An Empirical Study on the Relationships between Entrepreneur and SMEs' Vitality Feng-hai Zhang, Xiao-wei Ma, Wei-hua Yang, Yue-kui Xu School of Management, Dalian Polytechnic University, Dalian, China (fhzhang66@163.com) Abstract - Entrepreneur is the driving force of survival and development of the small and medium-sized enterprises (SMEs), and is one of the most important factors which affect the vitality of SMEs. In this paper, we discussed entrepreneurs’ own accomplishment of knowledge and practical experience, social networks (relationships between entrepreneurs and external stakeholders), cohesion of entrepreneurs (relationships between entrepreneurs and internal employees) and so on. This empirical studyď€ on the relationships between these 3 dimensions, 4 elements and SMEs' vitality was conducted based on 267 Chinese SMEs. The results show that practical experience, accomplishment of knowledge, cohesion and social networks play a positive role in promoting the continuous growth of the SMEs, and have a positive effect on SMEs' vitality. Keywords - Entrepreneur, SMEs, Enterprises’ vitality I. INTRODUCTION SMEs play an increasingly important role in expanding employment, promoting economic growth, and promoting social harmony and stability. However, the general life of China's SMEs is not long, and the standard of their sustainable growth is also poor. According to a special research report titled Investigation and Recommendations of the SME Transformation and Innovation in Post-crisis Era, issued by the Central Committee of China Democratic National Construction Association at the end of 2010, demonstrated that, at present, the average life expectancy of China's SMEs was only 3.7 years, whereas, Europe’s and Japan’s were 12.5 years, America’s was 8.2 years, and 1/4 of 500 outstanding SMEs in Germany survived more than 100 years. Therefore, research on the problem of effect factors of SMEs' vitality in China has important practical significance. II. HYPOTHESES By reading the existing literature we found that, numerous studies had verified that there was a positive correlation between entrepreneur quality, entrepreneur competencies and enterprise performance [1]. Hanks and Chandler’s empirical studies showed a positive correlation between opportunity perception of entrepreneurs and enterprise performance, the management ability of entrepreneurs would bring about economic efficiency for the enterprise directly [2]. Project support: Humanities and Social Sciences project of the Education Department of Liaoning Province, The research on the elements of SMEs’ vitality, (Project Number: 2008Z035). Entrepreneur competencies and competitiveness of enterprises has a significant positive correlation [3]. The founder with rich entrepreneurial characteristics is the most important factor to promote high-growth enterprises' growth [4]. Entrepreneurs bring about performance through productive efforts, which meanwhile restrict the performance of entrepreneurial talents [5]. Innovation ability, and entrepreneurs' capacity of organizing, decision-making, communication, and learning had a significant positive impact on SMEs' performance [6][7]. Relational capabilities of entrepreneur has a significant positive correlation with enterprise innovation performance and business growth performance [8], and has a positive impact on enterprise performance [9][10]. Entrepreneur's qualities has a significant positive effect on the growth of innovative-styled SMEs [11][12]. In summary, most of the former empirical researches on entrepreneurs were mainly focused on the relationship between entrepreneur's quality or competencies and enterprise's performance [13][14]. Entrepreneur's qualities are entrepreneur's characteristics, accomplishment of knowledge, the synthesis of the style and ability of entrepreneurs manifested in the innovation activities. Therefore, in essence, the study on entrepreneur competencies can also be classified in the study on entrepreneur's qualities. Research on the qualities is very broad and difficult to focus on. However, the core for enterprise to survive and develop is the “human” and resources related to human closely. Entrepreneurs, the most important human resource of SMEs, are the soul and the commander-in-chief of enterprise's survival and development. And entrepreneurs themselves, relations between entrepreneurs and “human” outside the enterprise---external stakeholders, relations between them and “human” inside the enterprise---employees, have a direct effect on the enterprise's ability of survival and development. Therefore, on the basis of existing researches, we focus on considering the “human” factor in this paper, revolving around entrepreneurs as “social man”. That is to study the effect of entrepreneurs themselves, relationship between entrepreneurs and external “human”, relationship between entrepreneurs and internal “human” on SMEs' vitality1. Based on existing researches, we propose the hypotheses: entrepreneurs themselves, relationship between entrepreneurs and external “human”, relationship between entrepreneurs and internal “human” will play a positive role in promoting the sustainable growth of SMEs, and have a positive effect on Enterprises’ vitality. 