References

• Abed, S. S. (2020). Social commerce adoption using TOE framework: An empirical investigation of Saudi Arabian SMEs. International Journal of Information Management, 53, 102118. google scholar
• Adams, R., Bessant, J., & Phelps, R. (2006). Innovation management measurement: A review. International journal of management reviews, 8(1), 21-47. google scholar
• Afrasiabi Rad, A., & Benyoucef, M. (2011). A model for understanding social commerce. Journal of Information Systems Applied Research, 4(2), 63. google scholar
• Ajzen, I. (1991). The theory of planned behavior. Organizational behavior and human decision processes, 50(2), 179-211. google scholar
• Akgün, A. E. (2020). Team wisdom in software development projects and its impact on project performance. In-ternational Journal of Information Management, 50, 228-243. google scholar
• Alagarsamy, S., Mehrolia, S., & Vijay, M. (2021). The importance of servicescapes in Maldivian higher educa-tion: application of the stimuli-organism-response (SOR) framework. Journal of Facilities Management. google scholar
• Alahmar, A., Crupi, M. E., & Benlamri, R. (2020). Ontological framework for standardizing and digitizing cli-nical pathways in healthcare information systems. Computer Methods and Programs in Biomedicine, 196, 105559. google scholar
• Aldholay, A., Abdullah, Z., Isaac, O., & Mutahar, A. M. (2019). Perspective of Yemeni students on use of online learning: Extending the information systems success model with transformational leadership and compati-bility. Information Technology & People. google scholar
• Alfawareh, F. S., Al-Kofahi, M., Al-Kofahi, B., Alshirah, M. H., Alshirah, M., & Ananzeh, H. (2021). A Bib-liometric Analysis of Published Articles on Management Information Systems (MIS). Information and Knowledge Management, 11 (4), 142-149. https://doi.org/10.7176/ikm/11-4-14 google scholar
• Algharibi, A. J., & Arvanitis, T. N. (2011, July). Adapting the Unified Theory of Acceptance and Use of Tech-nology (UTAUT) as a tool for validating user needs on the implementation of e-Trial software systems. In Proceedings of HCI 2011 The 25th BCS Conference on Human-Computer Interaction 25 (pp. 526-530). google scholar
• Ali, A., Warren, D., & Mathiassen, L. (2017). Cloud-based business services innovation: A risk management model. International Journal of Information Management, 37(6), 639-649. google scholar
• Ali, S., & Green, P. (2012). Effective information technology (IT) governance mechanisms: An IT outsourcing perspective. Information Systems Frontiers, 14(2), 179-193. google scholar
• Al-Kofahi, M. K., Hassan, H., Mohamad, R., Intan, T. P., & Com, M. (2020). Information systems success model: A review of the literature. International Journal of Innovation, Creativity and Change, 12. google scholar
• Alma, B., Koc, T., & Coşkun, E. (2017). Analysis of research characteristics of MIS discipline in Turkey. AM-CIS 2017 - America’s Conference on Information Systems: A Tradition of Innovation, 2017-Augus, 1-10. google scholar
• Almeida, F., & Calistru, C. (2013). The main challenges and issues of big data management. International Journal of Research Studies in Computing, 2(1), 11-20. google scholar
• Ammenwerth, E., Graber, S., Herrmann, G., Bürkle, T., & König, J. (2003). Evaluation of health information systems—problems and challenges. International journal of medical informatics, 71(2-3), 125-135. google scholar
• Appari, A., & Johnson, M. E. (2010). Information security and privacy in healthcare: current state of resear-ch. International journal of Internet and enterprise management, 6(4), 279-314. google scholar
• Assensoh-Kodua, A. (2019). The resource-based view: A tool of key competency for competitive advanta-ge. Problems and Perspectives in Management, 17(3), 143. google scholar
• Awa, H. O., Ukoha, O., & Emecheta, B. C. (2016). Using TOE theoretical framework to study the adoption of ERP solution. Cogent Business & Management, 3(1), 1196571. google scholar
• Awa, H. O., Ojiabo, O. U., & Orokor, L. E. (2017). Integrated technology-organization-environment (TOE) taxonomies for technology adoption. Journal of Enterprise Information Management. google scholar
• Ayvaci, M., Cavusoglu, H., Kim, Y., & Raghunathan, S. (2019). Designing Payment Contracts for Healthcare Services to Induce Information Sharing: The Adoption and the Value of Health Information Exchanges (HIEs). Forthcoming at Management Information Systems Quarterly. google scholar
• Azeez, N. A., & Van der Vyver, C. (2019). Security and privacy issues in e-health cloud-based system: A com-prehensive content analysis. Egyptian Informatics Journal, 20(2), 97-108. google scholar
• Baabdullah, A. M., Alalwan, A. A., Rana, N. P., Kizgin, H., & Patil, P. (2019). Consumer use of mobile banking (M-Banking) in Saudi Arabia: Towards an integrated model. International Journal of Information Mana-gement, 44, 38-52. google scholar
• Babaei, M., Branch, B., & Beikzad Banab branch, J. (2013). Management information system, challenges and Solutions. European Online Journal of Natural and Social Sciences, 2(3), 374-381. www.european-science. com google scholar
• Baker, J. (2012). The technology-organization-environment framework. Information systems theory, 231-245. google scholar
• Bakker, I., Van der Voordt, T., Vink, P., & De Boon, J. (2014). Pleasure, arousal, dominance: Mehrabian and Russell revisited. Current Psychology, 33(3), 405-421. google scholar
• Balapour, A., Nikkhah, H. R., & Sabherwal, R. (2020). Mobile application security: Role of perceived privacy as the predictor of security perceptions. International Journal of Information Management, 52, 102063. google scholar
• Baldwin, L. P., Irani, Z., & Love, P. E. (2001). Outsourcing information systems: drawing lessons from a banking case study. European Journal of Information Systems, 10(1), 15-24. google scholar
• Bandura, A. (1971). Social learning theory. USA, Geneal Learning Press. google scholar
• Bandura, A. (1986). Prentice-Hall series in social learning theory. Social foundations of thought and action: A social cognitive theory. Englewood Cliffs, NJ. google scholar
• Bannert, M. (2002). Managing cognitive load—recent trends in cognitive load theory. Learning and instructi-on, 12(1), 139-146. google scholar
• Barclay, R. O., & Murray, P. C. (1997). What is knowledge management. Knowledge praxis, 19(1), 1-10. google scholar
• Bateh, J., Castaneda, M. E., & Farah, J. E. (2013). Employee resistance to organizational change. International Journal of Management & Information Systems (IJMIS), 17(2), 113-116. google scholar
• Baxter, G., & Marcella, R. (2017). Voters’ online information behaviour and response to campaign content du-ring the Scottish referendum on independence. International Journal of Information Management, 37(6), 539-546. google scholar
• Benis, A., Tamburis, O., Chronaki, C., & Moen, A. (2021). One Digital Health: A unified framework for future health ecosystems. Journal of Medical Internet Research, 23(2), e22189. google scholar
• Bhattacherjee, A. (2001). Understanding information systems continuance: An expectation-confirmation model. MIS quarterly, 351-370. google scholar
• Bhatti, A., Akram, H., Basit, H. M., Khan, A. U., Raza, S. M., & Naqvi, M. B. (2020). E-commerce trends during COVID-19 Pandemic. International Journal of Future Generation Communication and Networking, 13(2), 1449-1452. google scholar
