Theoretical framework and methods for the analysis of the adoption-diffusion of innovations in agriculture: a bibliometric review

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Rafael Mesa Manzano
Javier Esparcia Pérez


Marco teórico y métodos para el análisis de la adopción-difusión de innovaciones en la agricultura: una revisión bibliométrica

La adopción y difusión de innovaciones son esenciales tanto para el desarrollo de los procesos de producción como para la mejora de la sostenibilidad medioambiental agrícola, en cualquier etapa de la cadena de valor. En los últimos años, los científicos sociales han estudiado la difusión y adopción de innovaciones agrícolas desde diferentes enfoques, como la teoría de la difusión de la innovación, los modelos de comportamiento, los modelos econométricos, el capital social y el análisis de redes sociales, entre otros. En este estudio analizamos la literatura científica a través un análisis bibliométrico basado en las redes de co-citación, para explorar los pilares teóricos y el acoplamiento bibliográfico, con el que exploramos las tendencias metodológicas actuales de investigación de los últimos 50 años. Las conclusiones que se derivan de este análisis son que en los últimos años los investigadores agrícolas sobre adopción y difusión han diseñado métodos multivariantes que combinan diversos enfoques de estudio. Esta revisión contribuye a un mejor entendimiento de la teoría y práctica en el estudio de la adopción y difusión de innovaciones agrícolas.


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Mesa Manzano, R., & Esparcia Pérez, J. (2023). Theoretical framework and methods for the analysis of the adoption-diffusion of innovations in agriculture: a bibliometric review. Boletín De La Asociación De Geógrafos Españoles, (96).


Abadi Ghadim, A.K., & Pannell, D.J. (1999). A conceptual framework of adoption of an agricultural innovation, 5150(October).

Aboud, A., Sofranko, A.J., & Ndiaye, S. (1996). The effect of gender on adoption of conservation practices by heads of farm households in Kenya. Society and Natural Resources, 9(5), 447-463.

Adesina, A.A., & Baidu-Forson, J. (1995). Farmers' perceptions and adoption of new agricultural technology: evidence from analysis in Burkina Faso and Guinea, West Africa. Agricultural Economics, 13(1), 19.

Adesina, A.A., & Zinnah, M. (1993). Technology characteristics, farmers' perceptions and adoption decisions: A Tobit model application in Sierra Leone. Agricultural Economics, 9(4), 297-311.

Adolwa, I.S., Schwarze, S., Waswa, B., & Buerkert, A. (2019). Understanding system innovation adoption: A comparative analysis of integrated soil fertility management uptake in Tamale (Ghana) and Kakamega (Kenya). Renewable Agriculture and Food Systems, 34(4), 313-325.

Adrian, A.M., Norwood, S.H., & Mask, P.L. (2005). Producers’ perceptions and attitudes toward precision agriculture technologies. Computers and Electronics in Agriculture, 48(3), 256-271.

Affholder, F., Jourdain, D., Quang, D.D., Tuong, T.P., Morize, M., & Ricome, A. (2010). Constraints to farmers’ adoption of direct-seeding mulch-based cropping systems: A farm scale modeling approach applied to the mountainous slopes of Vietnam. Agricultural Systems, 103(1), 51-62.

Aguilar-Gallegos, N., Muñoz-Rodríguez, M., Santoyo-Cortés, H., Aguilar-Ávila, J., & Klerkx, L. (2015). Information networks that generate economic value: A study on clusters of adopters of new or improved technologies and practices among oil palm growers in Mexico. Agricultural Systems, 135, 122-132.

Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50(2), 179-211.

Ajzen, I., & Fishbein, M. (1980). Understanding attitudes and predicting social behavior. Englewood Cliffs. Prentice-Hall.

Akimowicz, M., Del Corso, J.-P., Gallai, N., & Képhaliacos, C. (2021). Adopt to adapt? Farmers’ varietal innovation adoption in a context of climate change. The case of sunflower hybrids in France. Journal of Cleaner Production, 279.

Alary, V., Corbeels, M., Affholder, F., Alvarez, S., Soria, A., Valadares Xavier, J.H., & Scopel, E. (2016). Economic assessment of conservation agriculture options in mixed crop-livestock systems in Brazil using farm modelling. Agricultural Systems, 144, 33-45.

Alavalapati, J.R.R., Luckert, M.K., & Gill, D.S. (1995). Adoption of agroforestry practices: a case study from Andhra Pradesh, India. Agroforestry Systems, 32(1), 1-14.

Aria, M., & Cuccurullo, C. (2017). bibliometrix: An R-tool for comprehensive science mapping analysis. Journal of Informetrics, 11(4), 959-975.

Aria, M., Misuraca, M., & Spano, M. (2020). Mapping the Evolution of Social Research and Data Science on 30 Years of Social Indicators Research. Social Indicators Research, 149(3), 803-831.

Austin, E., Willock, J., Deary, I. ., Gibson, G. ., Dent, J. ., Edwards-Jones, G., Morgan, O., Grieve, R., & Sutherland, A. (1998). Empirical models of farmer behaviour using psychological, social and economic variables. Part I: linear modelling. Agricultural Systems, 58(2), 203-224.

