[
Ahmad, A., & Hadi, N.U. (2020). Impact of Digitization on Consumer Buying Behavior with Respect to Consumer Demographic Factors. Foundation University Journal of Business & Economics, 5(1), 1-20.
]Search in Google Scholar
[
Abbasi, A. Z., Tsiotsou, R. H., Hussain, K., Rather, R. A., & Ting, D. H. (2023). Investigating the impact of social media images’ value, consumer engagement, and involvement on eWOM of a tourism destination: A transmittal mediation approach. Journal of Retailing and Consumer Services, 71, 103231.
]Search in Google Scholar
[
Abbas, A. F., Jusoh, A. B., Mas’od, A., & Ali, J. (2020). Bibliometric analysis of global research trends on electronic word of mouth using Scopus database. Journal of Critical Reviews, 7(16), 405-412.
]Search in Google Scholar
[
Afendi, A. (2020). The effect of halal certification, halal awareness and product knowledge on purchase decisions for halal fashion products. Journal of Digital Marketing and Halal Industry, 2(2), 145-154.
]Search in Google Scholar
[
Ajzen, I. (1989). Attitude structure and behavior. Attitude structure and function, 241, 274.
]Search in Google Scholar
[
Al-Adwan, A. S., & Kokash, H. (2019). The driving forces of Facebook social commerce. Journal of Theoretical and Applied Electronic Commerce Research, 14(2), 15–32.
]Search in Google Scholar
[
Al-Omoush, K. S., de Lucas Ancillo, A., & Gavrila, S. G. (2022). The role of cultural values in social commerce adoption in the Arab world: An empirical study. Technological Forecasting and Social Change, 176, Article number 121440.
]Search in Google Scholar
[
Anglim, J., Sojo, V., Ashford, L. J., Newman, A., & Marty, A. (2019). Predicting employee attitudes to workplace diversity from personality, values, and cognitive ability. Journal of Research in Personality, 83, Article number 103865.
]Search in Google Scholar
[
Busalim, A. H., & Ghabban, F. (2021). Customer engagement behavior on social commerce platforms: An empirical study. Technology in Society, 64, 101437.
]Search in Google Scholar
[
Chen, Y. H., & Barnes, S. (2007). Initial trust and online buyer behavior. Industrial management & data systems, 107(1), 21-36.
]Search in Google Scholar
[
Cheng, X., Gu, Y., & Shen, J. (2019). An integrated view of particularized trust in social commerce: An empirical investigation. International Journal of Information Management, 45, 1-12.
]Search in Google Scholar
[
Creedon, P. S., & Hayes, A. F. (2015). Small sample mediation analysis: How far can we push the bootstrap. Annual Conference of the Association for Psychological Science.
]Search in Google Scholar
[
Duffett, R. (2020). The YouTube marketing communication effect on cognitive, affective and behavioral attitudes among Generation Z consumers. Sustainability, 12(12), 5075.
]Search in Google Scholar
[
Dutta, N., & Bhat, A. (2016). Exploring the effect of store characteristics and interpersonal trust on purchase intention in the context of online social media marketing. Journal of Internet Commerce, 15(3), 239-273.
]Search in Google Scholar
[
Eti, I. A., Horaira, M. A., & Bari, M. M. (2021). Power and stimulus of social media marketing on consumer purchase intention in Bangladesh during the COVID-19. International Journal of Research in Business and Social Science (2147-4478), 10(1), 28-37.
]Search in Google Scholar
[
Faul, F., Erdfelder, E., Buchner, A., & Lang, A.-G. (2009). Statistical power analyses using G* Power 3.1: Tests for correlation and regression analyses. Behavior Research Methods, 41(4), 1149–1160.
]Search in Google Scholar
[
Featherstone, J. D., & Zhang, J. (2020). Feeling angry: the effects of vaccine misinformation and refutational messages on negative emotions and vaccination attitude. Journal of Health Communication, 25(9), 692-702.
]Search in Google Scholar
[
Forman, C., Ghose, A., & Wiesenfeld, B. (2008). Examining the relationship between reviews and sales: The role of reviewer identity disclosure in electronic markets. Information systems research, 19(3), 291-313.
]Search in Google Scholar
[
Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 39–50.
]Search in Google Scholar
[
Friedrich, T., Schlauderer, S., & Overhage, S. (2019). The impact of social commerce feature richness on website stickiness through cognitive and affective factors: An experimental study. Electronic Commerce Research and Applications, 36, 100861.
