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This chapter proposes a sustainable trajectory for leadership and diversity, equity, and inclusion (DEI) organizational change in higher education. Leadership practices and strategies necessary to construct and implement change and cultivate diverse, equitable, and inclusive educational environments are deliberated, with particular emphasis on transformational leadership theories and practices. These types of organization development practices produce concrete transformation in institutions that have long-established, inert, and deeply entrenched cultures in which discriminatory or even racist practices have been deeply embedded and accepted over time. The complex dynamics of transformation in higher education, brought on, in part, by the rigidity of its organizational structure coupled with its history and foundation in racism and racist practices, makes achieving sustainable change difficult in higher education. Transformational change requires the creation of new mental models through meaning making and perspective sharing that allow individuals in higher education to think differently about how higher education institutions should operate given the rapid shifts in our society. Organizational change leaders must engage in deep, purposeful, and critical reflection and examination of the organization's culture to lay the groundwork for significant change. The chapter explores topics such as leading change through transformational leadership and the styles, practices, and capabilities associated with it, leadership development, strategic diversity leadership, and the Chief Diversity Officer (CDO) as change leader in higher education. The internal and external environmental trends demanding substantive change in higher education continue to intensify over time. The demand for pervasive transformation in higher education is resounding, and institutional leaders must be open to and even drive new and innovative approaches to shifting its very core – its DNA, its culture – to meet those demands.

In 2020, an outbreak of Salmonella Stanley linked to imported dried wood ear mushrooms affected 55 individuals in the United States of America. These mushrooms, commonly used in Asian cuisine, require processing, like rehydration and cutting, before serving. The US Centres for Disease Control and Prevention advise food preparers to use boiling water for rehydration to inactivate vegetative bacterial pathogens. Little is known about how food handlers prepare this ethnic ingredient and which handling procedures could enable Salmonella proliferation.

This study used content analysis to investigate handling practices for dried wood ear mushrooms as demonstrated in YouTube recipe videos and to identify food safety implications during handling of the product. A total of 125 Chinese- and English-language YouTube videos were analysed.

Major steps in handling procedures were identified, including rehydration, cutting/tearing and blanching. Around 62% of the videos failed to specify the water temperature for rehydration. Only three videos specified a water temperature of 100 °C for rehydrating the mushrooms, and 36% of the videos did not specify the soaking duration. Only one video showed handwashing, cleaning and sanitising of surfaces when handling the dried wood ear mushrooms.

This study found that most YouTube videos provided vague and inconsistent descriptions of the rehydration procedure, including water temperature and soaking duration. Food preparers were advised to use boiling water for rehydration to inactivate vegetative bacterial pathogens. However, boiling water alone is insufficient to inactivate all bacterial spores. Extended periods of soaking and storage could be of concern for spore germination and bacterial growth. More validation studies need to be conducted to provide guidance on how to safely handle the mushrooms.

This study will make a distinctive contribution to the field of food safety by being the first to investigate the handling procedure of a unique ethnic food ingredient, dried wood ear mushrooms, which has been linked to a previous outbreak and multiple recalls in the United States of America. The valuable data collected from this study can help target food handling education as well as influence future microbial validation study design and risk assessment.

The construction industry is inefficient in terms of quality products, productivity and performance worldwide, including in Australia and New Zealand. The construction industry is becoming more innovative, competitive and complex; and more participants are involved in construction projects. There are new attempts to implement the Lean construction philosophy, integrated project delivery method and building information modelling (BIM) technology in construction industry to improve productivity and efficiency. This paper aims to identify Lean and BIM integration benefits in construction industry globally and in the New Zealand.

A systematic literature review and case studies were used to identify various benefits of the integrating Lean and BIM in construction industry. It focused on articles published between 1995 and 2021.

Lean and BIM benefits identified in the study were documented such as benefits over the traditional approach, critically increased efficiency and visualization, better building process, better building performance, mitigating risk and reduce cost. Also, several factors were identified as major benefits such as improved onsite collaboration, better coordination, improve onsite communication, increase productivity, mitigating risk, reducing waste and reduced cost. The study showed integrating Lean and BIM in construction management practice will help reduce several challenges which affect expected goals and customer anticipation. The research outcome ultimately will assist different stakeholders in applying Lean and BIM in construction management practice.

