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The aim of this study is to reveal the effects of “safety climate” on “productive organizational energy”, based on the idea that higher energy and productivity will be seen in employees with the improved safety climate in the working environment.

In this study, data were collected using an online questionnaire from 426 employees of small and medium-sized textile enterprises in the Organized Industrial Zone in the Turkish province of Gaziantep. The “easy sampling” method was applied, one of the sampling techniques not based on probability. Multiple linear regression analysis was used to examine the effects of the “Management's perspectives and rules” and “Colleagues and safety trainings” sub-dimensions of the safety climate on the “emotional”, “cognitive” and “behavioral” components of productive energy.

The findings showed that the safety climate in the workplace positively and significantly affects the productive organizational energy of employees. In addition, it was observed that the management's perspective and rules had a higher impact on productive organizational energy in attitudes towards the safety climate and productive energies of these employees compared to safety pieces of training.

First of all, the result of this study and the positive results that the safety climate in organizations might cause have been noted. It has been demonstrated that the productive energies of the employees will increase if the necessary safety climate is established in the enterprises. In addition, despite the importance attached to the safety training of the employees, as a result of the analysis, it has been determined that the management's perspective and rules (ß = 0.61; p < 0.01) have a higher positive effect on the productive energy of the employees. If these situations are considered by the managers, it is expected that the occupational health and safety management strategies created for the employees will contribute to the formation of positive behaviors in the employees.

The driving force of the present study is that, to our knowledge, there has been no research on this issue related to employees who are mentioned as a critical force in solving productivity and whose number is about 26 million in Turkey's population.

Due to the fact that most individuals tend to engage in some form of procrastination, it is important for organizations to investigate this phenomenon. The purpose of this study is to explore the impact of family–work conflict, grit, engagement and emotional exhaustion on productive procrastination for business-to-business salespeople. These specific antecedents are used to better understand what leads a salesperson to engage in productive procrastination in the workplace.

Using a Qualtrics panel, 305 business-to-business salespeople were surveyed to investigate what factors lead a salesperson to engage in productive procrastination. These salespeople were from a variety of industries to increase generalizability. All measures were taken from the extant literature. Partial least squares structural equation modeling was used to analyze the data.

Using the job demands-resources model as the framework, the results indicate that the type of engagement has a differential impact on a salesperson’s usage of productive procrastination such that cognitive engagement has a negative impact while emotional engagement has a positive impact on productive procrastination. Emotional exhaustion and family–work conflict lead to productive procrastination but grit minimizes productive procrastination usage.

To the best of the authors’ knowledge, this study is one of the first to explore the positive aspects of procrastination among salespeople. Specifically, this study focuses on productive procrastination and its antecedents. Relevant managerial implications that can help organizations better understand productive procrastination are discussed and examples are provided.

This chapter of the book seeks to use famous mathematical functions (statistical distribution functions) in evaluating and analyzing supply chain network data related to supply chain management (SCM) elements in organizations. In other words, the main purpose of this chapter is to find the best-fitted statistical distribution functions for SCM data. Explaining how to best fit the statistical distribution function along with the explanation of all possible aspects of a function for selected components of SCM from this chapter will make a significant attraction for production and services experts who will lead their organization to the path of competitive excellence. The main core of the chapter is the reliability values related to the reliability function calculated by the relevant chart and extracting other information based on other aspects of statistical distribution functions such as probability density, cumulative distribution, and failure function. This chapter of the book will turn readers into professional users of statistical distribution functions in mathematics for analyzing supply chain element data.

This research aims to investigate critical success factors, barriers and initiatives of total productive maintenance (TPM) implementation in selected manufacturing industries in Addis Ababa, Ethiopia.

This study built and looked into a conceptual research framework. The potential barriers and success factors to TPM implementation have been highlighted. The primary study techniques used to collect relevant data were a closed-ended questionnaire and semi-structured interview questions. With the use of SPSS version 23 and SmartPLS 3.0 software, the data were examined using descriptive statistics and the inferential Partial Least Square Structural Equation Modeling (PLS-SEM) techniques.

According to the results of descriptive statistics and multivariate analysis using PLS-SEM, the case manufacturing industries' TPM implementation initiative is in its infancy; break down maintenance is the most widely used maintenance policy; top managers are not dedicated to the implementation of TPM; and there are TPM pillars that have been weakly and strongly addressed by the case manufacturing companies.

