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The purpose of this paper is to explore the perceptions, experiences and behaviors of women entrepreneurs and industry professionals in raising finance for women-led businesses and associated problems faced by the women entrepreneurs.

This qualitative research adopts a narrative inquiry strategy. In-depth interviews are used to collect data from women entrepreneurs and women industry professionals in Pakistan. NVivo qualitative data analysis software is used to organize, analyze and find insights in the qualitative data.

This research finds that women entrepreneurs struggle to secure financing for their businesses, and most of them have not been successful in obtaining loans from banks. Women entrepreneurs have relied on various sources of funding, including microfinance banks, grants, personal finance and family members. Some of the barriers to finance attainment for women entrepreneurs include sociocultural inhibitions, lack of awareness and limited information dissemination by financial institutions. Women professionals suggest that entrepreneurs should maintain a bank account, have proper documentation and show dedication to their business to improve their chances of obtaining financing.

This research provides theoretical contributions and methodological advancements in the study of financial inclusion for women-owned businesses in Pakistan. This research raises awareness about the difficulties women entrepreneurs face when trying to obtain credit from banks and other financial institutions and provides policy recommendations to inform the government about financial inclusion policies and financing policies for women entrepreneurs. Overall, this research contributes to the literature on financial access and access to finance for women-owned businesses in developing countries.

Based on the vulnerable group theory and theory of discouraged borrower, this paper has two important theoretical and practical implications. First, the findings of this study reveal that the financial services are indifferent to women, and there is a denial of women being vulnerable in the financial system, hence requiring a major policy shift to not portray women as vulnerable, as they will rationally feel risky and prefer to opt out of the financial system. Second, the findings suggest that the issue of access to finance for women is not in the financial services but in the women's capabilities and awareness. Therefore, a policy shift is suggested from “financial services for women” to “capability and awareness of women” to avail and access the current services.

Thermal energy storage systems use thermal energy to elevate the temperature of a storage substance, enabling the release of energy during a discharge cycle. The storage or retrieval of energy occurs through the heating or cooling of either a liquid or a solid, without undergoing a phase change, within a sensible heat storage system. In a sensible packed bed thermal energy storage system, the structure comprises porous media that form the packed solid material, while fluid occupies the voids. Thus, a cavity, partially filled with a fluid layer and partially with a saturated porous layer, has become important in the investigation of natural convection heat transfer, carrying significant relevance within thermal energy storage systems. Motivated by these insights, the current investigation delves into the convection heat transfer driven by buoyancy and entropy generation within a partially porous cavity that is differentially heated, vertically layered and filled with a hybrid nanofluid.

The investigation encompasses two distinct scenarios. In the first instance, the porous layer is positioned next to the heated wall, while the opposite region consists of a fluid layer. In the second case, the layers switch places, with the fluid layer adjacent to the heated wall. The system of equations for fluid and porous media, along with appropriate initial and boundary conditions, is addressed using the finite difference method. The Tiwari–Das model is used in this investigation, and the viscosity and thermal conductivity are determined using correlations specific to spherical nanoparticles.

Comprehensive numerical simulations have been performed, considering controlling factors such as the Darcy number, nanoparticle volume fraction, Rayleigh number, bottom slit position and Hartmann number. The visual representation of the numerical findings includes streamlines, isotherms and entropy lines, as well as plots illustrating average entropy generation and the average Nusselt number. These representations aim to provide insight into the influence of these parameters across a spectrum of scenarios.

The computational outcomes indicate that with an increase in the Darcy number, the addition of 2.5% magnetite nanoparticles to the GO nanofluid results in an enhanced heat transfer rate, showing increases of 0.567% in Case 1 and 3.894% in Case 2. Compared with Case 2, Case 1 exhibits a 59.90% enhancement in heat transfer within the enclosure. Positioning the porous layer next to the partially cooled wall significantly boosts the average total entropy production, showing a substantial increase of 11.36% at an elevated Rayleigh number value. Positioning the hot slit near the bottom wall leads to a reduction in total entropy generation by 33.20% compared to its placement at the center and by 33.32% in comparison to its proximity to the top wall.

The study attempts to investigate the role of social media in spreading awareness regarding ayurvedic immunity boosters (AIB) and changes in diet. Further, the study examines the factors affecting the willingness to pay for ayurvedic immunity boosters (WPIB) during the pandemic and new normal situation with the moderating effect of the “fear of COVID-19 infection.”

