IDEAS home Printed from https://ideas.repec.org/a/eee/teinso/v64y2021ics0160791x20312768.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0160791X20312768
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.techsoc.2020.101473?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Shahbaz, Muhammad & Zahid, Rimsha, 2022. "Probing the factors influencing cloud computing adoption in healthcare organizations: A three-way interaction model," Technology in Society, Elsevier, vol. 71(C).
    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).

    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. Shahbaz, Muhammad & Zahid, Rimsha, 2022. "Probing the factors influencing cloud computing adoption in healthcare organizations: A three-way interaction model," Technology in Society, Elsevier, vol. 71(C).
    2. Konstantinos Dendrinos & George Spais, 2024. "An investigation of selected UTAUT constructs and consumption values of Gen Z and Gen X for mobile banking services and behavioral intentions to facilitate the adoption of mobile apps," Journal of Marketing Analytics, Palgrave Macmillan, vol. 12(3), pages 492-522, September.
    3. Paavo Ritala & Mika Vanhala & Katja Järveläinen, 2019. "The Role Of Employee Incentives And Motivation On Organisational Innovativeness In Different Organisational Cultures," International Journal of Innovation Management (ijim), World Scientific Publishing Co. Pte. Ltd., vol. 24(04), pages 1-32, December.
    4. Yong‐Mi Kim, 2010. "The adoption of university library Web site resources: A multigroup analysis," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 61(5), pages 978-993, May.
    5. Lingming Chen & Md. Salamun Rashidin & Fei Song & Yi Wang & Sara Javed & Jian Wang, 2021. "Determinants of Consumer’s Purchase Intention on Fresh E-Commerce Platform: Perspective of UTAUT Model," SAGE Open, , vol. 11(2), pages 21582440211, June.
    6. Chang, Mona & Walimuni, Arachchilage C.S.M. & Kim, Min-cheol & Lim, Hwa-soon, 2022. "Acceptance of tourism blockchain based on UTAUT and connectivism theory," Technology in Society, Elsevier, vol. 71(C).
    7. Cliff R. Kikawa & Charity Kiconco & Moses Agaba & Dimas Ntirampeba & Amos Ssematimba & Billy M. Kalema, 2022. "Social Media Marketing for Small and Medium Enterprise Performance in Uganda: A Structural Equation Model," Sustainability, MDPI, vol. 14(21), pages 1-20, November.
    8. Chia-Chien Hsu & Brian Sandford & Chia-Ju Ling & Ching-Torng Lin, 2021. "Can the Unified Theory of Acceptance and Use of Technology (UTAUT) Help Explain Subjective Well-Being in Senior Citizens due to Gateball Participation?," IJERPH, MDPI, vol. 18(17), pages 1-15, August.
    9. Arghya Ray & Muskan Jain & Lan Ma & Khalid Hussain Alhamzi & Ananya Ray & Long She, 2024. "The impact of personality traits, barriers and gamification on Gen X continuance intention for mobile credit bill payment apps," Journal of Financial Services Marketing, Palgrave Macmillan, vol. 29(3), pages 1154-1174, September.
    10. Faqih, Khaled M.S., 2016. "An empirical analysis of factors predicting the behavioral intention to adopt Internet shopping technology among non-shoppers in a developing country context: Does gender matter?," Journal of Retailing and Consumer Services, Elsevier, vol. 30(C), pages 140-164.
    11. Queiroz, Maciel M. & Fosso Wamba, Samuel, 2019. "Blockchain adoption challenges in supply chain: An empirical investigation of the main drivers in India and the USA," International Journal of Information Management, Elsevier, vol. 46(C), pages 70-82.
    12. Mario Arias-Oliva & Jorge de Andrés-Sánchez & Jorge Pelegrín-Borondo, 2021. "Fuzzy Set Qualitative Comparative Analysis of Factors Influencing the Use of Cryptocurrencies in Spanish Households," Mathematics, MDPI, vol. 9(4), pages 1-19, February.
    13. 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.
    14. van de Sanden, Stephanie & Willems, Kim & Brengman, Malaika, 2022. "How customers motive attributions impact intentions to use an interactive kiosk in-store," Journal of Retailing and Consumer Services, Elsevier, vol. 66(C).
    15. Kashfia Maisha & Sabakun Naher Shetu, 2023. "Influencing factors of e-learning adoption amongst students in a developing country: the post-pandemic scenario in Bangladesh," Future Business Journal, Springer, vol. 9(1), pages 1-16, December.
    16. Lavaei Adaryani, Rasool & Palouj, Mojtaba & Karbasioun, Mostafa & Asadi, Ali & Gholami, Hesamedin & Kianirad, Ali & Joodi Damirchi, Milad, 2024. "Antecedents of blockchain adoption in the poultry supply chain: An extended UTAUT model," Technological Forecasting and Social Change, Elsevier, vol. 202(C).
    17. Alex Mari & Andreina Mandelli & René Algesheimer, 2023. "Shopping with Voice Assistants: How Empathy Affects Individual and Family Decision-Making Outcomes," Working Papers 399, University of Zurich, Department of Business Administration (IBW).
    18. Yung-Tsan Jou & Klint Allen Mariñas & Charmine Sheena Saflor & Michael Nayat Young, 2022. "Investigating Accessibility of Social Security System (SSS) Mobile Application: A Structural Equation Modeling Approach," Sustainability, MDPI, vol. 14(13), pages 1-18, June.
    19. John D'Ambra & Concepción S. Wilson & Shahriar Akter, 2013. "Application of the task-technology fit model to structure and evaluate the adoption of E-books by Academics," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 64(1), pages 48-64, January.
    20. San-Martín, Sonia & Prodanova, Jana & Jiménez, Nadia, 2015. "The impact of age in the generation of satisfaction and WOM in mobile shopping," Journal of Retailing and Consumer Services, Elsevier, vol. 23(C), pages 1-8.

    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:eee:teinso:v:64:y:2021:i:c:s0160791x20312768. 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: Catherine Liu (email available below). General contact details of provider: https://www.journals.elsevier.com/technology-in-society .

    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.