How to cite this paper
Shkeer, A., Sharabati, A., Samarah, T., Alqurneh, M & Ali, A. (2024). The influence of social media content marketing on consumer engagement: A mediating of the role of consumer cognition.International Journal of Data and Network Science, 8(4), 2423-2434.
Refrences
Adem, S. Al, Childerhouse, P., Egbelakin, T., Wang, B., Teerlink, M., Tabassum, R., … & Verma, S. (2018). Big data analytics and artificial intelligence pathway to operational performance under the effects of entrepreneurial orientation and environmental dynamism: A study of manufacturing organisations. Industrial Marketing Management, 226(0123456789), 3–5. https://doi.org/10.1016/j.ijpe.2019.107599
Adjei, D. K. A., Annor-Frempong, F., & Bosompem, M. (2016). Use of social networking websites among NGOs in the Greater Accra Region of Ghana. Public Relations Review, 42(5), 920–928. https://doi.org/10.1016/j.pubrev.2016.09.006
Al Assaf, D. K. T., & Al-Momani, D. M. M. (2020). The influence of e-marketing technology and website features on attracting students to private universities in Jordan (case study: Zarqa university). International Journal of Management, 11(9).
Ahmadi, A., Fakhimi, S., & Ahmadi, Y. (2022). Instagram celebrities and positive user responses. The mediating role of user “like.” Journal of Contemporary Marketing Science, 5(1), 65–80. https://doi.org/10.1108/jcmars-01-2021-0002
Al-Mu’ani, L., Alrwashdeh, M., Ali, H., & Al-Assaf, K. T. (2023). The effect of social media influencers on purchase intention: Examining the mediating role of brand attitude. International Journal of Data and Network Science, 7(3), 1217–1226. https://doi.org/10.5267/j.ijdns.2023.5.003
Al-Tarawneh, A., Haddad, E., Al-Dwairi, R. M. d., Al-Freijat, S. Y., Mansour, A., & Al-Obaidly, G. A. (2024). The impact of strategic and innovativeness entrepreneurship and social capital on business overall performance through building a sustainable supply chain management at Jordan Private Universities. Uncertain Supply Chain Management, 12(1), 65–76. https://doi.org/10.5267/j.uscm.2023.10.017
Ali, A. A. A., Udin, Z. B. M., & Abualrejal, H. M. E. (2023). The Impact of Artificial Intelligence and Supply Chain Resilience on the Companies Supply Chains Performance: The Moderating Role of Supply Chain Dynamism BT - International Conference on Information Systems and Intelligent Applications (M. Al-Emran, M. A. Al-Sharafi, & K. Shaalan, eds.). Cham: Springer International Publishing.
Allahham, M., Sharabati, A. A. A., Al-Sager, M., Sabra, S., Awartani, L., & Khraim, A. S. L. (2024). Supply chain risks in the age of big data and artificial intelligence: The role of risk alert tools and managerial apprehensions. Uncertain Supply Chain Management, 12(1), 399–406. https://doi.org/10.5267/j.uscm.2023.9.012
Alrifai, K., Obaid, T., Ali, A. A. A., Abulehia, A. F. S., Abualrejal, H. M. E., & Nassoura, M. B. A. R. (2023). The Role of Artificial Intelligence in Project Performance in Construction Companies in Palestine BT - International Conference on Information Systems and Intelligent Applications (M. Al-Emran, M. A. Al-Sharafi, & K. Shaalan, eds.). Cham: Springer International Publishing.
