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This paper examines household and community characteristics that influence the entry of rural households into non-farm entrepreneurship and investigates the various factors that influence the market exit of non-farm enterprises (NFEs).

The authors use data from three rounds (2011/12, 2013/14 and 2015/16) of the World Bank’s Living Standards Measurement Study – Integrated Surveys on Agriculture (LSMS-ISA). The authors employ panel logit and multilevel logit models to examine the probability of opening one or more enterprises and the enterprise exit rates.

Results indicate that the likelihood of starting a NFE is positively associated with primary education attainment, access to credit, experiencing idiosyncratic shocks and availability of formal financial institutions. Age, higher education attainment and rising farm input prices constrain entry into non-farm entrepreneurship. The enterprise exit rate is negatively associated with small-town residence, wealth, access to tar/gravel roads and cellphone communication.

Policymakers and administrators should strive to address the challenges that communities face in transportation, communication and financial services. Policies aimed at stabilizing prices and increasing access to mobile communication, primary education and road infrastructure could help expand the rural non-farm sector.

Previous studies primarily examined the determinants of participation in NFEs at a given time using cross-sectional data. The current study uses panel data to study the dynamics of NFE ownership by investigating households’ decisions to enter into or exit from the sector.

The peer review history for this article is available at https://publons.com/publon/10.1108/IJSE-09-2022-0611

This study aims to focus on assessing the status of agribusiness enterprises in Nigeria. The specific goals were to ascertain the level of performance of different categories of agribusiness enterprises, and determine the institutional and firm-level characteristics that influence agribusiness performance.

The study is based on secondary data. These data were sourced from the World Bank business enterprise survey. The World Bank Enterprise survey employed a purposive sampling technique to select major staple agribusiness categories in Nigeria. The categories selected were those included in the World Bank's categorization of agribusiness enterprises. These categories include tobacco, food, textiles, leather, garments, paper industries and wood. The individual firms included in the survey were randomly selected from the selected agribusiness categories. In total, 721 agribusiness firms were selected. Data were analyzed with multiple linear regression at a 5% probability level.

The result of the analysis showed that small-scale agribusiness enterprises have the best performance based on an average of the five performance indicators considered in this study. The determinants of agribusiness performance showed that the credit constraint, size of enterprise, bureaucracy and corruption negatively and significantly affected the performance of agribusiness enterprises in the country, while the gender and educational status of the top manager were positively significant.

The findings imply that small agribusinesses are instrumental in the development of the agribusiness sector and by extension the economy of the nation.

This study enhances the understanding of how best to deliver improved system-level performance policy and wealth creation, especially within the agribusiness subsector.

The purpose of this study is to examine the financial challenges faced by agricultural enterprises in the Republic of Kosovo. It aims to compare the various forms of financing used in Kosovo with those in European Union (EU) countries. The study seeks to highlight opportunities and challenges with a focus on how they can learn from the experiences of EU countries.

The study is based on responses from agricultural enterprises in both the EU and Kosovo. Data was gathered through a survey conducted with 50 agricultural enterprises in Kosovo, whereas for EU context, information from the 2020 Survey on the Financial Needs and Access to Finance of EU Agricultural Enterprises (provided by EAFRD). Statistical data were processed using the Stata and SPSS programs.

In agriculture sector, loan is the primary form of financing to expand their activities and capacities, whereas financing for agricultural enterprises exhibits a negative relationship with the bureaucratic procedures associated with financing.

The main research’s limitations include the unavailability of official data from the relevant institutions in Kosovo.

A possible implication arising from this research is the reliance of the development of agriculture enterprises on debt.

Due to the lack of comprehensive data in this regard, is unable to analyze the specific impact of gender in financing patterns of these enterprises.

This study provides real data on the current situation of agricultural enterprises in Kosovo. Considering Kosovo’s goal to integrate with the EU, this comparative approach adds significant value to the study.

The purpose of this study was to ascertain organizational factors that impacted the performance of social enterprises.

For this research study, a structured close-ended survey questionnaire was prepared based upon literature inputs. The data was collected from 370 executives in social enterprises in India. The data was analysed through structural equation modelling.  The data was analysed towards hypothesis development as well as model development explicating the success of social enterprises.

This research study’s findings developed a model towards explicating firm level performance in social enterprises. The antecedent factors were organizational commitment (OC), organizational orientation (OO), employee empowerment (EE) and top management support (TMS). The factor business innovation capability (BIC) was the mediating variable, whereas the firm performance (FP) of social enterprises was the dependent variable. Business innovation creativity had full mediation effect.

