[{"language":[{"iso":"eng"}],"doi":"10.1108/bjm-05-2021-0188","title":"(How) do advanced data and analyses enable HR analytics success? A neo-configurational analysis","year":"2022","author":[{"first_name":"Stefan","last_name":"Strohmeier","full_name":"Strohmeier, Stefan"},{"full_name":"Collet, Julian","last_name":"Collet","first_name":"Julian"},{"full_name":"Kabst, Rüdiger","last_name":"Kabst","first_name":"Rüdiger"}],"publication_identifier":{"issn":["1746-5265"]},"date_updated":"2024-01-11T14:42:01Z","publication_status":"published","intvolume":"        17","date_created":"2024-01-11T14:41:54Z","type":"journal_article","keyword":["Management of Technology and Innovation","Marketing","Organizational Behavior and Human Resource Management","Strategy and Management","Business and International Management"],"department":[{"_id":"371"}],"publication":"Baltic Journal of Management","issue":"3","abstract":[{"lang":"eng","text":"<jats:sec><jats:title content-type=\"abstract-subheading\">Purpose</jats:title><jats:p>Enabled by increased (“big”) data stocks and advanced (“machine learning”) analyses, the concept of human resource analytics (HRA) is expected to systematically improve decisions in human resource management (HRM). Since so far empirical evidence on this is, however, lacking, the authors' study examines which combinations of data and analyses are employed and which combinations deliver on the promise of improved decision quality.</jats:p></jats:sec><jats:sec><jats:title content-type=\"abstract-subheading\">Design/methodology/approach</jats:title><jats:p>Theoretically, the paper employs a neo-configurational approach for founding and conceptualizing HRA. Methodically, based on a sample of German organizations, two varieties (crisp set and multi-value) of qualitative comparative analysis (QCA) are employed to identify combinations of data and analyses sufficient and necessary for HRA success.</jats:p></jats:sec><jats:sec><jats:title content-type=\"abstract-subheading\">Findings</jats:title><jats:p>The authors' study identifies existing configurations of data and analyses in HRM and uncovers which of these configurations cause improved decision quality. By evidencing that and which combinations of data and analyses conjuncturally cause decision quality, the authors' study provides a first confirmation of HRA success.</jats:p></jats:sec><jats:sec><jats:title content-type=\"abstract-subheading\">Research limitations/implications</jats:title><jats:p>Major limitations refer to the cross-sectional and national sample and the usage of subjective measures. Major implications are the suitability of neo-configurational approaches for future research on HRA, while deeper conceptualizing and researching both the characteristics and outcomes of HRA constitutes a core future task.</jats:p></jats:sec><jats:sec><jats:title content-type=\"abstract-subheading\">Originality/value</jats:title><jats:p>The authors' paper employs an innovative theoretical-methodical approach to explain and analyze conditions that conjuncturally cause decision quality therewith offering much needed empirical evidence on HRA success.</jats:p></jats:sec>"}],"page":"285-303","publisher":"Emerald","_id":"50463","user_id":"100439","volume":17,"status":"public","citation":{"mla":"Strohmeier, Stefan, et al. “(How) Do Advanced Data and Analyses Enable HR Analytics Success? A Neo-Configurational Analysis.” <i>Baltic Journal of Management</i>, vol. 17, no. 3, Emerald, 2022, pp. 285–303, doi:<a href=\"https://doi.org/10.1108/bjm-05-2021-0188\">10.1108/bjm-05-2021-0188</a>.","ama":"Strohmeier S, Collet J, Kabst R. (How) do advanced data and analyses enable HR analytics success? A neo-configurational analysis. <i>Baltic Journal of Management</i>. 