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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 (2020), 46, pp. 134-186

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.

Arbeitsrechtliche Rechtsprechung des EuGH im Jahre 2019

D. Krimphove, ArbR – Arbeitsrecht Aktuell (2020), 1, pp. 1-4

Capabilities for Ambidextrous Innovation of Digital Service

V. Wolf, H. Lüttenberg, in: Proceedings of the 15th International Conference on Wirtschaftsinformatik, 2020

Criteria as a prelude for guiding taxonomy evaluation

D. Szopinski, T. Schoormann, D. Kundisch, in: Proceedings of the 53rd Hawaii International Conference on System Sciences (HICSS), 2020

Designing City Center Area Recommendation Systems

P. zur Heiden, C.I. Berendes, D. Beverungen, in: Proceedings of the 15th International Conference on Wirtschaftsinformatik, 2020

To decide in which part of town to open stores, high street retailers consult statistical data on customers and cities, but they cannot analyze their customers’ shopping behavior and geospatial features of a city due to missing data. While previous research has proposed recommendation systems and decision aids that address this type of decision problem – including factory location and assortment planning – there currently is no design knowledge available to prescribe the design of city center area recommendation systems (CCARS). We set out to design a software prototype considering local customers’ shopping interests and geospatial data on their shopping trips for retail site selection. With real data on 500 customers and 1,100 shopping trips, we demonstrate and evaluate our IT artifact. Our results illustrate how retailers and public town center managers can use CCARS for spatial location selection, growing retailers’ profits and a city center’s attractiveness for its citizens.

Die „Logik“ der Überzeugungskraft

D. Krimphove, Rechtstheorie (2020), 50(1), pp. 107-113

Establishing Smart Service Systems is a Challenge: A Case Study on Pitfalls and Implications

V. Wolf, A. Franke, C. Bartelheimer, D. Beverungen, in: Proceedings of the 15th International Conference on Wirtschaftsinformatik, 2020

Forecasting IT Security Vulnerabilities - An Empirical Analysis

E. Yasasin, J. Prester, G. Wagner, G. Schryen, Computers & Security (2020), 88(January)

Today, organizations must deal with a plethora of IT security threats and to ensure smooth and uninterrupted business operations, firms are challenged to predict the volume of IT security vulnerabilities and allocate resources for fixing them. This challenge requires decision makers to assess which system or software packages are prone to vulnerabilities, how many post-release vulnerabilities can be expected to occur during a certain period of time, and what impact exploits might have. Substantial research has been dedicated to techniques that analyze source code and detect security vulnerabilities. However, only limited research has focused on forecasting security vulnerabilities that are detected and reported after the release of software. To address this shortcoming, we apply established methodologies which are capable of forecasting events exhibiting specific time series characteristics of security vulnerabilities, i.e., rareness of occurrence, volatility, non-stationarity, and seasonality. Based on a dataset taken from the National Vulnerability Database (NVD), we use the Mean Absolute Error (MAE) and Root Mean Square Error (RMSE) to measure the forecasting accuracy of single, double, and triple exponential smoothing methodologies, Croston's methodology, ARIMA, and a neural network-based approach. We analyze the impact of the applied forecasting methodology on the prediction accuracy with regard to its robustness along the dimensions of the examined system and software package "operating systems", "browsers" and "office solutions" and the applied metrics. To the best of our knowledge, this study is the first to analyze the effect of forecasting methodologies and to apply metrics that are suitable in this context. Our results show that the optimal forecasting methodology depends on the software or system package, as some methodologies perform poorly in the context of IT security vulnerabilities, that absolute metrics can cover the actual prediction error precisely, and that the prediction accuracy is robust within the two applied forecasting-error metrics.

Framing and the disposition effect in a scopic regime

M.L. Liêu, M. Pelster, The Quarterly Review of Economics and Finance (2020)


Gender, competitiveness, and task difficulty: Evidence from the field

B. Hoyer, T. van Huizen, L.. Keijzer, S.. Rezaei, S. Rosenkranz, B.. Westbrock, Labour Economics (2020)

This study examines the gender gap in competitiveness in an educational setting and tests whether this gap depends on the difficulty of the task at hand. For this purpose, we administered a series of experiments during the final exam of a university course. We confronted three cohorts of undergraduate students with a set of bonus questions and the choice between an absolute and a tournament grading scheme for these questions. To test the moderating impact of task difficulty, we (randomly) varied the difficulty of the questions between treatment groups. We find that, on average, women are significantly less likely to select the tournament scheme. However, the results show that the gender gap in tournament entry is sizable when the questions are relative easy, but much smaller and statistical insignificant when the questions are difficult.

