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How online and offline behavior processes affect each other: customer behavior in a cyber-enhanced bookstore

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Abstract

Click-and-mortar is a business model in which companies supplement their physical outlet with an online channel. Channel integration makes it possible for companies to access synergies that may be unavailable to companies that separate these channels into distinct entities. However, a review of previous studies provided no model addressing the underlying dynamics of click-and-mortar behavior. This study proposes a phenomenal model to evaluate the antecedents of customer behavioral processes in online and offline channels, by empirically extending the IS success model to incorporate a tri-component behavioral process as its theoretical foundation. This study draws a number of conclusions. First, information quality does not significantly affect online satisfaction when customers select mortar to click as their involving sequence. Second, environment quality does not affect offline satisfaction when customers choose click to mortar as their involving sequence. Finally, different channels have different advantages and weaknesses.

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References

  • Ahn T., Ryu S., Han I.: The impact of the online and offline features on the user acceptance of internet shopping malls. Electron. Commer. Res. Appl. 3(4), 405–420 (2004)

    Article  Google Scholar 

  • Anderson R.E., Srinivasan S.S.: E-satisfaction and e-loyalty: a contingency framework. Psychol. Mark. 20(2), 99–121 (2003)

    Article  Google Scholar 

  • Bagozzi R., Phillips L.: Assessing construct validity in organizational research. Adm. Sci. Q. 36(3), 421–458 (1991)

    Article  Google Scholar 

  • Balabanis G., Reynolds N.L.: Consumer attitude towards multi-channel retailers’ website: the role of involvement, brand attitude, internet knowledge and visit duration. J. Bus. Strateg. 18(2), 102–129 (2001)

    Google Scholar 

  • Barclay D.C., Higgins C., Thompson R.: The partial least squares approach to causal modeling: personal computer adoption and use as an illustration. Technol. Stud. 2(2), 285–308 (1995)

    Google Scholar 

  • Betts E.J., McGoldrick P.J.: Consumer behavior and the retail sales: modeling the development of an attitude problem. Eur. J. Market. 30(8), 40–58 (1996)

    Article  Google Scholar 

  • Brady M., Cronin J.: Some new thoughts on conceptualizing perceived service quality: a replication and extension. J. Mark. 65(3), 34–49 (2001)

    Article  Google Scholar 

  • Caruana A.: The effects of service quality and the mediating role of customer satisfaction. Eur. J. Market. 36(7/8), 811–828 (2002)

    Article  Google Scholar 

  • Castañeda J.A., Rodrı’guez M.A., Luque T.: Attitudes’ hierarchy of effects in online user behavior. Online Inf. Rev. 33(1), 7–21 (2009)

    Article  Google Scholar 

  • Cheema A., Papatla P.: Relative importance of online versus offline information for Internet purchases: product category and Internet experience effects. J. Bus. Res. 63(9/10), 979–985 (2010)

    Article  Google Scholar 

  • Chen C.W., Cheng C.Y.: Understanding consumer intention in online shopping: a respecification and validation of the DeLone and McLean model. Behav. Inf. Technol. 28(4), 335–345 (2009)

    Article  Google Scholar 

  • Chin W.W., Marcolin B.L., Newsted P.R.: A partial squares latent variable modeling approach for measuring interaction effects: results from a Monte Carlo simulation study and an electronic-mail emotion/adoption study. Inf. Syst. Res. 14(2), 189–217 (2003)

    Article  Google Scholar 

  • Choi K.S., Cho W.H., Lee S., Lee H., Kim C.: The relationships among quality, value, satisfaction, and behavioral intention in health care provider choice: a South Korea study. J. Bus. Res. 57(8), 913–921 (2004)

    Article  Google Scholar 

  • Dabholkar P.A, Thorpe D.L, Rentz J.O.: A measure of service quality for retail store: scale development and validation. Acad. Mark. Sci. J. 24(1), 3–14 (1996)

