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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: 8 September 2023

Michelle McClelland, Sara Grobbelaar and Natasha Sacks

This paper aims to explore the growth of the South African additive manufacturing (AM) industry over the past 31 years through the lens of the innovation system (IS) perspective…

Abstract

Purpose

This paper aims to explore the growth of the South African additive manufacturing (AM) industry over the past 31 years through the lens of the innovation system (IS) perspective, examining the actor dynamics and mechanisms that facilitated or hindered the industry’s development.

Design/methodology/approach

The study used a case study research approach, analysing semi-structured interviews with eight South African AM experts and documentary evidence. The IS framework and the realist evaluation perspective were used, using a context-intervention-mechanism-outcome (CIMO)-based event history analysis (EHA) framework to explore the actor dynamics and mechanisms of the case study.

Findings

The study used a case study research approach, analysing semi-structured interviews with eight South African AM experts and documentary evidence. The IS framework and the realist evaluation perspective were used, using a CIMO-based EHA framework to explore the actor dynamics and mechanisms of the case study.

Originality/value

This paper contributes to the South African AM industry literature by providing an overview of the industry events over the past three decades and analysing the industry through the IS framework. The study is among the first to analyse the development of the South African AM industry, presenting innovation scholars and managers with valuable decision-making support by providing insights into the innovation activities performed during each stage of the industry’s development, who performed them, the sequence in which they were performed and the outcomes they delivered.

Details

Rapid Prototyping Journal, vol. 29 no. 10
Type: Research Article
ISSN: 1355-2546

Keywords

Case study
Publication date: 19 October 2023

Bilgehan Bozkurt

The author employed a five-step approach: Data (e.g., qualitative primary and secondary data) collection (about a major project at the examined organisation), Critical thinking…

Abstract

Research methodology

The author employed a five-step approach: Data (e.g., qualitative primary and secondary data) collection (about a major project at the examined organisation), Critical thinking (in order to determine the dilemma), Setting learning objectives (e.g., with respect to the Bloom's taxonomy), Testing (in order to confirm the teaching plan) (e.g., with research assistants and doctoral candidates), and Ensuring clarity (e.g., especially for the case narrative).

Case overview/synopsis

The site manager at a UNESCO World Heritage Site by the name Ephesus in Türkiye (Turkey) was considering who would update the site management plan. UNESCO was regularly asking for updates. Would site management outsource the management plan from a firm? For example, the site management had had an outside firm develop the management plan and Ephesus had become a UNESCO World Heritage Site. Otherwise, would the site management rely on their own experience this time? Was there another way?

Complexity academic level

The educators could use the case study to introduce graduate students to “the value conception” in “marketing management” courses and to “the social exchange school of thought” in “marketing theory” courses. The learning objectives develop over the tension between owning and outsourcing main responsibilities of a scientific field as well as the tension between claims and objective evaluations. “The value conception” in “the social exchange school of thought” could improve planning in favour of humanity in a way that the United Nations could recognise (e.g., “value-based planning”). Corresponding discussions motivate a main question about the future: What is marketing for?

Details

The CASE Journal, vol. ahead-of-print no. ahead-of-print
Type: Case Study
ISSN: 1544-9106

Keywords

Article
Publication date: 1 April 2024

Pauline Anne Found, Dnyaneshwar Mogale, Ziran Xu and Jianhao Yang

Corona Virus Disease (Covid-19) is a global pandemic that emerged at the end of 2019 and caused disruptions in global supply chains, particularly in the food supply chains that…

Abstract

Purpose

Corona Virus Disease (Covid-19) is a global pandemic that emerged at the end of 2019 and caused disruptions in global supply chains, particularly in the food supply chains that exposed the vulnerability of today’s food supply chain in a major disruption which provided a unique research opportunity. This review explores the current research direction for food supply chain resilience and identifies gaps for future research in preparing for future major global pandemics.

Design/methodology/approach

This article presents a review of food supply chain resilience followed a systematic literature review of the business and management-based studies related to the food supply chain in Covid-19 published between December 2019 and December 2021 to identify the immediate issues and responses that need to be addressed in the event of future disruptions in food supply chains due to new global health threats.

Findings

The study revealed the need for more literature on food supply chain resilience, particularly resilience to a major global pandemic. The study also uncovered the sequence of events in a major pandemic and identified some strategies for building resilience to potential future risks of such an event.

Research limitations/implications

The limitations of this study are apparent. Firstly, the selection of databases is not comprehensive. Due to time limitations, authoritative publishers such as Springer, Emerald, Wiley and Taylor & Francis were not selected. Secondly, a single author completed the literature quality testing and text analysis, possibly reducing the credibility of the results due to subjective bias. Thirdly, the selected literature are the studies published during the immediate event of Covid-19, and before January 2022, other research studies may have been completed but were still in the state of auditing at this time.

Originality/value

This paper is the first study that provides a detailed classification of the immediate challenges to the food supply chain faced in both upstream and downstream nodes during a major global disruption. For researchers, this clearly shows the immediate difficulties faced at each node of the food supply chain, which provides research topics for future studies.