Goal Achievement, Subsequent User Effort and the Moderating Role of Goal Difficulty

D. Gutt, T. von Rechenberg, D. Kundisch, Journal of Business Research (2020), 106, pp. 277-287


High Performance Business Computing

G. Schryen, N. Kliewer, A. Fink, Business & Information Systems Engineering (2020)

How to Build Trust on Peer-to-Peer Platforms: An Investigation of the Antecedents of Peer and Platform Trust

M. Purrmann, N. Wünderlich, in: Proceedings of the 2020 AMA Winter Academic Conference, 2020

Integrating Management Science into the HPC Research Ecosystem

G. Schryen, {Communications of the ACM} (2020), forthcoming

Interview with Utz-Uwe Haus on “High Performance Computing in Economic Environments”

G. Schryen, N. Kliewer, A. Fink, Business & Information Systems Engineering (2020)(01/2020)

This interview is part of the special issue (01/2020) on “High Performance Business Computing” to be published in the journal Business & Information Systems Engineering. The interviewee Utz-Uwe Haus is Senior Research Engineer @ CRAY European Research Lab (CERL)). A bio of him is included at the end of the interview.

Matching Strategies of Heterogeneous Agents under Incomplete Information in a University Clearinghouse

B. Hoyer, N. Stroh-Maraun, Games and Economic Behavior (2020)

We analyze the actual behavior of agents in a matching mechanism, using data from a clearinghouse at the Faculty of Business Administration and Economics at a German university, where a variant of the Boston mechanism is used. We supplement this data with data generated in a survey among the students who participated in the clearinghouse. We find that under the current mechanism over 74% of students act strategically by misrepresenting at least one of their preferences. Nevertheless, not all students are able to improve their outcome by doing so. We show that this is mainly due to the incomplete information of students and naiveté. Sophisticated students actually reach significantly better outcomes than naive students. Thus, we find evidence that naive students are exploited by sophisticated students in an incomplete information setting.

Nudging in Judging- Differences in Online Rating Behavior for Utilitarian and Hedonic Service Aspects

J. Seutter, J. Neumann, D. Kundisch. Nudging in Judging- Differences in Online Rating Behavior for Utilitarian and Hedonic Service Aspects. 2020.

Parallel computational optimization in operations research: A new integrative framework, literature review and research directions

G. Schryen, European Journal of Operational Research (2020), forthcoming

Taxonomie zu Taxonomie-Nutzungsgründen

L. Wolfförster, Bachelorarbeit, 2020

The gambler’s and hot-hand fallacies: Empirical evidence from trading data

M. Pelster, Economics Letters (2020), 187


Timing in Information Security: An Event Study on the Impact of Information Security Investment Announcements

E. Szubartowicz, G. Schryen, Journal of Information System Security (2020)

Timing plays a crucial role in the context of information security investments. We regard timing in two dimensions, namely the time of announcement in relation to the time of investment and the time of announcement in relation to the time of a fundamental security incident. The financial value of information security investments is assessed by examining the relationship between the investment announcements and their stock market reaction focusing on the two time dimensions. Using an event study methodology, we found that both dimensions influence the stock market return of the investing organization. Our results indicate that (1) after fundamental security incidents in a given industry, the stock price will react more positively to a firm’s announcement of actual information security investments than to announcements of the intention to invest; (2) the stock price will react more positively to a firm’s announcements of the intention to invest after the fundamental security incident compared to before; and (3) the stock price will react more positively to a firm’s announcements of actual information security investments after the fundamental security incident compared to before. Overall, the lowest abnormal return can be expected when the intention to invest is announced before a fundamental information security incident and the highest return when actual investing after a fundamental information security incident in the respective industry.

Transformation of Actors’ Roles in Service Systems: A Multi-Level Analysis (Accepted)

V. Wolf, C. Bartelheimer, in: 16th International Research Conference in Service Management, 2020

Visualize different: Towards researching the fit between taxonomy visualizations and taxonomy tasks

D. Szopinski, T. Schoormann, D. Kundisch. Visualize different: Towards researching the fit between taxonomy visualizations and taxonomy tasks. 2020.

You Write What You Are - Exploring the Relationship between Online Reviewers' Personality Traits and Their Reviewing Behavior

M. Poniatowski, J. Neumann. You Write What You Are - Exploring the Relationship between Online Reviewers' Personality Traits and Their Reviewing Behavior. 2020.

A Case for a New IT Ecosystem: On-The-Fly Computing

H. Karl, D. Kundisch, F. Meyer auf der Heide, H. Wehrheim, Business & Information Systems Engineering (2019)


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

T. Gries, The American Economist (2019)


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.

