@inproceedings{45738, author = {{Becker, M. and Wiegand, N. and Steinhoff, Lena and Baidina, K.}}, booktitle = {{Proceedings of the 51st European Marketing Academy (EMAC) Conference, Budapest.}}, location = {{Budapest}}, title = {{{The Role of Self-Rewarding Behavior in Cashback Loyalty Programs}}}, year = {{2022}}, } @article{51210, author = {{Tuisku, Outi and Johansson-Pajala, Rose-Marie and Hoppe, Julia Amelie and Pekkarinen, Satu and Hennala, Lea and Thommes, Kirsten and Gustafsson, Christine and Melkas, Helinä}}, issn = {{0144-929X}}, journal = {{Behaviour & Information Technology}}, keywords = {{Human-Computer Interaction, General Social Sciences, Arts and Humanities (miscellaneous), Developmental and Educational Psychology}}, number = {{6}}, pages = {{758--774}}, publisher = {{Informa UK Limited}}, title = {{{Assistant nurses and orientation to care robot use in three European countries}}}, doi = {{10.1080/0144929x.2022.2042736}}, volume = {{42}}, year = {{2022}}, } @article{46662, author = {{Akalan, R. and Eggert, A. and Böhm, Eva}}, journal = {{Journal of Service Management Research}}, number = {{1}}, pages = {{47--63}}, title = {{{Strategic emphasis on service-based business models during the corona crisis: Are customer solutions a curse or blessing for manufacturing firms?}}}, volume = {{6}}, year = {{2022}}, } @article{46668, author = {{Eggert, A. and Harrmann, L. and Böhm, Eva}}, journal = {{EMAC Annual Conference, Budapest, Hungary}}, location = {{Budapest, Hungary}}, title = {{{Digital technology usage as a driver of servitization paths in manufacturing industries}}}, year = {{2022}}, } @inproceedings{46669, author = {{Kessing, K. and Garnefeld, I. and Böhm, Eva}}, booktitle = {{EMAC Annual Conference, Budapest, Hungary}}, location = {{Budapest, Hungary}}, title = {{{Should manufacturers publish online reviews in their own online shops?}}}, year = {{2022}}, } @article{46661, author = {{Akalan, R. and Böhm, Eva and Eggert, A.}}, journal = {{Journal of Service Management Research}}, number = {{3}}, pages = {{204--213}}, title = {{{Servitization in the manufacturing industry: Where do we stand? Where do we come from?}}}, volume = {{6}}, year = {{2022}}, } @article{46634, author = {{Alavi, Sascha and Böhm, Eva and Habel, Johannes and Wieseke, Jan and Schmitz, Christian and Brüggemann, Felix}}, issn = {{0737-6782}}, journal = {{Journal of Product Innovation Management}}, keywords = {{Management of Technology and Innovation, Strategy and Management}}, number = {{3}}, pages = {{445--463}}, publisher = {{Wiley}}, title = {{{The ambivalent role of monetary sales incentives in service innovation selling}}}, doi = {{10.1111/jpim.12600}}, volume = {{39}}, year = {{2022}}, } @article{56160, abstract = {{Forschungsfrage: Welche Arbeitgeber- und Jobmerkmale beeinflussen die Weiterempfehlungsbereitschaft von Mitarbeitern und welche Rolle spielt die Arbeitsplatzgestaltung dabei? Methodik: Auswertung eines Datensatzes des „Kununu Best Workplace Award“ anhand eines Strukturgleichungsmodells und einer thematischen Inhaltsanalyse. Praktische Implikationen: Ansatzpunkte für die Weiterempfehlungsbereitschaft bilden überwiegend weiche Faktoren wie die Arbeitsatmosphäre. Diese entsteht insbesondere durch Kollegialität und geringe physische und emotionale Belastung. Arbeitsplatzmerkmale weisen besonders in ihrer ganzheitlichen Betrachtung ein hohes Potenzial auf.}}, author = {{Radermacher, Katharina and Herdejürgen, Enja Marie}}, journal = {{PERSONALquarterly}}, number = {{1}}, pages = {{24--33}}, title = {{{ Erkenntnisse von Arbeitgeberbewertungen: Potenzial von Atmosphäre und Arbeitsplätzen}}}, volume = {{74}}, year = {{2022}}, } @techreport{56163, author = {{Radermacher, Katharina and Herdejürgen, Enja Marie}}, pages = {{24}}, publisher = {{Industrieverband Büro und Arbeitswelt e.V. (IBA)}}, title = {{{Erkenntnisse aus Arbeitgeberbewertungen: Das Potential von Arbeitsatmosphäre und Arbeitsplatzgestaltung für die Weiterempfehlungsbereitschaft}}}, year = {{2022}}, } @inproceedings{45737, author = {{Alberternst, B. and Steinhoff, Lena and Eggert, A. and Giesler, M.}}, booktitle = {{2022 AMA Summer Academic Conference Proceedings, Chicago}}, location = {{Chicago}}, title = {{{Theorizing Marketplace Solidarity Systems: From Consumer–Firm Dyads to Structures of Mutual Support}}}, year = {{2022}}, } @inproceedings{45739, author = {{Garnefeld, I. and Steinhoff, Lena and Küpper, K.