Entrepreneurial characteristics and behaviour demonstration--a comparative study between small scale manufacturing entrepreneurs and service entrepreneurs.
Srinath, T.T. ; Supriya, M.V.
Introduction
While policy makers and small-scale entrepreneurs in manufacturing
attribute obsolete technologies and management practice as a major
barrier for growth and progress, the service sector without doubt has
proved that attitude, adaptability, understanding market realities and
upgradation of skills is the basis for survival and growth. New and
unknown entrants into the service business have exploded the myth that
entrepreneurship is a matter of inheritance and monopoly of a few
sections of the population. Rao and Pareek, (1978), have said that
through proper training, qualities can be acquired and developed in
individuals. Smith (1967), has suggested that certain constellations of
personal characteristics, background, motivation and goals differentiate
types of entrepreneurs. Sinha, (1969), stresses that human factors make
the difference between success and failure. Policy makers whose interest
in the small-scale entrepreneurs is fomented by potential for large
scale employment by them, are keen to harness human potential in all
sectors (Nagayya, 2005). Against this backdrop, with the increase of
investment in service businesses, policy makers are keen to know if
there are differences in background that result in differing
entrepreneurial disposition (Murugesan and Sankaran, 2005).
The present study attempts to understand the presence and intensity
of entrepreneurial characteristics among small-scale entrepreneurs. It
is noticed that entrepreneurs tend to fall into two distinct categories
namely manufacturing and service. Thus the study has focused its
attention on understanding differences between entrepreneurial
characteristics and behaviour demonstration by the two sectors.
Research Methodology
Operational definition
For purpose of the study the small-scale business is defined as an
organisation:
* With investment up to Indian Rupees 10 million in plant and
machinery and in select cases upto Indian Rupees 50 million.
* With business turnover of Indian Rupees 5 million to Indian
Rupees 300 million.
* In the manufacturing and service sectors currently in operation.
Scope of study
Data for ascertaining intensity of entrepreneurial characteristics
have been obtained from Coimbatore district, Tamil Nadu, India.
Coimbatore plays a significant role in the growth and evolution of
entrepreneurship in South India, particularly Tamil Nadu.
Sampling
The sample consists of an adult population of small-scale
entrepreneurs. 300 entrepreneurs from Coimbatore district were
interviewed to obtain data on characteristics. The sample consisted of
150 entrepreneurs from the manufacturing sector and 150 entrepreneurs
from the service sector. The samples were drawn from two categories,
namely, manufacturing and service. The types of industries covered under
manufacturing were dealing in, pumps, motors, wet grinders, textiles and
hosiery. In service the sample was drawn from hospitality, BPO,
software, retail and job workers. A non-probability convenience sampling
technique was adopted to draw the sample from the population.
Hypothesis
The major hypothesis of this study is: There is no significant
association in the presence of entrepreneurial characteristics between
small-scale entrepreneurs in the manufacturing and service sectors.
Development of interview schedules
An interview schedule was developed. It captured the background
demographic information. This interview schedule was used to study
entrepreneurial characteristics and behaviour demonstration.
Results and Analysis
In profiling entrepreneurs in the small-scale manufacturing and
service sector, the study generated data on education background of the
entrepreneur, the skill training that they may have acquired, education
of father and contribution to community. The study tried to establish a
possible connection between the presence of entrepreneurial
characteristics (EC) demonstrated by the entrepreneur as a dependent
variable, vis-a-vis the demographic factors. Table 1 represents that
there is a significant association between presence of EC and education
level in the service sector, of the total sample, 103 of the respondents from the service sector displayed high levels of EC, compared to 52
respondents in the manufacturing sector. The fact that the impact of
education in the manufacturing sector is not significant indicates that
the qualification level does not impact the presence of entrepreneurial
characteristic. In the service sector however, the case is reversed, as
many entrepreneurs, on enquiry revealed being first generation. This is
not so in the case of manufacturing where many respondents had stepped
into manufacturing businesses either as a 'hand me down' or as
part of family legacy.
It was found during interviews that a large part of respondents
from the manufacturing sector had retained family members in their
businesses, thus building an internal support mechanism. The leadership
style that entrepreneurs in the manufacturing sector tended to adopt was
'benevolent autocracy.' The low level of education seems to
encourage small-scale entrepreneurs in the manufacturing sectors to run
their businesses as personal empires. The presence of EC vis-a-vis skill
training required to perform job is tabulated in Table 2. The data shows
a significant association in manufacturing and an absence in service. It
suggests that entrepreneurs in manufacturing believe that skill training
i.e. being trained for the job has high value for them. This is also
supported by the fact that many entrepreneurs in manufacturing have had
prior exposure to the field of choice. In the case of service most
entrepreneurs being first generation they have not had any previous
skill training in the chosen field. What is also of value in this
understanding is that service entrepreneurs have attempted several
businesses before settling in to the current businesses. This sharply
contrasts with entrepreneurs in the manufacturing sector who have opted
for the current business without trying more vocations.
The relationship of the education of parents with the
entrepreneurial characteristics has been shown in Table 3. It can be
observed from Table 3, presence of EC vs. education of father bore a
strong significance in manufacturing but not in service. Both in
manufacturing and in service a large part of the respondent's
fathers had only studied up to Plus2 yet this had a significant impact
on the presence of EC only in the manufacturing sector. To reiterate, as
service sector entrepreneurs had set out on their own they were
unaffected by their parent's education level, while in
manufacturing the qualification of the father bore some influence. It is
deduced that many parents of entrepreneurs in the manufacturing sector
were 'craftsmen,' having learnt their trade in their previous
employment.