1 In this paper, SMEs' vitality=F (Survival ability, Development ability). III. RESEARCH DESIGN AND METHODS A. Questionnaire Design and Data Collection This research mainly adopted questionnaire method, using Likert five points equidistant scale measurement. In this study we made the domestic manufacturing SMEs as the research object, and issued the questionnaires by the way of college students’ holiday social practice. Most of the interviewees were entrepreneurs or senior managers. We issued 500 copies of questionnaires and recovered 310 copies, and the recovery rate is 62 %, of which 267 copies were valid. The rest recovered 43 copies were regarded as invalid, because some items were not completed or there were a large number of items which selected the same choice, so the overall effective rate is 86.13%. Finally we made a statistical analysis of effective data by using of the SPSS13.0 data processing software. B. Measurement of Variables each variable’s weight temporarily, and just took the three’s mean value to calculate the vitality. The formula of enterprises’ vitality is Y= (a+b+c)/3. “Y” represents SMEs' vitality, “a” represents sales changes, “b” represents the enterprise’s age, and “c” represents the changes in the scale. IV. DATA ANALYSIS AND RESULTS A. Reliability Analysis First we made a reliability analysis of the whole questionnaire items. The following table is the analysis results. TABLE I RELIABILITY ANALYSIS OF THE QUESTIONNAIRE Item dimensions Cronbach Analysis of variance Analysis of variance α F P Total questionnaire 0.881 109.123 0.000 Measurement of Independent Variables According to the early research of domestic and foreign scholars, this study preliminary selected “Entrepreneurs’ number of times in creating new ventures”, “Entrepreneurs’ experience of management”, “Entrepreneurs’ educational background”, “Entrepreneurs’ number of times of participating in training”, “Rate of employees’ support”, “Degree of emphasis on employees’ views”, and “Network of social relations” as independent variables to carry on the questionnaire design, and then extracted common factors with the method of exploratory factor analysis in the data analysis phase. Finally, we used the method of regression analysis to study the relationship between the common factors (independent variables) and Enterprises’ vitality (dependent variable). Measurement of Dependent Variables SMEs' vitality contains the ability of survival and development. In this paper, we used sales changes of the last three years and enterprises’ age, these two aspects to reflect their ability of survival, and used enterprises’ scale changes in the last three years to reflect their ability of development. Sales changes were measured by Likertfifth measuring scale, that is to say, the greater the value, the more powerfully to reflect the ability of survival; enterprises’ age was represented as the fixed number of years from the creation to the time of this survey, that is to say, the longer the year, the more powerfully to reflect the ability of survival; enterprises’ scale changes were also measured by Likert-fifth measuring scale, that is to say, the bigger the number, the more powerfully to reflect the ability of development. Owing to 1.9 years average age of the sample enterprises (93% within three years), Likertfifth scale values range from 1 to 5, variables’ order of magnitude, such as sales volume changes, the change of age and scale, was considerable. So we didn’t consider Table I shows that Cronbach α value of the reliability is 0.881. It illustrates that consistency degree of measurement is higher. P value of F Test, that done by repeated measure analysis of variance, is less than 0.01, which shows that the repeated measure of the scale is good, so the reliability reaches an acceptable level. B. Exploratory Factor Analysis According to the quantifiable principles, we designed 9 options, of which 2 used descriptive statistics, and 7 were carried on by factor analysis. TABLE II KMO AND BARTLETT’S TEST Kaiser-Meyer-Olkin Measure of Sampling Adequacy. Bartlett's Test of Sphericity Approx. Chi-Square Sig. 0.600 1.192E3 0.000 KMO is 0.600, it shows that the data is suitable for factor analysis. The significance probability of χ2 statistics value is 0.000, less than 1%. It means that correlation coefficient matrix can not be seen as identity matrix, variables between each other is not independent, and they are correlative, so this data is suitable and needed for factor analysis[15]. We used Varimax orthogonal rotation to extract factors, and 4 factors were extracted from 7 question items. Table III is the results of factor loadings after orthogonal rotation matrix. According to the factor analysis, we extracted 4 factors; we named “Number of times in creating new ventures” and “Experience of management” Factor 1 “Practical experience”. In a similar way, “Entrepreneurs’ educational background” and “Number of times in training” were named Factor 2 “Accomplishment of knowledge”; “Rate of employee’s support”, “Degree of emphasis on employee’s views” were named Factor 3 “Cohesion”; and “Network of social relations” was named Factor 4 “Social networks”. TABLE III FACTOR EXTRACTION RESULTS OF ENTREPRENEUR Independent variable 1 Number of entrepreneurs venture Experience of management Entrepreneurs’ educational background Number of entrepreneurs training Rate of employee’s support Degree of emphasis