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The purpose of the study is to examine the obstacle in doing business and determinants of credit adoption by the textile enterprises in India.

The study is based on World Bank’s Enterprises Survey, there are 571 enterprises involved in textile business. The enterprises survey has response on wide range of business obstacles which are categorized under three broad categories, namely, access to resource, business regulations and market externalities. Chi-square test and analysis of variance (ANOVA) have been used to examine the significant difference among firm’s profile and perceived business obstacles across the firm size. Furthermore, binary logistic regression model has been applied to explore the determinants of credit adoption by textile enterprises.

A statistically significant difference has been found in size of firms and legal status nature of establishment, gender of top manager, main product market and credit adoption from financial institutions. Majority of small- and medium-sized enterprises (SMEs) are sole proprietorship firm while large enterprises are limited partnership firms. Similarly, large enterprises have relatively more female as a top manager and international market for their product. ANOVA reveals equal degree of obstacles in doing textile business across the firm size. The logistic regression coefficient and marginal effects reveal that firm size, main market,gender of owner, number of establishment in the firms positive and significantly affects the credit adoption by 3 textile enterprises.

The study has some policy implications for various stakeholders such as textile business managers and promoters, government, investors and bankers for entrepreneurship development in textile sector. The study suggests that the government should incentivize small- and medium-sized businesses to increase their exports. The results show that despite government efforts to finance SMEs, fewer SMEs are receiving both short- and long-term credit. To help SMEs in the textile industry overcome financial difficulties and expand their main product market to both domestic and international levels, a soft loan should be provided based on the characteristics of textile enterprises.

The present study suggests the evidence-based understanding of textile business environment. The value and uniqueness of this study is to explore an ease of business textile sector using comprehensive enterprises survey data of World Bank.

This study employs firm-level data to evaluate how the knowledge economy impacts the financing constraints of businesses across 106 low- and middle-income nations, focusing on the influence of technological transformation on corporate financing choices.

The research centers on privately held, unlisted firms and examines the distinct effects of knowledge at both the within-country and between-country levels using a panel dataset. Rigorous sensitivity and endogeneity analyses are conducted to ensure the reliability of the findings.

The findings indicate that greater levels of the knowledge economy correlate with reduced financing constraints for firms. However, this effect varies depending on the location within a country and across different geographical regions. Firms situated in larger urban centers and more innovative regions reap the most significant benefits from the knowledge economy when seeking external funding. Conversely, firms in smaller cities, rural areas and regions characterized by structural and institutional inefficiencies in knowledge generation experience fewer advantages.

The impact of knowledge exhibits variability not only within and among countries but also between poor and affluent developing nations, as well as between larger and smaller countries. The knowledge effect on firms' access to external finance is influenced by factors such as financial openness and development, educational quality, technological absorption capabilities and agglomeration conditions within each country.

The combination of action and process has remained the attention of the psychology of entrepreneurship research. Moreover, special attention has also been paid to the whens and hows of entrepreneurial psychological training. Keeping this in view the current study has tested the impact of individual entrepreneurial orientation (IEO) training on small business entrepreneurial career resilience. Using action regulation theory (ART), a serial mediation model of IEO behaviour and entrepreneurial career adaptability is hypothesised.

This study used a longitudinal randomised controlled field experiment in which the data were collected at four points. A total of 546 small business owners from Lahore, Pakistan, participated in this research (training group = 265, control group = 281). The data were analysed using ANCOVAs and PROCESS Model 6.

The research has found that IEO training impacts the entrepreneurial career resilience of small business owners through the development of IEO behaviour and career adaptability.

This experimental inquiry is a novel attempt to extend the career-related outcomes of IEO training (career resilience) based on ART through the mediating role of IEO behaviour and career adaptability. In addition, it has tested the IEO training in the developing country of Pakistan, which is a relevant context for enhancing its socio-economic growth.

This study investigates how perceived political corruption, a generally overlooked corruption type, relates to firms' new product development (NPD) through perceived regulatory obstacles. It also examines firms' perceptions of business association support in this relationship, considering these associations' potential support for NPD.

This study conducted an empirical analysis of 1,663 firms in Turkey, a country noted for a history of legislative corruption, and in which there are strong business associations. Drawing the data from the World Bank's 2019 Enterprise Surveys Dataset, this study tested the hypotheses via the two-stage factor score regression method.

This study finds that perceived political corruption significantly relates to NPD negatively through perceived regulatory obstacles. It also finds that the perceived support of business associations to NPD is significantly greater when firms perceive regulatory obstacles but only slight political corruption.

As far as political corruption is concerned, this study reveals that corruption can also be the cause of regulatory obstacles, expanding the common view of corruption as a means of overcoming regulatory obstacles to NPD. In addition, it introduces the role of business associations in this relationship by revealing their support to NPD for different levels of perceived political corruption and regulatory obstacles.

This study aims to answer two questions: (a) what obstacles and opportunities do Chinese female entrepreneurs face when doing business? And (b) how do they negotiate their entrepreneurial careers and gender identities in different gender-segregated markets?

This study uses qualitative research methods of participant observation and in-depth interviews with 41 female entrepreneurs in China and the theoretical lenses of gender role theory and doing gender in entrepreneurship.

The study findings reveal that Chinese female entrepreneurs face different obstacles and opportunities in gender-segregated industries. Their experiences vary in industries that are mainly occupied by males and females. On the one hand, women in female-dominated industries may be supported by a feminine working environment that is coherent with their domestic roles. However, they may also be questioned on the cultural impurity implied in some industries, which harms their class-based feminine virtue. On the other hand, women in male-dominated industries may be challenged and marginalized due to their gender. However, some find ways to turn the disadvantaged feminine characters into favourable conditions and break out of the stereotypical gender constraints in doing business.

