IDEAS home Printed from https://ideas.repec.org/a/eee/teinso/v55y2018icp175-182.html
   My bibliography  Save this article

Adoption behavior towards the use of nuclear technology in agriculture: A causal analysis

Author

Listed:
  • Ebrahimi Sarcheshmeh, Elaheh
  • Bijani, Masoud
  • Sadighi, Hassan

Abstract

Simultaneous achievement of sustainability, profitability, and productivity in the agricultural sector requires the development and utilization of appropriate technologies derived from agricultural research and extension of technological innovations in this sector. One of the most important issues in this respect is nuclear technology. Accordingly, the present study aims to carry out a causal analysis of the adoption behavior towards the use of nuclear technology in agriculture. The research method was descriptive-correlational and causal-relationship and a survey was used to collect the required data. The statistical population of this study consists of agricultural activists including faculty members of state departments of agriculture and research centers in Tehran and Alborz Provinces, Iran (N = 275); out of which, 160 individuals were selected through Krejcie and Morgan Table using stratified random sampling method with proportional assignment. The research instrument was a questionnaire, the validity of which was approved by a number of specialists in the field of agricultural education and extension as well as agricultural nuclear technology. The reliability of the whole items of the questionnaire was also obtained through a pilot study using Cronbach's alpha test (0.62≤α ≤ 0.82). The results of correlational tests showed that the variables of triability, compatibility, relative advantage, usefulness, attitude, social norms, and improved conditions (including social, cultural, political, and health-related items) have a positive and significant correlation with the behavior of adopting nuclear technology in agricultural sector. Moreover, the results of statistical tests of comparison of means (Kruskal-Wallis) revealed that the attitudes of faculty members in Agricultural Research Institute of Atomic Energy Organization in terms of views, knowledge, behavior, and tendency to nuclear technology adoption in agricultural sector were significantly different from those of other respondents. The causal analysis results showed that the component of improved conditions (social, cultural, political, and health-related items) had the greatest impact on the behavior of adopting nuclear technology in agriculture (β = 0.464).

