The usage of group buying apps in mobile commerce marketing has experienced a significant increase on a global scale. Many enterprises recognize these apps' economic value and social benefits and consider them a crucial channel for online marketing and brand-building. Consequently, investigating consumers' purchase intention on group buying apps has arisen as a crucial aspect of the study aimed at promoting the advancement of online marketing. This study investigates the correlation between perceived value and purchase intention by integrating the Cognition-Affection-Conation (CAC) model and perceived value theory. Furthermore, it tests the mediating impact of customer engagement and the moderating influence of collective efficacy. This study collected data from 420 Chinese Millennials through purposive sampling, and the proposed framework underwent assessment through the application of partial least squares structural equation modeling (PLS-SEM). The results of the analysis yielded three significant findings. Except for adventure, perceived values and customer engagement have positively impacted the group-buying app's purchase intention. Secondly, the results demonstrated that the connection between perceived values and purchase intention was mediated by customer engagement. Most relationships between perceived values and customer engagement were supported, except for monetary value, and customer engagement exhibited the most decisive influence. Thirdly, the moderation analysis revealed that collective efficacy positively influenced the proposed relationships. The current study has identified a previously overlooked connection in the existing literature by demonstrating the mediating effect of customer engagement in linking perceived value and purchase intention, while highlighting the significance of collective efficacy as a moderating factor. This study provides pertinent insights for stakeholders regarding users' expectations of a specific OGB app. Firstly, to appeal to potential purchasers, OGB merchants should offer many benefits associated with OGB shopping. Secondly, to effectively interact with mobile shoppers belonging to the Millennial generation and ultimately encourage them to make purchases on an OGB app, it is recommended that retailers enhance their engagement strategies. Lastly, the platform should provide tools or channels to facilitate community communication and uphold users' collective efficacy beliefs, and it will facilitate group formation.
Abou-Shouk, M., Soliman, M. (2021). The impact of gamification adoption intention on brand awareness and loyalty in tourism: The mediating effect of customer engagement. J. Destin. Mark. Manag. 20, 100559. https://doi.org/10.1016/j.jdmm.2021.100559
Ajzen, I. (1991). The theory of planned behavior. Organ. Behav. Hum. Decis. Process. 50, 179–211. https://doi.org/10.1016/0749-5978(91)90020-t
Alavi, S.B., McCormick, J. (2018). Why is my team capable? A study of some antecedents of team members' personal, collective efficacy beliefs. Educ. Psychol. 38, 1147–1162. https://doi.org/10.1080/01443410.2018.1500680
Algharabat, R., Rana, N.P., Alalwan, A. A., Baabdullah, A., Gupta, A. (2020). Investigating the antecedents of customer brand engagement and consumer-based brand equity in social media. J. Retail. Consum. Serv. 53, 101767. https://doi.org/10.1016/j.jretconser.2019.01.016
Anand, K. S., Aron, R. (2003). Group Buying on the Web: A Comparison of Price-Discovery Mechanisms. Manag. Sci. 49, 1546–1562. https://doi.org/10.1287/mnsc.49.11.1546.20582
Arnold, M. J., Reynolds, K. E. (2003). Hedonic shopping motivations. J. Retail. 79, 77–95. https://doi.org/10.1016/S0022-4359(03)00007-1
Arslanagic-Kalajdzic, M., Kadic-Maglajlic, S., Dlacic, J., Zabkar, V. (2022). “We Go Together”: Understanding social cause-related purchase intentions of young adults. J. Bus. Res. 140, 130–142. https://doi.org/10.1016/j.jbusres.2021.10.072
Awuor, N. O., Weng, C., Piedad, E. J., Militar, R. (2022). Teamwork competency and satisfaction in online group project-based engineering course: The cross-level moderating effect of collective efficacy and flipped instruction. Comput. Educ. 176, 104357. https://doi.org/10.1016/j.compedu.2021.104357
Babin, B. J., Babin, L. (2001). Seeking something different? A model of schema typicality, consumer affect, purchase intentions and perceived shopping value. J. Bus. Res. 54, 89–96. https://doi.org/10.1016/S0148-2963(99)00095-8
Babin, B. J., Darden, W. R., Griffin, M. (1994). Work and/or Fun: Measuring Hedonic and Utilitarian Shopping Value. J. Consum. Res. 20, 644. https://doi.org/10.1086/209376
Bagozzi, R. P., Yi, Y., Phillips, L. W. (1991). Assessing Construct Validity in Organizational Research. Adm. Sci. Q. 36, 421. https://doi.org/10.2307/2393203
Baker, J. J., Kearney, T., Laud, G., Holmlund, M. (2021). Engaging users in the sharing economy: individual and collective psychological ownership as antecedents to actor engagement. J. Serv. Manag. 32, 483–506. https://doi.org/10.1108/JOSM-08-2020-0300
Baker-Eveleth, L., Stone, R. W. (2020). User’s perceptions of perceived usefulness, satisfaction, and intentions of mobile application.
