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Environmental air pollution management system: Predicting user adoption behavior of big data analytics

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  • Shahbaz, Muhammad
  • Gao, Changyuan
  • Zhai, LiLi
  • Shahzad, Fakhar
  • Khan, Imran

Abstract

This study has a dual purpose: to explore the novel phenomenon of a big data analytics-environmental air pollution (BDA-EAP) management system, and to propose a research model of factors influencing adoption of such a system. The research model is based on task-technology fit (TTF) and unified theory of acceptance and use of technology (UTAUT) concepts. A comprehensive BDA-EAP management system is proposed and the potential adoption speed of such a system evaluated by sending structured questionnaires to the employees of relevant environmental agencies, yielding 412 valid responses, using the structural equation modeling approach. The results of the study predict that factors of TTF including task characteristics and technology characteristics are strong influencers of TTF, and TTF is a strong predictor of the behavioral intention of users to adopt a BDA-EAP management system. The results demonstrated that the combination of TTF and UTAUT is a stronger predictor of behavioral intention than either TTF or UTAUT alone. Furthermore, resistance to change negatively moderates and extrinsic motivation positively moderates the significant positive relationship between behavioral intention and adoption of a BDA-EAP management system. Meanwhile, behavioral intention, resistance to change, and extrinsic motivation have a significant three-way interaction impact on adoption of a BDA-EAP management system such that an increase in users’ extrinsic motivation will decrease the negative impact of resistance to change during the process of adoption. The study findings contribute to the literature regarding the use of BDA to manage EAP, and provide a basis for future research in this area.

Suggested Citation

  • Shahbaz, Muhammad & Gao, Changyuan & Zhai, LiLi & Shahzad, Fakhar & Khan, Imran, 2021. "Environmental air pollution management system: Predicting user adoption behavior of big data analytics," Technology in Society, Elsevier, vol. 64(C).
    • Handle: RePEc:eee:teinso:v:64:y:2021:i:c:s0160791x20312768
    DOI: 10.1016/j.techsoc.2020.101473
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    References listed on IDEAS

