Predicting the antecedents of Digital Technology Adoption among Manufacturing firms: Artificial Neural Network (ANN) approach

Predicting the antecedents of Digital Technology Adoption among Manufacturing firms: Artificial Neural Network (ANN) approach

Authors

  • AJayandaran Arumugam Lincoln University - Malaysia

Keywords:

Digital transformation, digital technology adoption, SMEs, manufacturing

Abstract

The concept of digital transformation offers a unique platform to gain competitive advantages both in the manufacturing and service sectors. Although the digitalization concept has gained popularity, there is a lack of studies on the antecedents of digital technology adoption. Therefore, the purpose of this study is to examine the antecedents of digital technology adoption (DTA) in manufacturing SMEs in Malaysia. To achieve the research aims, an Artificial Neural Network (ANN) technique has been adopted to examine and prioritize the antecedents for DTA. The outcomes of the ANN approach indicate that effective communication is the most important antecedent of DTA, followed by digital literacy, perceived ease of use, perceived cost effectiveness, and perceived usefulness. The examination of antecedents of DTA can serve as a starting point for further research into the idea of digital technology adoption in emerging economies.

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Published

2023-08-21

How to Cite

Predicting the antecedents of Digital Technology Adoption among Manufacturing firms: Artificial Neural Network (ANN) approach: Predicting the antecedents of Digital Technology Adoption among Manufacturing firms: Artificial Neural Network (ANN) approach. (2023). Business and Technology , 6(20236), 1-4. https://ijmtrs.com/index.php/MT/article/view/6