A Panel Data Analysis for Exploring the New Determinants of Growth in Small and Medium Sized Enterprises in India

2017 ◽  
Vol 8 (1) ◽  
pp. 1-23
Author(s):  
Manoj Kumar
Keyword(s):  
Firm Growth ◽  
Small And Medium Enterprises ◽  
Panel Data Analysis ◽  
Growth Opportunities ◽  
Tax Rate ◽  
Determining Factors ◽  
Main Determinants ◽  
And Performance ◽  
Medium Enterprises ◽  
Future Growth

The purpose of this paper is to explore the main determinants of growth in small and medium sized enterprises (SMEs) in India. The empirical research has suggested that firm growth is determined not only by the traditional characteristics of size and age but also by other firm-specific factors such as indebtedness, internal financing, future growth opportunities, process and product innovation, and organisational changes. No empirical evidence has been provided so far on which of these determining factors are associated with SMEs growth and performance in India. Using a panel dataset of 560 fast growing small and medium enterprises from India the author finds evidence that firm size and age can explain to a large extend the growth in SMEs in India. Firm specific characteristics such as short-term liquidity, future growth opportunities, internally generated funds, and factor productivity are found to be important factors in determining a firm's growth and performance. Economy-wide factors such as inflation and corporate income tax rate (but not gross domestic product) seem to have a significant effect on SMEs growth in India.

SME GROWTH STRATEGIES: ORGANIC OR NON-ORGANIC?

2007 ◽  
Vol 15 (04) ◽  
pp. 317-338 ◽  
Author(s):  
MIKA PASANEN
Keyword(s):  
Firm Growth ◽  
Small And Medium Enterprises ◽  
Growth Strategies ◽  
Factors Affecting ◽  
Organic Growth ◽  
Growth Firms ◽  
Managerial Implications ◽  
Strategic Factors ◽  
And Performance ◽  
Medium Enterprises

This paper focuses on factors affecting the growth and performance of small and medium enterprises (SMEs). The aim was to identify strategic factors differentiating two types of growth firms, organic growth SMEs and acquisition growth SMEs. The comparison was based on the empirical data of 20 acquisition growth SMEs and 90 organic growth SMEs, The analysis revealed strategic differences, with important implications, between the two groups. The most noteworthy differences were related to their scale of operation, firm age, founders, and product and customer structures. The results increase our understanding of the factors affecting SME growth and performance in two different contexts of growth strategies. They suggest that firm growth pattern is associated with SME characteristics, and thus has managerial implications.

scholarly journals Determining factors in MSMEs success: An empirical study in Mexico

2022 ◽  
Vol 6 (1) ◽  
pp. e384
Author(s):  
Rubén Molina-Sánchez ◽  
Domingo García-Pérez-de-Lema ◽  
Alejandra López-Salazar ◽  
Roberto Godínez-López
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Empirical Study ◽  
Small And Medium Enterprises ◽  
Binary Logistic Regression ◽  
Binary Logistic Regression Analysis ◽  
Technology And Innovation ◽  
Determining Factors ◽  
Quality Technology ◽  
Medium Enterprises

This work empirically analyzes the competitive factors that help make micro, small, and medium enterprises (MSMEs) successful. To do this, an empirical study with a sample of 614 companies in Guanajuato, Mexico, has been carried out. The results of the binary logistic regression analysis show that quality, technology, and innovation are the main variables that determine a company’s success. These findings could provide guidelines to help MSMEs improve their competitiveness, and they could help public administrations better support MSME growth.

scholarly journals Liquidity, profitability, tax rate and bankruptcy risk in Colombian SMEs

2020 ◽  
Vol 24 (1) ◽  
Author(s):  
Nelson A. Andrade-Valbuena ◽  
Fabio Moscoso Duran ◽  
Carlos Salcedo-Perez
Keyword(s):  
Longitudinal Research ◽  
Small And Medium Enterprises ◽  
Pearson Correlation ◽  
Statistical Evidence ◽  
Tax Rates ◽  
Bankruptcy Risk ◽  
Tax Rate ◽  
Risk Of Failure ◽  
Medium Enterprises ◽  
Score Index

