Gender differences in herbal platform adoption and user behavior: A multi-group comparison based on structural equation model
Vol 8, Issue 9, 2024
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Abstract
This study aims to examine how marketing mix and trust theories influence users’ intentions to adopt herbal platform services in Thailand and examine the impact of these intentions on actual service usage, placing a special focus on the integration of technologies in the context. The significant potential for growth in Thailand’s herbal business and the currently underutilized online platforms, it is crucial for stakeholders to understand the determinants of investment intentions. Merging marketing mix and trust theories, this research offers a comprehensive analysis of factors influencing the use of herbal platform, highlighting the relevance of herbal in enhancing service adoption. This study utilized a quantitative approach, gathering data through online surveys from 416 users of online herbal platforms in Thailand using SEM to examine the impact of gender on consumers’ decisions to use these platforms. This study provides insights into effective business strategies for herbal companies and contributes novel perspectives to the literature on herbal services. It specifically examines cognitive and emotional trust impacts and explores gender dynamics within the context of Health development. The study clarifies the roles of these factors and assesses the impact of gender on platform adoption, highlighting the importance of m-Health services in facilitating this process. Enhancing user engagement with herbal platform services requires prioritizing influential determinants, streamlining the investment experience, and underscoring the sector’s contribution to economic revitalization. Authorities should prioritize simplifying the investment landscape and initiating advocacy campaigns, while platform developers are advised to improve the user experience, bolster educational efforts, and heighten awareness of the investment advantages within the herbal industry. This research provides stakeholders with insights into the factors that enhance Thais’ engagement with herbal market platforms, especially via online channels. Identifying these key drivers is anticipated to boost participation in the herbal market, thereby contributing positively to Thailand’s economy.
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Alaeddin, O., Altounjy, R., Zainudin, Z., et al. (2018). From Physical to Digital: Investigating Consumer Behaviour of Switching to Mobile Wallet. Polish Journal of Management Studies, 17(2), 18–30. https://doi.org/10.17512/pjms.2018.17.2.02
Al-Otaibi, M. B., & Al-Zahrani, R. M. (2009). Electronic Commerce in the Kingdom of Saudi Arabia: An Evaluation of Commercial Organizations’ Web Sites. Available online: https://citeseerx.ist.psu.edu/document?repid=rep1&type=pdf&doi=6b23206534748cd57ff52dddd0a6e2a176b7d00e (accessed on 2 June 2023).
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
Arpaci, I. (2016). Understanding and predicting students’ intention to use mobile cloud storage services. Computers in Human Behavior, 58, 150–157. https://doi.org/10.1016/j.chb.2015.12.067
Ayeh, J. K., Au, N., & Law, R. (2013). “Do We Believe in TripAdvisor?” Examining Credibility Perceptions and Online Travelers’ Attitude toward Using User-Generated Content. Journal of Travel Research, 52(4), 437–452. https://doi.org/10.1177/0047287512475217
Bailey, A. A., Pentina, I., Mishra, A. S., et al. (2017). Mobile payments adoption by US consumers: an extended TAM. International Journal of Retail & Distribution Management, 45(6), 626–640. https://doi.org/10.1108/ijrdm-08-2016-0144
Berry, L. L., Shankar, V., Parish, J. T., et al. (2006) Creating new markets through service innovation. Management Review, 47(2), 54–63.
Bhattacherjee, A. (2012). Social Science Research: Principles, Methods, and Practices. Open University Press.
Bligh, B., & Crook, C. (2015) Learning Spaces: departure points for a spatial turn in Technology Enhanced Learning. In: Duval, E., Sharples, M., & Sutherland, R. (editors). A Reader in Technology-Enhanced Learning. Springer.
Boys, J. (2011) Where is the theory. In: Boddington, A., & Boys, J. (editors). Re-shaping learning: A critical reader: The future of learning spaces in post-compulsory education. Rotterdam: Sense Publishers. pp. 49–66.
