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Investigation of information sharing via multiple social media platforms: a comparison of Facebook and WeChat adoption

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Abstract

This study evaluates different antecedents affecting information sharing via multiple social media platforms on a large scale. In doing so, this research compares the effects of information sharing behavior factors via Facebook and WeChat adoption. The respondents were international students studying in two Chinese universities and are the frequent users of both social media platforms. At first, quantity data has been collected through an online survey. Second, in-depth interviews were conducted to get qualitative data. To test our model and hypotheses multigroup analysis and content analysis were used. All exogenous variables such as perceived usefulness (PU), perceived ease of use (PEOU), Technological innovation (INNO) and information sharing attitude (ATT) have a positive effect on information sharing behavior (BEH). In addition, the results indicated no difference effects of PU and ATT via multiple social media platforms (WeChat and Facebook). However the effect of PEOU on information sharing attitude varied via social media platforms (WeChat and Facebook). The author found positive and stronger relationship between PEOU and ATT which is significant for Facebook only. On the other hand, the positive relationship between INNO and ATT is significant and stronger for WeChat only. We found the least research about information sharing behavior via multiple social media platforms. Besides, this study describes the patterns of information sharing on Facebook and WeChat, simultaneously.

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References

  • Agag, G., El-Masry, A.A.: Understanding consumer intention to participate in online travel community and effects on consumer intention to purchase travel online and WOM: an integration of innovation diffusion theory and TAM with trust. Comput. Hum. Behav. 60, 97–111 (2016). https://doi.org/10.1016/j.chb.2016.02.038

    Article  Google Scholar 

  • Agarwal, R., Prasad, J.: Conceptual and operational definition of personal innovativeness in the domain of information technology. Inf. Syst. Res. 9(2), 204–224 (1998)

    Article  Google Scholar 

  • Ajzen, : The theory of planned behavior. Organ. Behav. Hum. Decis. Process. 50, 179–211 (1991)

    Article  Google Scholar 

  • Algesheimer, R., Dholakia, U.M., Herrmann, A.: The social influence of brand communities: evidence from European car clubs. J. Market. 59(3), 19–34 (2005)

    Article  Google Scholar 

  • Amaro, S., Duarte, P.: An integrative model of consumers’ intentions to purchase travel online. Tour. Manag. 46, 64–79 (2015)

    Article  Google Scholar 

  • Ayeh, J.K., Au, N., Law, R.: Predicting the intention to use consumer generated media for travel planning. Tour. Manag. 35, 132–143 (2013)

    Article  Google Scholar 

  • Barki, H., Hartwick, J.: Measuring user participation, user involvement, and user attitude. MIS Q. 18, 59–82 (1994)

    Article  Google Scholar 

  • Chin, W.W.: The partial least squares approach for structural equation modeling. In: Marcoulides, G.A. (ed.) Methodology for Business and Management Modern Methods for Business Research, pp. 295–336. Lawrence Erlbaum Associates Publishers, Mahwah, NJ (1998)

    Google Scholar 

  • Chong, M., Kim, H.J.M.: Social roles and structural signatures of top influentials in the #prayforparis Twitter network. Qual. Quant. 54, 315–333 (2020). https://doi.org/10.1007/s11135-019-00952-z

    Article  Google Scholar 

  • Chunmei, G., Weijun, W.: Uses and gratifications of social media: a comparison of microblog and WeChat. J. Syst. Inf. Technol. 17(4), 351–363 (2015). https://doi.org/10.1108/JSIT-06-2015-0052

    Article  Google Scholar 

  • Currall, S.C., Judge, T.A.: Measuring trust between organizational boundary role persons. Organ. Behav. Hum. Decis. Process. 64(2), 151–170 (1995). https://doi.org/10.1006/obhd.1995.1097

    Article  Google Scholar 

  • Davis, F.D.: Perceived usefulness, perceived ease of use and user acceptance of information technology. MIS Q. 13(3), 319–340 (1989)

    Article  Google Scholar 

  • Di, Z., Zhao, W., Ma, M.: A comparison of the use of social media in China and UK higher education in art and design subjects. In: The European Conference on Education 2017 Official Conference Proceedings, iafor The International Academic Forum, pp. 467–478 (2017). www.iafor.org

  • Dai, H., Palvi, P.C.: Mobile commerce adoption in China and the United States: a cross-cultural study. ACM SIGMIS Database DATABASE Adv. Inf. Sys. 40(4), 43–61 (2009)

