Towards Digital Resilience: Formulating strategies for farmers in a digitally disruptive environment

Authors

  • Norhayati Hussin Universiti Teknologi MARA (UiTM), Puncak Perdana Campus, 40150 Shah Alam, Selangor, Malaysia
  • Nurul Syfa’ Mohd Tokiran Universiti Teknologi MARA (UiTM), Puncak Perdana Campus, 40150 Shah Alam, Selangor, Malaysia
  • Mohd Sazili Shahibi Universiti Teknologi MARA (UiTM), Puncak Perdana Campus, 40150 Shah Alam, Selangor, Malaysia
  • Zaharudin Ibrahim Universiti Teknologi MARA (UiTM), Puncak Perdana Campus, 40150 Shah Alam, Selangor, Malaysia
  • Muhammad Zaffri Mohd Zazmi Universiti Teknologi MARA (UiTM), Puncak Perdana Campus, 40150 Shah Alam, Selangor, Malaysia
  • Amer Shakir Zainol Universiti Teknologi MARA (UiTM),40450 Shah Alam, Selangor, Malaysia

DOI:

https://doi.org/10.21834/e-bpj.v8iSI12.5033

Keywords:

Information Science, Digital Culture, Agriculture, Digital Disruption, Farmer Community

Abstract

This study conceptualizes a digital culture strategy to fortify the resilience and competitiveness of middle-skilled farmers in Selangor, Malaysia. Utilizing a mixed-method approach, it synthesizes the Technology Acceptance Model, Theory of Planned Behaviour, and Hofstede's cultural dimensions into a rural digital framework. The research underscores a positive correlation between strategic digital culture adoption and factors like digital literacy and farming productivity, moderated by cultural dimensions. It offers actionable recommendations for policy formulation and resource allocation, enriching existing literature on technology adoption in traditional sectors.

References

Adila Ismail, Habee Bullah Affandy, And Mohammad Rezal Hamzah (2018). Factors Influencing the Use of ICT in Rural School Libraries. MATEC Web of Conferences 150, 06045 (2018). Retrieved March 2020, from: https://www.matec-conferences.org/articles/matecconf/pdf/2018/09/matecconf_mucet2018_06045.pdf DOI: https://doi.org/10.1051/matecconf/201815006045

Agbehadji, I. E., Awuzie, B. O., & Ngowi, A. B. (2021). COVID-19 pandemic waves: 4IR technology utilisation in multi-sector economy. Sustainability, 13(18), 10168. DOI: https://doi.org/10.3390/su131810168

AbuShanab, E. and Pearson, J.M. (2007). Internet banking in Jordan: The unified theory of acceptance and use of technology (UTAU T) perspective. Journal of Systems and Information Technology, 9(1): 78-97. DOI: https://doi.org/10.1108/13287260710817700

Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50(2), 179–211. doi:10.1016/0749-5978(91)90020-T DOI: https://doi.org/10.1016/0749-5978(91)90020-T

Anem, M. (2013). Petani Malaysia. Retrieved 13 February 2021, from: http://skeletonacet.blogspot.com/2011/02/petani-malaysia.html

Anitei, M., Veres, C., & Pisla, A. (2021, January). Research on Challenges and Prospects of Digital Agriculture. In Proceedings (Vol. 63, No. 1, p. 67). MDPI. DOI: https://doi.org/10.3390/proceedings2020063067

Ashvini, G., Salamzadeh, Y., & Abdul Rahim, N. F. (2023). Which E-Leadership Skills Are Needed to Deploy Digital Strategies? A Study on Multinational Companies in Northern Malaysia. In Multidimensional and Strategic Outlook in Digital Business Transformation: Human Resource and Management Recommendations for Performance Improvement (pp. 217-230). Cham: Springer International Publishing. DOI: https://doi.org/10.1007/978-3-031-23432-3_18

Athirah, R. N., Norasma, C. Y. N., & Ismail, M. R. (2020). Development of an android application for smart farming in crop management. In IOP Conference Series: Earth and Environmental Science, 540(1), 012074 DOI: https://doi.org/10.1088/1755-1315/540/1/012074

Baskaran-Makanju, S., Hoo, S., Mitchell, C., Larson, J., Unnikrishnan, Vasudevan, S., Zrikem, Y. (2021). The Digital Agriculture Revolution Will Take More Than Innovation. BCG.com, Retrieved July 2022, from: https://www.bcg.com/publications/2021/digital-agriculture-and-development

Bertschi, M., 2018. Einsatzm ̈oglichkeiten von Smart Farming in der CH Landwirtschaft. Presented at the Nationale Ackerbautagung (Murten).

