Behavioral intention and continued adoption of Facebook: An exploratory study of graduate students in Bangladesh during the Covid-19 pandemic
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Ph.D., Professor, Institute of Business Administration (IBA), Jahangirnagar University, Bangladesh
Ph.D,. Professor, Institute of Business Administration (IBA), Jahangirnagar University, Bangladesh
Ph.D., Assistant Professor, Department of Management Studies, University of Barishal, Bangladesh
Independent Researcher, Department of Management Studies, University of Barishal, Bangladesh
Associate Professor, Department of Management, Hajee Mohammad Danesh Science and Technology University
Online publication date: 2021-12-31
Management 2021;25(2):153-186
Behavioral intention and continued adoption of Facebook: An exploratory study of graduate students in Bangladesh during the Covid-19 pandemic This study is designed to find out the fundamental reasons for students’ social media adoption during the Covid 19 epidemic in Bangladesh. The research object is to build a perceptual picture of the factors that will encourage and impact Facebook’s continued acceptance during this crisis. The sample was taken from 400 students from different universities in Bangladesh. Nine indicators (Trust, Perceived Usefulness, Privacy, Perceived Ease of Use, Subjective Norms, Educational Compatibility, Behavioral Intention, Personal Needs, and Continued Facebook Adoption) were used to experiment. The study results show that the fit indices of measurement model (fit /df = 1.436; GFI = 0.958; AGFI = 0.960; NFI = 0.947; CFI = 0.977; TLI = 0.978; SRMR = 0.031; RMSEA = 0.027; P-close = 1.00) are suitable and appropriate within their prescribed ranges. The mean, standard deviation, internal consistency (Cronbach Alpha > 0.7), composite reliability (CR > 0.8), and average variance extracted (AVE > 0.5) of each constructs are well and appropriate their recommended level which determine the designs of validity. The coefficient of all factors like Trust (0.29), Perceived Usefulness (0.19), Privacy (0.17), Perceived Ease of Use (0.26), Educational Compatibility (0.13), Behavioral Intention (0.45), Personal Needs (0.16), except subjective norms (0.01) have a meaningful and positive effect on the behavioral intention of Facebook that satisfactorily affects continued adoption behavior during covid-19. These observations illustrate the scientific rationale and views relevant to emerging economies like Bangladesh in the context of social media. Several implications have been presented based on the results.
Abbas, J., Wang, D., Su, Z., & Ziapour, A. (2021). The Role of social media in the Advent of COVID-19 Pandemic: Crisis Management, Mental Health Challenges, and Implications. Risk management and healthcare policy, 14, 1917.
Abdelraheem, A. Y. (2013). University students’ use of social network sites and their relation with some variables. WEI, International Academic Conference, 5, 31-39.
Acquisti, A., & Gross, R. (2006). Imagined communities: Awareness, information sharing, and privacy on Facebook. International Workshop on Privacy-Enhancing Technologies, 7, 36-58.
Afrin, D., Islam, M. U., Rabbiand, F., & Hossain, A. (2017). The school-level factors associated with internet addiction among adolescents: A cross-sectional study in Bangladesh. Journal of Addiction and Dependence, 3(2), 170-174.
Agarwal, R. (1999). Are individual differences germane to the acceptance of new information technologies? Decision Sciences, 30(2), 361-391.
Agley, J. (2020). Assessing changes in US public trust in science amid the COVID-19 pandemic. Public health, 183, 122-125.
Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50(2), 179-211.
Ajzen, I., & Fishbein, M. (1980). Understanding attitudes and predicting social behavior (Vol. 278). Englewood Cliffs, NJ: Prentice-hall.
Alalwan, A. A., Dwivedi, Y. K., Rana, N. P., & Algharabat, R. (2018). Examining factors influencing Jordanian customers’ intentions and adoption of internet banking: Extending UTAUT2 with risk. Journal of Retailing and Consumer Services, 40, 125-138.
Alam, M. S., Alam, M. Z., Nazir, K. N. H., & Bhuiyan, M. A. B. (2020). The emergence of novel coronavirus disease (COVID-19) in Bangladesh: present status, challenges, and future management. Journal of advanced veterinary and animal research, 7(2), 198.
Al-Ghaith, W. (2015). Applying the technology acceptance model to understand social networking sites (SNS) usage: Impact of perceived social capital. International Journal of Computer Science and Information Technology, 7(4), 105-117.
