[{"date_updated":"2023-01-12T05:32:16Z","conference":{"name":"53th Annual Hawaii International Conference on System Sciences (HICSS-53)"},"author":[{"last_name":"Kucklick","first_name":"Jan-Peter","full_name":"Kucklick, Jan-Peter","id":"77066"},{"first_name":"Michael Reiner","last_name":"Kamm","full_name":"Kamm, Michael Reiner"},{"last_name":"Schneider","first_name":"Johannes","full_name":"Schneider, Johannes"},{"full_name":"vom Brocke, Jan","last_name":"vom Brocke","first_name":"Jan"}],"title":"Extending Loyalty Programs with BI Functionalities A Case Study for Brick-and-Mortar Stores","year":"2020","status":"public","user_id":"77066","language":[{"iso":"eng"}],"_id":"35660","main_file_link":[{"url":"https://scholarspace.manoa.hawaii.edu/server/api/core/bitstreams/335317f1-8fb6-4561-9faa-27e6a7d29771/content"}],"abstract":[{"text":"Effective customer loyalty programs are essential for every company. Small and medium sized brick-and- mortar stores, such as bakeries, butcher and flower shops, often share a common overarching loyalty program, organized by a third-party provider. Furthermore, these small shops have limited resources and often cannot afford complex BI tools. Out of these reasons we investigated how traditional brick-and- mortar stores can benefit from an expansion of service functionalities of a loyalty card provider. To answer this question, we cooperated with a cross-industry customer loyalty program in a polycentric region. The loyalty program was transformed from simple card-based solution to a mobile app for customers and a web- application for shop owners. The new solution offers additional BI services for performing data analytics and strengthening the position of brick-and-mortar stores. Participating shops can work together in order to increase sales and align marketing campaigns. Therefore, shopping data from 12 years, 55 shops, and 19,000 customers was analyzed.","lang":"eng"}],"citation":{"ieee":"J.-P. Kucklick, M. R. Kamm, J. Schneider, and J. vom Brocke, “Extending Loyalty Programs with BI Functionalities A Case Study for Brick-and-Mortar Stores,” presented at the 53th Annual Hawaii International Conference on System Sciences (HICSS-53), 2020.","mla":"Kucklick, Jan-Peter, et al. “Extending Loyalty Programs with BI Functionalities A Case Study for Brick-and-Mortar Stores.” <i>Proceedings of the 53rd Hawaii International Conference on System Sciences</i>, 2020.","apa":"Kucklick, J.-P., Kamm, M. R., Schneider, J., &#38; vom Brocke, J. (2020). Extending Loyalty Programs with BI Functionalities A Case Study for Brick-and-Mortar Stores. <i>Proceedings of the 53rd Hawaii International Conference on System Sciences</i>. 53th Annual Hawaii International Conference on System Sciences (HICSS-53).","bibtex":"@inproceedings{Kucklick_Kamm_Schneider_vom Brocke_2020, title={Extending Loyalty Programs with BI Functionalities A Case Study for Brick-and-Mortar Stores}, booktitle={Proceedings of the 53rd Hawaii International Conference on System Sciences}, author={Kucklick, Jan-Peter and Kamm, Michael Reiner and Schneider, Johannes and vom Brocke, Jan}, year={2020} }","chicago":"Kucklick, Jan-Peter, Michael Reiner Kamm, Johannes Schneider, and Jan vom Brocke. “Extending Loyalty Programs with BI Functionalities A Case Study for Brick-and-Mortar Stores.” In <i>Proceedings of the 53rd Hawaii International Conference on System Sciences</i>, 2020.","short":"J.