研究生: |
王思穎 Wang, Shi-Yin |
---|---|
論文名稱: |
影響食物外送服務平台的使用因素與成效之探討 Exploring Adoption Factors of Food Delivery Service Platforms |
指導教授: |
邱于平
Chiu, Yu-Ping |
口試委員: |
謝艾芸
Hsieh, Ai-Yun 張淑楨 Chang, Shu-Chen 邱于平 Chiu, Yu-Ping |
口試日期: | 2023/06/12 |
學位類別: |
碩士 Master |
系所名稱: |
圖文傳播學系碩士在職專班 Department of Graphic Arts and Communications_Continuing Education Master's Program of Graphic Arts and Communications |
論文出版年: | 2023 |
畢業學年度: | 111 |
語文別: | 中文 |
論文頁數: | 57 |
中文關鍵詞: | 食物外送服務平台 、購買意願 、顧客滿意度 、再購意圖 |
英文關鍵詞: | Food Delivery Service Platform, Purchase Intention, Customer Satisfaction, Repurchase Intention |
研究方法: | 調查研究 、 社會網路分析 、 問卷調查法 |
DOI URL: | http://doi.org/10.6345/NTNU202300639 |
論文種類: | 學術論文 |
相關次數: | 點閱:132 下載:10 |
分享至: |
查詢本校圖書館目錄 查詢臺灣博碩士論文知識加值系統 勘誤回報 |
2019年末,新型冠狀病毒(後稱 COVID-19)在全球肆虐,各國政府紛紛制定防疫政策,例如:社交距離、自主隔離及封城等政策,使得人們的生活型態產生改變,消費者無法至餐廳內用或到店外帶,促使食物外送服務平台成為新的飲食習慣。本研究之主要目的為探討食物外送服務平台之何種因素可提升消費者對平台的購買意願及滿意度,進而影響其再購意圖,並以享樂動機、便利性動機、時間節約取向、價格節約取向及先前線上購物經驗作為主要探討的因素。
本研究以問卷調查方式進行施測,透過網路問卷發放,總共回收有效問卷共300份,採以JASP進行統計實證分析。研究結果顯示,時間節約取向、價格節約取向及先前線上購物經驗對購買意願產生正向關聯;且享樂動機、時間節約取向、價格節約取向及先前線上購物經驗對顧客滿意度產生正向關聯;此外,購買意願及顧客滿意度對再購意圖亦產生正向關聯。此研究之發現,在學術上可作為後續研究參考架構,可延伸更多潛在因素,並針對更長遠且持續地再購意圖作為研究方針。此外,在實務上亦可提供食物外送服務平台作為商業模式改善之參考。
By the end of 2019, coronavirus (hereinafter called “COVID-19”) is ravaging the world. The governments formulate policies to prevent epidemics, such as social distance, self-isolation and city closures, etc., which have changed people's lifestyles and prevented them from going to restaurants. Food delivery services have become a new eating habit as a result of this trend. This purpose of this study is to examine what factors in the food delivery service platform can improve consumers' purchase intentions and customer satisfaction, and ultimately their repurchase intentions. Hedonic motivation, convenience motivation, time-saving orientation, price-saving orientation and prior online purchase experience are the major factors in this study.
This study used online questionnaires to explore the factors that affect consumers' purchase intention and customer satisfaction, and ultimately to motivate consumers to continue using the food delivery service platform. In this study, 300 valid questionnaires have been collected online, and JASP have been used for statistical analysis. The results showed that time-saving orientation, price-saving orientation and prior online purchase experience are positively correlated with purchase intention; and hedonic motivation, time-saving orientation, price-saving orientation and prior online purchase experience are positively correlated with customer satisfaction. Furthermore, purchase intention and customer satisfaction also have a positive correlation with repurchase intention. The findings of this study can serve as a basic for a follow up study, allowing them to identify more latent factor and conduct a longer-term study. In addition, these findings can also be used to improving business models for the food delivery services platform.
