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  • P-ISSN1738-3110
  • E-ISSN2093-7717
  • SCOPUS, ESCI

Two Factors of Overseas Online Shopping : Self-Efficacy and Impulsivity

The Journal of Distribution Science / The Journal of Distribution Science, (P)1738-3110; (E)2093-7717
2018, v.16 no.8, pp.79-89
https://doi.org/https://doi.org/10.15722/jds.16.8.201808.79
Lee, Han-Suk

Abstract

Purpose - This research aims to investigate the factors that influence consumer's overseas online shopping behavior. Consumers adopt overseas online shopping as a new buying way and more and more consumers prefer overseas online shopping than traditional shopping ways. Consumers' behaviors in this shopping experience can be different from other shopping experiences. With the increase of overseas online shopping, we need to find antecedents and results of overseas online shopping. Especially there would be positive or negative factors which influence overseas online shopping motivation. To find the relationship, this study examines self-efficacy and impulsivity as major factors which influence overseas online shopping. We also suggest that several attitude factors increase self-efficacy and it is positively related to customer satisfaction. On the other hand, we assume that overseas online shopping factors influence impulsivity of buying and it will decrease customer satisfaction. Research design, data, and methodology - This empirical study data were collected from Korean people who experience overseas online shopping. The subjects for this study were confined to shoppers who used overseas online shopping within the past six months. A total of 267 responses were gathered. SPSS 23.0, PLS 2.0 software were used in the data analysis. Descriptive statistics were used to show sample characteristics. We examined reliability, validity test for constructs. All measurement items used seven-point scales(1= very strong disagree, 7 = very strongly agree) drawn from previously published papers. Partial Least Square method was applied to find the relationship between antecedent factors and dependent factors and hypotheses were estimated. Results - Results show that perceived superiority, perceived ease of use, perceived transaction safety, perceived behavioral control positively affect self-efficacy. Self-efficacy influences positively to consumer's post purchase satisfaction. Perceived monetary benefit and perceived uniqueness motivated impulse buying. This can make consumer's post purchase dissatisfaction. Conclusions - This paper attempted to confirm the existence of both the positive and negative faces of overseas online shopping. The result reveals that self-efficacy is a major factor which may increase satisfaction in the overseas online shopping. Usually, we can think monetary benefit and uniqueness of products motivate overseas online shopping. But it can also intrigue impulse buying and negatively affect customer relationship. Therefore companies should provide enough products information to their potential customers and they might apply adequate processes such as recommendation, comparing systems to build long term relationship with their customers.

keywords
Overseas Online Shopping, Self-Efficacy, Buying Impulsivity, Post Purchase Satisfaction, Channel Management

Reference

1.

Ajzen, I., & Madden, T. J. (1986). Prediction of goal-directed behavior-attitudes, intentions, and perceived behavioral-control. Journal of Experimental Social Psychology, 22(5), 453-474.

2.

Alhorr, H. S., Singh, N., & Kim, S. H. (2010). E-Commerce On The Global Platform: Strategic Insights On The Localization-Standardization Perspective. Journal of Electronic Commerce Research, 11(1), 6-13.

3.

Bandura, A. (1977). Self-efficacy: Toward a unifying theory of behavioral change. Psychological Review, 84(2), 191–215.

4.

Baty, J. B., & Lee, R. M. (1995). InterShop: enhancing the vendor/customer dialectic in electronic shopping. Journal of Management Information Systems, 11(4), 9-31.

5.

Bian, Q., & Forsythe, S. (2012). Purchase intention for luxury brands: A cross cultural comparison. Journal of Business Research, 65(10), 1443-1451.

6.

Bruner G. C., James, K. E., & Hensel, P. J. (2005). Marketing Scales Handbook. A Compilation of Multi-Item Measures for Advertising and Consumer Behavior. Mason, Ohio: Thompson Publishing.

7.

Cachon, G. P., Terwiesch, C., & Xu, Y. (2008). On the effects of consumer search and firm entry in a multiproduct competitive market. Marketing Science, 27(3), 461-473.

8.

Caprara, G. V., Barbaranelli, C., Borgogni, L., Petitta, L., & Rubinacci, A. (2003). Teachers’, school staff’s and parents’ efficacy beliefs as determinants of attitudes toward school. European Journal of Psychology of Education, 18(1), 15–31.

9.

Cassel, C. M., Hackl, P., & Westlund, A. H. (1999). Robustness of Partial Least-Squares Method for Estimating Latent Variable Equality Structures. Journal of Applied Statistics, 26(4), 435-446.