-P. Kucklick, M.R. Kamm, J. Schneider, J. vom Brocke, in: Proceedings of the 53rd Hawaii International Conference on System Sciences, 2020.","ama":"Kucklick J-P, Kamm MR, Schneider J, vom Brocke J. Extending Loyalty Programs with BI Functionalities A Case Study for Brick-and-Mortar Stores. In: <i>Proceedings of the 53rd Hawaii International Conference on System Sciences</i>. ; 2020."},"publication":"Proceedings of the 53rd Hawaii International Conference on System Sciences","department":[{"_id":"195"},{"_id":"196"}],"type":"conference","keyword":["brick-and-mortar stores","business intelligence","case study","loyalty program"],"date_created":"2023-01-10T08:39:45Z"},{"citation":{"chicago":"Kamm, Michael Reiner, Jan-Peter Kucklick, Johannes Schneider, and Jan vom Brocke. “Data Mining for Small Shops: Empowering Brick-and-Mortar Stores through BI Functionalities of a Loyalty Program1.” <i>Information Systems Management</i> 38, no. 4 (2020): 270–86. <a href=\"https://doi.org/10.1080/10580530.2020.1855486\">https://doi.org/10.1080/10580530.2020.1855486</a>.","short":"M.R. Kamm, J.-P. Kucklick, J. Schneider, J. vom Brocke, Information Systems Management 38 (2020) 270–286.","ieee":"M. R. Kamm, J.-P. Kucklick, J. Schneider, and J. vom Brocke, “Data mining for small shops: Empowering brick-and-mortar stores through BI functionalities of a loyalty program1,” <i>Information Systems Management</i>, vol. 38, no. 4, pp. 270–286, 2020, doi: <a href=\"https://doi.org/10.1080/10580530.2020.1855486\">10.1080/10580530.2020.1855486</a>.","apa":"Kamm, M. R., Kucklick, J.-P., Schneider, J., &#38; vom Brocke, J. (2020). Data mining for small shops: Empowering brick-and-mortar stores through BI functionalities of a loyalty program1. <i>Information Systems Management</i>, <i>38</i>(4), 270–286. <a href=\"https://doi.org/10.1080/10580530.2020.1855486\">https://doi.org/10.1080/10580530.2020.1855486</a>","bibtex":"@article{Kamm_Kucklick_Schneider_vom Brocke_2020, title={Data mining for small shops: Empowering brick-and-mortar stores through BI functionalities of a loyalty program1}, volume={38}, DOI={<a href=\"https://doi.org/10.1080/10580530.2020.1855486\">10.1080/10580530.2020.1855486</a>}, number={4}, journal={Information Systems Management}, publisher={Informa UK Limited}, author={Kamm, Michael Reiner and Kucklick, Jan-Peter and Schneider, Johannes and vom Brocke, Jan}, year={2020}, pages={270–286} }","ama":"Kamm MR, Kucklick J-P, Schneider J, vom Brocke J. Data mining for small shops: Empowering brick-and-mortar stores through BI functionalities of a loyalty program1. <i>Information Systems Management</i>. 2020;38(4):270-286. doi:<a href=\"https://doi.org/10.1080/10580530.2020.1855486\">10.1080/10580530.2020.1855486</a>","mla":"Kamm, Michael Reiner, et al. “Data Mining for Small Shops: Empowering Brick-and-Mortar Stores through BI Functionalities of a Loyalty Program1.” <i>Information Systems Management</i>, vol. 38, no. 4, Informa UK Limited, 2020, pp. 270–86, doi:<a href=\"https://doi.org/10.1080/10580530.2020.1855486\">10.1080/10580530.2020.1855486</a>."