Volume 29, Issue 3 (Special issue on COVID-19, 2023)                   Research on Information Science and Public Libraries 2023, 29(3): 374-394 | Back to browse issues page


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Alizad L, Majidi A, Hamdipour A. Investigating the factors affecting the willingness to continue using Instagram pages of public libraries in West Azerbaijan province during the COVID-19 pandemic. Research on Information Science and Public Libraries 2023; 29 (3) :374-394
URL: http://publij.ir/article-1-2484-en.html
Department of knowledge and Information Science, Tabriz University, Tabriz, Iran , Akbar.majidi@tabrizu.ac.ir
Abstract:   (298 Views)
Purpose: Instagram pages of public libraries were a suitable platform to establish and maintain communication with users and provide services and information they needed, especially during the epidemic of diseases such as COVID-19. The aim of the present study is to identify the factors affecting the willingness of users to continue using the Instagram pages of public libraries in West Azerbaijan province during the COVID-19 pandemic.
Method: The current research is applied in terms of purpose and descriptive-survey of correlation type in terms of the data collection method. The research was carried out in 1399-1400. The data collection tool was a researcher-made questionnaire, whose face validity was confirmed by experts in this field, and its reliability was calculated using Cronbach’s alpha coefficient at 72%. The statistical population of the research included all the followers of the Instagram pages of public libraries in West Azerbaijan province during the COVID-19 pandemic, from which 20 active pages were selected, and the questionnaire was provided to them privately by the managers of the pages, and finally 212 questionnaires were returned. Descriptive statistics were used to determine frequency, frequency percentage, standard deviation and mean in SPSS software, and the structural equation modeling by partial least squares method in SmartPLS software was used to investigate the relationships between variables and test hypotheses.
Findings: The findings of the analysis of path coefficients showed that there is a positive and significant relationship between perceived usefulness, responsiveness, social benefits and satisfaction with the desire to continuously use Instagram pages of public libraries in West Azerbaijan province. Satisfaction with the path coefficient (0.446) was the strongest factor in predicting the continued use of Instagram pages of public libraries in West Azerbaijan province during the COVID-19 pandemic. After satisfaction, responsiveness, usefulness, and social benefits, respectively, had the greatest impact on the desire to continuously use these pages. Interestingly, no significant relationship was observed between the variables of ease of use, expectations, perceived enjoyment, type of post uploaded, post upload time, content, social influence, and correlation with the tendency to continuously use Instagram pages of public libraries. The results related to the path coefficients of the factors of type of uploaded post, time of uploading post, ease of use and content on the perceived usefulness of users from the Instagram pages of public libraries in West Azerbaijan province showed that there is a positive and significant relationship and the type of uploaded post with the path coefficient (0/290) was the strongest predictor of perceived usefulness. Furthermore, the analysis of path coefficients showed that the relationship between perceived enjoyment and perceived usefulness on user satisfaction is not significant, but the coefficients of the effect of ease of use and expectations on user satisfaction from Instagram pages of public libraries in West Azerbaijan Province is positive and significant. In general, the value of the goodness of fit was 0/641, which indicates the appropriateness of the overall fit of the model.
Originality/value: Considering that the desire and intention to continue using social media sites is an act after their admission and so far, few studies have identified the factors influencing the desire to continue using social media, especially Instagram pages in public libraries, the results of this study can have valuable scientific and practical implications for managers and policy makers in this field.
