How to cite this paper
Al-Haddad, S., Sharabati, A., Nasereddin, A., Alyah, M., Mehyar, O & Ali, A. (2024). The impact of Instagram content marketing on cognitive engagement, affection, and behavior.International Journal of Data and Network Science, 8(4), 2685-2700.
Refrences
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
Agha, A. A., Rashid, A., Rasheed, R., Khan, S., & Khan, U. (2021). Antecedents of Customer Loyalty at Telecomm Sector. Turkish Online Journal of Qualitative Inquiry (TOJQI), 12(9), 1352–1374.
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-Haddad, S., Al-Khasawneh, M., Sharabati, A. A. A., Haddad, H. W., & Halaweh, J. A. A. (2023). The Effect of Instagram on Millennials Consumer’s Purchase Intentions in the Fashion Industry. International Journal of Data and Network Science, 7(4), 1885–1900. https://doi.org/10.5267/j.ijdns.2023.7.004
Al-Haddad, S., Sharabati, A. A., Harb, L., Husni, A., & Abdelfattah, M. (2022). E-WOM and consumers’ purchase intention: An empirical study on Facebook. Innovative Marketing, 18(3), 149–158. https://doi.org/10.21511/im.18(3).2022.13
Al-Khasawneh, M., Sharabati, A. A. A., Al-Haddad, S., Tbakhi, R., & Abusaimeh, H. (2022). The adoption of TikTok application using TAM model. International Journal of Data and Network Science, 6(4), 1389–1402. https://doi.org/10.5267/j.ijdns.2022.5.012
Alkunsol, W. H., Sharabati, A. A. A., AlSalhi, N. A., & El-Tamimi, H. S. (2019). Lean Six Sigma effect on Jordanian pharmaceutical industry’s performance. International Journal of Lean Six Sigma, 10(1), 23–43. https://doi.org/10.1108/IJLSS-01-2017-0003
Bag, S., Gupta, S., Kumar, A., & Sivarajah, U. (2021). An integrated artificial intelligence framework for knowledge creation and B2B marketing rational decision-making for improving firm performance. Industrial Marketing Management, 92(June 2020), 178–189. https://doi.org/10.1016/j.indmarman.2020.12.001
Balaji, P., & 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
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.
Bashar, A., & I. A.-I. J. of R. M., & 2012, U. (2014). Visual merchandising and consumer impulse buying behavior: An Empirical Study of Delhi & NCR. Academia.Edu, 7(3), 360–366.
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
Boltz, M. G. (2004). The cognitive processing of film and musical soundtracks. Memory and Cognition, 32(7), 1194–1205. https://doi.org/10.3758/BF03196892
Bond, C. (2010). Engagement with Social Media and Outcomes for Brands: A Conceptual Framework. ANZMAC Annual Conference., 1–8.
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
Cadden, T., Dennehy, D., Mantymaki, M., & Treacy, R. (2022). Understanding the influential and mediating role of cultural enablers of AI integration to supply chain. International Journal of Production Research, 60(14), 4592–4620. https://doi.org/10.1080/00207543.2021.1946614
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
Chin, W. W. (1998). The Partial Least Squares Approach to Structural Equation Modelling. In Modern Methods for Business Research (pp. 295–336). LAWRENCE ERLBAUM ASSOCIATES.
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. https://doi.org/10.1287/mnsc.35.8.982
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
Deutskens, E., De Jong, A., De Ruyter, K., & Wetzels, M. (2006). Comparing the generalizability of online and mail surveys in cross-national service quality research. Marketing Letters, 17(2), 119–136. https://doi.org/10.1007/s11002-006-4950-8
Dunleavy, M., & Dede, C. (2014). Dunleavy,_Dede_2014.