Bandura, A. (2000). Exercise of human agency through collective efficacy. Current Directions in Psychological Science.
Bandura, A. (1986). Social Foundations of thought and action, in: A Social Cognitive Theory. Prentice-Hall, Englewood Cliffs, NJ.
Bauer, H. H., Sauer, N. E., Becker, C. (2006). Investigating the relationship between product involvement and consumer decision?making styles. J. Consum. Behav. 5, 342–354. https://doi.org/10.1002/cb.185
Becker, J.-M., Ringle, C. M., Sarstedt, M. (2018). ESTIMATING MODERATING EFFECTS IN PLS-SEM AND PLSc-SEM: INTERACTION TERM GENERATION*DATA TREATMENT. J. Appl. Struct. Equ. Model. 2, 1–21. https://doi.org/10.47263/JASEM.2(2)01
Brodie, R. J., Hollebeek, L. D., Juri?, B., Ili?, A. (2011). Customer Engagement: Conceptual Domain, Fundamental Propositions, and Implications for Research. J. Serv. Res. 14, 252–271. https://doi.org/10.1177/1094670511411703
Brodie, R. J., Ilic, A., Juric, B., Hollebeek, L. (2013). Consumer engagement in a virtual brand community: An exploratory analysis. J. Bus. Res. 66, 105–114. https://doi.org/10.1016/j.jbusres.2011.07.029
CECRC. (2017). China group-buying data monitoring report of 2017 (first half year).
Cheah, J.-H., Ting, H., Ramayah, T., Memon, M. A., Cham, T.-H., Ciavolino, E. (2019). A comparison of five reflective–formative estimation approaches: reconsideration and recommendations for tourism research. Qual. Quant. 53, 1421–1458. https://doi.org/10.1007/s11135-018-0821-7
Chen, H., Peng, J., Guan, M., Li, J. (2023). Social Group Buying as a Marketing Strategy 4401–4410.
Chiu, Y. -L., Chen, L. -J., Du, J., Hsu, Y. -T. (2018). Studying the relationship between the perceived value of online group-buying websites and customer loyalty: the moderating role of referral rewards. J. Bus. Ind. Mark. 33, 665–679. https://doi.org/10.1108/JBIM-03-2017-0083
Choi, S. (2016). The Influence of Scarcity Message on Customers’ Perceived Value, Satisfaction, and Repurchase Intention in the Context of Group-Buying Social Commerce 23, 97–117. https://doi.org/10.21219/jitam.2016.23.1.097
Cohen, J. (1988). Statistical power analysis for the behavioral sciences, 2nd ed. Hillsdale, NJ: Erlbaum.
Cox, D. F., Rich, S. U. (1964). Perceived Risk and Consumer Decision-Making—The Case of Telephone Shopping.
Davis, F. D. (1989). Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology. MIS Q. 13, 319. https://doi.org/10.2307/249008
Denkta?-?akar, G., Sürücü, E. (2020). Stakeholder engagement via social media: an analysis of third-party logistics companies. Serv. Ind. J. 40, 866–889. https://doi.org/10.1080/02642069.2018.1561874
Essiz, O., Mandrik, C. (2021). Intergenerational influence on sustainable consumer attitudes and behaviors: Roles of family communication and peer influence in environmental consumer socialization. Psychol. Mark. https://doi.org/10.1002/mar.21540
Fishbein, M. (1979). A theory of reasoned action: Some applications and implications. Nebraska Symposium on Motivation.
