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Causal relationships between top management team (TMT) characteristics and corporate political activity (CPA) are well established in management literature. Yet, recent research has uncovered that there is little consistency in how researchers operationalize the TMT. Thus, the purpose of this paper is to empirically demonstrate how variation in TMT operationalization can affect causal relationships between TMT characteristics and CPA. Theoretical implications for these findings are discussed.

This study examines how varying the operationalization of the TMT affects the statistical outcomes of random-effects negative binomial regression models that examine how the state-level CPA of the largest 100 firms headquartered in Texas (from 2000 to 2010) is influenced by TMT characteristics.

How the TMT is operationalized greatly affects the level and significance of study results. These findings inform TMT and CPA research theoretically and statistically.

This study underscores the importance of definition of TMT in studies where it is a variable.

This study provides novel insights into how TMT operationalization can greatly affect TMT research and theory.

Whenever social injustice tackled by social movements receives heightened media attention, charitable crowdfunding platforms offer an opportunity to proactively advocate for equality by donating money to affected people. This research examines how the Black Lives Matter movement and the associated social protest cycle after the death of George Floyd have influenced donation behavior for campaigns with a personal goal and those with a societal goal supporting the black community.

This paper follows a quantitative research approach by applying a quasi-experimental research design on a GoFundMe dataset. In total, 67,905 campaigns and 1,362,499 individual donations were analyzed.

We uncover a rise in donations for campaigns supporting the black community, which lasts substantially longer for campaigns with a societal than with a personal funding goal. Informed by construal level theory, we attribute this heterogeneity to changes in the level of abstractness of the problems that social movements aim to tackle.

This research advances the knowledge of individual donation behavior in charitable crowdfunding. Our results highlight the important role that charitable crowdfunding campaigns play in promoting social justice and anti-discrimination as part of social protest cycles.

To achieve net-zero by mid-century consistent with the Paris Agreement, companies must urgently formulate and implement decarbonization actions. While previous research has categorized numerous carbon management and carbon accounting actions, these domains have often been studied in isolation. We classify carbon management actions into four categories (inaction, ineffective, supportive and effective) and connect them to carbon accounting actions in a subsequent step, revealing four archetypical patterns of corporate decarbonization responses. The primary aim of this empirical study is to comprehensively assess how companies implement carbon management and carbon accounting actions in parallel and build an understanding of the various factors affecting each other, and how these domains affect carbon performance altogether.

This study adopted a maximum diverse sampling approach to assess carbon management actions in 22 international companies and link them to carbon accounting actions. Data sources included interviews with sustainability managers, field notes from a joint meeting and sustainability reports. The heterogeneous sample aimed for maximum diversity, covering various sectors and headquarters locations, yet all companies have communicated a commitment to reducing carbon emissions. A qualitative content analysis was used to find connections between carbon management actions and carbon accounting actions, resulting in four archetypical patterns.

The study identifies a range of carbon management actions, from inaction to effective action, and corresponding carbon accounting actions for monitoring, disclosure, and internal information use. Effective carbon management actions correlate with comprehensive carbon accounting actions, while ineffective management shows limited use of these actions. Based on these findings, we examine links between carbon management and carbon accounting and identify four archetypical patterns of corporate decarbonization responses.

This study examines the interconnectedness of carbon management and carbon accounting, identifying archetypical patterns that explain their effectiveness in reducing corporate carbon emissions. It provides a framework for analyzing companies’ carbon management and highlights the essential role of carbon accounting in monitoring, disclosing and internal data use. Said framework and conclusions can guide future research and management.

This paper provides novel evidence on the role of gender in the performance of university students, which is particularly relevant to the debate on the performance of female students in science, technology, engineering and mathematics (STEM) subjects.

Our approach relies on the metafrontier approach proposed by Huang et al. (2014), which measures students' efficiency within a given faculty and the impact of the faculty’s technology on students’ efficiency. We use a sample of 53,159 first-year students in 8 faculties from a large university in southern Italy from 2002–2003 to 2010–2011.

Students’ efficiency is relatively low, reflecting an essential role of unobserved heterogeneity. The different technologies of somewhat similar faculties have minimal impact on efficiency. There is a performance gap against women in five faculties, which on average is strongest for the faculties in the pure and applied science area. This gap increases with the proportion of female students and decreases with female lecturers.

The metafrontier has the benefit of providing relevant policy information on the drivers of student success by relying on data that universities routinely generate and preserve.

The stochastic metafrontier approach allows us to separate the group-specific frontiers from the metafrontier, yielding a decomposition of the efficiency scores of various faculties into technical efficiency scores and technological gaps.

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.

This paper looks at how stakeholders co-create value at mega-events from a service ecosystem perspective. Despite the growing interest, little is known about how value is co-created through such initiatives for individual stakeholders and the community.

Drawing on institutional and stakeholder theory, the study focuses on Cortina 2021, the World Ski Championships held in Italy in February 2021. It investigates how multiple actors co-create value within a service ecosystem through qualitative interviews with key stakeholders combined with the analysis of official documents and reports.

The research established that key stakeholders were willing to get involved with Cortina 2021 if they recognised the value which could be co-created. Such an ecosystem requires a focal organisation with a clear regulative and normative framework and a common cultural basis. The latter helped resilience in the extraordinary circumstances of Cortina 2021 and safeguarded long-term impacts, even though the expected short-term ones were compromised.

From a managerial point of view, the evidence from Cortina 2021 shows how a clear strategy with well-defined stakeholder engagement mechanisms can facilitate value co-creation in service ecosystems. Moreover, when regulative and normative elements are blurred because of an extraordinary circumstance, resource integration and value creation processes need to be entrusted to those cultural elements that characterise an ecosystem.

The study takes an ecosystemic approach to mega-events to explore value creation for the whole community at the macro level, not only at the individual or organisational level, even during a crisis, which greatly impaired the preparation and running of the event.

This research examines the drivers of electric vehicle (EV) acceptance in the Kingdom of Saudi Arabia (KSA) by applying the unified theory of acceptance and use of technology (UTAUT) model, contextualized for the EV setting. The study aims to provide insights supporting the transition to sustainable transportation and identifying consumer perceptions and behavioral intentions toward EV adoption.

Based on survey data from a convenience sample collected from undergraduate and MBA students in a major university of KSA, the authors use seemingly unrelated regressions to provide novel insights on electric vehicle acceptance.

The study shows UTAUT constructs influence purchase intentions and attitudinal outcomes. Results indicate that perceived EV sustainability plays an important role in the relationship between UTAUT constructs and purchase intention alongside attitudes toward EV technology. Technological innovativeness enhances the impact of EV attitude and weakens the effect of perceived EV sustainability on purchase intention.

The study benefits researchers on sustainable technology acceptance and stakeholders facilitating sustainable transportation shifts. The insights guide the promotion of eco-friendly transportation solutions.

The research contextualizes and extends the UTAUT model constructs to understand drivers of EV acceptance. The study contributes to understanding sustainable innovation acceptance, considering the mediating role of perceptions of EV sustainability and the moderating role of technological innovativeness in driving purchase intentions.