The Influence of Intention to use Medians Potato Varieties on the Result of Technological Innovation Development with Technology Acceptance Models

Authors

  • Muhammad .H. Rasyidha, Mukhamad Najib, Ujang Sumarwan, Fakultas Ekonomi dan Manajemen Institut Pertanian Bogor

DOI:

https://doi.org/10.24912/jm.v24i1.617
Keywords: Intention to Use, TAM Development, SEM – PLS.

Abstract

The purpose of this study was to analyze the intention of farmers to use the potato varieties of medians with the development of technology acceptance models (TAM) that combine innovation diffusion theory, subjective norms, self-efficacy, and facilitate conditions to determine the intentions of farmers to use. The method used was a survey with face-to-face interviews with 120 potato farmers. Sampling was taken based on non-probability sampling using convenience sampling techniques. Analysis of the data used is Structural Equation Modeling (SEM) with the Partial Least Square (PLS) approach. The results show that variables triability, perceived usefulness, subjective norms, and compatibility directly have a positive effect on the intention to use potato varieties medians. While the variables that can be observed, perceived ease of use, perceived self-efficacy, and facilitating conditions do not have a positive effect on the intention to use.


Author Biography

Muhammad .H. Rasyidha, Mukhamad Najib, Ujang Sumarwan,, Fakultas Ekonomi dan Manajemen Institut Pertanian Bogor

Fakultas Ekonomi dan Manajemen Institut Pertanian Bogor

References

[BPS]. Badan Pusat Statistik Kabupaten Garut. (2017). Garut Dalam Angka. Kabupaten Garut. 191-204.

Ademola, A. A., Walter, S.A., and Bamidele, O.S. (2014). Potential Benefits Of Genetic Modification (GM) Technology For Food Security And Health Improvement In West Africa: Assessing the perception of farmers in Ghana and Nigeria. African Journal of Biotechnology 13 (2): 245-256.

Ajili, A., Salehi, S., Moghaddam R.K., Hayati, D., and Karbalaee, F. (2012). Estimating The Model Of Investigating Attitude And Intention In The Usage Of Variable Rate Irrigation Technology. American Journal of Experimental Agriculture 2 (3): 542-556.

Ajzen, I. (1991). The Theory Of Planned Behavior. Organizational Behavior and Human Decision Process 50: 179-201

Bandura, A. (1977). Self-Efficacy: Toward A Unifying Theory Of Behavioral Change. Psychol. Rev. 84. 191-215.

Buletin Konsumsi Pangan. (2017). [internet]. [diakses 26 Oktober 2018]. Tersedia pada http://epublikasi.setjen.pertanian.go.id/epublikasi/buletin/konsumsi/2017/.

Buletin_Konsumsi_Pangan_Semester_2_2017/files/assets/basic-html/page41.html. conceptual model of utilization. MIS Quart 15: 125-143.

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

doi.org/10.1016/j.cropro.2017.01.014.

Egge, M., Pichai, T., and Rangsipaht, S. (2010). Factors Influencing The Adoption Of Improved Sorghum Varieties In Awbere District Of Somali Regional State. Ethiopia. East African Journal of Sciences 4 (1): 41-47.

Everett, M., and Rogers. (2003). Elements of diffusion. Diffusion of innovations, 5(2003): 1–38.

Faizaty, E.F., Rifin, A., Netti, T. (2016). Proses Pengambilan Keputusan Adopsi Inovasi: Teknologi Budidaya Kedelai Jenuh Air (Kasus: Labuhan Ratu Enam, Lampung Timur). Jurnal Agraris 2(2): 97-106.

Fishbein, M., and Ajzen, I. (2010). Predicting and changing behavior: The reasoned action approach. New York, US: Psychology Press.

Gaddam. (2008). Identifying The Relationship Between Behavioral Motives and Entrepreneurial Intention: An Empirical Study Based Participations of Business Management Students. The Icfaian Journal of Management Research 7: 35-05.

Ghifarini, F.A., Sumarwan, U., Najib, M. (2018). Application Of Theory Of Planned Behavior In Shrimp Consumer Behavior Analysis. Independent Journal of Management and Production. 9 (3): 984-1001.

Ghozali, I. (2014). Structural equation modeling: Metode alternatif dengan Partial Least Square(PLS). Semarang (ID): Badan Penerbit Universitas Diponegoro.

Hadimartono, S., Sumarwan, U., and Sanim, B. (2017). Analysis Of Re-Purchase Intention By Hybrid Rice Seed Farmers. Journal of Consumer Sciences 02 (01): 1-12.

Hair, F.J., Sarstedt, M., Ringle, M.C., and Mena, J.A. (2011). An Assessment Of The Use Of Partial Least Squares Structural Equation Modelling In Marketing Research. Journal of Academy of Marketing Science 40 (1): 414-433.

Hasan, R., Lowe, B, and Petrovici, D. (2018). Consumer Adoption Of Pro-Poor Service Innovations In Subsistence Marketplaces. Journal of Business Research, Pages 1-15.

Hernandez, J. M. C., and Mazzon, J. A. (2007). Adoption of internet banking: Proposition and implementation of an integrated methodology approach. The International Journal of Bank Marketing. 25: 72–88.

