شناسايي و رتبه بندی عوامل موثر بر تجربه كاربر از سیستم‌های پیشنهاددهنده در محیط‌های آنلاين (مورد مطالعه: ديجي كالا)
محورهای موضوعی : مدیریت فناوری اطلاعات
مهدی فرمانی
1
,
محمد غفاری
2
,
حسین معینی
3
,
مصطفی زندی نسب
4
1 - پردیس فارابی دانشگاه تهران
2 - پردیس فارابی دانشگاه تهران
3 - استادیار گروه مدیریت بازرگانی، دانشکده مدیریت و حسابداری، دانشگاه حضرت معصومه (س)، قم، ایران
4 - پردیس فارابی دانشگاه تهران
کلید واژه: تجربه کاربر سیستم پیشنهاددهنده دیجی کالا,
چکیده مقاله :
پژوهش حاضر به دنبال شناسایی و رتبه‌بندی عوامل موثر بر تجربه کاربر از سیستم‌های پیشنهاددهنده در محیط‌های آنلاين می‌باشد. این پژوهش از نظر هدف کاربردی و از نظر گردآوری اطلاعات توصیفی و از نوع پیمایشی می‌باشد. جامعه آماری پژوهش کلیه کاربران فروشگاه اينترنتی ديجی کالا بوده‌اند که در فروردین و اردیبهشت ماه 1397 از خدمات اين فروشگاه اينترنتی استفاده کرده‌اند. برای تعیین حجم نمونه آماری از الگوی کومر و لی استفاده و تعداد نمونه 500 تایی تعیین شد که 458 مورد پرسشنامه تکمیل شده دریافت شد. جهت انتخاب اعضای نمونه آماری از روش نمونه‌گیری در دسترس استفاده شد و جمع‌آوری داده‌ها با استفاده از دو روش کتابخانه‌ای برای مرور ادبیات پژوهش و روش میدانی برای توزیع و جمع‌آوری پرسشنامه انجام گرفت. روایی پرسشنامه توسط خبرگان سنجیده شد و پایایی آن به وسیله آلفای کرونباخ مورد تایید قرار گرفت. تحلیل داده‌ها با روش تحلیل عاملی اکتشافی از طریق نرم‌افزار SPSS صورت گرفت. یافته‌های پژوهش حاضر نشان داد تجربه کاربر شامل سیزده بعد می باشد. برای بررسی ابعاد، از آزمون تی تک نمونه‌ای استفاده شد. بنابراین بررسی این ابعاد نشان داد که همه ابعاد در وضعیت مناسبی قرار دارند. برای رتبه‌بندی ابعاد از آنتروپی شانون استفاده گردید.
this research is going to identify and rank the factors influencing on user experience from proposing systems in online environment. This research is functional in terms of its purpose, and it is a descriptive one in terms of information gathering. The statistical population of the study was all users of DJ's internet store, who have used the services of this store in April and May of 2018. To determine the sample size, the Kumer and Lee patterns were used, the sample size was 500 and 458 of the samples in questionnaries were completed and obtained. Sampling method was used to select the members of the statistical sample and the data were collected by using both library method for reviewing the literature and the field method for distribution and collection of questionnaries. Validity of the questionnaries was measured by experts and reliability was confirmed by cronbach's alpha. Data analysis was done by exploratory factor analysis using spss software. The findings of this study showed that user experience includes 13 dimensions. To test the dimensions, a one sample T test was used. Therefore studying these dimensions showed that all dimensions are in good condition. Shannon Entropy was used to rank dimensions.
بابامیری، شایسته سادات و منصوری موید، فرشته (۱۳۹۶). تاثیر ابعاد نگرش بر قصد خرید آنلاین با در نظر گرفتن نقش ارزش های خرید کاربران آنلاین شهر تهران. دومین کنفرانس بین المللی مدیریت و حسابداری، تهران، موسسه آموزش عالی صالحان.
حبیب پور گتابی، کرم و صفری شالی، رضا (1391). کاربرد spss در تحقیقات پیمایشی (تحلیل داده‌های کمی). تهران: انتشارات غزال.
رجب زاده، مصطفی (1393). ارائه یک روش پالایش گروهی با استفاده از خوشه بندی برای بهبود عملکرد سیستم¬های پیشنهادگر در تجارت الکترونیک. اراک: دانشکده فنی دانشگاه اراک.
عباسی، فاطمه (1396). طراحی و پیاده سازی سیستم پیشنهاددهنده خرید کتاب مبتنی بر تحلیل احساسات خریداران. پایان نامه دکتری، دانشکده مدیریت، دانشگاه تهران.
فرهادی، حمیدرضا (1392). توسعه مفهوم و ارائه چارچوبی برای معرفی سیستم‌های توصیه دهنده در راستای طراحی مفهومی سیستم اطلاعات بازاریابی. پایان نامه کارشناسی ارشد، دانشکده مدیریت، دانشگاه تهران.
