عوامل مؤثر بر بکارگیری رفتارهای دوستدارانه و ایمن در محیط‌ زیست میان کشاورزان شهرستان باوی

Ajzen, I., 1991. The theory of planned behavior. Orgnizational Behavior and Human Decision Processes, 50, 179-211. De Young, 509-526.

Amghani, M.S., Miladi, H., Savari, M., Mojtahedi, M., 2025. Factors influencing the agricultural extension model sites in Iran. Scientific Reports 15(1), 9590.

Ataei, P., Karimi, H., Moradhaseli, S., Babaei, M.H., 2022. Analysis of farmers’ environmental sustainability behavior: the use of norm activation theory (a sample from Iran). Arabian Journal of Geosciences 15(9), 859.

Bijani, M., Mohammadi-Mehr, S., Shiri, N., 2022. Towards rural women's pro-environmental behaviors: Application of protection motivation theory. Global Ecology and Conservation, e02303.

-Cammarata, M., Scuderi, A., Timpanaro, G., Cascone, G., 2024. Factors influencing farmers' intention to participate in the voluntary carbon market: An extended theory of planned behavior. Journal of Environmental Management 369, 122367.

Chin, W.W., 2009. How to write up and report PLS analyses. In Handbook of partial least squares: Concepts, methods and applications (pp. 655-690). Berlin, Heidelberg: Springer Berlin Heidelberg.

Davis, F.D., 1989. Perceived usefulness, perceived ease of use, and user acceptance of information technology. Management Information Systems Quarterly, 319-340.

Davis, F.D., Bagozzi, R.P., Warshaw, P.R., 1989. User acceptance of computer technology: a comparison of two theoretical models. Management Science 35(8), 982-1003.

Drescher, M., Hannay, J., Feick, R.D., Caldwell, W., 2024. Social psychological factors drive farmers’ adoption of environmental best management practices. Journal of Environmental Management 350, 119491.

Ellison, C.A., Skinner, Q.D., Hicks, L.S., 2009. Assessment of best-management practice effects on rangeland stream water quality using multivariate statistical techniques. Rangeland ecology & management, 62(4), 371-386.

Gabel, V. M., Home, R., Stolze, M., Pfiffner, L., Birrer, S., Köpke, U., 2018. Motivations for swiss lowland farmers to conserve biodiversity: Identifying factors to predict proportions of implemented ecological compensation areas. Journal of Rural Studies 62, 68-76.

Ghorbannezhad, M., Choobchian, S., Farhadian, H., 2019. Investigating factors affecting farmer’s intention of adopting renewable energy technology in Larestan County. Iranian Journal of Agricutural Economics and Development Research 50(2), 347-365.

- Guillem, E.E., Murray-Rust, D., Robinson, D.T., Barnes, A., Rounsevell, M.D.A., 2015. Modelling farmer decision-making to anticipate tradeoffs between provisioning ecosystem services and biodiversity. Agricultural Systems 137, 12-23.

Hair Jr, J.F., Matthews, L.M., Matthews, R.L., Sarstedt, M., 2017. PLS-SEM or CB-SEM: updated guidelines on which method to use. International Journal of Multivariate Data Analysis 1(2), 107-123.

Hair, J. F., Sarstedt, M., Ringle, C.M., Mena, J.A., 2012. An assessment of the use of partial least squares structural equation modeling in marketing research. Journal of the Academy of Marketing Science 40, 414-433.

Jackson, L., van Noordwijk, M., Bengtsson, J., Foster, W., Lipper, L., Pulleman, M., Vodouhe, R., 2010. Biodiversity and agricultural sustainagility: from assessment to adaptive management. Current opinion in environmental sustainability, 2(1-2), 80-87.

Keykhosravi, M., Dehyouri, S., Mirdamadi, S.M., 2023. Modeling the environmental performance by focusing on environmental behavior rural farmers. Environmental and Sustainability Indicators 20, 100309.

Lai, H.J., 2018. Investigating older adults’ decisions to use mobile devices for learning, based on the unified theory of acceptance and use of technology. Interactive Learning Environments 1-12.

