{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,5]],"date-time":"2026-05-05T13:29:53Z","timestamp":1777987793497,"version":"3.51.4"},"reference-count":106,"publisher":"Springer Science and Business Media LLC","issue":"2-3","license":[{"start":{"date-parts":[[2022,6,10]],"date-time":"2022-06-10T00:00:00Z","timestamp":1654819200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"},{"start":{"date-parts":[[2022,6,10]],"date-time":"2022-06-10T00:00:00Z","timestamp":1654819200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"}],"funder":[{"DOI":"10.13039\/501100007511","name":"Universidad Rey Juan Carlos","doi-asserted-by":"crossref","id":[{"id":"10.13039\/501100007511","id-type":"DOI","asserted-by":"crossref"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Ann Oper Res"],"published-print":{"date-parts":[[2024,2]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:p>In recent years, the business ecosystem has focused on understanding new ways of automating, collecting, and analyzing data in order to improve products and business models. These actions allow operations management to improve prediction, value creation, optimization, and automatization. In this study, we develop a novel methodology based on data-mining techniques and apply it to identify insights regarding the characteristics of new business models in operations management. The data analyzed in the present study are user-generated content from Twitter. The results are validated using the methods based on Computer-Aided Text Analysis. Specifically, a sentimental analysis with TextBlob on which experiments are performed using vector classifier, multinomial na\u00efve Bayes, logistic regression, and random forest classifier is used. Then, a Latent Dirichlet Allocation is applied to separate the sample into topics based on sentiments to calculate keyness and <jats:italic>p<\/jats:italic>-value. Finally, these results are analyzed with a textual analysis developed in Python. Based on the results, we identify 8 topics, of which 5 are positive (Automation, Data, Forecasting, Mobile accessibility and Employee experiences), 1 topic is negative (Intelligence Security), and 2 topics are neutral (Operational CRM, Digital teams). The paper concludes with a discussion of the main characteristics of the business models in the OM sector that use DDI. In addition, we formulate 26 research questions to be explored in future studies.<\/jats:p>","DOI":"10.1007\/s10479-022-04776-3","type":"journal-article","created":{"date-parts":[[2022,6,10]],"date-time":"2022-06-10T11:06:13Z","timestamp":1654859173000},"page":"849-869","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":20,"title":["Data-driven strategies in operation management: mining user-generated content in Twitter"],"prefix":"10.1007","volume":"333","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9457-7745","authenticated-orcid":false,"given":"Jose Ramon","family":"Saura","sequence":"first","affiliation":[]},{"given":"Domingo","family":"Ribeiro-Soriano","sequence":"additional","affiliation":[]},{"given":"Daniel","family":"Palacios-Marqu\u00e9s","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2022,6,10]]},"reference":[{"issue":"7","key":"4776_CR1","doi-asserted-by":"publisher","first-page":"2909","DOI":"10.1177\/0149206316657594","volume":"44","author":"AF McKenny","year":"2018","unstructured":"McKenny, A. F., Aguinis, H., Short, J. C., & Anglin, A. H. (2018). What doesn\u2019t get measured does exist: Improving the accuracy of computer-aided text analysis. Journal of Management, 44(7), 2909\u20132933. https:\/\/doi.org\/10.1177\/0149206316657594","journal-title":"Journal of Management"},{"issue":"1","key":"4776_CR2","doi-asserted-by":"publisher","first-page":"29","DOI":"10.1016\/j.jik.2018.07.001","volume":"5","author":"E Adamides","year":"2020","unstructured":"Adamides, E., & Karacapilidis, N. (2020). Information technology for supporting the development and maintenance of open innovation capabilities. Journal of Innovation and Knowledge, 5(1), 29\u201338. https:\/\/doi.org\/10.1016\/j.jik.2018.07.001","journal-title":"Journal of Innovation and Knowledge"},{"key":"4776_CR3","doi-asserted-by":"publisher","first-page":"85","DOI":"10.1016\/j.ijinfomgt.2019.01.020","volume":"48","author":"S Akter","year":"2019","unstructured":"Akter, S., Bandara, R., Hani, U., Wamba, F., Foropon, S., & Papadopoulos, C., T (2019). Analytics-based decision making for service systems: A qualitative study and agenda for future research. International Journal of Information Management, 48, 85\u201395. https:\/\/doi.org\/10.1016\/j.ijinfomgt.2019.01.020","journal-title":"International Journal of Information Management"},{"key":"4776_CR4","doi-asserted-by":"publisher","unstructured":"Akter, S., & Wamba, S. F. (2016). Big data analytics in E-commerce: a systematic review and agenda for future research. Electronic Markets, 1\u201322. https:\/\/doi.org\/10.1007\/s12525-016-0219-0","DOI":"10.1007\/s12525-016-0219-0"},{"key":"4776_CR5","doi-asserted-by":"publisher","first-page":"113","DOI":"10.1016\/j.ijpe.2016.08.018","volume":"182","author":"S Akter","year":"2016","unstructured":"Akter, S., Wamba, S. F., Gunasekaran, A., Dubey, R., & Childe, S. J. (2016). How to improve firm performance using big data analytics capability and businessstrategy alignment? International Journal of Production Economics, 182, 113\u2013131. https:\/\/doi.org\/10.1016\/j.ijpe.2016.08.018","journal-title":"International Journal of Production Economics"},{"issue":"4","key":"4776_CR6","doi-asserted-by":"publisher","first-page":"329","DOI":"10.1080\/1350178X.2018.1529215","volume":"25","author":"A Ambrosino","year":"2018","unstructured":"Ambrosino, A., Cedrini, M., Davis, J. B., Fiori, S., Guerzoni, M., & Nuccio, M. (2018). What topic modeling could reveal about the evolution of economics. Journal of Economic Methodology, 25(4), 329\u2013348. https:\/\/doi.org\/10.1080\/1350178X.2018.1529215","journal-title":"Journal