Exploring the inhibitors and triggers of social media users’ motivation for food photo sharing

References

• Abell, A., & Biswas, D. (2023). Digital engagement on social media: how food image content influences social media and influencer marketing outcomes. Journal of Interactive Marketing, 58(1), 1–15. https://doi.org/10.1177/10949968221128556
   Web of Science ®Google Scholar
• Achmad, W. (2021). Citizen and netizen society: The meaning of social change from a technology point of view. Jurnal Mantik, 5(3), 1564–1570.
   Google Scholar
• Acquisti, A., & Gross, R. (2006). Imagined communities: Awareness, information sharing, and privacy on the Facebook (pp. 36–58). Privacy Enhancing Technologies, Springer.
   Google Scholar
• Al-Maroof, R., Ayoubi, K., Alhumaid, K., Aburayya, A., Alshurideh, M., Alfaisal, R., & Salloum, S. (2021). The acceptance of social media video for knowledge acquisition, sharing and application: A comparative study among YouYube users and TikTok users’ for medical purposes. International Journal of Data and Network Science, 5(3), 197–214. https://doi.org/10.5267/j.ijdns.2021.6.013
   Google Scholar
• Anderson, J. C., & Gerbing, D. W. (1988). Structural equation modeling in practice: A review and recommended two-step approach. Psychological Bulletin, 103(3), 411–423. https://doi.org/10.1037/0033-2909.103.3.411
   Web of Science ®Google Scholar
• Ansari, J. A. N., & Azhar, M. (2022). Predicting selfie-posting behavior through self-esteem, narcissism and exhibitionism among Indian young youth. Journal of Content Community and Communication, 15(8), 14–31. https://doi.org/10.31620/JCCC.06.22/03
   Google Scholar
• Apaolaza, V., Paredes, M. R., Hartmann, P., & D’Souza, C. (2021). How does restaurant’s symbolic design affect photo-posting on instagram? The moderating role of community commitment and coolness. Journal of Hospitality Marketing & Management, 30(1), 21–37. https://doi.org/10.1080/19368623.2020.1768195
   Web of Science ®Google Scholar
• Appel, M., & Gnambs, T. (2019). Shyness and social media use: A meta-analytic summary of moderating and mediating effects. Computers in Human Behavior, 98, 294–301. https://doi.org/10.1016/j.chb.2019.04.018
   Web of Science ®Google Scholar
• Arica, R., Cobanoglu, C., Cakir, O., Corbaci, A., Hsu, M. J., & Della Corte, V. (2022). Travel experience sharing on social media: Effects of the importance attached to content sharing and what factors inhibit and facilitate it. International Journal of Contemporary Hospitality Management, 34(4), 1566–1586. https://doi.org/10.1108/IJCHM-01-2021-0046
   Web of Science ®Google Scholar
• Arthur, C. (2006). What is the 1% rule. https://www.theguardian.com/technology/2006/jul/20/guardianweeklytechnologysection2.
   Google Scholar
• Bateman, P. J., Gray, P. H., & Butler, B. S. (2006). Community commitment: How affect, obligation, and necessity drive online behaviors. ICIS 2006 Proceedings (pp. 63–69). https://aisel.aisnet.org/icis2006/63
   Google Scholar
• Bauer, J. J., & McAdams, D. P. (2004). Personal growth in adults’ stories of life transitions. Journal of Personality, 72(3), 573–602. https://doi.org/10.1111/j.0022-3506.2004.00273.x
   PubMed Web of Science ®Google Scholar
• Berthon, P., Pitt, L., & Campbell, C. (2008). Ad lib: When customers create the ad. California Management Review, 50(4), 6–30. https://doi.org/10.2307/41166454
   Web of Science ®Google Scholar
• Bessarab, A., Mitchuk, O., Baranetska, A., Kodatska, N., Kvasnytsia, O., & Mykytiv, G. (2021). Social networks as a phenomenon of the information society. Journal of Optimization in Industrial Engineering, 14, 17–24. https://doi.org/10.22094/joie.2020.677811
