AIoT-Driven Sustainable Performance in Automobile Manufacturing: A Measurement Approach
Description
The study is based on a structured questionnaire survey conducted in the automobile sector of Saudi Arabia and Bahrain, yielding 323 valid responses. These data provided the basis for testing the proposed framework on AIoT adoption and its impact on sustainable performance.
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Steps to reproduce
Steps to Reproduce Survey Design: Develop a structured questionnaire drawing items from the Technology–Organisation–Environment (TOE), Unified Theory of Acceptance and Use of Technology (UTAUT), and Practice-Based View (PBV) frameworks. Sampling and Data Collection: Distribute the questionnaire to professionals working in the automobile sector in Saudi Arabia and Bahrain, ensuring respondents have direct experience with AIoT adoption. Data Preparation: Collect responses (in this study, 323 valid responses), clean the data to remove incomplete or inconsistent entries, and code them for analysis. Measurement: Use validated multi-item scales measured on a five-point Likert scale (1 = strongly disagree to 5 = strongly agree) to capture constructs such as performance expectancy, effort expectancy, relative advantage, and top management support. Data Analysis: Apply Covariance-Based Structural Equation Modeling (CB-SEM) using a software tool such as AMOS. Conduct measurement model testing (reliability, validity) followed by structural model testing to evaluate hypotheses. Interpretation: Assess the direct and indirect relationships between AIoT adoption and sustainable performance, supported by statistical significance and theoretical reasoning..
Institutions
- Siksha O Anusandhan University Institute of Business and Computer Studies
- Symbiosis International University Symbiosis Institute of International Business
- Kingdom University
- Koneru Lakshmaiah Education Foundation