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Understanding the factors that influence entrepreneurs throughout the entrepreneurial process has been a vital topic of entrepreneurial research. Despite societal changes, male entrepreneurs still outnumber females. The purpose of this paper is to develop a greater grasp on the factors that contribute to this phenomenon.

Utilizing social dominance theory and social cognition theory, the authors suggest that a female entrepreneur’s social dominance orientation (SDO) and mentorship experiences will influence her social and conventional entrepreneurial intention.

The authors’ theorizing suggests SDO can lower entrepreneurial self-efficacy which in turn can lower conventional entrepreneurial intentions but increase social intentions in some women. However, if the entrepreneur has mentoring, the effect could be dissipated.

This paper is one of the first to examine the impact of SDO on entrepreneurial intentions, and builds on the work of other scholars.

Building on recent advances in inverse probability weighted identification and estimation of counterfactual distributions, the authors examine the history of wage earnings for women and their potential wage distributions in the United States. These potentials are two counterfactuals, what if women received men’s market “rewards” for their own “skills,” and what if they received the women’s rewards but for men’s characteristics? Using the Current Population Survey data from 1976 to 2013, the authors analyze the entire counterfactual distributions to separate the “structure” and human capital “composition” effect. In contrast to Maasoumi and Wang (2019), the reference outcome in these decompositions is women’s observed earnings distribution, and inverse probability methods are employed, rather than the conditional quantile approaches. The authors provide decision theoretic measures of the distance between two distributions, to complement assessments based on mean, median, or particular quantiles. We assess uniform rankings of alternate distributions by tests of stochastic dominance in order to identify evaluations robust to subjective measures. Traditional moment-based measures severely underestimate the declining trend of the structure effect. Nevertheless, dominance rankings suggest that the structure (“discrimination”?) effect is bigger than human capital characteristics.

This paper investigates the factors responsible for the emergence of different arrangements of state–society relations. Being concerned with the relations related to the industrial sector, this study focuses more on state–business–labor relations (SBLRs), especially on power dynamics between the main actors in these relations, namely, the state, tycoons, entrepreneurs and labor.

Based on power dynamics, four SBLR modes are identified and differentiated according to state power vis-à-vis non-state actors and tycoon power vis-à-vis the other non-state actors. The balanced mode is characterized by balanced power relations among the four considered actors. In the capture mode, tycoons are more powerful than other actors, including the state, although other nonsocial actors have organizational rights. The crony mode has powerful state, subservient tycoons who enjoy high levels of favoritism and low organizational power for the other social actors. Finally, the state-dominance mode has powerful state, low levels of favoritism to tycoons and low organizational power for all social actors. The paper then explores the factors responsible for the emergence of each of these modes by investigating the factors’ effects on state power and favoritism to tycoons. The investigated factors include historical political–economic, geographical, legal and cultural factors. The hypothesized effects of these factors are then tested using a random-effects probit regression model, investigating how the different factors affect the probability of the existence of the studied SBLR modes.

The results support much of the hypothesized relations and place more emphasis on some of the investigated factors. Earlier development is clearly responsible for the emergence of either the balanced or the state-capture SBLR mode. Geographical conditions favorable for development, such as latitude and metal richness, also lead to the emergence of either mode. The communist heritage, and more accurately the post-communist economic and incomplete political liberalism of the transition stage, contributed to the emergence of the state-capture SBLR mode. The British legal system, with the power it provides to non-state actors through the independence of judges and other measures, contributes to the emergence of the balanced SBLR mode. Cultural factors are largely responsible for the emergence of the crony SBLR mode, especially hierarchical and collectivist cultures, as well as ethnic fractionalization. On the other hand, the culture of Confucians has the strongest influence on the emergence of state dominance, while other cultures play a marginal role in its rise, and ethnic fractionalization marginally defuses the ability of the state to dominate without resorting to favoritism. Finally, access to rich natural resources, by enriching the state independently from social actors’ financial resources (e.g. taxation), marginally increases the probability of the emergence of the state-dominance mode.

There is room for path dependency to explain the emergence of different SBLR modes in many countries. Unfortunately, the introduced regression model and any quantitative empirical work would not be able to effectively investigate such a process. Instead, an approach depending on case studies and a deeper investigation of country-specific historical political development is needed to complement the research done here. Conducting such an additional quest would help in reaching a more comprehensive understanding of why different countries have different SBLR modes. This should ultimately help in answering an equally important question: How to reverse engineer the emergence of favorable SBLR modes?

