A CAUSAL RELATIONSHIP MODEL OF FACTORS AFFECTED MARKET SHARE IN MANUFACTURING INDUSTRY IN THAILAND
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Abstract
This research aims to: 1) study a causal relationship model of factors affected market share in the manufacturing industry in Thailand, 2) examine the causal relationship patterns of factors developed with empirical data. An example used in the study is the manufacturing industry in Thailand. A total of 240 companies. The respondents were executives of the company, with 1 company able to answer the questionnaire by 1 person using the simple random sampling method. The research instruments consisted of questionnaire with the total reliability at 0.96. The statistical analysis was performed using descriptive statistics: frequency, and percentage and inferential statistics: Confirmatory Factor Analysis, and Path Analysis.
The results showed that: 1) the causal relationship model of factors affected market share in the manufacturing industry in Thailand, are structurally relevant, 2) the causal relationship of market share was consistent with empirical data. The market share of the manufacturing industry in Thailand is influenced by ERP implementation, and ERP implementation is influenced by the intention to use that includes perceived usefulness and perceived ease of use statistically significant at the 0.001 level.
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บทความทุกเรื่องได้รับการตรวจความถูกต้องทางวิชาการโดยผู้ทรงคุณวุฒิ ทรรศนะและข้อคิดเห็นในบทความวารสารบัณฑิตศึกษา มหาวิทยาลัยราชภัฏวไลยอลงกรณ์ ในพระบรมราชูปถัมภ์ มิใช่เป็นทรรศนะและความคิดของผู้จัดทำจึงมิใช่ความรับผิดชอบของบัณฑิตวิทยาลัย มหาวิทยาลัยราชภัฏวไลยอลงกรณ์ ในพระบรมราชูปถัมภ์ กองบรรณาธิการไม่สงวนสิทธิ์การคัดลอก แต่ให้อ้างอิงแหล่งที่มา
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