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The influence of impulse buying toward consumer loyalty in online shopping: a regulatory focus theory perspective

  • Ching-Torng Lin
  • Chien-Wen Chen
  • Shu-Jin Wang
  • Chiu-Ching Lin
Original Research
  • 27 Downloads

Abstract

In this advanced information generation, more and more people are buying products on the Internet. Therefore, all kinds of different stimuli are likely to cause impulsive buying. However, existing researches regarding online impulse buying are mainly from the psychological state of the environment, which lacks research linking to customers’ personality characteristics. Furthermore, the sustainable growth of online shopping is largely attributed to consumers’ loyalty, and understanding consumer behavior is one of the keys to maintaining consumers’ loyalty. The regulatory focus theory is primarily a psychological theory that has been used to explain several aspects of psychology, such as persuasions and motivations. Based on the regulatory focus theory, this study proposes two personality characteristics: promotion focus and prevention focus, which affect consumer’s impulse buying, cognitive dissonance, and satisfaction, and finally, lead to consumer loyalty (attitudinal loyalty and behavioural loyalty). Data from 505 customers who bought clothes on the internet are collected to test the concept model, and the results indicate that customer satisfaction is the most important factor to affect attitudinal loyalty and behavioural loyalty, followed by the promotion focus. In addition, promotion focus is found to have the largest impact on customers’ satisfaction, followed by cognitive dissonance. Hence, it is very important for Internet retailers to develop and implement a proper product strategy to attract promotion-focused customers to increase impulsive buying and enhance customer satisfaction. Finally, apparel proprietors on the internet must reduce the customers’ cognitive dissonance in order to raise customer satisfaction, and then, promote customer loyalty.

Keywords

Regulatory focus theory Impulsive buying Cognitive dissonance Satisfaction Loyalty 

Notes

Acknowledgements

Research was supported by the Ministry of Science and Technology, Taiwan (Grant no. 106-2914-I-035-021-A1).

