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This study aims to investigate the antecedents of corporate sustainability performance, focusing on corporate governance mechanisms. The growing diffusion of sustainability-related corporate governance regulation raises a legitimate question about the effectiveness of these mechanisms in fostering sustainability performance. While extant research has separately taken into consideration different mechanisms related to corporate governance and sustainability, in this study, we investigate the combined effect of generic governance mechanisms, such as board size and board independence, and sustainability-related governance mechanisms, such as the presence of a sustainability committee and sustainability targets in executives’ compensation schemes, on corporate sustainability performance. Based on a dataset of 185 companies listed in the most important European markets, our results indicate that both generic and sustainability-related governance mechanisms enhance corporate sustainability performance. More specifically, the presence of independent directors and the inclusion of quantitative sustainability targets in executives’ compensation schemes contribute to corporate sustainability performance.

In today’s fast-changing business environment, artificial intelligence (AI) capability plays a critical role in fostering product innovation (PI). Resource-based theory (RBT) posits that resources and capabilities characterized as valuable, rare, inimitable, and non-substitutable can generate a sustained competitive advantage, providing an appropriate theoretical framework for this study. Using RBT this study examines how business intelligence transforming capability (BITC) mediates the relationship between AI capability and PI and how formal and informal knowledge governance mechanisms (FKGMs and IKGMs, respectively) moderate the effect of AI capability on BITC. Using partial least squares structural equation modeling on 516 Chinese manufacturing enterprises, we empirically test a mediated moderation model. The findings reveal that BITC significantly mediates the relationship between AI capability and PI. Both FKGMs and IKGMs strengthen the effect of AI capability on BITC (with IKGMs showing a stronger influence). This study theoretically contributes by identifying BITC’s mediating role, defining AI capability and BITC boundary conditions, revealing FKGMs’ and IKGMs’ asymmetries, and extending RBT. In terms of practical contributions, the findings emphasize the necessity of developing BITC and strategically applying both FKGMs and IKGMs to maximize AI capability-driven PI benefits.

Does the establishment of pilot zones for green finance reform and innovations in 2017 have an impact on the Environment, Social and Governance (ESG) scores of enterprises? This paper selects data from Chinese A-share listed companies from 2014–2020 and uses the differences-in-differences (DID) model to analyze the impact of green financial reform on the ESG scores of enterprises. The study shows that the establishment of the Green Financial Reform and Innovation Pilot Zone (GFPZ) policy helps enterprises to obtain higher ESG scores through environmental, social and governance mechanisms. When ESG is measured using environmental, social and governance data, our results suggest that the contribution of green finance reforms to ESG scores is primarily driven by social responsibility scores. The adjustment effect analysis shows that for large enterprises in the GFPZ, the above effects have stronger influence, but there is no significant difference between heavily polluting and non-heavily polluting firms in the GFPZ. Expansive analysis shows that the improvement in ESG scores of enterprises in the GFPZ not only contributes to the green performance of enterprises, but also to their financial performance.

Whole-process people’s democracy profoundly reflects the features of socialist democracy with Chinese characteristics, and comprehensively and systematically reveals the concept of people’s democracy as providing important mechanisms of national and social governance. Based on the traditional democratic understanding of democracy as majority rule, whole-process people’s democracy emphasizes the universality and extensive range of democratic governance, but also has the natural value defects of democratic value itself. Therefore, we must organically combine democracy with the values of the rule of law and human rights, to build a well-defined governance order based on people’s democratic value. The whole process in the “whole-process people’s democracy” has really resolved the situation of people’s “absence” from many links of state power operation caused by over-emphasizing the election-democracy in the Western capitalist democratic system. Through the people’s extensive participation and effective supervision, the state power operation mechanism based on the fundamental political system, the people’s congress system, has been ensured to be always in the framework of people’s democratic governance. This effectively realizes the people’s sovereignty and is consistent with the declaration that “all power in the People’s Republic of China (PRC) belongs to the people,” stipulated in the Constitution of China. To improve the governance efficiency of whole-process people’s democracy in practice, we must bring it onto the rule of law, and use the rule of law philosophy and methods to reasonably and effectively resolve all kinds of theoretical and practical problems.

This study aims to develop, examine, and test organizational and individual predictors of knowledge sharing behavior of teachers in the higher education sector in Pakistan. The study examined the direct and indirect effects of organizational factors on knowledge sharing behavior (KSB) through individual factors. The social capital theory has been utilized to explain the premise of this research. This study uses a survey design. Data has been collected from 269 university teachers in Pakistan. A Structural equation modeling has been used to test the hypotheses using SPSS and Amos. The Data supported the hypotheses. This Study concludes that organizational and individual are important for enhancing KSB as organizational factors work through individual factors to influence the KSB of faculty members.