},"user_id":"77066","volume":38,"page":"270-286","_id":"35662","publisher":"Informa UK Limited","status":"public","keyword":["Customer loyalty","case study","brick-and-mortar stores","business intelligence","loyalty programs"],"type":"journal_article","department":[{"_id":"195"},{"_id":"196"}],"date_created":"2023-01-10T08:40:31Z","abstract":[{"text":"While the analysis and usage of data are increasing in importance, the application of sophisticated BI solutions in small stores is limited by available technical capabilities and financial resources. This study investigates how brick-and-mortar stores can benefit from an expansion of service functionalities of a cross-industry loyalty card provider. Digitalizing the loyalty program created new opportunities, while the analysis of shopping data of 13 years, 19,000 customers, and 55 shops empowered data-based decision support.","lang":"eng"}],"publication":"Information Systems Management","issue":"4","doi":"10.1080/10580530.2020.1855486","main_file_link":[{"url":"https://www.tandfonline.com/doi/full/10.1080/10580530.2020.1855486"}],"language":[{"iso":"eng"}],"publication_status":"published","date_updated":"2023-01-12T06:46:46Z","intvolume":"        38","year":"2020","title":"Data mining for small shops: Empowering brick-and-mortar stores through BI functionalities of a loyalty program1","publication_identifier":{"issn":["1058-0530","1934-8703"]},"author":[{"full_name":"Kamm, Michael Reiner","last_name":"Kamm","first_name":"Michael Reiner"},{"id":"77066","full_name":"Kucklick, Jan-Peter","last_name":"Kucklick","first_name":"Jan-Peter"},{"full_name":"Schneider, Johannes","last_name":"Schneider","first_name":"Johannes"},{"full_name":"vom Brocke, Jan","last_name":"vom Brocke","first_name":"Jan"}]},{"publication_status":"published","date_updated":"2024-01-15T12:32:37Z","author":[{"full_name":"Caron, Matthew","last_name":"Caron","first_name":"Matthew","id":"60721"},{"first_name":"Oliver","last_name":"Müller","full_name":"Müller, Oliver","id":"72849"}],"publication_identifier":{"eisbn":["978-1-7281-6251-5"]},"conference":{"end_date":"2020-12-13","location":"Online","name":"2020 IEEE International Conference on Big Data (Big Data)","start_date":"2020-12-10"},"year":"2020","title":"Hardening Soft Information: A Transformer-Based Approach to Forecasting Stock Return Volatility","status":"public","user_id":"60721","doi":"10.1109/BigData50022.2020.9378134","language":[{"iso":"eng"}],"_id":"21563","page":"4383-4391","main_file_link":[{"url":"https://ieeexplore.ieee.org/document/9378134"}],"abstract":[{"text":"Historically, the field of financial forecasting almost exclusively relied on so-called hard information – i.e., numerical data with well-defined and unambiguous meaning. Over the last few decades, however, researchers and practitioners alike have, following the advances in natural language understanding, started recognizing the benefits of integrating soft information into financial modelling. In line with the above, this paper examines whether contemporary attention-based sequence-to-sequence models, known as Transformers, can help improve stock return volatility prediction when applied to corporate annual reports. Using a publicly available benchmark dataset, we show, in an empirical analysis, that out-of-the-box Transformer models have the ability to outmatch current state-of-the-art results and, more importantly, that our proposed feature-based Transformer approach can outperform a robust numerical baseline. To the best of our knowledge, this is the first empirical study focusing on stock return volatility prediction (1) to ever experiment with state-of-the-art Transformer architectures and (2) to demonstrate that a model based solely on soft information can surpass its numerical counterpart. Furthermore, we show that by including an additional numerical feature into our best text-only model, we can push the performance