This article looks for statistical evidence for the correlation between liquidity, profitability, tax rates and bankruptcy risk for the period 2011 - 2016 between Small and Medium Enterprises in Bogota (Colombia). To do so, the authors conducted a quantitative, longitudinal research for which the Altman Z’’ Score index was used. Data from 2,084 enterprises belonging to 19 industries was collected. The relations between the variables were analyzed by the Pearson correlation coefficient. A significant positive correlation between the risk of failure and low levels of liquidity was evidenced in several industries. The results for the relation between the risk of bankruptcy and profitability were not conclusive, neither significant. Not enough statistical evidence that related rates of return or tax rates to risk of failure was found.

scholarly journals Financial capital, constraints, partners, and performance: An empirical analysis of Indonesia SMEs

2021 ◽  
Vol 18 (2) ◽  
pp. 210
Author(s):  
I Wayan Widnyana ◽  
I Made Dauh Wijana ◽  
Almuntasir Almuntasir
Keyword(s):  
Financial Performance ◽  
Financial Constraints ◽  
Small And Medium Enterprises ◽  
Value Added ◽  
Financial Capital ◽  
Moderation Effect ◽  
And Performance ◽  
Medium Enterprises ◽  
The Relationship

Indonesia's small and medium enterprises (SMEs) are considered the backbone of the national economy. However, the fact that SMEs still contribute less to the national gross domestic product (GDP) in terms of value-added, need to be addressed. While previous studies mainly focused on financial (access) constraints as one of the major constraints faced by small enterprises which affect their growth and performances, this study aims to extend the relationship between capital and financial performance of Indonesia SMEs with the moderating effect of financial constraints and partners. This study is different from others as it uses a bigger panel dataset which is about 4.36 million SMEs in Indonesia and is the first to explore the role of financial partners comprehensively. Moreover, the panel regression model with geographic analysis unit uses as a data analysis method. The results of the study show that financial capital has a positive and significant effect on the financial performance of SMEs. Furthermore, while the moderation role of financial partners on the relationship between financial capital and financial performance of Indonesia SMEs was failed to prove, the negative moderation effect of financial constraints was able to prove in this study.

Green Manufacturing Practices and Performance among SMEs

2013 ◽  
pp. 208-225 ◽  
Author(s):  
T. Ramayah ◽  
Osman Mohamad ◽  
Azizah Omar ◽  
Malliga Marimuthu ◽  
Jasmine Yeap Ai Leen
Keyword(s):  
Small And Medium Enterprises ◽  
Green Manufacturing ◽  
Performance Data ◽  
Green Technologies ◽  
Environmental Initiatives ◽  
Manufacturing Performance ◽  
Green Practices ◽  
And Performance ◽  
Medium Enterprises ◽  
The Relationship

Due to the rise in environmental awareness, green technologies and practices have become the conscientious imperative expected from all manufacturing industries. Consequently, environmental initiatives are becoming an essential part of the strategic planning in organizations, including the small and medium enterprises (SMEs). Thus, the objectives of this study were to determine the extent of implementation in green manufacturing practices among the SMEs as well as to examine the relationship between those practices and manufacturing performance. Data was collected via a survey from 544 SMEs across all types of industries located throughout Malaysia. Results of the analysis showed that there is an encouraging level of implementation in green practices among the SMEs, with the optimization of processes to reduce solid waste being the top practice. The results also revealed that green practices within the inbound and production phase of the manufacturing lifecycle significantly affected manufacturing performance but not practices within the outbound phase.

