Acceptability Patterns of The Organizational Administration of the TOT Public Company Limited to Accommodate The Emerging Digital Economy

Abstract

The objectives of this research were: (1) To analyze the components of the acceptability patterns of the organizational administration of TOT Public Company Limited; and (2) To determine the causal relationships of the components influencing the acceptability patterns of the organizational administration of the TOT Public Company Limited to accommodate the emerging digital economy. The research was mixed methodology (quantitative and qualitative research). With respect to the quantitative research, the sample comprised 400 private employees working for TOT Public Company Limited. The research instrument was a set of self-administered questionnaires. The collected data were analyzed
by descriptive statistics and Structural Equation Modeling (SEM). In regard to the qualitative research, the required qualitative data were obtained from documents, participant observations, and in-depth interviews with 8 key informants. The key informants, the executives of the company, were obtained by purposive sampling method for the in-depth interview. The research instrument
was a semi-structured interview guide; all the qualitative data derived from all sources were analyzed by dint of analytical interpretation.

The research findings revealed as follows: (1) The statistical values of the components of the acceptability patterns of the organizational administration (internal environment, external environment, supporting condition factors, and acceptability factors) were consistent with the empirical data and the evaluation criteria; (2) After examining the magnitude of direct influence and influence on the acceptance patterns of the organizational administration, the most favorable factors were supporting condition factors followed by internal factors. In addition, it was found that internal factors had a statistically significant indirect influence on the acceptance patterns of organizational administration through supporting conditional factors at 0.001 level. Overall, the acceptability patterns of organizational administration to accommodate the emerging digital economy was influenced by all factors of 0.779 with a statistical significance of 0.001.