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博碩士論文 etd-0515123-153441 詳細資訊
Title page for etd-0515123-153441
論文名稱
Title
探討軟體品質構面對付費意願之影響依據S-O-R模型
The Influence of Software Quality Towards Willingness to Pay Based on the S-O-R Model
系所名稱
Department
畢業學年期
Year, semester
語文別
Language
學位類別
Degree
頁數
Number of pages
67
研究生
Author
指導教授
Advisor
召集委員
Convenor
口試委員
Advisory Committee
口試日期
Date of Exam
2022-06-20
繳交日期
Date of Submission
2023-06-15
關鍵字
Keywords
S-O-R、付費軟體、感知價值、內容品質、系統品質
S-O-R, Paid Software, Perceived Value, Content Quality, System Quality
統計
Statistics
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中文摘要
隨著移動應用程式市場的繁榮,越來越多人願意為軟體付費,使得付費軟體市場有著巨大的潛力,然而,關於用戶購買付費軟體的意圖,我們了解知之甚少。本研究旨在確定影響用戶付費意願的關鍵品質構面因素。借鑒刺激-有機體-反應(Stimuli-Organism-Response,S-O-R)模型,本研究考察了付費軟體在試用期間哪些品質構面會影響用戶感知價值造成其心理狀態的變化,進而影響其付費意願。
通過對生活在台灣地區的355名受訪者調查分析,我們的 SEM 結果表明,付費軟體在試用的情況下,用戶會在軟體不同構面特性的刺激下影響其內在情感和認知狀態並最終反映在其行為和意圖上。付費軟體的系統品質構面、互動品質構面、內容品質構面與價格品質構面與用戶的感知價值有著正向相關關係,提升以上因素可以增加用戶對付費軟體的感知價值。此外,感知價值和付費意願有著正向相關關係,表明增加用戶對付費軟體價值感知可以增加其付費意願。其中我們發現影響最大的品質構面是軟體的內容品質構面,也就是消費者最看重的是內容品質構面。最後根據本研究結果提出的理論面與實務面的意涵,有助於未來對軟體付費行為的相關研究,同時可能會為軟體供應商提供進一步的見解。
Abstract
With the booming of the mobile application market, an increasing number of individuals are willing to pay for software, indicating substantial potential in the paid software market. However, little is known about users' intention to purchase paid software. This study aims to identify the key quality factors that influence users' willingness to pay. Based on the stimulus-organic-response (S-O-R) model, this study investigated which quality aspects of paid software affect users' perceived value, resulting in changes in their psychological state, and thus their willingness to pay.
Based on the survey data analysis of 355 respondents living in Taiwan, our SEM results show that in the case of trial use of paid software, users will influence their internal emotional and cognitive states under the stimulation of different features of software, which will be reflected in their behaviors and intentions. The system quality, interaction quality, content quality and perceived cost of paid software are positively correlated with users' perceived value, and the improvement of the above factors can increase users' perceived value of paid software. In addition, there is a positive correlation between perceived value and willingness to pay, indicating that increasing users' perceived value of paid software can increase their willingness to pay. Among them, we found that the most influential quality aspect is the content quality aspect of software, that is, consumers value the content quality aspect most. Finally, the theoretical and practical implications of this study are helpful for future research on software payment behavior, and may provide further insights for software suppliers.
目次 Table of Contents
論文審定書 i
摘要 ii
Abstract iii
圖次 vi
表次 vii
第一章 緒論 1
1.1 研究背景與動機 1
1.2 研究意義 2
1.3 研究問題 3
1.4 研究流程 4
第二章 文獻探討 5
2.1 付費軟體 5
2.2 感知價值理論 6
2.3 刺激-有機體-反應(S-O-R)模型 7
2.4 軟體免費試用作為刺激(S) 8
2.5 感知價值作為有機體 (O) 9
2.6 付費意願作為反應 (R) 10
第三章 研究方法 12
3.1 研究模型 12
3.2 研究假說 13
3.2.1 系統品質感知 13
3.2.2 互動品質感知 13
3.2.3 價格品質感知 14
3.2.4 內容品質感知 14
3.2.5 感知價值與付費意願 14
3.3 操作型定義 16
3.4 問卷設計 17
3.4.1 問卷的構面問項 18
3.4.2 資料蒐集 23
第四章 資料分析 24
4.1 敘述性統計分析 24
4.2 測量模型 31
4.2.1 信度分析 31
4.2.2 效度分析 32
4.2.3 共同方法變異(CMV) 35
4.3 模型檢驗與分析 37
第五章 結論與建議 41
5.1 研究結果與討論 41
5.2 研究貢獻 42
5.2.1 理論貢獻 42
5.2.2 實務貢獻 43
5.3 後續研究的侷限性與方向 44
參考文獻 45
附錄:研究問卷 55
參考文獻 References
Armantier, O., Topa, G., Van der Klaauw, W., & Zafar, B. (2017). An overview of the survey of consumer expectations. Economic Policy Review(23-2), 51-72.
