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Alle Publikationen der Fakultät für Wirtschaftswissenschaften

Das Research Information Systems der Universität Paderborn bietet Ihnen eine vollständige Übersicht über die Publikationen der Forscherinnen und Forscher der Fakultät für Wirtschaftswissenschaften.

Die neusten 100 Publikationen der Fakultät


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A Knowledge Development Perspective on Literature Reviews: Validation of a New Typology in the IS Field

G. Schryen, G. Wagner, A. Benlian, G. Paré, Communications of the AIS (2019), 34

Literature reviews (LRs) play an important role in the development of domain knowledge in all fields. Yet, we observe a lack of insights into the activities with which LRs actually develop knowledge. To address this important gap, we (1) derive knowledge building activities from the extant literature on LRs, (2) suggest a knowledge-based typology of LRs that complements existing typologies, and (3) apply the suggested typology in an empirical study that explores how LRs with different goals and methodologies have contributed to knowledge development. The analysis of 240 LRs published in 40 renowned IS journals between 2000 and 2014 allows us to draw a detailed picture of knowledge development achieved by one of the most important genres in the IS field. An overarching contribution of our work is to unify extant conceptualizations of LRs by clarifying and illustrating how LRs apply different methodologies in a range of knowledge building activities to achieve their goals with respect to theory.


A New Theory of Demand-Restricted Growth: The Basic Idea

T. Gries, The American Economist (2019)

DOI


A Semi-Automated Approach for Generating Online Review Templates,

M. Poniatowski, J. Neumann, T. Görzen, D. Kundisch, in: Wirtschaftsinformatik Proceedings 2019, 2019


Activate software-based business model development tools: An exploratory study

D. Szopinski. Activate software-based business model development tools: An exploratory study. 2019.



Ambidexterity in Service Innovation Research: A Systematic Literature Review

V. Wolf, in: Proceedings of the 14th International Conference on Wirtschaftsinformatik, 2019

Increased interconnectedness of multiple actors and digital resources in service eco-systems offer new opportunities for service innovation. In digitally transforming eco-systems, organizations need to explore and exploit innovation simultaneously, which is defined as ambidexterity. However, research on ambidextrous service innovation is scarce. We provide a systematic literature review based on the concepts of ambidexterity, offering two contributions. First, research strands are disconnected, emphasizing either exploration or exploitation of service innovation, despite an organizations’ need to accelerate innovation cycles of exploring and exploiting services. Second, a new framework for ambidextrous service innovation is provided, inspired by the dynamism and generative mechanisms of the ontologically related concept of organizational routines. The framework adopts the perspective of a mutually constitutive relationship between exploring new and exploiting current resources, activities, and knowledge. The findings remedy the scattered literature through a coherent perspective on service innovation that responds to organizations’ needs and guides future research.


An Exact Branch-and-Price Algorithm for Scheduling Rescue Units during Disaster Response

G. Rauchecker, G. Schryen, European Journal of Operational Research (2019)

In disaster operations management, a challenging task for rescue organizations occurs when they have to assign and schedule their rescue units to emerging incidents under time pressure in order to reduce the overall resulting harm. Of particular importance in practical scenarios is the need to consider collaboration of rescue units. This task has hardly been addressed in the literature. We contribute to both modeling and solving this problem by (1) conceptualizing the situation as a type of scheduling problem, (2) modeling it as a binary linear minimization problem, (3) suggesting a branch-and-price algorithm, which can serve as both an exact and heuristic solution procedure, and (4) conducting computational experiments - including a sensitivity analysis of the effects of exogenous model parameters on execution times and objective value improvements over a heuristic suggested in the literature - for different practical disaster scenarios. The results of our computational experiments show that most problem instances of practically feasible size can be solved to optimality within ten minutes. Furthermore, even when our algorithm is terminated once the first feasible solution has been found, this solution is in almost all cases competitive to the optimal solution and substantially better than the solution obtained by the best known algorithm from the literature. This performance of our branch-and-price algorithm enables rescue organizations to apply our procedure in practice, even when the time for decision making is limited to a few minutes. By addressing a very general type of scheduling problem, our approach applies to various scheduling situations.


