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This research examines micro‐enterprises pursuing gradual growth. The research findings and implications are provided in two parts. Part 1 was presented in Volume 6, Number 4 of the Journal of Small Business and Enterprise Development (JSBED) (Perren, 2000). It developed an empirically verified framework that explains how growth was influenced by a myriad interacting factors; this led to a discussion of the policy implications of the framework. Part 2 explores the managerial implications of the framework. A diagnostic toolkit is systematically developed to encourage micro‐enterprise owner‐managers and advisers to explore the influences on the interim growth drivers identified in part 1. It is hoped this will help them to highlight ways of “compensating” deficits in particular factors and to think creatively about growth opportunities. The audience has changed from academics and policy‐makers to owner‐managers, so the diagnostic toolkit avoids technical language and employs a Socratic questioning approach to encourage free‐thinking and self‐analysis.

This research examines micro‐enterprises pursuing gradual growth. While very little research has been targeted specifically at the growth of micro‐enterprises, there are a host of possible influencing factors suggested by the rather broader small business literature. Less research has attempted to integrate the factors that influence growth of small firms into some form of model. Those models that were found had a number of shortfalls when it came to understanding the development of micro‐enterprises. A framework has been developed through this research that addresses these shortfalls. First, it has targeted specifically gradual growth micro‐enterprises; secondly, it is rigorously under‐pinned through empirical research; thirdly, it attempts to comprehensively cover the range of factors that influence development; fourthly, it focuses on the complex interaction of factors that may influence development. The research findings and implications are presented in two parts. Part 1 develops an empirically verified framework that explains how growth is influenced by a myriad of interacting factors. This leads to a discussion of the policy implications of the framework. Part 2 is presented in the next edition of the Journal of Small Business and Enterprise Development (JSBED) and will explore the managerial implications of the framework. This will provide a diagnostic toolkit to help micro‐enterprise owner‐managers and advisers pursue growth. The paper is derived from research conducted initially for the submission of a PhD thesis at the University of Brighton (Perren, 1996).

We consider whether there has been a gradual decoupling of the Australian business cycle from its trading partners in Europe and North America and a closer convergence toward its trading partners in Asia. We set up a dynamic latent factor model to estimate common dynamic components or factors for the real GDP growth rate of 19 countries. From variance decomposition over the 1991–2009 sample, we find that a global factor contributed the most in explaining Australian output growth variations, followed by a European factor, an Asian factor, and finally a North American factor. However, the correlation between Australian output growth movements and the Asian business cycle factor evolved from negative and small to positive and large after 2002. The European and North American factors were negatively correlated with Australian output growth for most of the sample period before turning positive in the global financial crisis of 2007–2008. This evidence supports the hypothesis that the Australian economy has decoupled to some extent from Europe, was not much coupled with North America except insofar as the United States drove the global factor, and has increasingly become positively coupled with Asia.

Research on high-growth firms (HGFs) or gazelles is expanding due to their significant contribution to job growth and economic development. However, the knowledge about the conditions and factors that set these firms on their rapid growth trajectory remains fragmented. Therefore, this chapter provides an abreast inventory of the surging gazelle studies by systematically reviewing the international gazelle growth literature and consolidating firm-level, industry-level, and macroeconomic-level growth factors and their interactions as elaborated in the studies. Based on the review of 62 international empirical studies, this chapter finds that the gazelle growth is complex and multidimensional in its scope and nature. The firm’s growth intention and entrepreneurial nature emerge as necessary but not sufficient conditions to guarantee rapid growth as it results from the impact of and interaction between various firm-level and external factors. The different growth-influencing factors are summarized using a theoretical gazelle growth model, which supports the rare and temporal nature of the gazelle growth.

This study aims to identify and prioritize various growth-accelerating factors in the Indian automotive industry. It further develops a hierarchical model to examine the mutual interactions between the factors, their dependence and their driving power.

This study first identifies the growth-accelerating factors and then uses the modified total interpretive structural modeling (m-TISM) framework, which is an extended version of TISM. It further uses MICMAC analysis to analyze the mutual interrelation between the identified factors.