of our model even further, suggesting that soft and hard information contain different predictive signals.","lang":"eng"}],"citation":{"ama":"Caron M, Müller O. Hardening Soft Information: A Transformer-Based Approach to Forecasting Stock Return Volatility. In: <i>2020 IEEE International Conference on Big Data (Big Data)</i>. ; 2020:4383-4391. doi:<a href=\"https://doi.org/10.1109/BigData50022.2020.9378134\">10.1109/BigData50022.2020.9378134</a>","bibtex":"@inproceedings{Caron_Müller_2020, title={Hardening Soft Information: A Transformer-Based Approach to Forecasting Stock Return Volatility}, DOI={<a href=\"https://doi.org/10.1109/BigData50022.2020.9378134\">10.1109/BigData50022.2020.9378134</a>}, booktitle={2020 IEEE International Conference on Big Data (Big Data)}, author={Caron, Matthew and Müller, Oliver}, year={2020}, pages={4383–4391} }","mla":"Caron, Matthew, and Oliver Müller. “Hardening Soft Information: A Transformer-Based Approach to Forecasting Stock Return Volatility.” <i>2020 IEEE International Conference on Big Data (Big Data)</i>, 2020, pp. 4383–91, doi:<a href=\"https://doi.org/10.1109/BigData50022.2020.9378134\">10.1109/BigData50022.2020.9378134</a>.","chicago":"Caron, Matthew, and Oliver Müller. “Hardening Soft Information: A Transformer-Based Approach to Forecasting Stock Return Volatility.” In <i>2020 IEEE International Conference on Big Data (Big Data)</i>, 4383–91, 2020. <a href=\"https://doi.org/10.1109/BigData50022.2020.9378134\">https://doi.org/10.1109/BigData50022.2020.9378134</a>.","short":"M. Caron, O. Müller, in: 2020 IEEE International Conference on Big Data (Big Data), 2020, pp. 4383–4391.","apa":"Caron, M., &#38; Müller, O. (2020). Hardening Soft Information: A Transformer-Based Approach to Forecasting Stock Return Volatility. <i>2020 IEEE International Conference on Big Data (Big Data)</i>, 4383–4391. <a href=\"https://doi.org/10.1109/BigData50022.2020.9378134\">https://doi.org/10.1109/BigData50022.2020.9378134</a>","ieee":"M. Caron and O. Müller, “Hardening Soft Information: A Transformer-Based Approach to Forecasting Stock Return Volatility,” in <i>2020 IEEE International Conference on Big Data (Big Data)</i>, Online, 2020, pp. 4383–4391, doi: <a href=\"https://doi.org/10.1109/BigData50022.2020.9378134\">10.1109/BigData50022.2020.9378134</a>."},"publication":"2020 IEEE International Conference on Big Data (Big Data)","department":[{"_id":"196"}],"type":"conference","date_created":"2021-03-24T13:09:55Z"},{"quality_controlled":"1","project":[{"call_identifier":"MSCA-RISE-2014","grant_number":"645751","_id":"1070","name":"RISE_BPM: Propelling Business Process Management by Research and Innovation Staff Exchange"}],"file_date_updated":"2024-04-18T12:49:25Z","citation":{"bibtex":"@article{Beverungen_Buijs_Becker_Di Ciccio_van der Aalst_Bartelheimer_vom Brocke_Comuzzi_Kraume_Leopold_et al._2020, title={Seven Paradoxes of Business Process Management in a Hyper-Connected World}, volume={63}, DOI={<a href=\"https://doi.org/10.1007/s12599-020-00646-z\">10.1007/s12599-020-00646-z</a>}, journal={Business &#38; Information Systems Engineering}, publisher={SpringerNature}, author={Beverungen, Daniel and Buijs, Joos C. A. M. and Becker, Jörg and Di Ciccio, Claudio and van der Aalst, Wil M. P. and Bartelheimer, Christian and vom Brocke, Jan and Comuzzi, Marco and Kraume, Karsten and Leopold, Henrik and et al.