Journal of Business & Economic Policy

The Impact of Artificial Intelligence Warehousing Automation Equipment Combined with Visual Positioning Picking Operation System in Taiwan's Warehousing Staff Strategy
Kanglin Chiang, Huai-Tien Wang

Abstract
Taiwan's small and medium warehousing companies traditionally adopted a single warehousing service model. However, in the face of the diversified warehousing needs of customers, coupled with the trend of warehousing automation and intelligence, embracing intelligence has become a choice that small and medium warehousing companies have to make. In this era of industrial intelligence, when the traditional small and medium warehousing industry introduces intelligent equipment, it will affect the enterprise's employees. This study mainly analyzes the implication and impact of the small and medium warehousing industry that introduced artificial intelligence warehousing automation equipment combined with a visual positioning picking operation system. The study uses a questionnaire survey to do descriptive statistical analysis, reliability analysis, factor analysis, variance analysis, and multiple regression analysis to confirm whether the research hypothesis holds. The results are：(1) Employees consider competitiveness from the company's perspective. Employees believe that paying attention to changes in the company can bring employees a long-term future. When employees are not willing to use no salary adjustment in exchange for the company's growth, staff will look for other companies' positions. (2) Salary is not the top concern of all employees. Employees will pay attention to the long-term competitiveness of equipment because employees believe that enterprises with long-term competitiveness can keep employees from losing their jobs. Therefore, this study found that when employees faced the introduction of new equipment, employees prioritized the possibility of unemployment. However, the company only selects employees who support the company's growth.

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