Understanding the Implementation of Social Customer Relationship Management in the North African Context: An Integrated Theory Perspective

References

• Ahani, A., Rahim, N., & Nilashi, M. (2017). Forecasting social CRM adoption in SMEs: A combined SEM-neural network method. Computers in Human Behavior, 75, 560–578. doi:https://doi.org/10.1016/j.chb.2017.05.032
   Web of Science ®Google Scholar
• Ahuja, M. K. (2002). Women in the information technology profession: A literature review, synthesis and research agenda. European Journal of Information Systems, 11(1), 20–34. doi:https://doi.org/10.1057/palgrave.ejis.3000417
   Web of Science ®Google Scholar
• Alt, R., & Reinhold, O. (2012). Social-customer-relationship-management (Social-CRM). Wirtschaftsinformatik, 54(5), 281–286. doi:https://doi.org/10.1007/s11576-012-0330-6
   Google Scholar
• Ameen, N., Willis, R., & Shah, M. H. (2018). An examination of the gender gap in smartphone adoption and use in Arab countries: A cross-national study. Computers in Human Behavior, 89, 148–162. doi:https://doi.org/10.1016/j.chb.2018.07.045
   Web of Science ®Google Scholar
• Anwar, M., He, W., Ash, I., Yuan, X., Li, L., & Xu, L. (2017). Gender difference and employees’ cybersecurity behaviors. Computers in Human Behavior, 69, 437–443. doi:https://doi.org/10.1016/j.chb.2016.12.040
   Web of Science ®Google Scholar
• Appel, G., Grewal, L., Hadi, R., & Stephen, A. T. (2020). The future of social media in marketing. Journal of the Academy of Marketing Science, 48(1), 79–95. doi:https://doi.org/10.1007/s11747-019-00695-1
   Web of Science ®Google Scholar
• Askool, S., & Nakata, K. (2012). Investigation into the adoption intention of social CRM in Saudi banks. In International Conference on Information Society (pp. 402–407). London, United Kingdom: IEEE.
   Google Scholar
• Askool, S., & Nakata, K. (2011). A conceptual model for acceptance of social CRM systems based on a scoping study. AI & Society, 26(3), 205–220. doi:https://doi.org/10.1007/s00146-010-0311-5
   Google Scholar
• Avlonitis, G. J., & Panagopoulos, N. G. (2005). Antecedents and consequences of CRM technology acceptance in the sales force. Industrial Marketing Management, 34(4), 355–368. doi:https://doi.org/10.1016/j.indmarman.2004.09.021
   Web of Science ®Google Scholar
• Awa, H., Ojiabo, O., & Orokor, L. (2017). Integrated technology-organization-environment (TOE) taxonomies for technology adoption. Journal of Enterprise Information Management, 30(6), 893–921. doi:https://doi.org/10.1108/JEIM-03-2016-0079
   Web of Science ®Google Scholar
• Bagchi, K. K., & Udo, G. J. (2010). An empirical assessment of ICT diffusion in Africa and OECD. International Journal of Information Technology and Management, 9(2), 162–184. doi:https://doi.org/10.1504/IJITM.2010.030459
   Google Scholar
• Bagozzi, R. P. (2007). The legacy of the technology acceptance model and a proposal for a paradigm shift. Journal of the Association for Information Systems, 8(4), 244–254. doi:https://doi.org/10.17705/1jais.00122
   Web of Science ®Google Scholar
• Bahri-Ammari, N., & Nusair, K. (2015). Key factors for a successful implementation of a customer relationship management technology in the Tunisian hotel sector. Journal of Hospitality and Tourism Technology, 6(3), 271–287. doi:https://doi.org/10.1108/JHTT-08-2014-0042
   Web of Science ®Google Scholar
• Baker, J. (2012). The technology–organization–Environment framework. In Y. Dwivedi, M. Wade, & S. Schneberger (Eds.), Information systems theory (pp. 231–245). New York, NY: Springer.
