نوع مقاله : مقاله پژوهشی
نویسندگان
1 کارشناس ارشد مدیریت ورزشی، دانشگاه شهید باهنر کرمان
2 استادیار مدیریت ورزشی، دانشگاه شهید باهنر کرمان
چکیده
هدف از پژوهش حاضر، شناسایی و اولویتبندی عوامل تأثیرگذار بر توسعۀ خرید اینترنتی کالاهای ورزشی میباشد. روش این پژوهش از نوع پیمایشی بوده و به لحاظ هدف نیز کاربردی میباشد. جامعۀ آماری پژوهش را استادان و دانشجویان مقطع ارشد و دکتری تربیتبدنی دانشگاههای دولتی سراسر کشور در نیمسال اول سال تحصیلی (94ـ93) (به تعداد 3196 نفر) تشکیل دادند که ازاین میان، 436 نفر براساس جدول مورگان و با روش نمونهگیری خوشهای انتخاب گردیدند. نتایج تحلیل عاملی اکتشافی نشان میدهد که 88/49 درصد از کل واریانسها مربوط به شش عامل میباشد. نتایج بیانگر این است که تمامی عوامل، تأثیر معناداری بر توسعۀ خرید اینترنتی کالاهای ورزشی دارند. همچنین، اولویتبندی عوامل به روش فرایند تحلیل سلسله مراتبی به ترتیب عبارت است از: ریسک خرید، فرایند خرید، ویژگی کالای ورزشی، ویژگیهای مشتریان، ادراک مشتریان از خرید و فناوری. با توجه به یافتههای پژوهش میتوان چنین نتیجه گرفتکه با برنامهریزی و تمرکز روی عوامل تأثیرگذار بر توسعۀ خرید اینترنتی کالاهای ورزشی میتوان شرایطی ایجاد کرد تا مشتریان کالاهای ورزشی با رغبت بیشتری به خرید اینترنتی روی آورند.
کلیدواژهها
عنوان مقاله [English]
Identifying and Prioritization of Factors Affecting Development of Purchasing Sport Goods by Internet
نویسندگان [English]
- Somaye Mohammadi 1
- Tahmoores Nooraee 2
- Esmail Sharifian 2
1 Postgraduate Student, University of shahid bahonar Kerman
2 Asistant Professor of Sport Management University of shahid bahonar Kerman
چکیده [English]
This study has identifying and prioritized the factors that influence the development of internet purchasing sports goods. The research method is a survey and its target is applicable. The population of the research faculty and graduate students and Ph.D. in Physical Education (N=3196) In the first semester of the academic year 94-93 public universities across the country; A total of 436 according to Morgan table patients with cluster were selected. Exploratory factor analysis revealed that 49.88% of the total variances of the six factors. Results showed significant impact of all factors on the development of online shopping sporting goods. AHP method was also prioritizing the factors which are, respectively: risk purchasing, purchasing process, product features sports, features customer acquisition and technology - savvy customers. According to the results, we can conclude that generally focus on factors affecting the planning and development of internet purchasing; sports goods could create conditions to customers, sporting goods and more willing to make purchases on the Internet.
کلیدواژهها [English]
- Internet Purchasing
- Sport Goods
- Prioritization
- Analytic Hierarchy
- Andrews, L., & Bianchi, C. (2013). Consumer internet purchasing behavior in chile. Journal of Business Research, 41(5): 640-58.
- Ansari, M., Rahmani, H., Mir-Kazemi, M., & Jabbarzadeh, M. (2012). Identify and rank the factors affecting the willingness of customers buying online using MADM. Thirteenth International Conference on econometrics and operations research. (Persian)
- Askarian, F., & Jafari, A. (2007). Evaluation of international exchanges for sport in the years 1988 and 2001. Iran's Olympic Journal, 15 (4), 97-103. (Persian)
- Babaei, M. (2010). Investigate the relationship between personality characteristics and buying behavior of Internet users in Iran. Journal of Information Technology Management, 2 (4), 39-58. (Persian)
- Brown, S. P., & Stayman, D. M. (2013). Antecedents and consequences of attitude toward the ad: A meta-analysis. Journal of Consumer Research, 19(1): 34-51.
