{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,8]],"date-time":"2026-04-08T21:23:48Z","timestamp":1775683428213,"version":"3.50.1"},"reference-count":101,"publisher":"MDPI AG","issue":"2","license":[{"start":{"date-parts":[[2022,3,25]],"date-time":"2022-03-25T00:00:00Z","timestamp":1648166400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["BDCC"],"abstract":"<jats:p>This study evaluated the impact of startup technology innovations and customer relationship management (CRM) performance on customer participation, value co-creation, and consumer purchase behavior (CPB). This analytical study empirically tested the proposed hypotheses using structural equation modeling (SEM) and SmartPLS 3 techniques. Moreover, we used a support vector machine (SVM) algorithm to verify the model\u2019s accuracy. SVM algorithm uses four different kernels to check the accuracy criterion, and we checked all of them. This research used the convenience sampling approach in gathering the data. We used the conventional bias test method. A total of 466 respondents were completed. Technological innovations of startups and CRM have a positive and significant effect on customer participation. Customer participation significantly affects the value of pleasure, economic value, and relationship value. Based on the importance-performance map analysis (IPMA) matrix results, \u201ccustomer participation\u201d with a score of 0.782 had the highest importance. If customers increase their participation performance by one unit during the COVID-19 epidemic, its overall CPB increases by 0.782. In addition, our results showed that the lowest performance is related to the technological innovations of startups, which indicates an excellent opportunity for development in this area. SVM results showed that polynomial kernel, to a high degree, is the best kernel that confirms the model\u2019s accuracy.<\/jats:p>","DOI":"10.3390\/bdcc6020034","type":"journal-article","created":{"date-parts":[[2022,3,25]],"date-time":"2022-03-25T15:31:21Z","timestamp":1648222281000},"page":"34","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":32,"title":["Startups and Consumer Purchase Behavior: Application of Support Vector Machine Algorithm"],"prefix":"10.3390","volume":"6","author":[{"given":"Pejman","family":"Ebrahimi","sequence":"first","affiliation":[{"name":"Doctoral School of Economic and Regional Sciences, Hungarian University of Agriculture and Life Sciences (MATE), 2100 G\u00f6d\u00f6ll\u0151, Hungary"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6808-1327","authenticated-orcid":false,"given":"Aidin","family":"Salamzadeh","sequence":"additional","affiliation":[{"name":"Department of Business Management, Faculty of Management, University of Tehran, Tehran 1417935840, Iran"}]},{"given":"Maryam","family":"Soleimani","sequence":"additional","affiliation":[{"name":"Department of Management, Economics and Accounting, Payame Noor University, Tehran 1599959515, Iran"}]},{"given":"Seyed Mohammad","family":"Khansari","sequence":"additional","affiliation":[{"name":"Department of Economics, Faculty of Administrative Sciences and Economics, Shahid Ashrafi Esfahani University, Isfahan 4999981799, Iran"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8970-6744","authenticated-orcid":false,"given":"Hadi","family":"Zarea","sequence":"additional","affiliation":[{"name":"Faculty of Administrative Sciences, Laval University, Quebec, QC G1V 0A6, Canada"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6058-009X","authenticated-orcid":false,"given":"Maria","family":"Fekete-Farkas","sequence":"additional","affiliation":[{"name":"Institute of Agricultural and Food Economics, Hungarian University of Agriculture and Life Sciences (MATE), 2100 G\u00f6d\u00f6ll\u0151, Hungary"}]}],"member":"1968","published-online":{"date-parts":[[2022,3,25]]},"reference":[{"key":"ref_1","unstructured":"WHO (2021, December 11). Director-General\u2019s Opening Remarks at the Media Briefing on COVID-19. Available online: https:\/\/www.who.int\/director-general\/speeches\/detail\/who-director-general-s-opening-remarks-at-the-media-briefing-on-covid-19---11-march-2020."