Bandiera, O., & Rasul, I. (2006). Social Networks and Technology Adoption in Northern Mozambique*. The Economic Journal, 116(514), 869-902.

Bass, F.M. (1969). A new product growth for model consumer durables. Management Science, 15(5), 215-227.

Batz, F.-J., Janssen, W., & Peters, K.J. (2003). Predicting technology adoption to improve research priority - Setting. Agricultural Economics, 28(2), 151-164.

Batz, F.-J., Peters, K.J., & Janssen, W. (1999). The influence of technology characteristics on the rate and speed of adoption. Agricultural Economics, 21(2), 121-130.

Besley, T., & Case, A. (1993). Modeling Technology Adoption in Developing Countries. American Economic Review Papers and Proceedings, 83(2), 396-402.

Bhatta, G.D., Ojha, H.R., Aggarwal, P.K., Sulaiman, V.R., Sultana, P., Thapa, D., …& Ghimire, L. (2017). Agricultural innovation and adaptation to climate change: empirical evidence from diverse agro-ecologies in South Asia. Environment, Development and Sustainability, 19(2), 497-525.

Blazy, J.-M., Tixier, P., Thomas, A., Ozier-Lafontaine, H., Salmon, F., & Wery, J. (2010). BANAD: A farm model for ex ante assessment of agro-ecological innovations and its application to banana farms in Guadeloupe. Agricultural Systems, 103(4), 221-232.

Blondel, V.D., Guillaume, J.-L., Lambiotte, R., & Lefebvre, E. (2008). Fast unfolding of communities in large networks. Journal of Statistical Mechanics: Theory and Experiment, 2008(10), P10008.

Boahene, K., Snijders, T.A.B., & Folmer, H. (1999). An integrated socioeconomic analysis of innovation adoption: The case of hybrid cocoa in Ghana. Journal of Policy Modeling, 21(2), 167-184.

Bowman, B. A., Denny, M.D., & Stone, A.E. (2020). Exploring producer innovation adoption using an extension-led trialing program. Journal of Extension, 58(1), 1-7.[0330:AORMIB]2.0.CO;2

Boyack, K.W., & Klavans, R. (2010). Co-citation analysis, bibliographic coupling, and direct citation: Which citation approach represents the research front most accurately? Journal of the American Society for Information Science and Technology, 61(12), 2389-2404.

Branca, G., & Perelli, C. (2020). ‘Clearing the air’: common drivers of climate-smart smallholder food production in Eastern and Southern Africa. Journal of Cleaner Production, 270.

Brown, C., Alexander, P., & Rounsevell, M. (2018). Empirical evidence for the diffusion of knowledge in land use change. Journal of Land Use Science, 13(3), 269-283.

Brown, D. (2000). A review of bio-economic models (Report).

Brown, J.J., & Reingen, P.H. (1987). Social Ties and Word-of-Mouth Referral Behavior. Journal of Consumer Research, 14(3), 350-362.

Brugere, C., Padmakumar, K.P., Leschen, W., & Tocher, D.R. (2020). What influences the intention to adopt aquaculture innovations? Concepts and empirical assessment of fish farmers’ perceptions and beliefs about aquafeed containing non-conventional ingredients. Aquaculture Economics and Management, 25(3), 339-366.

Burton, M., Rigby, D., & Young, T. (2003). Modelling the adoption of organic horticultural technology in the UK using Duration Analysis. Australian Journal of Agricultural and Resource Economics, 47(1), 29-54.

Cadger, K., Quaicoo, A.K., Dawoe, E., & Isaac, M. E. (2016). Development interventions and agriculture adaptation: A social network analysis of farmer knowledge transfer in Ghana. Agriculture (Switzerland), 6(3).

Caffaro, F., & Cavallo, E. (2019). The effects of individual variables, farming system characteristics and perceived barriers on actual use of smart farming technologies: Evidence from the piedmont region, northwestern Italy. Agriculture (Switzerland), 9(5).

Caffaro, F., & Cavallo, E. (2020). Perceived Barriers to the Adoption of Smart Farming Technologies in Piedmont Region, Northwestern Italy: The Role of User and Farm Variables. Lecture Notes in Civil Engineering, 67, 681-689.

Campos, H. (2021). The innovation revolution in agriculture: a roadmap to value creation. Springer Nature.

Chanyapate, C. (2018). Agricultural development and peasant education. In Adult Education: International Perspectives From China (vol. 5, pp. 156-173). Taylor and Francis.

Charatsari, C., & Lioutas, E.D. (2013). Of Mice and Men: When Face-to-Face Agricultural Information is Replaced by a Mouse Click. Journal of Agricultural and Food Information, 14(2), 103-131.

Chatalova, L., Djanibekov, N., Gagalyuk, T., & Valentinov, V. (2017). The paradox of water management projects in central Asia: An institutionalist perspective. Water (Switzerland), 9(4).

Chen, Z., & Song, S. (2008). Efficiency and technology gap in China’s agriculture: A regional meta-frontier analysis. China Economic Review, 19(2), 287-296.

Concu, G. B., Atzeni, G., Meleddu, M., & Vannini, M. (2020). Policy design for climate change mitigation and adaptation in sheep farming: Insights from a study of the knowledge transfer chain. Environmental Science and Policy, 107, 99-113.