of Economic Methodology"},{"issue":"6","key":"4776_CR7","doi-asserted-by":"publisher","first-page":"1320","DOI":"10.1111\/deci.12451","volume":"51","author":"OM Araz","year":"2020","unstructured":"Araz, O. M., Choi, T. M., Olson, D. L., & Salman, F. S. (2020). Role of analytics for operational risk management in the era of big data. Decision Sciences, 51(6), 1320\u20131346. https:\/\/doi.org\/10.1111\/deci.12451","journal-title":"Decision Sciences"},{"key":"4776_CR8","doi-asserted-by":"publisher","unstructured":"Asarta, C. J., & M\u00e9ndez-Carbajo, D. (2020). Bringing down the walls in Business and Management Education: A textual analysis of economic education articles. Journal of Education for Business, 1\u201312. https:\/\/doi.org\/10.1080\/08832323.2020.1726268","DOI":"10.1080\/08832323.2020.1726268"},{"issue":"4","key":"4776_CR9","doi-asserted-by":"publisher","first-page":"2038","DOI":"10.1002\/bse.2731","volume":"30","author":"U Awan","year":"2021","unstructured":"Awan, U., Sroufe, R., & Shahbaz, M. (2021). Industry 4.0 and the circular economy: A literature review and recommendations for future research. Business Strategy and the Environment, 30(4), 2038\u20132060. https:\/\/doi.org\/10.1002\/bse.2731","journal-title":"Business Strategy and the Environment"},{"key":"4776_CR10","doi-asserted-by":"publisher","first-page":"99","DOI":"10.1177\/014920639101700108","volume":"17","author":"J Barney","year":"1991","unstructured":"Barney, J. (1991). Firm resources and sustained competitive advantage. Journal of management, 17, 99\u2013120. https:\/\/doi.org\/10.1177\/014920639101700108","journal-title":"Journal of management"},{"key":"4776_CR11","unstructured":"Bermingham, A., & Smeaton, A. (2011, November). On using Twitter to monitor political sentiment and predict election results. In Proceedings of the Workshop on Sentiment Analysis where AI meets Psychology (SAAIP 2011) (pp.\u00a02\u201310)"},{"key":"4776_CR12","unstructured":"Bos, J., & Markert, K. (2005, April). Combining shallow and deep NLP methods for recognizing textual entailment. In Proceedings of the First PASCAL Challenges Workshop on Recognising Textual Entailment, Southampton, UK (pp.\u00a065\u201368)"},{"issue":"22","key":"4776_CR13","doi-asserted-by":"publisher","first-page":"163","DOI":"10.1108\/JOSM-03-2019-0073","volume":"31","author":"CF Breidbach","year":"2020","unstructured":"Breidbach, C. F., & Maglio, P. (2020). Accountable algorithms? The ethical implications of data-driven business models. Journal of Service Management, 31(22), 163\u2013185. https:\/\/doi.org\/10.1108\/JOSM-03-2019-0073","journal-title":"Journal of Service Management"},{"issue":"3","key":"4776_CR14","doi-asserted-by":"publisher","first-page":"250","DOI":"10.1108\/AJIM-09-2013-0083","volume":"66","author":"A Bruns","year":"2014","unstructured":"Bruns, A., Weller, K., Zimmer, M., & Proferes, N. J. (2014). A topology of Twitter research: disciplines, methods, and ethics. Aslib Journal of Information Management, 66(3), 250\u2013261. https:\/\/doi.org\/10.1108\/AJIM-09-2013-0083","journal-title":"Aslib Journal of Information Management"},{"key":"4776_CR16","doi-asserted-by":"publisher","first-page":"247","DOI":"10.1016\/j.ijpe.2014.12.037","volume":"165","author":"BK Chae","year":"2015","unstructured":"Chae, B. K. (2015). Insights from hashtag# supplychain and Twitter Analytics: Considering Twitter and Twitter data for supply chain practice and research. International Journal of Production Economics, 165, 247\u2013259. https:\/\/doi.org\/10.1016\/j.ijpe.2014.12.037","journal-title":"International Journal of Production Economics"},{"issue":"17","key":"4776_CR17","doi-asserted-by":"publisher","first-page":"5027","DOI":"10.1080\/00207543.2015.1053998","volume":"55","author":"HK Chan","year":"2017","unstructured":"Chan, H. K., Lacka, E., Yee, R. W., & Lim, M. K. (2017). The role of social media data in operations and production management. International Journal of Production Research, 55(17), 5027\u20135036. https:\/\/doi.org\/10.1080\/00207543.2015.1053998","journal-title":"International Journal of Production Research"},{"key":"4776_CR18","doi-asserted-by":"publisher","first-page":"53","DOI":"10.1016\/j.dss.2016.10.006","volume":"94","author":"SW Chan","year":"2017","unstructured":"Chan, S. W., & Chong, M. W. (2017). Sentiment analysis in financial texts. Decision Support Systems, 94, 53\u201364. https:\/\/doi.org\/10.1016\/j.dss.2016.10.006","journal-title":"Decision Support Systems"},{"issue":"6","key":"4776_CR19","doi-asserted-by":"publisher","first-page":"1299","DOI":"10.1016\/j.ipm.2017.08.001","volume":"53","author":"LC Chen","year":"2017","unstructured":"Chen, L. C. (2017). An effective LDA-based time topic model to improve blog search performance. Information Processing and Management, 53(6), 1299\u20131319. https:\/\/doi.org\/10.1016\/j.ipm.2017.08.001","journal-title":"Information Processing and Management"},{"issue":"3\u20134","key":"4776_CR20","doi-asserted-by":"publisher","first-page":"322","DOI":"10.1504\/IJIEI.2016.080527","volume":"4","author":"W Cherif","year":"2016","unstructured":"Cherif, W., Madani, A., & Kissi, M. (2016). A hybrid optimal weighting scheme and machine learning for rendering sentiments in tweets. International Journal of Intelligent Engineering Informatics, 4(3\u20134), 322\u2013339. https:\/\/doi.org\/10.1504\/IJIEI.2016.080527","journal-title":"International Journal of Intelligent Engineering Informatics"},{"key":"4776_CR21","doi-asserted-by":"publisher","first-page":"101860","DOI":"10.1016\/j.tre.2020.101860","volume":"135","author":"TM Choi","year":"2020","unstructured":"Choi, T. M., Guo, S., & Luo, S. (2020). When blockchain meets social-media: Will the result benefit social media analytics for supply chain operations management? Transportation Research Part E: Logistics and Transportation Review, 135, 101860. https:\/\/doi.org\/10.1016\/j.tre.2020.101860","journal-title":"Transportation Research Part E: