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This paper aims to examine transferable skills and viable career transition pathways for hospitality and tourism workers. Future career prospects are discussed, along with the importance of reskilling for low-wage hospitality workers.

A network analysis is conducted to model skill relationships between the hospitality industry and other industries such as health-care and information technology. Multiple data are used in the analysis, including data from the US Department of Labor Occupational Information Network (O*NET), wage data from the Bureau of Labor Statistics and job computerization data (Frey and Osborne, 2017).

Although hospitality workers have lower than average skills scores when compared to workers from other career clusters included in the analysis, they possess essential soft skills that are valuable in other industries. Therefore, improving hospitality workers’ existing soft skills may help them enhance their cross-sector mobility, which may allow them to obtain jobs with a lower likelihood of computerization.

The findings shed light on workforce development theories and practice in the hospitality industry by quantitatively analyzing cross-sector skill correlations. Sharpening transferable soft skills will be essential to enhancing hospitality workers’ career development opportunities.

To the best of the authors’ knowledge, this is the first study that specifically examines the skill taxonomy for the hospitality industry and identifies its connection with other in-demand career clusters.

With new hybrid working models in place post COVID-19, it is requisite that knowledge workers (KWs) stay agile. Knowledge-oriented leadership (KOL) can help employees with essential knowledge acquisition (KA) facilitating the journey toward hybrid work agility (HWA). This study, thus, aims to explore the impact of KOL and KA on HWA and reveal whether this effect stems uniformly from a single homogenous population or if there is unobserved heterogeneity leading to identifiable segments of agile KWs.

Data was collected through stratified sampling from 416 employees from 20 information technology enabled services companies involved in knowledge-intensive tasks. Partial least squares (PLS) structural equation modeling approach, using SMART PLS 4.0, has been applied to examine the effect of KOL and KA on HWA. Finite mixture PLS, PLS prediction-oriented segmentation and multigroup analysis have been used to identify segments, test segment-specific path models and analyze the significance of the differences in the path coefficients for unobserved heterogeneity. Predictive relevance of the model has been determined using PLS Predict.

Results indicate that KOL contributes to employees’ KA and HWA. A significant positive relationship is also reported between KA and HWA. The model has medium predictive relevance. A two-segment solution has been delineated, wherein independent agile KWs (who value autonomy and personal agency over leadership for KA) and dependent agile KWs (who depend on leaders for relational and structural support for KA) have been identified. Thus, KOL and KA play a differential role in determining HWA.

The authors’ major contribution to the knowledge body constitutes the determination of antecedents of HWA and a typology of agile KWs. Future researchers may conduct segment-wise qualitative analysis to delineate other variables that contribute to HWA.

Technological advances necessitate that knowledge-intensive industries foster agility in employees for strategic agility of the organization. For effecting agile adaption of an organization to the knowledge economy conditions, it is pertinent that the full potential of this human resource be used. By profiling HWA of KWs on the basis of dimensions of KOL and the level of their KA, organizations will be able to help employees adapt better to rapidly changing work conditions.

HWA is a novel concept and very germane in a hybrid working environment. To the best of the authors’ knowledge, this is the first study to examine the effects of the dimensions of KOL and KA in relation to HWA, along with an empirical examination of unobserved heterogeneity in the aforementioned relationship.

The purpose of this paper is to frame empirical literature on talent management (TM), and to provide a clear and comprehensive picture of the topics under investigation, the conceptualization of TM, and under-explored areas.

The authors adopted a systematic review that covers empirical research on TM which has been published between 2006 and 2014 in academic peer-reviewed journals. A total of 96 articles were included in the review. A bibliometric as well as a content analysis has been carried out.

The results reveal that the Anglo-Saxon context (in particular EU) has a great impact on empirical TM research. Also research foundations and designs are not very rigorous. A slight awareness of context and culture was found. Empirical TM research is predominantly built on an exclusive approach to TM. Yet, how TM works in practice and how well (from the perspective of multiple actors) as well as the role and perceptions of line managers are under-explored areas.

The paper gives vision and direction to practitioners in particular on the definition of talent and TM.

This study frames the extent and nature of empirical research on TM, and it is the first to specifically and objectively examine the advances made in the field and to identify under-explored areas. By doing so, it helps to avoid presumptions and misguided beliefs, to advance the knowledge of TM issues in organizations and regions, and to better channel future research.

A survey study was conducted in seven best practice organizations in the field of talent management. By cross‐checking their existing high potential lists, the authors aimed to examine to which extent assessments of learning agility were able to predict being identified as a high potential or not above and beyond a baseline prediction by job performance. Furthermore, they aimed to investigate whether learning agility increased with career variety.

The study had a case‐control design, comparing supervisor ratings of employees recently identified as high potentials (n=32) with supervisor ratings of a carefully matched control group of non‐high potentials (n=31).

Learning agility (mediated by job content on‐the‐job learning) was found to be a better predictor of being identified as a high potential than job performance. Career variety was found to be positively associated to learning agility.

This study's design did not allow for the demonstration of causal effects. Longitudinal studies are needed to further clarify the causality of these findings and their implications for organizational performance.

Organizations should do well to incorporate measures of learning agility into their high potential identification and development processes. Furthermore, they need to reflect on how HRM practices might enhance their high potentials' career variety and commitment.

The current study responds to urgent calls in the literature for more empirical research on the identification and development of high potentials, as well as on career variety.

This paper aims to represent an exploration of drivers of workforce agility under the lens of dynamic capabilities to advance the existing workforce literature on agility and strategic human resource management.

In-depth qualitative interviews with senior information technology professionals, managers, directors and leadership were conducted. Data coding and analysis followed the Gioia methodology to develop a theoretical framework.

