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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.

Building on the premise of conservation of resources theory (COR) that people protect their knowledge as a resource, the authors questioned whether the contextual nature of job resources buffers the counterintuitive positive relationship between evasive knowledge hiding (KH) and task performance.

Two multisource field survey studies were conducted to examine the moderating influence of task-job resources on the knowledge hiders' task performance. Hierarchical regression analyses tested the main effect of evasive KH on task performance. In addition, conditional process analyses were applied to examine two-way and three-way interactions of evasive KH, job autonomy and task variety.

The data analysis showed a positive relationship between evasive KH and task performance. Moreover, the authors found that employees receiving accumulative task-job resources continued to hide knowledge and used abundant resources to increase their task performance further. However, contrary to expectations, for employees—who received partial task-job resources—their task performance deteriorated when evasively hiding knowledge.

Managers and human resource practitioners should acknowledge that employees' evasive KH to co-workers is not always wrong and should not be treated like it is. Moreover, they are endorsed to pay attention and invest in job resources since job autonomy and task variety create a beneficial context for knowledge holders' task performance.

The authors provided novel theoretical (the gain-loss perspective of COR theory) and consistent empirical (confirmed by two field-study evidence) arguments for an important contextual role of an HRM practice of job design in shaping the underrepresented knowledge behavior–task performance relationship.

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.

Job characteristics can potentially influence employees’ attitudes and behaviors. However, their impact on employees’ innovative behaviors, particularly in public sector organizations, has received little scholarly attention. Based on relational job design theory and the broaden-and-build theory of positive emotions, this study aims to examine the effect of job contact on public sector employees’ innovative work behavior through the mediator of happiness at work. It also assesses whether prosocial motivation strengthens the influence of job contact on innovative work behavior (via happiness at work).

The model was examined on a sample of 180 employee-supervisor dyads (90 supervisors and 180 employees) recruited from various government departments in the United Arab Emirates.

The findings support the proposed moderated mediation model in which job contact positively and significantly impacts innovative work behavior. The association between job contact and innovative behavior via happiness at work is found to be stronger for employees who are highly prosocially motivated.

The findings offer prescriptive insights into public sector employee happiness and prosocial motivation by illustrating when and how job contact influences innovative work behavior. The authors also present relevant managerial recommendations for promoting public sector employees’ innovative behavior.

Prosocial job characteristics have received the least scholarly attention among the antecedents of employee innovative work behavior (IWB). Hence, antecedents' role remains largely unknown, especially in public sector organizations. Based on the relational job design theory, job characteristics theory (JCT) and public sector innovation literature, the authors examine whether job impact (JI) promotes public sector employees' IWB mediated by work meaningfulness (WM). This study also assesses whether servant leadership (SL) strengthens the influence of JI on IWB (via WM).

The model was examined on a sample of 180 employee-supervisor dyads (90 supervisors and 180 employees) recruited from various government departments in the United Arab Emirates (UAE).

The finding supports the proposed moderated mediation model in which JI enhances IWB. The association between JI and innovative behavior via WM is found to be stronger under high SL behavior.

The authors' findings offer prescriptive insights into SL's crucial role in illustrating when and how JI promotes IWB and offer relevant managerial recommendations for encouraging public sector employees to demonstrate innovative behavior. The authors also provide empirical evidence on the significant contribution of a prosocial job characteristic, i.e. JI, to IWB. In addition to having theoretical and practical significance, the authors' study is aligned with the UAE National Innovation Strategy 2015.

This study aims to investigate the implementation of lean human resource management (HRM) practices in manufacturing small- and medium-sized enterprises (SMEs) and explore how various factors interact to influence their successful adoption. By exploring the interplay among these factors, the research seeks to identify key drivers affecting the adoption of lean HRM in manufacturing SMEs. Ultimately, the research intends to provide insights that can guide organisations, practitioners and policymakers in effectively implementing lean HRM practices to enhance operational efficiency, workforce engagement and competitiveness within the manufacturing SME sector.

The study combined total interpretive structural modelling (TISM) and Matrice d'Impacts Croisés Multiplication Appliquée à un Classement (MICMAC) analysis. TISM helped in understanding the hierarchical relationship among different factors influencing lean HRM implementation, whereas MICMAC analysis provided insights into the level of influence and dependence of each factor on others.

The research revealed that “top management support” emerged as the most independent factor, indicating that strong support from top management is crucial for initiating and sustaining lean HRM practices in manufacturing SMEs. On the other hand, “employee involvement and empowerment” was identified as the most dependent factor, suggesting that fostering a culture of employee engagement and empowerment greatly relies on the successful implementation of lean HRM practices.

While the study provided valuable insights, it has certain limitations. The research was conducted within the specific context of manufacturing SMEs, which might limit the generalizability of the findings to other industries. Expert opinions introduce subjectivity in data collection. Additionally, the study may not cover all critical factors, allowing room for further exploration in future research.

The findings have practical implications for manufacturing SMEs aiming to implement lean HRM practices. Recognising the pivotal role of top management support, organisations should invest in cultivating a strong leadership commitment to lean HRM initiatives. Furthermore, enhancing employee involvement and empowerment can lead to better adoption of lean HRM practices, resulting in improved operational efficiency and overall competitiveness.

This research contributes to the field by offering a comprehensive exploration of the interplay among factors influencing lean HRM implementation. The use of TISM and MICMAC analysis provides a unique perspective on the relationship dynamics between these factors, allowing for a nuanced understanding of their roles in the adoption of lean HRM practices in manufacturing SMEs. The identification of “top management support” as the most independent and “employee involvement and empowerment” as the most dependent factors adds original insights to the existing literature.

This paper aims to examine work design and the linkages of work design with the work–life balance of academics in higher education (HE).

