@article{5434, author = {{Li, C and Dau, L A and Kabst, Rüdiger}}, journal = {{Entrepreneurship Theory and Practice. }}, title = {{{The more the merrier? Immigrant share and entrepreneurial activities. }}}, year = {{2018}}, } @article{5435, author = {{Li, C and Brodbeck, F C and Shenkar, O and Ponzi, L J and Fischer, J}}, journal = {{Strategic Management Journal.}}, title = {{{Embracing the foreign: Cultural attractiveness and international strategy.}}}, year = {{2018}}, } @article{5439, author = {{Schneid, M and Isidor, R and Steinmetz, Holger and Kabst, Rüdiger}}, journal = {{Journal of Managerial Psychology.}}, title = {{{Age Diversity and team outcomes: A quantitative review. }}}, year = {{2018}}, } @article{5441, author = {{Isidor, R and Schwens, C and Hornung, F and Kabst, Rüdiger}}, journal = {{International Business Review (IBR).}}, title = {{{The Impact of Structural and Attitudinal Antecedents on the Instability of International Joint Ventures: The Mediating Role of Asymmetrical Changes in Commitment.}}}, year = {{2018}}, } @article{5448, author = {{Klonek, F and Isidor, R and Kauffeld, S}}, journal = {{Journal of Change Management.}}, title = {{{Different Stages of Entrepreneurship: Lessons From the Transtheoretical Model of Change. }}}, year = {{2018}}, } @article{5450, author = {{Schneid, M and Isidor, R and Schwens, C and Kabst, Rüdiger and Weber, I}}, journal = {{Die Betriebswirtschaft.}}, title = {{{Der Einfluss bio-demographischer und fachlicher Diversität auf die Leistung von Teams: Eine Metaanalyse.}}}, year = {{2018}}, } @inproceedings{5480, author = {{Salonen, A and Terho, H and Boehm, E and Rajala, R and Virtanen, A}}, title = {{{Engaging a product-oriented salesforce in solution sales}}}, year = {{2018}}, } @inproceedings{5481, author = {{Salonen, A and Terho, H and Boehm, E and Rajala, R and Virtanen, A}}, title = {{{How to transform a product-focused salesforce to solution sales?}}}, year = {{2018}}, } @inproceedings{5530, abstract = {{Software companies nowadays create ecosystems of users and third-party providers around their platforms. They often provide online stores so that the third-party developments can be exposed to users directly. The resulting ecosystems differ significantly from each other in their architectural designs because their providers differ in terms of business goals and contexts. Until now, this architectural diversity and rationale behind it are not well-understood. Therefore, it is not clear which software features contribute to ecosystem’s success with respect to certain business goals and context. This hinders systematic creation of ecosystems in the future. Thus, decision-making becomes too risky; for future ecosystem providers, which may lead to creation of inefficient ecosystems that lack critical features, and for third-party providers to rely on ad-hoc choices while deciding on suitability of an ecosystem for their future career. In this paper, we introduce three design patterns for store- oriented software ecosystems by classifying the design decisions, business goals, and context of 111 store-oriented software ecosystems. Each design pattern provides an architectural solution to achieve a different business goal while supporting a different context. We discuss how the design patterns are applied together in order to achieve more business goals. Our work supports ecosystem and third-party providers by sharing practice-proven architectural solutions, helping them to take informed architectural decisions and reduce technical risks.}}, author = {{Jazayeri, Bahar and Zimmermann, Olaf and Küster, Jochen and Engels, Gregor and Kundisch, Dennis and Szopinski, Daniel}}, booktitle = {{The Latin American Conference on Pattern Languages of Programs (SLPLoP)}}, publisher = {{ACM. To appear}}, title = {{{Patterns of Store-oriented Software Ecosystems: Detection, Classification, and Analysis of Design Options}}}, year = {{2018}}, } @article{5586, abstract = {{The need to protect resources against attackers is reflected by huge information security investments of firms worldwide. In the presence of budget constraints and a diverse set of assets to protect, organizations have to decide in which IT security measures to invest, how to evaluate those investment decisions, and how to learn from past decisions to optimize future security investment actions. While the academic literature has provided valuable insights into these issues, there is a lack of empirical contributions. To address this lack, we conduct a theory-based exploratory multiple case study. Our case study reveals that (1) firms? investments in information security are largely driven by external environmental and industry-related factors, (2) firms do not implement standardized decision processes, (3) the security process is perceived to impact the business process in a disturbing way, (4) both the implementation of evaluation processes and the application of metrics are hardly existent and (5) learning activities mainly occur at an ad-hoc basis.