Cantallops, A. S., & Salvi, F. (2014). New consumer behavior: A review of research on eWOM and hotels. International Journal of Hospitality Management, 36, 41–51. https://doi.org/10.1016/j.ijhm.2013.08.007
Chen, C. C., Hsiao, K. L., & Li, W. C. (2020). Exploring the determinants of usage continuance willingness for location-based apps: A case study of bicycle-based exercise apps. Journal of Retailing and Consumer Services, 55, 102097. https://doi.org/10.1016/j.jretconser.2020.102097
Cheng, S., & Cho, V. (2011). An Integrated Model of Employees’ Behavioral Intention Toward Innovative Information and Communication Technologies in Travel Agencies. Journal of Hospitality & Tourism Research, 35(4), 488–510. https://doi.org/10.1177/1096348010384598
Clement, J. (2019). Mobile apps that have been used only once 2019. Statista.
Cochran, W. G. (1953). Sampling Techiques. Wiley.
Couto, B., Manes, F., Montañés, P., et al. (2013). Structural neuroimaging of social cognition in progressive non-fluent aphasia and behavioral variant of frontotemporal dementia. Frontiers in Human Neuroscience, 7. https://doi.org/10.3389/fnhum.2013.00467
Crossan, M. M., & Apaydin, M. (2010). A Multi‐Dimensional Framework of Organizational Innovation: A Systematic Review of the Literature. Journal of Management Studies, 47(6), 1154–1191. https://doi.org/10.1111/j.1467-6486.2009.00880.x
Cucchiara, R., & Del Bimbo, A. (2014). Visions for Augmented Cultural Heritage Experience. IEEE MultiMedia, 21(1), 74–82. https://doi.org/10.1109/mmul.2014.19
Curran, P. J., West, S. G., & Finch, J. F. (1996). The robustness of test statistics to nonnormality and specification error in confirmatory factor analysis. Psychological Methods, 1(1), 16–29. https://doi.org/10.1037/1082-989x.1.1.16
Dacko, S. G. (2017). Enabling smart retail settings via mobile augmented reality shopping apps. Technological Forecasting and Social Change, 124, 243–256. https://doi.org/10.1016/j.techfore.2016.09.032
Darden, W. R., & Perreault, W. D. (1975). A Multivariate Analysis of Media Exposure and Vacation Behavior with Life Style Covariates. Journal of Consumer Research, 2(2), 93. https://doi.org/10.1086/208620
Davis, F. D. (1989). Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology. MIS Quarterly, 13(3), 319. https://doi.org/10.2307/249008
Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989). User Acceptance of Computer Technology: A Comparison of Two Theoretical Models. Management Science, 35(8), 982–1003. https://doi.org/10.1287/mnsc.35.8.982
Drucker, P. F. (1988) The Coming of the New Organization. Harvard Business Review, 66(1), 45–53.
Dwivedi, Y. K., Williams, M. D., & Venkatesh, V. (2008). Guest Editorial: A profile of adoption of Information & Communication Technologies (ICT) research in the household context. Information Systems Frontiers, 10(4), 385–390. https://doi.org/10.1007/s10796-008-9101-8
Fan, X., Chai, Z., Deng, N., et al. (2020). Adoption of augmented reality in online retailing and consumers’ product attitude: A cognitive perspective. Journal of Retailing and Consumer Services, 53, 101986. https://doi.org/10.1016/j.jretconser.2019.101986
Feng, Y., & Mueller, B. (2019). The State of Augmented Reality Advertising Around the Globe: A Multi-Cultural Content Analysis. Journal of Promotion Management, 25(4), 453–475. https://doi.org/10.1080/10496491.2018.1448323
Fishbein, M., & Ajzen, I. (1975). Belief, Attitude, Intention, and Behavior: An Introduction to Theory and Research. Reading,
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
Gharaibeh, M., Gharaibeh, N., Ayoub, M., et al. (2021). Intention to Use Mobile Augmented Reality in the Tourism Sector. Computer Systems Science and Engineering, 37(2), 187–202. https://doi.org/10.32604/csse.2021.014902
Gopalakrishnan, S., & Damanpour, F. (1997). A review of innovation research in economics, sociology and technology management. Omega, 25(1), 15–28.