Aranyossy, M. (2022). Technology Adoption in the Digital Entertainment Industry during the COVID-19 Pandemic: An Extended UTAUT2 Model for Online Theater Streaming. Informatics, 9(3). https://doi.org/10.3390/informatics9030071
Atieh Ali, Ali Ahmad, Sharabati, A. A., Alqurashi, D. R., Shkeer, A. S., & Allahham, M. (2024). The impact of artificial intelligence and supply chain collaboration on supply chain resilience: Mediating the effects of information sharing. Uncertain Supply Chain Management, 12, 1801–1812. https://doi.org/10.5267/j.uscm.2024.3.002
Balaji, P., & Sreenivasa Murthy, S. (2019). Web 2.0: An evaluation of social media networking sites. International Journal of Innovative Technology and Exploring Engineering, 8(10), 752–759. https://doi.org/10.35940/ijitee.J8892.0881019
Ballester, E., Ruiz, C., & Rubio, N. (2021). Engaging consumers through firm-generated content on Instagram. Spanish Journal of Marketing - ESIC, 25(3), 355–373. https://doi.org/10.1108/SJME-11-2020-0189
Baltes, P. L. (2015). Content marketing - the fundamental tool of digital marketing. Bulletin of the Transilvania University of Brasov. Economic Sciences, 2(8), 111–118. Retrieved from http://webbut.unitbv.ro/BU2015/Series V/BILETIN I/15_Patrutiu.pdf
Boltz, M. G. (2001). Musical soundtracks as a schematic influence on the cognitive processing of filmed events. Music Perception, 18(4), 427–454. https://doi.org/10.1525/mp.2001.18.4.427
Brodie, R. J., Hollebeek, L. D., Jurić, B., & Ilić, A. (2011). Customer engagement: Conceptual domain, fundamental propositions, and implications for research. Journal of Service Research, 14(3), 252–271. https://doi.org/10.1177/1094670511411703
Bruinsma, M. (2004). Motivation, cognitive processing and achievement in higher education. Learning and Instruction, 14(6), 549–568. https://doi.org/10.1016/j.learninstruc.2004.09.001
Calhoun, L. G., Cann, A., Tedeschi, R. G., & McMillan, J. (2000). A correlational test of the relationship between posttraumatic growth, religion, and cognitive processing. Journal of Traumatic Stress, 13(3), 521–527. https://doi.org/10.1023/A:1007745627077
Carmigniani, J., & Furht, B. (2011). Handbook of Augmented Reality. In Handbook of Augmented Reality. https://doi.org/10.1007/978-1-4614-0064-6
Carmigniani, J., Furht, B., Anisetti, M., Ceravolo, P., Damiani, E., & Ivkovic, M. (2011). Augmented reality technologies, systems, and applications. Multimedia Tools and Applications, 51(1), 341–377. https://doi.org/10.1007/s11042-010-0660-6
Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly: Management Information Systems, 13(3), 319–339. https://doi.org/10.2307/249008
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.
Dessart, F. J., & van Bavel, R. (2017). Two converging paths: behavioural sciences and social marketing for better policies. Journal of Social Marketing, 7(4), 355–365. https://doi.org/10.1108/JSOCM-04-2017-0027
Dunleavy, M., & Dede, C. (2014). Dunleavy,_Dede_2014.
Franke, G., & Sarstedt, M. (2019). Heuristics versus statistics in discriminant validity testing: a comparison of four procedures. Internet Research.
Hair, J F, Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2014). A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM). Sage Publications. European Journal of Tourism Research, 6(2), 211–213.
Hair, Joseph F, Hult, G. T. M., Ringle, C. M., Sarstedt, M., & Thiele, K. O. (2017). Mirror, mirror on the wall: a comparative evaluation of composite-based structural equation modeling methods. Journal of the Academy of Marketing Science, 45(5), 616–632.
Harmanen, J. (2019). Digital online strategy for B2B internationalization a multiple case study on manufacturing SMEs. 81.
Harmony, T. (2013). The functional significance of delta oscillations in cognitive processing. Frontiers in Integrative Neuroscience, 7(DEC), 1–10. https://doi.org/10.3389/fnint.2013.00083
Henseler, J., Ringle, C. M., & Sarstedt, M. (2015). A new criterion for assessing discriminant validity in variance-based structural equation modeling. Journal of the Academy of Marketing Science, 43(1), 115–135.
