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In this paper the authors aim to argue that the existence of a strong corporate governance mechanism (a formal credibility-enhancing mechanism) and the presence of a more trustworthy-looking CEO (an informal credibility-enhancing mechanism) are substitutes.

By using machine-learning-based facial-feature-point detection technique, the authors construct a proprietary facial-trustworthiness database for a large-scale of CEOs in the US listed companies. First, the authors manually search for qualifying CEO image from websites and annual reports. Second, by following the neuroscience and psychology literature, the authors use the machine-learning-based face detector to identify the facial features in the CEO photos to calculate a rich and reliable set of facial-trustworthiness measures. The authors then construct a composite facial-trustworthiness index for each CEO. After obtaining accounting data, the authors’ final sample comprises 16,201 firm-year observations for 3,186 CEOs in the sample period of 2000-2018.

The results of the authors’ regression analyses show a negative association between board monitoring intensity and CEOs' facial trustworthiness, indicating that board directors may factor CEOs' facial trustworthiness into their monitoring decisions. Moreover, the authors find that these results are mainly driven by CEOs whose tenure is below the third quartile (i.e. eight years). The authors further find stronger results for externally hired CEOs than internally promoted CEOs. Finally, the authors’ results remain robust when using change models or subsample of CEO photos in recent years.

First, to the best of the authors’ knowledge, this is the first study that adopts a large sample to provide systematic evidence on the directors' use of facial trustworthiness. This study extends the literature by documenting the impacts of CEOs' individual characteristics on the board monitoring intensity. Second, the results of this study emphasized the important role of perceptions based on executives' facial appearance in firm valuation, executive compensation and audit fee, and by presenting empirical evidence that CEOs' facial trustworthiness affects board monitoring intensity. Third, this study responds to the call for research on personalized trust by Hsieh et al. (2020).

In an era of global competition, firms need to collaborate for long-term benefits. Researchers have investigated the linkages between supply chain collaboration (SCC), customer satisfaction and loyalty. However, little attention has been paid to these linkages in the home electronics sector. This study attempts to investigate the impacts of SCC on firms' competitive advantage, customer satisfaction and customer loyalty in the home electronics sector of Vietnam.

Besides aggregation of literature review, the authors conducted an experimental study with a sample of 300 customers who bought household electronic appliances in the first six months of 2021 in Hanoi city, Vietnam. In this study, structural equation modelling (SEM) was used to analyse the hypotheses.

The findings indicate that SCC has a positive impact on competitive advantage, increasing customer satisfaction and loyalty in the home electronics sector. Evidence also revealed that competitive advantage can be enhanced through information sharing, decision synchronisation and incentive alignment.

This study can be applied to foster a more effective collaboration approach amongst supply chain members in the household electronic appliances sector, which, in turn, will increase competitiveness, customer satisfaction and loyalty.

The purpose of the article is to demonstrate how agency theory has been used to address the dynamics involved in supply chain management. It is also dedicated to suggesting an agenda for future research.

We performed an integrative literature review, based on the process detailed by Botelho et al. (2011), with search filters. The articles were obtained from the Scopus and Web of Science databases using the keywords “supply chain” and “agency theory”, with a subsequent analytical filter for “management”. The search initially identified 205 articles. After two screenings, 56 articles were selected for analysis.

Despite attempts to infer the importance of research on agency theory in supply chain management, its application to the discipline is scarce. Clearly, agency theory provides valuable insights into the relationships in the supply chain. In the studies analyzed, the dynamics of performance, risk, sustainability, dyadic and inter-firm relationships, and supplier management are predominant.

When considering unwanted behaviors throughout the supply chain, agency theory fills the explanatory gaps for these facts. It also proves to be a useful tool to answer mainly the dilemmas of underlying theories, such as transaction cost theory, resource-based view and network theory. Rare are the studies that examine the current state of the application of agency theory in the supply chain literature in the management field.

The purpose of this paper is to present a review of the literature on two lines of research, corporate governance and innovation, explaining how different internal corporate governance mechanisms may be determinants of business innovation.

It explores the theoretical background and the empirical evidence regarding the influence of both ownership structure and the board of directors on company innovation. Then, conclusions are drawn and possible future research lines are presented.

No consensus was observed regarding the relation between corporate governance and innovation, with both positive and negative arguments being found, and with empirical evidence not always pointing in the same direction. Thus, new studies trying to clarify this relationship are needed.