The small sample size is a limitation to this study. It is therefore challenging to extrapolate the research findings to other industries. The only manufacturing KPI utilized in this study is overall equipment effectiveness (OEE). It is possible to add more parameters to the manufacturing performance measurement KPI. The relationships between TPM and other lean production methods may differ from those observed in this cross-sectional study. Longitudinal experimental studies and in-depth analyses of TPM implementations may shed further light on this.

Defining crucial success factors and barriers to TPM adoption, as well as identifying the weak and strong TPM pillars, will help companies in allocating their scarce resources exclusively to the most important areas. TPM is not a quick solution. It necessitates a change in both the company's and employees' attitude and their values, which takes time to bring about. Hence, it entails a long-term planning. The commitment of top managers is very important in the initiatives of TPM implementation.

This study is unique in that, it uses a new conceptual research model and the PLS-SEM technique to analyze relationships between TPM pillars and OEE in depth.

This study emphasises the importance of employee participation in total productive maintenance and identifies the key factors influencing employee participation. The Motivation-Opportunity-Ability (MOA) framework is adopted to identify and categorise key factors.

An embedded case study with a power plant service provider in England was conducted with a variety of research methods, for example interviews and questionnaire surveys, to gain a wide range of data.

Following the MOA framework, this study shows various key aspects of employees' motivation, opportunity and ability when participating in total productive maintenance. It also compares first-line machine operators and maintenance specialists in terms of the drivers and barriers to total productive maintenance for them, and reveals that they need different mechanical skills in order to participate in total productive maintenance.

The study extends the applications of the MOA framework to total productive maintenance initiatives and provides managers with guidance on how to correctly consider and prioritise employee participation in their implementation. Moreover, this is the first study to identify differences between first-line machine operators and maintenance specialists, in terms of their willingness to participate in total productive maintenance.

The chemical plant (CP) maintenance industry has been under increasing pressure by process designers to demonstrate its evaluation and information management of model checking (MC) on the durability’s performance and design of plant control instrument. This main problem has been termed as imperfect maintenance actions (IMAs) level. Although IMAs have been explored in interdisciplinary maintenance environments, less is known about what imperfect maintenance problems currently exist and what their causes are, such as the recent explosion in the Beirut city (4 August 2020, about 181 fatalities). The aim of this paper is to identify how CP maintenance environments could integrate MC within their processes.

To achieve this aim, a comprehensive literature review of the existing conceptualisation of MC practices is reviewed and the main features of information and communication technology tools and techniques currently being employed on such IMA projects are carried out and synthesised into a conceptual framework for integrating MC in the automation system process.

The literature reveals that various CP designers conceptualise MC in different ways. MC is commonly shaped by long-term compliance to fulfil the requirement for maintaining a comfortable durability risk on imperfect maintenance schemes of CP projects. Also, there is a lack of common approaches for integrating the delivery process of MC. The conceptual framework demonstrates the importance of early integration of MC in the design phase to identify alternative methods to cogenerate, monitor and optimise MC.

Thus far, this study advances the knowledge about how CP maintenance environments can ensure MC delivery. This paper highlights the need for further research to integrate MC in CP maintenance environments. A future study could validate the framework across the design phase with different CP project designers.

This paper aims to investigate the behaviour determinants towards cash waqf for productive purposes between two different classes of Muslims: the upper-middle class and the lower-middle class.

Under the Theory of Planned Behavior framework, this study modified previous literature to investigate the determinants of two Muslim classes’ behaviour towards cash waqf for productive purposes. A structural equation model was applied to test the hypothesis, and an in-depth interview was conducted to explain the findings further.

The behaviour of participating in cash waqf for productive purposes differs between the two Muslim segments. Upper-middle-class Muslims’ intentions will not necessarily consider subjective norms, even though they will consider religiosity as their deciding factor. Meanwhile, this study found different results on the influence of attitude, religiosity and subjective norms to intention in the lower-middle-income group. Other attributes such as perceived behaviour control, knowledge, trust and perceived benefits show positive and significant effects on the intention for both income classes of Muslims.

