學術產出-學位論文
文章檢視/開啟
書目匯出
-
題名 如何增加線上顧客的惠顧意願：一個科技接受模型與情感模型的混合模型
How to Increase Online Customer Patronage Intention: A Hybrid Model of Technology Acceptance Model and Emotional Model作者 張瀞方
Jeng-Fang (Fiona), Chang貢獻者 何富年
Ho, Foo-Nin
張瀞方
Jeng-Fang (Fiona), Chang關鍵詞 對購物網站之態度
情感模型
線上購物網站
科技接受模型
顧客惠顧意願
Attitude toward shopping sites
Emotional model
Online shopping sites
Technology acceptance model
Customer patronage intention日期 2022 上傳時間 1-七月-2022 16:16:28 (UTC+8) 摘要 To compete effectively, modern shopping sites should offer innovative services that appeal to more customers and are in accordance with customer wants in order to achieve sustainable development, as these clients are a significant source of business interest and word of mouth. As a result, an increasing number of retail sites are employing emotional clues to improve user experiences. Previous information technology adoption models, on the other hand, virtually completely overlook emotional variables, resulting in an academic gap in forecasting consumer behavior. As a result, this thesis proposes a novel hybrid model based on the technology acceptance model and an emotional model to predict online customer patronage intention. The hybrid model explains how attitudes regarding shopping sites are influenced by the ease of use, usefulness, activation, and pleasure, as well as how it affects patronage intentions. This thesis employs the qualitative research method to collect interview data to verify the proposed hybrid model, and the analysis results support all propositions. These analysis results can advance the literature on information technology adoption models from a novel emotional perspective, and assist online vendors in realizing profits through the hybrid model in this thesis. 參考文獻 Ajzen, I (1985). From intentions to actions: A theory of planned behavior. In Kuhl J.; Beckmann J. (Eds.), Springer series in social psychology (pp. 11-39). Berlin, DE: Springer.Alkhalifah A and Bukar UA (2022) Examining the Prediction of COVID-19 Contact-Tracing App Adoption Using an Integrated Model and Hybrid Approach Analysis. Front. Public Health 10:847184. doi: 10.3389/fpubh.2022.847184Almulla, MA (2022). Using Digital Technologies for Testing Online Teaching Skills and Competencies during the COVID-19 Pandemic. Sustainability, 14: 5455. https://doi.org/10.3390/su14095455Al-Rahmi AM, Al-Rahmi WM, Alturki U, Aldraiweesh A, Almutairy S, Al-Adwan AS (2021). Exploring the Factors Affecting Mobile Learning for Sustainability in Higher Education. Sustainability. 13(14):7893.Alyoussef IY. 2021. E-Learning Acceptance: The Role of Task–Technology Fit as Sustainability in Higher Education. Sustainability. 13(11):6450. https://doi.org/10.3390/su13116450Anser MK, Yousaf Z and Zaman K (2020) Green Technology Acceptance Model and Green Logistics Operations: “To See Which Way the Wind Is Blowing”. Front. Sustain. 1:3. doi: 10.3389/frsus.2020.00003Avotra AARN, Chengang Y, Wei X, Ming J and Marcelline TRS (2021) Struggling With Business Corporate Cynical Impression? Powerful Methods of CSR to Enhance Corporate Image and Consumer Purchase Intention. Front. Public Health 9:726727. doi: 10.3389/fpubh.2021.726727Bauerová R, Braciníková V. (2021). Customer’s Choice of Purchasing Channel: Do Channel Characteristic, Brand, and Loyalty Matter When Shopping in Hybrid Retailers? Sustainability. 13(5):2453. https://doi.org/10.3390/su13052453Bernard, RH (2012). Social research methods: Qualitative and quantitative approaches (2nd ed.). Thousand Oaks, CA: Sage.Bilal M, Jianqiu Z, Dukhaykh S, Fan M, Trunk A. (2021). Understanding the Effects of eWOM Antecedents on Online Purchase Intention in China. Information. 12(5):192. https://doi.org/10.3390/info12050192Blanke J, Billieux J and Vögele C (2022) Healthy and Sustainable Food Shopping: A Survey of Intentions and Motivations. Front. Nutr. 9:742614. doi: 10.3389/fnut.2022.742614Canova L, Bobbio A and Manganelli AM (2020) Buying Organic Food Products: The Role of Trust in the Theory of Planned Behavior. Front. Psychol. 11:575820. doi: 10.3389/fpsyg.2020.575820Capasa, L.; Zulauf, K.; Wagner, R. Virtual Reality Experience of Mega Sports Events: A Technology Acceptance Study. J. Theor. Appl. Electron. Commer. Res. 2022, 17, 686-703. https://doi.org/10.3390/jtaer17020036Chen J and Liao J (2022) Antecedents of Viewers’ Live Streaming Watching: A Perspective of Social Presence Theory. Front. Psychol. 