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The authors report a study of heritage conservation linked to rural small-town regeneration in Aotearoa New Zealand. The purpose of this study is to answer the question: how, with limited local resources, do the residents and administrators of small settlements conserve historic heritage in the processes of rural regeneration?

This research is based on an analysis of physical heritage objects (buildings, artefacts and landscapes), associated regulatory arrangements, archival material, news media reporting, community group newsletters and photography. The authors use the river-side town of Rakaia and its environs in Te Waipounamu/the South Island of Aotearoa New Zealand to answer the research question.

This research found that in a context of limited resources, volunteers, supported by small businesses and local and central government, can contribute positively to the conservation and interpretation of heritage as part of wider rural regeneration activities.

There is only limited writing on the links between heritage conservation, rural regeneration and the development of small towns. To advance the debate, the authors combine ideas about community-led heritage conservation and management with concepts drawn from rural studies, particularly the multifunctional rural space paradigm. This allows us to explore heritage conservation in a context of rapid rural change.

This study investigates the presence of herding in the Brazilian stock market between 2012 and 2020 and associates it with the volume of searches on the Google platform.

Following methodologies are used to investigate the presence of herding: the Cross-Sectional Standard Deviation of Returns (CSSD), the Cross-Sectional Absolute Deviation (CSAD) and the Cross-Sectional Deviation of Asset Betas to the Market.

Most of the models detected herding. In addition, there was a causal relationship between peaks in Google search volumes and the incidence of herding across the whole period, especially in 2015 and 2019.

This study suggests that confirmation bias influences investors' decisions to buy or sell assets.

This study aims to contribute to the relatively limited historic literature on social and environmental accounting/accountability. More specifically, the study explores accounting and accountability for fisheries over time and determines potential legitimacy relations as conveyed through reporting.

A content analysis method is used to analyse a fisheries-related section of an annual report of a state-owned electricity firm for 56 years (1935/36–1993). The time frame analysed is a period when environmental or social reporting was, in general, informal and not mandated. However, accountability was established for the company under study, through the legally mandated provision of (unspecific/discretional) information about fisheries activities. A lens evoking legitimacy relationships as a dyad is utilised.

The fisheries reporting within the case organisation is an early example of recognition of the important effects of business activities on the environment and biodiversity. The findings of the analyses suggest the content aligns with what may be anticipated in a contemporary setting. Drawing on trends noted from the content analysis, three potential legitimacy relationships are identified around the fisheries reporting. Only one is determined as a complete legitimacy relationship.

The research is limited in that it is an analysis of one case in a single context. Also, the content analysis methods used were developed specifically for the study, which may limit their application. Finally, the data source used, and the historic nature of the study, to some extent limits the ability to determine some legitimacy relationships.

This study offers some insights on the historic nature of environmental reporting from a fisheries perspective in the Northern Hemisphere. The longitudinal nature of the analysis also offers insights into how the content of the reporting changed over time. Additionally, the use of a relatively new approach to operationalising legitimacy may prove useful for future researchers in the accounting discipline, especially given recent concerns on how the concept of legitimacy has been utilised in such research.

The study deploys Anthias' intersectional framework of social spaces and her concept of translocational positionality to explore the barriers to entrepreneurship for refugee entrepreneurs in the United Kingdom (UK). In particular, the study aims to assess how migrant identities require a specific form of business support.

A total of 32 semi-structured interviews with 14 refugee entrepreneurs and 18 business support agents were conducted between April and October 2022 and, together with field notes, were combined for thematic analysis in NVivo 12.

Organisational, representational, intersubjective and experiential barriers combined to create practical and psychological deterrents to entrepreneurship for refugees. However, an explicitly humanistic and de-centred approach to business support was (partially) able to counter such barriers.

Policymakers and business support agencies should consider intersectional characteristics and the importance of a compassionate and individual approach when designing business support programmes for refugee entrepreneurs.

Two intersectional concepts of social spaces and translocational positionality are brought into conversation with each other, creating a novel approach to framing the barriers to entrepreneurship for refugees.

