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The effects of relationship benefit on relationship quality and store loyalty from convergence environments—NPS analysis and moderating effects

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Abstract

The primary concern of CRM is core customers from convergence environments. They show such passionate partnership with the company that they actively put forth their opinion to improve products and service through voluntary pro-company activities and participate in the development of new products through open innovation. Therefore, the top priority of a company should be given to defining its core customers and accurately understanding and managing them, which would contribute to the growth of the company. This study has the purpose to identify net promoter score (NPS) of company by adopting index that evaluates the degree of customer loyalty to the company in judging the relationship of company and customer, and later on establish strategy to increase the number of loyal customers by classifying customers by the score. It has become more important nowadays how to manage a long-term customer relationship, for it can assure the company of increased income in spite of steep competition with rival companies. Therefore strong customer relationship is an important means of proving the company with competitive edge and maximizing company income. In addition, as NPS serves as adjustment variable, net promoters were analyzed to contribute to store loyalty significantly. The way for bookstore ‘A’ to grow as a company with potential for future growth would be re-establish customers through one more in-depth analysis of customers as well as seek for methods to raise NPS.

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References

  1. Aikaterini, C., Valvi, A. C., & Fragkos, K. C. (2012). Critical review of the e-loyalty literature: a purchase-centered framework. Electronic Commerce Research, 12(3), 331–378.

    Article  Google Scholar 

  2. Anderson, E., & Weitz, B. (1992). The use of pledges to build and sustain commitment in distribution channels. Journal of Marketing Research, 29(1), 18–34.

    Article  Google Scholar 

  3. Anderson, J. C., & Gerbing, D. W. (1988). Structure equation modeling in practice: a review and recommended two-stop approach. Psychological Bulletin, 103(3), 411–423.

    Article  Google Scholar 

  4. Bae, B. R., & Lee, M. W. (2001). The effects of the customer orientation of service provider on relationship quality and repurchase intention. Korea Marketing Journal, 3(2), 21–40.

    Google Scholar 

  5. Bae, S. W., Kim, W. M., & Kim, E. Y. (2005). A study on the effects of relationship benefit in hotel industry on customer loyalty. Tourism Leisure Study, 21(4), 245–265.

    Google Scholar 

  6. Beatty, S. E., Morris, L. M., James, E. C., Reynolds, K. E., & Lee, J. K. (1996). Customer-sales associate retail relationships. J. Retailing, 223–247.

  7. Berry, L. L. (1983). Relationship Marketing in Emerging Perspectives on Service Marketing. Urbana: American Marketing Association.

    Google Scholar 

  8. Berry, L. L., & Parasuraman, A. (1991). Marketing service: competing through quality. New York: Free Press.

    Google Scholar 

  9. Bitner, M. J., Booms, B. H., & Mary, S. T. (1990). The service en-counter: diagnosing favorable and un-favorable incidents. Journal of Marketing, 54(1), 71–84.

    Article  Google Scholar 

  10. Biyalogorsky, E., Gerstenr, E., & Libai, B. (2000). Customer referral management: optimal reward programs. Marketing Science, 20(winter), 82–95.

    Google Scholar 

  11. Bove, L. L., & Johnson, L. W. (2006). Customer loyalty to one service worker: should it be discouraged. International Journal of Research in Marketing, 23(1), 79–91.

    Article  Google Scholar 

  12. Chen, C., & Barnes, S. (2007). Initial trust and online buyer behavior. Industrial Management & Data Systems, 107(1), 21–36.

    Article  Google Scholar 

  13. Chen, I. C., & Hu, S. C. (2012). Gender differences in shoppers’ behavioural reactions to ultra-low price tags at online merchants. Electronic Commerce Research, 12(4), 485–504.

    Article  Google Scholar 

  14. Chen, M. Y., & Teng, C. I. (2013). A comprehensive model of the effects of online store image on purchase intention in an e-commerce environment. Electronic Commerce Research, 13(1), 1–23.