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    1. Muhammad Shahbaz & Changyuan Gao & Lili Zhai & Fakhar Shahzad & Muhammad Rizwan Arshad, 2020. "Moderating Effects of Gender and Resistance to Change on the Adoption of Big Data Analytics in Healthcare," Complexity, Hindawi, vol. 2020, pages 1-13, January.
    2. Muhammad Shahbaz & Changyuan Gao & Lili Zhai & Fakhar Shahzad & Adnan Abbas & Rimsha Zahid, 2020. "Investigating the Impact of Big Data Analytics on Perceived Sales Performance: The Mediating Role of Customer Relationship Management Capabilities," Complexity, Hindawi, vol. 2020, pages 1-17, June.
    3. Yogesh K. Dwivedi & Nripendra P. Rana & Anand Jeyaraj & Marc Clement & Michael D. Williams, 2019. "Re-examining the Unified Theory of Acceptance and Use of Technology (UTAUT): Towards a Revised Theoretical Model," Information Systems Frontiers, Springer, vol. 21(3), pages 719-734, June.
    4. Milner, Mattie & Rice, Stephen & Rice, Connor, 2019. "Support for environmentally-friendly airports influenced by political affiliation and social identity," Technology in Society, Elsevier, vol. 59(C).
    5. Oded Nov & Chen Ye, 2009. "Resistance to change and the adoption of digital libraries: An integrative model," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 60(8), pages 1702-1708, August.
    6. Kleijnen, Mirella & Lee, Nick & Wetzels, Martin, 2009. "An exploration of consumer resistance to innovation and its antecedents," Journal of Economic Psychology, Elsevier, vol. 30(3), pages 344-357, June.
    7. Sarstedt, Marko & Ringle, Christian M. & Smith, Donna & Reams, Russell & Hair, Joseph F., 2014. "Partial least squares structural equation modeling (PLS-SEM): A useful tool for family business researchers," Journal of Family Business Strategy, Elsevier, vol. 5(1), pages 105-115.
    8. Chong, Alain Yee-Loong, 2013. "Mobile commerce usage activities: The roles of demographic and motivation variables," Technological Forecasting and Social Change, Elsevier, vol. 80(7), pages 1350-1359.
    9. Al-Saedi, Karrar & Al-Emran, Mostafa & Ramayah, T. & Abusham, Eimad, 2020. "Developing a general extended UTAUT model for M-payment adoption," Technology in Society, Elsevier, vol. 62(C).
    10. Spatar, Daria & Kok, Orhun & Basoglu, Nuri & Daim, Tugrul, 2019. "Adoption factors of electronic health record systems," Technology in Society, Elsevier, vol. 58(C).
    11. Shahzad, Fakhar & Xiu, GuoYi & Shahbaz, Muhammad, 2017. "Organizational culture and innovation performance in Pakistan's software industry," Technology in Society, Elsevier, vol. 51(C), pages 66-73.
    12. Dale L. Goodhue, 1995. "Understanding User Evaluations of Information Systems," Management Science, INFORMS, vol. 41(12), pages 1827-1844, December.
    13. Oded Nov & Chen Ye, 2008. "Users' personality and perceived ease of use of digital libraries: The case for resistance to change," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 59(5), pages 845-851, March.
    14. Miao, C. Fred & Evans, Kenneth R. & Shaoming, Zou, 2007. "The role of salesperson motivation in sales control systems -- Intrinsic and extrinsic motivation revisited," Journal of Business Research, Elsevier, vol. 60(5), pages 417-425, May.
    15. Shahzad, Fakhar & Xiu, Guoyi & Shafique Khan, Muhammad Aamir & Shahbaz, Muhammad, 2020. "Predicting the adoption of a mobile government security response system from the user's perspective: An application of the artificial neural network approach," Technology in Society, Elsevier, vol. 62(C).
    16. Shin, Dong-Hee, 2016. "Demystifying big data: Anatomy of big data developmental process," Telecommunications Policy, Elsevier, vol. 40(9), pages 837-854.
    17. Shahzad, Fakhar & Xiu, GuoYi & Wang, Jian & Shahbaz, Muhammad, 2018. "An empirical investigation on the adoption of cryptocurrencies among the people of mainland China," Technology in Society, Elsevier, vol. 55(C), pages 33-40.
    18. Viswanath Venkatesh & Fred D. Davis, 2000. "A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies," Management Science, INFORMS, vol. 46(2), pages 186-204, February.
    19. Fatima Zahra Barrane & Gahima Egide Karuranga & Diane Poulin, 2018. "Technology Adoption and Diffusion: A New Application of the UTAUT Model," International Journal of Innovation and Technology Management (IJITM), World Scientific Publishing Co. Pte. Ltd., vol. 15(06), pages 1-19, December.
    20. Kuvaas, Bård & Buch, Robert & Weibel, Antoinette & Dysvik, Anders & Nerstad, Christina G.L., 2017. "Do intrinsic and extrinsic motivation relate differently to employee outcomes?," Journal of Economic Psychology, Elsevier, vol. 61(C), pages 244-258.
    21. Zhang, Fengli & Johnson, Dana & Johnson, Mark & Watkins, David & Froese, Robert & Wang, Jinjiang, 2016. "Decision support system integrating GIS with simulation and optimisation for a biofuel supply chain," Renewable Energy, Elsevier, vol. 85(C), pages 740-748.
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    Cited by:

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    2. Changchun Zhu & Jianguo Du & Fakhar Shahzad & Muhammad Umair Wattoo, 2022. "Environment Sustainability Is a Corporate Social Responsibility: Measuring the Nexus between Sustainable Supply Chain Management, Big Data Analytics Capabilities, and Organizational Performance," Sustainability, MDPI, vol. 14(6), pages 1-20, March.
    3. Bayrak, Tuncay, 2021. "A framework for decision makers to design a business analytics platform for distributed organizations," Technology in Society, Elsevier, vol. 67(C).

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