• Bissessar, C. (2018). An application of Hofstede’s cultural dimension among female educational leaders. Edu-cation sciences, 8(2), 77. google scholar
• Bratianu, C. (2020). Toward understanding the complexity of the COVID-19 crisis: A grounded theory approa-ch. Management & Marketing, 15. google scholar
• Breidbach, C. F., & Maglio, P. P. (2016). Technology-enabled value co-creation: An empirical analysis of actors, resources, and practices. Industrial Marketing Management, 56, 73-85. google scholar
• Brohman, K., Addas, S., Dixon, J., & Pinsonneault, A. (2020). Cascading Feedback: A Longitudinal Study of a Feedback Ecosystem for Telemonitoring Patients with Chronic Disease. MIS Quarterly, 44(1). google scholar
• Bu, F., Wang, N., Jiang, B., & Jiang, Q. (2021). Motivating information system engineers’ acceptance of Privacy by Design in China: An extended UTAUT model. International Journal of Information Management, 60, 102358. google scholar
• Chang, A. (2012). UTAUT and UTAUT 2: A review and agenda for future research. The Winners, 13(2), 10-114. google scholar
• Cheng, X., Fu, S., & de Vreede, G. J. (2017). Understanding trust influencing factors in social media communi-cation: A qualitative study. International Journal of Information Management, 37(2), 25-35. google scholar
• Cheng, X., Fu, S., & de Vreede, G. J. (2018). A mixed-method investigation of sharing economy driven car-hai-ling services: Online and offline perspectives. International Journal of Information Management, 41, 57-64. google scholar
• Chiu, Y. T., Zhu, Y. Q., & Corbett, J. (2021). In the hearts and minds of employees: A model of pre-adoptive ap-praisal toward artificial intelligence in organizations. International Journal of Information Management, 60, 102379. google scholar
• Cho, K. W., Bae, S. K., Ryu, J. H., Kim, K. N., An, C. H., & Chae, Y. M. (2015). Performance evaluation of public hospital information systems by the information system success model. Healthcare informatics re-search, 21(1), 43-48. google scholar
• Cho, J., Cheon, Y., Jun, J. W., & Lee, S. (2022). Digital advertising policy acceptance by out-of-home advertising firms: a combination of TAM and TOE framework. International Journal of Advertising, 41(3), 500-518. google scholar
• Choi, E. K., Fowler, D., Goh, B., & Yuan, J. (2016). Social media marketing: applying the uses and gratifications theory in the hotel industry. Journal of Hospitality Marketing & Management, 25(7), 771-796. google scholar
• Choi, J. N., Sung, S. Y., Lee, K., & Cho, D. S. (2011). Balancing cognition and emotion: Innovation implemen-tation as a function of cognitive appraisal and emotional reactions toward innovation. Journal of Organi-zational Behavior, 32(1), 107-124. google scholar
• Choi, K., Yoo, D., Kim, G., & Suh, Y. (2012). A hybrid online-product recommendation system: Combining implicit rating-based collaborative filtering and sequential pattern analysis. electronic commerce research and applications, 11(4), 309-317. google scholar
• Chou, S. W., & Hsu, C. S. (2018). An empirical investigation on knowledge use in virtual communities-A rela-tionship development perspective. Int. J. Inf. Manag., 38(1), 243-255. google scholar
• Chu, X., Luo, X. R., & Chen, Y. (2019). A systematic review on cross-cultural information systems research: Evidence from the last decade. Information & Management, 56(3), 403-417. google scholar
• Culnan, M. J. (1986). The Intellectual Development of Management Information Systems, 1972-1982: A Co-Citation Analysis. Management Science, 32(2), 156-172. google scholar
• Culnan, M. J., & Swanson, B. (1986). Research in Management Information Systems, 1980-1984: Points of Work and Reference. MISQ, 10(3), 288-302. google scholar
• Cutcliffe, J. R. (2000). Methodological issues in grounded theory. Journal of advanced nursing, 31(6), 14761484. google scholar
• Cook, K. S., Cheshire, C., Rice, E. R., & Nakagawa, S. (2013). Social exchange theory. In Handbook of social psychology (pp. 61-88). Springer, Dordrecht. google scholar
• Dashti, M., Sanayei, A., & Rezai Dowlat Abadi, H. (2017). Designing a Model on Factors Affecting Customer Participation in Social Commerce Based on Stimuli-Organism-Response Framework. New Marketing Re-search Journal, 7(2), 17-42. google scholar
• Davis, G. (1974). Management Information Systems: Conceptual Foundations, Structure, and Development. McGraw-Hill. google scholar
• Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information techno-logy. MIS Quarterly, 319-340. google scholar
• Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989). User acceptance of computer technology: A comparison of two theoretical models. Management Science, 35(8), 982-1003. google scholar
• Davis, F. D. (1985). A technology acceptance model for empirically testing new end-user information systems: Theory and results (Doctoral dissertation, Massachusetts Institute of Technology). google scholar
• de Bem Machado, A., Secinaro, S., Calandra, D., & Lanzalonga, F. (2022). Knowledge management and digital transformation for Industry 4.0: a structured literature review. Knowledge Management Research & Prac-tice, 20(2), 320-338. google scholar
• de Carvalho, M. M., Patah, L. A., & de Souza Bido, D. (2015). Project management and its effects on project success: Cross-country and cross-industry comparisons. International journal of project management, 33(7), 1509-1522. google scholar
• de Sousa, P. H. R., Junior, E. R., da Costa, C. C. B., & Reis, A. L. N. (2021). A model of innovation process in light of the Theory of The Growth of the Firm, by Edith Penrose, and of Resource-Based View. Revista Ibero-Americana de Estrategia, 20(1), 19041. google scholar
• Deci, E. L., & Ryan, R. M. (1985). Cognitive evaluation theory. In Intrinsic motivation and self-determination in human behavior (pp. 43-85). Springer, Boston, MA. google scholar
• DeLone, W. H., & McLean, E. R. (2002). Information systems success revisited. In Proceedings of the 35th annual Hawaii international conference on system sciences (pp. 2966-2976). IEEE. google scholar
• DeLone, W. H., & McLean, E. R. (2003). The DeLone and McLean model of information systems success: a ten-year update. Journal of management information systems, 19(4), 9-30. google scholar
• DeLone, W. H., & McLean, E. R. (2004). Measuring e-commerce success: Applying the DeLone & McLean information systems success model. International Journal of electronic commerce, 9(1), 31-47. google scholar
• Deepak, G., & Kasaraneni, D. (2019). Onto Commerce: an ontology focused semantic framework for perso-nalised product recommendation for user targeted e-commerce. International Journal of Computer-Aided Engineering and Technology, 11(4-5), 449-466. google scholar
• Dessart, L., Veloutsou, C., & Morgan-Thomas, A. (2015). Consumer engagement in online brand communities: a social media perspective. Journal of Product & Brand Management. google scholar
• Dickson, G. W. (1981). Management Information Systems: Evolution and Status. In Advances in Computers (pp. 1-37). Academic Press. google scholar
• Di Vaio, A., & Varriale, L. (2020). Blockchain technology in supply chain management for sustainable perfor-mance: Evidence from the airport industry. International Journal of Information Management, 52, 102014. google scholar