2022;17(3):285-303. doi:<a href=\"https://doi.org/10.1108/bjm-05-2021-0188\">10.1108/bjm-05-2021-0188</a>","bibtex":"@article{Strohmeier_Collet_Kabst_2022, title={(How) do advanced data and analyses enable HR analytics success? A neo-configurational analysis}, volume={17}, DOI={<a href=\"https://doi.org/10.1108/bjm-05-2021-0188\">10.1108/bjm-05-2021-0188</a>}, number={3}, journal={Baltic Journal of Management}, publisher={Emerald}, author={Strohmeier, Stefan and Collet, Julian and Kabst, Rüdiger}, year={2022}, pages={285–303} }","apa":"Strohmeier, S., Collet, J., &#38; Kabst, R. (2022). (How) do advanced data and analyses enable HR analytics success? A neo-configurational analysis. <i>Baltic Journal of Management</i>, <i>17</i>(3), 285–303. <a href=\"https://doi.org/10.1108/bjm-05-2021-0188\">https://doi.org/10.1108/bjm-05-2021-0188</a>","ieee":"S. Strohmeier, J. Collet, and R. Kabst, “(How) do advanced data and analyses enable HR analytics success? A neo-configurational analysis,” <i>Baltic Journal of Management</i>, vol. 17, no. 3, pp. 285–303, 2022, doi: <a href=\"https://doi.org/10.1108/bjm-05-2021-0188\">10.1108/bjm-05-2021-0188</a>.","short":"S. Strohmeier, J. Collet, R. Kabst, Baltic Journal of Management 17 (2022) 285–303.","chicago":"Strohmeier, Stefan, Julian Collet, and Rüdiger Kabst. “(How) Do Advanced Data and Analyses Enable HR Analytics Success? A Neo-Configurational Analysis.” <i>Baltic Journal of Management</i> 17, no. 3 (2022): 285–303. <a href=\"https://doi.org/10.1108/bjm-05-2021-0188\">https://doi.org/10.1108/bjm-05-2021-0188</a>."}},{"doi":"10.1016/j.geb.2022.10.008","main_file_link":[{"open_access":"1","url":"https://doi.org/10.1016/j.geb.2022.10.008"}],"language":[{"iso":"eng"}],"date_updated":"2024-01-15T07:56:56Z","publication_status":"published","intvolume":"       136","article_type":"original","title":"The broken chain: Evidence against emotionally driven upstream indirect reciprocity","year":"2022","publication_identifier":{"issn":["0899-8256"]},"author":[{"full_name":"Schnedler, Wendelin","first_name":"Wendelin","last_name":"Schnedler","id":"31241"}],"type":"journal_article","keyword":["Economics and Econometrics","Finance"],"department":[{"_id":"237"}],"file":[{"date_created":"2022-12-16T15:23:08Z","creator":"wesch","success":1,"content_type":"application/pdf","file_id":"34474","access_level":"closed","file_size":1786516,"file_name":"schnedler2022.pdf","date_updated":"2022-12-16T15:23:08Z","relation":"main_file"}],"date_created":"2022-12-16T15:20:41Z","abstract":[{"lang":"eng","text":"Psychologists claim that being treated kindly puts individuals in a positive emotional state: they then treat an unrelated third party more kindly. Numerous experiments\r\ndocument that subjects indeed ‘pay forward’ specific behavior. For example, they are less generous after having experienced stinginess. This, however, is not necessarily\r\ndriven by emotions. Subjects may also imitate what they regard as socially adequate behavior. Here, I present an experiment in which imitation is not possible at the next\r\nopportunity to act with a stranger: after being given either a fun or an annoying job, subjects have to decide whether to be generous or not. I find that although subjects who are given the annoying job report more negative emotions than those with the fun job, they do not treat an unrelated third person more unkindly in terms of passing on less money.