Elijah, O., Rahman, T. A., Orikumhi, I., Leow, C. Y., & Hindia, M. N. (2018). An Overview of Internet of Things (IoT) and Data Analytics in Agriculture: Benefits and Challenges. IEEE Internet of Things Journal, 5(5), 3758–3773. https://doi.org/10.1109/JIOT.2018.2844296
Fisol, N. M., Salleh, M. N., & Othman, S. N. (2015). Factors Affecting Work Outcomes on the Educators’ Continuous Usage Behaviour of Learning Management System (LMS): A Proposed Conceptual Framework. GATR Global Journal of Business Social Sciences Review, 3(1), 18–24. https://doi.org/10.35609/gjbssr.2015.3.1(3)
Fornell, C., & Larcker, D. F. (1981). Evaluating Structural Equation Models with Unobservable Variables and Measurement Error. Journal of Marketing Research, 18(1), 39–50. https://doi.org/10.2307/3151312
Foster, N. E. V., & Zatorre, R. J. (2010). Cortical structure predicts success in performing musical transformation judgments. NeuroImage, 53(1), 26–36. https://doi.org/10.1016/j.neuroimage.2010.06.042
Ghosh, M. (2020). Toward an Integrated Framework for Facebook Influencers Characteristics Impacting Millennial Consumers Engagement: a Review. Prestige International Journal of IT & Management-Sanchayan, 9(2), 11–44. https://doi.org/10.37922/pijim.2020.v09i02.002
Green, C. E., Chen, C. E., Helms, J. E., & Henze, K. T. (2011). Recent Reliability Reporting Practices in Psychological Assessment: Recognizing the People Behind the Data. Psychological Assessment, 23(3), 656–669. https://doi.org/10.1037/a0023089
Green, K. W., Whitten, D., & Inman, R. A. (2012). Aligning marketing strategies throughout the supply chain to enhance performance. Industrial Marketing Management, 41(6), 1008–1018. https://doi.org/10.1016/j.indmarman.2012.02.003
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 Jr, J., Hair Jr, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2021). A primer on partial least squares structural equation modeling (PLS-SEM). In Sage Publications.
Harmanen, J. (2019). Digital online strategy for B2B internationalization a multiple case study on manufacturing SMEs. Aalto University.
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
Hatamlah, H., Allahham, M., Abu-AlSondos, I. A., Al-junaidi, A., Al-Anati, G. M., & Al-Shaikh, and M. (2023). The Role of Business Intelligence Adoption as a Mediator of Big Data Analytics in the Management of Outsourced Reverse Supply Chain Operations. Applied Mathematics and Information Sciences, 17(5), 897–903. https://doi.org/10.18576/AMIS/170516
Holliman, G., & Rowley, J. (2014). Business to business digital content marketing: Marketers’ perceptions of best practice. Journal of Research in Interactive Marketing, 8(4), 269–293.
Hong, P., Doll, W. J., Nahm, A. Y., & li, X. (2004). Knowledge sharing in integrated product development. European Journal of Innovation Management, 7(2), 102–112. https://doi.org/10.1108/14601060410534393
Huang, M.-H., & Rust, R. T. (2021). A strategic framework for artificial intelligence in marketing. Journal of the Academy of Marketing Science, 49(1), 30–50.
Hubona, G. S. (2009). Structural equation modeling (SEM) using SmartPLS software: Analyzing path models using partial least squares (PLS) based SEM. 15th Americas Conference on Information Systems 2009, AMCIS 2009, 1, 298–300.
Jung, S. H., & Jeong, Y. J. (2020). Twitter data analytical methodology development for prediction of start-up firms’ social media marketing level. Technology in Society, 63(November 2019), 101409. https://doi.org/10.1016/j.techsoc.2020.101409
Kujur, F., & Singh, S. (2018). Emotions as predictor for consumer engagement in YouTube advertisement. Journal of Advances in Management Research, 15(2), 184–197. https://doi.org/10.1108/JAMR-05-2017-0065
Lai, P. L., Su, D. T., Tai, H. H., & Yang, C. C. (2020). The impact of collaborative decision-making on logistics service performance for container shipping services. Maritime Business Review, 5(2), 175–191. https://doi.org/10.1108/MABR-12-2019-0061
Lowry, P. B., & Gaskin, J. (2014). Partial Least Squares (PLS) Structural Equation Modeling (SEM) For Building And Testing Behavioral Causal Theory: When To Choose It And How To Use It. IEEE Transactions on Professional Communication, 57(2), 123–146.