This study highlights the interrelation amongst the factors using m-TISM model. A hierarchical model shows the level of autonomous, dependence, linkage and independent factors considering the Indian automotive industry. This study also provides the understanding related to the interdependence of growth-accelerating factors.

The government and practitioners could evaluate the growth-accelerating factors which have higher driving power for implementing efficient policies and strategy formulation. By implementing m-TISM model in the Indian automotive industry, auto manufacturers can become more productive and profitable. Future studies could use other methods such as expert opinion to derive the factors, and further model could be verified using structural equation modeling technique.

This study uses a novel m-TISM framework for the analysis of growth-accelerating factors in the context of the Indian automotive industry. It further provides a detailed theoretical and conceptual understanding relating to the philosophy and establishes an interrelation amongst these under-researched growth-accelerating factors.

The purpose of this paper is to mainly investigate what factors drive growth for independent hotel firms on an island.

Two steps were followed. First, to identify hotels demonstrated significant growth; 92 independent hotels in North Cyprus were analyzed via a self-report questionnaire. Second, key growth factors were examined in five hotels showing the growth over years among the independent hotels via in-depth, semi-structured interviews, focus group interviews, and observations.

The study findings revealed 16 important growth factors for hotels, including active risk taking, education, family history, networks of contacts, other business interests, family investing friends, key employee partners, customer concentration, autonomy, innovativeness, proactiveness, competitive aggressiveness, location, desire to succeed, age of founders, and state support where are strong, weak, and interrelated relationships among these factors. These findings allow factors to be categorized into new groups, namely, strategic and tactical factors. The research findings unveil new factors referred to as “political conflict – pursuing different strategy and opportunities,” importance of second generations affect and entrepreneur’s metacognitive strategies, “informal networking.”

More research should also be undertaken for entrepreneurs or managers who formulate and implement strategies to enter new markets or to tackle turbulent and/or unstable environments.

This study reveals that one factor on its own cannot influence the growth of hotels. Rather, successful growth depends on the entrepreneur’s ability to combine all factors in harmony.

Given that there is limited empirical evidence on the growth of independent hotels on islands, this study made an important attempt to contribute to the entrepreneurship literature in the hospitality management and family business fields via micro-level approaches concerning the factors influencing hotels’ growth on an island. This is one of the first studies presenting and discussing empirical findings on growth factors for small hotels on an island, and brings a new perspective by grouping factors as strategic and tactical factors.

The objective is to develop an empirical model estimating the relationship and interaction amongst the factors affecting and enhancing green finance (GF) in developing economies like India.

Around nine growth-accelerating enablers of green financing were found through literature and unstructured interviews and analysed using the total interpretive structural modelling (TISM) method. The hierarchical link between each factor is established using TISM, and further to evaluate the driver-dependent relationship the Matriced’ Impacts Croises Appliquee Aaun Classement (MICMAC) approach is utilised.

The findings demonstrate an interrelationship between growth-accelerating factors, where the political environment and information and communication technology (ICT), have minimal dependency but a strong driving force. Political environment and ICT are found as strategic-level factors lying at the bottom of the model driving towards the dependent variables. The government should focus on enacting effective policies such as the green credit guarantee scheme and carbon credit and establishing a regulatory framework to enhance green financing.

This study examines the literature to generalise the findings and focus on the primary motivators for developing green financing. To increase green financial activity, practitioners must concentrate on aspects with significant driving forces. Furthermore, it makes organisations more profitable, efficient and competitive and promotes long-term growth.

The study is the first in the literature which identifies the growth-accelerating factors of green financing using the TISM and MICMAC-based hierarchical models.

This paper aims to investigate a relatively new anomaly of investment growth and revisits well-known anomalies of size and value. It aims to answer two main research questions. First, can covariance risks (i.e. factor loadings) be excluded from being determining variables that drive return premiums and explain stock returns? Second, from a behavioral finance standpoint, the authors examine whether using firm characteristics is a more practical and accessible approach and also meets the necessary and sufficient conditions to analyze stock returns.