Grzegorczyk, T., Sliwinski, R., & Kaczmarek, J. (2019). Attractiveness of augmented reality to consumers. Technology Analysis & Strategic Management, 31(11), 1257–1269. https://doi.org/10.1080/09537325.2019.1603368
Hair, J. F., Black, W. C., Babin, B. J., et al. (2010). Multivariate Data Analysis: A Global Perspectives, 7th ed. Pearson Prentice Hall.
Haque, A., Anwar, N., Yasmin, F., et al. (2015). Purchase Intention of Foreign Products. SAGE Open, 5(2), 215824401559268. https://doi.org/10.1177/2158244015592680
Heimo, O. I., Kimppa, K. K., Helle, S., et al. (2014). Augmented reality - Towards an ethical fantasy? 2014 IEEE International Symposium on Ethics in Science, Technology and Engineering. https://doi.org/10.1109/ethics.2014.6893423
Hurley, R. F., & Hult, G. T. M. (1998). Innovation, Market Orientation, and Organizational Learning: An Integration and Empirical Examination. Journal of Marketing, 62(3), 42–54. https://doi.org/10.1177/002224299806200303
ICT. (2023). E-health Strategy of Ministry of Public Health (2017–2026). Department of Mental Health.
Jung, T., Chung, N., & Leue, M. C. (2015). The determinants of recommendations to use augmented reality technologies: The case of a Korean theme park. Tourism Management, 49, 75–86. https://doi.org/10.1016/j.tourman.2015.02.013
Kaplanidou, K., & Vogt, C. (2006). A Structural Analysis of Destination Travel Intentions as a Function of Web Site Features. Journal of Travel Research, 45(2), 204–216. https://doi.org/10.1177/0047287506291599
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/10.1016/j.dss.2007.07.001
Klubnikin, A. (2016). Tourism apps are primed to reshape the app industry. Tech. Co.
Kysela, J., & Štorková, P. (2014). Using Augmented Reality as a Medium for Teaching History and Tourism. Procedia - Social and Behavioral Sciences, 174, 926–931. https://doi.org/10.1016/j.sbspro.2015.01.713
Law, R., Leung, R., & Buhalis, D. (2009). Information Technology Applications in Hospitality and Tourism: A Review of Publications From 2005 To 2007. Journal of Travel & Tourism Marketing, 26(5–6), 599–623. https://doi.org/10.1080/10548400903163160
Leavitt, C., & Walton, J. (1975). Development of a Scale for Innovativeness. Advances in Consumer Research, 2(1), 545–554.
Lee, S. (2018). Enhancing customers’ continued mobile app use in the service industry. Journal of Services Marketing, 32(6), 680–691. https://doi.org/10.1108/jsm-01-2017-0015
Li, C. Y., & Fang, Y. H. (2019). Predicting continuance intention toward mobile branded apps through satisfaction and attachment. Telematics and Informatics, 43, 101248. https://doi.org/10.1016/j.tele.2019.101248
Liu, C. H. S., & Lee, T. (2016). Service quality and price perception of service: Influence on word-of- mouth and revisit intention. Journal of Air Transport Management, 52(1), 42–54.
Liu, H., & Li, S. (2011). Speed Control for PMSM Servo System Using Predictive Functional Control and Extended State Observer. IEEE Transactions on Industrial Electronics, 59(2), 1171–1183. https://doi.org/10.1109/tie.2011.2162217
Lundvall, B. Å. (1985). Product Innovation and User-Producer Interaction. Aalborg University Press.
MA: Addison-Wesley.