کریمی علویجه، محمدرضا؛ عسکری، شیوا و پرسته، سیروان (1394). فروشگاه اینترنتی هوشمند: سیستم پیشنهاددهنده مبتنی بر تحلیل رفتار کاربران. مدیریت فناوری اطلاعات، شماره 2، ص 406-385.
مهران فر، آتوسا و رستگارپور، مریم (1395). سيستم های پيشنهاددهنده در شبکه های اجتماعی. اهواز: انتشارات علوم و فنون پزشکی اهواز، 406 – 385.
Aggarwal, C. C. (2016). Recommender systems (pp. 1-28). Springer International Publishing.
Ahn, T., Ryu, S., & Han, I. (2007). The impact of Web quality and playfulness on user acceptance of online retailing. Information & management, 44(3), 263-275.
Anderson, C., & Hiralall, M. (2009). Recommender systems for e-shops. Business Mathematics and Informatics paper.
Azevedo, A. N. D. A. M. (2015). Measuring Online Customer Experience Quality.
Bai, B., Law, R., & Wen, I. (2008). The impact of website quality on customer satisfaction and purchase intentions: Evidence from Chinese online visitors. International journal of hospitality management, 27(3), 391-402.
Bargas-Avila, J. A., & Hornbæk, K. (2011, May). Old wine in new bottles or novel challenges: a critical analysis of empirical studies of user experience. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (pp. 2689-2698).
Bilgihan, A., Kandampully, J., & Zhang, T. (2016). Towards a unified customer experience in online shopping environments: Antecedents and outcomes. International Journal of Quality and Service Sciences, 8(1), 102-119.
Bilgihan, A., Okumus, F., Nusair, K., & Bujisic, M. (2014). Online experiences: flow theory, measuring online customer experience in e-commerce and managerial implications for the lodging industry. Information Technology & Tourism, 14(1), 49-71.
Cao, J.,Gremillion, B.,Zieba, K. (2015). UX Design Process Best Practices Documentation for Moving Design Forward. " uxpin ".
Das, D., Sahoo, L., & Datta, S. (2017). A Survey on Recommendation System. International Journal of Computer Applications, 160(7).
Faiola, A., Newlon, C., Pfaff, M., & Smyslova, O. (2013). Correlating the effects of flow and telepresence in virtual worlds: Enhancing our understanding of user behavior in game-based learning. Computers in Human Behavior, 29(3), 1113-1121.
Fröjdman, S. (2016). User experience guidelines for design of virtual reality graphical user interfaces controlled by head orientation input.
Guo, X., Ling, K. C., & Liu, M. (2012). Evaluating factors influencing consumer satisfaction towards online shopping in China. Asian Social Science, 8(13), 40.
Gupta, J., & Gadge, J. (2014, April). A framework for a recommendation system based on collaborative filtering and demographics. In Circuits, Systems, Communication and Information Technology Applications (CSCITA), 2014 International Conference on (pp. 300-304). IEEE.
Han, J., Pei, J., & Kamber, M. (2012). Data mining: concepts and techniques. Elsevier.
Hao, Y., Chong, W., Man, K. L., Liu, O., & Shi, X. (2016). Key Factors Affecting User Experience of Mobile Crowdsourcing Applications. In Proceedings of the International MultiConference of Engineers and Computer Scientists (Vol. 2) Hassenzahl, M. (2008, September). User experience (UX): towards an experiential perspective on product quality. In Proceedings of the 20th Conference on l'Interaction Homme-Machine (pp. 11-15). ACM.
Hassenzahl, M. (2010). Experience design: Technology for all the right reasons. Synthesis lectures on human-centered informatics, 3(1), 1-95.
Hassenzahl, M. (2018). The thing and I: understanding the relationship between user and product. In Funology 2 (pp. 301-313). Springer, Cham.
Hsu, C. L., Chen, Y. C., Yang, T. N., & Lin, W. K. (2017). Do website features matter in an online gamification context? Focusing on the mediating roles of user experience and attitude. Telematics and Informatics, 34(4), 196-205.
Huang, M. H. (2003). Designing website attributes to induce experiential encounters. computers in Human Behavior, 19(4), 425-442.
Iwata, T. (2008). Probabilistic user behavior models in online stores for recommender systems.
Karapanos, E., Zimmerman, J., Forlizzi, J., & Martens, J. B. (2009, April). User experience over time: an initial framework. In Proceedings of the SIGCHI conference on human factors in computing systems (pp. 729-738). ACM.
Kim, M., Kim, J. H., & Lennon, S. J. (2006). Online service attributes available on apparel retail web sites: an ES-QUAL approach. Managing Service Quality: An International Journal, 16(1), 51-77.