]Search in Google Scholar
[
Gao, Y., Xie, Z., & Li, D. (2021). Electronic cigarette users’ perspective on the COVID-19 pandemic: observational study using Twitter data. JMIR Public Health and Surveillance, 7(1), e24859.
]Search in Google Scholar
[
Gefen, D., Karahanna, E., & Straub, D. W. (2003). Trust and TAM in online shopping: An integrated model. MIS Quarterly, 51–90.
]Search in Google Scholar
[
Goraya, M. A. S., Jing, Z., Shareef, M. A., Imran, M., Malik, A., & Akram, M. S. (2021). An investigation of the drivers of social commerce and e-word-of-mouth intentions: Elucidating the role of social commerce in E-business. Electronic Markets, 31, 181-195.
]Search in Google Scholar
[
Hadi, N. U. (2022). Specifying the Problem of Measurement Models Misspecification in Management Sciences Literature. Journal of International Cooperation and Development, 5(3), 106-115.
]Search in Google Scholar
[
Hadi, N.U., Abdullah, N., Zygiaris, S., Ahmad, G., Saleh, M.F., & Hossain, M.M. (2023). Determinants of Small Business Success: A Harmonization Between Resources and Strategies. In Hamdan, A., Harraf, A., Buallay, A., Arora, P., Alsabatin, H. (Eds.). From Industry 4.0 to Industry 5.0. Studies in Systems Decision and Control. Cham: Springer
]Search in Google Scholar
[
Hajli, M. (2013). A research framework for social commerce adoption. Information Management & Computer Security, 21(3), 144-154.
]Search in Google Scholar
[
Hajli, N. (2015). Social commerce constructs and consumers’ intention to buy. International journal of information management, 35(2), 183-191.
]Search in Google Scholar
[
Hajli, N., & Lin, X. (2016). Exploring the security of information sharing on social networking sites: The role of perceived control of information. Journal of Business Ethics, 133, 111-123.
]Search in Google Scholar
[
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.
]Search in Google Scholar
[
Hameed, F., Malik, I. A., & Hadi, N.U., & Raza, M.A. (2023). Brand awareness and purchase intention in the age of digital communication: A moderated mediation model of celebrity endorsement and consumer attitude. Online Journal of Communication and Media Technologies, 13(2), Article number e202309.
]Search in Google Scholar
[
Harman, H. H. (1976). Modern factor analysis. University of Chicago Press.
]Search in Google Scholar
[
Hassanein, K., & Head, M. (2005). The impact of infusing social presence in the web interface: An investigation across product types. International Journal of Electronic Commerce, 10(2), 31–55.
]Search in Google Scholar
[
Hayes, A. F. (2012). PROCESS: A versatile computational tool for observed variable mediation, moderation, and conditional process modeling. University of Kansas, KS.
]Search in Google Scholar
[
Herold, K., Sipilä, J., Tarkiainen, A., & Sundqvist, S. (2018). Facts or opinions: Which make a difference? Word-of-mouth and attitude change in a high-involvement service context. Services Marketing Quarterly, 39(4), 261-276.
]Search in Google Scholar
[
Hsiao, K.-L., Chuan-Chuan Lin, J., Wang, X.-Y., Lu, H.-P., & Yu, H. (2010). Antecedents and consequences of trust in online product recommendations: An empirical study in social shopping. Online Information Review, 34(6), 935–953.
]Search in Google Scholar
[
Hsu, L. C. (2022). Effect of eWOM review on beauty enterprise: a new interpretation of the attitude contagion theory and information adoption model. Journal of Enterprise Information Management, 35(2), 376-413.
]Search in Google Scholar
[
Huang, Z., & Benyoucef, M. (2013). From e-commerce to social commerce: A close look at design features. Electronic Commerce Research and Applications, 12(4), 246–259.
]Search in Google Scholar
[
Khalid, Z., & Hadi, N. U. (2021). Measuring a Multifaceted Concept: A high Order Confirmatory Factor Analysis Towards Internal Marketing. Management & Marketing. Challenges for the Knowledge Society, 16(3), 228-245.
]Search in Google Scholar
[
Kim, M., Lee, S. M., Choi, S., & Kim, S. Y. (2021). Impact of visual information on online consumer review behavior: Evidence from a hotel booking website. Journal of Retailing and Consumer Services, 60, Article number 102494.
]Search in Google Scholar
[
Kim, S., & Park, H. (2013). Effects of various characteristics of social commerce (s-commerce) on consumers’ trust and trust performance. International Journal of Information Management, 33(2), 318-332.