Malhotra, N. K., Kim, S. S., & Patil, A. (2006). Common Method Variance in IS Research: A Comparison of Alternative Approaches and a Reanalysis of Past Research. Management Science, 52(12), 1865–1883. https://doi.org/10.1287/mnsc.1060.0597
McLean, G., & Wilson, A. (2019). Shopping in the digital world: Examining customer engagement through augmented reality mobile applications. Computers in Human Behavior, 101, 210–224. https://doi.org/10.1016/j.chb.2019.07.002
McLean, G., Al-Nabhani, K., & Wilson, A. (2018). Developing a Mobile Applications Customer Experience Model (MACE)- Implications for Retailers. Journal of Business Research, 85, 325–336. https://doi.org/10.1016/j.jbusres.2018.01.018
Nadeau, J., Heslop, L., O’Reilly, N., et al. (2008). Destination in a country image context. Annals of Tourism Research, 35(1), 84–106. https://doi.org/10.1016/j.annals.2007.06.012
Namahoot, K. S., & Jantasri, V. (2022). Integration of UTAUT model in Thailand cashless payment system adoption: the mediating role of perceived risk and trust. Journal of Science and Technology Policy Management, 14(4), 634–658. https://doi.org/10.1108/jstpm-07-2020-0102
Namahoot, K. S., & Laohavichien, T. (2018). Assessing the intentions to use internet banking. International Journal of Bank Marketing, 36(2), 256–276. https://doi.org/10.1108/ijbm-11-2016-0159
Nasri, W., & Charfeddine, L. (2012). Factors affecting the adoption of Internet banking in Tunisia: An integration theory of acceptance model and theory of planned behavior. The Journal of High Technology Management Research, 23(1), 1–14. https://doi.org/10.1016/j.hitech.2012.03.001
Nicas, J. (2016). Augmented reality moves forward with investments, products. The Wall Street Journal.
Nunnally, J. C., & Bernstein, I. H. (1994). Psychometric theory, 3rd ed. McGraw-Hill.
Oliveira, T., Thomas, M., Baptista, G., et al. (2016). Mobile payment: Understanding the determinants of customer adoption and intention to recommend the technology. Computers in Human Behavior, 61, 404–414. https://doi.org/10.1016/j.chb.2016.03.030
Oliver, R. L., & Bearden, W. O. (1985). Disconfirmation processes and consumer evaluations in product usage. Journal of Business Research, 13(3), 235–246. https://doi.org/10.1016/0148-2963(85)90029-3
Omer Sami, K., & Huseyin, B. (2019 Study of Augmented Reality Applications Use in Education and Its Effect on the Academic Performance. International Journal of Distance Education Technologies, 17(3), 25–36. https://doi.org/10.4018/ijdet.2019070102
Pang, Y., Nee, A. Y. C., Khim Ong, S., et al. (2006). Assembly feature design in an augmented reality environment. Assembly Automation, 26(1), 34–43. https://doi.org/10.1108/01445150610645648
Papadimitriou, D., Kaplanidou, K., & Apostolopoulou, A. (2015). Destination Image Components and Word-of-Mouth Intentions in Urban Tourism: A Multigroup Approach. Journal of Hospitality & Tourism Research, 42(4), 503–527. https://doi.org/10.1177/1096348015584443
Pejoska, J., Bauters, M., Purma, J., et al. (2016). Social augmented reality: Enhancing context‐dependent communication and informal learning at work. British Journal of Educational Technology, 47(3), 474–483. Portico. https://doi.org/10.1111/bjet.12442
Podsakoff, P. M., MacKenzie, S. B., Lee, J. Y., et al. (2003). Common method biases in behavioral research: A critical review of the literature and recommended remedies. Journal of Applied Psychology, 88(5), 879–903. https://doi.org/10.1037/0021-9010.88.5.879
Prifti, R., & Alimehmeti, G. (2017). Market orientation, innovation, and firm performance—an analysis of Albanian firms. Journal of Innovation and Entrepreneurship, 6(1). https://doi.org/10.1186/s13731-017-0069-9
Rana, N. P., Dwivedi, Y. K., & Williams, M. D. (2013). Evaluating alternative theoretical models for examining citizen centric adoption of e‐government. Transforming Government: People, Process and Policy, 7(1), 27–49. https://doi.org/10.1108/17506161311308151
Rouse, M. (2015). Relationship Marketing Definition. Available online: http://www.Techtarget.com (accessed on 2 June 2023).
Scholz, J., & Duffy, K. (2018). We are at home: How augmented reality reshapes mobile marketing and consumer-brand relationships. Journal of Retailing and Consumer Services, 44, 11–23. https://doi.org/10.1016/j.jretconser.2018.05.004
Schumpeter, J. A. (1934). The Theory of Economic Development. Harvard University Press.