• Dunn, W. N. (1983). Social network theory. Knowledge, 4(3), 453-461. google scholar
• Dubey, R., Gunasekaran, A., Childe, S. J., Blome, C., & Papadopoulos, T. (2019). Big data and predictive anal-ytics and manufacturing performance: integrating institutional theory, resource-based view and big data culture. British Journal of Management, 30(2), 341-361. google scholar
• Dwivedi, Y. K., & Kuljis, J. (2008). Profile of IS research published in the European Journal of Information Systems. European Journal of Information Systems, 17(6), 678-693. google scholar
• Dwivedi, Y. K., Rana, N. P., Jeyaraj, A., Clement, M., & Williams, M. D. (2019). Re-examining the unified theory of acceptance and use of technology (UTAUT): Towards a revised theoretical model. Information Systems Frontiers, 21(3), 719-734. google scholar
• Dwivedi, Y. K., Hughes, L., Ismagilova, E., Aarts, G., Coombs, C., Crick, T., ... & Williams, M. D. (2021). Ar-tificial Intelligence (AI): Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy. International Journal of Information Management, 57, 101994. google scholar
• Efiloğlu Kurt, Ö. (2019). Examining an e-learning system through the lens of the information systems success model: Empirical evidence from Italy. Education and Information Technologies, 24(2), 1173-1184. google scholar
• Ein-Dor, P., & Sagev, E. (1978). Organizational context and the success of management information systems. Management Science, 24(10), 1064-1077. google scholar
• Emamjome, F., Rabaa’i, A., Gable, G., & Bandara, W. (2013). Information quality in social media: a conceptual model. In Proceedings of the 17th Pacific Asia Conference on Information Systems (PACIS) (pp. 1-12). Association for Information Systems (AIS). google scholar
• Etemad, H. (2004). E-commerce: the emergence of a field and its knowledge network. International Journal of Technology Management, 28(7-8), 776-800. google scholar
• Eze, E., Gleasure, R., & Heavin, C. (2020). Mobile health solutions in developing countries: a stakeholder perspective. Health Systems, 9(3), 179-201. google scholar
• Farivar, S., Abouzahra, M., & Ghasemaghaei, M. (2020). Wearable device adoption among older adults: A mixed-methods study. International Journal of Information Management, 55, 102209. google scholar
• Falahat, M., Lee, Y. Y., Foo, Y. C., & Chia, C. E. (2019). A model for consumer trust in e-commerce. Asian Academy of Management Journal, 24(2), 93-109. google scholar
• Ferris, K. R. (1977). A test of the expectancy theory of motivation in an accounting environment. Accounting review, 605-615. google scholar
• Festinger, L. (1957). A theory of cognitive dissonance (Vol. 2). Stanford university press. google scholar
• Figueiredo, M. (2021, April). Competitive Advantages of Information Systems in the Resource-Based View. In 16th Doctoral Symposium in Informatics Engineering (Vol. 28, No. 1, p. 61). google scholar
• Force, J. T. (2018). Risk management framework for information systems and organizations. NIST Special Publication, 800, 37. google scholar
• Freeze, R. D., Alshare, K. A., Lane, P. L., & Wen, H. J. (2010). IS success model in e-learning context based on students’ perceptions. Journal of Information systems education, 21(2), 173-184. google scholar
• French, A. M., Guo, C., & Shim, J. P. (2014). Current status, issues, and future of bring your own device (BYOD). Communications of the Association for Information Systems, 35(1), 10. google scholar
• Gamache, R., Kharrazi, H., & Weiner, J. P. (2018). Public and population health informatics: the bridging of big data to benefit communities. Yearbook of medical informatics, 27(01), 199-206. google scholar
• Gang, K., & Ravichandran, T. (2014). Exploring the determinants of knowledge exchange in virtual communi-ties. IEEE Transactions on Engineering Management, 62(1), 89-99. google scholar
• Geeling, S. L., & Brown, I. (2020). Conceptualising ethics in the development of social information systems: A grounded theory of social media development. google scholar
• George, J., Gerhart, N., & Torres, R. (2021). Uncovering the truth about fake news: A research model grounded in multi-disciplinary literature. Journal of Management Information Systems, 38(4), 1067-1094. google scholar
• Ghezzi, A., Gastaldi, L., Lettieri, E., Martini, A., & Corso, M. (2016). A role for startups in unleashing the disruptive power of social media. International Journal of Information Management, 36(6), 1152-1159. google scholar
• Giniuniene, J., & Jurksiene, L. (2015). Dynamic capabilities, innovation and organizational learning: Interrela-tions and impact on firm performance. Procedia-Social and Behavioral Sciences, 213, 985-991. google scholar
• Glaser B. & Strauss A.L. (1967) The Discovery of Grounded Theory: Strategies for Qualitative Research. Aldine, Chicago. google scholar
• Goethals, G. R. (1986). Social comparison theory: Psychology from the lost and found. Personality and Social Psychology Bulletin, 12(3), 261-278. google scholar
• Goldkuhl, G., & Cronholm, S. (2019). Grounded Theory in Information Systems Research-from Themes in IS Discourse to Possible Developments. In ICIS. google scholar
• Gorla, N., & Paulraj, A. (1999). On the Maturity of the MIS Research Field. AMCIS, 630-632. google scholar
• Greiner, M. E., Böhmann, T., & Krcmar, H. (2007). A strategy for knowledge management. Journal of knowledge management, 11(6), 3-15. google scholar
• Gregor, S. (2006). The nature of theory in information systems. MIS quarterly, 611-642. google scholar
• Gupta, G., Tan, K. T. L., Ee, Y. S., & Phang, C. S. C. (2018). Resource-based view of information systems: Sus-tainable and transient competitive advantage perspectives. Australasian Journal of Information Systems, 22. google scholar
• Harmon-Jones, E., & Mills, J. (2019). An introduction to cognitive dissonance theory and an overview of current perspectives on the theory. google scholar
• Harmon-Jones, E., & Harmon-Jones, C. (2007). Cognitive dissonance theory after 50 years of development. Ze-itschrift für Sozialpsychologie, 38(1), 7-16. google scholar
• Hasanpour, A., Abdollahi, B., Jafarinia, S., & Memari, M. (2019). Designing Talent Management Model in the Banking Industry Using Grounded Theory. Management Studies in Development and Evolution, 28(93), 93-129. google scholar
• Hassan, M. U., Rehmani, M. H., & Chen, J. (2019). Privacy preservation in blockchain based IoT systems: Integration issues, prospects, challenges, and future research directions. Future Generation Computer Sys-tems, 97, 512-529. google scholar
• He, W., Tian, X., Tao, R., Zhang, W., Yan, G., & Akula, V. (2017). Application of social media analytics: A case of analyzing online hotel reviews. Online Information Review. google scholar
• Heckhausen, J., & Schulz, R. (1995). A life-span theory of control. Psychological review, 102(2), 284. google scholar
• Hofstede, G. (1980), Culture’s Consequences: International Differences in Work-Related Values, Sage, Beverly Hills, CA. google scholar
• Hofstede, G. (2001), Culture’s Consequences: Comparing Values, Behaviors, Institutions, and Organizations across Nations, 2nd ed., Sage, Thousand Oaks, CA. google scholar
• Hofstede, G., Hofstede, G. J. & Minkov, M. (2010). Cultures and organizations: Software of the mind. New York, NY: Mc Graw-Hill. google scholar