]Search in Google Scholar
[
Kim, S., Baek, T. H., & Yoon, S. (2020). The effect of 360-degree rotatable product images on purchase intention. Journal of Retailing and Consumer Services, 55, Article number 102062.
]Search in Google Scholar
[
Koufaris, M. (2002). Applying the technology acceptance model and flow theory to online consumer behavior. Information Systems Research, 13(2), 205–223.
]Search in Google Scholar
[
Kühn, S. W., & Petzer, D. J. (2018). Fostering purchase intentions toward online retailer websites in an emerging market: An SOR perspective. Journal of Internet Commerce, 17(3), 255-282.
]Search in Google Scholar
[
Kumar, N., & Benbasat, I. (2006). Research note: The influence of recommendations and consumer reviews on evaluations of websites. Information Systems Research, 17(4), 425–439.
]Search in Google Scholar
[
Lăzăroiu, G., Neguriţă, O., Grecu, I., Grecu, G., & Mitran, P. C. (2020). Consumers’ decision-making process on social commerce platforms: Online trust, perceived risk, and purchase intentions. Frontiers in Psychology, 11, 890.
]Search in Google Scholar
[
Lee, K. Y., & Choi, H. (2019). Predictors of electronic word-of-mouth behavior on social networking sites in the United States and Korea: Cultural and social relationship variables. Computers in Human Behavior, 94, 9-18.
]Search in Google Scholar
[
Leong, L. Y., Hew, T. S., Ooi, K. B., & Chong, A. Y. L. (2020). Predicting the antecedents of trust in social commerce–A hybrid structural equation modeling with a neural network approach. Journal of Business Research, 110, 24-40.
]Search in Google Scholar
[
Leth-Steensen, C., & Gallitto, E. (2016). Testing mediation in structural equation modeling: The effectiveness of the test of joint significance. Educational and Psychological Measurement, 76(2), 339–351.
]Search in Google Scholar
[
Li, C. Y. (2019). How social commerce constructs influence customers’ social shopping intention? An empirical study of a social commerce website. Technological Forecasting and Social Change, 144, 282-294.
]Search in Google Scholar
[
Li, M. H. (2019). Exploring short video application users’ visit intention: Applying the stimulus-organism-response model. Asian Social Science, 15(12), 8-19.
]Search in Google Scholar
[
Lina, L. F., & Ahluwalia, L. (2021). Customers’ impulse buying in social commerce: The role of flow experience in personalized advertising. Jurnal Manajemen Maranatha, 21(1), 1-8.
]Search in Google Scholar
[
Lu, H., Nie, P., & Qian, L. (2021). Do quarantine experiences and attitudes towards COVID-19 affect the distribution of mental health in China? A quantile regression analysis. Applied Research in Quality of Life, 16, 1925-1942.
]Search in Google Scholar
[
Madden, T. J., Ellen, P. S., & Ajzen, I. (1992). A comparison of the theory of planned behavior and the theory of reasoned action. Personality and social psychology Bulletin, 18(1), 3-9.
]Search in Google Scholar
[
Mahmood, M., Batool, S. H., Rafiq, M., & Safdar, M. (2022). Examining digital information literacy as a determinant of women's online shopping behavior. Information Technology & People, 35(7), 2098-2114.
]Search in Google Scholar
[
Malik, I. A., & Hadi, N. U. (2019). Inspirational factors of electronic word of mouth: a case of social networking sites. Journal of Managerial Sciences, 13(2), 253-254.
]Search in Google Scholar
[
Malik, I.A., Hadi, N.U., Raza, M.A., Lodhi, R.N., & Shabbir, S.A. (2020). Apprehending Inspirational Persuasion Factors for Intention to use eWOM by Highlighting Mediation of Attitude towards eWOM: A Case of Social Network Sites. Pacific Business Review International, 13(4), 83-98.
]Search in Google Scholar
[
Martins, C., Oliveira, T., & Popovič, A. (2014). Understanding the 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.
]Search in Google Scholar
[
Mathieson, K. (1991). Predicting user intentions: comparing the technology acceptance model with the theory of planned behavior. Information systems research, 2(3), 173-191.
]Search in Google Scholar
[
Mikalef, P., Giannakos, M. N., & Pappas, I. O. (2017). Designing social commerce platforms based on consumers’ intentions. Behavior & Information Technology, 36(12), 1308-1327.