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
Nuseir, M. T., & Elrefae, G. (2022). The effect of social media marketing, compatibility and perceived ease of use on marketing performance: Evidence from hotel industry. International Journal of Data and Network Science, 6(3), 885–894. https://doi.org/10.5267/j.ijdns.2022.2.008
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
Papadopoulos, T., Gunasekaran, A., Dubey, R., Altay, N., Childe, S. J., & Fosso-Wamba, S. (2017). The role of Big Data in explaining disaster resilience in supply chains for sustainability. Journal of Cleaner Production, 142(2), 1108–1118. https://doi.org/10.1016/j.jclepro.2016.03.059
Park, T., Mishra, A. K., & Wozniak, S. J. (2014). Do farm operators benefit from direct-to-consumer marketing strategies? Agricultural Economics (United Kingdom), 45(2), 213–224. https://doi.org/10.1111/agec.12042
Patel, P. (2009). Introduction to Quantitative Methods Definition of Key Terms. Empirical Law Seminar, 1–14.
Powell, J. H., & Swart, J. (2010). Mapping the values in B2B relationships: A systemic, knowledge-based perspective. Industrial Marketing Management, 39(3), 437–449.
Rahi, S., & Abd-Ghani, M. (2021). Examining Internet banking user’s continuance intention through the lens of technology continuance theory and task technology fit model. Digital Policy, Regulation, and Governance, 23(5), 456–474. https://doi.org/10.1108/DPRG-11-2020-0168
Ringle, C. M., Wende, S., & Becker, J.-M. (2015). SmartPLS 3. Boenningstedt: SmartPLS GmbH, 584.
Ryder, B. (2020). Cultural Institutions’ Digital Responses To COVID-19 Temporary Closures [University of Central Florida]. In Honors Undergraduate Theses. https://stars.library.ucf.edu/honorstheses/820
Ryder, B., Zhang, T., & Hua, N. (2021). The social media “magic”: Virtually engaging visitors during COVID-19 temporary closures. Administrative Sciences, 11(2), 1–15. https://doi.org/10.3390/ADMSCI11020053
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
Schmahmann, J. D. (1996). From movement to thought: Anatomic substrates of the cerebellar contribution to cognitive processing. Human Brain Mapping, 4(3), 174–198. https://doi.org/10.1002/(SICI)1097-0193(1996)4:33.0.CO;2-0
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
Sekaran, U., & Bougie, R. (2016). Research Methods For Business: A Skill-Building Approach. John Willey: UK.
Shmueli, G., Sarstedt, M., Hair, J. F., Cheah, J. H., Ting, H., Vaithilingam, S., & Ringle, C. M. (2019). Predictive model assessment in PLS-SEM: guidelines for using PLSpredict. European journal of marketing, 53(11), 2322-2347.
Spieske, A., & Birkel, H. (2020). Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company’s public news, and information. Int. J. Nurs. Stud, 114(January), 103854.
Stephanie Glen, Glen, S., & Stephanie Glen. (2016). Kaiser-Meyer-Olkin (KMO) test for sampling adequacy. Elementary Statistics for the Rest of Us! statisticshowto.com:
Suh, J. C., & Yi, Y. (2006). When brand attitudes affect the customer satisfaction-loyalty relation: The moderating role of product involvement. Journal of Consumer Psychology, 16(2), 145–155. https://doi.org/10.1207/s15327663jcp1602_5
Susanti, H. D., Arfamaini, R., Sylvia, M., Vianne, A., D, Y. H., D, H. L., Muslimah, M. muslimah, Saletti-cuesta, L., Abraham, C., Sheeran, P., Adiyoso, W., Wilopo, W., Brossard, D., Wood, W., Cialdini, R., Groves, R. M., Chan, D. K. C., Zhang, C. Q., Josefsson, K. W., … Aryanta, I. R. (2017). No In the elderly at home with a focus on subjective health Covariance Structure Analysis on Health Indicators Title. Jurnal Keperawatan. Universitas Muhammadya Malang, 4(1), 724–732.
Tabachnick, B. G., & Fidell, L. S. (2019). Using Multivariate Statistics. In Research Methods in Public Administration and Nonprofit Management. https://doi.org/10.4324/9781315181158-21
Tiwari, P. K. (2020). Comparative Analysis between Traditional and Digital Marketing with Special Reference to Oman [SHRI JAGDISH PRASAD JHABARMAL TIBREWALA UNIVERSITY]. http://hdl.handle.net/20.500.14146/8564
Trusov, M., Bucklin, R. E., & Pauwels, K. (2009). Estimating the Dynamic Effects of Online Word-of-Mouth on Member Growth of a Social Network Site. Journal of Marketing, 73(5), 90–102.
