IDEAS home Printed from https://ideas.repec.org/a/sae/vikjou/v47y2022i3p217-234.html
   My bibliography  Save this article

Scale Purification and Validation: A Methodological Approach to Sustainable Online Retailing

Author

Listed:
  • Suhail Ahmad Bhat
  • Ajaz Akbar Mir
  • Sheikh Basharul Islam

Abstract

Sustainability in the e-commerce business has created an overwhelming interest among practitioners and researchers. The different business models adopted by the e-retailers in India lack sustainable aspects, hindering them from generating sustainable revenues. To accomplish such goals, e-retailers need to focus on sustainable factors such as trust, innovation, timely delivery of goods, usability, internet speed and customer support service. In view of this, the article is aimed to create an instrument that captures sustainable online retailing by developing, measuring and empirically validating a scale. The validity of the scale was established by adopting a proper psychometric scale development procedure. The study found that after applying various judgmental and statistical criteria to the initial scale of 26 items, 17 items were retained with the removal of nine items sequentially at different steps. The dropped items could not meet the set thresholds of different criterion. Results of the study suggested that trust and internet speed in the present context are key determinants of sustainable e-retailing. The study focused on the online retail sector only. Methodological developments in other areas might lead to different results if the chosen criteria were to be repeated there. Both judgmental and statistical procedures need to be used with proper consensus. The practical implications of the study involve five constructs that e-marketers and practitioners could adopt to provide better customer experience resulting in higher customer satisfaction. The authors demonstrated a detailed procedure for scale purification. This procedure will help researchers in this area and in adjacent disciplines build greater consistency regarding applying methodological steps in scale purification. It will also assist reviewers and editors with tools to identify methodological errors while making review decisions. Such a scale will help in bringing standardization of the research carried out in sustainable online retailing.