   Google Scholar
• Blut, M., Evanschitzky, H., Backhaus, C., Rudd, J., & Marck, M. (2016). Securing business-to-business relationships: The impact of switching costs. Industrial Marketing Management, 52, 82–90. doi:https://doi.org/10.1016/j.indmarman.2015.05.010
   Web of Science ®Google Scholar
• Braojos-Gomez, J., Benitez-Amado, J., & Llorens-Montes, F. (2015). How do small firms learn to develop a social media competence? International Journal of Information Management, 35(4), 443–458. doi:https://doi.org/10.1016/j.ijinfomgt.2015.04.003
   Web of Science ®Google Scholar
• Bruno, G., Esposito, G., Iandoli, L., & Raffa, M. (2004). The ICT service industry in North Africa and the role of partnerships in Morocco. Journal of Global Information Technology Management, 7(3), 5–26. doi:https://doi.org/10.1080/1097198X.2004.10856376
   Google Scholar
• Choden, K., Bagchi, K. K., Udo, G. J., Kirs, P. J., & Frankwick, G. (2019). The influence of cultural values on information and communication technology (ICT) diffusion levels: A cross-national study. Journal of Global Information Technology Management, 22(4), 243–256. doi:https://doi.org/10.1080/1097198X.2019.1679586
   Web of Science ®Google Scholar
• Choudhury, M., & Harrigan, P. (2014). CRM to social CRM: The integration of new technologies into customer relationship management. Journal of Strategic Marketing, 22(2), 149–176. doi:https://doi.org/10.1080/0965254X.2013.876069
   Google Scholar
• Datta, A. (2009). Cisco systems: Implementing “Customized” ERP in nine months and within budget. Journal of Cases on Information Technology (JCIT), 11(2), 56–70. doi:https://doi.org/10.4018/jcit.2009040105
   Google Scholar
• Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319–340. doi:https://doi.org/10.2307/249008
   Web of Science ®Google Scholar
• Di Tommaso, G., Gatti, M., Iannotta, M., Mehra, A., Stilo, G., & Velardi, P. (2020). Gender, rank, and social networks on an enterprise social media platform. Social Networks, 62, 58–67. doi:https://doi.org/10.1016/j.socnet.2020.02.007
   Web of Science ®Google Scholar
• Dong, J. Q., & Zhang, X. (2011). Gender differences in adoption of information systems: New findings from China. Computers in Human Behavior, 27(1), 384–390. doi:https://doi.org/10.1016/j.chb.2010.08.017
   Web of Science ®Google Scholar
• Elbanna, A. (2013). Top management support in multiple-project environments: An in-practice view. European Journal of Information Systems, 22(3), 278–294. doi:https://doi.org/10.1057/ejis.2012.16
   Web of Science ®Google Scholar
• Elbeltagi, I., Hamad, H., Moizer, J., & Abou-Shouk, M. A. (2016). Levels of business to business e-commerce adoption and competitive advantage in small and medium-sized enterprises: A comparison study between Egypt and the United States. Journal of Global Information Technology Management, 19(1), 6–25. doi:https://doi.org/10.1080/1097198X.2016.1134169
   Web of Science ®Google Scholar
• Faase, R., Helms, R., & Spruit, M. (2011). Web 2.0 in the CRM domain: Defining social CRM. International Journal of Electronic Customer Relationship Management, 5(1), 1–22. doi:https://doi.org/10.1504/IJECRM.2011.039797
   Google Scholar
• Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39–50. doi:https://doi.org/10.1177/002224378101800104
   Web of Science ®Google Scholar
• Gangwar, H., Date, H., & Raoot, A. (2014). Review on IT adoption: Insights from recent technologies. Journal of Enterprise Information Management, 27(4), 488–502. doi:https://doi.org/10.1108/JEIM-08-2012-0047
   Google Scholar
• Gensler, S., Völckner, F., Liu-Thompkins, Y., & Wiertz, C. (2013). Managing brands in the social media environment. Journal of Interactive Marketing, 27(4), 242–256. doi:https://doi.org/10.1016/j.intmar.2013.09.004
   Web of Science ®Google Scholar
• Greenberg, P. (2010). The impact of CRM 2.0 on customer insight. Journal of Business & Industrial Marketing, 25(6), 410–419. doi:https://doi.org/10.1108/08858621011066008
   Google Scholar
• Hair, J. F., Hult, G. T., Ringle, C., & Sarstedt, M. (2017). A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM) (2nd ed.). Los Angeles, US: Sage Publications.