    Article  Google Scholar 

  15. Cho, Y. H., Jeong, H. S., & Yoon, S. C. (2006). The effects of customer’s perception of fairness of complaint processing by tourist agency on customer’s satisfaction degree and behavior intention. Tourism Study, 30(1), 251–269.

    Google Scholar 

  16. Choi, N. H., Na, G. J., & Lee, J. Y. (2001). A study on relation-oriented customer’s word-of-mouth promotion, overall satisfaction of repurchase intention and intermediary role of trust and immersion. Korea Marketing Journal, 2(4), 13–36.

    Google Scholar 

  17. Crosby, L., & Stephens, N. (1987). Effects of relationship marketing on satisfaction, retention, and prices in the life insurance industry. Journal of Marketing Research, 26, 404–411.

    Article  Google Scholar 

  18. Crosby, L., Evans, K. R., & Cowles, D. (1990). Relationship quality in services selling: an international influence perspective. Journal of Marketing, 54(3), 68–81.

    Article  Google Scholar 

  19. Dawn, G., Gregg, D. G., & Walczak, S. (2010). The relationship between website quality, trust and price premiums at online auctions. Electronic Commerce Research, 10(1), 1–25.

    Article  Google Scholar 

  20. Dick, A. S., & Basu, K. (1994). Customer loyalty: toward an integrated conceptual framework. Journal of the Academy of Marketing Science, 22(2), 99–113.

    Article  Google Scholar 

  21. Dodds, W. B. (1991). In search of value: how price and store name information influence buyer’s product perception. The Journal of Consumer Marketing, 8(2), 15–24.

    Article  Google Scholar 

  22. Ganesan, S. (1994). Determinants of long-term orientation in buyer-seller relationships. Journal of Marketing, 58, 1–19.

    Article  Google Scholar 

  23. Ghilagaber, G. (2004). Another look at Chow’s test for the equality of two heterocedastic regression models. Quality and Quantity, 38, 81–93.

    Article  Google Scholar 

  24. Gundlach, G. T., & Murphy, P. E. (1993). Ethical and legal foundations of relational marketing exchanges. Journal of Marketing, 57(4), 35–46.

    Article  Google Scholar 

  25. Gutman, J. (1982). A means-end chain based on consumer categorization processes. Journal of Marketing, 46, 60–72.

    Article  Google Scholar 

  26. Gwinner, K. P., Gremler, D. D., & Bitner, M. J. (1998). Relational benefits in services industry: the customer’s perspective. Journal of the Academy of Marketing Science, 26(1), 101–114.

    Article  Google Scholar 

  27. Haley Russel, I. (1968). Benefit segmentation: a decision-oriented research tool. Journal of Marketing, 32, 30–35.

    Article  Google Scholar 

  28. Han, S. L. (2003). A study on the antecedents of buyer and supplier relationship and transaction accomplishments in industrial market. Logistics Study, 8(1), 1–19.

    Google Scholar 

  29. Henning-Thurau, T., Gwinner, K. P., & Gremler, D. D. (2002). Understanding relationship marketing outcomes, an integration of relational benefits and relational quality. Journal of Service Research, 4(3), 230–247.

    Article  Google Scholar 

  30. Hess, C. J., & Story, J. (2005). Trust-based commitment: multidimensional consumer-brand relationships. The Journal of Consumer Marketing, 22(6), 313–322.

    Article  Google Scholar 

  31. Jang, H. S., & Kim, G. S. (1999). An analysis of the effects of customer’s perception of relationship convenience on service accomplishments. Marketing Journal, 8(2), 83–118.

    Google Scholar 

  32. Kim, G. S., & Lee, S. B. (2009). A study on the effects of element satisfaction and customer satisfaction on the recommendation intention of NPS (net promoter score)—with focus on kitchen utensils. The Quality Management Journal, 37(2), 58–67.