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

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

All Things Considered? – Technology Design Decision-making Characteristics in Digital Startups

N. Bohn, D. Kundisch, in: Proceedings of the 40th International Conference on Information Systems (ICIS), 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

Are cryptocurrency traders driven by a desire to invest in a new asset class to diversify their portfolio or are they merely seeking to increase their levels of risk? To answer this question, we use individual-level brokerage data and study their behavior in stock trading around the time they engage in their first cryptocurrency trade. We find that when engaging in cryptocurrency trading investors simultaneously increase their risk-seeking behavior in stock trading as they increase their trading intensity and use of leverage. The increase in risk-seeking in stocks is particularly pronounced when volatility in cryptocurrency returns is low, suggesting that their overall behavior is driven by excitement-seeking.

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 (2019), 28(4), pp. 370-393


Attracting attention from peers: Excitement in social trading

M. Pelster, B. Breitmayer, Journal of Economic Behavior & Organization (2019), 161, pp. 158-179


Aus Daten müssen Informationen werden

S. Arsenkerschbaumer, C. Sureth-Sloane. Aus Daten müssen Informationen werden. 2019.

Banks and Corporate Income Taxation: A Review

V. Gawehn, SSRN, 2019, pp. 34

n this paper, I review the empirical literature in the intersection of banks and corporate income taxation that emerged over the last two decades. To structure the included studies, I use a stakeholder approach and outline how corporate income taxation plays into the relation of banks and their four main stakeholders: bank regulators, customers, investors and tax authorities. My contribution to the literature is threefold: First, I contribute by providing, to the best of my knowledge, a first comprehensive review on this topic. Second, I point to areas for future research. Third, I deduce policy implications from the studies under review. In sum, the studies show that taxes distort banks’ pricing decisions, the relative attractiveness of debt and equity financing, the decision to report on or off the balance sheet and banks’ investment allocations. Empirical insights on how tax rules affect banks’ decision-making are helpful for policymakers to tailor suitable and sustainable tax legislation directed at banks.

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

D. Szopinski, T. Schoormann, D. Kundisch, in: Proceedings of the 27th 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.

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

D. Gutt, P. Herrmann, M. Rahman, Information Systems Research (2019), 30(3), pp. 980-994

Culture and the disposition effect

B. Breitmayer, T. Hasso, M. Pelster, Economics Letters (2019), 184


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

Determinants of CDS trading on major banks

B. Hippert, A. Uhde, S.T. Wengerek, 2019

Employing credit default swap (CDS) data for a sample of 52 major banks across 18 countries from 2008 to 2016, this paper investigates determinants of the outstanding net notional amount of CDS which are written on banks. We extend the current literature dealing with CDS trading by analyzing further CDS trading-specific, fundamental bank-specific as well as macroeconomic and institutional determinants with a focus on bank CDS trading. We find that, next to well-discussed determinants for corporate firms in the literature, especially a bank's tail risk, capital adequacy, loan portfolio and business model affect a bank's outstanding CDS net notional. This finding indicates that investors in the bank CDS market partly have a recourse to a fundamental analysis for their investment decision. Our study fills an important gap since empirical studies have solely focused on sovereign and corporate CDS yet. In addition, the analysis at hand provides important implications for both academics and practitioners since understanding the trading motives of bank CDS investors gives deeper insights into the still opaque CDS market.

Digital Tools for Teaching Business Model Innovation in Information Systems: A newly developed didactic approach comprising video-based peer feedback

D. Szopinski, T. John, D. Kundisch. Digital Tools for Teaching Business Model Innovation in Information Systems: A newly developed didactic approach comprising video-based peer feedback. 2019.

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 25th Americas Conference on Information Systems (AMCIS), 2019

Duality for General TU-games Redefined

F. Aslan, P. Duman, W. Trockel, CIE Working Paper Series, Paderborn University, 2019

We criticize some conceptual weaknesses in the recent literature on coalitional TUgames and propose, based on our critics, a new definition of dual TU-games that coincides with the one in the literature on the class of super-additive games. We justify our new definition in four alternative ways: 1. Via an adequate definition of ecient payo vectors. 2. Via a modification of the Bondareva-Shapley duality. 3. Via an explicit consideration of \coalition building". 4. Via associating general TU-games to coalition-production economies. Rather than imputations, we base our analysis on a modification of aspirations.