References

  1. Andrews MC, Kacmar KM, Kacmar C (2014) The mediational effect of regulatory focus on the relationships between mindfulness and job satisfaction and turnover intentions. Career Dev Int 19(5):494–507CrossRefGoogle Scholar
  2. Arnold MJ, Reynolds KE (2009) Affect and retail shopping behavior: understanding the role of mood regulation and regulatory focus. J Retail 85(3):308–320CrossRefGoogle Scholar
  3. Arnold MJ, Reynolds KE, Jones MA, Tugut M, Gabler CB (2014) Regulatory focus intensity and evaluations of retail experiences. Psychol Mark 31(11):958–975CrossRefGoogle Scholar
  4. Ashraf AR, Razzaque MA, Thongpapanl NT (2016a) The role of customer regulatory orientation and fit in online shopping across cultural contexts. J Bus Res 69(12):6040–6047CrossRefGoogle Scholar
  5. Ashraf AR, Thongpapanl NT, Spyropoulou S (2016b) The connection and disconnection between e-commerce businesses and their customers: exploring the role of engagement, perceived usefulness, and perceived ease-of-use. Electron Commer Res Appl 20:69–86CrossRefGoogle Scholar
  6. Bagozzi RP, Yi Y (1988) On the evaluation of structural equation models. J Acad Mark Sci 16(1):74–94CrossRefGoogle Scholar
  7. Barclay DC, Higgins C, Thompson R (1995) The partial least squares approach to causal modeling: personal computer adoption and use as an illustration. Technol Stud 2(2):285–308Google Scholar
  8. Bellini S, Cardinali MG, Grandi B (2017) A structural equation model of impulse buying behaviour in grocery retailing. J Retail Consum Serv 36:164–171CrossRefGoogle Scholar
  9. Bitner MJ, Zeithaml VA (2003) Service marketing, 3rd edn. McGraw Hill, New DelhiGoogle Scholar
  10. Boesen-Mariani S, Gomez P, Gavard-Perret ML (2010) L’orientation régulatrice: un concept prometteur en marketing. Rech Appl Mark (Fr Ed) 25(1):87–106.  https://doi.org/10.1177/076737011002500104 Google Scholar
  11. Chan TK, Cheung CM, Lee ZW (2017) The state of online impulse-buying research: a literature analysis. Inf Manag 54(2):204–217CrossRefGoogle Scholar
  12. Chang Y (2017) The influence of media multitasking on the impulse to buy: a moderated mediation model. Comput Hum Behav 70:60–66CrossRefGoogle Scholar
  13. Chen SC (2012) The customer satisfaction–loyalty relation in an interactive e-service setting: the mediators. J Retail Consum Serv 19(2):202–210CrossRefGoogle Scholar
  14. Chen CWD, Cheng CYJ (2009) Understanding consumer intention in online shopping: a respecification and validation of the DeLone and McLean model. Behav Inf Technol 28(4):335–345CrossRefGoogle Scholar
  15. Chen JV, Su BC, Widjaja AE (2016) Facebook C2C social commerce: a study of online impulse buying. Decis Support Syst 83:57–69CrossRefGoogle Scholar
  16. Chih W-H, Wu CH-J, Li H-J (2012) The antecedents of consumer online buying impulsiveness on a travel website: individual Internal factor perspectives. J Travel Tour Mark 29(5):430–443CrossRefGoogle Scholar
  17. Chin WW (1998) Issues and opinion on structural equation modeling. MIS Q 22(1):7–16Google Scholar
  18. Coley A, Burgess B (2003) Gender differences in cognitive and affective impulse buying. J Fash Mark Manag 7(3):282–295CrossRefGoogle Scholar
  19. D’Aniello G, Gaeta A, Gaeta M, Lepore M, Orciuoli F, Troisi O (2016) A new DSS based on situation awareness for smart commerce environments. J Ambient Intell Humaniz Comput 7(1):47–61CrossRefGoogle Scholar
  20. Das G (2015) Retail shopping behaviour: understanding the role of regulatory focus theory. Int Rev Retail Distrib Consum Res 25(4):431–445MathSciNetCrossRefGoogle Scholar
  21. Das G (2016) Regulatory focus as a moderator of retail shopping behaviour. J Strateg Mark 24(6):484–499CrossRefGoogle Scholar
  22. Das G, Das G (2016) Understanding the role of regulatory focus in e-tailing activities. J Serv Mark 30(2):212–222CrossRefGoogle Scholar
  23. Das G, Varshneya G (2017) Consumer emotions: determinants and outcomes in a shopping mall. J Retail Consum Serv 38:177–185CrossRefGoogle Scholar