]Search in Google Scholar
[
Ng, C. S. P. (2013). Intention to purchase on social commerce websites across cultures: A cross-regional study. Information & Management, 50(8), 609-620.
]Search in Google Scholar
[
Nzeku, B., & Duffett, R. G. (2021). The Use of Social Media as a Marketing Tool by Tourist Attractions: Influence on Cognitive, Affective and Behavioural Consumer Attitudes. African Journal of Hospitality, Tourism and Leisure, 10(2), 742-758.
]Search in Google Scholar
[
Ozturk, R. (2020). Health or death? The online purchase intentions of consumers during the COVID-19 pandemic. Transnational Marketing Journal (TMJ), 8(2), 219-241.
]Search in Google Scholar
[
Pagani, M., & Mirabello, A. (2011). The influence of personal and social-interactive engagement in social TV websites. International Journal of Electronic Commerce, 16(2), 41–68.
]Search in Google Scholar
[
Pang, H. (2021). Identifying associations between mobile social media users’ perceived values, attitude, satisfaction, and eWOM engagement: The moderating role of affective factors. Telematics and Informatics, 59, Article number 101561.
]Search in Google Scholar
[
Pantelimon, F. V., Georgescu, T. M., & Posedaru, B. Ş. (2020). The impact of mobile e-commerce on GDP: A comparative analysis between Romania and Germany and how covid-19 influences the e-commerce activity worldwide. Informatica Economica, 24(2), 27-41.
]Search in Google Scholar
[
Pavlou, P. A. (2003). Consumer acceptance of electronic commerce: Integrating trust and risk with the technology acceptance model. International journal of electronic commerce, 7(3), 101-134.
]Search in Google Scholar
[
Petty, R. E., Cacioppo, J. T., Petty, R. E., & Cacioppo, J. T. (1986). The elaboration likelihood model of persuasion. In Petty, R. E., Cacioppo, J.T. (Eds.). Communication and Persuasion (pp. 1-24). New York, NY: Springer.
]Search in Google Scholar
[
Phipps, D. J., Hannan, T. E., Rhodes, R. E., & Hamilton, K. (2021). A dual-process model of affective and instrumental attitudes in predicting physical activity. Psychology of Sport and Exercise, 54, Article number 101899.
]Search in Google Scholar
[
Podsakoff, P. M., MacKenzie, S. B., & Podsakoff, N. P. (2012). Sources of method bias in social science research and recommendations on how to control it. Annual Review of Psychology, 63, 539–569.
]Search in Google Scholar
[
Raza, A., Asif, M., & Akram, M. (2023). Give your hunger a new option: Understanding consumers’ continuous intention to use online food delivery apps using trust transfer theory. International Journal of Consumer Studies, 47(2), 474-495.
]Search in Google Scholar
[
Russell, J. A., & Mehrabian, A. (1974). Distinguishing anger and anxiety in terms of emotional response factors. Journal of Consulting and clinical psychology, 42(1), 79.
]Search in Google Scholar
[
Shah, S. K. A., & Hadi, N. U. (2019). Service Quality Dimensions and Patient Satisfaction: A Two-sided: Empirical Approach. Journal of Ayub Medical College, 31(4), 593-601.
]Search in Google Scholar
[
Senbeto, D. L., & Hon, A. H. (2020). The impacts of social and economic crises on tourist behavior and expenditure: an evolutionary approach. Current Issues in Tourism, 23(6), 740-755.
]Search in Google Scholar
[
Shadkam, M., & O’Hara, J. (2013). Social Commerce: The Next Generation of E-Commerce. AWERProcedia Information Technology & Computer Science, 3, 1636-1641.
]Search in Google Scholar
[
Sharma, S., Mukherjee, S., Kumar, A., & Dillon, W. R. (2005). A simulation study to investigate the use of cutoff values for assessing model fit in covariance structure models. Journal of Business Research, 58(7), 935–943.
]Search in Google Scholar
[
Sheikh, Z., Yezheng, L., Islam, T., Hameed, Z., & Khan, I. U. (2019). Impact of social commerce constructs and social support on social commerce intentions. Information Technology & People, 32(1), 68-93.
]Search in Google Scholar
[
Sheng, J., Lee, Y. H., & Lan, H. (2023). Parasocial relationships with micro-influencers: do sponsorship disclosure and electronic word-of-mouth disrupt?. Internet Research.
]Search in Google Scholar
[
Sheth, J. (2020). Impact of Covid-19 on consumer behavior: Will the old habits return or die?. Journal of business research, 117, 280-283.