Al-Debei, M. M., Akroush, M. N., & Ashouri, M. I. (2015). Consumer attitudes towards online shopping: The effects of trust, perceived benefits, and perceived web quality. Internet Research, 25(5), 707-733.
Alavi, S. A., Rezaei, S., Valaei, N., & Wan Ismail, W. K. (2016). Examining shopping mall consumer decision-making styles, satisfaction and purchase intention. The International Review of Retail, Distribution and Consumer Research, 26(3), 272-303.
Alreck, P. L., DiBartolo, G. R., Diriker, M., Dover, H. F., Passyn, K. A., & Settle, R. B. (2009). Time pressure, time saving and online shopping: exploring a contradiction. Journal of Applied Business Research (JABR), 25(5), 85-92.
Alreck, P. L., & Settle, R. B. (2002). The hurried consumer: Time-saving perceptions of Internet and catalogue shopping. Journal of Database Marketing & Customer Strategy Management, 10(1), 25-35.
Anderson, E. W., & Sullivan, M. W. (1993). The antecedents and consequences of customer satisfaction for firms. Marketing science, 12(2), 125-143.
Anderson, R. E., & Srinivasan, S. S. (2003). E‐satisfaction and e‐loyalty: A contingency framework. Psychology & marketing, 20(2), 123-138.
Azjen, I. (1980). Understanding attitudes and predicting social behavior. Englewood Cliffs.
Babin, B. J., Darden, W. R., & Griffin, M. (1994). Work and/or fun: measuring hedonic and utilitarian shopping value. Journal of consumer research, 20(4), 644-656.
Bagozzi, R. P., & Burnkrant, R. E. (1979). Attitude measurement and behavior change: A reconsideration of attitude organization and its relationship to behavior. ACR North American Advances, 6, 295-302.
Bashir, I., & Madhavaiah, C. (2015). Consumer attitude and behavioural intention towards Internet banking adoption in India. Journal of Indian Business Research, 7(3), 66-102.
Bhattacherjee, A. (2001). Understanding information systems continuance: An expectation-confirmation model. MIS quarterly, 25(3), 351-370.
Bilgihan, A. (2016). Gen Y customer loyalty in online shopping: An integrated model of trust, user experience and branding. Computers in Human Behavior, 61, 103-113.
Brown, S. A., & Venkatesh, V. (2005). Model of adoption of technology in households: A baseline model test and extension incorporating household life cycle. MIS quarterly, 29(3), 399-426.
Burt, S., & Sparks, L. (2003). E-commerce and the retail process: a review. Journal of Retailing and Consumer services, 10(5), 275-286.
Cairns, K., Johnston, J., & Baumann, S. (2010). Caring about food: Doing gender in the foodie kitchen. Gender & society, 24(5), 591-615.
Chen, N.-H., & Hung, Y.-W. (2015). Online shopping orientation and purchase behavior for high-touch products. International Journal of Electronic Commerce Studies, 6(2), 187-202.
Childers, T., Carr, C., Peck, J., & Carson, S. (2001). Hedonic and utilitarian motivations for online shopping. 77(4), 511-535.
Childers, T. L., Carr, C. L., Peck, J., & Carson, S. (2001). Hedonic and utilitarian motivations for online retail shopping behavior. Journal of retailing, 77(4), 511-535.
Churchill Jr, G. A., & Surprenant, C. (1982). An investigation into the determinants of customer satisfaction. Journal of marketing research, 19(4), 491-504.
Collier, J. E., & Kimes, S. E. (2013). Only if it is convenient: Understanding how convenience influences self-service technology evaluation. Journal of Service Research, 16(1), 39-51.
Darke, P. R., Freedman, J. L., & Chaiken, S. (1995). Percentage discounts, initial price, and bargain hunting: A heuristic-systematic approach to price search behavior. Journal of Applied Psychology, 80(5), 580-586.
Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS quarterly, 13(3), 319-340.