Suggested Citation

  • Suhail Ahmad Bhat & Ajaz Akbar Mir & Sheikh Basharul Islam, 2022. "Scale Purification and Validation: A Methodological Approach to Sustainable Online Retailing," Vikalpa: The Journal for Decision Makers, , vol. 47(3), pages 217-234, September.
    • Handle: RePEc:sae:vikjou:v:47:y:2022:i:3:p:217-234
    DOI: 10.1177/02560909221123632
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/02560909221123632
    Download Restriction: no
    File URL: https://libkey.io/10.1177/02560909221123632?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Renko, Sanda & Druzijanic, Mirna, 2014. "Perceived usefulness of innovative technology in retailing: Consumers׳ and retailers׳ point of view," Journal of Retailing and Consumer Services, Elsevier, vol. 21(5), pages 836-843.
    2. Hardesty, David M. & Bearden, William O., 2004. "The use of expert judges in scale development: Implications for improving face validity of measures of unobservable constructs," Journal of Business Research, Elsevier, vol. 57(2), pages 98-107, February.
    3. Min-Sook Park & Jong-Kuk Shin & Yong Ju, 2014. "Social networking atmosphere and online retailing," Journal of Global Scholars of Marketing Science, Taylor & Francis Journals, vol. 24(1), pages 89-107, January.
    4. Dong Ling Xu-Priour & Gérard Cliquet & Adrian Palmer, 2017. "The Influence of Buyers’ Time Orientation on Online Shopping Behavior: A Typology," Post-Print halshs-02024281, HAL.
    5. Bjarne Rerup Schlichter & Jeremy Rose, 2013. "Trust dynamics in a large system implementation: six theoretical propositions," European Journal of Information Systems, Taylor & Francis Journals, vol. 22(4), pages 455-474, July.
    6. William Ocasio & Nevena Radoynovska, 2016. "Strategy and commitments to institutional logics : Organizational heterogeneity in business models and governance," Post-Print hal-02312181, HAL.
    7. Ingo Balderjahn & Anja Buerke & Manfred Kirchgeorg & Mathias Peyer & Barbara Seegebarth & Klaus-Peter Wiedmann, 2013. "Consciousness for sustainable consumption: scale development and new insights in the economic dimension of consumers’ sustainability," AMS Review, Springer;Academy of Marketing Science, vol. 3(4), pages 181-192, December.
    8. Ritu Agarwal & Jayesh Prasad, 1998. "A Conceptual and Operational Definition of Personal Innovativeness in the Domain of Information Technology," Information Systems Research, INFORMS, vol. 9(2), pages 204-215, June.
    9. Toufaily, Elissar & Souiden, Nizar & Ladhari, Riadh, 2013. "Consumer trust toward retail websites: Comparison between pure click and click-and-brick retailers," Journal of Retailing and Consumer Services, Elsevier, vol. 20(6), pages 538-548.
    10. Jonathan W. Palmer, 2002. "Web Site Usability, Design, and Performance Metrics," Information Systems Research, INFORMS, vol. 13(2), pages 151-167, June.
    11. Hirschman, Elizabeth C, 1980. "Innovativeness, Novelty Seeking, and Consumer Creativity," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 7(3), pages 283-295, December.
    12. Melis, Kristina & Campo, Katia & Breugelmans, Els & Lamey, Lien, 2015. "The Impact of the Multi-channel Retail Mix on Online Store Choice: Does Online Experience Matter?," Journal of Retailing, Elsevier, vol. 91(2), pages 272-288.
    13. Ananth Srinivasan Kripesh & H. Mahesh Prabhu & K.V. Sriram, 2020. "An empirical study on the effect of product information and perceived usefulness on purchase intention during online shopping in India," International Journal of Business Innovation and Research, Inderscience Enterprises Ltd, vol. 21(4), pages 509-522.
    14. Costanza, Robert & Patten, Bernard C., 1995. "Defining and predicting sustainability," Ecological Economics, Elsevier, vol. 15(3), pages 193-196, December.
    15. Le Van Huy & Frantz Rowe & Duane Truex & Minh Q. Huynh, 2012. "An Empirical Study of Determinants of E-Commerce Adoption in SMEs in Vietnam: An Economy in Transition," Journal of Global Information Management (JGIM), IGI Global, vol. 20(3), pages 23-54, July.
    16. Kock, Florian & Josiassen, Alexander & Assaf, A. George, 2016. "Advancing destination image: The destination content model," Annals of Tourism Research, Elsevier, vol. 61(C), pages 28-44.
    17. Diamantopoulos, Adamantios & Riefler, Petra & Roth, Katharina P., 2008. "Advancing formative measurement models," Journal of Business Research, Elsevier, vol. 61(12), pages 1203-1218, December.
    18. Shao, Xiao-Feng, 2017. "Free or calculated shipping: Impact of delivery cost on supply chains moving to online retailing," International Journal of Production Economics, Elsevier, vol. 191(C), pages 267-277.
    19. Gary C. Moore & Izak Benbasat, 1991. "Development of an Instrument to Measure the Perceptions of Adopting an Information Technology Innovation," Information Systems Research, INFORMS, vol. 2(3), pages 192-222, September.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Verhagen, Tibert & Meents, Selmar, 2007. "A Framework for Developing Semantic Differentials in IS research: Assessing the Meaning of Electronic Marketplace Quality (EMQ)," Serie Research Memoranda 0016, VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics.
