IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v14y2022i11p6640-d826842.html
   My bibliography  Save this article

The Antecedents of Willingness to Adopt and Pay for the IoT in the Agricultural Industry: An Application of the UTAUT 2 Theory

Author

Listed:
  • Yan Shi

    (College of Economics and Management, Nanyang Normal University, Nanyang 473061, China)

  • Abu Bakkar Siddik

    (School of Economics and Management, Shaanxi University of Science and Technology (SUST), Weiyang District, Xi’an 710021, China)

  • Mohammad Masukujjaman

    (Department of Business Administration, Northern University Bangladesh, Banani C/A, Dhaka 1213, Bangladesh)

  • Guangwen Zheng

    (School of Economics and Management, Shaanxi University of Science and Technology (SUST), Weiyang District, Xi’an 710021, China)

  • Muhammad Hamayun

    (Department of Management Science and Commerce, Bacha Khan University Charsadda, Charsadda 25100, Pakistan)

  • Abdullah Mohammed Ibrahim

    (Department of Business Administration, Northern University Bangladesh, Banani C/A, Dhaka 1213, Bangladesh)

Abstract

This paper aims to examine the factors influencing the willingness of Bangladeshi farmers to adopt and pay for the Internet of Things (IoT) in the agricultural sector by applying the theoretical framework of the Unified Theory of Acceptance and Use of Technology 2 (UTAUT 2). To this end, the study employed a quantitative research methodology and obtained data from 345 farmers from the northern districts of Bangladesh. Using a cross-sectional survey design and convenience sampling method, a study of premium fruit growers was undertaken to assess IoT use in agriculture, and the primary survey data were analyzed using the Structural Equation Modeling (SEM) approach via AMOS 26. The study confirmed that effort expectancy, performance expectancy, facilitating condition, hedonic motivation, government support, price value, personal innovativeness, and trust influence the willingness of Bangladeshi farmers to adopt the IoT. Additionally, predictors such as trust and willingness to adopt were observed to influence the willingness to pay for the IoT, while the construct ‘performance expectancy’ produced no effect. The study also revealed that the willingness to adopt moderates the association between performance expectancy, price value, and willingness to pay for the IoT. This research has novel implications because it investigates the behavior of rural customers with respect to innovation adoption, which in this case is the IoT in agriculture. It outlines precise reasons for the willing adoption of the IoT in agriculture, which will, in turn, assist marketers of IoT technology in the design of appropriate marketing strategies to increase acceptance in rural areas. Using the proposed model that incorporates farmers’ willingness to pay, this empirical study takes the first step in examining whether farmers in a developing economy such as Bangladesh will adopt and pay for the IoT.

