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The author aims to walk beside the singular privileged class of White women’s suffrage feminist origin story to (re)construct plausible feminist fragmented threads as antenarratives in the context of business management education. To accomplish this (re)assembling of threads, the author examined two North American business trade publications created and used within two business schools, Harvard University’s Harvard Business Review (HBR), established in 1922, and Western University’s The Quarterly Review of Commerce (The Quarterly), established in 1933.

The author carefully reviewed almost 4,000 articles from HBR and The Quarterly, focusing on 308 articles that addressed the experiences of complex women. With this subset of collected articles, the author highlighted overlooked details, accidents and errors, generating interest and curiosity about the emergence of these fragmented and paradoxical origins that align with Foucault's histories of errors. By grouping these narrative fragments into themes and conducting a critical discourse analysis that incorporated influences from the external environment, the author reconstructed plural feminist origins antenarratives.

The themes discovered, including women as consumers, explicit working women concerns, women as authors/coauthors, diversity and social justice initiatives, and women in higher education/training, are not merely descriptive observations. They are the building blocks for identifying and analyzing the power relations circulating among feminist origins antenarratives within management education circles. These antenarratives include shedding light on women working in capitalist contexts, the educational needs of business women, and men and naming (but not breaking) the “mythologies” of women at work. These findings are transformative to the understanding of plural feminist origins.

The uniqueness of this work lies in its threefold contributions: moving away from the notion of a singular feminist origin story and instead embracing the complexity of multiple, paradoxical and incomplete origins; shedding light on the spectrum of power relations – ranging from productive to oppressive – that shaped the experiences of women in two management educational circles during the first half of the 20th century; and introducing the concept of inflection points, which underscores the fluidity of knowledge.

The Polish economy has undergone major challenges and changes over the past few decades. The country's trade flows, in particular, have become more firmly tied to the country’s Western neighbors as they have grown in volume. This study examines Poland's trade balances in ten Standard International Trade Classification (SITC) sectors versus the United States of America, first testing for and isolating structural breaks in each time series. These breaks are then included in a set of the cointegration models to examine their macroeconomic determinants.

Linear and nonlinear and nonlinear autoregressive distributed lag models, both with and without dummies corresponding to structural breaks, are estimated.

One key finding is that incorporating these breaks reduces the significance of the real exchange rate in the model, supporting the hypothesis that this variable already incorporates important information. It also results in weaker evidence for cointegration of all variables in certain sectors.

This study looks only at one pair of countries, without any third-country effects.

An important country pair's trade relations is examined; in addition, the real exchange rate is shown to incorporate economic information that results in structural changes in the economy. The paper extends the existing literature by conducting an analysis of Poland's trade balances with the USA, which have not been studied in such a context so far. A strong point is a broad methodology that lets compare the results the authors obtained with different kinds of models, both linear and nonlinear ones, with and without structural breaks.

This paper aims to describe and evaluate the impact of a compassion-focused therapy (CFT) group for adults with intellectual disabilities (ID).

People with ID are commonly subjected to stigmatising experiences that can contribute to feelings of shame. CFT targets shame and self-criticism by helping people to cultivate self-compassion. There is evidence to suggest that CFT can be meaningfully adapted for people with ID. Qualitative and quantitative data were collected using a mixed-methods design, aiming to gain a rich evaluation of the CFT group. Eight adults with ID were referred by their local community psychology team. An 11-week group protocol was based on materials from previous research. The protocol included the development of a “compassion box”, aiming to make CFT concepts more concrete and tangible. Questionnaires measuring psychological distress, self-compassion and negative social comparisons were completed pre- and post-group. Feedback from participants and carers were collated and facilitators’ observations were recorded.

Questionnaire findings were mixed, and some participants found the measures difficult to understand. Participants’ qualitative feedback and facilitators’ observations suggested that the group created feelings of safety and connectedness whilst facilitating engagement and action with shame and self-criticism. Several participants highlighted the usefulness of the ‘”compassion box”, although some barriers were noted.

This paper provides a rich description of how group CFT can be adapted to meet the needs of adults with ID and is the first study of its kind, to the best of the authors’ knowledge, to evaluate the incorporation of the “compassion box”.

Introduction: Skill development is crucial in developing economies by enhancing productivity and creating employment opportunities. At the macro level, it also leads to industrial development and economic growth.

Purpose: The research is to identify the types of skills required for increasing the probability of employability of labour. It also aims to define the challenges and opportunities in skill development to drive change.

Need of the Study: Studying opportunities and challenges for skill development in developing economies is essential for achieving sustainable economic growth, reducing poverty, increasing employment opportunities, and promoting global competitiveness.

Research Methodology: Some skills are recognised through research that has been published to determine the skill set needed to increase labour productivity. To draw lessons, some skill development initiatives by various companies are also identified and presented in case studies. Additionally, several government programs are available to assess the possibilities and prospects for skill development in the Indian market.

Practical Implications: The research will be valuable in micro and macro decision making. At the micro level, research is advantageous for a business person to initiate the skill development of its employees by using government schemes. Nations other than India can understand the policy framework for skill development.

Findings: The term ‘skilling’ has become fashionable. Due to the need for skill-based earnings data, only some studies examine the return on skill (ROS) of the labour market. Skill development plays a significant role in bringing change at the micro and macro levels. Hence it is necessary to exploit all opportunities for skill development.

The volatility of exchange rate has generally been sighted as a primary cause for various shocks and instability in international trade of Ghana as witnessed over the years and most especially in recent times. Hence, owing to the increasing trade levels between Ghana and Ghana's global trading partners, the study aims to investigate if the trade–exchange rate volatility nexus in Ghana supports the positive, negative or ambiguous hypotheses?

