| 研究生: |
陳彥伃 Chen, Yen-Yu |
|---|---|
| 論文名稱: |
以計畫行為理論與多群組分析探討快時尚綠色服裝購買障礙之研究 Exploring Purchase Barriers of Green Apparel in Fast Fashion: A Study of the Theory of Planned Behavior and Multigroup Analysis |
| 指導教授: |
葉時碩
Yeh, Shih-Shuo |
| 學位類別: |
碩士 Master |
| 系所名稱: |
管理學院 - 企業管理學系 Department of Business Administration |
| 論文出版年: | 2024 |
| 畢業學年度: | 112 |
| 語文別: | 英文 |
| 論文頁數: | 119 |
| 中文關鍵詞: | 快時尚 、綠色環保服裝 、環保標籤意識 、價格敏感度 、綠色懷疑 、漂綠 |
| 外文關鍵詞: | fast fashion, green apparel, eco-label awareness, price sensitivity, green skepticism, greenwashing |
| 相關次數: | 點閱:71 下載:0 |
| 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 |
快時尚商業模式已導致數千萬噸的廢棄物和大量資源的消耗。隨著環境保護和社會責任意識的提高,企業開始推出綠色環保服裝,即由回收廢料再製而成的服裝,以此建立封閉式的消費循環。然而,消費者可能因面對陌生或未知的產品而猶豫是否購買。因此,本研究以計畫行為理論(Theory of Planned Behavior, TPB)為基礎,同時,本研究將消費者購買綠色環保服裝時可能面臨的主要購買障礙歸納為前置因子,包括缺乏環保標籤意識、價格敏感度、綠色懷疑和漂綠擔憂。通過分析這些因子如何影響消費者的行為,探討其對主觀規範、態度和知覺行為控制的影響。此外,研究也將環保知識納入討論,並通過多群組分析探討高知識群體和低知識群體之間是否存在行為差異。本研究採用網路問卷調查收集數據,共回收736份有效問卷。使用偏最小平方法的結構方程模型(partial least squares structural equation modeling, PLS-SEM)進行統計分析。研究結果顯示,缺乏環保標籤意識、價格敏感度和綠色懷疑對知覺行為控制產生負面影響,而價格敏感度、綠色懷疑和漂綠擔憂則對綠色態度產生負面影響。然而,缺乏環保標籤意識卻會增加綠色態度的正向效果,漂綠擔憂與知覺行為控制之間並沒有直接的負面關係。此外,主觀規範和知覺行為控制越高,消費者的綠色態度就越強,進而增強購買綠色環保服裝的意圖。針對環保知識的高低程度,消費者表現出行為上的差異。高環保知識群體能夠更好地判斷綠色環保服裝,而低環保知識群體則可能因能力不足而無法辨識或理解產品。因此,本研究建議企業可以通過了解消費者心中的障礙來制定相應策略,並以客製化方式將綠色環保服裝深入推廣至不同的消費者群體,以擴展對綠色環保服裝的認識和支持。
The fast-fashion business model has led to millions of tons of waste and significant resource depletion. With increasing awareness of environmental protection and social responsibility, companies are introducing eco-friendly clothing (green apparel) made from recycled materials to establish a closed-loop consumption cycle. However, consumers may hesitate to purchase due to unfamiliarity or uncertainty about the products. Therefore, this study is based on the Theory of Planned Behavior (TPB) to explore how consumers’ purchasing behavior is influenced by various factors, including lack of awareness of eco-labels, price sensitivity, green skepticism, and greenwashing concern, which are identified as primary barriers. Additionally, the study incorporates environmental knowledge and examines potential behavioral differences between high- and low-knowledge groups through multi-group analysis. Data was collected through an online questionnaire, with 736 valid responses obtained. Partial least squares structural equation modeling (PLS-SEM) was employed for statistical analysis. The results indicate that lack of awareness of eco-labels, price sensitivity, and green skepticism negatively affect perceived behavioral control, while price sensitivity, green skepticism, and greenwashing concern negatively impact green attitudes. Surprisingly, lack of eco-label awareness increases green attitudes positively, and there is no direct negative relationship between greenwashing concern and perceived behavioral control. Moreover, higher subjective norms and perceived behavioral control lead to stronger green attitudes and intentions to purchase green apparel. Consumer behavior varies based on environmental knowledge levels, with high-knowledge groups better able to judge green apparel, while low-knowledge groups may struggle due to inadequate understanding. Therefore, the study suggests that businesses should develop tailored strategies based on an understanding of consumer barriers and promote green apparel to different consumer groups to expand awareness and support for such products.
