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Article
Publication date: 23 February 2024

Kate Thornton

This article aims to contribute to a clearer understanding of the importance of mentor preparation and provide recommendations for effective mentor preparation programmes based on…

Abstract

Purpose

This article aims to contribute to a clearer understanding of the importance of mentor preparation and provide recommendations for effective mentor preparation programmes based on the literature.

Design/methodology/approach

A narrative review of a range of literature focussing on the importance and characteristics of effective mentor practice and preparation.

Findings

Many mentors working in educational contexts lack adequate preparation, and a shift in mentoring practice from a mentor as expert approach, which mentors are likely revert to without training, to a more collaborative relationship in line with educative mentoring is recommended. Relationship building, working collaboratively and encouraging critical reflection are essential mentoring capabilities, and can be supported by participation in effective mentoring preparation programmes. Characteristics of these programmes include: providing time for mentors to reflect on their personal capabilities and attitudes; strengthening their knowledge about mentoring and learning a range of approaches and tools.

Practical implications

Implications for mentor preparation include consideration of curricula that focus on the nature of effective mentoring relationships, provision of effective observation-based feedback and the facilitation of critical reflection. Blended learning models appear to have potential and organisational leaders need to recognise and value mentoring to ensure that it is prioritised.

Originality/value

This article makes a valuable contribution to our understanding of the nature of effective mentor preparation programmes.

Details

International Journal of Mentoring and Coaching in Education, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 2046-6854

Keywords

Article
Publication date: 26 September 2023

Melanie Barlow, Bernadette Watson, Kate Morse, Elizabeth Jones and Fiona Maccallum

The response of the receiver to a voiced patient safety concern is frequently cited as a barrier to health professionals speaking up. The authors describe a novel Receiver Mindset…

Abstract

Purpose

The response of the receiver to a voiced patient safety concern is frequently cited as a barrier to health professionals speaking up. The authors describe a novel Receiver Mindset Framework (RMF) to help health professionals understand the importance of their response when spoken up to.

Design/methodology/approach

The framework draws on the broader receiver-focussed literature and integrates innovative findings from a series of empirical studies. These studies examined different receiver behaviour within vignettes, retrospective descriptions of real interactions and behaviour in a simulated interaction.

Findings

The authors' findings indicated that speaking up is an intergroup interaction where social identities, context and speaker stance intersect, directly influencing both perceptions of and responses to the message. The authors' studies demonstrated that when spoken up to, health professionals poorly manage their emotions and ineffectively clarify the speaker's concerns. Currently, targeted training for receivers is overwhelmingly absent from speaking-up programmes. The receiver mindset framework provides an evidence-based, healthcare specific, receiver-focussed framework to inform programmes.

Originality/value

Grounded in communication accommodation theory (CAT), the resulting framework shifts speaking up training from being only speaker skill focussed, to training that recognises speaking up as a mutual negotiation between the healthcare speaker and receiver. This framework provides healthcare professionals with a novel approach to use in response to speaking up that enhances their ability to listen, understand and engage in point-of-care negotiations to ensure the physical and psychological safety of patients and staff.

Details

Journal of Health Organization and Management, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1477-7266

Keywords

Article
Publication date: 3 November 2023

Rajeev R. Bhattacharya and Mahendra R. Gupta

The authors provide a general framework of behavior under asymmetric information and develop indices of diligence, objectivity and quality by an analyst and analyst firm about a…

Abstract

Purpose

The authors provide a general framework of behavior under asymmetric information and develop indices of diligence, objectivity and quality by an analyst and analyst firm about a studied firm, and relate them to the accuracy of its forecasts. The authors test the associations of these indices with time.

Design/methodology/approach

The test of Public Information versus Non-Public Information Models provides the index of diligence, which equals one minus the p-value of the Hausman Specification Test of Ordinary Least Squares (OLS) versus Two Stage Least Squares (2SLS). The test of Objectivity versus Non-Objectivity Models provides the index of objectivity, which equals the p-value of the Wald Test of zero coefficients versus non-zero coefficients in 2SLS regression of the earnings forecast residual. The exponent of the negative of the standard deviation of the residuals of the analyst forecast regression equation provides the index of analytical quality. Each index asymptotically equals the Bayesian ex post probability, by the analyst and analyst firm about the studied firm, of the relevant behavior.

Findings

The authors find that ex post accuracy is a statistically and economically significant increasing function of the product of the indices of diligence, objectivity and quality by the analyst and analyst firm about the studied firm, which asymptotically equals the Bayesian ex post joint probability of diligence, objectivity and quality. The authors find that diligence, objectivity, quality and accuracy did not improve with time.

Originality/value

There has been no previous work done on the systematic and objective characterization and joint analysis of diligence, objectivity and quality of analyst forecasts by an analyst and analyst firm for a studied firm, and their relation with accuracy. This paper puts together the frontiers of various disciplines.