Conley, T.G., & Udry, C.R. (2010). Learning about a New Technology: Pineapple in Ghana. American Economic Review, 100(1), 35-69.

Cuevas-Reyes, V. (2019). Decisive factors for the adoption of silage in livestock production units in the dry tropics of northwestern Mexico. Ciencia Tecnologia Agropecuaria, 20(3), 467-477.

D’Emden, F.H., Llewellyn, R.S., & Burton, M.P. (2006). Adoption of conservation tillage in Australian cropping regions: An application of duration analysis. Technological Forecasting and Social Change, 73(6), 630-647.

Daouda, O., & Bryant, C.R. (2016). Analysis of power relations among actors and institutions in the process of agricultural adaptation to climate change and variability from the diffusion of innovations perspective. Agricultural Adaptation to Climate Change. Springer International Publishing.

Davis, F.D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly: Management Information Systems, 13(3), 319-339.

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.

DiMaggio, P.J., & Powell, W.W. (1983). The Iron Cage Revisited: Institutional Isomorphism and Collective Rationality in Organizational Fields. American Sociological Review, 48(2), 147-160.

Dimara, E., & Skuras, D. (2003). Adoption of agricultural innovations as a two-stage partial observability process. Agricultural Economics, 28(3), 187-196.

Doss, C.R. (2006). Analyzing technology adoption using microstudies: limitations, challenges, and opportunities for improvement. Agricultural Economics, 34(3), 207-219.

Edwards-Jones, G. (2006). Modelling farmer decision-making: Concepts, progress and challenges. Animal Science, 82(6), 783-790.

Elsey, B., & Sirichoti, K. (2003). The theory and practice of workplace learning in the adoption of integrated pest management by tropical fruit growers in Thailand. Journal of Workplace Learning, 15(2), 53-62.

FAO (1989). Sustainable Development and Natural Resources Management (Twenty-Fifth Conference, Paper C 89/2 - Supplement).

Fatch, P., Masangano, C., Kamoto, J.F.M., Jordan, I., Hilger, T., Mambo, I., Nuppenau, E.-A. (2020). Are farmer perceptions among significant determinants of adoption of agricultural diversity in malawi? A case of Lilongwe district. Journal of Agriculture and Rural Development in the Tropics and Subtropics, 121(2), 277-288.

Feder, G., Just, R. E., & Zilberman, D. (1985). Adoption of Agricultural Innovations in Developing Countries: A Survey. Economic Development and Cultural Change, 33(2), 255-298.

Feder, G., Murgai, R., & Quizon, J.B. (2004). The acquisition and diffusion of knowledge: The case of pest management training in Farmer Field Schools, Indonesia. Journal of Agricultural Economics, 55(2), 221-243.

Feder, G., & O’Mara, G. (1982). On Information and Innovation Diffusion: A Bayesian Approach. American Journal of Agricultural Economics, 64(1), 145-147.

Feder, G., & Umali, D. (1993). The adoption of agricultural innovations: a review. Technological Forecasting and Social Change, 43(3-4), 215-239.

Fischer, A., Arnold, A., & Gibbs, M. (1996). Information and the speed of innovation adoption. American Journal of Agricultural Economics, 78(4), 1073-1081.

Fischer, E., & Qaim, M. (2012). Linking Smallholders to Markets: Determinants and Impacts of Farmer Collective Action in Kenya. World Development, 40(6), 1255-1268.

Fishbein, M., & Ajzen, I. (1975). Belief, attitude, intention and behaviour: An introduction to theory and research (vol. 27). Addison‐Wesley.

Foster, A.D., & Rosenzweig, M. R. (1995). Learning by Doing and Learning from Others: Human Capital and Technical Change in Agriculture. Journal of Political Economy, 103(6), 1176-1209.

Fu, Z., Yue, J., Li, D., Zhang, X., Zhang, L., & Gao, Y. (2007). Evaluation of learner adoption intention of e-learning in China: A methodology based on perceived innovative attributes. New Zealand Journal of Agricultural Research, 50(5), 609–615.

Gailhard, İ. U., Bavorová, M., & Pirscher, F. (2015). Adoption of agri-environmental measures by organic farmers: The role of interpersonal communication. Journal of Agricultural Education and Extension, 21(2), 127-148.

García Hernández, A. (2013). Las redes de colaboración científica y su efecto en la productividad. Un análisis bibliométrico. Investigación Bibliotecológica: Archivonomía, Bibliotecología e Información, 27(59), 159-175.

Gava, O., Favilli, E., Bartolini, F., & Brunori, G. (2017). Knowledge networks and their role in shaping the relations within the Agricultural Knowledge and Innovation System in the agroenergy sector. The case of biogas in Tuscany (Italy). Journal of Rural Studies, 56, 100-113.

Geels, F.W. (2002). Technological transitions as evolutionary reconfiguration processes: a multi-level perspective and a case-study. Research Policy, 31(8), 1257-1274.

Gil, J., Siebold, M., & Berger, T. (2015). Adoption and development of integrated crop-livestock-forestry systems in Mato Grosso, Brazil. Agriculture, Ecosystems and Environment, 199, 394-406.