},{"key":"ref_2","doi-asserted-by":"crossref","unstructured":"Fernandes, N. (2020). Economic effects of coronavirus outbreak (COVID-19) on the world economy. IESE Bus. Sch. Work. Pap., WP-1240-E.","DOI":"10.2139\/ssrn.3557504"},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"489","DOI":"10.1080\/08276331.2020.1821158","article-title":"The coronavirus (COVID-19) pandemic: Challenges among Iranian startups","volume":"33","author":"Salamzadeh","year":"2021","journal-title":"J. Small Bus. Entrep."},{"key":"ref_4","doi-asserted-by":"crossref","unstructured":"Rodrigues, C.D., and de Noronha, M.E.S. (Innov. Manag. Rev., 2021). What companies can learn from unicorn startups to overcome the COVID-19 crisis, Innov. Manag. Rev., ahead-of-print.","DOI":"10.1108\/INMR-01-2021-0011"},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"e00174","DOI":"10.1016\/j.jbvi.2020.e00174","article-title":"Entrepreneurial uncertainty during the COVID-19 crisis: Mapping the temporal dynamics of entrepreneurial finance","volume":"14","author":"Brown","year":"2020","journal-title":"J. Bus. Ventur. Insights"},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"137","DOI":"10.5430\/ijfr.v11n6p137","article-title":"An Eclectic Discussion of the Effects of COVID-19 Pandemic on the World Economy During the First Stage of the Spread","volume":"11","author":"Kalogiannidis","year":"2020","journal-title":"Int. J. Financ. Res."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"e00169","DOI":"10.1016\/j.jbvi.2020.e00169","article-title":"Startups in times of crisis\u2013A rapid response to the COVID-19 pandemic","volume":"13","author":"Kuckertz","year":"2020","journal-title":"J. Bus. Ventur. Insights"},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"1425","DOI":"10.1111\/ijcs.12672","article-title":"Purchase experience during the COVID-19 pandemic and social cognitive theory: The relevance of consumer vulnerability, resilience, and adaptability for purchase satisfaction and repurchase","volume":"45","year":"2021","journal-title":"Int. J. Consum. Stud."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"102542","DOI":"10.1016\/j.jretconser.2021.102542","article-title":"The effect of COVID-19 on consumer shopping behaviour: Generational cohort perspective","volume":"61","author":"Eger","year":"2021","journal-title":"J. Retail. Consum. Serv."},{"key":"ref_10","doi-asserted-by":"crossref","unstructured":"Skala, A. (2019). The startup as a result of innovative entrepreneurship. Digital Startups in Transition Economies, Springer.","DOI":"10.1007\/978-3-030-01500-8"},{"key":"ref_11","first-page":"209","article-title":"Impact of social media on consumer behaviour","volume":"11","author":"Voramontri","year":"2019","journal-title":"Int. J. Inf. Decis. Sci."},{"key":"ref_12","unstructured":"Sterk, V., Sedlacek, P., and Benedetti-Fasil, C. (2020). EU Start-Up Calculator: Impact of COVID-19 on Aggregate Employment: Scenario Analysis for Austria, Belgium, Germany, Hungary, Italy and Spain, JRC121715."},{"key":"ref_13","first-page":"424","article-title":"Unboxing organisational complexity: How does it affect business performance during the COVID-19 pandemic?","volume":"10","author":"Pereira","year":"2021","journal-title":"J. Entrep. Public Policy"},{"key":"ref_14","unstructured":"Sedlacek, P., and Sterk, V. (2020). Startups and employment following the COVID-19 pandemic: A calculator. CEPR Discuss. Pap., 14671. Available online: https:\/\/ideas.repec.org\/p\/cpr\/ceprdp\/14671.html."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"169","DOI":"10.1016\/j.jretai.2020.04.002","article-title":"How the COVID-19 pandemic may change the world of retailing","volume":"96","author":"Roggeveen","year":"2020","journal-title":"J. Retail."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"174","DOI":"10.1108\/INMR-02-2018-007","article-title":"Innovation practices in small technology-based companies during incubation and post-incubation periods","volume":"15","author":"Terence","year":"2018","journal-title":"Innov. Manag. Rev."