Search results

The study aims to reflect on past research, uncover current trends and propose a future research agenda in the field of artificial intelligence (AI) for competency-based personalised learning.

The study followed the SPAR-4-SLR protocol to retrieve 855 articles related to the field indexed in the Scopus database. Performance analysis, network analysis and science mapping were then performed using VOSviewer and the Biblioshiny app.

The analysis identified nine clusters of intellectual structure (healthcare, competencies, learning systems, digital transformation, AI literacy, computer-aided education, AI ethics, e-learning and active learning) and twelve themes (including motor, basic, emerging and niche).

Following an extensive review of the literature, this would appear to be the first study to provide a panoramic view of AI for competency-based personalised learning based on the Scopus database. The core gaps in the current literature have been identified and the corresponding future agenda will be instrumental in shaping future research directions in the field.

The purpose of this paper is to focus on graduate work-readiness challenges in three Asia Pacific economies (Malaysia, Indonesia and Australia), and the roles of three main stakeholders (government, employers and industry) in the process. The intention of the paper is to design a stakeholder-oriented HRM model to address the identified graduate work-readiness challenges.

A qualitative triangulation method comprising interviews and focus groups was used with participant samples for each country – Australia (19), Indonesia (19) and Malaysia (15). Stakeholder-oriented HRM theory underpins the conceptual framework for the paper.

All three countries are currently experiencing difficulties attracting graduates with the required portfolio of qualifications, skills and personal capabilities. The reported effects include: constraints on national economic growth, future production structures, and long-term socio-economic development. Based on a review of the work-readiness and stakeholder-oriented HRM theory literature, it is posited that graduate work-readiness challenges can be effectively addressed by HR professionals in partnership with other key stakeholders.

The study sought the input of only three stakeholder groups for ascertaining graduate work readiness challenges, there is a strong case to include other groups including students/parents and secondary schools.

Bridging the graduate skills gap between government, employers and educational institutions is an important area in which HR professionals can contribute by reducing the mismatch between demand and supply through influencing and balancing the interests and goals of key stakeholders.

This study makes a contribution to the extant literature as it explores the role of HR professionals in relation to a multiple stakeholder strategy to address these challenges in the less-explored Asia Pacific region.

The purpose of this paper is to examine the HR roles of Bangladesh HR professionals in the public and private firms in Bangladesh using Human Resource Competency Study (HRCS) model (2016). The impact of identified HR competencies on firm performance and moderation of this relationship concerning different stages of organisation life cycle (OLC) is also explored.

This quantitative study uses the HRCS model (RBL, 2015) as its underpinning analytical framework, and explores the impact of identified HR competencies on firm performance and analyses whether this relationship is moderated by different OLC stages. The sample for this study consisted of 202 HR professionals from both public and private organisations in Bangladesh.

Results confirmed that all the nine competencies of HRCS model were demonstrated by the HR professionals in Bangladesh. The “credible activist” competency achieved the top ranking and “paradox navigator competency” recorded the lowest. Minor variation in terms of levels of competencies was observed in the context of private and public firms. HR competencies positively impacted the firm performance and only the maturity and growth stages of a firm’s life cycle moderated this relationship.

There is a deficit of studies which have tested this relationship in terms of the moderating effects of OLC stages in the Asian developing country context. Focusing on this paucity of research concerning the transference of western human resource management models in developing economies and their resultant impact on firm performance, this is the first study set out to explore whether the most cited western HRCS model (RBL, 2015) is useful in understanding HR competencies in Bangladesh.

The purpose of this paper is to conceptualise graduate work-readiness (GWR) and to develop a scale to measure it.

The methodology entailed the compilation of a literature review and the conduct of qualitative interviews and a focus group to generate items. This study used the “resource-based view” approach to conceptualise a multi-dimensional–“work-readiness integrated competence model (WRICM)”–consisting of four main factors (namely, intellectual, personality, meta-skill and job-specific resources), with a further ten sub-dimensions. Further, a series of tests were performed to assess its reliability and validity.