Forsythe, S., Liu, C., Shannon, D. M., Gardner, L. C. (2006). Development of a scale to measure the perceived benefits and risks of online shopping. J. Interact. Mark. 20, 55–75. https://doi.org/10.1002/dir.20061
Hair, J. F., Risher, J. J., Sarstedt, M., Ringle, C. M. (2019a). When to use and how to report the results of PLS-SEM. Eur. Bus. Rev. 31, 2–24. https://doi.org/10.1108/EBR-11-2018-0203
Hair, J. F., Risher, J. J., Sarstedt, M., Ringle, C. M. (2019b). When to use and how to report the results of PLS-SEM. Eur. Bus. Rev. 31, 2–24. https://doi.org/10.1108/EBR-11-2018-0203
Hilgard, E. R. (1980). The trilogy of mind: cognition, affection, and conation. J. Hist. Behav. Sci. 16, 107–117. https://doi.org/10.1002/1520-6696(198004)16:2<107::aid-jhbs2300160202>3.0.co;2-y
Hirschman, E. C. (1984). Experience seeking: A subjectivist perspective of consumption. J. Bus. Res. 12, 115–136. https://doi.org/10.1016/0148-2963(84)90042-0
Holbrook, M.B. (1999). Consumer value: a framework for analysis and research. Psychology Press.
Hollebeek, L. D., Srivastava, R. K., Chen, T. (2019). S-D logic–informed customer engagement: integrative framework, revised fundamental propositions, and application to CRM. J. Acad. Mark. Sci. 47, 161–185. https://doi.org/10.1007/s11747-016-0494-5
Hossain, M. A., Akter, S., Rahman, S. (2021). Customer behavior of online group buying: an investigation using the transaction cost economics theory perspective. Electron. Mark. 32, 1447–1461. https://doi.org/10.1007/s12525-021-00479-y
Hulland, J. (1999). Use of partial least squares (PLS) in strategic management research: a review of four recent studies. Strateg. Manag. J. 20, 195–204. https://doi.org/10.1002/(SICI)1097-0266(199902)20:2<195::AID-SMJ13>3.0.CO;2-7
Illia, L., Bonaiuto, M., Pugliese, E., Van Rekom, J. (2011). Managing membership threats through collective efficacy. J. Bus. Res. 64, 631–639. https://doi.org/10.1016/j.jbusres.2010.06.003
Itani, O. S., El Haddad, R., Kalra, A. (2020). Exploring the role of extrovert-introvert customers’ personality prototype as a driver of customer engagement: Does relationship duration matter? J. Retail. Consum. Serv. 53. https://doi.org/10.1016/j.jretconser.2019.101980
Itani, O. S. Kassar, A. -N., Loureiro, S. M. C. (2019). Value get, value give: The relationships among perceived value, relationship quality, customer engagement, and value consciousness. Int. J. Hosp. Manag. 80, 78–90. https://doi.org/10.1016/j.ijhm.2019.01.014
Jacoby, J., Kaplan, L. B., (1972). The components of perceived risk ACR special volumes.
