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This study examines the effect of female governors (gender effect) on environmental performance in terms of state-level carbon dioxide (CO2) emissions in United States.

The study used annual data from 1970 to 2020 to investigate the relationship between female political leadership and state-level CO2 emissions. Hypothesis was tested through ordinary least squares regression (OLS). The results of the study were also validated using propensity score matching and a difference-in-difference approach.

This study provides empirical insights into the relationship between female political leadership and state-level CO2 emissions. The findings indicate that female governors have a significant negative impact on state-level CO2 emissions per capita. These results suggest that female political leadership is associated with a reduction in CO2 emissions per capita at the state level. The results also show that states under the leadership of female governors experience lower levels of CO2 emissions than those with male governors, indicating female leadership’s potential to promote environmental sustainability.

The findings of this study have practical implications for policymakers, government officials, and other stakeholders involved in the formulation of strategies to promote environmental sustainability. This study highlights the significant role that female political leader play in mitigating CO2 emissions at the state level. It suggests that promoting female in political leadership positions can lead to more environmentally conscious policy decisions and actions, resulting in reduced CO2 emissions per capita. Policymakers should actively encourage women’s participation in leadership roles to utilize their potential contributions to advancing sustainability goals. Furthermore, organizations that focus on environmental issues should prioritize supporting and promoting female leaders who have demonstrated a commitment to environmental sustainability. Ultimately, this study highlights the need for female in political leadership as a potential strategy to address environmental challenges and advance a more sustainable future.

This study pioneers research on the links between female political leadership and state-level CO2 emissions. This study contributes to the literature by emphasizing the potential role of female political leaders in promoting environmental sustainability. Overall, this study enriches the social role and upper echelons theories literature through empirical evidence.

This chapter examines the dynamics of occupational segregation by gender in the German vocational training system (VET) and explores the validity of two hypotheses regarding the causes of changes in the sex composition of occupations. According to the first, the ‘job growth hypothesis’, feminisation of occupations occurs when women increasingly enter growing employment sectors that are experiencing a shortage of (preferred) male candidates. According to the second, the ‘exit hypothesis’, the movement of men out of selected occupations is the main mechanism driving the changes. Using official data from enrolment into the VET of skilled crafts for the period of 1997–2013, we find a very high level of occupational segregation, a very modest trend toward desegregation and a substantial increase of female representation in a group of selected training occupations. Our analysis implies that the rising share of female apprentices within these fields cannot be explained by an increased entry of young women into growing employment sectors, but that it mainly results from a disproportionate reduction of male participation in select occupations.

There are many investigations in design methodologies, but there are also divergences and convergences as there are so many points of view. This study aims to evaluate to corroborate and deepen other researchers’ findings, dissipate divergences and provide directing to future work on the subject from a methodological and convergent perspective.

This study analyzes the previous reviews (about 15 reviews) and based on the consensus and the classifications provided by these authors, a significant sample of research is analyzed in the design for additive manufacturing (DFAM) theme (approximately 80 articles until June of 2017 and approximately 280–300 articles until February of 2019) through descriptive statistics, to corroborate and deepen the findings of other researchers.

Throughout this work, this paper found statistics indicating that the main areas studied are: multiple objective optimizations, execution of the design, general DFAM and DFAM for functional performance. Among the main conclusions: there is a lack of innovation in the products developed with the methodologies, there is a lack of exhaustivity in the methodologies, there are few efforts to include environmental aspects in the methodologies, many of the methods include economic and cost evaluation, but are not very explicit and broad (sustainability evaluation), it is necessary to consider a greater variety of functions, among other conclusions

The novelty in this study is the methodology. It is very objective, comprehensive and quantitative. The starting point is not the case studies nor the qualitative criteria, but the figures and quantities of methodologies. The main contribution of this review article is to guide future work on the subject from a methodological and convergent perspective and this article provides a broad database with articles containing information on many issues to make decisions: design methodology; optimization; processes, selection of parts and materials; cost and product management; mechanical, electrical and thermal properties; health and environmental impact, etc.

Gender inequality in the workplace is often attributed to the preponderance of men in positions of power. However, there is little empirical work investigating whether gender inequality is mitigated by having women in positions of power, and the work that does so is unable to match individual workers to those in positions of power over them. This study uses a survey of 2,000 small businesses to examine how gender differences in wages vary among establishments with male and female owners. We find no systematic differences between the levels of gender wage inequality in female owned small business and male owned small businesses.

Several studies were made on paired site and soil–structure interaction (SSI) effects, but most of them were site specific. This paper aims to investigate the impact of SSI effects in conjunction with local soil condition effects on the seismic response of typical multistory low- to mid-rise–reinforced concrete (RC) buildings resting on Algerian regulatory design sites through a global explicit transfer function (TF).

A preliminary quantification of SSI effects associated with site effects is carried out through a frequency-domain solution based on the concept of rock-to-soil surface displacement TF performed for each design site category. It results from the combination of the TFs of structure, foundation and soil and reflects how seismic waves are amplified due to changes in the geological contrast between the rock and overlying soil deposits. As well, response modification factors, denoting displacement ratios of the building responses within the flexible and site-structure conditions with respect to the fixed-base one, are carried out.

In the context of Algerian seismic regulation, the study provides a clear vision of how and when site or SSI effects are expected to be influential, as opposed to the fixed-base hypothesis still retained by the current regulation. This helps engineers to be aware of the extent of the expected seismic damage.

The research applies to low- to mid-rise RC buildings within the Algerian seismic regulation, but it may also be expanded to other examples that fall under other seismic regulations.