The authors create the investment-growth-based factor (LMH) which is defined as the return difference between low and high investment growth portfolios. The authors then incorporate the LMH factor along with other characteristic-based factors and their loadings into characteristic-balanced portfolio and three-factor model tests.

The authors find that covariance risks on investment growth, size and value are not necessary as determining variables. Instead, they find that behavioral-related firm characteristics of investment growth, size and value are necessary and sufficient as determinants of return premiums and stock returns.

The results have practical and useful implications for investors in their stock portfolio analysis and selection because firm characteristics are relatively more available than covariance risks that need estimation and typically contain measurement errors.

The paper has practical value to investors in their stock portfolio analysis and selection. Methodologically, in contrast to prior studies that do not directly use the investment growth to control for portfolio characteristics, the use of the newly created LMH factor and its loadings allows us to directly and properly test if the investment growth anomaly is related to the investment growth characteristic that is hypothesized to drive return premiums and determine stock returns from behavioral finance perspectives.

The purpose of this paper is to develop a double mechanism model to separate two foreign direct investment (FDI) intra-industry spillovers mechanisms: spillovers by FDI intensity and by FDI efficiency. This paper seeks to illustrate the potential use of the double mechanism model rather than provide precise estimates of spillovers. The evidence on the links between technology and the nature, size and mechanisms of FDI spillovers effects in economically developing countries is mixed.

A model is developed and tested, in principle. Empirical testing was conducted in two steps. In the first step, the authors examined the effect of each influencing factor to FDI spillovers separately. To complete this step, the authors divided the whole sample industry into sub-groups and tested them with the double-mechanism using ordinary least squares regression. This study applies Chinese National Bureau of Statistics manufacturing industry level data, for the years 2000, 2001 and 2002, including the food industry, beverage industry, textile industry, textiles and garments, chemicals and chemical products industry, overall manufacturing equipment, special equipment, computer and other electronic equipment manufacturing industries.

The analysis suggests significant differences between types of spillovers: export orientation of domestic firms mainly influences FDI spillovers by intensity; the capability gap between local and foreign firms influences spillovers by efficiency; and the growth of local firms influences both types of spillovers. This paper develops existing models of FDI and suggests that disaggregating spillovers types may provide important theoretical and policy insights.

This study has found, first, that compared with the classic single mechanism model, the double mechanism model is more appropriate for testing FDI intra-industry spillovers, as it is able to separate spillovers by intensity and spillovers by efficiency, which are shown as two distinct mechanisms for FDI spillovers. This allows a deeper analysis into each mechanism and the identification of relevant influencing factors.

This paper aims to contribute to the understanding of the motives of individuals in Tanzania to start their own businesses on the one hand and the growth of their firms on the other hand.

A survey method was used to gather data from 300 small business owners and managers located in selected cities in Tanzania. Multiple regression analysis was conducted to analyse the relationship between the motivation to start an own business on the one hand and firm growth on the other hand. Three indicators for growth, namely, employment, sales and assets, were used to measure growth.

The results suggest that that pull factors are more important to start the businesses than push factors. This contradicts the common opinion and previous research that push factors are more important than pull factors in developing countries. Furthermore, the study found that pull factors are positively related to firm, whereas push factors are negatively related to firm growth.

It should be noted that while this paper makes a number of contributions, there are some limitations that should be considered when interpreting the results. For instance, the data for this study were collected from only one type of business, i.e. the furniture industry (in Tanzania). Accordingly, we do not know the applicability of these findings to other businesses in other sectors. Therefore, future research should include businesses in other sectors to ascertain if the present findings are specific to the furniture business only or are applicable to other businesses as well.

Our findings indicate that there are differences in motivations among owner-managers in starting the business and subsequent firm performance. Therefore, individuals need different forms of support depending on the level of development of their business, as well as their motivation. For example, we have seen that the presence of role models has a significant effect on business growth. Therefore, the government might consider using the media and other mechanisms to feature stories about successful entrepreneurs.

The authors extend the findings of previous studies that investigate the owner-manager motives and small and medium-sized enterprises (SMEs) growth in developed economy settings, but neglected emerging economies. The study also contradicts the common opinion and previous research that push factors are more important than pull factors in developing countries.