Kabra, G., & Ramesh, A. (2016). Information Technology, Mutual Trust, Flexibility, Agility, Adaptability: Understanding Their Linkages and Impact on Humanitarian Supply Chain Management Performance. Risk, Hazards and Crisis in Public Policy, 7(2), 79–103. https://doi.org/10.1002/rhc3.12096
Kavota, J. K., Kamdjoug, J. R. K., & Wamba, S. F. (2020). Social media and disaster management: Case of the north and south Kivu regions in the Democratic Republic of the Congo. International Journal of Information Management, 52(January), 102068. https://doi.org/10.1016/j.ijinfomgt.2020.102068
Kitchner, K. S. (1983). Cognition, metacognition, and epistemic cognition: A three-level model of cognitive processing. Human development, 26(4), 222-232.
Lin, W. S. (2012). Perceived fit and satisfaction on web learning performance: IS continuance intention and task-technology fit perspectives. International Journal of Human-Computer Studies, 70(7), 498–507. https://doi.org/10.1016/j.ijhcs.2012.01.006
Mohsen, B. M. (2023). Developments of Digital Technologies Related to Supply Chain Management. Procedia Computer Science, 220, 788–795. https://doi.org/10.1016/j.procs.2023.03.105
Muhamad, M. K. A. Bin, & Shahrom, M. (2020). The effects of the elements in social media content on social media engagement behaviour among youth. Revista Română de Informatică Și Automatică, 30(4), 63–72. https://doi.org/10.33436/v30i4y202005
Na, S., Heo, S., Han, S., Shin, Y., & Roh, Y. (2022). Acceptance Model of Artificial Intelligence (AI)-Based Technologies in Construction Firms: Applying the Technology Acceptance Model (TAM) in Combination with the Technology–Organisation–Environment (TOE) Framework. Buildings, 12(2). https://doi.org/10.3390/buildings12020090
O’Donnell, A. M., Dansereau, D. F., & Hall, R. H. (2002). Knowledge maps as scaffolds for cognitive processing. Educational Psychology Review, 14(1), 71–86. https://doi.org/10.1023/A:1013132527007
Personal, M., & Archive, R. (2019). Munich Personal RePEc Archive Online Reputation Mechanisms and the Decreasing Value of Chain Affiliation Online at https://mpra.ub.uni-muenchen.de/91573/ Online Reputation Mechanisms and the Decreasing Value of Chain Affiliation. (91573).
Rejeb, A., & Rejeb, K. (2020). Blockchain and supply chain sustainability. Logforum, 16(3), 363–372. https://doi.org/10.17270/J.LOG.2020.467
Ryder, B., Zhang, T., & Hua, N. (2021). The social media “magic”: Virtually engaging visitors during COVID-19 temporary closures. Administrative Sciences, 11(2). https://doi.org/10.3390/ADMSCI11020053
Salhab, H. A., Allahham, M., Abu-Alsondos, I. A., Frangieh, R. H., Alkhwaldi, A. F., & Ali, B. J. A. (2023). Inventory competition, artificial intelligence, and quality improvement decisions in supply chains with digital marketing. Uncertain Supply Chain Management, 11(4), 1915–1924. https://doi.org/10.5267/j.uscm.2023.8.009
Sayginer, C., & Ercan, T. (2020). Understanding Determinants of Cloud Computing Adoption Using an Integrated Diffusion of Innovation (Doi)-Technological, Organizational and Environmental (Toe) Model. Humanities & Social Sciences Reviews, 8(1), 91–102. https://doi.org/10.18510/hssr.2020.8115
Scott-Young, C., & Samson, D. (2008). Project success and project team management: Evidence from capital projects in the process industries. Journal of Operations Management, 26(6), 749–766. https://doi.org/10.1016/j.jom.2007.10.006
Segal, D. N. (2021). A Study on Impact of Social Media Engagement on Celebrity Credibility. International Journal for Research in Applied Science and Engineering Technology, 9(10), 1370–1395. https://doi.org/10.22214/ijraset.2021.38631
Sikandar, A. W., Tawfeq, K., & Assaf, A. L. (2017). IMPACT OF ADVERTISING MESSAGES ACROSS SOCIAL NETWORKS ON CONSUMERS’ PURCHASING BEHAVIOR OF MOBILE PHONES: A STUD Related papers Effect iveness of SMS Advert ising (A Study of Young Cust o-mers in Bahrain) Effect ivenesso… IMPACT OF ADVERTISING MESSAGES A. International Journal of Sales & Marketing Management Research and Development (IJSMMRD), 7(2), 9–14. Retrieved from www.tjprc.org
Vassakis, K., Petrakis, E., & Kopanakis, I. (2018). Big data analytics: Applications, prospects, and challenges. Lecture Notes on Data Engineering and Communications Technologies, 10(January), 3–20. https://doi.org/10.1007/978-3-319-67925-9_1
Venkatesh, V., & Davis, F. D. (2000). A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management Science, 46(2), 186–204.