Ledesma, R.D., Tosi, J.D., Díaz-Lázaro, C.M., Poóab, F.M., 2018. Predicting road safety behavior with implicit attitudes and the theory of planned behavior. Journal of Safety Research 66, 187-194.

Li, J., Jiang, R., Tang, X., 2024. Assessing psychological factors on farmers' intention to apply organic manure: an application of extended theory of planned behavior. Environment, Development and Sustainability 26(1), 2467-2491.

Li, M., Chen, K., 2020. An empirical analysis of the desire and behavior of peasant household green agricultural production. Journal of Huazhong Agricultural University (Social Science Edition) 04, 173-174.

Maas, B., Fabian, Y., Kross, S.M., Richter, A., 2021. Divergent farmer and scientist perceptions of agricultural biodiversity, ecosystem services and decision-making. Biological Conservation, 256, 109065.

Michels, M., von Hobe, C.F., Weller von Ahlefeld, P.J., Musshoff, O., 2021. The adoption of drones in German agriculture: a structural equation model. Precision Agriculture 22(6), 1728-1748.

Milliet, E., Plancherel, C., Roulin, A., Butera, F. 2024. The effect of collaboration on farmers’ pro-environmental behaviors–A systematic review. Journal of Environmental Psychology 93, 102223.

Muk, A., Chung, C., 2015. Applying the technology acceptance model in a two-country study of SMS advertising. Journal of Business Research 68(1), 1-6.

Nikou, S.A., Economides, A.A., 2018. Mobile‐Based micro‐Learning and Assessment: Impact on learning performance and motivation of high school students. Journal of Computer Assisted Learning, 34(3), 269-278.

Rajab-Kalantarzadeh, M., Savari, M., 2025. Impacts of resilience on food security in rural households of Iran under drought conditions using an extended sustainable livelihood framework. Results in Engineering 105145.

Rasyidha, M.H., Najib, M., Sumarwan, U., 2020. The influence of intention to use medians potato varieties on the result of technological innovation development with technology acceptance models. Journal Management 24(1), 38-58.

Ricci, G.F., Jeong, J., De Girolamo, A.M., Gentile, F., 2020. Effectiveness and feasibility of different management practices to reduce soil erosion in an agricultural watershed. Land Use Policy 90, 104306.

Robinson, R.A., Sutherland, W.J., 2002. Post‐war changes in arable farming and biodiversity in Great Britain. Journal of applied Ecology 39(1), 157-176.

Rouzaneh, D., Savari, M., 2024. Redefining maladaptation to climate change: a conceptual examination of the unintended consequences of adaptation strategies on ecological-human systems. Frontiers in Forests and Global Change 7, 1506295.

Sarstedt, M., Hair, J.F., Pick, M., Liengaard, B.D., Radomir, L., Ringle, C.M., 2022. Progress in partial least squares structural equation modeling use in marketing research in the last decade. Psychology & Marketing 39(5), 1035-1064.

Savari, M., Khaleghi, B., 2023. Application of the extended theory of planned behavior in predicting the behavioral intentions of Iranian local communities toward forest conservation. Frontiers in Psychology 14, 1121396.

Savari, M., Khaleghi, B., 2023. Application of the extended theory of planned behavior in predicting the behavioral intentions of Iranian local communities toward forest conservation. Frontiers in Psychology 14, 1121396.

Savari, M., Khaleghi, B., 2024. Factors influencing the application of forest conservation behavior among rural communities in Iran. Environmental and Sustainability Indicators 21, 100325.

Savari, M., Khaleghi, B., 2025. Promoting safe and pro-environmental behaviors for sustainable forest management: Integrating technology acceptance model and the norm activation model. Socio-Economic Planning Sciences 98, 102158.

- Savari, M., Damaneh, H. E., Damaneh, H. E. 2024a. Conservation behaviors of local communities towards mangrove forests in Iran. Global Ecology and Conservation 56, e03311.

