With changing retirement ages and an aging workforce, interest is growing on the potential contribution of relevant bundles of HR practices in eliciting well-being and performance among aging workers. Drawing on theories on lifespan development and self-regulation, we distinguished two bundles of HR practices: development HR practices that help individual workers reach higher levels of functioning (e.g. training), and maintenance HR practices that help individual workers maintain their current levels of functioning in the face of new challenges (e.g. performance appraisal). Further, based on lifespan theories, we expected and found that the association between development HR practices and well-being (i.e. job satisfaction, organisational commitment and organisational fairness) weakens, and that the associations between maintenance HR practices and well-being, and between development HR practices and employee performance, strengthen with age. In addition, a third bundle of ‘job enrichment’ HR practices emerged that elicited higher job performance among aging workers.
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To aid HR practitioners in their design of firm specific HRM configurations, andcontribute to the state of the art HRM knowledge, we created a simulation model. In this paper we present the simulation model, and the serious game in which it was implemented, but focus on the practical and academical implication of creating and using our initial HRM simulation model.Deciding which HR-practices to select, and how to design them in a multiyear HRMconfiguration is a challenging task for any HR-practitioner due to the large number of interrelated options to pick from. In particular as, according to configurational HRM, the configuration of HR-practices needs to reflect the organizational strategy (vertical alignment) and show internal consistency (horizontal alignment). Currently, no (technological) tool aids HR-practitioners in their quest to design an aligned HRM configuration. To fill this void, we created an HRM simulation model and used it in a serious game which was played during workshops with HR-practitioners.Configurational HRM postulates that HRM configuration need to be both verticallyand horizontally aligned. However, to date, no specific information on how to make these levels of alignment happen is present. As a result, no specific hypothesis based on configurational HRM has been defined and empirical validation of this mode of theorizing is limited. Using the simulation model and serious game we aspire to specify the configurational mode of theorizing with a new level of detail enabling more precise empirical exploration of configurational HRM.The creation of an HRM simulation model and serious game proved to beworthwhile. During the workshops, HR-practitioners stated that the simulation model and game enables them to get to grips with the complexity of designing a firm specific HRM configuration. Furthermore, the simulation model enables us to specify configurational HRM to a new level of detail enabling a wide variety of research opportunities. The simulation model, serious game, and implications are discussed in this paper.
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Op basis waarvan worden in je organisatie HR-beslissingen genomen? Op basis van eigen cijfers of van best practices bij andere organisaties? Op basis van gefundeerde argumenten, of eenvoudigweg door hoger management, waarbij je je eigen organisatie-expertise aan de kant zet? Beslisculturen in organisaties kunnen heel fact free of meer evidence-based zijn. In een fact-freecultuur heeft HR Analytics als zevende zintuig geen schijn van kans. Cijfers kunnen als moeilijkdoenerij worden gezien of zelfs een bedreiging vormen voor stakeholders die cijfers enkel beschouwen als een middel om af te rekenen met het bestaande beleid. Of cijfers zijn een ritueel geworden: niemand vraagt zich meer af wat ze eigenlijk betekenen. In een evidence-basedcultuur worden belangrijke beslismomenten serieus genomen. Op die momenten is er de kans om de kwaliteit van de beslissing te verrijken met analytische inzichten – naast informatie die andere zintuigen kunnen aanleveren. HR Analytics kan hier haar meerwaarde doen gelden. Maar de HR Analyticspraktijk is weerbarstig. Zelfs als het belang en de uitvoering van HR Analytics goed ingebed zijn, betekent dat niet automatisch dat analytische inzichten de HR-beleidsvoering altijd bereiken en invloed uitoefenen.
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Purpose – Driven by the rapidly accelerating pace of technology-enabled developments within human resource management (HRM), human resource (HR) analytics is infiltrating the research and business agenda. As one of the first in its field, the purpose of this paper is to explore what the future of HR analytics might look like. Design/methodology/approach – Using a sample of 20 practitioners of HR analytics, based in 11 large Dutch organizations, the authors investigated what the application, value, structure, and system support of HR analytics might look like in 2025. Findings – The findings suggest that, by 2025, HR analytics will have become an established discipline, will have a proven impact on business outcomes, and will have a strong influence in operational and strategic decision making. Furthermore, the development of HR analytics will be characterized by integration, with data and IT infrastructure integrated across disciplines and even across organizational boundaries. Moreover, the HR analytics function may very well be subsumed in a central analytics function – transcending individual disciplines such as marketing, finance, and HRM. Practical implications – The results of the research imply that HR analytics, as a separate function, department, or team, may very well cease to exist, even before it reaches maturity. Originality/value – Empirical research on HR analytics is scarce, and studies on scenarios, values, and structures of expected developments in HR analytics are non-existent. This research intends to contribute to a better understanding of the development of HR analytics, to facilitate business and HR leaders in taking informed decisions on investing in the further development of the HR analytics discipline. Such investments may lead to an enhanced HR analytics capability within organizations, and cultivate the fact-based and data-driven culture that many organizations and leaders try to pursue.