Logistics and Transportation Review"},{"key":"4776_CR22","unstructured":"Daneshvar, S., & Inkpen, D. (2018). Gender identification in twitter using n-grams and lsa. In Proceedings of the Ninth International Conference of the CLEF Association (CLEF 2018)"},{"key":"4776_CR23","first-page":"64","volume":"91","author":"TH Davenport","year":"2013","unstructured":"Davenport, T. H. (2013). Analytics 3.0. Harvard Business Review, 91, 64\u201372","journal-title":"Harvard Business Review"},{"key":"4776_CR24","doi-asserted-by":"publisher","first-page":"112","DOI":"10.1016\/j.ijinfomgt.2018.07.005","volume":"43","author":"P de Camargo Fiorini","year":"2018","unstructured":"de Camargo Fiorini, P., Roman Pais Seles, B. M., Chiappetta Jabbour, C. J., Barberio Mariano, E., & de Sousa Jabbour, A. B. L. (2018). Management theory and big data literature: From a review to a research agenda. International Journal of Information Management, 43, 112\u2013129. https:\/\/doi.org\/10.1016\/j.ijinfomgt.2018.07.005","journal-title":"International Journal of Information Management"},{"issue":"6","key":"4776_CR25","doi-asserted-by":"publisher","first-page":"455","DOI":"10.1016\/j.jom.2010.01.002","volume":"28","author":"LM De Menezes","year":"2010","unstructured":"De Menezes, L. M., Wood, S., & Gelade, G. (2010). The integration of human resource and operation management practices and its link with performance: A longitudinal latent class study. Journal of operations Management, 28(6), 455\u2013471. https:\/\/doi.org\/10.1016\/j.jom.2010.01.002","journal-title":"Journal of operations Management"},{"key":"4776_CR26","doi-asserted-by":"publisher","DOI":"10.1016\/j.ejor.2018.06.021","author":"Y Duan","year":"2018","unstructured":"Duan, Y., Cao, G., & Edwards, J. S. (2018). Understanding the impact of business analytics on innovation. European Journal of Operational Research. https:\/\/doi.org\/10.1016\/j.ejor.2018.06.021","journal-title":"European Journal of Operational Research"},{"key":"4776_CR27","unstructured":"Farahani, R., & Rezapour, S. (2011). Logistics operations and management: concepts and models. Elsevier"},{"key":"4776_CR28","doi-asserted-by":"publisher","unstructured":"Fragapane, G., Ivanov, D., Peron, M., Sgarbossa, F., & Strandhagen, J. O. (2020). Increasing flexibility and productivity in Industry 4.0 production networks with autonomous mobile robots and smart intralogistics. Annals of operations research, 1\u201319. https:\/\/doi.org\/10.1007\/s10479-020-03526-7","DOI":"10.1007\/s10479-020-03526-7"},{"issue":"1","key":"4776_CR29","doi-asserted-by":"publisher","first-page":"39","DOI":"10.1016\/j.jik.2018.11.001","volume":"5","author":"M Franco","year":"2020","unstructured":"Franco, M., & Esteves, L. (2020). Inter-clustering as a network of knowledge and learning: Multiple case studies. Journal of Innovation and Knowledge, 5(1), 39\u201349. https:\/\/doi.org\/10.1016\/j.jik.2018.11.001","journal-title":"Journal of Innovation and Knowledge"},{"key":"4776_CR30","doi-asserted-by":"crossref","unstructured":"Gabrielatos, C. (2018). Keyness analysis. Corpus approaches to discourse: A critical review, 225\u2013258. In book: Taylor, C. and Marchi, A. (eds.) Corpus Approaches To Discourse: A critical review. Oxford: Routledge.Chapter: 11Publisher: Routledge","DOI":"10.4324\/9781315179346-11"},{"key":"4776_CR31","unstructured":"Gabrielatos, C., & Marchi, A. (2011, November). Keyness: Matching metrics to definitions. In Theoretical-methodological challenges in corpus approaches to discourse studies and some ways of addressing them"},{"key":"4776_CR32","doi-asserted-by":"publisher","first-page":"154290","DOI":"10.1109\/ACCESS.2019.2946594","volume":"7","author":"Z Gao","year":"2019","unstructured":"Gao, Z., Feng, A., Song, X., & Wu, X. (2019). Target-dependent sentiment classification with BERT. Ieee Access : Practical Innovations, Open Solutions, 7, 154290\u2013154299. https:\/\/doi.org\/10.1109\/ACCESS.2019.2946594","journal-title":"Ieee Access : Practical Innovations, Open Solutions"},{"key":"4776_CR33","doi-asserted-by":"publisher","unstructured":"Giannakis, M., Dubey, R., Yan, S., Spanaki, K., & Papadopoulos, T. (2020). Social media and sensemaking patterns in new product development: demystifying the customer sentiment. Annals of Operations Research, 1\u201331. https:\/\/doi.org\/10.1007\/s10479-020-03775-6","DOI":"10.1007\/s10479-020-03775-6"},{"key":"4776_CR34","doi-asserted-by":"publisher","first-page":"79","DOI":"10.1007\/978-981-16-3480-2_9","volume-title":"Making of a Satellite Centre","author":"PS Goel","year":"2022","unstructured":"Goel, P. S. (2022). From Technology to Management. Making of a Satellite Centre (pp. 79\u201395). Singapore: Springer. https:\/\/doi.org\/10.1007\/978-981-16-3480-2_9"},{"key":"4776_CR35","doi-asserted-by":"publisher","first-page":"375","DOI":"10.1287\/orsc.7.4.375","volume":"7","author":"RM Grant","year":"1996","unstructured":"Grant, R. M. (1996). Prospering in dynamically-competitive environments: Organizational capability as knowledge integration. Organization science, 7, 375\u2013387. https:\/\/doi.org\/10.1287\/orsc.7.4.375","journal-title":"Organization science"},{"key":"4776_CR36","doi-asserted-by":"publisher","unstructured":"Grover, P., Kar, A. K., & Dwivedi, Y. K. (2020). Understanding artificial intelligence adoption in operations management: insights from the review of academic literature and social media discussions. Annals of Operations Research, 1\u201337. https:\/\/doi.org\/10.1007\/s10479-020-03683-9","DOI":"10.1007\/s10479-020-03683-9"},{"issue":"2","key":"4776_CR37","doi-asserted-by":"publisher","first-page":"163","DOI":"10.1016\/j.bushor.2014.10.006","volume":"58","author":"DA Gruber","year":"2015","unstructured":"Gruber, D. A., Smerek, R. E., Thomas-Hunt, M. C., & James, E. H. (2015). The real-time power of Twitter: Crisis management and leadership in an age of social media. Business Horizons, 58(2), 163\u2013172. https:\/\/doi.org\/10.1016\/j.bushor.2014.10.006","journal-title":"Business Horizons"},{"issue":"6","key":"4776_CR39","doi-asserted-by":"publisher","first-page":"1292","DOI":"10.1016\/j.ipm.2018.05.006","volume":"54","author":"L Hagen","year":"2018","unstructured":"Hagen, L. (2018). Content analysis of e-petitions with topic modeling: How to train and evaluate LDA models? Information Processing and Management, 54(6), 1292\u20131307. https:\/\/doi.org\/10.1016\/j.ipm.2018.05.006","journal-title":"Information Processing and Management"},{"key":"4776_CR40","unstructured":"Hardeniya, N., Perkins, J., Chopra, D., Joshi, N., & Mathur, I. (2016). Natural language processing: python and NLTK. Packt Publishing Ltd."