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To achieve sustainable development objectives, managers are encouraged to implement best practices in corporate social and environmental responsibility within their establishments. The main objective of this chapter is to assess the quality of environmental, social, and governance (ESG) communication for Moroccan financial institutions. This chapter is devoted to the content analysis of the annual reports of 14 financial institutions listed in Morocco regarding ESG strategies between 2017 and 2021. The reference assessment tool we used is the Global Reporting Initiative (GRI) standards (2016), based on six principles. Each principle contains requirements and guidance on how to apply it. These principles are summarized in the following: Accuracy, Balance, Clarity, Comparability, Reliability, and Timeliness. The sample is composed of 14 financial institutions listed on the Casablanca Stock Exchange. After checking the content of the annual reports of listed Moroccan financial institutions, we detected several shortcomings in Corporate Social Responsibility (CSR) reporting behavior. Companies avoid disclosing information about negative events and performance. We saw this as a bad sign for stakeholders. The results showed a significant gap between the GRI standards and the content of the annual reports. These weaknesses mainly concern accuracy, comparability, and, timeliness, hence the need to carry out corrective measures to improve the quality of ESG practices within Moroccan financial institutions. One of the limitations of this research is its focus on financial institutions. However, it is possible to broaden the scope of the research by assessing the quality of ESG communication for nonfinancial companies.

First-line leaders across the emergency services are instrumental in leading the development of a workforce fit to face current and future challenges. As such in addition to utilising their specific craft, leaders need to be equipped to understand and apply evidence-based practices. With a focus on first-line leadership in policing, this paper will have both national and international resonance for those organisations attempting to embed an evidence-based culture.

The paper utilises a review of literature to develop a viewpoint identifying challenges and benefits of the adoption of evidence-based policing (EBP) by first-line leaders.

First-line leaders, whether police officers, police staff or volunteers, require opportunities to develop their own knowledge, understanding and skills of applying EBP in the workplace. Acknowledging challenges exist in the widespread adoption of EBP, such learning, at the appropriate educational level, will enable leaders to effectively champion the adoption of EBP, informing both their own decision-making and professional practices as well as those across their teams.

The first-line leader role is highly influential, as such, it is essential that these leaders develop their knowledge, understanding and application of EBP in the workplace in order to lead the expected cultural change.

This paper provides a current framework for the understanding of the context and potential impact of educationally levelled formal leadership learning required to champion the broad adoption of EBP across policing.

Online employee reviews have emerged as a crucial information source for business managers to evaluate employee behavior and firm performance. The purpose of this paper is to test the relationship between employee personality traits, derived from online employee reviews and job satisfaction and turnover behavior at the individual level.

The authors apply text-mining techniques to extract personality traits from online employee reviews on Indeed.com based on the Big Five theory. They also apply a machine learning classification algorithm to demonstrate that incorporating personality traits can significantly enhance employee turnover prediction accuracy.

Personality traits such as agreeableness, conscientiousness and openness are positively associated with job satisfaction, while extraversion and neuroticism are negatively related to job satisfaction. Moreover, the impact of personality traits on overall job satisfaction is stronger for former employees than for current employees. Personality traits are significantly linked to employee turnover behavior, with a one-unit increase in the neuroticism score raising the probability of an employee becoming a former employee by 0.6%.

These findings have implications for firm managers looking to gain insights into employee online review behavior and improve firm performance. Online employee review websites are recommended to include the identified personality traits.

This study identifies employee personality traits from automated analysis of employee-generated data and verifies their relationship with employee satisfaction and employee turnover, providing new insights into the development of human resources in the era of big data.

Drawing on the pay-for-performance (P4P) and job satisfaction literatures through an analysis of qualitative studies published on the topic, the purpose of this study is to investigate the effect of a P4P-based system on job satisfaction and dissatisfaction among health care workers.

A meta-synthesis of the qualitative literature was conducted to investigate health care workers' opinions, perceptions and behaviors and fully understand what processes generate job satisfaction or dissatisfaction under P4P systems.

The findings suggest that P4P systems impact the job (dis-)satisfaction of health care workers based on the institutional, organizational, geographic and cultural context of reference. Specifically, job satisfaction – and thus motivation, occupational well-being and work engagement – can occur when the context is supportive, whereas job dissatisfaction – and thus work stress and pressure, burnout and work-life balance issues and distraction – is generated in the case of unsupportive contexts. Moreover, the findings suggest a virtuous/vicious circle whereby job satisfaction leads to positive performance and further fuels job satisfaction, while conversely job dissatisfaction generates worse performance, and this further worsens worker satisfaction.

There is a lack of studies comparing and analyzing current evidence on the job (dis-)satisfaction of health care workers operating in different contexts based on the reward system. This is the first research to analyze a significant number of studies with reference to the relation between P4P and job (dis-)satisfaction, which are topics in need of further study and investigation in health care settings around the world.

The purpose of this paper is to develop a prototype of a wearable medical device in the form of a bandage with a real-time data monitoring platform, which can be used domestically for diabetic patients to identify the possibility of foot ulceration at the early stage.

The prototype can measure blood volumetric change and temperature variation in the forefoot area simultaneously. The waveform extracted using a pulsatile-blood-flow signal was used to assess blood perfusion-related information, and hence, predict ischemic ulcers. The temperature difference between ulcerated and the reference was used to predict neuropathic ulcers. The medical device can be used as a bandage during the application wherein the sensory module is placed inside the hollow pocket of the bandage. A platform was developed through a mobile application where doctors can extract real-time information, and hence, determine the possibility of ulceration.

The height of the peaks in the pulsatile-blood-flow signal measured from the subject with foot ischemic ulcers is significantly less than that of the subject without ischemic ulcers. In the presence of ischemic ulcers, the captured waveform flattens. Therefore, the blood perfusion from arteries to the tissue of the forefoot is considerably low for the subject with ischemic ulcers. According to the temperature difference data measured over 25 consecutive days, the temperature difference of the subject with neuropathic ulcers occasionally exceeded the 4 °F range but mostly had higher values closer to the 4 °F range. However, the temperature difference of the subject who had no complications of neuropathic ulcers did not exceed the 4 °F range, and the majority of the measurements occupy a narrow range from −2°F to 2 °F.

The proposed prototype of wearable medical apparatus can monitor both temperature variation and pulsatile-blood-flow signal on the forefoot simultaneously and thereby predict both ischemic and neuropathic diabetes using a single device. Most importantly, the wearable medical device can be used domestically without clinical assistance with a real-time data monitoring platform to predict the possibility of ulceration and the course of action thereof.