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


Eine Analyse ausbildungsvorbereitender Bildungsgänge

H. Kremer, P. Frehe-Halliwell, in: Potenzialorientierte Förderung in den Fachdidaktiken, Waxmann, 2019, pp. 151 - 170

Entwicklungsförderliche Gestaltung von Qualifizierungsbausteinen in der dualisierten Ausbildungsvorbereitung

H. Kremer, P. Frehe-Halliwell, BWP (2019), pp. 5

Evolutionary equilibrium in contests with stochastic participation: Entry, effort and overdissipation

Y. Gu, B. Hehenkamp, W. Leininger, Journal of Economic Behavior & Organization (2019), pp. 469-485

This paper examines the evolutionary stability of behaviour in contests where players’ participation can be stochastic. We find, for exogenously given participation probabilities, players exert more effort under the concept of a finite-population evolutionarily stable strategy (FPESS) than under Nash equilibrium (NE). We show that there is ex-ante overdissipation under FPESS for sufficiently large participation probabilities, if, and only if, the impact function is convex. With costly endogenous entry, players enter the contest with a higher probability and exert more effort under FPESS than under NE. Importantly, under endogenous entry, overdissipation can occur for all (Tullock) contest success functions, in particular those with concave impact functions.

Exploiting Counterfactuals for Scalable Stochastic Optimization

S. Kuhlemann, M. Sellmann, K. Tierney, in: Lecture Notes in Computer Science, 2019


Exploring the link between payment schemes and customer fraud: a mental accounting perspective

I. Garnefeld, A. Eggert, M. Husemann-Kopetzky, E. Boehm, Journal of the Academy of Marketing Science (2019), 47(4), pp. 595--616

Fachbezogene Reflexion in der beruflichen Lehrer*innenbildung

T. Jenert, T. Brahm, N. Naeve-Stoß, bwpat (2019), 37

Gift Purchases as Catalysts for Strengthening Customer–Brand Relationships

A. Eggert, L. Steinhoff, C. Witte, Journal of Marketing (2019)

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


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 27th European Conference on Information Systems (ECIS), 2019

Head over Feels? Differences in Online Rating Behavior for Utilitarian and Hedonic Service Aspects

J. Seutter, J. Neumann. Head over Feels? Differences in Online Rating Behavior for Utilitarian and Hedonic Service Aspects. 2019.

High-Performance Business Computing – Parallel Algorithms and Implementations for Solving Problems in Operations Research and Data Analysis

G. Schryen, N. Kliewer, R. Borndörfer, T. Koch, OR News (2019), 65, pp. 34-35

Impact of national culture on organizations’ use of selection practices

N.R. Prince, R. Kabst, Employee Relations: The International Journal (2019), pp. 1145-1161

<jats:sec> <jats:title content-type="abstract-subheading">Purpose</jats:title> <jats:p>The purpose of this paper is to investigate the impact of national culture on organizations’ use of selection practices, specifically to investigate the impact of in-group collectivism, uncertainty avoidance and power distance on interview panels, one-on-one interviews, applications forms, references, ability, technical and psychometric tests.</jats:p> </jats:sec> <jats:sec> <jats:title content-type="abstract-subheading">Design/methodology/approach</jats:title> <jats:p>This study uses survey data from the 2008–2010 CRANET database. It uses OLS regression analysis to test the impact of national culture on organizations’ use of selection practices.</jats:p> </jats:sec> <jats:sec> <jats:title content-type="abstract-subheading">Findings</jats:title> <jats:p>In-group collectivism increases the use of panel interviews and technical tests, and decreases the use of one-on-one interviews and application forms. Uncertainty avoidance increases the use of panel interviews and technical tests, and a decrease in one-on-one interviews, applications ability, and psychometric tests. Power distance leads to an increase in one-on-one interviews, applications and ability tests, and a decrease in panel interviews, psychometric tests and references.</jats:p> </jats:sec> <jats:sec> <jats:title content-type="abstract-subheading">Originality/value</jats:title> <jats:p>This paper investigates the use of the impact of national culture on selection practices. Specifically, it looks at the use of a large number of selection practices panel interviews, one-on-one interviews, applications and references, and several different tests, ability, technical and psychometric.</jats:p> </jats:sec>

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)


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


Kommentar: MaComp Mindestanforderungen an die Compliance-Funktion und die weiteren Verhaltens-, Organisations- und Transparenzpflichten nach §§ 63 ff. WpHG für Wert-papierdienstleistungsunternehmen

D. Krimphove, O. Kruse. Kommentar: MaComp Mindestanforderungen an die Compliance-Funktion und die weiteren Verhaltens-, Organisations- und Transparenzpflichten nach §§ 63 ff. WpHG für Wert-papierdienstleistungsunternehmen. 2019.

