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This study aims to (1) validate the efficacy of contractual and relational governance in enhancing operational performance and (2) explore the influence of product complexity on the effectiveness of these governance mechanisms, thereby determining the optimal approach for varying levels of product complexity.

By utilizing a comprehensive theoretical framework encompassing transaction cost economics, social exchange theory and contingency theory, this research explores the intricate interplay between governance mechanisms, product complexity and operational performance, drawing insights from a dataset comprising 246 responses within Mainland China’s manufacturing sector. To rigorously test the proposed hypotheses, this study employed a hierarchical regression analysis.

The findings of this study are summarized as follows: (1) while both contractual governance and relational governance have a significant impact on operational performance, relational governance is found to be more effective than contractual governance in enhancing operational performance; and (2) the moderation effect of product complexity is evident, as it weakens the impact of contractual governance while simultaneously enhancing the positive influence of relational governance on operational performance.

The study uncovers a moderation effect of product complexity on the relationship between governance mechanisms and operational performance. This finding adds an original contribution to the literature by highlighting how product complexity can interact with governance strategies, providing practical insights for industries dealing with varying levels of product complexity.

Decentralised autonomous organisations (DAOs) are internet-native self-governing enterprises where individual groups, communities, agencies, consumers and providers work together using blockchain-led smart contracts (SCs). This study aims to examine the role of DAO marketplaces in technology-led autonomous organisation design for enterprise technology sourcing industries, with algorithmic trust and governance.

The authors examined the importance of an enterprise marketplace governance platform for technology sourcing using DAO as a decentralised/democratised business model. A total of 98 DAO products/services are evaluated across 11 industries that envisage DAO as a strategic choice for the governance of decentralised marketplace platforms.

The research findings validate how a DAO-led enterprise marketplace governance platform can create a cohesive collaboration between consumers (enterprises) and providers (solution vendors) in a disintermediated way. The proposed novel layered solution for an autonomous governance-led enterprise marketplace promises algorithmic trust-led, self-governed tactical alternatives to a strategic plan.

The research targets multiple industry outlooks to understand decentralised autonomous marketplace governance and develop the theoretical foundation for research and extensive corporate suitability.

The research underpinnings boost the entrepreneurs’ ability to realise the practical potential of DAO between multiple parties using SCs and tokenise the entire product and service offerings over immutable ledger technologies.

To the best of the authors’ knowledge, this research is unique and the first of its kind to study the multi-industry role of algorithmic trust and governance in enterprise technology sourcing marketplaces driven by 98 decentralised and consensus-based DAO products across 11 industries.

This current study seeks to examine the effect of pharmaceutical business ecosystem (BE) governance mechanisms on new product development and to ascertain how crucial firm coordination will be in these relationships.

Analysis was based on 173 firms (institutions) selected from pharmaceutical BE. Various validity and reliability checks were conducted before the presentation of the actual analysis, which was conducted using structural equation modeling in Amos (v.23).

Findings showed that both relational and contractual governance mechanisms had direct positive effects on new product development of keystone. These effects were, however, partially mediated by coordination among the pharmaceutical BE members.

The development of COVID-19 vaccines across the globe has taught us that innovation and speedy development of pharmaceutical drugs are very essential. New product development success could however be achieved through effective coordination and proper governance mechanisms.

Business ecosystem, considered a network of actors, with varying degrees of multilateral, nongeneric complementarities and nonhierarchically controlled relationship, tends to pose problems for keystones. Very limited attention has however been paid to the governance mechanisms and coordination within the BE, especially in the pharmaceutical industry, which has proved its worth in this season of COVID-19.

To explain the practices that ESMA (European Securities and Markets Authority) recommends for investment firms and national competent authorities to implement when it comes to structured retail products (SRPs), in order to ensure sound product governance arrangements and the consistency of supervisory practices needed for adequate investor protection across the European Union.

Lists the ESMA guidelines for the general organization of product governance arrangements, breaks down the aspects manufacturers should consider in the making of their SRPs, highlights the need to understand the target market, explains the appropriate structure of the distributor’s and manufacturer’s distribution strategy, details how manufacturers establish a SRP’s value, recommends how investment firms deal with SRPs on the secondary market, and explains how manufacturers review the performance of their SRPs.

The competent authorities are still focusing on improving and enforcing investor protection. This ESMA opinion is just one example of how product governance structures and arrangements should be developed and implemented by everyone involved. It will be important to attend carefully to what MiFID 2 (Markets in Financial Instruments Directive 2) product governance requirements bring regarding investor protection in addition to the described ESMA opinion, which is based on MiFID 1.

Practical guidance from experienced finance lawyers.

This study aims to exploit Tobin’s Q model of investment to examine the relationship between corporate governance and green innovation.

The study is based on a sample of 3,896 firms from 2002 to 2021, covering 45 countries worldwide. The authors adopt Tobin’s Q model to conceptualize the relationship between corporate governance and investment in green research and development (R&D). The authors argue that agency costs and financial market frictions affect corporate investment and are fundamental factors in R&D activities. By limiting agency conflicts, effective governance favors efficiency, facilitates access to external financing and encourages green innovation. The authors analyzed the causal effect by using the system-generalized method of moments (system-GMM).

The results reveal that the better the corporate governance, the more the firm invests in green R&D. A 1%-point increase in the corporate governance ratings leads to an increase in green R&D expenses to the total asset ratio of about 0.77 percentage points. In addition, an increase in the score of each dimension (strategy, management and shareholder) of corporate governance results in an increase in the probability of green product innovation. Finally, green innovation is positively related to firm environmental performance, including emission reduction and resource use efficiency.

