The Perception of Consumer Behaviors in Subscription Platforms for Surplus Food Restaurants—An Analytical View of the Technology Acceptance Model
Abstract
:1. Introduction
2. Literature Review
2.1. Sharing Economy and Restaurant Subscription Services
2.2. Technology Acceptance Model (TAM)
2.2.1. Perceived Usefulness (PU)
2.2.2. Perceived Ease of Use (PEU)
2.2.3. Attitude toward Using (ATU)
2.2.4. Behavior Intention to Use (BIU)
2.3. New Environmental Paradigm (NEP)
2.4. Environmental Behavior (EB)
2.5. Relationships between Variables
2.5.1. Perceived Usefulness and Attitude toward Using
2.5.2. Perceived Ease of Use and Attitude toward Using
2.5.3. New Environmental Paradigm and Attitude towards Use
2.5.4. Environmental Behavior and Attitude toward Using
2.5.5. Attitude toward Using and Intention to Use
2.5.6. Perceived Usefulness, Attitude toward Using, and Intention to Use
2.5.7. Perceived Ease of Use, Attitude toward Using, and Intention to Use
2.5.8. New Environmental Paradigm, Attitude toward Using, and Intention to Use
2.5.9. Environmental Behavior, Attitude toward Using, and Intention to Use
3. Methodology
3.1. Ethical Statement
3.2. Sample and Data Collection
3.3. Statistical Analysis
3.4. Measurement
4. Results
4.1. Reliability and Validity
4.2. Structural Equation Modeling and Empirical Analysis
4.3. Mediated Effect Analysis
5. Conclusions and Suggestions
5.1. Conclusions
5.1.1. The Relationship between Consumers’ Perceived Usefulness and Their Attitude toward Using Restaurant Subscription Platforms
5.1.2. The Relationship between Consumers’ Attitude toward Using and Their Perceived Ease of Use of Restaurant Subscription Platforms
5.1.3. The Relationship between Consumers’ New Environmental Paradigm and Their Attitude toward Using Restaurant Subscription Platforms
5.1.4. The Relationship between Consumers’ Environmental Behavior and Their Attitude toward Using Restaurant Subscription Platforms
5.1.5. The Relationship between Consumers’ Attitude toward Using and Their Intention to Use Restaurant Subscription Platforms
5.1.6. The Mediated Effect of Consumers’ Attitude toward Using Restaurant Subscription Platforms between Their Perceived Usefulness and Intention to Use
5.1.7. The Mediated Effect of Consumers’ Attitude toward Using Restaurant Subscription Platforms between Their Perceived Ease of Use and Intention to Use
5.1.8. The Mediated Effect of Consumers’ Attitude toward Using Restaurant Subscription Platforms between Their New Environmental Paradigm and Intention to Use
5.1.9. The Mediated Effect of Consumers’ Attitude toward Using Restaurant Subscription Platforms between Their Environmental Behaviors and Intention to Use
5.2. Suggestions
5.2.1. Develop a Restaurant Subscription Platform with Sufficient and Correct Information
5.2.2. Design a Restaurant Subscription Platform with an Interface That Is Easy to Operate
5.2.3. Support the Concept of Sustainability and Maintain a Friendly Environmental Attitude
5.2.4. Add Customized Surplus Food without Safety Concerns for Subscription
5.2.5. Make Good Use of Social Media to Promote the Restaurant Subscription System and Platform
5.2.6. Continuously Better Customer Experience of Using the Restaurant Subscription Platform
5.2.7. Add Innovative Elements to the Application Interface to Motivate Users
5.2.8. Introduce the Concept of Restaurant Sustainability to Groups with Strong Environmental Awareness
5.2.9. Cooperate with Celebrity Chefs to Promote or Participate in the Sustainable Spiritual Food Program
5.2.10. Improve Food Resource Utilization and Sustainability
6. Contributions and Limitations
6.1. Contributions
6.1.1. Academic Contributions
6.1.2. Practical Contributions
6.2. Limitations
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
- Huang, H.; He, Y.; Li, D. Pricing and inventory decisions in the food supply chain with production disruption and controllable deterioration. J. Clean. Prod. 2018, 180, 280–296. [Google Scholar] [CrossRef]
- Galli, F.; Hebinck, A.; Carroll, B. Addressing food poverty in systems: Governance of food assistance in three European countries. Food Secur. 2018, 10, 1353–1370. [Google Scholar] [CrossRef]
- Kummu, M.; De Moel, H.; Porkka, M.; Siebert, S.; Varis, O.; Ward, P.J. Lost food, wasted resources: Global food supply chain losses and their impacts on freshwater, cropland, and fertiliser use. Sci. Total Environ. 2012, 438, 477–489. [Google Scholar] [CrossRef] [PubMed]
- Parfitt, J.; Barthel, M.; Macnaughton, S. Food waste within food supply chains: Quantification and potential for change to 2050. Philos. Trans. R. Soc. B Biol. Sci. 2010, 365, 3065–3081. [Google Scholar] [CrossRef] [PubMed]
- Chen, H.; Chen, Y.J.; Yang, H.T.; Hsu, K.C.; Zhou, M.; Chen, C.S.; Chuang, P.T. Implementation of food safety management systems that comply with ISO 22000: 2018 and HACCP: A case study of a postpartum diet enterprise in Taiwan. J. Food Saf. 2022, 42, e12965. [Google Scholar] [CrossRef]
- Taiwan Food and Drug Administration. Food Safety and Sanitation Management Act. Available online: https://www.fda.gov.tw (accessed on 17 September 2024).