Details

Journal of Manufacturing Technology Management, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1741-038X

Keywords

Article
Publication date: 6 February 2024

Muhammad Ashraf Fauzi and Mohamed Battour

This study aims to provide a comprehensive and systematic review of halal tourism structure using bibliometric analysis. Halal tourism interest has increased due to the high…

Abstract

Purpose

This study aims to provide a comprehensive and systematic review of halal tourism structure using bibliometric analysis. Halal tourism interest has increased due to the high demand for tourism products adhering to Shariah law. Furthermore, the vast Muslim population has increased the demand for halal tourism products and destination factors in this niche tourism segment.

Design/methodology/approach

A network visualization through bibliographic coupling and co-word analysis, this review presents a science mapping analysis to reveal the knowledge structure of emerging and future trends in halal tourism.

Findings

The current and emerging trends demonstrate three themes: the fundamentals of halal tourism, communication via word of mouth in halal tourism and Muslim tourist satisfaction and loyalty. At the same time, the co-word analysis presents the four themes primarily associated with halal tourism challenges: tourist satisfaction, service quality and Muslim travellers’ attraction.

Research limitations/implications

The findings serve as crucial implications, contributing to halal and general tourism theory and application.

Originality/value

This review serves as crucial fundamental knowledge for future studies in halal tourism and its relevant themes for further development in tourism management. The most significant emerging theme in halal tourism is the intervention needed to increase Muslim tourist satisfaction and loyalty through halal-friendly service, customer-service quality, foods and beverages, facilities and privacy. The co-word analysis suggests increasing tourists’ engagement in halal tourism by invigorating the religiosity domain among tourists, improving service quality and perceived value and discovering new Muslim-friendly attractions. The most crucial finding from this study is to ensure that halal and Muslim-friendly tourism are at the same level, to the extent of better service according to Islamic practice. This approach would elevate the value and status of halal tourism as a trending product in Muslim and non-Muslim markets.

Article
Publication date: 11 January 2024

Maria Luiza de Souza Morato and Karine Araujo Ferreira

The pupose of this study is to systematically review the current literature on the value stream mapping (VSM) application in the construction industry to investigate the evolution…

Abstract

Purpose

The pupose of this study is to systematically review the current literature on the value stream mapping (VSM) application in the construction industry to investigate the evolution observed over time and the results obtained by adopting this tool. In addition, special attention was given to the potential of VSM in identifying loss and waste, as well as their main causes.

Design/methodology/approach

The study analyses papers in literature using Preferred Reporting Items for Systematic Reviews and Meta-Analyses research protocol. As a result, 383 papers were initially identified, and 47 papers were selected.

Findings

It was observed that the number of studies addressing this topic has been increasing over the past decade and findings related to the evolution, application and the benefits obtained from the VSM application in context of construction were presented. Additionally, the authors found that the two most cited lean wastes were waiting and defects in the production chain. The main causes of this waste and loss were also identified in this work.

Practical implications

This paper contributes by presenting the applicability of VSM as a tool in the construction as found in the literature. For academics, it will be possible to clearly observe research gaps and for industry managers, to identify the main sources of waste and assess the performance of the tool’s application.

Originality/value

The study uses a systematic review to analyze the application of the VSM tool in the construction industry and provides guidance for future research by identifying research gaps, in addition to conducting an extensive analysis of the tool’s potential in waste identification in the studied papers and their primary causes.

Details

International Journal of Lean Six Sigma, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 2040-4166

Keywords

Article
Publication date: 27 March 2024

Jyoti Mudkanna Gavhane and Reena Pagare

The purpose of this study was to analyze importance of artificial intelligence (AI) in education and its emphasis on assessment and adversity quotient (AQ).

Abstract

Purpose

The purpose of this study was to analyze importance of artificial intelligence (AI) in education and its emphasis on assessment and adversity quotient (AQ).

Design/methodology/approach

The study utilizes a systematic literature review of over 141 journal papers and psychometric tests to evaluate AQ. Thematic analysis of quantitative and qualitative studies explores domains of AI in education.

Findings

Results suggest that assessing the AQ of students with the help of AI techniques is necessary. Education is a vital tool to develop and improve natural intelligence, and this survey presents the discourse use of AI techniques and behavioral strategies in the education sector of the recent era. The study proposes a conceptual framework of AQ with the help of assessment style for higher education undergraduates.

Originality/value

Research on AQ evaluation in the Indian context is still emerging, presenting a potential avenue for future research. Investigating the relationship between AQ and academic performance among Indian students is a crucial area of research. This can provide insights into the role of AQ in academic motivation, persistence and success in different academic disciplines and levels of education. AQ evaluation offers valuable insights into how individuals deal with and overcome challenges. The findings of this study have implications for higher education institutions to prepare for future challenges and better equip students with necessary skills for success. The papers reviewed related to AI for education opens research opportunities in the field of psychometrics, educational assessment and the evaluation of AQ.