This paper examines the role of co-inventor collaboration with China and/or the USA on a country's increase in centrality in global knowledge networks. It also explores the role of specific institutional factors – corruption and intellectual property rights (IPR) protection – on this relationship.

In the study, co-inventor data from the United States Patent and Trademark Office (USPTO) applications have been used to construct networks of technological knowledge collaboration at the country level over the years 2002–2015. Using eigenvector centrality as the dependent variable, the study uses fixed effect regression analyses on a panel of 171 countries, contributing to recent debates on knowledge networks and international cooperation.

Building on research in economic development, innovation and social network theory, this research finds that co-patenting with Chinese inventors is positively related to a country's centrality in global knowledge networks and that this relationship is negatively moderated by collaboration with the current most central knowledge network – namely that of the USA – suggesting a substitution effect. It also finds a partial substitution between institutional factors, IPRs protection and transparency, and collaboration with China on a country's knowledge centrality.

Regarding policymakers, the findings can be used to encourage international collaboration for increased access to new sources of knowledge that fosters innovation while keeping a close eye on local institutions, especially emerging economies that want to increase their international knowledge network centrality.

This study creates a unique panel data set and extends the social networks approach in international business literature, focusing on institutional characteristics related to participation in knowledge networks.

The 2008 Chinese melamine milk scandal resulted in six reported fatalities and affected around 300,000 children, of whom 54,000 were hospitalised. Previous studies have used linear approaches to examine the root causes of the melamine milk scandal.

In the present study, we applied a systems approach to the melamine milk scandal to identify the complex systems-level failures across the supply chain leading to the incident and why food fraud incidents such as this occurred in the dairy sector. Additionally, systemic failures associated with food fraud vulnerability factors were considered (i.e. opportunities, motivation and control measures).

48 contributory factors of influence were identified and grouped across six sociotechnical levels across the Chinese dairy system, from government to equipment and surroundings. Lack of vertical integration (processes and communication) contributed to the failure. When viewed from a broader perspective, the melamine milk scandal can be linked to a series of human errors and organisational issues associated with government bodies, the dairy supply chain, individual organisations and management decisions and individual actions of staff or processes.

This approach is of value to policymakers and the industry as it supports public health investigations of food fraud incidents and proactive food safety management.

To the best of our knowledge, this is the first study to analyse a food safety or fraud incident using the AcciMap approach and the food fraud vulnerability assessment (FFVA) technique. AcciMap analysis is applied to both unintentional and intentional aspects of the incident.

This study describes how two organisations transitioned to teaching Lean online during and post Covid-19. This study aims to establish how Lean teaching and training can be designed and delivered effectively online without adverse effects on the student’s learning experience of Lean concepts.

A case study approach was used to review the design, application and results of the transition to online Lean teaching and training. Qualitative and quantitative methods were deployed to assess the results.

Online Lean learning and application were assured via the design of practical problem-based teaching environments, aided by using the virtual classroom as an obeya room and as a kaizen environment where students worked in teams. Students were enabled to learn and apply Lean tools practically and reflect on their learnings.

This study demonstrates that effective online design can ensure. Lean methods are understood without affecting the student's learning, classroom experience and grasp of concepts.

To the best of the author’s knowledge, this is one of the first studies on implementing Lean training and education online during COVID-19 under the lens of both a training provider and university education viewpoint. The changes validated best practices for virtual Lean education and training in the organisations under study, maintained post-COVID.

The objective of this paper is to investigate the pandemic’s function as a driver of investor herding in international stock markets, given that the current coronavirus disease 2019 (COVID-19) crisis has caused a large rise in uncertainty.

The paper investigates the presence of herding behavior among the developed and BRICS (Brazil, Russia, India, China and South Africa) stock market indices during the COVID-19 crisis, by using a modified Cross-Sectional Absolute Deviation (CSAD) measure which is considered a proxy for herding and the wavelet coherence (WC) analysis between CSAD that captures the different inter-linkages between stock markets.