Goddard, E., Boaitey, A., Hailu, G., & Poon, K. (2016). Improving sustainability of beef industry supply chains. British Food Journal, 118(6), 1533-1552.

Goldberger, J.R. (2008). Diffusion and adoption of non-certified organic agriculture: A case study from semi-arid makueni district, Kenya. Journal of Sustainable Agriculture, 32(4), 531-564.

Granovetter, M. S. (1973). The Strength of Weak Ties. American Journal of Sociology, 78(6), 1360-1380.

Griliches, Z. (1957). Hybrid Corn: An Exploration in the Economics of Technological Change. Econometrica, 25(4), 501-522.

Gruber, M. (2020). An evolutionary perspective on adoption-diffusion theory. Journal of Business Research, 116, 535-541.

Gureyev, V.N., & Mazov, N.A. (2022). Bibliometrics as a promising tool for solving publication ethics issues. Heliyon, 8(3).

Hägerstrand, T. (1965). A Monte Carlo approach to diffusion. European Journal of Sociology/Archives Européennes de Sociologie, 6(1), 43-67.

Hägerstrand, T. (1967). Innovation diffusion as a spatial process. University of Chicago Press.

Haji, L., Valizadeh, N., Rezaei-Moghaddam, K., & Hayati, D. (2020). Analyzing iranian farmers’ behavioral intention towards acceptance of drip irrigation using extended technology acceptance model. Journal of Agricultural Science and Technology, 22(5), 1177-1190.

Hannus, V., & Sauer, J. (2021). Understanding farmers’ intention to use a sustainability standard: The role of economic rewards, knowledge, and ease of use. Sustainability (Switzerland), 13(19).

Hansen, D. L., Shneiderman, B., Smith, M.A., & Himelboim, I. (2019). Installation, orientation, and layout. In Analyzing Social Media Networks with NodeXL: Insights from a Connected World (pp. 55-66). Elsevier.

Hansen, M.T. (1999). The Search-Transfer Problem: The Role of Weak Ties in Sharing Knowledge across Organization Subunits. Administrative Science Quarterly, 44(1), 82-111.

Harun, D.R., Priyanto, S.H., & Suharti, L. (2021). Farmer cards: Model, database, accuracy, and improvement in goverment quality service. Asian Journal of Agriculture and Rural Development, 11(3), 236-244.

Hasler, K., Olfs, H.-W., Omta, O., & Bröring, S. (2016). Drivers for the adoption of eco-innovations in the German fertilizer supply chain. Sustainability (Switzerland), 8(8).

Hassanein, N., & Kloppenburg J.R., J. (1995). Where the Grass Grows Again: Knowledge Exchange in the Sustainable Agriculture Movement. Rural Sociology, 60(4), 721-740.

Heffernan, C., Thomson, K., & Nielsen, L. (2008). Livestock vaccine adoption among poor farmers in Bolivia: Remembering innovation diffusion theory. Vaccine, 26(19), 2433-2442.

Hekkert, M.P., Suurs, R.A.A., Negro, S.O., Kuhlmann, S., & Smits, R.E.H.M. (2007). Functions of innovation systems: A new approach for analysing technological change. Technological Forecasting and Social Change, 74(4), 413-432.

Hosmer Jr, D.W., Lemeshow, S., & Sturdivant, R.X. (2013). Applied logistic regression (vol. 398). John Wiley & Sons.

Isham, J. (2002). The Effect of Social Capital on Fertiliser Adoption: Evidence from Rural Tanzania. Journal of African Economies, 11(1), 39-60.

Jamison, D. T., & Lau, L. J. (1982). Farmer education and farm efficiency. Johns Hopkins University Press.

Jarden, R. J., Narayanan, A., Sandham, M., Siegert, R. J., & Koziol-Mclain, J. (2019). Bibliometric mapping of intensive care nurses’ wellbeing: Development and application of the new iAnalysis model. BMC Nursing, 18(1), 1-11.

Johansen, H.E. (1971). Diffusion of Strip Cropping in Southwestern Wisconsin. Annals of the Association of American Geographers, 61(4), 671-683.

Joseph, A.E., & Keddie, P.D. (1981). The diffusion of grain corn production through southern Ontario, 1946–1971. Canadian Geographer / Le Géographe Canadien, 25(4), 333-349.

Kabunga, N.S., Dubois, T., & Qaim, M. (2012). Heterogeneous information exposure and technology adoption: The case of tissue culture bananas in Kenya. Agricultural Economics (United Kingdom), 43(5), 473-486.

Kapoor, K.K., Dwivedi, Y.K., & Williams, M.D. (2014a). Innovation adoption attributes: A review and synthesis of research findings. European Journal of Innovation Management, 17(3), 327-348.

Kapoor, K.K., Dwivedi, Y.K., & Williams, M.D. (2014b). Rogers’ Innovation Adoption Attributes: A Systematic Review and Synthesis of Existing Research. Information Systems Management, 31(1), 74-91.

Kaufmann, P., Stagl, S., & Franks, D.W. (2009). Simulating the diffusion of organic farming practices in two New EU Member States. Ecological Economics, 68(10), 2580-2593.