Kiseleva, V. (2017). Understanding holistic user experience: a case of an online magazine website.
Klaus, P. (2013). The case of Amazon. com: towards a conceptual framework of online customer service experience (OCSE) using the emerging consensus technique (ECT). Journal of Services Marketing, 27(6), 443-457.
Klaus, P., & Maklan, S. (2012). EXQ: a multiple-item scale for assessing service experience. Journal of Service Management, 23(1), 5-33.
Knijnenburg, B. P., Willemsen, M. C., & Hirtbach, S. (2010, September). Receiving recommendations and providing feedback: The user-experience of a recommender system. In International Conference on Electronic Commerce and Web Technologies (pp. 207-216). Springer, Berlin, Heidelberg.
Knijnenburg, B. P., Willemsen, M. C., Gantner, Z., Soncu, H., & Newell, C. (2012). Explaining the user experience of recommender systems. User Modeling and User-Adapted Interaction, 22(4-5), 441-504.
Kumar, A., & Anjaly, B. (2017). How to measure post-purchase customer experience in online retailing? A scale development study. International Journal of Retail & Distribution Management, 45(12), 1277-1297.
Lee, S. M., Ungson, G. R., & Russo, M. V. (2011). What determines an engaging website?: An empirical study of website characteristics and operational performance. The Journal of High Technology Management Research, 22(1), 67-79.
Li, D., & Browne, G. J. (2006). The role of need for cognition and mood in online flow experience. Journal of Computer Information Systems, 46(3), 11-17.
Liu, C., Arnett, K. P., Capella, L. M., & Taylor, R. D. (2001). Key dimensions of web design quality as related to consumer response. Journal of Computer Information Systems, 42(1), 70-82.
Liu, J., Hu, G. Z., Yu, Y., Yi, W. J., & Zuo, L. L. (2017, June). Research on the effect of the recommendation system on customer online shopping experience. In Service Systems and Service Management (ICSSSM), 2017 International Conference on (pp. 1-5). IEEE.
Liu, Y., Pu, B., Guan, Z., & Yang, Q. (2016). Online customer experience and its relationship to repurchase intention: An empirical case of online travel agencies in China. Asia Pacific Journal of Tourism Research, 21(10), 1085-1099.
Loiacono, E. T., Watson, R. T., & Goodhue, D. L. (2002). WebQual: A measure of website quality. Marketing theory and applications, 13(3), 432-438.
Lucassen, T., Muilwijk, R., Noordzij, M. L., & Schraagen, J. M. (2013). Topic familiarity and information skills in online credibility evaluation. Journal of the American Society for Information Science and Technology, 64(2), 254-264.
Maitlo, M. Z., Jugwani, N., & Gilal, R. G. (2017). The Model of Customer Experience and Purchase Intention in Online Environment. Sukkur IBA Journal of Management and Business, 4(1), 1-17.
Marsh, J. (2015). UX for Beginners: A Crash Course in 100 Short Lessons. " O'Reilly Media, Inc.".
Martin, J., & Mortimer, G. (2013). Online Customer Experience: What is the Experience and how is it Difference for Frequent and Infrequent Purchasers, Age Cohorts and Gender Groups?
Martin, J., Mortimer, G., & Andrews, L. (2015). Re-examining online customer experience to include purchase frequency and perceived risk. Journal of retailing and consumer services, 25, 81-95.
Martínez-López, F. J., Rodríguez-Ardura, I., Carlos Gazquez-Abad, J., Sánchez-Franco, M. J., & Cabal, C. C. (2010). Psychological elements explaining the consumer's adoption and use of a website recommendation system: a theoretical framework proposal. Internet research, 20(3), 316-341.
McLean, G., & Wilson, A. (2015, June). An investigation on the online customer experience–the role of social interaction. In The 14th International Research Symposium on Service Excellence in Management.
McLean, G., Osei-Frimpong, K., & Al-Nabhani, K. (2017, June). It’s time to chat… examining the customer experience during an online live chat service encounter. In 15th International Research Symposium on Service Excellence in Management.
Mollen, A., & Wilson, H. (2010). Engagement, telepresence and interactivity in online consumer experience: Reconciling scholastic and managerial perspectives. Journal of business research, 63(9-10), 919-925.
Mosteller, J., Donthu, N., & Eroglu, S. (2014). The fluent online shopping experience. Journal of Business Research, 67(11), 2486-2493.
Mpinganjira, M. (2016). An investigation of customer attitude towards online stores. African Journal of Science, Technology, Innovation and Development, 8(5-6), 447-456.
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.
Park, J., Han, S. H., Kim, H. K., Oh, S., & Moon, H. (2013). Modeling user experience: A case study on a mobile device. International Journal of Industrial Ergonomics, 43(2), 187-196.
