Search results

This manuscript explores the evolving roles of HR professionals amidst global megatrends and organizational transitions, focusing on the Italian context, which has experienced disruptive adoption of new forms of work such as remote and hybrid work. In this challenging scenario, our research aims to uncover if and how HR professionals are transforming their roles or maintaining the status quo in navigating organizational changes, dealing with the upcoming working scenario, and challenging conventional perceptions of HR practitioners.

The study employs the social-symbolic work lens, that contributes to a deeper understanding of how HR professionals work to construct organizational life, the identities of employees, and the societal norms and assumptions that provide the context for organizational action. This perspective highlights HR professionals’ personal efforts, consisting of the emotional labor entailed in steering organizational transformations and, eventually, maintenance in a context where remote work has become prevalent. Data was collected through 16 online focus groups involving 76 HR professionals from Italian organizations.

Our research offers two interrelated contributions to HR literature. First, we provide pieces of evidence on how HR practitioners act as agents of change in two emerging roles: the “Wannabe Hero” and the “Ordinary Hero”. This challenges the prevailing rhetorical discourse about the so-called HR business partner. Secondly, we delve into the persistent obstacles that hinder HR professionals from making a substantial impact in addressing radical changes. These findings will provide useful insights into effectively engaging HR practitioners as agents of change in organizational transformation, shedding light on praxis, structures, and their emotional work.

The paper analyzes HR professionals’ social-symbolic work, which offers an original contribution to the comprehension of the activities they carry on in practice and the emotions they have been experiencing. These influence both the way HR professionals play their role and the organizational and institutional environment.

This study investigates human resource (HR) professionals' experiences during the COVID-19 pandemic.

The study involves in-depth, semi-structured interviews with 37 HR professionals purposefully selected based on their prior involvement in managing pandemic-related challenges.

The findings reveal that HR professionals faced intensified organizational demands, leading to expanded job roles, increased workload, a change in pace and emotional pressures. However, participants exhibited resilience by drawing from and creating various job resources to cope with these demands. Our findings also show that despite HR professionals being central to creating workplace support and wellness initiatives, their well-being needs were often overlooked as they prioritized supporting others.

The study contributes to research on the experiences of HR professionals during the pandemic and to job-demands resources (JD-R) theory by incorporating context-specific demands, resources and coping strategies specific to HR professionals.

Lessons learned for organizations and HR professionals are discussed in relation to creating conditions of organizational support and resource availability for HR professionals.

This study extends research on the mental health and well-being of HR professionals during the pandemic by providing a novel lens on linkages between job demands, job resources and self-regulation strategies.

This study aims to contribute knowledge about different professional identities represented among HR practitioners from Weber's “ideal types” framework.

The paper is based on semi-structured interviews with 34 Swedish HR practitioners working in large public and private organisations.

The findings reveal that HR practitioners' identity is perceived as indistinct, unclear and shattered, which leaves lots of room for interpreting HR identity. Based on a thematic content analysis, three different ideal-type identities are presented, each representing the characteristic traits of an HR identity type. These are the Defender who always supports the managers, the Disturber who questions the managers in favour of the employees and the Driver who focuses on the economic expansion of the organisation.

One of the potential constraints of this study is the authors’ reliance on interview data. This finding implies that future research can employ mixed methods or observational techniques to bridge the gap between narrated responsibilities and real-time actions. The data source, predominantly from larger organisations, presents another limitation. This raises a significant research implication: there is a need to study identity formation among HR practitioners in smaller organisations. The theoretical framework this study contributes can aid in comprehending HR practitioners' identities and their corresponding actions. Continued research might explore the significance of these ideal-type identities.

The model presented provides a new way of understanding HR practitioners' complex and shattered professional identity and the various stakeholders that direct different expectations towards them. This knowledge can be used both in HR education and in HR work as a basis for discussing the social work environment of HR practitioners and negotiating their work and identity.

The study contributes knowledge of the professional identities of HR managers, an under-researched area, especially when it comes to empirical research about the HR practitioners' own experiences of their everyday work and view of the HR profession.

Organizations are increasingly joining inter-organizational networks to foster sustainable employability for their employees. The purpose of this study is to identify the factors and mechanisms central to their success as experienced by key stakeholders.

An explorative, qualitative approach was adopted, using four focus groups with network coordinators (N = 18) and HR professionals (N = 14). Fourteen Dutch inter-organizational networks were represented. Respondents were recruited through purposive and snowballing sampling techniques. Thematic analysis was applied using open coding to generate themes.