Kaufmann, P., Zemeckis, R., Skulskis, V., Kairyte, E., & Stagl, S. (2011). The diffusion of organic farming in Lithuania. Journal of Sustainable Agriculture, 35(5), 522-549.

Kebebe, E. (2019). Bridging technology adoption gaps in livestock sector in Ethiopia: A innovation system perspective. Technology in Society, 57, 30-37.

Kebebe, E., Duncan, A.J., Klerkx, L., de Boer, I.J.M., & Oosting, S.J. (2015). Understanding socio-economic and policy constraints to dairy development in Ethiopia: A coupled functional-structural innovation systems analysis. Agricultural Systems, 141, 69-78.

Kee, K.F. (2017). Adoption and diffusion. The International Encyclopedia of Organizational Communication, 1, 41-54.

Kleminski, R., Kazienko, P., & Kajdanowicz, T. (2020). Analysis of direct citation, co-citation and bibliographic coupling in scientific topic identification. Journal of Information Science, 48(3), 349-373.

Klerkx, L., Aarts, N., & Leeuwis, C. (2010). Adaptive management in agricultural innovation systems: The interactions between innovation networks and their environment. Agricultural Systems, 103(6), 390-400.

Klerkx, L., Petter Stræte, E., Kvam, G. T., Ystad, E., & Butli Hårstad, R. M. (2017). Achieving best-fit configurations through advisory subsystems in AKIS: case studies of advisory service provisioning for diverse types of farmers in Norway. Journal of Agricultural Education and Extension, 23(3), 213-229.

Klerkx, L., van Mierlo, B., & Leeuwis, C. (2012). Evolution of systems approaches to agricultural innovation: concepts, analysis and interventions. In I. Darnhofer, D. Gibbon & B. Dedieu (Eds.), Farming Systems Research into the 21st Century: The New Dynamic (pp. 457-483). Springer Netherlands.

Kline, R.B. (2015). Principles and practice of structural equation modeling. Guilford publications.

Knickel, K., Brunori, G., Rand, S., & Proost, J. (2009). Towards a Better Conceptual Framework for Innovation Processes in Agriculture and Rural Development: From Linear Models to Systemic Approaches. The Journal of Agricultural Education and Extension, 15(2), 131-146.

Knierim, A., Boenning, K., Caggiano, M., Cristóvão, A., Dirimanova, V., Koehnen, T., & Prager, K. (2015). The AKIS concept and its relevance in selected EU member states. Outlook on Agriculture, 44(1), 29-36.

Knierim, A., Kernecker, M., Erdle, K., Kraus, T., Borges, F., & Wurbs, A. (2019). Smart farming technology innovations – Insights and reflections from the German Smart-AKIS hub. NJAS - Wageningen Journal of Life Sciences, 90-91(1), 1-10.

Koundouri, P., Nauges, C., & Tzouvelekas, V. (2006). Technology Adoption under Production Uncertainty: Theory and Application to Irrigation Technology. American Journal of Agricultural Economics, 88(3), 657-670.

Koutsou, S., & Partalidou, M. (2012). Pursuing Knowledge and Innovation through Collective Actions. The Case of Young Farmers in Greece. Journal of Agricultural Education and Extension, 18(5), 445-460.

Krueger, N.F., & Carsrud, A.L. (1993). Entrepreneurial intentions: Applying the theory of planned behaviour. Entrepreneurship & Regional Development, 5(4), 315-330.

Lamprinopoulou, C., Renwick, A., Klerkx, L., Hermans, F., & Roep, D. (2014). Application of an integrated systemic framework for analysing agricultural innovation systems and informing innovation policies: Comparing the Dutch and Scottish agrifood sectors. Agricultural Systems, 129, 40-54.

Lancichinetti, A., & Fortunato, S. (2009). Community detection algorithms: A comparative analysis. Physical Review E - Statistical, Nonlinear, and Soft Matter Physics, 80(5), 1-11.

Lawrence, P. (1988). The Political Economy of The ‘Green Revolution’ in Africa. Review of African Political Economy, 15(42), 59-75.

Lee, D.R. (2005). Agricultural Sustainability and Technology Adoption: Issues and Policies for Developing Countries. American Journal of Agricultural Economics, 87(5), 1325-1334.

Li, Y., & Sui, M. (2011). Literature Analysis of Innovation Diffusion. Technology and Investment, 02(03), 155-162.

Linnenluecke, M.K., Marrone, M., & Singh, A.K. (2019). Conducting systematic literature reviews and bibliometric analyses. Australian Journal of Management, 45(2), 175-194.

Lioutas, E.D., & Charatsari, C. (2018). Green Innovativeness in Farm Enterprises: What Makes Farmers Think Green? Sustainable Development, 26(4), 337-349.

Long, J.S., & Freese, J. (2006). Regression models for categorical dependent variables using Stata (vol. 7). Stata press.

Long, T.B., Blok, V., & Coninx, I. (2016). Barriers to the adoption and diffusion of technological innovations for climate-smart agriculture in Europe: Evidence from the Netherlands, France, Switzerland and Italy. Journal of Cleaner Production, 112, 9-21.

MacVaugh, J., & Schiavone, F. (2010). Limits to the diffusion of innovation: A literature review and integrative model. European Journal of Innovation Management, 13(2), 197-221.

