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The purpose of this paper is to investigate how learning solely via an assistance system influences work performance compared with learning with a combination of an assistance system and additional training. While the training literature has widely emphasised the positive role of on-the-job training, particularly for groups that are often underrepresented in formalised learning situations, organisational studies have stressed the risks that emerge when holistic process knowledge is lacking and how this negatively affects work performance. This study aims at testing these negative effects within an experimental design.

This paper uses a laboratory experimental design to investigate how assistance-system-guided learning influences the individuals’ work performance and work satisfaction compared with assistance-system-guided learning combined with theoretical learning of holistic process knowledge. Subjects were divided into two groups and assigned to two different settings. In the first setting, the participants used the assistance systems as an orientation and support tool right at the beginning and learned the production steps exclusively in this way. In the second setting, subjects received an additional 10-min introduction (treatment) at the beginning of the experiment, including detailed information regarding the entire work process.

This study provides evidence that learners provided with prior process knowledge achieve a better understanding of the work process leading to higher levels of productivity, quality and work satisfaction. At the same time, the authors found evidence for differences among workers’ ability to process and apply this additional information. Subjects with lower productivity levels faced more difficulties processing and applying additional process information.

Methodologically, this study goes beyond existing research on assistance systems by using a laboratory experimental design. Though the external validity of this method is limited by the artificial setting, it is a solid way of studying the impact of different usages of digital assistance systems in terms of training. Further research is required, however, including laboratory experiments with larger case numbers, company-level case studies and analyses of survey data, to further confirm the external validity of the findings of this study for the workplace.

This study provides some first evidence that holistic process knowledge, even in low-skill tasks, has an added value for the production process. This study contributes to firms' training policies by exploring new, digitalised ways of guided on-the-job training and demonstrates possible training benefits for people with lower levels of (initial) abilities and motivation.

This study indicates the advantage for companies and societies to invest in additional skills and training and points at the limitations of assistance systems. This paper also contributes to training policies by exploring new, digitalised ways of guided on-the-job training and demonstrates possible training benefits for people with lower levels of (initial) abilities and motivation.

This study extends existing research on digital assistance systems by investigating their role in job-related-training. This paper contributes to labour sociology and organisational research by confirming the importance of holistic process knowledge as opposed to a solely task-oriented digital introduction.

As part of a national plan to govern professional and organizational development in Norwegian specialist healthcare, the country’s hospital clinics are tasked with constructing development plans. Using the development plan as a case, the paper analyzes how managers navigate and legitimize the planning process among central actors and deals with the contingency of decisions in such strategy work.

This study applies a qualitative research design using a case study method. The material consists of public documents, observations and single interviews, covering the process of constructing a development plan at the clinical level.

The findings suggest that the development plan was shaped through a multilevel translation process consisting of different contending rationalities. At the clinical level, the management had difficulties in legitimizing the process. The underlying tension between top-down and bottom-up steering challenged involvement and made it difficult to manage the contingency of decisions.

The findings are relevant to public sector managers working on strategy documents and policymakers identifying challenges that might hinder the fulfillment of political intentions.

This paper draws on a case from Norway; however, the findings are of general interest. The study contributes to the academic discussion on how to consider both the health authorities’ perspective and the organizational perspective to understand the manager’s role in handling the contingency of decisions and managing paradoxes in the decision-making process.

The aim of this paper was to study current practices in FM work order processing to support and improve decision-making. Processing and prioritizing work orders constitute a critical part of facilities and maintenance management practices given the large amount of work orders submitted daily. User-driven approaches (UDAs) are currently more prevalent for processing and prioritizing work orders but have challenges including inconsistency and subjectivity. Data-driven approaches can provide an advantage over user-driven ones in work-order processing; however, specific data requirements need to be identified to collect and process the functional data needed while achieving more consistent and accurate results.

This paper presents the findings of an online survey conducted with facility management (FM) experts who are directly or indirectly involved in processing work orders in building maintenance.

The findings reflect the current practices of 71 survey participants on data requirements, criteria selection, rankings, with current shortcomings and challenges in prioritizing work orders. In addition, differences between criteria and their ranking within participants’ experience, facility types and facility sizes are investigated. The findings of the study provide a snapshot of the current practices in FM work order processing, which aids in developing a comprehensive framework to support data-driven decision-making and address the challenges with UDAs.