  24. Deng Z, Yaobin L, Wei KK, Zhang J (2010) Understanding customer satisfaction and loyalty: an empirical study of mobile instant messages in China. Int J Inf Manag 30(4):289–300CrossRefGoogle Scholar
  25. Falk RF, Miller NB (1992) A primer for soft modeling. University of Akron Press, AkronGoogle Scholar
  26. Flint DJ, Blocker CP, Boutin PJ (2011) Customer value anticipation, customer satisfaction and loyalty: an empirical examination. Ind Mark Manag 40(2):219–230CrossRefGoogle Scholar
  27. Floh A, Madlberger M (2013) The role of atmospheric cues in online impulse-buying behavior. Electron Commer Res Appl 12(6):425–439CrossRefGoogle Scholar
  28. Fornell C, Larcker DF (1981) Evaluating structural equation models with unobservable and measurement error. J Mark 18(1):39–50CrossRefGoogle Scholar
  29. Gelbrich K (2009) Beyond just being dissatisfied: how angry and helpless customers react to failures when using self-service technologies. Schmalenbach Bus Rev 61:40–61CrossRefGoogle Scholar
  30. George BP, Yaoyuneyong G (2010) Impulse buying and cognitive dissonance: a study conducted among the spring break student shoppers. Young Consum 11(4):291–306CrossRefGoogle Scholar
  31. Hair JF, Black B, Babin B, Anderson RE (2010) Multivariate data analysis: a global perspective, 7th edn. Prentice Hall, Upper Saddle RiverGoogle Scholar
  32. Haws KL, Dholakia UM, Bearden WO (2010) An assessment of chronic regulatory focus measures. J Mark Res 47(5):967–982CrossRefGoogle Scholar
  33. Higgins ET (1997) Beyond pleasure and pain. Am Psychol 52(12):1280–1300CrossRefGoogle Scholar
  34. Higgins ET (2002) How self-regulation creates distinct values: the case of promotion and prevention decision making. J Consum Psychol 12(3):177–191CrossRefGoogle Scholar
  35. Higgins ET, Roney CJ, Crowe E, Hymes C (1994) Ideal versus ought predilections for approach and avoidance distinct self-regulatory systems. J Pers Soc Psychol 66(2):276–286CrossRefGoogle Scholar
  36. Higgins ET, Shah J, Friedman R (1997) Emotional responses to goal attainment: strength of regulatory focus as moderator. J Pers Soc Psychol 72(3):515–525CrossRefGoogle Scholar
  37. Higgins ET, Friedman RS, Harlow RE, Idson LC, Ayduk ON, Taylor A (2001) Achievement orientations from subjective histories of success: promotion pride versus prevention pride. Eur J Soc Psychol 31(1):3–23CrossRefGoogle Scholar
  38. Hsu MH, Yen CH, Chiu CM, Chang CM (2006) A longitudinal investigation of continued online shopping behavior: an extension of the theory of planned behavior. Int J Hum Comput Stud 64(9):889–904CrossRefGoogle Scholar
  39. Hsu MH, Chang CM, Chuang LW (2015) Understanding the determinants of online repeat purchase intention and moderating role of habit: the case of online group-buying in Taiwan. Int J Inf Manag 35(1):45–56CrossRefGoogle Scholar
  40. Huang LT (2016) Flow and social capital theory in online impulse buying. J Bus Res 69(6):2277–2283CrossRefGoogle Scholar
  41. Imam F (2013) Gender differences in impulsive buying behavior and post-purchasing dissonance under incentive conditions. J Bus Strateg 7(1):23–29Google Scholar
  42. Jones MA, Reynolds KE, Weun S, Beatty SE (2003) The product-specific nature of impulse buying tendency. J Bus Res 56(7):505–511CrossRefGoogle Scholar
  43. Jones MY, Vilches-Montero S, Spence MT, Eroglu SA, Machleit KA (2010) Do Australian and American consumers differ in their perceived shopping experiences? A bi-cultural analysis. Int J Retail Distrib Manag 38(8):578–596CrossRefGoogle Scholar
  44. Jung H, Yoon H (2015) Understanding regulatory focuses: the role of employees’ regulatory focus in stress coping styles, and turnover intent to a five-star hotel. Int J Contemp Hosp Manag 27(2):283–307MathSciNetCrossRefGoogle Scholar
  45. Kaptein MC, Markopoulos P, de Ruyter B, Aarts E (2010) Persuasion in ambient intelligence. J Ambient Intell Humaniz Comput 1(1):43–56CrossRefGoogle Scholar
  46. Keil M, Tan BC, Wei KK, Saarinen T, Tuunainen V, Wassenaar A (2000) A cross-cultural study on escalation of commitment behavior in software projects. MIS Q 24(2):299–325CrossRefGoogle Scholar