Delorme, C., Paccoud, O., Kas, A., Hesters, A., Bombois, S., Shambrook, P., . . . Godefroy, N. (2020). COVID‐19‐related encephalopathy: a case series with brain FDG‐positron‐emission tomography/computed tomography findings. European journal of neurology, 27(12), 2651-2657.
Dodds, W. B., Monroe, K. B., & Grewal, D. (1991). Effects of price, brand, and store information on buyers’ product evaluations. Journal of marketing research, 28(3), 307-319.
Escobar-Rodríguez, T., & Carvajal-Trujillo, E. (2013). Online drivers of consumer purchase of website airline tickets. Journal of Air Transport Management, 32, 58-64.
Escobar-Rodríguez, T., & Carvajal-Trujillo, E. (2014). Online purchasing tickets for low cost carriers: An application of the unified theory of acceptance and use of technology (UTAUT) model. Tourism Management, 43, 70-88.
Forsythe, S. M., & Bailey, A. W. (1996). Shopping enjoyment, perceived time poverty, and time spent shopping. Clothing and Textiles Research Journal, 14(3), 185-191.
Ganapathi, R. (2015). A study on factors affecting online shopping behavior of consumers in Chennai. Journal of management research and analysis, 2(2), 123-126.
Gupta, A., & Arora, N. (2017). Understanding determinants and barriers of mobile shopping adoption using behavioral reasoning theory. Journal of Retailing and Consumer services, 36, 1-7.
Hirschberg, C., Rajko, A., Schumacher, T., & Wrulich, M. (2016). The changing market for food delivery. In McKinsey & company. Retrieved from http://dln.jaipuria.ac.in:8080/jspui/bitstream/123456789/2874/1/The-changing-market-for-food-delivery.pdf
Holbrook, M. B., & Hirschman, E. C. (1982). The experiential aspects of consumption: Consumer fantasies, feelings, and fun. Journal of consumer research, 9(2), 132-140.
Howard, J. A., & Sheth, J. N. (1969). The theory of buyer behavior. New York, 63, 145.
Iacobucci, D., Ostrom, A., & Grayson, K. (1995). Distinguishing service quality and customer satisfaction: the voice of the consumer. Journal of consumer psychology, 4(3), 277-303.
Jensen, J. M. (2012). Shopping orientation and online travel shopping: The role of travel experience. International Journal of Tourism Research, 14(1), 56-70.
Jiang, L., Jiang, N., & Liu, S. (2011). Consumer perceptions of e-service convenience: an exploratory study. Procedia Environmental Sciences, 11, 406-410.
Jones, T. O., & Sasser, W. E. (1995). Why satisfied customers defect. Harvard business review, 73(6), 88-92.
Kang, J., & Park‐Poaps, H. (2010). Hedonic and utilitarian shopping motivations of fashion leadership. Journal of Fashion Marketing and Management: An International Journal, 14(2), 312-328.
Keng, C. J., Ting, H. Y., & Chen, Y. T. (2011). Effects of virtual‐experience combinations on consumer‐related “sense of virtual community”. Internet Research, 21(4), 408-434.
Khajehzadeh, S., Oppewal, H., & Tojib, D. (2014). Consumer responses to mobile coupons: The roles of shopping motivation and regulatory fit. Journal of Business Research, 67(11), 2447-2455.
Khalifa, M., & Liu, V. (2007). Online consumer retention: contingent effects of online shopping habit and online shopping experience. European journal of information systems, 16(6), 780-792.
Khalil, N. (2014). Factors affecting the consumer’s attitudes on online shopping in Saudi Arabia. International journal of scientific and research publications, 4(11), 1-8.
Kim, J. B. (2012). An empirical study on consumer first purchase intention in online shopping: integrating initial trust and TAM. Electronic Commerce Research, 12(2), 125-150.
Kimes, S. E. (2011). Customer perceptions of electronic food ordering.
Kotler, P. (1993). The major tasks of marketing management. Marketing Management, 2(3), 52.
