Guest editorial: Impact of artificial intelligence on business strategy in emerging markets: a conceptual framework and future research directions

Zhou, Xinyue; Yang, Zhilin; Hyman, Michael R.; Li, Gang; Munim, Ziaul Haque

doi:10.1108/ijoem-04-2022-995

Cited by 11 publications

(3 citation statements)

References 57 publications

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“…Artificial intelligence (AI) was established to design and build "thinking machines" including a range of enabling computing technologies that have been designed to recognize, learn, think, and act in an appropriate manner. Beginning from the late 1970s, AI contributed to enhancing the way humans make business decisions and the resulting levels of profitability across different business domains through its capability to identify business models, learn business behaviors, search for relevant information, and analyze data in smart ways [158][159][160][161]. Over the years, AI has been shown to augment our brains and increase our overall set of cognitive abilities to the unimagined levels [160,162].…”

Section: Artificial Intelligence (Ai)mentioning

confidence: 99%

Industry-4.0-Enabled Digital Transformation: Prospects, Instruments, Challenges, and Implications for Business Strategies

Yaqub

Alsabban

2023

Sustainability

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Digital transformation, which significantly impacts our personal, social, and economic spheres of life, is regarded by many as the most significant development of recent decades. In an industrial context, based on a systematic literature review of 262 papers selected from the ProQuest database, using the methodology of David and Han, this paper discusses Industry 4.0 technologies as the key drivers and/or enablers of digital transformation for business practices, models, processes, and routines in the current digital age. After carrying out a systematic literature review considering key Industry 4.0 technologies, we discuss the individual and collective ways in which competitiveness in contemporary organizations and institutions is enhanced. Specifically, we discuss how these technologies contribute as antecedents, drivers, and enablers of environmental and social sustainability, corporate growth and diversification, reshoring, mass customization, B2B cooperation, supply chain integration, Lean Six Sigma, quality of governance, innovations, and knowledge related to dealing with challenges arising from global pandemics such as COVID-19. A few challenges related to the effective adoption and implementation of Industry 4.0 are also highlighted, along with some suggestions to overcome them.

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Section: Artificial Intelligence (Ai)mentioning

confidence: 99%

Industry-4.0-Enabled Digital Transformation: Prospects, Instruments, Challenges, and Implications for Business Strategies

Yaqub

Alsabban

2023

Sustainability

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“…The rise of financial technology (FinTech) and the digitization of transactions have garnered significant attention from regulatory bodies within the financial industry in Pakistan. The application of Artificial Intelligence (AI) has emerged as a pivotal advancement in FinTech, disrupting traditional labor-intensive working models and transforming the sector in the country (Zhou, Yang, Hyman, Li, & Munim, 2022). Even though it is still in its nascent stages, the adoption of AI technology has allowed some businesses to reposition themselves as digital-centric, creating specific FinTech departments to increase their market share.…”

Section: Literature Reviewmentioning

confidence: 99%

Nexus between Fintech Adoptability and Customer’s Perception towards Fintech in the Islamic Banking Industry

Qureshi,

Rehman,

Khan

et al. 2023

Pak. J. Humanit. Soc. Sci

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The prime motive of the study is to investigate the relation between customers' perceptions towards FinTech and its capacity to be adopted in Pakistan's Islamic banking industry. Additionally, it looks into how open customers are to embracing and using FinTech services in the Islamic banking industry. In order to full fil the motive of study, the primary data was collected from 385 clients of five Islamic banks operating in District Haripur, Pakistan. Structural equation modeling (SEM) and partial least square path modeling were used to analyze the data and test the hypotheses. Study found that customers' perceptions of FinTech adoption are strongly influenced by value earned, usefulness, safety, trust, and ease of use, whereas risk has only a little impact. Study recommends that Islamic banks need to strengthen FinTech to boost customer trust. Study also provide insights to decision makers and regulators in Islamic banking industry to ensure the provision of sound FinTech for its customers.

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“…The products and services of conventional nancial institutions have been designed for a population with a credit history, steady economic income, contingent family backup, and nancial education, among others; that is, a population that can be granted credit with a low risk of default (Lotto, 2018;Shihadeh, 2018; Dar and Ahmed, 2020; Amari and Anis, 2021; . Since 2015, some actors with a much less traditional perspective than banking institutions have been rede ning how to determine the creditworthiness of millions of under nanced people using arti cial intelligence (AI) with new algorithms capable of discovering behavioral patterns correlated with nancial liability (Dheundje et al, 2020; Rodriguez, 2022; Zhou et al, 2022). So, a risk analysis model that uses AI and complexly connects the circumstances and needs of these women has the potential to offer a pathway to their nancial inclusion.…”

Section: Introductionmentioning

confidence: 99%

Financial Inclusion of Vulnerable Sectors with a Gender Perspective: Risk Analysis Model with Artificial Intelligence Based on Complex Thinking

Vidal

Alonso-Galicia

González-Mendoza

et al. 2023

Preprint

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The objective is to present a proposal for a gender-sensitive risk analysis model using artificial intelligence (AI) within the framework of complex thinking, specifically for impoverished and vulnerable women. This international non-parametric study analyzed business and entrepreneurial activity in a sample of 2,787 women. The methodological design included data analysis, the postulation of a proposed model, and a validation method for the credit risk analysis model. There is a correlation between the level of schooling of impoverished and vulnerable women with the possibility of self-employment and selling a product or service. In the framework of complex thinking, the perception of innovative thinking is related to the level of education and innovative decision-making in professional projects. Women with a higher level of schooling tend to think about their professional projects systematically. Promoting complex thinking involves innovative educational practices to encourage critical, systemic, scientific, and innovative thinking in entrepreneurship and sustainable development. Integrating reasoning for complexity benefits women and contributes to economic and social growth in vulnerable regions. In contrast to other models, our credit risk analysis model uses AI and variables for gender, vulnerability, and complex thinking to detect patterns in women's behaviors and attitudes in the venture start-up process.

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Guest editorial: Impact of artificial intelligence on business strategy in emerging markets: a conceptual framework and future research directions

Cited by 11 publications

References 57 publications

Industry-4.0-Enabled Digital Transformation: Prospects, Instruments, Challenges, and Implications for Business Strategies

Industry-4.0-Enabled Digital Transformation: Prospects, Instruments, Challenges, and Implications for Business Strategies

Nexus between Fintech Adoptability and Customer’s Perception towards Fintech in the Islamic Banking Industry

Financial Inclusion of Vulnerable Sectors with a Gender Perspective: Risk Analysis Model with Artificial Intelligence Based on Complex Thinking

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