Borkar, S. (2020). Digitisation can help agricultural sector reap better gains. New Straits Times. Retrieved from: https://www.nst.com.my/opinion/letters/2020/01/555446/digitisation-can-help-agricultural-sector-reap-better-gains

Carlton, N. R. (2014). Digital culture and art therapy. The Arts in Psychotherapy, 41(1), 41-45. DOI: https://doi.org/10.1016/j.aip.2013.11.006

Chen, Y. (2020). Correlation between Self-Efficacy and English Performance. International Journal of Emerging Technologies in Learning (iJET), 15(8), 223-234. DOI: https://doi.org/10.3991/ijet.v15i08.13697

Cheng, T.C.E., Lam, D.Y.C. and Yeung, A.C.L. (2006). Adoption of internet banking: An empirical study in Hong Kong. Decision Support Systems, 42(3): 1558-1572 DOI: https://doi.org/10.1016/j.dss.2006.01.002

Christensen, CM (1997). The Innovator's Dilemma: When New Technologies Cause Great Firms to Fail. Harvard Business Press, Boston.MA

Christensen, C., & Raynor, M. (2013). The innovator's solution: Creating and sustaining successful growth. Harvard Business Review Press.

Dah, J., & Hussin, N. A. (2021). Conceptual framework of a streamlined extended technology acceptance model for mobile application adoption. International Journal of Social Science Research, 9(2), 1-29. DOI: https://doi.org/10.5296/ijssr.v9i2.18649

Davis, F. D. (1989), "Perceived usefulness, perceived ease of use, and user acceptance of information technology", MIS Quarterly, 13 (3): 319–340, doi:10.2307/249008, JSTOR 249008 DOI: https://doi.org/10.2307/249008

Deuze, M. (2006). Participation, remediation, bricolage: Considering principal components of a digital culture. The information society, 22(2), 63-75. DOI: https://doi.org/10.1080/01972240600567170

Dongski (2021). Digital agriculture: enough to feed a rapidly growing world? EY Agribusiness Leader. Retrieved August 2022, from: https://www.ey.com/en_my/digital/digital-agriculture-data-solutions

Erasmus, Etienne, Rothmann, Sebastiaan, & van Eeden, Chrizanne. (2015). A structural model of technology acceptance. SA Journal of Industrial Psychology, 41(1), 01-12. https://dx.doi.org/10.4102/sajip.v41i1.1222 DOI: https://doi.org/10.4102/sajip.v41i1.1222

Firos, M., Ismail, F. A., & Goh, S. (2020). The Malaysian Farmers and Agricultural Entrepreneurship Development. Journal of Global Business and Social Entrepreneurship (GBSE), 6(19).

Gudek, B. (2019). Computer Self-Efficacy Perceptions of Music Teacher Candidates and Their Attitudes towards Digital Technology. European Journal of Educational Research, 8(3), 683-696. DOI: https://doi.org/10.12973/eu-jer.8.3.683

Guy, J. S. (2019). Theory Beyond Structure and Agency: Introducing the Metric/Nonmetric Distinction. Springer Nature. DOI: https://doi.org/10.1007/978-3-030-18983-9

Hesse-Biber, S. N., & Johnson, R. B. (Eds.). (2015). The Oxford handbook of multimethod and mixed methods research inquiry. Oxford University Press. DOI: https://doi.org/10.1093/oxfordhb/9780199933624.001.0001

Hofstede, G. (2001). Culture's consequences: Comparing values, behaviors, institutions and organizations across nations. Sage publications.

Hofstede, G. (2011). Dimensionalizing cultures: The Hofstede model in context. Online readings in psychology and culture, 2(1), 230 7-0919. DOI: https://doi.org/10.9707/2307-0919.1014

Hubert, M., Blut, M., Brock, C., Zhang, R. W., Koch, V., & Riedl, R. (2019). The influence of acceptance and adoption drivers on sm art home usage. European Journal of Marketing. DOI: https://doi.org/10.1037/t89133-000

Ivypanda (2020). Culture in Human Behavior. Retrieved March 2021, from: https://ivypanda.com/essays/culture-in-human-behavior/

John, O. P., & Srivastava, S. (1999). The big five trait taxonomy: History, measurement, and theoretical perspectives. In L. A.

Johar, M. G. M., & Awalluddin, J. A. A. (2011). The role of the technology acceptance model in explaining effect on the e-commerce application systems. International Journal of Managing Information Technology, 3(3), 1-14. DOI: https://doi.org/10.5121/ijmit.2011.3301

Khanna, A., & Kaur, S. (2023). An empirical analysis on adoption of precision agricultural techniques among farmers of Punjab for efficient land administration. Land Use Policy, 126, 106533. DOI: https://doi.org/10.1016/j.landusepol.2022.106533

Krstić, I. I., Ilić, A., & Avramović, D. (2018). The three dimensions of sustainable development: environment, economy and society.