This study practically focused on using the integration of BIM and Lean principles to improve the construction industry productivity and performance.

Despite its devastating nature, the COVID-19 pandemic has also catalyzed a substantial surge in the adoption and integration of technological tools within economies, exerting a profound influence on the dissemination of information among participants in stock markets. Consequently, this present study delves into the ramifications of post-pandemic dynamics on stock market behavior. It also examines the relationship between investors' sentiments, underlying behavioral drivers and their collective impact on global stock markets.

Drawing upon data spanning from 2012 to 2023 and encompassing major world indices classified by Morgan Stanley Capital International’s (MSCI) market and regional taxonomy, this study employs a threshold regression model. This model effectively distinguishes the thresholds within these influential factors. To evaluate the statistical significance of variances across these thresholds, a Wald coefficient analysis was applied.

The empirical results highlighted the substantive role that investors' sentiments and behavioral determinants play in shaping the predictability of returns on a global scale. However, their influence on developed economies and the continents of America appears comparatively lower compared with the Asia–Pacific markets. Similarly, the regions characterized by a more pronounced influence of behavioral factors seem to reduce their reliance on these factors in the post-pandemic landscape and vice versa. Interestingly, the post COVID-19 technological advancements also appear to exert a lesser impact on developed nations.

This study pioneers the investigation of these contextual dissimilarities, thereby charting new avenues for subsequent research studies. These insights shed valuable light on the contextualized nexus between technology, societal dynamics, behavioral biases and their collective impact on stock markets. Furthermore, the study's revelations offer a unique vantage point for addressing market inefficiencies by pinpointing the pivotal factors driving such behavioral patterns.

This study aims to analyse the impact of digital divide (DD) on income inequality in sub-Saharan Africa over the period 2004–2016.

In applying a finite mixture model (FMM) to a sample of 35 sub-Saharan African (SSA) countries, this study posits that DD affects income inequality differently.

The findings show that the effect of DD on income inequality varies across two distinct groups of countries, which differ according to their level of globalization. In addition, the study shows that most globalized countries are more inclined to be in the group where the effect of DD on income inequality is negative. The results are consistent with several robustness checks, including alternative measures of income inequality and additional control variables.

This study complements that extant literature by assessing linkages among the DD, globalization and income inequality in sub-Saharan African countries contingent on cross-country heterogeneity.

This article aims to examine the related effects between out-of-class activities, mediated by in-class activities, on the perception of course and teacher performance in a flipped classroom institutionalized setting.

The authors argue that institutionalized out-of-class (content) and in-class (learning) activities positively impact course and teaching quality perception. This study used a sample of 978 responses from MBA students to conduct a path model analysis to test four hypotheses developed from literature from flipped classroom proposing the positive relationship of out-of-class activities in in-class activities and its influence on the course and teaching performance.

The findings reported that out-class and in-class activities and educator performance influenced course performance perception. In-class activities mediated the out-of-class activities’ impact and directly impacted educator’s and course performance. Educator performance is positively correlated with course performance. Overall, executives have a positive perception on institutionalized flipped classroom for MBA courses as an effective provision form. The flipped classroom is able to mobilize their experiences and enrich learners’ educational experience.

Only one unit of the higher education organization was studied, and the authors do not consider indirect effects of the environment on variable’s relationships nor the indirect effects whose would be a suggested for future studies.

The present study provides new insights on flipped classroom. This study evidenced that flipped classroom planned and standardized in an institutional level positively impacts the outcome within the context of executive education.

This paper aims to help understand how community-based social entrepreneurs experience world-class “performance excellence” models and to explore the core values that enable social enterprises to become high-performance organizations.