Vasilkova, V. (2019). Identifying a digital marketing strategy for a start-up entering the UK entertainment sector. Case study: Evenses [Metropolia University of Applied Sciences]. https://urn.fi/URN:NBN:fi:amk-2019120324334
Venkatesh, V., & Bala, H. (2008). Technology acceptance model 3 and a research agenda on interventions. Decision Sciences, 39(2), 273–315. https://doi.org/10.1111/j.1540-5915.2008.00192.x
Wang, Y., & Chiew, V. (2010). On the cognitive process of human problem-solving. Cognitive Systems Research, 11(1), 81–92. https://doi.org/10.1016/j.cogsys.2008.08.003
Wei, C., & Clément, Y. (2019). Hybrid governance as rural development Market, state, and civil society in Correns, France. Civil Society and Social Movements in Food System Governance, 1st, 183–200.
Wei, C., Clément, Y., Ahmadi, A., Fakhimi, S., Ahmadi, Y., Dessart, F. J., van Bavel, R., Ballester, E., Ruiz, C., Rubio, N., Baltes, P. L., Tiwari, P. K., Ryder, B., Zhang, T., Hua, N., MUHAMAD, M. K. A. Bin, SHAHROM, M., Geraint Holliman, Jennifer Rowley, … 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
Wong, L. W., Leong, L. Y., Hew, J. J., Tan, G. W. H., & Ooi, K. B. (2020). Time to seize the digital evolution: Adoption of blockchain in operations and supply chain management among Malaysian SMEs. International Journal of Information Management, 52(March), 101997. https://doi.org/10.1016/j.ijinfomgt.2019.08.005
Wong, M. W. Y., Chik, M. P. Y., & Chan, E. S. S. (2016). Measuring concerns of inclusive music teaching in Hong Kong: scale development. Music Education Research, 18(3), 317–330. https://doi.org/10.1080/14613808.2015.1049259
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.
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.
Zhai, X., & Shi, L. (2020). Understanding How the Perceived Usefulness of Mobile Technology Impacts Physics Learning Achievement: a Pedagogical Perspective. Journal of Science Education and Technology, 29(6), 743–757. https://doi.org/10.1007/s10956-020-09852-6
Agha, A. A., Rashid, A., Rasheed, R., Khan, S., & Khan, U. (2021). Antecedents of Customer Loyalty at Telecomm Sector. Turkish Online Journal of Qualitative Inquiry (TOJQI), 12(9), 1352–1374.
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-Haddad, S., Al-Khasawneh, M., Sharabati, A. A. A., Haddad, H. W., & Halaweh, J. A. A. (2023). The Effect of Instagram on Millennials Consumer’s Purchase Intentions in the Fashion Industry. International Journal of Data and Network Science, 7(4), 1885–1900. https://doi.org/10.5267/j.ijdns.2023.7.004
Al-Haddad, S., Sharabati, A. A., Harb, L., Husni, A., & Abdelfattah, M. (2022). E-WOM and consumers’ purchase intention: An empirical study on Facebook. Innovative Marketing, 18(3), 149–158. https://doi.org/10.21511/im.18(3).2022.13
Al-Khasawneh, M., Sharabati, A. A. A., Al-Haddad, S., Tbakhi, R., & Abusaimeh, H. (2022). The adoption of TikTok application using TAM model. International Journal of Data and Network Science, 6(4), 1389–1402. https://doi.org/10.5267/j.ijdns.2022.5.012
Alkunsol, W. H., Sharabati, A. A. A., AlSalhi, N. A., & El-Tamimi, H. S. (2019). Lean Six Sigma effect on Jordanian pharmaceutical industry’s performance. International Journal of Lean Six Sigma, 10(1), 23–43. https://doi.org/10.1108/IJLSS-01-2017-0003
Bag, S., Gupta, S., Kumar, A., & Sivarajah, U. (2021). An integrated artificial intelligence framework for knowledge creation and B2B marketing rational decision-making for improving firm performance. Industrial Marketing Management, 92(June 2020), 178–189. https://doi.org/10.1016/j.indmarman.2020.12.001
Balaji, P., & 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
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.