Applied procrastination research: Tackling procrastination by gamification

K. Kliensieck, T. John, D. Kundisch. Applied procrastination research: Tackling procrastination by gamification. 2019.


Are cryptocurrency traders pioneers or just risk-seekers? evidence from brokerage accounts

M. Pelster, B. Breitmayer, T. Hasso, Economics Letters (2019), 182, pp. 98-100

DOI


Because your taxonomy is worth it: Towards a framework for taxonomy evaluation

D. Szopinski, T. Schoormann, D. Kundisch, in: Proceedings of the Twenty-Seventh European Conference on Information Systems (ECIS), 2019


Bundling in a Distribution Channel with Retail Competition

J.M.J. Heinzel, CIE Working Paper Series, 2019

We analyze the incentives for retail bundling and the welfare effects of retail bundling in a decentralized distribution channel with two retailers and two monopolistic manufacturers. One manufacturer exclusively sells his good to one retailer, whereas the other manufacturer sells his good to both retailers. Thus, one retailer is a monopolist for one product but competes with the other retailer in the second product market. The two-product retailer has the option to bundle his goods or to sell them separately. We find that bundling aggravates the double marginalization problem for the bundling retailer. Nevertheless, when the retailers compete in prices, bundling can be more profitable than separate selling for the retailer as bundling softens the retail competition. The ultimate outcome depends on the manufacturers’ marginal costs. Given retail quantity competition, however, bundling is in no case the retailer’s best strategy. Furthermore, we show that profitable bundling reduces consumer and producer surplus in the equilibrium.


Can Experience be Trusted? Investigating the Effect of Experience on Decision Biases in Crowdworking Platforms

T. Görzen, in: Proceedings of the 52nd Hawaii International Conference on System Sciences (HICSS), 2019


Can stimuli improve business model idea generation? Developing software-based tools for business model innovation

D. Szopinski, in: Proceedings of the ACM Creativity & Cognition, 2019

A business model describes the mechanisms whereby a firm creates, delivers, and captures value. Following the steadily growing interest in business model innovation, software tools have shown great potential in supporting business model development and innovation. Yet, understanding the cognitive processes involved in the generation of business model ideas is an aspect of software design-knowledge that has so far been neglected. To investigate whether providing stimuli – in this case, brainstorming questions – can enhance individual creativity in this context, we conduct an exploratory experiment with over 100 participants. Our study is the first to systematically investigate the process of idea generation using a software-based business model development tool with stimuli. Our preliminary findings have the potential to support the future development of business model development tools and to refine the research design used to evaluate such tools.



Credence Goods Markets with Fair and Opportunistic Experts

J.M.J. Heinzel, CIE Working Paper Series, 2019

We analyze a credence goods market adapted to a health care market with regulated prices, where physicians are heterogeneous regarding their fairness concerns. The opportunistic physicians only consider monetary incentives while the fair physicians, in addition to a monetary payoff, gain an non-monetary utility from being honest towards patients. We investigate how this heterogeneity affects the physicians’ equilibrium level of overcharging and the patients’ search for second opinions (which determines overall welfare). The impact of the heterogeneity on the fraud level is ambiguous and depends on several factors such as the size of the fairness utility, the share of fair physicians, the search level and the initial fraud level. Introducing heterogeneity does not affect the fraud or the search level when the share of fair physicians is small. However, when social welfare is not at its maximum, social welfare always increases if we introduce a sufficiently large share of fair physicians.


Credence Goods Markets with Heterogeneous Experts

J.M.J. Heinzel, CIE Working Paper Series, 2019

In this paper, we analyze a credence goods model adjusted to the health care market with regulated prices and heterogeneous experts. Experts are physicians and are assumed to differ in their cost of treating a small problem. We investigate the effects of this heterogeneity on the physicians’ level of fraud and on the patients’ search for second opinions. We find that introducing a fraction of more efficient low-cost physicians always increases social welfare, but in some cases only because of the raised physicians’ surplus. When the low-cost physicians’ cost advantage is small, imposing a share of low-cost physicians does not change the equilibrium fraud level. When the cost advantage is large, however, different changes in the fraud level occur depending on the share of generated low-cost physicians, the search rate and the initial level of fraud.