13:839629. doi: 10.3389/fpsyg.2022.839629Chevalier, S. (2022). Global retail e-commerce sales 2014-2025. Statista. https://www.statista.com/statistics/379046/worldwide-retail-e-commerce-sales/#statisticContainerDavis, F D (1986). A technology acceptance model for empiri- cally testing new end-user information systems: theory and results. Doctoral dissertation. MIT Sloan School of Management, Cambridge, MADavis FD, Bagozzi, RP, Warshaw, PR (1989). User acceptance of computer technology: A comparison of two theoretical models. Manage. Sci. 35(8), 982–1003.Ebrahimi P, Salamzadeh A, Soleimani M, Khansari SM, Zarea H, Fekete-Farkas M (2022). Startups and Consumer Purchase Behavior: Application of Support Vector Machine Algorithm. Big Data and Cognitive Computing. 6(2):34.Fan J and Dong L (2021) A Study on Improving Customer Value Based on the Effect of Word of Mouth. Front. Psychol. 12:628665. doi: 10.3389/fpsyg.2021.628665Fishbein, M, Ajzen, I (1975). Belief, attitude, intention, and behavior: An introduction to theory and research; Addison-Wesley Pub. Co: Ontario, CA.Ferreira MC., Oliveira M., Dias, TG (2022). To Use or Not to Use? Investigating What Drives Tourists to Use Mobile Ticketing Services in Tourism. Sustainability, 14: 6622. https://doi.org/10.3390/su14116622Frijda NH, Ridderinkhof KR and Rietveld E (2014) Impulsive action: Emotional impulses and their control. Front. Psychol. 5:518. doi: 10.3389/fpsyg.2014.00518Gronmo, S (2020), Social Research Methods: Qualitative, Quantitative and Mixed Approaches, SAGE, London.Guo L-X, Lin C-C, Huang P-F, Jhou S-Y, Chen S-C and Tsai F-S (2021) Fuzzy Logic Analysis for Key Factors for Customer Loyalty in E-Shopping Environment. Front. Psychol. 12:742699. doi: 10.3389/fpsyg.2021.742699Han B and Fan H (2021) Salesperson Self-Regulated Learning and Online Customers’ Patronage: An Ambidexterity Perspective. Front. Psychol. 12:795899. doi: 10.3389/fpsyg.2021.795899Ho C-I, Liu Y, Chen M-C. (2022). Factors Influencing Watching and Purchase Intentions on Live Streaming Platforms: From a 7Ps Marketing Mix Perspective. Information. 13(5):239. https://doi.org/10.3390/info13050239Hu S and Zhu Z (2022) Effects of Social Media Usage on Consumers’ Purchase Intention in Social Commerce: A Cross-Cultural Empirical Analysis. Front. Psychol. 13:837752. doi: 10.3389/fpsyg.2022.837752Huang H and Wang Y (2022) How Flow Experience and Self-Efficacy Define Students’ Online Learning Intentions: View From Task Technology Fit (Framework). Front. Psychol. 13:835328. doi: 10.3389/fpsyg.2022.835328Huete-Alcocer N (2017) A Literature Review of Word of Mouth and Electronic Word of Mouth: Implications for Consumer Behavior. Front. Psychol. 8:1256. doi: 10.3389/fpsyg.2017.01256Hussain S, Song X and Niu B (2020) Consumers’ Motivational Involvement in eWOM for Information Adoption: The Mediating Role of Organizational Motives. Front. Psychol. 10:3055. doi: 10.3389/fpsyg.2019.03055Kang S, Kim I and Lee K (2021) Predicting Deviant Behaviors in Sports Using the Extended Theory of Planned Behavior. Front. Psychol. 12:678948. doi: 10.3389/fpsyg.2021.678948Khuong, Nguyen V., Nguyen T.T. Phuong, Nguyen T. Liem, Cao T.M. Thuy, and Tran H. Son. (2022). Factors Affecting the Intention to Use Financial Technology among Vietnamese Youth: Research in the Time of COVID-19 and Beyond. Economies, 10(3), 57.Khuong NV, Phuong NTT, Liem NT, Thuy CTM, Son TH. (2022). Factors Affecting the Intention to Use Financial Technology among Vietnamese Youth: Research in the Time of COVID-19 and Beyond. Economies. 10(3):57. https://doi.org/10.3390/economies10030057Klemichen A, Peters I and Stark R (2022) Sustainable in Action: From Intention to Environmentally Friendly Practices in Makerspaces Based on the Theory of Reasoned Action. Front. Sustain. 2:675333. doi: 10.3389/frsus.2021.675333Lee, J.-H.; Lee, C.-F. Extension of TAM by Perceived Interactivity to Understand Usage Behaviors on ACG Social Media Sites. Sustainability 2019, 11, 5723. https://doi.org/10.3390/su11205723Li B, Hu M, Chen X and Lei Y (2021) The Moderating Role of Anticipated Regret and Product Involvement on Online Impulsive Buying Behavior. Front. Psychol. 12:732459. doi: 10.3389/fpsyg.2021.732459Li J and Liang X (2022) Reviewers’ Identity Cues in Online Product Reviews and Consumers’ Purchase Intention. Front. Psychol. 12:784173. doi: 10.3389/fpsyg.2021.784173Li M, Wang Q and Cao Y (2022) Understanding Consumer Online Impulse Buying in Live Streaming E-Commerce: A Stimulus-Organism-Response Framework. Int. J. Environ. Res. Public Health, 19, 4378. https://doi.org/10.3390/ijerph1907437Limei C and Wei L (2020) The Impact of Reviewers` Creditworthiness on Consumers` Purchase Intention in Edge Path: Implications for the Coronavirus Disease 2019 Pandemic. Front. Public Health 8:619263. doi: 10.3389/fpubh.2020.619263Lo J-H, Lai Y-F, Hsu T-L (2021). The Study of AR-Based Learning for Natural Science Inquiry Activities in Taiwan’s Elementary School from the Perspective of Sustainable Development. Sustainability. 13(11):6283.Mandolfo M and Lamberti L (2021) Past, Present, and Future of Impulse Buying Research Methods: A Systematic Literature Review. Front. Psychol. 