Venkatesh, V., Thong, J. Y. L., & Xu, X. (2012). Consumer acceptance and use of information technology: extending the unified theory of acceptance and use of technology. MIS Quarterly, 157–178.
Wei, C., Clément, Y., Ahmadi, A., Fakhimi, S., Ahmadi, Y., Dessart, F. J., … Segal, D. N. (2020). Instagram celebrities and positive user responses. The mediating role of user “like.” Revista Română de Informatică Și Automatică, 9(3), 213–224. https://doi.org/10.1017/CBO9780511813740.012
Worlanyo, E. (2016). A Survey of Cloud Computing Security: Issues, Challenges and Solutions. International Journal of Computer Science and Information Security, 14(1), 52–56. Retrieved from http://search.proquest.com.library.capella.edu/docview/1764183503?accountid=27965%5Cnhttp://wv9lq5ld3p.search.serialssolutions.com.library.capella.edu/?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&rfr_id=info:sid/ProQ:criminaljusticeperiodicalsshell&rft
Xie-Carson, L., Benckendorff, P., & Hughes, K. (2021). Fake it to make it: Exploring Instagram users’ engagement with virtual influencers in tourism. Travel and Tourism Research Association: Advancing Tourism Research Globally. Retrieved from https://scholarworks.umass.edu/ttra/2021/grad_colloquium/17
Adjei, D. K. A., Annor-Frempong, F., & Bosompem, M. (2016). Use of social networking websites among NGOs in the Greater Accra Region of Ghana. Public Relations Review, 42(5), 920–928. https://doi.org/10.1016/j.pubrev.2016.09.006
Al Assaf, D. K. T., & Al-Momani, D. M. M. (2020). The influence of e-marketing technology and website features on attracting students to private universities in Jordan (case study: Zarqa university). International Journal of Management, 11(9).
Ahmadi, A., Fakhimi, S., & Ahmadi, Y. (2022). Instagram celebrities and positive user responses. The mediating role of user “like.” Journal of Contemporary Marketing Science, 5(1), 65–80. https://doi.org/10.1108/jcmars-01-2021-0002
Al-Mu’ani, L., Alrwashdeh, M., Ali, H., & Al-Assaf, K. T. (2023). The effect of social media influencers on purchase intention: Examining the mediating role of brand attitude. International Journal of Data and Network Science, 7(3), 1217–1226. https://doi.org/10.5267/j.ijdns.2023.5.003
Al-Tarawneh, A., Haddad, E., Al-Dwairi, R. M. d., Al-Freijat, S. Y., Mansour, A., & Al-Obaidly, G. A. (2024). The impact of strategic and innovativeness entrepreneurship and social capital on business overall performance through building a sustainable supply chain management at Jordan Private Universities. Uncertain Supply Chain Management, 12(1), 65–76. https://doi.org/10.5267/j.uscm.2023.10.017
Ali, A. A. A., Udin, Z. B. M., & Abualrejal, H. M. E. (2023). The Impact of Artificial Intelligence and Supply Chain Resilience on the Companies Supply Chains Performance: The Moderating Role of Supply Chain Dynamism BT - International Conference on Information Systems and Intelligent Applications (M. Al-Emran, M. A. Al-Sharafi, & K. Shaalan, eds.). Cham: Springer International Publishing.
