Search results

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.

This research investigated the impacts of COVID-19 on construction enterprises and good practices adopted by the enterprises in reducing COVID-19 risks. The Sendai Framework (TSF) is widely accepted as a strategic roadmap to reduce disaster risks throughout the life cycle of a disaster. As such, with the aim of enhancing the resilience of Australian construction enterprises, the identified good practices were mapped with TSF priorities to consolidate COVID-19 risk reduction practices that can be adopted by Australian construction enterprises.

Case study research approach was used, and three case studies were conducted with small, medium and large construction enterprises. Small, medium and large enterprises were selected based on the Australian Bureau of Statistics classification of the business size. Data were collected through semi-structured interviews conducted with three executive members from the three enterprises. Data were analysed using content analysis.

The study found that construction enterprises faced demand and supply side impacts. Infrastructure projects, funded by public sector clients and larger enterprises were least affected. Investments and demand for residential and other building projects were reduced by private sector clients, affecting small and medium enterprises. Findings also show that the construction enterprises adopted good practices in identifying, managing, investing on resilience and recovery that align with TSF priorities. All three enterprises agreed on some common good practices on risk identification, risk management and effective recovery. Different views were shared on investments related to disaster resilience.

This study contributes to mitigate the COVID-19 impacts on construction enterprises and subsequent economic and social impacts.

This research found how Australian construction enterprises survived during COVID-19. The study adopted TSF to construction and COVID-19 context while consolidating COVID-19 risk reduction practices.

The purpose of this paper is to examine the resistance behavior of smart factories in small and medium-sized enterprises (SMEs). Drawing upon dual factor perspective, this study examines how two types of quality and perceived usefulness impact user resistance as enabling factors and how switching cost, skepticism, habit and inertia contribute to user resistance as inhibiting factors. Additionally, multi-group analysis is employed to compare small and medium enterprises.

Purposive sampling technique was employed to collect 460 Korean SMEs employees, consisting of 235 small enterprises and 225 medium enterprises. Partial least squares structural equation modeling was used for data analysis.

The results reveal that all three inhibiting factors, switching cost, skepticism and habit, are key antecedents of inertia. In small enterprises, skepticism has a greater impact on inertia, which in turn strongly affects resistance. Additionally, system quality is more crucial for small enterprises, whereas information quality holds more importance for medium enterprises in mitigating resistance. Moreover, when the implementation level of a smart factory is high, the effect of perceived usefulness on user resistance diminishes.

This study has revealed the importance of considering both enabling and inhibiting factors for the adoption of smart factory systems in the context of SMEs. Additionally, it has provided evidence that as the level of the smart factory system increases, the effect of perceived usefulness on user resistance decreases, thus making the transition to smart factory systems more challenging.

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.

The prevailing view in the existing literature is that open innovations (OI) increase the innovative performance of enterprises. The author examines whether the same OI practices are equally important for sole entrepreneurs, micro firms, small firms, medium-sized and large enterprises in introducing radical innovations and which set of OI practices is best for a firm, given the firm's size.

In this study probit models were used on a sample of 915 innovative Serbian enterprises.

OI is important for all enterprises introducing radical innovations. However, not all OI practices are equally effective in each enterprise size group. The set of OI practices leading to radical innovations depends on the firm size. Cooperation with others is not important for sole entrepreneurs and micro and large companies in introducing radical innovations. Still, cooperation's role is predominant in small and medium-sized enterprises. Also, certain OI practices are important for all enterprises, whilst others do not contribute to radical innovations, regardless of the firm size.

Owners/managers can save considerably by avoiding the allocation of resources to OI practices that result in little to no contribution to radical product commercialisation. At the macroeconomic level, these findings can help policymakers create adequate (tailor-made) public policies to achieve innovation in each specific group of firms.

This study demonstrates that not all OI practices are equally important for achieving radical production solutions in each group of enterprises.

The objectives of this study are twofold. Firstly, this study aims to examine the challenges of green public procurement (GPP) involvement among small- and medium-sized enterprises (SMEs) government suppliers. Secondly, it investigates the differences in the perceived challenges between the small- and medium-sized groups of companies.

The study draws on the quantitative method. The questionnaire was distributed to SMEs that supply green goods or services to the government and which are listed in the MyHijau directory. Using convenience sampling, a total of 394 questionnaires were distributed and 126 usable questionnaires were received, representing a response rate of 31.98%. A descriptive analysis of the mean score, standard deviation and mean score ranking was used to analyse the overall results. The t-test analysis was carried out to examine the differences between the small- and medium-sized groups of companies.