The data were collected from millennials in two phases, i.e. the first phase (1 July–August 2021) with 300 respondents and a second phase with (June–August 2022) 257 respondents. An online questionnaire was shared with millennials using the snowball sampling technique. Descriptive statistics with SPSS and SmartPLS 4.0 software were applied to analyze the data.

The results found a variation in AIB content sharing on social media during 2021 and 2022. Results found that respondents reported significant changes in their lifestyle and diet, like consuming honey, khada, tulsi tea, etc. In 2021, health consciousness and trust significantly affected WPIB, whereas in 2022, only health consciousness was substantially affected. Fear of COVID-19 infection moderates the relationship between health consciousness, perceived fear and willingness to pay for ayurvedic products, whereas the effect on consumer preference and trust remains insignificant.

Results could help ayurvedic product manufacturing companies understand the consumers' mindset and the factors that stimulate consumers to buy these immunity boosters. Ayurvedic advertisers should design unambiguous messages that focus on health consciousness and have trustable components to encourage consumers to adopt a healthy lifestyle.

This is one of its kinds of studies that presents the contrasts of how the COVID-19 crisis has significantly changed individuals' dietary intake and affected lifestyle patterns.

The coronavirus disease 2019 (COVID-19) pandemic adversely affected small and medium-sized enterprises (SMEs) in India. Amongst the challenges faced were the adjustments required in leadership skills to address pandemic-induced technological changes and the necessity for employee skill upgrading. This study examined the factors that influenced organisational performance in Indian SMEs, particularly in the context of the digital transformations that were brought about by the pandemic.

The study employed a cross-sectional design to investigate a set of hypotheses that were formulated to understand the relationships amongst digital leadership, digital training, empowerment and organisational performance. The data were collected during the pandemic from 487 employees who were working in various SMEs in India. Questionnaires were distributed through email and social media platforms, and electronic consent was obtained from each participant.

The study's findings indicated positive associations amongst digital leadership, digital training, empowerment and organisational performance. They also highlighted the mediating role of empowerment in these relationships. Furthermore, organisational resilience was found to positively moderate the relationship between empowerment and performance.

The study stands amongst the pioneers in exploring the role of digital leadership and digital training during the pandemic and their impact on employee empowerment amongst SMEs in a developing country.

Since the introduction of balanced scorecard by Kaplan and Norton in 1992, it garnered considerable research and practice attention across disciplines. Using bibliometric analysis, this study examines trends in balanced scorecard research in last 20 years and identifies future areas of research.

The Web of Science database was used to extract research papers from the 2003 to 2023 period with “Balanced Scorecard” as topic. The final sample consisted of 445 articles. Trends and patterns were analyzed using bibliometric analysis through research profiling and thematic analysis.

The findings reveal that BSC, spanning across disciplines, including business and operations, has enriched the theory and practice of BSC research. Analytical and survey methods were more prevalent than primary studies. Scholars from the USA and the UK have made noteworthy contributions to balanced scorecard research. Emerging themes include integrating human resources, sustainability, subjectivity in performance evaluation and non-financial performance indicators in BSC for better strategic decision-making.

The study would inspire researchers to generate new research questions and hypotheses and help in identifying gaps in the current knowledge base and areas where further investigation is needed. Managers would gain useful insights into performance management by studying the BSC research evolution to find a fit for modern-day industry needs.

The authors’ contribution fills the void by providing useful account of extent research over last 20 years using bibliometric analysis and motivate future research directions.

Small and medium-sized enterprises (SMEs) are highly concerned about every aspect of their international performance (IP) due to their limited resources. However, the literature has not given equal attention to every necessary aspect and has left some fields unexplored. Moreover, different approaches to assessing SME IP have made the literature even more fragmented. This research aims to identify the gaps in the research context and assessment methods of this concept.

A systematic literature review and a thematic analysis method are employed to review 272 journal papers published in high-quality journals.

By extracting six contexts in which the concept of international performance of SMEs has been analyzed, this study integrates the research themes with geographical domains and highlights which contexts require more attention. Moreover, this study provides a comprehensive review of the current state of this concept’s operationalization methods, illustrating the level of fragmentation and differences in the literature. Following the presentation of an enriched future research agenda, this study guides scholars on the current gaps and needs for research in specific contexts and domains while providing suggestions for a more cohesive assessment of the concept.

This study is the first to systematically review the research concerning the foreign performance of firms with less than 500 employees, extract their research context, illustrate uninvestigated fields and provide helpful suggestions about the concept’s operationalization method based on a comprehensive review of the extant assessment methods.