}, year={2020}, pages={145–156} }","ama":"Beverungen D, Buijs JCAM, Becker J, et al. Seven Paradoxes of Business Process Management in a Hyper-Connected World. <i>Business &#38; Information Systems Engineering</i>. 2020;63:145-156. doi:<a href=\"https://doi.org/10.1007/s12599-020-00646-z\">10.1007/s12599-020-00646-z</a>","mla":"Beverungen, Daniel, et al. “Seven Paradoxes of Business Process Management in a Hyper-Connected World.” <i>Business &#38; Information Systems Engineering</i>, vol. 63, SpringerNature, 2020, pp. 145–56, doi:<a href=\"https://doi.org/10.1007/s12599-020-00646-z\">10.1007/s12599-020-00646-z</a>.","short":"D. Beverungen, J.C.A.M. Buijs, J. Becker, C. Di Ciccio, W.M.P. van der Aalst, C. Bartelheimer, J. vom Brocke, M. Comuzzi, K. Kraume, H. Leopold, M. Matzner, J. Mendling, N. Ogonek, T. Post, M. Resinas, K. Revoredo, A. del-Río-Ortega, M. La Rosa, F.M. Santoro, A. Solti, M. Song, A. Stein, M. Stierle, V. Wolf, Business &#38; Information Systems Engineering 63 (2020) 145–156.","chicago":"Beverungen, Daniel, Joos C. A. M. Buijs, Jörg Becker, Claudio Di Ciccio, Wil M. P. van der Aalst, Christian Bartelheimer, Jan vom Brocke, et al. “Seven Paradoxes of Business Process Management in a Hyper-Connected World.” <i>Business &#38; Information Systems Engineering</i> 63 (2020): 145–56. <a href=\"https://doi.org/10.1007/s12599-020-00646-z\">https://doi.org/10.1007/s12599-020-00646-z</a>.","ieee":"D. Beverungen <i>et al.</i>, “Seven Paradoxes of Business Process Management in a Hyper-Connected World,” <i>Business &#38; Information Systems Engineering</i>, vol. 63, pp. 145–156, 2020, doi: <a href=\"https://doi.org/10.1007/s12599-020-00646-z\">10.1007/s12599-020-00646-z</a>.","apa":"Beverungen, D., Buijs, J. C. A. M., Becker, J., Di Ciccio, C., van der Aalst, W. M. P., Bartelheimer, C., vom Brocke, J., Comuzzi, M., Kraume, K., Leopold, H., Matzner, M., Mendling, J., Ogonek, N., Post, T., Resinas, M., Revoredo, K., del-Río-Ortega, A., La Rosa, M., Santoro, F. M., … Wolf, V. (2020). Seven Paradoxes of Business Process Management in a Hyper-Connected World. <i>Business &#38; Information Systems Engineering</i>, <i>63</i>, 145–156. <a href=\"https://doi.org/10.1007/s12599-020-00646-z\">https://doi.org/10.1007/s12599-020-00646-z</a>"},"has_accepted_license":"1","status":"public","user_id":"59677","ddc":["380"],"volume":63,"page":"145-156","_id":"17156","publisher":"SpringerNature","abstract":[{"lang":"eng","text":"Business Process Management is a boundary-spanning discipline that aligns operational capabilities and technology to design and manage business processes. The Digital Transformation has enabled human actors, information systems, and smart products to interact with each other via multiple digital channels. The emergence of this hyper-connected world greatly leverages the prospects of business processes – but also boosts their complexity to a new level. We need to discuss how the BPM discipline can find new ways for identifying, analyzing, designing, implementing, executing, and monitoring business processes. In this research note, selected transformative trends are explored and their impact on current theories and IT artifacts in the BPM discipline is discussed to stimulate transformative thinking and prospective research in this field."