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This paper comments on Allan Gibb’s keynote address to the Small Business and Enterprise Conference earlier this year reproduced in this issue of the Journal. Gibb offers a critical assessment of the ways in which small business theory and research and policy making have handled the transfer of ideas as a basis for small business support policies. The arguments offered are hard hitting and persuasive, especially as an explanation for the poor record of support programmes in transitional economies. This response extends Gibb’s arguments, drawing out some implications. For instance, one of his themes is that small business theorising and research needs to give more attention to cultural and non‐economic phenomena, and this paper suggests ways in which this needs to occur. It concludes that, by accepting Gibb’s arguments, policy making would be more effective and small business theorising and research would be stronger, achieving closer relations with other social science disciplines.

The reason for concern is the rapid decline in loans to small enterprises which is critical to their performance, compared to large businesses following the periods of banking reformations in Nigeria. Thus, the purpose of this paper is to investigate the influence of risk perception on bank lending behaviour to small enterprises. It also investigates the impact of government intervention, consolidation and recapitalization on the relationship between risk perception and bank lending behaviour to small enterprise.

This study empirically analysed (ordinary least square) secondary data obtained from the Central Bank of Nigeria Statistical Bulletins, Annual Statement of Accounts covering the period 1992–2020.

The results show that the absence of government interventions and the presence of banking reformations have statistically negative significant effect on bank lending to small enterprises. The findings challenge the argument that generally assumes risk aversion of banks towards small enterprise lending because of small enterprise’s inability to prove their credit worthiness and consequently constraining access to finance to the sector. Instead, the results and analysis from this study found theoretical support for the variation of bank behaviour in lending to small enterprises depending on the status of wealth of the financial system.

A key lesson from this study for government concerned about promoting performance of the small enterprise sector is that regulating and enforcing lending requirements on access to debt financing of the sector is necessary if constraints in access debt finance is to be eliminated. Second, while strategies such as bank consolidation, recapitalization may help strengthen and make financially robust the banking system; it places the banks in a gain position where losses looms to them than gain.

This study challenges the argument that generally assumes risk aversion of banks towards small enterprise lending as a result of inability to prove their credit worthiness and consequently constraining access to finance to the sector. Instead, the results and analysis from this study reveal a variation in lending to small enterprises and suggests that the position of the bank in relation to a reference point influences how risk is perceived by the bank and thus impacts on their risk decision-making behaviour.

The purpose of this paper is to understand how and why small to medium enterprises (SMEs) access knowledge from external actors in general and from higher education institutions (HEIs) in particular and what is the extent to which these knowledge access pathways affect SME innovativeness.

The paper involved both quantitative and qualitative approaches: a survey of 1,226 SMEs and a mini case study to follow-up on issues arising from the survey analysis. Survey data were analysed using both non-parametric and multivariate Poisson regression analysis. The case study was based on a medium-sized manufacturing firm in South Australia.

While there are significant differences between the micro-, small- and medium-sized enterprises, the evidence suggests that SMEs generally use “generic” university–industry knowledge transfer pathways (e.g. published research results) rather than university–industry links with high “relational” involvement. More significantly, the results indicate that SMEs are more likely to rely on organisations other than universities and related R&D enterprises for knowledge acquisition like clients/customers or suppliers. While collaboration is most likely to occur within the same state/territory, or Australia, many SMEs also collaborate internationally, usually as part of normal supplier–customer relationships, reinforcing knowledge acquisition from organisationally proximate partners. These findings are also supported by the case study.

This research was limited to surveying SMEs in one geographic (metropolitan) region in Australia. It also does not account for the different patterns of HEI–SME interactions in different industry sectors. There is also only one case study.

First, the research adds to the few field studies that have investigated accessing knowledge for innovation among SMEs. Specifically, the research contributes to an understanding of the heterogeneous roles that different actors play in facilitating knowledge access for improving innovative SMEs outcomes. Second, the research does not treat all SMEs similarly in terms of size effects but instead accounts for differing SME sizes and how this affects their selection of knowledge access pathways. Third, the research contributes to a small number of studies that attempt to understand how HEIs and SMEs can work better together in the context of a regional innovation system, especially one that is relatively less competitive to the larger economy.

The purpose of this paper is to analyze how the financial supervision authority utilizes the restrictions of capital constraints imposing on commercial banks the need to develop the macro economy.

This paper uses multilateral game to deduce the loan characteristics of banks, vector and void coordinates to analyze the behavior choices of banks under capital supervision, sets up an index to describe the risk preference of banks, and analyzes the process with Chinese data empirically.