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"189","DOI":"10.1108\/INMR-04-2018-012","article-title":"Technological intensity and innovation capability in industrial firms","volume":"15","author":"Zawislak","year":"2018","journal-title":"Innov. Manag. Rev."},{"key":"ref_18","doi-asserted-by":"crossref","unstructured":"Bouzari, P., Gholampour, A., and Ebrahimi, P. (2020). The Interaction between Human and Media in the Future of Banking Industry. Contemporary Applications of Actor Network Theory, Springer.","DOI":"10.1007\/978-981-15-7066-7_14"},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"25","DOI":"10.1108\/IJOEM-11-2018-0588","article-title":"CRM performance and development of media entrepreneurship in digital, social media and mobile commerce","volume":"16","author":"Ebrahimi","year":"2019","journal-title":"Int. J. Emerg. Mark."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"153","DOI":"10.1504\/IJBIR.2016.074824","article-title":"Investigating the effects of managerial and technological innovations on operational performance and customer satisfaction of manufacturing companies","volume":"10","author":"Abdallah","year":"2016","journal-title":"Int. J. Bus. Innov. Res."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"1134","DOI":"10.1016\/j.jbusres.2012.03.009","article-title":"Innovation and business success: The mediating role of customer participation","volume":"66","author":"Ngo","year":"2013","journal-title":"J. Bus. Res."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"164","DOI":"10.1108\/JBIM-04-2014-0064","article-title":"Using external knowledge to improve organizational innovativeness: Understanding the knowledge leveraging process","volume":"31","author":"Wang","year":"2016","journal-title":"J. Bus. Ind. Mark."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"378","DOI":"10.1016\/j.technovation.2006.09.005","article-title":"Virtual product experience and customer participation\u2014A chance for customer-centred, really new products","volume":"27","author":"Matzler","year":"2007","journal-title":"Technovation"},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"68","DOI":"10.1108\/09544780810842910","article-title":"Integration of CRM and QFD: A novel model for enhancing customer participation in design and delivery","volume":"20","author":"Shahin","year":"2008","journal-title":"TQM J."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"27","DOI":"10.1016\/j.im.2013.09.001","article-title":"Exploring the role of customer relationship management (CRM) systems in customer knowledge creation","volume":"51","author":"Khodakarami","year":"2014","journal-title":"Inf. Manag."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"86","DOI":"10.1057\/palgrave.fsm.4760022","article-title":"Relationship marketing in the financial services industry: The importance of customer education, participation and problem management for customer loyalty","volume":"10","author":"Eisingerich","year":"2006","journal-title":"J. Financ. Serv. Mark."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"113","DOI":"10.1007\/s11628-014-0258-6","article-title":"Influence of customer\u2013firm relationships on customer participation in the service industry","volume":"10","author":"Ahn","year":"2016","journal-title":"Serv. Bus."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"253","DOI":"10.1007\/s11628-016-0307-4","article-title":"The effects of interaction behaviors of service frontliners on customer participation in the value co-creation: A study of health care service","volume":"11","author":"Hau","year":"2017","journal-title":"Serv. Bus."},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"313","DOI":"10.1108\/JOSM-09-2018-0286","article-title":"Social Media use and value creation in the digital landscape: A dynamic-capabilities perspective","volume":"31","author":"King","year":"2020","journal-title":"J. Serv. Manag."