Faktor-Faktor Yang Memengaruhi Trust Dalam Rekomendasi Collaborative Filltering Facebook Terhadap Purchase Intentions
Abstract
Social recommendation systems have gained increasing popularity. This study seeks to understand the influence of factors that influence trust on purchase intention in social recommendation systems. The method used is a correlational model using an online questionnaire and distributed to 201 Facebook Marketplace users. The findings validate that recommendation persuasiveness strongly predicts trust in recommendation, while perceived risk is inversely related to trust in recommendation. The authors underscore that Trust in Recommendation significantly shapes purchase intentions, highlighting the importance of recommendations and consumers' perception of associated Perceived Risk, both of which influence consumer attitudes. This research illustrates that consumers' trust in recommendations fully mediates the factors that influence their Purchase Intention.
Keywords: Perceived Risk, Social Recommender System, Trust in Recommendation, Purchase Intention, Recommendation Persuasiveness
References
Alalwan, A. A., Dwivedi, Y. K., Rana, N. P., & Algharabat, R. (2018). Examining factors influencing Jordanian customers’ intentions and adoption of internet banking: Extending UTAUT2 with risk. Journal of Retailing and Consumer Services, 40, 125–138. https://doi.org/https://doi.org/10.1016/j.jretconser.2017.08.026
Arazy, O., Kumar, N., & Shapira, B. (2010). A Theory-Driven Design Framework for Social Recommender Systems. J. AIS, 11. https://doi.org/10.17705/1jais.00237
Ary, D., Jacobs, L. C., Irvine, C. K. S., & Walker, D. (2018). Introduction to research in education. Cengage Learning.
Biswas, D., Biswas, A., & Das, N. (2006). The Differential Effects of Celebrity and Expert Endorsements on Consumer Risk Perceptions. The Role of Consumer Knowledge, Perceived Congruency, and Product Technology Orientation. Journal of Advertising, 35(2), 17–31. https://doi.org/10.1080/00913367.2006.10639231
Boerman, S. C., Willemsen, L. M., & Van Der Aa, E. P. (2017). “This Post is Sponsored” Effects of Sponsorship Disclosure on Persuasion Knowledge and Electronic Word of Mouth in the Context of Facebook. Journal of Interactive Marketing, 38(1), 82–92. https://doi.org/10.1016/j.intmar.2016.12.002
Capdevila, J., Arias, M., & Arratia, A. (2016). GeoSRS: A hybrid social recommender system for geolocated data. Information Systems, 57, 111–128.
Casaló, L. V, Flavián, C., & Ibáñez-Sánchez, S. (2020). Influencers on Instagram: Antecedents and consequences of opinion leadership. Journal of Business Research, 117, 510–519. https://doi.org/https://doi.org/10.1016/j.jbusres.2018.07.005
Chang, T.-S., & Hsiao, W.-H. (2013). Factors influencing intentions to use social recommender systems: A social exchange perspective. Cyberpsychology, Behavior, and Social Networking, 16(5), 357–363.
Chen, Y.-C., Shang, R.-A., & Kao, C. (2009). The effects of information overload on consumers’ subjective state towards buying decision in the internet shopping environment. Electronic Commerce Research and Applications, 48–58. https://doi.org/10.1016/j.elerap.2008.09.001
Cheung, M. Y., Luo, C., Sia, C. L., & Chen, H. (2009). Credibility of electronic word-of-mouth: Informational and normative determinants of on-line consumer recommendations. International Journal of Electronic Commerce, 13(4), 9–38.
Chin, W., & Marcoulides, G. (1998). The Partial Least Squares Approach to Structural Equation Modeling. Modern Methods for Business Research, 8.
Chiu, C.-M., Hsu, M.-H., Lai, H., & Chang, C.-M. (2012). Re-examining the influence of trust on online repeat purchase intention: The moderating role of habit and its antecedents. Decision Support Systems, 53(4), 835–845.