Bashar, A., & I. A.-I. J. of R. M., & 2012, U. (2014). Visual merchandising and consumer impulse buying behavior: An Empirical Study of Delhi & NCR. Academia.Edu, 7(3), 360–366.
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
Boltz, M. G. (2004). The cognitive processing of film and musical soundtracks. Memory and Cognition, 32(7), 1194–1205. https://doi.org/10.3758/BF03196892
Bond, C. (2010). Engagement with Social Media and Outcomes for Brands: A Conceptual Framework. ANZMAC Annual Conference., 1–8.
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
Cadden, T., Dennehy, D., Mantymaki, M., & Treacy, R. (2022). Understanding the influential and mediating role of cultural enablers of AI integration to supply chain. International Journal of Production Research, 60(14), 4592–4620. https://doi.org/10.1080/00207543.2021.1946614
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
Chin, W. W. (1998). The Partial Least Squares Approach to Structural Equation Modelling. In Modern Methods for Business Research (pp. 295–336). LAWRENCE ERLBAUM ASSOCIATES.
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. https://doi.org/10.1287/mnsc.35.8.982
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
Deutskens, E., De Jong, A., De Ruyter, K., & Wetzels, M. (2006). Comparing the generalizability of online and mail surveys in cross-national service quality research. Marketing Letters, 17(2), 119–136. https://doi.org/10.1007/s11002-006-4950-8
Dunleavy, M., & Dede, C. (2014). Dunleavy,_Dede_2014.
Elijah, O., Rahman, T. A., Orikumhi, I., Leow, C. Y., & Hindia, M. N. (2018). An Overview of Internet of Things (IoT) and Data Analytics in Agriculture: Benefits and Challenges. IEEE Internet of Things Journal, 5(5), 3758–3773. https://doi.org/10.1109/JIOT.2018.2844296
Fisol, N. M., Salleh, M. N., & Othman, S. N. (2015). Factors Affecting Work Outcomes on the Educators’ Continuous Usage Behaviour of Learning Management System (LMS): A Proposed Conceptual Framework. GATR Global Journal of Business Social Sciences Review, 3(1), 18–24. https://doi.org/10.35609/gjbssr.2015.3.1(3)
Fornell, C., & Larcker, D. F. (1981). Evaluating Structural Equation Models with Unobservable Variables and Measurement Error. Journal of Marketing Research, 18(1), 39–50. https://doi.org/10.2307/3151312
Foster, N. E. V., & Zatorre, R. J. (2010). Cortical structure predicts success in performing musical transformation judgments. NeuroImage, 53(1), 26–36. https://doi.org/10.1016/j.neuroimage.2010.06.042
Ghosh, M. (2020). Toward an Integrated Framework for Facebook Influencers Characteristics Impacting Millennial Consumers Engagement: a Review. Prestige International Journal of IT & Management-Sanchayan, 9(2), 11–44. https://doi.org/10.37922/pijim.2020.v09i02.002
Green, C. E., Chen, C. E., Helms, J. E., & Henze, K. T. (2011). Recent Reliability Reporting Practices in Psychological Assessment: Recognizing the People Behind the Data. Psychological Assessment, 23(3), 656–669. https://doi.org/10.1037/a0023089
Green, K. W., Whitten, D., & Inman, R. A. (2012). Aligning marketing strategies throughout the supply chain to enhance performance. Industrial Marketing Management, 41(6), 1008–1018. https://doi.org/10.1016/j.indmarman.2012.02.003
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 Jr, J., Hair Jr, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2021). A primer on partial least squares structural equation modeling (PLS-SEM). In Sage Publications.
Harmanen, J. (2019). Digital online strategy for B2B internationalization a multiple case study on manufacturing SMEs. Aalto University.
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
Hatamlah, H., Allahham, M., Abu-AlSondos, I. A., Al-junaidi, A., Al-Anati, G. M., & Al-Shaikh, and M. (2023). The Role of Business Intelligence Adoption as a Mediator of Big Data Analytics in the Management of Outsourced Reverse Supply Chain Operations. Applied Mathematics and Information Sciences, 17(5), 897–903. https://doi.org/10.18576/AMIS/170516
Holliman, G., & Rowley, J. (2014). Business to business digital content marketing: Marketers’ perceptions of best practice. Journal of Research in Interactive Marketing, 8(4), 269–293.