}],"publication":"Business & Information Systems Engineering","keyword":["Business process management (BPM)","Social computing","Smart devices","Big data analytics","Real-time computing","BPM life-cycle"],"type":"journal_article","department":[{"_id":"526"}],"file":[{"date_created":"2024-04-18T12:49:25Z","creator":"dabe","file_id":"53574","content_type":"application/pdf","success":1,"file_name":"Business_Process_Management_in_a_Hyperconnected_World.pdf","access_level":"closed","file_size":360869,"relation":"main_file","date_updated":"2024-04-18T12:49:25Z"}],"date_created":"2020-06-24T10:40:45Z","publication_status":"published","date_updated":"2024-04-18T12:50:57Z","article_type":"original","intvolume":"        63","title":"Seven Paradoxes of Business Process Management in a Hyper-Connected World","year":"2020","author":[{"id":"59677","full_name":"Beverungen, Daniel","last_name":"Beverungen","first_name":"Daniel"},{"full_name":"Buijs, Joos C. A. M.","last_name":"Buijs","first_name":"Joos C. A. M."},{"first_name":"Jörg","last_name":"Becker","full_name":"Becker, Jörg"},{"full_name":"Di Ciccio, Claudio","last_name":"Di Ciccio","first_name":"Claudio"},{"full_name":"van der Aalst, Wil M. P.","last_name":"van der Aalst","first_name":"Wil M. P."},{"first_name":"Christian","last_name":"Bartelheimer","full_name":"Bartelheimer, Christian","id":"49160"},{"first_name":"Jan","last_name":"vom Brocke","full_name":"vom Brocke, Jan"},{"first_name":"Marco","last_name":"Comuzzi","full_name":"Comuzzi, Marco"},{"full_name":"Kraume, Karsten","first_name":"Karsten","last_name":"Kraume"},{"last_name":"Leopold","first_name":"Henrik","full_name":"Leopold, Henrik"},{"full_name":"Matzner, Martin","last_name":"Matzner","first_name":"Martin"},{"full_name":"Mendling, Jan","first_name":"Jan","last_name":"Mendling"},{"full_name":"Ogonek, Nadine","last_name":"Ogonek","first_name":"Nadine"},{"last_name":"Post","first_name":"Till","full_name":"Post, Till"},{"last_name":"Resinas","first_name":"Manuel","full_name":"Resinas, Manuel"},{"full_name":"Revoredo, Kate","first_name":"Kate","last_name":"Revoredo"},{"first_name":"Adela","last_name":"del-Río-Ortega","full_name":"del-Río-Ortega, Adela"},{"first_name":"Marcello","last_name":"La Rosa","full_name":"La Rosa, Marcello"},{"full_name":"Santoro, Flávia Maria","first_name":"Flávia Maria","last_name":"Santoro"},{"full_name":"Solti, Andreas","first_name":"Andreas","last_name":"Solti"},{"last_name":"Song","first_name":"Minseok","full_name":"Song, Minseok"},{"first_name":"Armin","last_name":"Stein","full_name":"Stein, Armin"},{"first_name":"Matthias","last_name":"Stierle","full_name":"Stierle, Matthias"},{"id":"23633","full_name":"Wolf, Verena","first_name":"Verena","last_name":"Wolf"}],"publication_identifier":{"issn":["2363-7005","1867-0202"]},"doi":"10.1007/s12599-020-00646-z","language":[{"iso":"eng"}]},{"citation":{"chicago":"Hajipour, Vahid, Madjid Tavana, Francisco J Santos-Arteaga, Alireza Alinezhad, and Debora Di Caprio. “An Efficient Controlled Elitism Non-Dominated Sorting Genetic Algorithm for Multi-Objective Supplier Selection under Fuzziness.” <i>Journal of Computational Design and Engineering</i> 7, no. 4 (2020): 469–88. <a href=\"https://doi.org/10.1093/jcde/qwaa039\">https://doi.org/10.1093/jcde/qwaa039</a>.","short":"V. Hajipour, M. Tavana, F.J. Santos-Arteaga, A. Alinezhad, D. Di Caprio, Journal of Computational Design and Engineering 7 (2020) 469–488.","ieee":"V. Hajipour, M. Tavana, F. J. Santos-Arteaga, A. Alinezhad, and D. Di Caprio, “An efficient controlled elitism non-dominated sorting genetic algorithm for multi-objective supplier selection under fuzziness,” <i>Journal of Computational Design and Engineering</i>, vol. 7, no. 4, pp. 469–488, 