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Academic integrity in tertiary education is a global concern. This chapter describes academic integrity in Australian universities and proposes an “it takes a village” framework to guide universities toward a re-evaluation of academic integrity education. It takes a village to raise a child – a child needs role models and positive influences from multiple people for healthy growth and development. With regard to academic integrity, the parallel is that the entire university community needs to be involved to foster development of students of integrity. The institution and its community need to provide structures, multiple positive and effective learning experiences, and clear guidelines to support both staff and students. In this chapter, we argue that academic integrity needs to be seen as a complex system, one in which everyone involved has responsibility to develop and maintain a culture of integrity and one which supports a student throughout their academic journey.

Gender bias in artificial intelligence (AI) should be solved as a priority before AI algorithms become ubiquitous, perpetuating and accentuating the bias. While the problem has been identified as an established research and policy agenda, a cohesive review of existing research specifically addressing gender bias from a socio-technical viewpoint is lacking. Thus, the purpose of this study is to determine the social causes and consequences of, and proposed solutions to, gender bias in AI algorithms.

A comprehensive systematic review followed established protocols to ensure accurate and verifiable identification of suitable articles. The process revealed 177 articles in the socio-technical framework, with 64 articles selected for in-depth analysis.

Most previous research has focused on technical rather than social causes, consequences and solutions to AI bias. From a social perspective, gender bias in AI algorithms can be attributed equally to algorithmic design and training datasets. Social consequences are wide-ranging, with amplification of existing bias the most common at 28%. Social solutions were concentrated on algorithmic design, specifically improving diversity in AI development teams (30%), increasing awareness (23%), human-in-the-loop (23%) and integrating ethics into the design process (21%).

This systematic review is the first of its kind to focus on gender bias in AI algorithms from a social perspective within a socio-technical framework. Identification of key causes and consequences of bias and the breakdown of potential solutions provides direction for future research and policy within the growing field of AI ethics.

The peer review history for this article is available at https://publons.com/publon/10.1108/OIR-08-2021-0452

This integrative literature review aims to explore themes within higher education that may be applicable to leadership education including: descriptions of trauma, trauma-informed practices and trauma-informed practitioners.

Integrative, systematic literature review.

The results suggest that trauma and trauma-informed practices may have a place in leadership education pedagogy.

There is no work being done in trauma informed practice in leadership education. This study provides future direction for both research and practice.

This research aims to explore the role of banks in supporting women agriculture entrepreneurs (WAEs) to contribute towards achieving the Sustainable Development Goals (SDGs). It focusses on the experiences of women entrepreneurs in the agriculture sector, recognising their vital role in driving economic growth and achieving the SDGs.

The study utilises the role congruity theory and the feminist agri-food systems model as its theoretical framework. Qualitative data from 35 WAEs and 7 bank managers (BMs) responsible for agricultural financial services and business development are collected and thematically analysed to achieve the research objectives.

Although BMs claim they offer specialised financial products with dedicated support teams, WAEs express scepticism due to fears of unfavourable deals and excessive requirements. WAEs need more understanding of SDGs but recognise their substantial contributions. BMs acknowledge the need to enhance efforts, improve communication of offers and integrate SDGs across all business operations beyond agriculture and women-centric initiatives.

Banks must prioritise gender sensitivity and inclusivity for WAEs, offering tailored financial products and flexible loan structures. Microfinance and strategic marketing can enhance outreach. WAEs benefit from forming associations, accessing support networks, collaborating with banks, government agencies, non-governmental organisations and agricultural associations for mentoring and networking, and achieving the SDGs and sustainable agriculture.

The study connects WAEs and banks in achieving SDGs.

This paper highlights the need for studies that explore the experiences of entrepreneurs based in a family business setting who are considering retirement.

This paper is based on a concise review of the literature.

Retirement planning and subsequent succession management is a significant event in a family business and is an issue that requires research that captures and interprets the perspectives of the different stakeholders.

This paper synthesizes existing research on retirement in an entrepreneurial context, with an emphasis on family business and proposes three key areas of research.

Studies have shown that higher education institutions (HEIs) need to achieve deep organizational learning to develop and implement long-term strategies for responding to the climate crisis. This study aims to analyze the sustainability efforts of HEIs, in particular those who use the sustainability tracking, assessment and rating system (STARS), to ascertain what type of organizational learning is being achieved.

This paper does this by analyzing perceptions of learning amongst this group of HEIs. More specifically, it analyzes survey data regarding perceptions of types and system levels of organizational learning achieved by 116 HEIs in the USA that currently use or have used STARS in the past. The approach also aims to develop a macro view of the relationships between practicing campus sustainability, using sustainability reporting tools and learning as an organization.

An examination of the practice of campus sustainability and its relationship to organizational learning reveals that the use of sustainability reporting promotes broad learning, but deep learning at the level of the organization is seldom achieved.

Given the success of using sustainability reporting tools to diffuse knowledge and foster broad learning, this paper argues that such tools should incorporate more metrics relative to soft organizational characteristics of HEIs to shift organizational cultures and foster deeper organizational learning.