Mapping Value in Business Markets: An Integrative Framework

A. Eggert, M. Kleinaltenkamp, V. Kashyap, Industrial Marketing Management (2019), 79, pp. 13--20

Measuring Tax Complexity Across Countries: A Survey Study on MNCs

T. Hoppe, D. Schanz, S. Sturm, C. Sureth-Sloane, 2019

This paper introduces an index that captures the complexity of countries’ corporate income tax systems faced by multinational corporations. It is based on surveys of highly experienced tax consultants of the largest international tax services networks. The index, called the Tax Complexity Index (TCI), is composed of a tax code subindex covering tax regulations and a tax framework subindex covering tax processes and features. For a sample of 100 countries for the year 2016, we find that the level of tax complexity varies considerably across countries, while tax code and framework complexity also vary within countries. From a global perspective, tax complexity is strongly driven by the complexity of both transfer pricing regulations in the tax code and tax audits in the tax framework. When analyzing the associations with other country characteristics, we identify different correlation patterns. For example, tax framework complexity is negatively associated with countries’ governance, suggesting that strongly governed countries tend to have less complex tax frameworks, while tax code complexity is positively associated with the statutory tax rate, indicating that high tax countries tend to have more complex tax codes. However, none of the observed associations are very strong. We conclude that tax complexity represents a distinct country characteristic and propose the use of our TCI and its subindices in future research.

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

J. Neumann, D. Gutt, in: Proceedings of the 25th 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 27th European Conference on Information Systems (ECIS), 2019

Overcoming vulnerability: Channel design strategies to alleviate vulnerability perceptions in customer journeys

N.V. Wünderlich, J. Hogreve, I.N. Chowdhury, H. Fleischer, S. Mousavi, J. Rötzmeier-Keuper, R. Sousa, Journal of Business Research (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


Portfolio Benefits of Adding Corporate Credit Default Swap Indices: Evidence from North America and Europe

B. Hippert, A. Uhde, S.T. Wengerek, Review of Derivatives Research (2019), 22(2), pp. 203-259

Employing main and sector-specific investment-grade CDS indices from the North American and European CDS market and performing mean-variance out-of-sample analyses for conservative and aggressive investors over the period from 2006 to 2014, this paper analyzes portfolio benefits of adding corporate CDS indices to a traditional financial portfolio consisting of stock and sovereign bond indices. As a baseline result, we initially find an increase in portfolio (downside) risk-diversification when adding CDS indices, which is observed irrespective of both CDS markets, investor-types and different sub-periods, including the global financial crisis and European sovereign debt crisis. In addition, the analysis reveals higher portfolio excess returns and performance in CDS index portfolios, however, these effects clearly differ between markets, investor-types and sub-periods. Overall, portfolio benefits of adding CDS indices mainly result from the fact that institutional investors replace sovereign bond indices rather than stock indices by CDS indices due to better risk-return characteristics. Our baseline findings remain robust under a variety of robustness checks. Results from sensitivity analyses provide further important implications for institutional investors with a strategic focus on a long-term conservative portfolio management.

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.

Risk allocation through securitization – Evidence from non-performing loans

S.T. Wengerek, B. Hippert, A. Uhde, 2019

Employing a unique and hand-collected sample of 648 true sale loan securitization transactions issued by 57 stock-listed banks across the EU-12 plus Switzerland over the period from 1997 to 2010, this paper empirically analyzes the relationship between true sale loan securitization and the issuing banks' non-performing loan to total assets ratios (NPLRs). We provide evidence for an NPLR-reducing effect during the boom phase of securitizations in Europe suggesting that banks in our sample may (partly) securitize NPLs as the most risky junior tranche and do not (fully) retain NPLs as a reputation and quality signal towards less informed investors in imperfect capital markets. In contrast, we find the reverse effect during the crises period in Europe indicating that issuing banks provided credit enhancement and demonstrated `skin in the game'. Our baseline result remains robust when controlling for endogeneity concerns and a potential persistence in the time series of the NPL data. Moreover, results from a variety of sensitivity analysis reveal that the NPLR-reducing effect is stronger for opaque securitization transactions, for issuing banks exhibiting higher average levels of NPLRs and for banks operating from non-PIIGS countries. In addition, a reduction of NPLRs through securitization is observed for issued collateralized debt obligations, residential mortgage-backed securities, consumer and other unspeci ed loans as well as for non-frequently issuing, systemically less important and worse-rated banks. Our analysis offers essential insights into the loan risk allocation process through securitization and provides important implications for the vital debate on reducing NPL exposures and the process of revitalizing and regulating the European securitization market.

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


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