- Chen, S., & Chang, T. (2003). A descriptive model of online shopping process: Some empirical results. International Journal of Service Industry Management, 14(5): 556– 69.
- Dennis, C., Harris, L., & Sandhu, B. (2004). E-consumer behavior. European Journal of Marketing, 43(9/10): 1121-39.
- Donghun, L., Galen, T., Trail, H., Kwon, F., & Anderson. (2011). Consumer values versus perceived product attributes: Relationships among items from the MVS, PRS, and PERVAL scales. Sport Management Review, 14(2): 89–101.
- Fazio, R. H., & Zanna, M. P. (1981). Direct experience and attitude-behavior consistency. B, Advances in Experimental Social Psychology. New York: Academic Press. 161-202.
- Forsythe, S., Liu, C., Shannon, D., & Gardner, L. C. (2006). Development of a scale to measured perceived benefits and risks of online shopping. Journal of Interactive Marketing, 20(2): 55–75.
- Grandon, E., Nasco, S., & Mykytn, P. (2010). Comparing theories to explain e-commerce adoption. Journal of Business Research, 64(3): 292–98.
- Hassanzadeh., M. (2005). sports marketing. Tehran. (Persian)
- Jafarpoor, M., & Rahmanseresht, H. (2009). The book presents a conceptual model of online shopping and Its Effect on the country's universities. Journal of Business Research, 52, 211-47. (Persian)
- Keshkar, S., Sadeghi, R., Ghasemi, H., & Kargar, Gh. (2013). To determine the willingness of customers to buy goods Sports and the viewpoint of manufacturers, retailers and consumers. Applied research in sport management. 2 (6), 21-32. (Persian)
- Kim, K., Kim J., Park, S. C. (2010). Consumer perceptions on web advertisements and motivation factors to purchase in the online shopping. Computers in human behavior,47, 477-87.
- Lawshe., Ch. (1975) a quantitative approach to content validity. Personnel psychology, 28, 563-75.
- Maldifassi, J. O., & Canessa, E. C. (2010). Information technology in Chile: How perceptions and use are related to age, gender and social class. Journal of Business Research, 31(3): 273–86.
- Nazari, M., & Baghdadi, M. (2013). Identify and examine factors influencing purchases online instant discount store group in Iran. Journal of Information Technology Management, (3), 223-39. (Persian)
- Nematollahi, A., Asemi, A., & Kheradmand, M. (2013). Prioritize the factors affecting online shopping behavior of users by using TOPSIS (Case Study: circular base Encyclopedia Civilica). Bank marketing articles, the http://marketingArticles.ir. (Persian)
- Olfat, L., Khosravani, F., Jalali, R. (2011). Identify and prioritize the factors affecting online shopping using fuzzy ANP. Business Management, 3 (7), 19-36. (Persian)
- Parboteeah, D. V. (2005). A model of online impulse buying: An empirical study. Washington State University.
- Sanayei, A., & Salehnia, M. (2007). Three-dimensional model of the factors affecting online shopping from the customer perspective. First International Conference on Electronic city, Tehran University of Tehran University. (Persian)
- Shekarriz, F. (2004). Effect of technical infrastructure and user agents. Master's thesis, industrial engineering, economic and social systems. (Persian)
- Song, J., Bakr, j., Lee, S., & Wetherbe, j. c. (2012). Examining online consumer’s behavior: A service-oriented view. International Journal of Information Management, 32(3): 221-31.
- Stern, H. (1962). The significance of impulse buying today. Journal of Marketing, 26(2): 59-62.
- Wang, J., Gu, L., & Aiken, M. (2010). A study of impact of individual differences on online shopping. International Journal of e-Business Research, 6(1), 52–67.