This paper presents an empirical study of changes that firms implement in their board-level IT governance (ITG) upon experiencing operational IT failures. Consistent with the separation of oversight from management decisions, board-level ITG is responsible for monitoring managerial IT decisions and policies for controlling IT resources. We expect that operational IT failures indicating inadequacies in board monitoring of controls over IT resources would result in a negative stock market reaction and, in turn, induce firms to improve their board-level ITG. Our expectation is confirmed based on a sample of 110 operational IT failures from U.S. public financial firms. Specifically, our results demonstrate that subsequent to experiencing operational IT failures, firms make improvements to the IT competency level of their boards, and the improvements are proportional to the degree of negative market reaction. However, those improvements are only on the executive side of the board, namely: an increase in the IT experience of internal (executive) directors and an increased turnover rate of CIOs serving on the board. Furthermore, the likelihood of CIO turnover is lower in IT-intensive firms where such turnover could be more disruptive. Our results contribute to understanding the critical connection between operational IT failures and board-level ITG.

Research on entrepreneurial ecosystems has largely taken a macro-perspective to better conceptualize and map the determinants and evolution of entrepreneurial ecosystems, yet has neglected the micro-level interactions of various entrepreneurial ecosystem actors. Recent criticisms of entrepreneurial ecosystems have centered on the lack of explicit case and effect relationships, attribution, units of analysis, the different use of network definitions as well as the static nature of existing frameworks. The purpose of our paper is to present a micro level principal investigator (PI)-centered governance framework that addresses these posited criticisms and in doing so identifies the value creation indicators (benefits), PI capabilities, the problem categories (costs), and solving mechanisms that PIs can use to govern effectively and efficiently large-scale publicly funded research programs. In leading such research programs, PIs interact with different actors within entrepreneurial ecosystems and manage governance issues, conflicts, and tensions effectively at the micro level to deliver the anticipated benefits and costs for each actor. Our framework provides the basis for future empirical research on entrepreneurial ecosystem as we have attributed cause and effect at an individual actor level and conceptualized the governance challenges at a micro rather than at the macro level that overcomes the static nature of previous frameworks.

Previous research has proposed different types for and contingency factors affecting information technology governance. Yet, in spite of this valuable work, it is still unclear through what mechanisms IT governance affects organizational performance. We make a detailed argument for the mediation of strategic alignment in this process. Strategic alignment remains a top priority for business and IT executives, but theory-based empirical research on the relative importance of the factors affecting strategic alignment is still lagging. By consolidating strategic alignment and IT governance models, this research proposes a nomological model showing how organizational value is created through IT governance mechanisms. Our research model draws upon the resource-based view of the firm and provides guidance on how strategic alignment can mediate the effectiveness of IT governance on organizational performance. As such, it contributes to the knowledge bases of both alignment and IT governance literatures. Using dyadic data collected from 131 Taiwanese companies (cross-validated with archival data from 72 firms), we uncover a positive, significant, and impactful linkage between IT governance mechanisms and strategic alignment and, further, between strategic alignment and organizational performance. We also show that the effect of IT governance mechanisms on organizational performance is fully mediated by strategic alignment. Besides making contributions to construct and measure items in this domain, this research contributes to the theory base by integrating and extending the literature on IT governance and strategic alignment, both of which have long been recognized as critical for achieving organizational goals.

PurposeThe purpose of this paper is to explore how multinational corporations (MNCs) orchestrate internal and external resources to help their multi-tier supply chains learn sustainability-related knowledge.Design/methodology/approachAn exploratory multiple case study approach was adopted and three MNCs’ sustainable initiatives in China were examined. The data were primarily collected through 43 semi-structured interviews with managers of focal companies and their multi-tier suppliers.FindingsThe authors found that in order to facilitate their supply chains to learn sustainability, MNCs tend to orchestrate in breadth by internally setting up new functional departments and externally working with third parties, and orchestrate in depth working directly with their extreme upstream suppliers adopting varied governance mechanisms on lower-tier suppliers along the project lifecycle. The resource orchestration in breadth and depth and along the project lifecycle results in changes of supply chain structure.Practical implicationsThe proposed conceptual model provides an overall framework for companies to design and implement their multi-tier sustainable initiatives. Companies could learn from the suggested learning stages and the best practices of case companies.Originality/valueThe authors extend and enrich resource orchestration perspective (ROP), which is internally focused, to a supply chain level, and answer a theoretical question of how MNCs orchestrate their internal and external resources to help their supply chains to learn sustainability. The extension of ROP refutes the resource dependence theory, which adopts a passive approach of relying on external suppliers and proposes that MNCs should proactively work with internal and external stakeholders to learn sustainability.

Corporate governance disclosures form a key part of a company’s non-financial reporting. Several studies consider the determinants of corporate governance reporting, including external factors such as country-specific legislation and scandals, and internal factors such as financial performance, size and culture. Others consider the consequences of corporate governance reporting, using simple proxies for corporate governance mechanisms such as board composition characteristics to analyse the impact on financial reporting quality and company valuation. Yet the determinants and consequences of corporate governance reporting may be interlinked, and many quantitative studies fail to consider these links and their multiple effects adequately. Poor financial performance, for example, can be both a determinant and a consequence of the underlying governance mechanisms that corporate governance reporting aims to capture. The framework provided in this paper considers both the determinants and consequences of corporate governance and likely links between them, and also considers internal corporate governance mechanisms and the measures that are used as their proxies. In combining these three aspects of corporate governance and showing potential links, the framework offers insights into future research opportunities. The framework can be adapted to any country or organisational setting and also offers the opportunity to consider theories other than agency theory when studying corporate governance disclosures.