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This study aims to expand antecedent roles on social entrepreneurial behavioural intention by integrating both the Three Pillars of Institutions and the Mair Noboa model. The literature lacks in investigating both institutional- and individual-level antecedents to determine social entrepreneurial behavioural intention. This proposed integrated model was developed in which the Mair Noboa's model antecedents mediates the positive relationship between the antecedents of Three Pillars of Institutions and social entrepreneurial intention.

This study uses quantitative research methodologies to answer the research question of the extent that institutional-level antecedents in turn influence individual antecedents and thus determine social entrepreneurial intention. To explore this, a Web-based survey distributed across Bangladesh (n = 412). The confirmation of hypotheses involved using covariance-based structural equation modelling (SEM) for data analysis. The resulting measurement and structural models successfully met all criteria for reliability, model fit, convergent validity and discriminant validity. The hypotheses were subsequently assessed by examining both direct relationships and mediating effects.

The findings demonstrated a significant relationship between the antecedents of the Three Pillars of Institutions and the Mair Noboa model. The results suggest that the Mair Noboa model antecedents can mediate the relationship between the Three Pillars of Institutions and social entrepreneurial intention.

This paper advances the existing knowledge of social entrepreneurial intention, through the novel lens of combined institutional and individual antecedents. This paper fills an important knowledge gap by exploring both institutional- and individual-level antecedents to determine social entrepreneurial intention. This study findings yield fresh theoretical and practical insights into how institutional and individual antecedents jointly influence social entrepreneurial intention.

This study explores working mothers’ perceptions of fairness in work and home environments through real-world social media discussions. It examines how these perceptions shifted due to the COVID-19 pandemic.

Using a naturalistic approach, we analyzed 13,560 comments from 4,076 unique users on Reddit to convert qualitative data into quantitative variables. A nonparametric factorial ANOVA was employed to assess the relationship between fairness perceptions and the impact of the COVID-19 pandemic on these perceptions in both work and home settings.

The analysis revealed that working mothers predominantly express negative perceptions of fairness in both environments. Contrary to initial expectations, the pandemic did not exacerbate these perceptions. However, conversations involving both work and home contexts showed a more positive tone, suggesting the benefits of remote work scenarios introduced by the pandemic.

This study uniquely applies sentiment analysis to naturalistic social media data, offering real-time insights into how working mothers discuss fairness. Unlike traditional survey methods, this approach captures daily lived experiences, particularly in a crisis context, revealing new aspects of the work–family conflict.

One critical aspect of strong leadership communication is developing emotional (EQ) and spiritual intelligences (SQ). EQ helps individuals be more empathetic and effective, while SQ promotes an understanding of impacts beyond oneself. This paper aims to explore the relationship between leadership communication and EQ and SQ. Corporations can leverage leaders with high EQ and SQ and/or provide EQ/SQ training to employees.

Using critical review and integration, the authors consolidate existing literature and best practices to explore, develop and propose strategies for integrating EQ and SQ into the workplace.

Building upon existing theory and literature, the authors present a model of understanding both EQ and SQ. A generalized four-step process is presented for building EQ/SQ capabilities within the firm.

This study explores the synergy between an employee’s leadership skills and the ability to exhibit EQ and SQ. This research can provide corporations with tangible and targeted ways to enhance their EQ and SQ in their leaders. Firms can improve leveraging individuals with high SQ, in addition to providing SQ training to employees to improve individuals’ SQ.

New product development (NPD) is necessary for business sustenance and customer satisfaction. Six Sigma and Design for Lean Six Sigma (DLSS) efficiently employ the repetitive stages for NPD, leading to quality performance and profitability. This study aims to map the quality performance through NPD attributes through the Lean methodology.

The data on NPD were collected from 267 respondents from manufacturing companies to map the relationship between Six Sigma and DLSS for NPD. Confirmatory factor analysis was employed to confirm model fit, while structural equation modeling was employed to analyze the empirical data for framework testing. The study included nine variables and fourteen hypotheses identified from the literature.

The statistical results of this study show that NPD attributes such as innovation, marketing, organization, customer, product and technology positively influence the Lean Six Sigma structured improvement process (LSSSIP) and DLSS. Moreover, integrating these attributes in Lean planning enhance quality performance. This empirical investigation's findings indicate that ten of the 14 hypotheses were supported, giving the study a strong foundation.

The data collection was limited to northern India; therefore, the results may not be generalizable to other areas of the world.

NPD involves handling technical issues and factors such as cost, operational bottlenecks, economic changes, competitors' strategy and company policy. This study helps understand the various NPD parameters and their relationship to Lean, which enables an effective NPD implementation strategy.

The current philosophy of NPD calls for a concurrent engineering approach; therefore, the entire organization must be part of this process. This study uses the holistic framework by optimizing NPD with Lean Six Sigma (LSS) principles. The study is unique in that, to date, research does not integrate NPD attributes with the objectives of LSS to develop an efficient NPD implementation strategy.

This paper aims to validate and adapt the Arabic version of Holden Communication Scale (HCS) for assessing communication skills among old people with dementia in care home.

A study involving 210 elderly residents from Jordanian care homes was conducted, where they completed the Arabic version of the HCS. Internal consistency and factor analysis techniques were precisely used to assess the scale's reliability. Additionally, cognitive function evaluation used the Arabic iteration of the Saint Louis University Mental Status (SLUMS) questionnaire, while communication skills were comprehensively appraised using the HCS.