Choi, J., Lee, H. J., & Kim, Y. C. (2011). The influence of social presence on customer intention to reuse online recommender systems: The roles of personalization and product type. International Journal of Electronic Commerce, 16(1), 129–154.
Chopra, A., Avhad, V., & Jaju, and S. (2020). Influencer Marketing: An Exploratory Study to Identify Antecedents of Consumer Behavior of Millennial. Business Perspectives and Research, 9(1), 77–91. https://doi.org/10.1177/2278533720923486
Christensen, I. A., & Schiaffino, S. (2014). Social influence in group recommender systems. Online Information Review, 38(4), 524–542.
Cox, D. F., & Rich, S. U. (1964). Perceived Risk and Consumer Decision-Making—The Case of Telephone Shopping. Journal of Marketing Research, 1(4), 32–39. https://doi.org/10.1177/002224376400100405
Creswell, J. W. (2012). Educational research. pearson.
Damiani, E., Ceravolo, P., Frati, F., Bellandi, V., Maier, R., Seeber, I., & Waldhart, G. (2015). Applying recommender systems in collaboration environments. Computers in Human Behavior, 51, 1124–1133.
Deng, S., Huang, L., & Xu, G. (2014). Social network-based service recommendation with trust enhancement. Expert Systems with Applications, 41(18), 8075–8084.
Deshbhag, R. R., & Mohan, B. C. (2020). Study on influential role of celebrity credibility on consumer risk perceptions. Journal of Indian Business Research, 12(1), 79–92. https://doi.org/10.1108/JIBR-09-2019-0264
Evans, R. P., Bryant, L. D., Russell, G., & Absolom, K. (2024). Trust and acceptability of data-driven clinical recommendations in everyday practice: A scoping review. International Journal of Medical Informatics, 183, 105342. https://doi.org/https://doi.org/10.1016/j.ijmedinf.2024.105342
Fang, Y., Qureshi, I., Sun, H., McCole, P., Ramsey, E., & Lim, K. H. (2014). Trust, satisfaction, and online repurchase intention. MIS Quarterly, 38(2), 407-A9.
Filieri, R., & McLeay, F. (2015). Why do travelers trust TripAdvisor? Antecedents of trust towards consumer-generated media and its influence on recommendation adoption and word of mouth. Tourism Management, 51. https://doi.org/10.1016/j.tourman.2015.05.007
Forsythe, S. M., & Shi, B. (2003). Consumer patronage and risk perceptions in Internet shopping. Journal of Business Research, 56(11), 867–875. https://doi.org/https://doi.org/10.1016/S0148-2963(01)00273-9
Fraenkel, J., Wallen, N., & Hyun, H. (2011). How to Design and Evaluate Research in Education. In Journal of American Optometric Association (Vol. 60).
Gao, J., Zhang, C., Wang, K., & Ba, S. (2012). Understanding online purchase decision making: The effects of unconscious thought, information quality, and information quantity. Decision Support Systems, 53, 772–781. https://doi.org/10.1016/j.dss.2012.05.011
Gedikli, F., Jannach, D., & Ge, M. (2014). How should I explain? A comparison of different explanation types for recommender systems. International Journal of Human-Computer Studies, 72(4), 367–382.
Hair, J., Hollingsworth, C. L., Randolph, A. B., & Chong, A. Y. L. (2017). An updated and expanded assessment of PLS-SEM in information systems research. Industrial Management & Data Systems, 117(3), 442–458.
Hajli, N. (2015). Social commerce constructs and consumer’s intention to buy. International Journal of Information Management, 35(2), 183–191.
Hanaysha, J. R. (2022). Impact of social media marketing features on consumer’s purchase decision in the fast-food industry: Brand trust as a mediator. International Journal of Information Management Data Insights, 2(2), 100102. https://doi.org/https://doi.org/10.1016/j.jjimei.2022.100102
He, C., Parra, D., & Verbert, K. (2016). Interactive recommender systems: A survey of the state of the art and future research challenges and opportunities. Expert Systems with Applications, 56, 9–27.