Jung, D. I., Sosik, J. J. (2002). Transformational Leadership in Work Groups: The Role of Empowerment, Cohesiveness, and Collective-Efficacy on Perceived Group Performance. Small Group Res. 33, 313–336. https://doi.org/10.1177/10496402033003002
Kim, H.-W., Chan, H. C., Gupta, S., (2007). Value-based Adoption of Mobile Internet: An empirical investigation. Decis. Support Syst. https://doi.org/10.1016/j.dss.2005.05.009
Kim, S., Park, H. (2013). Effects of various characteristics of social commerce (s-commerce) on consumers’ trust and trust performance. Int. J. Inf. Manag. 33, 318–332. https://doi.org/10.1016/j.ijinfomgt.2012.11.006
Kim, S.-B., Sun, K.-A., Kim, D.-Y. (2013). The Influence of Consumer Value-Based Factors on Attitude-Behavioral Intention in Social Commerce: The Differences between High- and Low-Technology Experience Groups. J. Travel Tour. Mark. 30, 108–125. https://doi.org/10.1080/10548408.2013.751249
Kim, Y. H., Kim, D. J., Wachter, K. (2013). A study of mobile user engagement (MoEN): Engagement motivations, perceived value, satisfaction, and continued engagement intention. Decis. Support Syst. 56, 361–370. https://doi.org/10.1016/j.dss.2013.07.002
Klein, A., Sharma, V. M. (2022a). Consumer decision-making styles, involvement, and the intention to participate in online group buying. J. Retail. Consum. Serv. 64, 102808. https://doi.org/10.1016/j.jretconser.2021.102808
Klein, A., Sharma, V. M., (2022b). Consumer decision-making styles, involvement, and the intention to participate in online group buying. J. Retail. Consum. Serv. 64, 102808. https://doi.org/10.1016/j.jretconser.2021.102808
Klein, A., Sharma, V. M. (2022c). Consumer decision-making styles, involvement, and the intention to participate in online group buying. J. Retail. Consum. Serv. 64, 102808. https://doi.org/10.1016/j.jretconser.2021.102808
Kock, N., Lynn, G. S. (2012). Lateral Collinearity and Misleading Results in Variance-Based SEM: An Illustration and Recommendations. J. Assoc. Inf. Syst. 13, 2. https://doi.org/10.17705/1jais.00302
Kotler, P. (2003). Marketing Management, 11th ed. Prentice?Hall, Englewood Cliffs, NJ.
Kumar, S., Yadav, R. (2021). The impact of shopping motivation on sustainable consumption: A study in the context of green apparel. J. Clean. Prod. 295, 126239. https://doi.org/10.1016/j.jclepro.2021.126239
Kumar, V., Rajan, B. (2012). Social coupons as a marketing strategy: a multifaceted perspective. J. Acad. Mark. Sci. 40, 120–136. https://doi.org/10.1007/s11747-011-0283-0
Lau, E. K. W. (2011). Adoption of Online Group Buying. Eur. J. Manag. 11, 54–60.
Lee, M.-Y., Kim, Y.-K., Lee, H.-J. (2013). Adventure versus gratification: emotional shopping in online auctions. Eur. J. Mark. 47, 49–70. https://doi.org/10.1108/03090561311285457
Lent, R. W., Schmidt, J., Schmidt, L. (2006). Collective efficacy beliefs in student work teams: Relation to self-efficacy, cohesion, and performance. J. Vocat. Behav. 68, 73–84. https://doi.org/10.1016/j.jvb.2005.04.001
Li, J., Li, B., Shen, Y., Tang, K. (2022). Study on the steady state of the propagation model of consumers’ perceived service quality in the community group-buying. J. Retail. Consum. Serv. 65. https://doi.org/10.1016/j.jretconser.2021.102882