    Google Scholar 

  33. Kim, J., & Paul, M. (1999). Relationship marketing in Japan: the buyer-supplier relationships of four automakers. The Journal of Business & Industrial Marketing, 14(2), 118–129.

    Article  Google Scholar 

  34. Kim, J. B. (2012). An empirical study on consumer first purchase intention in online shopping: integrating initial trust and TAM. Electronic Commerce Research, 12(2), 125–150.

    Article  Google Scholar 

  35. Kotler, P., & Amstrong, G. (2007). Principles of marketing, 12. New York: Prentice Hall, Inc.

    Google Scholar 

  36. Leanne, H. Y. T., Souchon, A. L., & Thirkell, P. C. (2001). Relationship marketing and customer loyalty in a retail setting: a dyadic exploration. Journal of Marketing Management, 17, 287–319.

    Google Scholar 

  37. Lee, M. G. (1999). A study on the determinant factors of service loyalty. Marketing Study, 14(1), 21–45.

    Google Scholar 

  38. Lee, M. W. (1999). A discussion on service relationship marketing. Industrial Economy Study, 13(4), 271–388.

    Google Scholar 

  39. Lee, J. H. (2005). A study on the effects of hotel relationship benefits on re-visit intention. Tourism Business Administration Study, 9(3), 361–384.

    Google Scholar 

  40. Lee, J. Y. (2007). Interaction of relationship tendency and relationship benefit for formation of relationship. Danguk University Graduate School, Ph.D. dissertation.

  41. Lee, Y. G., Choi, B. H., & Moon, H. N. (2002). The effects of relationship benefits on customer’s satisfaction of employee and food business, and customer loyalty. Business Administration Study, 31(2), 373–404.

    Google Scholar 

  42. Levitt, T. (1981). Marketing intangible products and products intangibles. Harvard Business Review, 59, 95–102.

    Google Scholar 

  43. Lim, C. H. (1998). Positive study on determinant factors, satisfaction degree and fondness degree in determining internet shopping mall. Korea University Graduate School Master’s degree dissertation.

  44. Lu, Z., Wang, L. Z., Yu, C. S., & Wu, J. Y. (2009). E-auction web assessment model in China. Electronic Commerce Research, 9(3), 149–172.

    Article  Google Scholar 

  45. Luo, H., & Shyu, M. L. (2011). Quality of service provision in mobile multimedia—a survey. Human-Centric Computing and Information Sciences, 1(5), 162–174.

    Google Scholar 

  46. Marios, D. S., & Cinà, V. Z. (2013). Electronic word-of-mouth and online reviews in tourism services: the use of twitter by tourists. Electronic Commerce Research, 13(1), 103–124.

    Article  Google Scholar 

  47. Matej, M. (2013). Banks and information technology: marketability vs. relationships. Electronic Commerce Research, 13(1), 71–101.

    Article  Google Scholar 

  48. Maxham, J. G., & Netemeyer, R. G. (2002). Modeling customer perceptions of complaint handing over time: the effect of perceived justice on satisfaction and intent. Journal of Retailing, 78(4), 239–252.

    Article  Google Scholar 

  49. Maute, M. F., William, R., Rorrester, J., & Carey, S. S. (1994). Relationship between providers and users of marketing research: the dynamics of trust within and between organizations. Journal of Marketing Research, 29, 314–329.

    Google Scholar 

  50. Min, D. G., Kim, D. S., & Kim, G. J. (2006). Relative effects of service quality and reliability in on-line shopping mall on customer satisfaction and loyalty. Korea Industrial Information Society Journal, 11(2), 29–39.

    Google Scholar 

  51. Moorman, C., Zaltman, G., & Deshpande, R. (1992). Relationship between providers and users of market research: the dynamics of trust within and between organization. Journal of Marketing Research, 29, 314–328.

