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What makes an object smart? Conceptualization, development, and validation of a scale to measure the Smartness of a Thing (SoT)

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  • Rokonuzzaman, Md
  • Kim, Kyoungmi (Kate)
  • Dugar, Kranti Kumar
  • Fox, Jennine

Abstract

Although there is a growing interest in understanding smart objects, there is no consensus on the conceptualization of smart objects/things in the extant literature. In this paper, we focus on the smart objects/things that make up the larger system known as the Internet of Things (IoT) and measure the smartness of an object from the consumer perspective. We propose the Smartness of a Thing (SoT) as a multidimensional construct consisting of ten dimensions. Across a series of studies, we confirm the validity and reliability of our proposed SoT scale. Multiple validity tests suggest that our SoT scale can be applied to a wide range of research settings and contexts. For managerial application, we suggest a way of creating an index of a SoT score for a specific object. We also provide theoretical and managerial implications of this research.

Suggested Citation

  • Rokonuzzaman, Md & Kim, Kyoungmi (Kate) & Dugar, Kranti Kumar & Fox, Jennine, 2022. "What makes an object smart? Conceptualization, development, and validation of a scale to measure the Smartness of a Thing (SoT)," Journal of Business Research, Elsevier, vol. 141(C), pages 337-354.
    • Handle: RePEc:eee:jbrese:v:141:y:2022:i:c:p:337-354
    DOI: 10.1016/j.jbusres.2021.11.040
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    as
    1. J.J. Brakus & B.H. Schmitt & L. Zarantonello, 2009. "Brand Experience: What Is It? How Do We Measure It? And Does It Affect Loyalty?," Post-Print hal-00799102, HAL.
    2. Tourky, Marwa & Kitchen, Philip & Shaalan, Ahmed, 2020. "The role of corporate identity in CSR implementation: An integrative framework," Journal of Business Research, Elsevier, vol. 117(C), pages 694-706.
    3. Verhoef, Peter C. & Stephen, Andrew T. & Kannan, P.K. & Luo, Xueming & Abhishek, Vibhanshu & Andrews, Michelle & Bart, Yakov & Datta, Hannes & Fong, Nathan & Hoffman, Donna L. & Hu, Mandy Mantian & No, 2017. "Consumer Connectivity in a Complex, Technology-enabled, and Mobile-oriented World with Smart Products," Journal of Interactive Marketing, Elsevier, vol. 40(C), pages 1-8.
    4. Tomás Sánchez López & Damith Chinthana Ranasinghe & Bela Patkai & Duncan McFarlane, 2011. "Taxonomy, technology and applications of smart objects," Information Systems Frontiers, Springer, vol. 13(2), pages 281-300, April.
    5. Veryzer, Robert W, Jr & Hutchinson, J Wesley, 1998. "The Influence of Unity and Prototypicality on Aesthetic Responses to New Product Designs," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 24(4), pages 374-394, March.
    6. Ajzen, Icek, 1991. "The theory of planned behavior," Organizational Behavior and Human Decision Processes, Elsevier, vol. 50(2), pages 179-211, December.
    7. Thomas P. Novak & Donna L. Hoffman, 2019. "Relationship journeys in the internet of things: a new framework for understanding interactions between consumers and smart objects," Journal of the Academy of Marketing Science, Springer, vol. 47(2), pages 216-237, March.
    8. Gunasekaran, Angappa & Papadopoulos, Thanos & Dubey, Rameshwar & Wamba, Samuel Fosso & Childe, Stephen J. & Hazen, Benjamin & Akter, Shahriar, 2017. "Big data and predictive analytics for supply chain and organizational performance," Journal of Business Research, Elsevier, vol. 70(C), pages 308-317.
    9. Gregory Hancock, 2001. "Effect size, power, and sample size determination for structured means modeling and mimic approaches to between-groups hypothesis testing of means on a single latent construct," Psychometrika, Springer;The Psychometric Society, vol. 66(3), pages 373-388, September.
    10. Hoch, Stephen J, 2002. "Product Experience Is Seductive," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 29(3), pages 448-454, December.