Lim, S. H., Kim, D. J. (2020). Does Emotional Intelligence of Online Shoppers Affect Their Shopping Behavior? From a Cognitive-Affective-Conative Framework Perspective. Int. J. Human–Computer Interact. 36, 1304–1313. https://doi.org/10.1080/10447318.2020.1739882
Lim, W. M. (2020). An equity theory perspective of online group buying. J. Retail. Consum. Serv. 54, 101729. https://doi.org/10.1016/j.jretconser.2018.12.013
Lim, W. M., Ahmed, P. K., Ali, M. Y. (2022). Giving electronic word of mouth (eWOM) as a prepurchase behavior: The case of online group buying. J. Bus. Res. 146, 582–604. https://doi.org/10.1016/j.jbusres.2022.03.093
Lim, X.-J., Cheah, J.-H., Ng, S. I., Basha, N. K., Soutar, G. (2021a). The effects of anthropomorphism presence and the marketing mix have on retail app continuance use intention. Technol. Forecast. Soc. Change 168, 120763. https://doi.org/10.1016/j.techfore.2021.120763
Lim, X.-J., Cheah, J.-H., Ng, S.I., Basha, N.K., Soutar, G. (2021b). The effects of anthropomorphism presence and the marketing mix have on retail app continuance use intention. Technol. Forecast. Soc. Change 168. https://doi.org/10.1016/j.techfore.2021.120763
Lim, X.-J., Cheah, J.-H., Waller, D.S., Ting, H., Ng, S. I. (2019). What s-commerce implies? Repurchase intention and its antecedents. Mark. Intell. Plan. 38, 760–776. https://doi.org/10.1108/mip-03-2019-0145
Lin, S.-C., Tseng, H.-T., Shirazi, F. (2022). Consumer decision journey for online group buying: psychological and intentional procedure perspectives. Br. Food J. 124, 4387–4405. https://doi.org/10.1108/bfj-12-2021-1277
Lu, B., Yan, L., Chen, Z. (2022). Perceived values, platform attachment and repurchase intention in on-demand service platforms: A cognition-affection-conation perspective. J. Retail. Consum. Serv. 67. https://doi.org/10.1016/j.jretconser.2022.103024
Maduku, D. K., Thusi, P. (2023). Understanding consumers’ mobile shopping continuance intention: New perspectives from South Africa. J. Retail. Consum. Serv. 70. https://doi.org/10.1016/j.jretconser.2022.103185
Marriott, H. R., Williams, M .D. (2018). Exploring consumers perceived risk and trust for mobile shopping: A theoretical framework and empirical study. J. Retail. Consum. Serv. 42, 133–146. https://doi.org/10.1016/j.jretconser.2018.01.017
McGuire, W. (1974). Psychological motives and communication gratification, in: The Uses of Mass Communications: Current Perspectives on Gratification Research. Sage, Beverly Hills, CA, USA, pp. 167–196.
Mehrabian, A, Russell, J. A. (1973). A measure of arousal seeking tendency. Environment and Behavior.
Meyer-Waarden, L., Bruwer, J., Galan, J.-P. (2023). Loyalty programs, loyalty engagement and customer engagement with the company brand: Consumer-centric behavioral psychology insights from three industries. J. Retail. Consum. Serv. 71, 103212. https://doi.org/10.1016/j.jretconser.2022.103212
Mohd Said, R., Sulaiman, M., Nik Ahmad, N. N. (2013). Do fund managers perceive environmental information useful? An empirical study from Malaysia. J. Clean. Prod. 52, 281–288. https://doi.org/10.1016/j.jclepro.2013.02.038
Niwonin. (2020). Community group buying in China is meant to stay.
Obilo, O. O., Chefor, E., Saleh, A. (2021). Revisiting the consumer brand engagement concept. J. Bus. Res. 126, 634–643. https://doi.org/10.1016/j.jbusres.2019.12.023
Oliver, R. L. (1999). Whence Consumer Loyalty?