The Arabic HCS has strong content validity, with a one-component structure accounting for 60% of the variation and a three-factor structure accounting for 77.2% of the variance. The original three-subgroup structure of the scale was recreated, and internal consistency varied from 0.85 to 0.87, indicating good reliability.

This study aimed to assess the reliability and validity of the Arabic version of the HCS among old people with dementia residing in care homes. The authors conducted examination of its psychometric properties within this unique population.

The purpose of this study is to empirically investigates the influence of geopolitical risk acts (GPR) on world crude oil production. GPRs are a proxy for waging wars and military actions, thus it is expected to have a clear impact on world crude oil production (WCOP).

The current study formulates a theoretical model, and its parameters are estimated using three methodologies – traditional autoregressive distributed lag (ARDL) model, Dynamic ARDL model, and Frequency domain causality test – across the period 1973–2023 to ensure robust findings.

The results illustrate that GPRs constrain the global crude oil supply. The final impact relies on the positive interaction term between GPRs and international economic activity from one side and the negative interaction term with crude oil prices from the other. Likewise, the findings show that geopolitical threats reduce producing crude oil. Furthermore, this research deliberates on policy implications stemming from these findings.

Examining existing literature reveals a gap in understanding the relationship between geopolitical risk and crude oil production. Most of the studies in this research strand focus on investigating the impact on oil price volatility.

The purpose of the article is to examine the effect of life cycle stages on capital expenditures, using Borsa Istanbul-listed companies.

The panel data estimation procedure was used as the primary method to test the hypothesis. The authors used four additional analyses to check the robustness of the results. The model was tested for endogeneity using the generalized method of moments (GMM) estimation. Quantile regression was utilized for the non-parametric test of the model. In the third robustness test, the sample was divided into two using financial constraints with the Size-Age (SA) Index proposed by Hadlock and Pierce (2010). The last analysis removed the global financial crisis (GFC) years from the sample.

Borsa Istanbul-listed companies tend to invest less as they move forward in their life cycle stages. The results show that market capitalization, operating cash flow levels and leverage positively affect capital expenditure investments. The empirical evidence also revealed that cash holding levels have a negative effect on capital expenditure decisions. Robustness tests support the results.

The findings are potentially useful for investors and managers. Having the information that decreasing capital expenditures signals that the company is in the last stages of its life would be a sign for managers to improve their investment strategies to avoid getting out of business and survive. They need to find options and solutions to propel their companies back on a path of growth. Additionally, the same information could be vital for investors' investment decisions.

This paper contributes to the literature by providing evidence about the effect of life cycle stages on capital expenditures from an emerging market. To the best of the authors’ knowledge, it is the first paper to investigate empirically how moving forward in the life cycle stages affects capital expenditures in an emerging market.

This study aims to validate and adapt the Health-Related Quality of Life (HRQoL) scale for use among elderly patients in Arabic-speaking care homes.

A total of 210 participants completed the Arabic-translated HRQoL scale to assess its reliability, validity and cultural adaptation. Internal consistency, test–retest reliability, exploratory factor analysis and content validity were examined.

Results demonstrated high internal consistency (Cronbach’s alpha = 0.85–0.90), robust test–retest reliability (intraclass correlation coefficient = 0.91) and strong construct validity

This study provides a culturally adapted and psychometrically validated HRQoL scale tailored for Arabic-speaking elderly care home residents. It addresses a significant gap in the availability of reliable tools to assess HRQoL in this population. By ensuring linguistic and cultural relevance, this study offers a robust instrument for evaluating quality of life, guiding interventions and improving care practices. The findings contribute to advancing evidence-based geriatric care in Arabic-speaking contexts, with implications for broader application in similar cultural settings. This work supports efforts to enhance the well-being and dignity of elderly individuals in care homes.

In developing countries, banks play a major role by acting as a conduit for the effective mobilization of funds from the surplus sectors of an economy for onward lending to the deficit sectors for productive investments that will in turn increase the level of employment and economic growth. There has being a rising trend in unemployment rate in Nigeria and South Africa and hence, the need for the study to assess the effectiveness of banking system credit in curbing unemployment rate by making a comparative analysis of Nigeria and South Africa covering the period of 1991–2018.

The study employed the unit root test, Johansen cointegration test, vector error correction model and VAR impulse response function in determining the relationship between the variables.

The major findings revealed that banking system credit matters in curbing unemployment rate in South Africa than in Nigeria. Also, other macroeconomic factors such as lending rate, inflation rate, Government expenditure and population growth were significant enough in influencing unemployment rate in South Africa than in Nigeria. Foreign direct investment was a significant factor in reducing unemployment rate in Nigeria than in South Africa. The cointegration test showed a long-term relationship between the variables in both countries while the speed of adjustment coefficient of the vector error correction model is faster in South Africa than in Nigeria.

Previous empirical studies on the relationship between banking system credit and unemployment rate have focused much on other regions such as Asia and Europe. Thus, the study is unique as it focused on the African region and also made a comparative analysis by testing the Keynesian theory of employment, interest and money on two emerging African economies which are Nigeria and South Africa.