Hong, P., Doll, W. J., Nahm, A. Y., & li, X. (2004). Knowledge sharing in integrated product development. European Journal of Innovation Management, 7(2), 102–112. https://doi.org/10.1108/14601060410534393
Huang, M.-H., & Rust, R. T. (2021). A strategic framework for artificial intelligence in marketing. Journal of the Academy of Marketing Science, 49(1), 30–50.
Hubona, G. S. (2009). Structural equation modeling (SEM) using SmartPLS software: Analyzing path models using partial least squares (PLS) based SEM. 15th Americas Conference on Information Systems 2009, AMCIS 2009, 1, 298–300.
Jung, S. H., & Jeong, Y. J. (2020). Twitter data analytical methodology development for prediction of start-up firms’ social media marketing level. Technology in Society, 63(November 2019), 101409. https://doi.org/10.1016/j.techsoc.2020.101409
Kujur, F., & Singh, S. (2018). Emotions as predictor for consumer engagement in YouTube advertisement. Journal of Advances in Management Research, 15(2), 184–197. https://doi.org/10.1108/JAMR-05-2017-0065
Lai, P. L., Su, D. T., Tai, H. H., & Yang, C. C. (2020). The impact of collaborative decision-making on logistics service performance for container shipping services. Maritime Business Review, 5(2), 175–191. https://doi.org/10.1108/MABR-12-2019-0061
Lowry, P. B., & Gaskin, J. (2014). Partial Least Squares (PLS) Structural Equation Modeling (SEM) For Building And Testing Behavioral Causal Theory: When To Choose It And How To Use It. IEEE Transactions on Professional Communication, 57(2), 123–146.
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
Nuseir, M. T., & Elrefae, G. (2022). The effect of social media marketing, compatibility and perceived ease of use on marketing performance: Evidence from hotel industry. International Journal of Data and Network Science, 6(3), 885–894. https://doi.org/10.5267/j.ijdns.2022.2.008
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
Papadopoulos, T., Gunasekaran, A., Dubey, R., Altay, N., Childe, S. J., & Fosso-Wamba, S. (2017). The role of Big Data in explaining disaster resilience in supply chains for sustainability. Journal of Cleaner Production, 142(2), 1108–1118. https://doi.org/10.1016/j.jclepro.2016.03.059
Park, T., Mishra, A. K., & Wozniak, S. J. (2014). Do farm operators benefit from direct-to-consumer marketing strategies? Agricultural Economics (United Kingdom), 45(2), 213–224. https://doi.org/10.1111/agec.12042
Patel, P. (2009). Introduction to Quantitative Methods Definition of Key Terms. Empirical Law Seminar, 1–14.
Powell, J. H., & Swart, J. (2010). Mapping the values in B2B relationships: A systemic, knowledge-based perspective. Industrial Marketing Management, 39(3), 437–449.
Rahi, S., & Abd-Ghani, M. (2021). Examining Internet banking user’s continuance intention through the lens of technology continuance theory and task technology fit model. Digital Policy, Regulation, and Governance, 23(5), 456–474. https://doi.org/10.1108/DPRG-11-2020-0168
Ringle, C. M., Wende, S., & Becker, J.-M. (2015). SmartPLS 3. Boenningstedt: SmartPLS GmbH, 584.
Ryder, B. (2020). Cultural Institutions’ Digital Responses To COVID-19 Temporary Closures [University of Central Florida]. In Honors Undergraduate Theses. https://stars.library.ucf.edu/honorstheses/820
Ryder, B., Zhang, T., & Hua, N. (2021). The social media “magic”: Virtually engaging visitors during COVID-19 temporary closures. Administrative Sciences, 11(2), 1–15. https://doi.org/10.3390/ADMSCI11020053
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
Schmahmann, J. D. (1996). From movement to thought: Anatomic substrates of the cerebellar contribution to cognitive processing. Human Brain Mapping, 4(3), 174–198. https://doi.org/10.1002/(SICI)1097-0193(1996)4:33.0.CO;2-0
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
Sekaran, U., & Bougie, R. (2016). Research Methods For Business: A Skill-Building Approach. John Willey: UK.