  47. Kim YS (2011) Application of the cognitive dissonance theory to the service industry. Serv Mark Q 32(2):96–112MathSciNetCrossRefGoogle Scholar
  48. Kuo YF, Wu CM (2012) Satisfaction and post-purchase intentions with service recovery of online shopping websites: perspectives on perceived justice and emotions. Int J Inf Manag 32(2):127–138CrossRefGoogle Scholar
  49. Lanaj K, Chang C, Johnson RE (2012) Regulatory focus and work-related outcomes: a review and meta-analysis. Psychol Bull 138(5):998–1034CrossRefGoogle Scholar
  50. Leong LY, Jaafar NI, Sulaiman A (2017) Understanding impulse purchase in Facebook commerce: does Big Five matter? Internet Res 27(4):786–818CrossRefGoogle Scholar
  51. Leong LY, Jaafar NI, Ainin S (2018) The effects of Facebook browsing and usage intensity on impulse purchase in f-commerce. Comput Hum Behav 78:160–173CrossRefGoogle Scholar
  52. Liao S-H, Chu P-H, Chen Y-J, Chang C-C (2012) Mining customer knowledge for exploring online group buying behavior. Expert Syst Appl 39(3):3708–3716CrossRefGoogle Scholar
  53. Lim SH, Lee S, Kim DJ (2017) Is online consumers’ impulsive buying beneficial for e-commerce companies? An empirical investigation of online consumers’ past impulsive buying behaviors. Inf Syst Manag 34(1):85–100CrossRefGoogle Scholar
  54. Lin C, Lin H (2005) An exploration of Taiwanese adolescents’ impulsive buying tendency. Adolescence 40(157):215–223Google Scholar
  55. Liu CT, Guo YM, Lee CH (2011) The effects of relationship quality and switching barriers on customer loyalty. Int J Inf Manag 31(1):71–79CrossRefGoogle Scholar
  56. Market Intelligence and Consulting Institute (MIC) (2017) The survey of online shopping in Taiwan in 2017. http://mic.iii.org.tw/index.asp. Accessed 10 Mar 2017
  57. Mohan G, Sivakumaran B, Sharma P (2013) Impact of store environment on impulse buying behavior. Eur J Mark 47(10):1711–1732CrossRefGoogle Scholar
  58. Mosteller J, Poddar A (2017) To share and protect: using regulatory focus theory to examine the privacy paradox of consumers’ social media engagement and online privacy protection behaviors. J Interact Mark 39:27–38CrossRefGoogle Scholar
  59. Nota G, Aiello R (2017) The interaction type approach to relationships management. J Ambient Intell Humaniz Comput.  https://doi.org/10.1007/s12652-017-0643-9 Google Scholar
  60. Novak TP, Hoffman DL (2009) The fit of thinking style and situation: new measures of situation-specific experiential and rational cognition. J Consum Res 36(1):56–72CrossRefGoogle Scholar
  61. Olsen SO, Tudoran AA, Honkanen P, Verplanken B (2016) Differences and similarities between impulse buying and variety seeking: a personality-based perspective. Psychol Mark 33(1):36–47CrossRefGoogle Scholar
  62. Orciuoli F, Parente M (2017) An ontology-driven context-aware recommender system for indoor shopping based on cellular automata. J Ambient Intell Humaniz Comput 8(6):937–955CrossRefGoogle Scholar
  63. Parboteeah DV, Valacich JS, Wells JD (2009) The influence of website characteristics on a consumer’s urged to buy impulsively. Inf Syst Res 20(1):60–78CrossRefGoogle Scholar
  64. Park I, Cho J, Rao HR (2012) The effect of pre-and post-service performance on consumer evaluation of online retailers. Decis Support Syst 52(2):415–426CrossRefGoogle Scholar
  65. Pavlou PA, Fygenson M (2006) Understanding and predicting electronic commerce adoption: an extension of the theory of planned behavior. MIS Q 30(1):115–143CrossRefGoogle Scholar
  66. Powers TL, Jack EP (2013) The influence of cognitive dissonance on retail product returns. Psychol Mark 30(8):724–735CrossRefGoogle Scholar
  67. Saleh MAEH (2012) An investigation of the relationship between unplanned buying and post-purchase regret. Int J Mark Stud 4(4):106–120Google Scholar
  68. Sengupta J, Zhou R (2007) Understanding impulsive eaters’ choice behaviors: the motivational influences of regulatory focus. J Mark Res 44(2):297–308CrossRefGoogle Scholar
