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The purpose of this paper is to argue that human resource development (HRD) needs to embrace and include futures and foresight learning (FFL) as a new addition to its field of theorising and practice. The question to consider is: How can FFL become a new feature of HRD? A key part of the authors’ argument is that the inclusion of FFL will enable HRD to add to the success of any organisation and make a vital contribution to the management of people at work.

This paper firstly considers some of the debates surrounding the meaning of HRD. The authors suggest that instability of the time serves to disturb any comforts that have been created in HRD and that there is a need to consider how there might be different futures for what we still call HRD in research, practice and praxis. This paper then considers how FFL might become one possibility for expanding the existing boundaries of HRD. The authors characterise futures and foresight as a learning process, which provides new but complementary features to what is already considered as HRD. This paper will show how FFL can lead to organisation's success and the way this can be achieved.

There is a wide variety of meanings of the term HRD; however, HRD is still cast as a “weakened profession” which has to play a subservient role to others in the workplace. Over the last 15 years, the expansion of the meaning of HRD has been seen as evidence of its evolving and emerging nature and development based on a co-creation with other disciplines. This creates a space for FFL, defined as an ongoing learning process to find predictable, probable, possible and/or a variety of long-term futures. FFL embraces three key processes of scanning, futuring and reconfiguring, all of which contain a high potential for participants and others to learn as they proceed, providing outcomes at each stage. FFL has been shown to enhance organisation performance and success and HRD interventions can play a key part in implementation. This represents a significant opportunity for the HRD profession to move from weakness towards strength.

For HRD researchers, while FFL is not yet on its radar, the authors would argue that the uncertainties of the future require that more attention be given to what might lie ahead. Indeed, HRD researchers need to ask the question: What is the future of HRD research? In addition, if the authors’ call for FFL to be included in the practice of HRD, such practice will itself provide new pathways for HRD research. Further research questions might include: To what extent is FFL practiced in organisations and what role do HRD practitioners play in delivery? How does FFL impact on organisation behaviour and outcomes? What new products and services emerge from FFL? What new skills are required to deliver FFL? Can FFL enhance the status of HRD practitioners in the work place and its role in decision-making? and How can the HRD profession develop as a hybrid profession with respect to machine learning (ML)/artificial intelligence (AI)?

FFL produces outcomes that have importance for strategy, HRD practitioner can learn to facilitate FFL by action learning and in leadership development programmes. FFL offers a significant opportunity to enhance the importance of HRD in organisations and beyond. FFL offers those involved in HRD a significant opportunity to transfer ideas into practice that have an impact on organisation sustainability. HRD can play a significant role in the design and delivery of ML and AI projects.

This paper concludes with a call for embracing FFL as a challenging but important addition to how we talk about learning at work. The authors argue that FFL offers a significant opportunity to enhance the importance of HRD in organisations and beyond. At its centre, FFL involves learning by people, groups, organisations and machines and this has to be of concern to HRD.

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 their own impartial comments and places the articles in context.

The HRD function has scope to play a more prominent role within an organization through involvement with futures and foresight learning (FFL). This helps transform HRD into a more hybrid function involved in the FFL processes that identify various possible futures and shape decision-making accordingly. The function also has responsibility for ensuring that Industry 4.0 technologies like machine learning and artificial intelligence are utilized ethically and not to the detriment of human input.

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.

AUSTRALIA, waste deserts where emus and kangaroos still have first claim on the land; desolation; drought; ingenious methods of irrigation; lone eucalyptus trees like grey‐green balls, thinly spread over the yellow, dry grass‐land; arid savannas; magic scenery; fertile plains where beef cattle and sheep graze; golden glittering citrus orchards; blue plastic‐covered bunches heavily creaking in the banana patches on sun‐drenched eastern slopes; twittering creeks at which soft‐haired Jersey calves sip the water; thick impenetrable, subtropical rain‐forest with a wild beauty; ravines; trees which seem to grow into the sky; flowers, flowers, flowers; and birds in sparkling colours. Yes, those are some memory images.

WITH the Pompey doldrum in mind, many misgivings were expressed about the Rothesay conference as the delegated gravy trains raced north to Glasgow. (Incidentally Sir Brian Robertson will find comfort in our belief that rail travel is the most satisfying way to attend conference with corridor exchanges and dining car badinage shortening the long haul).

With the Pompey doldrum in mind, many misgivings were expressed about the Rothesay conference as the delegated gravy trains raced north to Glasgow. (Incidentally Sir Brian Robertson will find comfort in our belief that rail travel is the most satisfying way to attend conference with corridor exchanges and dining car badinage shortening the long haul).

VINE is produced at least four times a year with the object of providing up‐to‐date news of work being done in the automation of library housekeeping processes, principally in the UK. It is edited and substantially written by Tony McSean, Information Officer for Library Automation based in Southampton University Library and supported by a grant from the British Library Research and Development Department. Copyright for VINE articles rests with the British Library Board, but opinions expressed in VINE do not necessarily relect the views and policies of the British Library. The subscription to VINE is £10 per year and the subscription period runs from January to December.

This paper aims to conduct an analysis of management research based on impact measures, with a focus on the accounting discipline and the environment theme. Using author and journal data as units of analysis, this study seek to determine the representation of environmental accounting researchers among the most cited accounting authors and the consideration given to environmental issues in the impact assessment of management journals.

This study collects and quantitatively analyzes the publications and citations of the 50 most cited accounting authors and run a principal component analysis on a collection of journal-centered indicators and rankings.

This study finds that – among the most cited accounting authors – environmental accounting researchers hold a relatively influential position although their research is mainly published in non-top-tier accounting journals. This study also documents that some environment-themed journals suffer from significant disadvantages in peer-reviewed journal rankings.

Environmental accounting researchers are likely to disseminate their research in other media than in top-tier journals. This may have an impact on the academic viability of this field.

Despite their strong connection to societal issues, some research themes could become understudied if journal rankings are not able to consider publication outlets in a more comprehensive way. There is a strong need for a broader consideration of scientific production, particularly in relation to its overall societal impact.

To the best of the authors’ knowledge, this is the first time an empirical analysis, combining author and journal data and documenting such findings, has been presented for publication. This study means to provide some descriptive insights into where environmental accounting researchers and environment-themed journals stand.

The goal of this paper is to validate the second-order model for the economic welfare scale in the context of violence. This study also aims to assess the relationship between the dimensions of the economic welfare scale’ declining food consumption and loss of income and the overall latent construct and assess the second-order model’s goodness of fit using appropriate fit indices.

The study is cross-sectional with a sample of 600 households from the violent zone, Northwest Nigeria. The data collected was used for confirmatory factor analysis, second-order model evaluation and model fit evaluation.

The second-order model for the economic welfare scale is valid and reliable; the dimensions significantly affect the formation of the overall construct. The model’s goodness of fit fulfilled the relevant fit indices.

The study offers researchers and policymakers practical insights into how each dimension influences the latent operational construct. It, therefore, encompasses replication in all the remaining modules.

The findings offer practical insight to policymakers in designing policies for promoting long-term peace structures and developing mechanisms to assist those who have suffered the greatest economic welfare losses due to violence in Nigeria.

The findings form an essential tool to assess the economic welfare effect in violently affected territories at the micro-level.

The outcomes are ground-breaking by validating the second-order model for the economic welfare scale. And established dimension influences over the overall latent variable.