Alomoush, K. S., Yaseen, S. G., & Alma’Aitah, M. A. (2012). The impact of Arab cultural values on online social networking: The case of Facebook. Computers in Human Behavior, 28(6), 2387-2399.
Anderson, J. C., & Gerbing, D. W. (1988). Structural equation modeling in practice: A review and recommended two-step approach: Psychological Bulletin, 103(3), 411-435.
Apaolaza, V., Hartmann, P., D’Souza, C., & Gilsanz, A. (2019). Mindfulness, compulsive mobile social media use, and derived stress: The mediating roles of self-esteem and social anxiety. Cyberpsychology, Behavior, and Social Networking, 22(6), 388-396.
Bergquist, R., Kiani, B., & Manda, S. (2020). First-year with COVID-19: assessment and prospects. Geospatial Health. 15(2).
Bhattacharjee, A. (2001). An empirical analysis of the antecedents of electronic commerce service continuance. Decision support systems, 32(2), 201-214.
Bicen, H., & Cavus, N. (2011). Social network site usage habits of undergraduate students: a case study of Facebook. Procedia-Social and Behavioral Sciences, 28, 943-947.
Brown, A. (2011). Relationships, community, and identity in the new virtual society. The Futurist, 45(2), 15-29.
Champoux, V., Durgee, J., & McGlynn, L. (2012). Corporate Facebook pages: when “fans” attack. Journal of Business Strategy, 33(2), 22-30.
Chugh, R., & Joshi, M. (2020). Challenges of knowledge management amidst rapidly evolving tools of social media. In Information Diffusion Management and Knowledge Sharing: Breakthroughs in Research and Practice (pp. 745-760). IGI Global.
Coyle, C. L., & Vaughn, H. (2008). Social networking: Communication revolution or evolution? Bell Labs Technical Journal, 13(2), 13-17.
Curran, J. M., & Meuter, M. L. (2005). Self-service technology adoption: comparing three technologies. Journal of Services Marketing, 19(2), 103-113.
Curran, J. M., & Meuter, M. L. (2007). Encouraging existing customers to switch to self-service technologies: put a little fun in their lives. Journal of Marketing Theory and Practice, 15(4), 283-298.
Davis, F. D. (1989). Perceived Usefulness, perceived Ease of use, and user acceptance of information technology. MIS Quarterly, 25, 319-340.
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.
Dhir, A., Kaur, P., Lonka, K., & Nieminen, M. (2016). Why do adolescents untag photos on Facebook? Computers in Human Behavior, 55, 1106-1115.
Dinerman, B. (2011). Social networking and security risks. GFI White Paper, 1-7.
Dinev, T., & Hart, P. (2005). Internet privacy concerns and social awareness as determinants of intention to transact. International Journal of Electronic Commerce, 10(2), 7-29.
Evans, D. (2014). Social media marketing: An hour a day. John Wiley & Sons.
Featherman, M. S., & Pavlou, P. A. (2003). Predicting e-services adoption: a perceived risk facets perspective. International Journal of Human-Computer Studies, 59(4), 451-474.
Financial Express Online Report. (2018). “Social media users 30 million in Bangladesh”. Accessed on August 25, 2019, Available at
Fishbein, M., & Ajzen, I. (1977). Belief, attitude, intention, and behavior: An introduction to theory and research. Reading, MA: Addison-Wesley.
Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39-50.
Goniewicz, K., Khorram-Manesh, A., Hertelendy, A. J., Goniewicz, M., Naylor, K., & Burkle, F. M. (2020). Current response and management decisions of the European Union to the COVID-19 outbreak: a review. Sustainability, 12(9), 3838.
Hair J. r., Black, W. C., Babin, B. J., & Anderson, R. E. (2010). Multivariate Data Analysis: A Global Perspective, 7th ed. Pearson Education International.
Hall, J., & Cooper, J. (1991). Gender, experience, and attributions to the computer. Journal of Educational Computing Research, 7(1), 51-60.
Heri, S. (2007). College freshmen and Online Social Networking Sites. Higher Education Research Institute. Los Angeles: University of California.
Hew, K. F. (2011). Students’ and teachers’ use of Facebook. Computers in Human Behavior, 27(2), 662-676.