\r\n"}],"publication":"Games and Economic Behavior","ddc":["330"],"user_id":"31241","volume":136,"page":"542-558","_id":"34473","publisher":"Elsevier BV","has_accepted_license":"1","status":"public","jel":["C91","D03"],"oa":"1","quality_controlled":"1","file_date_updated":"2022-12-16T15:23:08Z","citation":{"chicago":"Schnedler, Wendelin. “The Broken Chain: Evidence against Emotionally Driven Upstream Indirect Reciprocity.” <i>Games and Economic Behavior</i> 136 (2022): 542–58. <a href=\"https://doi.org/10.1016/j.geb.2022.10.008\">https://doi.org/10.1016/j.geb.2022.10.008</a>.","short":"W. Schnedler, Games and Economic Behavior 136 (2022) 542–558.","ieee":"W. Schnedler, “The broken chain: Evidence against emotionally driven upstream indirect reciprocity,” <i>Games and Economic Behavior</i>, vol. 136, pp. 542–558, 2022, doi: <a href=\"https://doi.org/10.1016/j.geb.2022.10.008\">10.1016/j.geb.2022.10.008</a>.","apa":"Schnedler, W. (2022). The broken chain: Evidence against emotionally driven upstream indirect reciprocity. <i>Games and Economic Behavior</i>, <i>136</i>, 542–558. <a href=\"https://doi.org/10.1016/j.geb.2022.10.008\">https://doi.org/10.1016/j.geb.2022.10.008</a>","bibtex":"@article{Schnedler_2022, title={The broken chain: Evidence against emotionally driven upstream indirect reciprocity}, volume={136}, DOI={<a href=\"https://doi.org/10.1016/j.geb.2022.10.008\">10.1016/j.geb.2022.10.008</a>}, journal={Games and Economic Behavior}, publisher={Elsevier BV}, author={Schnedler, Wendelin}, year={2022}, pages={542–558} }","ama":"Schnedler W. The broken chain: Evidence against emotionally driven upstream indirect reciprocity. <i>Games and Economic Behavior</i>. 2022;136:542-558. doi:<a href=\"https://doi.org/10.1016/j.geb.2022.10.008\">10.1016/j.geb.2022.10.008</a>","mla":"Schnedler, Wendelin. “The Broken Chain: Evidence against Emotionally Driven Upstream Indirect Reciprocity.” <i>Games and Economic Behavior</i>, vol. 136, Elsevier BV, 2022, pp. 542–58, doi:<a href=\"https://doi.org/10.1016/j.geb.2022.10.008\">10.1016/j.geb.2022.10.008</a>."}},{"doi":"10.1109/bigdata55660.2022.10020933","user_id":"60721","language":[{"iso":"eng"}],"_id":"42631","publisher":"IEEE","main_file_link":[{"url":"https://ieeexplore.ieee.org/document/10020933"}],"date_updated":"2024-01-15T12:32:06Z","publication_status":"published","conference":{"name":"2022 IEEE International Conference on Big Data (Big Data)","start_date":"2022-12-17","location":"Osaka, Japan","end_date":"2022-12-20"},"author":[{"id":"60721","first_name":"Matthew","last_name":"Caron","full_name":"Caron, Matthew"}],"publication_identifier":{"eisbn":["978-1-6654-8045-1"]},"title":"Shortcut Learning in Financial Text Mining: Exposing the Overly Optimistic Performance Estimates of Text Classification Models under Distribution Shift","status":"public","year":"2022","department":[{"_id":"196"}],"type":"conference","date_created":"2023-02-28T08:29:30Z","abstract":[{"text":"In recent years, many cases of deep neural networks failing dramatically when faced with adversarial or real-world examples have been reported. Such failures, which are quite hard to detect, are often related to a generalization problem known as shortcut learning. Yet, with state-of-the-art transformer models now being ubiquitous in financial text mining, one cannot help but wonder how reliable the results conveyed in the ever-growing literature genuinely are. Against this background, we expose, in this work, how vulnerable contemporary financial text mining approaches are to shortcut learning. Focussing on the common learning task of financial sentiment classification, we