   Google Scholar
• Blok, C., Eveleens, B., & Van Winkel, A. (2019, June). Growing media for food and quality of life in the period 2020-2050 [Paper presentation]. III International Symposium on Growing Media, Composting and Substrate Analysis 1305 (pp. 341–356). https://doi.org/10.17660/ActaHortic.2021.1305.46
   Google Scholar
• Bronner, F., & De Hoog, R. (2011). Vacationers and eWOM: who posts, and why, where, and what? Journal of Travel Research, 50(1), 15–26. https://doi.org/10.1177/0047287509355324
   Web of Science ®Google Scholar
• Burke, M., Marlow, C., & Lento, T. (2009, April). Feed me: Motivating newcomer contribution in social network sites [Paper presentation]. Paper Presented at ACM CHI 2009: Conference on Human Factors in Computing Systems, Boston, MA. Retrieved December 3, 2009, from http://www.thoughtcrumbs. com/publications/paper0778-burke.pdf
   Google Scholar
• Burnasheva, R., & Suh, Y. G. (2021). The influence of social media usage, self-image congruity and self-esteem on conspicuous online consumption among millennials. Asia Pacific Journal of Marketing and Logistics, 33(5), 1255–1269. https://doi.org/10.1108/APJML-03-2020-0180
   Web of Science ®Google Scholar
• Busalim, A. H., Ghabban, F., & Hussin, A. R. C. (2021). Customer engagement behaviour on social commerce platforms: An empirical study. Technology in Society, 64, 101437. https://doi.org/10.1016/j.techsoc.2020.101437
   Web of Science ®Google Scholar
• Calefato, P., La Fortuna, L., & Scelzi, R. (2016). Food-ography: Food and new media. Semiotica, 2016(211), 371–388. https://doi.org/10.1515/sem-2016-0087
   Web of Science ®Google Scholar
• Cerasoli, C. P., Nicklin, J. M., & Ford, M. T. (2014). Intrinsic motivation and extrinsic incentives jointly predict performance: A 40-year meta-analysis. Psychological Bulletin, 140(4), 980–1008. https://doi.org/10.1037/a0035661
   PubMed Web of Science ®Google Scholar
• Cheung, M. L., Pires, G., & Rosenberger, P. J. (2020). The influence of perceived social media marketing elements on consumer–brand engagement and brand knowledge. Asia Pacific Journal of Marketing and Logistics, 32(3), 695–720. https://doi.org/10.1108/APJML-04-2019-0262
   Web of Science ®Google Scholar
• Fan, Y. W., Wu, C. C., & Chiang, L. C. (2009). Knowledge sharing in virtual community: The comparison between contributors and lurkers. The 9th International Conference on Electronic Business (pp. 662–668).
   Google Scholar
• Felig, R. N., & Goldenberg, J. L. (2023). Selfie-evaluation: A meta-analysis of the relationship between selfie behaviors and self-evaluations. Personality & Social Psychology Bulletin, 01461672231158252, 1461672231158252. https://doi.org/10.1177/01461672231158252
   Google Scholar
• 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/10.1177/002224378101800104
   Web of Science ®Google Scholar
• Goldring, D., & Azab, C. (2021). New rules of social media shopping: Personality differences of US Gen Z versus Gen X market mavens. Journal of Consumer Behaviour, 20(4), 884–897. https://doi.org/10.1002/cb.1893
   Web of Science ®Google Scholar
• Gündüz, U. (2017). The effect of social media on identity construction. Mediterranean Journal of Social Sciences, 8(5), 85–92. https://doi.org/10.1515/mjss-2017-0026
   Google Scholar
• Han, J. J., Zheng, R. J., & Xu, Y. (2007). The effect of individual needs, trust, and identification in explaining participation intentions in virtual communities. In 2007 40th Annual Hawaii International Conference on System Sciences (HICSS’07) (pp. 179c-179c). IEEE.