Suggested Citation

  • Yan Shi & Abu Bakkar Siddik & Mohammad Masukujjaman & Guangwen Zheng & Muhammad Hamayun & Abdullah Mohammed Ibrahim, 2022. "The Antecedents of Willingness to Adopt and Pay for the IoT in the Agricultural Industry: An Application of the UTAUT 2 Theory," Sustainability, MDPI, vol. 14(11), pages 1-23, May.
  • Handle: RePEc:gam:jsusta:v:14:y:2022:i:11:p:6640-:d:826842
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/14/11/6640/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/14/11/6640/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. O’Cass, Aron & Carlson, Jamie, 2012. "An e-retailing assessment of perceived website-service innovativeness: Implications for website quality evaluations, trust, loyalty and word of mouth," Australasian marketing journal, Elsevier, vol. 20(1), pages 28-36.
    2. Ramos-Real, Francisco J. & Ramírez-Díaz, Alfredo & Marrero, Gustavo A. & Perez, Yannick, 2018. "Willingness to pay for electric vehicles in island regions: The case of Tenerife (Canary Islands)," Renewable and Sustainable Energy Reviews, Elsevier, vol. 98(C), pages 140-149.
    3. Franceschinis, Cristiano & Thiene, Mara & Scarpa, Riccardo & Rose, John & Moretto, Michele & Cavalli, Raffaele, 2017. "Adoption of renewable heating systems: An empirical test of the diffusion of innovation theory," Energy, Elsevier, vol. 125(C), pages 313-326.
    4. Ahmad Alaiad & Lina Zhou & Gunes Koru, 2014. "An Exploratory Study of Home Healthcare Robots Adoption Applying the UTAUT Model," International Journal of Healthcare Information Systems and Informatics (IJHISI), IGI Global, vol. 9(4), pages 44-59, October.
    5. Gefen, David, 2000. "E-commerce: the role of familiarity and trust," Omega, Elsevier, vol. 28(6), pages 725-737, December.
    6. Ashutosh Sheel & Vishnu Nath, 2020. "Antecedents of blockchain technology adoption intentions in the supply chain," International Journal of Business Innovation and Research, Inderscience Enterprises Ltd, vol. 21(4), pages 564-584.
    7. 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).
    8. Astrachan, Claudia Binz & Patel, Vijay K. & Wanzenried, Gabrielle, 2014. "A comparative study of CB-SEM and PLS-SEM for theory development in family firm research," Journal of Family Business Strategy, Elsevier, vol. 5(1), pages 116-128.
    9. Alam, Mohammad Zahedul & Hu, Wang & Kaium, Md Abdul & Hoque, Md Rakibul & Alam, Mirza Mohammad Didarul, 2020. "Understanding the determinants of mHealth apps adoption in Bangladesh: A SEM-Neural network approach," Technology in Society, Elsevier, vol. 61(C).
    10. Baabdullah, Abdullah Mohammed, 2018. "Consumer adoption of Mobile Social Network Games (M-SNGs) in Saudi Arabia: The role of social influence, hedonic motivation and trust," Technology in Society, Elsevier, vol. 53(C), pages 91-102.
    11. Lin Zhang & Liwen Chen & Zezhou Wu & Sizhen Zhang & Huanbin Song, 2018. "Investigating Young Consumers’ Purchasing Intention of Green Housing in China," Sustainability, MDPI, vol. 10(4), pages 1-15, April.
    12. repec:ucp:bkecon:9780226316529 is not listed on IDEAS
    13. Mital, Monika & Chang, Victor & Choudhary, Praveen & Papa, Armando & Pani, Ashis K., 2018. "Adoption of Internet of Things in India: A test of competing models using a structured equation modeling approach," Technological Forecasting and Social Change, Elsevier, vol. 136(C), pages 339-346.
    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. Haili Yang & Yueyue Luo & Yunhua Qiu & Jiantao Zou & Mohammad Masukujjaman & Abdullah Mohammed Ibrahim, 2023. "Modeling the Enablers of Consumers’ E-Shopping Behavior: A Multi-Analytic Approach," Sustainability, MDPI, vol. 15(8), pages 1-28, April.
    2. Antonius Setyadi & Yunata Kandhias Akbar & Sunda Ariana & Suharno Pawirosumarto, 2023. "Examining the Effect of Green Logistics and Green Human Resource Management on Sustainable Development Organizations: The Mediating Role of Sustainable Production," Sustainability, MDPI, vol. 15(13), pages 1-20, July.
    3. Ashraf Hilal & Concepción Varela-Neira, 2022. "Understanding Consumer Adoption of Mobile Banking: Extending the UTAUT2 Model with Proactive Personality," Sustainability, MDPI, vol. 14(22), pages 1-23, November.
    4. Ya Cheng & Mohammad Masukujjaman & Farid Ahammad Sobhani & Muhammad Hamayun & Syed Shah Alam, 2023. "Green Logistics, Green Human Capital, and Circular Economy: The Mediating Role of Sustainable Production," Sustainability, MDPI, vol. 15(2), pages 1-22, January.
    5. Mengyao Zhang & Hasliza Hassan & Melissa Wendy Migin, 2023. "Exploring the Consumers’ Purchase Intention on Online Community Group Buying Platform during Pandemic," Sustainability, MDPI, vol. 15(3), pages 1-13, January.
    6. Marvello Yang & Jingzu Gao & Qing Yang & Abdullah Al Mamun & Mohammad Masukujjaman & Mohammad Enamul Hoque, 2024. "Modeling the intention to consume and willingness to pay premium price for 3D-printed food in an emerging economy," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-14, December.
    7. Han-Jen Niu & Fei-Hsu Sun Hung & Po-Ching Lee & Yensen Ni & Yuhsin Chen, 2023. "Eco-Friendly Transactions: Exploring Mobile Payment Adoption as a Sustainable Consumer Choice in Taiwan and the Philippines," Sustainability, MDPI, vol. 15(24), pages 1-18, December.

