The research frontier on internationalization of social enterprises

Social enterprises (SEs) are hybrid organizations that simultaneously pursue financial and social goals, while addressing institutional voids. Despite the extensive cross-border activities of SEs, the state of research addressing such flows of funds, technology and personnel is undeveloped. In this introductory article, we discuss the unique aspects of SEs and explore how the international business literature can inform our understanding of their internationalization. We outline promising areas for future research related to the drivers of and the processes underlying SE internationalization as well as its consequences. With this as a background, we introduce the five articles in this Special Issue.     

Training for creativity and innovation in small enterprises in Ethiopia

Policy makers recognize the role of small businesses in bringing about economic growth and reducing or eliminating poverty, and training can contribute significantly to this process. The present study adds to the small firm literature by examining whether training encourages small firms to be more creative and innovative. It does so by investigating the extent of creative and innovative activities in small enterprises (SEs) that have undertaken training with support from the Ethiopian technical and vocational education and training system. SEs for the purpose of the study are businesses with fewer than 30 employees. The term includes micro‐enterprises, which are defined in Ethiopia as having fewer than six employees. Quantitative methodology was used to compare and contrast these enterprises with similar enterprises which had not had training support. Data were collected from 146 randomly selected small firms by means of interviews with owners and employees. Interviews were also conducted with technical, vocational education and training experts. The study examined five predictors of creativity and innovation activities that training support would be expected to encourage and found significant differences in two of them: creative thinking and motivational attributes. Differences in other creativity and innovation variables, however, were not significant. The researchers conclude that education and training for creativity and innovation should be prioritized to enhance the performance of small firms, in particular by increasing their expertise, improving their motivation and ability to surmount challenges and developing their creative thinking in the search for new business ideas.     

Social Enterprises and the Performance Advantages of a Vincentian Marketing Orientation

This study focuses on the managerial issue of should social enterprises (SEs) become more marketing oriented. It adapts the Kohli et al. (J Mark Res 30:467–477, 1993) MARKOR marketing orientation scale to measure the adoption of marketing by SEs. The items capture Vincentian-based values to leverage business in service to the poor as a measure of a Vincentian marketing orientation (VMO). A VMO is an organisational wide value-driven philosophy of management that focuses a SE on meeting its objectives by adopting a more marketing orientated approach to serve the needy and poor in a just and sustainable manner. SEs that exhibit a VMO seek to understand and respond to both the needs of their beneficiaries and stakeholders. They are constantly generating, disseminating, and responding to environmental, beneficiary, and stakeholder information and develop their business propositions to more effectively and efficiently meet the needs of the poor, while guided by a philosophy of leveraging business for social good. This study of SEs in Australia found that a VMO is strongly and positively correlated with social, economic, and environmental performance. These findings suggest that SEs may benefit by leveraging marketing capabilities to better serve their beneficiaries and stakeholders.     

Social entrepreneurship performance measurement: A time-based organizing framework

Social entrepreneurship (SE) has evolved from an initial period of explosive growth (SE 1.0), during which research focused on organizational and founder characteristics, to a stage that witnessed the rise of institutions facilitating SE formation and growth (SE 2.0). At present, while expansion in the number and scope of social enterprises continues, there is also a concerted effort underway to ascertain whether social enterprises are performing as expected (SE 3.0). A framework to assess the performance of SE, building on the type of metrics employed by business firms, is presented in this article. The framework—consisting of action-resources, predictors, outputs, outcomes, and impact—is intended to measure achievement along a timeline. Examples of how the framework would be used are provided for social enterprises with a range of social purposes, including one that involves an existing enterprise with the mission of reducing recidivism among incarcerated women. Brief comparisons with measures actually used help identify how the time-based approach laid out here would enhance assessment efforts and even serve as a basis for planning and decision making. The proposed framework could serve as a template to assess all social enterprises regardless of purpose, stakeholder mix, or scale of operations.     