The contribution to the community has been shown in Table 4. It can
be seen from the Table 4, presence of EC vs. contribution to community
has a significant association in the case of manufacturing. The same is
not the case with service. Manufacturers are involved in local community
work such as temples; churches and the immediate environment. The
presence of labour unions within the organisations attracted them
towards community work. Service enterprises were not confined to any
particular geographical area while manufacturing enterprises tended to
cluster around similar terrain. Manufacturers were essentially located
in industrial belts. On the other hand, with service outfits were widely
spread. Therefore any happening in the region or environment resulted in
involvement of entrepreneurs in the manufacturing sector.
Conclusion
The study has revealed that entrepreneurs in the manufacturing and
service sector differ in their demonstration of entrepreneurial
characteristics owing to background factors. Succinctly education has
played an important part in the lives of small-scale entrepreneurs in
the service sector. Whereas, previous skill training, education of
father or lack of it, involvement in community are prominent in the
lives of small-scale entrepreneurs, in the manufacturing sector. Most
small-scale entrepreneurs in the service sector tend to be first
generation entrepreneurs and were therefore unaffected by past
experiences. Excessive attention to skill training, the limitation of
parental education and community dominance cause small-scale
entrepreneurs in manufacturing to remain myopic. Sentiment and
benevolence preoccupy small-scale entrepreneurs in the manufacturing
sector. This keeps them tied to their traditional businesses. As
small-scale entrepreneurs in the service sector had no previous
association with their businesses are nimble and able to shift focus
rapidly.
References
Murugesan V. and Sankaran A. (2005), "Entrepreneurial
Perception of Problems", SEDME Journal, Vol. 32 (2), June 2005.
Nagayya D. (2005), "Enhancing Competitiveness among Small and
Medium Enterprises," SEDME Journal, Vol. 32 (1), pp. 53-74, March,
2005.
Rao T. V. and Pareek U. (1978), "Developing Entrepreneurship:
A Handbook", New Delhi, Learning Systems.
Smith N. R. (1967), "The Entrepreneur and his Firm: The
Relationship between Type of Man and Type of Company", Bureau of
Business and Economic Research, Michigan State University Press, East
Lansing. Michigan.
Sinha T. N. (1996), "Human Factors in Entrepreneurship
Effectiveness", The Journal of Entrepreneurship, Vol.5 (1), pp.
23-29.
T.T. Srinath (1) M.V. Supriya (2)
(1) Organisational and Behavioural Consultant, 38, First Main Road,
Raja Annamalaipuram, Chennai--600 028, Tamilnadu, India.
(2) Department of Management Studies, College of Engineering,
Guindy, Anna University, Chennai--600 025, Tamilnadu,India.
(1) E-mail: ttsrinath@vsnl.net, (2) E-mail: mvsupriya@hotmail.com
Table 1: Presence of EC vs. Educational Level
Education Level Type of Industry Intensity of Characteristics
Present
High Medium
Below 10+2 Manufacturing 18 23
Service 41 13
10+2 Manufacturing 12 8
Service 15 6
Graduation Manufacturing 14 11
Service 38 16
Post Graducation Manufacturing 5 5
Service 3 5
Professional Manufacturing 3 5
Service 6 3
Total Manufacturing 52 52
Service 103 43
Manufacturing
Chi-Square Value 7.47432
Education Level Intensity of Characteristics
Present
Low Total
Below 10+2 17 58
-- 54
10+2 4 24
-- 21
Graduation 12 37
1 55
Post Graducation 5 15
2 10
Professional 8 16
1 10
Total 46 150
4 150
Service
Chi-Square Value 20.1523 *
* Significant at 0.01 level of significance
Table 2: Presence of EC vs. Skill Training
Intensity of Skill Training
Characteristic
Present Manufacturing Service Manufacturing Service
Yes No Yes No Total Total
High 12 40 86 17 52 103
Medium 7 45 36 7 52 43
Low 10 36 2 2 46 4
Total 29 121 124 26 150 150
Manufacturing Service
Chi-Square Value 16.680 * 3.0616
* Significant at 0.01 level of significance
Table 3: Presence of EC vs. Education of Father
Education of Father Type of Industry Intensity of Characteristics
Present
High Medium Low
Professional Manufacturing -- 6 2
Service 1 2 --
Post Graduation Manufacturing 4 3 7
Service 1 - -
Graduation Manufacturing 2 5 5
Service 9 3 1
10+2 Manufacturing 21 9 11
Service 25 7 2
Below 10+2 Manufacturing 25 29 21
Service 67 31 1
Total Manufacturing 52 52 46
Service 103 43 4
Manufacturing Service
Chi-Square Value 16.841 * 7.45
Education of Father Intensity of Characteristics Present
Total
Professional 8
3
Post Graduation 14
1
Graduation 12
13
10+2 41
34
Below 10+2 75
99
Total 150
150
* Significant at 0.01 level of significance
Table 4: Presence of EC vs. Contribution to Community
Intensity of Skill Training
Characteristic Present
Manufacturing Service
Yes No Yes No
High 15 37 42 61
Medium 28 24 24 19
Low 18 28 2 2
Total 61 89 68 82
Manufacturing
Chi-Square Value 6.7995 *
Intensity of
Characteristic Present Manufacturing Service
Total Total
High 52 103
Medium 52 43
Low 46 4
Total 150 150
Service
Chi-Square Value 2.80400
* Significant at 0.01 level of significance