Forecasting the macrolevel determinants of entrepreneurial opportunities using artificial intelligence models

Jabeur, Sami Ben; Ballouk, Houssein; Mefteh‐Wali, Salma; Omri, Anis

doi:10.1016/j.techfore.2021.121353

Cited by 28 publications

(8 citation statements)

References 72 publications

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“…Compared to other forms of technology, artificial intelligence differs as it enables a computer to learn (Jabeur et al, 2022). This means a computer can analyze written and verbal information in order to detect trends.…”

Section: History Of Ai and Defining The Conceptmentioning

confidence: 99%

Artificial intelligence in international business

Ratten,

Jones,

Braga

2024

Thunderbird Intl Bus Rev

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Artificial intelligence is poised to transform international business through the adoption of new digital technology practices as part of the fourth industrial revolution. The how, when, and why of artificial intelligence implementation in international business is still somewhat unknown but will likely significantly influence performance outcomes, market interpretation, risk prediction, consumer interactions, and technology‐based metrics. With greater emphasis on artificial intelligence‐based tools, the future practice of international business will require digital literacy. This means business managers need to improve the way they analyze artificial intelligence in terms of appreciating its usefulness while maintaining privacy and mitigation strategies. In this editorial, we discuss the current developments regarding artificial intelligence in international business with the goal of identifying future research areas of importance.

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Section: History Of Ai and Defining The Conceptmentioning

confidence: 99%

Artificial intelligence in international business

Ratten,

Jones,

Braga

2024

Thunderbird Intl Bus Rev

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“…The influence of AI on education is likewise growing. AI is a vast field encompassing "computer science, cybernetics, information theory, neurophysiology, psychology, philosophy, linguistics, and other disciplines" [56].…”

Section: Ai-based Learningmentioning

confidence: 99%

Prospers and Obstacles in Using Artificial Intelligence in Saudi Arabia Higher Education Institutions—The Potential of AI-Based Learning Outcomes

Alotaibi

Alshehri

2023

Sustainability

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Within the framework of the ongoing implementation of the 2030 Vision for Comprehensive Development of Higher Education in Saudi Arabia, the integration of artificial intelligence (AI) has emerged as a pivotal objective for the country’s numerous higher education institutions. This study aims to examine the opportunities and challenges that arise from the adoption of AI-based learning outcomes in Saudi Arabia’s higher education institutes. Moreover, the research also investigates the contribution of major higher education institutes in Saudi Arabia to the field of AI-based learning outcomes. To gather relevant literature, the Scopus and Web of Science databases were utilised, resulting in the selection of fifty-five studies for final analysis. The study employed the PRISMA statement 2020 for records filtration and utilised VOS viewer software to classify the literature on AI-based learning outcomes in Saudi Arabian universities. Through detailed analysis, three significant data streams were identified and examined. The findings indicate that AI is in a nascent stage within the realm of learning, and it has become an undeniable reality for higher education institutions. Embracing this transformative technology is crucial for meeting future learning challenges, and it is imperative that all students acquire the necessary technical skills to interact with and create artificial intelligence in the future. According to the findings, AI has the potential to address significant educational challenges, revolutionise teaching and learning methodologies, and accelerate progress toward the Saudi 2030 objectives. However, the study also highlights certain challenges associated with the implementation of AI-based learning in the higher education context of Saudi Arabia, emphasising the need for teachers to acquire new technological skills to effectively utilise AI pedagogically.

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“…This is crucial because each developing country has unique circumstances based on its culture, policies, and level of institutional development (Aparicio et al, 2022). Likewise, Jabeur et al (2022) argued that countries should also pay attention to factors in the macro-environment when trying to find ways to boost entrepreneurship. A significant number of studies predominantly focused on the individual factors to understand entrepreneurship development (Jabeur et al, 2022).…”

Section: Entrepreneurship Development In Developing Countriesmentioning

confidence: 99%

“…Likewise, Jabeur et al (2022) argued that countries should also pay attention to factors in the macro-environment when trying to find ways to boost entrepreneurship. A significant number of studies predominantly focused on the individual factors to understand entrepreneurship development (Jabeur et al, 2022).…”

Section: Entrepreneurship Development In Developing Countriesmentioning

confidence: 99%

Foreign Direct Investment, Public Sector Venality and Entrepreneurship Development in Developing Countries

Dzomonda

Ngwakwe

2022

IJEFI

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This paper evaluates the relationship between foreign direct investment (FDI) and entrepreneurship development in developing countries. The paper also analyses the intervening effect of public sector venality and the foreign direct investment effect on developing entrepreneurship in developing countries. The paper applied a quantitative research method. Secondary data collection covered four years (2016-2019). Data related to FDI were collected from the World Bank database; data for public sector corruption were collected from the Transparency International Corruption Index, and data related to entrepreneurship development were collected from the Global Entrepreneurship Monitor (GEM) reports. The sample consisted of nine developing countries which resulted in 36 observations. Data were analysed with the application of fixed effect regression. The results showed that foreign direct investment significantly affects entrepreneurship development in developing countries and that public sector venality negatively affects entrepreneurship development. The practical significance of these findings includes the need for developing countries to place pragmatic emphasis on the continuous attraction of foreign direct investment to accelerate the positive spill-over effect of foreign direct investment on local entrepreneurs, which comes with skills and technology advantages – amongst others. There is a dire need for governments in developing countries to rethink their approach toward eradicating public sector venality, which this research has confirmed as inimical to the nurturing and development of local entrepreneurship. This paper recommends an agenda for further research to explore the current model by including more samples and more time series in future analysis models.

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Forecasting the macrolevel determinants of entrepreneurial opportunities using artificial intelligence models

Cited by 28 publications

References 72 publications

Artificial intelligence in international business

Artificial intelligence in international business

Prospers and Obstacles in Using Artificial Intelligence in Saudi Arabia Higher Education Institutions—The Potential of AI-Based Learning Outcomes

Foreign Direct Investment, Public Sector Venality and Entrepreneurship Development in Developing Countries

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