This work constitutes one of the few studies analyzing empirical data on campus sustainability, sustainability reporting and organizational learning for a large number of HEIs.

In terms of having the general idea of what the whole book entails, the first chapter gave an insight into all the chapters and what details each chapter holds. This chapter began with an introduction of the book title in relation to the construction industry and sustainable practice in a collaborative manner. In addition, sustainable infrastructure management (SIM) was discussed in relation to construction Industry 4.0 and the management qualities of the technologies incorporated into construction activities. The objective of the book gave the need for SIM in construction with the view of achieving sustainable practices beneficial to both the client and the construction professional.

Anyone who has recently watched television or movies can tell you that transgender, gender nonbinary or gender expansive people are becoming more visible in these media. This trend reflects the reality that younger generations are increasingly identifying with more fluid and nonbinary gender and sexual identities and are progressively expressing those identities in a more flexible and changing manner (Herman et al., 2022; Wilson & Meyer, 2021). Unsurprisingly then, those individuals are also more visible at work, including in workplaces with employer-mandated dress codes. Indeed, in 2020 the US Supreme Court decided a case involving a transgender woman, Aimee Stephens, who was fired because her employer, a funeral home, required her to conform to its gender-binary dress policy and wear clothing mandatory for people assigned male at birth, rather than appropriate for her female gender identity ( Bostock v. Clayton County, 2020).

However, as the description of Aimee Stephens's own experience illustrates, often these employer appearance codes are based on a binary and fixed conception of gender and gender identity and expression at odds with the increasing number of workers who do not identify within those rigid parameters. Moreover, even when an employee, like Aimee Stephens herself, could have fit within her employer's dress code, the improper application of that policy to her, or employer concerns about customer or co-worker discomfort with an employee's appearance under the policy may mean that a worker's identity and expression may still conflict with a workplace appearance code. For gender nonbinary or nonconforming individuals, these complications are magnified.

This chapter explores the practical problems and barriers that employer dress codes have on employees whose gender identity and/or presentation move beyond the traditional male/female binary. Using insights from queer theory, gender expansive employees serve to interrogate fundamental assumptions behind workplace dress policies and the formal and informal ways in which these policies are policed. The chapter will explore that discordance, examine possible employer resolutions, and evaluate the strengths and weaknesses of those responses.

Consumer choice theory (CCT) and the law of diminishing marginal utility help to explain shoppers that value less and prioritize needs. Additional units provide a marginal return on investment. Buying more does not mean equivalent gains for additional money spent. The researchers developed and validated the necessity shopper scale (NSS) to study need-focused shoppers.

The researchers followed standard psychometric practices to create and validate the NSS. The researchers performed item development, data collection, exploratory analysis, confirmatory factor analysis, and predictive validity analysis using survey data (N = 1,266).

Discriminant and convergent validity analyses demonstrated that the measure was distinct from existing measures. Predictive validity analysis found necessity shoppers (NS) are more likely to buy one over buy one get one half off (BOGOHO). NS were associated with a higher connection to community/group (CTCG). Higher hyperopia (i.e. disinclination to indulgence) with necessity shopping beliefs heightened this CTCG. A higher CTCG was associated with a greater likelihood to select BOGOHO.

NS (more connected to others) buy more to share with others, while buying just enough for themselves. Social connections are long-term investments involving more people and more needs to fulfill. Brands marketed with communal values and able to enhance social connections are discussed as implications to encourage NS to buy more.

Data used to develop the case included primary data from employees and supervisors of a commercial floorcovering manufacturing plant in Northwest Georgia. The case company is not disguised.

The survey was developed using existing instruments from the Organizational Behavior and Human Resources Literature. Instruments were listed in Exhibits 2 through 7. The survey administration had the support of the Vice President for Resources and Facilities, and employees and their supervisors were given time to complete the surveys. The data gathered was analyzed by the researcher using SPSS statistical software.

Established in 1957, J&J started as a family-owned business but had grown and diversified its product offerings by focusing on commercial flooring. It survived several economic downturns and remained competitive in a market dominated by more prominent flooring manufacturers. J&J Industries strived to empower its 800 employees with various incentive programs. Employees remained loyal to J&J; many had worked for the company for over 15 years. However, management wanted to measure the impact of empowering and initiatives on employee performance and satisfaction to determine the real power of employee incentive programs. The Resources and Facilities Vice President employed Professor Lopez, a Management Professor, to develop a survey to measure these constructs and analyze the data to guide future incentive programs. Data from the employee and supervisor survey was provided along with the statistical analysis results for interpretation and recommendations for VP Fordham.

The target audience for this case is primarily students in a research methodology course and students studying quantitative regression analysis and interpretation. The focus is predominantly on graduate-level students in Master of Business Administration or Master of Accounting programs in business. Graduate students should have completed courses in management or organizational behavior, business statistics or quantitative methods or data visualization and cleaning as background knowledge for this case. Specifically, students should understand regression analysis and know when and how the tool is used for managerial decision-making.