},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"123","DOI":"10.1007\/s11747-007-0059-8","article-title":"The effects of customer participation in co-created service recovery","volume":"36","author":"Dong","year":"2008","journal-title":"J. Acad. Mark. Sci."},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"115","DOI":"10.3846\/btp.2020.11053","article-title":"The sustainable performance of the digital start-up company based on customer participation, innovation, and business model","volume":"21","author":"Danarahmanto","year":"2020","journal-title":"Bus. Theory Pract."},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"322","DOI":"10.1007\/s11747-007-0082-9","article-title":"Influence of customer participation on creating and sharing of new product value","volume":"36","author":"Fang","year":"2008","journal-title":"J. Acad. Mark. Sci."},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"621","DOI":"10.1007\/s11628-017-0357-2","article-title":"Two-sided effects of customer participation: Roles of relationships and social-interaction values in social services","volume":"12","author":"Park","year":"2018","journal-title":"Serv. Bus."},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"628","DOI":"10.1108\/JIMA-06-2020-0190","article-title":"Customer participation, value co-creation and customer loyalty: Evidence from Umrah travel agencies in Indonesia","volume":"13","author":"Mursid","year":"2022","journal-title":"J. Islamic Mark."},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"603","DOI":"10.1007\/s11628-015-0285-y","article-title":"Customer participation to co-create value in human transformative services: A study of higher education and health care services","volume":"10","author":"Thuy","year":"2016","journal-title":"Serv. Bus."},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"346","DOI":"10.1016\/j.chb.2016.04.010","article-title":"Customer participation, value co-creation and customer loyalty\u2013A case of airline online check-in system","volume":"62","author":"Chen","year":"2016","journal-title":"Comput. Hum. Behav."},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"499","DOI":"10.1504\/EJIM.2021.117524","article-title":"Media branding and value co-creation: Effect of user participation in social media of newsmedia on attitudinal and behavioural loyalty","volume":"16","author":"Khajeheian","year":"2021","journal-title":"Eur. J. Int. Manag."},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"1945","DOI":"10.1108\/MD-04-2013-0227","article-title":"The value co-creation process as a determinant of customer satisfaction","volume":"51","year":"2013","journal-title":"Manag. Decis."},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"182","DOI":"10.1016\/j.chb.2013.10.013","article-title":"Value co-creation and purchase intention in social network sites: The role of electronic Word-of-Mouth and trust\u2013A theoretical analysis","volume":"31","author":"Ho","year":"2014","journal-title":"Comput. Hum. Behav."},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"1047","DOI":"10.1108\/JPBM-04-2020-2847","article-title":"Drivers and consequences of customer participation into value co-creation: A field experiment","volume":"30","author":"Guzel","year":"2020","journal-title":"J. Prod. Brand Manag."},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"766","DOI":"10.1108\/IMDS-05-2016-0180","article-title":"Investigating community members\u2019 purchase intention on Facebook fan page: From a dualistic perspective of trust relationships","volume":"117","author":"Hsu","year":"2017","journal-title":"Ind. Manag. Data Syst."},{"key":"ref_42","doi-asserted-by":"crossref","first-page":"393","DOI":"10.1108\/IntR-02-2013-0023","article-title":"The online purchase as a context for co-creating experiences. Drivers of and consequences for customer behavior","volume":"24","year":"2014","journal-title":"Internet Res."},{"key":"ref_43","unstructured":"Kelleher, J.D., Mac Namee, B., and D\u2019Arcy, A. (2020). Fundamentals of Machine Learning for Predictive Data Analytics: Algorithms, Worked Examples, and Case Studies, MIT Press."