The current findings may not accurately reflect ideal conditions due to the low level of waqf literacy and actual participation of Muslims in cash waqf for productive purposes. Researchers can conduct further studies based on other criteria, such as gender, age, education level or area of residence, using experimental or simulation methods to complement the research.

This study’s findings can support policymakers and related waqf stakeholders to set strategies for cash waqf literacy and participation by providing more detailed information about the differences in Muslims characteristics based on the income classes.

This study specifically modifies the behavioural framework to investigate differences in the behaviour of two classes of Muslims towards their participation in cash waqf for productive purposes in Indonesia.

Maintenance represents an indispensable role in the productive sector of the steel industry. The increasing use of operating with a high level of precision makes hydraulic systems one of the issues that require a high level of attention. This study aims to explore an empirical investigation for decreasing the occurrences of corrective maintenance of hydraulic systems in the context of Lean 4.0.

The maintenance model is developed based on action-research methodology through an empirical investigation, with nine stages. This approach aims to build a scenario to analyze and interpret the occurrences, seeking to implement and evaluate the actions to be performed. The undertaken initiatives demonstrate that this approach can be applied to optimize the maintenance of an organization.

The main contribution of this paper is to demonstrate that the applied method allows the overviewing results, with a qualitative approach concerning the maintenance actions and management processes to be considered, allowing a holistic understanding and contributing to the current literature. The results also indicated that Lean 4.0 has direct and mediating effects on maintenance performance.

This research intends to propose an evaluation framework with an interdimensional linkage between action research methodology and Lean 4.0, to explore an empirical investigation and contributing to understanding the actions to reduce the occurrences of hydraulic systems corrective maintenance in a production line in the steel industry.

Considering the significant increase in researchers’ interest in human resource management (HRM) in the public sector domain, this study aims to focus on producing a scale of HRM practices customized for the context of public organizations.

Experts and semantic analysis were performed for the scale development (qualitative stage), and exploratory and confirmatory factor analysis through structural equation modeling was conducted for the scale validation (quantitative stage).

The public HRM practices scale (public HRMPS) is composed of 19 items, distributed along four factors/dimensions, named training, development and education; relationship; work conditions; and competency and performance appraisal. The scale showed evidence of internal and construct validity (convergent, divergent, criterion-related and discriminant), as well as reliability and content validity.

The public HRMPS can be applied in relational studies to test structural models of prediction, mediation and moderation to evaluate relationships with organizational behavior variables, such as leader-members exchange, engagement at work, life quality at work and well-being at work, among others.

The public HRMPS may also serve as a useful diagnostic tool for the decision-making process made by public managers so they can promote a strategic, evidence-based HRM. Furthermore, the transforming role of strategic HRM can be operationalized by adopting practices gathered in the public HRMPS, advancing toward new HRM strategies to promote healthier and more productive work environments.

Healthier and more productive environments translate into real impacts for society, the first beneficiary of public services with more quality, efficiency and accountability.

The public HRMPS is the first attempt to produce an operationally valid and reliable measure to evaluate strategic HRM practices, responding to calls in the literature concerning the need for an integrated, comprehensive and customized HRM practices scale for the public service context.

The aim of this paper states that total productive maintenance (TPM) is an improvement tool which employs the effective utilization of employees in order to enhance the reliability of the equipment in consideration.

This paper identifies and evaluates the factors accountable for the adoption of TPM methodology in manufacturing organizations. Twenty-four factors affecting the TPM implementation are explored and categorized into five significant categories. Afterwards, these identified TPM factors have been evaluated by using a most popular Multi-criteria decision-making (MCDM) approach namely fuzzy pivot pairwise relative criteria importance assessment (F-PIPRECIA).

In this paper, through application of F-PIPRECIA, “Behavioural factor” is ranked first while “Financial factor” the last. Considering the sub-factors, “Top management support and commitment” is ranked first while “Effective use of performance indices” is ranked the last. A further sensitivity analysis indicates the factors that need higher level of attention.

The result of current research work may be exploited by the top administration of manufacturing enterprises for assessing their TPM adoption status and to recognize the frail links of TPM application and improve accordingly. Moreover, significant factors of TPM can be identified and deploy them successfully in their implementation procedure.

The conclusion obtained from this research enables the management to clearly understand the significance of each considered factor on the adoption of TPM in the organization and hence, provides effective utilization of resources.