- Amicarelli, V.; Bux, C. Food waste measurement toward a fair, healthy and environmental-friendly food system: A critical review. Br. Food J. 2021, 123, 2907–2935. [Google Scholar] [CrossRef]
- Melkonyan, A.; Gruchmann, T.; Lohmar, F.; Kamath, V.; Spinler, S. Sustainability assessment of last-mile logistics and distribution strategies: The case of local food networks. Int. J. Prod. Econ. 2020, 228, 107746. [Google Scholar] [CrossRef]
- Walther, B.A.; Yen, N.; Hu, C.S. Strategies, actions, and policies by Taiwan’s ENGOs, media, and government to reduce plastic use and marine plastic pollution. Mar. Policy 2021, 126, 104391. [Google Scholar] [CrossRef]
- Liao, C.H. Entrepreneurship and Rapid Growth Strategy of Online Retailer—Case Study of Buy123.com. Master’s Thesis, National Taiwan University, Taipei, Taiwan, 2020. [Google Scholar] [CrossRef]
- Davis, F.D. Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Q. 1989, 13, 319–340. [Google Scholar] [CrossRef]
- Al-Nuaimi, M.N.; Al-Emran, M. Learning management systems and technology acceptance models: A systematic review. Educ. Inf. Technol. 2021, 23, 1–35. [Google Scholar] [CrossRef]
- Yucel, U.A.; Gulbahar, Y. Technology acceptance model: A review of the prior predictors. Ank. Üniversitesi Eğitim Bilim. Fakültesi Derg. 2013, 46, 89–109. [Google Scholar] [CrossRef]
- Al-Emran, M.; Granic, A. Is It Still Valid or Outdated? A Bibliometric Analysis of the Technology Acceptance Model and Its Applications from 2010 to Recent Advances in Technology Acceptance Models and Theories; Springer: Berlin/Heidelberg, Germany, 2021; Available online: https://reurl.cc/lyRKRY (accessed on 1 March 2024).
- Driediger, F.; Bhatiasevi, V. Online grocery shopping in Thailand: Consumer acceptance and usage behavior. J. Retail. Consum. Serv. 2019, 48, 224–237. [Google Scholar] [CrossRef]
- Liébana-Cabanillas, F.; Marinković, V.; Kalinić, Z. A SEM-neural network approach for predicting antecedents of m-commerce acceptance. Int. J. Inf. Manag. 2017, 37, 14–24. [Google Scholar] [CrossRef]
- Putri, G.A.; Wijayanti, A.W.; Ariani, K.R. The Application of Technology Acceptance Model to Assess the Role of Complexity Toward Customer Acceptance on Mobile Banking. In International Conference on Smart Computing and Cyber Security: Strategic Foresight, Security Challenges and Innovation; Springer: Singapore, 2020; pp. 259–265. [Google Scholar] [CrossRef]
- Renny, R.; Guritno, S.; Siringoringo, H. Peer review: Perceived usefulness, ease of use, and attitude towards online shopping usefulness towards online airlines ticket purchase. Procedia Soc. Behav. Sci. 2016, 81, 212–216. [Google Scholar] [CrossRef]
- Munoz-Leiva, F.; Climent-Climent, S.; Liébana-Cabanillas, F. Determinants of intention to use the mobile banking apps: An extension of the classic TAM model. Span. J. Mark. -ESIC. 2017, 21, 25–38. [Google Scholar] [CrossRef]
- Barr, S. Factors influencing environmental attitudes and behaviors: A UK case study of household waste management. Environ. Behav. 2007, 39, 435–473. [Google Scholar] [CrossRef]
- Ogunbode, C.A. The NEP scale: Measuring ecological attitudes/worldviews in an African context. Environ. Dev. Sustain. 2013, 15, 1477–1494. [Google Scholar] [CrossRef]
- Choi, A.S.; Fielding, K.S. Environmental attitudes as WTP predictors: A case study involving endangered species. Ecol. Econ. 2013, 89, 24–32. [Google Scholar] [CrossRef]
- Hawcroft, L.J.; Milfont, T.L. The use (and abuse) of the new environmental paradigm scale over the last 30 years: A meta-analysis. J. Environ. Psychol. 2010, 30, 143–158. [Google Scholar] [CrossRef]
- Hungerford, H.R.; Volk, T.L. Changing learner behavior through environmental education. J. Environ. Educ. 1990, 21, 8–21. [Google Scholar] [CrossRef]
- Makani, F.L. Strategies Small Restaurant Owners Use to Reduce Food Waste and Increase Profits; Walden University: Minneapolis, MN, USA, 2016. [Google Scholar]
- Wang, S.C.; Liao, W.B.; Wang, S.S.; Yen, K.C.; Lin, Y.N. The Service Quality Enhancement in a Cloud Market by the Business Model Level and Publish Subscription Mechanism Integrations. Int. J. Adv. Inf. Technol. 2011, 5, 246–255. [Google Scholar]
- Baxter, R.K. The Membership Economy. In Find Your Super Users, Master the Forever Transaction, and Build Recurring Revenue; McGraw-Hill Education: New York, NY, USA, 2015. [Google Scholar]
- Wealth Biweekly. A New E-Commerce Operating Model: The “Subscription System” for Scheduled Service Purchases. Available online: https://reurl.cc/Or0WGr (accessed on 3 August 2024).