The response modification ratio is a quantitative approach to assessing response fluctuations. It draws attention to how the roof level drift varies depending on the condition. These results can be used as numerical parameters in structural seismic design when the structure is comparable because they provide useful information about how the two phenomena interact with the structure.

The study goes beyond particular situations dealing with site specific and offers effective indicators and quantitative evaluation of combined site and SSI effects according to the current national seismic provisions, where no indication about site or SSI effects exists.

Social entrepreneurs often make public appeals for funding to investors who are motivated by nonfinancial considerations. This emerging research context is an opportunity for researchers to expand the bounds of entrepreneurship theory. To do so, we require appropriate research tools. In this chapter, we show how computer-aided text analysis (CATA) can be applied to advance social entrepreneurship research. We demonstrate how CATA is well suited to analyze the public appeals for resources made by entrepreneurs, provide insight into the rationale of social lenders, and overcome challenges associated with traditional survey methods.

We illustrate the advantages of CATA by examining how charismatic language in 13,000 entrepreneurial narratives provided by entrepreneurs in developing countries influences funding speed from social lenders. CATA is used to assess the eight dimensions of charismatic rhetoric.

We find that four of the dimensions of charismatic rhetoric examined were important in predicting funding outcomes for entrepreneurs.

Data collection and sample size are important challenges facing social entrepreneurship research. This chapter demonstrates how CATA techniques can be used to collect valuable data and increase sample size. This chapter also examines how the rhetoric used by entrepreneurs impacts their fundraising efforts.

The purpose of this study is to examine talent management process in a region that has been influenced by Eastern culture.

This research is a multiple case study of six MNCs in Asia. Cross-cases analysis was used to reveal differences and similarities. The data were collected through phone interviews with HR managers and written communications as well as organizations’ websites.

The studied companies were dealing with several challenges regarding talent management process, including challenges of attracting and retaining talent, tension between subsidiaries and headquarters, tension between high potentials and non-high potentials and tension between generations. These companies’ strategies for addressing these challenges were also identified and discussed.

This paper revealed talent management orientation, the approach toward and definition of talent and context-specific issues regarding talent management of the selected companies in a region in which this topic has not been sufficiently studied in the past.

Purpose – We delineate how the concept of reputation has been used in different literatures. We develop some formal definitions of observers and reputation that bring together the different literatures. We then ask how noncooperative or “bad” reputations might be repaired. Based on the developed definitions and past research, we suggest some possibilities for reconciliation. We also work on developing an experimental paradigm to investigate reputation.

Methodological/Approach – We review research from different disciplines, develop definitions, and design an experiment.

Findings – We suggest that, under certain conditions, group reconciliation can occur. However, these conditions are quite specific.

Practical Implications – When the goal is to solve a social dilemma, reconciliation is an important part of the process. Without reconciliation, group integration is problematic.

Social Implications – Reconciliation can be a powerful process that encourages cooperation. We suggest some ways that reconciliation might be possible.

Originality/Value of the Chapter – This chapter suggests a new formalization to connect different conceptualizations of reputations.

Medication errors are an important patient safety issue. Electronic medication reconciliation is a system designed to correct medication discrepancies at transitions in healthcare. The purpose of this paper is to measure types and prevalence of intravenous antibiotic errors at hospital discharge before and after the addition of an electronic discharge medication reconciliation tool (EDMRT).

A retrospective study was conducted at a tertiary hospital where house officers order discharge medications. In total, 100 pre-EDMRT and 100 post-EDMRT subjects were randomly recruited from the study center’s clinical Outpatient Parenteral Antimicrobial Therapy (OPAT) program. Using infectious disease consultant recommendations as gold standard, each antibiotic listed in these consultant notes was compared to the hospital discharge orders to ascertain the primary outcome: presence of an intravenous antibiotic error in the discharge orders. The primary covariate of interest was pre- vs post-EDMRT group. After generating the crude prevalence of antibiotic errors, logistic regression accounted for potential confounding: discharge day (weekend vs weekday), average years of practice by prescribing physician, inpatient service (medicine vs surgery) and number of discharge mediations per patient.

Prevalence of medication errors decreased from 30 percent (30/100) among pre-EDMRT subjects to 15 percent (15/100) errors among post-EDMRT subjects. Dosage errors were the most common type of medication error. The adjusted odds ratio of discharge with intravenous antibiotic error in the post-EDMRT era was 0.39 (0.18, 0.87) compared to the pre-EDMRT era. In the adjusted model, the total number of discharge medications was associated with increased OR of discharge error.

To the authors’ knowledge, no other study has examined the impact of reconciliation on types and prevalence of medication errors at hospital discharge. The focus on intravenous antibiotics as a class of high-stakes medications with serious risks to patient safety during error events highlights the clinical importance of the findings. Electronic medication reconciliation may be an important tool in efforts to improve patient safety.

A growing body of research outlines how to best facilitate and ensure methodological rigor when using dictionary-based computerized text analyses (DBCTA) in organizational research. However, these best practices are currently scattered across several methodological and empirical manuscripts, making it difficult for scholars new to the technique to implement DBCTA in their own research. To better equip researchers looking to leverage this technique, this methodological report consolidates current best practices for applying DBCTA into a single, practical guide. In doing so, we provide direction regarding how to make key design decisions and identify valuable resources to help researchers from the beginning of the research process through final publication. Consequently, we advance DBCTA methods research by providing a one-stop reference for novices and experts alike concerning current best practices and available resources.