assess, using two entity-based sampling strategies and our publicly-available dataset, the discrepancies between i.i.d. and o.o.d. performance estimates of four transformer models. Our results reveal that o.o.d. performance estimates are consistently weaker than those of their i.i.d. counterparts, with the error rate increasing by as much as 29.7%, thus, demonstrating how this issue can, when overlooked, lead to misleading evaluations. Moreover, we show how additional preprocessing steps, such as entity removal and vocabulary filtering, can help reduce the effects of shortcut learning by filtering out entity-related linguistic cues.","lang":"eng"}],"citation":{"apa":"Caron, M. (2022). Shortcut Learning in Financial Text Mining: Exposing the Overly Optimistic Performance Estimates of Text Classification Models under Distribution Shift. <i>2022 IEEE International Conference on Big Data (Big Data)</i>. 2022 IEEE International Conference on Big Data (Big Data), Osaka, Japan. <a href=\"https://doi.org/10.1109/bigdata55660.2022.10020933\">https://doi.org/10.1109/bigdata55660.2022.10020933</a>","ieee":"M. Caron, “Shortcut Learning in Financial Text Mining: Exposing the Overly Optimistic Performance Estimates of Text Classification Models under Distribution Shift,” presented at the 2022 IEEE International Conference on Big Data (Big Data), Osaka, Japan, 2022, doi: <a href=\"https://doi.org/10.1109/bigdata55660.2022.10020933\">10.1109/bigdata55660.2022.10020933</a>.","chicago":"Caron, Matthew. “Shortcut Learning in Financial Text Mining: Exposing the Overly Optimistic Performance Estimates of Text Classification Models under Distribution Shift.” In <i>2022 IEEE International Conference on Big Data (Big Data)</i>. IEEE, 2022. <a href=\"https://doi.org/10.1109/bigdata55660.2022.10020933\">https://doi.org/10.1109/bigdata55660.2022.10020933</a>.","short":"M. Caron, in: 2022 IEEE International Conference on Big Data (Big Data), IEEE, 2022.","mla":"Caron, Matthew. “Shortcut Learning in Financial Text Mining: Exposing the Overly Optimistic Performance Estimates of Text Classification Models under Distribution Shift.” <i>2022 IEEE International Conference on Big Data (Big Data)</i>, IEEE, 2022, doi:<a href=\"https://doi.org/10.1109/bigdata55660.2022.10020933\">10.1109/bigdata55660.2022.10020933</a>.","ama":"Caron M. Shortcut Learning in Financial Text Mining: Exposing the Overly Optimistic Performance Estimates of Text Classification Models under Distribution Shift. In: <i>2022 IEEE International Conference on Big Data (Big Data)</i>. IEEE; 2022. doi:<a href=\"https://doi.org/10.1109/bigdata55660.2022.10020933\">10.1109/bigdata55660.2022.10020933</a>","bibtex":"@inproceedings{Caron_2022, title={Shortcut Learning in Financial Text Mining: Exposing the Overly Optimistic Performance Estimates of Text Classification Models under Distribution Shift}, DOI={<a href=\"https://doi.org/10.1109/bigdata55660.2022.10020933\">10.1109/bigdata55660.2022.10020933</a>}, booktitle={2022 IEEE International Conference on Big Data (Big Data)}, publisher={IEEE}, author={Caron, Matthew}, year={2022} }"},"publication":"2022 IEEE International Conference on Big Data (Big Data)"},{"abstract":[{"lang":"eng","text":"Our world is more connected than ever before. Sadly, however, this highly connected world has made it easier to bully, insult, and propagate hate speech on the cyberspace. Even though researchers and companies alike have started investigating this real-world problem, the question remains as to why users are increasingly being exposed to hate and discrimination online. In