Details

Education + Training, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0040-0912

Keywords

Open Access
Article
Publication date: 20 February 2024

Li Chen, Dirk Ifenthaler, Jane Yin-Kim Yau and Wenting Sun

The study aims to identify the status quo of artificial intelligence in entrepreneurship education with a view to identifying potential research gaps, especially in the adoption…

Abstract

Purpose

The study aims to identify the status quo of artificial intelligence in entrepreneurship education with a view to identifying potential research gaps, especially in the adoption of certain intelligent technologies and pedagogical designs applied in this domain.

Design/methodology/approach

A scoping review was conducted using six inclusive and exclusive criteria agreed upon by the author team. The collected studies, which focused on the adoption of AI in entrepreneurship education, were analysed by the team with regards to various aspects including the definition of intelligent technology, research question, educational purpose, research method, sample size, research quality and publication. The results of this analysis were presented in tables and figures.

Findings

Educators introduced big data and algorithms of machine learning in entrepreneurship education. Big data analytics use multimodal data to improve the effectiveness of entrepreneurship education and spot entrepreneurial opportunities. Entrepreneurial analytics analysis entrepreneurial projects with low costs and high effectiveness. Machine learning releases educators’ burdens and improves the accuracy of the assessment. However, AI in entrepreneurship education needs more sophisticated pedagogical designs in diagnosis, prediction, intervention, prevention and recommendation, combined with specific entrepreneurial learning content and entrepreneurial procedure, obeying entrepreneurial pedagogy.

Originality/value

This study holds significant implications as it can shift the focus of entrepreneurs and educators towards the educational potential of artificial intelligence, prompting them to consider the ways in which it can be used effectively. By providing valuable insights, the study can stimulate further research and exploration, potentially opening up new avenues for the application of artificial intelligence in entrepreneurship education.

Details

Education + Training, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0040-0912

Keywords

Article
Publication date: 11 December 2023

Fateme Jafari and Ahmad Keykha

This research was developed to identify artificial intelligence (AI) opportunities and challenges in higher education.

Abstract

Purpose

This research was developed to identify artificial intelligence (AI) opportunities and challenges in higher education.

Design/methodology/approach

This qualitative research was developed using the six-step thematic analysis method (Braun and Clark, 2006). Participants in this study were AI PhD students from Tehran University in 2022–2023. Purposive sampling was used to select the participants; a total of 15 AI PhD students, who were experts in this field, were selected and interviews were conducted.

Findings

The authors considered the opportunities that AI creates for higher education in eight secondary subthemes (for faculty members, for students, in the teaching and learning process, for assessment, the development of educational structures, the development of research structures, the development of management structures and the development of academic culture). Correspondingly, The authors identified and categorized the challenges that AI creates for higher education.

Research limitations/implications

Concerning the intended research, several limitations are significant. First, the statistical population was limited, and only people with characteristics such as being PhD students, studying at Tehran University and being experts in AI could be considered the statistical population. Second, caution should be exercised when generalizing the results due to the limited statistical population (PhD students from Tehran University). Third, the problem of accessing some students due to their participation in research grants, academic immigration, etc.

Originality/value

The innovation of the current research is that the authors identified the opportunities and challenges that AI creates for higher education at different levels. The findings of this study also contribute to the enrichment of existing knowledge in the field regarding the effects of AI on the future of higher education, as researchers need more understanding of AI developments in the future of higher education.

Details

Journal of Applied Research in Higher Education, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 2050-7003

Keywords

Open Access
Article
Publication date: 20 October 2023

Kingstone Nyakurukwa and Yudhvir Seetharam

The authors’ goal is to provide an overview and historical context for the various alternatives to the efficient market hypothesis (EMH) that have emerged over time. The authors…

Abstract

Purpose

The authors’ goal is to provide an overview and historical context for the various alternatives to the efficient market hypothesis (EMH) that have emerged over time. The authors found eight current alternatives that have emerged to address the EMH's flaws. Each of the proposed alternatives improves some of the assumptions made by the EMH, such as investor homogeneity, the immediate incorporation of information into asset values and the inadequacy of rationality to explain asset prices.

Design/methodology/approach

To come up with the list of studies relevant to this review article, the authors used three databases, namely Scopus, Web of Science and Google Scholar. The first two were mostly used to get peer-reviewed articles while Google Scholar was used to extract articles that are still work in progress. The following words were used as the search queries; “efficient market hypothesis” and “alternatives to the efficient market hypothesis”.

Findings

The alternatives to the EMH presented in this article demonstrate that market efficiency is a dynamic concept that can be best understood with a multidisciplinary approach. To better comprehend how financial markets work, it is crucial to draw on concepts, theories and ideas from a variety of disciplines, including physics, economics, anthropology, sociology and others.

Originality/value

The authors comprehensively summarise the current state of the behavioural finance literature on alternatives to the EMH.

Details

Journal of Capital Markets Studies, vol. 7 no. 2
Type: Research Article
ISSN: 2514-4774

Keywords

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