12:687404.Mathew AO, Jha AN, Lingappa AK, Sinha P (2021). Attitude towards Drone Food Delivery Services—Role of Innovativeness, Perceived Risk, and Green Image. Journal of Open Innovation: Technology, Market, and Complexity. 7(2):144.Mazhar M, Ting DH, Hussain A, Nadeem MA, Ali MA and Tariq U (2022) The Role of Service Recovery in Post-purchase Consumer Behavior During COVID-19: A Malaysian Perspective. Front. Psychol. 12:786603. doi: 10.3389/fpsyg.2021.786603Mortenson MJ, and Vidgen, R (2016). A computational literature review of the technology acceptance model International Journal of Information Management, 36 (6) (2016), pp. 1248-1259.Nazir M and Tian J (2022) The Influence of Consumers’ Purchase Intention Factors on Willingness to Pay for Renewable Energy; Mediating Effect of Attitude. Front. Energy Res. 10:837007. doi: 10.3389/fenrg.2022.837007Ndubisi, NO (2006). Factors of online learning adoption: A comparative juxtaposition of the theory of planned behavior and the technology acceptance model. International Journal on E-Learning, 5(4), 571–591.Nishimura N, Tanahashi K, Suganuma K, Miyama MJ and Ohzeki M (2019) Item Listing Optimization for E-Commerce Websites Based on Diversity. Front. Comput. Sci. 1:2. doi: 10.3389/fcomp.2019.00002Osman R and Hwang F (2021) E-Commerce Design by Older Adults: The Selection and Placement of Web Objects on Shopping Sites. Front. Comput. Sci. 3:631241. doi: 10.3389/fcomp.2021.631241Pakurár M, Haddad H, Nagy J, Popp J, Oláh J (2019). The Service Quality Dimensions that Affect Customer Satisfaction in the Jordanian Banking Sector. Sustainability. 11(4):1113.Pan X (2020) Technology Acceptance, Technological Self-Efficacy, and Attitude Toward Technology-Based Self-Directed Learning: Learning Motivation as a Mediator. Front. Psychol. 11:564294. doi: 10.3389/fpsyg.2020.564294Pelegrín-Borondo J, Reinares-Lara E, Olarte-Pascual C and Garcia-Sierra M (2016) Assessing the Moderating Effect of the End User in Consumer Behavior: The Acceptance of Technological Implants to Increase Innate Human Capacities. Front. Psychol. 7:132. doi: 10.3389/fpsyg.2016.00132Peng MY-P and Yan X (2022) Exploring the Influence of Determinants on Behavior Intention to Use of Multiple Media Kiosks Through Technology Readiness and Acceptance Model. Front. Psychol. 13:852394. doi: 10.3389/fpsyg.2022.852394Posner J, Russell J.A, Peterson BS (2005). The circumplex model of affect: an integrative approach to affective neuroscience, cognitive development, and psychopathology Dev. Psychopathol. 17, pp. 715-734Qi X, Tian X, Ploeger A (2021). Exploring Chinese Consumers’ Online Purchase Intentions toward Certified Food Products during the COVID-19 Pandemic. Foods. 10(11):2729.Saleem A, Aslam J, Kim YB, Nauman S, Khan NT. Motives towards e-Shopping Adoption among Pakistani Consumers: An Application of the Technology Acceptance Model and Theory of Reasoned Action. Sustainability. 2022; 14(7):4180. https://doi.org/10.3390/su14074180Santosa AA, Prasetyo YT, Alamsjah F, Redi AANP, Gunawan I, Putra AR, Persada SF, Nadlifatin R. (2022). How the COVID-19 Pandemic Affected the Sustainable Adoption of Digital Signature: An Integrated Factors Analysis Model. Sustainability. 14(7):4281. https://doi.org/10.3390/su14074281Shi P, Lu X, Zhou Y, Sun C, Wang L and Geng B (2021) Online Star vs. Celebrity Endorsements: The Role of Self-Concept and Advertising Appeal in Influencing Purchase Intention. Front. Psychol. 12:736883. doi: 10.3389/fpsyg.2021.736883Sidek N., Ali N., Alkawsi, G (2022). An Integrated Success Model of Internet of Things (IoT)-Based Services in Facilities Management for Public Sector. Sensors, 22, 3207. https://doi.org/10.3390/s22093207SivaKumar, A, and Gunasekaran A (2017). An empirical study on the factors affecting online shopping behavior of millennial consumers. Journal of Internet Commerce. 16 (2):219–230.Songkram N and Osuwan H. (2022). Applying the Technology Acceptance Model to Elucidate K-12 Teachers’ Use of Digital Learning Platforms in Thailand during the COVID-19 Pandemic. Sustainability, 14, 6027. https://doi.org/10.3390/su14106027Sun W, Gao W and Geng R (2021) The Impact of the Interactivity of Internet Celebrity Anchors on Consumers’ Purchase Intention. Front. Psychol. 12:757059. doi: 10.3389/fpsyg.2021.757059Venkatesh, V, Davis, FD (1996). A model of antecedents of perceived ease of use: development and test. Decision Sciences. 27(3), 451–481 (1996).Venkatesh, V (2000). Determinants of perceived ease of use: integrating control, intrinsic motivation, and emotion into the technology acceptance model. Information Systems Research. 