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The case and discussion questions posed will allow the instructors the opportunity to introduce critical strategic concepts from strategic, nonprofit management and social enterprise literature. Specifically, (1) strategic transformation: countering drift and anticipating future trends and crises; (2) types of leadership: transactional versus transformational; (3) hybridity and mission drift; and (4) nonprofit funding models, the starvation cycle and the overhead myth.

Both primary and secondary sources have been used to prepare the case. The first two authors had the opportunity to interview Thomas Tighe, Direct Relief’s (DR) President and CEO in July of 2019. The interview lasted one hour and was transcribed by one of the authors and reviewed by the other two authors for accuracy. In addition, the authors conducted nonparticipant observations in DR’s headquarters in Santa Barbara (California). Given the longevity and media exposure of the organization, extensive internal and external archival data was also available for the analysis.

This real and undisguised case is based on DR, a +70-year-old humanitarian $1.2bn nonprofit organization headquartered in California (USA). From its headquarters in Santa Barbara, DR responds to emergencies and delivers medical support for vulnerable people affected by poverty, natural disasters and civil unrest in all 50 US states, six US territories including Puerto Rico and US Virgin Islands, and in more than 90 countries.

The case presents Thomas Tighe, DR’s President and CEO, reflecting in late 2018 on the transformation and growth that the organization had experienced since he started his tenure in 2000. Specifically, he is considering the most effective way to allocate an unrestricted recent cash donation. Should DR spend that money on traditional fundraising, reducing its efficiency rate, or should DR take a long-term approach and use the funds to build long-term capabilities? In addition, the case outlines the history and evolution of DR over its more than 70 years of existence, the CEO’s background and motivations, as well as a detailed description of the organization’s revenue portfolio. Students will have an opportunity to learn about a unique nonprofit named among “the world’s most non-for-profit organizations” by Fast Company; DR was also included in the Charity Navigator’s list of the “10 Best Charities Everyone’s Heard of.” In addition, in January 2009, DR was designated as a Verified-Accredited Distributor by The National Association of Boards of Pharmacy, which placed it as the first nonprofit to receive this designation to deliver prescription medicines to all 50 US states. Throughout Tighe’s tenure, DR had been lauded for its fundraising efficiency. The unique distinction to DR’s efficiency is its tradition of adopting new technologies and modern business practices for humanitarian purposes.

Students will learn how DR, under the leadership of Thomas Tighe, reinvented and reinforced the organization’s traditions to retain high levels of efficiency in the face of an ever-larger organizational scale, public scrutiny and demand for humanitarian support across the world. Students will witness many strategic and operational tenets that they may be more familiar with from the for-profit world. The case also will help students to understand the concept of hybrid organizations and different nonprofit funding models.

The case has been written to be used in graduate Nonprofit Leadership Management and Social Entrepreneurship courses. Given the scope and implications, the case could also be used on an upper-level strategy course. To maximize students’ learning, the case should be introduced halfway into the course after students have a solid understanding of what nonprofits are and how they operate. If students are not familiar with some of the concepts introduced in the analysis, the proposed readings will prepare them for a more fruitful discussion.

This paper examines how different configurations of societal impact are pursued by purpose-driven organizations (PDOs) and how these configurations align with the application of varying supply chain design (SCD) practices.

This multi-method study uses quantitative data from 1588 B Corps and qualitative data from 316 B Corps to examine how PDOs align SCD with the pursuit of diverse types of societal impact. The authors first conduct a cluster analysis to group organizations based on the impact they create. Second, qualitative content analysis connects impact with enabling SCD elements.

The analysis of the five identified clusters provides detailed empirical insights on influencers, design decisions and building blocks adopted by PDOs to drive a range of societal impacts. Specifically, the nature of the impact pursued affects (1) whether a PDO will be more influenced by a need in the political environment or an opportunity in the industry environment, (2) the relative importance of the design of social flows versus material flows and (3) the need to develop new relational resources with beneficiaries versus leveraging existing capabilities to manage inter-firm processes.

This study responds to calls to disaggregate different dimensions of societal impact and examines the relationship between SCD and a breadth of sustainability impacts for different stakeholders. In doing so, the authors identify four SCD pathways organizations can follow to achieve specific societal impacts. This study is also the first to employ a supply chain perspective in the study of certified B Corps.