Small businesses and liquidity constraints in financing business investment: Evidence from shanghai's manufacturing sector

When firms experience financial hierarchy, external finance, if at all available, is substantially more expensive than internal finance. Factors such as transaction costs, agency problem, and asymmetric information have created such a hierarchy. Stiglitz and Weiss (1981) argue that asymmetric information between firms and potential suppliers of external finance creates adverse selection and moral hazard problems in the credit market in developed market economies. This problem of a higher cost of external finance is commonly thought to be more serious for small firms because they are more disadvantaged than their larger counterparts in accessing external finance due to several factors: (1) Public information on small firms is generally not available and leads to the even greater problem of asymmetric information, i.e., more severe adverse selection and moral hazard problems. These information problems have excluded small firms from bond and share markets. (2) Due to the lack of available means of external finance, small firms rely more heavily on bank loans than their larger counterparts. In addition, as small firms are more interested in cultivating stable relationships with a few banks in order to secure a stable supply of credit, these banks become virtual monopolies by lending to small businesses and exercise their market power in lending to small firms.Most of existing research considers only small firms in market economies; little research has been done to understand the relationship between firm size and investment financing in any economy in transition. This paper makes a contribution to the literature by studying the relationship between firm size and liquidity constraints by using a firm level data of manufacturing enterprises in Shanghai during the period of 1989–1992. We consider whether small manufacturing firms in Shanghai are constrained by the availability of liquidity compared with their larger counterparts when they are financing their fixed investment. In a transforming economy such as China (or other similar transition economies), external finance relies heavily on loans from banks that are fully owned by the state. Due to historical reasons, allocations of credit are always biased in favor of state-owned enterprises. Such a `lending bias' imposes an extra cost on small Chinese enterprises in financing investment as the majority of them are not state-owned.In such an environment, our empirical results show that small manufacturing firms in Shanghai are actually less liquidity-constrained than their larger counterparts in financing their fixed investment. This surprising result is rather different from what people normally predict based on the experience in market economies. We suggest three possible explanations for this peculiar finding: (1) The composition of various firm size classes plays an important role in explaining the result: Non-state enterprises which are fast growing and efficient dominate the small firm classes. Their successes in the markets helps them to generate enough internal funds to smooth their investment over time. (2) The presence of heavy indebtedness of large state-owned enterprises may deprive them of sufficient cash available for investment decision. Given that state-owned enterprises have been making heavy losses, the central and regional governments have a liquidity problem in satisfying their huge liquidity demands. (3) Small enterprises in non-state sectors can rely on the informal credit market to obtain funds for investment although they are excluded from the state banking system.However, the further trade liberalization in terms of eliminating tariffs and quotas caused by China's bid of joining the WTO will erode the profits of these small enterprises as imported goods will be supplied at lower prices. In addition, further reforms in financial sectors may also affect the supply of external finance to small enterprises in nonstate sectors. The consequence may lead to a tight liquidity constraint for small enterprises in China.     

The Impact of Knowledge Acquisition and Absorptive Capacity on Technological Innovations in Developing Countries: Evidence From Egyptian Small and Medium-Sized Enterprises

The author examines the determinants of technological innovations in Egyptian manufacturing and service small and medium-sized enterprises. Three categories of determinants are explored: (a) firms’ exposure to external knowledge and technologies, (b) firms’ absorptive capacity, and (c) financial and market barriers to innovation. A large dataset derived from the 2009 Egyptian innovation survey is used to estimate two binary logit models of factors explaining firms’ propensity to innovate in the manufacturing and service sectors. Results show that Egyptian manufacturing and service small and medium-sized enterprises follow similar paths to innovate and confirm the assumption that the catching-up reality in most developing countries makes the patterns followed by firms to innovate fundamentally different from those applied in countries at the technology frontier.     