Arora, S., Ter Hofstede, F., & Mahajan, V. (2017). The implications of offering free versions for the performance of paid mobile apps. Journal of marketing, 81(6), 62-78.
Belk, R. W. (1975). Situational variables and consumer behavior. Journal of consumer research, 2(3), 157-164.
Benlian, A., Titah, R., & Hess, T. (2012). Differential effects of provider recommendations and consumer reviews in e-commerce transactions: An experimental study. Journal of Management Information Systems, 29(1), 237-272.
Chang, E.-C., & Tseng, Y.-F. (2013). Research note: E-store image, perceived value and perceived risk. Journal of business research, 66(7), 864-870.
Chen, H., Duan, W., & Zhou, W. (2017). The interplay between free sampling and word of mouth in the online software market. Decision Support Systems, 95, 82-90.
Chen, Z., & Dubinsky, A. J. (2003). A conceptual model of perceived customer value in e‐commerce: A preliminary investigation. Psychology & marketing, 20(4), 323-347.
Cho, W.-C., Lee, K. Y., & Yang, S.-B. (2018). What makes you feel attached to smartwatches? The stimulus–organism–response (S–O–R) perspectives. Information Technology & People.
Chopdar, P. K., & Balakrishnan, J. (2020). Consumers response towards mobile commerce applications: SOR approach. International Journal of Information Management, 53, 102106.
Cronin Jr, J. J., Brady, M. K., & Hult, G. T. M. (2000). Assessing the effects of quality, value, and customer satisfaction on consumer behavioral intentions in service environments. Journal of retailing, 76(2), 193-218.
Dashti, M., Sanayei, A., Dolatabadi, H. R., & Javadi, M. H. M. (2019). Application of the stimuli-organism-response framework to factors influencing social commerce intentions among social network users. International Journal of Business Information Systems, 30(2), 177-202.
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.
Emir, A., Halim, H., Hedre, A., Abdullah, D., Azmi, A., & Kamal, S. B. M. (2016). Factors influencing online hotel booking intention: A conceptual framework from stimulus-organism-response perspective. International Academic Research Journal of Business and Technology, 2(2), 129-134.
Erdem, T., Imai, S., & Keane, M. P. (2003). Brand and quantity choice dynamics under price uncertainty. Quantitative Marketing and economics, 1(1), 5-64.
Faugère, C., & Tayi, G. K. (2007). Designing free software samples: a game theoretic approach. Information Technology and Management, 8(4), 263-278.
Fleischer, A., & Wåhlin, C. (2016). Want to Take a Ride with Me?: The Intention of Generation Y to Use Uber. In.
Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of marketing research, 18(1), 39-50.
Franke, N., Keinz, P., & Steger, C. J. (2009). Testing the value of customization: when do customers really prefer products tailored to their preferences? Journal of marketing, 73(5), 103-121.
Gefen, D., Straub, D., & Boudreau, M.-C. (2000). Structural equation modeling and regression: Guidelines for research practice. Communications of the association for information systems, 4(1), 7.
Hair, J. F., Black, W. C., Babin, B. J., Anderson, R. E., & Tatham, R. L. (1998). Multivariate data analysis . Uppersaddle River. Multivariate Data Analysis (5th ed) Upper Saddle River, 5(3), 207-219.
Harmon, R., Raffo, D., & Faulk, S. (2005). Value-based pricing for new software products: strategy insights for developers. the Proceedings of the Portland International Conference on Management of Engineering and Technology,
Haruvy, E., & Prasad, A. (1998). Optimal product strategies in the presence of network externalities. Information Economics and Policy, 10(4), 489-499.
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(1), 115-135.
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.
Hsiao, K.-L., & Chen, C.-C. (2016). What drives in-app purchase intention for mobile games? An examination of perceived values and loyalty. Electronic Commerce Research and Applications, 16, 18-29.
Huang, L.-T. (2016). Flow and social capital theory in online impulse buying. Journal of business research, 69(6), 2277-2283.
Kamins, M. A., Alpert, F. H., & Elliott, M. T. (2000). Independent and interactive effects of exposure sequence, pioneership awareness, and product trial on consumer evaluation of a pioneer brand. Journal of Consumer Psychology, 9(4), 223-229.
Kang, J., & Hustvedt, G. (2014). Building trust between consumers and corporations: The role of consumer perceptions of transparency and social responsibility. Journal of Business Ethics, 125(2), 253-265.