  • Fishbein, M., Ajzen, I.: Belief, Attitude, Intention, and Behavior: An Introduction to Theory and Research. Addison-Wesley Pub. Co, Reading, MA (1975)

    Google Scholar 

  • Fornell, C., Larcker, D.F.: Evaluating structural equation models with unobservable variables and measurement errors. J. Mark. Res. 18(1), 39–50 (1981)

    Article  Google Scholar 

  • Gaskin, J., Lim, J.: Multigroup Analysis AMOS Plugin. Gaskination’s StatWiki (2018)

  • Hair, J.F., Black, W.C., Babin, B.J., Anderson, R.E., Tatham, R.L.: Multivariate Data Anaylsis, 7th edn. Pearson Education Inc., New Jersey (2010)

    Google Scholar 

  • Hong-Lei, M., Young-Chan, L.: Examining the influencing factors of third party mobile payment adoption: A comparative study of Alipay and WeChat Pay. J. Inf. Syst. 12, 247–284 (2017). https://doi.org/10.5859/KAIS.2017.26.4.247

    Article  Google Scholar 

  • Hung, Y.C., Yang, Y.L., Yang, H.E., Chuang, Y.: Factors affecting the adoption of e-commerce for the tourism industry in Taiwan. Asia Pac. J. Tour. Res. 16(1), 105–119 (2011)

    Article  Google Scholar 

  • Jensen, J.M.: Travellers’ intentions to purchase travel products online: the role of shopping orientation. Adv. Tour. Econ. New Dev. (2009). https://doi.org/10.1007/978-3-7908-2124-6_13

    Article  Google Scholar 

  • Johann, M., Bülow, L.: One does not simply create a meme: conditions for the difusion of internet memes. Int. J. Commun. 13, 23 (2019)

    Google Scholar 

  • Kim, S., Lee, J., Yoon, D.: Norms in social media: the application of theory of reasoned action and personal norms in predicting interactions with Facebook page like ads”. Commun. Res. Rep. 32, 322–331 (2015). https://doi.org/10.1080/08824096.2015.1089851

    Article  Google Scholar 

  • Kim, Y., Sohn, D., Choi, S.M.: Cultural difference in motivations for using social network sites: a comparative study of American and Korean college students. Comput. Hum. Behav. 27, 365–372 (2011)

    Article  Google Scholar 

  • Kuo, B.C., Roldan-Bau, A., Lowinger, R.: Psychological help-seeking among Latin American immigrants in Canada: testing a culturally-expanded model of the theory of reasoned action using path analysis. Int. J. Adv. Couns. 37(2), 179–197 (2015)

    Article  Google Scholar 

  • Kwon, S.J., Park, E., Kim, K.J.: What drives successful social networking services? A comparative analysis of user acceptance of Facebook and Twitter. Soc. Sci. J. 51(4), 534–554 (2014). https://doi.org/10.1016/j.soscij.2014.04.005

    Article  Google Scholar 

  • Lai, P.C.: The literature review of technology adoption models and theories for novelty technology. J. Inf. Syst. Technol. Manag. 14(1), 21–38 (2017). https://doi.org/10.4301/s1807-17752017000100002

    Article  Google Scholar 

  • Lee, Y.H., Hsieh, Y.C., Hsu, C.N.: Adding innovation diffusion theory to the technology acceptance model: supporting employees’ intentions to use e learning systems. Educ. Technol. Soc. 14(4), 124–137 (2011)

    Google Scholar 

  • Lee, Y.H., Wohn, D.Y.: Are there cultural differences in how we play? Examining cultural effects on playing social network games. Comput. Hum. Behav. 28, 1307–1317 (2012)

    Article  Google Scholar 

  • Li, Y., Wang, X., Lin, X., Hajli, M.: Seeking and sharing health information on social media: a net valence model and cross-cultural comparison. Technol. Forecast. Soc. Chang. 126, 28–40 (2018). https://doi.org/10.1016/j.techfore.2016.07.021

    Article  Google Scholar 

  • Liébana-Cabanillas, F., Marinković, V., Kalinić, Z.: A SEM-neural network approach for predicting antecedents of m-commerce acceptance. Int. J. Inf. Manag. 37(2), 14–24 (2017). https://doi.org/10.1016/j.ijinfomgt.2016.10.008