Academic literature and news media on young people’s activism predominantly champions young people who align with liberal or progressive values, evident most recently in the youth-led climate strikes around the world. Research is often undertaken by scholars who see their work as advocacy for children and young people, countering deficit-based depictions of politically disengaged or ill-informed youth. Yet, this scholarship rarely includes young people whose forms of political activism align with conservative, right-wing, or even alt-right politics. Such ‘selective advocacy’ reinforces a limited picture of the who and what of young people’s political participation. In this chapter, I explore what it might mean for the field of youth studies to provide a more complex picture of young people’s activism and the necessary discomfort that emerges when the desire to advocate for young research participants conflicts with a researcher’s own political and moral concerns. Through a feminist post-structural frame, I examine media and public discourses surrounding instances of young people’s activism in conservative, right-wing, and alt-right spaces. I present the case of a conservative protest organised by a group of university students and targeting a drag queen hosted children’s story time at a library in Brisbane, Australia. This case highlights the importance of maintaining ‘epistemic uncertainty’ when it comes to the complexity of youth and activism. If we are to provide a fuller picture of youth activism, I argue that it is important not to overlook less ‘comfortable’ forms that do not neatly align with the progressive advocacy that dominates the field of youth studies.

Scandals regularly sweep through organizational fields: they wreak havoc in markets, vaporize billions of dollars in firm value, bring down giant corporations, get CEOs fired, alter the evolution of technologies, and trigger major changes in society. In spite of their significance for organizational life, scandals have received remarkably limited attention in management research. I build on the social sciences’ sparse but growing stream of research on scandals to explore the concept beyond its usual representation as a discrete event. I propose that an organizational scandal may be understood as an interactional process associated with the disclosure of alleged organizational misconduct that involves: a public struggle between alleged perpetrators and social control agents over the framing of organizational misconduct; moralizing by audience members; collective effervescence at the societal level; and the potential rewriting of the moral rules applicable to organizations and their members.

This paper argues that certain CEO characteristics are a significant predictor of relative firm R&D spending and innovation performance and that executive boards need to be remain vigilant of their CEO’s performance by ensuring that they have the capabilities to drive innovation-led growth strategies.

The successful economic recovery from the global pandemic will be founded on the type of innovation-led growth that takes advantage of opportunities presented by a profoundly different competitive landscape. This paper demonstrates that certain CEO characteristics (age, education, career experience) are a significant predictor of relative firm R&D spending and innovation performance.

CEO performance is an increasingly important issue for many executive boards who are tasked with assessing whether or not incumbent CEOs and potential new CEO hires are equipped with the skills to drive innovation-led growth strategies. The findings will help executive board members and headhunting agencies to assess a CEO’s orientation toward innovation.

This paper presents a review of how certain CEO characteristics act as a predictor of relative firm R&D spending and innovation. It presents the main findings from both academic and business sources in a way that is easily accessible to executive boards, senior management and headhunting agencies.

The purpose of this study is to compare market reactions to the change in the demand by index funds between large and small company stocks by examining the transition of the S&P 500, S&P 400 MidCap and S&P 600 SmallCap indexes from market capitalization to free-float weighting. This unique information-free event allows not only avoiding confounding information signaling and investor awareness effects but also comparing the effect of the decrease in demand on stocks of different sizes.

This study uses the event study methodology to calculate abnormal returns and trading volume around the full-float adjustment day. It also tests for significant changes in institutional ownership and liquidity. Multivariate regressions are used to examine the relation of liquidity changes and price elasticity of demand to the cumulative abnormal returns around the full-float adjustment day.

This study finds significant decreases in stock price accompanied with significant increases in trading volume on the full-float adjustment day, and significant gains in quasi-indexer institutional ownership and liquidity. The main finding is that cumulative abnormal returns around the event period are related to changes in the number of quasi-indexer and transient institutional shareholders, not to changes in liquidity or price elasticity of demand.

This study provides the first comprehensive comparison analysis of stock market reactions to the decline in demand between large and small company stocks. As an important implication for future studies of the index effect, changes in institutional ownership should be considered in the analysis.

The purpose of this study is to analyze the determinants influencing Japanese consumers’ behavior toward the purchase of 5G smartphones.

Empirical data was collected through an online survey of 320 Japanese respondents from ages 20 to 59. Data was analyzed by exploratory factor analysis, confirmatory factor analysis and multiple regression analysis.

The results indicate that hedonic value, user interface and price value (PV) positively influence attitude toward 5G smartphone purchase, while utilitarian value does not. In addition, the mediation effect of social influence (SI) is found to increase those positive effects. Male and female consumers displayed differences in the determinants, showcasing the effect of gender on attitude and behavior.

To the best of the authors’ knowledge, this study is the first research to analyze Japanese consumers’ behaviors’ toward 5G smartphone purchase. Past research for 3G/4G smartphones supported that usefulness positively influenced consumers’ behavior toward smartphones, so usefulness of 5G (e.g. high speed) was expected to be a factor to influence consumer behaviors’ toward 5G smartphones. However, this research reveals that a simple tagline emphasizing such usefulness may not be convincing enough to promote the 5G smartphones to Japanese consumers. Alternatively, the research indicates that introducing the concepts of joyfulness, improved HV and greater PV of the 5G smartphone could attract more consumers in Japan. In addition, SI could enhance the perception of the various benefits of 5G smartphones.