   Google Scholar
• Hair, J. F., Ringle, C. M., & Sarstedt, M. (2011). PLS-SEM: Indeed a silver bullet. Journal of Marketing Theory and Practice, 19(2), 139–152. doi:https://doi.org/10.2753/MTP1069-6679190202
   Google Scholar
• Hair, J. F., Risher, J. J., Sarstedt, M., & Ringle, C. M. (2019). When to use and how to report the results of PLS-SEM. European Business Review, 31(1), 2–24. doi:https://doi.org/10.1108/EBR-11-2018-0203
   Web of Science ®Google Scholar
• Hair, J. F., Sarstedt, M., Ringle, C. M., & Mena, J. A. (2012). An assessment of the use of partial least squares structural equation modeling in marketing research. Journal of the Academy of Marketing Science, 40(3), 414–433. doi:https://doi.org/10.1007/s11747-011-0261-6
   Web of Science ®Google Scholar
• Hameed, M., Counsell, S., & Swift, S. (2012). A meta-analysis of relationships between organizational characteristics and IT innovation adoption in organizations. Information & Management, 49(5), 218–232. doi:https://doi.org/10.1016/j.im.2012.05.002
   Google Scholar
• Harrigan, P., & Miles, M. (2014). From e-CRM to s-CRM. Critical factors underpinning the social CRM activities of SMEs. Small Enterprise Research, 21(1), 99–116. doi:https://doi.org/10.1080/13215906.2014.11082079
   Google Scholar
• Hasani, T., Bojei, J., & Dehghantanha, A. (2017). Investigating the antecedents to the adoption of SCRM technologies by start-up companies. Telematics and Informatics, 34(5), 655–675. doi:https://doi.org/10.1016/j.tele.2016.12.004
   Web of Science ®Google Scholar
• Hsu, P. F., Kraemer, K. L., & Dunkle, D. (2006). Determinants of e-business use in US firms. International Journal of Electronic Commerce, 10(4), 9–45. doi:https://doi.org/10.2753/JEC1086-4415100401
   Web of Science ®Google Scholar
• Hung, S., Huang, Y., Lin, C., Chen, K., & Tarn, J. (2016, June 27–July 1). Factors influencing business intelligence systems implementation success in the enterprises. In Proceedings of the 20th Pacific Asia Conference on Information Systems (PACIS 2016). Chiayi, Taiwan.
   Google Scholar
• Hung, S., Hung, W., Tsai, C., & Jiang, S. (2010). Critical factors of hospital adoption on CRM system: Organizational and information system perspectives. Decision Support Systems, 48(4), 592–603. doi:https://doi.org/10.1016/j.dss.2009.11.009
   Web of Science ®Google Scholar
• Hung, W., Chang, L., Lin, C., & Hsiao, C. (2014). E-readiness of website acceptance and implementation in SMEs. Computers in Human Behavior, 40, 44–55. doi:https://doi.org/10.1016/j.chb.2014.07.046
   Web of Science ®Google Scholar
• Hwang, Y. (2011). Investigating the influence of cultural orientation and innovativeness on ERP adoption. Journal of Global Information Technology Management, 14(3), 54–74. doi:https://doi.org/10.1080/1097198X.2011.10856543
   Web of Science ®Google Scholar
• Hyun, J. S., & Pae, J. H. (2005). The role of switching costs in technology commitment: The case of high technology market. ACR Asia-Pacific Advances, 6, 303–308 .