    Article  Google Scholar 

  • Lin, C.: Gender as a moderator of the relationship between Facebook® addiction and self-efficacy for learning in a college sample: the mediating effect of deliberative belief. Qual. Quant. 52, 2435–2454 (2018). https://doi.org/10.1007/s11135-017-0576-6

    Article  Google Scholar 

  • Lincolin, Y., Guba, E.: Naturalistic Inquiry. Sage, New York, NY (1985)

    Book  Google Scholar 

  • Liu, L., Cheung, C.M.K., Lee, M.K.O.: An empirical investigation of information sharing behavior on social commerce sites. Int. J. Inf. Manag. 36(5), 686–699 (2016)

    Article  Google Scholar 

  • Mital, M., Chang, V., Choudhary, P., Papa, A., Pani, A.K.: Adoption of Internet of Things in India: A test of competing models using a structured equation modeling approach. Technol. Forecast. Soc. Change (2017). https://doi.org/10.1016/j.techfore.2017.03.001

    Article  Google Scholar 

  • Moore, G., Benbasat, I.: Development of an instrument to measure the perceptions of adopting an information technology innovation. Inf. Syst. Res. 2, 192–222 (1991)

    Article  Google Scholar 

  • Moore, G.C., Benbasat, I.: Integrating Diffusion of Innovations and Theory of Reasoned Action models to predict utilization of information technology by end-users. In: Kautz, K., Pries-Heje, J. (eds.) Diffusion and Adoption of Information Technology. IFIP—The International Federation for Information Processing, pp. 132–146. Springer, Boston, MA (1996). https://doi.org/10.1007/978-0-387-34982-4_10

    Chapter  Google Scholar 

  • Number of monthly active Facebook users worldwide as of 1st quarter (2018) https://www.statista.com/statistics/264810/number-of-monthly-active-facebook-users-worldwide (cited on 25/5/2018)

  • Oeldorf-Hirsch, A., McGloin, R.: Identifying the predictors of participation in Facebook Pictivism campaigns. Soc. Med. Soc. 3(3), 1–11 (2017). https://doi.org/10.1177/2056305117727637

    Article  Google Scholar 

  • Olushola, T., Abiola, J.O.: The efficacy of technology acceptance model: a review of applicable theoretical models in information technology researches. Quest J. J. Res. Bus. Manag. 4(11), 70–83 (2017)

    Google Scholar 

  • Persico, D., Manca, S., Pozzi, F.: Adapting the technology acceptance model to evaluate the innovative potential of e-learning systems. Comput. Hum. Behav. 30, 614–622 (2014)

    Article  Google Scholar 

  • Shang, S.S., Li, E., Wu, Y.: Field effect of social media platforms on information-sharing continuance: do reach and richness matters? Inf. Manag. 54(2), 241–255 (2017)

    Article  Google Scholar 

  • Sheldon, P., Rauschnabel, P., Antony, M.G., Car, S.: Across—cultural comparison of Croatian and American social network sites: exploring cultural differences in motives for Instagram use. Comput. Hum. Behav. 75, 643–651 (2017)

    Article  Google Scholar 

  • Shimp, T.A., Kavas, A.: The theory of reasoned action applied to coupon usage. J. Consum. Res. 11, 795–809 (1984). https://doi.org/10.1086/209015

    Article  Google Scholar 

  • Stastista 1st quarter annual report (2020). https://www.statista.com/statistics/264810/number-of-monthly-active-facebook-users-worldwide/ (cited on 8/9/2020)

  • Taherdoost, H.: A review of technology acceptance and adoption models and theories. In: 11th International Conference Inter-disciplinarity in Engineering, INTER-ENG, 5-6 October (2018), Tirgu-Mures, Romania (2018)

  • Tencent 1st Quarter Annual Report (2020). https://www.tencent.com/en-us/investors.html (cited on 8/9/2020)

  • Tian, M., Xu, G.: Exploring the determinants of users’ satisfaction of WeChat official accounts. In: 3rd International Conference on Information Management (ICIM), Chengdu, pp. 362–366 (2017). https://doi.org/10.1109/infoman.2017.7950409

  • Wamba, S.F., Bhattacharya, M., Trinchera, L., Ngai, E.W.: Role of intrinsic and extrinsic factors in user social media acceptance within workspace: Assessing unobserved heterogeneity. Int. J. Inf. Manag. 37, 1–13 (2017)

