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This paper aims to provide a comprehensive overview of the challenges and employee development strategies for executives and managers when managing flexible work systems.

The paper takes an employee development perspective to discuss management strategies of flexible work systems. Research findings on the effects of work flexibility through flexible work systems, the challenges and the development strategies that executives and managers can use were reviewed from multi-level perspectives.

The flexible work system is the new normal in the workplace. Lack of social and face-to-face interactions reduces employees’ social learning, jeopardizing managerial justice and weakening the culture. To remain competitive and retain talented employees, executives should reexamine their current employee development strategies and implement new strategies that fit the characteristics of flexible work systems.

To the best of the authors’ knowledge, this is the first comprehensive review of employee development strategies for flexible working arrangements. The paper provides practical guidelines and insights for executives and leaders managing employees under various flexible work systems.

The purpose of this paper is to propose a system dynamic simulated process model for maintenance work management incorporating the Fourth Industrial Revolution (4IR) technologies.

The extant literature in physical assets maintenance depicts that poor maintenance management is predominantly because of a lack of a clearly defined maintenance work management process model, resulting in poor management of maintenance work. This paper solves this complex phenomenon using a combination of conceptual process modeling and system dynamics simulation incorporating 4IR technologies. A process for maintenance work management and its control actions on scheduled maintenance tasks versus unscheduled maintenance tasks is modeled, replicating real-world scenarios with a digital lens (4IR technologies) for predictive maintenance strategy.

A process for maintenance work management is thus modeled and simulated as a dynamic system. Post-model validation, this study reveals that the real-world maintenance work management process can be replicated using system dynamics modeling. The impact analysis of 4IR technologies on maintenance work management systems reveals that the implementation of 4IR technologies intensifies asset performance with an overall gain of 27.46%, yielding the best maintenance index. This study further reveals that the benefits of 4IR technologies positively impact equipment defect predictability before failure, thereby yielding a predictive maintenance strategy.

The study focused on maintenance work management system without the consideration of other subsystems such as cost of maintenance, production dynamics, and supply chain management.

The maintenance real-world quantitative data is retrieved from two maintenance departments from company A, for a period of 24 months, representing years 2017 and 2018. The maintenance quantitative data retrieved represent six various types of equipment used at underground Mines. The maintenance management qualitative data (Organizational documents) in maintenance management are retrieved from company A and company B. Company A is a global mining industry, and company B is a global manufacturing industry. The reliability of the data used in the model validation have practical implications on how maintenance work management system behaves with the benefit of 4IR technologies' implementation.

This research study yields an overall benefit in asset management, thereby intensifying asset performance. The expected learnings are intended to benefit future research in the physical asset management field of study and most important to the industry practitioners in physical asset management.

This paper provides for a model in which maintenance work and its dynamics is systematically managed. Uncontrollable corrective maintenance work increases the complexity of the overall maintenance work management. The use of a system dynamic model and simulation incorporating 4IR technologies adds value on the maintenance work management effectiveness.

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 present a comprehensive analysis on how the advanced work packaging (AWP) managerial paradigm could be advanced by incorporating and integrating the post-construction commissioning and startup (CSU) phases.

This study was implemented with the support of consolidated knowledge from industry subject matter experts and an exhaustive literature review to provide a knowledge foundation for the developments. The findings were further validated and strengthened by external subject matter experts.

A new operating system-oriented work package, systems work package (SWP), is devised with a set of definitions and models of how it relates to AWPs with three-dimensional visualizations. SWP-related constraints, key roles and responsibilities are thoroughly investigated.

A new SWP concept would pose potential challenges for its adoption because of inherent organizational culture and hesitation to change. A systematic reorganization of existing practices is considered as a key strategy to alleviate the limitation, and short- and long-term validity of SWP is currently being investigated by organizations.

This research provides practical implementation strategies on CSU integration which lead to benefits including: better alignment and collaboration of stakeholders, reduced costs for associating AWPs to SWP and improved predictability.

AWP-related studies have primarily focused on the construction phase, with minimal integration of CSU considerations. Highlighting the importance of the philosophy “start with the end in mind,” this research describes how the AWP managerial paradigm can be expanded to include CSU, by placing a strong emphasis on understanding CSU priorities, sequences and constraints.

