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Data for the case came from public sources, including legal proceedings, court filings, company press releases and Securities and Exchange Commission filings.

In June 2020, former Pinterest employees made public charges of gender and racial discrimination. Despite changes implemented by the company, several Pinterest shareholders filed derivative lawsuits charging the company with breach of fiduciary duty, waste of corporate assets, abuse of control and violating federal securities laws. The case provides an overview of the company’s management, board and stock structures, as well as information on the shareholders who sued the company and their concerns. The case raises substantial questions about management’s and board member’s responsibilities in corporate governance, illustrates how stock structures can be used to impede governance and suggests ways to evaluate activist shareholders.

This case is appropriate for graduate, advanced undergraduate or executive education courses in strategy, corporate governance or strategic human resources that discuss corporate governance, fiduciary responsibilities, designing workplace culture or management responses to shareholders. Instructors can apply two sets of theories and frameworks to this case: theories of corporate governance and Hirschman’s (1970) exit, voice or loyalty framework in the context of shareholder activism.

This paper aims to explore the role of the researcher’s emotions in ethnographic practice in accounting research. This paper focuses on shame as an emotion that lingers on, despite the efforts to work through those emotions.

The authors conducted a collective autoethnography to make sense of the fieldwork and after-fieldwork emotions and their consequences. This autoethnography began with the three authors discovering their shared feeling of shame.

Building on Hochschild’s theory (1979, 1983) on emotional labor, the authors demonstrate how shame emerged as a central and lingering emotion of the ethnographies beyond an emotional labor process. The authors show how a double shame appeared toward the field participants and the academic accounting community, affecting the writing and the work.

The authors demonstrate that the perception of the research community’s rules of feelings gives rise to emotions that ultimately change the work. The authors show how collective autoethnography can help accounting research to acknowledge and give room to emotions.

This paper aims to conduct a systematic literature review of Socially Conscious Investment (SCI) articles published in premier journals. Its objective is to shed light on the publication trend, leading authors, journals, countries and themes in contemporary SCI research. The article also provides a conceptual model of SCI to enhance understanding of the knowledge structure and the future research direction.

A systematic review followed the PRISMA guidelines and encompasses 264 full-text articles indexed in A* and A category journals listed in ABDC is reviewed. The literature synthesis adopts the theories, contexts, characteristics and methodology (TCCM) framework.

The article has identified the research trends related to author impact, journal impact, article impact and the outcomes derived from the TCCM framework. Additionally, it highlights three key themes: Performance of SCI, Behavioural issues and SCI development literature.

The insight on various aspects of SCI was explored for a comprehensive understanding. The authors also developed a conceptual model for socially conscious investment.

This study investigates the motivations and challenges of Nigerian women in leadership roles in male-dominated family firms. It addresses the literature gap in gender dynamics within these businesses, particularly in Nigeria, where such enterprises are economically significant yet often display gender biases due to cultural and societal norms. Using qualitative methods and a multiple case study approach, the research analyzes the experiences of eight women leading family firms. It identifies three key motivations for these women: acquiring necessary skills and capabilities, career development, and enhancing quality of life, influenced by personal growth, job satisfaction, and balancing work and family. The study also highlights three main challenges: the glass ceiling effect, traditional gender roles, and primogeniture, leading to stereotypes, societal pressures, and often relegating women to subordinate roles or presenting significant leadership hurdles.

The main purpose of this research was to determine what types of promotions increase Minor League Baseball attendance across all of the official leagues. The secondary purpose was to ascertain the role of other control variables such as win percentage, weather, days of the week, start time and city demographics. The research also includes a grouping of cities through k-means clustering to better understand what types of promotions work in what cities.

Data were gathered on all the Minor League Baseball teams and their respective cities. Regression models were run to test for the role of individual promotions (structured as dummy variables) and other controls. One model specification used city demographic variables, one used city fixed effects rather than city demographics and the final specification used k-means clustering to separate cities into distinct groups.

Promotions generally were found to increase attendance, although there were differences across levels of play. K-means clustering helped with the grouping of cities to ascertain which types of promotions were beneficial when comparing large metropolitan areas to high-income cities.

Promotions were grouped into common categories, although some were difficult to classify (or were infrequent), so a miscellaneous promotions category was included to capture these promotions in Minor League Baseball.

The findings of this research are beneficial to those designing promotional schedules for individual teams. It also is beneficial to the leagues as the findings have implications as it relates to what fans desire to see when attending minor league games.

The originality in this work is the collection of all Minor League Baseball attendance, city information and promotional information across the different levels of play (AAA, AA, High-A and A). Using different model specifications and groupings, including k-means clustering to match similar cities, successful promotions were identified.

The purpose of this study is to present ANTi-microhistory of social innovation in education within Robert Owen’s communal experiment at New Harmony, Indiana. The authors zoom out in the historical context of social innovation before zooming into the New Harmony case.

The authors used ANTi-microhistory approach to unpack the controversy around social innovation using the five-step procedure recently proposed by Mills et al. (2022), a version of the five-step procedure originally proposed by Tureta et al. (2021).

The authors found that the educational leaders of the New Harmony community preceded proponents of innovation, such as Drucker (1957) and Fairweather (1967), who viewed education as a form of social innovation.

The authors contribute to the history of social innovation in education by exploring the New Harmony community’s education society to uncover the enactment of sustainable social innovation and the origin story of humanistic management education.

The training and education of peers represents an important milestone in the peer's journey to work within organisational settings. Historically, peer support occurred based on a mutual relationship whereby one peer often with more experience provided support and guidance to another. However, as peers began to move into organisations staffed by professionals, a standard of training and education became needed if peers were to be accepted. This chapter outlines these issues, as well as discussing the training standards, the academics and soft skills needed. Some of the challenges peers face during their education and their continued development will be discussed. This chapter will focus on the training of peers for mental health and substance use settings in addition to other emerging areas in social inclusion.

This study aims to identify an automated machine learning algorithm with high accuracy that sport practitioners can use to identify the specific factors for predicting Major League Baseball (MLB) attendance. Furthermore, by predicting spectators for each league (American League and National League) and division in MLB, the authors will identify the specific factors that increase accuracy, discuss them and provide implications for marketing strategies for academics and practitioners in sport.

This study used six years of daily MLB game data (2014–2019). All data were collected as predictors, such as game performance, weather and unemployment rate. Also, the attendance rate was obtained as an observation variable. The Random Forest, Lasso regression models and XGBoost were used to build the prediction model, and the analysis was conducted using Python 3.7.

The RMSE value was 0.14, and the R2 was 0.62 as a consequence of fine-tuning the tuning parameters of the XGBoost model, which had the best performance in forecasting the attendance rate. The most influential variables in the model are “Rank” of 0.247 and “Day of the week”, “Home team” and “Day/Night game” were shown as influential variables in order. The result was shown that the “Unemployment rate”, as a macroeconomic factor, has a value of 0.06 and weather factors were a total value of 0.147.

This research highlights unemployment rate as a determinant affecting MLB game attendance rates. Beyond contextual elements such as climate, the findings of this study underscore the significance of economic factors, particularly unemployment rates, necessitating further investigation into these factors to gain a more comprehensive understanding of game attendance.