}}, booktitle = {{2022 AMA Winter Academic Conference Proceedings, Las Vegas}}, location = {{Las Vegas}}, title = {{{How Do I Tell Them? Analyzing Companies' Provision of Rejection Reasons in Product Testing Programs}}}, year = {{2022}}, } @article{63778, author = {{Tuisku, Outi and Johansson-Pajala, Rose-Marie and Hoppe, Julia Amelie and Pekkarinen, Satu and Hennala, Lea and Thommes, Kirsten and Gustafsson, Christine and Melkas, Helinä}}, issn = {{0144-929X}}, journal = {{Behaviour & Information Technology}}, number = {{6}}, pages = {{758--774}}, publisher = {{Informa UK Limited}}, title = {{{Assistant nurses and orientation to care robot use in three European countries}}}, doi = {{10.1080/0144929x.2022.2042736}}, volume = {{42}}, year = {{2022}}, } @article{44638, 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}}, volume = {{9}}, year = {{2022}}, } @article{46660, author = {{Böhm, Eva and Eggert, A. and Garnefeld, I. and Holzmüller, H. and Schaefers, T and Steinhoff, Lena and Woisetschläger, D.}}, journal = {{SMR - Journal of Service Management Research}}, number = {{4}}, pages = {{216--231}}, title = {{{Exploring the customer journey of voice commerce: A research agenda}}}, volume = {{6}}, year = {{2022}}, } @inproceedings{34283, author = {{Gutt, Jana Kim and Thommes, Kirsten}}, booktitle = {{Academy of Management Proceedings}}, title = {{{Speaking of Performance: Evaluating Team Members’ Performance with Open-Ended Audio Comments}}}, doi = {{https://doi.org/10.5465/AMBPP.2022.16394abstract}}, year = {{2022}}, } @phdthesis{24886, author = {{van Straaten, Dirk}}, title = {{{Inferring Quality with Reputation Systems - Experimental Evidence on Elicitation Mechanisms and Aggregation Metrics}}}, doi = {{10.17619/UNIPB/1-1189 }}, year = {{2021}}, } @inbook{24371, author = {{Krebs, Benjamin and Wehner, Marius Claus}}, booktitle = {{The Routledge companion to talent management}}, editor = {{Tarique, Ibraiz}}, pages = {{539--555}}, publisher = {{Routledge}}, title = {{{The relationship between talent management and individual and organizational performance}}}, year = {{2021}}, } @inbook{24375, author = {{Wach, Bernhard and Krebs, Benjamin and Kabst, Rüdiger}}, booktitle = {{HR-Trends 2021}}, editor = {{Schwuchow, K. and Gutmann, J.}}, publisher = {{Haufe-Lexware}}, title = {{{HR-Manager als Intrapreneure}}}, year = {{2021}}, } @article{24456, abstract = {{One objective of current research in explainable intelligent systems is to implement social aspects in order to increase the relevance of explanations. In this paper, we argue that a novel conceptual framework is needed to overcome shortcomings of existing AI systems with little attention to processes of interaction and learning. Drawing from research in interaction and development, we first outline the novel conceptual framework that pushes the design of AI systems toward true interactivity with an emphasis on the role of the partner and social relevance. We propose that AI systems will be able to provide a meaningful and relevant explanation only if the process of explaining is extended to active contribution of both partners that brings about dynamics that is modulated by different levels of analysis. Accordingly, our conceptual framework comprises monitoring and scaffolding as key concepts and claims that the process of explaining is not only modulated by the interaction between explainee and explainer but is embedded into a larger social context in which conventionalized and routinized behaviors are established. We discuss our conceptual framework in relation to the established objectives of transparency and autonomy that are raised for the design of explainable AI systems currently.}}, author = {{Rohlfing, Katharina J. and Cimiano, Philipp and Scharlau, Ingrid and Matzner, Tobias and Buhl, Heike M. and Buschmeier, Hendrik and Esposito, Elena and Grimminger, Angela and Hammer, Barbara and Haeb-Umbach, Reinhold and Horwath, Ilona and Hüllermeier, Eyke and Kern, Friederike and Kopp, Stefan and Thommes, Kirsten and Ngonga Ngomo, Axel-Cyrille and Schulte, Carsten and Wachsmuth, Henning and Wagner, Petra and Wrede, Britta}}, issn = {{2379-8920}}, journal = {{IEEE Transactions on Cognitive and Developmental Systems}}, keywords = {{Explainability, process ofexplaining andunderstanding, explainable artificial systems}}, number = {{3}}, pages = {{717--728}}, title = {{{Explanation as a Social Practice: Toward a Conceptual Framework for the Social Design of AI Systems}}}, doi = {{10.1109/tcds.2020.3044366}}, volume = {{13}}, year = {{2021}}, } @article{45724, author = {{Henderson, C. M. and Steinhoff, Lena and Harmeling, C. M. and Palmatier, R. W.}}, journal = {{Journal of the Academy of Marketing Science}}, number = {{2}}, pages = {{350--373}}, title = {{{Customer Inertia Marketing}}}, doi = {{http://dx.doi.org/10.1007/s11747-020-00744-0}}, volume = {{49}}, year = {{2021}}, }