- Lo, C.H.; Huang, S.H. Model of Technology Accepts For Dining App Consumption Behavior Research. J. Sport. Leis. Hosp. Res. 2017, 12, 20–37. [Google Scholar] [CrossRef]
- Bischof, S.F.; Boettger, T.M.; Rudolph, T. Curated subscription commerce: A theoretical conceptualization. J. Retail. Consum. Serv. 2020, 54, 101822. [Google Scholar] [CrossRef]
- Wang, B.-D. The Subscription Economy Is Here! Customers Don’t Want Ownership; They Care More about Usability. Available online: https://www.managertoday.com.tw/columns/view/51145 (accessed on 7 August 2024).
- Hsieh, Y.H. Taiwan Discards 9.9 Pieces of Clothing Every Minute: The Truth Behind “Wear Once and Get Your Money’s Worth” in Fast Fashion. Available online: https://storystudio.tw/article/s_for_supplement/fast-fashions-highest-prize/ (accessed on 6 August 2024).
- Hsueh, S.Y. Surplus Food Matching Platform, REDUCE GO. Available online: https://reurl.cc/qvge5q (accessed on 5 August 2024).
- SET News. Osaka’s “Subscription” Dining Trend Explodes! The More You Eat, the More You Save—10 Meals for only 980 Yen. Available online: https://reurl.cc/6dazLb (accessed on 3 August 2024).
- Chang, C.Y. The Influence of Locus of Control on the Attitude and Willingness of Digital Teaching Materials—Technology Acceptance Model and the Theory of Planned Behavior Orientation. Master’s Thesis, National Taichung University of Education, Taichung, Taiwan, 2017. Available online: https://hdl.handle.net/11296/32f8ec (accessed on 1 April 2024).
- Hsieh, Y.F. The study on using RWD website of elderly adults. J. Taipei Univ. Mar. Technol. 2021, 12, 135–166. Available online: https://reurl.cc/pvgex8 (accessed on 1 May 2024).
- Chen, H.W.; Chou, H.Y.; Yang, L.J. Influence of Knowledge Management on New Product Performance in the Financial Industry. In Proceedings of the 10th Academic Conference on Enhancing Competitiveness and Business Management, Taipei, Taiwan, 1 May 2015; pp. 317–334. [Google Scholar] [CrossRef]
- WU, T.H. Exploring Pre-Service Elementary Teachers’ Intention toward Using Interactive Response System in Teaching: A Technology Acceptance Model Approach. Master’s Thesis, National Taipei University of Education, Taipei, Taiwan, 2017. Available online: https://hdl.handle.net/11296/s454sa (accessed on 1 January 2024).
- Pavlou, P.A. Consumer acceptance of electronic commerce: Integrating trust and risk with the technology acceptance model. Int. J. Electron. Commer. 2003, 7, 101–134. [Google Scholar] [CrossRef]
- Jen, W.; Lu, T.; Liu, P.T. An Integrated Analysis of Technology Acceptance Behaviour Models: Comparison of Three Major Models. MIS Rev. 2009, 15, 101–138. [Google Scholar]
- Chi, T. Understanding Chinese consumer adoption of apparel mobile commerce: An extended TAM approach. J. Retail. Consum. Serv. 2018, 44, 274–284. [Google Scholar] [CrossRef]
- Chuang, C.H.; Chen, G.C.; Tsai, C.G.; Wang, H.L.; Chi, Y.H. Preliminary Study of ROCAF Pilots’ Attitude toward a Flight Simulator through Technology Acceptance Model. J. Crisis Manag. 2017, 14, 95–106. [Google Scholar]
- Lin, S.T. Research on Expectation of Consumers Using Outbound Delivery Platform APP with Technology Acceptance Model. Master’s Thesis, Tamkang University, Taipei, Taiwan, 2020. Available online: https://hdl.handle.net/11296/47psk3 (accessed on 1 January 2024).
