1 |
Udo, G. J., Bagchi, K. K., & Kirs, P. J. (2012). Exploring the role of espoused values on e-service adoption: A comparative analysis of the US and Nigerian users. Computers in Human Behavior, 28(5), 1768-1781. https://doi.org/10.1016/j.chb.2012.04.017
DOI
|
2 |
Hughes, D. J., Rowe, M., Batey, M., & Lee, A. (2012). A tale of two sites: Twitter vs. Facebook and the personality predictors of social media usage. Computers in human behavior, 28(2), 561-569. https://doi.org/10.1016/j.chb.2011.11.001
DOI
|
3 |
To, T. H., Do, D. K., Bui, L. T. H., & Pham, H. T. L. (2020). Factors affecting customer satisfaction when buying on Facebook in Vietnam. Journal of Asian Finance, Economics and Business, 7(10), 267-273. https://doi.org/10.13106/jafeb.2020.vol7.n10.267
DOI
|
4 |
Celebi, S. I. (2015). How do motives affect attitudes and behaviors toward internet advertising and Facebook advertising? Computers in Human Behavior, 51, 312-324. https://doi.org/10.1016/j.chb.2015.05.011
DOI
|
5 |
Hsu, C. L., & Lin, J. C. C. (2008). Acceptance of blog usage: The roles of technology acceptance, social influence and knowledge sharing motivation. Information & Management, 45(1), 65-74. https://doi.org/10.1016/j.im.2007.11.001
DOI
|
6 |
Ma, W. W., & Chan, A. (2014). Knowledge sharing and social media: Altruism, perceived online attachment motivation, and perceived online relationship commitment. Computers in Human Behavior, 39, 51-58. https://doi.org/10.1016/j.chb.2014.06.015
DOI
|
7 |
Zhao, L., Yin, J., & Song, Y. (2016). An exploration of rumor combating behavior on social media in the context of social crises. Computers in Human Behavior, 58, 25-36. https://doi.org/10.1016/j.chb.2015.11.054
DOI
|
8 |
Le, H. B. H., Ngo, C. T., Trinh, T. T. H., & Nguyen, T. T. P. (2020). Factor Affecting Customers' Decision to Use Mobile Banking Service: A Case of Thanh Hoa Province, Vietnam. Journal of Asian Finance, Economics and Business, 7(2), 205-212. https://doi.org/10.13106/jafeb.2020.vol7.no2.205
DOI
|
9 |
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. https://doi.org/10.5121/ijcsit.2015.7409
DOI
|
10 |
Kwahk, K. Y., & Park, D. H. (2016). The effects of network sharing on knowledge-sharing activities and job performance in enterprise social media environments. Computers in Human Behavior, 55, 826-839. https://doi.org/10.1016/j.chb.2015.09.044
DOI
|
11 |
Kumar, G., & Shenbagaraman, V. M. (2017). The customers' perception of mobile banking adoption in Chennai City. An empirical assessment of an extended technology acceptance model. International Journal of Business Information Systems, 26(1), 46-65. https://doi.org/10.1504/ijbis.2017.086056
DOI
|
12 |
Guner, H., & Acarturk, C. (2020). The use and acceptance of ICT by senior citizens: a comparison of technology acceptance model (TAM) for elderly and young adults. Universal Access in the Information Society, 19(2), 311-330. https://doi.org/10.1007/s10209-018-0642-4
DOI
|
13 |
Ma, W. W., & Yuen, A. H. (2011). Understanding online knowledge sharing: An interpersonal relationship perspective. Computers & Education, 56(1), 210-219. https://doi.org/10.1016/j.compedu.2010.08.004
DOI
|
14 |
Wang, S., & Noe, R. A. (2010). Knowledge sharing: A review and directions for future research. Human Resource Management Review, 20(2), 115-131. https://doi.org/10.1016/j.hrmr.2009.10.001
DOI
|
15 |
Widyani, A. A. D., Sarmawa, I. W. G., & Dewi, I. G. A. M. (2017). The roles of knowledge sharing in mediating the effect of self-efficacy and self-leadership toward innovative behavior. Jurnal Manajemen dan Kewirausahaan, 19(2), 112-117. https://doi.org/10.9744/jmk.19.2.112-117
DOI
|
16 |
Lee, Y. H., Hsiao, C., & Purnomo, S. H. (2014). An empirical examination of individual and system characteristics on enhancing e-learning acceptance. Australasian Journal of Educational Technology, 30(5), 562-579. https://doi.org/10.5465/ambpp.2012.15828abstract
DOI
|
17 |
Li, J. (2015). Knowledge sharing in virtual communities: A social exchange theory perspective. Journal of Industrial Engineering and Management (JIEM), 8(1), 170-183. https://doi.org/10.3926/jiem.1389
DOI
|
18 |
Lin, H. F. (2006). Impact of organizational support on organizational intention to facilitate knowledge sharing. Knowledge Management Research & Practice, 4(1), 26-35. https://doi.org/10.1057/palgrave.kmrp.8500083
DOI
|
19 |
Sharma, S., & Rehman, A. (2017). Impact of social relationships on electronic word of mouth in social networking sites: a study of Indian social network users. International Journal of Electronic Marketing and Retailing, 8(2), 93-115. https://doi.org/10.1504/ijemr.2017.085693