Design of Review Systems – A Strategic Instrument to shape Online Reviewing Behavior and Economic Outcomes

D. Gutt, J. Neumann, S. Zimmermann, D. Kundisch, J. Chen, Journal of Strategic Information Systems (2019), 28(2), pp. 104-117


Digitale Transformation – Rezeption aus Sicht der Akteure in der Fachschule am Berufskolleg

H. Kremer, P. Rüsing, berufsbildung Zeitschrift für Theorie-Praxis-Dialog (2019), pp. 17 - 19


Digitalization of Work Systems—An Organizational Routines’ Perspective

V. Wolf, C. Bartelheimer, D. Beverungen, in: Proceedings of the 52nd Hawaii International Conference on System Sciences (HICSS-52), 2019


Do Digital Startups Prepare for Technology Pivots? - An Initial Analysis of Job Adverts

N. Bohn, in: Proceedings of the Twenty-fifth Americas Conference on Information Systems (AMCIS), 2019


Economic Retirement Age and Lifelong Learning - a theoretical model with heterogeneous labor and biased technical change

T. Gries, S. Jungblut, T. Krieger, H. Meyer, German Economic Review (2019), 20(2), pp. 129-170

DOI





Growth Trends and Systematic Patterns of Boom and Busts –Testing 200 Years of Business Cycle Dynamics

T. Gries, M. Fritz, F. Yuanhua, Oxford Bulletin of Economics and Statistics (2019), 81(1), pp. 62-78

DOI


He Who Pays the Piper Calls the Tune: Online Review Elicitation by Sellers and Third-Party Platforms in B2B Markets

J. Neumann, D. Gutt, in: Proceedings of the Twenty-Seventh European Conference on Information Systems (ECIS), 2019



Improved Knowledge Changes the Mindset: Older Adults’ Perceptions of Care Robots

K. Thommes, J. Hoppe, R. Johansson Pajala, C.. Gustafsson, H. Melkas, S. Pekkarinen, Human Aspects of IT for the Aged Population. Design for the Elderly and Technology Acceptance (2019)

DOI


Investment timing effects of wealth taxes under uncertainty and irreversibility

R. Niemann, C. Sureth-Sloane, Journal of Business Economics (2019), 89(4), pp. 385-415

DOI



Money Makes the Reviewer Go Round – Ambivalent Effects of Online Review Elicitation in B2B Markets

J. Neumann, D. Gutt, in: Proceedings of the Twenty-fifth Americas Conference on Information Systems (AMCIS), 2019


Network Formation and Disruption - An Experiment: Are equilibrium networks too complex?

A.E. Endres, S. Recker, B. Mir Djawadi, B. Hoyer, Journal of Economic Behavior and Organization (2019), 157, pp. 708-734

Models on network formation have often been extended to include the potential of network disruption in recent years. Whereas the theoretical research on network formation under the threat of disruption has thus gained prominence, hardly any experimental research exists so far. In this paper, we therefore experimentally study the emergence of networks including the aspect of a known external threat by relating theoretical predictions by Dzuibiński and Goyal (2013) to actual observed behaviour. We deal with the question if subjects in the role of a strategic Designer are able to form safe networks for least costs while facing a strategic Adversary who is going to attack their networks. Varying the costs for protecting nodes, we designed and tested two treatments with different predictions for the equilibrium network and investigated whether one of the least cost equilibrium networks was more likely to be reached. Furthermore, the influence of the subjects’ farsightedness on their decision-making process was elicited and analysed. We find that while subjects are able to build safe networks in both treatments, equilibrium networks are only built in one of the two treatments. In the other treatment, predominantly safe networks are built but they are not for least costs. Additionally, we find that farsightedness –as measured in our experiment– has no influence on whether subjects are able to build safe or least cost equilibrium networks. Two robustness settings with a reduced external threat or more liberties to modify the initial networks qualitatively confirm our results. Overall, in this experiment observed behaviour is only partially in line with the theoretical predictions by Dzuibiński and Goyal (2013).


Organizing Their Thoughts – How Online Review Templates Affect the Review Text

M. Poniatowski, J. Neumann, T. Görzen, D. Kundisch, in: Proceedings of the Twenty-Seventh European Conference on Information Systems (ECIS), 2019


Pirates – The Young and the Jobless: The Effect of Youth Bulges and Youth Labor Market Integration on Maritime Piracy

T. Gries, M. Redlin, Defence and Peace Economics (2019), 30(3), pp. 309-323

DOI



Pricing and issuance dependencies in SFP portfolios

M. Pelster, A. Schertler, Journal of Futures Markets (2019), 39(3), pp. 342-365

We exploit a unique sample of structured financial products (SFPs) to analyze pricing and issuance dependencies among different types of such market‐linked investment vehicles. Our study provides evidence of cross‐pricing between products with complementary payoff profiles. Such dependencies may be explained by issuers’ efforts to generate order flow for products that supplement their current SFP risk exposure. Additionally, we observe issuance patterns in line with the argument that issuers exploit the complementarity payout profiles when bringing SFPs to market. Our study emphasizes cross‐pricing from a perspective not previously considered in the literature.