Hoque, R.M., Karim, R.M., and Amin, B.M. (2015). Factors Affecting The Adoption Of Mhealth Services Among Young Citizen: A Structural Equation Modeling (SEM) Approach. Asian Business Review. Volume 5 Issue 11.

Hsbollah, H. M, Idris, K. M. (2009). E-learning adoption: The role of relative advantages, trialability, and academic specialization. Campus-Wide Information Systems 26: 54–70.

Jogiyanto, H., Abdillah, W. (2015). Partial Least Square (PLS) – Alternatif Structural Equation Modeling (SEM) Dalam Penelitian Bisnis. Yogyakarta (ID): ANDI.

Kotler, P., Keller, K.L. (2009). Manajemen Pemasaran. Ed ke-13. Jilid 2. Jakarta (ID): Erlangga.

Latan, H., dan Ghozali, I. (2015). Partial Least Squares Konsep, Teknik dan Aplikasi Menggunakan Program SmartPLS 3.0. Semarang (ID): Badan Penerbit-Undip.

Lee, A.Y.K., and Mok, W.K. (2013). A case study on the application of the theory of planned behavior: Predicting physical activity of adolescents in Hongkong. Journal Community Medical Health Education 3(5): 231.

Lee, Y.H., Hsieh, C.Y., and Hsu, N.C. (2011). Adding innovation diffusion theory to the technology acceptance model: Supporting employees' intention to use e-learning systems. Educational Technology and Society 14 (4): 124-137.

Legris, Ingham, P., and Collerette, J. (2003). Why do people use information technology? A critical review of the technology acceptance model. Inf. Manag. 40.

Marakas, G.M., Johnson, R.D., Clay, P.F. 2007. The evolving nature of the computer self-efficacy constructs: An empirical investigation of measurement construction, validity, reliability, and stability over time. Journal Association Information Systems 8: 16-46.

Nurjaman, Sumarwan, U., dan Kirbrandoko. (2015). Perilaku Dunia Usaha dalam Melakukan Adopsi Inovasi Pertanian. Jurnal Bisnis dan Manajemen 16 (01): 29-37.

Pusdima, R.P. Siswanto, I.S, and Wiludjeng, R. (2018). Technology Adoption Level Of True Shallot Seed In Klambu Sub-District, Grobogan Regency. AGRARIS: Journal of Agribusiness and Rural Development Research 4 (1): 9-17.

Saade R., Bahli B. (2005). The impact of cognitive absorption on perceived usefulness and perceived ease of use in on-line learning: an extension of the technology acceptance model. Journal Information and Management 42 (02): 317-327.

Shafinah, K., Ribka. A., Noraidah S., Amelia, N.A.W., and Riza S. (2018). Pengembangan dan Evaluasi Model Keinginan Menggunakan Aplikasi Mobile Pencegahan Penyakit Tanaman Lada Hitam. Jurnal Manajemen 17 (52): 207-219.

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

Shiau, W.L., and Chau P.Y.K. (2015). Understanding behavioral intention to use a cloud computing classroom: Multiple model-comparison approaches. Information and Management (2015), http://dx.doi.org/10.1016/j.im.2015.10.004.

Suryani, L., Putra, S.T.E., and Dianawati, M. (2017). The influence of aggregate hydroponic planting media composition to G0 seeds production of three potato cultivars (Solanum Tuberosum L.). Journal of Vegetalika 6 (2): 1-13.

Syakir, M. (2015). Pemantapan Inovasi dan Diseminasi Teknologi dalam Memberdayakan Petani. Jakarta (ID): Badan Penelitian dan Pengembangan Pertanian.

Teo, T. (2011). Factors Influencing Teachers' Intention Intention To Use Technology: Model Development and Test. Computer and Education 57: 2432–2440.

Theresia, V., Fariyanti, A., and Tinaprilla, N. (2016). Pengambilan Keputusan Petani Terhadap Penggunaan Benih Bawang Merah Lokal dan Impor di Kabupaten Cirebon, Jawa Barat. AGRARIS: Journal of Agribusiness and Rural Development Research 2 (1): 50–60. DOI.org/10.18196/agr.2125.

Thomson, R.L., Higgins, C.S., Howell, J.M. 1991. Personal computing: Toward a

Tsai, T.H., Hong, T.J., Yeh. P.S., and Wu. J.T. (2014). Consumers’ acceptance model for Taiwan agriculture and food traceability system. International Journal of Contemporary and Applied Studies of Man. 17(3): 845-856.

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

Wu, H., Wang, C. (2005). What drives mobile commerce? An empirical evaluation of the revised technology acceptance model. Information and Management 42: 719-729. DOI :10.1016/j.im.2004.07.001.

Yi, Y.M., Jackson, D.J., Park, S.J., Probst, C.J. 2006. Understanding information technology acceptance by individual professionals: Toward an integrative view. Information and Management 43:350-363. DOI:10.1016/j.im.2005.08.006.

Zahidul, Md., Low, C.K.P., and Hasan, I. (2013). Intention to use advanced mobile phone services (AMPS). Management Decision 51 (04): 824-838.

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Published

2020-02-15

How to Cite

Ujang Sumarwan, M. .H. R. M. N. (2020). The Influence of Intention to use Medians Potato Varieties on the Result of Technological Innovation Development with Technology Acceptance Models. Jurnal Manajemen, 24(1), 38–58. https://doi.org/10.24912/jm.v24i1.617