Details

Journal of Accounting Literature, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0737-4607

Keywords

Article
Publication date: 13 June 2023

Thu Huong Tran, Wen-Min Lu and Qian Long Kweh

This study aims to examine how environmental, social and governance (ESG) initiatives and ISO 14001, which is an internationally agreed standard to set out the requirements for an…

Abstract

Purpose

This study aims to examine how environmental, social and governance (ESG) initiatives and ISO 14001, which is an internationally agreed standard to set out the requirements for an environmental management system, affect firm performance in the context of the Industry 4.0 supply chain.

Design/methodology/approach

The authors develop a new chance-constrained network data envelopment analysis (DEA) in the presence of non-positive data to estimate innovation, operational and profitability performances for three main relation groups (suppliers, partners and customers) in Microsoft's supply chain.

Findings

Results of this study show the following: (1) the application of ISO 14001 will reduce profitability but increase overall performance (OP); (2) ESG implementation has a convex U-shaped influence on profitability and OP, which means that firms will benefit when ESG investment goes beyond a particular level; (3) the nonlinear U-shape is presented in the E and G components, but not in the S of the individual ESG initiatives, and (4) only specific subcomponents of S and G in the subcomponent of individual ESG initiatives are nonlinearly connected to OP. Research's results reveal that the customer group has a higher performance value than the other two groups, which suggests that this group will create competitive advantages for Microsoft.

Originality/value

Overall, the authors provide an insightful viewpoint into supply chain management by examining the ESG initiatives, ISO 14001 and performances of Microsoft's supply chain.

Details

Kybernetes, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0368-492X

Keywords

Open Access
Article
Publication date: 20 March 2023

Kudakwashe Chirambwi

This paper argues for the need to use multiple sources and methods that respond to research challenges presented by new forms of war. There are methodological constraints and…

Abstract

Purpose

This paper argues for the need to use multiple sources and methods that respond to research challenges presented by new forms of war. There are methodological constraints and contention on the superiority given to positivist and interpretivist research designs when doing fieldwork in war situations, hence there is a need to use integrated data generation techniques. The combined effect of severe limitations of movement for both the researcher and researched fragmented data because of polarized views about the causes of the war and unpredictable events that make information hard to come by militate against systematic, organised and robust data generation. The purpose of this paper, therefore, is to make fieldwork researchers understand significant research problems unique to war zones.

Design/methodology/approach

This research was guided by the postmodernist mode of thought which challenges standardised research traditions. Fieldwork experiences in Cabo suggest the need to use the composite strategies that rely on the theoretical foundation of integrative and creative collection of data when doing research in violent settings.

Findings

The fieldwork experiences showed that the standardised, conventional and valorised positivist and ethnographic research strategies may not sufficiently facilitate understanding of the dynamics of war. There should not be firm rules, guidelines or regulations governing the actions of the researcher in conflict. As such, doing research in violent settings require reflexivity, flexibility and creativity in research strategies that respond to rapid changes. Research experiences in Mozambique show the need to use blended methods that include even less structured methodologies.

Originality/value

Fieldwork experiences in Cabo challenges researchers who cling to standardised research traditions which often hamper awareness of new postmodernist mode of thought applicable to war settings. It is essential to study the nature of African armed conflicts by combining creativity and flexibility in the selection of research strategies.

Details

Journal of Humanitarian Logistics and Supply Chain Management, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 2042-6747

Keywords

Article
Publication date: 19 December 2023

Salima Hamouche, Norffadhillah Rofa and Annick Parent-Lamarche

Artificial intelligence (AI) is a significant game changer in human resource development (HRD). The launch of ChatGPT has accelerated its progress and amplified its impact on…

Abstract

Purpose

Artificial intelligence (AI) is a significant game changer in human resource development (HRD). The launch of ChatGPT has accelerated its progress and amplified its impact on organizations and employees. This study aims to review and examine literature on AI in HRD, using a bibliometric approach.

Design/methodology/approach

This study is a bibliometric review. Scopus was used to identify studies in the field. In total, 236 papers published in the past 10 years were examined using the VOSviewer program.

Findings

The obtained results showed that most cited documents and authors are mainly from computer sciences, emphasizing machine learning over human learning. While it was expected that HRD authors and studies would have a more substantial presence, the lesser prominence suggests several interesting avenues for explorations.

Practical implications

This study provides insights and recommendations for researchers, managers, HRD practitioners and policymakers. Prioritizing the development of both humans and machines becomes crucial, as an exclusive focus on machines may pose a risk to the sustainability of employees' skills and long-term career prospects.

Originality/value

There is a dearth of bibliometric studies examining AI in HRD. Hence, this study proposes a relatively unexplored approach to examine this topic. It provides a visual and structured overview of this topic. Also, it highlights areas of research concentration and areas that are overlooked. Shedding light on the presence of more research originating from computer sciences and focusing on machine learning over human learning represent an important contribution of this study, which may foster interdisciplinary collaboration with experts from diverse fields, broadening the scope of research on technologies and learning in workplaces.