},{"key":"ref_44","doi-asserted-by":"crossref","unstructured":"Kitsios, F., and Kamariotou, M. (2021). Artificial intelligence and business strategy towards digital transformation: A research agenda. Sustainability, 13.","DOI":"10.3390\/su13042025"},{"key":"ref_45","doi-asserted-by":"crossref","first-page":"83","DOI":"10.1038\/s41524-019-0221-0","article-title":"Recent advances and applications of machine learning in solid-state materials science","volume":"5","author":"Schmidt","year":"2019","journal-title":"npj Comput. Mater."},{"key":"ref_46","doi-asserted-by":"crossref","unstructured":"Al-Anqoudi, Y., Al-Hamdani, A., Al-Badawi, M., and Hedjam, R. (2021). Using Machine Learning in Business Process Re-Engineering. Big Data Cogn. Comput., 5.","DOI":"10.3390\/bdcc5040061"},{"key":"ref_47","doi-asserted-by":"crossref","unstructured":"Chen, Q., and Lee, S. (2021). A Machine Learning Approach to Predict Customer Usage of a Home Workout Platform. Appl. Sci., 11.","DOI":"10.3390\/app11219927"},{"key":"ref_48","doi-asserted-by":"crossref","unstructured":"Cioffi, R., Travaglioni, M., Piscitelli, G., Petrillo, A., and De Felice, F. (2020). Artificial intelligence and machine learning applications in smart production: Progress, trends, and directions. Sustainability, 12.","DOI":"10.3390\/su12020492"},{"key":"ref_49","first-page":"23","article-title":"Machine learning in manufacturing: Advantages, challenges, and applications","volume":"4","author":"Wuest","year":"2016","journal-title":"Prod. Manuf. Res."},{"key":"ref_50","doi-asserted-by":"crossref","first-page":"63","DOI":"10.1016\/j.ijinfomgt.2019.01.021","article-title":"Artificial intelligence for decision making in the era of Big Data\u2013evolution, challenges and research agenda","volume":"48","author":"Duan","year":"2019","journal-title":"Int. J. Inf. Manag."},{"key":"ref_51","doi-asserted-by":"crossref","unstructured":"Obthong, M., Tantisantiwong, N., Jeamwatthanachai, W., and Wills, G.B. (2020, January 5\u20136). A Survey on Machine Learning for Stock Price Prediction: Algorithms and Techniques. Proceedings of the FEMIB 2020\u20142nd International Conference on Finance, Economics, Management and IT Business, Prague, Czech Republic.","DOI":"10.5220\/0009340700630071"},{"key":"ref_52","doi-asserted-by":"crossref","first-page":"106024","DOI":"10.1016\/j.cie.2019.106024","article-title":"A systematic literature review of machine learning methods applied to predictive maintenance","volume":"137","author":"Carvalho","year":"2019","journal-title":"Comput. Ind. Eng."},{"key":"ref_53","first-page":"1","article-title":"Social networks marketing and Hungarian online consumer purchase behavior: The microeconomics strategic view based on IPMA matrix","volume":"20","author":"Ebrahimi","year":"2021","journal-title":"Acad. Strateg. Manag. J."},{"key":"ref_54","doi-asserted-by":"crossref","first-page":"481","DOI":"10.1108\/07363760210444869","article-title":"Cross-cultural consumer values, needs and purchase behavior","volume":"19","author":"Kim","year":"2002","journal-title":"J. Consum. Mark."},{"key":"ref_55","doi-asserted-by":"crossref","first-page":"1","DOI":"10.11648\/j.ajtas.20160501.11","article-title":"Comparison of convenience sampling and purposive sampling","volume":"5","author":"Etikan","year":"2016","journal-title":"Am. J. Theor. Appl. Stat."},{"key":"ref_56","first-page":"1","article-title":"Predicting the actual use of m-learning systems: A comparative approach using PLS-SEM and machine learning algorithms","volume":"2020","author":"Alshurideh","year":"2020","journal-title":"Interact. Learn. Environ."},{"key":"ref_57","doi-asserted-by":"crossref","first-page":"879","DOI":"10.1037\/0021-9010.88.5.879","article-title":"Common method biases in behavioral research: A critical review of the literature and recommended remedies","volume":"88","author":"Podsakoff","year":"2003","journal-title":"J. Appl. Psychol."