Prediction of hotel bankruptcy using support vector machine,artificial neural network,logistic regression,and multivariate discriminant analysis

The objectives of this paper are firstly, to provide an optimal hotel bankruptcy prediction approach to minimize the empirical risk of misclassification and secondly, to investigate the functional characteristics of multivariate discriminant analysis, logistic, artificial neural networks (ANNs), and support vector machine (SVM) models in hotel bankruptcy prediction. The performances were evaluated not only in terms of overall classification and prediction accuracy but also in terms of relative error cost ratios. The results showed that ANN and SVM were very applicable models in bankruptcy prediction with data from Korean hotels. When jointly measuring both type I and type II errors, especially allowing for the greater costs associated with type I errors, however, ANN was more accurate with smaller estimated relative error costs than SVM. Thus, if the objective is to find the best early warning technique that performs accurately with small relative error costs, then, it will be worth considering ANN method for hotel bankruptcy prediction.     

The Internationalization of the Small Firm in Developing Countries—Exploratory Research from Pakistan

Abstract

Based on case studies of six small exporting Pakistani enterprises, this preliminary study considers the relevance of models of internationalization to small scale enterprises from developing economies. The results show little support for most existing models, although the importance of contacts and connections in all aspects of internationalization is supportive of network theory. The stability of exporting relationships involving agents/wholesalers/importers is linked to the production orientation of the enterprises. Policy implications concern the need for greater marketing awareness and training in small firms; and for improved links with overseas distributors and with ethnic Pakistani communities abroad.     

美国网上证券经纪公司发展路径研究

本文认为,网上证券经纪公司会随着企业生存环境的改变,依据自身的内生竞争实力及外生获得性能力不断地在发展过程中进行业务转型和策略调整,以获取其他企业的优势基因,整合企业自有资源,增强企业抗风险能力,从而适应环境的变化,保持企业的长期生存和持久的竞争实力。文章指出,企业的策略选择具有路径依赖的惯性,不同的网上经纪公司会采取不同的策略切入点,同一个企业在不同的发展阶段也会采取不同的策略,选择不同的路径以求得发展和提高。     

Formal vs. Informal CSR Strategies: Evidence from Italian Micro, Small, Medium-sized, and Large Firms

Recent research on corporate social responsibility (CSR) suggests the need for further exploration into the relationship between small and medium-sized enterprises (SMEs) and CSR. SMEs rarely use the language of CSR to describe their activities, but informal CSR strategies play a large part in them. The goal of this article is to investigate whether differences exist between the formal and informal CSR strategies through which firms manage relations with and the claims of their stakeholders. In this context, formal CSR strategies seem to characterize large firms while informal CSR strategies prevail among micro, small, and medium-sized enterprises. We use a sample of 3,626 Italian firms to investigate our research questions. Based on a multi-stakeholder framework, the analysis provides evidence that small businesses’ use of CSR, involving strategies with an important impact on the bottom line, reflects an attempt to secure their license to operate in the communities; while large firms rarely make attempts to integrate their CSR strategies into explicit management systems.     

How Small Is Too Small? Firm Size as a Barrier to Exporting from the United States

The purpose of this paper is ask whether there is a minimum size that firms must achieve to take advantage of the benefits of exporting from the United States. An analysis of 2,822 firms in 49 different industries in South Carolina, a rapidly growing export–driven state, was conducted to address this question. This paper builds on the contributions of previous research in the areas of small to medium–sized enterprises (SMEs) and export success and SMEs in the export development process. Analysis of manufacturing exports from South Carolina indicates that firm size serves as a necessary as well as a sufficient condition for export success among small manufacturing firms. Reasons for this are discussed, and implications for managers and policymakers are offered.     

The Role of Systematic International Market Selection on Small Firms' Export Performance

This article hypothesizes that, on average, small and medium-sized enterprises (SMEs) that use a systematic methodology in selecting foreign target markets (what we call systematic market selection) perform better than SMEs using an ad hoc international market selection methodology. Using a sample of Greek exporting firms, we found that systematic international market selection is a significant determinant of export performance, even when controlling for decision-maker and firm-specific characteristics previous studies found to be related to export success. Implications for managers, trade promotion agencies, and future research are discussed.     