Ahmad, W., & Zhang, Q. (2020). Green purchase intention: Effects of electronic service quality and customer green psychology. Journal of Cleaner Production, 267. https://doi.org/10.1016/j.jclepro.2020.122053
Aitken, R., Watkins, L., Williams, J., & Kean, A. (2020). The positive role of labelling on consumers’ perceived behavioural control and intention to purchase organic food. Journal of Cleaner Production, 255, 120334. https://doi.org/10.1016/j.jclepro.2020.120334
Ajzen, I. (1991). The theory of planned behavior. Organizational behavior and human decision processes, 50(2), 179-211. https://doi.org/10.1016/0749-5978(91)90020-T
Ajzen, I. (2020). The theory of planned behavior: Frequently asked questions. Human behavior and emerging technologies, 2(4), 314-324. https://doi.org/10.1002/hbe2.195
Ajzen, I., Brown, T. C., & Carvajal, F. (2004). Explaining the discrepancy between intentions and actions: The case of hypothetical bias in contingent valuation. Personality and social psychology bulletin, 30(9), 1108-1121. https://doi.org/10.1177/0146167204264079
Bósquez, N. G. C., & Arias-Bolzmann, L. G. (2021). Factors influencing green purchasing inconsistency of ecuadorian millennials. British Food Journal, 124(8), 2461-2480. https://doi.org/10.1108/bfj-05-2021-0558
Bhardwaj, V., & Fairhurst, A. (2010). Fast fashion: response to changes in the fashion industry. The International Review of Retail, Distribution and Consumer Research, 20(1), 165-173. https://doi.org/10.1080/09593960903498300
Brandão, A., & Costa, A. G. d. (2021). Extending the theory of planned behaviour to understand the effects of barriers towards sustainable fashion consumption. European Business Review, 33(5), 742-774. https://doi.org/10.1108/ebr-11-2020-0306
Chen, M. F. (2020). The impacts of perceived moral obligation and sustainability self‐identity on sustainability development: A theory of planned behavior purchase intention model of sustainability‐labeled coffee and the moderating effect of climate change skepticism. Business Strategy and the Environment, 29(6), 2404-2417. https://doi.org/10.1002/bse.2510
Chi, N. T. K. (2021). Understanding the effects of eco-label, eco-brand, and social media on green consumption intention in ecotourism destinations. Journal of Cleaner Production, 321. https://doi.org/10.1016/j.jclepro.2021.128995
Cho, Y.-N., & Taylor, C. R. (2020). The role of ambiguity and skepticism in the effectiveness of sustainability labeling. Journal of Business Research, 120, 379-388. https://doi.org/10.1016/j.jbusres.2019.08.034
Chou, T.-C., Chang, P.-L., Cheng, Y.-P., & Tsai, C.-T. (2007). A path model linking organizational knowledge attributes, information processing capabilities, and perceived usability. Information & Management, 44(4), 408-417. https://doi.org/10.1016/j.im.2007.03.003
Cronbach, L. J. (1951). Coefficient alpha and the internal structure of tests. psychometrika, 16(3), 297-334. https://doi.org/10.1007/bf02310555
Dangelico, R. M., Alvino, L., & Fraccascia, L. (2022). Investigating the antecedents of consumer behavioral intention for sustainable fashion products: Evidence from a large survey of Italian consumers. Technological Forecasting and Social Change, 185, 122010. https://doi.org/https://doi.org/10.1016/j.techfore.2022.122010
Delmas, M. A., & Gergaud, O. (2021). Sustainable practices and product quality: Is there value in eco-label certification? The case of wine. Ecological Economics, 183. https://doi.org/10.1016/j.ecolecon.2021.106953
Ding, L., Velicer, W. F., & Harlow, L. L. (1995). Effects of estimation methods, number of indicators per factor, and improper solutions on structural equation modeling fit indices. Structural Equation Modeling: A Multidisciplinary Journal, 2(2), 119-143. https://doi.org/10.1080/10705519509540000
Duch, G. J. (2024). The Impact of Textile Production and Waste on the Environment. European Environment Agency https://reurl.cc/8vjOyg
Everitt, B. S., & Skrondal, A. (2010). The Cambridge dictionary of statistics.