Over recent years, interest has grown in the influence of governance mechanisms on innovation decisions taken by the management. Innovation efforts and results depend on factors that are influenced by corporate governance, such as ownership structure or the functioning of the board of directors. Thus, the paper shows an updated state of the art in this field proposing future lines for empirical research.

This paper aims to analyze the benefits of the blockchain to the circular economy (CE), which is composed of both closed-loop supply chain (CLSC) systems and reverse omnichannel solutions. By ensuring transparency, traceability, visibility and security, the blockchain allows firms to acquire operational capabilities through a CLSC and service capabilities through a reverse omnichannel, which can boost business performance considerably. The related network of relationships can be reinforced by establishing incentives, which entail both smart contracts in the blockchain and active return approaches in CE.

After identifying the boundaries of the theoretical framework, several research hypotheses are developed according to the literature review and emerging gaps. These gaps link to the impact of the blockchain on CE systems (CLSC and reverse omnichannel), as well as the influence on business performance. The hypotheses are then tested using structural equation modeling and adopting a partial least squares-path modeling technique on a dataset composed of 157 firms. Finally, multigroup analysis is used to test the impact of incentives on the research hypotheses.

The blockchain facilitates a more efficient CE system, although reverse omnichannel solutions seldom bring any benefits to performance. The shift from a passive to an active return approach must be carefully evaluated. The CLSC network can benefit from an active return approach by developing appealing incentives for collectors and enhancing the positive effects of the blockchain. In contrast, consumer incentives can have detrimental effects on the blockchain. Various combinations of incentives can only bring a few business performance increases, while collector incentives are vital to reinforce the CE system's operational and service capabilities.

This paper takes a new approach toward the study of CE, which considers a dual circular system composed of a CLSC and a reverse omnichannel. The research explores whether the adoption of blockchain technology enables better return processes by improving the operations in CLSC and services in reverse omnichannel. Finally, this is the first empirical work to evaluate the benefits emerging from incentives, which can activate smart contracts in the blockchain and enable active return approaches in CE.

The purpose of this study is to examine the moderating role of the characteristics of the chief executive officer (CEO) on the association between CEO power and corporate social responsibility (CSR) performance.

This paper conducts multiple regression analyses to empirically test the proposed hypotheses based on a sample of US-based publicly held companies. The sample period extends from 2000 to 2018. Firm-level CSR ratings are obtained from the Kinder, Lydenberg and Domini (KLD) database (currently known as MSCI ESG STATS). Financial data and CEO data are retrieved from Compustat and ExecuComp databases, respectively. Additional test and robustness analysis are performed.

This paper shows that firms with more powerful CEOs are less likely to engage in CSR activities. The negative association between CEO power and CSR is found to be exacerbated by CEOs who are younger, more competent and overconfident; however, this negative association is mitigated by CEOs who are female. This paper also finds that gender plays a more important role among CEO characteristics. Collectively, the findings highlight the potential opportunities to better understand the role of various CEO characteristics that jointly affect CSR.

First, this is the first study providing a comprehensive empirical analysis of how various CEO characteristics jointly affect CSR. Prior studies that focus on standalone CEO characteristics offer an incomplete picture of the relation between a single CEO characteristic and a firm's CSR performance. The current study thus extends the research field by examining the association between seemingly unrelated CEO characteristics and CSR performance. The results also highlight that gender is the critical factor moderating the relationship between CEO power and CSR performance when it is compared with CEO age, ability and overconfidence. Second, the authors add to the literature on employee selection by showing that female CEOs mitigate the negative effect of managerial power on CSR performance. Although the currently available empirical research in management control systems focuses on ex-post analyses of moral hazard mitigation for incumbent employees, both the economics and management literature acknowledge ex ante evidence suggesting that employee selection is even more important. Our findings may provide insight into the selection of CEOs.

Based on stakeholder, agency and institutional theory, this study aims to examine the role of institutional ownership in the relationship between environmental, social and governance practices and CEO compensation.

Utilizing a fixed-effect panel regression analysis, this research utilized a panel data approach, analyzing data spanning from 2014 to 2021, focusing on US companies listed on the S&P500 stock market index. The dataset encompassed 219 companies, leading to a total of 1,533 observations.

The analysis identified that environmental scores significantly impact CEO equity-linked compensation, unlike social and governance scores. Additionally, it was found that institutional ownership acts as a moderating factor in the relationship between the environmental score and CEO equity-linked compensation, as well as the association between the social score and CEO equity-linked compensation. Interestingly, the direction of these moderating effects varied between the two relationships, suggesting a nuanced role of institutional ownership.