The results of this study outline environmental, structural, and inter-personal factors and mechanisms that contribute to the success of inter-organizational networks that aim to foster sustainable employability for their employees. The environmental factors and mechanisms consist of challenges stemming from the labor market. The structural factors and mechanisms include: a network’s flat structure, flat fee, lack of informal rules, the allocation of roles and expectations for stakeholders and shared network activities. Lastly, the inter-personal factors and mechanisms are: communication among stakeholders, establishing reciprocity, interaction and collaboration between stakeholders, the valuation of trust, a convivial culture and shared vision among stakeholders. The dynamics between these factors and mechanisms are compared to other forms of inter-organizational networks. Furthermore, several recommendations for network coordinators and practitioners regarding the development of networks are presented.

This study provides insights into the factors and mechanisms that are regarded by stakeholders as influencing the success of inter-organizational networks in their ability to foster sustainable employability for workers. We have identified a unique model that captures this new way of inter-organizational collaboration and builds on insights from literature on collaborative governance regimes, institutional fields and entrepreneurial ecosystems. Specifically, the model provides a framework that consists of environmental, structural and interpersonal factors and mechanisms for network success. This study increases our understanding of how collaborative efforts can be fostered beyond organizational boundaries and existing Human Resource Management practices.

Bryan Otte, Chief Human Resources Officer at MGAC, examines the shifting dynamics of remote and hybrid work models. Addressing challenges in workplace connections, mentorship and trust, Otte advocates a human-centric approach for HR leaders. This study aims to deliver insights and practical strategies, guiding HR professionals in adapting strategies to facilitate meaningful connections, robust mentorship programs and sustained professional growth within the evolving work environment.

Bryan Otte uses a qualitative approach, leveraging his role as Chief Human Resources Officer at MGAC. The methodology involves a thorough examination of the impacts of remote and hybrid work models on workplace dynamics. Otte integrates real-world examples and insights, offering practical strategies for HR leaders with a focus on a human-centric perspective. This approach combines professional expertise with a nuanced understanding of the evolving workforce, providing concise and valuable guidance for adapting HR strategies to the changing landscape of work.

Otte’s findings reveal challenges in remote and hybrid work, including potential disengagement and trust issues. The absence of a central workplace hub may contribute to feelings of isolation, particularly among younger associates who often derive relationship modeling from the workplace. The study advocates for a human-centric approach, emphasizing the enduring value of intentional team building, mentorship programs and fostering relational bonds. The research underscores the need for HR leaders to adapt strategies, ensuring positive workplace engagement, professional growth and overall well-being in the evolving work landscape.

Bryan Otte’s article brings originality through his role as Chief Human Resources Officer at MGAC, providing unique insights into challenges posed by remote and hybrid work. The practical strategies proposed, emphasizing a human-centric approach, offer innovative solutions to address issues such as disengagement and trust. The article’s value lies in shaping HR strategies for the evolving workforce, stressing the enduring importance of intentional team building and mentorship programs. Otte's blend of professional expertise and nuanced understanding contributes significantly, offering actionable guidance for HR leaders navigating the changing dynamics of work.

Despite the extensive benefits of human resource (HR) analytics, the intention to adopt such technology is still a matter of concern in the engineering and construction sectors. This study aims to examine the slow adoption of HR analytics among HR professionals in the engineering and construction sector.

A cross-sectional online survey including 376 HR executives working in Indian-based engineering and construction firms was conducted. Hierarchal regression, structural equation modeling and artificial neural networks (ANN) were applied to evaluate the relative importance of HR analytics predictors.

The results reveal that hedonic motivation (HM), data availability (DA) and performance expectancy (PE) influence the behavioral intention (BI) to use HR analytics, whereas effort expectancy (EE), quantitative self-efficacy (QSE), habit (HA) and social influence (SI) act as barriers to its adoption. Moreover, PE was the most influential predictor of BI.

Based on the findings of this study, engineering and construction industry managers can formulate strategies for the implementation and promotion of HR analytics to enhance organizational performance.

This study draws attention to evidence-based decision-making, emphasizing barriers to the adoption of HR analytics. This study also emphasizes the concept of DA and QSE to enhance adoption among HR professionals, specifically in the engineering and construction industry.

HR analytics is a process for systematic computational analysis of data or statistics. It discovers, interprets and communicates significant patterns in data to enable evidence-based HR research and uses analytical insights to help organizations achieve their strategic objectives. However, its adoption and utilization among HR professionals remain a subject of concern. This study aims to determine the reasons that facilitate or inhibit the acceptance of HR analytics among HR professionals in the banking, financial services and insurance (BFSI) sector.