11(4), 342–365.Wang S, Chen Z, Xiao Y and Lin C (2021) Consumer Privacy Protection With the Growth of AI-Empowered Online Shopping Based on the Evolutionary Game Model. Front. Public Health 9:705777. doi: 10.3389/fpubh.2021.705777Wang LC, Baker J, Wagner JA (2007). et al. Can a retail web site be social? Journal of Marketing. 71, 143–157.Wang Q, Kou Z, Du Y, Wang K and Xu Y (2022) Academic Procrastination and Negative Emotions Among Adolescents During the COVID-19 Pandemic: The Mediating and Buffering Effects of Online-Shopping Addiction. Front. Psychol. 12:789505.Wang T, Sun Y and Liao S (2022) Physical Self Matters: How the Dual Nature of Body Image Influences Smart Watch Purchase Intention. Front. Psychol. 13:846491. doi: 10.3389/fpsyg.2022.846491Warganegara DL, Babolian Hendijani R. Factors That Drive Actual Purchasing of Groceries through E-Commerce Platforms during COVID-19 in Indonesia. Sustainability. 2022; 14(6):3235.Wei J, Wang Z, Hou Z and Meng Y (2022) The Influence of Empathy and Consumer Forgiveness on the Service Recovery Effect of Online Shopping. Front. Psychol. 13:842207. doi: 10.3389/fpsyg.2022.842207Wu XH and Yuan C (2022) Research on Improving Online Purchase Intention of Poverty-Alleviation Agricultural Products in China: From the Perspective of Institution-Based Trust. Front. Psychol. 13:900328. doi: 10.3389/fpsyg.2022.900328Wu J, Wang F, Liu L and Shin D (2020) Effect of Online Product Presentation on the Purchase Intention of Wearable Devices: The Role of Mental Imagery and Individualism–Collectivism. Front. Psychol. 11:56. doi: 10.3389/fpsyg.2020.00056Xu Y, Chen Z, Peng MY-P and Anser M.K. (2020) Enhancing Consumer Online Purchase Intention Through Gamification in China: Perspective of Cognitive Evaluation Theory. Front. Psychol. 11:581200.Xu P, Cui B-j and Lyu B (2022) Influence of Streamer`s Social Capital on Purchase Intention in Live Streaming E-Commerce. Front. Psychol. 12:748172. doi: 10.3389/fpsyg.2021.748172Xu X, Wang L, Zhao K (2020). Exploring Determinants of Consumers’ Platform Usage in “Double Eleven” Shopping Carnival in China: Cognition and Emotion from an Integrated Perspective. Sustainability; 12(7):2790.Xue J, Zhou Z, Zhang L and Majeed S (2020) Do Brand Competence and Warmth Always Influence Purchase Intention? The Moderating Role of Gender. Front. Psychol. 11:248. doi: 10.3389/fpsyg.2020.00248Ye S, Liu Y, Gu S and Chen H (2021) Give Goods or Give Money? The Influence of Cause-Related Marketing Approach on Consumers’ Purchase Intention. Front. Psychol. 11:533445. doi: 10.3389/fpsyg.2020.533445Zheng, N., Chen, Y. (2011). Analysis on the Factors of Affecting the Sticky Behavior of Net Users. In: Zhou, Q. (eds) Advances in Applied Economics, Business and Development. ISAEBD 2011. Communications in Computer and Information Science, vol 209. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23020-2_63Zhang, Y., Shao, B (2018). The Effect of Customer Participation Types on Online Recovery Satisfaction: A Mental Accounting Perspective. Future Internet. 10, 97.Zhao X, Shi C, You X and Zong C (2017) Analysis of Mental Workload in Online Shopping: Are Augmented and Virtual Reality Consistent? Front. Psychol. 8:71.Zhao S-k and Cai J-m (2022) The Influence of Guanxi Between Boundary Spanners on Opportunistic Behaviors Based on the Theory of Reasoned Action Model. Front. Psychol. 13:851780. doi: 10.3389/fpsyg.2022.851780Zhou R and Tong L (2022) A Study on the Influencing Factors of Consumers` Purchase Intention During Livestreaming e-Commerce: The Mediating Effect of Emotion. Front. Psychol. 13:903023. doi: 10.3389/fpsyg.2022.903023Zia, A., Alzahrani, M., Alomari, A., AlGhamdi, F (2022). Investigating the Drivers of Sustainable Consumption and Their Impact on Online Purchase Intentions for Agricultural Products. Sustainability, 14, 6563. https://doi.org/10.3390/su14116563 描述 碩士
國立政治大學
國際經營管理英語碩士學位學程(IMBA)
108933005資料來源 http://thesis.lib.nccu.edu.tw/record/#G0108933005 資料類型 thesis dc.contributor.advisor 何富年 zh_TW dc.contributor.advisor Ho, Foo-Nin en_US dc.contributor.author (作者) 張瀞方 zh_TW dc.contributor.author (作者) Jeng-Fang (Fiona), Chang en_US dc.creator (作者) 張瀞方 zh_TW dc.creator (作者) Jeng-Fang (Fiona), Chang en_US dc.date (日期) 2022 en_US dc.date.accessioned 1-七月-2022 16:16:28 (UTC+8) - dc.date.available 1-七月-2022 16:16:28 (UTC+8) - dc.date.issued (上傳時間) 1-七月-2022 16:16:28 (UTC+8) - dc.identifier (其他 識別碼) G0108933005 en_US dc.identifier.uri (URI) http://nccur.lib.nccu.edu.tw/handle/140.119/140630 - dc.description (描述) 碩士 zh_TW dc.description (描述) 國立政治大學 zh_TW dc.description (描述) 國際經營管理英語碩士學位學程(IMBA) zh_TW dc.description (描述) 108933005 zh_TW dc.description.abstract (摘要) To compete effectively, modern shopping sites should offer innovative services that appeal to more customers and are in accordance with customer wants in order to achieve sustainable development, as these clients are a significant source of business