fact, the noticeable and persistent increase in harmful language on social media platforms indicates that the situation is, actually, only getting worse. Hence, in this work, we show that contemporary ML methods can help tackle this challenge in an accurate and cost-effective manner. Our experiments demonstrate that a universal approach combining transfer learning methods and state-of-the-art Transformer architectures can trigger the efficient development of toxic language detection models. Consequently, with this universal approach, we provide platform providers with a simplistic approach capable of enabling the automated moderation of user-generated content, and as a result, hope to contribute to making the web a safer place."}],"citation":{"ama":"Caron M, Bäumer FS, Müller O. Towards Automated Moderation: Enabling Toxic Language Detection with Transfer Learning and Attention-Based Models. In: <i>55th Hawaii International Conference on System Sciences (HICSS)</i>. ; 2022.","bibtex":"@inproceedings{Caron_Bäumer_Müller_2022, title={Towards Automated Moderation: Enabling Toxic Language Detection with Transfer Learning and Attention-Based Models}, booktitle={55th Hawaii International Conference on System Sciences (HICSS)}, author={Caron, Matthew and Bäumer, Frederik S. and Müller, Oliver}, year={2022} }","mla":"Caron, Matthew, et al. “Towards Automated Moderation: Enabling Toxic Language Detection with Transfer Learning and Attention-Based Models.” <i>55th Hawaii International Conference on System Sciences (HICSS)</i>, 2022.","short":"M. Caron, F.S. Bäumer, O. Müller, in: 55th Hawaii International Conference on System Sciences (HICSS), 2022.","chicago":"Caron, Matthew, Frederik S. Bäumer, and Oliver Müller. “Towards Automated Moderation: Enabling Toxic Language Detection with Transfer Learning and Attention-Based Models.” In <i>55th Hawaii International Conference on System Sciences (HICSS)</i>, 2022.","apa":"Caron, M., Bäumer, F. S., &#38; Müller, O. (2022). Towards Automated Moderation: Enabling Toxic Language Detection with Transfer Learning and Attention-Based Models. <i>55th Hawaii International Conference on System Sciences (HICSS)</i>. 55th Hawaii International Conference on System Sciences (HICSS), Online.","ieee":"M. Caron, F. S. Bäumer, and O. Müller, “Towards Automated Moderation: Enabling Toxic Language Detection with Transfer Learning and Attention-Based Models,” presented at the 55th Hawaii International Conference on System Sciences (HICSS), Online, 2022."},"publication":"55th Hawaii International Conference on System Sciences (HICSS)","department":[{"_id":"196"}],"type":"conference","date_created":"2021-09-29T10:06:24Z","publication_status":"published","date_updated":"2024-01-15T12:37:10Z","author":[{"first_name":"Matthew","last_name":"Caron","full_name":"Caron, Matthew","id":"60721"},{"full_name":"Bäumer, Frederik S.","first_name":"Frederik S.","last_name":"Bäumer"},{"id":"72849","last_name":"Müller","first_name":"Oliver","full_name":"Müller, Oliver"}],"conference":{"end_date":"2022-01-07","location":"Online","start_date":"2022-01-03","name":"55th Hawaii International Conference on System Sciences (HICSS)"},"title":"Towards Automated Moderation: Enabling Toxic Language Detection with Transfer Learning and Attention-Based Models","year":"2022","status":"public","user_id":"60721","_id":"25113","language":[{"iso":"eng"}],"main_file_link":[{"url":"http://hdl.handle.net/10125/79428"}]},{"doi":" 10.5771/2511-8676-2022-1-2","user_id":"68445","volume":6,"page":"2-27","language":[{"iso":"eng"}],"_id":"45721","date_updated":"2024-01-15T14:10:08Z","publication_status":"published","intvolume":"         6","year":"2022","status":"public","title":"Commentaries on Relationship Marketing: The Present and Future of Customer Relationships in Services","author":[{"full_name":"Steinhoff, Lena","last_name":"Steinhoff","first_name":"Lena","id":"4336"},{"full_name":"Palmatier, R. W.","first_name":"R. W.","last_name":"Palmatier"},{"last_name":"Martin","first_name":"K. D.","full_name":"Martin, K. D."