Quantifying the Impact of Geospatial Recommendations: A Field Experiment in High Street Retail

J.H. Betzing, C. Bartelheimer, M. Niemann, C.I. Berendes, D. Beverungen, in: Proceedings of the 27th European Conference on Information Systems (ECIS), 2019


Reviewing the Vendor or the Product – Analyzing Vendor versus Product Representation in B2B Review Systems

M. Poniatowski, J. Neumann, D. Kundisch. Reviewing the Vendor or the Product – Analyzing Vendor versus Product Representation in B2B Review Systems. 2019.


Secular stagnation? Is there statistical evidence of an unprecedented, systematic decline in growth?

M. Fritz, T. Gries, Y. Feng, Economics Letters (2019), 181, pp. 47-50

DOI


Software tools for business model innovation: Current state and future challenges

D. Szopinski, T. Schoormann, T. John, R. Knackstedt, D. Kundisch, Electronic Markets (2019)



Squaring the circle: Business model teaching in large classroom settings

D. Szopinski, Journal of Business Models (2019)

Business model innovation is typically taught in small seminars at universities. Teaching this intrinsically task-oriented subject to a large number of students is a challenge. In this paper we address this challenge by proposing an experiential and interactive approach to teaching business models in a large classroom setting.


Steuerkomplexität im Vergleich zwischen Deutschland und Österreich – Eine Analyse des Status quo

T. Hoppe, M. Rechbauer, S. Sturm, 2019

Die Komplexität von Steuersystemen gewinnt in der Debatte um den internationalen Steuerwettbewerb zunehmend an Bedeutung. Im vorliegenden Beitrag erfolgt, basierend auf den Daten, die dem Tax Complexity Index (www.taxcomplexity.org) zugrunde liegen, eine umfassende Gegenüberstellung der Komplexität der Steuersysteme von Deutschland und Öster-reich unter Berücksichtigung der Mittelwerte aller Länder. Die Steuergesetze weisen sowohl in Deutschland als auch in Österreich einen verhältnismäßig hohen Grad an Komplexität auf. Bei den steuerlichen Rahmenbedingungen fällt der Grad an Komplexität in beiden Ländern dagegen niedrig aus, wobei Österreich im Durchschnitt weniger komplex ist als Deutschland.


The Common Enemy Effect under Strategic Network Formation and Disruption

B. Hoyer, H. Haller, Journal of Economic Behavior & Organization (2019), 162, pp. 146-163

Social psychology studies the "common enemy effect", the phenomenon that members of a group work together when they face an opponent, although they otherwise have little in common. An interesting scenario is the formation of an information network where group members individually sponsor costly links. Suppose that ceteris paribus, an outsider appears who aims to disrupt the information flow within the network by deleting some of the links. The question is how the group responds to this common enemy. We address this question for the homogeneous connections model of strategic network formation, with two-way flow of information and without information decay. For sufficiently low linkage costs, the external threat can lead to a more connected network, a positive common enemy effect. For very high but not prohibitively high linkage costs, the equilibrium network can be minimally connected and efficient in the absence of the external threat whereas it is always empty and ineffi cient in the presence of the external threat, a negative common enemy effect. For intermediate linkage costs, both connected networks and the empty network are Nash for certain cost ranges.


The Long Tail of Taxonomy Evaluation Criteria: A Structured Overview

D. Szopinski, T. Schoormann, D. Kundisch, 2019


The Virtues of Anonymity - An Empirical Investigation of the Relationship between B2B Online Ratings and Reviewer Self-Disclosure

D. Gutt, J. Neumann, in: Proceedings of the Twenty-Seventh European Conference on Information Systems (ECIS), 2019


Using High Performance Computing for Unrelated Parallel Machine Scheduling with Sequence-Dependent Setup Times: Development and Computational Evaluation of a Parallel Branch-and-Price Algorithm