Electric motor heating during biomass recovery and its handling on conveyor is a serious concern for the motor performance. Thus, the purpose of this paper is to design and develop a hardware prototype of master–slave electric motors based biomass conveyor system to use the motors under normal operating conditions without overheating.

The hardware prototype of the system used master–slave electric motors for embedded controller operated robotic arm to automatically replace conveyor motors by one another. A mixed signal based embedded controller (C8051F226DK), fully compliant with IEEE 1149.1 specifications, was used to operate the entire system. A precise temperature measurement of motor with the help of negative temperature coefficient sensor was possible due to the utilization of industry standard temperature controller (N76E003AT20). Also, a pulse width modulation based speed control was achieved for master–slave motors of biomass conveyor.

As compared to conventional energy based mains supply, the system is self-sufficient to extract more energy from solar supply with an energy increase of 11.38%. With respect to conventional energy based \ of 47.31%, solar energy based higher energy saving of 52.69% was reported. Also, the work achieved higher temperature reduction of 34.26% of the motor as compared to previous cooling options.

The proposed technique is free from air, liquid and phase-changing material based cooling materials. As a consequence, the work prevents the wastage of these materials and does not cause the risk of health hazards. Also, the motors are used with their original dimensions without facing any leakage problems.

The purpose of this study is to examine the rostering practices and work experiences of medical scientists at four health services in the Australian public healthcare sector. There are over 16,000 medical scientists (AIHW, 2019) in Australia responsible for carrying out pathology testing to help save the lives of thousands of patients every day. However, there are systemic shortages of medical scientists largely due to erratic rostering practices and workload issues. The purpose of this paper is to integrate evidence-based human resource management (EBHRM), the LAMP model and HR analytics to enhance line manager decision-making on rostering to support the wellbeing of medical scientists.

Using a qualitative methodological approach, the authors conducted 21 semi-structured interviews with managers/directors and nine focus groups with 53 medical scientists, making a total 74 participants from four large public hospitals in Australia.

Across four health services, manual systems of rostering and management decisions do not meet the requirements of the enterprise agreement (EA) and impact negatively on the wellbeing of medical scientists in pathology services. The authors found no evidence of the systematic approach of the organisations and line managers to implement the LAMP model to understand the root causes of rostering challenges and negative impact on employees. Moreover, there was no evidence of sophisticated use of HR analytics or EBHRM to support line managers' decision-making regarding mitigation of rostering related challenges such as absenteeism and employee turnover.

The authors contribute to HRM theory by integrating EBHRM, the LAMP model (Boudreau and Ramstad, 2007) and HR analytics to inform line management decision-making. The authors advance understandings of how EBHRM incorporating the LAMP model and HR analytics can provide a systematic and robust process for line managers to make informed decisions underpinned by data.

This study aims to examine the effect of a high commitment work system (HCWS) on employee well-being and the mediating role of organizational support and work–life balance.

Using structural equation modeling (SEM) for analysis, a quantitative approach was adopted to collect data from the 235 employees from the public sector in the United Arab Emirates (UAE).

Results show that HCWSs have a significant influence on organizational support and employee work–life balance. Therefore, there is a significant positive effect on employee well-being. The consequence of HCWS on well-being is not mediated by organizational support. Organization and work–life balance do not support the idea of reducing the negative effects of high-commitment work systems on well-being. There is a significant influence of work–life balance on employee behaviors to have well-being.

Managers can devise a strategy to involve the employees to join participating in decision-making. The research advances knowledge of how HCWS improves employee well-being and emphasizes the significance of organizational support in the environment of public organizations. Organizations are expecting to develop new strategies that help employees engage with their environment and increase their confidence. In this perspective, the present study has identified a crucial key factor of HCWS affecting of organization support and employee work–life balance, which can help propelling employees well-being. The research expands the knowledge of the organizational and cultural elements that influence employee behavior and performance in this setting by evaluating the effects of HCWS on employee well-being in the UAE.

This study aims to find out if organizations are still practicing a hybrid workplace arrangement after COVID-19 ease of restrictions, determine the positive and negative sides of a hybrid workplace, ascertain the challenges organizations are currently facing in implementing a hybrid workplace and examine how successful team learning has been in hybrid workplaces.

This study adopted a mixed approach. Two sets of data (quantitative and qualitative) were used to answer the research questions.