Laroche, M., Yang, Z., McDougall, G. H., & Bergeron, J. (2005). Internet versus bricks-and-mortar retailers: An investigation into intangibility and its consequences. Journal of retailing, 81(4), 251-267.
Li, C., Mirosa, M., & Bremer, P. (2020). Review of online food delivery platforms and their impacts on sustainability. Sustainability, 12(14), 5528. Retrieved from https://doi.org/10.3390/su12145528
Li, N., & Zhang, P. (2002). Consumer online shopping attitudes and behavior: An assessment of research. AMCIS 2002 proceedings, 74, 508-517.
Lim, Y. M., & Cham, T. H. (2015). A profile of the Internet shoppers: Evidence from nine countries. Telematics and Informatics, 32(2), 344-354.
Littler, D., & Melanthiou, D. (2006). Consumer perceptions of risk and uncertainty and the implications for behaviour towards innovative retail services: the case of internet banking. Journal of Retailing and Consumer services, 13(6), 431-443.
Melis, K., Campo, K., Breugelmans, E., & Lamey, L. (2015). The impact of the multi-channel retail mix on online store choice: does online experience matter? Journal of retailing, 91(2), 272-288.
Meuter, M. L., Ostrom, A. L., Bitner, M. J., & Roundtree, R. (2003). The influence of technology anxiety on consumer use and experiences with self-service technologies. Journal of Business Research, 56(11), 899-906.
Morwitz, V. G., & Schmittlein, D. (1992). Using segmentation to improve sales forecasts based on purchase intent: Which “intenders” actually buy? Journal of marketing research, 29(4), 391-405.
Noris, A., & Cantoni, L. (2021). COVID-19 Outbreak and Fashion Communication Strategies on Instagram: A Content Analysis. Lecture Notes in Computer Science, 12781, 340-355.
Oliver, R. L., & Linda, G. (1981). Effect of satisfaction and its antecedents on consumer preference and intention. ACR North American Advances, 8, 88-93.
Ollila, S. (2011). Consumers' attitudes towards food prices(Doctoral dissertation,University of Helsinki). Retrieved from http://urn.fi/URN:ISBN:978-952-10-7380-9
Punj, G. (2012). Income effects on relative importance of two online purchase goals: Saving time versus saving money? Journal of Business Research, 65(5), 634-640.
Rezaei, J., Nispeling, T., Sarkis, J., & Tavasszy, L. (2016). A supplier selection life cycle approach integrating traditional and environmental criteria using the best worst method. Journal of Cleaner Production, 135, 577-588.
Rezaei, S., Ali, F., Amin, M., & Jayashree, S. (2016). Online impulse buying of tourism products: The role of web site personality, utilitarian and hedonic web browsing. Journal of Hospitality and Tourism Technology, 7(1), 60-83.
Saarijärvi, H., Grönroos, C., & Kuusela, H. (2014). Reverse use of customer data: implications for service-based business models. Journal of Services Marketing, 28(7), 529-537.
Seiders, K., Voss, G. B., Grewal, D., & Godfrey, A. L. (2005). Do satisfied customers buy more? Examining moderating influences in a retailing context. Journal of marketing, 69(4), 26-43.
Settle, R. B., & Alreck, P. L. (1991). FAST: A standardized measure of time traits. Paper presented at the Special Conference on Time and Consumer Behavior, Val-Morin, QC, Canada.
Sheth, J. (1983). Integrative theory of patronage and behavior, in patronage behavior and retail management. New York, North-Holland, elserier Science Publishing Company, Inc.
Shim, S., Eastlick, M. A., Lotz, S. L., & Warrington, P. (2001). An online prepurchase intentions model: the role of intention to search: best overall paper award—The Sixth Triennial AMS/ACRA Retailing Conference, 2000. Journal of retailing, 77(3), 397-416.
Spreng, R. A., Dixon, A. L., & Olshavsky, R. W. (1993). The impact of perceived value on consumer satisfaction. The Journal of Consumer Satisfaction, Dissatisfaction and Complaining Behavior, 6, 50-55.