A sample of 307 academics was recruited for this study. The result was analysed using SPSS (statistical package of social science) and AMOS (analysis of moment structure) structural equation modelling (SEM).

This paper discovered that high autonomy, task significance, task identity and feedback were linked to greater work-to-family enrichment (W-FE) levels amongst academics, whilst, low job autonomy, task identity and task significance were linked to high work-to-family conflict (W-FC) levels.

This paper highlights the importance of promoting good academics' work–life balance by evaluating and improvising the academics' work design.

This study aims to adapt and validate the Job Crafting Scale (JCS), a measure based on the conceptualization of job crafting of the job demands–resources theory, for a sample of Portuguese workers and to test its psychometric properties regarding validity (factor, convergent, discriminant, and criterion) and reliability.

Two subsamples (n1 = 315 and n2 = 329) of Portuguese workers aged 18 years old and over participated in this research. Exploratory factor analysis and confirmatory factor analysis were used to assess the factor structure.

The results indicated that the Portuguese version of the JCS, with 18 items, has a factor structure composed of four-correlated factors. Furthermore, the results demonstrated the existence of factor, discriminant, and criterion validity, as well as reliability.

This study provides a job crafting measure adapted to the Portuguese language that can serve as a diagnostic tool for workers and organizations.

Este estudio tuvo como objetivo adaptar y validar la Job Crafting Scale (JCS), una medida basada en la conceptualización de job crafting de la Teoría de Demandas-Recursos, para una muestra de trabajadores portugueses y probar sus propiedades psicométricas en cuanto a validez (factor, convergente, discriminante y de criterio) y confiabilidad.

En esta investigación participaron dos submuestras (n1 = 315 y n2 = 329) de trabajadores portugueses de 18 años o más. Se utilizó un análisis factorial exploratorio y un análisis factorial confirmatorio para evaluar la estructura factorial.

Los resultados indicaron que la versión portuguesa del JCS, con 18 ítems, tiene una estructura factorial compuesta por cuatro factores correlacionados. Además, los resultados demostraron la existencia de validez factorial, discriminante y de criterio, así como confiabilidad.

Este estudio proporciona una medida de job crafting adaptada a la lengua portuguesa que puede servir como herramienta de diagnóstico para trabajadores y organizaciones.

Este estudo teve como objetivo adaptar e validar a Job Crafting Scale (JCS), uma medida baseada na conceptualização de job crafting da Teoria das Exigências-Recursos, numa amostra de trabalhadores portugueses e testar as suas propriedades psicométricas quanto à validade (fatorial, convergente, discriminante e de critério) e fiabilidade.

Duas subamostras (n1 = 315 e n2 = 329) compostas por trabalhadores portugueses com 18 ou mais anos foram recolhidas. Foram utilizadas uma análise fatorial exploratória e uma análise fatorial confirmatória para analisar a estrutura fatorial.

Os resultados obtidos indicaram que a versão portuguesa da JCS, composta por 18 itens, possui uma estrutura fatorial composta por quatro fatores correlacionados. Além disso, os resultados demonstraram a existência de validade fatorial, discriminante e de critério, bem como de fiabilidade.

Este estudo fornece uma medida de job crafting adaptada para a língua portuguesa que pode servir como ferramenta de diagnóstico para trabalhadores e organizações.

Digital labor platforms (DLPs) are transforming the nature of the work for an increasing number of workers, especially through extensively employing automated algorithms for performing managerial functions. In this novel working setting – characterized by algorithmic governance, and automatic matching, rewarding and punishing mechanisms – gig-workers play an essential role in providing on-demand services for final customers. Since gig-workers’ continued participation is crucial for sustainable service delivery in platform contexts, this study aims to identify and examine the antecedents of their working outcomes, including burnout and engagement.

We suggested a theoretical framework, grounded in the job demands-resources heuristic model to investigate how the interplay of job demands and resources, resulting from working in DLPs, explains gig-workers’ engagement and burnout. We further empirically tested the proposed model to understand how DLPs' working conditions, in particular their algorithmic management, impact gig-working outcomes.

Our findings indicate that job resources – algorithmic compensation, work autonomy and information sharing– have significant positive effects on gig-workers’ engagement. Furthermore, our results demonstrate that job insecurity, unsupportive algorithmic interaction (UAI) and algorithmic injustice significantly contribute to gig-workers’ burnout. Notably, we found that job resources substantially, but differently, moderate the relationship between job demands and gig-workers’ burnout.

This study contributes a theoretically accurate and empirically grounded understanding of two clusters of conditions – job demands and resources– as a result of algorithmic management practice in DLPs. We developed nuanced insights into how such conditions are evaluated by gig-workers and shape their engagement or burnout in DLP emerging work settings. We further uncovered that in gig-working context, resources do not similarly buffer against the negative effects of job demands.

Despite its flourishing development since first proposed, job crafting literature has provided limited insights into why people craft their jobs. This study theoretically develops a two-dimensional integrative framework for the motives of job crafting, including orientation (self-oriented vs work-oriented vs other-oriented) and self-determination (autonomous vs introjected vs external) dimensions. We further investigate the specific motives of job crafting from actor and observer perspectives.

We conducted two critical-incident recall surveys among 120 and 100 employees from varied sectors and organizations, who responded from the actor and observer perspective respectively. 395 and 299 valid open-ended responses were then collected and coded following the steps for content analysis.

Drawing from the proposed two-dimensional theoretical framework, we identified 16 specific job crafting motives from actor and observer perspectives.

Our findings remind managers to pay attention to employees' motives of job crafting and take appropriate managerial actions according to their varied motives.

By incorporating job crafting from the motivation literature and identifying diversified motives that drive employees to engage in job crafting, this qualitative study contributes to both the job crafting literature and the broader application of self-determination theory in the field of organizational behavior.