• Holden, R. J., & Karsh, B. T. (2010). The technology acceptance model: its past and its future in health care. Journal of biomedical informatics, 43(1), 159-172. google scholar
• Hossain, M. A., & Quaddus, M. (2012). Expectation-confirmation theory in information system research: A review and analysis. Information systems theory, 441-469. google scholar
• Hsu, C. H., Cai, L. A., & Li, M. (2010). Expectation, motivation, and attitude: A tourist behavioral model. Jour-nal of travel research, 49(3), 282-296. google scholar
• Huang, K. Y., Chengalur-Smith, I., & Pinsonneault, A. (2019). Sharing is caring: Social support provision and companionship activities in healthcare virtual support communities. MIS quarterly, 43(2), 395-424. google scholar
• Huberman, A. M., & Miles, M. B. (1994). Data management and analysis methods. In N. K. Denzin & Y. S. Lincoln (Eds.), Handbook of qualitative research (pp. 428-444). Sage Publications, Inc. google scholar
• Hung, M. C., & Jen, W. Y. (2012). The adoption of mobile health management services: an empirical study. Jour-nal of medical systems, 36(3), 1381-1388. google scholar
• Im, I., Hong, S., & Kang, M. S. (2011). An international comparison of technology adoption: Testing the UTAUT model. Information & management, 48(1), 1-8. google scholar
• Ip, R. K. F., & Wagner, C. (2008). Weblogging: A study of social computing and its impact on organizations. De-cision Support Systems, 45(2), 242-250. google scholar
• Isinkaye, F. O., Folajimi, Y. O., & Ojokoh, B. A. (2015). Recommendation systems: Principles, methods and evaluation. Egyptian informatics journal, 16(3), 261-273. google scholar
• Ismagilova, E., Hughes, L., Rana, N. P., & Dwivedi, Y. K. (2020). Security, privacy and risks within smart cities: Literature review and development of a smart city interaction framework. Information Systems Frontiers, 1-22. google scholar
• Israilidis, J., Odusanya, K., & Mazhar, M. U. (2021). Exploring knowledge management perspectives in smart city research: A review and future research agenda. International Journal of Information Management, 56, 101989. google scholar
• Ivanov, A., & Sharman, R. (2018). Impact of user-generated internet content on hospital reputational dynami-cs. Journal of management information systems, 35(4), 1277-1300. google scholar
• Ives, B., Hamilton, S., & Davis, G. B. (1980). A Framework for Research in Computer-Based Management Information Systems. Management Science, 26(9), 910-993. google scholar
• Jaakkola, H., & Thalheim, B. (2019). Cultures in information systems development. In Information Modelling and Knowledge Bases XXX (pp. 61-80). IOS Press. google scholar
• Jackson, S. (2011). Organizational culture and information systems adoption: A three-perspective approach. In-formation and Organization, 21(2), 57-83. google scholar
• Jackson, T. (2020). The legacy of Geert Hofstede. International Journal of Cross Cultural Management, 20(1), 3-6. google scholar
• Jarvenpaa, S. L., & Leidner, D. E. (1998). An information company in Mexico: Extending the resource-based view of the firm to a developing country context. Information systems research, 9(4), 342-361. google scholar
• Jeyaraj, A., & Zadeh, A. H. (2020). Evolution of information systems research: Insights from topic modeling. Information and Management, 57(4), 103207. https://doi.org/10.1016/j.im.2019.103207 google scholar
• Kadushin, C. (2004). Introduction to social network theory. Boston, Ma. google scholar
• Kalloniatis, C., Mouratidis, H., Vassilis, M., Islam, S., Gritzalis, S., & Kavakli, E. (2014). Towards the design of secure and privacy-oriented information systems in the cloud: Identifying the major concepts. Computer Standards & Interfaces, 36(4), 759-775. google scholar
• Kaminski, J. (2011). Diffusion of innovation theory. Canadian Journal of Nursing Informatics, 6(2), 1-6. google scholar
• Kang, K., Lu, J., Guo, L., & Li, W. (2021). The dynamic effect of interactivity on customer engagement behavior through tie strength: Evidence from live streaming commerce platforms. International Journal of Informa-tion Management, 56, 102251. google scholar
• Karasek III, R., & Bryant, P. (2012). Signaling theory: Past, present, and future. Academy of Strategic Mana-gement Journal, 11(1), 91. google scholar
• Katz, E., & Lazarsfeld, P. F. (2017). Personal influence: The part played by people in the flow of mass commu-nications. Routledge. google scholar
• Kaufmann, M. (2019). Big data management canvas: A reference model for value creation from data. Big Data and Cognitive Computing, 3(1), 19. google scholar
• Keen, P. G. W. (1980). MIS research: Reference discipline and cumulative tradition. Proceedings of the Inter-national Conference on Information Systems, 8-18. google scholar
• Kendall, K. E., & Kriebel, C. H. (1982). Contribution of the Management Sciences to the Evolution of Mana-gement Information System. Data Base, 14(1), 13-18. google scholar
• Khan, A., & Krishnan, S. (2021). Moderating effects of business-systems corruption on corruption in basic national institutions and electronic government maturity: Insights from a dynamic panel data analysis. In-ternational Journal of Information Management, 59, 102349. google scholar
• Khan, S. U., & Azeem, M. I. (2014). Intercultural challenges in offshore software development outsourcing relationships: an exploratory study using a systematic literature review. IET software, 8(4), 161-173. google scholar
• Kim, H. W., & Kankanhalli, A. (2009). Investigating user resistance to information systems implementation: A status quo bias perspective. MIS quarterly, 567-582. google scholar
• Kim, K. H., Kim, K. J., Lee, D. H., & Kim, M. G. (2019). Identification of critical quality dimensions for conti-nuance intention in mHealth services: Case study of onecare service. International Journal of Information Management, 46, 187-197. google scholar
• Kim, M. J., Lee, C. K., & Bonn, M. (2017). Obtaining a better understanding about travel-related purchase intentions among senior users of mobile social network sites. International Journal of Information Mana-gement, 37(5), 484-496. google scholar
• Kim, H. W., & Kankanhalli, A. (2009). Investigating user resistance to information systems implementation: A status quo bias perspective. MIS quarterly, 567-582. google scholar
• King, W. R., & Ko, D. G. (2001). Evaluating knowledge management and the learning organization: An informa-tion/knowledge value chain approach. Communications of the Association for Information Systems, 5(1), 14. google scholar
• Kiral, B. (2020). Nitel bir veri analizi yöntemi olarak doküman analizi. Siirt Üniversitesi Sosyal Bilimler Enstitüsü Dergisi, 8(15), 170-189. google scholar
• Kovacevic, A., Putnik, N., & Toskovic, O. (2020). Factors related to cyber security behavior. IEEE Access, 8, 125140-125148. google scholar
• Kreps, D. (2010). My social networking profile: copy, resemblance, or simulacrum? A post-structuralist interp-retation of social information systems. European Journal of Information Systems, 19(1), 104-115. google scholar
• Krogstie, J., Lyytinen, K., Opdahl, A. L., Pernici, B., Siau, K., & Smolander, K. (2004). Research areas and challenges for mobile information systems. International Journal of Mobile Communications, 2(3), 220-234. google scholar
• Kshetri, N. (2018). Blockchain’s roles in meeting key supply chain management objectives. International Jour-nal of Information Management, 39, 80-89. google scholar