The findings provide implications to support managers and policymakers on how to improve sustainability through corporate governance. Governance mechanisms will help resolve agency problems and, in turn, encourage green innovation.

Understanding the impact of corporate governance on green innovation may help firms combat climate change, a crucial societal concern. The present study helps achieve one of the precious UN’s sustainable development goals: Goal 13 on climate action.

This study goes beyond previous research by adopting Tobin’s Q model to examine the relationship between corporate governance and green R&D investment. Overall, the results suggest that effective corporate governance is necessary for environmental efficiency.

This study examined how the technological (tech) advantage and market advantage of new products influence the level of formal channel governance and, in turn, affect the success of new products in the presence of relational governance.

The hypotheses are tested using the partial least squares approach to analyse survey data collected from 392 retailers of customer goods in China.

The results indicate that tech advantage and market advantage lead to an increase in retailers' transaction-specific investments (TSIs) and contract explicitness, respectively; the positive effect of market advantage on a retailer's TSIs will gradually decrease and will even become negative beyond a certain point. The relational governance mechanism can substitute for the effects of contract explicitness on improving new product success.

This research provides a new perspective for understanding new product advantage and exerts an initial effort to empirically distinguish between tech advantage and market advantage. It enriches the innovation literature by examining the governance of new product launches through retailers and explores the effects of formal and informal governance on channel cooperation performance in the new product launch stage.

Despite the significant investment in research on corporate social responsibility (CSR), there still exists a lack of clarity in terms of how different types of CSR activities lead to the outcomes a firm desires with their investment in CSR. The purpose of this paper is to provide greater insight on the relationship between types of CSR activities and brand equity (BE). The authors develop and test a conceptual framework, which examines the unique relationship between each CSR dimension and BE, as well as the interaction of product-related CSR activities and employee-related CSR activities with CSR activities across the other dimensions.

The authors collected data from multiple secondary sources, including Kinder, Lydenberg and Domini (KLD) Research and Analytics Inc., Interbrand, Compustat and CMR. The authors used random-effect estimations to estimate panel regressions of BE as a function of the different dimensions of a firm’s CSR, interaction terms between CSR dimensions and product quality and interaction terms between employee relations and other CSR dimensions, as well as a set of control variables and Year dummy variables.

Based upon a large-scale panel data set including 78 firms for the period of 2000–2014, the results show that diversity- and governance-related CSR have a positive effect on BE, employee-related CSR has a negative effect on BE and both product and employee dimensions play important roles in the relationships between other CSR dimensions and BE. These results have important implications for both theory and practice.

This study makes several contributions to extant literature on CSR and brand strength. First, this study examines the impact of CSR on BE vs alternative measures of brand-related outcomes. This study uses the KLD database to determine scores for firm CSR activity. It is the first to use the extensive KLD database to examine the relationship between types of CSR activities and BE. Last, this study seeks to better understand some of the organizational factors which influence the success of CSR outcomes. Specifically, the research will examine the interaction of product-related and employee-related CSR activities with CSR activities across the other dimensions.

The purpose of this paper is to analyse current challenges and to articulate the preconditions for data-driven, fact-based product portfolio management (PPM) based on commercial and technical product structures, critical business processes, corporate business IT and company data assets. Here, data assets were classified from a PPM perspective in terms of (product/customer/supplier) master data, transaction data and Internet of Things data. The study also addresses the supporting role of corporate-level data governance.

The study combines a literature review and qualitative analysis of empirical data collected from eight international companies of varying size.

Companies’ current inability to analyse products effectively based on existing data is surprising. The present findings identify a number of preconditions for data-driven, fact-based PPM, including mutual understanding of company products (to establish a consistent commercial and technical product structure), product classification as strategic, supportive or non-strategic (to link commercial and technical product structures with product strategy) and a holistic, corporate-level data model for adjusting the company’s business IT (to support product portfolio visualisation).

The findings provide a logical and empirical basis for fact-based, product-level analysis of product profitability and analysis of the product portfolio over the product life cycle, supporting a data-driven approach to the optimisation of commercial and technical product structure, business IT systems and company product strategy. As a virtual representation of reality, the company data model facilitates product visualisation. The findings are of great practical value, as they demonstrate the significance of corporate-level data assets, data governance and business-critical data for managing a company’s products and portfolio.

The study contributes to the existing literature by specifying the preconditions for data-driven, fact-based PPM as a basis for product-level analysis and decision making, emphasising the role of company data assets and clarifying the links between business processes, information systems and data assets for PPM.

Product intervention power is introduced under the markets in financial instruments regulation (MiFIR) and packaged retail and insurance-based investment products (PRIIPs) Regulation for all EU Member States and gives National Competent Authorities (NCAs), European Securities and Markets Authority (ESMA), and European Banking Authority (EBA) powers to monitor financial products (and services) under their supervision and to “temporarily” prohibit or restrict the marketing, distribution, or sale of certain financial instruments, or to intervene in relation to certain financial activities or practice. This extends the supervisory measures defined in MiFID II to any PRIIPs (including insurance-based investment products “IBI products”) that would not otherwise fall under the scope of MiFID II. Product intervention power is given to the NCAs, and in order to use power, it requires to take the specifics of the individual case into account and a series of conditions, criteria, and factors to fulfill. Moreover, ESMA and the EBA have a type of control function and ability to override national regulators on product. The aim of product intervention powers is to ensure strengthening of investor protection, but given the potential significant impact of this power, calls into question of possibility to delay innovation and slow down product developments on the capital market.

This paper provided an overview of supervisory measures on product intervention, that is, scope of the product intervention power, criteria, factors, and risks which have to be taken into consideration when using this regulator’s tool.