The Impact of Public Support on SMEs' Outward FDI: Evidence from Italy

This paper evaluates the impact of public financial support to the internationalization of small and medium enterprises. We analyze the growth performance of firms that conducted outward foreign direct investments in the period 1994–2008, comparing firms that benefited from public support (380) with a sample of firms that also internationalized their activity in the same period but without any incentive (508). The econometric results, stemming from a two‐step treatment effect model, reveal that incentives are effective in enhancing firms' performance in terms of domestic turnover and productivity growth, especially when they are targeted at smaller and younger firms. Moreover, the effect of the incentives is enhanced for firms that have accumulated international experience.     

What Affects New and Established Firms’ Expansion? Evidence from Small Firms in Russia

Research on financial constraints of very small firms is scarce because it is difficult to observe and measure their transactions. Previous studies on small enterprises in post-communist countries have focused either on the effect of financing constraints on business growth (Budina et al., 2000, Economics of Transition 8(2), 453–475; Bratkowski et al., 2000, Economics of Transition 8(1), 101–116) or on the effect of property rights (Johnson et al., 2002, American Economic Review 92(5), 1335–1357). This paper provides evidence on both. It turns out that financing constraints and property rights considerations affects investment in firms of different age differently. Younger firms face higher information costs and their expansion is more dependent on the availability of internal funds than is the expansion of older firms. This paper also finds that while the financial sector did not channel funds to the most successful businesses, there is evidence that loans were given to firms that had more transparent transactions. Results also indicate that the security of property rights does not influence investment in young firms, which is interpreted to mean that only the most efficient entrepreneurs entered the market. In older small firms, investment is negatively influenced by the index of security of property rights suggesting that these firms might have “secured” their property rights by bribes. Improvements in the security of property rights, therefore, would help more micro enterprises to be born as well as decrease transaction cost of established enterprises.      

International Opportunity Recognition among Small and Medium‐Sized Family Firms*

Current research in the field of entrepreneurship emphasizes the importance of opportunity recognition as a key element in the entrepreneurial process. It has been recognized that network ties, activeness and alertness, and prior knowledge are related to how entrepreneurs recognize new opportunities. However, it is unclear how important these factors are when a firm explores opportunities for entry into a foreign market. In this exploratory case study, covering the international opportunity recognition of eight family‐owned small and medium‐sized enterprises (SMEs), we found that the firms in question mainly recognized international opportunities by establishing new formal ties rather than using existing informal or family ties. The findings also indicated that due to the small size and the flexibility of the management team in family SMEs, these firms were able to react quickly to new international opportunities. However, there was no direct relationship between the prior knowledge of the firms and their international opportunity recognition. In addition, we found that trade exhibitions formed the primary context for the international opportunity recognition of the SMEs in this study. These findings motivate a set of five propositions that may lead to further studies on this topic.     

Technological Collaboration: Bridging the Innovation Gap between Small and Large Firms*

This paper analyzes how technological collaboration acts as an input to the innovation process and allows small and medium‐sized enterprises to bridge the innovation gap with their bigger counterparts. Based on a large longitudinal sample of Spanish manufacturing firms, the results show that though technological collaboration is a useful mechanism for firms of all sizes to improve innovativeness, it is a critical factor for the smallest firms. The impact of this collaboration varies depending on innovation output and type of partner. Specifically, the impact of collaboration in small and medium‐sized firms is more significant for product than process innovations. Regarding type of partner, vertical collaboration—with suppliers and clients—has the greatest impact on firm innovativeness, though this effect is clearer for medium‐sized enterprises than for the smallest firms.     