A final 53-item WRICM scale covering four dimensions and ten sub-dimensions of GWR was developed based on the perceptions of 362 HR professionals and managers from seven Asia-Pacific countries. The ten sub-dimensions covering 53 work-readiness skills reflect the perceptions of stakeholders regarding the work-readiness of graduates. The scale was found to be psychometrically sound for measuring GWR.

Though the WRICM model is based on the inputs of different stakeholders of GWR (employers, educators, policy makers and graduates), the development of the WRICM scale is based on the perspectives of industry/employers only.

The WRICM model has implications for education, industry, professional associations, policy makers and for graduates. These stakeholders can adapt this scale in assessing the work-readiness of graduates in different streams of education.

The authors believe that the WRICM model is the first multi-dimensional construct that is based on a sound theory and from the inputs from graduate work-readiness stakeholders from seven Asia-Pacific countries.

Human resource management (HRM) theory has transitioned in recent decades towards “human capital” and “human assets” frameworks that emphasize strategic choice and “investment”, which are concepts borrowed from strategic management, accounting and economic theories. This paper aims to explore the perspectives of strategic human asset management theory, which involves strategic agility and knowledge management.

The research was based on semi‐structured interviews with 30 senior executives of multinational firms in Canada and the USA in 2009, following the global financial crisis. The qualitative findings were analyzed using the NVivo software (version 8) package.

The research findings suggest that many North American multinational firms recognize the value of this new interpretation of HRM and are attempting to implement it through “strategic human asset management” in their own firms. The paper concludes with some practical recommendations for line managers and HR professionals in their human assets management imperatives.

The generalizability of the findings is limited by the relatively small sample size and qualitative nature of the study. However, they provide some interesting implications for HR professionals who wish to transform their role into that of a strategic business partner through innovative human asset management strategies.

The paper builds on previous research by exploring the applications of the concepts of strategic human asset management, strategic agility, and knowledge management within the context of US and Canadian multinational firms.

The purpose of this paper it to report the findings of an empirical study into managers’ job performance. A new measure was developed from the literature to test and establish the multidimensional structure of managers’ contextual and task performance.

Field ratings by executives explicitly and simultaneously measured both managers’ contextual and task performance. A cross-sectional questionnaire was administered to a variety of public and third sector managers from a range of private, public and third sector occupations residing in (Western) Australia. A purposive sample yielded a response rate of 32 percent. Factor analysis was used to determine the items that constitute executives’ perceptions of managers’ performance using downward appraisal (i.e. by the person to whom a manager reports).

The construct “managers’ job performance” was found to be multidimensional; consisting of four distinct contextual factors (Following, Persisting, Helping, Endorsing) and a further four distinct task factors (Delegating, Monitoring, Technical, Influencing).

Performance appraisals of managers represent new items and factors that more accurately reflect the nature of the broader roles undertaken by managers, including transformative and ethical leadership. Findings from this study assist in establishing the structure for the subsequent appraisal of managers’ contextual and task performance. Future researchers could test the applicability and replicability of this new instrument in more diverse industry contexts using confirmatory statistical analysis.

Human resource management (HRM) processes are increasingly artificial intelligence (AI)-driven, and HRM supports the general digital transformation of companies' viable competitiveness. This paper points out possible positive and negative effects on HRM, workplaces and workers’ organizations along the HR processes and its potential for competitive advantage in regard to managerial decisions on AI implementation regarding augmentation and automation of work.

A systematic literature review that includes 62 international journals across different disciplines and contains top-tier academic and German practitioner journals was conducted. The literature analysis applies the resource-based view (RBV) as a lens through which to explore AI-driven HRM as a potential source of organizational capabilities.

The analysis shows four ambiguities for AI-driven HRM that might support sustainable company development or might prevent AI application: job design, transparency, performance and data ambiguity. A limited scholarly discussion with very few empirical studies can be stated. To date, research has mainly focused on HRM in general, recruiting and HR analytics in particular.

The four ambiguities' context-specific potential for capability building in firms is indicated, and research avenues are developed.

This paper critically explores AI-driven HRM and structures context-specific potential for capability building along four ambiguities that must be addressed by HRM to strategically contribute to an organization's competitive advantage.