   Google Scholar
• Hawkins, L., Farrow, C., & Thomas, J. M. (2021). Does exposure to socially endorsed food images on social media influence food intake? Appetite, 165, 105424. https://doi.org/10.1016/j.appet.2021.105424
   PubMed Web of Science ®Google Scholar
• Hoffmann, C. P., & Lutz, C. (2021). Digital divides in political participation: The mediating role of social media self‐efficacy and privacy concerns. Policy & Internet, 13(1), 6–29. https://doi.org/10.1002/poi3.225
   Web of Science ®Google Scholar
• 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
   Web of Science ®Google Scholar
• Jin, S. V. (2018). Interactive effects of Instagram Foodies’ Hashtagged# Foodporn and peer Users’ eating disorder on eating intention, envy, Parasocial interaction, and online friendship. Cyberpsychology, Behavior and Social Networking, 21(3), 157–167. https://doi.org/10.1089/cyber.2017.0476
   PubMed Web of Science ®Google Scholar
• Kang, M., & Schuett, M. A. (2013). Determinants of sharing travel experiences in social media. Journal of Travel & Tourism Marketing, 30(1–2), 93–107. https://doi.org/10.1080/10548408.2013.751237
   Web of Science ®Google Scholar
• Kim, J. Y., & Hwang, J. (2022). Who is an evangelist? Food tourists’ positive and negative eWOM behavior. International Journal of Contemporary Hospitality Management, 34(2), 555–577. https://doi.org/10.1108/IJCHM-06-2021-0707
   Web of Science ®Google Scholar
• Kim, S., & Lee, H. (2006). The impact of organizational context and information technology on employee knowledge‐sharing capabilities. Public Administration Review, 66(3), 370–385. https://doi.org/10.1111/j.1540-6210.2006.00595.x
   Web of Science ®Google Scholar
• Kross, E., Verduyn, P., Sheppes, G., Costello, C. K., Jonides, J., & Ybarra, O. (2021). Social media and well-being: Pitfalls, progress, and next steps. Trends in Cognitive Sciences, 25(1), 55–66. https://doi.org/10.1016/j.tics.2020.10.005
   PubMed Web of Science ®Google Scholar
• Kumar, R., Kumar, P., & Kumar, V. (2022). Design and implementation of privacy and security system in social media. International Journal of Advanced Networking and Applications, 13(04), 5081–5088. https://doi.org/10.35444/IJANA.2022.13411
   Google Scholar
• Lakhani, K., & Wolf, R. (2005). Why hackers do what they do. In J. Feller, B. Fitzgerald, S. Hissam, & K. Lakhani (Eds.), Perspectives in free and open-source software (pp. 3–22). MIT Press.
   Google Scholar
• Lam, I. K. V., Dioko, L. D. A., & Li, F. S. (2022). Evolving self-conceptions of Chinese travellers suggested by their travel photo-sharing behaviours. Journal of Hospitality and Tourism Management, 52, 331–340. https://doi.org/10.1016/j.jhtm.2022.07.013
   Web of Science ®Google Scholar
• Ledbetter, C. (2015). Chili’s just spent $750K to take your instagram photos to the next level. http://www.huffingtonpost.com/2015/05/18/chilis-food-photos_n_7305 692.html
   Google Scholar
• Lee, W. L., Liu, C. H., & Tseng, T. W. (2022). The multiple effects of service innovation and quality on transitional and electronic word-of-mouth in predicting customer behaviour. Journal of Retailing and Consumer Services, 64, 102791. https://doi.org/10.1016/j.jretconser.2021.102791
   Web of Science ®Google Scholar
• Li, F. (Sam). (2020). Chinese tourists’ barriers to sharing travel photos in WeChat. Sustainability, 12(3), 887. https://doi.org/10.3390/su12030887
   Google Scholar
• Li, J., Xu, X., & Ngai, E. W. (2023). Presentational effects of photos and text in electronic word-of-mouth on consumer decisions. Internet Research, 33(2), 473–499. https://doi.org/10.1108/INTR-03-2021-0143
   Web of Science ®Google Scholar
• Liao, S. H., Widowati, R., & Cheng, C. J. (2022). Investigating Taiwan Instagram users’ behaviors for social media and social commerce development. Entertainment Computing, 40, 100461. https://doi.org/10.1016/j.entcom.2021.100461
   Web of Science ®Google Scholar
• Lin, H. F. (2007). Effects of extrinsic and intrinsic motivation on employee knowledge sharing intentions. Journal of Information Science, 33(2), 135–149. https://doi.org/10.1177/0165551506068174
   Web of Science ®Google Scholar
• Lin, Y. H., & Chu, M. G. (2021). Online communication self-disclosure and intimacy development on Facebook: The perspective of uses and gratifications theory. Online Information Review, 45(6), 1167–1187. https://doi.org/10.1108/OIR-08-2020-0329
   Web of Science ®Google Scholar
• Maclean, J., Al-Saggaf, Y., & Hogg, R. (2022). Instagram photo sharing and its relationships with social connectedness, loneliness, and well-being. Social Media Society, 8(2), 205630512211076. 20563051221107650. https://doi.org/10.1177/20563051221107650
   Web of Science ®Google Scholar
• Madden, M. (2012). Privacy management on social media sites (pp. 1–20). (Pew Internet Report).