10.

Chih, W. H., Wu, C. H. J., & Li, H. J. (2012). The antecedents of consumer online buying impulsiveness on a travel website: Individual internal factor perspectives. Journal of Travel & Tourism Marketing, 29(5), 430-443.

11.

Chin, W. W., & Todd, P. A. (1995). On the Use, Usefulness and Ease of Use of Structural Equation Modeling in MIS Re- search: A Note of Caution. MIS Quarterly, 19(2), 237-246.

12.

DeWitz, S. J., & Walsh, W. B. (2002). Self-efficacy and college student satisfaction. Journal of Career Assessment, 10(3), 315–326.

13.

Dittmar, H., & Drury, J. (2000). Self-image–is it in the bag? A qualitative comparison between “ordinary” and “excessive” consumers. Journal of Economic Psychology, 21(2), 109-142.

14.

Ellen, P. S., Bearden, W. O., & Sharma, S. (1991). Resistance to technological innovations: Examination of the role of self-efficacy and performance satisfaction. Journal of the Academy of Marketing Science, 19(4), 297–307.

15.

Fornell, C., & Bookstein, F. L. (1982), Two Structural Equation Models with Unobservable Variables and Measurement Error. Journal of Marketing Research, 18(1), 39-50.

16.

Fornell, C., & Larcker, D. F. (1981). Structural equation models with unobservable variables and measurement error: Algebra and statistics. Journal of Marketing Research, 18(3), 382-388.

17.

Gefen, D. (2000). E-commerce: the role of familiarity and trust. Omega, 28(6), 725-737.

18.

Gefen, D., Karahanna, E., & Straub, D. W. (2003). Trust and TAM in online shopping: An integrated model. MIS Quarterly, 27(1), 51-90.

19.

Gist, M. E. (1987). Self-efficacy: Implications for organizational behavior and human resource management. Academy of Management Review, 12(3), 472–485.

20.

Gist, M. E., & Mitchell, T. R. (1992). Self-efficacy: A theoretical analysis of its determinants and malleability. Academy of Management Review, 17(2), 183–211

21.

Hahn, Y., & Kim, D. (2016). Corporate Social Responsibility: A Comparison Analysis. The East Asian Journal of Business Management, 6(4), 13-17.

22.

Halim, R. E., & Muttaqin, F. (2014). The Effect of Warning Labels on Cigarette Packages: Textual vs. Textual-Visual and Self-Efficacy. The Journal of Asian Finance, Economics and Business (JAFEB), 1(2), 25-30.

23.

Henseler, J., Ringle, C. M., & Sinkovics, R. R. (2009). The Use of Partial Lease Squares Path Modeling in International Marketing. New Challenges to International Marketing Advanced in International Marketing, 0, 277-319.

24.

Jreskog, K. A., & Srbom, D. (1989). LISREL-7 User'S Reference Guide. Mooresville, IN: Scientific Software.

25.

Kawa, A., & Zdrenka, W. (2016). Conception of integrator in cross-border e-commerce. LogForum, 12, 63-73.

26.

KBS News (2016). Overseas Online Diet Product was Animal Pharmacy, KBS news, Retrieved June 10, 2018 from http://news.kbs.co.kr/news/view.do?ncd=3309005&ref=A

27.

Korea Trade News (2015). Overseas shopping mall under investigation for fraud, Korea Trade News, Retrieved June 10, 2018 from http://jedam15.koreafree.co.kr/news/view.html?section=1&category=3&item=&no=5231

28.

Lee, H., & Hong, S. (2016). Perceived Customer Value and Repurchase Intention in Overseas Online Shopping Purchase: The Role of Switching Cost from Transaction Cost -Aviation Logistics Industry. Journal of the Aviation Management Society of Korea, 14(3), 61-82.

29.

Lee, T., Park, C., & Jun, J. (2014). Two faces of mobile shopping: Self-efficacy and impulsivity. International Journal of e-Business Research(IJEBR), 10(1), 15-32.

30.

Maddux, J. E., Norton, L. W., & Stoltenberg, C. D. (1986). Self-efficacy expectancy, outcome expectancy, and outcome value: Relative effects on behavioral intentions. Journal of Personality and Social Psychology, 51(4), 783–789.

31.

Maeil Newspaper (2016). Caution for fraud: Overseas online shopping mall, Maeil Newspaper, Retrieved June 10, 2018 from http://news.mk.co.kr/newsRead.php?no=304534&year=2016

32.