• Koch, J. A., & Siering, M. (2015). Crowdfunding success factors: The characteristics of successfully funded projects on crowdfunding platforms. google scholar
• Korpela, M., Mursu, A., Soriyan, A., Eerola, A., Hakkinen, H., & Toivanen, M. (2004). Information systems re-search and development by activity analysis and development: dead horse or the next wave?. In Information systems research (pp. 453-471). Springer, Boston, MA. google scholar
• Koutsoukis, N. S., & Mitra, G. (2003). Decision modelling and information systems: The information value chain (Vol. 26). Springer Science & Business Media. google scholar
• Kreuter, M. W., & Lezin, N. (2002). Social capital theory. Emerging theories in health promotion practice and research: Strategies for improving public health, 15, 228. google scholar
• Kumar Das, T., & Mishra, M. R. (2011). A study on challenges and opportunities in master data management. In-ternational Journal of Database Management Systems, 3(2), 129-139. google scholar
• Kwon, O., Lee, N., & Shin, B. (2014). Data quality management, data usage experience and acquisition intention of big data analytics. International journal of information management, 34(3), 387-394. google scholar
• Lacity, M. C., Solomon, S., Yan, A., & Willcocks, L. P. (2011). Business process outsourcing studies: a critical review and research directions. Journal of information technology, 26(4), 221-258. google scholar
• Landry, M., & Banville, C. (1992). A disciplined methodological pluralism for MIS research. Accounting, ma-nagement and information technologies, 2(2), 77-97. google scholar
• Laumer, S., Maier, C., Eckhardt, A., & Weitzel, T. (2016). User personality and resistance to mandatory in-formation systems in organizations: A theoretical model and empirical test of dispositional resistance to change. Journal of Information Technology, 31(1), 67-82. google scholar
• Lazarus, R. S. (1991). Cognition and motivation in emotion. American psychologist, 46(4), 352. google scholar
• Leavitt, H. J., & Whisler, T. L. (1958). Management in the 1980’s. HarvardBusiness Review, 36(6), 41-48. google scholar
• Lee, I. (2021). Cybersecurity: Risk management framework and investment cost analysis. Business Hori-zons, 64(5), 659-671. google scholar
• Lee, G., Espinosa, J. A., & DeLone, W. (2012). Balancing rigor, standardization and agility in distributed IS development process: An ambidexterity perspective. Unpublished work, Working paper. google scholar
• Lee, S. (2007). Vroom’s expectancy theory and the public library customer motivation model. Library Review. google scholar
• Lee-Post, A. (2009). e-Learning Success Model: An Information Systems Perspective. Electronic Journal of e-learning, 7(1), 61-70. google scholar
• Legner, C., Eymann, T., Hess, T., Matt, C., Böhmann, T., Drews, P., ... & Ahlemann, F. (2017). Digitalization: opportunity and challenge for the business and information systems engineering community. Business & information systems engineering, 59(4), 301-308. google scholar
• Lehan, T., Hussey, H., & Mika, E. (2016). Reviewing the review: An assessment of dissertation reviewer feed-back quality. Journal of University Teaching & Learning Practice, 13(1), 4. google scholar
• Leidner, D. E., & Kayworth, T. (2006). A review of culture in information systems research: Toward a theory of information technology culture conflict. MIS quarterly, 357-399. google scholar
• Leong, C., Pan, S. L., Newell, S., & Cui, L. (2016). The emergence of self-organizing e-commerce ecosystems in remote villages of China. Mis Quarterly, 40(2), 475-484. google scholar
• Levy, M., Loebbecke, C., & Powell, P. (2003). SMEs, co-opetition and knowledge sharing: the role of informa-tion systems. European Journal of Information Systems, 12(1), 3-17. google scholar
• Li, J., Tao, F., Cheng, Y., & Zhao, L. (2015). Big data in product lifecycle management. The International Journal of Advanced Manufacturing Technology, 81(1), 667-684. google scholar
• Li, L., He, W., Xu, L., Ash, I., Anwar, M., & Yuan, X. (2019). Investigating the impact of cybersecurity policy awa-reness on employees’ cybersecurity behavior. International Journal of Information Management, 45, 13-24. google scholar
• Lim, W. M., Ahmed, P. K., & Ali, M. Y. (2022). Giving electronic word of mouth (eWOM) as a prepurchase behavior: The case of online group buying. Journal of Business Research, 146, 582-604. google scholar
• Lin, J., Lu, Y., Wang, B., & Wei, K. K. (2011). The role of inter-channel trust transfer in establishing mobile commerce trust. Electronic Commerce Research and Applications, 10(6), 615-625. google scholar
• Lin, J., Luo, Z., & Luo, X. (2020). Understanding the roles of institutional pressures and organizational innova-tiveness in contextualized transformation toward e-business: Evidence from agricultural firms. International Journal of Information Management, 51, 102025. google scholar
• Liu, F., Ngai, E., & Ju, X. (2019). Understanding mobile health service use: An investigation of routine and emergency use intentions. International Journal of Information Management, 45, 107-117. google scholar
• Liu, L., Lee, M. K., Liu, R., & Chen, J. (2018). Trust transfer in social media brand communities: The role of consumer engagement. International Journal of Information Management, 41, 1-13. google scholar
• Liu, N., Zhang, Z., Ho, A. F. W., & Ong, M. E. H. (2018). Artificial intelligence in emergency medicine. J Emerg Crit Care Med, 2(4), 82-82. google scholar
• Liu, Y., Soroka, A., Han, L., Jian, J., & Tang, M. (2020). Cloud-based big data analytics for customer insight-dri-ven design innovation in SMEs. International Journal of Information Management, 51, 102034. google scholar
• Liu, X., & Zongrun, W. (2020). Can the development of a patient’s condition be predicted through intelligent inquiry under the e-health business mode? Sequential feature map-based disease risk prediction upon fe-atures selected from cognitive diagnosis big data. International Journal of Information Management, 50, 463-486. google scholar
• Ma, Y., & Turel, O. (2019). Information technology use for work and technostress: effects of power distance and masculinity culture dimensions. Cognition, Technology & Work, 21(1), 145-157. google scholar
• Maier, C. (2020). Overcoming pathological IT use: How and why IT addicts terminate their use of games and social media. International Journal of Information Management, 51, 102053. google scholar
• Maillet, E., Mathieu, L., & Sicotte, C. (2015). Modeling factors explaining the acceptance, actual use and satisfaction of nurses using an Electronic Patient Record in acute care settings: An extension of the UTA-UT. International journal of medical informatics, 84(1), 36-47. google scholar
• Magnuson, J. A., & Dixon, B. E. (Eds.). (2020). Public health informatics and information systems. Springer Nature. google scholar
• Marcos-Cuevas, J., Prior, D. D., & Enz, M. G. (2015). Value co-destruction in complex B2B relations: concep-tualization and mechanisms. In Ideas in marketing: Finding the new and polishing the old (pp. 153-153). Springer, Cham. google scholar
• Markus, M. L., & Silver, M. S. (2008). A foundation for the study of IT effects: A new look at DeSanctis and Po-ole’s concepts of structural features and spirit. Journal of the Association for Information systems, 9(10), 5. google scholar
