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Open research questions in Impact of AI and Big Data on Business and Society

66 unresolved questions extracted from the limitations and future-work sections of 182 Impact of AI and Big Data on Business and Society papers in our library. Each links back to the study that raised it.

What the literature leaves open

  • The study identifies the challenge of digital transformation for small and medium-sized enterprises. The study highlights the challenge of adopting artificial intelligence for business performance. The study notes the challenge of limited resources for research and development and limited access to innovation networks.

    Adoption of Artificial Intelligence and SME Performance in Digital Ecosystems · 2026 · DOI

  • The study faces challenges in collecting and analyzing data on AIT and industrial structure upgrading. The study needs to address the complexity of the relationships between AIT, digital economy, and environmental regulation.

    How does artificial intelligence technology promote industrial structure upgrading? The moderating role of environmental regulation · 2026 · DOI

  • The coordination compression trap can lead to a decline in organizational resilience despite increased productivity. The accumulation of verification debt can reduce organizational resilience. The lack of assurance and verification can lead to fragility and negative outcomes.

    The Coordination Compression Trap: A Dynamic Model of AI-Enabled Productivity, Verification Debt, and Organisational Resilience in Global Knowledge Firms · 2026 · DOI

  • Future research should explore the empirical validity of the model's parameters and assumptions. Future research should investigate the impact of AI on organizational resilience in different contexts and industries. Future research should develop strategies to mitigate the coordination compression trap and promote verified autonomy and governance.

    The Coordination Compression Trap: A Dynamic Model of AI-Enabled Productivity, Verification Debt, and Organisational Resilience in Global Knowledge Firms · 2026 · DOI

  • Further research on the adoption of AI in sugarcane marketing systems. Investigation of the impact of AI on farmer income stability and sustainable development.

    Integrating Artificial Intelligence for Sustainable Development of Sugarcane Marketing Systems in Karnataka · 2026 · DOI

  • The lack of AI-based solutions in sugarcane marketing systems. The need for improved market efficiency and transparency.

    Integrating Artificial Intelligence for Sustainable Development of Sugarcane Marketing Systems in Karnataka · 2026 · DOI

  • Future research can further distinguish between the intensity of AI investment and specific technology sub-categories. Future studies can explore the impact of AI investment on other aspects of corporate governance and financial stability.

    The Impact of AI Investment on Stock Price Crash Risk under Policy Shocks — A Full Mediation Path Analysis Based on Internal Control · 2026 · DOI

  • The existing research offers mixed views on the impact of AI investment on stock price crash risk. There is a lack of studies exploring the mechanism by which AI investment affects the risk of share price crashes.

    The Impact of AI Investment on Stock Price Crash Risk under Policy Shocks — A Full Mediation Path Analysis Based on Internal Control · 2026 · DOI

  • The conditional nature of AI-assisted coding productivity effects. The lack of a single universal effect of AI-assisted coding on developer productivity. The need to link AI usage and expenditure to task time, output quality, rework, and shipped product outcomes.

    The Economics of AI-Assisted Coding: Evidence, Cost Benchmarks, and an Investment Framework for Developer Productivity · 2026 · DOI

  • Further research is needed to link AI usage and expenditure to task time, output quality, rework, and shipped product outcomes. Additional telemetry is required to determine how much measured time or activity becomes valuable output.

    The Economics of AI-Assisted Coding: Evidence, Cost Benchmarks, and an Investment Framework for Developer Productivity · 2026 · DOI

  • Exploring how AI can leverage inherent characteristics to influence the development trajectory of IE is a topic that warrants further investigation.

    Artificial Intelligence and Innovation Ecosystem: Evolutionary Developments, Challenges, and Future Directions · 2026

  • The results indicate that motivation alone is insufficient; risk awareness and governance determine whether AI leads to measurable improvements in supplier performance.