},{"key":"ref_58","doi-asserted-by":"crossref","unstructured":"Addagarla, S.K., and Amalanathan, A. (2020). Probabilistic unsupervised machine learning approach for a similar image recommender system for E-commerce. Symmetry, 12.","DOI":"10.3390\/sym12111783"},{"key":"ref_59","doi-asserted-by":"crossref","unstructured":"Wang, R., Song, Q., Liu, Z., Ma, H., Gupta, M.K., and Liu, Z. (2021). A Novel Unsupervised Machine Learning-Based Method for Chatter Detection in the Milling of Thin-Walled Parts. Sensors, 21.","DOI":"10.3390\/s21175779"},{"key":"ref_60","doi-asserted-by":"crossref","unstructured":"Baldominos, A., Saez, Y., and Isasi, P. (2019). A survey of handwritten character recognition with mnist and emnist. Appl. Sci., 9.","DOI":"10.3390\/app9153169"},{"key":"ref_61","first-page":"226","article-title":"Research on K-value selection method of K-means clustering algorithm","volume":"2","author":"Yuan","year":"2019","journal-title":"J"},{"key":"ref_62","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.eswa.2019.06.064","article-title":"Combining hierarchical clustering approaches using the PCA method","volume":"137","author":"Jafarzadegan","year":"2019","journal-title":"Expert Syst. Appl."},{"key":"ref_63","doi-asserted-by":"crossref","unstructured":"Melit Devassy, B., George, S., and Nussbaum, P. (2020). Unsupervised clustering of hyperspectral paper data using t-SNE. J. Imaging, 6.","DOI":"10.3390\/jimaging6050029"},{"key":"ref_64","doi-asserted-by":"crossref","unstructured":"Severson, K.A., Molaro, M.C., and Braatz, R.D. (2017). Principal component analysis of process datasets with missing values. Processes, 5.","DOI":"10.3390\/pr5030038"},{"key":"ref_65","doi-asserted-by":"crossref","unstructured":"Li, M., Kashef, R., and Ibrahim, A. (2020). Multi-level clustering-based outlier\u2019s detection (MCOD) using self-organizing maps. Big Data Cogn. Comput., 4.","DOI":"10.3390\/bdcc4040024"},{"key":"ref_66","doi-asserted-by":"crossref","unstructured":"Zhong, M., Wang, J., Jiang, T., Huang, Z., Chen, X., and Hong, Y. (2020). Using the apriori algorithm and Copula function for the bivariate analysis of flash flood risk. Water, 12.","DOI":"10.3390\/w12082223"},{"key":"ref_67","doi-asserted-by":"crossref","first-page":"487","DOI":"10.1007\/s10845-014-0881-z","article-title":"An application of Hebbian learning in the design process decision-making","volume":"27","year":"2016","journal-title":"J. Intell. Manuf."},{"key":"ref_68","doi-asserted-by":"crossref","unstructured":"Chen, T.-C.T., Liu, C.-L., and Lin, H.-D. (2018). Advanced artificial neural networks. Algorithms, 11.","DOI":"10.3390\/a11070102"},{"key":"ref_69","doi-asserted-by":"crossref","first-page":"184","DOI":"10.1016\/j.procs.2017.09.034","article-title":"Initial experiments evolving spiking neural networks with supervised learning capability","volume":"114","author":"Schaffer","year":"2017","journal-title":"Procedia Comput. Sci."},{"key":"ref_70","doi-asserted-by":"crossref","first-page":"111","DOI":"10.1016\/j.compchemeng.2017.10.008","article-title":"Machine learning: Overview of the recent progresses and implications for the process systems engineering field","volume":"114","author":"Lee","year":"2018","journal-title":"Comput. Chem. Eng."},{"key":"ref_71","doi-asserted-by":"crossref","unstructured":"Alsharif, M.H., Kelechi, A.H., Yahya, K., and Chaudhry, S.A. (2020). Machine learning algorithms for smart data analysis in internet of things environment: Taxonomies and research trends. Symmetry, 12.","DOI":"10.3390\/sym12010088"},{"key":"ref_72","doi-asserted-by":"crossref","unstructured":"Alimi, O.A., Ouahada, K., Abu-Mahfouz, A.M., Rimer, S., and Alimi, K.O.A. (2021). A review of research works on supervised learning algorithms for SCADA intrusion detection and classification. Sustainability, 13.","DOI":"10.3390\/su13179597"},{"key":"ref_73","doi-asserted-by":"crossref","unstructured":"Aspuru, J., Ochoa-Brust, A., F\u00e9lix, R.A., Mata-L\u00f3pez, W., Mena, L.J., Ostos, R., and Mart\u00ednez-Pel\u00e1ez, R. (2019). Segmentation of the ECG signal by means of a linear