   Google Scholar
• 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
   Web of Science ®Google Scholar
• Mazzucchelli, A., Gurioli, M., Graziano, D., Quacquarelli, B., & Aouina-Mejri, C. (2021). How to fight against food waste in the digital era: Key factors for a successful food sharing platform. Journal of Business Research, 124, 47–58. https://doi.org/10.1016/j.jbusres.2020.11.055
   Web of Science ®Google Scholar
• Melore, C. (2021). Instagram insanity: Third of social media users order food just to take pictures—but don’t eat it. Study Finds (August 2) https://www.studyfinds.org/social-media- influencer-food-pictures.
   Google Scholar
• Metzger, M. J. (2006). Effects of site, vendor, and consumer characteristics on web site trust and disclosure. Communication Research, 33(3), 155–179. https://doi.org/10.1177/0093650206287076
   Web of Science ®Google Scholar
• Miguel, C. (2016). Visual intimacy on social media: From selfies to the co-construction of intimacies through shared pictures. Social Media Society, 2(2), 20–56. https://doi.org/10.1177/2056305116641705
   Web of Science ®Google Scholar
• Miller, R. S., & Lefcourt, H. M. (1982). The assessment of social intimacy. Journal of Personality Assessment, 46(5), 514–518. https://doi.org/10.1207/s15327752jpa4605_12
   PubMed Web of Science ®Google Scholar
• Muller, M. (2012). Lurking as personal trait or situational disposition: Lurking and contributing to enterprise social media. In Proceedings of the ACM 2012 conference on Computer Supported Cooperative Work (CSCW ‘12). Association for Computing Machinery, New York, NY, USA, 253–256. https://doi.org/10.1145/2145204.2145245
   Google Scholar
• Munar, A. M., & Jacobsen, J. K. S. (2014). Motivations for sharing tourism experiences through social media. Tourism Management, 43, 46–54. https://doi.org/10.1016/j.tourman.2014.01.012
   Web of Science ®Google Scholar
• Nonnecke, B., Preece, J., & Andrews, D. (2004). What lurkers and posters think of each other. Proceedings of the 37th Annual Hawaii International Conference (pp. 195–203).
   Google Scholar
• Nonnecke, R. B. (2000). Lurking in email-based discussion lists. South Bank University.
   Google Scholar
• Nov, O., Naaman, M., & Ye, C. (2009). Motivational, structural, and tenure factors that impact online community photo sharing. Proceedings of the International AAAI Conference on Web and Social Media, 3(1), 138–145. https://doi.org/10.1609/icwsm.v3i1.13954
   Google Scholar
• Oreg, S., & Nov, O. (2008). Exploring motivations for contributing to open source initiatives: The roles of contribution context and personal values. Computers in Human Behavior, 24(5), 2055–2073. https://doi.org/10.1016/j.chb.2007.09.007
   Web of Science ®Google Scholar
• Ortiz, J., Chih, W. H., & Tsai, F. S. (2018). Information privacy, consumer alienation, and lurking behavior in social networking sites. Computers in Human Behavior, 80, 143–157. https://doi.org/10.1016/j.chb.2017.11.005
   Web of Science ®Google Scholar
• Phua, J., Jin, S. V., & Kim, J. (2017). Uses and gratifications of social networking sites for bridging and bonding social capital: A comparison of Facebook, Twitter, Instagram, and Snapchat. Computers in Human Behavior, 72, 115–122. https://doi.org/10.1016/j.chb.2017.02.041
   Web of Science ®Google Scholar
• Rusbult, C. E., Martz, J. M., & Agnew, C. R. (1998). The investment model scale: Measuring commitment level, satisfaction level, quality of alternatives, and investment size. Personal Relationships, 5(4), 357–387. https://doi.org/10.1111/j.1475-6811.1998.tb00177.x
   Web of Science ®Google Scholar
• Sun, N., Rau, P. P. L., & Ma, L. (2014). Understanding lurkers in online communities: A literature review. Computers in Human Behavior, 38, 110–117. https://doi.org/10.1016/j.chb.2014.05.022
   Web of Science ®Google Scholar
• Tang, L., Ma, W., Grobler, M., Meng, W., Wang, Y., & Wen, S. (2019). Faces are protected as privacy: An automatic tagging framework against unpermitted photo sharing in social media. IEEE Access, 7, 75556–75567. https://doi.org/10.1109/ACCESS.2019.2921029
   Web of Science ®Google Scholar
• Taylor, D. G. (2020). Putting the “self” in selfies: how narcissism, envy and self-promotion motivate sharing of travel photos through social media. Journal of Travel & Tourism Marketing, 37(1), 64–77. https://doi.org/10.1080/10548408.2020.1711847
   Web of Science ®Google Scholar
• Tedjamulia, S. J., Dean, D. L., Olsen, D. R., & Albrecht, C. C. (2005). Motivating content contributions to online communities: Toward a more comprehensive theory. Proceedings of the 38th Annual Hawaii International Conference on System Sciences (pp. 193b–193b). IEEE.