   Google Scholar
• Jalal, A. N., Bahari, M., Tarofder, A. K., & Musa, W. M. N. M. W. (2019). Factors influencing customer social relationship management implementation and its benefits in healthcare industry. Polish Journal of Management Studies, 19(2), 196–205. doi:https://doi.org/10.17512/pjms.2019.19.2.16
   Web of Science ®Google Scholar
• Jarvis, C. B., MacKenzie, S. B., & Podsakoff, P. M. (2003). A critical review of construct indicators and measurement model misspecification in marketing and consumer research. Journal of Consumer Research, 30(2), 199–218. doi:https://doi.org/10.1086/376806
   Web of Science ®Google Scholar
• Jia, Q., Guo, Y., & Barnes, S. (2017). Enterprise 2.0 post-adoption: Extending the information system continuance model based on the Technology-Organization-Environment framework. Computers in Human Behavior, 67, 95–105. doi:https://doi.org/10.1016/j.chb.2016.10.022
   Web of Science ®Google Scholar
• Kane, G. C., Palmer, D., Phillips, A. N., Kiron, D., & Buckley, N. (2015). Strategy, not technology, drives digital transformation. MIT Sloan Management Review and Deloitte University Press, 14, 1–25.
   Google Scholar
• Kannan, P., & Li, H. A. (2017). Digital marketing: A framework, review and research agenda. International Journal of Research in Marketing, 34(1), 22–45. doi:https://doi.org/10.1016/j.ijresmar.2016.11.006
   Web of Science ®Google Scholar
• Kaplan, A., & Haenlein, M. (2010). Users of the world, unite! The challenges and opportunities of social media. Business Horizons, 53(1), 59–68. doi:https://doi.org/10.1016/j.bushor.2009.09.003
   Web of Science ®Google Scholar
• Kayisire, D., & Wei, J. (2016). ICT adoption and usage in Africa: Towards an efficiency assessment. Information Technology for Development, 22(4), 630–653. doi:https://doi.org/10.1080/02681102.2015.1081862
   Web of Science ®Google Scholar
• Kozinets, R., Patterson, A., & Ashman, R. (2016). Networks of desire: How technology increases our passion to consume. Journal of Consumer Research, 43(5), 659–682.
   Web of Science ®Google Scholar
• Kumar, V., & Srivastava, R. (2019). New perspectives on business model innovations in emerging markets. Journal of the Academy of Marketing Science, 48(5), 815–825. doi:https://doi.org/10.1007/s11747-019-00713-2
   Web of Science ®Google Scholar
• Kumar, V., Sunder, S., & Ramaseshan, B. (2011). Analyzing the diffusion of global customer relationship management: A cross-regional modeling framework. Journal of International Marketing, 19(1), 23–39. doi:https://doi.org/10.1509/jimk.19.1.23
   Web of Science ®Google Scholar
• Kumar, V. (2014). Understanding cultural differences in innovation: A conceptual framework and future research directions. Journal of International Marketing, 22(3), 1–29. doi:https://doi.org/10.1509/jim.14.0043
   Web of Science ®Google Scholar
• Küpper, T., Jung, R., Lehmkuhl, T., & Wieneke, A. (2014, August 7–9). Features for social CRM technology – An organizational perspective. In Proceedings of the 20th Americas Conference on Information Systems. Savannah, GA.
   Google Scholar
• Küpper, T., Lehmkuhl, T., Wittkuhn, N., Wieneke, A., & Jung, R. (2015, June 7–10). Social CRM performance model: An empirical evaluation. In Proceedings of the 28th Bled eConference. Bled, Slovenia.
   Google Scholar
• Labrecque, L., vor dem Esche, J., Mathwick, C., Novak, T., & Hofacker, C. (2013). Consumer power: Evolution in the digital age. Journal of Interactive Marketing, 27(4), 257–269. doi:https://doi.org/10.1016/j.intmar.2013.09.002
   Web of Science ®Google Scholar
• Legris, P., Ingham, J., & Collerette, P. (2003). Why do people use information Technology? A critical review of the technology acceptance model. Information and Management, 40, 191–204. doi:https://doi.org/10.1016/S0378-7206(01)00143-4
   Web of Science ®Google Scholar
• Lehmkuhl, T., & Jung, R. (2013, June 9–13). Towards social CRM-scoping the concept and guiding research. In Proceedings of the 26th Bled eConference. Bled, Slovenia.