McKee, D., Simmers, C. S., & Licata, J. (2006). Customer self-efficacy and response to service. Journal of Service Research, 8(3), 207-220.

33.

Meuter, M. L., Bitner, M. J., Ostrom, A. L., & Brown, S. W. (2005). Choosing among alternative service delivery modes: An investigation of customer trial of self-service technologies. Journal of Marketing, 69, 61–83.

34.

Parasuraman, A. (2000). Technology Readiness Index (TRI) a multiple-item scale to measure readiness to embrace new technologies. Journal of service research, 2(4), 307-320.

35.

Park, Y. S. (2015). Does the Rise of the Korean Wave Lead to Cosmetics Export?. Journal of Asian Finance, Economics and Business, 2(4), 13-20.

36.

Pavlou, P. A., & Fygenson, M. (2006). Understanding and predicting electronic commerce adoption: An extension of the theory of planned behavior. MIS quarterly, 30(1), 115-143.

37.

Piron, F. (1991). Defining impulse purchasing. Advances in Consumer Research North American Advances, 18, 509–514.

38.

Prashar, S., Raja, A., Parasaran, V. S., & Venna, V. K. (2015). Factors prompting impulse buying behavior: Shoppers in Dubai. The East Asian Journal of Business Management(EAJBM), 5(3), 5-15.

39.

Prashar, S., Vijay, T. S., & Parsad, C. (2015). Selecting a Web Portal for Online Shopping: A Conceptual Approach Using Interpretive Structural Modeling. The East Asian Journal of Business Management (EAJBM), 5(4), 37-46.

40.

Ratchford, B. T., Talukdar, D., & Lee, M. S. (2001). A model of consumer choice of the Internet as an information source. International Journal of Electronic Commerce, 5(3), 7-21.

41.

Reinartz, W., Haenlein, M., & Henseler, J. (2009). An Empirical Comparison of the Efficacy of Covariance-based and Variance-based SEM. International Journal of Research in Marketing, 26(4), 332-344.

42.

Ryan, R. M., & Deci, E. L. (2000). Self-determination theory and the facilitation of intrinsic motivation, social development, and well-being. The American Psychologist, 55, 68–78.

43.

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.

44.

Singh, D. P. (2014). Online shopping motivations, information search, and shopping intentions in an emerging economy. The East Asian Journal of Business Management, 4(3), 5-12.

45.

Smith, A., Fuqua, D., Choi, N., & Jody, N. (2011). Role ambiguity as a moderator of occupational self-efficacy and job satisfaction. Psychological Reports, 109(1), 243–251.

46.

Spears, N. (2006). Just moseying around and happening upon it versus a master plan: Minimizing regret in impulse versus planned sales promotion purchases. Psychology & Marketing, 23(1), 57-73.

47.

Stajkovic, A. D., & Luthans, F. (1988). Self efficacy and work-related performance: A meta analysis. Psychological Bulletin, 124(2), 240–261.

48.

Stern, H. (1962). The significance of impulse buying today. Journal of Marketing, 26(2), 59–62.

49.

Van Slyke, C., Lou, H., Belanger, F., & Sridhar, V. (2010). The influence of culture on consumer- oriented electronic commerce adoption. Journal of Electronic Commerce Research, 11(1), 30-40.

50.

Venkatesh, V., & Davis, F. D. (1996). A model of the antecedents of perceived ease of use: Development and test. Decision Sciences, 27(3), 451–481.

51.

Wang, J. (2014). Opportunities and Challenges of International e-Commerce in the Pilot Areas of China. International Journal of Marketing Studies, 6(6), 141-149.

52.

Wells, J. D., Parboteeah, V., & Valacich, J. S. (2011). Online impulse buying: Understanding the interplay between consumer impulsiveness and website quality. Journal of the Association for Information Systems, 12(1), 32-56.

53.

Wold, H. (1985). Partial Least Squares. Encyclopedia of Statistical Sciences, 6, 581-591.

54.

Wood, M. (1998). Socioeconomic status, delay of gratification, and impulse buying. Journal of Economic Psychology, 19(3), 295–320.

55.

Yi, M. Y., & Hwang, H. J. (2003). Predicting the use of web-based information systems: Self-efficacy, enjoyment, learning goal orientation, and the technology acceptance model. International Journal of Human-Computer Studies, 59(4), 431–449.

56.

Yoon, S. J. (2002). The antecedents and consequences of trust in online‐purchase decisions. Journal of Interactive Marketing, 16(2), 47-63.

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