Hsiao, K., Chuan‐Chuan Lin, J., Wang, X., Lu, H., & 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.
Huang, C.-L., Yeh, P.-H., Lin, C.-W., & Wu, D.-C. (2014). Utilizing user tag-based interests in recommender systems for social resource sharing websites. Knowledge-Based Systems, 56, 86–96.
Hudders, L., De Jans, S., & De Veirman, M. (2021). The commercialization of social media stars: a literature review and conceptual framework on the strategic use of social media influencers. International Journal of Advertising, 40(3), 327–375. https://doi.org/10.1080/02650487.2020.1836925
Johnson, J. W., & LeBreton, J. M. (2004). History and use of relative importance indices in organizational research. Organizational Research Methods, 7(3), 238–257.
Kim, D. J., Ferrin, D. L., & Rao, H. R. (2008). A trust-based consumer decision-making model in electronic commerce: The role of trust, perceived risk, and their antecedents. Decision Support Systems, 44(2), 544–564. https://doi.org/https://doi.org/10.1016/j.dss.2007.07.001
Kothari, C. R. (2004). Research methodology. new Age.
Ladhari, R., & Michaud, M. (2015). eWOM effects on hotel booking intentions, attitudes, trust, and website perceptions. International Journal of Hospitality Management, 46, 36–45.
Latan, H., & Ghozali, I. (2015). Partial Least Squares: Concepts, Techniques and Applications using SmartPLS 3.
Li, Y.-M., Chou, C.-L., & Lin, L.-F. (2014). A social recommender mechanism for location-based group commerce. Information Sciences, 274, 125–142.
Li, Y.-M., Liao, T.-F., & Lai, C.-Y. (2012). A social recommender mechanism for improving knowledge sharing in online forums. Information Processing & Management, 48(5), 978–994.
Li, Y.-M., Wu, C.-T., & Lai, C.-Y. (2013). A social recommender mechanism for e-commerce: Combining similarity, trust, and relationship. Decision Support Systems, 55, 740–752. https://doi.org/10.1016/j.dss.2013.02.009
Luo, C., Luo, X. R., Schatzberg, L., & Sia, C. L. (2013). Impact of informational factors on online recommendation credibility: The moderating role of source credibility. Decision Support Systems, 56, 92–102.
Martínez-López, F. J., Anaya-Sánchez, R., Esteban-Millat, I., Torrez-Meruvia, H., D’Alessandro, S., & Miles, M. (2020). Influencer marketing: brand control, commercial orientation and post credibility. Journal of Marketing Management, 36(17–18), 1805–1831. https://doi.org/10.1080/0267257X.2020.1806906
McCole, P., Ramsey, E., & Williams, J. (2010). Trust considerations on attitudes towards online purchasing: The moderating effect of privacy and security concerns. Journal of Business Research, 63(9–10), 1018–1024.
McKnight, D. H., Choudhury, V., & Kacmar, C. (2002). Developing and validating trust measures for e-commerce: An integrative typology. Information Systems Research, 13(3), 334–359.
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.
Podsakoff, P. M., MacKenzie, S. B., Lee, J.-Y., & Podsakoff, N. P. (2003). Common method biases in behavioral research: a critical review of the literature and recommended remedies. Journal of Applied Psychology, 88(5), 879.
Qiu, L., Pang, J., & Lim, K. (2012). Effects of conflicting aggregated rating on eWOM review credibility and diagnosticity: The moderating role of review valence. Decision Support Systems, 54, 631–643. https://doi.org/10.1016/j.dss.2012.08.020
See-To, E. W. K., & Ho, K. K. W. (2014). Value co-creation and purchase intention in social network sites: The role of electronic Word-of-Mouth and trust–A theoretical analysis. Computers in Human Behavior, 31, 182–189.
