STRATEGIC DECISION MAKING AND ARTIFICIAL INTELLIGENCE: NEW APPROACHES AND INDIVIDUAL PERCEPTIONS IN EMPLOYEE DECISION MAKING PROCESSES

Abstract

Artificial intelligence (AI) has significantly transformed strategic decision-making processes in the business world. With the rise of remote work and digitalization, AI technologies have influenced influenced the ways employees make decisions and have introduced new approaches to these processes. This study examined the impact of AI technologies on strategic decision-making processes and the role of employees’ perceptions in this interaction in these processess. A survey was conducted among customs brokerage employees working in Istanbul using the Artificial Intelligence Perception Scale, the Artificial Intelligence Attitude Scale, and the Decision Strategies Scale. The data were analyzed using t-tests, one-way ANOVA, and Pearson correlation analysis with SPSS 25 software. Analyses based on gender, marital status, educational level, and length of work experience experience revealed significant differences in some variables. Female participants scored higher than males, and undergraduate participants had higher scores than postgraduate participants on the positive dimension of the General Attitude Toward Artificial Intelligence Scale. In addition, positive and significant correlations were found between the variables. These findings provide important insights into understanding the effects of AI perception and decision-making strategies.

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