Allahham, M., Sharabati, A. A. A., Al-Sager, M., Sabra, S., Awartani, L., & Khraim, A. S. L. (2024). Supply chain risks in the age of big data and artificial intelligence: The role of risk alert tools and managerial apprehensions. Uncertain Supply Chain Management, 12(1), 399–406. https://doi.org/10.5267/j.uscm.2023.9.012
Alrifai, K., Obaid, T., Ali, A. A. A., Abulehia, A. F. S., Abualrejal, H. M. E., & Nassoura, M. B. A. R. (2023). The Role of Artificial Intelligence in Project Performance in Construction Companies in Palestine BT - International Conference on Information Systems and Intelligent Applications (M. Al-Emran, M. A. Al-Sharafi, & K. Shaalan, eds.). Cham: Springer International Publishing.
Aranyossy, M. (2022). Technology Adoption in the Digital Entertainment Industry during the COVID-19 Pandemic: An Extended UTAUT2 Model for Online Theater Streaming. Informatics, 9(3). https://doi.org/10.3390/informatics9030071
Atieh Ali, Ali Ahmad, Sharabati, A. A., Alqurashi, D. R., Shkeer, A. S., & Allahham, M. (2024). The impact of artificial intelligence and supply chain collaboration on supply chain resilience: Mediating the effects of information sharing. Uncertain Supply Chain Management, 12, 1801–1812. https://doi.org/10.5267/j.uscm.2024.3.002
Balaji, P., & Sreenivasa Murthy, S. (2019). Web 2.0: An evaluation of social media networking sites. International Journal of Innovative Technology and Exploring Engineering, 8(10), 752–759. https://doi.org/10.35940/ijitee.J8892.0881019
Ballester, E., Ruiz, C., & Rubio, N. (2021). Engaging consumers through firm-generated content on Instagram. Spanish Journal of Marketing - ESIC, 25(3), 355–373. https://doi.org/10.1108/SJME-11-2020-0189
Baltes, P. L. (2015). Content marketing - the fundamental tool of digital marketing. Bulletin of the Transilvania University of Brasov. Economic Sciences, 2(8), 111–118. Retrieved from http://webbut.unitbv.ro/BU2015/Series V/BILETIN I/15_Patrutiu.pdf
Boltz, M. G. (2001). Musical soundtracks as a schematic influence on the cognitive processing of filmed events. Music Perception, 18(4), 427–454. https://doi.org/10.1525/mp.2001.18.4.427
Brodie, R. J., Hollebeek, L. D., Jurić, B., & Ilić, A. (2011). Customer engagement: Conceptual domain, fundamental propositions, and implications for research. Journal of Service Research, 14(3), 252–271. https://doi.org/10.1177/1094670511411703
Bruinsma, M. (2004). Motivation, cognitive processing and achievement in higher education. Learning and Instruction, 14(6), 549–568. https://doi.org/10.1016/j.learninstruc.2004.09.001
Calhoun, L. G., Cann, A., Tedeschi, R. G., & McMillan, J. (2000). A correlational test of the relationship between posttraumatic growth, religion, and cognitive processing. Journal of Traumatic Stress, 13(3), 521–527. https://doi.org/10.1023/A:1007745627077
Carmigniani, J., & Furht, B. (2011). Handbook of Augmented Reality. In Handbook of Augmented Reality. https://doi.org/10.1007/978-1-4614-0064-6
Carmigniani, J., Furht, B., Anisetti, M., Ceravolo, P., Damiani, E., & Ivkovic, M. (2011). Augmented reality technologies, systems, and applications. Multimedia Tools and Applications, 51(1), 341–377. https://doi.org/10.1007/s11042-010-0660-6
Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly: Management Information Systems, 13(3), 319–339. https://doi.org/10.2307/249008
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.