In this research study, the variable influencing the performance of social enterprises were ascertained. TMS and EE were independent organizational variables in any social enterprise along with the two organizational factors of OC as well as OO that did matter for enhancement of BIC of social enterprises. BIC had full mediating effect based upon the mentioned factors of OC, organization orientation, EE and TMS, which subsequently manifested in superior social enterprises FP.

Social enterprises had to balance the twin objectives of social good (doing good for society) as well as earning economic benefits for the enterprise.  Given this challenge, social enterprises had to develop an organizational context in which employees were empowered towards undertaking social issues proactively. Furthermore, top management team must provide support for such causes. When this aspect coupled with the presence of OC and OO then in the social enterprise, BIC got developed.  With the presence of BICs, it became easier for social enterprises to undertake innovation that were also socially oriented and led to superior FP.

It has often been observed in developing countries like India that social innovation and entrepreneurial ventures associated with these have become a necessity. However, such ventures often do not to scale up. Hence, its case for business continuance and sustenance have been challenging. This study provided insights regarding the existential aspect of social enterprises in terms of its performance.

This study was one of the first research studies that integrated the factors of OC, OO, EE and TMS in building organizational capability towards innovation in social enterprises. This in turn contributed towards the improvement of FP of social enterprises.

This study aims to conceptualize the dimensions of resilient leadership and develop the resilient leadership scale (RLS) through three studies.

In Study 1, based on interviews with 77 leaders and 8 junior employees, a seven-factor resilient leadership model was constructed. In Study 2, exploratory factor analysis (n = 237) was conducted to refine the initial items. In Study 3, confirmatory factor analysis (n = 610) was performed to validate the dimensional structure identified in Study 2, and different types of validity of the RLS were assessed.

The validated RLS composed of seven dimensions: contingency planning, improvisation, adaptive instructing, contingency control, emergency care, adjustment recovery and mutual growth. The scale showed desirable measurement qualities in terms of reliability and validity. Resilient leadership and its dimensions significantly impact employee turnover intentions and employee resilience.

This research contributes to the literature on the resilience of hospitality and tourism enterprises and enriches the research scope and theoretical framework of resilient leadership.

This research revealed the resilient leadership responses to crisis in hospitality and tourism enterprises with practical implications for tourism enterprise leaders to deal with major crisis.

This study aims to empirically study the effect of process constraints and the combinative effects of different constraints on enterprise digital transformation.

This paper selects the World Bank's business environment survey of Chinese enterprises in 2012 as the research sample to empirically study the effect of process constraints and different kinds of constraints on enterprise digital transformation.

The authors find that process constraints have an inverted U-shaped effect on enterprise digital transformation and that employee digital literacy plays an intermediary role in this process. That is, process constraints have a too-much-of-a-good-thing effect on employees' digital literacy, which further affects enterprise digital transformation. The increase in the number of input and output constraints will make the inverted U-shaped relationship between the process constraint and digital transformation steeper.

The constraints faced by enterprises are everywhere and of many kinds. This paper not only discusses the influence of process constraints on enterprise digital transformation but also analyzes the interactive influence of different kinds of constraints on enterprise digital transformation and explores its micromechanism. This approach is helpful for enterprise managers in thinking about how to make full use of different kinds of constraints to activate the power of enterprise digital transformation, regard constraints as challenges and opportunities, and use them to stimulate the ability to improve the resource integration and utilization.

Do corporate social responsibility (CSR) practices necessarily increase their social capital? The key to answering this question lies in understanding the impact of the interactive behavior of CSR and social capital on the sustainable operation and development of enterprises. This paper finds that existing studies cannot accurately describe the inherent interaction between CSR and social capital, and the results verified by econometric models are often abstract and do not adequately reflect the actual business situation of enterprises.

This article tries to make a breakthrough in two aspects: the article identifies the common practice object of CSR and social capital by using the “stakeholder” mechanism and puts forward the hypothesis of the relationship between CSR and social capital by observing the interaction behavior between enterprises and stakeholders; based on the perspective of sustainable development, the article proposes the elements of “trust, norm and rationality,” analyzes the behavioral choices of enterprises in social responsibility practice and social capital accumulation and clarifies the inherent relationship between them.

The article points out the impact of the multifaceted nature of the relationship between CSR practices and social capital enrichment on the sustainable development of enterprises and proposes that manufacturing enterprises in transformation and innovation should be analyzed using an objective position rather than value judgment.