}}, author = {{Weishäupl, Eva and Yasasin, Emrah and Schryen, Guido}}, journal = {{Computers & Security}}, keywords = {{Information Security Investments, Multiple Case Study, Organizations, Single Loop Learning, Double Loop Learning}}, pages = {{807 -- 823}}, publisher = {{Elsevier}}, title = {{{Information Security Investments: An Exploratory Multiple Case Study on Decision-Making, Evaluation and Learning}}}, volume = {{77}}, year = {{2018}}, } @inproceedings{5600, author = {{Schuster, Richard and Wagner, Gerit and Schryen, Guido}}, booktitle = {{Proceedings of the 2018 International Conference on Information Systems (ICIS 2018)}}, location = {{San Francisco, CA, USA}}, title = {{{Information Systems Design Science Research and Cumulative Knowledge Development: An Exploratory Study}}}, year = {{2018}}, } @inproceedings{1046, author = {{John, Thomas and Szopinski, Daniel}}, booktitle = {{Proceedings of the Multikonferenz Wirtschaftsinformatik 2018 (MKWI), Lüneburg, Germany}}, title = {{{Towards explaining the popularity of the Business Model Canvas: A dual coding approach}}}, year = {{2018}}, } @article{1047, author = {{Stummer, Christian and Kundisch, Dennis and Decker, Reinhold}}, journal = {{Business & Information Systems Engineering}}, publisher = {{Springer}}, title = {{{Platform Launch Strategies}}}, year = {{2018}}, } @inproceedings{1060, abstract = {{With a growing number of online reviews, it becomes increasingly important for customers and online review platforms to find groups of reviewers who write useful reviews. Customers who review local offline businesses such as restaurants can identify themselves as locals or travelers and thus implicitly assign themselves to a specific reviewer group. This study investigates the relationship between identifying as a local and the perceived usefulness of their online reviews. Using data from Yelp.com, we empirically test hypotheses derived from attribution theory. Our results suggest that neutral and negative reviews by locals tend to be perceived as more useful than reviews by travelers. Positive reviews by locals, however, are not perceived as more useful. These findings provide significant practical implications for online review platforms and local offline businesses.}}, author = {{Neumann, Jürgen and Gutt, Dominik and Kundisch, Dennis and van Straaten, Dirk}}, booktitle = {{Proceedings of the Multikonferenz Wirtschaftsinformatik 2018 (MKWI), Lüneburg, Germany}}, title = {{{When Local Praise Becomes Cheap Talk - Analyzing the Relationship between Reviewer Location and Usefulness of Online Reviews}}}, year = {{2018}}, } @inproceedings{1061, abstract = {{It is well-established that both average online ratings and the number of ratings positively impact product sales. Yet, the economic implications of the information contained in the online review texts is not that well understood. In this study, we contribute to the understanding of online review texts and its economic implications by conducting and validating an unsupervised machine learning algorithm, the latent dirichlet allocation, to identify online reviews that mention product failures. Furthermore, we show that the textual information on product failures are associated with lower product sales. Our results help online review system designers, e.g., amazon, to identify these reviews and to make them easily accessible to potential customers to support the customer’s purchasing decision. Academics can build on our results by applying our validated topic identification strategy and by linking reviews mentioning product failure to a range of different outcomes.}}, author = {{Gutt, Dominik}}, booktitle = {{Proceedings of the Multikonferenz Wirtschaftsinformatik 2018 (MKWI), Lüneburg, Germany}}, title = {{{Sorting Out the Lemons - Identifying Product Failures in Online Reviews and their Relationship with Sales}}}, year = {{2018}}, } @article{1063, author = {{Stroh-Maraun, Nadja and Kaimann, Daniel and Cox, Joe}}, journal = {{Entertainment Computing}}, pages = {{26--36}}, publisher = {{Elsevier}}, title = {{{More than skills: A novel matching proposal for multiplayer video games}}}, doi = {{10.1016/j.entcom.2017.12.002}}, volume = {{25}}, year = {{2018}}, } @misc{1066, author = {{Arfeen, Muhammad Fahad}}, publisher = {{Universität Paderborn}}, title = {{{How effective are leniency programs in cartel deterrence - An overview of the empirical and experimental literature}}}, year = {{2018}}, } @misc{1067, author = {{Kersting, Florian}}, publisher = {{Universität Paderborn}}, title = {{{Die Deutsche Fußball Liga GmbH - ein Syndikat? Die Zentralvermarktung der Live-TV-Übertragungsrechte aus wettbewerbspolitischer Sicht}}}, year = {{2018}}, } @misc{1068, author = {{Beichl, Philipp}}, publisher = {{Universität Paderborn}}, title = {{{Das Zusammenschlussvorhaben der REWE Markt GmbH und Coop eG - eine wettbewerbspolitische Analyse}}}, year = {{2018}}, } @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}}, }