Mafimisebi, T.E., Onyeka, U.P., Ayinde, I.A., & Ashaolu, O.F. (2006). Analysis of farmer-specific socio-economic determinants of adoption of modern livestock management technologies by farmers in Southwest Nigeria. Journal of Food, Agriculture and Environment, 4(1), 183-186.

Mahajan, V., Muller, E., & Bass, F.M. (1990). New Product Diffusion Models in Marketing: A Review and Directions for Research. Journal of Marketing, 54(1), 1-26.

Makate, C., Makate, M., Mango, N., & Siziba, S. (2019). Increasing resilience of smallholder farmers to climate change through multiple adoption of proven climate-smart agriculture innovations. Lessons from Southern Africa. Journal of Environmental Management, 231, 858-868.

Mandari, H.E., & Chong, Y.-L. (2018). Gender and age differences in rural farmers’ intention to use m-government services. Electronic Government, 14(3), 217-239.

Mankad, A., Loechel, B., & Measham, P.F. (2017). Psychosocial barriers and facilitators for area-wide management of fruit fly in southeastern Australia. Agronomy for Sustainable Development, 37(6).

Mansfield, E. (1961). Technical Change and the Rate of Imitation. Econometrica, 29(4), 741-766.

Marangunić, N., & Granić, A. (2015). Technology acceptance model: a literature review from 1986 to 2013. Universal Access in the Information Society, 14(1), 81-95.

Marra, M., Pannell, D., & Abadi Ghadim, A. (2003). The economics of risk, uncertainty and learning in the adoption of new agricultural technologies: where are we on the learning curve? Agricultural Systems, 75(2-3), 215-234.

Mejia, C., Wu, M., Zhang, Y., & Kajikawa, Y. (2021). Exploring Topics in Bibliometric Research Through Citation Networks and Semantic Analysis. Frontiers in Research Metrics and Analytics, 6.

Mesa, R., & Esparcia, J. (2021). Difusión de innovaciones en la agricultura ecológica y análisis de redes sociales: un ensayo de aplicación. Anales de Geografía de La Universidad Complutense, 41(1), 133-159.

Meyer, J.W., & Rowan, B. (1977). Institutionalized Organizations: Formal Structure as Myth and Ceremony. American Journal of Sociology, 83(2), 340-363.

Micheels, E.T., & Nolan, J.F. (2016). Examining the effects of absorptive capacity and social capital on the adoption of agricultural innovations: A Canadian Prairie case study. Agricultural Systems, 145, 127-138.

Moghavvemi, S., & Salleh, N.A.M. (2014). Malaysian entrepreneurs propensity to use IT innovation. Journal of Enterprise Information Management, 27(2), 139-157.

Moglia, M., Alexander, K.S., Larson, S., Giger-Dray, A., Greenhalgh, G., Thammavong, P., & Case, P. (2020). Gendered roles in agrarian transition: A study of lowland rice farming in Lao PDR. Sustainability (Switzerland), 12(13).

Moglia, M., Podkalicka, A., & McGregor, J. (2018). An agent-based model of residential energy efficiency adoption. JASSS, 21(3).

Molina-Morales, F.X., & Martínez-Fernández, M.T. (2010). Social networks: Effects of social capital on firm innovation. Journal of Small Business Management, 48(2), 258-279.

Morgan, K., & Murdoch, J. (2000). Organic vs. conventional agriculture: knowledge, power and innovation in the food chain. Geoforum, 31(2), 159-173.

Nakagawa, S., Samarasinghe, G., Haddaway, N.R., Westgate, M.J., O’Dea, R.E., Noble, D.W.A., & Lagisz, M. (2019). Research Weaving: Visualizing the Future of Research Synthesis. Trends in Ecology & Evolution, 34(3), 224-238.

Nkamleu, G.B. (Ed.) (2010). Root causes of the food crisis: Technological progress and productivity growth in African agriculture. Nova Science Publishers, Inc.

Nkonya, E., Schroeder, T., & Norman, D. (1997). Factors affecting adoption of improved maize seed and fertiliser in Northern Tanzania. Journal of Agricultural Economics, 48(1), 1-12.

O’Malley, A.J., & Marsden, P.V. (2008). The Analysis of Social Networks. Health Services & Outcomes Research Methodology, 8(4), 222-269.

Onwuegbuzie, A.J., & Frels, R. (2016). Seven steps to a comprehensive literature review: A multimodal and cultural approach. Sage.

Onyancha, O.B., & Onyango, E.A. (2020). Information and communication technologies for agriculture (ICT4Ag) in sub-saharan Africa: A bibliometrics perspective based on web of science data, 1991-2018. African Journal of Food, Agriculture, Nutrition and Development, 20(5), 16343-16370.

Ortiz, O., Orrego, R., Pradel, W., Gildemacher, P., Castillo, R., Otiniano, R., & Kahiu, I. (2013). Insights into potato innovation systems in Bolivia, Ethiopia, Peru and Uganda. Agricultural Systems, 114, 73-83.

Ozcelik, A.E. (2016). Driving initiatives for future improvements of specialty agricultural crops. Computers and Electronics in Agriculture, 121, 122-134.