},{"full_name":"Fox, G.","last_name":"Fox","first_name":"G."},{"last_name":"Henderson","first_name":"C. M.","full_name":"Henderson, C. M."},{"last_name":"Saint Clair","first_name":"J. K.","full_name":"Saint Clair, J. K."},{"full_name":"Yan, S.","first_name":"S.","last_name":"Yan"},{"full_name":"Lee, J.-Y.","last_name":"Lee","first_name":"J.-Y."},{"first_name":"T.","last_name":"Perko","full_name":"Perko, T."},{"full_name":"Harmeling, C. M.","last_name":"Harmeling","first_name":"C. M."}],"type":"journal_article","department":[{"_id":"733"}],"date_created":"2023-06-22T16:32:06Z","publication":"Journal of Service Management Research","issue":"1","citation":{"chicago":"Steinhoff, Lena, R. W. Palmatier, K. D. Martin, G. Fox, C. M. Henderson, J. K. Saint Clair, S. Yan, J.-Y. Lee, T. Perko, and C. M. Harmeling. “Commentaries on Relationship Marketing: The Present and Future of Customer Relationships in Services.” <i>Journal of Service Management Research</i> 6, no. 1 (2022): 2–27. <a href=\"https://doi.org/ 10.5771/2511-8676-2022-1-2\">https://doi.org/ 10.5771/2511-8676-2022-1-2</a>.","short":"L. Steinhoff, R.W. Palmatier, K.D. Martin, G. Fox, C.M. Henderson, J.K. Saint Clair, S. Yan, J.-Y. Lee, T. Perko, C.M. Harmeling, Journal of Service Management Research 6 (2022) 2–27.","apa":"Steinhoff, L., Palmatier, R. W., Martin, K. D., Fox, G., Henderson, C. M., Saint Clair, J. K., Yan, S., Lee, J.-Y., Perko, T., &#38; Harmeling, C. M. (2022). Commentaries on Relationship Marketing: The Present and Future of Customer Relationships in Services. <i>Journal of Service Management Research</i>, <i>6</i>(1), 2–27. <a href=\"https://doi.org/ 10.5771/2511-8676-2022-1-2\">https://doi.org/ 10.5771/2511-8676-2022-1-2</a>","ieee":"L. Steinhoff <i>et al.</i>, “Commentaries on Relationship Marketing: The Present and Future of Customer Relationships in Services,” <i>Journal of Service Management Research</i>, vol. 6, no. 1, pp. 2–27, 2022, doi: <a href=\"https://doi.org/ 10.5771/2511-8676-2022-1-2\"> 10.5771/2511-8676-2022-1-2</a>.","ama":"Steinhoff L, Palmatier RW, Martin KD, et al. Commentaries on Relationship Marketing: The Present and Future of Customer Relationships in Services. <i>Journal of Service Management Research</i>. 2022;6(1):2-27. doi:<a href=\"https://doi.org/ 10.5771/2511-8676-2022-1-2\"> 10.5771/2511-8676-2022-1-2</a>","bibtex":"@article{Steinhoff_Palmatier_Martin_Fox_Henderson_Saint Clair_Yan_Lee_Perko_Harmeling_2022, title={Commentaries on Relationship Marketing: The Present and Future of Customer Relationships in Services}, volume={6}, DOI={<a href=\"https://doi.org/ 10.5771/2511-8676-2022-1-2\"> 10.5771/2511-8676-2022-1-2</a>}, number={1}, journal={Journal of Service Management Research}, author={Steinhoff, Lena and Palmatier, R. W. and Martin, K. D. and Fox, G. and Henderson, C. M. and Saint Clair, J. K. and Yan, S. and Lee, J.-Y. and Perko, T. and Harmeling, C. M.}, year={2022}, pages={2–27} }","mla":"Steinhoff, Lena, et al. “Commentaries on Relationship Marketing: The Present and Future of Customer Relationships in Services.” <i>Journal of Service Management Research</i>, vol. 6, no. 1, 2022, pp. 2–27, doi:<a href=\"https://doi.org/ 10.5771/2511-8676-2022-1-2\"> 10.5771/2511-8676-2022-1-2</a>."