This paper finds big banks have a loan preference for big enterprises and small banks have a preference for establishing a bank syndicate to pursue large projects. Further, the paper notes the conditions by which the heterology banks choose loans across the border and proves that changes of capital requirements would force the credit structure of the commercial banks to adjust along an efficient frontier broken line or an efficient frontier plane under the conditions of interest rate regulation or interest rate marketization, respectively.

It is very complex to describe the choices of risk behavior of banks and the simple supervision method needs to be adjusted.

This paper finds that banks show risk preferences of credit structure, and capital constraints would affect it greatly; regulators should guard against capital constraint softening.

It is the first time that the conditions of banks beyond the loan border have been studied and the behavior adjustment of banks using the vector and void coordinate analyzed.

In this paper, the authors review the literature on the nature of the small and medium-sized enterprise concept. The review examines the broad diversity of terms and definitions used to describe these kinds of firms in scholarly and practical settings. They relate this examination to the concept of small business for the purpose of comparison, in order to highlight differences and similarities between the concepts.

Relevant literature including articles from academia and defining documents from practical settings was identified through a scope literature review. Field data were subsequently collected via questionnaires sent to editors and authors of articles related to the theme. The data were content analyzed and the resulting codes consolidated into dimensions in accordance with the Gioia method. Chi-squared tests were applied to categorical data.

The use of the composite category “small and medium” was found to be predominant in the labeling of small businesses in scientific articles, including those in journals that specialize in small businesses, with no justifications presented for this, characterizing a widespread and consensual practice between authors and editors. In the defining documents of practical settings, however, the authors observed greater consistency and precision both in the terms used and in the delimiting values for a small business (self-employed, micro business, small business). In the sample of 27 defining documents mentioned in the articles, 25 specifically defined “small business” and 20 defined “micro business,” using indicators such as number of employees and annual turnover. The indicators delimiting values regarding the category of micro business were the same in all the documents analyzed and, regarding the category of small business, many documents used the same delimiting values.

Recognizing the “non-large enterprise” myth will provide a more effective posture for editors and authors to avoid using the term “small and medium,” resulting in greater precision, understanding and knowledge regarding small businesses. A better definition of a small business by academia can help public policymakers and managers of organizations that support small businesses to tailor their actions better according to the different sizes of companies. This will also lead to social gains, given the importance of small businesses in terms of job creation and countries' economies.

The authors identified and described the myth of the “non-large enterprise” among academics, characterized by the dichotomous view of the business universe, composed of “large enterprises” and “non-large enterprises,” the latter group being characterized by the widespread use of the term “small and medium.”

How do energy consumption, efficiency and economic performance vary between small enterprises belonging to two different product clusters whose production process and technologies differ?

The objectives are analyzed based on empirical data gathered from a field survey of small enterprises with reference to auto ancillaries in Shimoga and brick‐making enterprises in Malur of Karnataka State in India. Simple averages, correlation and multiple‐regression techniques are used for the analysis.

The study brought out that higher energy intensity results in higher share of energy cost in total variable cost. Energy intensity had a negative relationship with value of output. Energy makes a statistically significant contribution to returns to scale. The classification of small enterprises into two groups based on above average energy intensity and below average energy intensity, and the subsequent regression analysis brought out that energy intensity had a positive influence on returns to scale in auto ancillaries whereas a negative influence on returns to scale in bricks enterprises.

The sample‐size formulation could not be done on a scientific basis due to the absence of comprehensive data on all small enterprises operating in the respective clusters and therefore, the findings may not be generalized.

Industry specific characteristics must be taken into account while introducing “energy efficiency improvement” programmes as a means of enhancing competitiveness in “energy intensive” small enterprises.

The paper illustrates the scope for energy conservation and efficiency improvement in Indian small enterprises.

This research probes into the execution of small and medium‐sized enterprises’ value creativities by a difference analysis with different classifications, different capital, different turnover, different employees, and different established years. This study develop a questionnaire about value creativity with five dimensions and thirty‐five items according to “Valuation” by McKinsey and Company, Inc. and Copeland et al., such as: “Aspiration and target,” “Portfolio management,” “Organization design,” “Process management,” and “Business and individual performance management.” The results are as follows: (1) Most small and medium‐ sized enterprises (SMEs) have executed value creativities; (2) There is a difference in the execution of value creativities between the livelihood industry and the chemical industry; the execution of value creativities by livelihood industry is better than the chemical industry; (3) For value creativities of the execution of different capital and turnover for SMEs, bigger entities are better than smaller ones; (4) For the value creativities of the execution of different numbers of staff in SMEs, those with more staff are better than those with fewer staff; (5) For the value creativities of the execution of different established years for SMEs, those established longer are better than those established shorter.