Hoadley, C. M., Xu, H., Lee, J. J., & Rosson, M. B. (2010). Privacy as information access and illusory control: The case of the Facebook News Feed privacy outcry. Electronic Commerce Research and Applications, 9(1), 50-60.
Hong, S. J., & Tam, K. Y. (2006). Understanding the adoption of multipurpose information appliances: The case of mobile data services. Information systems research, 17(2), 162-179.
Hopp, T., & Gangadharbatla, H. (2016). Examining the factors that influence tomorrow’s new media producers’ technological adoption intentions: A longitudinal exploration. Computers in Human Behavior, 55, 1117-1124.
Hossain, M., & Kim, M. (2018). Does multidimensional service quality generate sustainable use intention for Facebook? Sustainability, 10(7), 2283.
Huang, C. T., Sung, C. W., Chen, C. H., Fan, C. Y., Liu, C. H., Lee, T. S. H., & Huang, E. P. C. (2021). The impact of previous epidemic disease on mental health in physicians and nurses during COVID-19 pandemic. The American Journal of Emergency Medicine.
Hu, L. T., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural equation modeling: A Multidisciplinary Journal, 6(1), 1-55.
Internet World Stats. (2018). Internet Users in Bangladesh. Accessed on August 25, 2019, available at
Islam, M. A., & Hossin, M. Z. (2016). Prevalence and risk factors of problematic internet use and the associated psychological distress among graduate students of Bangladesh. Asian Journal of Gambling Issues and Public Health, 6(1), 11-25.
Jahan, S. M., Hossain, S. R., Sayeed, U. B., Wahab, A., Rahman, T., & Hossain, A. (2019). Association between internet addiction and sleep quality among students: a cross-sectional study in Bangladesh. Sleep and Biological Rhythms, 17(3), 323-329.
Jasperson, J., Carter, P. E., & Zmud, R. W. (2005). A comprehensive conceptualization of post-adoptive behaviors associated with information technology-enabled work systems. MIS Quarterly, 525-557.
Jen, W., & Hu, K. C. (2003). Application of perceived value model to identify factors affecting passengers repurchase intentions on city bus: A case of the Taipei metropolitan area. Transportation, 30(3), 307-327.
Johnson, H. C., Gossner, C. M., Colzani, E., Kinsman, J., Alexakis, L., Beauté, J., & Ekdahl, K. (2020). Potential scenarios for the progression of a COVID-19 epidemic in the European Union and the European Economic Area, March 2020. Eurosurveillance, 25(9), 2000202.
Kamrujjaman, M., Mahmud, M. S., & Islam, M. S. (2020). Coronavirus outbreak and the mathematical growth map of COVID-19. Annual Research & Review in Biology, 72-78.
Karahanna, E., Straub, D. W., & Chervany, N. L. (1999). Information technology adoption across time: a cross-sectional comparison of pre-adoption and post-adoption beliefs. MIS Quarterly, 183-213.
Karpinski, A. C., & Duberstein, A. (2009). A description of Facebook use and academic performance among undergraduate and graduate students. In Annual Meeting of the American Educational Research Association, San Diego, CA (pp. 5-10).
Kelman, H. C. (1961). Processes of opinion change. Public Opinion Quarterly, 25(1), 57-78.
Khanra, S., Dhir, A., Kaur, P., & Joseph, R. P. (2021). Factors influencing the adoption postponement of mobile payment services in the hospitality sector during a pandemic. Journal of Hospitality and Tourism Management, 46, 26-39.
Kim, B. (2010). An empirical investigation of mobile data service continuance: Incorporating planned behavior theory into the expectation– confirmation model. Expert Systems with Applications, 37(10), 7033-7039.
Kline, T. J. (2005). Psychological Testing: A practical approach to design and evaluation. Sage Publications.
KO, H. C. (2013). The determinants of continuous use of social networking sites: An empirical study on Taiwanese journal-type bloggers’ ongoing self-disclosure behavior. Electronic Commerce Research and Applications, 12(2), 103-111.
Lankton, N. K., Wilson, E. V., & Mao, E. (2010). Antecedents and determinants of information technology habit. Information & Management, 47(5-6), 300-307.
Lee, Y. H., Hsieh, Y. C. & Hsu, C. N. (2011). Adding innovation diffusion theory to the technology acceptance model: Supporting employees’ intentions to use e-learning systems. Journal of Educational Technology & Society, 14(4), 124-137.