Shmueli, G., Sarstedt, M., Hair, J. F., Cheah, J. H., Ting, H., Vaithilingam, S., & Ringle, C. M. (2019). Predictive model assessment in PLS-SEM: guidelines for using PLSpredict. European journal of marketing, 53(11), 2322-2347.
Spieske, A., & Birkel, H. (2020). Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company’s public news, and information. Int. J. Nurs. Stud, 114(January), 103854.
Stephanie Glen, Glen, S., & Stephanie Glen. (2016). Kaiser-Meyer-Olkin (KMO) test for sampling adequacy. Elementary Statistics for the Rest of Us! statisticshowto.com:
Suh, J. C., & Yi, Y. (2006). When brand attitudes affect the customer satisfaction-loyalty relation: The moderating role of product involvement. Journal of Consumer Psychology, 16(2), 145–155. https://doi.org/10.1207/s15327663jcp1602_5
Susanti, H. D., Arfamaini, R., Sylvia, M., Vianne, A., D, Y. H., D, H. L., Muslimah, M. muslimah, Saletti-cuesta, L., Abraham, C., Sheeran, P., Adiyoso, W., Wilopo, W., Brossard, D., Wood, W., Cialdini, R., Groves, R. M., Chan, D. K. C., Zhang, C. Q., Josefsson, K. W., … Aryanta, I. R. (2017). No In the elderly at home with a focus on subjective health Covariance Structure Analysis on Health Indicators Title. Jurnal Keperawatan. Universitas Muhammadya Malang, 4(1), 724–732.
Tabachnick, B. G., & Fidell, L. S. (2019). Using Multivariate Statistics. In Research Methods in Public Administration and Nonprofit Management. https://doi.org/10.4324/9781315181158-21
Tiwari, P. K. (2020). Comparative Analysis between Traditional and Digital Marketing with Special Reference to Oman [SHRI JAGDISH PRASAD JHABARMAL TIBREWALA UNIVERSITY]. http://hdl.handle.net/20.500.14146/8564
Trusov, M., Bucklin, R. E., & Pauwels, K. (2009). Estimating the Dynamic Effects of Online Word-of-Mouth on Member Growth of a Social Network Site. Journal of Marketing, 73(5), 90–102.
Vasilkova, V. (2019). Identifying a digital marketing strategy for a start-up entering the UK entertainment sector. Case study: Evenses [Metropolia University of Applied Sciences]. https://urn.fi/URN:NBN:fi:amk-2019120324334
Venkatesh, V., & Bala, H. (2008). Technology acceptance model 3 and a research agenda on interventions. Decision Sciences, 39(2), 273–315. https://doi.org/10.1111/j.1540-5915.2008.00192.x
Wang, Y., & Chiew, V. (2010). On the cognitive process of human problem-solving. Cognitive Systems Research, 11(1), 81–92. https://doi.org/10.1016/j.cogsys.2008.08.003
Wei, C., & Clément, Y. (2019). Hybrid governance as rural development Market, state, and civil society in Correns, France. Civil Society and Social Movements in Food System Governance, 1st, 183–200.
Wei, C., Clément, Y., Ahmadi, A., Fakhimi, S., Ahmadi, Y., Dessart, F. J., van Bavel, R., Ballester, E., Ruiz, C., Rubio, N., Baltes, P. L., Tiwari, P. K., Ryder, B., Zhang, T., Hua, N., MUHAMAD, M. K. A. Bin, SHAHROM, M., Geraint Holliman, Jennifer Rowley, … 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
Wong, L. W., Leong, L. Y., Hew, J. J., Tan, G. W. H., & Ooi, K. B. (2020). Time to seize the digital evolution: Adoption of blockchain in operations and supply chain management among Malaysian SMEs. International Journal of Information Management, 52(March), 101997. https://doi.org/10.1016/j.ijinfomgt.2019.08.005
Wong, M. W. Y., Chik, M. P. Y., & Chan, E. S. S. (2016). Measuring concerns of inclusive music teaching in Hong Kong: scale development. Music Education Research, 18(3), 317–330. https://doi.org/10.1080/14613808.2015.1049259
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.
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.
Zhai, X., & Shi, L. (2020). Understanding How the Perceived Usefulness of Mobile Technology Impacts Physics Learning Achievement: a Pedagogical Perspective. Journal of Science Education and Technology, 29(6), 743–757. https://doi.org/10.1007/s10956-020-09852-6