- Dunlap, R.E.; Van Liere, K.D. The “new environmental paradigm”. J. Environ. Educ. 1978, 9, 10–19. [Google Scholar] [CrossRef]
- Dunlap, R.E.; Van Liere, K.D.; Mertig, A.G.; Jones, R.E. New trends in measuring environmental attitudes: Measuring endorsement of the new ecological paradigm: A revised NEP scale. J. Soc. Issues 2000, 56, 425–442. [Google Scholar] [CrossRef]
- Hsu, M.L. Public Support and Intended Use of Renewable Energy: An Exploratory Model of Environmental Belief, Actions, and Communication. Chin. J. Commun. Res. 2017, 32, 9–44. [Google Scholar] [CrossRef]
- Lorenz, B.A.S.; Hartmann, M.; Langen, N. What makes people leave their food? The interaction of personal and situational factors leading to plate leftovers in canteens. Appetite 2017, 116, 45–56. [Google Scholar] [CrossRef] [PubMed]
- De Hooge, I.E.; Oostindjer, M.; Aschemann-Witzel, J.; Normann, A.; Loose, S.M.; Almli, V.L. This apple is too ugly for me!: Consumer preferences for suboptimal food products in the supermarket and at home. Food Qual. Prefer. 2017, 56, 80–92. [Google Scholar] [CrossRef]
- Mainieri, T.; Barnett, E.G.; Valdero, T.R.; Unipan, J.B.; Oskamp, S. Green buying: The influence of environmental concern on consumer behavior. J. Soc. Psychol. 1997, 137, 189–204. [Google Scholar] [CrossRef]
- Schmidt, K. Explaining and promoting household food waste-prevention by an environmental psychological based intervention study. Resour. Conserv. Recycl. 2016, 111, 53–66. [Google Scholar] [CrossRef]
- Taufique, K.M.R.; Vaithianathan, S. A fresh look at understanding Green consumer behavior among young urban Indian consumers through the lens of Theory of Planned Behavior. J. Clean. Prod. 2018, 183, 46–55. [Google Scholar] [CrossRef]
- Baldi, L.; Trentinaglia, M.T.; Mancuso, T.; Peri, M. Attitude toward environmental protection and toward nature: How do they shape consumer behaviour for a sustainable tomato? Food Qual. Prefer. 2021, 90, 104175. [Google Scholar] [CrossRef]
- Costa, C.S.R.; da Costa, M.F.; Maciel, R.G.; Aguiar, E.C.; Wanderley, L.O. Consumer antecedents towards green product purchase intentions. J. Clean. Prod. 2021, 313, 127964. [Google Scholar] [CrossRef]
- Caniëls, M.C.; Lambrechts, W.; Platje, J.J.; Motylska-Kuźma, A.; Fortuński, B. Impressing my friends: The role of social value in green purchasing attitude for youthful consumers. J. Clean. Prod. 2021, 303, 126993. [Google Scholar] [CrossRef]
- Donmez-Turan, A.; Kiliclar, I.E. The analysis of pro-environmental behaviour based on ecological worldviews, environmental training/knowledge and goal frames. J. Clean. Prod. 2021, 279, 123518. [Google Scholar] [CrossRef]
- Lin, S.W.; Liu, Y. A Study on Tourists’ Adoption of Mobile Commerce. Chung Yuan Phys. Educ. J. 2017, 11, 37–46. [Google Scholar]
- Chang, J.H.; Chiang, J.Y. Investigating Consumers Acceptance Behavior on Mobile Payment by TAM Model. Leis. Ind. Res. 2017, 15, 36–54. [Google Scholar]
- Tsai, M.H.; Wang, C.H. Using Technology Acceptance Model to Explore the Use of Kiosk Check-in for Tourists at Penghu Airport: Moderating Effect of Trust. J. Leis. Recreat. Ind. Manag. 2021, 14, 25–44. [Google Scholar]
- Wang, G.X.; Hsu, H.C. Factors Associated with the Using Frequency of Taiwanese Community Platform: Perspective on TAM. J. Democr. Gov. 2017, 4, 1–38. [Google Scholar] [CrossRef]
- Chang, M.J.; Lo, Y.T. A Study of Behavioral Intentions to Use Mobile Payment-Extended TAM Perspective. Ling Tung J. 2020, 46, 51–84. [Google Scholar]
- Liou, J.C.; Chen, H.C. The Environmental Worldview of Freshmen in a Teachers’ College. J. Natl. Taichung Teach. Coll. 2002, 16, 433–450. [Google Scholar]
- Fujii, S. Environmental concern, attitude toward frugality, and ease of behavior as determinants of pro-environmental behavior intentions. J. Environ. Psychol. 2006, 26, 262–268. [Google Scholar] [CrossRef]
- Ya, S.W. A Study of Green Purchase Attitude and Intention. Master’s Thesis, National Pingtung University of Science and Technology, Pingtung, Taiwan, 2012. Available online: https://hdl.handle.net/11296/r3pgyv (accessed on 1 January 2024).
