Studying the Role of Organizational Culture and Artificial Intelligence Integration in Business Performance

Abstract

Mohammad Shokrollahi*

As one of the most important transformative technologies in the current era, artificial intelligence (AI) has had profound effects on the performance of businesses. While the adoption and operation of artificial intelligence provides abundant opportunities for improving processes, decision-making, and innovation, its success is strongly influenced by cultural factors within organizations. Organizational culture, as a set of shared values, beliefs, and behaviors, canIt can be a stimulus or an obstacle to the adoption of new technologies. This research has used two main methods to collect and analyze data: the comparative analytical method and the review method. In the comparative analytical method, previous studies related to organizational culture and AI integration have been reviewed and compared to determine the relationship between these two concepts. In the review method, the existing scientific and industrial research in the field of challenges and opportunities in emerging markets has been evaluated. The data used include scientific articles, industry reports, and case studies from different organizations, and tools such as Hofstede's theoretical frameworks, Technology Acceptance Model (TAM), and Levine's Change Management Model have been used to analyze the data. To analyze the data, first, the cultural factors affecting AI adoption were identified and categorized in the form of analytical tables. Then, the impact of organizational culture on various aspects of AI adoption such as innovation, risk tolerance, hierarchical structures, and employee engagement was investigated. Also, specific challenges of emerging markets such as poor infrastructure, lack of digital skills, and restrictive laws were analyzed. Quantitative Research Method: This research was conducted through interviews with the statistical population including managers and experts of information technology and human resources in different organizations. Using a structured questionnaire, the data were collected and analyzed. This approach helped to identify managers' experiences and practical opinions in the field of AI adoption and provided deeper perspectives on the existing barriers and opportunities. The main purpose of this study is to investigate the relationship between organizational culture and success in integrating AI in organizations. In particular, this research aims to identify key cultural factors that facilitate or limit AI adoption . Also, the challenges and opportunities of emerging markets in this field have been evaluated to provide practical solutions for organizations in these areas. The findings of the research show that organizations with an innovation-driven, data-driven, and high- risk tolerance culture are more successful in adopting AI. In contrast, organizations with hierarchical structures and a risk-averse culture face more challenges in this field. In emerging markets, weak infrastructure, lack of digital skills, and restrictive laws make it more difficult to adopt AI. However, employee training, reform Regulatory laws and cooperation between academia and industry can reduce these barriers. This research shows that success in AI integration is highly dependent on organizational culture. Organizations should facilitate the adoption of new technologies by promoting a culture of innovation, employee engagement, and data driven. In emerging markets, overcoming infrastructure and regulatory challenges requires extensive training strategies and collaboration.

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