}},{"user_id":"68445","language":[{"iso":"eng"}],"_id":"45738","publication_status":"published","date_updated":"2024-01-15T15:17:21Z","author":[{"first_name":"M.","last_name":"Becker","full_name":"Becker, M."},{"last_name":"Wiegand","first_name":"N.","full_name":"Wiegand, N."},{"first_name":"Lena","last_name":"Steinhoff","full_name":"Steinhoff, Lena","id":"4336"},{"first_name":"K.","last_name":"Baidina","full_name":"Baidina, K."}],"conference":{"name":"Proceedings of the 51st European Marketing Academy (EMAC) Conference","location":"Budapest"},"title":"The Role of Self-Rewarding Behavior in Cashback Loyalty Programs","status":"public","year":"2022","department":[{"_id":"733"}],"type":"conference","date_created":"2023-06-22T16:54:51Z","citation":{"apa":"Becker, M., Wiegand, N., Steinhoff, L., &#38; Baidina, K. (2022). The Role of Self-Rewarding Behavior in Cashback Loyalty Programs. <i>Proceedings of the 51st European Marketing Academy (EMAC) Conference, Budapest.</i> Proceedings of the 51st European Marketing Academy (EMAC) Conference, Budapest.","ieee":"M. Becker, N. Wiegand, L. Steinhoff, and K. Baidina, “The Role of Self-Rewarding Behavior in Cashback Loyalty Programs,” presented at the Proceedings of the 51st European Marketing Academy (EMAC) Conference, Budapest, 2022.","short":"M. Becker, N. Wiegand, L. Steinhoff, K. Baidina, in: Proceedings of the 51st European Marketing Academy (EMAC) Conference, Budapest., 2022.","chicago":"Becker, M., N. Wiegand, Lena Steinhoff, and K. Baidina. “The Role of Self-Rewarding Behavior in Cashback Loyalty Programs.” In <i>Proceedings of the 51st European Marketing Academy (EMAC) Conference, Budapest.</i>, 2022.","mla":"Becker, M., et al. “The Role of Self-Rewarding Behavior in Cashback Loyalty Programs.” <i>Proceedings of the 51st European Marketing Academy (EMAC) Conference, Budapest.</i>, 2022.","ama":"Becker M, Wiegand N, Steinhoff L, Baidina K. The Role of Self-Rewarding Behavior in Cashback Loyalty Programs. In: <i>Proceedings of the 51st European Marketing Academy (EMAC) Conference, Budapest.</i> ; 2022.","bibtex":"@inproceedings{Becker_Wiegand_Steinhoff_Baidina_2022, title={The Role of Self-Rewarding Behavior in Cashback Loyalty Programs}, booktitle={Proceedings of the 51st European Marketing Academy (EMAC) Conference, Budapest.}, author={Becker, M. and Wiegand, N. and Steinhoff, Lena and Baidina, K.}, year={2022} }"},"publication":"Proceedings of the 51st European Marketing Academy (EMAC) Conference, Budapest."},{"oa":"1","department":[{"_id":"187"}],"type":"working_paper","date_created":"2023-01-10T11:04:32Z","citation":{"short":"R. Safaei, Transfer Pricing Rules for Intangibles: Implementation and Practical Challenges, 2022.","chicago":"Safaei, Reyhaneh. <i>Transfer Pricing Rules for Intangibles: Implementation and Practical Challenges</i>. Vol. 79. TAF Working Paper Serie, 2022.","ieee":"R. Safaei, <i>Transfer Pricing Rules for Intangibles: Implementation and Practical Challenges</i>, vol. 79. 2022.","apa":"Safaei, R. (2022). <i>Transfer Pricing Rules for Intangibles: Implementation and Practical Challenges</i> (Vol. 79).","bibtex":"@book{Safaei_2022, series={TAF Working Paper Serie}, title={Transfer Pricing Rules for Intangibles: Implementation and Practical Challenges}, volume={79}, author={Safaei, Reyhaneh}, year={2022}, collection={TAF Working Paper Serie} }","ama":"Safaei R. <i>Transfer Pricing Rules for Intangibles: Implementation and Practical Challenges</i>. 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