Kaur, S., Lal, A. K., & Bedi, S. S. (2017). Do vendor cues influence purchase intention of online shoppers? An empirical study using SOR framework. Journal of Internet Commerce, 16(4), 343-363.
Keeney, R. L. (1999). The value of Internet commerce to the customer. Management science, 45(4), 533-542.
Keng, C. J., Huang, T. L., Zheng, L. J., & Hsu, M. K. (2007). Modeling service encounters and customer experiential value in retailing: An empirical investigation of shopping mall customers in Taiwan. International Journal of Service Industry Management.
Khalifa, A. S. (2004). Customer value: a review of recent literature and an integrative configuration. Management decision.
Kim, D. J., Ferrin, D. L., & Rao, H. R. (2008). A trust-based consumer decision-making model in electronic commerce: The role of trust, perceived risk, and their antecedents. Decision Support Systems, 44(2), 544-564.
Kim, H.-W., Chan, H. C., & Gupta, S. (2007). Value-based adoption of mobile internet: an empirical investigation. Decision Support Systems, 43(1), 111-126.
Kock, N. (2015). Common method bias in PLS-SEM: A full collinearity assessment approach. International Journal of e-Collaboration (ijec), 11(4), 1-10.
Komulainen, H., Mainela, T., Tähtinen, J., & Ulkuniemi, P. (2007). Retailers' different value perceptions of mobile advertising service. International Journal of Service Industry Management.
Kuo, Y.-F., Wu, C.-M., & Deng, W.-J. (2009). The relationships among service quality, perceived value, customer satisfaction, and post-purchase intention in mobile value-added services. Computers in human behavior, 25(4), 887-896.
Lee, J., & Lee, J.-N. (2015). How purchase intention consummates purchase behaviour: The stochastic nature of product valuation in electronic commerce. Behaviour & Information Technology, 34(1), 57-68.
Lee, K. B., Yu, S., & Kim, S. J. (2006). Analysis of pricing strategies for e-business companies providing information goods and services. Computers & Industrial Engineering, 51(1), 72-78.
Li, J., Zhang, S., Wang, W., & Wang, Y. (2017). Research on the influencing factors of user’s online knowledge consumption behavior. Procedia computer science, 122, 174-179.
Lin, C. H., Sher, P. J., & Shih, H. Y. (2005). Past progress and future directions in conceptualizing customer perceived value. International Journal of Service Industry Management, 16(4), 318-336.
Lin, J., Li, T., & Guo, J. (2021). Factors influencing consumers’ continuous purchase intention on fresh food e-commerce platforms: An organic foods-centric empirical investigation. Electronic Commerce Research and Applications, 50, 101103.
Lindgreen, A., & Wynstra, F. (2005). Value in business markets: What do we know? Where are we going? Industrial marketing management, 34(7), 732-748.
Mehrabian, A., & Russell, J. A. (1974). An approach to environmental psychology. the MIT Press.
Mohideen, Z. A., Sheikh, A., Kaur, K., & Tahira, M. (2019). Acceptance of Koha Open Source System among Librarians in the Malaysian Academic Libraries: An Exploratory Qualitative Study. Serials Review, 45(4), 201-210.
Molinillo, S., Aguilar-Illescas, R., Anaya-Sánchez, R., & Liébana-Cabanillas, F. (2021). Social commerce website design, perceived value and loyalty behavior intentions: the moderating roles of gender, age and frequency of use. Journal of Retailing and Consumer Services, 63, 102404.
Moon, M. A., Javaid, B., Kiran, M., Awan, H. M., & Farooq, A. (2018). Consumer perceptions of counterfeit clothing and apparel products attributes. Marketing Intelligence & Planning.
Morwitz, V. G., & Munz, K. P. (2021). Intentions. Consumer Psychology Review, 4(1), 26-41.
Mullet, G. M., & Karson, M. J. (1985). Analysis of purchase intent scales weighted by probability of actual purchase. Journal of marketing research, 22(1), 93-96.
Nunnally, J. C. (1994). Psychometric theory 3E. Tata McGraw-hill education.
Parasuraman, A., Zeithaml, V. A., & Malhotra, A. (2005). ES-QUAL: A multiple-item scale for assessing electronic service quality. Journal of service research, 7(3), 213-233.
Podsakoff, P. M., MacKenzie, S. B., Lee, J.-Y., & Podsakoff, N. P. (2003). Common method biases in behavioral research: a critical review of the literature and recommended remedies. Journal of applied psychology, 88(5), 879.
Podsakoff, P. M., & Organ, D. W. (1986). Self-reports in organizational research: Problems and prospects. Journal of management, 12(4), 531-544.
Porter, M. E., & Millar, V. E. (1985). How information gives you competitive advantage. In: Harvard Business Review Reprint Service.