Although previous studies have explored the use of selected criteria for processing and prioritizing work orders, this paper investigated a comprehensive list of criteria used by various facilities for processing work orders. Furthermore, previous studies are focused on the processing and prioritization stage, whereas this paper explored the data collected following the completion of the maintenance tasks and the benefits it can provide for processing future work orders. In addition, previous studies have focused on one specific stage of work order processing, whereas this paper investigated the common data between different stages of work order processing for enhanced FM.

This paper aims to examine employee-driven innovation (EDI) intertwined with learning, creating a new description combining these two concepts: employee-driven learning and innovation (EDLI). This paper provides insights into the nature of EDLI based on the existing theories and perspectives. It seeks to elaborate EDLI as an ongoing process in and through work.

The paper draws on Jaakkola’s (2020) guidance for structuring a conceptual article. The authors first describe the theoretical starting points related to EDI and then elaborate its relationship with learning at work, with the aim of structuring the key elements involved, drawing on and interpreting existing theory and knowledge.

In summary, advanced here are five premises for describing EDLI at work: (1) EDI and workplace learning are strongly intertwined phenomena, (2) learning in the EDI process occurs simultaneously at the intra-personal and inter-personal levels as a reciprocal process of adaptive and innovative learning, (3) innovations are only manifested in and are relevant to the specific cultural-historical and social context of particular enterprises, (4) the continuity of innovations and learning processes is enabled by participation and (5) triggers from outside the workplace, behind the innovation and the specific consequences (that transcend workplace boundaries) of the innovation anchor aspects of the process outside the workplace or work practice.

The paper advances a description and justification of EDLI. As such, it extends, connects and updates previously established theoretical models and explanations of this about EDIs. Based on the premises advanced here, the theoretical and practical contributions are discussed and the research gaps and needs for further research identified.

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.

The purpose of this paper is twofold: first, a case study on applying lean principles in manufacturing operations to redesign and optimize an electronic device assembly process and its impact on performance and second, introducing cardboard prototyping as a Kaizen tool offering a novel approach to testing and simulating improvement scenarios.

The study employs value stream mapping, root cause analysis, and brainstorming tools to identify root causes of poor performance, followed by deploying a Kaizen event to redesign and optimize an electronic device assembly process. Using physical models, bottlenecks and opportunities for improvement were identified by the Kaizen approach at the workstations and assembly lines, enabling the testing of various scenarios and ideas. Changes in lead times, throughput, work in process inventory and assembly performance were analyzed and documented.

Pre- and post-improvement measures are provided to demonstrate the impact of the Kaizen event on the performance of the assembly cell. The study reveals that implementing lean tools and techniques reduced costs and increased throughput by reducing assembly cycle times, manufacturing lead time, space utilization, labor overtime and work-in-process inventory requirements.

This paper adds a new dimension to applying the Kaizen methodology in manufacturing processes by introducing cardboard prototyping, which offers a novel way of testing and simulating different scenarios for improvement. The paper describes the process implementation in detail, including the techniques and data utilized to improve the process.

The purpose of the present research is to introduce a combined framework that integrates innovative work behavior, product innovation process and customer knowledge management; then, to explore the mediating effect of customer knowledge management in the relationship between innovative work behavior and the product innovation process.

The basis for the present research is a cross-sectional design. Data collection from 154 employees occurred using the following structured questionnaires: Customer Knowledge Management (CKM), Innovative Work Behavior (IWB) and Product Innovation Process (PIP). Data processing used SPSS version 26.0, including the PROCESS (3.5) macro analysis.

The results show positive relationships between innovative work behavior and the product innovation process (r = 0.420, p < 0.01). Pearson's correlation shows a coefficient of 0.42, meaning that 42% of the variations in perceived product innovation are due to variations in innovative work behavior. The second condition of the mediation test involved testing the relationship between the independent variable (Innovative Work Behavior) and the mediating variable (Knowledge Management) and showed a significant relationship (r = 0.272, p < 0.01). The findings suggested that knowledge management that other determinants supported, such as collaboration in idea exploration, idea championing and encouragement of participation in idea implementation, significantly contributed to the product innovation process (r = 0.509, p < 0.01). The bootstrapping method confirmed that innovative work behavior supports product innovation through the mediation of customer knowledge management (z = 3.01, p = 0.002).

The cross-sectional design, along with the relatively low number of participants and the self-reporting nature of the questionnaires, represent the current study's main limitations. Developing the research model could integrate new variables, such as customer co-creation processes, performance-based compensation, employee citizenship activities and transformational leadership.