Farooq, Y., & Wicaksono, H. (2021). Advancing on the analysis of causes and consequences of green skepticism. Journal of Cleaner Production, 320, 128927-128939. https://doi.org/10.1016/j.jclepro.2021.128927
Field, A. (2013). Discovering statistics using IBM SPSS statistics. sage.
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
Frommeyer, B., Wagner, E., Hossiep, C. R., & Schewe, G. (2022). The utility of intention as a proxy for sustainable buying behavior – A necessary condition analysis. Journal of Business Research, 143, 201-213. https://doi.org/10.1016/j.jbusres.2022.01.041
Fuller, C. M., Simmering, M. J., Atinc, G., Atinc, Y., & Babin, B. J. (2016). Common methods variance detection in business research. Journal of Business Research, 69(8), 3192-3198. https://doi.org/10.1016/j.jbusres.2015.12.008
Gharaibeh, B., Al-Smadi, A. M., & Boyle, D. (2017). Psychometric properties and characteristics of the Diabetes Self Management Scale. International journal of nursing sciences, 4(3), 252-259. https://doi.org/10.1016/j.ijnss.2017.04.001
Goh, S. K., & Balaji, M. S. (2016). Linking green skepticism to green purchase behavior. Journal of Cleaner Production, 131, 629-638. https://doi.org/10.1016/j.jclepro.2016.04.122
Greenwood, P. E., & Nikulin, M. S. (1996). A guide to chi-squared testing (Vol. 280). John Wiley & Sons.
Guelec, H., & Sayar, K. (2007). Reliability and validity of the Turkish form of the Somatosensory Amplification Scale. Psychiatry and clinical neurosciences, 61(1), 25-30. https://doi.org/10.1111/j.1440-1819.2007.01606.x
Hair Jr, J. F., Hult, G. T. M., Ringle, C. M., Sarstedt, M., Danks, N. P., Ray, S., Hair, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2021). Evaluation of reflective measurement models. https://doi.org/10.1007/978-3-030-80519-7
Harman, H. H. (1976). Modern factor analysis. University of Chicago press.
Henseler, J., Ringle, C. M., & Sarstedt, M. (2015). A new criterion for assessing discriminant validity in variance-based structural equation modeling. Journal of the academy of marketing science, 43, 115-135. https://doi.org/10.1007/s11747-014-0403-8
Idowu, S. O., Capaldi, N., Zu, L., & Gupta, A. D. (2013). Encyclopedia of corporate social responsibility (Vol. 21). Springer Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-28036-8
Igini, M. (2023). Concerning Fast Fashion Waste Statistics. https://earth.org/statistics-about-fast-fashion-waste/
Joanes, T., Gwozdz, W., & Klöckner, C. A. (2020). Reducing personal clothing consumption: A cross-cultural validation of the comprehensive action determination model. Journal of Environmental Psychology, 71, 101396-101406. https://doi.org/10.1016/j.jenvp.2020.101396
Joshi, Y., Uniyal, D. P., & Sangroya, D. (2021). Investigating consumers’ green purchase intention: Examining the role of economic value, emotional value and perceived marketplace influence. Journal of Cleaner Production, 328, 129638-129646. https://doi.org/10.1016/j.jclepro.2021.129638
Kanchanapibul, M., Lacka, E., Wang, X., & Chan, H. K. (2014). An empirical investigation of green purchase behaviour among the young generation. Journal of Cleaner Production, 66, 528-536. https://doi.org/10.1016/j.jclepro.2013.10.062
Kautish, P., & Khare, A. (2022). Antecedents of sustainable fashion apparel purchase behavior. Journal of Consumer Marketing, 39/5, 475–487. https://doi.org/10.1108/JCM-04-2020-3733
Khan, S. J., Badghish, S., Kaur, P., Sharma, R., & Dhir, A. (2023). What motivates the purchasing of green apparel products? A systematic review and future research agenda. Business Strategy and the Environment. https://doi.org/10.1002/bse.3360
