@article{15022,
  author       = {{Schryen, Guido}},
  journal      = {{European Journal of Operational Research}},
  number       = {{1}},
  pages        = {{1 -- 18}},
  publisher    = {{Elsevier}},
  title        = {{{Parallel computational optimization in operations research: A new integrative framework, literature review and research directions}}},
  volume       = {{287}},
  year         = {{2020}},
}

@inproceedings{15210,
  author       = {{Seutter, Janina and Neumann, Jürgen and Kundisch, Dennis}},
  booktitle    = {{Tagungsband der 15. Internationalen Tagung Wirtschaftsinformatik 2020 (WI)}},
  location     = {{Potsdam, Germany}},
  title        = {{{Nudging in Judging- Differences in Online Rating Behavior for Utilitarian and Hedonic Service Aspects}}},
  year         = {{2020}},
}

@inproceedings{15211,
  author       = {{Szopinski, Daniel and Schoormann, Thorsten and Kundisch, Dennis}},
  booktitle    = {{Tagungsband der 15. Internationalen Tagung Wirtschaftsinformatik 2020 (WI)}},
  location     = {{Potsdam, Germany}},
  title        = {{{Visualize different: Towards researching the fit between taxonomy visualizations and taxonomy tasks}}},
  year         = {{2020}},
}

@inproceedings{15225,
  author       = {{Poniatowski, Martin and Neumann, Jürgen}},
  booktitle    = {{Tagungsband der 15. Internationalen Tagung Wirtschaftsinformatik 2020 (WI)}},
  location     = {{Potsdam, Germany}},
  title        = {{{You Write What You Are - Exploring the Relationship between Online Reviewers' Personality Traits and Their Reviewing Behavior}}},
  year         = {{2020}},
}

@article{16095,
  author       = {{Krimphove, Dieter}},
  issn         = {{0034-1398}},
  journal      = {{Rechtstheorie}},
  number       = {{1}},
  pages        = {{107--113}},
  publisher    = {{Duncker&Humblot}},
  title        = {{{Die „Logik“ der Überzeugungskraft}}},
  volume       = {{50}},
  year         = {{2020}},
}

@inproceedings{16116,
  author       = {{Purrmann, Maren and Wünderlich, Nancy}},
  booktitle    = {{Proceedings of the 2020 AMA Winter Academic Conference}},
  location     = {{San Diego, CA, USA}},
  title        = {{{How to Build Trust on Peer-to-Peer Platforms: An Investigation of the Antecedents of Peer and Platform Trust}}},
  year         = {{2020}},
}

@article{16249,
  abstract     = {{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.}},
  author       = {{Szubartowicz, Eva and Schryen, Guido}},
  journal      = {{Journal of Information System Security}},
  keywords     = {{Event Study, Information Security, Investment Announcements, Stock Price Reaction, Value of Information Security Investments}},
  number       = {{1}},
  pages        = {{3 -- 31}},
  publisher    = {{Information Institute Publishing, Washington DC, USA}},
  title        = {{{Timing in Information Security: An Event Study on the Impact of Information Security Investment Announcements}}},
  volume       = {{16}},
  year         = {{2020}},
}

@article{16273,
  abstract     = {{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.}},
  author       = {{Hoyer, Britta and van Huizen, Thomas and Keijzer, Linda  and Rezaei, Sarah  and Rosenkranz, Stephanie and Westbrock, Bastian }},
  journal      = {{Labour Economics}},
  title        = {{{Gender, competitiveness, and task difficulty: Evidence from the field}}},
  doi          = {{10.1016/j.labeco.2020.101815}},
  year         = {{2020}},
}

@inproceedings{16285,
  abstract     = {{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.}},
  author       = {{zur Heiden, Philipp and Berendes, Carsten Ingo and Beverungen, Daniel}},
  booktitle    = {{Proceedings of the 15th International Conference on Wirtschaftsinformatik}},
  keywords     = {{Town Center Management, High Street Retail, Recommender Systems, Geospatial Recommendations, Design Science Research}},
  location     = {{Potsdam}},
  title        = {{{Designing City Center Area Recommendation Systems }}},
  doi          = {{doi.org/10.30844/wi_2020_e1-heiden}},
  year         = {{2020}},
}

@inproceedings{16300,
  author       = {{Wolf, Verena and Bartelheimer, Christian}},
  booktitle    = {{16th International Research Conference in Service Management}},
  location     = {{ La Londe les Maures}},
  title        = {{{Transformation of Actors’ Roles in Service Systems: A Multi-Level Analysis }}},
  year         = {{2020}},
}

@article{16334,
  abstract     = {{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.}},
  author       = {{Hoyer, Britta and Stroh-Maraun, Nadja}},
  journal      = {{Games and Economic Behavior}},
  pages        = {{453 -- 481}},
  title        = {{{Matching Strategies of Heterogeneous Agents under Incomplete Information in a University Clearinghouse}}},
  doi          = {{10.1016/j.geb.2020.03.006}},
  volume       = {{121}},
  year         = {{2020}},
}