    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. Haili Yang & Yueyue Luo & Yunhua Qiu & Jiantao Zou & Mohammad Masukujjaman & Abdullah Mohammed Ibrahim, 2023. "Modeling the Enablers of Consumers’ E-Shopping Behavior: A Multi-Analytic Approach," Sustainability, MDPI, vol. 15(8), pages 1-28, April.
    2. Arfi, Wissal Ben & Nasr, Imed Ben & Kondrateva, Galina & Hikkerova, Lubica, 2021. "The role of trust in intention to use the IoT in eHealth: Application of the modified UTAUT in a consumer context," Technological Forecasting and Social Change, Elsevier, vol. 167(C).
    3. Jabeen, Gul & Ahmad, Munir & Zhang, Qingyu, 2021. "Perceived critical factors affecting consumers’ intention to purchase renewable generation technologies: Rural-urban heterogeneity," Energy, Elsevier, vol. 218(C).
    4. Kyung Hwa Seo, 2020. "A Study on the Application of Kiosk Service as the Workplace Flexibility: The Determinants of Expanded Technology Adoption and Trust of Quick Service Restaurant Customers," Sustainability, MDPI, vol. 12(21), pages 1-16, October.
    5. Rajak, Manindra & Shaw, Krishnendu, 2021. "An extension of technology acceptance model for mHealth user adoption," Technology in Society, Elsevier, vol. 67(C).
    6. Mengyao Zhang & Hasliza Hassan & Melissa Wendy Migin, 2023. "Exploring the Consumers’ Purchase Intention on Online Community Group Buying Platform during Pandemic," Sustainability, MDPI, vol. 15(3), pages 1-13, January.
    7. Al-Baraa Abdulrahman Al-Mekhlafi & Ahmad Shahrul Nizam Isha & Nicholas Chileshe & Mohammed Abdulrab & Anwar Ameen Hezam Saeed & Ahmed Farouk Kineber, 2021. "Modelling the Relationship between the Nature of Work Factors and Driving Performance Mediating by Role of Fatigue," IJERPH, MDPI, vol. 18(13), pages 1-17, June.
    8. Lulwah AlSuwaidan & Nuha Almegren, 2020. "Validating the Adoption of Heterogeneous Internet of Things with Blockchain," Future Internet, MDPI, vol. 12(6), pages 1-17, June.
    9. Ahmed Ibrahim Alzahrani & T. Ramayah & Nalini Suppiah & Osama Alfarraj & Nasser Alalwan, 2020. "Modeling Blog Usage From a Developing Country Perspective Using Structural Equation Modeling (SEM)," SAGE Open, , vol. 10(3), pages 21582440209, July.
    10. Sharma, Mahak & Antony, Rose & Sehrawat, Rajat & Cruz, Angel Contreras & Daim, Tugrul U., 2022. "Exploring post-adoption behaviors of e-service users: Evidence from the hospitality sector /online travel services," Technology in Society, Elsevier, vol. 68(C).
    11. Dumpe Maira, 2015. "Online Marketing Issues of Real Estate Companies: A Case of Latvia," Baltic Journal of Real Estate Economics and Construction Management, Sciendo, vol. 3(1), pages 130-139, December.
    12. Delina, Radoslav & Vajda, Viliam & Bednár, Peter, 2007. "Trusted operational scenarios - Trust building mechanisms and strategies for electronic marketplaces," MPRA Paper 20243, University Library of Munich, Germany.
    13. Vlad Rosca, 2015. "Customer attitudes towards buying e-books: Perspectives from a Romanian publishing house," Journal of Community Positive Practices, Catalactica NGO, issue 4, pages 105-111.
    14. Sembada, Agung Y. & Koay, Kian Yeik, 2021. "How perceived behavioral control affects trust to purchase in social media stores," Journal of Business Research, Elsevier, vol. 130(C), pages 574-582.
    15. Wang, Jianjun & Liu, Fang & Li, Li & Zhang, Jian, 2022. "More than innovativeness: Comparing residents’ motivations for participating renewable energy communities in different innovation segments," Renewable Energy, Elsevier, vol. 197(C), pages 552-563.
    16. Maik Hesse & Timm Teubner & Marc T. P. Adam, 2022. "In Stars We Trust – A Note on Reputation Portability Between Digital Platforms," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 64(3), pages 349-358, June.
    17. Alalwan, Ali Abdallah & Baabdullah, Abdullah M. & Rana, Nripendra P. & Tamilmani, Kuttimani & Dwivedi, Yogesh K., 2018. "Examining adoption of mobile internet in Saudi Arabia: Extending TAM with perceived enjoyment, innovativeness and trust," Technology in Society, Elsevier, vol. 55(C), pages 100-110.
    18. Sami S. Binyamin & Md. Rakibul Hoque, 2020. "Understanding the Drivers of Wearable Health Monitoring Technology: An Extension of the Unified Theory of Acceptance and Use of Technology," Sustainability, MDPI, vol. 12(22), pages 1-20, November.
    19. Hajiheydari, Nastaran & Delgosha, Mohammad Soltani & Olya, Hossein, 2021. "Scepticism and resistance to IoMT in healthcare: Application of behavioural reasoning theory with configurational perspective," Technological Forecasting and Social Change, Elsevier, vol. 169(C).
    20. Aladwani, Adel M. & Dwivedi, Yogesh K., 2018. "Towards a theory of SocioCitizenry: Quality anticipation, trust configuration, and approved adaptation of governmental social media," International Journal of Information Management, Elsevier, vol. 43(C), pages 261-272.

    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:gam:jsusta:v:14:y:2022:i:11:p:6640-:d:826842. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.