This study found that most organizations within professional service firms are still implementing hybrid workplaces even though COVID-19 restrictions have been eased. This study also found that one of the advantages of implementing a hybrid work arrangement includes employees’ opportunity to spend more time with their families. On the other hand, the disadvantages discovered were gradual loss of corporate identity, a feeling of loneliness and others. One of the challenges organizations are facing in implementing this working system is the lack of an ergonomic workplace and appropriate technology for remote working. With evidence, this study ends with finding out that companies are not successful as expected in terms of team learning in a hybrid workplace.

To the best of the author’s knowledge, this is among the first to look at hybrid workplace in the African setting where COVID restrictions which highlights the practice has not really been an issue. This study also combines its findings with those done on the subject before to firmly clarify attributes as they exist.

The main goal of this research work is the optimization of the purchasing business process in the Moroccan public sector in terms of transparency and budgetary optimization. The authors have worked on the public university as an implementation field.

The design of the research work followed the design science research (DSR) methodology for information systems. DSR is a research paradigm wherein a designer answers questions relevant to human problems through the creation of innovative artifacts, thereby contributing new knowledge to the body of scientific evidence. The authors have adopted a techno-functional approach. The technical part consists of the development of an intelligent recommendation system that supports the choice of optimal information technology (IT) equipment for decision-makers. This intelligent recommendation system relies on a set of functional and business concepts, namely the Moroccan normative laws and Control Objectives for Information and Related Technology's (COBIT) guidelines in information system governance.

The modeling of business processes in public universities is established using business process model and notation (BPMN) in accordance with official regulations. The set of BPMN models constitute a powerful repository not only for business process execution but also for further optimization. Governance generally aims to reduce budgetary wastes, and the authors' recommendation system demonstrates a technical and methodological approach enabling this feature. Implementation of artificial intelligence techniques can bring great value in terms of transparency and fluidity in purchasing business process execution.

Business limitations: First, the proposed system was modeled to handle one type products, which are computer-related equipment. Hence, the authors intend to extend the model to other types of products in future works. Conversely, the system proposes optimal purchasing order and assumes that decision makers will rely on this optimal purchasing order to choose between offers. In fact, as a perspective, the authors plan to work on a complete automation of the workflow to also include vendor selection and offer validation. Technical limitations: Natural language processing (NLP) is a widely used sentiment analysis (SA) technique that enabled the authors to validate the proposed system. Even working on samples of datasets, the authors noticed NLP dependency on huge computing power. The authors intend to experiment with learning and knowledge-based SA and assess the' computing power consumption and accuracy of the analysis compared to NLP. Another technical limitation is related to the web scraping technique; in fact, the users' reviews are crucial for the authors' system. To guarantee timeliness and reliable reviews, the system has to look automatically in websites, which confront the authors with the limitations of the web scraping like the permanent changing of website structure and scraping restrictions.

The modeling of business processes in public universities is established using BPMN in accordance with official regulations. The set of BPMN models constitute a powerful repository not only for business process execution but also for further optimization. Governance generally aims to reduce budgetary wastes, and the authors' recommendation system demonstrates a technical and methodological approach enabling this feature.

The adopted techno-functional approach enabled the authors to bring information system governance from a highly abstract level to a practical implementation where the theoretical best practices and guidelines are transformed to a tangible application.

This study aims to explore the effectiveness and reliability of the performance of internal auditor by the stakeholders for their decision making. The absence of rules and regulations generates the debate that the non-standard reporting of the assessment of the internal controls system’s assessment by internal auditor and reliance by the external auditor.

The study used the mixed-method (triangulation) for the analysis quantitative data was used for regression with Smart PLS 3.2.8, and the qualitative data was used to prove and strengthen the results. The data is collected for five IVs (Objectivity of IAF, Work Performance, Competence, Internal Control System’s Assessment and Sourcing of IAF) and their impact on two DVs (Effectiveness and Reliance). This study used five areas as the target audience (Internal Auditor, External Auditor, Professional bodies, Shareholders, SECP and SBP). A total of 150 respondents were approached and received a valid response of 98 respondents.

The study explores the positive relationship between Objectivity of IAF, Work Performance, Competence, Sourcing of IAF on Effectiveness and Reliance. Internal Control System’s Assessment having significant relation with Effectiveness and non-significant with reliance because the absence of rules makes it unreliable for stakeholders.

The study found that the system for reporting the internal control needs rules and regulations advancement on the immediate basis for the betterment and safeguard of stakeholders to avoid the events like WorldCom and ENRON.