Seo, Y.-D., Kim, Y.-G., Lee, E., & Baik, D.-K. (2017). Personalized recommender system based on friendship strength in social network services. Expert Systems with Applications, 69, 135–148.
Silva, R., Sampaio, A., & Rodrigues, P. (2019). The Role of Digital Influencers on Buying Intention. In Marketing and Smart Technologies: Proceedings of ICMarkTech 2019 (pp. 137–145). Springer.
Singh, S., Singh, N., Kalinić, Z., & Liébana-Cabanillas, F. J. (2021). Assessing determinants influencing continued use of live streaming services: An extended perceived value theory of streaming addiction. Expert Systems with Applications, 168, 114241. https://doi.org/https://doi.org/10.1016/j.eswa.2020.114241
Stubb, C., Nyström, A.-G., & Colliander, J. (2019). Influencer marketing. Journal of Communication Management, 23(2), 109–122. https://doi.org/10.1108/JCOM-11-2018-0119
Sun, Z., Han, L., Huang, W., Wang, X., Zeng, X., Wang, M., & Yan, H. (2015). Recommender systems based on social networks. Journal of Systems and Software, 99, 109–119.
Tsiros, M., & Heilman, C. M. (2005). The Effect of Expiration Dates and Perceived Risk on Purchasing Behavior in Grocery Store Perishable Categories. Journal of Marketing, 69(2), 114–129. https://doi.org/10.1509/jmkg.69.2.114.60762
Wang, W., Qiu, L., Kim, D., & Benbasat, I. (2016). Effects of rational and social appeals of online recommendation agents on cognition-and affect-based trust. Decision Support Systems, 86, 48–60.
Wang, W., Zhang, G., & Lu, J. (2016). Member Contribution-Based Group Recommender System. Decis. Support Syst., 87(C), 80–93. https://doi.org/10.1016/j.dss.2016.05.002
Wassenaar, P. N. H., Minnema, J., Vriend, J., Peijnenburg, W. J. G. M., Pennings, J. L. A., & Kienhuis, A. (2024). The role of trust in the use of artificial intelligence for chemical risk assessment. Regulatory Toxicology and Pharmacology, 148, 105589. https://doi.org/https://doi.org/10.1016/j.yrtph.2024.105589
Yang, X. (2020). Influence of informational factors on purchase intention in social recommender systems. Online Information Review, 44(2), 417–431. https://doi.org/10.1108/OIR-12-2016-0360
Zheng, N., & Li, Q. (2011). A recommender system based on tag and time information for social tagging systems. Expert Systems with Applications, 38(4), 4575–4587.
Arazy, O., Kumar, N., & Shapira, B. (2010). A Theory-Driven Design Framework for Social Recommender Systems. J. AIS, 11. https://doi.org/10.17705/1jais.00237
Ary, D., Jacobs, L. C., Irvine, C. K. S., & Walker, D. (2018). Introduction to research in education. Cengage Learning.
Biswas, D., Biswas, A., & Das, N. (2006). The Differential Effects of Celebrity and Expert Endorsements on Consumer Risk Perceptions. The Role of Consumer Knowledge, Perceived Congruency, and Product Technology Orientation. Journal of Advertising, 35(2), 17–31. https://doi.org/10.1080/00913367.2006.10639231
Boerman, S. C., Willemsen, L. M., & Van Der Aa, E. P. (2017). “This Post is Sponsored” Effects of Sponsorship Disclosure on Persuasion Knowledge and Electronic Word of Mouth in the Context of Facebook. Journal of Interactive Marketing, 38(1), 82–92. https://doi.org/10.1016/j.intmar.2016.12.002
Capdevila, J., Arias, M., & Arratia, A. (2016). GeoSRS: A hybrid social recommender system for geolocated data. Information Systems, 57, 111–128.
