitle = {{Proceedings of the 50th annual Hawaii International Conference on System Sciences (HICSS), Waikoloa Village, HI, USA}}, title = {{{Achieving more by saying less? On the Moderating Effect of Information Cues in Paid Search}}}, year = {{2017}}, } @inproceedings{122, abstract = {{Current research on paid search highlights its ability to enhance both online and offline conversions. Yet, research investigating the impact of placing paid search ads on less prominent positions on subsequent consumer behavior is limited to the online environment. This paper presents a field experiment using differences-in-differences analysis to investigate whether the targeting of a less prominent ad position can be beneficial for bricks-and-mortar retailers. Results indicate that paid search advertising budgets could be allocated more efficiently by targeting less prominent ad positions, thus allowing bricks-and-mortar retailers with a limited marketing budget to increase the reach of their marketing campaign, attract more consumers to their website and achieve an overall increase in conversions. Furthermore, the pay-per-click billing mechanism allows advertisers to increase their marketing reach at no additional cost. Consequently, bricks-and-mortar retailers should consider targeting less prominent ad positions to reduce advertising costs while simultaneously enhancing advertising benefits.}}, author = {{Schlangenotto, Darius and Kundisch, Dennis and Gutt, Dominik}}, booktitle = {{Proceedings of the 38th International Conference on Information Systems (ICIS), Seoul, South Korea}}, location = {{Seoul, South Korea}}, title = {{{Achieving More by Paying Less? How Bricks-and-Mortar Retailers Can Benefit by Bidding Less Aggressively in Paid Search}}}, year = {{2017}}, } @techreport{123, author = {{Jazayeri, Bahar and Zimmermann, Olaf and Engels, Gregor and Kundisch, Dennis}}, publisher = {{Universität Paderborn}}, title = {{{A Variability Model for Store-oriented Software Ecosystems: An Enterprise Perspective (Supplementary Material)}}}, year = {{2017}}, }