Pachoud, C., Labeyrie, V., & Polge, E. (2019). Collective action in Localized Agrifood Systems: An analysis by the social networks and the proximities. Study of a Serrano cheese producers’ association in the Campos de Cima da Serra/Brazil. Journal of Rural Studies, 72, 58-74.

Pathak, H.S., Brown, P., & Best, T. (2019). A systematic literature review of the factors affecting the precision agriculture adoption process. Precision Agriculture, 20(6), 1292-1316.

Petticrew, M., & Roberts, H. (2008). Systematic reviews in the social sciences: A practical guide. John Wiley & Sons.

Pillai, R., & Sivathanu, B. (2020). Adoption of internet of things (IoT) in the agriculture industry deploying the BRT framework. Benchmarking, 27(4), 1341-1368.

Prager, K., Creaney, R., & Lorenzo-Arribas, A. (2017). Criteria for a system level evaluation of farm advisory services. Land Use Policy, 61, 86-98.

Ramstad, Y. (1990). The institutionalism of John R. Commons: theoretical foundations of a volitional economics. Research in the History of Economic Thought and Methodology, 8, 53-104.

Rejesus, R.M., & Jones, M.S. (2020). Perspective: enhancing economic evaluations and impacts of integrated pest management Farmer Field Schools (IPM-FFS) in low-income countries. Pest Management Science, 76(11), 3527-3536.

Rogers, A. (1993). Adult education and agricultural extension: some comparisons. International Journal of Lifelong Education, 12(3), 165-176.

Rogers, E. M. (1962). Diffusion of innovations (1st ed.). The Free Press.

Rogers, E.M. (1983). Diffusion of innovations (3rd ed.). The Free Press.

Rogers, E.M. (1995). Diffusion of innovations (4th ed.). The Free Press.

Rogers, E.M. (2003). Diffusion of Innovations (5th ed.). The Free Press.

Roussy, C., Ridier, A., & Chaib, K. (2017). Farmers’ innovation adoption behaviour: Role of perceptions and preferences. International Journal of Agricultural Resources, Governance and Ecology, 13(2), 138-161.

Ruttan, V.W. (1996). What happened to technology adoption-diffusion research? Sociologia Ruralis, 36(1), 51-73.

Ryan, B., & Gross, N. (1950). Acceptance and diffusion of hybrid corn seed in two Iowa communities Acceptance and Diffusion of Hybrid Corn Seed in Two Iowa Communities, 29(372).

Ryan, B., & Gross, N.C. (1943). The Diffusion of Hybrid Seed Corn in Two Iowa Communities. Rural Sociology, 8(1), 15.

Saha, A., Love, H.A., & Schwart, R. (1994). Adoption of Emerging Technologies under Output Uncertainty. American Journal of Agricultural Economics, 76(4), 836-846.

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.

Sharp, J.T., & Hinrichs, C.C. (2001). Farmer support for publicly funded sustainable agriculture research: The case of hoop structures for swine. American Journal of Alternative Agriculture, 16(2), 81-88.

Shi, Y., Zeng, Y., Engo, J., Han, B., Li, Y., & Muehleisen, R.T. (2020). Leveraging inter-firm influence in the diffusion of energy efficiency technologies: An agent-based model. Applied Energy, 263.

Sneddon, J., Soutar, G., & Mazzarol, T. (2011). Modelling the faddish, fashionable and efficient diffusion of agricultural technologies: A case study of the diffusion of wool testing technology in Australia. Technological Forecasting and Social Change, 78(3), 468-480.

Souza, G.D., Cyphers, D., & Phipps, T. (1993). Factors Affecting the Adoption of Sustainable Agricultural Practices. Agricultural and Resource Economics Review, 22(2), 159-165.

Spielman, D.J. (2005). Innovation systems perspectives on developing-country agriculture: a critical review.

Spielman, D.J., Davis, K., Negash, M., & Ayele, G. (2011). Rural innovation systems and networks: findings from a study of Ethiopian smallholders. Agriculture and Human Values, 28(2), 195-212.

Stone, G.D., Flachs, A., & Diepenbrock, C. (2014). Rhythms of the herd: Long term dynamics in seed choice by Indian farmers. Technology in Society, 36(1), 26-38.

Sultan, F., Farley, J.U., & Lehmann, D.R. (1990). A meta-analysis of applications of diffusion models. Journal of Marketing Research, 27(1), 70-77.

Tidd, J. (2001). Innovation management in context: environment, organization and performance. International Journal of Management Reviews, 3(3), 169-183.

Tveden-Nyborg, S., Misfeldt, M., & Boelt, B. (2013). Diffusing scientific knowledge to innovative experts. Journal of Science Communication, 12(1), 1824-2049.

Usman, M., Hameed, G., Saboor, A., Almas, L.K., & Hanif, M. (2021). R&d innovation adoption, climatic sensitivity, and absorptive ability contribution for agriculture tfp growth in Pakistan. Agriculture (Switzerland), 11(12).

Vagnani, G., Gatti, C., & Proietti, L. (2019). A conceptual framework of the adoption of innovations in organizations: a meta-analytical review of the literature. Journal of Management and Governance, 23(4), 1023-1062.