regression algorithm. Sensors, 19.","DOI":"10.3390\/s19040775"},{"key":"ref_74","doi-asserted-by":"crossref","unstructured":"Wu, X., Gao, Y., and Jiao, D. (2019). Multi-label classification based on random forest algorithm for non-intrusive load monitoring system. Processes, 7.","DOI":"10.3390\/pr7060337"},{"key":"ref_75","doi-asserted-by":"crossref","unstructured":"Thanh Noi, P., and Kappas, M. (2018). Comparison of random forest, k-nearest neighbor, and support vector machine classifiers for land cover classification using Sentinel-2 imagery. Sensors, 18.","DOI":"10.3390\/s18010018"},{"key":"ref_76","doi-asserted-by":"crossref","first-page":"483","DOI":"10.3390\/make1010029","article-title":"Differentially private image classification using support vector machine and differential privacy","volume":"1","author":"Senekane","year":"2019","journal-title":"Mach. Learn. Knowl. Extr."},{"key":"ref_77","doi-asserted-by":"crossref","unstructured":"He, H., Li, S., Hu, L., Duarte, N., Manta, O., and Yue, X.-G. (2019). Risk factor identification of sustainable guarantee network based on logistic regression algorithm. Sustainability, 11.","DOI":"10.3390\/su11133525"},{"key":"ref_78","doi-asserted-by":"crossref","unstructured":"Rrmoku, K., Selimi, B., and Ahmedi, L. (2022). Application of Trust in Recommender Systems\u2014Utilizing Naive Bayes Classifier. Computation, 10.","DOI":"10.3390\/computation10010006"},{"key":"ref_79","doi-asserted-by":"crossref","unstructured":"Ma, S., Yang, P., Lai, B., Su, C., Zhao, W., Yang, K., Jin, R., Cheng, T., and Xu, B. (2021). Adaptive gradient estimation stochastic parallel gradient descent algorithm for laser beam cleanup. Photonics, 8.","DOI":"10.3390\/photonics8050165"},{"key":"ref_80","unstructured":"Ringle, C.M. (2021, November 14). Partial Least Squares Structural Equation Modelling (PLS-SEM) Using SmartPLS 3. Available online: http:\/\/www.smartpls.com."},{"key":"ref_81","unstructured":"Hair, J.F., Hult, G.T.M., Ringle, C.M., and Sarstedt, M. (2017). A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM), Sage Publications."},{"key":"ref_82","doi-asserted-by":"crossref","first-page":"2","DOI":"10.1108\/EBR-11-2018-0203","article-title":"When to use and how to report the results of PLS-SEM","volume":"31","author":"Hair","year":"2019","journal-title":"Eur. Bus. Rev."},{"key":"ref_83","doi-asserted-by":"crossref","first-page":"1865","DOI":"10.1108\/IMDS-10-2015-0449","article-title":"Gain more insight from your PLS-SEM results: The importance-performance map analysis","volume":"116","author":"Ringle","year":"2016","journal-title":"Ind. Manag. Data Syst."},{"key":"ref_84","first-page":"35","article-title":"Modelling media entrepreneurship in social media: SEM and MLP-ANN Approach","volume":"34","author":"Kawamorita","year":"2019","journal-title":"AD-Minist."},{"key":"ref_85","unstructured":"Ebrahimi, P., Soleimani, M., Kot, S., Fekete-Farkas, M., and Alipour, H. (2021). COVID-19 crisis and online businesses resilience: A moderated mediation model. Eur. J. Int. Manag."},{"key":"ref_86","first-page":"141","article-title":"The Impact of Hospital Information System on Nurses\u2019 Satisfaction in Iranian Public Hospitals: The Moderating Role of Computer Literacy","volume":"12","author":"Gholampour","year":"2020","journal-title":"J. Inf. Technol. Manag."},{"key":"ref_87","doi-asserted-by":"crossref","unstructured":"Moghadamzadeh, A., Ebrahimi, P., Radfard, S., Salamzadeh, A., and Khajeheian, D. (2020). Investigating the role of customer co-creation behavior on social media platforms in rendering innovative services. Sustainability, 12.","DOI":"10.3390\/su12176926"},{"key":"ref_88","first-page":"1","article-title":"Effect of social media adoption and media needs on online purchase behavior: The moderator roles of media type, gender, age","volume":"13","author":"Janavi","year":"2021","journal-title":"J. Inf. Technol. Manag."