Škerlavaj, M., Song, J. H., & Lee, Y. (2010). Organizational learning culture, innovative culture and innovations in South Korean firms. Expert Systems with Applications, 37(9), 6390–6403. https://doi.org/10.1016/j.eswa.2010.02.080
Slade, E. L., Dwivedi, Y. K., Piercy, N. C., et al. (2015). Modeling Consumers’ Adoption Intentions of Remote Mobile Payments in the United Kingdom: Extending UTAUT with Innovativeness, Risk, and Trust. Psychology & Marketing, 32(8), 860–873. Portico. https://doi.org/10.1002/mar.20823
Stone, R. T., Bisantz, A. M., Llinas, J., et al. (2009). Augmented Multisensory Interface Design (AMID): A Human-Centric Approach to Unisensory and Multisensory Augmented Reality Design. Journal of Cognitive Engineering and Decision Making, 3(4), 362–388. https://doi.org/10.1518/155534309x12599553478872
Suh, B., & Han, I. (2003). The Impact of Customer Trust and Perception of Security Control on the Acceptance of Electronic Commerce. International Journal of Electronic Commerce, 7(3), 135–161.
Sunbo, J., & Gallouj, F. (2000). Innovation as a loosely coupled system in services. In: Metcalfe, E. J., & Miles, I. (editors). Innovation Systems in the Service Economy. Kluwer Academic Publishers. pp. 43–68.
Tether, B., Miles, I., Blind, K., et al. (2002). Innovation in the service sector: analysis of data collected under the Community innovation Survey (CIS-2). University of Manchester.
Toivonen, M., &Tuominen, T. (2006). Emergence of innovations in services: theoretical discussion and two case studies. In: Proceedings of the International ProACT Conference: Innovation Pressure Rethinking Competitiveness, Policy and the Society in a Global Economy; Tampere.
Tom Dieck, M. C., Jung, T., & Han, D.-I. (2016). Mapping requirements for the wearable smart glasses augmented reality museum application. Journal of Hospitality and Tourism Technology, 7(3), 230–253. https://doi.org/10.1108/jhtt-09-2015-0036
Um, S., Chon, K., & Ro, Y. (2006). Antecedents of revisit intention. Annals of Tourism Research, 33(4), 1141–1158. https://doi.org/10.1016/j.annals.2006.06.003
Van Krevelen, D. and Poelman, R. (2010) A Survey of Augmented Reality Technologies, Applications and Limitations. International Journal of Virtual Reality, 9(2), 1-20. https://doi.org/10.20870/IJVR.2010.9.2.2767
Venkatesh, V., Thong, J. Y., & Xu, X. (2012). Consumer Acceptance and Use of Information Technology: Extending the Unified Theory of Acceptance and Use of Technology. MIS Quarterly, 36(1), 157. https://doi.org/10.2307/41410412
Vos, A. H. (2010). Service Innovation: Managing Innovation from Idea Generation to Innovative Offer [Master’s thesis]. University of Twente.
Weerakkody, V., Irani, Z., Kapoor, K., et al. (2017). Open data and its usability: an empirical view from the Citizen’s perspective. Information Systems Frontiers, 19(2), 285–300. https://doi.org/10.1007/s10796-016-9679-1
Yim, M. Y. C., Chu, S. C., & Sauer, P. L. (2017). Is Augmented Reality Technology an Effective Tool for E-commerce? An Interactivity and Vividness Perspective. Journal of Interactive Marketing, 39, 89–103. https://doi.org/10.1016/j.intmar.2017.04.001
Yoon, Y., & Uysal, M. (2005). An examination of the effects of motivation and satisfaction on destination loyalty: a structural model. Tourism Management, 26(1), 45–56. https://doi.org/10.1016/j.tourman.2003.08.016
Zainal Abidin, S. B., Mokhtar, S. S., & Yusoff, R. Z. (2011). A systematic analysis of innovation studies: a proposed framework on relationship between innovation process and firm’s performance. The Asian Journal of Technology Management, 4(2), 65–83.
DOI: https://doi.org/10.24294/jipd.v8i9.7579
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