Khare, A. (2019). Green apparel buying: Role of past behavior, knowledge and peer influence in the assessment of green apparel perceived benefits. Journal of International Consumer Marketing, 35(1), 109-125. https://doi.org/10.1080/08961530.2019.1635553
Khare, A., & Kautish, P. (2021). Cosmopolitanism, self-identity, online communities and green apparel perception. Marketing Intelligence & Planning, 39(1), 91-108. https://doi.org/10.1108/MIP-11-2019-0556
Koay, K. Y., Cheah, C. W., & Lom, H. S. (2022). An integrated model of consumers' intention to buy second-hand clothing. International Journal of Retail & Distribution Management, 50(11), 1358-1377. https://doi.org/10.1108/ijrdm-10-2021-0470
Kock, N. (2015). Common method bias in PLS-SEM: A full collinearity assessment approach. International Journal of e-Collaboration, 11(4), 1-10. https://doi.org/10.4018/ijec.2015100101
Kock, N., & Lynn, G. (2012). Lateral collinearity and misleading results in variance-based SEM: An illustration and recommendations. Journal of the Association for information Systems, 13(7). https://doi.org/10.17705/1jais.00302
Kumar, N., & Mohan, D. (2021). Sustainable apparel purchase intention: collectivist cultural orientation and price sensitivity in extended TPB model. Journal of Revenue and Pricing Management, 20(2), 149-161. https://doi.org/10.1057/s41272-021-00297-z
Lavuri, R. (2021). Extending the theory of planned behavior: factors fostering millennials’ intention to purchase eco-sustainable products in an emerging market. Journal of Environmental Planning and Management, 65(8), 1507-1529. https://doi.org/10.1080/09640568.2021.1933925
Lavuri, R. (2022). Organic green purchasing: Moderation of environmental protection emotion and price sensitivity. Journal of Cleaner Production, 368, 133113-133123. https://doi.org/10.1016/j.jclepro.2022.133113
Lee, H., Lalwani, A. K., & Wang, J. J. (2020). Price No Object!: The Impact of Power Distance Belief on Consumers’ Price Sensitivity. Journal of Marketing, 84(6), 113-129. https://doi.org/10.1177/0022242920929718
Leonidou, C. N. (2017). Gray Shades of Green: Causes and Consequences of Green Skepticism. Journal of Business Ethics, 144, 401–415. https://doi.org/10.1007/s10551-015-2829-4
LIANG, S.-W., LIOU, S.-Y., FANG, W.-D., & JHONG, Y.-S. (2020). National Environmental Literacy Survey Project.
Lichtenstein, D. R., Ridgway, N. M., & Netemeyer, R. G. (1993). Price perceptions and consumer shopping behavior: a field study. Journal of marketing research, 30(2), 234-245. https://doi.org/10.1177/002224379303000208
Liu, J., Liang, J., Ding, J., Zhang, G., Zeng, X., Yang, Q., Zhu, B., & Gao, W. (2021). Microfiber pollution: an ongoing major environmental issue related to the sustainable development of textile and clothing industry. Environment, Development and Sustainability, 23(8), 11240-11256. https://doi.org/10.1007/s10668-020-01173-3
Liu, P., Segovia, M., Tse, E. C.-Y., & Nayga, R. M. (2022). Become an environmentally responsible customer by choosing low-carbon footprint products at restaurants: Integrating the elaboration likelihood model (ELM) and the theory of planned behavior (TPB). Journal of Hospitality and Tourism Management, 52, 346-355. https://doi.org/10.1016/j.jhtm.2022.07.021
MacKenzie, S. B., & Podsakoff, P. M. (2012). Common method bias in marketing: Causes, mechanisms, and procedural remedies. Journal of Retailing, 88(4), 542-555. https://doi.org/10.1016/j.jretai.2012.08.001
Mason, M. C., Pauluzzo, R., & Umar, R. M. (2022). Recycling habits and environmental responses to fast-fashion consumption: Enhancing the theory of planned behavior to predict generation Y consumers' purchase decisions. Waste Management, 139, 146-157. https://doi.org/10.1016/j.wasman.2021.12.012
