Development of a Managerial Competency Model for Automotive Manufacturing Manager in the Automotive Industry Utilizing Artificial Intelligence

Abstract

The aims of this research were: 1) to study the components of a manager competency development model for automotive manufacturing managers in the automotive industry utilizing artificial intelligence (AI);  2) to develop a competency management model for the target employees, i.e. automotive manufacturing managers and 3) to design and develop                       a  competency-based Development Guide to serve as a professional development tool for prospective manufacturing managers of the automotive industry using AI technologies.

The sample group are managements level of the automotive industry in the eastern region Chonburi, Chachoengsao and Rayong. Qualitative data were obtained from          conducting in-depth interviews with 14 experts and from a panel discussion where the panelist comprised 16 industry experts in the field. The sample size was the population using random sampling. Quantitative data was obtained from a survey where 416 respondents provided answers to questions. Statistical methods used in data analysis were frequency, percentage, mean, standard deviation, and exploratory factor analysis (EFA). 

The results showed 3 essential components of a successful competency-based development framework including Knowledge, Skills and Desirable characteristics of an effective manager. The first dimension, “Knowledge”, consists of 6 subcomponents, namely,

1.1 Artificial Intelligence technology knowledge; 1.2 knowledge on innovation that connect production data; 1.3 achieving human development across all employee through artificial intelligence; 1.4 Planning of operations management; 1.5 design of the production process is according with artificial intelligence; 1.6 knowledge about risk assessment. Was at the good level, The second core component “Skills” covers 7 subcomponents as follows: 2.1 data management with Artificial Intelligence; 2.2 capabilities in manufacturing change management; 2.3 coordination competencies for common understanding and effective change management; 2.4 command and potential assessment skills; 2.5  artificial intelligence -based production control; 2.6 incorporating AI in corporate manufacturing process; 2.7 continuous improvement  and operational  optimization with AI deployment. Was at the good level , and the third key element “desirable qualities” consists of 5 sub-components as follows: 3.1 being a successful change leader who can effectively manage change in the organization; 3.2 being a good role model; 3.3 open-mindedness and open-minded listening;

3.4 building good work relationships and possessing teamwork skills; 3.5 sense of responsibility. Was at the good level.

According to the results of model development assessment and manual evaluation, the developed competency framework received unanimous approval by the 16 experts (100%) for its suitability. Likewise, the user manual was unanimously approved by all 5 persons (100%) of the expert panel for its appropriateness and practical implementation for the future.