    Article  Google Scholar 

  • Daniels, D., Schatsky, D.: CRM moves into checkout aisle. Jupiter Research 2001. Available at http://searchcrm.techtarget.com/news/article/0,289142,sid11_gci533862,00.html. Accessed 20 Dec 2009

  • DeLone W., McLean E.: Measuring e-commerce success: applying the DeLone and McLean information systems success model. Int. J. Electron. Consum. 22(1), 31–47 (2003)

    Google Scholar 

  • Devaraj S., Fan M., Kohli R.: Antecedents of B2C channel satisfaction and preference: validating e-commerce metrics. Inf. Syst. Res. 13(3), 316–333 (2002)

    Article  Google Scholar 

  • Doll W.J., Xia W., Torkzadeh G.: A confirmation of factor analysis of the end-user computer satisfaction instrument. MIS Q. 18(4), 453–461 (1994)

    Article  Google Scholar 

  • eMarkter; Insight into multichannel marketing. http://www.emarketer.com/Results.aspx?Ntt=multichannel&No=0&N=0&Ntk=basic. Accessed 1 Sep 2009

  • Fornell C., Bookstein F.L.: Two structural equation models: LISREL and PLS applied to consumer exit-voice theory. J. Mark. Res. 19(3), 440–452 (1982)

    Article  Google Scholar 

  • Fournier E., Mick D.G.: Rediscovering satisfaction. J. Mark. 63(4), 5–23 (1999)

    Article  Google Scholar 

  • Friedman L.G., Furey T.R.: The Channel Advantage: Going to Market with Multiple Sales Channels to Reach More Customers, Sell More Products, Make More Profit. Butterworth Heinemann, Boston (1999)

    Google Scholar 

  • Fullerton G.: The service quality: loyalty relationship in retail services: does commitment matter?. J. Retail. Consum. Serv. 12(2), 99–111 (2005)

    Article  Google Scholar 

  • Grimm P.E.: A components’ impact on brand preference. J. Bus. Res. 58(4), 508–517 (2005)

    Article  Google Scholar 

  • Gulati R., Garino J.: Get the right mix of bricks & clicks. Harv. Bus. Rev. 78(3), 107–114 (2000)

    Google Scholar 

  • Hair J.F., Black B., Babin B., Anderson R.E., Tatham R.L.: Multivariate Data Analysis, 6th ed.. Prentice-Hall, Englewood Cliffs (2006)

    Google Scholar 

  • Heslop L.A., Lu I.R.R., Cray D.: Modeling country image effects through an international crisis. Int. Market. Rev. 25(4), 354–378 (2008)

    Article  Google Scholar 

  • Hsu M.H., Yen C.H., Chiu C.M., Chang C.M.: A longitudinal investigation of continued online shopping behavior: an extension of the theory of planned behavior. Int. J. Hum. Comput. Stud. 64(9), 889–904 (2006)

    Article  Google Scholar 

  • Jarvenpaa S., Todd P.A.: Consumer reactions to electronic shopping on the WWW. Int. J. Electron. Commer. 1(2), 59–88 (1997)

    Google Scholar 

  • Joe S.-W., Chiu C.-K.: Proposing online game loyalty and its antecedents considering gender as a moderator: a qualitative study. Qual. Quant. 43, 731–741 (2009)

    Article  Google Scholar 

  • Jones T.O., Sasser W.J.R.: Why satisfied customer defect. Harv. Bus. Rev. 73(6), 88–99 (1995)

    Google Scholar 

  • Kim J., Park J.: A consumer shopping channel extension model: attitude shift toward the online store. J. Fashion Mark. Manag. 9(1), 106–121 (2005)

    Article  Google Scholar 

  • Kim S., Stoel L.: Apparel retailers: website quality dimensions and satisfaction. J. Retail. Consum. Serv. 11(2), 109–117 (2004)

    Article  Google Scholar 

  • Lin T.R., Sun C.C.: Factors influencing satisfaction and loyalty in online shopping: an integrated model. Online Inf. Rev. 33(3), 458–475 (2009)