Landmann, D., Lagerkvist, C. J., & Otter, V. (2020). Determinants of Small-Scale Farmers’ Intention to Use Smartphones for Generating Agricultural Knowledge in Developing Countries: Evidence from Rural India. The European Journal of Development Research, 1-20. DOI: https://doi.org/10.1057/s41287-020-00284-x

Lekhanya, L. M. (2013). Cultural influence on the diffusion and adoption of social media technologies by entrepreneurs in rural South Africa. The International Business & Economics Research Journal. DOI: https://doi.org/10.19030/iber.v12i12.8250

Man, N. K. N., Ismail, N. E., Zakaria, N. A., & Chang, C. K. (2023). Agriculture irrigation development in Kedah, Malaysia. Water Projects and Technologies in Asia: Historical Perspectives, 303. DOI: https://doi.org/10.1201/9781003222736-30

Maršíková, K., & Mazurchenko, A. (2022). Digital Transformation and Skill Acquisition: Enablers and Barriers for Today's Workforce. In Handbook of Research on Smart Management for Digital Transformation (pp. 113-138). IGI Global. DOI: https://doi.org/10.4018/978-1-7998-9008-9.ch006

Medhi, S., Singha, A. K., Singh, R., & Singh, R. J. (2020). Socio-Economic, Psychological Profile and Constraints Faced by the KV K Adopted Farmers for Improved Rice Cultivation in West Garo Hills District. Economic Affairs, 65(3), 379-388. DOI: https://doi.org/10.46852/0424-2513.3.2020.9

Mishra, D., Muduli, K., Raut, R., Narkhede, B. E., Shee, H., & Jana, S. K. (2023). Challenges facing artificial intelligence adoption during COVID-19 pandemic: an investigation into the agriculture and agri-food supply chain in India. Sustainability, 15(8), 6377. DOI: https://doi.org/10.3390/su15086377

Mohd Suib, N. A. B., Salleh, N. H. M., Shukor, M. S., Chamhuri, N., Shahimi, S., Salleh, K. M., & Hashim, K. (2023). The Influence of Good Agricultural Practice (GAP) on the Productivity and Well-Being of Malaysian Sustainable Palm Oil (MSPO)-Certified Independent Smallholders in Malaysia. Agriculture, 13(5), 990. DOI: https://doi.org/10.3390/agriculture13050990

Nikou, S. A., & Economides, A. A. (2019). Factors that influence behavioral intention to use mobile‐based assessment: A STEM tea chers’ perspective. British Journal of Educational Technology, 50(2), 587-600. DOI: https://doi.org/10.1111/bjet.12609

Phua, P. L., Wong, S. L. & Rosini Abu (2012). Factors influencing the behavioural intention to use the internet as a teaching-learning tool in home economics. Procedia - Social and Behavioral Sciences 59, pp 180 – 187. DOI: https://doi.org/10.1016/j.sbspro.2012.09.263

Piccion, V. (2010). Do the right thing: innovation diffusion and risk dimensions in the passage from conventional to organic agriculture, Journal of central European agriculture, 11(1). DOI: https://doi.org/10.5513/JCEA01/11.1.831

Protopop, I., & Shanoyan, A. (2016). Big data and smallholder farmers: Big data applications in the agri-food supply chain in developing countries. International Food and Agribusiness Management Review, 19(1030-2016-83148), 173-190.

Purcell, K., Rainie, L., Mitchell, A., Rosenstiel, T., & Olmstead, K. (2010). Understanding the participatory news consumer. Pew Internet and American Life Project, 1, 19-21.

Samsuddin, S. F., Omar, S. Z., Samah, B. A., & Bolong, J. (2016). Potential impingement factors of Information and Communication Technology usage at rural libraries in Malaysia. Mediterranean Journal of Social Sciences, 7(2), 360. DOI: https://doi.org/10.5901/mjss.2016.v7n2p360

Sekaran, U. (2003). Research Method for business: A skill-building approach. United States of America: John Wiley & Sons, Inc.

Siti Hajar Halili, Hamidah Sulaiman & Rafiza Abdul Razak (2017). Information and Communications Technology Acceptance among Malaysian Adolescents in Urban Poverty. TOJET: The Turkish Online Journal of Educational Technology – January 2017, 16 (1).

Siyam, N. (2019). Factors impacting special education teachers’ acceptance and actual use of technology. Education and Information Technologies, 24(3), 2035-2057. DOI: https://doi.org/10.1007/s10639-018-09859-y

Smidt, H. J., & Jokonya, O. (2022). Factors affecting digital technology adoption by small-scale farmers in agriculture value chains (AVCs) in South Africa. Information Technology for Development, 1-27. DOI: https://doi.org/10.1080/02681102.2021.1975256

Suleman, D., Zuniarti, I. & Sabil (2019). Consumer Decisions toward Fashion Product Shopping in Indonesia: The effects of Attitude, Perception of Ease of Use, Usefulness, and Trust. Management Dynamics in the Knowledge Economy, 7(2), 133-146. DOI: https://doi.org/10.25019/MDKE/7.2.01

Tan, G. W. H., Chong, C. K., Ooi, K. B., & Chong, A. Y. L. (2010). The adoption of online banking in Malaysia: an empirical analysis. International Journal of Business and Management Science, 3(2), 169.

Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 425-478. DOI: https://doi.org/10.2307/30036540

Watts, B. 201.

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Published

2023-08-31

How to Cite

Hussin , N., Mohd Tokiran , N. S., Shahibi , M. S., Ibrahim , Z., Mohd Zazmi, M. Z., & Zainol, A. S. (2023). Towards Digital Resilience: Formulating strategies for farmers in a digitally disruptive environment. Environment-Behaviour Proceedings Journal, 8(SI12), 137–143. https://doi.org/10.21834/e-bpj.v8iSI12.5033

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