Using the CSAD model, the authors' findings indicate that the herding behavior of investors is present in stock markets during the four waves of COVID-19 crisis. The results also demonstrate that the transaction volume improve the herding behavior in the stock markets. As for the news concerning the number of cases caused by the pandemic, the results show that the pandemic does not stimulate herding; however, the number of deaths caused by this pandemic turns out to be a great stimulator of herding. By using the WC analysis, the authors' findings indicate the presence of herding behavior between the Chinese and stock markets (developed and emerging), especially during the first wave of the crisis and the presence of herding behavior between the Indian and stock markets (developed and emerging) in the medium and long run, especially during the third wave of the COVID-19 crisis.

The authors' study is among the first that examines the influence of the recent COVID-19 pandemic as a stimulator of herding behavior between stock markets. The study also uses the WC analysis next to the CSAD model to obtain robust results. The authors' results are consistent with the mental bias of behavioral finance where herding behavior is considered effective in volatility predictions and decision-making for international investors, specifically during the COVID-19 crisis.

Based on the theoretical framework, this paper analyzes the sentiment-herding relationship in emerging stock markets (ESMs). First, it aims to examine the effect of investor sentiment on herding. Second, it seeks the direction of causality between sentiment and herding time series.

The present study applies the Exponential Generalized Auto_Regressive Conditional Heteroskedasticity (EGARCH) model to capture the volatility clustering of herding on the financial market and to investigate the role of the investor sentiment on herding behaviour. Then the vector autoregression (VAR) estimation uses the Granger causality test to determine the direction of causality between the investor sentiment and herding. This study uses a sample consisting of stocks listed on the Shanghai Composite index (SSE) (348 stocks), the Jakarta composite index (JKSE) (118 stocks), the Mexico IPC index (14 stocks), the Russian Trading System index (RTS) (12 stocks), the Warsaw stock exchange General index (WGI) (106 stocks) and the FTSE/JSE Africa all-share index (76 stocks). The sample includes 5,020 daily observations from February 1, 2002, to March 31, 2021.

The research findings show that the sentiment has a significant negative impact on the herding behaviour pointing out that the higher the investor sentiment, the lower the herding. However, the results of the present study indicate that a higher investor sentiment conducts a higher herding behaviour during market downturns. Then the outcomes suggest that during the crisis period, the direction is one-way, from the investor sentiment to the herding behaviour.

The findings may have implications for universal policies of financial regulators in EMs. We have found evidence that the Emerging investor sentiment contributes to the investor herding behaviour. Therefore, the irrational investor herding behaviour can increase the stock market volatility, and in extreme cases, it may lead to bubbles and crashes. Market regulators could implement mechanisms that can supervise the investor sentiment and predict the investor herding behaviour, so they make policies helping stabilise stock markets.

The originality of this paper lies in investigate the sentiment-herding relationship during the Surprime crisis and the Covid-19 epidemic in the EMs.

At the centre of Chapter 2 is higher education that places greater emphasis on lifelong learning journeys and equitable access to quality education at all stages of an individual's life and career. This chapter articulates the relevance of learning outcomes for both the world of work and for citizenship in a global and interconnected world. One way to operationalize this dual emphasis is through micro-credentials, which offer a flexible and modular way to learn new skills and knowledge. The chapter notes current challenges with implementing micro-credentials in a robust and quality assured manner, and suggests ways to overcome these.

Mentoring is a valuable support system for academics wishing to implement micro-credentials and contribute to the achievement of all sustainable development goals. Mentors can help nurture initial ideas, guide the design and delivery of micro-credentials and ensure that they are aligned with the needs of students and university external stakeholders. The dialogue included in this chapter illustrates a specific scenario at undergraduate level. There is, however, recognition that a broader range of contexts for micro-credentials exists, where mentoring can provide equally valuable support towards achieving desired goals.

With specific reference to mentoring, the chapter discusses ways in which mentoring relationships can develop and be maintained over time. It considers the impact that the setting in which mentoring meetings take place can have on the quality of the learning experience. Equally importantly, discussion touches on digital dimensions of mentoring – the metaverse as a setting and artificial intelligence complementing a real mentor or coach.