Pettersson, J. (2015). Unifying the offline and online customer experience: An exploratory study of omni channel customer experience in furniture retail industry in Sweden.
Phan, D. D., & Vogel, D. R. (2010). A model of customer relationship management and business intelligence systems for catalogue and online retailers. Information & management, 47(2), 69-77.
Pu, P., Chen, L., & Hu, R. (2012). Evaluating recommender systems from the user’s perspective: survey of the state of the art. User Modeling and User-Adapted Interaction, 22(4-5), 317-355.
Ricci, F., Rokach, L., & Shapira, B. (2011). Introduction to recommender systems handbook. In Recommender systems handbook (pp. 1-35). springer US.
Rose, S., Clark, M., Samouel, P., & Hair, N. (2012). Online customer experience in e-retailing: an empirical model of antecedents and outcomes. Journal of Retailing, 88(2), 308-322.
SA, V. K. (2017). The Role of Potential Customer Engagement Antecedents in Creating Positive Customer Experience in an Online C2c Platform.
Sambhanthan, A., & Good, A. (2013). Critical Success Factors for Positive User Experience in Hotel Websites: Applying Herzberg's Two Factor Theory for User Experience Modeling. arXiv preprint arXiv:1302.5196.
Shava, F. B., & Van Greunen, D. (2013, August). Factors affecting user experience with security features: A case study of an academic institution in Namibia. In Information Security for South Africa, 2013 (pp. 1-8). IEEE.
Shobeiri, S., Mazaheri, E., & Laroche, M. (2018). Creating the right customer experience online: The influence of culture. Journal of Marketing Communications, 24(3), 270-290.
Snieneh, A. (2010). An integrated model for the measurement of online customer experience. An empirical international study (Doctoral dissertation, University of Bradford).
Sun, Y., Chong, W. K., Han, Y. S., Rho, S., & Man, K. L. (2015). Key factors affecting user experience of mobile recommendation systems. In Proceedings of the International MultiConference of Engineers and Computer Scientists (Vol. 2).
Tongtong, Z. (2011, May). Evaluation of customer experience in shopping online based on AHP. In 2011 International Conference on E-Business and E-Government (ICEE).
Trevinal, A. M., & Stenger, T. (2014). Toward a conceptualization of the online shopping experience. Journal of retailing and consumer services, 21(3), 314-326.
Vandenbulcke, V., Lecron, F., Ducarroz, C., & Fouss, F. (2013, June). Customer segmentation based on a collaborative recommendation system: Application to a mass retail company. In Proceedings of the 42nd Annual Conference of the European Marketing Academy.
Wang, L., Tang, H., Liu, D., & Xing, C. (2017). Study on Customer Experience Dimension Based on Online Shopping reviews of MI’s Products. In MATEC Web of Conferences (Vol. 100, p. 05024). EDP Sciences.
Wang, P. P., Huang, Q., Davison, R. M., & Wu, W. (2017). The Antecedents and Consequences of Social and Economic User Satisfaction in Online Social Shopping Community: The User Experience Perspective.
Wang, Y. S. (2008). Assessing e‐commerce systems success: a respecification and validation of the DeLone and McLean model of IS success. Information Systems Journal, 18(5), 529-557.
Wani, M., Raghavan, V., Abraham, D., & Kleist, V. (2017). Beyond utilitarian factors: User experience and travel company website successes. Information Systems Frontiers, 19(4), 769-785.
Xin Ding, D., Hu, P. J. H., Verma, R., & Wardell, D. G. (2010). The impact of service system design and flow experience on customer satisfaction in online financial services. Journal of Service Research, 13(1), 96-110.
Yoon, C. (2010). Antecedents of customer satisfaction with online banking in China: The effects of experience. Computers in Human Behavior, 26(6), 1296-1304.
Yoon, V. Y., Hostler, R. E., Guo, Z., & Guimaraes, T. (2013). Assessing the moderating effect of consumer product knowledge and online shopping experience on using recommendation agents for customer loyalty. Decision Support Systems, 55(4), 883-893.
Zeithaml, V. A., Bitner, M. J., & Gremler, D. D. Wilson, A., (2012). Services marketing: Integrating customer focus across the firm. McGraw Hill.
Zeng, Z. (2009). An intelligent e-commerce recommender system based on web mining. International journal of business and management, 4(7), 10.
Zhang, H., Zhao, L., & Gupta, S. (2018). The role of online product recommendations on customer decision making and loyalty in social shopping communities. International Journal of Information Management, 38(1), 150-166.
Zhang, M., Hu, M., Guo, L., & Liu, W. (2017). Understanding relationships among customer experience, engagement, and word-of-mouth intention on online brand communities: The perspective of service ecosystem. Internet Research, 27(4), 839-857.
Zimmermann, P. G. (2008). Beyond usability: measuring aspects of user experience (Doctoral dissertation, ETH Zurich).