Clustering-based classification of road traffic accidents using hierarchical clustering and artificial neural networks

Artificial neural networks (ANNs) have been widely used in predicting the severity of road traffic crashes. All available information about previously occurred accidents is typically used for building a single prediction model (i.e., classifier). Too little attention has been paid to the differences between these accidents, leading, in most cases, to build less accurate predictors. Hierarchical clustering is a well-known clustering method that seeks to group data by creating a hierarchy of clusters. Using hierarchical clustering and ANNs, a clustering-based classification approach for predicting the injury severity of road traffic accidents was proposed. About 6000 road accidents occurred over a six-year period from 2008 to 2013 in Abu Dhabi were used throughout this study. In order to reduce the amount of variation in data, hierarchical clustering was applied on the data set to organize it into six different forms, each with different number of clusters (i.e., clusters from 1 to 6). Two ANN models were subsequently built for each cluster of accidents in each generated form. The first model was built and validated using all accidents (training set), whereas only 66% of the accidents were used to build the second model, and the remaining 34% were used to test it (percentage split). Finally, the weighted average accuracy was computed for each type of models in each from of data. The results show that when testing the models using the training set, clustering prior to classification achieves (11%–16%) more accuracy than without using clustering, while the percentage split achieves (2%–5%) more accuracy. The results also suggest that partitioning the accidents into six clusters achieves the best accuracy if both types of models are taken into account.     

Small and Medium-Sized Enterprises and IT Diffusion Policies in Europe

The main argument to justify an information technology (IT) diffusion policy for small and medium-sized enterprises (SMEs) is that IT could act as a catalyzer to the SMEs' growth, which is important because of the role played by these firms in innovation and regional development. However, due to the heterogeneity of SMEs, present IT diffusion policies in Europe are reaching only a limited number of these firms. The aim of this paper is to discuss the obstacles to the implementation of an IT diffusion policy for SMEs. The main arguments that justify a policy for IT diffusion in SMEs, and the main initiatives taken for IT diffusion in these firms in European countries are summarized. The shortcomings of present policies will be discussed, together with possibilities to increase IT diffusion in SMEs.     

Supplier Selection Practices among Small Firms in the United States: Testing Three Models

One of the issues investigated in recent studies on small business enterprises involves the role of supply chain management. Supply chain management has become an important part of strategic planning in both large and small businesses in the 1990s as firms increasingly choose outsourcingas an externally-driven strategic growth path. This study examines the supplier selection practices among 78 small business executives in the midwest United States by testing three models: rational/normative, external control, and strategic choice. Although the results show support for all three models, the rational/normative model emerges as the most significant model for predicting the supplier selection practices of small firms.     

ASPEM as the New Topographic Analysis Tool for Small and Medium-Sized Enterprises (SMEs) Performance Models Utilization

Quantifying and measuring small firm performance is vital in our understanding of how internationalization influences firm performance. That is also important when attempting to grasp the mechanisms of the internationalization processes. There are few methods used for the evaluation of performance of Small and Medium-sized Enterprise (SMEs). These methods can be either macro or micro economic in nature. Hazard Modeling, Stochastic Models, and Learning Models are examples of macro economic models while Z-Scores, ZETA-Scores, Neural Networks, and the SIV^® model are examples of micro models. Choosing the most suitable performance model is an essential step in order to maximize our knowledge in relation to firm performance. Utilizing SMEs performance measures without thinking about the category of model, will bias the outcome of the majority of SMEs studies. However, using firm performance diverse models in an efficient manner requires strategic thinking. In this paper, we are re-introducing a tool that can accommodate that aspect. Abouzeedan (2002) designated the new tool: the Arena of SMEs Performance Models or an ASPEM diagram. The horizontal axis in the diagram indicates the Information Intensity Requirements of the model. The vertical axis indicates the Coverage Intensity of the model varying from an individual firm up to a whole group of firms. By allocating each of the SMEs performance models, at the suitable region of the ASPEM Diagram, researchers can better build a sound strategy for the application of these methods.