Full-Text [PDF 1963 kb]   (144 Downloads)    
Type of Study: quantitative | Subject: IT in Information Center
Received: 2023/04/12 | Accepted: 2023/08/3 | Published: 2023/10/2

References
1. Alajmi Bibi, M., &Albudaiwi, D. (2021). Response to COVID-19 Pandemic: Where Do Public Libraries Stand? Public Library Quarterly, 40)6(,540-556. [DOI:10.1080/01616846.2020.1827618]
2. Al-Hattami, H. M. (2021). Determinants of intention to continue usage of online shopping under a pandemic: COVID-19. Cogent Business & Management, 8(1), 1936368. [DOI:10.1080/23311975.2021.1936368]
3. Al-Somali, S. A., Gholami, R., & Clegg, B. (2009). An investigation into the acceptance of online banking in Saudi Arabia, Technovation, 29(2), 130-141. [DOI:10.1016/j.technovation.2008.07.004]
4. Ashrafi, A., Zareravasan, A., Rabiee Savoji, S., & Amani, M. (2022). Exploring factors influencing students' continuance intention to use the learning management system (LMS): a multi-perspective framework. Interactive Learning Environments, 30(8), 1475-1497. [DOI:10.1080/10494820.2020.1734028]
5. Azka, Syadza Millati, Asmiyanto, T., & Babbar, P. (2023). Analysis of Instagram use by libraries in responding to the COVID-19 pandemic: A case study of university libraries in Indonesia. Record and Library Journal, 9(1), 105-117. [DOI:10.20473/rlj.V9-I1.2023.105-117]
6. Bae, M. (2018). Understanding the effect of the discrepancy between sought and obtained gratification on social networking site users' satisfaction and continuance intention. Computers in Human Behavior, 79, 137-153. [DOI:10.1016/j.chb.2017.10.026]
7. Bagozzi, R. P., & Yi, Y. (1988). On the Evaluation of Structural Equation Models. Journal of the Academy of Marketing Science, 16(1), 74-94. [DOI:10.1007/BF02723327]
8. Begum, D., Roknuzzaman, M., & Shobhanee, M. E. (2022). Public libraries' responses to a global pandemic: Bangladesh perspectives. IFLA Journal, 48(1), 174-188. [DOI:10.1177/03400352211041138]
9. Berube, L. (2011). Do You Web 2.0? Public Libraries and Social Networking. Elsevier Science. [DOI:10.1533/9781780632568]
10. Bhattacherjee, A., & Lin, C. P. (2015). A unified model of IT continuance: Three complementary perspectives and crossover effects. European Journal of Information Systems, 24(4), 364-373. [DOI:10.1057/ejis.2013.36]
11. Bhattacharjee, A. (2001(. Understanding information systems continuance: An expectation- confirmation model. MIS Quarterly, 25(3), 351-370. [DOI:10.2307/3250921]
12. Casaló, L. V., Flavián, C., & Ibáñez-Sánchez, S. (2017). Antecedents of consumer intention to follow and recommend an Instagram account. Online Information Review, 41(7), 1046-1063.Casalo, L.V., Flavi'an, C., Ib'a˜nez-S'anchez, S. (2017(. Antecedents of consumer intention to follow and recommend an Instagram account. Online Inf. Rev, 41 (7), 1046-1063. [DOI:10.1108/OIR-09-2016-0253]
13. Chan, V. H. Y., Chiu, D. K., & Ho, K. K. (2022). Mediating effects on the relationship between perceived service quality and public library app loyalty during the COVID-19 era. Journal of Retailing and Consumer Services, 67, 102960. [DOI:10.1016/j.jretconser.2022.102960]
14. Chang, C. C., Hung, S. W., Cheng, M. J., & Wu, C. Y. (2015). Exploring the intention to continue using social networking sites: The case of Facebook. Technological Forecasting and Social Change, 95, 48-56. [DOI:10.1016/j.techfore.2014.03.012]
15. Chaouali, W. (2016). Once a user, always a user: Enablers and inhibitors of continuance intention of mobile social networking sites. Telematics and Informatics, 33(4), 1022-1033. [DOI:10.1016/j.tele.2016.03.006]
16. Cheng, S., Liu, L., & Li, K. (2020). Explaining the factors influencing the individuals' continuance intention to seek information on Weibo during rainstorm disasters. International Journal of Environmental Research and Public Health, 17(17), 6072. [DOI:10.3390/ijerph17176072]
17. Childers, T. L., Carr, C. L., Peck, J., & Carson, S. (2001). Hedonic and utilitarian motivations for online retail shopping behavior. Journal of Retailing, 77(4), 511-535. [DOI:10.1016/S0022-4359(01)00056-2]