interest and word of mouth. As a result, an increasing number of retail sites are employing emotional clues to improve user experiences. Previous information technology adoption models, on the other hand, virtually completely overlook emotional variables, resulting in an academic gap in forecasting consumer behavior. As a result, this thesis proposes a novel hybrid model based on the technology acceptance model and an emotional model to predict online customer patronage intention. The hybrid model explains how attitudes regarding shopping sites are influenced by the ease of use, usefulness, activation, and pleasure, as well as how it affects patronage intentions. This thesis employs the qualitative research method to collect interview data to verify the proposed hybrid model, and the analysis results support all propositions. These analysis results can advance the literature on information technology adoption models from a novel emotional perspective, and assist online vendors in realizing profits through the hybrid model in this thesis. en_US dc.description.tableofcontents 1. Introduction 11.1. Research Background and Motivation 11.2. Research Problem and Purpose 21.3. Research Process 32. Literature Review 52.1. The Technology Acceptance Model 52.1.1. The Origin of the Technology Acceptance Model 52.1.2. Application of Technology Acceptance Model and Gaps 102.2. The Emotional Model 122.3. A Customer Buying Model 132.3.1. A Hybrid Model of Technology Acceptance Model and Emotional Model 132.3.2. Inferring the Propositions between Variables in the Hybrid Model 143. Research Methodology 173.1. Research Approach 173.1.1. Qualitative Research Method 173.2. Data Collection Method 183.2.1. Semi-Structured Interview 183.2.2. Interview Sample Profile 193.2.3. Interview Outline 204. Data Analysis 224.1. Data Analysis and Propositions Verification 224.2. Proposition Verification 275. Conclusions & Recommendations 295.1. Conclusions 295.2. Recommendations 30References 33 zh_TW dc.format.extent 1211035 bytes - dc.format.mimetype application/pdf - dc.source.uri (資料來源) http://thesis.lib.nccu.edu.tw/record/#G0108933005 en_US dc.subject (關鍵詞) 對購物網站之態度 zh_TW dc.subject (關鍵詞) 情感模型 zh_TW dc.subject (關鍵詞) 線上購物網站 zh_TW dc.subject (關鍵詞) 科技接受模型 zh_TW dc.subject (關鍵詞) 顧客惠顧意願 zh_TW dc.subject (關鍵詞) Attitude toward shopping sites en_US dc.subject (關鍵詞) Emotional model en_US dc.subject (關鍵詞) Online shopping sites en_US dc.subject (關鍵詞) Technology acceptance model en_US dc.subject (關鍵詞) Customer patronage intention en_US dc.title (題名) 如何增加線上顧客的惠顧意願：一個科技接受模型與情感模型的混合模型 zh_TW dc.title (題名) How to Increase Online Customer Patronage Intention: A Hybrid Model of Technology Acceptance Model and Emotional Model en_US dc.type (資料類型) thesis en_US dc.relation.reference (參考文獻) Ajzen, I (1985). From intentions to actions: A theory of planned behavior. In Kuhl J.; Beckmann J. (Eds.), Springer series in social psychology (pp. 11-39). Berlin, DE: Springer.Alkhalifah A and Bukar UA (2022) Examining the Prediction of COVID-19 Contact-Tracing App Adoption Using an Integrated Model and Hybrid Approach Analysis. Front. Public Health 10:847184. doi: 10.3389/fpubh.2022.847184Almulla, MA (2022). Using Digital Technologies for Testing Online Teaching Skills and Competencies during the COVID-19 Pandemic. Sustainability, 14: 5455. https://doi.org/10.3390/su14095455Al-Rahmi AM, Al-Rahmi WM, Alturki U, Aldraiweesh A, Almutairy S, Al-Adwan AS (2021). Exploring the Factors Affecting Mobile Learning for Sustainability in Higher Education. Sustainability. 13(14):7893.Alyoussef IY. 2021. E-Learning Acceptance: The Role of Task–Technology Fit as Sustainability in Higher Education. Sustainability. 13(11):6450. https://doi.org/10.3390/su13116450Anser MK, Yousaf Z and Zaman K (2020) Green Technology Acceptance Model and Green Logistics Operations: “To See Which Way the Wind Is Blowing”. Front. Sustain. 1:3. doi: 10.3389/frsus.2020.00003Avotra AARN, Chengang Y, Wei X, Ming J and Marcelline TRS (2021) Struggling With Business Corporate Cynical Impression? Powerful Methods of CSR to Enhance Corporate Image and Consumer Purchase Intention. Front. Public Health 9:726727. doi: 10.3389/fpubh.2021.726727Bauerová R, Braciníková V. (2021). Customer’s Choice of Purchasing Channel: Do Channel Characteristic, Brand, and Loyalty Matter When Shopping in Hybrid Retailers? Sustainability. 13(5):2453. https://doi.org/10.3390/su13052453Bernard, RH (2012). Social research methods: Qualitative and quantitative approaches (2nd ed.). Thousand Oaks, CA: Sage.Bilal M, Jianqiu Z, Dukhaykh S, Fan M, Trunk A. (2021). Understanding the Effects of eWOM Antecedents on Online Purchase Intention in China. Information. 