- Yoon, C. Extending the TAM for Green IT: A normative perspective. Comput. Hum. Behav. 2018, 83, 129–139. [Google Scholar] [CrossRef]
- Chang, Y.H.; Lin, Y.D.; Deng, S.L.; Liu, K.C. An Explore of Relationship between Attitude of New Environmental Paradigm and Responsible Environmental Behavior—An Example of Chiayi Arboretum. Q. J. For. Res. 2011, 33, 13–27. [Google Scholar] [CrossRef]
- Curtis, S.K.; Lehner, M. Defining the sharing economy for sustainability. Sustainability 2019, 11, 567. [Google Scholar] [CrossRef]
- Lin, M.R.; Wang, W.C. The Public’s Adaptation Behavior Model on the Risk and Harm of Environmental Pollution. J. Environ. Educ. Res. 2022, 18, 73–112. [Google Scholar] [CrossRef]
- Chiu, H.Y. Exploring Factors that Influence Pro-Environmental Behavior—A Case Study of Residents in Ilan County. Master’s Thesis, National Ilan University, Ilan, Taiwan, 2018. Available online: https://reurl.cc/A2kvKE (accessed on 1 March 2024).
- Lee, V.H.; Hew, J.J.; Leong, L.Y.; Tan, G.W.H.; Ooi, K.B. Wearable payment: A deep learning-based dual-stage SEM-ANN analysis. Expert Syst. Appl. 2020, 157, 113477. [Google Scholar] [CrossRef]
- Huang, T.L. Applying the Integration of TAM and TPB to Explore Consumers’ Behavior Intention of QR Code Internet Shopping. Master’s Thesis, Tainan University of Technology, Tainan, Taiwan, 2017. Available online: https://reurl.cc/Gpm2xA (accessed on 1 April 2024).
- Cheng, J.F. A Study on Customers’ Intention of Using Smart Speakers Based on the Technology Acceptance Mode. Master’s Thesis, National Pingtung University of Science and Technology, Pingtung, Taiwan, 2019. Available online: https://hdl.handle.net/11296/9huhej (accessed on 1 January 2024).
- Wu, Z.L. A Study of the Effect on the Key Success Factor of Mobile Payment: A Perspective of Technology Acceptance Model and Theory Planned Behavior. Master’s Thesis, Kun Shan University, Tainan, Taiwan, 2019. Available online: https://hdl.handle.net/11296/3kk5wk (accessed on 1 April 2024).
- Loureiro, S.M.C.; Sarmento, E.M. Enhancing brand equity through emotions and experience: The banking sector. Int. J. Bank. Mark. 2018, 36, 868–883. [Google Scholar] [CrossRef]
- Kuo, M.H. Investigating the Intention to Use Third-Party Payment Services through the Technology Acceptance Model. Master’s Thesis, National Cheng Kung University, Tainan, Taiwan, 2018. Available online: https://hdl.handle.net/11296/hrr5bd (accessed on 1 March 2024).
- Liao, F.; Qing, P.; Hou, M.H. Analysis on the influencing factors of consumers’ wasting food behaviors: Based on the theory of planned behaviors. Res. Agric. Mod. 2020, 41, 115–124. [Google Scholar]
- Shein, P.P.; Chen, M.C.; Chiang, C.C. Relationships Among Teachers’ Attitudes Toward Sustainable Development, Air Pollution Risk Receptions, and Air Pollution Preventive Behaviors. Contemp. J. Sci. Educ. 2020, 28, 169–195. [Google Scholar] [CrossRef]
- Liang, T.T. Exploring Brand Attitude and Purchase Intention of Developing New Products with Leftover Food: Taking Community Attachment as a Moderator. Master’s Thesis, I-Shou University, Kaohsiung, Taiwan, 2019. Available online: https://hdl.handle.net/11296/4qkem5 (accessed on 1 January 2024).
- Hines, J.M.; Hungerford, H.R.; Tomera, A.N. Analysis and synthesis of research on responsible environmental behavior: A meta-analysis. J. Environ. Educ. 1987, 18, 1–8. [Google Scholar] [CrossRef]
- Nunnally, J.C. Psychometric Theory 3E; Tata McGraw-Hill Education: New York, NY, USA, 1994; Available online: https://reurl.cc/eyVOV7 (accessed on 1 January 2024).
- Vogt, W.P.; Johnson, B. Dictionary of Statistics & Methodology: A Nontechnical Guide for the Social Sciences; Sage: Thousand Oaks, CA, USA, 2011. [Google Scholar]
- Nunnally, J.C. An overview of psychological measurement. In Clinical Diagnosis of Mental Disorders: A Handbook; Springer: Boston, MA, USA, 1978; pp. 97–146. [Google Scholar]
- Fornell, C.; Larcker, D.F. Evaluating structural equation models with unobservable variables and measurement error. J. Mark. Res. 1981, 18, 39–50. [Google Scholar] [CrossRef]
- McIver, J.; Carmines, E.G. Unidimensional Scaling; Sage: Thousand Oaks, CA, USA, 1981; Volume 24, Available online: https://methods.sagepub.com/book/unidimensional-scaling (accessed on 1 January 2024).
- Bentler, P.M. Comparative fit indexes in structural models. Psychol. Bull. 1990, 107, 238. [Google Scholar] [CrossRef]
- Jöreskog, K.G.; Sörbom, D. LISREL 8: User’s Reference Guide; Scientific Software International: Chapel Hill, NC, USA, 1996; Available online: https://reurl.cc/YqkXkO (accessed on 1 April 2024).