   Google Scholar
• Lemon, K., & Verhoef, P. (2016). Understanding customer experience throughout the customer journey. Journal of Marketing, 80(6), 69–96. doi:https://doi.org/10.1509/jm.15.0420
   Web of Science ®Google Scholar
• Lin, H., & Lee, G. (2005). Impact of organizational learning and knowledge management factors on e-business adoption. Management Decision, 43(2), 171–188. doi:https://doi.org/10.1108/00251740510581902
   Google Scholar
• Lin, H. (2014). Understanding the determinants of electronic supply chain management system adoption: Using the technology–organization–environment framework. Technological Forecasting and Social Change, 26, 80–92. doi:https://doi.org/10.1016/j.techfore.2013.09.001
   Google Scholar
• Liu, S., Zhang, J., Keil, M., & Chen, T. (2010). Comparing senior executive and project manager perceptions of IT project risk: A Chinese Delphi study. Information Systems Journal, 20(4), 319–355. doi:https://doi.org/10.1111/j.1365-2575.2009.00333.x
   Web of Science ®Google Scholar
• Liu, W., Wang, Z., & Zhao, H. (2020). Comparative study of customer relationship management research from East Asia, North America and Europe: A bibliometric overview. Electronic Markets, 30(4), 735–757. doi:https://doi.org/10.1007/s12525-020-00395-7
   Web of Science ®Google Scholar
• Lu, Q. S., & Miller, R. (2019). How social media communications combine with customer loyalty management to boost green retail sales. Journal of Interactive Marketing, 46, 87–100. doi:https://doi.org/10.1016/j.intmar.2018.12.005
   Web of Science ®Google Scholar
• MacKenzie, S. B., Podsakoff, P. M., & Podsakoff, N. P. (2011). Construct measurement and validation procedures in MIS and behavioral research: Integrating new and existing techniques. MIS Quarterly, 35(2), 293–334. doi:https://doi.org/10.2307/23044045
   Web of Science ®Google Scholar
• Malthouse, E., Haenlein, M., Skiera, B., Wege, E., & Zhang, M. (2013). Managing customer relationships in the social media era: Introducing the social CRM house. Journal of Interactive Marketing, 27(4), 270–280. doi:https://doi.org/10.1016/j.intmar.2013.09.008
   Web of Science ®Google Scholar
• Martins, R., Oliveira, T., & Thomas, M. A. (2016). An empirical analysis to assess the determinants of SaaS diffusion in firms. Computers in Human Behavior, 62, 19–33. doi:https://doi.org/10.1016/j.chb.2016.03.049
   Web of Science ®Google Scholar
• Medjani, F., Rutter, R., & Nadeau, J. (2019). Social media management, objectification and measurement in an emerging market. International Journal of Business and Emerging Markets, 11(3), 288–311. doi:https://doi.org/10.1504/IJBEM.2019.102654
   Google Scholar
• Mohan, S., Choi, E., & Min, D. (2008, August 28–30). Conceptual modeling of enterprise application system using social networking and Web 2.0 “social CRM system.” In Proceedings of the International Conference on Convergence and Hybrid Information Technology. Daejeon, South Korea.
   Google Scholar
• Morris, M. G., Venkatesh, V., & Ackerman, P. L. (2005). Gender and age differences in employee decisions about new technology: An extension to the theory of planned behavior. IEEE Transactions on Engineering Management, 52(1), 69–84. doi:https://doi.org/10.1109/TEM.2004.839967
   Web of Science ®Google Scholar
• Mosadegh, M. J., & Behboudi, M. (2011). Using social network paradigm for developing a conceptual framework in CRM. Australian Journal of Business and Management Research, 1(4), 63. doi:https://doi.org/10.52283/NSWRCA.AJBMR.20110104A06
   Google Scholar
• Mouelhi, R. B. (2009). Impact of the adoption of information and communication technologies on firm efficiency in the Tunisian manufacturing sector. Economic Modelling, 26(5), 961–967. doi:https://doi.org/10.1016/j.econmod.2009.03.001
   Web of Science ®Google Scholar
• Mukkamala, A. M., & Razmerita, L. (2014). Which factors influence the adoption of social software? An exploratory study of indian information technology consultancy firms. Journal of Global Information Technology Management, 17(3), 188–212. doi:https://doi.org/10.1080/1097198X.2014.951296
   Web of Science ®Google Scholar
• NRI (2020, January 20th). Network Readiness Index 2020. Retrieved from https://networkreadinessindex.org/nri-2020-countries/
   Google Scholar
• Ocloo, C. E., Xuhua, H., Akaba, S., Shi, J., & Worwui-Brown, D. K. (2020). The determinant factors of Business to Business (B2B) E-Commerce adoption in small-and medium-sized manufacturing enterprises. Journal of Global Information Technology Management, 23(3), 191–216. doi:https://doi.org/10.1080/1097198X.2020.1792229
   Web of Science ®Google Scholar
• Oliveira, T., & Martins, M. F. (2010). Understanding e-business adoption across industries in European countries. Industrial Management & Data Systems, 110(9), 1337–1354. doi:https://doi.org/10.1108/02635571011087428
   Web of Science ®Google Scholar
• Oliveira, T., & Martins, M. (2011). Literature review of information technology adoption models at firm level. Electronic Journal of Information Systems Evaluation, 14(1), 110–121.