18. Choi, G., Nam, C., & Kim, S. (2019). The impacts of technology platform openness on application developers' intention to continuously use a platform: From an ecosystem perspective. Telecommunications Policy, 43(2), 140-153. [DOI:10.1016/j.telpol.2018.04.003]
19. Choi, Y., & Kim, S. U. (2021). Public library Twitter use during the early period of the COVID-19 lockdown in the United States. The Electronic Library, 39(5), 713-731. [DOI:10.1108/EL-03-2021-0067]
20. Choi, Y., & Kim, S. U. (2022). A longitudinal comparison of public libraries' posting activities on Twitter in April of 3 years, pre-, during, and post-COVID-19. Journal of Librarianship and Information Science, 09610006221128981. [DOI:10.1177/09610006221128981]
21. Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319-340. [DOI:10.2307/249008]
22. De Valck, K. Van Bruggen, G. H. & Wierenga, B. (2009). Virtual communities: A marketing perspective. Decision Support Systems, 47(3), 185-203. [DOI:10.1016/j.dss.2009.02.008]
23. Doulani, A., & Khaleghi Targhi, M. (2023). The use status of librarians and users of the virtual pages of social networks (Instagram and Bale) attributed to the institution of public libraries of the country. Research on Information Science and Public Libraries. https://publij.ir/article-1-2465-fa.html
24. [in Persian]
25. Dong, T. P., Cheng, N. C., & Wu, Y. C. J. (2014). A study of the social networking website service in digital content industries: The Facebook case in Taiwan. Computers in Human Behavior, 30, 708-714. [DOI:10.1016/j.chb.2013.07.037]
26. Elroukh, S. M. S. (2022). How public libraries respond to the COVID-19 pandemic? Arab Academics' Perspective. Journal of the Faculty of Art, 33(128), 519-542.
27. Fishbein, M., & Ajzen, I. (1975). Belief, attitude, intention and behavior: An introduction to theory and research. Reading, MA: Addison-Wesley.
28. Friday, J., Chidozie, O., & Chukwuma, L. N. (2020). Social media and library services: a case of COVID-19 pandemic era. International Journal of Research and Review, 7(10), 230-237.
29. Gao, L., & Bai, X. (2014). An empirical study on continuance intention of mobile social networking services: Integrating the IS success model, network externalities and flow theory. Asia Pacific Journal of Marketing and Logistics, 26(2), 168-189. [DOI:10.1108/APJML-07-2013-0086]
30. Harisanty, D., Sugihartati, R., & Srimulyo, K. (2022). Social media and the role of libraries during the COVID-19 pandemic. Masyarakat, Kebudayaan & Politik, 35(3). [DOI:10.20473/mkp.V35I32022.351-363]
31. Hsu, C. L., & Lu, H. P. (2004). Why do people play on-line games? An extended TAM with social influences and flow experience. Information & management, 41(7), 853-868. [DOI:10.1016/j.im.2003.08.014]
32. Hsu, M. H., Chang, C. M., Lin, H. C., & Lin, Y. W. (2015). Determinants of continued use of social media: The perspectives of uses and gratifications theory and perceived interactivity. Information Research, 20(2), 671.
33. Hwang, H. S., & Cho, J. (2018). Why Instagram? Intention to continue using Instagram among Korean college students. Social Behavior and Personality, 46(8),1305-1315. [DOI:10.2224/sbp.6961]
34. Izadi, B., Ghaedi, A., Ghasemi, M., & Heidari, M. (2019). Investigating the impact of Instagram involvement on relationship quality and behavior of Persepolis fans. New Media Studies, 5(17), 174-196. [in Persian]
35. Jafari, S. M., Karimi, A., & Abarghou, Z. I. (2016). Investigating factors affecting on continuance intention to use the social network websites: The case of LinkedIn. Business Intelligence Management Studies, 5(17), 147-182. [in Persian]
36. Katz, E., Blumler, J. G., & Gurevitch, M. (1973). Uses and gratifications research. Public Opinion Quarterly, 37(4), 509-523. [DOI:10.1086/268109]
37. Katz, E. (1959). Mass communications research and the study of popular culture: An editorial note on a possible future for this journal. Departmental Papers (ASC), 165.