12(5):192. https://doi.org/10.3390/info12050192Blanke J, Billieux J and Vögele C (2022) Healthy and Sustainable Food Shopping: A Survey of Intentions and Motivations. Front. Nutr. 9:742614. doi: 10.3389/fnut.2022.742614Canova L, Bobbio A and Manganelli AM (2020) Buying Organic Food Products: The Role of Trust in the Theory of Planned Behavior. Front. Psychol. 11:575820. doi: 10.3389/fpsyg.2020.575820Capasa, L.; Zulauf, K.; Wagner, R. Virtual Reality Experience of Mega Sports Events: A Technology Acceptance Study. J. Theor. Appl. Electron. Commer. Res. 2022, 17, 686-703. https://doi.org/10.3390/jtaer17020036Chen J and Liao J (2022) Antecedents of Viewers’ Live Streaming Watching: A Perspective of Social Presence Theory. Front. Psychol. 13:839629. doi: 10.3389/fpsyg.2022.839629Chevalier, S. (2022). Global retail e-commerce sales 2014-2025. Statista. https://www.statista.com/statistics/379046/worldwide-retail-e-commerce-sales/#statisticContainerDavis, F D (1986). A technology acceptance model for empiri- cally testing new end-user information systems: theory and results. Doctoral dissertation. MIT Sloan School of Management, Cambridge, MADavis FD, Bagozzi, RP, Warshaw, PR (1989). User acceptance of computer technology: A comparison of two theoretical models. Manage. Sci. 35(8), 982–1003.Ebrahimi P, Salamzadeh A, Soleimani M, Khansari SM, Zarea H, Fekete-Farkas M (2022). Startups and Consumer Purchase Behavior: Application of Support Vector Machine Algorithm. Big Data and Cognitive Computing. 6(2):34.Fan J and Dong L (2021) A Study on Improving Customer Value Based on the Effect of Word of Mouth. Front. Psychol. 12:628665. doi: 10.3389/fpsyg.2021.628665Fishbein, M, Ajzen, I (1975). Belief, attitude, intention, and behavior: An introduction to theory and research; Addison-Wesley Pub. Co: Ontario, CA.Ferreira MC., Oliveira M., Dias, TG (2022). To Use or Not to Use? Investigating What Drives Tourists to Use Mobile Ticketing Services in Tourism. Sustainability, 14: 6622. https://doi.org/10.3390/su14116622Frijda NH, Ridderinkhof KR and Rietveld E (2014) Impulsive action: Emotional impulses and their control. Front. Psychol. 5:518. doi: 10.3389/fpsyg.2014.00518Gronmo, S (2020), Social Research Methods: Qualitative, Quantitative and Mixed Approaches, SAGE, London.Guo L-X, Lin C-C, Huang P-F, Jhou S-Y, Chen S-C and Tsai F-S (2021) Fuzzy Logic Analysis for Key Factors for Customer Loyalty in E-Shopping Environment. Front. Psychol. 12:742699. doi: 10.3389/fpsyg.2021.742699Han B and Fan H (2021) Salesperson Self-Regulated Learning and Online Customers’ Patronage: An Ambidexterity Perspective. Front. Psychol. 12:795899. doi: 10.3389/fpsyg.2021.795899Ho C-I, Liu Y, Chen M-C. (2022). Factors Influencing Watching and Purchase Intentions on Live Streaming Platforms: From a 7Ps Marketing Mix Perspective. Information. 13(5):239. https://doi.org/10.3390/info13050239Hu S and Zhu Z (2022) Effects of Social Media Usage on Consumers’ Purchase Intention in Social Commerce: A Cross-Cultural Empirical Analysis. Front. Psychol. 13:837752. doi: 10.3389/fpsyg.2022.837752Huang H and Wang Y (2022) How Flow Experience and Self-Efficacy Define Students’ Online Learning Intentions: View From Task Technology Fit (Framework). Front. Psychol. 13:835328. doi: 10.3389/fpsyg.2022.835328Huete-Alcocer N (2017) A Literature Review of Word of Mouth and Electronic Word of Mouth: Implications for Consumer Behavior. Front. Psychol. 8:1256. doi: 10.3389/fpsyg.2017.01256Hussain S, Song X and Niu B (2020) Consumers’ Motivational Involvement in eWOM for Information Adoption: The Mediating Role of Organizational Motives. Front. Psychol. 10:3055. doi: 10.3389/fpsyg.2019.03055Kang S, Kim I and Lee K (2021) Predicting Deviant Behaviors in Sports Using the Extended Theory of Planned Behavior. Front. Psychol. 12:678948. doi: 10.3389/fpsyg.2021.678948Khuong, Nguyen V., Nguyen T.T. Phuong, Nguyen T. Liem, Cao T.M. Thuy, and Tran H. Son. (2022). Factors Affecting the Intention to Use Financial Technology among Vietnamese Youth: Research in the Time of COVID-19 and Beyond. Economies, 10(3), 57.Khuong NV, Phuong NTT, Liem NT, Thuy CTM, Son TH. (2022). Factors Affecting the Intention to Use Financial Technology among Vietnamese Youth: Research in the Time of COVID-19 and Beyond. Economies. 10(3):57. https://doi.org/10.3390/economies10030057Klemichen A, Peters I and Stark R (2022) Sustainable in Action: From Intention to Environmentally Friendly Practices in Makerspaces Based on the Theory of Reasoned Action. Front. Sustain. 2:675333. doi: 10.3389/frsus.2021.675333Lee, J.-H.; Lee, C.-F. Extension of TAM by Perceived Interactivity to Understand Usage Behaviors on ACG Social Media Sites. Sustainability 2019, 11, 5723. https://doi.org/10.3390/su11205723Li B, Hu M, Chen X and Lei Y (2021) The Moderating Role of Anticipated Regret and Product Involvement on Online Impulsive Buying Behavior. Front. Psychol. 