    Article  Google Scholar 

  52. Morgan, R. M., & Hunt, S. D. (1994). The commitment-trust theory of relationship marketing. Journal of Marketing, 58(3), 20–38.

    Article  Google Scholar 

  53. Oliver, R. L. (1997). Satisfaction: a behavioral perspective on the consumer. New York: McGraw-Hill.

    Google Scholar 

  54. Park, B. G. (2008). The effects of interactive components in on-line brand community on brand assets. Korea Industrial Information Society Journal, 13(4), 155–171.

    Google Scholar 

  55. Raj, S. P. (1982). The effects of advertising on high and low loyalty consumer segments. Journal of Consumer Research, 9(1), 77–89.

    Article  Google Scholar 

  56. Reichheld, F. F. (2003). The one number you need to grow. Harvard Business Review, 81(12), 46–54.

    Google Scholar 

  57. Reichheld, F. F., & Schefter, P. (2000). E-loyalty your secret weapon on the web. Harvard Business Review, 78(4), 105–113.

    Google Scholar 

  58. Selnes, F. (1998). Antecedents and consequences of trust and satisfaction in buyer-seller relationships. European Journal of Marketing, 32(3), 305–322.

    Article  Google Scholar 

  59. Shemwell, D. J., Cronin, J., & Bullard, W. R. (1994). Relational exchange in service: an empirical investigation of ongoing customer service-provider relationships. International Journal of Service Industry Management, 5(3), 57–68.

    Article  Google Scholar 

  60. Song, J. Y., & Lee, H. Y. (2007). A study on the difference of CRM effects by industrial and customer characteristics. Korean Industrial Information Society Journal, 12(4), 1–14.

    Google Scholar 

  61. Srinivasan, M. V., & Wind, J. (2002). The dot.com retail failures of were there any winners. Journal of the Academy of Marketing Science, 30(Special Issue), 474–486.

    Google Scholar 

  62. Saba, T. (2012). Implications of e-learning systems and self-efficiency on students outcomes: a model approach. Human-Centric Computing and Information Sciences, 2(6), 15–27.

    Google Scholar 

  63. Tong, L., Fajiang, Y., Yang, L., Xueyuan, K., & Yue, Y. (2011). Trusted computing dynamic attestation using a static analysis based behaviour model. Journal of Convergence, 2(1), 61–68.

    Google Scholar 

  64. Weun, S., Betty, S. E., & Jones, M. A. (2004). The impact of service failure severity on service recovery evaluations and post-recovery relationships. The Journal of Services Marketing, 18(2), 133–146.

    Article  Google Scholar 

  65. Woodside, A. G., Frey, L. L., & Daly, R. T. (1989). Linking service quality, customer satisfaction and behavioral intention. Journal of Health Care Marketing, 9, 5–17.

    Google Scholar 

  66. Yang, H. D., Hwang, S. S., & Park, M. A. (2010). A case study on the strategy of Internet brand extension. Korea Industrial Information Society Journal, 15(1), 95–107.

    Google Scholar 

  67. Yi, Y. (1990). A critical review of consumer satisfaction. In V. A. Zeithaml (Ed.), Review of marketing (Vol. 4(1), pp. 68–123). Chicago, IL: American Marketing Association.

    Google Scholar 

  68. Yoon, S. W., & Ryu, J. G. (2002). A study on the model of relationship formation in medical service industry. Consumption Culture Study, 5(2), 1–27.

    Google Scholar 

  69. Yoon, S. W., Yoo, M. G., & Seo, M. O. (2007). A comparative study of Korea and Japan on service failure and restoration strategy. Tourism Leisure Study, 19(3), 223–241.

    Google Scholar 

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Jang, J.H., Kim, S.W., Lee, Y.S. et al. The effects of relationship benefit on relationship quality and store loyalty from convergence environments—NPS analysis and moderating effects. Electron Commer Res 13, 291–315 (2013). https://doi.org/10.1007/s10660-013-9117-0

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