},{"key":"4776_CR41","unstructured":"Hartmann, P. M., Zaki, M., Feldmann, N., & Neely, A. (2014). Big data for big business? A taxonomy of data-driven business models used by start-up firms.Cambridge Service Alliance,1\u201329"},{"key":"4776_CR42","doi-asserted-by":"publisher","first-page":"91","DOI":"10.1177\/1476127008100133","volume":"7","author":"CE Helfat","year":"2009","unstructured":"Helfat, C. E., & Peteraf, M. A. (2009). Understanding dynamic capabilities: progress along a developmental path. Strategic Organization, 7, 91\u2013102. https:\/\/doi.org\/10.1177\/1476127008100133","journal-title":"Strategic Organization"},{"key":"4776_CR43","doi-asserted-by":"publisher","unstructured":"Hiremath, B. N., & Patil, M. M. (2020). Enhancing optimized personalized therapy in clinical decision support system using Natural Language Processing. Journal of King Saud University-Computer and Information Sciences. doi: https:\/\/doi.org\/10.1016\/j.jksuci.2020.03.006","DOI":"10.1016\/j.jksuci.2020.03.006"},{"key":"4776_CR44","doi-asserted-by":"crossref","unstructured":"Hong, L., & Davison, B. D. (2010, July). Empirical study of topic modeling in twitter. In Proceedings of the first workshop on social media analytics (pp.\u00a080\u201388)","DOI":"10.1145\/1964858.1964870"},{"key":"4776_CR45","doi-asserted-by":"publisher","unstructured":"Hossain, M. A., Akter, S., & Yanamandram, V. (2020). Customer analytics capabilities in the big data spectrum: a systematic approach to achieve sustainable firm performance. In Technological Innovations for Sustainability and Business Growth (pp.\u00a01\u201317). IGI Global. https:\/\/doi.org\/10.4018\/978-1-5225-9940-1.ch001","DOI":"10.4018\/978-1-5225-9940-1.ch001"},{"issue":"4","key":"4776_CR46","doi-asserted-by":"publisher","first-page":"330","DOI":"10.1016\/j.jksues.2016.04.002","volume":"30","author":"DMEDM Hussein","year":"2018","unstructured":"Hussein, D. M. E. D. M. (2018). A survey on sentiment analysis challenges. Journal of King Saud University-Engineering Sciences, 30(4), 330\u2013338. https:\/\/doi.org\/10.1016\/j.jksues.2016.04.002","journal-title":"Journal of King Saud University-Engineering Sciences"},{"key":"4776_CR47","doi-asserted-by":"crossref","unstructured":"Ibrahim, M., & Ahmad, R. (2010, May). Class diagram extraction from textual requirements using natural language processing (NLP) techniques. In 2010 Second International Conference on Computer Research and Development (pp.\u00a0200\u2013204). IEEE","DOI":"10.1109\/ICCRD.2010.71"},{"issue":"2","key":"4776_CR48","doi-asserted-by":"publisher","first-page":"100","DOI":"10.4067\/S0718-18762014000200008","volume":"9","author":"T Jetzek","year":"2014","unstructured":"Jetzek, T., Avital, M., & Bjorn-Andersen, N. (2014). Data-driven innovation through open government data. Journal of theoretical and applied electronic commerce research, 9(2), 100\u2013120","journal-title":"Journal of theoretical and applied electronic commerce research"},{"issue":"2","key":"4776_CR49","doi-asserted-by":"publisher","first-page":"292","DOI":"10.5465\/amp.2017.0159","volume":"35","author":"CD Johnson","year":"2021","unstructured":"Johnson, C. D., Bauer, B. C., & Niederman, F. (2021). The automation of management and business science. Academy of Management Perspectives, 35(2), 292\u2013309. https:\/\/doi.org\/10.5465\/amp.2017.0159","journal-title":"Academy of Management Perspectives"},{"key":"4776_CR50","doi-asserted-by":"publisher","unstructured":"Kim, H., Jang, S. M., Kim, S. H., & Wan, A. (2018). Evaluating sampling methods for content analysis of Twitter data. Social Media + Society, 4(2), https:\/\/doi.org\/10.1177\/2056305118772836","DOI":"10.1177\/2056305118772836"},{"issue":"10","key":"4776_CR51","doi-asserted-by":"publisher","first-page":"4065","DOI":"10.1016\/j.eswa.2013.01.001","volume":"40","author":"E Kontopoulos","year":"2013","unstructured":"Kontopoulos, E., Berberidis, C., Dergiades, T., & Bassiliades, N. (2013). Ontology-based sentiment analysis of twitter posts. Expert systems with applications, 40(10), 4065\u20134074. https:\/\/doi.org\/10.1016\/j.eswa.2013.01.001","journal-title":"Expert systems with applications"},{"key":"4776_CR52","doi-asserted-by":"crossref","unstructured":"Krippendorff, K. (2018). Content analysis: An introduction to its methodology. Sage publications","DOI":"10.4135\/9781071878781"},{"key":"4776_CR53","doi-asserted-by":"publisher","first-page":"345","DOI":"10.1016\/j.ins.2020.07.012","volume":"543","author":"J Kumar","year":"2021","unstructured":"Kumar, J., Singh, A. K., & Buyya, R. (2021). Self directed learning based workload forecasting model for cloud resource management. Information Sciences, 543, 345\u2013366. https:\/\/doi.org\/10.1016\/j.ins.2020.07.012","journal-title":"Information Sciences"},{"key":"4776_CR54","doi-asserted-by":"publisher","first-page":"247","DOI":"10.1016\/j.procs.2015.06.029","volume":"54","author":"KA Kumar","year":"2015","unstructured":"Kumar, K. A., Rajasimha, N., Reddy, M., Rajanarayana, A., & Nadgir, K. (2015). Analysis of users\u2019 sentiments from kannada web documents. Procedia Computer Science, 54, 247\u2013256. https:\/\/doi.org\/10.1016\/j.procs.2015.06.029","journal-title":"Procedia Computer Science"},{"issue":"1","key":"4776_CR55","doi-asserted-by":"publisher","first-page":"59","DOI":"10.1016\/j.jik.2019.01.005","volume":"5","author":"V