    11. Stephen L. Vargo & Robert F. Lusch, 2016. "Institutions and axioms: an extension and update of service-dominant logic," Journal of the Academy of Marketing Science, Springer, vol. 44(1), pages 5-23, January.
    12. Donna L Hoffman & Thomas P Novak & Eileen FischerEditor & Robert KozinetsAssociate Editor, 2018. "Consumer and Object Experience in the Internet of Things: An Assemblage Theory Approach," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 44(6), pages 1178-1204.
    13. Rijsdijk, S.A. & Hultink, E.J. & Diamantopoulos, A., 2007. "Product Intelligence: Its Conceptualization, Measurement and Impact on Consumer Satisfaction," ERIM Report Series Research in Management ERS-2007-006-ORG, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    14. Henkens, Bieke & Verleye, Katrien & Larivière, Bart, 2021. "The smarter, the better?! Customer well-being, engagement, and perceptions in smart service systems," International Journal of Research in Marketing, Elsevier, vol. 38(2), pages 425-447.
    15. Manis, Kerry T. & Choi, Danny, 2019. "The virtual reality hardware acceptance model (VR-HAM): Extending and individuating the technology acceptance model (TAM) for virtual reality hardware," Journal of Business Research, Elsevier, vol. 100(C), pages 503-513.
    16. Verhoef, Peter C. & Lemon, Katherine N. & Parasuraman, A. & Roggeveen, Anne & Tsiros, Michael & Schlesinger, Leonard A., 2009. "Customer Experience Creation: Determinants, Dynamics and Management Strategies," Journal of Retailing, Elsevier, vol. 85(1), pages 31-41.
    17. Mukherjee, Amaradri & Smith, Ronn J. & Turri, Anna M., 2018. "The smartness paradox: the moderating effect of brand quality reputation on consumers' reactions to RFID-based smart fitting rooms," Journal of Business Research, Elsevier, vol. 92(C), pages 290-299.
    18. Pappas, Nikolaos & Caputo, Andrea & Pellegrini, Massimiliano Matteo & Marzi, Giacomo & Michopoulou, Eleni, 2021. "The complexity of decision-making processes and IoT adoption in accommodation SMEs," Journal of Business Research, Elsevier, vol. 131(C), pages 573-583.
    19. Linda D. Hollebeek & Rajendra K. Srivastava & Tom Chen, 2019. "S-D logic–informed customer engagement: integrative framework, revised fundamental propositions, and application to CRM," Journal of the Academy of Marketing Science, Springer, vol. 47(1), pages 161-185, January.
    20. Inès Chouk & Zied Mani, 2017. "Drivers of consumers’ resistance to smart products," Post-Print hal-02980400, HAL.
    21. Lee, Seunghyun & Ha, Sejin & Widdows, Richard, 2011. "Consumer responses to high-technology products: Product attributes, cognition, and emotions," Journal of Business Research, Elsevier, vol. 64(11), pages 1195-1200.
    22. Manjit S. Yadav & Paul A. Pavlou, 2020. "Technology-enabled interactions in digital environments:a conceptual foundation for current and future research," Journal of the Academy of Marketing Science, Springer, vol. 48(1), pages 132-136, January.
    23. Pankaj Aggarwal & Ann L. McGill, 2007. "Is That Car Smiling at Me? Schema Congruity as a Basis for Evaluating Anthropomorphized Products," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 34(4), pages 468-479, June.
    24. Lars Bergkvist & Martin Eisend, 2021. "The dynamic nature of marketing constructs," Journal of the Academy of Marketing Science, Springer, vol. 49(3), pages 521-541, May.
    25. Fernandes, Teresa & Oliveira, Elisabete, 2021. "Understanding consumers’ acceptance of automated technologies in service encounters: Drivers of digital voice assistants adoption," Journal of Business Research, Elsevier, vol. 122(C), pages 180-191.
    26. Herbert Dawid & Reinhold Decker & Thomas Hermann & Hermann Jahnke & Wilhelm Klat & Rolf König & Christian Stummer, 2017. "Management science in the era of smart consumer products: challenges and research perspectives," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 25(1), pages 203-230, March.
    27. Rust, Roland T., 2020. "The future of marketing," International Journal of Research in Marketing, Elsevier, vol. 37(1), pages 15-26.
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