Lillie, P. J., Samson, A., Li, A., Adams, K., Capstick, R., Barlow, G. D., & Schmid, M. L. (2020). Novel coronavirus disease (Covid-19): the first two patients in the UK with person to person transmission. The Journal of infection, 80(5), 578.
Lin, K. Y., & Lu, H. P. (2011). Intention to continue using Facebook fan pages from the perspective of social capital theory. Cyberpsychology, Behavior, and Social Networking, 14(10), 565-570.
Mamun, M. A., & Griffiths, M. D. (2019). The association between Facebook addiction and depression: A pilot survey study among Bangladeshi students. Psychiatry Research, 271, 628-633.
Mansumitrchai, S., Park, C. H., & Chiu, C. L. (2012). Factors underlying the adoption of a social network: A study of Facebook users in South Korea. International Journal of Business and Management, 7(24), 138.
Marino, C., Gini, G., Vieno, A., & Spada, M. M. (2018). A comprehensive meta-analysis on problematic Facebook use. Computers in Human Behavior, 83, 262-277.
Marshall, B. A., Cardon, P. W., Norris, D. T., Goreva, N., & D’Souza, R. (2008). Social networking websites in India and the United States: A cross-national comparison of online privacy and communication. Issues in Information Systems, 9(2), 87-94.
Martins, C. (2014). Understanding Internet banking adoption: A unified theory of acceptance and use of technology and perceived risk application. International Journal of Information Management, 34(1), 1-13.
Masud, A. A., Hossain, M. A., Roy, D. K., Hossain, M. S., Nabi, M. N., Ferdous, A., & Hossain, M. T. (2021). Global Pandemic Situation, Responses and Measures in Bangladesh: New Normal and Sustainability Perspective. International Journal of Asian Social Science, 11(7), 314–332.
Matthews, L. (2010). Social media and the evolution of corporate communications. The Elon Journal of Undergraduate Research in Communications, 1(1), 17-23.
Menzies, R., Petrie, K., & Zarb, M. (2017). A case study of Facebook uses: Outlining a multi-layer strategy for higher education. Education and information technologies, 22(1), 39-53.
Moore, G. C. (1991). Development of an instrument to measure the perceptions of adopting an information technology innovation. Information Systems Research, 2(3), 192-222.
Nalwa, K., & Anand, A. P. (2003). Internet addiction in students: A cause of concern. Cyberpsychology & Behavior, 6(6), 653-676.
Neff, J. (2010). What happens when Facebook trumps your brand site? Advertising Age, 81(30), 2-22.
Nicole, E., Charles, S., & Cliff, L. (2007). The benefits of Facebook “friends:” social capital and college students use of online social network sites. Journal of Computer-Mediated Communication, 12(4), 1143-1168.
Nunnally, J. C. (1978). Psychometric Theory McGraw-Hill Book Company. INC New York.
Pavlou, P. A. (2002). Institution-based Trust in inter-organizational exchange relationships: the role of online B2B marketplaces on trust formation. The Journal of Strategic Information Systems, 11(4), 215-243.
Peiris, J. S., Yuen, K. Y., Osterhaus, A. D., & Stöhr, K. (2003). The severe acute respiratory syndrome. New England Journal of Medicine, 349(25), 2431-2441.
Pempek, T. A., Yermolayeva, Y. A., & Calvert, S. L. (2009). College students’ social networking experiences on Facebook. Journal of Applied Developmental Psychology, 30(3), 227-238.
Preece, J., & Maloney-Krichmar, D. (2005). Online communities: Design, theory, and practice. Journal of Computer-Mediated Communication, 10(4), JCMC104-1150.
Rogers, E. M. (1995). Diffusion of Innovations, fourth ed. Free Press, New York, NY.
Rothe, C., Schunk, M., Sothmann, P., Bretzel, G., Froeschl, G., Wallrauch, C., & Hoelscher, M. (2020). Transmission of 2019-nCoV infection from an asymptomatic contact in Germany. New England journal of medicine, 382(10), 970-971.
Ryan, P. K. (2011b). What are social networks? In: Social Networking. 1st. New York: The Rosen Publishing Group, Inc. 7-8.
Ryan, P.K. (2011a). Introduction. In Social Networking. 1st. New York: The Rosen Publishing Group, Inc. 4.