DOI
|
20 |
Tahar, A., Riyadh, H. A., Sofyani, H., & Purnomo, W. E. (2020). Perceived ease of use, perceived usefulness, perceived security and intention to use e-filing: The role of technology readiness. Journal of Asian Finance, Economics and Business, 7(9), 537-547. https://doi.org/10.13106/jafeb.2020.vol7.no9.537
DOI
|
21 |
Hair, J. F., Ringle, C. M., & Sarstedt, M. (2011). PLS-SEM: Indeed a silver bullet. Journal of Marketing theory and Practice, 19(2), 139-152. https://doi.org/10.2753/mtp1069-6679190202
DOI
|
22 |
Lee, J., & Hong, I. B. (2016). Predicting positive user responses to social media advertising: The roles of emotional appeal, informativeness, and creativity. International Journal of Information Management, 36(3), 360-373. https://doi.org/10.1016/j.ijinfomgt.2016.01.001
DOI
|
23 |
Khan, M. S., Wahab, A. W. A., Herawan, T., Mujtaba, G., Danjuma, S., & Al-Garadi, M. A. (2016). Virtual community detection through the association between prime nodes in online social networks and its application to ranking algorithms. IEEE Access, 4, 9614-9624. https://doi.org/10.1109/access.2016.2639563
DOI
|
24 |
Moghavvemi, S., Sharabati, M., Paramanathan, T., & Rahin, N. M. (2017). The impact of perceived enjoyment, perceived reciprocal benefits and knowledge power on students' knowledge sharing through Facebook. The International Journal of Management Education, 15(1), 1-12. https://doi.org/10.1016/j.ijme.2016.11.002
DOI
|
25 |
Nicolaou, A. I., Ibrahim, M., & Van Heck, E. (2013). Information quality, trust, and risk perceptions in electronic data exchanges. Decision Support Systems, 54(2), 986-996. https://doi.org/10.1287/isre.1060.0103
DOI
|
26 |
Aprilia, F., & Kusumawati, A. (2021). Influence of Electronic Word of Mouth on Visitor's Interest to Tourism Destinations. Journal of Asian Finance, Economics and Business, 8(2), 993-1003. https://doi.org/10.13106/jafeb.2021.vol8.no2.0993
DOI
|
27 |
Bradshaw, R., Chebbi, M., & Oztel, H. (2015). Leadership and knowledge sharing. Asian Journal of Business Research, 5(1), 1-20. https://doi.org/10.14707/ajbr.150001
DOI
|
28 |
Brodie, R. J., Ilic, A., Juric, B., & Hollebeek, L. (2013). Consumer engagement in a virtual brand community: An exploratory analysis. Journal of Business Research, 66(1), 10-114. https://doi.org/10.1016/j.jbusres.2011.07.029
DOI
|
29 |
Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 319-340. https://doi.org/10.2307/249008
DOI
|
30 |
Hajli, N., Sims, J., Zadeh, A. H., & Richard, M. O. (2017). A social commerce investigation of the role of trust in a social networking site on purchase intentions. Journal of Business Research, 71, 133-141. https://doi.org/10.1016/j.jbusres.2016.10.004
DOI
|
31 |
Singaraju, S. P., Nguyen, Q. A., Niininen, O., & Sullivan-Mort, G. (2016). Social media and value co-creation in multi-stakeholder systems: A resource integration approach. Industrial Marketing Management, 54, 44-55. https://doi.org/10.1016/j.indmarman.2015.12.009
DOI
|
32 |
Dixit, R. V., & Prakash, G. (2018). Intentions to use social networking sites (SNS) using technology acceptance model (TAM) an empirical study. Paradigm, 22(1), 65-79. https://doi.org/10.1177/0971890718758201
DOI
|
33 |
Han, H., & Kim, Y. (2010). An investigation of green hotel customers' decision formation: Developing an extended model of the theory of planned behavior. International Journal of Hospitality Management, 29(4), 659-668. https://doi.org/10.1016/j.ijhm.2010.01.001
DOI
|
34 |
Lin, C. P., & Bhattacherjee, A. (2010). Extending technology usage models to interactive hedonic technologies: a theoretical model and empirical test. Information Systems Journal, 20(2), 163-181. https://doi.org/10.1111/j.1365-2575.2007.00265.x
DOI
|
35 |
Yahia, I. B., Al-Neama, N., & Kerbache, L. (2018). Investigating the drivers for social commerce in social media platforms: Importance of trust, social support and the platform perceived usage. Journal of Retailing and Consumer Services, 41, 11-19. https://doi.org/10.1016/j.jretconser.2017.10.021
DOI
|
36 |
Yu, C., Yu, T. F., & Yu, C. C. (2013). Knowledge sharing, organizational climate, and innovative behavior: A cross-level analysis of effects. Social Behavior and Personality: an international journal, 41(1), 143-156. https://doi.org/10.2224/sbp.2013.41.1.143
DOI
|
37 |
Zhang, X., Liu, S., Deng, Z., & Chen, X. (2017). Knowledge sharing motivations in online health communities: A comparative study of health professionals and normal users. Computers in Human Behavior, 75, 797-810. https://doi.org/10.1016/j.chb.2017.06.028
DOI
|