G. Rauchecker, G. Schryen, Computers & Operations Research (2019)(104), pp. 338-357

Scheduling problems are essential for decision making in many academic disciplines, including operations management, computer science, and information systems. Since many scheduling problems are NP-hard in the strong sense, there is only limited research on exact algorithms and how their efficiency scales when implemented on parallel computing architectures. We address this gap by (1) adapting an exact branch-and-price algorithm to a parallel machine scheduling problem on unrelated machines with sequence- and machine-dependent setup times, (2) parallelizing the adapted algorithm by implementing a distributed-memory parallelization with a master/worker approach, and (3) conducting extensive computational experiments using up to 960 MPI processes on a modern high performance computing cluster. With our experiments, we show that the efficiency of our parallelization approach can lead to superlinear speedup but can vary substantially between instances. We further show that the wall time of serial execution can be substantially reduced through our parallelization, in some cases from 94 hours to less than six minutes when our algorithm is executed on 960 processes.



Walking the Middle Path: How Medium Trade-off Exposure Leads to Higher Consumer Satisfaction in Recommender Agents

V. Schuhbeck, N. Siegfried, V. Dorner, A. Benlian, M. Scholz, G. Schryen, in: Proceedings of the 14. Internationale Tagung Wirtschaftsinformatik, 2019, pp. 55-64

Recommender Agents (RAs) facilitate consumers’ online purchase decisions for complex, multi-attribute products. As not all combinations of attribute levels can be obtained, users are forced into trade-offs. The exposure of trade-offs in a RA has been found to affect consumers’ perceptions. However, little is known about how different preference elicitation methods in RAs affect consumers by varying degrees of trade-off exposure. We propose a research model that investigates how different levels of trade-off exposure cognitively and affectively influence consumers’ satisfaction with RAs. We operationalize these levels in three different RA types and test our hypotheses in a laboratory experiment with 116 participants. Our results indicate that with increasing tradeoff exposure, perceived enjoyment and perceived control follow an inverted Ushaped relationship. Hence, RAs using preference elicitation methods with medium trade-off exposure yield highest consumer satisfaction. This contributes to the understanding of trade-offs in RAs and provides valuable implications to e-commerce practitioners.


When does Local Status Matter? – The Relationship between Reviewer Location and Perceived Usefulness of Online Reviews

J. Neumann, D. Gutt, T. Görzen, D. Kundisch, in: Proceedings of the Twenty-fifth Americas Conference on Information Systems (AMCIS), 2019


Who trades cryptocurrencies, how do they trade it, and how do they perform? Evidence from brokerage accounts

T. Hasso, M. Pelster, B. Breitmayer, Journal of Behavioral and Experimental Finance (2019), 23, pp. 64-74

We investigate the demographic characteristics, trading patterns, and performance of 465.926 brokerage accounts with respect to cryptocurrency trading. We find that cryptocurrency trading became increasingly popular across individuals of all different groups of age, gender, and trading patterns. Yet, men are more likely to engage in cryptocurrency trading, trade more frequently, and more speculative, respectively. As a result, men realize lower returns. Furthermore, we find that investors vary their trading patterns across different asset classes.



Determinants of Equilibrium Selection in Network Formation - An Experiment

B. Hoyer, S. Rosenkranz, Games (2018), 9(4)



"Pay for It Heavily": Does U.S. Support for Israel Lead to Anti-American Terrorism?

T. Gries, D. Meierrieks, Defence and Peace Economics (2018)

DOI




,Messy Research‘: Methodologische Herausforderungen der Hochschulbildungsforschung

T. Jenert, in: Theorie und Praxis der Hochschulbildungsforschung: Theoretische, methodologische und methodische Denkanstöße für die Hochschuldidaktik, Springer Verlag, 2018, pp. 149-166

Der Band reflektiert die normativen Voraussetzungen sowie methodologische und methodische Merkmale einer Hochschulbildungsforschung. Eine solche Forschung befasst sich mit den spezifischen didaktischen Anforderungen, die mit akademischem Lehren und Lernen sowie mit dem Anspruch an eine Bildung durch Wissenschaft verbunden sind. Hochschuldidaktik braucht eine Forschung, die ihrem Gegenstand gerecht wird und sich sowohl mit den normativen Zielen von Hochschulbildung als auch mit den individuellen Ansprüchen und Rahmenbedingungen einzelner Fächer auseinandersetzt. Im Rahmen konzeptioneller Beiträge wie auch konkreter Beispiele zeigt der Sammelband, wie Theorie und Praxis der Hochschulbildungsforschung entwickelt werden können.