Parsons, A. G. (2002). Non?functional motives for online shoppers: why we click. J. Consum. Mark. 19, 380–392. https://doi.org/10.1108/07363760210437614
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. Annu. Rev. Psychol. 63, 539–569. https://doi.org/10.1146/annurev-psych-120710-100452
Preacher, K. J., Hayes, A. F. (2008). Asymptotic and resampling strategies for assessing and comparing indirect effects in multiple mediator models. Behav. Res. Methods 40, 879–891. https://doi.org/10.3758/BRM.40.3.879
Qin, H., Osatuyi, B., Xu, L. (2021a). How mobile augmented reality applications affect continuous use and purchase intentions: A cognition-affect-conation perspective. J. Retail. Consum. Serv. 63, 102680. https://doi.org/10.1016/j.jretconser.2021.102680
Qin, H., Peak, D. A., Prybutok, V. (2021b). A virtual market in your pocket: How does mobile augmented reality (MAR) influence consumer decision making? J. Retail. Consum. Serv. 58, 102337. https://doi.org/10.1016/j.jretconser.2020.102337
Qin, H., Peak, D. A., Prybutok, V. (2021c). A virtual market in your pocket: How does mobile augmented reality (MAR) influence consumer decision making? J. Retail. Consum. Serv. 58. https://doi.org/10.1016/j.jretconser.2020.102337
Rahman, M. S., Bag, S., Hossain, M. A., Abdel Fattah, F. A. M., Gani, M. O., Rana, N. P. (2023). The new wave of AI-powered luxury brands online shopping experience: The role of digital multisensory cues and customers’ engagement. J. Retail. Consum. Serv. 72, 103273. https://doi.org/10.1016/j.jretconser.2023.103273
Roy, S. K., Singh, G., Sadeque, S., Harrigan, P., Coussement, K. (2023). Customer engagement with digitalized interactive platforms in retailing. J. Bus. Res. 164, 114001. https://doi.org/10.1016/j.jbusres.2023.114001
Sarstedt, M., Cheah, J.-H. (2019). Partial least squares structural equation modeling using SmartPLS: a software review. J. Mark. Anal. 7, 196–202. https://doi.org/10.1057/s41270-019-00058-3
Sharma, V. M., Klein, A. (2020). Consumer perceived value, involvement, trust, susceptibility to interpersonal influence, and intention to participate in online group buying. J. Retail. Consum. Serv. 52, 101946. https://doi.org/10.1016/j.jretconser.2019.101946
Sheth, J. N., Newman, B. I., Gross, B. L. (1991). Why we buy what we buy: A theory of consumption values. J. Bus. Res. 22, 159–170. https://doi.org/10.1016/0148-2963(91)90050-8
Shirazi, F., Hajli, N., Sims, J., Lemke, F. (2022). The role of social factors in purchase journey in the social commerce era. Technol. Forecast. Soc. Change 183, 121861. https://doi.org/10.1016/j.techfore.2022.121861
Sohaib, M., Han, H. (2023). Building value co-creation with social media marketing, brand trust, and brand loyalty. J. Retail. Consum. Serv. 74, 103442. https://doi.org/10.1016/j.jretconser.2023.103442
Statista (2022). Market size of community group buying industry in China 2018-2021.
Stone, M. (1974). Cross-validation and multinomial prediction.
Sweeney, J. C., Soutar, G. N. (2001). Consumer perceived value: The development of a multiple item scale. J. Retail. 77, 203–220. https://doi.org/10.1016/S0022-4359(01)00041-0
Tarute, A., Nikou, S., Gatautis, R. (2017). Mobile application driven consumer engagement. Telemat. Inform. 34, 145–156. https://doi.org/10.1016/j.tele.2017.01.006
Tong, X. (2010). A cross?national investigation of an extended technology acceptance model in the online shopping context. Int. J. Retail Distrib. Manag. 38, 742–759. https://doi.org/10.1108/09590551011076524
Touni, R., Kim, W. G., Haldorai, K., Rady, A. (2022). Customer engagement and hotel booking intention: The mediating and moderating roles of customer-perceived value and brand reputation. Int. J. Hosp. Manag. 104, 103246. https://doi.org/10.1016/j.ijhm.2022.103246
Tsuchiya, H., Fu, Y.-M., Huang, S. C.-T. (2022). Customer value, purchase intentions and willingness to pay: the moderating effects of cultural/economic distance. Asia Pac. J. Mark. Logist. 34, 268–286. https://doi.org/10.1108/APJML-12-2019-0743