- Hu, L.; Bentler, P.M. Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Struct. Equ. Model. A Multidiscip. J. 1999, 6, 1–55. [Google Scholar] [CrossRef]
- McDonald, R.P.; Ho, M.R. Principles and practice in reporting structural equation analysis. Psychol. Methods 2002, 7, 64–82. [Google Scholar] [CrossRef]
- Preacher, K.J.; Hayes, A.F. SPSS and SAS procedures for estimating indirect effects in simple mediation models. Behav. Res. Methods Instrum. Comput. 2004, 36, 717–731. [Google Scholar] [CrossRef] [PubMed]
- Shrout, P.E.; Bolger, N. Mediation in experimental and nonexperimental studies: New procedures and recommendations. Psychol. Methods 2002, 7, 422–445. [Google Scholar] [CrossRef] [PubMed]
- Pappa, I.C.; Iliopoulos, C.; Massouras, T. What determines the acceptance and use of electronic traceability systems in agri-food supply chains? J. Rural. Stud. 2018, 58, 123–135. [Google Scholar] [CrossRef]
- Chang, R.C. Using the Technology Acceptance Model to Explore the Effect of Relative Advantages, Compatibility, Perceptual Usefulness and Perceived Ease of Use of Water-Based Runway Products on Adoption Intention: Adoption of Attitude as Mediator. Master’s Thesis, Tung Hai University, Taichung, Taiwan, 2019. Available online: https://hdl.handle.net/11296/u39923 (accessed on 1 April 2024).
- Chuang, C.Y. The Study on the Attitude and Usage of the Elementary School Teachers in Digital Finance. Master’s Thesis, National Pingtung University of Science and Technology, Pingtung, Taiwan, 2018. Available online: https://hdl.handle.net/11296/x3wsb3 (accessed on 1 April 2024).
- Ning, Y.; Yan, M.; Xu, S.X.; Li, Y.; Li, L. Shared parking acceptance under perceived network externality and risks: Theory and evidence. Transp. Res. Part. A Policy Pract. 2021, 150, 1–15. [Google Scholar] [CrossRef]
- Kotler, P.; Armstrong, G. Principles of Marketing; Pearson Education: London, UK, 2010. [Google Scholar]
- Kim, C.; Mirusmonov, M.; Lee, I. An empirical examination of factors influencing the intention to use mobile payment. Comput. Hum. Behav. 2010, 26, 310–322. [Google Scholar] [CrossRef]
- Song, H.J.; Lee, C.K.; Kang, S.K.; Boo, S.J. The effect of environmentally friendly perceptions on festival visitors’ decision-making process using an extended model of goal-directed behavior. Tour. Manag. 2012, 33, 1417–1428. [Google Scholar] [CrossRef]
- Choi, T.M.; Guo, S.; Liu, N.; Shi, X. Values of food leftover sharing platforms in the sharing economy. Int. J. Prod. Econ. 2019, 213, 23–31. [Google Scholar] [CrossRef]
- Hassan, S.; Nadzim, S.Z.A.; Shiratuddin, N. Strategic use of social media for small business based on the AIDA model. Procedia-Soc. Behav. Sci. 2015, 172, 262–269. [Google Scholar] [CrossRef]
- Lagrosen, S. Effects of the internet on the marketing communication of service companies. J. Serv. Mark. 2005, 19, 63–69. [Google Scholar] [CrossRef]
- Wijaya, B.S. The development of hierarchy of effects model in advertising. Int. Res. J. Bus. Stud. 2015, 5, 73–85. [Google Scholar] [CrossRef]
- Straub, E.T. Understanding technology adoption: Theory and future directions for informal learning. Rev. Educ. Res. 2009, 79, 625–649. [Google Scholar] [CrossRef]
- Zheng, J.; Li, S. What drives students’ intention to use tablet computers: An extended technology acceptance model. Int. J. Educ. Res. 2020, 102, 101612. [Google Scholar] [CrossRef]
- Song, J.; Jamous, N.; Turowski, K. A dynamic perspective: Local interactions driving the spread of social networks. Enterp. Inf. Syst. 2019, 13, 219–235. [Google Scholar] [CrossRef]
- Till, B.D.; Busler, M. Matching products with endorsers: Attractiveness versus expertise. J. Consum. Mark. 1998, 15, 576–586. [Google Scholar] [CrossRef]
- Chang, H.; Hsieh, C.L.; Ho, J.M.; Chang, Y.A. Application of the Theory of Planned Behavior to Investigate Consumer Willingness to Purchase Suboptimal Food. J. Heath Sci. 2019, 6, 27–44. [Google Scholar] [CrossRef]
- Banks, H. The business of peace: Coca-Cola’s contribution to stability, growth, and optimism. Bus. Horiz. 2016, 59, 455–461. [Google Scholar] [CrossRef]
- Agricultural Technology Research Institute; Agricultural Policy Research Center. Introduction to the United Nations 2030 Sustainable Development Goals (SDGs). 2018. Available online: https://reurl.cc/MjAKaX (accessed on 8 August 2024).