A Box-Cox Semiparametric Multiplicative Error Model

X.. Zhang, Y. Feng, in: Book of Abstracts, 2018, pp. 19



A Duration Model Analysis of Consumer Preferences and Determinants of Video Game Consumption

D. Kaimann, N. Stroh-Maraun, J. Cox, Journal of Consumer Behaviour (2018), 17(3), pp. 290 - 301

DOI


About the Fear of Reputational Loss: Social Trading and the Disposition Effect

M. Pelster, A. Hofmann, Journal of Banking & Finance (2018)

DOI


Affect and stock returns

B. Breitmayer, M. Pelster, Journal of Behavioral and Experimental Finance (2018)

DOI


Age Diversity and team outcomes: A quantitative review.

M. Schneid, R. Isidor, H. Steinmetz, R. Kabst, Journal of Managerial Psychology. (2018)




An Extended Perspective of Technology Pivots in Software Startups: Towards a Theoretical Model

N. Bohn, D. Kundisch. An Extended Perspective of Technology Pivots in Software Startups: Towards a Theoretical Model. 2018.


An Extended Perspective of Technology Pivots in Software Startups: Towards a Theoretical Model

N. Bohn, D. Kundisch, in: Proceedings of the Thirty Ninth International Conference on Information Systems (ICIS), 2018


An Extended Perspective of Technology Pivots in Software Startups: Towards a Theoretical Model

N. Bohn, D. Kundisch, in: Proceedings of the Thirty Ninth International Conference on Information Systems (ICIS), 2018


Ancillary market signaling: A two-stage model of economic reputation on ancillary market success

D. Kaimann, Applied Economics Letters (2018)


Anreize in Bewertungssysteme

T. Martens, Bachelorarbeit, Universität Paderborn, 2018


Anschlüsse eröffnen, Entwicklungen ermöglichen. Qualifizierungsbausteine inklusiv in einer dualisierten Ausbildungsvorbereitung. Reflexionen und Ergebnisse aus dem Forschungs- und Entwicklungsprojekt QBi

P. Frehe-Halliwell, H. Kremer. Anschlüsse eröffnen, Entwicklungen ermöglichen. Qualifizierungsbausteine inklusiv in einer dualisierten Ausbildungsvorbereitung. Reflexionen und Ergebnisse aus dem Forschungs- und Entwicklungsprojekt QBi. 2018.



Are Gift Purchases an Effective Driver of Customer Loyalty?

A. Eggert, L. Steinhoff, C. Witte, 2018


Assessing the long-term fragmentation of information systems research with a longitudinal multi-network analysis

G.F. Khan, M. Trier, European Journal of Information Systems (2018), pp. 370-393

DOI


Ausblick: Zur didaktischen Gestaltung der Ausbildungsvorbereitung

P. Frehe-Halliwell, H. Kremer, in: Anschlüsse eröffnen, Entwicklungen ermöglichen. Qualifizierungsbausteine inklusiv in einer dualisierten Ausbildungsvorbereitung. Reflexionen und Ergebnisse aus dem Forschungs- und Entwicklungsprojekt QBi., 2018, pp. 177-185



Automated Bilateral Multiple-issue negotiation with no information about opponent

E. Löwen, Bachelorarbeit, Universität Paderborn, 2018


Bank stock performance and bank regulation around the globe

M. Pelster, F. Irresberger, G.N. Weiß, The European Journal of Finance (2018), 24(2), pp. 77-113

DOI



Beschreib mir deine Wohnung und ich sag dir wer du bist - Eine explorative Analyse von Gastgeberpersönlichkeiten auf Airbnb

M. Müller, D. Gutt, J. Neumann, in: Multikonferenz Wirtschaftsinformatik (MKWI) 2018, 2018


Bewertung von Wachstumsunternehmen

C. Peitz, B.M. Gilroy, V. Seiler, in: Handbuch Kapitalmarktorientierte Unternehmensbewertung: Grundlagen, Methoden, Regulierung und Branchentrends, Schäffer Poeschel, 2018, pp. 103 - 120



Bitcoins disruptives Potenzial im elektronischem Zahlungsverkehr

V.F. Jansen, Bachelorarbeit, Universität Paderborn, 2018


Business model idea generation: An exploratory study on changing perspectives

D. Szopinski, D. Kundisch. Business model idea generation: An exploratory study on changing perspectives. 2018.


Can Companies Freeride on Public Interest Events? The Effect of Peak Days on Paid Search Advertising during the UEFA Euro 2016

D. Piasecki, D. Schlangenotto. Can Companies Freeride on Public Interest Events? The Effect of Peak Days on Paid Search Advertising during the UEFA Euro 2016. 2018.



