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Businesses as Buildings: Metrics for the Architectural Quality of Internet Businesses

Author

Listed:
  • Jinwoo Kim

    (Internet Business Research Center, Yonsei University, Seoul, 120-749, South Korea)

  • Jungwon Lee

    (Internet Business Research Center, Yonsei University, Seoul, 120-749, South Korea)

  • Kwanghee Han

    (Internet Business Research Center, Yonsei University, Seoul, 120-749, South Korea)

  • Moonkyu Lee

    (Internet Business Research Center, Yonsei University, Seoul, 120-749, South Korea)

Abstract

Metrics for the architectural quality of Internet businesses are essential in gauging the success and failure of e-commerce. This study proposes six dimensions of architectural metrics for Internet businesses: internal stability, external security, information gathering, order processing, system interface , and communication interface . The metrics are based on the three constructs that have been used to evaluate buildings in the real world. The structural construct indicates that Internet businesses need to be stable internally and secure externally. The functional construct implies that Internet businesses should provide convenient functions in the information-gathering and order-processing phases. Finally, the representational construct indicates that they need to provide a pleasant interface both to the systemand to those using it. For each of the six metrics, we have constructed questionnaires to measure the perceived level of architectural quality and identified feature lists that may be closely related to the perceived quality level. Large-scale empirical studies were conducted both to validate the proposed metrics and to explore their relevance across four Internet business domains. The validity of the metrics has been obtained in three ways. First, the content validity of the metrics was assured by pretests and pilot survey. Second, the results from the confirmatory factor analysis showed that the metrics had high convergent and discriminant validities. Finally, the reliability coefficients were found to be high enough to establish the reliability of the proposed metrics. The relevance of the metrics has been explored in two ways. Structural equation models were used to test the causal relations between the three constructs and user satisfaction, as well as customer loyalty, in four domains. Correlation analyses were used to explore the relations between the perceived architectural quality and objective design features in four domains. This paper ends with the implications and limitations of the study results.

Suggested Citation

  • Jinwoo Kim & Jungwon Lee & Kwanghee Han & Moonkyu Lee, 2002. "Businesses as Buildings: Metrics for the Architectural Quality of Internet Businesses," Information Systems Research, INFORMS, vol. 13(3), pages 239-254, September.
    • Handle: RePEc:inm:orisre:v:13:y:2002:i:3:p:239-254
    DOI: 10.1287/isre.13.3.239.79
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    4. Udo, Godwin J. & Bagchi, Kallol K. & Kirs, Peeter J., 2010. "An assessment of customers’ e-service quality perception, satisfaction and intention," International Journal of Information Management, Elsevier, vol. 30(6), pages 481-492.
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    7. Amar Raju G. & Souvik Roy & Santanu Mandal, 2018. "Determinants of Website Usability: Empirical Evidence from Tourism Sector in India," Global Business Review, International Management Institute, vol. 19(6), pages 1640-1662, December.
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    9. Mei Xue & Patrick T. Harker & Gregory R. Heim, 2003. "Incorporating the Dual Customer Roles in e-Service Design," Center for Financial Institutions Working Papers 03-04, Wharton School Center for Financial Institutions, University of Pennsylvania.
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    11. Min Jung Kang & Yong Cheol Hwang, 2022. "Exploring the Factors Affecting the Continued Usage Intention of IoT-Based Healthcare Wearable Devices Using the TAM Model," Sustainability, MDPI, vol. 14(19), pages 1-25, September.
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    13. Longstreet, Phil & Valacich, Joseph & Wells, John, 2021. "Towards an understanding of online visual aesthetics: An instantiation of the composition perspective," Technology in Society, Elsevier, vol. 65(C).
    14. Finn, Adam & Wang, Luming & Frank, Tema, 2009. "Attribute Perceptions, Customer Satisfaction and Intention to Recommend E-Services," Journal of Interactive Marketing, Elsevier, vol. 23(3), pages 209-220.
    15. V.V. Devi Prasad Kotni, 2017. "Paradigm Shift from Attracting Footfalls for Retail Store to Getting Hits for E-stores: An Evaluation of Decision-making Attributes in E-tailing," Global Business Review, International Management Institute, vol. 18(5), pages 1215-1237, October.
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