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This study aims to assess the effect of job insecurity, customer incivility and work–life imbalance on Lebanese bank employee workplace well-being (EWW), while investigating the moderating role that positive and negative affect might have.

Quantitative data was collected from 202 respondents and analyzed using structural equation modeling system through IBM SPSS and AMOS.

Results revealed that each of the independent variables has a negative, statistically significant effect on Lebanese bank EWW. The positive affect and the negative one are shown to have a moderating effect that lessens and boosts, respectively, these negative effects.

The study adds to the literature on EWW while highlighting the high-power distance and collectivist society that the research took place in.

Limitations include the sample size that was hoped to be larger, in addition to the self-reporting issue and what it entails in the data collection process.

The study has many practical implications, including the validation of a questionnaire in a developing Arab country, hence providing a reliable tool for researchers. HR specialists should lean toward applicants with positive affect, ensuring that their workplace is occupied by members with enhanced resilience. Furthermore, employers should support their employees’ professional growth, thus, boosting their employability during turmoil and consequently making them less vulnerable in times of economic recession.

The study’s unique context, depicted in the harsh economic and financial crisis, makes the findings on EWW of a high value.

Road traffic emissions are generally believed to contribute immensely to air pollution, but the effect of road traffic data sets on air quality (AQ) predictions has not been fully investigated. This paper aims to investigate the effects traffic data set have on the performance of machine learning (ML) predictive models in AQ prediction.

To achieve this, the authors have set up an experiment with the control data set having only the AQ data set and meteorological (Met) data set, while the experimental data set is made up of the AQ data set, Met data set and traffic data set. Several ML models (such as extra trees regressor, eXtreme gradient boosting regressor, random forest regressor, K-neighbors regressor and two others) were trained, tested and compared on these individual combinations of data sets to predict the volume of PM_2.5, PM₁₀, NO₂ and O₃ in the atmosphere at various times of the day.

The result obtained showed that various ML algorithms react differently to the traffic data set despite generally contributing to the performance improvement of all the ML algorithms considered in this study by at least 20% and an error reduction of at least 18.97%.

This research is limited in terms of the study area, and the result cannot be generalized outside of the UK as some of the inherent conditions may not be similar elsewhere. Additionally, only the ML algorithms commonly used in literature are considered in this research, therefore, leaving out a few other ML algorithms.

This study reinforces the belief that the traffic data set has a significant effect on improving the performance of air pollution ML prediction models. Hence, there is an indication that ML algorithms behave differently when trained with a form of traffic data set in the development of an AQ prediction model. This implies that developers and researchers in AQ prediction need to identify the ML algorithms that behave in their best interest before implementation.

The result of this study will enable researchers to focus more on algorithms of benefit when using traffic data sets in AQ prediction.

In this study, to empirically test the relationship between ethical organizational climate, inner life (IL) and life satisfaction (LS) of employees, a field study was conducted on white-collar personnel working in the service sector in the Istanbul region. The main purpose was to extract an approach that could be applied to simultaneously boost LS and customer orientation for effective service delivery by organizations.

A two-wave time-lagged survey design was used to collect the data over a period of three months. Two sets of self-administrated survey questionnaires were developed for both waves, containing the details of the study and items for measuring variables. The questionnaires were developed in such a manner that the anonymity of the respondents and ethical considerations remained intact. In the first wave, data were collected for two variables, i.e. organizational ethical climate and IL. The measurement scale for organizational ethical climate was adapted from the study of DeBode et al. (2013) and for IL from the study of Fry et al. (2017). In the second wave, data on the remaining two variables (LS and organizational customer orientation) were collected. Direct effects and indirect effects in the hypotheses were tested by structural equation modeling (SEM).

This study has found that the organizational ethical climate strengthens the inner lives of employees, which is vital for the organizations from two angles: one, strong IL of an employee enhances his/her own LS and two, stronger IL accentuates customer orientation.

The fact that the context of this study is limited to Turkey and that the participants are selected from among white-collar personnel working in the service sector reduces the representativeness of the research result. In this sense, in the next stages, the model of the research can be retested in different industries or cross-cultural studies can be designed by comparing the study results with samples from different geographies, so that the validity of these relations for different cultures can be seen.

The implications of this study revealed that employees will enjoy their lives more when authorities in organizations adopt organizational policies supporting the inner lives of employees, feel respect for their private areas and make the organizational climate more ethical. Hence, with practices such as workplace spirituality or spiritual leadership that support the inner lives of employees, the motivation and satisfaction of employees can be increased.

This study revealed that inner life strength makes people comparative more ethical in their dealings, which gives them a sense of achievement and enhances work meaningfulness, boosting LS and customer-orientation. The findings of this study are vital for leaders, as they can achieve a conjoint elevation of the LS of their employees and enhance customer orientation for higher organizational performance.

This study is original in emphasizing the positive effect of spiritually powerful inner-life customer-orientedness in employees with empirical proof.

This paper aims to explore how HR leaders can help their managers ditch the traditional command-and-control leadership style and instead adopt an enquiry-led management approach – Operational Coaching^®. This approach helps managers to develop coaching-related behaviours in their day-to-day interactions with teams, to cultivate a culture that is more collaborative, inclusive and innovative with measurable improvements in engagement, productivity and performance.

Responding to the UK’s woeful productivity and employee engagement levels, the Government sponsored a large-scale academic research study (designed, conducted and independently evaluated by the London School of Economics, LSE) to assess the impact of managers learning to use an Operational Coaching^® style of management. Managers in 62 organisations across 14 sectors worked through a learning programme designed to build managers’ confidence in using intentional enquiry as a part of their everyday management style.

LSE proved, statistically significantly, that managers increased the amount of time they spent coaching their team members by an average of 70% and generated a 74 times return on investment. LSE also noted that intervention group organisations indicated a positive sixfold improvement in employee retention than in control group organisations.

When managers learn to use an Operational Coaching^® style of management in their day-to-day work with others, it allows them to learn how to challenge, support and grow the capabilities of their team members in ways that measurably benefit the individual and the organisation. Colleagues are more engaged, recognised and rewarded. As their competency and confidence grows, managers are released from aspects of their to-do lists and are able to invest even more attention towards coaching their team members.