- Song, H.; Ruan, W.J.; Jeon, Y.J.J. An integrated approach to the purchase decision making process of food-delivery apps: Focusing on the TAM and AIDA models. Int. J. Hosp. Manag. 2021, 95, 102943. [Google Scholar] [CrossRef]
- Chu, Y.H. Influence of Storytelling Marketing and Product Involvement on Purchase Intention for Cultural Creative Handicraft Product. Leis. Ind. Res. 2016, 14, 73–89. [Google Scholar] [CrossRef]
- Kim, J.J.; Hwang, J. Merging the norm activation model and the theory of planned behavior in the context of drone food delivery services: Does the level of product knowledge really matter? J. Hosp. Tour. Manag. 2020, 42, 1–11. [Google Scholar] [CrossRef]
- Abyad, A. Importance of Consumer Trust in e-commerce. Middle East. J. Bus. 2017, 55, 1–5. [Google Scholar] [CrossRef]
- Sun, J.; Chi, T. Key factors influencing the adoption of apparel mobile commerce: An empirical study of Chinese consumers. J. Text. Inst. 2018, 109, 785–797. [Google Scholar] [CrossRef]
- Cheema, U.; Rizwan, M.; Jalal, R.; Durrani, F.; Sohail, N. The trend of online shopping in 21st century: Impact of enjoyment in TAM Model. Asian J. Empir. Res. 2013, 3, 131–141. [Google Scholar]
- Saricam, C. Acceptance of apparel private sale sites by consumers: Application of original and extended technology acceptance model. J. Text. Inst. 2015, 106, 1059–1070. [Google Scholar] [CrossRef]
N = 369 | Item | N | Percentage |
---|---|---|---|
Gender | Male | 177 | 48.0% |
Female | 192 | 52.0% | |
Age | Under 19 | 15 | 4.1% |
20–29 | 56 | 15.2% | |
30–39 | 91 | 24.7% | |
40–49 | 118 | 32.0% | |
50–59 | 82 | 18.4% | |
Above 60 | 21 | 5.7% | |
Paid attention to environmental issues | Yes | 310 | 84.0% |
No | 59 | 16.0% |
Construct/Variable | Number of Statements | Measuring Items | Sources of Adoption |
---|---|---|---|
Perceived Usefulness (PU) | 3 | PU1. I believe that using a restaurant subscription service allows me to quickly receive relevant information about the restaurant (such as location, distance, menu, etc.). PU 2. I believe that using a restaurant subscription service simplifies the payment process for ordering (e.g., joining as a member and paying the monthly fee online with a credit card). PU 3. Overall, I find that using a restaurant subscription service is beneficial to me. | [29] |
Perceived Ease of Use (PEU) | 3 | PEU 1. I find it easy to use the restaurant subscription service app. PEU 2. I find that using the restaurant subscription service helps me easily understand the menu information. PEU 3. I find that the ordering process through the restaurant subscription service is easy. | [29] |
Attitude Toward Use (AUT) | 3 | AUT 1. Compared to traditional restaurant consumption methods, the restaurant subscription service intrigues me. AUT 2. I find the overall concept of the restaurant subscription service to be appealing. AUT 3. I believe that choosing the restaurant subscription service as a payment method is helpful for frequent purchases. | [29] |
Behavior Intention to Use (BIU) | 4 | BIU 1. If a platform offering a restaurant subscription service is launched, I would be interested in using it. BIU 2. If the restaurant subscription service provides a variety of restaurants and meal options, I would want to continue using it. BIU 3. I would recommend the restaurant subscription service to friends and family when choosing dining options. | [29] |
New Environmental Paradigm (NEP) | 3 | NEP 1. I believe that space and resources on Earth are limited, so food should not be wasted. NEP 2. I believe that humanity should prioritize the responsible use of resources to achieve sustainable development. NEP 3. I believe that everyone should cherish food and possessions and live in harmony with nature. | [39] |
Environmental Behavior (EB) | 2 | EB 1. If the restaurant subscription service offers meals made from surplus food, I might be interested in trying them. EB 2. If the restaurant subscription service provides a platform for surplus food exchange, I might be interested in trying it. | [73] |