• Martinsons, M. G., Davison, R. M., & Martinsons, V. (2009). How culture influences IT-enabled organizational change and information systems. Communications of the ACM, 52(4), 118-123. google scholar
• Mavlanova, T., Benbunan-Fich, R., & Koufaris, M. (2012). Signaling theory and information asymmetry in online commerce. Information & management, 49(5), 240-247. google scholar
• Mazaheri, E., Lagzian, M., & Hammat, Z. (2020). Research directions in information systems field, current status and future trends: A literature analysis of AIS basket of top journals. Australasian Journal of Information Systems, 24, 1-25. https://doi.org/10.3127/ajis.v24i0.2921 google scholar
• Mehrabian, A., & Russell, J. A. (1974). An approach to environmental psychology. the MIT Press. google scholar
• Minkov, M., & Kaasa, A. (2020). A test of Hofstede’s model of culture following his own approach. Cross Cultural & Strategic Management, 28(2), 384-406. google scholar
• Mu, R., & Wang, H. (2022). A systematic literature review of open innovation in the public sector: comparing barriers and governance strategies of digital and non-digital open innovation. Public Management Re-view, 24(4), 489-511. google scholar
• Mustafa, S. Z., Kar, A. K., & Janssen, M. F. W. H. A. (2020). Understanding the impact of digital service failure on users: Integrating Tan’s failure and DeLone and McLean’s success model. International Journal of Information Management, 53, 102119. google scholar
• Nurhayati, S., Anandari, D., & Ekowati, W. (2019). Unified Theory of Acceptance and Usage of Technology (UTAUT) model to predict health information system adoption. KEMAS: Jurnal Kesehatan Masyara-kat, 15(1), 89-97. google scholar
• O’Brien, J. (1999). Management Information Systems — Managing Information Technology in the Internetworked Enterprise. McGraw-Hill. google scholar
• Ogink, T., & Dong, J. Q. (2019). Stimulating innovation by user feedback on social media: The case of an online user innovation community. Technological Forecasting and Social Change, 144, 295-302. google scholar
• Oh, W., Choi, J. N., & Kim, K. (2005). Coauthorship dynamics and knowledge capital: The patterns of cross-dis-ciplinary collaboration in information systems research. Journal of Management Information Systems, 22(3), 266-292. https://doi.org/10.2753/mis0742-1222220309 google scholar
• Okoli, C., & Schabram, K. (2010). Conducting a Systematic Literature Review of Information Systems Research. In Sprouts:Working Papers on Information Systems (Vol. 10, Issue 26). https://doi.org/10.2139/ssrn.1954824 google scholar
• Oliver, R. L. (1980). A cognitive model of the antecedents and consequences of satisfaction decisions. Journal of marketing research, 17(4), 460-469. google scholar
• Oliveira, T., Martins, R., Sarker, S., Thomas, M., & Popovic, A. (2019). Understanding SaaS adoption: The moderating impact of the environment context. International Journal of Information Management, 49, 1-12. google scholar
• Orlikowski, W. J., & Baroudi, J. J. (1991). Studying information technology in organizations: Research appro-aches and assumptions. Information systems research, 2(1), 1-28. google scholar
• Osatuyi, B., & Qin, H. (2018). How vital is the role of effect on post-adoption behaviors? An examination of social commerce users. International Journal of Information Management, 40, 175-185. google scholar
• Özkoc, E. E., & Kefkir, T. A. (2022). The intellectual structure of the information systems field: Research styles and publication patterns of North American and European paradigms. Canadian Journal of Information and Library Science, 45(1), 1-27. google scholar
• Palvia, M. D., & Kakhki, M. D. (2016). Methodological and topic trends in JGITM: A 10-Year retrospect. Jour-nal of Global Information Technology Management, 19(3), 149-153. google scholar
• Palvia, P., Kakhki, M. D., Ghoshal, T., Uppala, V., & Wang, W. (2017). A decade plus long introspection of research published in Information & Management. Information & Management, 54(2), 218-227. google scholar
• Palvia, P., Leary, D., Mao, E., Midha, V., Pinjani, P., & Salam, A. (2004). Research methodologies in MIS: an update. Communications of the Association for Information Systems, 14(1), 24. google scholar
• Palvia, Prashant, Kakhki, M. D., Ghoshal, T., Uppala, V., & Wang, W. (2015). Methodological and topic trends in information systems research: A meta-analysis of IS journals. Communications of the Association for Information Systems, 37(1), 630-650. https://doi.org/10.17705/1cais.03730 google scholar
• Palvia, Prashant, Mao, E., Salam, A. F., & Soliman, K. S. (2003). Management Information Systems Research: What’s There in a Methodology? Communications of the Association for Information Systems, 11(March). https://doi.org/10.17705/1cais.01116 google scholar
• Palvia, Prashant, Patrick Y.K., C., Daneshvar Kakhki, M., Ghoshal, T., Uppala, V., & Wang, W. (2017). A decade plus long introspection of research published in Information & Management. Information and Management, 54(2), 218-227. https://doi.org/10.1016/j.im.2016.06.006 google scholar
• Palvia, Prashant, Pinjani, P., & Sibley, E. H. (2007). A profile of information systems research published in Infor-mation & Management. Information and Management, 44(1), 1-11. https://doi.org/10.1016/j.im.2006.10.002 google scholar
• Palmgreen, P. (1984). Uses and gratifications: A theoretical perspective. Annals of the international communi-cation association, 8(1), 20-55. google scholar
• Parameswaran, M., & Whinston, A. B. (2007). Social computing: An overview. Communications of the associ-ation for Information Systems, 19(1), 37. google scholar
• Parthiban, R., Qureshi, I., Bandyopadhyay, S., & Jaikumar, S. (2021). Digitally mediated value creation for non-commodity base of the pyramid producers. International Journal of Information Management, 56, 102256. google scholar
• Pekkola, S., Hekkala, R., Rossi, M., & Smolander, K. (2019). The magical “we”: Enhancing collaboration trans-parency in grounded theory method in information systems research. Communications of the Association for Information Systems, 45(1), 16. google scholar
• Petronio, S. (2002). Boundaries ofprivacy: Dialectics of disclosure. Suny Press. google scholar
• Pinheiro, A. L. S., Andrade, K. T. S., Silva, D. D. O., Zacharias, F. C. M., Gomide, M. F. S., & Pinto, I. C. (2016). Health management: the use of information systems and knowledge sharing for the decision making process. Texto & Contexto-Enfermagem, 25. google scholar
• Protogerou, A., Caloghirou, Y., & Lioukas, S. (2012). Dynamic capabilities and their indirect impact on firm performance. Industrial and corporate change, 21(3), 615-647. google scholar
• Ragini, J. R., Anand, P. R., & Bhaskar, V. (2018). Big data analytics for disaster response and recovery through sentiment analysis. International Journal ofInformation Management, 42, 13-24. google scholar
• Rajput, S., & Singh, S. P. (2019). Connecting circular economy and industry 4.0. International Journal of In-formation Management, 49, 98-113. google scholar
• Rana, N. P., Dwivedi, Y. K., Williams, M. D., & Weerakkody, V. (2015). Investigating success of an e-govern-ment initiative: Validation of an integrated IS success model. Information systems frontiers, 17(1), 127-142. google scholar