This paper synthesizes the assessment data from the questionnaire, interview data and sustainability analysis to answer the questioning of existing research: CSR does not necessarily increase corporate social capital, and the relationship between the two is complex and multifaceted, depending on the specific target and business state of the company. The focus of this paper is to analyze in detail the three relationship assumptions that form when companies interact with their stakeholders, based on the sustainability perspective of “trust,” “norms” and “rationality.”

This paper aims to focus on analyzing the level of corruption of small- and medium-sized enterprises and their economic performance impact in Western Balkan countries. This study uses survey data from Enterprise Surveys (ES) from 2019, a shared project of the European Bank for Reconstruction and Development, the European Investment Bank and the World Bank Group. The selected countries are Albania, Bosnia and Herzegovina, North Macedonia, Kosovo, Montenegro and Serbia. The questions included in the data set contribute to understanding what firms experience in the private sector. Collected data are based on firms’ experiences and enterprises’ perceptions of the environment in which they operate.

This paper measures enterprise performance in terms of sales, employees and fixed assets growth. The vector of independent variables comprises enterprise characteristics such as enterprise age, size, ownership structure, legal status, access to formal banking services, gender ownership and other composed variables. Moreover, to capture the level of perceived corruption by firms, we will focus on the following ES questions: “Is it common to have to pay some irregular additional payment or gifts to get things done with regard to customs, taxes, licenses, regulations, services,” and the “corruption payment” is defined in the form of a dummy equal to one if the enterprise replies “frequently,” “usually” or “always.”

Preliminary empirical research results shed light on the level and effects of corruption on enterprises’ performance. However, the magnitude and statistical significance are different among the countries included in the sample.

Instead of firm-level characteristics, research on corruption frequently focuses on effects dependent on national and institutional characteristics. To better identify the kinds of businesses that are most at risk of corruption, we have selected to focus on differences among firm characteristics in this research. Understanding factors at the firm level is preferred from a policy perspective because these findings assist policymakers to make recommendations.

This study explored the mediating effect of political embeddedness on the relationship between gender and performance of private enterprises in the emerging economy of China. Political embeddedness is examined in terms of personal characteristics of owners and their firm.

Secondary data were collected from the Chinese Private Enterprises Survey for the years 2002, 2006, 2014 and 2016 using responses to identical questions. Tobit models were implemented to examine hypotheses related to the gender gap. A bootstrapping approach was applied to examine hypotheses related to mediation through political embeddedness.

The gender effect on enterprise performance was found to be partially mediated by political embeddedness at the personal level and even more strongly by political embeddedness at the firm level, which is beyond the well-known mediation effect of bank loans.

The Chinese sample, in which guanxi plays a significant role with respect to women-led firms, may limit the generalizability of the findings to other emerging economies.

Given the mediating effects on firm performance of political embeddedness at the personal and firm levels, women business owners in China should pursue political involvement, possibly with the support of policymakers and mentors.

The relationship between businesswomen and political embeddedness is underexplored. This study innovates by applying the gender lens to the notion of political embeddedness and extending the construct of personal political embeddedness to the firm level.

In order to analyze the level of independent controllability and its evolution of high-end equipment manufacturing industry from Jiangsu Province, this article introduces the dual-excitation control line method to construct a comprehensive evaluation model for independent controllability.

Through the collection of information of high-end equipment manufacturing industry's independent and controllable capabilities on different indicators, the three aspects of advancement, autonomy and controllability, an empirical evaluation of 10 enterprises in the high-end equipment cluster in Jiangsu Province was conducted in terms of advancement, autonomy and controllability.

It effectively reveals the area and evolution characteristics of the “reward” and “punishment” of different indicators of each representative enterprise and reflects the development status and different characteristics of each representative enterprise on the three indicators. The research results provide decision-making guidance for enterprises in the management and control of advanced manufacturing systems with independent and controllable capabilities.

Existing research focuses on the evaluation of enterprises' independent controllability only on a single angle or index. This paper maps the dynamic evaluation problem of multiple time-point data to the evaluation problem of single time-point multi-index data and investigates the fluctuation of the performance of the same enterprise under different indexes, so as to comprehensively evaluate the independent controllable level of high-end equipment manufacturing industry and analyze the reasons. Further, this paper first establishes an evaluation index system of independent controllable level of high-end equipment manufacturing industry and quantitatively measures the advanced, independent, controllable and other aspects of typical enterprises in this industry by constructing a double incentive control line evaluation model.