on employee’s views Network of social relations Entrepreneur Accomplishment of knowledge Practical experience (Selves) SMEs' vitality Factor loading values 2 3 4 0.946 0.104 0.183 0.011 0.944 0.114 0.203 0.040 -0.104 0.947 0.150 0.008 0.248 0.916 0.081 -0.055 0.096 0.124 0.946 0.146 0.369 0.132 0.868 0.098 0.034 -0.039 0.172 0.984 Cohesion (Relations with the internal “human”) Social networks (Relations with the external “human”) Fig.1. Theoretical model V. RESULTS AND DISCUSSIONS Note: Factor extraction method: Principal Component Analysis. C. Regression Analysis and Hypothesis Testing A. Practical Experience and SMEs' Vitality SMEs' vitality was taken as the dependent variable, and the 4 factors above were taken as independent variables, we established the following multiple linear regression equation: TI=A1X1+A2X2+A3X3+A4X4+B TI represents SMEs' vitality, A1 … … A4 are regression coefficients, X1 represents Practical experience, X2 represents Accomplishment of knowledge, X3 represents Cohesion, X4 represents Social networks, B is constant. It can be seen from the regression analysis that, the effect value of practical experience on vitality is 0.722; practical experience is the most significant factor of entrepreneur element effect on SMEs' vitality. Work experience (including entrepreneurial experience) is helpful for entrepreneurs to make effective management and decisions, and they can learn lessons from failures, avoid detours and grasp the correct direction of the development accurately. In this research, 91% of entrepreneurs have 4 to 12 years of management experience; even 7.3% have more than 13 years of experience, 72.7% of entrepreneurs had 2 to 4 times of entrepreneurial experience. Obviously, practical experience of the entrepreneurs has an important effect on SMEs. TABLE IV REGRESSION ANALYSIS RESULTS ON ENTERPRISES’ VITALITY AND ENTREPRENEUR FACTORS Model Constant Factor 1 Factor 2 Factor 3 Factor 4 Non-standardized regression coefficients B Std. Error 3.509 0.722 0.293 0.548 0.140 0.045 0.045 0.045 0.045 0.045 t Sig. 77.836 15.987 6.482 12.123 3.104 0.000 0.000 0.000 0.000 0.000 Note: After adjustment: R2=0.634, F=113.549, P<0.01. According to Table IV, we saw that 4 independent variables came into the regression equation, and the coefficients of these factors were significantly different from 0 at the level of 0.01. It means these 4 factors could be used as explanatory variables in the model to explain the strength of SMEs' vitality. So we got the regression equation of entrepreneur and SMEs vitality: TI=0.722X1+0.293X2+0.548 X3+0.140 X4+3.509 According to the above analysis, we saw that Practical experience, Accomplishment of knowledge, Cohesion and Social networks would have a positive effect on SMEs' vitality, and all of hypotheses got to be verified. So the theoretical model could be constructed (Fig.1.). B. Accomplishment of Knowledge and SMEs' Vitality The effect value of accomplishment of knowledge on vitality is 0.293, which is the third significant factor of entrepreneur element effect on SMEs' vitality. A good educational background and follow-up study or training can help entrepreneurs have a more complete knowledge structure, acquire the modern management of scientific knowledge concerned with the work of corporate leadership, and master the professional knowledge concerned with business activities. These will help entrepreneurs to fulfill their management responsibilities better and manage their enterprises more effectively. Meanwhile, it reminds our entrepreneurs that only by establishing the concepts of lifelong learning, updating their knowledge and ideas constantly can them keep the enterprises built to last. C. Cohesion and SMEs' Vitality The effect value of cohesion on vitality is 0.548, which is the second significant factor of entrepreneur element effect on SMEs' vitality. Cohesion will help entrepreneurs maintain good relations with employee, pool the wisdom and efforts of everyone, and form a good cultural atmosphere. At the same time, it will be conducive for entrepreneurs to know how to judge and use people truly, let each person do his best according to his ability, give full play to the initiative, enthusiasm and creativity of each employee, enabling enterprises to maintain strong vitality. D. Social Networks and SMEs' Vitality The effect value of social networks on vitality is 0.140, which is the fourth significant factor of entrepreneur element effect on SMEs vitality. If entrepreneurs establish good interpersonal relationships with external stakeholders, not only can they significantly reduce the uncertainty faced in the process of enterprise growth, but also obtain a lot of entrepreneurial resources, alleviating the general problem of resource constraints in the growth of SMEs effectively. In a word, social networks can enhance their ability of adapting to complex and external environment, to achieve sustainable growth. VI. RESEARCH CONCLUSIONS The results show that practical experience, accomplishment of knowledge, cohesion and social networks have a positive role in promoting the continuous growth of the SMEs, and have a positive effect on SMEs' vitality. Practical experience made a greatest contribution to SMEs' vitality, followed by cohesion of the entrepreneurs. 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