Lakshmi","year":"2020","unstructured":"Lakshmi, V., & Bahli, B. (2020). Understanding the robotization landscape transformation: A centering resonance analysis. Journal of Innovation and Knowledge, 5(1), 59\u201367. https:\/\/doi.org\/10.1016\/j.jik.2019.01.005","journal-title":"Journal of Innovation and Knowledge"},{"key":"4776_CR56","doi-asserted-by":"publisher","DOI":"10.1108\/sd.2011.05627aae.001","author":"K Lee","year":"2011","unstructured":"Lee, K., & Carter, S. (2011). Global marketing management. Strategic Direction\nhttps:\/\/doi.org\/10.1108\/sd.2011.05627aae.001","journal-title":"Strategic Direction"},{"issue":"3","key":"4776_CR57","doi-asserted-by":"publisher","first-page":"441","DOI":"10.1007\/s10489-013-0463-3","volume":"40","author":"G Li","year":"2014","unstructured":"Li, G., & Liu, F. (2014). Sentiment analysis based on clustering: a framework in improving accuracy and recognizing neutral opinions. Applied intelligence, 40(3), 441\u2013452. https:\/\/doi.org\/10.1007\/s10489-013-0463-3","journal-title":"Applied intelligence"},{"issue":"6","key":"4776_CR58","doi-asserted-by":"publisher","first-page":"1088","DOI":"10.1109\/TSMCA.2007.904745","volume":"37","author":"M Li","year":"2007","unstructured":"Li, M., & Zhou, Z. H. (2007). Improve computer-aided diagnosis with machine learning techniques using undiagnosed samples. IEEE Transactions on Systems Man and Cybernetics-Part A: Systems and Humans, 37(6), 1088\u20131098","journal-title":"IEEE Transactions on Systems Man and Cybernetics-Part A: Systems and Humans"},{"key":"4776_CR59","doi-asserted-by":"publisher","first-page":"515","DOI":"10.1007\/s10479-021-03953-0","volume":"300","author":"X Liao","year":"2021","unstructured":"Liao, X., Ye, G., Yu, J., et al. (2021). Identifying lead users in online user innovation communities based on supernetwork. Annals of Operation Research, 300, 515\u2013543. https:\/\/doi.org\/10.1007\/s10479-021-03953-0","journal-title":"Annals of Operation Research"},{"issue":"5\u20136","key":"4776_CR60","doi-asserted-by":"publisher","first-page":"606","DOI":"10.1080\/14783363.2019.1624518","volume":"32","author":"MG Lins","year":"2021","unstructured":"Lins, M. G., Zotes, L. P., & Caiado, R. (2021). Critical factors for lean and innovation in services: from a systematic review to an empirical investigation. Total Quality Management and Business Excellence, 32(5\u20136), 606\u2013631. https:\/\/doi.org\/10.1080\/14783363.2019.1624518","journal-title":"Total Quality Management and Business Excellence"},{"key":"4776_CR61","doi-asserted-by":"publisher","first-page":"531","DOI":"10.1007\/s10479-019-03149-7","volume":"291","author":"N Liu","year":"2020","unstructured":"Liu, N., Chow, P. S., & Zhao, H. (2020). Challenges and critical successful factors for apparel mass customization operations: recent development and case study. Annals of Operation Research, 291, 531\u2013563. https:\/\/doi.org\/10.1007\/s10479-019-03149-7","journal-title":"Annals of Operation Research"},{"key":"4776_CR62","doi-asserted-by":"publisher","unstructured":"Liu, P., & Yi, S. (2018). Investment decision-making and coordination of a three-stage supply chain considering Data Company in the Big Data era.Annals of Operations Research, 270,255\u201327. https:\/\/doi.org\/10.1007\/s10479-018-2783-5","DOI":"10.1007\/s10479-018-2783-5"},{"key":"4776_CR63","doi-asserted-by":"publisher","first-page":"1467","DOI":"10.3389\/fphar.2019.01467","volume":"10","author":"Y Liu","year":"2019","unstructured":"Liu, Y., Wang, W., Sun, M., Ma, B., Pang, L., Du, Y., \u2026 and \u2026 Ni, J. (2019). Polygonum multiflorum-induced liver injury: Clinical characteristics, risk factors, material basis, action mechanism and current challenges. Frontiers in pharmacology, 10, 1467","journal-title":"Frontiers in pharmacology"},{"issue":"4","key":"4776_CR64","doi-asserted-by":"publisher","first-page":"1187","DOI":"10.1111\/1475-679X.12123","volume":"54","author":"T Loughran","year":"2016","unstructured":"Loughran, T., & McDonald, B. (2016). Textual analysis in accounting and finance: A survey. Journal of Accounting Research, 54(4), 1187\u20131230. https:\/\/doi.org\/10.1111\/1475-679X.12123","journal-title":"Journal of Accounting Research"},{"key":"4776_CR65","unstructured":"McKinney, W. (2012). Python for data analysis: Data wrangling with Pandas, NumPy, and IPython. \" O\u2019Reilly Media, Inc.\u201c"},{"issue":"4","key":"4776_CR66","doi-asserted-by":"publisher","first-page":"1093","DOI":"10.1016\/j.asej.2014.04.011","volume":"5","author":"W Medhat","year":"2014","unstructured":"Medhat, W., Hassan, A., & Korashy, H. (2014). Sentiment analysis algorithms and applications: A survey. Ain Shams engineering journal, 5(4), 1093\u20131113. https:\/\/doi.org\/10.1016\/j.asej.2014.04.011","journal-title":"Ain Shams engineering journal"},{"issue":"1","key":"4776_CR67","doi-asserted-by":"publisher","first-page":"35","DOI":"10.1016\/j.jik.2020.02.001","volume":"6","author":"C Metallo","year":"2021","unstructured":"Metallo, C., Agrifoglio, R., Briganti, P., Mercurio, L., & Ferrara, M. (2021). Entrepreneurial Behaviour and New Venture Creation: the Psychoanalytic Perspective. Journal of Innovation and Knowledge, 6(1), 35\u201342. https:\/\/doi.org\/10.1016\/j.jik.2020.02.001","journal-title":"Journal of Innovation and Knowledge"},{"key":"4776_CR68","doi-asserted-by":"publisher","DOI":"10.1108\/IDD-08-2020-0102","author":"R Mittal","year":"2021","unstructured":"Mittal, R., Ahmed, W., Mittal, A., & Aggarwal, I. (2021). Twitter users exhibited coping behaviours during the COVID-19 lockdown: an analysis of tweets using mixed methods. Information Discovery and Delivery. https:\/\/doi.org\/10.1108\/IDD-08-2020-0102","journal-title":"Information Discovery and Delivery"},{"key":"4776_CR69","doi-asserted-by":"crossref","unstructured":"Nwokeji, J. C., Clark, T., Barn, B., Kulkarni, V., & Anum, S. O. (2015, September). A data-centric approach to change management. In 2015 IEEE 19th International Enterprise Distributed Object Computing Conference (pp.