2020, doi: <a href=\"https://doi.org/10.1093/jcde/qwaa039\">10.1093/jcde/qwaa039</a>.","apa":"Hajipour, V., Tavana, M., Santos-Arteaga, F. J., Alinezhad, A., &#38; Di Caprio, D. (2020). An efficient controlled elitism non-dominated sorting genetic algorithm for multi-objective supplier selection under fuzziness. <i>Journal of Computational Design and Engineering</i>, <i>7</i>(4), 469–488. <a href=\"https://doi.org/10.1093/jcde/qwaa039\">https://doi.org/10.1093/jcde/qwaa039</a>","bibtex":"@article{Hajipour_Tavana_Santos-Arteaga_Alinezhad_Di Caprio_2020, title={An efficient controlled elitism non-dominated sorting genetic algorithm for multi-objective supplier selection under fuzziness}, volume={7}, DOI={<a href=\"https://doi.org/10.1093/jcde/qwaa039\">10.1093/jcde/qwaa039</a>}, number={4}, journal={Journal of Computational Design and Engineering}, publisher={Oxford University Press (OUP)}, author={Hajipour, Vahid and Tavana, Madjid and Santos-Arteaga, Francisco J and Alinezhad, Alireza and Di Caprio, Debora}, year={2020}, pages={469–488} }","ama":"Hajipour V, Tavana M, Santos-Arteaga FJ, Alinezhad A, Di Caprio D. An efficient controlled elitism non-dominated sorting genetic algorithm for multi-objective supplier selection under fuzziness. <i>Journal of Computational Design and Engineering</i>. 2020;7(4):469-488. doi:<a href=\"https://doi.org/10.1093/jcde/qwaa039\">10.1093/jcde/qwaa039</a>","mla":"Hajipour, Vahid, et al. “An Efficient Controlled Elitism Non-Dominated Sorting Genetic Algorithm for Multi-Objective Supplier Selection under Fuzziness.” <i>Journal of Computational Design and Engineering</i>, vol. 7, no. 4, Oxford University Press (OUP), 2020, pp. 469–88, doi:<a href=\"https://doi.org/10.1093/jcde/qwaa039\">10.1093/jcde/qwaa039</a>."},"status":"public","page":"469-488","publisher":"Oxford University Press (OUP)","_id":"53903","user_id":"51811","volume":7,"issue":"4","publication":"Journal of Computational Design and Engineering","date_created":"2024-05-04T15:53:53Z","type":"journal_article","department":[{"_id":"277"}],"title":"An efficient controlled elitism non-dominated sorting genetic algorithm for multi-objective supplier selection under fuzziness","year":"2020","publication_identifier":{"issn":["2288-5048"]},"author":[{"full_name":"Hajipour, Vahid","last_name":"Hajipour","first_name":"Vahid"},{"id":"31858","last_name":"Tavana","first_name":"Madjid","full_name":"Tavana, Madjid"},{"first_name":"Francisco J","last_name":"Santos-Arteaga","full_name":"Santos-Arteaga, Francisco J"},{"full_name":"Alinezhad, Alireza","first_name":"Alireza","last_name":"Alinezhad"},{"last_name":"Di Caprio","first_name":"Debora","full_name":"Di Caprio, Debora"}],"date_updated":"2024-05-04T15:56:59Z","publication_status":"published","intvolume":"         7","language":[{"iso":"eng"}],"doi":"10.1093/jcde/qwaa039"},{"volume":7,"user_id":"51811","_id":"53902","publisher":"Informa UK Limited","page":"172-181","status":"public","citation":{"apa":"Aziz, A. A., Mousavi, S. M., Tavana, M., &#38; Niaki, S. T. A. (2020). An investigation of the robustness in the Travelling Salesman problem routes using special structured matrices. <i>International Journal of Systems Science: Operations &#38; Logistics</i>, <i>7</i>(2), 172–181. <a href=\"https://doi.org/10.1080/23302674.2018.1551584\">https://doi.org/10.1080/23302674.2018.1551584</a>","ieee":"A. A. Aziz, S. M. Mousavi, M. Tavana, and S. T. A. 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