• Reilly, E. (2003). Management Information Systems. In Encyclopedia of Computer Science (pp. 1070-1076). John Wiley & Sons. google scholar
• Robey, D. (1996). Research Commentary: Diversity in Information Systems Research: Threat, Promise, and Responsibility. Information Systems Research, 7(4), 400-408. google scholar
• Rodriguez-BoHvar, M. P., Alcaide-Munoz, L., & Cobo, M. J. (2018). Analyzing the scientific evolution and impact of e-Participation research in JCR journals using science mapping. International Journal of Infor-mation Management, 40, 111-119. google scholar
• Rogers, E. M. (1995). Diffusion of Innovations: modifications of a model for telecommunications. In Die diffu-sion von innovationen in der telekommunikation (pp. 25-38). Springer, Berlin, Heidelberg. google scholar
• Rosenfeld, P., Edwards, J. E., & Thomas, M. D. (2015). Impression management. Wiley Encyclopedia of ma-nagement, 1-2. google scholar
• Rusdina, H. A., & Irfan, M. (2014). Sistem informasi manajemen. Pustaka Setia. google scholar
• Ryan, R. M., & Deci, E. L. (2000). When rewards compete with nature: The undermining of intrinsic motivation and self-regulation. In Intrinsic and extrinsic motivation (pp. 13-54). Academic Press. google scholar
• Roztocki, N., Strzelczyk, W., & Weistroffer, H. R. (2020). Sustaining organizational operations during an outb-reak: Problems, needs, and opportunities for information systems. Information Systems Management, 37(4), 348-356. google scholar
• Qasem, Z. (2021). The effect of positive TRI traits on centennials adoption of try-on technology in the context of E-fashion retailing. International journal of information management, 56, 102254. google scholar
• Quan, J., & Cha, H. (2010). IT certifications, outsourcing and information systems personnel turnover. Infor-mation Technology & People. google scholar
• Sabri, O. M. A. R., Hakim, T. A. H. I. R., & Zaila, B. A. D. R. I. A. H. (2020). The role of hofstede dimensions on the readiness of IoT implementation case study: Saudi universities. Journal of Theoretical and Applied Information Technology, 98(16), 1-12. google scholar
• Salcedo, E., & Gupta, M. (2021). The effects of individual-level espoused national cultural values on the wil-lingness to use Bitcoin-like blockchain currencies. International Journal of Information Management, 60, 102388. google scholar
• Saylık, A. (2019). Hofstede’nin Kültür Boyutları Ölçeğinin Türkçeye Uyarlanması; Geçerlik Ve Güvenirlik Çalışması. Uluslararası Türkçe Edebiyat Kültür Eğitim (Teke) Dergisi, 8(3), 1860-1881. google scholar
• Sato, H. (2019). Using grounded theory approach in management research. Annals of Business Administrative Science, https://doi.org/10.7880/abas.0190326a google scholar
• Saura, J. R., Ribeiro-Soriano, D., & Palacios-Marques, D. (2021). Evaluating security and privacy issues of social networks based information systems in Industry 4.0. Enterprise Information Systems, 1-17. google scholar
• Schaupp, L. C., Belanger, F., & Fan, W. (2009). Examining the success of websites beyond e-commerce: An extension of the IS success model. Journal of Computer Information Systems, 49(4), 42-52. google scholar
• Sebastian, K. (2019). Distinguishing between the strains grounded theory: Classical, interpretive and construc-tivist. Journal for Social Thought, 3(1). google scholar
• Seh, A. H., Zarour, M., Alenezi, M., Sarkar, A. K., Agrawal, A., Kumar, R., & Ahmad Khan, R. (2020, June). Healthcare data breaches: insights and implications. In Healthcare (Vol. 8, No. 2, p. 133). Multidisciplinary Digital Publishing Institute. google scholar
• Shah, M. (2014). Impact of Management Information Systems (MIS) on School Administration: What the Literature Says. Procedia - Social and Behavioral Sciences, 116, 2799-2804. https://doi.org/10.1016Zj. sbspro.2014.01.659 google scholar
• Shahzad, A., Hassan, R., Abdullah, N. I., Hussain, A., & Fareed, M. (2020). COVID-19 impact on e-com-merce usage: An empirical evidence from Malaysian healthcare industry. Humanities & Social Sciences Reviews, 8(3), 599-609. google scholar
• Sharifian, R., Askarian, F., Nematolahi, M., & Farhadi, P. (2014). Factors influencing nurses’ acceptance of hospital information systems in Iran: application of the Unified Theory of Acceptance and Use of Techno-logy. Health Information Management Journal, 43(3), 23-28. google scholar
• Sharma, R., Mishra, R., & Mishra, A. (2021). Determinants of satisfaction among social entrepreneurs in e-Go-vernment services. International Journal of Information Management, 60, 102386. google scholar
• Sheng, M. L. (2019). Foreign tacit knowledge and a capabilities perspective on MNEs’ product innovativeness: Examining source-recipient knowledge absorption platforms. International Journal of Information Mana-gement, 44, 154-163. google scholar
• Shkurti, R., & Manoku, E. (2021). Factors of success in implementation of enterprise resource planning sys-tems. WSEAS Trans. Bus. Econ, 18, 1084-1093. google scholar
• Soja, P. (2006). Success factors in ERP systems implementations: lessons from practice. Journal of enterprise information management.19(6), 646-661. google scholar
• Spanaki, K., Karafili, E., & Despoudi, S. (2021). AI applications of data sharing in agriculture 4.0: A framework for role-based data access control. International Journal of Information Management, 59, 102350. google scholar
• Spence, M. (2002). Signaling in retrospect and the informational structure of markets. American Economic Review, 92(3), 434-459. google scholar
• Spohrer, K., Fallon, M., Hoehle, H., & Heinzl, A. (2021). Designing effective mobile health apps: Does com-bining behavior change techniques really create synergies? Journal of Management Information Sys-tems, 38(2), 517-545. google scholar
• Stahl, B. C., & Wright, D. (2018). Ethics and privacy in AI and big data: Implementing responsible research and innovation. IEEE Security & Privacy, 16(3), 26-33. google scholar
• Stets, J. E., & Burke, P. J. (2000). Identity theory and social identity theory. Social psychology quarterly, 224237. google scholar
• Stewart, K. J. (2003). Trust transfer on the world wide web. Organization Science, 14(1), 5-17. google scholar
• Stewart, O., Lubensky, D., & Huerta, J. M. (2010). Crowdsourcing participation inequality: a SCOUT model for the enterprise domain. In Proceedings of the ACM SIGKDD Workshop on Human Computation (pp. 30-33). google scholar
• Suddaby, R. (2006). From the Editors: What Grounded Theory Is Not. The Academy of Management Jour-nal, 49(4), 633-642. http://www.jstor.org/stable/20159789 google scholar
• Sun, Y., Yang, C., Shen, X. L., & Wang, N. (2020). When digitalized customers meet digitalized services: A digitalized social cognitive perspective of omnichannel service usage. International Journal of Information Management, 54, 102200. google scholar
• Swanson, E. B., & Ramiller, N. (1993). Information systems research thematics: Submissions to a new journal, 1987-1992. Information Systems Research, 4(4), 299-330. google scholar
• Taher, M. (2012). Resource-based view theory. In Information systems theory (pp. 151-163). Springer, New York, NY. google scholar
• Taherdoost, H. (2018). A review of technology acceptance and adoption models and theories. Procedia Manu-facturing, 22, 960-967. google scholar
