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Sustainable practices are the modern-day necessities for organisations as the world is becoming highly dynamic. The purpose of this study is to examine the influence of sustainable training and creativity practices (STP and SCP) on organisational citizenship behaviour (OCB-individual and OCB-organisation) via the mediating role of psychological contract fulfilment (PCF).

A sample of 326 white-collar Indian service industry employees was collected. The data are analysed using structural equation modelling and random forest regression supervised learning (RFRSL).

The findings indicate that sustainable training practices (STP) had an indirect impact on organisational citizenship behaviour (OCB-I, OCB-O) via the mediating effect of transactional (T-PCF) and relational psychological contract fulfilment (R-PCF). In terms of sustainable creative practices (SCP), the impact on OCB-I was indirect due to T-PCF. In addition, R-PCF acts as a mediator between SCP and OCB-O. In the latter portion of the analysis, the RFRSL approach created a prediction model for T-PCF, R-PCF, OCB-I and OCB-O, with demographic characteristics such as industry experience, gender, age, etc. playing a constructive role.

The study conducts a combination of both traditional and newer technology (machine learning), resulting in highlighting the uniqueness of the relationship between variables and the role of demographic variables.

The complexity of citizenship behavior in organizations has long been a focus of research. Traditional methodologies have been predominantly used to address this complexity. This paper aims to tackle the problem using a cutting-edge technological tool: business process mining. The objective is to enhance citizenship behaviors by leveraging primary data collected from 326 white-collar employees in the Indian service industry.

The study focuses on two main processes: training and creativity, with the ultimate goal of fostering organizational citizenship behavior (OCB), both in its overall manifestation (OCB-O) and its individual components (OCB-I). Seven different machine learning algorithms were used: artificial neural, behavior, prediction network, linear discriminant classifier, K-nearest neighbor, support vector machine, extreme gradient boosting (XGBoost), random forest and naive Bayes. The approach involved mining the most effective path for predicting the outcome and automating the entire process to enhance efficiency and sustainability.

The study successfully predicted the OCB-O construct, demonstrating the effectiveness of the approach. An optimized path for prediction was identified, highlighting the potential for automation to streamline the process and improve accuracy. These findings suggest that leveraging automation can facilitate the prediction of behavioral constructs, enabling the customization of policies for future employees.

The findings have significant implications for organizations aiming to enhance citizenship behaviors among their employees. By leveraging advanced technological tools such as business process mining and machine learning algorithms, companies can develop more effective strategies for fostering desirable behaviors. Furthermore, the automation of these processes offers the potential to streamline operations, reduce manual effort and improve predictive accuracy.

This study contributes to the existing literature by offering a novel approach to addressing the complexity of citizenship behavior in organizations. By combining business process mining with machine learning techniques, a unique perspective is provided on how technological advancements can be leveraged to enhance organizational outcomes. Moreover, the findings underscore the value of automation in refining existing processes and developing models applicable to future employees, thus improving overall organizational efficiency and effectiveness.

The purpose of this paper is to examine the effectiveness of the “Made in China, Made with the World” advertisement broadcast on the US television station CNN in 2009 and derives recommendations for China's further efforts in promoting the image of products made in China (PMC).

Through a survey based on the Solomon four‐group design, this study collected primary data from 546 students at an American university in 2010 and used the data to test the effectiveness of the CNN advertisement and identify factors that affect the respondents' perceptions about PMC.

Statistical tests indicate that the TV advertisement did not result in the expected effects and even had some boomerang effects on the perceptions about PMC and China's developments, and regression analysis confirms these conclusions. Also, the TV advertisement received low ratings from the respondents in credibility, trustworthiness, rationality, information, stimulation, and excitability.

As exports continue to play an important role in the Chinese economy and PMC are likely to face more challenges in the global markets, China needs to understand both consumer preferences and product safety regulations in the foreign markets, focus more on quality and safety over low prices, and improve the effectiveness of its promotion efforts on the basis of scientifically sound studies.

While the CNN TV advertisement was China's first TV campaign abroad to enhance the image of PMC, this paper presents one of the first studies for assessing the effectiveness of the advertisement and deriving recommendations for China's further efforts in promoting PMC.

The purpose of this study is to examine the effects of chief financial officer (CFO) gender, board gender diversity and the interaction of both factors on financial reporting quality (FRQ) proxied by restatements.

Restatements indicate inaccurate financial reporting. The authors use fixed effects conditional logistic regression models to compare firms with and without restatements matched by size, industry and year. The authors’ unique matched–pair sample consists of 546 listed US firms from the period 2005–2016.

The authors’ results provide evidence that restatements are less likely when the CFO is a woman and when a higher proportion of women serve on the board of directors (BOD). Considering the interaction effects, the authors find evidence that women on the BOD are more effective at reducing restatement likelihood when the CFO is also a woman. And that although female CFOs reduce restatement likelihood generally, they have no statistically significant effect on restatement likelihood when the BOD is all-male.

To the best of the authors’ knowledge, this study is the first that the authors know of to consider how FRQ is affected by the interaction effects of CFO gender and board gender diversity. The findings corroborate upper echelons theory and extend the understanding of the effects of managerial gender diversity at a time when firms face growing pressure to increase gender diversity at the highest levels. The unique sample, methodology and findings provide new insights into the impact of gender on FRQ that has important policy implications.

The purpose of this paper is to explore the impact of the mechanisms of corporate governance on the volatility of companies’ financial profitability.

For the period 2002-2014, the authors evaluate the relations linking various indices involved in corporate governance with the systematic risk supported by these companies for a sample of 355 firms domiciled in Europe. To empirically test these relationships, the authors calculated a synthetic index of corporate governance quality (QGI) based on the 53 items of assessment of the companies’ governance proposed by the database ASSET4. Following the method used by Boncori et al. (2016), the authors first reduced the number of dimensions of corporate governance by performing a principal component analysis of the sample, which resulted in the following five components: management’s shareholder commitment, shareholder rights, characteristics of the board of directors, transparency of the financial information and independence of the audit.

The results of the tests indicate that the synthetic index of governance that the authors have built is only significant at the 10 percent threshold. The impact of this variable on the systematic risk of the company is of the order of one-tenth of a point. The decomposition of this index into five variables shows that management’s commitment to shareholders and the effectiveness of the board of directors in carrying out its supervisory tasks are likely to reduce, but again to a limited extent, the risk borne by the company.

This observation guides the future work in introducing variables that reflect the social responsibilities of the companies in the sample in order to distinguish the effects of social responsibility from those of purely shareholder-oriented governance on systematic risk.

This paper demonstrates the interest of good governance on the risk of firms and identifies certain characteristics upon which to act.

Although the relations between corporate governance mechanisms and profitability expectations have been the subject of numerous studies, few authors have examined the influence of governorship on the volatility of this profitability, particularly in Europe. To the best of the authors’ knowledge, the rare work on this topic relates to only a limited number of countries.