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Examining the Relationship Between Customer-Oriented Success Factors, Customer Satisfaction, and Repurchase Intention for Mobile Commerce

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Strategic System Assurance and Business Analytics

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Abstract

Availability of smartphones at affordable prices and efficient data packs provided by telecom companies have shifted digitalization toward phone-enabled mobile commerce (m-commerce). This has forced the firms to reengineer their strategies to incorporate mobile commerce within their organizational models. The paper proposes a conceptual model that includes the variables such as m-commerce application success (MAS), customer satisfaction (CS), and repurchase intention (RI) toward mobile commerce. The conceptual model analyses the significance of the relationship between MAS with CS, CS, and MAS with RI. The model has been validated through a survey consisting of 530 respondents, mainly from northern India. The study was performed using structural equation modeling (SEM) approach. Results validated the association of MAS with CS, and CS with RI. But, there exists no direct relation of MAS with RI. Future studies may extend the present model by incorporating loyalty framework.

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References

  1. Sharma H, Aggarwal AG (2019) Finding determinants of e-commerce success: a PLS-SEM approach. J Adv Manag Res

    Google Scholar 

  2. Aggarwal AG, Aakash (2018) Multi-criteria-based prioritisation of B2C e-commerce website. Int J Soc Syst Sci 10(3):201–222

    Google Scholar 

  3. Tandon A, Sharma H, Aggarwal AG (2019) Assessing travel websites based on service quality attributes under intuitionistic environment. Int J Knowl-Based Organ (IJKBO) 9(1):66–75

    Article  Google Scholar 

  4. Aggarwal AG (2018) A multi-attribute online advertising budget allocation under uncertain preferences. J Eng Educ 14

    Google Scholar 

  5. Sharma H, Aggarwal AG, Suri G (2019) Success factors of m-commerce: a customer perspective. In: M-commerce: experiencing the phygital retail. Apple Academic Press, pp 71–100

    Google Scholar 

  6. Min Q, Ji S, Qu G (2008) Mobile commerce user acceptance study in China: a revised UTAUT model. Tsinghua Sci Technol 13(3):257–264

    Article  Google Scholar 

  7. Nilashi M et al (2015) The role of security, design and content factors on customer trust in mobile commerce. J Retail Consum Serv 26:57–69

    Article  Google Scholar 

  8. Statista (2018) Cited Aug 2018. Available from: https://www.statista.com/statistics/266119/india-retail-mcommerce-sales/

  9. Lee H-M, Chen T (2014) Perceived quality as a key antecedent in continuance intention on mobile commerce. Int J Electron Commer Stud 5(2):123–142

    Article  Google Scholar 

  10. Gebauer J, Shaw MJ (2004) Success factors and impacts of mobile business applications: results from a mobile e-procurement study. Int J Electron Commer 8(3):19–41

    Article  Google Scholar 

  11. Kabir G, Akhtar Hasin A (2011) Evaluation of customer oriented success factors in mobile commerce using fuzzy AHP. J Ind Eng Manag 4(2):361–386

    Google Scholar 

  12. Kassim N, Asiah Abdullah N (2010) The effect of perceived service quality dimensions on customer satisfaction, trust, and loyalty in e-commerce settings: a cross cultural analysis. Asia Pac J Mark Logist 22(3):351–371

    Google Scholar 

  13. Lin H-H, Wang Y-S (2006) An examination of the determinants of customer loyalty in mobile commerce contexts. Inf Manag 43(3):271–282

    Article  Google Scholar 

  14. DeLone WH, McLean ER (1992) Information systems success: the quest for the dependent variable. Inf Syst Res 3(1):60–95

    Article  Google Scholar 

  15. DeLone WH, McLean ER (2003) The DeLone and McLean model of information systems success: a ten-year update. J Manag Inf Syst 19(4):9–30