  69. Shahin Sharifi S, Rahim Esfidani M (2014) The impacts of relationship marketing on cognitive dissonance, satisfaction, and loyalty: the mediating role of trust and cognitive dissonance. Int J Retail Distrib Manag 42(6):553–575CrossRefGoogle Scholar
  70. Shao W, Shao G (2011) Understanding choice-goal compatibility, dissonance and decision satisfaction. Australas Mark J 19(1):14–21CrossRefGoogle Scholar
  71. Sohn HK, Lee TJ (2017) Tourists’ impulse buying behavior at duty-free shops: the moderating effects of time pressure and shopping involvement. J Travel Tour Mark 34(3):341–356CrossRefGoogle Scholar
  72. Sweeney JC, Hausknecht D, Soutar GN (2000) Cognitive dissonance after purchase: a multidimensional scale. Psychol Mark 17(5):369–385CrossRefGoogle Scholar
  73. Tifferet S, Herstein R (2012) Gender differences in brand commitment, impulse buying, and hedonic consumption. J Prod Brand Manag 21(3):176–182CrossRefGoogle Scholar
  74. Tompson R, Barclay DW, Higgins CA (1995) The partial least squares approach to causal modeling: personal computer adoption and uses as an illustration. Technol Stud Spec Issue Res Methodol 2(2):284–324Google Scholar
  75. Vaughn LA (2017) Foundational tests of the need-support model: a framework for bridging regulatory focus theory and self-determination theory. Pers Soc Psychol Bull 43(3):313–328CrossRefGoogle Scholar
  76. Verhagen T, van Dolen W (2011) The influence of online store beliefs on consumer online impulse buying: a model and empirical application. Inf Manag 48(8):320–327CrossRefGoogle Scholar
  77. Vonkeman C, Verhagen T, van Dolen W (2017) Role of local presence in online impulse buying. Inf Manag.  https://doi.org/10.1016/j.im.2017.02.008 Google Scholar
  78. Wilkins S, Beckenuyte C, Butt MM (2016) Consumers’ behavioral intentions after experiencing deception or cognitive dissonance caused by deceptive packaging, package downsizing or slack filling. Eur J Mark 50(1/2):213–235CrossRefGoogle Scholar
  79. Wold H (1989) Introduction to the second generation of multivariate analysis. In Wold H (ed) Theoretical empiricism. Paragon House, New YorkGoogle Scholar
  80. Wood M (1998) Socio-economic status, delay of gratification, and impulse buying. J Econ Psychol 19(3):295–320CrossRefGoogle Scholar
  81. Wu X, Wang J (2014) Micro-blog in China: identify influential users and automatically classify posts on Sina micro-blog. J Ambient Intell Humaniz Comput 5(1):51–63CrossRefGoogle Scholar
  82. Wu SJ, Chiang RD, Chang HC (2018) Applying sentiment analysis in social web for smart decision support marketing. J Ambient Intell Humaniz Comput.  https://doi.org/10.1007/s12652-018-0683-9 Google Scholar
  83. Xiang L, Zheng X, Lee MK, Zhao D (2016) Exploring consumers’ impulse buying behavior on social commerce platform: the role of parasocial interaction. Int J Inf Manag 36(3):333–347CrossRefGoogle Scholar
  84. Xiao J, Wang M, Jiang B, Li J (2017) A personalized recommendation system with combinational algorithm for online learning. J Ambient Intell Humaniz Comput.  https://doi.org/10.1007/s12652-017-0466-8 Google Scholar
  85. Yap SF, Gaur SS (2014) Consumer dissonance in the context of online consumer behavior: a review and research agenda. J Internet Commer 13(2):116–137CrossRefGoogle Scholar
  86. Zhang M, Yao Y, Jiang Y, Li B, Tang C (2018) Accountable mobile e-commerce scheme in intelligent cloud system transactions. J Ambient Intell Humaniz Comput.  https://doi.org/10.1007/s12652-017-0672-4 Google Scholar

Copyright information

© Springer-Verlag GmbH Germany, part of Springer Nature 2018

Authors and Affiliations

  • Ching-Torng Lin
    • 1
  • Chien-Wen Chen
    • 2
  • Shu-Jin Wang
    • 2
  • Chiu-Ching Lin
    • 3
  1. 1.Department of Information ManagementDa Yeh UniversityChanghuaTaiwan, ROC
  2. 2.Department of Business AdministrationFeng Chia UniversityTaichungTaiwan, ROC
  3. 3.Department of Marketing and LogisticsMingDao UniversityChanghuaTaiwan, ROC

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