Vivek, S. D., Beatty, S. E., Morgan, R. M. (2014). Customer Engagement: Exploring Customer Relationships Beyond Purchase. J. Mark. Theory Pract. 20, 122–146. https://doi.org/10.2753/mtp1069-6679200201
Wang, S., Cheah, J. -H., Lim, X.-J., Leong, Y. C., Choo, W. C. (2022). Thanks COVID-19, I’ll reconsider my purchase: Can fear appeal reduce online shopping cart abandonment? J. Retail. Consum. Serv. 64. https://doi.org/10.1016/j.jretconser.2021.102843
Wang, S. -L., Lin, S. S. J. (2007). The effects of group composition of self-efficacy and collective efficacy on computer-supported collaborative learning. Comput. Hum. Behav. 23, 2256–2268. https://doi.org/10.1016/j.chb.2006.03.005
Wang, X., Yu, C., Yujie Wei, Wei, Y. (2012). Social Media Peer Communication and Impacts on Purchase Intentions: A Consumer Socialization Framework. J. Interact. Mark. 26, 198–208. https://doi.org/10.1016/j.intmar.2011.11.004
Woratschek, H., Horbel, C., Popp, B. (2020). Determining customer satisfaction and loyalty from a value co-creation perspective. Serv. Ind. J. 40, 777–799. https://doi.org/10.1080/02642069.2019.1606213
Wu, G., Liu, J. (2023). Extending Procedural Justice Theory to the Chinese Context: The Role of Collective Efficacy. Br. J. Criminol. 63, 40–58. https://doi.org/10.1093/bjc/azab115
Wu, W., Lu, H., Wu, Y., Fu, C. (2012). The effects of product scarcity and consumers’ need for uniqueness on purchase intention. Int. J. Consum. Stud. 36, 263–274. https://doi.org/10.1111/j.1470-6431.2011.01000.x
Yang, S., Isa, S. M., Yao, Y., Xia, J., Liu, D. (2022). Cognitive image, affective image, cultural dimensions, and conative image: A new conceptual framework. Front Psychol 13, 935814. https://doi.org/10.3389/fpsyg.2022.935814
Yu, J., Lee, H., Ha, I., Zo, H. (2017). User acceptance of media tablets: An empirical examination of perceived value. Telemat. Inform. 34, 206–223. https://doi.org/10.1016/j.tele.2015.11.004
Yuan, R., Liu, M. J., Blut, M. (2022). What’s in it for you? Examining the roles of consumption values and Thaler’s acquisition–transaction utility theory in Chinese consumers’ green purchase intentions. Eur. J. Mark. 56, 1065–1107. https://doi.org/10.1108/EJM-08-2020-0609
Zeithaml, V. A. (1988). Consumer Perceptions of Price, Quality, and Value: A Means-End Model and Synthesis of Evidence. https://doi.org/10.1177/002224298805200302
Zhang, W., Sun, L., Wang, X., Wu, A. (2022). The influence of AI word?of?mouth system on consumers' purchase behavior: The mediating effect of risk perception. Syst. Res. Behav. Sci. 39, 516–530. https://doi.org/10.1002/sres.2871
Zhang, Y., Wang, S. (2023). The influence of anthropomorphic appearance of artificial intelligence products on consumer behavior and brand evaluation under different product types. J. Retail. Consum. Serv. 74, 103432. https://doi.org/10.1016/j.jretconser.2023.103432
Zheng, R., Li, Z., Na, S. (2022). How customer engagement in the live-streaming affects purchase intention and customer acquisition, E-tailer’s perspective. J. Retail. Consum. Serv. 68, 103015. https://doi.org/10.1016/j.jretconser.2022.103015
Zhu, W., Mou, J., Benyoucef, M. (2019). Exploring purchase intention in cross-border E-commerce: A three stage model. J. Retail. Consum. Serv. 51, 320–330. https://doi.org/10.1016/j.jretconser.2019.07.004
Jianhua, C., Ali, M. H., & Said, R. M. (2024). Perceived Values, Customer Engagement, and Collective Efficacy with C-A-C on Group Buying App’s Purchase Intention. International Journal of Academic Research in Business and Social Sciences, 14(9), 2097–2125.
Copyright: © 2024 The Author(s)
Published by Knowledge Words Publications (www.kwpublications.com)
This article is published under the Creative Commons Attribution (CC BY 4.0) license. Anyone may reproduce, distribute, translate and create derivative works of this article (for both commercial and non-commercial purposes), subject to full attribution to the original publication and authors. The full terms of this license may be seen at: http://creativecommons.org/licences/by/4.0/legalcode