   Google Scholar
• Oliveira, T., Thomas, M., & Espadanal, M. (2014). Assessing the determinants of cloud computing adoption: An analysis of the manufacturing and services sectors. Information & Management, 51(5), 497–510. doi:https://doi.org/10.1016/j.im.2014.03.006
   Web of Science ®Google Scholar
• Orenga-Roglá, S., & Chalmeta, R. (2016). Social customer relationship management: Taking advantage of Web 2.0 and Big Data technologies. SpringerPlus, 5(1), 1–17. doi:https://doi.org/10.1186/s40064-016-3128-y
   PubMedGoogle Scholar
• Park, C., Kim, D. G., Cho, S., & Han, H. J. (2019). Adoption of multimedia technology for learning and gender difference. Computers in Human Behavior, 92, 288–296. doi:https://doi.org/10.1016/j.chb.2018.11.029
   Web of Science ®Google Scholar
• Payne, A., & Frow, P. (2005). A strategic framework for customer relationship management. Journal of Marketing, 69(4), 167–176. doi:https://doi.org/10.1509/jmkg.2005.69.4.167
   Web of Science ®Google Scholar
• Pick, D., & Eisend, M. (2014). Buyers’ perceived switching costs and switching: A meta-analytic assessment of their antecedents. Journal of the Academy of Marketing Science, 42(2), 186–204. doi:https://doi.org/10.1007/s11747-013-0349-2
   Web of Science ®Google Scholar
• Ponelis, S. R., & Holmner, M. A. (2015). ICT in Africa: Building a better life for all. Information Technology for Development, 21(2), 163–177. doi:https://doi.org/10.1080/02681102.2015.1010307
   Web of Science ®Google Scholar
• Porter, M., & Millar, V. (1985). How information gives you competitive advantage. Harvard Business Review, 63(4), 149–160.
   Web of Science ®Google Scholar
• Premkumar, G., & Roberts, M. (1999). Adoption of new information technologies in rural small businesses. Omega, 27(4), 467–484. doi:https://doi.org/10.1016/S0305-0483(98)00071-1
   Web of Science ®Google Scholar
• Presi, C., Saridakis, C., & Hartmans, S. (2014). User-Generated Content Behaviour of the Dissatisfied Service Customer. European Journal of Marketing, 48(9/10), 1600–1625. doi:https://doi.org/10.1108/EJM-07-2012-0400
   Web of Science ®Google Scholar
• Rana, N., Barnard, D., Baabdullah, A., Rees, D., & Roderick, S. (2019). Exploring barriers of m-commerce adoption in SMEs in the UK: Developing a framework using ISM. International Journal of Information Management, 44,141–153. doi:https://doi.org/10.1016/j.ijinfomgt.2018.10.009
   Google Scholar
• Reinhold, O., & Alt, R. (2012). Social customer relationship management: state of the art and learnings from current projects. In Bled eConference (pp. 155–169). Bled, Slovenia.
   Google Scholar
• Roger, E. M. (2003). The diffusion of innovations (5th ed.). New York, NY: The Free Press.