\u00a0185\u2013190). IEEE","DOI":"10.1109\/EDOC.2015.34"},{"issue":"3","key":"4776_CR70","doi-asserted-by":"publisher","first-page":"278","DOI":"10.1111\/j.1937-5956.2009.01050.x","volume":"18","author":"Pagell","year":"2009","unstructured":"Pagell, & Gobeli, D. (2009). How plant managers\u2019 experiences and attitudes toward sustainability relate to operational performance. Production and Operations Management, 18(3), 278\u2013299. https:\/\/doi.org\/10.1111\/j.1937-5956.2009.01050.x","journal-title":"Production and Operations Management"},{"issue":"4","key":"4776_CR71","doi-asserted-by":"publisher","first-page":"235","DOI":"10.16981\/kliss.48.4.201712.235","volume":"48","author":"J Park","year":"2017","unstructured":"Park, J., & Oh, H. J. (2017). Comparison of topic modeling methods for analyzing research trends of archives management in korea: Focused on lda and hdp. Journal of Korean Library and Information Science Society, 48(4), 235\u2013258","journal-title":"Journal of Korean Library and Information Science Society"},{"issue":"2","key":"4776_CR72","doi-asserted-by":"publisher","first-page":"263","DOI":"10.1177\/1094428111417451","volume":"15","author":"I Pollach","year":"2012","unstructured":"Pollach, I. (2012). Taming textual data: The contribution of corpus linguistics to computer-aided text analysis. Organizational Research Methods, 15(2), 263\u2013287. https:\/\/doi.org\/10.1177\/1094428111417451","journal-title":"Organizational Research Methods"},{"key":"4776_CR73","doi-asserted-by":"crossref","unstructured":"Pryke, S. (Ed.). (2009). Construction supply chain management: concepts and case studies (3 vol.). John Wiley and Sons","DOI":"10.1002\/9781444320916"},{"issue":"4","key":"4776_CR74","doi-asserted-by":"publisher","first-page":"978","DOI":"10.1016\/j.dss.2013.01.007","volume":"55","author":"L Qiu","year":"2013","unstructured":"Qiu, L., Rui, H., & Whinston, A. (2013). Social network-embedded prediction markets: The effects of information acquisition and communication on predictions. Decision Support Systems, 55(4), 978\u2013987. https:\/\/doi.org\/10.1016\/j.dss.2013.01.007","journal-title":"Decision Support Systems"},{"key":"4776_CR75","doi-asserted-by":"publisher","first-page":"63","DOI":"10.1007\/s10479-017-2554-8","volume":"268","author":"AA Rad","year":"2018","unstructured":"Rad, A. A., Jalali, M. S., & Rahmandad, H. (2018). How exposure to different opinions impacts the life cycle of social media. Annals Of Operations Research, 268, 63\u201391. https:\/\/doi.org\/10.1007\/s10479-017-2554-8","journal-title":"Annals Of Operations Research"},{"issue":"1","key":"4776_CR76","doi-asserted-by":"publisher","first-page":"192","DOI":"10.5465\/amr.2018.0072","volume":"46","author":"S Raisch","year":"2021","unstructured":"Raisch, S., & Krakowski, S. (2021). Artificial intelligence and management: The automation\u2013augmentation paradox. Academy of Management Review, 46(1), 192\u2013210. https:\/\/doi.org\/10.5465\/amr.2018.0072","journal-title":"Academy of Management Review"},{"key":"4776_CR77","unstructured":"Ransbotham, S., & Kiron, D. (2017). Analytics as a Source of Business Innovation. MIT Sloan Management Review, 58, n\/a-0"},{"key":"4776_CR78","doi-asserted-by":"publisher","unstructured":"Rayson, P., & Garside, R. (2000, October). Comparing corpora using frequency profiling. In The workshop on comparing corpora (pp.\u00a01\u20136). https:\/\/doi.org\/10.3115\/1117729.1117730","DOI":"10.3115\/1117729.1117730"},{"key":"4776_CR79","unstructured":"Reid, R. D., & Sanders, N. R. (2019). Operations management: an integrated approach. John Wiley and Sons"},{"key":"4776_CR80","doi-asserted-by":"crossref","unstructured":"Sapkota, U., Bethard, S., Montes, M., & Solorio, T. (2015). Not all character n-grams are created equal: A study in authorship attribution. In Proceedings of the 2015 conference of the North American chapter of the association for computational linguistics: Human language technologies (pp.\u00a093\u2013102)","DOI":"10.3115\/v1\/N15-1010"},{"key":"4776_CR81","doi-asserted-by":"publisher","DOI":"10.1016\/j.jik.2020.08.001","author":"JR Saura","year":"2021","unstructured":"Saura, J. R. (2021). Using Data Sciences in Digital Marketing: Framework, methods, and performance metrics. Journal of Innovation and Knowledge. https:\/\/doi.org\/10.1016\/j.jik.2020.08.001","journal-title":"Journal of Innovation and Knowledge"},{"key":"4776_CR82","doi-asserted-by":"publisher","unstructured":"Saura, J. R., Ribeiro-Soriano, D., & Palacios-Marqu\u00e9s, D. (2021). From user-generated data to data-driven innovation: A research agenda to understand user privacy in digital markets. International Journal of Information Management, Volume\u00a060, October 2021, 102331. doi: https:\/\/doi.org\/10.1016\/j.ijinfomgt.2021.102331","DOI":"10.1016\/j.ijinfomgt.2021.102331"},{"key":"4776_CR83","doi-asserted-by":"publisher","unstructured":"Saura, J. R., Palacios-Marqu\u00e9s, D., & Iturricha-Fern\u00e1ndez, A. (2021a). Ethical Design in Social Media: Assessing the main performance measurements of user online behavior modification. Journal of Business Research, 129, May 2021, 271\u2013281. https:\/\/doi.org\/10.1016\/j.jbusres.2021.03.001","DOI":"10.1016\/j.jbusres.2021.03.001"},{"issue":"14","key":"4776_CR84","doi-asserted-by":"publisher","first-page":"3974","DOI":"10.1080\/00207543.2011.613865","volume":"50","author":"MJ Schniederjans","year":"2012","unstructured":"Schniederjans, M. J., Cao, Q., & Gu, C., V (2012). An operations management perspective on adopting customer-relations management (CRM) software. International Journal of Production Research, 50(14), 3974\u20133987. https:\/\/doi.org\/10.1080\/00207543.2011.613865","journal-title":"International Journal of Production Research"},{"issue":"2","key":"4776_CR85","doi-asserted-by":"publisher","first-page":"320","DOI":"10.1177\/1094428109335949","volume":"13","author":"JC