Valente, T.W. (2005). Network Models and Methods for Studying the Diffusion of Innovations. In P.J. Carrington, J. Scott & S. Wasserman (Eds.), Models and Methods in Social Network Analysis (pp. 98-116). Cambridge University Press.

Valente, T. W., Coronges, K., Lakon, C., & Costenbader, E. (2008). How Correlated Are Network Centrality Measures? Connections (Toronto, Ont.), 28(1), 16-26.

Valente, T.W., & Rogers, E.M. (1995). The Origins and Development of the Diffusion of Innovations Paradigm as an Example of Scientific Growth. Science Communication, 16(3), 242-273.

van Oorschot, J., Hofman, E., & Halman, J. (2018). A bibliometric review of the innovation adoption literature. Technological Forecasting and Social Change, 134, 1-21.

Venkatesh, V., & Bala, H. (2008). Technology Acceptance Model 3 and a Research Agenda on Interventions. Decision Sciences, 39(2), 273-315.

Venkatesh, V., & Davis, F.D. (2000). A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies. Management Science, 46(2), 186-204.

Venkatesh, V., Morris, M.G., Davis, G.B., & Davis, F.D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 27(3), 425-478.

Vidogbéna, F., Adégbidi, A., Tossou, R., Assogba-Komlan, F., Martin, T., Ngouajio, M., & Zander, K.K. (2016). Exploring factors that shape small-scale farmers’ opinions on the adoption of eco-friendly nets for vegetable production. Environment, Development and Sustainability, 18(6), 1749-1770.

Vollaro, M., Raggi, M., & Viaggi, D. (2019). Innovation adoption and farm profitability: What role for research and information sources? Bio-Based and Applied Economics, 8(2), 179-210.

Waheed, R., Chang, D., Sarwar, S., & Chen, W. (2018). Forest, agriculture, renewable energy, and CO2 emission. Journal of Cleaner Production, 172, 4231-4238.

Walder, P., Sinabell, F., Unterlass, F., Niedermayr, A., Fulgeanu, D., Kapfer, M., & Kantelhardt, J. (2019). Exploring the relationship between farmers’ innovativeness and their values and aims. Sustainability (Switzerland), 11(20).

Wang, Z., Liu, J., Li, T., Chao, J., & Gao, X. (2021). Factors Affecting New Agricultural Business Entities’ Adoption of Sustainable Intensification Practices in China: Evidence from the Main Apple-Producing Areas in the Loess Plateau. Agronomy, 11(12).

Wasserman, S., & Faust, K. (1994). Social Network Analysis: Methods and Applications. Cambridge University Press.

Wedajo, D.Y., Belissa, T.K., & Jilito, M.F. (2019). Harnessing indigenous social institutions for technology adoption: ‘Afoosha’ society of Ethiopia. Development Studies Research, 6(1), 152-162.

White, H.D., & Griffith, B.C. (1981). Author cocitation: A literature measure of intellectual structure. Journal of the American Society for Information Science, 32(3), 163-171.

Witt, R., Pemsl, D.E., & Waibel, H. (2008). The farmer field school in senegal: Does training intensity affect diffusion of information? Journal of International Agricultural and Extension Education, 15(2), 47-60.

Wossen, T., Berger, T., & Di Falco, S. (2015). Social capital, risk preference and adoption of improved farm land management practices in Ethiopia. Agricultural Economics (United Kingdom), 46(1), 81-97.

Wossink, G.A.A., De Buck, A.J., Van Niejenhuis, J.H., & Haverkamp, H.C.M. (1997). Farmer perceptions of weed control techniques in sugarbeet. Agricultural Systems, 55(3), 409-423.

Wu, B., & Zhang, L. (2013). Farmer innovation diffusion via network building: A case of winter greenhouse diffusion in China. Agriculture and Human Values, 30(4), 641-651.

Yamoah, F.A., Kaba, J.S., Amankwah-Amoah, J., & Acquaye, A. (2020). Stakeholder Collaboration in Climate-Smart Agricultural Production Innovations: Insights from the Cocoa Industry in Ghana. Environmental Management, 66(4), 600-613.

Yifu, LJ. (1991). American journal of agricultural economics education and innovation adoption in agriculture: Evidence from hybrid rice in china. American Journal of Agricultural Economics, 73(3), 713-723.

Yiridoe, E.K., Atari, D.O.A., Gordon, R., & Smale, S. (2010). Factors influencing participation in the Nova Scotia Environmental Farm Plan Program. Land Use Policy, 27(4), 1097-1106.

Yosua, A., Chang, S., & Deguchi, H. (2019). Opinion leaders’ influence and innovations adoption between risk-averse and risk-taking farmers. International Journal of Agricultural Resources, Governance and Ecology, 15(2), 121-144.

Young, H.P. (2009). Innovation diffusion in heterogeneous populations: Contagion, social influence, and social learning. American Economic Review, 99(5), 1899-1924.

Zulfiqar, F., Datta, A., Tsusaka, T.W., & Yaseen, M. (2021). Micro-level quantification of determinants of eco-innovation adoption: An assessment of sustainable practices for cotton production in Pakistan. Sustainable Production and Consumption, 28, 436-444.