The purpose of this paper is to understand why some US Senators have more low-quality followers than others and the potential impact of low-quality followers on understanding constituent preferences.

For each US Senator, data on Twitter followers was matched with demographic characteristics proven to influence behavior. An OLS regression model evaluated why some Senators attract more low-quality followers than others. Then, observations on the impact of low-quality followers were discussed along with potential effects on information gathering and constituent representation.

This study finds that total followers, ideology and length of time on Twitter are all significant predictors of whether a Senator might attract low-quality followers. Low-quality followers can have wide-ranging implications on Senator’s use of social media data to represent constituents and develop public policy.

The data set only includes Senators from the 115th Congress (2017–2018). As such, future research could expand the data to include additional Senators or members of the House of Representatives.

Information is essential in any decision-making environment, including legislatures. Understanding why some users, particularly public opinion leaders, attract more low-quality social media followers could help decision-makers better understand where information is coming from and how they might choose to evaluates its content.

This study finds two practical implications for public opinion leaders, including Senators. First, accounts must be actively monitored to identify and weed-out low-quality followers. Second, users need to be wary of disinformation and misinformation and they need to develop strategies to identify and eliminate it from the collection of follower preferences.

This study uses a unique data set to understand why some Senators have more low-quality followers than others and the impact on information gathering. Other previous studies have not addressed this issue in the context of governmental decision-making or constituent representation.

This study aims to propose an innovative model that integrates variables and examines the influence of internet usage expertise, perceived risk and attitude toward information control on privacy concerns (PC) and, consequently, in consumers’ willingness to disclose personal information online. The authors also propose to test the mediation role of trust between PCs and willingness to disclose information. Trust is not a predictor of PC but a causal mechanism – considering that the focus is to understand consumers’ attitudes and behavior regarding the virtual environment (not context-specific) (Martin, 2018).

The authors developed a survey questionnaire based on the constructs that compose the proposed model to collect data from 864 respondents. The survey questionnaire included the following scales: internet usage expertise from Ohanian (1990); perceived risk, attitude toward information control, trust and willingness to disclose personal information online from Malhotra et al. (2004); and PC from Castañeda and Montoro (2007). All items were measured on a Likert seven-point scale (1 = totally disagree; 7 = totally agree). To obtain Westin’s attitudinal categories toward privacy, respondents answered Westin’s three-item privacy index. For data analysis, the authors applied covariance-based structural equation modeling.

First, the proposed model explains the drivers of consumers’ disposition to provide personal information at a level that surpasses specific contexts (Martin, 2018), bringing the analysis to consumers’ level and considering their general perceptions toward data privacy. Second, the findings provide inputs to propose a better definition of Westin’s attitudinal categories toward privacy, which used to be defined only by individuals’ information privacy perception. Consumers’ perceptions about their abilities in using the internet, the risks, their beliefs toward information control and trust also help to delimitate and distinguish the fundamentalists, the pragmatics and the unconcerned.

Some limitations weigh the theoretical and practical implications of this study. The sample size of pragmatic and unconcerned respondents was substantially smaller than that of fundamentalists. It might be explained by applying Westin’s self-report index to classify the groups according to their score regarding PCs. Most individuals affirm having a great concern for their data privacy but still provide online information for the benefit of personalization – known as the privacy paradox (Zeng et al., 2021). It leads to another limitation of this research, given the lack of measures that classify respondents by considering their actual behavior toward privacy.

PC emerges as an important predictor of consumer trust and willingness to disclose their data online, and trust also influences this disposition. Managers need to implement actions that effectively reduce consumers’ concerns about privacy and increase their trust in the company – e.g. adopting a clear and transparent policy on how the data collected is stored, treated, protected and used to benefit the consumer. Regarding the perception of risk, if managers convince consumers that the data collected on the internet is protected, they tend to be less concerned about privacy.

The results suggest different aspects influencing the willingness to disclose personal information online, including different responses considering consumers’ PCs. Through their policies and legislation, the authors understand that governments must be attentive to this aspect, establishing regulations that protect consumers’ data in the virtual environment. In addition to regulatory policies, education campaigns can be carried out for both consumers and managers to raise the discussion about privacy and the availability of information in the online environment, demonstrating the importance of protecting personal data to benefit the government, consumers and organizations.

Although there is increasing research on consumers’ privacy, studies have not considered their attitudinal classifications – high, moderate and low concern – as moderators of willingness to disclose information online. Researchers have also increased attention to the antecedents of PCs and disclosure of information but overlooked possible mechanisms that explain the relationship between them.