Classifying the Ideational Impact of IS Review Articles: A Natural Language Processing Based Approach

J. Prester, G. Wagner, G. Schryen, in: Proceedings of the 2018 International Conference on Information Systems (ICIS 2018), 2018


Clean up your network: how a strike changed the social networks of a working team

K. Thommes, A. Akkerman, Team Performance Management: An International Journal (2018)(1/2), pp. 43--63


Clean up your network: how a strike changed the social networks of a working team

K. Thommes, A. Akkerman, Team Performance Management: An International Journal (2018)(1/2), pp. 43--63


Conceptualizing and communicating value in business markets: From value in exchange to value in use

A. Eggert, W. Ulaga, P. Frow, A. Payne, Industrial Marketing Management (2018), pp. 80--90


Crowd-Driven Competitive Intelligence: Understanding the Relationship between Local Market Competition and Online Rating Distributions

D. Gutt, P. Herrmann, M. Rahman, Information Systems Research (2018)


Das Blended Mentoring Concept: Digital gestützte Begleitung von Jugendlichen im Betriebspraktikum (Teil 1)

C. Gockel, H. Kremer, Wirtschaft und Erziehung (2018), 70(1), pp. 13-17


Das Blended Mentoring Concept: Digital gestützte Begleitung von Jugendlichen im Betriebspraktikum (Teil 2)

C. Gockel, H. Kremer, Wirtschaft und Erziehung (2018), 70(2), pp. 66-74




Data-driven Customer Journey Mapping in Local High Streets: A Domain-specific Modeling Language

C. Ingo Berendes, C. Bartelheimer, J. Hendrik Betzing, D. Beverungen, in: Proceedings of the 39th International Conference on Information Systems, 2018


Decision Support for the Optimal Coordination of Spontaneous Volunteers in Disaster Relief

G. Rauchecker, G. Schryen, in: 15th International Conference on Information Systems for Crisis Response and Management, 2018

When responding to natural disasters, professional relief units are often supported by many volunteers which are not affiliated to humanitarian organizations. The effective coordination of these volunteers is crucial to leverage their capabilities and to avoid conflicts with professional relief units. In this paper, we empirically identify key requirements that professional relief units pose on this coordination. Based on these requirements, we suggest a decision model. We computationally solve a real-world instance of the model and empirically validate the computed solution in interviews with practitioners. Our results show that the suggested model allows for solving volunteer coordination tasks of realistic size near-optimally within short time, with the determined solution being well accepted by practitioners. We also describe in this article how the suggested decision support model is integrated in the volunteer coordination system which we develop in joint cooperation with a disaster management authority and a software development company.


Decomposing the Variance of Consumer Ratings and the Impact on Price and Demand

S. Zimmermann , P. Herrmann, D. Kundisch, B. Nault, Information Systems Research (2018), 29(4), pp. 984-1002

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.


Demografiegerechtes Verbraucherrecht? – Die Verbraucherstellung im Spiegel sozialer, wirtschaftlicher und technologischer Prozesse

S. Müller, V. Kluge, in: Jenseits des Otto Normalverbrauchers – Verbraucherpolitik in Zeiten des „unmanageable consumer“, 8th ed., Kompetenzzentrum Verbraucherforschung NRW, Verbraucherzentrale Nordrhein-Westfalen e.V., 2018, pp. 77-95

Während das Verbraucherprivatrecht an sich recht dicht reguliert ist, hat es demografische Entwicklungen und Kenngrößen bislang noch nicht gezielt aufgegriffen. Doch altersbedingte Einschränkungen oder Sprach- und Technikbarrieren können die praktische Wirksamkeit des Verbraucherrechts in "demografisch geprägten" Sachverhalten in Frage stellen. Der vorliegende Beitrag möchte den Stand des Verbraucherrechts daraufhin untersuchen, ob das Recht demografieblind ist oder ob Anknüpfungspunkte bestehen, welche die Aufnahme individueller Alters-, Migrations- und Kulturerfahrungen bei der Ausformung des Verbraucherrechts gestatten....


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