Meis-Harris, J., Klemm, C., Kaufman, S., Curtis, J., Borg, K., & Bragge, P. (2021). What is the role of eco-labels for a circular economy? A rapid review of the literature. Journal of Cleaner Production, 306, 127134-127150. https://doi.org/10.1016/j.jclepro.2021.127134
Meng, M. D., & Leary, R. B. (2019). It might be ethical, but I won't buy it: Perceived contamination of, and disgust towards, clothing made from recycled plastic bottles. Psychology & Marketing, 38(2), 298-312. https://doi.org/10.1002/mar.21323
Mohammad, J., Quoquab, F., & Mohamed Sadom, N. Z. (2021). Mindful consumption of second-hand clothing: the role of eWOM, attitude and consumer engagement. Journal of Fashion Marketing and Management: An International Journal, 25(3), 482-510. https://doi.org/10.1108/JFMM-05-2020-0080
Ogiemwonyi, O. (2022). Factors influencing generation Y green behaviour on green products in Nigeria: An application of theory of planned behaviour. Environmental and Sustainability Indicators, 13, 100164. https://doi.org/10.1016/j.indic.2021.100164
Orazi, D. C., & Chan, E. Y. (2018). “They Did Not Walk the Green Talk!:” How Information Specificity Influences Consumer Evaluations of Disconfirmed Environmental Claims. Journal of Business Ethics, 163(1), 107-123. https://doi.org/10.1007/s10551-018-4028-6
Perry, P. (2019). The True Cost of Fast Fashion. The University of Manchester Magazine: Opinion. https://www.manchester.ac.uk/discover/magazine/opinion/cost-of-fashion/
Peters, G., Li, M., & Lenzen, M. (2021). The need to decelerate fast fashion in a hot climate - A global sustainability perspective on the garment industry. Journal of Cleaner Production, 295, 126390. https://doi.org/10.1016/j.jclepro.2021.126390
Rausch, T. M., & Kopplin, C. S. (2021). Bridge the gap: Consumers’ purchase intention and behavior regarding sustainable clothing. Journal of Cleaner Production, 278, 123882-123897. https://doi.org/10.1016/j.jclepro.2020.123882
Sana, S. S. (2020). Price competition between green and non green products under corporate social responsible firm. Journal of Retailing and Consumer Services, 55. https://doi.org/10.1016/j.jretconser.2020.102118
Sarstedt, M., Henseler, J., & Ringle, C. M. (2011). Multigroup Analysis in Partial Least Squares (PLS) Path Modeling: Alternative Methods and Empirical Results. In Measurement and Research Methods in International Marketing (pp. 195-218). https://doi.org/10.1108/s1474-7979(2011)0000022012
Silva, M. E., Sousa-Filho, J. M. d., Yamim, A. P., & Diógenes, A. P. (2020). Exploring nuances of green skepticism in different economies. Marketing Intelligence & Planning, 38(4), 449-463. https://doi.org/10.1108/mip-10-2018-0435
Siraj, A., Taneja, S., Zhu, Y., Jiang, H., Luthra, S., & Kumar, A. (2022). Hey, did you see that label? It's sustainable!: Understanding the role of sustainable labelling in shaping sustainable purchase behaviour for sustainable development. Business Strategy and the Environment, 31(7), 2820-2838. https://doi.org/10.1002/bse.3049
Srivastava, V., & Gupta, A. K. (2023). Price sensitivity, government green interventions, and green product availability triggers intention toward buying green products. Business Strategy and the Environment, 32(1), 802-819. https://doi.org/10.1002/bse.3176
Su, J., Iqbal, M. A., Haque, F., & Akter, M. M. K. (2023). Sustainable apparel: a perspective from Bangladesh’s young consumers. Social Responsibility Journal, ahead-of-print(ahead-of-print). https://doi.org/10.1108/SRJ-01-2022-0035
Su, J., Watchravesringkan, K., Zhou, J., & Gil, M. (2019). Sustainable clothing: perspectives from US and Chinese young Millennials. International Journal of Retail & Distribution Management, 47(11), 1141-1162. https://doi.org/10.1108/IJRDM-09-2017-0184
