Driving SDG implementation : assessing the relationships between network constructs, sustainable innovation strategies, and financial returns within the Thai automotive market | |
| Author | Nampheung Pimpa |
| Call Number | AIT Diss. no. DBA-SOM-24-06 |
| Subject(s) | Automobile industry and trade--Thailand Sustainable development Strategic planning |
| Note | A dissertation submitted in partial fulfillment of the requirements for the degree of Doctor of Business Administration |
| Publisher | Asian Institute of Technology |
| Abstract | Strategic network variables possess high potential for drivers to increase returns on business investments. The variable results discernible in organizational structures are effective for enhancing business operations. This idea has been verified by numerous researchers whose findings indicate that relations between network variables and the returns on business through constructs, principles, and implementation plans are significant in advancing business. Network development is a technique employed in organizations to maximize benefits from existing resources and integrate both internal and external patterns: this technique is the focus of this research. The research examines the relations that exist between network constructs which consist of the following variables: teamwork management, collaboration network structures, and team capabilities; as well as other relationship variables which include sustainable development goals (SDGs). These variables are the influential factors for specific focus and study for this study to facilitate increased returns in the automotive industry in Thailand in terms of innovation strategy implementation. In addition, correlation and multiple regression analyses are used to confirm relations and predict relation trends. The findings demonstrate scales of relations between network variables and their impact on the returns, for example, on sales, cash flow, and market shares within the automotive industry in Thailand. In conclusion, the relations can be used to design network models for platform implementation. Furthermore, the implications of the relations establish and presented in this study may provide insights into each pair of variables, including effective implementation plans, network models, practical components, design platforms, and preliminary models, to contribute to further in-depth research in the future. |
| Year | 2024 |
| Type | Dissertation |
| School | School of Management |
| Department | Other Field of Studies (No Department) |
| Academic Program/FoS | Doctor of Philosophy in Business Administration (Publication code = DBA-SM, SM) |
| Chairperson(s) | Ransom, Lakeesha K. |
| Examination Committee(s) | Badir, Yuosre F. M.;Vimolwan Yukongdi;Pisut Koomsap |
| Degree | Thesis (Ph.D.) - Asian Institute of Technology, 2024 |