   Google Scholar
• Wasko, M. M., & Faraj, S. (2000). ‘It is What One Does’: Why people participate and help others in electronic communities of practice. Journal of Strategic Information Systems, 9(2–3), 155–173. https://doi.org/10.1016/S0963-8687(00)00045-7
   Web of Science ®Google Scholar
• We Are Social. (2023). Digital global overview report. https://datareportal.com/reports/digital-2023-global-overview-report. Accessed 26 January 2023.
   Google Scholar
• Wong, K. K. (2013). Partial least squares structural equation modeling (PLS-SEM) techniques using SmartPLS. Marketing Bulletin, 24, 1–32.
   Web of Science ®Google Scholar
• Xu, B., & Li, D. (2015). An empirical study of the motivations for content contribution and community participation in Wikipedia. Information & Management, 52(3), 275–286. https://doi.org/10.1016/j.im.2014.12.003
   Web of Science ®Google Scholar
• Xu, X., Yao, Z., & Sun, Q. (2019). Social media environments effect on perceived interactivity: An empirical investigation from WeChat moments. Online Information Review, 43(2), 239–255. https://doi.org/10.1108/OIR-12-2016-0344
   Web of Science ®Google Scholar
• Yang, F. X. (2017). Effects of restaurant satisfaction and knowledge sharing motivation on eWOM intentions: the moderating role of technology acceptance factors. Journal of Hospitality & Tourism Research, 41(1), 93–127. https://doi.org/10.1177/1096348013515918
   Web of Science ®Google Scholar
• Yarchi, M., Baden, C., & Kligler-Vilenchik, N. (2021). Political polarization on the digital sphere: A cross-platform, over-time analysis of interactional, positional, and affective polarization on social media. Political Communication, 38(1–2), 98–139. https://doi.org/10.1080/10584609.2020.1785067
   Web of Science ®Google Scholar
• Zhang, L., Zhu, J., & Liu, Q. (2012). A meta-analysis of mobile commerce adoption and the moderating effect of culture. Computers in Human Behavior, 28(5), 1902–1911. https://doi.org/10.1016/j.chb.2012.05.008
   Web of Science ®Google Scholar
• Zhu, J., Jiang, L., Dou, W., & Liang, L. (2019). Post, eat, change: The effects of posting food photos on consumers’ dining experiences and brand evaluation. Journal of Interactive Marketing, 46(1), 101–112. https://doi.org/10.1016/j.intmar.2018.10.002
   Google Scholar
• Zia, A., & Malik, A. A. (2019). Usage of social media, age, introversion and narcissism: A correlational study. Bahria Journal of Professional Psychology, 18(2), 33–54.
   Google Scholar
• Zollo, L., Filieri, R., Rialti, R., & Yoon, S. (2020). Unpacking the relationship between social media marketing and brand equity: The mediating role of consumers’ benefits and experience. Journal of Business Research, 117, 256–267. https://doi.org/10.1016/j.jbusres.2020.05.001
   Web of Science ®Google Scholar