Dessart, F. J., & van Bavel, R. (2017). Two converging paths: behavioural sciences and social marketing for better policies. Journal of Social Marketing, 7(4), 355–365. https://doi.org/10.1108/JSOCM-04-2017-0027
Dunleavy, M., & Dede, C. (2014). Dunleavy,_Dede_2014.
Franke, G., & Sarstedt, M. (2019). Heuristics versus statistics in discriminant validity testing: a comparison of four procedures. Internet Research.
Hair, J F, Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2014). A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM). Sage Publications. European Journal of Tourism Research, 6(2), 211–213.
Hair, Joseph F, Hult, G. T. M., Ringle, C. M., Sarstedt, M., & Thiele, K. O. (2017). Mirror, mirror on the wall: a comparative evaluation of composite-based structural equation modeling methods. Journal of the Academy of Marketing Science, 45(5), 616–632.
Harmanen, J. (2019). Digital online strategy for B2B internationalization a multiple case study on manufacturing SMEs. 81.
Harmony, T. (2013). The functional significance of delta oscillations in cognitive processing. Frontiers in Integrative Neuroscience, 7(DEC), 1–10. https://doi.org/10.3389/fnint.2013.00083
Henseler, J., Ringle, C. M., & Sarstedt, M. (2015). A new criterion for assessing discriminant validity in variance-based structural equation modeling. Journal of the Academy of Marketing Science, 43(1), 115–135.
Kabra, G., & Ramesh, A. (2016). Information Technology, Mutual Trust, Flexibility, Agility, Adaptability: Understanding Their Linkages and Impact on Humanitarian Supply Chain Management Performance. Risk, Hazards and Crisis in Public Policy, 7(2), 79–103. https://doi.org/10.1002/rhc3.12096
Kavota, J. K., Kamdjoug, J. R. K., & Wamba, S. F. (2020). Social media and disaster management: Case of the north and south Kivu regions in the Democratic Republic of the Congo. International Journal of Information Management, 52(January), 102068. https://doi.org/10.1016/j.ijinfomgt.2020.102068
Kitchner, K. S. (1983). Cognition, metacognition, and epistemic cognition: A three-level model of cognitive processing. Human development, 26(4), 222-232.
Lin, W. S. (2012). Perceived fit and satisfaction on web learning performance: IS continuance intention and task-technology fit perspectives. International Journal of Human-Computer Studies, 70(7), 498–507. https://doi.org/10.1016/j.ijhcs.2012.01.006
Mohsen, B. M. (2023). Developments of Digital Technologies Related to Supply Chain Management. Procedia Computer Science, 220, 788–795. https://doi.org/10.1016/j.procs.2023.03.105
Muhamad, M. K. A. Bin, & Shahrom, M. (2020). The effects of the elements in social media content on social media engagement behaviour among youth. Revista Română de Informatică Și Automatică, 30(4), 63–72. https://doi.org/10.33436/v30i4y202005
Na, S., Heo, S., Han, S., Shin, Y., & Roh, Y. (2022). Acceptance Model of Artificial Intelligence (AI)-Based Technologies in Construction Firms: Applying the Technology Acceptance Model (TAM) in Combination with the Technology–Organisation–Environment (TOE) Framework. Buildings, 12(2). https://doi.org/10.3390/buildings12020090
O’Donnell, A. M., Dansereau, D. F., & Hall, R. H. (2002). Knowledge maps as scaffolds for cognitive processing. Educational Psychology Review, 14(1), 71–86. https://doi.org/10.1023/A:1013132527007
Personal, M., & Archive, R. (2019). Munich Personal RePEc Archive Online Reputation Mechanisms and the Decreasing Value of Chain Affiliation Online at https://mpra.ub.uni-muenchen.de/91573/ Online Reputation Mechanisms and the Decreasing Value of Chain Affiliation. (91573).
