Artificial intelligence capabilities, open innovation, and business performance – Empirical insights from multinational B2B companies

Sahoo, Saumyaranjan; Kumar, Satish; Donthu, Naveen; Singh, Alok Kumar

doi:10.1016/j.indmarman.2023.12.008

Cited by 20 publications

(2 citation statements)

References 83 publications

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“…The study by Sullivan and Wamba (2024) suggests that enhanced capabilities of AI can strengthen an organization's ability to adapt to the environment, thereby influencing corporate innovation and performance. Sahoo et al (2024), based on the theory of organizational change, examined the relationship between AI and innovation practices and found that artificial intelligence drives firms to engage in innovation practices, thereby enhancing firm performance. In a study by Ding et al (2023), data from Chinese provinces were utilized to assess the macro-level impact of AI on provincial carbon emissions.…”

Section: Literature Reviewmentioning

confidence: 99%

The impact of artificial intelligence on the green and low‐carbon transformation of Chinese enterprises

Liu,

Zhou

2024

Manage Decis Econ

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Artificial intelligence (AI) plays a crucial role in addressing resource and environmental constraints and achieving sustainable economic and social development. This study examines the impact and mechanisms of AI on the green and low‐carbon transformation of enterprises using a sample of companies listed on the Shanghai and Shenzhen stock exchanges from 2009 to 2021. The research findings indicate that AI has the capability to effectively mitigate corporate carbon emissions (CCE) and enhance the level of green innovation (GI) in enterprises. Mechanism analysis reveals that energy consumption plays a mediating role in the relationship between AI and CCE. Heterogeneity analysis reveals that the inhibitory effect of AI on CCE is more pronounced in private enterprises and non‐heavy polluting industries. However, the impact of AI on GI is greater in state‐owned enterprises and heavy‐polluting industries. This study sheds light on the influence of AI on the green and low‐carbon transformation of enterprises, as well as its transmission mechanisms. It provides theoretical and empirical insights for promoting GI, reducing emissions, and improving energy efficiency in enterprises.

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Section: Literature Reviewmentioning

confidence: 99%

The impact of artificial intelligence on the green and low‐carbon transformation of Chinese enterprises

Liu,

Zhou

2024

Manage Decis Econ

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“…Given the size and importance of the B2B market, former studies have looked at the behavior of B2B companies [5][6][7][8][9]. However, many previous studies on corporate performance have been conducted without distinguishing between B2C and B2B [10][11][12][13][14].…”

Section: Introductionmentioning

confidence: 99%

Analyzing Factors That Affect Korean B2B Companies’ Sustainable Performance

Lee,

Kim

2024

Sustainability

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This study empirically examines factors that can influence the sustainable corporate performance of Korean business-to-business (B2B) companies with the help of unique survey data. Factors such as technological capability, the chief executive officer (CEO)’s risk-taking propensity, B2B seller skill, and key account management (KAM) are analyzed to clarify their impact on sustainable financial and non-financial performance. In particular, given that environment, society, and governance (ESG) reporting has recently been widely recognized as an important evaluation factor for companies, we look at the mediating effects of ESG management on sustainable business performance. The results show that the CEO’s risk-taking propensity and B2B seller skill significantly impact the company’s sustainable financial performance, while technological capability and the CEO’s risk-taking propensity significantly impact sustainable non-financial performance. The fact that a CEO’s risk-taking propensity affects both sustainable financial and non-financial performance indicates the importance of entrepreneurial competency in the sustainability of the company. Furthermore, the findings reveal that ESG management plays a crucial role in sustainable corporate performance. The mediating role of ESG management allows technological capability, B2B seller skill, and KAM to influence sustainable financial performance significantly. Likewise, all of the explanatory factors contribute to the company’s sustainable non-financial performance through ESG management. The findings are important for both practitioners and scholars because they emphasize the need to establish an optimal ESG management strategy for corporate survival and sustainability. Furthermore, this study underscores that ESG management should be implemented by all organizational members, from CEOs to employees. Future research will include more comprehensive samples and analyze various strategic factors not covered in this study to derive effective ways by which companies can increase their performance and sustainability. We will also explore the factors that contribute to good ESG management practices.

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Does AI elevate corporate ESG performance? A supply chain perspective

Lin,

Zhu

2024

Bus Strat Env

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As a pivotal catalyst for sustainable development, the evolution and integration of AI are propelling both companies and society toward a more efficient trajectory. Utilizing a multi‐period difference‐in‐difference (DID) model, the study assesses the impact of the 2019 China Artificial Intelligence Pilot (AIP) policy on corporate environmental, social, and governance (ESG). The study's findings are the following: (1) Optimizing corporate governance through artificial intelligence (AI), the AIP policy has significantly bolstered the ESG performance of companies in the pilot areas. (2) Mechanistic analysis demonstrates that the AIP policy elevates ESG by bolstering the efficiency of corporate supply chains. (3) Heterogeneity testing shows that the AIP policy exerts a more pronounced effect on non‐state‐owned companies, companies with high energy consumption, and those in the new energy sector. This manuscript furnishes empirical insights for evaluating the policy implications of AI development initiatives.

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Artificial intelligence capabilities, open innovation, and business performance – Empirical insights from multinational B2B companies

Cited by 20 publications

References 83 publications

The impact of artificial intelligence on the green and low‐carbon transformation of Chinese enterprises

The impact of artificial intelligence on the green and low‐carbon transformation of Chinese enterprises

Analyzing Factors That Affect Korean B2B Companies’ Sustainable Performance

Does AI elevate corporate ESG performance? A supply chain perspective

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