A sample of 387 HR professionals in BFSI firms across India was collected through non-probabilistic purposive sampling. Structural equation modeling was applied to analyze the association between predetermined variables. In addition, the predictive relevance of “Data Availability” was analyzed using hierarchical regression.

The results revealed that data availability, hedonic motivation and performance expectancy positively influenced behavioral intention (BI). In contrast, effort expectancy, social influence and habit had an insignificant effect on BI. Also, facilitating conditions (FCs), habit, BI achieved a variance of 60% in HR analytics use. The use behavior of HR analytics was significantly influenced by FCs and BIs.

This study focuses on insights into the elements that influence HR analytics adoption, revealing additional light on success drivers and grey areas for failed adoption.

This research adds to the body of knowledge by identifying factors that hinder the adoption of HR analytics in Indian organizations and signifies the relevance of easy accessibility and availability of data for technology adoption.

Based on trait activation theory and established HRM frameworks, this paper examines the effect of HR managers’ proactive personalities on their use of HRM systems in times of crisis. As ambiguity and uncertainty provide room for personal traits to unfold and HR managers gain influence in times of crisis, we hypothesise that highly proactive HR managers report more intense use of HR practices. We thereby explore a potential alternative to maximize the value derived from HRM in times of crisis and to contribute new insights about organisational and managerial crisis responses.

This paper draws on data from 269 HR managers collected during the first lockdown of the COVID-19 pandemic. Hypotheses are tested by partial least squares structural equation modeling (PLS-SEM) and multi-group analysis.

We find that a proactive personality can indeed influence the use of HR practices given that the impact of the crisis is not extremely high. This holds for HR practices that require investments (e.g., time and effort) from the HR manager, e.g., information sharing or employee involvement practices. Interestingly, we find that top management support weakens this link.

By emphasising the importance of managerial personality, we add important nuances to HRM frameworks that account for the influence of organisational actors (i.e. managers and HR managers) on HR policies and practices.

The purpose of this study is to target utilizing Human resources (HRs) data analytics that may enhance strategic business, but little study has examined how it affects components. Data analytics, HRM and strategic business require empirical investigations and how to over come HR data analytics implementation issues.

A semi-systematic methodology for its evaluation allows for a more complete examination of the literature that emerges theoretical framework and a structured survey questionnaire for quantitative data collection from IT sector personnel. SPSS analyses data.

Future research is essential for organisations to exploit HR data analytics’ performance-enhancing potential. Data analytics should complement human judgment, not replace it. This paper details these transitions, the important contributions to theory and practice and future research.

Data analytics has grown rapidly and might make HRM practices faster, more efficient and data-driven. HR data analytics may improve strategic business. HR data analytics on employee retention, engagement and organisational success is insufficient. HR data analytics may boost performance, but there is limited proof. The authors do not know how HRM data analytics influences firms and employees.

Data analytics offers HRM new opportunities, along with technical and ethical challenges. This study makes a significant contribution to HR data analytics, evidence-based practice and strategic business literature. In addition to estimating turnover risk, identifying engagement factors and planning interventions to increase retention and engagement, HR data analytics can also estimate the risk of employee attrition.

Resource orchestration theory proposes that firms need resources, capabilities, and horizontal and vertical alignment to achieve high performance. Thus, we investigate which combinations of horizontal fit of resources (commitment-based HR systems for managers and nonmanagers) and capabilities (HR flexibility) together with vertical fit with business strategy (innovation versus cost leadership strategies) relate to superior performance.

Our study is based on a sample of 113 Spanish firms from which we collected data on commitment-based HR systems for managers and nonmanagers, HR flexibility, business strategy and performance. We employ a fuzzy set qualitative comparative analysis (fsQCA) to analyze which configurations lead to firm performance.

The empirical analysis shows that both HR practices and policies (commitment-based HR systems) and HR capabilities (HR flexibility) need to be aligned for high performance. The path for performance is comprised of a combination of commitment-based HR systems for staff and HR flexibility and by the absence of an innovation strategy or commitment-based HR systems for managers, HR flexibility, and a cost leadership strategy. We also find four paths where performance relies on efficiently combining an innovation and cost leadership business strategy.

Our findings make three key contributions to the literature. First, we help elucidate multicausal relationships inside the black box of the “HR–performance” relationship for firm performance. Second, we study the vertical fit with business strategy by considering innovation and cost leadership strategies. Third, we analyze multicausal pathways, thus uncovering different combinations of resources and capabilities for performance.