Details

European Journal of Training and Development, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 2046-9012

Keywords

Article
Publication date: 18 May 2023

Ena Vejnovic, Sharon Purchase and Liudmila Tarabashkina

To this date, research on tensions has been carried out on business networks and value co-creation, with no studies exploring tensions within the marketing services context. This…

Abstract

Purpose

To this date, research on tensions has been carried out on business networks and value co-creation, with no studies exploring tensions within the marketing services context. This study aims to use the three tension categories proposed by Toth et al. (2018) and Pressey and Vanharanta (2006) to address this gap by identifying the tensions experienced in the market research agency (MRA), creative agency (CA) and client relationship, as well as the processes that increase or minimize these tensions.

Design/methodology/approach

A total of 25 in-depth interviews were carried out with MRA, CA and client employees. NVivo 12 was used to conduct a thematic analysis to identify the overarching processes that influenced tensions.

Findings

Six second-order codes were identified, designating processes that exacerbated or minimized each of the three tensions experienced. Two new processes were identified (“adopting governance processes” and “aspects of identity formation”) which have not been previously reported. An empirical framework was developed pinpointing processes that influenced each tension category, also highlighting complex interdependencies between behavioral, emotional and structural tensions.

Originality/value

This study presents the perspectives of all actors within the marketing services triad providing a more nuanced understanding of tensions at the triadic level, as previous literature predominantly focused either on dyads or on networks. Furthermore, this study highlights important interdependencies between tension categories, providing novel contributions, as well as directions for future research.

Details

Journal of Business & Industrial Marketing, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0885-8624

Keywords

Article
Publication date: 28 February 2023

Zhisheng Chen

This study aims to explore the application scenarios of metaverse offices in organizations, including immersive work experiences, weak social networks and virtual meetings. Based…

Abstract

Purpose

This study aims to explore the application scenarios of metaverse offices in organizations, including immersive work experiences, weak social networks and virtual meetings. Based on the exploration of this application scenario, this study discusses four levels of organizational change that will be brought about by the future metaverse office, such as the inter-enterprise ecological collaboration model, distributed autonomous organization, flexible leadership and individual belongingness. The metaverse office has some special advantages over traditional office models, but the metaverse office still raises some issues, such as privacy, security, addiction, equity and usability. These issues brake the widespread adoption of metaverse technologies. The study recommends that researchers take these issues into account in future metaverse research and development.

Design/methodology/approach

This study surveys the relevant literature by means of a literature review in order to analyze how metaverse technology can be applied to teleworking. Two databases including Web of Science (https://www.webofscience.com/) and Google Scholar (http://scholar.google.com) were selected for this study. Keywords such as “teleworking and metaverse” were used, and 18 publications were found to be relevant to the study. After excluding duplicates, less relevant and older literature, only 14 articles could be used as references for this study. Based on the exploration of this application scenario, this study discusses four levels of organizational change and issues that will be brought about by the metaverse office of the future.

Findings

It presents the application scenarios of the metaverse office in organizations, including immersive work experience, weak social networking and virtual meetings.

Social implications

The pandemic triggers a desire for contactless working. The three main applications of the metaverse office also have a practical value which has been proven in some high-tech companies. It is foreseeable that an efficient, electronic and personalized office model will be enthusiastically adopted by society. Metaverse office will gradually step into people's view in the future.

Originality/value

The concept of the metaverse office has rarely been touched upon by theoretical research, although the technology is gradually becoming known. Even its application to teleworking has only recently been reached by some organizations.

Details

Kybernetes, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0368-492X

Keywords

Article
Publication date: 8 March 2024

Feng Zhang, Youliang Wei and Tao Feng

GraphQL is a new Open API specification that allows clients to send queries and obtain data flexibly according to their needs. However, a high-complexity GraphQL query may lead to…

Abstract

Purpose

GraphQL is a new Open API specification that allows clients to send queries and obtain data flexibly according to their needs. However, a high-complexity GraphQL query may lead to an excessive data volume of the query result, which causes problems such as resource overload of the API server. Therefore, this paper aims to address this issue by predicting the response data volume of a GraphQL query statement.

Design/methodology/approach

This paper proposes a GraphQL response data volume prediction approach based on Code2Vec and AutoML. First, a GraphQL query statement is transformed into a path collection of an abstract syntax tree based on the idea of Code2Vec, and then the query is aggregated into a vector with the fixed length. Finally, the response result data volume is predicted by a fully connected neural network. To further improve the prediction accuracy, the prediction results of embedded features are combined with the field features and summary features of the query statement to predict the final response data volume by the AutoML model.

Findings

Experiments on two public GraphQL API data sets, GitHub and Yelp, show that the accuracy of the proposed approach is 15.85% and 50.31% higher than existing GraphQL response volume prediction approaches based on machine learning techniques, respectively.

Originality/value

This paper proposes an approach that combines Code2Vec and AutoML for GraphQL query response data volume prediction with higher accuracy.

Details

International Journal of Web Information Systems, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1744-0084

Keywords

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