Casaló, L. V, Flavián, C., & Ibáñez-Sánchez, S. (2020). Influencers on Instagram: Antecedents and consequences of opinion leadership. Journal of Business Research, 117, 510–519. https://doi.org/https://doi.org/10.1016/j.jbusres.2018.07.005
Chang, T.-S., & Hsiao, W.-H. (2013). Factors influencing intentions to use social recommender systems: A social exchange perspective. Cyberpsychology, Behavior, and Social Networking, 16(5), 357–363.
Chen, Y.-C., Shang, R.-A., & Kao, C. (2009). The effects of information overload on consumers’ subjective state towards buying decision in the internet shopping environment. Electronic Commerce Research and Applications, 48–58. https://doi.org/10.1016/j.elerap.2008.09.001
Cheung, M. Y., Luo, C., Sia, C. L., & Chen, H. (2009). Credibility of electronic word-of-mouth: Informational and normative determinants of on-line consumer recommendations. International Journal of Electronic Commerce, 13(4), 9–38.
Chin, W., & Marcoulides, G. (1998). The Partial Least Squares Approach to Structural Equation Modeling. Modern Methods for Business Research, 8.
Chiu, C.-M., Hsu, M.-H., Lai, H., & Chang, C.-M. (2012). Re-examining the influence of trust on online repeat purchase intention: The moderating role of habit and its antecedents. Decision Support Systems, 53(4), 835–845.
Choi, J., Lee, H. J., & Kim, Y. C. (2011). The influence of social presence on customer intention to reuse online recommender systems: The roles of personalization and product type. International Journal of Electronic Commerce, 16(1), 129–154.
Chopra, A., Avhad, V., & Jaju, and S. (2020). Influencer Marketing: An Exploratory Study to Identify Antecedents of Consumer Behavior of Millennial. Business Perspectives and Research, 9(1), 77–91. https://doi.org/10.1177/2278533720923486
Christensen, I. A., & Schiaffino, S. (2014). Social influence in group recommender systems. Online Information Review, 38(4), 524–542.
Cox, D. F., & Rich, S. U. (1964). Perceived Risk and Consumer Decision-Making—The Case of Telephone Shopping. Journal of Marketing Research, 1(4), 32–39. https://doi.org/10.1177/002224376400100405
Creswell, J. W. (2012). Educational research. pearson.
Damiani, E., Ceravolo, P., Frati, F., Bellandi, V., Maier, R., Seeber, I., & Waldhart, G. (2015). Applying recommender systems in collaboration environments. Computers in Human Behavior, 51, 1124–1133.
Deng, S., Huang, L., & Xu, G. (2014). Social network-based service recommendation with trust enhancement. Expert Systems with Applications, 41(18), 8075–8084.
Deshbhag, R. R., & Mohan, B. C. (2020). Study on influential role of celebrity credibility on consumer risk perceptions. Journal of Indian Business Research, 12(1), 79–92. https://doi.org/10.1108/JIBR-09-2019-0264
Evans, R. P., Bryant, L. D., Russell, G., & Absolom, K. (2024). Trust and acceptability of data-driven clinical recommendations in everyday practice: A scoping review. International Journal of Medical Informatics, 183, 105342. https://doi.org/https://doi.org/10.1016/j.ijmedinf.2024.105342
Fang, Y., Qureshi, I., Sun, H., McCole, P., Ramsey, E., & Lim, K. H. (2014). Trust, satisfaction, and online repurchase intention. MIS Quarterly, 38(2), 407-A9.
Filieri, R., & McLeay, F. (2015). Why do travelers trust TripAdvisor? Antecedents of trust towards consumer-generated media and its influence on recommendation adoption and word of mouth. Tourism Management, 51. https://doi.org/10.1016/j.tourman.2015.05.007
Forsythe, S. M., & Shi, B. (2003). Consumer patronage and risk perceptions in Internet shopping. Journal of Business Research, 56(11), 867–875. https://doi.org/https://doi.org/10.1016/S0148-2963(01)00273-9
Fraenkel, J., Wallen, N., & Hyun, H. (2011). How to Design and Evaluate Research in Education. In Journal of American Optometric Association (Vol. 60).
