نشریه تکنولوژی در کارآفرینی و مدیریت استراتژیک
سال دوم شماره 1 (پیاپی 2، بهار 1402)

This article examines the role of technological advancements and their impact on the transformation of entrepreneurial ecosystems. Drawing on recent studies, we explore the interplay between scientific knowledge, technology, and nascent entrepreneurship, demonstrating how the integration of these elements can lead to the creation of new businesses and economic growth. The importance of technology transfer in bolstering social entrepreneurship and designing innovative ecosystems to tackle social challenges is emphasized. Additionally, the article analyzes the challenges and opportunities entrepreneurs face in adapting to technological progress and examines the role of governments and supportive policies in promoting technological entrepreneurship. This analysis contributes to a better understanding of how to nurture a thriving entrepreneurial landscape in the digital age.

This study aims to investigate how artificial intelligence (AI) influences the development of demand forecasting systems in retail businesses, identifying the benefits, challenges, and opportunities presented by AI technologies. A qualitative research design was employed, using semi-structured interviews as the primary method for data collection. Participants included 20 managers and experts in the fields of retail and information technology, selected through purposive sampling. Five main themes were identified: the use of AI in demand forecasting, challenges in implementing AI, opportunities created by AI, effects on organization and strategy, and social and ethical impacts. AI was found to enhance demand forecasting accuracy, operational efficiency, and customer satisfaction. However, technical, organizational, and financial challenges were also noted. Despite the challenges associated with AI implementation, the study concludes that AI has a significant positive impact on improving demand forecasting and overall retail business performance. Retailers are encouraged to embrace AI technologies to stay competitive in the rapidly evolving market.

This study aims to explore the influence of emerging technologies on risk management strategies within the insurance industry, focusing on the adoption, integration, and challenges associated with these technologies. A qualitative research design was adopted, utilizing semi-structured interviews with senior managers and technical experts from various insurance companies. Data analysis was conducted through thematic analysis, identifying main themes and concepts related to the impact of emerging technologies. The study identified four main themes: the influence of emerging technologies, risk management strategies, challenges and opportunities, and regulatory changes. Emerging technologies like blockchain and artificial intelligence were found to improve transparency, reduce fraud, and enhance operational efficiency. Challenges include the insurability of cyber risks and integrating new technologies within existing systems. Emerging technologies present both significant opportunities and challenges for the insurance industry. While they offer the potential to revolutionize risk management practices, their effective integration requires careful consideration of legal, technical, and organizational factors.

This study aims to identify and analyze the role of green technologies in improving the performance of corporate social responsibility (CSR) in businesses. This qualitative research collected data through semi-structured interviews with managers and experts from companies that are leaders in implementing green technologies. The data analysis led to the identification of four main themes: the environmental impacts of green technologies, the adoption of technology and innovation, corporate social responsibility, and green technologies and digital transformation. These themes emphasize the importance of green technologies in enhancing the sustainability and social responsibility of businesses. The results confirm that green technologies play a significant role in strengthening corporate social responsibility and sustainability. They can serve as a key strategy for achieving sustainable development goals.

The primary aim of this research is to explore and analyze the profound and extensive impacts of sharing economy platforms on new entrepreneurial models within smart cities. This study seeks to provide a comprehensive understanding of how these platforms facilitate innovation and urban economic development. This study employs a qualitative approach through semi-structured interviews with 28 entrepreneurs, city managers, and ICT experts. Participants were selected using purposive sampling, and data were analyzed using qualitative content analysis. The results indicate that sharing economy platforms serve as powerful facilitators for promoting innovation, creating new job opportunities, and improving access to services in smart cities. These platforms effectively reduce entry barriers for new entrepreneurs and strengthen dynamic and creative entrepreneurial ecosystems. This study underscores that sharing economy platforms play a crucial role in the sustainable development of smart cities. They not only aid in stimulating economic growth and innovation but can also act as catalysts for change in traditional business models and promote a culture of collaborative entrepreneurship.

This study aims to explore and identify the effective strategies for enhancing customer engagement through the use of artificial intelligence (AI) technologies in online marketplaces. A qualitative research approach was adopted, focusing on semi-structured interviews with managers and experts in the fields of information technology and online marketing. Participants were selected based on their direct experience with AI technologies for customer engagement. The data were analyzed using content analysis to identify key themes and patterns. Four main themes were identified: Personalization Strategies, Interactive Strategies, Optimization Strategies, and Loyalty Strategies. Each theme comprised various categories and concepts, highlighting the diverse ways AI technologies can be utilized to improve customer interaction. Personalization strategies emphasized customized product recommendations and behavior-based offers. Interactive strategies focused on enhancing social media engagement and virtual technologies. Optimization strategies dealt with streamlining the shopping journey and site performance. Loyalty strategies underlined the importance of data-driven loyalty programs and post-purchase personalized experiences. Thus, by leveraging AI for personalization, interaction, optimization, and loyalty, businesses can significantly enhance the online customer experience, thereby fostering deeper relationships and increased customer loyalty.