@inproceedings{13584,
  author       = {{Szopinski, Daniel and Schoormann, Thorsten and Kundisch, Dennis}},
  booktitle    = {{Proceedings of the 53rd Hawaii International Conference on System Sciences (HICSS)}},
  location     = {{Maui, Hawaii}},
  title        = {{{Criteria as a prelude for guiding taxonomy evaluation}}},
  year         = {{2020}},
}

@article{30234,
  author       = {{Schmitz, Hendrik and Stroka‐Wetsch, Magdalena A.}},
  issn         = {{1057-9230}},
  journal      = {{Health Economics}},
  keywords     = {{Health Policy}},
  number       = {{7}},
  pages        = {{766--777}},
  publisher    = {{Wiley}},
  title        = {{{Determinants of nursing home choice: Does reported quality matter?}}},
  doi          = {{10.1002/hec.4018}},
  volume       = {{29}},
  year         = {{2020}},
}

@article{21128,
  author       = {{Thommes, Kirsten and Johansson-Pajala, Rose-Marie and Gustaffson, Christine and Pekkarinen, Satu and Tuisku, Outi and Hennala, Lea and Melkas, Helinä and Hoppe, Julia Amelie}},
  issn         = {{1569-1101}},
  journal      = {{Gerontechnology}},
  title        = {{{Trust development in care robots by opinion leader in the society}}},
  doi          = {{10.4017/gt.2020.19.s.70024.4}},
  year         = {{2020}},
}

@article{17854,
  author       = {{Goldbach, Carina and Hoffmann, Christin and Hoppe, Julia Amelie and Pitz, Thomas and Thommes, Kirsten}},
  journal      = {{PloS ONE}},
  number       = {{7}},
  title        = {{{The fast and the furious—An experimental investigation of the pace of life and risky speed choice in traffic}}},
  doi          = {{https://doi.org/10.1371/journal.pone.0236589}},
  volume       = {{15 }},
  year         = {{2020}},
}

@article{17857,
  author       = {{Pekkarinen, Satu and Hennala, Lea and Tuisku, Outi and Gustafsson, Christine and Johansson-Pajala, Rose-Marie and Thommes, Kirsten and Hoppe, Julia Amelie and Melkas, Helina}},
  journal      = {{Futures}},
  title        = {{{Embedding care robots into society and practice: Socio-technical considerations}}},
  doi          = {{https://doi.org/10.1016/j.futures.2020.102593}},
  volume       = {{122}},
  year         = {{2020}},
}

@article{31802,
  abstract     = {{<jats:p> Much work on innovation strategy assumes or theorizes that competition in innovation elicits duplication of research and that disclosure decreases such duplication. We validate this empirically using the American Inventors Protection Act (AIPA), three complementary identification strategies, and a new measure of blocked future patent applications. We show that AIPA—intended to reduce duplication, through default disclosure of patent applications 18 months after filing—reduced duplication in the U.S. and European patent systems. The blocking measure provides a clear and micro measure of technological competition that can be aggregated to facilitate the empirical investigation of innovation, firm strategy, and the positive and negative externalities of patenting. </jats:p><jats:p> This paper was accepted by Joshua Gans, business strategy. </jats:p>}},
  author       = {{Lück, Sonja and Balsmeier, Benjamin and Seliger, Florian and Fleming, Lee}},
  issn         = {{0025-1909}},
  journal      = {{Management Science}},
  keywords     = {{Management Science and Operations Research, Strategy and Management}},
  number       = {{6}},
  pages        = {{2677--2685}},
  publisher    = {{Institute for Operations Research and the Management Sciences (INFORMS)}},
  title        = {{{Early Disclosure of Invention and Reduced Duplication: An Empirical Test}}},
  doi          = {{10.1287/mnsc.2019.3521}},
  volume       = {{66}},
  year         = {{2020}},
}

@article{11946,
  abstract     = {{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.}},
  author       = {{Schryen, Guido and Wagner, Gerit and Benlian, Alexander and Paré, Guy}},
  issn         = {{ 1529-3181}},
  journal      = {{Communications of the AIS}},
  keywords     = {{Literature review, knowledge development, knowledge building activities, knowledge-based typology, information systems research}},
  pages        = {{134--186}},
  title        = {{{A Knowledge Development Perspective on Literature Reviews: Validation of a New Typology in the IS Field}}},
  doi          = {{10.17705/1CAIS.04607}},
  volume       = {{46}},
  year         = {{2020}},
}

@article{14985,
  author       = {{Schryen, Guido and Kliewer, Natalia and Fink, Andreas}},
  journal      = {{Business & Information Systems Engineering}},
  number       = {{1}},
  pages        = {{1--3}},
  title        = {{{High Performance Business Computing}}},
  doi          = {{10.1007/s12599-019-00622-2}},
  volume       = {{62}},
  year         = {{2020}},
}

@article{34115,
  author       = {{Haake, Claus-Jochen and Trockel, Walter}},
  issn         = {{0943-0180}},
  journal      = {{Homo Oeconomicus}},
  keywords     = {{Industrial and Manufacturing Engineering, Environmental Engineering}},
  number       = {{1-2}},
  pages        = {{1--6}},
  publisher    = {{Springer Science and Business Media LLC}},
  title        = {{{Introduction to the Special Issue “Bargaining”}}},
  doi          = {{10.1007/s41412-020-00104-x}},
  volume       = {{37}},
  year         = {{2020}},
}