]Search in Google Scholar
[
Shih, C. F., & Venkatesh, A. (2004). Beyond adoption: Development and application of a use-diffusion model. Journal of Marketing, 68(1), 59-72.
]Search in Google Scholar
[
Stevens, C. J., Baldwin, A. S., Bryan, A. D., Conner, M., Rhodes, R. E., & Williams, D. M. (2020). Affective determinants of physical activity: a conceptual framework and narrative review. Frontiers in Psychology, 11, 568331.
]Search in Google Scholar
[
Svenningsson, J., Höst, G., Hultén, M., & Hallström, J. (2021). Students’ attitudes toward technology: Exploring the relationship among affective, cognitive and behavioral components of the attitude construct. International Journal of Technology and Design Education, 1-21.
]Search in Google Scholar
[
Ullman, J. B., & Bentler, P. M. (2012). Structural equation modeling. Handbook of Psychology, Second Edition, 2.
]Search in Google Scholar
[
Ventre, I., Mollá-Descals, A., & Frasquet, M. (2021). Drivers of social commerce usage: a multi-group analysis comparing Facebook and Instagram. Economic Research-Ekonomska Istraživanja, 34(1), 570-589.
]Search in Google Scholar
[
Verma, D., & Dewani, P. P. (2021). eWOM credibility: a comprehensive framework and literature review. Online Information Review, 45(3), 481-500.
]Search in Google Scholar
[
Wang, X., Lin, X., & Spencer, M. K. (2019). Exploring the effects of extrinsic motivation on consumer behaviors in social commerce: Revealing consumers’ perceptions of social commerce benefits. International Journal of Information Management, 45, 163-175.
]Search in Google Scholar
[
Wu, J. H., & Wang, S. C. (2005). What drives mobile commerce?: An empirical evaluation of the revised technology acceptance model. Information & Management, 42(5), 719-729.
]Search in Google Scholar
[
Wu, S. R., Greaves, M., Chen, J., & Grady, S. C. (2017). Green buildings need green occupants: A research framework through the lens of the Theory of Planned Behaviour. Architectural Science Review, 60(1), 5-14.
]Search in 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.
]Search in Google Scholar
[
Yang, K., Kim, J., & Kim, Y. K. (2017). The effect of brand consciousness on interpersonal influences, brand values, and purchase intention: Cases for American and Korean college students. Journal of Global Fashion Marketing, 8(2), 83-97.
]Search in Google Scholar
[
Yang, L., Cai, G., Yong, S., & Shi, H. (2020). Moral identity: A mediation model of moral disengagement and altruistic attitude. Social Behavior and Personality: an international journal, 48(7), 1-13.
]Search in Google Scholar
[
Yang, R., & Che, T. (2020). Do social ties matter for purchase frequency? The role of buyers’ attitude towards social media marketing. Computers in Human Behavior, 110, 106376.
]Search in Google Scholar
[
Zablocki, A., Makri, K., & Houston, M. J. (2019). Emotions within online reviews and their influence on product attitudes in Austria, USA and Thailand. Journal of interactive marketing, 46(1), 20-39.
]Search in Google Scholar
[
Zablocki, A., Schlegelmilch, B., & Houston, M. J. (2019). How valence, volume, and variance of online reviews influence brand attitudes. AMS Review, 9, 61-77.
]Search in Google Scholar
[
Zha, X., Yang, H., Yan, Y., Liu, K., & Huang, C. (2018). Exploring the effect of social media information quality, source credibility and reputation on informational fit-to-task: Moderating role of focused immersion. Computers in Human Behavior, 79, 227-237.
]Search in Google Scholar
[
Zhang, J., Chen, N., Fu, G., Yan, M., & Kim, Y. C. (2016). The safety attitudes of senior managers in the Chinese coal industry. International journal of environmental research and public health, 13(11), 1147.
]Search in Google Scholar
[
Zwanka, R. J., & Buff, C. (2021). COVID-19 generation: A conceptual framework of the consumer behavioral shifts to be caused by the COVID-19 pandemic. Journal of International Consumer Marketing, 33(1), 58-67.
]Search in Google Scholar
[
Zhu, L., Li, H., Wang, F. K., He, W., & Tian, Z. (2020). How online reviews affect purchase intention: a new model based on the stimulus-organism-response (SOR) framework. Aslib Journal of Information Management, 72(4), 463-488.
]Search in Google Scholar