38. Kefi, H., Mlaiki, A., & Kalika, M. (2015). Social networking continuance: When habit leads to information overload. ECIS 2015 Proceedings, 1-13.
39. Kim, Y. M. (2011). Users' perceptions of university library websites: A unifying view. Library & Information Science Research, 33(1), 63-72. [DOI:10.1016/j.lisr.2010.04.007]
40. Kosiba, J. P., Acheampong, A., Adeola, O., & Hinson, R. E. (2020). The moderating role of demographic variables on customer expectations in airport retail patronage intentions of travelers. Journal of Retailing and Consumer Services, 54, 102033. [DOI:10.1016/j.jretconser.2020.102033]
41. Koulouris, A., Vraimaki, E., & Koloniari, M. (2020). COVID-19 and library social media use. Reference Services Review, 49(1), 19-38. [DOI:10.1108/RSR-06-2020-0044]
42. Kwon, S. J., Park, E., & Kim, K. J. (2014). What drives successful social networking services? A comparative analysis of user acceptance of Facebook and Twitter. The Social Science Journal, 51(4), 534-544. [DOI:10.1016/j.soscij.2014.04.005]
43. Lee, M. C. (2010). Explaining and predicting users' continuance intention toward e-learning: An extension of the expectation-confirmation model. Computers & education, 54(2), 506-516. [DOI:10.1016/j.compedu.2009.09.002]
44. Levin, D. Z., & Cross, R. (2004). The strength of weak ties you can trust: The mediating role of trust in effective knowledge transfer. Management Science, 50(11), 1477-1490. [DOI:10.1287/mnsc.1030.0136]
45. Lew, S. L., Lau, S. H., & Leow, M. C. (2019). Usability factors predicting continuance of intention to use cloud e-learning application. Heliyon, 5(6), e01788. [DOI:10.1016/j.heliyon.2019.e01788]
46. Li, H., Li, L., Gan, C., Liu, Y., Tan, C. W., & Deng, Z. (2018). Disentangling the factors driving users' continuance intention towards social media: A configurational perspective. Computers in Human Behavior, 85, 175-182. [DOI:10.1016/j.chb.2018.03.048]
47. Lin, H. H., & Wang, Y. S. (2006). An examination of the determinants of customer loyalty in mobile commerce contexts. Information & Management, 42(2), 320-383. [DOI:10.1016/j.im.2005.08.001]
48. Lin, H. F. (2008). Determinants of successful virtual communities: Contributions from system characteristics and social factors. Information & Management, 45(8), 522-527. [DOI:10.1016/j.im.2008.08.002]
49. Lin, X., Featherman, M., & Sarker, S. (2017). Understanding factors affecting users' social networking site continuance: A gender difference perspective. Information and Management, 54(3), 383-395. [DOI:10.1016/j.im.2016.09.004]
50. Liu, J., Sun, H. L., & Zheng, J. (2023). Factors affecting users' intention to use mobile health services of public libraries. Library & Information Science Research, 45(1), 101223. [DOI:10.1016/j.lisr.2022.101223]
51. Lu, H. P., Lin, J. C. C., Hsiao, K. L., & Cheng, L. T. (2010). Information sharing behaviour on blogs in Taiwan: Effects of interactivities and gender differences. Journal of Information Science, 36(3), 401-416. [DOI:10.1177/0165551510363631]