Gao, J., Zhang, C., Wang, K., & Ba, S. (2012). Understanding online purchase decision making: The effects of unconscious thought, information quality, and information quantity. Decision Support Systems, 53, 772–781. https://doi.org/10.1016/j.dss.2012.05.011
Gedikli, F., Jannach, D., & Ge, M. (2014). How should I explain? A comparison of different explanation types for recommender systems. International Journal of Human-Computer Studies, 72(4), 367–382.
Hair, J., Hollingsworth, C. L., Randolph, A. B., & Chong, A. Y. L. (2017). An updated and expanded assessment of PLS-SEM in information systems research. Industrial Management & Data Systems, 117(3), 442–458.
Hajli, N. (2015). Social commerce constructs and consumer’s intention to buy. International Journal of Information Management, 35(2), 183–191.
Hanaysha, J. R. (2022). Impact of social media marketing features on consumer’s purchase decision in the fast-food industry: Brand trust as a mediator. International Journal of Information Management Data Insights, 2(2), 100102. https://doi.org/https://doi.org/10.1016/j.jjimei.2022.100102
He, C., Parra, D., & Verbert, K. (2016). Interactive recommender systems: A survey of the state of the art and future research challenges and opportunities. Expert Systems with Applications, 56, 9–27.
Hsiao, K., Chuan‐Chuan Lin, J., Wang, X., Lu, H., & 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.
Huang, C.-L., Yeh, P.-H., Lin, C.-W., & Wu, D.-C. (2014). Utilizing user tag-based interests in recommender systems for social resource sharing websites. Knowledge-Based Systems, 56, 86–96.
Hudders, L., De Jans, S., & De Veirman, M. (2021). The commercialization of social media stars: a literature review and conceptual framework on the strategic use of social media influencers. International Journal of Advertising, 40(3), 327–375. https://doi.org/10.1080/02650487.2020.1836925
Johnson, J. W., & LeBreton, J. M. (2004). History and use of relative importance indices in organizational research. Organizational Research Methods, 7(3), 238–257.
Kim, D. J., Ferrin, D. L., & Rao, H. R. (2008). A trust-based consumer decision-making model in electronic commerce: The role of trust, perceived risk, and their antecedents. Decision Support Systems, 44(2), 544–564. https://doi.org/https://doi.org/10.1016/j.dss.2007.07.001
Kothari, C. R. (2004). Research methodology. new Age.
Ladhari, R., & Michaud, M. (2015). eWOM effects on hotel booking intentions, attitudes, trust, and website perceptions. International Journal of Hospitality Management, 46, 36–45.
Latan, H., & Ghozali, I. (2015). Partial Least Squares: Concepts, Techniques and Applications using SmartPLS 3.
Li, Y.-M., Chou, C.-L., & Lin, L.-F. (2014). A social recommender mechanism for location-based group commerce. Information Sciences, 274, 125–142.
Li, Y.-M., Liao, T.-F., & Lai, C.-Y. (2012). A social recommender mechanism for improving knowledge sharing in online forums. Information Processing & Management, 48(5), 978–994.
Li, Y.-M., Wu, C.-T., & Lai, C.-Y. (2013). A social recommender mechanism for e-commerce: Combining similarity, trust, and relationship. Decision Support Systems, 55, 740–752. https://doi.org/10.1016/j.dss.2013.02.009
Luo, C., Luo, X. R., Schatzberg, L., & Sia, C. L. (2013). Impact of informational factors on online recommendation credibility: The moderating role of source credibility. Decision Support Systems, 56, 92–102.