This study contributes to the literature on gender and entrepreneurship in general. More specifically, it contributes to the study of doing gender in gender-segregated markets, and it also illustrates women’s gendered opportunities and constraints in Chinese society that are affected by the long-lasting traditional gender norms.

This paper aims to investigate whether Kazakh small- and medium-sized enterprises (SMEs) that claim to compete with the informal sector are more likely to invest in innovation than their competitors who do not perceive such pressure.

Logistic regression and classification trees are performed on the Business Environment and Enterprise Performance Survey (2018–2020) to examine whether the degree of informal competition correlates with a firm's propensity to innovate.

The findings show that informal sector competition is a critical factor that shapes the organizational behaviour of Kazakh SMEs. There is a stimulating positive effect of informal competition on both product and process innovation, depending on its perceived intensity.

This study challenges conventional thinking that still views informal sector competition as a barrier to innovation and entrepreneurship by assessing whether innovation is compatible with informal entrepreneurial practice.

This perspective article addresses the essential need to comprehend what artificial intelligence (AI) entails and how it can revolutionize the family business sector.

This article presents a literature review and the authors' perspectives to unravel the potential benefits of AI in family businesses.

It is crucial to understand what AI is and its various types before the authors can discern which AI tools can be beneficial or tailored to family businesses. A promising area for future research is the use of Theory of Mind AI, which can help minimize conflicts of interest among family business members and assist in clear decision-making and succession planning. However, integrating AI brings about ethical implications, such as data privacy concerns, the need for transparency in AI decision-making and the necessity to ensure fair AI practices. These are all critical issues that the future research will need to tackle.

This article emphasizes the potential of AI to be customized and incorporated to tackle the distinct dynamics, obstacles and opportunities prevalent in family-owned businesses. It also proposes future research areas that could enhance the application of AI in such enterprises.

This paper aims at assessing the impact of a number of behavioral interventions on the willingness of informal businesses, in the Egyptian informal sector, to join the formal sector.

This paper uses an experimental methodology to examine the impact of behavioral interventions on the formalization of the Egyptian informal sector. Specifically, it conducts a survey experiment on a total of 240 informal businesses, operating in the Egyptian informal sector. The primary data collected from the survey experiment is then analyzed using a binary logistic regression to assess the impact of the behavioral primes on the probability of joining the formal market.

The empirical findings of the survey experiment indicate that the biggest obstacle facing informal businesses is finding a formal source of finance that could help them in penetrating the market. Providing informal businesses with information on funding opportunities offered by the ministry of micro, small and medium enterprises (MSME) significantly increased the probability of joining the formal sector to benefit from this opportunity.

This paper is the first to apply behavioral primes, in the form of informational cues, to the Egyptian case of informal business owners. Previous research on the use of behavioral nudges and primes has focused mainly on the western economies.

This study focuses on the key success factors (KSFs) for strategy implementation in the fisheries industry in Iceland identified by chief executive officers within the industry. The purpose is to provide a comprehensive categorization of KSFs that influence how strategy is mobilized. The secondary aim is to uncover the level of priority that companies place on the dimensions of the United Nations (UN) Sustainable Development Goals (SDGs).

The methodology involves qualitative case studies based on in-depth elite interviews with nine chief executive officers of Icelandic fishing companies.

The research indicates strategy implementation can be improved in four main areas. First, by engaging and involving all employees in the implementation process. Second, by enhancing bottom-up innovation and communication. Third, through alignment of the corporate strategy and the UN SDGs, and fourth, by following rigorous action plans with clear, measurable and prioritized objectives and timeframes for the managers to follow. These improvements have both theoretical and practical implications for the fishing industry. Consequently, a conceptual framework for integrated strategy implementation in the fisheries industry is proposed.

A limited number of in-depth elite interviews were conducted since access to the chief executive officers of the country’s largest fishing companies proved challenging. However, the nine companies collectively hold nearly 50% of the country’s total quota, thereby proving a deep understanding of the topic relevant to the industry. The research uncovered a substantial cross-section of viewpoints, and as such, the results are relevant for both academia and practitioners alike.

This study contributes to the debate on KSFs relevant to strategy implementation within a specific industry but also aligns with the UN SDGs by proposing a dedicated framework for implementing strategies in the fisheries industry. Overall, this study can help managers achieve strategy implementation.

The very criticism of public policy being rigid and generalized on one hand, and insouciant and noncustomizable on the other has to be addressed to cope up with the comingled economic, social and environmental challenges. Policies that fail the litmus test of changing and challenging conditions will run the risk of not achieving their purpose and obstructing the ability of citizens, communities and businesses. This paper draws the case of Bangladesh to explore the principles of adaptive policies in the surfacing of the recently adopted Digital Commerce Management Guide 2021 under the National Digital Commerce Policy, 2020.

This is a qualitative paper that is based on both primary and secondary data. While secondary data on the policy crafted a strong call for increased adaptiveness, primary data extracted from the interviews presented several lacking and loopholes from respondents’ firsthand experiences. Based on secondary content and primary data from consumers and business owners of the most-used social commerce platform (a form of digital commerce), Facebook commerce, hereto referred to as F-commerce, this paper discusses the possible characteristics of adaptive policy-making for more innovative, contextual, gender-inclusive, efficient and environmentally sustainable policies.

The paper points out some reform and adjustment scope for the recently introduced digital commerce policy to make it more adaptive to the present and upcoming policy context.

It must be mentioned that there is a dearth of research on digital commerce policy and the platform as a whole.

Hence, this paper offers a fresh perspective toward time befitting policy formulation in the digital commerce sector and set in motion the policy attention that this platform requires.