52. Macdonald, K., Robert, A., Bannerman-Gobeil, B., Bee, R., Chorney, A., Heinrichs, C., ... & Sucha, M. (2021). Manitoba public libraries response to the early stages of COVID-19. Partnership, 16(1), 1-11. [DOI:10.21083/partnership.v16i1.6473]
53. McKnight, D. H., Lankton, N., & Tripp, J. (2011). Social networking information disclosure and continuance intention: A disconnect. Proceedings of the Annual Hawaii International Conference on System Sciences, 1-10. [DOI:10.1109/HICSS.2011.379]
54. McMenemy, D., Robinson, E., & Ruthven, I. (2023). The impact of COVID-19 lockdowns on public libraries in the UK: Findings from a National Study. Public Library Quarterly, 42(1), 92-110. [DOI:10.1080/01616846.2022.2058860]
55. Mouakket, S. (2015). Factors influencing continuance intention to use social network sites: The Facebook case. Computers in Human Behavior, 53, 102-110. [DOI:10.1016/j.chb.2015.06.045]
56. Muntinga, D. G., Moorman, M., & Smit, E. G. (2011). Introducing COBRAs: Exploring motivations for brand-related social media use. International Journal of advertising, 30(1), 13-46. [DOI:10.2501/IJA-30-1-013-046]
57. Nadi-Ravandi, S., & Batooli, Z. (2023). Libraries respond to the COVID-19 pandemic: Drawing a science map of published articles. Library Hi Tech, 41(1), 42-58. [DOI:10.1108/LHT-04-2022-0209]
58. Narimani, I., Zerehsaz, M., & Sarafzadeh, M. (2020). Analyzing the Perspectives of Instagram Followers of Iranian Public Libraries about Users engagement and Features of pages Content. Library and Information Sciences, 23(4), 106-129. [in Persian]
59. Narimani, I., Zerehsaz, M., & Sarrafzadeh, M. (2021). The Analysis of the Content Provided on the Instagram Pages of Iran's Public Libraries and Their Users' Engagement. Library and Information Science Research, 11(2), 334-351. [in Persian]
60. Narmenji, S. M. (2021). Identifying opportunities and threats of using social networking sites to create interaction in public libraries. Research on Information Science and Public Libraries, 27(2), 227-259. [in Persian]
61. Nedra, B. A., Hadhri, W., & Mezrani, M. (2019). Determinants of customers' intentions to use hedonic networks: The case of Instagram. Journal of Retailing and Consumer Services, 46, 21-32. [DOI:10.1016/j.jretconser.2018.09.001]
62. Oghuma, A. P., Libaque-Saenz, C. F., Wong, S. F., & Chang, Y. (2016). An expectation-confirmation model of continuance intention to use mobile instant messaging. Telematics and Informatics, 33(1), 34-47. [DOI:10.1016/j.tele.2015.05.006]
63. Oliver, R. L. (2010). Satisfaction: A behavioral perspective on the consumer (2nd ed.). Routledge. [DOI:10.4324/9781315700892]
64. Oliver, R. L. (1980). A cognitive model of the antecedents and consequences of satisfaction decisions. Journal of marketing research, 17(4), 460-469. [DOI:10.1177/002224378001700405]
65. Oliver, R. L., Rust, R. T., & Varki, S. (1997). Customer delight: foundations, findings, and managerial insight. Journal of Retailing, 73(3), 311-336. [DOI:10.1016/S0022-4359(97)90021-X]
66. Ajiboye, O. O. (2022). Use of Social Media Engagement Strategies among Librarians during the COVID-19 Pandemic in Osun State, Nigeria. International Journal of Library and Information Studies, 12(13).