   Google Scholar
• Sabi, H. M., Uzoka, F. M., Langmia, K., Njeh, F. N., & Tsuma, C. K. (2018). A cross-country model of contextual factors impacting cloud computing adoption at universities in sub-Saharan Africa. Information Systems Frontiers, 20(6), 1381–1404. doi:https://doi.org/10.1007/s10796-017-9739-1
   Web of Science ®Google Scholar
• Shamah, R. A., Mason, M. C., Moretti, A., & Raggiotto, F. (2018). Investigating the antecedents of African fast food customers’ loyalty: A self-congruity perspective. Journal of Business Research, 86, 446–456. doi:https://doi.org/10.1016/j.jbusres.2017.05.020
   Web of Science ®Google Scholar
• Sheth, J. N. (2011). Impact of emerging markets on marketing: Rethinking existing perspectives and practices. Journal of Marketing, 75(4), 166–182. doi:https://doi.org/10.1509/jmkg.75.4.166
   Google Scholar
• Sheth, J. (2017). Revitalizing relationship marketing. Journal of Services Marketing, 31(1), 6–10. doi:https://doi.org/10.1108/JSM-11-2016-0397
   Web of Science ®Google Scholar
• Shih, E., Venkatesh, A., Chen, S., & Kruse, E. (2013). dynamic use diffusion model in a cross‐national context: A comparative study of the United States, Sweden, and India. Journal of Product Innovation Management, 30(1), 4–16. doi:https://doi.org/10.1111/j.1540-5885.2012.00982.x
   Web of Science ®Google Scholar
• Sigala, M. (2011). eCRM 2.0 applications and trends: The use and perceptions of Greek tourism firms of social networks and intelligence. Computers in Human Behavior, 27(2), 655–661. doi:https://doi.org/10.1016/j.chb.2010.03.007
   Web of Science ®Google Scholar
• Soliman, K., & Janz, B. (2004). An exploratory study to identify the critical factors affecting the decision to establish Internet-based interorganizational information systems. Information & Management, 41(6), 697–706. doi:https://doi.org/10.1016/j.im.2003.06.001
   Web of Science ®Google Scholar
• Sophonthummapharn, K. (2009). The adoption of techno-relationship innovations: A framework for electronic customer relationship management. Marketing Intelligence & Planning, 27(3), 380–412. doi:https://doi.org/10.1108/02634500910955254
   Google Scholar
• Sun, S., Cegielski, C. G., Jia, L., & Hall, D. J. (2018). Understanding the factors affecting the organizational adoption of big data. Journal of Computer Information Systems, 58(3), 193–203. doi:https://doi.org/10.1080/08874417.2016.1222891
   Web of Science ®Google Scholar
• Tajudeen, F., Jaafar, N., & Ainin, S. (2018). Understanding the impact of social media usage among organizations. Information & Management, 55(3), 308–321. doi:https://doi.org/10.1016/j.im.2017.08.004
   Web of Science ®Google Scholar
• Thong, J. (1999). An integrated model of information systems adoption in small businesses. Journal of Management Information Systems, 15(4), 187–214. doi:https://doi.org/10.1080/07421222.1999.11518227
   Google Scholar
• Tornatzky, L., & Fleischer, M. (1990). The processes of technological innovation. Lexington, Mass: Lexington Books.