Items | Factor Loading | Cronbach’s α | CR | AVE |
---|---|---|---|---|
Perceived Usefulness | 0.772 | 0.78 | 0.55 | |
PU1. | 0.64 | |||
PU 2 | 0.69 | |||
PU 3 | 0.87 | |||
Perceived Ease of Use | 0.877 | 0.80 | 0.71 | |
PEU 1 | 0.87 | |||
PEU 2 | 0.80 | |||
PEU 3 | 0.85 | |||
Attitude Toward Use | 0.857 | 0.86 | 0.68 | |
AUT 1 | 0.85 | |||
AUT 2 | 0.88 | |||
AUT 3 | 0.73 | |||
Behavior Intention to Use | 0.925 | 0.93 | 0.76 | |
BIU 1 | 0.87 | |||
BIU 2 | 0.82 | |||
BIU 3 | 0.88 | |||
BIU 4 | 0.92 | |||
New Environmental Paradigm | 0.880 | 0.89 | 0.73 | |
NEP 1 | 0.70 | |||
NEP 2 | 0.94 | |||
NEP 3 | 0.90 | |||
Environmental Behavior | 0.940 | 0.94 | 0.89 | |
EB 1 | 0.96 | |||
EB 1 | 0.93 |
Construct | Mean | S.D. | 1 | 2 | 3 | 4 | 5 | 6 |
---|---|---|---|---|---|---|---|---|
1. Perceived Usefulness | 4.05 | 0.72 | 1 | |||||
2. Perceived Ease of Use | 4.12 | 0.72 | 0.707 ** | 1 | ||||
3. Attitude Toward Use | 4.01 | 0.75 | 0.663 ** | 0.670 ** | 1 | |||
4. Behavior Intention to Use | 3.99 | 0.78 | 0.693 ** | 0.673 ** | 0.790 ** | 1 | ||
5. New Environmental Paradigm | 4.69 | 0.55 | 0.150 ** | 0.170 ** | 0.265 ** | 0.190 ** | 1 | |
6. Environmental Behavior | 3.79 | 1.08 | 0.201 ** | 0.151 ** | 0.276 ** | 0.223 ** | 0.218 ** | 1 |
Path | Standardized Regression Weight | t-Value | R-Squared | Hypothesis |
---|---|---|---|---|
Directed effect of the integrative model | ||||
PU → ATU (γ11) | 0.844 | 4.722 *** | H1 * | |
PEU → ATU (γ12) | 0.288 | 2.874 ** | H2 * | |
NEP → ATU (γ13) | 0.161 | 2.602 ** | H3 * | |
EB → ATU (γ14) | 0.084 | 2.904 ** | 0.562 | H4 * |
ATU → BIU (β12) | 0.678 | 8.157 *** | 0.624 | H5 * |
χ2/df = 1.996, GFI = 0.934, AGFI = 0.906, NFI = 0.953, RFI = 0.940, IFI = 0.976, CFI = 0. 976, SRMR = 0.032, RMSEA = 0.052 |
95% Confidence Interval | ||||
---|---|---|---|---|
Estimate | BC/PC p-Value | BC | PC | |
Indirect effect | ||||
PU → ATU → BIU | 0.332 | 0.002/0.004 | 0.166~0.562 | 0.140~0.534 |
PEU → ATU → BIU | 0.187 | 0.072/0.088 | −0.016~0.446 | −0.026~0.430 |
NEP → ATU → BIU | 0.070 | 0.008/0.013 | 0.021~0.146 | 0.017~0.138 |
EB → ATU → BIU | 0.079 | 0.014/0.017 | 0.012~0.164 | 0.010~0.161 |
Direct effect | ||||
PU → BIU | 0.352 | 0.012/0.014 | 0.088~0.755 | 0.085~0.748 |
PEU → BIU | −0.030 | 0.761/0.792 | −0.311~0.178 | −0.306~0.183 |
NEP → BIU | −0.025 | 0.444/0.396 | −0.086~0.041 | −0.091~0.038 |
EB → BIU | −0.044 | 0.291/0.296 | −0.126~0.039 | −0.125~0.040 |
Total effect | ||||
PU → BIU | 0.684 | 0.001/0.001 | 0.367~1.106 | 0.354~1.093 |
PEU → BIU | 0.157 | 0.447/0.364 | −0.268~0.447 | −0.230~0.474 |
NEP → BIU | 0.045 | 0.230/0.263 | −0.029~0.123 | −0.030~0.120 |
EB → BIU | 0.035 | 0.504/0.479 | −0.070~0.127 | −0.069~0.129 |
Path | Mediation Effect | Hypothesis |
---|---|---|
PU → ATU → BIU | Partial mediation | H6 * |
PEU → ATU → BIU | No | H7 |
NEP → ATU → BIU | Full mediation | H8 * |
EB → ATU → BIU | Full mediation | H9 * |
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Ma, C.-C.; Chang, H.-P. The Perception of Consumer Behaviors in Subscription Platforms for Surplus Food Restaurants—An Analytical View of the Technology Acceptance Model. Foods 2024, 13, 3045. https://doi.org/10.3390/foods13193045
Ma C-C, Chang H-P. The Perception of Consumer Behaviors in Subscription Platforms for Surplus Food Restaurants—An Analytical View of the Technology Acceptance Model. Foods. 2024; 13(19):3045. https://doi.org/10.3390/foods13193045
Chicago/Turabian StyleMa, Chun-Chieh, and Hsiao-Ping Chang. 2024. "The Perception of Consumer Behaviors in Subscription Platforms for Surplus Food Restaurants—An Analytical View of the Technology Acceptance Model" Foods 13, no. 19: 3045. https://doi.org/10.3390/foods13193045
APA StyleMa, C.-C., & Chang, H.-P. (2024). The Perception of Consumer Behaviors in Subscription Platforms for Surplus Food Restaurants—An Analytical View of the Technology Acceptance Model. Foods, 13(19), 3045. https://doi.org/10.3390/foods13193045