• Taj, S. A. (2016). Application of signaling theory in management research: Addressing major gaps in the theo-ry. European Management Journal, 34(4), 338-348. google scholar
• Tallon, P. P. (2011). Value chain linkages and the spillover effects of strategic information technology alignment: A process-level view. Journal of Management Information Systems, 28(3), 9-44. google scholar
• Taylor, S., & Todd, P. (1995). Decomposition and crossover effects in the theory of planned behavior: A study of consumer adoption intentions. International journal of research in marketing, 12(2), 137-155. google scholar
• Teo, T. S., Lim, V. K., & Lai, R. Y. (1999). Intrinsic and extrinsic motivation in Internet usage. Omega, 27(1), 25-37. google scholar
• Teo, T. S., & Ang, J. S. (2001). An examination of major IS planning problems. International Journal of Infor-mation Management, 21(6), 457-470. google scholar
• Tidd, J. (2001). Innovation management in context: environment, organization and performance. International journal of management reviews, 3(3), 169-183. google scholar
• Trabucchi, D., & Buganza, T. (2018). Data-driven innovation: switching the perspective on Big Data. European Journal of Innovation Management, 22(1), 23-40. google scholar
• Urista, M. A., Dong, Q., & Day, K. D. (2009). Explaining why young adults use MySpace and Facebook through the uses and gratifications theory. Human Communication, 12(2), 215-229. google scholar
• Uzunoğlu, E., & Kip, S. M. (2014). Brand communication through digital influencers: Leveraging blogger engagement. International journal of information management, 34(5), 592-602. google scholar
• Van Der Aalst, W. M., La Rosa, M., & Santoro, F. M. (2016). Business process management. Business & Infor-mation Systems Engineering, 58(1), 1-6. google scholar
• Varajâo, J., Cruz-Cunha, M. M., & da Gloria Fraga, M. (2017). IT/IS outsourcing in large companies-Motiva-tions and risks. Procedia Computer Science, 121, 1047-1061. google scholar
• Veltri, N. F., Saunders, C. S., & Kavan, C. B. (2008). Information systems backsourcing: Correcting problems and responding to opportunities. California Management Review, 51(1), 50-76. google scholar
• Venkatesh, V., & Bala, H. (2008). Technology acceptance model 3 and a research agenda on interventions. De-cision sciences, 39(2), 273-315. google scholar
• Venkatesh, V., & Davis, F. D. (2000). A theoretical extension of the technology acceptance model: Four longi-tudinal field studies. Management science, 46(2), 186-204. google scholar
• Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 425-478. google scholar
• Venkatesh, V., Thong, J. Y., & Xu, X. (2012). Consumer acceptance and use of information technology: exten-ding the unified theory of acceptance and use of technology. MIS Quarterly, 157-178. google scholar
• Vessey, I., Ramesh, V., & Glass, R. L. (2002). Research in information systems: An empirical study of diversity in the discipline and its journals. Journal of Management Information Systems, 19(2), 129-174. https://doi. org/10.1080/07421222.2002.11045721 google scholar
• Vieira, V. A. (2013). Stimuli-organism-response framework: A meta-analytic review in the store environ-ment. Journal ofBusiness Research, 66(9), 1420-1426. google scholar
• Wade, M., & Hulland, J. (2004). The resource-based view and information systems research: Review, extension, and suggestions for future research. MIS Quarterly, 107-142. google scholar
• Wang, Y. S., & Liao, Y. W. (2008). Assessing eGovernment systems success: A validation of the DeLone and McLean model of information systems success. Government information quarterly, 25(4), 717-733. google scholar
• Wang, N., Sun, Y., Shen, X. L., & Zhang, X. (2018). A value-justice model of knowledge integration in wikis: The moderating role of knowledge equivocality. International journal of information management, 43, 64-75. google scholar
• Wang, C., Teo, T. S., & Janssen, M. (2021). Public and private value creation using artificial intelligence: An empirical study of AI voice robot users in Chinese public sector. International Journal of Information Management, 61, 102401. google scholar
• Ward, J., & Griffiths, P. (1996). Strategic Planning for Information Systems. John Wiley & Sons. google scholar
• Waston, H. J., Carroll, A. B., & Mann, R. I. (1987). Information Systems for Management. Business Publication. google scholar
• Watson, L., & Spence, M. T. (2007). Causes and consequences of emotions on consumer behaviour: A review and integrative cognitive appraisal theory. European Journal ofMarketing. google scholar
• Wernerfelt, B. (1984). A Resource-Based View of the Firm. Strategic Management Journal, 5(2), 171-180. DOI: https://doi.org/10.1002/smj.4250050207 google scholar
• Wigfield, A. (1994). Expectancy-value theory of achievement motivation: A developmental perspective. Edu-cational psychology review, 6(1), 49-78. google scholar
• Wilson, C., Hargreaves, T., & Hauxwell-Baldwin, R. (2017). Benefits and risks of smart home techno-logies. Energy Policy, 103, 72-83. google scholar
• Worrell, J., Wasko, M., & Johnston, A. (2013). Social network analysis in accounting information systems research. International journal of accounting information systems, 14(2), 127-137. google scholar
• Wu, C., Huang, S., & Yuan, Q. (2022). Seven Important Theories in Information Management and Information System Empirical Research: A Systematic Review and Future Directions. Data and Information Manage-ment, 6(1), 1-23. https://doi.org/10.2478/dim-2021-0016 google scholar
• Xue, Y., Sankar, C. S., & Mbarika, V. W. (2005). Information technology outsourcing and virtual team. Journal of Computer Information Systems, 45(2), 9-16. google scholar
• Y an, M., Filieri, R., & Gorton, M. (2021). Continuance intention of online technologies: A systematic literature review. International Journal of Information Management, 58, 102315. google scholar
• Y an, L., & Pedraza-Martinez, A. J. (2019). Social media for disaster management: Operational value of the social conversation. Production and Operations Management, 28(10), 2514-2532. google scholar
• Y ang, B., Liu, Y., Liang, Y., & Tang, M. (2019). Exploiting user experience from online customer reviews for product design. International Journal of Information Management, 46, 173-186. google scholar
• Yahia, N. B., Eljaoued, W., Saoud, N. B. B., & Colomo-Palacios, R. (2021). Towards sustainable collaborative networks for smart cities co-governance. International journal of information management, 56, 102037. google scholar
• Yıldırım A. & Şimşek, H. (2018). Sosyal Bilimlerde Nitel Araştırma Yöntemleri (11. Baskı). Seçkin Yayıncılık: Ankara. google scholar
• Yin, R. K. (2017). Durum Çalışması Araştırması Uygulamaları (3. Basımdan Çeviri, Çeviri: İlhan Günbayı). Nobel Akademik yayıncılık: İstanbul. google scholar
• Yu, Q., Foroudi, P., & Gupta, S. (2019). Far apart yet close by Social media and acculturation among international students in the UK. Technological Forecasting and Social Change, 145, 493-502. google scholar
• Zhang, Z. (2020). Competitive pricing strategies for software and SaaS products. Information & Management, 57(8), 103367. google scholar
• Zhang, L., Shao, Z., Li, X., & Feng, Y. (2021). Gamification and online impulse buying: The moderating effect of gender and age. International Journal of Information Management, 61, 102267. google scholar