    2. Seok Chan Jeong & Beom-Jin Choi, 2022. "Moderating Effects of Consumers’ Personal Innovativeness on the Adoption and Purchase Intention of Wearable Devices," SAGE Open, , vol. 12(4), pages 21582440221, November.
    3. Kim, Jiyeon & Forsythe, Sandra, 2008. "Adoption of Virtual Try-on technology for online apparel shopping," Journal of Interactive Marketing, Elsevier, vol. 22(2), pages 45-59.
    4. Ellen Van Droogenbroeck & Léon Van Hove, 2021. "Adoption and usage of E-grocery shopping: A context-specific UTAUT2 model," ULB Institutional Repository 2013/324918, ULB -- Universite Libre de Bruxelles.
    5. San Martín, Héctor & Herrero, Ángel, 2012. "Influence of the user’s psychological factors on the online purchase intention in rural tourism: Integrating innovativeness to the UTAUT framework," Tourism Management, Elsevier, vol. 33(2), pages 341-350.
    6. Hua Dai & A. F. Salam, 2020. "An Empirical Assessment of Service Quality, Service Consumption Experience and Relational Exchange in Electronic Mediated Environment (EME)," Information Systems Frontiers, Springer, vol. 22(4), pages 843-862, August.
    7. Adapa, Sujana & Fazal-e-Hasan, Syed Muhammad & Makam, Sathyaprakash Balaji & Azeem, Muhammad Masood & Mortimer, Gary, 2020. "Examining the antecedents and consequences of perceived shopping value through smart retail technology," Journal of Retailing and Consumer Services, Elsevier, vol. 52(C).
    8. Ellen Van Droogenbroeck & Leo Van Hove, 2021. "Adoption and Usage of E-Grocery Shopping: A Context-Specific UTAUT2 Model," Sustainability, MDPI, vol. 13(8), pages 1-27, April.
    9. Riffat Ara Zannat Tama & Md Mahmudul Hoque & Ying Liu & Mohammad Jahangir Alam & Mark Yu, 2023. "An Application of Partial Least Squares Structural Equation Modeling (PLS-SEM) to Examining Farmers’ Behavioral Attitude and Intention towards Conservation Agriculture in Bangladesh," Agriculture, MDPI, vol. 13(2), pages 1-22, February.
    10. Sara Moussawi & Marios Koufaris & Raquel Benbunan-Fich, 2021. "How perceptions of intelligence and anthropomorphism affect adoption of personal intelligent agents," Electronic Markets, Springer;IIM University of St. Gallen, vol. 31(2), pages 343-364, June.
    11. Francisco Rejón-Guardia & Juán Sánchez-Fernández & Francisco Muñoz-Leiva, 2011. "Motivational Factors that influence the Acceptance of Microblogging Social Networks: The µBAM Model," FEG Working Paper Series 06/11, Faculty of Economics and Business (University of Granada).
    12. Siti Salwa Mohd Ishak & Sidney Newton, 2018. "Testing a Model of User Resistance Towards Technology Adoption in Construction Organizations," International Journal of Innovation and Technology Management (IJITM), World Scientific Publishing Co. Pte. Ltd., vol. 15(06), pages 1-27, December.
    13. Mohammadbashir Sedighi & Hamideh Parsaeiyan & Yashar Araghi, 2021. "An Empirical Study of Intention to Continue Using of Digital Ride-hailing Platforms," The Review of Socionetwork Strategies, Springer, vol. 15(2), pages 489-515, November.
    14. Gansser, Oliver Alexander & Reich, Christina Stefanie, 2021. "A new acceptance model for artificial intelligence with extensions to UTAUT2: An empirical study in three segments of application," Technology in Society, Elsevier, vol. 65(C).
    15. Hong-Wen Lin & Ya-Cing Jhan & Yuan Tseng, 2019. "Behavioral intention of using one-stop mobile application: evidence from department stores," Asian Journal of Empirical Research, Asian Economic and Social Society, vol. 9(12), pages 401-412, December.
    16. Hossein Nasiri Zarandi & Fereshteh Lotfizadeh, 2016. "The Influence of Cognitive Innovativeness on the Behavior and Style of Consumer Adoption: Implications for Electronic-Banking Service Adoption," International Journal of Marketing Studies, Canadian Center of Science and Education, vol. 8(5), pages 90-103, October.
    17. Attié, Elodie & Meyer-Waarden, Lars, 2022. "The acceptance and usage of smart connected objects according to adoption stages: an enhanced technology acceptance model integrating the diffusion of innovation, uses and gratification and privacy ca," Technological Forecasting and Social Change, Elsevier, vol. 176(C).
    18. Adamantia Pateli & Naoum Mylonas & Aggeliki Spyrou, 2020. "Organizational Adoption of Social Media in the Hospitality Industry: An Integrated Approach Based on DIT and TOE Frameworks," Sustainability, MDPI, vol. 12(17), pages 1-20, September.
    19. Ritu Agarwal & V. Sambamurthy & Ralph M. Stair, 2000. "Research Report: The Evolving Relationship Between General and Specific Computer Self-Efficacy—An Empirical Assessment," Information Systems Research, INFORMS, vol. 11(4), pages 418-430, December.
    20. Natarajan, Thamaraiselvan & Balasubramanian, Senthil Arasu & Kasilingam, Dharun Lingam, 2017. "Understanding the intention to use mobile shopping applications and its influence on price sensitivity," Journal of Retailing and Consumer Services, Elsevier, vol. 37(C), pages 8-22.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:sae:vikjou:v:47:y:2022:i:3:p:217-234. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: SAGE Publications (email available below). General contact details of provider: .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.