This research has both theoretical and practical implications. These emphasize the importance of further investigation into the factors influencing companies' innovation processes. They also provide managers with a means of finding a fit between the deployment of customer knowledge mechanisms and the achievement of innovative workplace behavior, to improve innovation process efficiency.

The current study broadens the empirical research area of customer knowledge management and its impact on both innovative work behavior and the product innovation process, particularly in knowledge-intensive market scenarios that require organizations to be innovative.

The primary study purpose is to examine whether managerial support triggers job crafting and sustainable employability, and to what extent work uncertainty moderates the managerial support and sustainable employability relationships mediated by job crafting using a moderated mediation approach. Thus, this study aims to uncover new antecedent and outcomes of job crafting using job demands and resources (JD–R) theory as no such research has yet examined these relationships.

The structural equation modeling (SEM) technique was employed to test the proposed relationships based on survey data that include a final 483 knowledge workers of the services sector. The authors tested the structural model using self-developed estimates for AMOS 24.0 to examine the moderated mediation process models (process models 7, 14 and 58) rather than using a conventional process macro through SPSS.

Consistent with the formulated hypothesis, the results of this study indicate that managerial support directly stimulates job crafting and sustainable employability. Further, job crafting mediates the relationships between managerial support and sustainable employability. This validates the JD–R theory assumption that managerial support as job resources initiates a motivational process through job crafting, leading to sustainable employability as the outcome of the motivational process. Additionally, the moderated mediation results show that in the presence of high work uncertainty, employees are more engaged in job crafting to boost their sustainable employability.

Organizations may incorporate these findings while developing human resources (HR) management policies and practices to align top-down and bottom-up job re(design) approaches. For example, by designing line managers’ role in implementation of supportive HR practices, their supportive leadership behavior towards employees will successfully trigger job crafting and nurture their sustainable employability.

This research adds to the work design and employability literature. No such study has yet examined whether managerial support triggers job crafting and sustainable employability. Prior studies examine personality traits, some individual difference variable, job characteristics, or leadership influence as antecedents of job crafting. Utilizing the JD–R theory, we empirically validate that job crafting plays a vital role in the motivational process initiated by the job resources (managerial support), leading to sustainable employability as an outcome of the motivational process. The authors further show that in the presence of high job demands (work uncertainty), employees are more engaged in job crafting and more conscious to boost their sustainable employability.

When improving business processes, process analysts can use data-driven methods, such as process mining, to identify improvement opportunities. However, despite being supported by data, process analysts decide which changes to implement. Analysts often use process visualisations to assess and determine which changes to pursue. This paper helps explore how process mining visualisations can aid process analysts in their work to identify, prioritise and communicate business process improvement opportunities.

The study follows the design science methodology to create and evaluate an artefact for visualising identified improvement opportunities (IRVIN).

A set of principles to facilitate the visualisation of process mining outputs for analysts to work with improvement opportunities was suggested. Particularly, insights into identifying, prioritising and communicating process improvement opportunities from visual representation are outlined.

Prior work focuses on visualisation from the perspectives – among others – of process exploration, process comparison and performance analysis. This study, however, considers process mining visualisation that aids in analysing process improvement opportunities.

This paper explores critical job resources (CRJRs) as predictors of job crafting and sustainable employability. Using job demands-resources (JD-R) theory as a theoretical lens, the authors examine how job crafting mediates CRJR and sustainable employability and whether work uncertainty as a boundary condition further strengthened these associations using moderated mediation approach.

The authors used a cross-sectional time-lagged research design by collecting data from 483 knowledge workers in Pakistan's healthcare and universities, both public and private. The authors used structural equation modeling using AMOS 25.0 software to examine the proposed relationships’ mediation, moderation and moderated-mediation processes, such as Hayes (2018) process models 1,7,14 and 58. In addition, the authors tested a structural model with self-developed estimands instead of using process macros available in SPSS by computing variables.

The results of this study confirmed that CRJR predicts job crafting and employees' sustainable employability. Furthermore, comprehensive testing suggested that mediation of job crafting between CRJR and sustainable employability further strengthened in the presence of a boundary condition of work uncertainty.

The study uncovers CRJR (job, organizational, social and relational) as a predictor of job crafting. The authors suggest that job design integrating CRJR helps organizations and managers promote job crafting and make employees responsible for their sustainable employability. The proposed CRJR has not been used as a predictor of job crafting, and no such study tested CRJR as a predictor of sustainable employability. The authors made comprehensive testing to examine the boundary condition of work uncertainty while examining the CRJR and sustainable employability relations via job crafting.