Rejeb, A., & Rejeb, K. (2020). Blockchain and supply chain sustainability. Logforum, 16(3), 363–372. https://doi.org/10.17270/J.LOG.2020.467
Ryder, B., Zhang, T., & Hua, N. (2021). The social media “magic”: Virtually engaging visitors during COVID-19 temporary closures. Administrative Sciences, 11(2). https://doi.org/10.3390/ADMSCI11020053
Salhab, H. A., Allahham, M., Abu-Alsondos, I. A., Frangieh, R. H., Alkhwaldi, A. F., & Ali, B. J. A. (2023). Inventory competition, artificial intelligence, and quality improvement decisions in supply chains with digital marketing. Uncertain Supply Chain Management, 11(4), 1915–1924. https://doi.org/10.5267/j.uscm.2023.8.009
Sayginer, C., & Ercan, T. (2020). Understanding Determinants of Cloud Computing Adoption Using an Integrated Diffusion of Innovation (Doi)-Technological, Organizational and Environmental (Toe) Model. Humanities & Social Sciences Reviews, 8(1), 91–102. https://doi.org/10.18510/hssr.2020.8115
Scott-Young, C., & Samson, D. (2008). Project success and project team management: Evidence from capital projects in the process industries. Journal of Operations Management, 26(6), 749–766. https://doi.org/10.1016/j.jom.2007.10.006
Segal, D. N. (2021). A Study on Impact of Social Media Engagement on Celebrity Credibility. International Journal for Research in Applied Science and Engineering Technology, 9(10), 1370–1395. https://doi.org/10.22214/ijraset.2021.38631
Sikandar, A. W., Tawfeq, K., & Assaf, A. L. (2017). IMPACT OF ADVERTISING MESSAGES ACROSS SOCIAL NETWORKS ON CONSUMERS’ PURCHASING BEHAVIOR OF MOBILE PHONES: A STUD Related papers Effect iveness of SMS Advert ising (A Study of Young Cust o-mers in Bahrain) Effect ivenesso… IMPACT OF ADVERTISING MESSAGES A. International Journal of Sales & Marketing Management Research and Development (IJSMMRD), 7(2), 9–14. Retrieved from www.tjprc.org
Vassakis, K., Petrakis, E., & Kopanakis, I. (2018). Big data analytics: Applications, prospects, and challenges. Lecture Notes on Data Engineering and Communications Technologies, 10(January), 3–20. https://doi.org/10.1007/978-3-319-67925-9_1
Venkatesh, V., & Davis, F. D. (2000). A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management Science, 46(2), 186–204.
Venkatesh, V., Thong, J. Y. L., & Xu, X. (2012). Consumer acceptance and use of information technology: extending the unified theory of acceptance and use of technology. MIS Quarterly, 157–178.
Wei, C., Clément, Y., Ahmadi, A., Fakhimi, S., Ahmadi, Y., Dessart, F. J., … Segal, D. N. (2020). Instagram celebrities and positive user responses. The mediating role of user “like.” Revista Română de Informatică Și Automatică, 9(3), 213–224. https://doi.org/10.1017/CBO9780511813740.012
Worlanyo, E. (2016). A Survey of Cloud Computing Security: Issues, Challenges and Solutions. International Journal of Computer Science and Information Security, 14(1), 52–56. Retrieved from http://search.proquest.com.library.capella.edu/docview/1764183503?accountid=27965%5Cnhttp://wv9lq5ld3p.search.serialssolutions.com.library.capella.edu/?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&rfr_id=info:sid/ProQ:criminaljusticeperiodicalsshell&rft
Xie-Carson, L., Benckendorff, P., & Hughes, K. (2021). Fake it to make it: Exploring Instagram users’ engagement with virtual influencers in tourism. Travel and Tourism Research Association: Advancing Tourism Research Globally. Retrieved from https://scholarworks.umass.edu/ttra/2021/grad_colloquium/17