    Article  Google Scholar 

  • WeChat has hit 1 billion monthly active users(http://www.businessinsider.com/wechat-has-hit-1-billion-monthly-active-users-2018-3?r=UK&IR=T) (cited on 25/5/2018)

  • Wei, T.T., Marthandan, G., Chong, A.Y.-L., Ooi, K.-B., Arumugam, S.: What drives Malaysian m-commerce? An empirical analysis. Ind. Manag. Data Syst. 109(3), 370–388 (2009)

    Article  Google Scholar 

  • Workman, M.: New media and the changing face of information technology use: the importance of task pursuit, social influence, and experience. Comput. Hum. Behav. 31, 111–117 (2014)

    Article  Google Scholar 

  • Yang, H.D., Yoo, Y.: It’s all about attitude: revisiting the technology acceptance model. Decis. Support Syst. 38(1), 19–31 (2004)

    Article  Google Scholar 

  • Yu, T.K., Wu, G.S.: Determinants of internet shopping behavior: an application of reasoned behaviour theory. Int. J. Manag. 24(4), 744–762 (2007)

    Google Scholar 

  • Zolkepli, I.A., Kamarulzaman, Y.: Social media adoption: the role of media needs and innovation characteristics. Comput. Hum. Behav. 43, 189–209 (2015). https://doi.org/10.1016/j.chb.2014.10.050

    Article  Google Scholar 

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Correspondence to Muhammad Riaz.

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Appendix

Appendix

Constructs/items

1 Perceived Usefulness (PU) (Wamba et al. 2017). Extemely disagree (1)- Extremely Agree (7)

  1. Whenever i share any information on Facebook/WeChat it will present my effectiveness

  2. Content shared on social media platforms (Facebook/WeChat) will improve my level of knowledge

  3. Sharing information on social media platforms (Facebook/WeChat) improves my work performance

  4. Sharing information, pictures and videos on Facebook/WeChat offers me enough advantages

2 Perceived Ease Of Use (PEOU) (Liebana-Cabanillas et al. 2017; Agag and El-Masry 2016) Extremely disagree (1)- Extremely Agree (7)

  1. Sharing videos, pictures and other data on is social media (Facebook/WeChat) is so simple

  2. My participation and interaction with my friends via Facebook/WeChat is clear and understandable

  3. It need less efforts to share content on Facebook/WeChat

  4. With the help of social media platform (Facebook/WeChat), i can easily share information and communicate with others

  5. Whatever and whenever i want to share, Mostly i share on social media platfroms (Facebook/WeChat)

3 Technological Innovations (INNO) (Hong-Lei and Young-Chan 2017; Zolkepli and Kamarulzaman 2015). Extemely disagree (1)- Extremely Agree (7)

  1. Social media platform (Facebook/WeChat) for information sharing suits with all aspects of my life style

  2. Due to up-to-date (Facebook/WeChat) services, i can share anything with my friends in a limited time

  3. Social media platform (facebook/WeChat) fits well with the way, i like to share information, pictures and other content

  4. Instead of other alternatives I would prefer social media platform (Facebook/WeChat) to share videos and other content

  5. Using social media platform (facebook/WeChat) for information sharing is well-matched with my current situation

4 Information Sharing Attitude (ATT) (Amaro and Duarte 2015) Extemely disagree (1)- Extremely Agree (7)

  1. It would be a great idea to share information, knowledge and other content via social media platform (Facebook/WeChat)

  2. I like to share pictures, information and videos through Facebook/WeChat.

  3. Generally i have optimistic and positive approach towards social media (Facebook/WeChat) for sharing content and information.

  4. I feel comfortable in sharing my ideas with friends and relatives through social media platfroms (Facebook/WeChat)

5 Information Sharing Behavior (Beh) (Shang et al. 2017) Extemely disagree (1)- Extremely Agree (7)

  1. In future, I plan to continue sharing information on social media platform (Facebook/WeChat)

  2. I will encourage my friends and relatives to use social media platform (Facebook/WeChat) for sharing useful information

  3. I frequently use social media platform (Facebook/WeChat). as a source of sharing ideas and communication

  4. I will upload pictures and other content on social media platforms (Facebook/WeChat) to share with my target people

  5. I will actively participate in group discussion on social media platforms (Facebook/WeChat) among friends and relatives

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Riaz, M., Sherani Investigation of information sharing via multiple social media platforms: a comparison of Facebook and WeChat adoption. Qual Quant 55, 1751–1773 (2021). https://doi.org/10.1007/s11135-020-01079-2

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