The theoretical paradigm of workforce agility is seeing revisions. In the past it was solely connected to resource-based view theory, current literature superficially speaks of the link with dynamic capability but lacks comprehensive and strategic understanding. The research brings in the evolutionary change by viewing workforce agility directly under the lens of dynamic capability theory and recognizes workforce agility as a high-level strategy. Based on the analysis of the qualitative interviews this study has developed a conceptual heuristic of workforce agility drivers, interlinked with dynamic capabilities micro-foundations – “sensing”, “seizing”, and “continual renewal”. This paper conceptualizes workforce agility as a response to high pressures for the dynamic capability of the company, which requires reconfiguration and redeployment of external and internal human resources and an inherent need to bring some stability to the internal resources of the company.

There is a growing body of literature linking organizational agility with dynamic capabilities, which overlooks workforce agility. This study is theory-based research on workforce agility, which guides practitioners in making human resource processes more agile.

The purpose of this research is to determine key behaviours to be efficient in identifying and developing employees' talent. The article aims to address the relationship between learning agility and job crafting, the influence between them, and how this relationship is built to improve performance and adaptability. For this purpose, the research has analysed which behaviours obtain the highest scores in both scales (job crafting and learning agility), designing the tool which allows Human Resources (HR) professionals an efficient identification and development behaviours to get the versatile talent that companies and professionals of the future need.

Using the questionnaire that has integrated the learning agility scale and the Spanish job crafting scale. Data were collected from a sample of business professionals in Spain. Factor analysis and hierarchical cluster analysis were used, using a classificatory variable with the 126 valid responses obtained.

In an ever-changing environment, continuous employee adaptation to his/her role within a company is a critical factor for its survival. However, there is a paucity of large-scale empirical research on which behaviours employees have to develop to increase their adaptative skills. Drawing on the outcome of extant literature, the authors identify learning agility as the construct that firms have to encourage in their employees to impact job crafting. The contribution of the paper is twofold: (1) the authors empirically explored the association and the effects of learning agility and its factor on the development of job crafting. Results demonstrated the association between the two constructs; further, higher scores in both learning agility and job crafting predict increased employability, and higher scores in job crafting are associated with higher scores in change agility; (2) this study provides a multidimensional instrument that provides HR departments with the key behaviours to recruit in order to develop talent to prepare employees to face future challenges, ensuring the right performance and sustainable impact in the environment.

A limitation of this study is that it is done exclusively within Spanish companies, even though from different industries and with different characteristics. Therefore, future research is necessary and should be conducted in other countries in similar industries to explore the empirical findings from this study in additional contexts.

This research has found a tool that might allow HR departments to measure what level of job crafting and learning agility their employees have and to identify what key behaviours they need to focus on in the recruitment or in their internal strategic HR action plan to overcome any future challenges in their organization.

In a scenario where artificial intelligence is modifying the professional landscape, generating uncertainty about which skills are best to develop, the results are a guide for enterprises as to where to focus plans for learning and training, as well as for business schools regarding the content provided in training programs.

The authors advance the literature by providing a theoretical base for understanding the relationship between job crafting and learning agility. This article offers some practical managerial recommendations that help the human resources department focus on behaviours that allow talent to be identified and recruited to ensure an effective organization.

The purpose of this review is to evaluate existing learning agility measures and offer recommendations for their use in organizational and scholarly contexts.

This is a general review paper assessing the psychometric qualities of prevalent learning agility measures. Measures were selected based on their predominance and use in the learning agility literature and organizational settings.

Learning agility measurement is an area requiring further research. Multiple conceptualizations of learning agility exist, making the true structure of learning agility unclear. The learning agility measures in the academic literature deviate from learning agility’s traditional conceptualization and require further validation and convergent validity studies. Commercial measures of learning agility exist, but their development procedures are not subjected to peer review and are not widely used in academic research, given the cost associated with their use.

Learning agility is prevalently used in organizational settings and is receiving increased scholarly attention. Various conceptualizations and measurement tools exist, and it is unclear how these theories and measures relate and differ. This paper contributes to practice by providing practical guidelines and limitations for measuring learning agility.

Learning agility was initially conceived as a multidimensional construct comprising people agility, results agility, change agility and mental agility. As the construct has evolved, the dimension structure of the measure has evolved as well. This study addresses a gap in our current understanding of how to conceptualize and measure learning agility.

This study aims to focus on assessing the influence of human resource development (HRD) interventions and learning agility (LA) on organizational innovation (OI).

Based on the social exchange theory, the theoretical research model was developed in this study. This study used cross-sectional data to test the research hypotheses. In addition, partial least square structured equation modelling was used to analyse 413 sample responses from Indian managerial professionals.

The findings suggest that HRD interventions and LA have an effect on OI. Additionally, age as a control factor also influences OI.

The study’s findings show that an organization must use HRD interventions effectively to improve innovation. Additionally, learning agile employees also helps in bringing innovation to an organization.

This study is one of its kind in exploring LA for OI by using the existing LA scale. Further, this study is a significant contribution to the existing literature by using HRD interventions, LA and OI in an extensive research model.

This paper aims to review the latest management developments across the globe and pinpoint practical implications from cutting‐edge research and case studies.

This briefing is prepared by an independent writer who adds his own impartial comments and places the articles in context.

There was a time when employees who had worked for many different organizations over various industries might have had their rich experience counted against them when applying for a new position. “Seems he/ she can't stick at a job” or “They don't seem to have made up their mind what they want to do” are typical of those blinkered attitudes.

The paper provides strategic insights and practical thinking that have influenced some of the world's leading organizations.

The briefing saves busy executives and researchers hours of reading time by selecting only the very best, most pertinent information and presenting it in a condensed and easy‐to digest format.