All five categories of the barriers, i.e. financial, legal, people, knowledge and organizational challenges, are perceived as the important challenges for SMEs’ involvement in GPP. Of the five categories, “having lack of knowledgeable staff on GPP” under the category of “people” challenge is ranked as the most major barrier. In relation to the differences between the two groups of enterprises (small- and medium-sized), medium enterprises are more affected by two items under the “organization” challenge, i.e. “The company has not targeted suppliers that promote environmentally-friendly products/services” and “The company has not established a clear objective on purchase of green products and services”, as compared to the small-sized enterprises through their GPP involvement.

By understanding the difficulties faced by SMEs in engaging with GPP, various practical measures can be formulated to support the SME businesses in mitigating the challenges faced for their involvement with GPP, which subsequently will lead to the country’s target to reach the sustainable development goals.

This study extends empirical evidence on barriers or challenges that may hinder the involvement in government green procurement, with a specific focus on SME government suppliers.

This paper aims to explore the research field of digital transformation in small and medium enterprises (SMEs), considering the importance of SMEs in the economic development of countries.

Considering the contributions of researchers and the challenges of SMEs to transform their business models, in this paper, the authors conducted a scientometric analysis using CiteSpace that included 448 documents indexed in Scopus.

The authors appreciated the growth in the number of publications that have studied the digital transformation process in SMEs, showing a niche of researchers interested in the flourishing research topic. Likewise, the authors identified the intention of SMEs to adopt digital technologies such as artificial intelligence, big data, cloud computing, data analytics, electronic commerce and the Internet of Things.

This paper is a valuable resource for academics and researchers in information systems, decision-makers in digital transformation in SMEs and governmental organisations concerned with digital technologies adoption in SMEs to achieve digital transformation and increase competitiveness and productivity.

This study used CiteSpace to conduct a scientometric analysis to explore how researchers have focused on frameworks and maturity models for measuring SME readiness, the impact of Industry 4.0 on SMEs, guides for helping managers evaluate their Industry 4.0 positioning, the development and implementation of digital business strategies for SMEs, the presentation of cases of SMEs that have driven digital transformation and future research opportunities.

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.

This article aims to clarify the impact of stock market liberalization on corporate green technology innovation, analyze its mechanism from the perspectives of financing constraints and environmental management level and explore heterogeneity.

Using the panel data of Chinese enterprises from 2010 to 2020, this article adopts the multi-point difference-in-difference (DID) method to test the impact of stock market liberalization on enterprise green technology innovation and its conduction pathway.

The outcomes demonstrate that stock market liberalization contributes to the furthering of green technology innovation. The heterogeneity test reveals that this promotion is more pronounced for private companies, small-scale companies and companies with high information transparency. The mediating effect test shows that stock market liberalization boosts green technology innovation by alleviating corporate financing constraints and improving corporate environmental management.

This article elucidates the impact path of stock market liberalization on corporate green innovation based on alleviating corporate financing constraints and improving corporate environmental management levels. From the perspective of corporate green technology innovation, this article provides evidence from emerging market countries for the economic effects of capital market opening, which helps to further improve the level of green innovation.

The objectives of this paper are twofold. First, it aims to investigate the impact of the COVID-19 pandemic on the activities and performance of small and medium-sized enterprises (SMEs) government suppliers involved in government green procurement (GGP). Second, it examines the differences in the impact of COVID-19 between small and medium-sized groups.

The study used a questionnaire survey that was distributed to SMEs listed in the MyHIJAU directory that supply green goods and services to the government. Of the total 394 sample respondents, 126 usable questionnaires were received, representing a usable response rate of 31.98%. Descriptive analysis of mean score, standard deviation and mean score ranking was used to analyse the overall results. A t-test analysis was carried out to examine the differences between the small and medium-sized groups of companies.

The study discovers that the SME government suppliers involved in GGP were impacted by the COVID-19 pandemic. The top ranked impacts are that “the COVID-19 pandemic has heightened health and safety practices among the employees”, “the COVID-19 pandemic has reduced company’s turnover”, “the COVID-19 pandemic has forced the company to implement a cost reduction strategy”, “the COVID-19 pandemic has had a negative impact on the company’s ability to deliver work, supplies or services to the government” and “the COVID-19 pandemic has forced the company to incur higher production costs for green products or services provided”. However, there is no significant difference between the impact of the COVID-19 pandemic on the small and medium-sized group of enterprises.

The present study is among the fewer studies on the impact of the COVID-19 pandemic, with particular focus on SME government suppliers involved in GGP.