},{"key":"ref_89","doi-asserted-by":"crossref","first-page":"303","DOI":"10.1080\/13675567.2020.1754773","article-title":"Assessing the eco-environmental performance: An PLS-SEM approach with practice-based view","volume":"24","author":"Yu","year":"2021","journal-title":"Int. J. Logist. Res. Appl."},{"key":"ref_90","doi-asserted-by":"crossref","unstructured":"Liu, Y., Ting, H., and Ringle, C. (2021). Appreciation to and behavior intention regarding upscale ethnic restaurants. J. Hosp. Tour. Res., 10963480211011544.","DOI":"10.1177\/10963480211011544"},{"key":"ref_91","first-page":"197","article-title":"How to specify, estimate, and validate higher-order constructs in PLS-SEM","volume":"27","author":"Sarstedt","year":"2019","journal-title":"Australas. Mark. J. AMJ"},{"key":"ref_92","doi-asserted-by":"crossref","first-page":"39","DOI":"10.1177\/002224378101800104","article-title":"Evaluating structural equation models with unobservable variables and measurement error","volume":"18","author":"Fornell","year":"1981","journal-title":"J. Mark. Res."},{"key":"ref_93","doi-asserted-by":"crossref","first-page":"1805","DOI":"10.1007\/s11365-020-00687-6","article-title":"Essential new PLS-SEM analysis methods for your entrepreneurship analytical toolbox","volume":"17","author":"Manley","year":"2021","journal-title":"Int. Entrep. Manag. J."},{"key":"ref_94","first-page":"1","article-title":"Common method bias in PLS-SEM: A full collinearity assessment approach","volume":"11","author":"Kock","year":"2015","journal-title":"Int. J. E-Collab. IJEC"},{"key":"ref_95","doi-asserted-by":"crossref","first-page":"1337","DOI":"10.1108\/MRR-08-2019-0341","article-title":"An assessment of corporate social responsibility on customer company identification and loyalty in banking industry: A PLS-SEM analysis","volume":"43","author":"Raza","year":"2020","journal-title":"Manag. Res. Rev."},{"key":"ref_96","doi-asserted-by":"crossref","first-page":"4552","DOI":"10.1016\/j.jbusres.2016.03.049","article-title":"The elephant in the room: Predictive performance of PLS models","volume":"69","author":"Shmueli","year":"2016","journal-title":"J. Bus. Res."},{"key":"ref_97","doi-asserted-by":"crossref","first-page":"2322","DOI":"10.1108\/EJM-02-2019-0189","article-title":"Predictive model assessment in PLS-SEM: Guidelines for using PLSpredict","volume":"53","author":"Shmueli","year":"2019","journal-title":"Eur. J. Mark."},{"key":"ref_98","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1007\/s11135-018-0689-6","article-title":"Partial least squares path modeling: Quo Vadis?","volume":"52","author":"Henseler","year":"2018","journal-title":"Qual. Quant."},{"key":"ref_99","doi-asserted-by":"crossref","unstructured":"Ye, K. (2019). Key feature recognition algorithm of network intrusion signal based on neural network and support vector machine. Symmetry, 11.","DOI":"10.3390\/sym11030380"},{"key":"ref_100","doi-asserted-by":"crossref","first-page":"468","DOI":"10.1016\/j.im.2015.01.008","article-title":"The impacts of technological environments and co-creation experiences on customer participation","volume":"52","author":"Zhang","year":"2015","journal-title":"Inf. Manag."},{"key":"ref_101","doi-asserted-by":"crossref","first-page":"42","DOI":"10.1002\/dir.20077","article-title":"Interactions in virtual customer environments: Implications for product support and customer relationship management","volume":"21","author":"Nambisan","year":"2007","journal-title":"J. Interact. Mark."}],"container-title":["Big Data and Cognitive Computing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2504-2289\/6\/2\/34\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,10]],"date-time":"2025-10-10T22:43:29Z","timestamp":1760136209000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2504-2289\/6\/2\/34"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,3,25]]},"references-count":101,"journal-issue":{"issue":"2","published-online":{"date-parts":[[2022,6]]}},"alternative-id":["bdcc6020034"],"URL":"https:\/\/doi.org\/10.3390\/bdcc6020034","relation":{},"ISSN":["2504-2289"],"issn-type":[{"value":"2504-2289","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,3,25]]}}}