Suggested Citation

  • Ebrahimi Sarcheshmeh, Elaheh & Bijani, Masoud & Sadighi, Hassan, 2018. "Adoption behavior towards the use of nuclear technology in agriculture: A causal analysis," Technology in Society, Elsevier, vol. 55(C), pages 175-182.
  • Handle: RePEc:eee:teinso:v:55:y:2018:i:c:p:175-182
    DOI: 10.1016/j.techsoc.2018.08.001
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0160791X17301410
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.techsoc.2018.08.001?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. Lucas W. Davis, 2012. "Prospects for Nuclear Power," Journal of Economic Perspectives, American Economic Association, vol. 26(1), pages 49-66, Winter.
    2. Kieran Mathieson, 1991. "Predicting User Intentions: Comparing the Technology Acceptance Model with the Theory of Planned Behavior," Information Systems Research, INFORMS, vol. 2(3), pages 173-191, September.
    3. Tanya McGill & Samantha Bax, 2007. "From Beliefs to Success: Utilizing an Expanded TAM to Predict Web Page Development Success," International Journal of Technology and Human Interaction (IJTHI), IGI Global, vol. 3(3), pages 36-53, July.
    4. Priyanka Surendran, 2012. "Technology Acceptance Model: A Survey of Literature," International Journal of Business and Social Research, MIR Center for Socio-Economic Research, vol. 2(4), pages 175-178, August.
    5. Sutherland, Lee-Ann & Peter, Sarah & Zagata, Lukas, 2015. "Conceptualising multi-regime interactions: The role of the agriculture sector in renewable energy transitions," Research Policy, Elsevier, vol. 44(8), pages 1543-1554.
    6. Priyanka Surendran, 2012. "Technology Acceptance Model: A Survey of Literature," International Journal of Business and Social Research, LAR Center Press, vol. 2(4), pages 175-178, August.
    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. Harm-Jan Steenhuis & Xin Fang & Tolga Ulusemre, 2020. "Global Diffusion of Innovation during the Fourth Industrial Revolution: The Case of Additive Manufacturing or 3D Printing," International Journal of Innovation and Technology Management (IJITM), World Scientific Publishing Co. Pte. Ltd., vol. 17(01), pages 1-34, February.
    2. Ronaghi, Marzieh & Ronaghi, Mohammad Hossein, 2021. "Investigating the impact of economic, political, and social factors on augmented reality technology acceptance in agriculture (livestock farming) sector in a developing country," Technology in Society, Elsevier, vol. 67(C).
    3. 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.
    4. Naser Valizadeh & Masoud Bijani & Enayat Abbasi, 2021. "Farmers’ participatory-based water conservation behaviors: evidence from Iran," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(3), pages 4412-4432, March.
    5. Beatrice Dingha & Leah Sandler & Arnab Bhowmik & Clement Akotsen-Mensah & Louis Jackai & Kevin Gibson & Ronald Turco, 2019. "Industrial Hemp Knowledge and Interest among North Carolina Organic Farmers in the United States," Sustainability, MDPI, vol. 11(9), pages 1-17, May.
    6. Nam, Hoseok & Konishi, Satoshi & Nam, Ki-Woo, 2021. "Comparative analysis of decision making regarding nuclear policy after the Fukushima Dai-ichi Nuclear Power Plant Accident: Case study in Germany and Japan," 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. Sanduni I. Senaratne & Samantha M. Samarasinghe, 2019. "Factors Affecting the Intention to Adopt M-Learning," International Business Research, Canadian Center of Science and Education, vol. 12(2), pages 150-164, February.
    2. Ernest Osei & PETER KWASI OPPONG, 2020. "The Role of Computer Education in the Behavioral Intentions to Use Information Technology in Hospitals in Kumasi, Ghana," Journal of Economics and Behavioral Studies, AMH International, vol. 12(4), pages 13-22.
    3. Shafiqul Islam & Mohammad Fakhrul Islam & Noor-E- Zannat, 2023. "Behavioral Intention to Use Online for Shopping in Bangladesh: A Technology Acceptance Model Analysis," SAGE Open, , vol. 13(3), pages 21582440231, September.
    4. Nurul Nadia Abd Aziz & Normilia Abd Wahid, 2018. "Factors Influencing Online Purchase Intention among University Students," International Journal of Academic Research in Business and Social Sciences, Human Resource Management Academic Research Society, International Journal of Academic Research in Business and Social Sciences, vol. 8(7), pages 702-717, July.
    5. Ahmad Althunibat & Muhammad Binsawad & Mohammed Amin Almaiah & Omar Almomani & Adeeb Alsaaidah & Waleed Al-Rahmi & Mohamed Elhassan Seliaman, 2021. "Sustainable Applications of Smart-Government Services: A Model to Understand Smart-Government Adoption," Sustainability, MDPI, vol. 13(6), pages 1-28, March.
    6. Jeremiah Kau Makokoane & Docter Joe Khosa, 2021. "Applying UTAUT and Fuzzy Dematel Methods: A New Legal Aid Administration System," International Journal of Management Science and Business Administration, Inovatus Services Ltd., vol. 8(1), pages 24-36, November.
    7. Tai Abdulrahman Alshammari & Khalid Mhasan Alshammary & Fahad Maiyah Alshammari, 2022. "Impact of Perceived Quality of E-Health Services on Patient Behavioral Intention to Use E-Health Services: A Moderating Role of Knowledge of E-Health Management," Journal of Economics and Behavioral Studies, AMH International, vol. 14(1), pages 23-38.
    8. Kimiagari, Salman & Asadi Malafe, Neda Sharifi, 2021. "The role of cognitive and affective responses in the relationship between internal and external stimuli on online impulse buying behavior," Journal of Retailing and Consumer Services, Elsevier, vol. 61(C).
    9. Anuja Shukla & Shiv Kumar Sharma, 2018. "Evaluating Consumers’ Adoption of Mobile Technology for Grocery Shopping: An Application of Technology Acceptance Model," Vision, , vol. 22(2), pages 185-198, June.
    10. Jimin Shim & Joonho Moon & Myungkeun Song & Won Seok Lee, 2021. "Antecedents of Purchase Intention at Starbucks in the Context of Covid-19 Pandemic," Sustainability, MDPI, vol. 13(4), pages 1-14, February.
    11. Daojun Zhong & Tengfei Lyu, 2022. "Implementation of supply chain management practices and its effect on textile firm's performance at China: A mediation analysis," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 43(6), pages 2515-2528, September.
    12. Olga Sideri & Michalis Papoutsidakis & Theodore Lilas & Nikitas Nikitakos & Dimitrios Papachristos, 2021. "Green shipping onboard: acceptance, diffusion & adoption of LNG and electricity as alternative fuels in Greece," Journal of Shipping and Trade, Springer, vol. 6(1), pages 1-29, December.
    13. Kirsi Kotilainen & Ulla A. Saari, 2018. "Policy Influence on Consumers’ Evolution into Prosumers—Empirical Findings from an Exploratory Survey in Europe," Sustainability, MDPI, vol. 10(1), pages 1-22, January.
    14. Siahaan, Andysah Putera Utama & Nasution, Muhammad Dharma Tuah Putra, 2018. "Online Shoppers Acceptance An Exploratory Study," INA-Rxiv 4hs6x, Center for Open Science.
    15. Lestari, Diyan, 2019. "Measuring e-commerce adoption behaviour among gen-Z in Jakarta, Indonesia," Economic Analysis and Policy, Elsevier, vol. 64(C), pages 103-115.
    16. Dirsehan, Taşkın & Cankat, Ece, 2021. "Role of mobile food-ordering applications in developing restaurants’ brand satisfaction and loyalty in the pandemic period," Journal of Retailing and Consumer Services, Elsevier, vol. 62(C).
    17. Xin Yi Chan & Muhammad Khalilur Rahman & Abdullah Al Mamun & Anas A. Salameh & Wan Mohd Hirwani Wan Hussain & Syed Shah Alam, 2022. "Predicting the Intention and Adoption of Mobile Shopping During the COVID-19 Lockdown in Malaysia," SAGE Open, , vol. 12(2), pages 21582440221, April.
    18. M. Nazmul Islam & Fumitaka Furuoka & Aida Idris, 2021. "Influence of Gender Diversity on Employee Work Engagement in the Context of Organizational Change: Evidence From Bangladeshi Employees," International Journal of Asian Business and Information Management (IJABIM), IGI Global, vol. 12(3), pages 1-19, July.
    19. Ufuk Cebeci & Oguzhan Ince & Hulya Turkcan, 2019. "Understanding the Intention to Use Netflix: An Extended Technology Acceptance Model Approach," International Review of Management and Marketing, Econjournals, vol. 9(6), pages 152-157.
    20. Mohammad Mahtab Alam & Naim Ahmad & Quadri Noorulhasan Naveed & Ayyub Patel & Mohammed Abohashrh & Mohammed Abdul Khaleel, 2021. "E-Learning Services to Achieve Sustainable Learning and Academic Performance: An Empirical Study," Sustainability, MDPI, vol. 13(5), pages 1-20, March.

    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:55:y:2018:i:c:p:175-182. 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.