Sardar, R. (2012). A study on the social networking website in Aurangabad city. Asian Journal of Research in Business Economics and Management, 2(2), 132-140.
Sharaf, G. M., Musa, M. A., & Rahman, A. A. (2012). An Examination of Social Networking Sites Usage among Muslims Students in Islamic Perspectives. International Journal of Engineering and Advanced Technology (IJEAT), 1(4), 273-278.
Shih, Y., & Fang, K. (2004). The use of a decomposed theory of planned behavior to study Internet banking in Taiwan. Internet Res. 14 (3), 213-223.
Social Bakers. (2011). Facebook Reaches 600 million Users. Accessed on November 2, 2019, Available at
Stern, L. A., & Taylor, K. (2007). Social networking on Facebook. Journal of the Communication, Speech & Theatre Association of North Dakota, 20(7), 9-20.
Su, Z., McDonnell, D., Wen, J., Kozak, M., Abbas, J., Segalo, S., & Xiang, Y. T. (2021). Mental health consequences of COVID-19 media coverage: the need for effective crisis communication practices. Globalization and health, 17(1), 1-8.
Taylor, S., & Todd, P. A. (1995). Understanding information technology usage: A test of competing models. Information Systems Research, 6(2), 144-176.
Tham, J. & Ahmed, N. (2011). The usage and implications of social networking sites: A Survey of College Students, 2(1), 1-11.
Tufekci, Z. (2008). Grooming, gossip, Facebook, and MySpace: What can we learn about these sites from those who won’t assimilate? Information, Communication & Society, 11(4), 544-564.
Turner-Musa, J., Ajayi, O., & Kemp, L. (2020, June). Examining social determinants of health, stigma, and COVID-19 disparities. In Healthcare (Vol. 8, No. 2, p. 168). Multidisciplinary Digital Publishing Institute.
Uddin, M. S., Al Mamun, A., Iqbal, M. A., Nasrullah, M., Asaduzzaman, M., Sarwar, M. S., & Amran, M. S. (2016). Internet addiction disorder and its pathogenicity to psychological distress and depression among university students: A cross-sectional pilot study in Bangladesh. Psychology, 7(8), 11-26.
Valenzuela, S., Park, N., & Kee, K. F. (2009). Is there social capital on a social network site? Facebook use and college students’ life satisfaction, trust, and participation. Journal of Computer-Mediated Communication, 14(4), 875-901.
Venkatesh, V., & Davis, F. D. (1996). A model of the antecedents of perceived ease of use: Development and test. Decision Sciences, 27(3), 451-481.
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., & Morris, M. G. (2000). Why don’t men ever stop to ask for directions? Gender, social influence, and their role in technology acceptance and usage behavior. MIS Quarterly, 15, 115-139.
Venkatesh, V., Thong, J. Y., & Xu, X. (2012). Consumer acceptance and use of information technology: extending the unified theory of acceptance and use of technology. MIS Quarterly, 15, 157-178.
Wei, T. T., Marthandan, G., Chong, A. Y. L., Ooi, K. B., & Arumugam, S. (2009). What drives Malaysian m-commerce adoption? An empirical analysis. Industrial Management & Data Systems, 109(3), 370-388.
Willems, J., & Bateman, D. (2011, January). The potentials and pitfalls of social networking sites such as Facebook in higher education contexts. In ascilite 2011: Changing demands, changing directions: Proceedings of the Australian Society for Computers in Learning in Tertiary Education Conference (pp. 1322-1324). The University of Tasmania.
Wixom, B. H., & Todd, P. A. (2005). A theoretical integration of user satisfaction and technology acceptance. Information Systems Research, 16(1), 85-102.
World health organization, (2021). Update information about Covid-19 in Bangladesh. Available at
World Population Review. (2021). Digital in 2021: World‘s internet users pass the 4 billion mark - We are social. Retrieved October 15, 2021, from: https://worldpopulationreview.....
Zaki, A. M., Van Boheemen, S., Bestebroer, T. M., Osterhaus, A. D., & Fouchier, R. A. (2012). Isolation of a novel coronavirus from a man with pneumonia in Saudi Arabia. New England Journal of Medicine, 367(19), 1814-1820.
Zhang, J., & Daugherty, T. (2009). Third-person effect and social networking: implications for online marketing and word-of-mouth communication. American Journal of Business, 24(2), 53-64.
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