12:732459. doi: 10.3389/fpsyg.2021.732459Li J and Liang X (2022) Reviewers’ Identity Cues in Online Product Reviews and Consumers’ Purchase Intention. Front. Psychol. 12:784173. doi: 10.3389/fpsyg.2021.784173Li M, Wang Q and Cao Y (2022) Understanding Consumer Online Impulse Buying in Live Streaming E-Commerce: A Stimulus-Organism-Response Framework. Int. J. Environ. Res. Public Health, 19, 4378. https://doi.org/10.3390/ijerph1907437Limei C and Wei L (2020) The Impact of Reviewers` Creditworthiness on Consumers` Purchase Intention in Edge Path: Implications for the Coronavirus Disease 2019 Pandemic. Front. Public Health 8:619263. doi: 10.3389/fpubh.2020.619263Lo J-H, Lai Y-F, Hsu T-L (2021). The Study of AR-Based Learning for Natural Science Inquiry Activities in Taiwan’s Elementary School from the Perspective of Sustainable Development. Sustainability. 13(11):6283.Mandolfo M and Lamberti L (2021) Past, Present, and Future of Impulse Buying Research Methods: A Systematic Literature Review. Front. Psychol. 12:687404.Mathew AO, Jha AN, Lingappa AK, Sinha P (2021). Attitude towards Drone Food Delivery Services—Role of Innovativeness, Perceived Risk, and Green Image. Journal of Open Innovation: Technology, Market, and Complexity. 7(2):144.Mazhar M, Ting DH, Hussain A, Nadeem MA, Ali MA and Tariq U (2022) The Role of Service Recovery in Post-purchase Consumer Behavior During COVID-19: A Malaysian Perspective. Front. Psychol. 12:786603. doi: 10.3389/fpsyg.2021.786603Mortenson MJ, and Vidgen, R (2016). A computational literature review of the technology acceptance model International Journal of Information Management, 36 (6) (2016), pp. 1248-1259.Nazir M and Tian J (2022) The Influence of Consumers’ Purchase Intention Factors on Willingness to Pay for Renewable Energy; Mediating Effect of Attitude. Front. Energy Res. 10:837007. doi: 10.3389/fenrg.2022.837007Ndubisi, NO (2006). Factors of online learning adoption: A comparative juxtaposition of the theory of planned behavior and the technology acceptance model. International Journal on E-Learning, 5(4), 571–591.Nishimura N, Tanahashi K, Suganuma K, Miyama MJ and Ohzeki M (2019) Item Listing Optimization for E-Commerce Websites Based on Diversity. Front. Comput. Sci. 1:2. doi: 10.3389/fcomp.2019.00002Osman R and Hwang F (2021) E-Commerce Design by Older Adults: The Selection and Placement of Web Objects on Shopping Sites. Front. Comput. Sci. 3:631241. doi: 10.3389/fcomp.2021.631241Pakurár M, Haddad H, Nagy J, Popp J, Oláh J (2019). The Service Quality Dimensions that Affect Customer Satisfaction in the Jordanian Banking Sector. Sustainability. 11(4):1113.Pan X (2020) Technology Acceptance, Technological Self-Efficacy, and Attitude Toward Technology-Based Self-Directed Learning: Learning Motivation as a Mediator. Front. Psychol. 11:564294. doi: 10.3389/fpsyg.2020.564294Pelegrín-Borondo J, Reinares-Lara E, Olarte-Pascual C and Garcia-Sierra M (2016) Assessing the Moderating Effect of the End User in Consumer Behavior: The Acceptance of Technological Implants to Increase Innate Human Capacities. Front. Psychol. 7:132. doi: 10.3389/fpsyg.2016.00132Peng MY-P and Yan X (2022) Exploring the Influence of Determinants on Behavior Intention to Use of Multiple Media Kiosks Through Technology Readiness and Acceptance Model. Front. Psychol. 13:852394. doi: 10.3389/fpsyg.2022.852394Posner J, Russell J.A, Peterson BS (2005). The circumplex model of affect: an integrative approach to affective neuroscience, cognitive development, and psychopathology Dev. Psychopathol. 17, pp. 715-734Qi X, Tian X, Ploeger A (2021). Exploring Chinese Consumers’ Online Purchase Intentions toward Certified Food Products during the COVID-19 Pandemic. Foods. 10(11):2729.Saleem A, Aslam J, Kim YB, Nauman S, Khan NT. Motives towards e-Shopping Adoption among Pakistani Consumers: An Application of the Technology Acceptance Model and Theory of Reasoned Action. Sustainability. 2022; 14(7):4180. https://doi.org/10.3390/su14074180Santosa AA, Prasetyo YT, Alamsjah F, Redi AANP, Gunawan I, Putra AR, Persada SF, Nadlifatin R. (2022). How the COVID-19 Pandemic Affected the Sustainable Adoption of Digital Signature: An Integrated Factors Analysis Model. Sustainability. 14(7):4281. https://doi.org/10.3390/su14074281Shi P, Lu X, Zhou Y, Sun C, Wang L and Geng B (2021) Online Star vs. Celebrity Endorsements: The Role of Self-Concept and Advertising Appeal in Influencing Purchase Intention. Front. Psychol. 12:736883. doi: 10.3389/fpsyg.2021.736883Sidek N., Ali N., Alkawsi, G (2022). An Integrated Success Model of Internet of Things (IoT)-Based Services in Facilities Management for Public Sector. Sensors, 22, 3207. https://doi.org/10.3390/s22093207SivaKumar, A, and Gunasekaran A (2017). An empirical study on the factors affecting online shopping behavior of millennial consumers. Journal of Internet Commerce. 