This research makes a unique contribution to the field of corporate governance by exploring the relatively understudied area of institutional ownership's influence on the ESG practices–CEO compensation nexus.

To determine how to best deploy the Triple-A supply chain (SC) capabilities (AAA-agility, adaptability and alignment) to improve competitive advantage (CA) by identifying the Triple-A SC model with the highest CA predictive capability.

Assessment of in-sample and out-of-sample predictive capacity of Triple-A-CA models (considering AAA as individual constructs) to find which has the highest CA predictive capacity. BIC, BIC-Akaike weights and PLSpredict are used in a multi-country, multi-informant, multi-sector 304 plant sample.

Greater direct relationship model (DRM) in-sample and out-of-sample CA predictive capacity suggests DRM's greater likelihood of achieving a higher CA predictive capacity than mediated relationship model (MRM). So, DRM can be considered a benchmark for research/practice and the Triple-A SC capabilities as independent levers of performance/CA.

DRM emerges as a reference for analysing how to trigger the three Triple-A SC levers for better performance/CA predictive capacity. Therefore, MRM proposals should be compared to DRM to determine whether their performance is significantly better considering the study's aim.

Results with our sample justify how managers can suitably deploy the Triple-A SC capabilities to improve CA by implementing AAA as independent levers. Single capability deployment does not require levels to be reached in others.

First research considering Triple-A SC capability deployment to better improve performance/CA focusing on model's predictive capability (essential for decision-making), further highlighting the lack of theory and contrasted models for Lee's Triple-A framework.

The purpose of this paper is to analyze the conceptual framework about human resources downsizing and restructuring and how organizations of the public sector can do that effectively and efficiently. These facts drive to the conclusion that the implementation of early retirement incentives requires the most elaborate planning and execution to be effective, predictable and safe in the long term.

This paper adopts an analytical, descriptive methodology approach to describe the basic features of the data by using the descriptive research design. Data have been collected through different sources, which include secondary data, to introduce the theoretical literature of the subject as books, journals, articles, published working papers and referred previous studies related to the same subject.

Downsizing process is a deliberate administrative process that includes, but is not limited to, workforce reduction and is primarily aimed at achieving efficiency in public organizations. The definition of workforce downsizing may be narrowed to reducing the number of workers, or more likely to refer to general efforts to restructuring human resources in public organizations, Early Retirement Incentive Programs (ERIP) represents a viable alternative for organizations seeking to reduce staff. For the ERIP to be successful, the program coordinator must understand the business objectives and goals that the organization is trying to obtain.

Human resources strategies concerning downsizing public administration workforce should be more appropriate to those who leave the organization and those who stay at work, reducing the negative psychological, administrative and economical effects. This could be achieved through a strategy called early retirement incentive programs.

This paper aims to present an analysis of the role of financial incentives, moral hazard and conflicts of interests leading up to the 2008 financial crisis.

The study’s analysis has identified common structural flaws throughout the securitization food chain. These structural flaws include inappropriate incentives, the absence of punishment, moral hazard and conflicts of interest. This research sees the full impact of these structural flaws when considering their co-occurrence throughout the financial system. The authors address systemic defects in the securitization food chain and examine the inter-relationships among homeowners, mortgage originators, investment banks and investors. The authors also address the role of exogenous factors, including the SEC, AIG, the credit rating agencies, Congress, business academia and the business media.

The study argues that the lack of criminal prosecutions of key financial executives has been a key factor in creating moral hazard. Eight years after the Great Recession ended in the USA, the financial services industry continues to suffer from a crisis of trust with society.

An overwhelming majority of Americans, 89 per cent, believe that the federal government does a poor job of regulating the financial services industry (Puzzanghera, 2014). A study argues that the current corporate lobbying framework undermines societal expectations of political equality and consent (Alzola, 2013). The authors believe the Singapore model may be a useful starting point to restructure regulatory agencies so that they are more responsive to societal concerns and less responsive to special interests. Finally, the widespread perception is that the financial services sector, in particular, is ethically challenged (Ferguson, 2012); perhaps there would be some benefit from the implementation of ethical climate monitoring in firms that have been subject to deferred prosecution agreements for serious ethical violations (Arnaud, 2010).

The authors believe the paper makes a truly original contribution. They provide new insights via their analysis of the role of financial incentives, moral hazard and conflicts of interests leading up to the 2008 financial crisis.