Shaw, N., & Sergueeva, K. (2019). The non-monetary benefits of mobile commerce: Extending UTAUT2 with perceived value. International Journal of Information Management, 45, 44-55.
Sheth, J. N., Newman, B. I., & Gross, B. L. (1991). Why we buy what we buy: A theory of consumption values. Journal of business research, 22(2), 159-170.
Sinha, I., & DeSarbo, W. S. (1998). An integrated approach toward the spatial modeling of perceived customer value. Journal of marketing research, 35(2), 236-249.
Sirdeshmukh, D., Singh, J., & Sabol, B. (2002). Consumer trust, value, and loyalty in relational exchanges. Journal of marketing, 66(1), 15-37.
Siwicki, B. (2013). Its official: Mobile devices surpass PCs in online retail. In: Dostupné na internete:< http://www. internetretailer. com/2013/10/01 ….
Sørensen, C., Fountas, S., Nash, E., Pesonen, L., Bochtis, D., Pedersen, S. M., Basso, B., & Blackmore, S. (2010). Conceptual model of a future farm management information system. Computers and electronics in agriculture, 72(1), 37-47.
Steenkamp, J.-B. E., & Geyskens, I. (2006). How country characteristics affect the perceived value of web sites. Journal of marketing, 70(3), 136-150.
Su, L., Li, Y., & Li, W. (2019). Understanding consumers’ purchase intention for online paid knowledge: A customer value perspective. Sustainability, 11(19), 5420.
Sundar, S. S. (2008). The MAIN model: A heuristic approach to understanding technology effects on credibility. MacArthur Foundation Digital Media and Learning Initiative Cambridge, MA.
Sweeney, J. C., & Soutar, G. N. (2001). Consumer perceived value: The development of a multiple item scale. Journal of retailing, 77(2), 203-220.
Ulaga, W., & Chacour, S. (2001). Measuring customer-perceived value in business markets: a prerequisite for marketing strategy development and implementation. Industrial marketing management, 30(6), 525-540.
Walsh, G., Shiu, E., & Hassan, L. M. (2014). Replicating, validating, and reducing the length of the consumer perceived value scale. Journal of business research, 67(3), 260-267.
Wang, Y., Lo, H. P., Chi, R., & Yang, Y. (2004). An integrated framework for customer value and customer‐relationship‐management performance: A customer‐based perspective from China. Managing service quality: an international journal.
Watanabe, T., Akiyama, M., Kanei, F., Shioji, E., Takata, Y., Sun, B., Ishi, Y., Shibahara, T., Yagi, T., & Mori, T. (2017). Understanding the origins of mobile app vulnerabilities: A large-scale measurement study of free and paid apps. 2017 IEEE/ACM 14th International Conference on Mining Software Repositories (MSR),
Weisstein, F. L., Monroe, K. B., & Kukar-Kinney, M. (2013). Effects of price framing on consumers’ perceptions of online dynamic pricing practices. Journal of the academy of marketing science, 41(5), 501-514.
Werts, C. E., Linn, R. L., & Jöreskog, K. G. (1974). Intraclass reliability estimates: Testing structural assumptions. Educational and Psychological measurement, 34(1), 25-33.
Williams, P., & Soutar, G. N. (2000). Dimensions of customer value and the tourism experience: An exploratory study. Australian and New Zealand Marketing Academy Conference,
Wu, L.-Y., Chen, K.-Y., Chen, P.-Y., & Cheng, S.-L. (2014). Perceived value, transaction cost, and repurchase-intention in online shopping: A relational exchange perspective. Journal of business research, 67(1), 2768-2776.
Yang, X., Tan, C.-H., Li, Y., & Teo, H.-H. (2018). Psychological paradox of game software trial. Information & Management, 55(5), 608-620.
Yu, J., Ha, I., Choi, M., & Rho, J. (2005). Extending the TAM for a t-commerce. Information & Management, 42(7), 965-976.
Zeithaml, V. A. (1988). Consumer perceptions of price, quality, and value: a means-end model and synthesis of evidence. Journal of marketing, 52(3), 2-22.
Zeithaml, V. A. (2000). Service quality, profitability, and the economic worth of customers: what we know and what we need to learn. Journal of the academy of marketing science, 28(1), 67-85.
Zhao, Y., Peng, X., Liu, Z., Song, S., & Hansen, P. (2020). Factors that affect asker's pay intention in trilateral payment‐based social Q&A platforms: From a benefit and cost perspective. Journal of the Association for Information Science and Technology, 71(5), 516-528.
Zhu, L., Li, H., Wang, F.-K., He, W., & Tian, Z. (2020). How online reviews affect purchase intention: a new model based on the stimulus-organism-response (SOR) framework. Aslib Journal of Information Management, 72(4), 463-488.
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