Szabo, S., & Webster, J. (2020). Perceived Greenwashing: The Effects of Green Marketing on Environmental and Product Perceptions. Journal of Business Ethics, 171(4), 719-739. https://doi.org/10.1007/s10551-020-04461-0
Tan, L. L. (2022). A stimulus-organism-response perspective to examine green hotel patronage intention. Asia Pacific Journal of Marketing and Logistics, ahead of print. https://doi.org/10.1108/apjml-03-2022-0176
Taufique, K. M. R. (2022). Integrating environmental values and emotion in green marketing communications inducing sustainable consumer behaviour. Journal of Marketing Communications, 28(3), 272-290. https://doi.org/10.1080/13527266.2020.1866645
Taufique, K. M. R., Polonsky, M. J., Vocino, A., & Siwar, C. (2019). Measuring consumer understanding and perception of eco‐labelling: Item selection and scale validation. International Journal of Consumer Studies, 43(3), 298-314. https://doi.org/10.1111/ijcs.12510
Taufique, K. M. R., Vocino, A., & Polonsky, M. J. (2016). The influence of eco-label knowledge and trust on pro-environmental consumer behaviour in an emerging market. Journal of Strategic Marketing, 25(7), 511-529. https://doi.org/10.1080/0965254x.2016.1240219
Tewari, A., Mathur, S., Srivastava, S., & Gangwar, D. (2022). Examining the role of receptivity to green communication, altruism and openness to change on young consumers’ intention to purchase green apparel: A multi-analytical approach. Journal of Retailing and Consumer Services, 66. https://doi.org/10.1016/j.jretconser.2022.102938
Van Tonder, E., Fullerton, S., De Beer, L. T., & Saunders, S. G. (2023). Social and personal factors influencing green customer citizenship behaviours: The role of subjective norm, internal values and attitudes. Journal of Retailing and Consumer Services, 71. https://doi.org/10.1016/j.jretconser.2022.103190
Wakefield, K. L., & Inman, J. J. (2003). Situational price sensitivity: the role of consumption occasion, social context and income. Journal of Retailing, 79(4), 199-212. https://doi.org/10.1016/j.jretai.2003.09.004
Wang, C., Zhan, J., Wang, H., Yang, Z., Chu, X., Liu, W., Teng, Y., Liu, H., & Wang, Y. (2022). Multi-group analysis on the mechanism of residents' low-carbon behaviors in Beijing, China. Technological Forecasting and Social Change, 183. https://doi.org/10.1016/j.techfore.2022.121956
Wang, J., Tao, J., & Chu, M. (2020). Behind the label: Chinese consumers’ trust in food certification and the effect of perceived quality on purchase intention. Food Control, 108. https://doi.org/10.1016/j.foodcont.2019.106825
Yang, M., Chen, H., Long, R., Wang, Y., Hou, C., & Liu, B. (2021). Will the public pay for green products? Based on analysis of the influencing factors for Chinese’s public willingness to pay a price premium for green products. Environmental Science and Pollution Research, 28(43), 61408-61422. https://doi.org/10.1007/s11356-021-14885-4
Yeh, S.-S., Ma, T., & Huan, T.-C. (2016). Building social entrepreneurship for the hotel industry by promoting environmental education. International Journal of Contemporary Hospitality Management, 28(6), 1204-1224. https://doi.org/10.1108/ijchm-03-2014-0122
Zhang, L., Li, D., Cao, C., & Huang, S. (2018). The influence of greenwashing perception on green purchasing intentions: The mediating role of green word-of-mouth and moderating role of green concern. Journal of Cleaner Production, 187, 740-750. https://doi.org/10.1016/j.jclepro.2018.03.201
Zhang, X., Shao, X., Jeong, E., & Jang, S. (2021). The effects of restaurant green demarketing on green skepticism and dining intentions: Investigating the roles of benefit associations and green reputation. International Journal of Hospitality Management, 97. https://doi.org/10.1016/j.ijhm.2021.103007
校內:2029-06-22公開