Although this paper did not investigate the economic merits or mischiefs of each of the studied modes, it is plausible to think of the balanced SBLR as the best mode. This is supported not only by the fact that most of the countries of this mode are developed countries but also by the attractiveness of the power dynamics governing this mode—a more balanced power among different SBLR actors. While some factors are almost impossible to replicate, for example, geographical factors, reform could target the factors that could be changed or mitigated. This is true for legal reform, especially for fostering the independence of judges. Culture is often regarded as a sticky institution. However, this is not always true, even though the change happens in the long run. A sort of dynamism should always be considered when referring to culture through time and space. Institutional reform could be instrumental in the long run in this regard. Conducting such reform with the help of such “exogenous” institutions should always consider the match between these institutions and “endogenous” institutions, such as culture. That is to say, the connection between democratization, fostering accountability and curbing favoritism and cultural values leaning toward these principles should be firmly established. Finally, a point of optimism is that—based on the results of this paper—reaching a high state of development could increase the chances of realizing a more balanced SBLR mode in the long run.

This paper represents a novel contribution to a topic that has hardly been addressed in the literature. The methodology that is used identifies different state–society relation modes and focuses on power relations in SBLRs is another important contribution to the present literature in many fields, such as institutional economics, socioeconomics and political economy.

The manufacturing industry is one of the most disrupted systems as a result of the global spread of the Covid-19 pandemic. Manufacturing firms are looking for strategies and policies to deal with the situation while also meeting customer demands. This study aims to discuss and analyze the barriers that have impacted manufacturing systems during this period.

The barriers and performance measures were extracted from the extant literature and further discussed with academic and industry experts. Based on the response of experts, a list of ten barriers and five performance measures were selected for further analysis. The interpretive ranking process (IRP) is applied to analyze the inter-relationship among the barriers with respect to performance variables. The cross-interaction matrices and the dominance profile are created to prioritize the barriers. Based on dominance value, an IRP-based manufacturing barrier evaluation model is developed for validation.

The impact of the pandemic on the manufacturing industry is analyzed through the list of barriers and a structured ranking model is proposed. The research findings of the study indicate that “Financial constraints” is the most influential barrier to manufacturing due to the outbreak of Covid-19, followed by “Government imposed restrictions” and “Setbacks in logistics services.”

The ranking of barriers and developed interpretive ranking process model would be helpful for practitioners and policymakers to formulate strategies for manufacturing organizations to deal with the pandemic situation. The finding can be beneficial as it promotes similar studies in other sectors.

This study contributes to the manufacturing sector by developing a contextual relationship among the set of identified barriers against various performance measures. As per the author's knowledge, this is the first study that provides a relationship and ranking of manufacturing barriers due to the outbreak of Covid-19.

The purpose of this paper is to explore the work practices of Big 4 firms in Bangladesh with the aim of exploring the extent to which global professional service firms (GPSFs) can be thought of as being genuinely “global”.

Interviews were undertaken with the vast majority of Big 4 partners in Bangladesh. These interviews explored a number of themes related to the professional service work context in Bangladesh and the relationship between local and global firms.

The central finding of this paper is that although the Big 4 have a long-established presence in Bangladesh, local societal factors heavily influence the realities of work for accountants there. In most cases the Big 4 firms establish correspondent firms (instead of full member firms) in Bangladesh and tend to offer restricted service lines. Additionally, the paper identifies professional, commercial and cultural barriers to greater Big 4 involvement in the local market. Conceptually, the chief contribution of this paper is to explore how the effects of globalizing capitalism and standardised “best practices” in global professional service work are mediated through the societal effects of Bangladeshi society, resulting in the Big 4 having only a tentative presence in the Bangladeshi market.

The findings cast doubt on the extent to which self-styled GPSFs are truly “global” in nature. Future work examining the Big 4, or accounting more generally, in the context of globalization, would do well to pay greater attention to the experience of professionals in emerging markets.

Whilst there has been much work looking at accounting and accountants in the context of globalization, this work has tended to privilege “core” western empirical settings. Very little is known about professional service firms in “peripheral” emerging markets. Furthermore, this study extends the application of the system, society and dominance framework by mapping the interactions and dynamics of these three sources of influence in the setting of PSFs.

This study analyzes the effect of ambiguity aversion on precautionary effort under a two period model when background risk like income risk is added to loss. Precautionary effort only affects the probability of loss occurrence. The sufficient conditions under which a risk averse and ambiguity averse individual makes more effort than a risk averse and ambiguity neutral one are as follows. First, the distribution of background risk changes in type of first order stochastic dominance. Second, the distribution of background risk changes in type of second order stochastic dominance and the utility function shows prudence. In both cases, AAA (absolute ambiguity aversion) should not increase. That is, AAA denotes DAAA (Decreasing Absolute Ambiguity Aversion) or CAAA (Constant Absolute Ambiguity Aversion). The effect of AAA is not observed in the existing literatures which assume a one-period model. In a one period model, the effect of AAA on precautionary effort of a long term may have ignored. Lastly, precautionary effort increases if and only if AAA is not increasing in cases when the background risk follows binary distribution or an individual is risk neutral and ambiguity averse.