67. Park, N., Kee, K. F., & Valenzuela, S. (2009). Being immersed in social networking environment: Facebook groups, uses and gratifications, and social outcomes. Cyberpsychology & Behavior, 12(6), 729-733. [DOI:10.1089/cpb.2009.0003]
68. PourKhalil, N., & Keshvari, M. (2022). Identifying the strategic position of Iran's public libraries in the encounter of the closure of face-to-face services due to the outbreak of COVID-19 virus by the SWOT method. Journal of Studies in Library and Information Science, 14(Special Issue: COVID-19), 34-53. [in Persian]
69. Premkumar, G., Ramamurthy, K., & Liu, H. N. (2008). Internet messaging: An examination of the impact of attitudinal, normative, and control belief systems. Information & Management, 45(7), 451-457. [DOI:10.1016/j.im.2008.06.008]
70. Raacke, J., & Bonds-Raacke, J. (2008). MySpace and Facebook: Applying the uses and gratifications theory to exploring friend-networking sites. Cyberpsychology & Behavior, 11(2), 169-174. [DOI:10.1089/cpb.2007.0056]
71. Rauniar, R., Rawski, G., Crumbly, J., & Simms, J. (2009). C2C online auction website performance: Buyer's perspective. Journal of Electronic Commerce Research, 10(2), 56.
72. Rundqvist, E. (2020). Public libraries as a vital social function or something we can do without in times of crises. The Swedish reaction to Covid-19. Alexandria, 30(2-3), 247-255. [DOI:10.1177/09557490211002741]
73. Sadaf, A., Newby, T. J., & Ertmer, P. A. (2012). Exploring factors that predict preservice teachers' intentions to use Web 2.0 technologies using decomposed theory of planned behavior. Journal of Research on Technology in Education, 45(2), 171-196. [DOI:10.1080/15391523.2012.10782602]
74. Shen, J., & Eder, L. B. (2009). Exploring intentions to use virtual worlds for business. Journal of Electronic Commerce Research, 10(2), 94-103.
75. Shipps, B. (2013). Social networks, interactivity and satisfaction: Assessing socio-technical behavioral factors as an extension to technology acceptance. Journal of Theoretical and Applied Electronic Commerce Research, 8(1), 35-52. [DOI:10.4067/S0718-18762013000100004]
76. Steffes, E. M., & Burgee, L. E. (2009). Social ties and online word of mouth. Internet Research, 19(1), 42-59. [DOI:10.1108/10662240910927812]
77. Van der Heijden, H. (2003). Factors influencing the usage of websites: The case of a generic portal in The Netherlands. Information & Management, 40(6), 541-549. [DOI:10.1016/S0378-7206(02)00079-4]
78. 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, 24(1), 115-139. [DOI:10.2307/3250981]
79. Venkatesh, V., & Davis, F. D. (2000). A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management science, 46(2), 186-204. [DOI:10.1287/mnsc.46.2.186.11926]
80. Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 27(3), 425-478. [DOI:10.2307/30036540]
81. 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, 36(1), 157-178. [DOI:10.2307/41410412]
82. Wakeling, S., Garner, J., Kennan, M. A., Hider, P., Jamali, H. R., Randell-Moon, H. E. K., & Mansourian, Y. (2023). Australian public libraries during the COVID-19 crisis: operations, management and service provision. Library Management, 44(6/7), 448-465. [DOI:10.1108/LM-04-2023-0031]
83. Yalung, H. A., Tuliao, D. L., Gabriel, P. R. M., Oluyinka, S. A., Gil, M., & Daenos, R. G. (2020). Use of social media platforms in promoting the academic library services of City College of Angeles among students. International Journal of Information and Education Technology, 10(6), 482-487. [DOI:10.18178/ijiet.2020.10.6.1411]
84. Yoon, C., & Rolland, E. (2015). Understanding continuance use in social networking services. Journal of Computer Information Systems, (55),1-8. [DOI:10.1080/08874417.2015.11645751]
85. Zare, A. (2022). Health information seeking for a disease epidemic: A case study of Kermanshah citizens in the COVID 19. Journal of Studies in Library and Information Science, 14(Special Issue: COVID-19), 1-13. [in Persian]
86. Zhao, W., & Othman, M. N. (2011). Predicting and explaining complaint intention and behaviour of Malaysian consumers: an application of the planned behaviour theory. In International Marketing (Vol. 21, pp. 229-252). Emerald Group Publishing Limited. [DOI:10.1108/S1474-7979(2011)0000021013]

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