Pembangunan dan Penilaian Model Hasrat Mengguna Aplikasi Mudah Alih Penasihatan Penyakit Tanaman Lada Hitam

Translated title of the contribution: The development and evaluation on model of intention to use black pepper crops disease advisory mobile application

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

Studies of intention to use mobile applications in the agricultural domain remain untapped. The use of m-Agriculture such as mobile application would provide benefits to farmers upon them accepting and using the application. Therefore, this study aims at developed a model of intention to use disease advisory mobile application for black pepper crops (m-Naslada), validated the model of intention to use as well as developed m-Naslada prototype based on several factors from model of intention to use. Factors considered in the research model were Mobility, Simplicity, Subjective Norm, Compatibility, Self Innovation, Self Efficacy, Quality of Information, Interactive, Perceived Usefulness, Perceived Ease of Use and BI. A real survey was conducted by administering the instrument to 200 black pepper farmers in Sarawak. The data were analyzed using Partial Least Squares-Structural Equation Modeling (PLS-SEM) approach, post hoc statistical power analysis test and Global Goodness-fitness model (GoF) test. Results found that factors of Mobility, Simplicity, Subjective Norm, Compatibility, Self Innovation, Self Efficacy, Perceived Usefulness and Perceived Ease of Use influence Behavioral Intention. Based on post hoc statistical power analysis, this study delivered a real impact on the population of black pepper farmers. The results obtained from GoF test found that the model of intention to use can be used in this study. Overall, the model and instrument can be an indicator to measure BI on mobile applications for agricultural domain.

Original languageMalay
JournalJurnal Pengurusan
Volume52
Publication statusPublished - 1 Jun 2018

Fingerprint

Crops
Mobile applications
Intention to use
Evaluation
Farmers
Factors
Fitness
Perceived ease of use
Simplicity
Subjective norm
Self-efficacy
Statistical power
Innovation
Compatibility
Perceived usefulness
Structural equation modeling
Quality of information
Agriculture
Behavioral intention
Partial least squares

ASJC Scopus subject areas

  • Business and International Management
  • Accounting
  • Business, Management and Accounting (miscellaneous)

Cite this

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title = "Pembangunan dan Penilaian Model Hasrat Mengguna Aplikasi Mudah Alih Penasihatan Penyakit Tanaman Lada Hitam",
abstract = "Studies of intention to use mobile applications in the agricultural domain remain untapped. The use of m-Agriculture such as mobile application would provide benefits to farmers upon them accepting and using the application. Therefore, this study aims at developed a model of intention to use disease advisory mobile application for black pepper crops (m-Naslada), validated the model of intention to use as well as developed m-Naslada prototype based on several factors from model of intention to use. Factors considered in the research model were Mobility, Simplicity, Subjective Norm, Compatibility, Self Innovation, Self Efficacy, Quality of Information, Interactive, Perceived Usefulness, Perceived Ease of Use and BI. A real survey was conducted by administering the instrument to 200 black pepper farmers in Sarawak. The data were analyzed using Partial Least Squares-Structural Equation Modeling (PLS-SEM) approach, post hoc statistical power analysis test and Global Goodness-fitness model (GoF) test. Results found that factors of Mobility, Simplicity, Subjective Norm, Compatibility, Self Innovation, Self Efficacy, Perceived Usefulness and Perceived Ease of Use influence Behavioral Intention. Based on post hoc statistical power analysis, this study delivered a real impact on the population of black pepper farmers. The results obtained from GoF test found that the model of intention to use can be used in this study. Overall, the model and instrument can be an indicator to measure BI on mobile applications for agricultural domain.",
keywords = "Agriculture, Intention to use, Mobile application, Technology acceptance model",
author = "Shafinah Kamarudin and Ribka Alan and {Sahari @ Ashaari}, Noraidah and {Abdul Wahab}, {Amelia Natasya} and Riza Sulaiman",
year = "2018",
month = "6",
day = "1",
language = "Malay",
volume = "52",
journal = "Jurnal Pengurusan",
issn = "0127-2713",
publisher = "Penerbit Universiti Kebangsaan Malaysia",

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T1 - Pembangunan dan Penilaian Model Hasrat Mengguna Aplikasi Mudah Alih Penasihatan Penyakit Tanaman Lada Hitam

AU - Kamarudin, Shafinah

AU - Alan, Ribka

AU - Sahari @ Ashaari, Noraidah

AU - Abdul Wahab, Amelia Natasya

AU - Sulaiman, Riza

PY - 2018/6/1

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N2 - Studies of intention to use mobile applications in the agricultural domain remain untapped. The use of m-Agriculture such as mobile application would provide benefits to farmers upon them accepting and using the application. Therefore, this study aims at developed a model of intention to use disease advisory mobile application for black pepper crops (m-Naslada), validated the model of intention to use as well as developed m-Naslada prototype based on several factors from model of intention to use. Factors considered in the research model were Mobility, Simplicity, Subjective Norm, Compatibility, Self Innovation, Self Efficacy, Quality of Information, Interactive, Perceived Usefulness, Perceived Ease of Use and BI. A real survey was conducted by administering the instrument to 200 black pepper farmers in Sarawak. The data were analyzed using Partial Least Squares-Structural Equation Modeling (PLS-SEM) approach, post hoc statistical power analysis test and Global Goodness-fitness model (GoF) test. Results found that factors of Mobility, Simplicity, Subjective Norm, Compatibility, Self Innovation, Self Efficacy, Perceived Usefulness and Perceived Ease of Use influence Behavioral Intention. Based on post hoc statistical power analysis, this study delivered a real impact on the population of black pepper farmers. The results obtained from GoF test found that the model of intention to use can be used in this study. Overall, the model and instrument can be an indicator to measure BI on mobile applications for agricultural domain.

AB - Studies of intention to use mobile applications in the agricultural domain remain untapped. The use of m-Agriculture such as mobile application would provide benefits to farmers upon them accepting and using the application. Therefore, this study aims at developed a model of intention to use disease advisory mobile application for black pepper crops (m-Naslada), validated the model of intention to use as well as developed m-Naslada prototype based on several factors from model of intention to use. Factors considered in the research model were Mobility, Simplicity, Subjective Norm, Compatibility, Self Innovation, Self Efficacy, Quality of Information, Interactive, Perceived Usefulness, Perceived Ease of Use and BI. A real survey was conducted by administering the instrument to 200 black pepper farmers in Sarawak. The data were analyzed using Partial Least Squares-Structural Equation Modeling (PLS-SEM) approach, post hoc statistical power analysis test and Global Goodness-fitness model (GoF) test. Results found that factors of Mobility, Simplicity, Subjective Norm, Compatibility, Self Innovation, Self Efficacy, Perceived Usefulness and Perceived Ease of Use influence Behavioral Intention. Based on post hoc statistical power analysis, this study delivered a real impact on the population of black pepper farmers. The results obtained from GoF test found that the model of intention to use can be used in this study. Overall, the model and instrument can be an indicator to measure BI on mobile applications for agricultural domain.

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