    Buying artificial intelligence for the public sector: the interplay of digital sourcing governance, motivation and risk awareness · 2026 · DOI

  • The study has value because it will synthesize the available data on the use of AI in EV supply chains, pinpoint key gaps in the research, and formulate a research agenda in the future.

    Artificial intelligence applications in electric vehicle supply chain management: a systematic review and research agenda · 2026 · DOI

  • Limited research has been published in this realm and most of that is currently in proceedings.

    A Research Agenda for AI Strategy Leadership in Organizations · 2026

  • The paper does not investigate the reverse causality mechanism—whether firms with higher existing ESG disclosure commitments are more likely to subsequently adopt AI technologies, potentially confounding the estimated AI effect on ESG disclosure quality in the fixed-effects and GMM specifications.

    The role of artificial intelligence in shaping ESG disclosure evidence from listed companies in Saudi Arabia · 2026 · DOI

  • The study establishes a positive relationship between AI disclosure and ESG reporting in the Saudi context but does not examine whether this relationship differs across industry sectors (e.g., oil and gas vs. financial services vs. utilities) or for firms facing different regulatory pressures under Saudi Vision 2030 sustainability mandates.

    The role of artificial intelligence in shaping ESG disclosure evidence from listed companies in Saudi Arabia · 2026 · DOI

  • There is a paucity of research on transitional economies like Croatia. The study aims to address this gap by investigating the social foundations of AI adoption in Croatia.

    Attitudes, Risks and Regulation: The Social Foundations of AI Adoption in Croatia · 2026 · DOI

  • The study does not mention any specific limitations. However, it can be inferred that the study may be limited by its focus on small and medium-sized enterprises in Romania.

    Adoption of Artificial Intelligence and SME Performance in Digital Ecosystems · 2026 · DOI

  • The selection for the sample within each subgroup was based on quotas, taking into account the dominant type of activity according to the Polish Classification of Activities. The survey was limited to 100 entities - 50 small and medium-sized enterprises and 50 large enterprises.

    ESG and AI competences in Polish enterprises during the twin transition · 2026 · DOI

  • The gap in the market for specialists with ESG competences. The lack of understanding of the requirements for employee competences in modern technologies and ESG.

    ESG and AI competences in Polish enterprises during the twin transition · 2026 · DOI

  • The study only examined the impact of AI on employee performance in the Tunisian telecommunications sector. The sample size was limited to 85 employees. The study did not examine the long-term effects of AI on employee performance.

    The Impact of Artificial Intelligence on Job Performance in Tunisian Telecommunications Companies · 2026 · DOI

  • Future research should examine the long-term effects of AI on employee performance. Future research should also examine the impact of AI on employee performance in other sectors and countries.

    The Impact of Artificial Intelligence on Job Performance in Tunisian Telecommunications Companies · 2026 · DOI

  • The study identifies a gap in the literature on the relationship between internal control systems, technological capabilities, and risk management in the context of SDG 16.

    INTERNAL CONTROL SYSTEMS AND TECHNOLOGICAL CAPABILITIES AS DRIVERS OF BANK RISK MANAGEMENT FOR ADVANCING SUSTAINABLE DEVELOPMENT GOAL 16 · 2026 · DOI

  • Existing studies have mostly assessed the emission reduction effect of AI based on linear frameworks. There is a need to explore the nonlinear effects of AI use levels on corporate carbon emission intensity.

    A study on the nonlinear impact and mechanism of artificial intelligence application level on corporate carbon emission intensity · 2026 · DOI

  • The lack of standardised definitions for social metrics. The gap between what organisations disclose and what they actually do. The need for more credible and effective corporate climate action.

    Harnessing Artificial Intelligence for Climate-Aligned Corporate Sustainability: Integrating ESG Frameworks, CSR Mandates, and SDGs toward a Resilient Low-Carbon Economy · 2026 · DOI

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66 open questions have been extracted from the limitations and future-work passages of 182 Impact of AI and Big Data on Business and Society papers in our library. Each one below links back to the study that raised it, so you can read the original claim in context.

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