Short","year":"2010","unstructured":"Short, J. C., Broberg, J. C., Cogliser, C. C., & Brigham, K. H. (2010). Construct validation using computer-aided text analysis (CATA) an illustration using entrepreneurial orientation. Organizational Research Methods, 13(2), 320\u2013347. https:\/\/doi.org\/10.1177\/1094428109335949","journal-title":"Organizational Research Methods"},{"issue":"3","key":"4776_CR86","doi-asserted-by":"publisher","first-page":"853","DOI":"10.1016\/j.eswa.2013.08.015","volume":"41","author":"G Sidorov","year":"2014","unstructured":"Sidorov, G., Velasquez, F., Stamatatos, E., Gelbukh, A., & Chanona-Hern\u00e1ndez, L. (2014). Syntactic n-grams as machine learning features for natural language processing. Expert Systems with Applications, 41(3), 853\u2013860. https:\/\/doi.org\/10.1016\/j.eswa.2013.08.015","journal-title":"Expert Systems with Applications"},{"issue":"5","key":"4776_CR87","doi-asserted-by":"publisher","first-page":"691","DOI":"10.1111\/jpim.12398","volume":"34","author":"A Sorescu","year":"2017","unstructured":"Sorescu, A. (2017). Data-driven business model innovation. Journal of Product Innovation Management, 34(5), 691\u2013696. https:\/\/doi.org\/10.1111\/jpim.12398","journal-title":"Journal of Product Innovation Management"},{"key":"4776_CR88","doi-asserted-by":"crossref","unstructured":"Supriya, B. N., Kallimani, V., Prakash, S., & Akki, C. B. (2016, March). Twitter sentiment analysis using binary classification technique. In International Conference on Nature of Computation and Communication (pp.\u00a0391\u2013396). Springer, Cham","DOI":"10.1007\/978-3-319-46909-6_36"},{"issue":"5","key":"4776_CR89","doi-asserted-by":"publisher","first-page":"408","DOI":"10.1080\/09537287.2015.1129464","volume":"27","author":"AMT Thom\u00e9","year":"2016","unstructured":"Thom\u00e9, A. M. T., Scavarda, L. F., & Scavarda, A. J. (2016). Conducting systematic literature review in operations management. Production Planning and Control, 27(5), 408\u2013420. https:\/\/doi.org\/10.1080\/09537287.2015.1129464","journal-title":"Production Planning and Control"},{"issue":"2","key":"4776_CR90","doi-asserted-by":"publisher","first-page":"393","DOI":"10.1080\/07350015.2018.1506344","volume":"38","author":"LA Thorsrud","year":"2020","unstructured":"Thorsrud, L. A. (2020). Words are the new numbers: A newsy coincident index of the business cycle. Journal of Business and Economic Statistics, 38(2), 393\u2013409. https:\/\/doi.org\/10.1080\/07350015.2018.1506344","journal-title":"Journal of Business and Economic Statistics"},{"issue":"3","key":"4776_CR91","doi-asserted-by":"publisher","first-page":"145","DOI":"10.1016\/j.jik.2020.09.001","volume":"6","author":"V Tiberius","year":"2021","unstructured":"Tiberius, V., Schwarzer, H., & Roig-Dob\u00f3n, S. (2021). Radical innovations: Between established knowledge and future research opportunities. Journal of Innovation and Knowledge, 6(3), 145\u2013153. https:\/\/doi.org\/10.1016\/j.jik.2020.09.001","journal-title":"Journal of Innovation and Knowledge"},{"issue":"11","key":"4776_CR92","doi-asserted-by":"publisher","first-page":"1412","DOI":"10.1287\/mnsc.46.11.1412.12082","volume":"46","author":"LB Toktay","year":"2000","unstructured":"Toktay, L. B., Wein, L. M., & Zenios, S. A. (2000). Inventory management of remanufacturable products. Management science, 46(11), 1412\u20131426","journal-title":"Management science"},{"issue":"1","key":"4776_CR93","doi-asserted-by":"publisher","first-page":"23","DOI":"10.1108\/EJIM-01-2018-0017","volume":"22","author":"D Trabucchi","year":"2019","unstructured":"Trabucchi, D., & Buganza, T. (2019). Data-driven innovation: switching the perspective on Big Data\u201d. European Journal of Innovation Management, 22(1), 23\u201340. https:\/\/doi.org\/10.1108\/EJIM-01-2018-0017","journal-title":"European Journal of Innovation Management"},{"key":"4776_CR94","unstructured":"Trofimovich, J. (2016). Comparison of neural network architectures for sentiment analysis of russian tweets. In Computational Linguistics and Intellectual Technologies: Proceedings of the International Conference Dialogue (pp.\u00a050\u201359)"},{"issue":"1","key":"4776_CR95","doi-asserted-by":"publisher","first-page":"59","DOI":"10.1016\/j.im.2012.05.006","volume":"50","author":"MC Tsai","year":"2013","unstructured":"Tsai, M. C., Lai, K. H., & Hsu, W. C. (2013). A study of the institutional forces influencing the adoption intention of RFID by suppliers. Information and Management, 50(1), 59\u201365. https:\/\/doi.org\/10.1016\/j.im.2012.05.006","journal-title":"Information and Management"},{"issue":"2","key":"4776_CR96","doi-asserted-by":"publisher","first-page":"121","DOI":"10.1080\/19312458.2020.1869198","volume":"15","author":"W van Atteveldt","year":"2021","unstructured":"van Atteveldt, W., van der Velden, M. A., & Boukes, M. (2021). The Validity of Sentiment Analysis: Comparing Manual Annotation, Crowd-Coding, Dictionary Approaches, and Machine Learning Algorithms. Communication Methods and Measures, 15(2), 121\u2013140. https:\/\/doi.org\/10.1080\/19312458.2020.1869198","journal-title":"Communication Methods and Measures"},{"issue":"1","key":"4776_CR97","doi-asserted-by":"publisher","first-page":"211","DOI":"10.1016\/j.ejor.2011.09.031","volume":"218","author":"W Verbeke","year":"2012","unstructured":"Verbeke, W., Dejaeger, K., Martens, D., Hur, J., & Baesens, B. (2012). New insights into churn prediction in the telecommunication sector: A profit driven data mining approach. European journal of operational research, 218(1), 211\u2013229. https:\/\/doi.org\/10.1016\/j.ejor.2011.09.031","journal-title":"European journal of operational research"},{"issue":"1","key":"4776_CR98","doi-asserted-by":"publisher","first-page":"37","DOI":"10.5121\/acii.2016.3104","volume":"3","author":"S Vijayarani","year":"2016","unstructured":"Vijayarani, S., & Janani, R. (2016). Text