    Article  Google Scholar 

  • Market Intelligence and Consulting Institute (MIC) (2010) The trend of online shopping in Taiwan in 2010. http://mic.iii.org.tw/index.asp. Accessed 1 Mar 2011

  • Martı’n S.S., Camarero C.: How perceived risk affects online buying. Online Inf. Rev. 33(4), 629–654 (2009)

    Article  Google Scholar 

  • Morris J., Woo C., Geason J., Kim J.: The power of affect: predicting intention. J. Advert. Res. 42(3), 7–17 (2002)

    Google Scholar 

  • Nathan R.J., Yeow P.H.P.: Key usability factors of service-oriented websites for students: an empirical study. Online Inf. Rev. 32(3), 302–324 (2008)

    Article  Google Scholar 

  • Oliver R.L.: Whence consumer loyalty?. J. Mark. 63, 33–44 (1999)

    Article  Google Scholar 

  • Parasuraman A., Zeithaml V.A., Berry B.: Reassessment of expectations as a comparison standard in measuring service quality: implications for further research. J. Mark. 58, 111–124 (1994)

    Article  Google Scholar 

  • Qu X., Wang Q., Xue J.: Review of consumer stickiness research from influence factor perspective. Commun. Comput. Inf. Sci. 211, 219–224 (2011)

    Article  Google Scholar 

  • Rai A., Lang S.S., Welker R.B.: Assessing the validity of IS success models: an empirical test and theoretical analysis. Inf. Syst. Res. 13(1), 50–69 (2002)

    Article  Google Scholar 

  • Ribbink D., Allard C.R., Streukens S.: Comfort your online customer: quality, trust and loyalty on the internet. Manag. Serv. Qual. 14(6), 446–456 (2004)

    Article  Google Scholar 

  • Schiffman L.G., Kanuk L.L.: Consumer Behavior. Prentice Hall, New Jersey (2009)

    Google Scholar 

  • Steinfield C., Bouwman H., Adelaar T.: The dynamics of click-and-mortar electronic commerce: opportunities and management strategies. Int. J. Electron. Consum. 7(1), 93–119 (2002)

    Google Scholar 

  • Szymanski D.M., Hise R.T.: e-Satisfaction: an initial examination. J. Retail. 76(3), 309–322 (2000)

    Article  Google Scholar 

  • Tan M., Teo T.S.H.: Factors influencing the adoption of internet banking. J. Assoc. Inf. Syst. 1(5), 1–44 (2000)

    Google Scholar 

  • Ward M.R.: Will online shopping complete more with traditional retailing or catalog shopping?. Netnomics 3(2), 103–117 (2001)

    Article  Google Scholar 

  • Westbrook R.A.: Sources of consumer satisfaction with retail outlets. J. Retail. 57(3), 68–85 (1981)

    Google Scholar 

  • Wixom B.H, Todd P.A.: A theoretical integration of user satisfaction and technology acceptance. Inf. Syst. Res. 16(1), 85–102 (2005)

    Article  Google Scholar 

  • Wold H. : Introduction to the second generation of multivariate analysis. In: Wold, H. (eds) Theoretical Empiricism, Paragon House, New York (1989)

    Google Scholar 

  • Wong A.: The role of emotional satisfaction in service encounters. Manag. Serv. Qual. 14(5), 365–376 (2004)

    Article  Google Scholar 

  • Yan R., Ghose S.: Forecast information and traditional retailer performance in a dual-channel competitive market. J. Bus. Res. 63(1), 77–83 (2010)

    Article  Google Scholar 

  • Yao E., Fang R., Dineen B.R., Yao X.: Effects of customer feedback level and (in) consistency on new product acceptance in the click-and-mortar context. J. Bus. Res. 62(12), 1281–1288 (2009)

    Article  Google Scholar 

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Correspondence to Chien-Wen Chen.

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Chen, CW., Cheng, CY. How online and offline behavior processes affect each other: customer behavior in a cyber-enhanced bookstore. Qual Quant 47, 2539–2555 (2013). https://doi.org/10.1007/s11135-012-9670-y

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