Sultan, M. U., & Uddin, M. (2011). Consumers’ Attitude towards Online Shopping: Factors influencing Gotland consumers to shop online(Master's Thesis). In. Available from Digitala Vetenskapliga Arkivet.(diva2:420724).
Tauber, E. M. (1972). Marketing notes and communications: Why do people shop? Journal of marketing, 36(4), 46-49.
Thamizhvanan, A., & Xavier, M. J. (2013a). Determinants of customers' online purchase intention: an empirical study in India. Journal of Indian Business Research, 5(1), 17-32.
Thamizhvanan, A., & Xavier, M. J. (2013b). Determinants of customers' online purchase intention: an empirical study in India. Journal of Indian Business Research, 5(1), 17-32.
To, P.-L., Liao, C., & Lin, T.-H. (2007). Shopping motivations on Internet: A study based on utilitarian and hedonic value. Technovation, 27(12), 774-787.
Tsang, P. M., & Tse, S. (2005). A hedonic model for effective web marketing: an empirical examination. Industrial Management & Data Systems, 105(8), 1039-1052.
Tversky, A., & Kahneman, D. (1985). The framing of decisions and the psychology of choice. In Behavioral decision making (Vol. 211(4481), pp. 453-458).
Van der Heijden, H., Verhagen, T., & Creemers, M. (2003). Understanding online purchase intentions: contributions from technology and trust perspectives. European journal of information systems, 12(1), 41-48.
Wagner, S. M., & Eggert, A. (2016). Co-management of purchasing and marketing: Why, when and how? Industrial Marketing Management, 52, 27-36.
Wang, W., & Kim, S. (2016). What Leads to Customer Satisfaction and Repurchase Intention in Taobao. com? 인터넷전자상거래연구, 16(2), 169-184.
Wimmer, R. D., & Dominick, J. R. (2006). Mass communication research: An introduction. Belmont, CA.
Yeo, V. C. S., Goh, S.-K., & Rezaei, S. (2017). Consumer experiences, attitude and behavioral intention toward online food delivery (OFD) services. Journal of Retailing and Consumer services, 35, 150-162.
Zeithaml, V. A., Berry, L. L., & Parasuraman, A. (1996). The behavioral consequences of service quality. Journal of marketing, 60(2), 31-46.
Zendehdel, M., Paim, L. H., & Osman, S. B. (2015). Students’ online purchasing behavior in Malaysia: Understanding online shopping attitude. Cogent Business & Management, 2:1078428. Retrieved from http://dx.doi.org/10.1080/23311975.2015.107842
Zhou, L., Dai, L., & Zhang, D. (2007). Online shopping acceptance model-A critical survey of consumer factors in online shopping. Journal of Electronic commerce research, 8(1), 1-10.
Zhou, T., Lu, Y., & Wang, B. (2009). The relative importance of website design quality and service quality in determining consumers’ online repurchase behavior. Information Systems Management, 26(4), 327-337.
陳瑞辰. (2007). 游泳池服務品質, 顧客滿意度與再購意願之研究-以臺北縣三重市地區游泳池為例(碩士論文). Retrieved from https://www.airitilibrary.com/Publication/alDetailedMesh1?DocID=U0021-2910200810550355
網路資料來源
Euromonitor(2016) Top 6 Insights from the 2015 Global Consumer Trends Survey [Online forum comment].Retrieved fromhttps://www.euromonitor.com
UNCTAD(2021) From recovery to resilience: the development dimension[Online forum comment].Retrieved from https://unctad.org/webflyer/trade-and-development- report-2021
Foodpanda(2023) Foodpanda(線上論壇)。取自https://www.foodpanda.com.tw
Uber Eats(2023) 優饗方案-月訂閱制基本介紹(線上論壇)。取自https://www.uber.com/zh-TW/blog/introduction-to-eats-pass/
產業情報研究所(2022) 11%臺灣網友:疫情期間首度使用美食外送服務(線上論壇)。取自https://mic.iii.org.tw/news.aspx?id=573