@article{34295, author = {{Hoppe, Julia Amelie and Tuisku, Outi and Johansson-Pajala, Rose-Marie and Pekkarinen, Satu and Hennala, Lea and Gustafsson, Christine and Melkas, Helinä and Thommes, Kirsten}}, issn = {{2451-9588}}, journal = {{Computers in Human Behavior Reports}}, keywords = {{Artificial Intelligence, Cognitive Neuroscience, Computer Science Applications, Human-Computer Interaction, Applied Psychology, Neuroscience (miscellaneous)}}, publisher = {{Elsevier BV}}, title = {{{When do individuals choose care robots over a human caregiver? Insights from a laboratory experiment on choices under uncertainty}}}, doi = {{10.1016/j.chbr.2022.100258}}, year = {{2022}}, } @article{44636, author = {{Hoppe, Julia A. and Tuisku, Outi and Johansson-Pajala, Rose-Marie and Pekkarinen, Satu and Hennala, Lea and Gustafsson, Christine and Melkas, Helinä and Thommes, Kirsten}}, issn = {{2451-9588}}, journal = {{Computers in Human Behavior Reports}}, keywords = {{Artificial Intelligence, Cognitive Neuroscience, Computer Science Applications, Human-Computer Interaction, Applied Psychology, Neuroscience (miscellaneous)}}, publisher = {{Elsevier BV}}, title = {{{When do individuals choose care robots over a human caregiver? Insights from a laboratory experiment on choices under uncertainty}}}, doi = {{10.1016/j.chbr.2022.100258}}, volume = {{9}}, year = {{2022}}, } @article{32273, author = {{Hoppe, Julia Amelie and Melkas, Helinä and Pekkarinen, Satu and Tuisku, Outi and Hennala, Lea and Johansson-Pajala, Rose-Marie and Gustafsson, Christine and Thommes, Kirsten}}, issn = {{1044-7318}}, journal = {{International Journal of Human–Computer Interaction}}, keywords = {{Computer Science Applications, Human-Computer Interaction, Human Factors and Ergonomics}}, pages = {{1--17}}, publisher = {{Informa UK Limited}}, title = {{{Perception of Society’s Trust in Care Robots by Public Opinion Leaders}}}, doi = {{10.1080/10447318.2022.2081283}}, year = {{2022}}, } @techreport{35799, author = {{Koch, Reinald and Holtmann, Svea and Giese, Henning}}, issn = {{1556-5068}}, title = {{{Losses Never Sleep - The Effect of Tax Loss Offset on Stock Market Returns during Economic Crises}}}, doi = {{10.2139/ssrn.4096944}}, volume = {{269}}, year = {{2022}}, } @inbook{49748, author = {{Betz, Stefan}}, booktitle = {{Aktuelle Fragestellungen zu Produktion, Controlling und Logistik}}, editor = {{Betz, Stefan}}, isbn = {{978-3-339-12536-1}}, pages = {{307--337}}, publisher = {{Dr. Kovac}}, title = {{{Lagerkapazitätsdimensionierung als betriebswirtschaftliches Entscheidungsproblem}}}, year = {{2022}}, } @inbook{49743, author = {{Betz, Stefan}}, booktitle = {{Aktuelle Fragestellungen zu Produktion, Controlling und Logistik}}, editor = {{Betz, Stefan}}, isbn = {{978-3-339-12536-1}}, pages = {{89--115}}, publisher = {{Dr. Kovac}}, title = {{{Strategische Erfolgsplanung für Produktinnovationen}}}, year = {{2022}}, } @techreport{49875, author = {{Giese, Henning and Koch, Reinald and Gamm, Markus}}, publisher = {{arqus}}, title = {{{Tax Avoidance and Vertical Interlocks within Multinational Enterprises}}}, doi = {{10.2139/ssrn.4137265}}, year = {{2022}}, } @techreport{49308, abstract = {{Information is one of the most important ingredients for decision-making. While the neoclassical assumption of perfect information is surely an important conceptual benchmark for discussing efficient allocations, it is obviously far from describing a rational choice under real conditions. In reality, optimal choices should be considered choices under imperfect information. Thus, decision-makers' information problem can be solved by two strategies. Either they collect an optimal set of information to make an optimal allocation choice under this imperfect information set or they can apply heuristic reasoning. In this paper, we suggest a formal model framework for the example of a simple consumer decision for the allocation of differentiated goods to explore information acquisition strategies in such a simple standard choice situation. Using the model variation under perfect information as a benchmark, we answer the following questions. First and most importantly, under imperfect information, can a heuristic rule substitute information acquisition as an optimal choice? Second, what is the role of risk aversion in the information acquisition process? Finally, we explore the differences to the benchmark, both ex ante the first purchase decision and ex post when repeated purchases and consumption allows for experiences with the choices made. }}, author = {{Burs, Carina and Gries, Thomas}}, keywords = {{information economics, imperfect information, Bayesian learning, risk, heuristics, differentiated products}}, publisher = {{ Paderborn University, CIE Center for International Economics}}, title = {{{Decision-making under Imperfect Information with Bayesian Learning or Heuristic Rules}}}, volume = {{No. 149}}, year = {{2022}}, } @article{33666, author = {{Feng, Yuanhua and Gries, Thomas and Letmathe, Sebastian and Schulz, Dominik}}, issn = {{2073-4859}}, journal = {{The R Journal}}, keywords = {{Statistics, Probability and Uncertainty, Numerical Analysis, Statistics and Probability}}, number = {{1}}, pages = {{182--195}}, publisher = {{The R Foundation}}, title = {{{The smoots Package in R for Semiparametric Modeling of Trend Stationary Time Series}}}, doi = {{10.32614/rj-2022-017}}, volume = {{14}}, year = {{2022}}, } @inproceedings{34317, author = {{Arslan, Kader and Trier, Matthias}}, booktitle = {{Proceedings of the 33rd Australasian Conference on Information Systems (ACIS 2022)}}, keywords = {{Social media, Social media marketing process, Social media strategy, Social media management, Guidelines}}, location = {{Melbourne, Australia}}, title = {{{Towards a Process Model for Social Media Marketing}}}, year = {{2022}}, }