The study investigates the effects of Ghana's exchange rate volatility on international trade by designing import and export equations to estimate both short- and long-run specifications of the effect and employing the multivariate generalized autoregressive conditional heteroskedasticity (GARCH) with Baba, Engle, Kraft and Kroner (BEKK) specification developed by Engle and Kroner (1995) as a further check for the robustness of the findings. Monthly data between 1993 and 2017 on the real effective exchange rates of Ghana's trade with 143 trading partners were taken as the series for modeling the volatility using GARCH andexponential generalized autoregressive conditional heteroskedastic (EGARCH) models.

The empirical results show that the volatility of exchange rate negatively impact export performances in the Ghanian economy. On the other hand, there was no sufficient evidence to support the observed positive effect of exchange rate volatility on imports, as the effects were only significant at 10% level in the long run. Thus, it is concluded that the finding cannot confirm a relationship between volatility and import. Thus, the results present differences in the direction of the effect of exchange rate volatility on imports and exports in the context of the Ghanaian economy.

Considering the fragility of the Ghanaian economy and Ghana's macro-economic indicators, the study points at the crucial need for more integration of well-informed trade policies within the country's macro-economic policy framework to contain the impacts of exchange rate volatility on trade performances.

The study contributes to literature by scope and method. More specifically, empirical studies have failed or provided little evidence uniquely on the Ghanaian economy's reaction to exchange rate volatility on the country's imports and exports. Additionally, most of the existing empirical studies measure exchange rate volatility using the standard deviation of the moving averages of the logarithmic transformation of exchange rates. This method is criticized because the method is unsuccessful in capturing the effects of potential booms and bursts of the exchange rate. The authors' study circumvents for these highlighted pitfalls.

The study contributes to literature by scope and method. More specifically, empirical studies have failed or provided little evidence uniquely on the Ghanaian economy's reaction to exchange rate volatility on the country's imports and exports. Thus, the study chat a course for socio-economic dynamic of Ghanaian economy.

The study contributes to literature by its scope and method, as extant empirical studies have provided little evidence specifically on the Ghanaian economy's reaction to exchange rate volatility. Additionally, most of the existing empirical studies measure exchange rate volatility using the standard deviation of the moving averages of the logarithmic transformation of exchange rates. This method is criticized because of the method's inadequacies in capturing the effects of potential booms and bursts of the exchange rate. The study thereby essentially circumvents for these highlighted pitfalls.

The COVID-19 pandemic exacerbated food insecurity and insufficiency in the United States. However, the causes of food insufficiency among people with disabilities during the pandemic are not well understood. This paper examined how loneliness and household structure are associated with food insufficiency among working-age adults (ages 18–64) with disabilities during the COVID-19 pandemic. Using 2021 National Survey on Health and Disability data, we conducted logistic regression to estimate the association between loneliness, household composition, and food insufficiency. Measures of household structure, such as the number of children in the household and living with other adults, were not associated with food insufficiency during the COVID-19 pandemic. Secondary analyses found that loneliness had a strong association with food insufficiency for those who live alone. Respondents who lived alone and reported feeling lonely had the highest odds of being food insufficient during the pandemic. Our findings indicate that in addition to household structure, it is important to assess psychosocial well-being, such as measures of loneliness, when examining food insufficiency among working-age adults with disabilities.

The purpose of this study is to analyze the price discovery and market efficiency of energy futures traded in India. The study also examines the volatility spillover effect between the cash and futures markets of energy commodities.

The study uses crude oil and natural gas spot and futures series traded at Multi Commodity Exchange (MCX), India. To evaluate the objectives, the paper employs the cointegration test, causality check, dynamic ordinary least squares (DOLS) method and Baba, Engle, Kraft and Kroner (BEKK) GARCH Model.

The study supports the long-run association between the selected markets. Unlike natural gas, in the case of crude oil bidirectional, flow of information is observed. The study rejects the unbiasedness and efficient market hypothesis of the energy futures market in India. Further, the study confirms that the selected energy commodities indicate bidirectional shock transmission between their respective cash and futures markets.

The study will assist the commodity market participants in designing their trading strategy. The volatility signal will be used by investors and portfolio managers for risk management and portfolio adjustment. Regulators will be able to anticipate future spillover and can design policies to strengthen the market.

The paper evaluates the three aspects of the energy futures market, namely price discovery, market efficiency and volatility slipover. To the best of the authors’ knowledge, studies on efficacy and shock transmission in the context of the energy futures market in India are rare. Further, the study also contributes by investigating the price discovery process of the energy futures market.

This paper aims to investigate feedback trading and autocorrelation behavior in the cryptocurrency market.

It uses the GJR-GARCH model to investigate feedback trading in the cryptocurrency market.

The findings show a negative relationship between trading volume and autocorrelation in the cryptocurrency market. The GJR-GARCH model shows that only the USD Coin and Binance USD show an asymmetric effect or leverage effect. Interestingly, other cryptocurrencies such as Ethereum, Binance Coin, Ripple, Solana, Cardano and Bitcoin Cash show the opposite behavior of the leverage effect. The findings of the GJR-GARCH model also show positive feedback trading for USD Coin, Binance USD, Ripple, Solana and Bitcoin Cash and negative feedback trading for Ethereum and Cardano only.

This paper contributes to the literature by extending Sentana and Wadhwani (1992) to explore the presence of feedback trading in the cryptocurrency market using a sample of the most active cryptocurrencies other than Bitcoin, namely, Ethereum, USD coin, Binance Coin, Binance USD, Ripple, Cardano, Solana and Bitcoin Cash.