Social media platforms are highly visible platforms, so politicians try to maximize their benefits from their use, especially during election campaigns. On the other side, people express their views and sentiments toward politicians and political issues on social media, thus enabling them to observe their online political behavior. Therefore, this study aims to investigate user reactions on social media during the 2016 US presidential campaign to decide which candidate invoked stronger emotions on social media.

For testing the proposed hypotheses regarding emotional reactions to social media content during the 2016 presidential campaign, regression analysis was used to analyze a data set that consists of Trump’s 996 posts and Clinton’s 1,253 posts on Facebook. The proposed regression models are based on viral (likes, shares, comments) and emotional Facebook reactions (Angry, Haha, Sad, Surprise, Wow) as well as Russell’s valence, arousal, dominance (VAD) circumplex model for valence, arousal and dominance.

The results of regression analysis indicate how Facebook users felt about both presidential candidates. For Clinton’s page, both positive and negative content are equally liked, while Trump’s followers prefer funny and positive emotions. For both candidates, positive and negative content influences the number of comments. Trump’s followers mostly share positive content and the content that makes them angry, while Clinton’s followers share any content that does not make them angry. Based on VAD analysis, less dominant content, with high arousal and more positive emotions, is more liked on Trump’s page, where valence is a significant predictor for commenting and sharing. More positive content is more liked on Clinton’s page, where both positive and negative emotions with low arousal are correlated to commenting and sharing of posts.

Building on an empirical data set from Facebook, this study shows how differently the presidential candidates communicated on social media during the 2016 election campaign. According to the findings, Trump used a hard campaign strategy, while Clinton used a soft strategy.

This study identifies key facets leading to consumers' Internet of Things (IoT) adoption intention.

Applying four technology acceptance theories (theory of planned behavior, technology acceptance model, pleasure-arousal-dominance theory and technology readiness index), the author uses deductive quantitative research to develop a model, explaining IoT adoption intentions. Administrated questionnaires are distributed in Egypt among generation-Z and millennials in malls. A total of 400 questionnaires are used for hypotheses testing, applying structural equation modeling (SEM) path coefficient analysis.

Results of this study show that attitude, dominance, perceived usefulness, innovativeness and insecurity impact consumers' IoT adoption intentions; subjective norms, perceived behavior control, pleasure, arousal, perceived ease, optimism and discomfort hold insignificant impact on consumers' IoT adoption intentions.

Exploring IoT facets and how these facets impact consumers' adoption intentions, this study helps grasp technology acceptance in theory and practice, guiding scholar and practitioners (e.g. IoT developers, retailers, marketers and other field experts) to consider consumers' mindset when developing, improving and marketing IoT.

The contribution stems from the incorporation of various frameworks used to explain technology acceptance. By studying several theories jointly, the research extracts and identifies a significant set of facets (technical and psychological) to build a comprehensive theory of IoT acceptance, showing consumers' IoT adoption is not entirely similar to adoption of other past innovations. This understanding allows marketers to focus on content that needs to be promoted to boost consumers' IoT purchase plans. Future researchers could replicate the results to IoT categories (e.g. home appliances, cars, healthcare, education, sportswear, etc.) to improve external validity of the findings, among other future research opportunities.

This study was performed to confirm that autonomic nervous activity is affected by breathing speed. I hypothesized that prolonged expiratory breathing would promote parasympathetic dominance, whereas rapid breathing would promote sympathetic dominance. Ten healthy men, ages 21-28 years old, were instructed to perform prolonged expiratory breathing (6 seconds expiration, 4 seconds inspiration) after spontaneous breathing and rapid breathing (1 second expiration, 1 second inspiration) after spontaneous breathing; changes in high frequency (HF) and low frequency (LF)/HF of heart rate variability (HRV) were measured during each type of breathing. During prolonged expiratory breathing, parasympathetic nervous function was significantly activated. Conversely, during rapid breathing, parasympathetic nervous function was significantly suppressed. The HRV method assessing sympathetic and parasympathetic modulation in this study is an indirect, noninvasive method with clear limitations. The use of additional techniques should be considered to clarify the relationships between the breathing speed and the mind.