Martínez-López, F. J., Anaya-Sánchez, R., Esteban-Millat, I., Torrez-Meruvia, H., D’Alessandro, S., & Miles, M. (2020). Influencer marketing: brand control, commercial orientation and post credibility. Journal of Marketing Management, 36(17–18), 1805–1831. https://doi.org/10.1080/0267257X.2020.1806906
McCole, P., Ramsey, E., & Williams, J. (2010). Trust considerations on attitudes towards online purchasing: The moderating effect of privacy and security concerns. Journal of Business Research, 63(9–10), 1018–1024.
McKnight, D. H., Choudhury, V., & Kacmar, C. (2002). Developing and validating trust measures for e-commerce: An integrative typology. Information Systems Research, 13(3), 334–359.
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.
Podsakoff, P. M., MacKenzie, S. B., Lee, J.-Y., & Podsakoff, N. P. (2003). Common method biases in behavioral research: a critical review of the literature and recommended remedies. Journal of Applied Psychology, 88(5), 879.
Qiu, L., Pang, J., & Lim, K. (2012). Effects of conflicting aggregated rating on eWOM review credibility and diagnosticity: The moderating role of review valence. Decision Support Systems, 54, 631–643. https://doi.org/10.1016/j.dss.2012.08.020
See-To, E. W. K., & Ho, K. K. W. (2014). Value co-creation and purchase intention in social network sites: The role of electronic Word-of-Mouth and trust–A theoretical analysis. Computers in Human Behavior, 31, 182–189.
Seo, Y.-D., Kim, Y.-G., Lee, E., & Baik, D.-K. (2017). Personalized recommender system based on friendship strength in social network services. Expert Systems with Applications, 69, 135–148.
Silva, R., Sampaio, A., & Rodrigues, P. (2019). The Role of Digital Influencers on Buying Intention. In Marketing and Smart Technologies: Proceedings of ICMarkTech 2019 (pp. 137–145). Springer.
Singh, S., Singh, N., Kalinić, Z., & Liébana-Cabanillas, F. J. (2021). Assessing determinants influencing continued use of live streaming services: An extended perceived value theory of streaming addiction. Expert Systems with Applications, 168, 114241. https://doi.org/https://doi.org/10.1016/j.eswa.2020.114241
Stubb, C., Nyström, A.-G., & Colliander, J. (2019). Influencer marketing. Journal of Communication Management, 23(2), 109–122. https://doi.org/10.1108/JCOM-11-2018-0119
Sun, Z., Han, L., Huang, W., Wang, X., Zeng, X., Wang, M., & Yan, H. (2015). Recommender systems based on social networks. Journal of Systems and Software, 99, 109–119.
Tsiros, M., & Heilman, C. M. (2005). The Effect of Expiration Dates and Perceived Risk on Purchasing Behavior in Grocery Store Perishable Categories. Journal of Marketing, 69(2), 114–129. https://doi.org/10.1509/jmkg.69.2.114.60762
Wang, W., Qiu, L., Kim, D., & Benbasat, I. (2016). Effects of rational and social appeals of online recommendation agents on cognition-and affect-based trust. Decision Support Systems, 86, 48–60.
Wang, W., Zhang, G., & Lu, J. (2016). Member Contribution-Based Group Recommender System. Decis. Support Syst., 87(C), 80–93. https://doi.org/10.1016/j.dss.2016.05.002
Wassenaar, P. N. H., Minnema, J., Vriend, J., Peijnenburg, W. J. G. M., Pennings, J. L. A., & Kienhuis, A. (2024). The role of trust in the use of artificial intelligence for chemical risk assessment. Regulatory Toxicology and Pharmacology, 148, 105589. https://doi.org/https://doi.org/10.1016/j.yrtph.2024.105589
Yang, X. (2020). Influence of informational factors on purchase intention in social recommender systems. Online Information Review, 44(2), 417–431. https://doi.org/10.1108/OIR-12-2016-0360
Zheng, N., & Li, Q. (2011). A recommender system based on tag and time information for social tagging systems. Expert Systems with Applications, 38(4), 4575–4587.
Published
2024-04-08
Section
Articles
Copyright (c) 2024 Gerardus Ananta Banyu
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