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This interview focuses on employee performance and HR Analytics.
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Whitepaper in een serie over HR Analytics. Steeds vaker worden HRM-beslissingen gebaseerd op voorspellende modellen die ontwikkeld zijn op basis van historische data. In deze whitepaper bespreken we een aantal best practices die organisaties daarbij kunnen helpen. Zo is het belangrijk om goed te letten op de oorsprong van gegevens. Objectieve meetgegevens zijn bijvoorbeeld vaak van grotere waarde dan subjectieve antwoorden uit enquêtes. Wanneer een organisatie data wil verzamelen voor een People Analytics-project, is het daarnaast belangrijk om zeker te weten dat er meetinstrumenten worden gekozen die ook echt meten wat ze beogen te meten. Inhoud: • Inleiding 1. Kies de juiste steekproef 2. Let op de grootte van de steekproef 3. Geef de voorkeur aan objectieve gegevens 4. Zorg voor valide meetinstrumenten 5. Koppel data op een privacyvriendelijke manier 6. Denk na over het gebruik van gemiddelden 7. Verwar oorzaak en gevolg niet 8. Laat je niet foppen door percentages 9. Let op verklaarde variantie 10. Kijk altijd naar de netto opbrengst 11. Voer waar nodig extra analyses uit 12. Maak voldoende tijd vrij voor Analytics • Conclusie
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This paper assesses the impact of perceived HRM practices on organisational citizenship behaviour (OCB) and whether leader membership exchange (LMX) mediates this relationship. The required research data were retrieved from four different departments within a logistics and supply chain management organisation. The results show that there is a significant relationship between the HRM practices as perceived by a subordinate and their level of organisational citizenship behaviour. The relationship that subordinates have with their frontline manager (LMX) acts as a significant mediator. In the final section, of this paper the findings are discussed and recommendations for future research and practical implications are given.
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Het verzuim en de instroom in de WIA als gevolg van een psychische aandoening zijn hoog. Dat komt niet alleen door de aandoening, maar ook doordat werknemers met een psychische aandoening daar vaak niet open over durven te zijn. Ze zijn bijvoorbeeld bang dat collega’s en leidinggevenden hen buitensluiten of dat ze hun baan verliezen, als bekend wordt wat er aan de hand is. Deze angst is terecht want er bestaan veel vooroordelen over werken met een psychische aandoening en er is sprake van stigmatisering. Het gevolg van niet-open erover zijn is echter dat de werkgever er ook geen rekening mee kan houden. Veel medewerkers met een psychische aandoening staan er daardoor alleen voor, lopen op hun tenen of gaan onderpresteren. Eventuele klachten worden daardoor erger. Werkgevers en HR-professionals kunnen daar wat aan doen. In dit artikel bespreken Aukje Smit, Dorien Verhoeven en Tinka van Vuuren de vooroordelen, de benodigde maatregelen en de strategieën om werkgevers (en dus ook HR-professionals) in beweging te krijgen aan de hand van een literatuuronderzoek naar stigmatisering van werkenden met een psychische aandoening
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Purpose: This paper aims to investigate the relationship between home-to-work spillover, measured as positive and negative home–work interference (HWI) and turnover intentions, as well as the mediating role of perceptions concerning training and development practices. Design/methodology/approach: Data were collected among 418 respondents who were working at two business schools. A confirmative structural equation modeling analysis was conducted for the analysis. Findings: As expected, positive HWI showed negative relationships with turnover intentions, while negative HWI related positively to turnover intentions. Training and development practices mediated the relationship between positive HWI and turnover intentions; the mediation effect was stronger for women than it was for men. Training and development practices did not mediate the relationship between negative HWI and turnover intentions, however. Practical implications: The outcomes suggest that helping employees to balance their work and home lives can be beneficial for employees, as well as for employers in terms of reducing turnover intentions. Originality/value: As contributions, additional insight into the relationship between positive and negative non-work factors and turnover intentions by examining the ways in which both positive as well as negative HWI are related to turnover intentions. Furthermore, the research considers the mediating role played by perceptions concerning human resource (HR) practices, and particularly training and development practices as perceived by the employee, in the relationship between positive and negative HWI and turnover intentions.
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Purpose – The purposes of this paper are to 1) give an overview of the prevalence of HR practices that are used to retain vital older workers in health organizations, 2) to examine the evaluations of those HR practices, and 3) to determine the wishes for HR practices in three different target groups:older workers, line managers and HR professionals.Design/methodoly/approach - An inventory case study was conducted based on 51 interviews with older workers, line managers and HR professionals working in 15 hospitals and nursing and care organizations.Findings - Our results showed that maintenance HR practices focused on retaining older workers in their current jobs, in comparison with development HR practices, are by far more prevalent. In addition, maintenance and development HR practices, in general, are assessed being successful.Although wishes appeared to be strongly related to development HR practices, maintenance HR practices are mentioned as well.Originality/value - This paper aims to give an overview of the prevalence of HR practices used to retain older workers in health care organizations vital at work, which practices are evaluated as successful from not only line managers’ and HRM perspective, but from the older workers themselves as well.
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