Article: Examining the Behavioral Intention of Philippine MSMEs Toward Business Intelligence Adoption Journal: Journal of Business and Management (JBM) 2022 Vol.28 No.1 pp.67 - 99 Abstract: Purpose - This work focuses on understanding the factors affecting the behavioral intention of micro, small, and medium enterprises (MSMEs) in the Philippines towards business intelligence and analytics (BI&A) systems adoption. Method - The study applied Partial Least Squares Structural Equation Modeling (PLS-SEM) to examine the data collected from 202 MSMEs in the manufacturing, wholesale and retail, and services sectors. Findings - The research findings revealed that perceived relative advantage, complexity, top management support, competitive pressure, and innovativeness are determinants of behavioral intention to adopt business intelligence. Of these factors, personal innovativeness and relative advantages were identified as the strongest determinants of MSMEs' adoption intention. Limitations - The study has limited generalizability considering that the data used are only from the three largest MSME industry sectors. Implications - The study contributes to research and practice and enables the adoption of BI&A in small businesses. The findings also provide valuable insights into developing government strategies and policies to build technological capabilities and understanding the importance of innovation advancement among MSMEs. Originality - This empirical study is based on the combined concepts of the Technology-Environment-Organization framework and personal innovativeness in the domain of information technology to understand the underlying factors affecting the behavioral intention to adopt advanced technology in the context of small businesses and non-adopters. Inderscience Publishers - linking academia, business and industry through research

Title: Examining the Behavioral Intention of Philippine MSMEs Toward Business Intelligence Adoption

Authors: Ronel Simon; Merlin Teodosia Suarez

Addresses: Author address listing can be found in the "About the Authors" section at the end of the article.

Abstract: Purpose - This work focuses on understanding the factors affecting the behavioral intention of micro, small, and medium enterprises (MSMEs) in the Philippines towards business intelligence and analytics (BI&A) systems adoption. Method - The study applied Partial Least Squares Structural Equation Modeling (PLS-SEM) to examine the data collected from 202 MSMEs in the manufacturing, wholesale and retail, and services sectors. Findings - The research findings revealed that perceived relative advantage, complexity, top management support, competitive pressure, and innovativeness are determinants of behavioral intention to adopt business intelligence. Of these factors, personal innovativeness and relative advantages were identified as the strongest determinants of MSMEs' adoption intention. Limitations - The study has limited generalizability considering that the data used are only from the three largest MSME industry sectors. Implications - The study contributes to research and practice and enables the adoption of BI&A in small businesses. The findings also provide valuable insights into developing government strategies and policies to build technological capabilities and understanding the importance of innovation advancement among MSMEs. Originality - This empirical study is based on the combined concepts of the Technology-Environment-Organization framework and personal innovativeness in the domain of information technology to understand the underlying factors affecting the behavioral intention to adopt advanced technology in the context of small businesses and non-adopters.

Keywords: SMEs; PLS-SEM; business intelligence; Technology-Organization-Environment framework; personal innovativeness in the domain of IT.

DOI: 10.1504/JBM.2022.141295

Journal of Business and Management, 2022 Vol.28 No.1, pp.67 - 99

Published online: 05 Sep 2024 *

Title: Examining the Behavioral Intention of Philippine MSMEs Toward Business Intelligence Adoption

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