Savari, M., Damaneh, H.E., Damaneh, H.E., 2024c. Managing the effects of drought through the use of risk reduction strategy in the agricultural sector of Iran. Climate Risk Management 45, 100619.

Savari, M., Damaneh, H.E., Damaneh, H.E., 2025b. Discover the determining factors of the use of mangrove forests conservation behaviors. Journal for Nature Conservation 83, 126768.

Savari, M., Ghezi, M., Molavi, H., 2025a. Social capital and behavioral response to water scarcity: Sustainable agriculture policies pathways for adopting dry direct-seeded rice. Agricultural Water Management 313, 109478.

Savari, M., Khaleghi, B., Sheheytavi, A., 2024b. Iranian farmers' response to the drought crisis: How can the consequences of drought be reduced?. International Journal of Disaster Risk Reduction 114, 104910.

- Savari, M., Sheheytavi, A., Amghani, M.S., 2023. Promotion of adopting preventive behavioral intention toward biodiversity degradation among Iranian farmers. Global Ecology and Conservation 43, e02450.

- Savari, M., Yazdanpanah, M., Rouzaneh, D., 2022. Factors affecting the implementation of soil conservation practices among Iranian farmers. Scientific Reports 12(1), 8396.

- Sharifzadeh, M. S., Damalas, C.A., Abdollahzadeh, G., Ahmadi-Gorgi, H., 2017. Predicting adoption of biological control among Iranian rice farmers: An application of the extended technology acceptance model (TAM2). Crop Protection 96, 88-96.

- Shokati Amghani, M., Mojtahedi, M., Savari, M., 2023. An economic effect assessment of extension services of agricultural extension model sites for the irrigated wheat production in Iran. Scientific Reports 13(1), 16947.

Stoeckli, S., Birrer, S., Zellweger-Fischer, J., Balmer, O., Jenny, M., Pfiffner, L., 2017. Quantifying the extent to which farmers can influence biodiversity on their farms. Agriculture, Ecosystems & Environment 237, 224-233.

Tabachnick, B.G., Fidell, L.S., 1996. SPSS for Windows workbook to accompany large sample examples of using multivariate statistics. HarperCollins College Publishers.

Ulimboka, R., Mbise, F.P., Nyahongo, J., Røskaft, E., 2022. Awareness of urban communities on biodiversity conservation in Tanzania’s protected areas. Global Ecology and Conservation 38, e02251.

Venkatesh, V., Davis, F.D., 2000. A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management Science 46(2), 186-204.

Verma, P., Sinha, N., 2018. Integrating perceived economic wellbeing to technology acceptance model: The case of mobile based agricultural extension service. Technological Forecasting and Social Change,126, 207-216.

Wang, S., Fan, J., Zhao, D., Yang, S., Fu, Y., 2016. Predicting consumers’ intention to adopt hybrid electric vehicles: using an extended version of the theory of planned behavior model. Transportation 43(1), 123-143.

Wang, Y., Chen, Y., 2025. Confucian Culture and Farmers' Pro-environmental behaviors: Self-Interest or Mutual Benefit?. Journal of Environmental Psychology, 102548.

Wilson, L., Boase, K., Nelson, L.D., Temkin, N.R., Giacino, J.T., Markowitz, A.J., Manley, G.T., 2021. A manual for the glasgow outcome scale-extended interview. Journal of neurotrauma, 38(17), 2435-2446.

Wong, G.Z., Wong, K.H., Lau, T.C., Lee, J.H., Kok, Y.H., 2024. Study of intention to use renewable energy technology in Malaysia using TAM and TPB. Renewable Energy 221, 119787.

Yadav, R., Pathak, G.S., 2016. Young consumers' intention towards buying green products in a developing nation: Extending the theory of planned behavior. Journal of Cleaner Production 135, 732-739.

Zhang, Y., Wang, Z., Zhou, G., 2014. Determinants of employee electricity saving: the role of social benefits, personal benefits and organizational electricity saving climate. Journal of Cleaner Production 66, 280-287.