16 (2):219–230.Songkram N and Osuwan H. (2022). Applying the Technology Acceptance Model to Elucidate K-12 Teachers’ Use of Digital Learning Platforms in Thailand during the COVID-19 Pandemic. Sustainability, 14, 6027. https://doi.org/10.3390/su14106027Sun W, Gao W and Geng R (2021) The Impact of the Interactivity of Internet Celebrity Anchors on Consumers’ Purchase Intention. Front. Psychol. 12:757059. doi: 10.3389/fpsyg.2021.757059Venkatesh, V, Davis, FD (1996). A model of antecedents of perceived ease of use: development and test. Decision Sciences. 27(3), 451–481 (1996).Venkatesh, V (2000). Determinants of perceived ease of use: integrating control, intrinsic motivation, and emotion into the technology acceptance model. Information Systems Research. 11(4), 342–365.Wang S, Chen Z, Xiao Y and Lin C (2021) Consumer Privacy Protection With the Growth of AI-Empowered Online Shopping Based on the Evolutionary Game Model. Front. Public Health 9:705777. doi: 10.3389/fpubh.2021.705777Wang LC, Baker J, Wagner JA (2007). et al. Can a retail web site be social? Journal of Marketing. 71, 143–157.Wang Q, Kou Z, Du Y, Wang K and Xu Y (2022) Academic Procrastination and Negative Emotions Among Adolescents During the COVID-19 Pandemic: The Mediating and Buffering Effects of Online-Shopping Addiction. Front. Psychol. 12:789505.Wang T, Sun Y and Liao S (2022) Physical Self Matters: How the Dual Nature of Body Image Influences Smart Watch Purchase Intention. Front. Psychol. 13:846491. doi: 10.3389/fpsyg.2022.846491Warganegara DL, Babolian Hendijani R. Factors That Drive Actual Purchasing of Groceries through E-Commerce Platforms during COVID-19 in Indonesia. Sustainability. 2022; 14(6):3235.Wei J, Wang Z, Hou Z and Meng Y (2022) The Influence of Empathy and Consumer Forgiveness on the Service Recovery Effect of Online Shopping. Front. Psychol. 13:842207. doi: 10.3389/fpsyg.2022.842207Wu XH and Yuan C (2022) Research on Improving Online Purchase Intention of Poverty-Alleviation Agricultural Products in China: From the Perspective of Institution-Based Trust. Front. Psychol. 13:900328. doi: 10.3389/fpsyg.2022.900328Wu J, Wang F, Liu L and Shin D (2020) Effect of Online Product Presentation on the Purchase Intention of Wearable Devices: The Role of Mental Imagery and Individualism–Collectivism. Front. Psychol. 11:56. doi: 10.3389/fpsyg.2020.00056Xu Y, Chen Z, Peng MY-P and Anser M.K. (2020) Enhancing Consumer Online Purchase Intention Through Gamification in China: Perspective of Cognitive Evaluation Theory. Front. Psychol. 11:581200.Xu P, Cui B-j and Lyu B (2022) Influence of Streamer`s Social Capital on Purchase Intention in Live Streaming E-Commerce. Front. Psychol. 12:748172. doi: 10.3389/fpsyg.2021.748172Xu X, Wang L, Zhao K (2020). Exploring Determinants of Consumers’ Platform Usage in “Double Eleven” Shopping Carnival in China: Cognition and Emotion from an Integrated Perspective. Sustainability; 12(7):2790.Xue J, Zhou Z, Zhang L and Majeed S (2020) Do Brand Competence and Warmth Always Influence Purchase Intention? The Moderating Role of Gender. Front. Psychol. 11:248. doi: 10.3389/fpsyg.2020.00248Ye S, Liu Y, Gu S and Chen H (2021) Give Goods or Give Money? The Influence of Cause-Related Marketing Approach on Consumers’ Purchase Intention. Front. Psychol. 11:533445. doi: 10.3389/fpsyg.2020.533445Zheng, N., Chen, Y. (2011). Analysis on the Factors of Affecting the Sticky Behavior of Net Users. In: Zhou, Q. (eds) Advances in Applied Economics, Business and Development. ISAEBD 2011. Communications in Computer and Information Science, vol 209. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23020-2_63Zhang, Y., Shao, B (2018). The Effect of Customer Participation Types on Online Recovery Satisfaction: A Mental Accounting Perspective. Future Internet. 10, 97.Zhao X, Shi C, You X and Zong C (2017) Analysis of Mental Workload in Online Shopping: Are Augmented and Virtual Reality Consistent? Front. Psychol. 8:71.Zhao S-k and Cai J-m (2022) The Influence of Guanxi Between Boundary Spanners on Opportunistic Behaviors Based on the Theory of Reasoned Action Model. Front. Psychol. 13:851780. doi: 10.3389/fpsyg.2022.851780Zhou R and Tong L (2022) A Study on the Influencing Factors of Consumers` Purchase Intention During Livestreaming e-Commerce: The Mediating Effect of Emotion. Front. Psychol. 13:903023. doi: 10.3389/fpsyg.2022.903023Zia, A., Alzahrani, M., Alomari, A., AlGhamdi, F (2022). Investigating the Drivers of Sustainable Consumption and Their Impact on Online Purchase Intentions for Agricultural Products. Sustainability, 14, 6563. https://doi.org/10.3390/su14116563 zh_TW dc.identifier.doi (DOI) 10.6814/NCCU202200644 en_US