Underpinned by Mindsponge processes, the proposed conceptual framework critiques the Baldrige criteria for performance excellence (BCPE) model in a global south context. The mixed-methods study fosters an in-depth analysis. First, it validates the BCPE mechanism in community-based social enterprises (CBSEs) before identifying the significant core values and concepts of BCPE that influence CBSEs to achieve high performance.

The BCPE, adapted from global north corporate principles and applied at a community level, can significantly develop global south organization performance excellence. Five core values and concepts from the 11 fundamental beliefs in driving performance excellence were found to support performance excellence in CBSE management. These values and concepts are “customer-focused excellence,” “social responsibility,” “systems perspective,” “visionary leadership” and “focus on success.”

First, factors influencing performance excellence are not limited to the core values elements discussed. Future research may clarify factors extracted from the “Process” category of BCPE to explore further how CBSEs can enhance their performance in a different formation path. Second, this study only considered the Thai-Phuan community in Pho Tak village, Nong Khai, Thailand, to represent as a single case study. However, different, clustered or contrasting CBSEs in other regions remain open for further exploration to enrich the knowledge of “performance excellence” in a community organization. Finally, a longitudinal study would be a welcome addition.

The following must be considered. First is setting a clear direction: the organization’s vision and mission, by purposeful design, should ensure that CBSE managers are leading by example and demonstrating the importance of social and environmental value creation. Second is developing institutional culture: fundamental core values focused predominantly on “customer-focused excellence” and “social responsibility” encourage collaboration by “working together to drive success”. Third is developing integrated management system: CBSEs need to ensure that the management systems can collaborate and complement each component to create performance excellence. Fourth is creating a learning organization: CBSEs need to create a culture of continuous learning through data collection, measurement, analysis and modification.

This study clarifies that the implementation of BCPE is crucial to the establishment of performance excellence at both macro- and micro-level organizations. According to the Malcolm Baldrige National Quality Award, the fundamental drivers of BCPE are the same for all types of organizations and in all sectors, whether in the private sector, education, health care or government (Blazey and Grizzell, 2021). By applying the Baldrige excellence model at the community level, this study found that CBSE can similarly strive for excellence and improved performance. This can lead to strengthened services, increased productivity and enhanced quality of life for the community.

This study provides a novel viewpoint on the Baldrige paradigm. Expressly, BCPE is compatible with global south community-based organizations to enhance performance excellence. Its essential contribution demonstrates that Baldrige model concepts are more widespread within smaller and underdeveloped territories than imagined. The recent (post-study) inclusion of “Community” as an independent sector in the Malcolm Baldrige National Quality Awards validates the research findings and recommendations proposed by this study.

Online reviews serve as valuable sources of information, reflecting tourists’ attentions, preferences and sentiments. However, although the existing research has demonstrated that incorporating online review data can enhance the performance of tourism demand forecasting models, the reliability of online review data and consumers’ decision-making process have not been given adequate attention. To address the aforementioned problem, the purpose of this study is to forecast tourism demand using online review data derived from the analysis of review helpfulness.

The authors propose a novel “identification-first, forecasting-second” framework. This framework prioritizes the identification of helpful reviews through a comprehensive analysis of review helpfulness, followed by the integration of helpful online review data into the forecasting system. Using the SARIMAX model with helpful online review data sourced from TripAdvisor, this study forecasts tourist arrivals in Hong Kong during the period from August 2012 to June 2019. The SNAÏVE/SARIMA model was used as the benchmark model. Additionally, artificial intelligence models including long short-term memory, back propagation neural network, extreme learning machine and random forest models were used to assess the robustness of the results.

The results demonstrate that online review data are subject to noise and bias, which can adversely affect the accuracy of predictions when used directly. However, by identifying helpful online reviews beforehand and incorporating them into the forecasting process, a notable enhancement in predictive performance can be realized.

First, to the best of the authors’ knowledge, this study is one of the first to focus on the data issue of online reviews on tourism arrivals forecasting. Second, this study pioneers the integration of the consumer decision-making process into the domain of tourism demand forecasting, marking one of the earliest endeavors in this area. Third, this study makes a novel attempt to identify helpful online reviews based on reviews helpfulness analysis.