   Google Scholar
• Venkatesh, V., & Bala, H. (2012). Adoption and impacts of interorganizational business process standards: Role of partnering synergy. Information Systems Research, 23(4), 1131–1157. doi:https://doi.org/10.1287/isre.1110.0404
   Web of Science ®Google Scholar
• Venkatesh, V., Thong, J., & Xu, X. (2012). Consumer acceptance and use of information technology: Extending the unified theory of acceptance and use of technology. MIS Quarterly, 36(1), 157–178. doi:https://doi.org/10.2307/41410412
   Web of Science ®Google Scholar
• Wang, W., & Lai, Y. (2014). Examining the adoption of KMS in organizations from an integrated perspective of technology, individual, and organization. Computers in Human Behavior, 38, 55–67. doi:https://doi.org/10.1016/j.chb.2014.05.013
   Web of Science ®Google Scholar
• Wang, X., & Zander, S. (2018). Extending the model of internet standards adoption: A cross-country comparison of IPv6 adoption. Information & Management, 55(4), 450–460. doi:https://doi.org/10.1016/j.im.2017.10.005
   Web of Science ®Google Scholar
• Wang, Y., Li, H., Li, C., & Zhang, D. (2016). Factors affecting hotels’ adoption of mobile reservation systems: A technology-organization-environment framework. Tourism Management, 53, 163–172. doi:https://doi.org/10.1016/j.tourman.2015.09.021
   Web of Science ®Google Scholar
• Wang, Y., Shi, J., Ma, S., Shi, G., & Yan, L. (2012). Customer interactions in virtual brand communities: Evidence from China. Journal of Global Information Technology Management, 15(2), 46–69. doi:https://doi.org/10.1080/1097198X.2012.11082755
   Web of Science ®Google Scholar
• Williams, M., Dwivedi, Y., Lal, B., & Schwarz, A. (2009). Contemporary trends and issues in IT adoption and diffusion research. Journal of Information Technology, 24(1), 1–10. doi:https://doi.org/10.1057/jit.2008.30
   Web of Science ®Google Scholar
• Woodcock, N., Broomfi, N., Downer, G., & Starkey, M. (2011b). The evolving data architecture of social customer relationship management. Journal of Direct, Data and Digital Marketing Practice, 12(3), 249–266. doi:https://doi.org/10.1057/dddmp.2010.45
   Google Scholar
• Xu, S., Zhu, K., & Gibbs, J. (2004). Global technology, local adoption: A cross‐country investigation of internet adoption by companies in the United States and China. Electronic Markets, 14(1), 13–24. doi:https://doi.org/10.1080/1019678042000175261
   Google Scholar
• Yawised, K., & Marshall, P. (2015). Social CRM: A review of the literature and the identification of new research directions. International Journal of Virtual Communities and Social Networking, 7(1), 14–20. doi:https://doi.org/10.4018/IJVCSN.2015010102
   Google Scholar
• Youssef, A. B., Hadhri, W., & Maherzi, T. (2015). Adoption of cloud computing in emerging countries: The role of the absorptive capacity. Systemes D’information Management, 20(4), 117–142.
   Google Scholar
• Zablah, A., Bellenger, D., & Johnston, W. (2004). An evaluation of divergent perspectives on customer relationship management: Towards a common understanding of an emerging phenomenon. Industrial Marketing Management, 33(6), 475–489. doi:https://doi.org/10.1016/j.indmarman.2004.01.006
   Web of Science ®Google Scholar
• Zheng, V. (2011). The value proposition of adopting mCRM strategy in UK SMEs. Journal of Systems and Information Technology, 13(2), 223–245. doi:https://doi.org/10.1108/13287261111136025
   Google Scholar
• Zhu, K., Dong, S., Xu, S., & Kraemer, K. (2006a). Innovation diffusion in global contexts: Determinants of post-adoption digital transformation of European companies. European Journal of Information Systems, 15(6), 601–616. doi:https://doi.org/10.1057/palgrave.ejis.3000650
   Web of Science ®Google Scholar
• Zhu, K., Kraemer, K., & Dedrick, J. (2004). Information technology payoff in e-business environments: An international perspective on value creation of e-business in the financial services industry. Journal of Management Information Systems, 21(1), 17–54. doi:https://doi.org/10.1080/07421222.2004.11045797
   Web of Science ®Google Scholar
• Zhu, K., Kraemer, K., Gurbaxani, V., & Xu, S. (2006b). Migration to open-standard interorganizational systems: Network effects, switching costs, and path dependency. MIS Quarterly, 30, 515–539. doi:https://doi.org/10.2307/25148771
   Web of Science ®Google Scholar
• Zhu, K., & Kraemer, K. (2005). Post-adoption variations in usage and value of e-business by organizations: Cross-country evidence from the retail industry. Information Systems Research, 16(1), 61–84. doi:https://doi.org/10.1287/isre.1050.0045
   Web of Science ®Google Scholar