mining: open source tokenization tools-an analysis. Advanced Computational Intelligence: An International Journal (ACII), 3(1), 37\u201347. https:\/\/doi.org\/10.5121\/acii.2016.3104","journal-title":"Advanced Computational Intelligence: An International Journal (ACII)"},{"key":"4776_CR99","doi-asserted-by":"publisher","first-page":"77","DOI":"10.1111\/jbl.12010","volume":"34","author":"MA Waller","year":"2013","unstructured":"Waller, M. A., & Fawcett, S. E. (2013). Data science, predictive analytics, and big data: a revolution that will transform supply chain design and management. Journal of Business Logistics, 34, 77\u201384. https:\/\/doi.org\/10.1111\/jbl.12010","journal-title":"Journal of Business Logistics"},{"key":"4776_CR100","doi-asserted-by":"publisher","first-page":"356","DOI":"10.1016\/j.jbusres.2016.08.009","volume":"70","author":"SF Wamba","year":"2017","unstructured":"Wamba, S. F., Gunasekaran, A., Akter, S., Ren, S. J., Dubey, R., & Childe, S. J. (2017). Big data analytics and firm performance: Effects of dynamic capabilities. Journal of Business Research, 70, 356\u2013365. https:\/\/doi.org\/10.1016\/j.jbusres.2016.08.009","journal-title":"Journal of Business Research"},{"key":"4776_CR101","doi-asserted-by":"publisher","first-page":"3","DOI":"10.1016\/j.techfore.2015.12.019","volume":"126","author":"Y Wang","year":"2018","unstructured":"Wang, Y., Kung, L., & Byrd, T. A. (2018). Big data analytics: Understanding its capabilities and potential benefits for healthcare organizations. Technological Forecasting and Social Change, 126, 3\u201313. https:\/\/doi.org\/10.1016\/j.techfore.2015.12.019","journal-title":"Technological Forecasting and Social Change"},{"issue":"8","key":"4776_CR102","doi-asserted-by":"publisher","first-page":"2120","DOI":"10.1109\/TKDE.2015.2407371","volume":"27","author":"R Xia","year":"2015","unstructured":"Xia, R., Xu, F., Zong, C., Li, Q., Qi, Y., & Li, T. (2015). Dual sentiment analysis: Considering two sides of one review. IEEE transactions on knowledge and data engineering, 27(8), 2120\u20132133. https:\/\/doi.org\/10.1109\/TKDE.2015.2407371","journal-title":"IEEE transactions on knowledge and data engineering"},{"issue":"3","key":"4776_CR103","doi-asserted-by":"publisher","first-page":"767","DOI":"10.1007\/s41870-019-00329-3","volume":"12","author":"Yamin","year":"2020","unstructured":"Yamin, & Alharthi, S. (2020). Measuring impact of healthcare information systems in administration and operational management. International Journal of Information Technology, 12(3), 767\u2013774. https:\/\/doi.org\/10.1007\/s41870-019-00329-3","journal-title":"International Journal of Information Technology"},{"key":"4776_CR104","doi-asserted-by":"publisher","DOI":"10.1108\/13598540710737271","author":"HM Yang","year":"2007","unstructured":"Yang, H. M., Choi, B. S., Park, H. J., Suh, M. S., & Chae, B. K. (2007). Supply chain management six sigma: a management innovation methodology at the Samsung Group. Supply Chain Management: An International Journal. https:\/\/doi.org\/10.1108\/13598540710737271","journal-title":"Supply Chain Management: An International Journal"},{"key":"4776_CR105","doi-asserted-by":"publisher","first-page":"553","DOI":"10.1007\/s10479-017-2421-7","volume":"270","author":"H Yuan","year":"2018","unstructured":"Yuan, H., Xu, W., Li, Q., et al. (2018). Topic sentiment mining for sales performance prediction in e-commerce. Annals Of Operations Research, 270, 553\u2013576. https:\/\/doi.org\/10.1007\/s10479-017-2421-7","journal-title":"Annals Of Operations Research"},{"issue":"5","key":"4776_CR106","doi-asserted-by":"publisher","first-page":"472","DOI":"10.1109\/JIOT.2014.2353629","volume":"1","author":"H Yue","year":"2014","unstructured":"Yue, H., Guo, L., Li, R., Asaeda, H., & Fang, Y. (2014). DataClouds: Enabling community-based data-centric services over the Internet of Things. IEEE Internet of Things Journal, 1(5), 472\u2013482. https:\/\/doi.org\/10.1109\/JIOT.2014.2353629","journal-title":"IEEE Internet of Things Journal"},{"key":"4776_CR107","doi-asserted-by":"publisher","unstructured":"Zhang, W. J., Wang, J. W., & Lin, Y. (2019). Integrated design and operation management for enterprise systems. 13, 2019,424\u2013429. https:\/\/doi.org\/10.1080\/17517575.2019.1597169","DOI":"10.1080\/17517575.2019.1597169"},{"key":"4776_CR108","doi-asserted-by":"publisher","first-page":"196","DOI":"10.1016\/j.future.2015.10.012","volume":"65","author":"F Zhao","year":"2016","unstructured":"Zhao, F., Zhu, Y., Jin, H., & Yang, L. T. (2016). A personalized hashtag recommendation approach using LDA-based topic model in microblog environment. Future Generation Computer Systems, 65, 196\u2013206. https:\/\/doi.org\/10.1016\/j.future.2015.10.012","journal-title":"Future Generation Computer Systems"}],"container-title":["Annals of Operations Research"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10479-022-04776-3.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s10479-022-04776-3\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10479-022-04776-3.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,2,15]],"date-time":"2024-02-15T19:19:58Z","timestamp":1708024798000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s10479-022-04776-3"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,6,10]]},"references-count":106,"journal-issue":{"issue":"2-3","published-print":{"date-parts":[[2024,2]]}},"alternative-id":["4776"],"URL":"https:\/\/doi.org\/10.1007\/s10479-022-04776-3","relation":{},"ISSN":["0254-5330","1572-9338"],"issn-type":[{"value":"0254-5330","type":"print"},{"value":"1572-9338","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,6,10]]},"assertion":[{"value":"23 July 2021","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"12 January 2022","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"11 May 2022","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"10 June 2022","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}