    Article  Google Scholar 

  16. Molla A, Licker PS (2001) E-commerce systems success: an attempt to extend and respecify the DeLone and MacLean model of IS success. J Electron Commer Res 2(4):131–141

    Google Scholar 

  17. Wang YS (2008) Assessing e-commerce systems success: a respecification and validation of the DeLone and McLean model of IS success. Inf Syst J 18(5):529–557

    Article  Google Scholar 

  18. Lee WO, Wong LS (2016) Determinants of mobile commerce customer loyalty in Malaysia. Procedia-Soc Behav Sci 224:60–67

    Article  Google Scholar 

  19. San Martín S, López-Catalán B, Ramón-Jerónimo MA (2012) Factors determining firms’ perceived performance of mobile commerce. Ind Manage Data Syst 112(6):946–963

    Google Scholar 

  20. Jimenez N, San-Martin S, Azuela JI (2016) Trust and satisfaction: the keys to client loyalty in mobile commerce. Acad Rev Latinoam Adm 29(4):486–510

    Article  Google Scholar 

  21. Dužević I, Delić M, Knežević B (2016) Customer satisfaction and loyalty factors of mobile commerce among young retail customers in Croatia. Gestão Soc 10(27):1476

    Article  Google Scholar 

  22. Gardner DG et al (1998) Single-item versus multiple-item measurement scales: an empirical comparison. Educ Psychol Measur 58(6):898–915

    Article  Google Scholar 

  23. Hoeppner BB et al (2011) Comparative utility of a single-item versus multiple-item measure of self-efficacy in predicting relapse among young adults. J Subst Abuse Treat 41(3):305–312

    Article  Google Scholar 

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Acknowledgements

This research work was supported by the grants provided by Indian Council of Social Science Research, Delhi, India (File No.: 02/76/2017-18/RP/Major).

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Correspondence to Abhishek Tandon .

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Appendix

Appendix

The measurement scale

Items

Statements

SQ1

MC provides a time effective application

SQ2

MC provides an application which is always available

SQ3

MC application takes less time to reload/refresh and to migrate from various search results

SQ4

MC provides an attractive application

CQ1

MC application informs me about the product/service and their arrivals/departures

CQ2

The data is well displayed on the mobile commerce application

CQ3

MC provides the information about the products/services in no time

CQ4

MC provides exact information about the products/services without any discrepancies

US1

MC provides an interface with significant content about products/services

US2

MC provides an interface with smooth payment process

SP1

MC provides an application that tracks the delivery status of their purchased product/service

SP2

MC provides various payment options

SP3

MC provides an application that efficiently handles queries of the customer

SP4

MC allows me to create an account on their application to avail various incentives and exclusive offers

TR1

MC assures the customer that there is no breach of their personal information while making a transaction

TR2

MC keeps customer’s personal information confidential and protects their data from being included into their database which may be used for any other purpose apart from the purpose it was meant for

MO1

MC application is in accordance with my smart phone’s configuration

MO2

MC application provides an interface on my mobile phone through which I can have access to the product/services I look forward to have

PER1

I can have access to the MC application from anywhere

PER2

I can have access to the MC application at my suitable time

PER3

MC provides me an opportunity to build my own shopping cart

OCF1

MC application provides an interface that posts linguistic comments provided by previous purchasers and browsers

OCF2

MC application provides an interface that posts star ratings provided by previous purchasers and browsers

CS1

Overall I am satisfied with the firm’s application

CS2

The quality of product meets my expectations

RI

I will again make a purchase using this application

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Tandon, A., Sharma, H., Aggarwal, A.G. (2020). Examining the Relationship Between Customer-Oriented Success Factors, Customer Satisfaction, and Repurchase Intention for Mobile Commerce. In: Kapur, P.K., Singh, O., Khatri, S.K., Verma, A.K. (eds) Strategic System Assurance and Business Analytics. Asset Analytics. Springer, Singapore. https://doi.org/10.1007/978-981-15-3647-2_17

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