Green Manufacturing Practices and Performance among SMEs

2013 ◽  
pp. 1026-1043
Author(s):  
T. Ramayah ◽  
Osman Mohamad ◽  
Azizah Omar ◽  
Malliga Marimuthu ◽  
Jasmine Yeap Ai Leen
Keyword(s):  
Small And Medium Enterprises ◽  
Green Manufacturing ◽  
Performance Data ◽  
Green Technologies ◽  
Environmental Initiatives ◽  
Manufacturing Performance ◽  
Green Practices ◽  
And Performance ◽  
Medium Enterprises ◽  
The Relationship

Due to the rise in environmental awareness, green technologies and practices have become the conscientious imperative expected from all manufacturing industries. Consequently, environmental initiatives are becoming an essential part of the strategic planning in organizations, including the small and medium enterprises (SMEs). Thus, the objectives of this study were to determine the extent of implementation in green manufacturing practices among the SMEs as well as to examine the relationship between those practices and manufacturing performance. Data was collected via a survey from 544 SMEs across all types of industries located throughout Malaysia. Results of the analysis showed that there is an encouraging level of implementation in green practices among the SMEs, with the optimization of processes to reduce solid waste being the top practice. The results also revealed that green practices within the inbound and production phase of the manufacturing lifecycle significantly affected manufacturing performance but not practices within the outbound phase.

scholarly journals Innovative CRM and Performance of SMEs: The Moderating Role of Relational Capital

2020 ◽  
Vol 6 (4) ◽  
pp. 155
Author(s):  
Nagwan AlQershi ◽  
Sany Sanuri Mohd Mokhtar ◽  
Zakaria Bin Abas
Keyword(s):  
Structural Equation ◽  
Small And Medium Enterprises ◽  
Critical Role ◽  
Customer Relationship ◽  
Relational Capital ◽  
And Performance ◽  
Medium Enterprises ◽  
The Relationship ◽  
Key Customer

Customer Relationship Management (CRM) is more than an information tool and plays a critical role in small and medium enterprises (SMEs). The present study explored the moderating effect of relational capital (RC) on the relationship between CRM dimensions and the performance of 284 Yemeni manufacturing SMEs. Partial Least Squares-Structural Equation Modelling (PLS-SEM) was used to test the study’s hypotheses. Results indicate that only three of the CRM dimensions have a significant effect on performance. The moderating effects of relational capital on this relationship were also examined and were found to be significant for only two CRM dimensions: technology-based CRM and CRM organization. Key customer focus and CRM knowledge management had no effect. The findings of this study offer important insights for owners and managers of SMEs, researchers, and policymakers to further understand the effects of relational capital and CRM on SMEs’ performance. SMEs should be encouraged to develop their CRM and relational capital to improve their performance.

Modelling strategic orientation dimensions and performance of small and medium enterprises

2019 ◽  
Vol 14 (3) ◽  
pp. 754-772 ◽  
Author(s):  
Seemant Kumar Yadav ◽  
Vikas Tripathi ◽  
Geetika Goel
Keyword(s):  
Small And Medium Enterprises ◽  
Structural Modeling ◽  
Strategic Orientation ◽  
Decision Makers ◽  
Interpretive Structural Modeling ◽  
Content Type ◽  
Manufacturing Performance ◽  
Different Dimensions ◽  
And Performance ◽  
Medium Enterprises

Purpose The purpose of this paper is to identify and rank different dimensions of strategic orientation and firm’s performance using the approach of interpretive structural modeling. Design/methodology/approach The study uses interpretative structural modeling and the MICMAC technique to establish a hierarchical relationship among different dimensions of entrepreneurial orientation and manufacturing performance of Indian SMEs. Findings The final outcome of interpretative structural modeling and the MICMAC analysis revealed a relationship between the variables under study along with the categorization of all in two different categories, depending upon their driving power and dependency, which decision-makers can also use while devising their strategy to improve performance. Originality/value To date, to the best of the authors’ knowledge, no significant contribution about such interrelationship was reported; therefore, this study is one of its types to fill this gap.

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