The purpose of this paper is to propose a debt rating index system for small industrial enterprises that significantly distinguishes the default state. This debt rating system is constructed using the F-test and correlation analysis method, with the small industrial enterprise loans of a Chinese commercial bank as the data sample. This study establishes the weighting principle for the debt scoring model: “the more significant the default state, the larger is the weight.” The debt rating system for small industrial enterprises is constructed based on the standard “the higher the debt rating, the lower is the loss given default.”

In this study, the authors selected indexes that pass the homogeneity of variance test based on the principle that a greater deviation of the default sample’s mean from the whole sample’s mean leads to greater significance in distinguishing the default samples from the non-default samples. The authors removed correlated indexes based on the results of the correlation analysis and constructed a debt rating index system for small industrial enterprises that included 23 indexes.

Among the 23 indexes, the weights of 12 quantitative indexes add up to 0.547, while the weights of the remaining 11 qualitative indexes add up to 0.453. That is, in the debt rating of the small industry enterprises, the financial indexes are not capable of reflecting all the debt situations, and the qualitative indexes play a more important role in debt rating. The weights of indexes “X17 Outstanding loans to all assets ratio” and “X59 Date of the enterprise establishment” are 0.146 and 0.133, respectively; both these are greater than 0.1, and the indexes are ranked first and second, respectively. The weights of indexes “X6 EBIT-to- current liabilities ratio,” “X13 Ratio of capital to fixed” and “X78 Legal dispute number” are between 0.07 and 0.09, these indexes are ranked third to fifth. The weights of indexes “X3 Quick ratio” and “X50 Per capital year-end savings balance of Urban and rural residents” are both 0.013, and these are the lowest ranked indexes.

The data of index i are divided into two categories: default and non-default. A greater deviation in the mean of the default sample from that of the whole sample leads to greater deviation from the non-default sample’s mean as well; thus, the index can easily distinguish the default and the non-default samples. Following this line of thought, the authors select indexes that pass the F-test for the debt rating system that identifies whether or not the sample is default. This avoids the disadvantages of the existing research in which the standard for selecting the index has nothing to do with the default state; further, this presents a new way of debt rating. When the correlation coefficient of two indexes is greater than 0.8, the index with the smaller F-value is removed because of its weaker prediction capacity. This avoids the mistake of eliminating an index that has strong ability to distinguish default and non-default samples. The greater the deviation of the default sample’s mean from the whole sample’s mean, the greater is the capability of the index to distinguish the default state. According to this rule, the authors assign a larger weight to the index that exhibits the ability to identify the default state. This is different from the existing index system, which does not take into account the ability to identify the default state.

Considers the role of employee representation in improving health and safety performance within small enterprises. Focuses on an approach to employee participation through regional health and safety representatives and provides an analysis of the factors necessary to ensure their effectiveness, based on previous studies in the UK and Sweden. Identifies and analyses the challenges presented by small enterprises in light of evidence from existing evaluation of regional representative schemes. Identifies and discusses supportive factors that might enhance representative participation in health and safety in small enterprises, including the role of regulation, and employer and trade union support. Considers the implications of the Health and Safety (Consultation of Employees) Regulations 1996 and concludes that in their present form they offer only very limited support for employee representation in health and safety in small enterprises.

The purpose of this paper is to link management competence to small enterprise performance and assess the role of entrepreneurial orientation (EO) and willingness to change on this relationship.

The authors use structural equation modeling to test a theoretical model based on a data set from two survey instruments: one instrument was administered to the owners of 125 small enterprises within the United Arab Emirates and the second was administered to managers within the same enterprises.

Results show that within the small enterprise setting, managerial competence indirectly influences performance by influencing EO and willingness to change plays a partial mediating role through which EO benefits performance.

The case for linking managerial competence to performance is supported by the dynamic capability logic, which maintains that an enterprise’s advantage lies in its ability to reconfigure its resources, capabilities and routines appropriately in the pursuit of new opportunities and performance benefits. The study suggests that EO plays a pre-eminent role in developing dynamic capability.

Understanding the link between managerial competence and small enterprise performance has important implications for enterprise owners, investors, educators, researchers and policy makers.

The model is a valuable contributor to understanding the dynamic capability perspective within a small enterprise and adds to the growing body of research examining the ability of small enterprises to continuously recognize and exploit new opportunities for sustainable competitive advantage.