New business density (NBD) is the ratio of the number of newly registered liability corporations to the working-age population per year. NBD is critical to assessing a country's business environment. The present work endeavors to discover and gauge the contribution of 28 potential socio-economic enablers of NBD for 2006–2021 across developed and developing economies separately and to make a comparative assessment between those two regions.

Using World Bank data, the study first performs exploratory data analysis (EDA). Then, it deploys a deep learning (DL)-based regression framework by utilizing a deep neural network (DNN) to perform predictive modeling of NBD for developed and developing nations. Subsequently, we use two explainable artificial intelligence (XAI) techniques, Shapley values and a partial dependence plot, to unveil the influence patterns of chosen enablers. Finally, the results from the DL method are validated with the explainable boosting machine (EBM) method.

This research analyzes the role of 28 potential socio-economic enablers of NBD in developed and developing countries. This research finds that the NBD in developed countries is predominantly governed by the contribution of manufacturing and service sectors to GDP. In contrast, the propensity for research and development and ease of doing business control the NBD of developing nations. The research findings also indicate four common enablers – business disclosure, ease of doing business, employment in industry and startup procedures for developed and developing countries.

NBD is directly linked to any nation's economic affairs. Therefore, assessing the NBD enablers is of paramount significance for channelizing capital for new business formation. It will guide investment firms and entrepreneurs in discovering the factors that significantly impact the NBD dynamics across different regions of the globe. Entrepreneurs fraught with inevitable market uncertainties while developing a new idea into a successful new business can momentously benefit from the awareness of crucial NBD enablers, which can serve as a basis for business risk assessment.

DL-based regression framework simultaneously caters to successful predictive modeling and model explanation for practical insights about NBD at the global level. It overcomes the limitations in the present literature that assume the NBD is country- and industry-specific, and factors of the NBD cannot be generalized globally. With DL-based regression and XAI methods, we prove our research hypothesis that NBD can be effectively assessed and compared with the help of global macro-level indicators. This research justifies the robustness of the findings by using the socio-economic data from the renowned data repository of the World Bank and by implementing the DL modeling with validation through the EBM method.

Bengali sports history features very few women; some examples include enquiry into the representation of women in cricket stadiums as spectators (Naha, 2021) and the history of physical education in a women’s college (Bhattacharya, 2009). Likewise, young adult sports fiction in Bengali hardly engages with girls, with the notable exception of Moti Nandi’s Kalabati novels. This series of nine novels features the eponymous character as a high school student and a cricketer between 1984 and 2005. Belonging to a zamindar family, it is the possession of cultural capital post-abolishment of the zamindari system which allows Kalabati to play cricket. Situating the novel amidst India’s entry into neoliberalism, this chapter employs close reading to examine the ways adopted by the protagonist to manoeuvre new gender roles in conjunction with traditionally ascribed ones. Kalabati’s participation in a sport and a range of physical activities dominated by men goes against the societal codes prescribed for women. Despite that, masquerade and performativity allow Kalabati to assert her agency. Through alternately impersonating men and performing hyper-femininity, she effortlessly adjusts herself to different bodies, etiquettes and markers of gender identity. The fluidity in gender identities and emphasis on performance opens up the straitjacketed discussions around the former. This chapter argues that Kalabati’s exceptionality as a sportsperson is both an embodied and a genealogical trait.

Talent management is conducted to maximize an organization's overall performance and efficiency which helps to serve as a competitive advantage. Human resource management is a concept which includes human-related activities, but talent management is a strategy which helps to get new talent, develop their skill sets and provide better employee engagement and experience to retain the top potential employees in an organization. Improvement in recruiting and retention of a workforce results from a well-executed talent acquisition approach. In the 21st century, employee retention has become a primary concern for the organizations specially with work from home and hybrid models.

The workforce for tomorrow is going to be very different from what it has been. Technology is transforming the way people work within organizations. The workplace is rapidly evolving in terms of people and processes and is going through a lot of technological changes. The terminologies such as automation, artificial intelligence, augmented reality and block chain technologies are slowly becoming part of the workplace and everyday activities of the organization.

The challenges are many and especially post-pandemic organizations are going through some major changes such as a mindset shift of employees to take up more remote working opportunities, building virtual teams, increase in the gig economy workers (contractual workers) and a diverse workforce which makes it even more challenging for the organization to manage and retain talent.