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International Journal of Innovative Research and Advanced Studies (IJIRAS)
Volume 3 Issue 13, December 2016 ISSN: 2394-4404
By The People For The People: People’s Influence On Students In
Selecting Technical Educational Institute
Mahajan P. T.
Research Scholar, Registrar,
R. C. Patel Institute of Technology, Shirpur,
Maharashtra, India
Golahit S. B.
Associate Professor, Department of Economics,
KVPS‟s S.P.D.M. College, Shirpur,
Maharashtra, India
I. INTRODUCTION
Lewis and Smith observed that every college and
university has a mission but very few fully identify who they
serve [1]. Customers of educational organization are classified
as Internal customers; students, staff and management and
External customers such as parents, other schools and
colleges, alumni and community [2]. The college searching
process is a long one. McDonough (2004) stated that the
transition/searching process begins during the middle school
years. Students begin to develop college awareness and ideas
of academic aspirations. During 10th
(SSC) and 12th
(HSC)
students began looking for schools that meet their needs
socially and academically (McDonough 2004).
After searching internal sources, if the student realizes
that the information gathered is not enough to base on and
decide, external sources of information are considered.
According to Kotler and Armstrong (2008) the sources of
Abstract:
Purpose: There is a rapid growth of technical education in last decade in terms of the no. of institutes and the intake
capacity in India. However, there is noticeable gap in between the actual no. of enrollments and intake capacity of these
institutes. In Maharashtra 41% of seats were vacant in 2016. ‘People’ factor of service mix is very important mix of
education services. The purpose of this paper is to highlight the people factor that influence students in selecting technical
educational institute of their choice.
Design methodology: A qualitative research was conducted with a survey of students those who are presently enrolled
(pre-students) and those who have completed their study (post-students) belonging to the institutes offering technical
education affiliated to the North Maharashtra University, Jalgaon.
Findings: The study found that there are some reference groups/influencers related to students and institutes that
have a direct influence on the students in the making decision of selection of technical education. Their satisfaction of
this decision also has relationships with the influencers.
Research limitations: The survey is limited to the students of technical education belonging to North Maharashtra
University, Jalgaon.
Practical implications: The marketing segmentation of technical education will be better if we consider these
reference groups (people mix) as an influencer. It is found that there are some People Mix - influencers - related to the
institute and previous schools along with peoples associated with the students. So, it is useful to consider all these
influencers rather than considering only traditional students related influencers. This article provides empirical support
for the importance of interpersonal influence for educational choices. Different communication strategies can be used for
these influencers who motivates students towards their decision in selecting technical education. The paper represents
new form of influencers that motivates students in selecting their technical educational institute.
Keywords: People mix, influencers, Technical Education, North Maharashtra University, Jalgaon.
Page 279 www.ijiras.com | Email: contact@ijiras.com
International Journal of Innovative Research and Advanced Studies (IJIRAS)
Volume 3 Issue 13, December 2016 ISSN: 2394-4404
information available to prospective customers includes: (i)
personal non-marketer controlled sources. These include
family, friends, acquaintances, teachers, colleagues etc. (ii)
personal marketer controlled sources whose examples include
sales representatives; (iii) non-personal non-marketer
controlled. Publicity in the mass media is an example of this
source; (iv) non-personal marketer controlled, examples
include but not limited to advertisements, prospectuses,
websites. Family opinions, peer influence, secondary school
support, and academic preparation are the examples which
ultimately influence students‟ decisions to attend institute [3].
People Factor such as; Parents, Brother & Sisters,
Relatives, Friends/Peer, Current & Post students of institute,
previous School/Coaching Teachers, Staff and Management
People of Institute, act as a reference group for the pre-
students (prospective students) to take their decision on
institute selection. Reference Group is the group to which the
individual relates or aspires to relate himself or herself
psychologically and a source for framing his or her
experiences, perceptions, cognition, and ideas of self. Robert
K. Merton hypothesized that individuals compare themselves
with reference groups of people who occupy the social role to
which the individual aspires [4]. There are several people who
influence a student‟s institute decision, but their degree of
impact on students varies from school to school [5].
II. PEOPLE FACTOR OF SERVICE MIX
The tradition four Ps marketing approaches work well for
goods but additional elements require attention in service
business; People, Physical Evidence and Process. Because
most services are provided by the people and experienced by
the people by their motivation and behavioral characteristics,
they make a huge difference in customer satisfaction [6]. This
is the main principle of service management; „By the people
for the people‟.
PARENTS: The home setting is a particularly rich and
ongoing source of information for college-educated families
[7]. The collision between the worlds of institute and of home
and family must be understood by institutions as lower-
income students become more prevalent [8]. Many studies
have connected parent support and encouragement to institute
plans [9]. Parents are main source of financial aspects;
however, their support is determined by the education level.
When parents lack firsthand “institute knowledge” and have
limited financial and social resources, they consequently have
a lessened capacity to facilitate institute planning [10].
According to Hossler, Schmit and Vesper (1999), parental
support was a key factor in influencing students' aspirations to
go onto college. Typically, students whose parents did not
attend college/institute graduation find it more difficult to
address the issues related to choose, chances, and application
needs when it comes to college. Typically, these students
begin thinking about institute much later than do students who
have parents and family members who have attended higher
education institutions.
BROTHERS & SISTERS: When parents are not educated
or unknown about the institutes, the supporting information is
provided by the siblings. However, graduate elder siblings or
undergoing graduate siblings have a major role in the decision
of selection. In rural area where the parents are uneducated
and are unable to provide information, elder siblings play a
vital role even; they become a financial source for the pre-
students if they are employed.
RELATIVES: Relatives are contacted, particularly those
are residing in urban area, as they supposed to have more
knowledge on the institutes and programs. Students contact
their relatives for getting information on cost involved in the
related education and for knowing number of
colleges/institutes available in the urban area and compare
them with the budget.
FRIENDS / PEER: If students are exposed to other
individuals such as friends, who have studied in that institute,
students will often rely on those individual for their valuable
guidance on campus life, infrastructure, teaching
methodology, examination pattern etc. A peer group of
friends, is both a social group and a primary group of people
who have similar interests, age, background, or social status.
They prefer to talk about school and their careers with their
parents and other interpersonal relationships with their peers
[11]. Peer influence is dependent upon variables of friendship
closeness, high school track placement, race, and gender
composition of the relationship [12]. Intuition reinforces the
finding that peers who are academically-oriented are an asset
for career aspirations [13]. Peer influence for these youths
appears to be the most influential factor in the decision about
institute [14]. But if those peer effects are asymmetric so that
students at different levels of behavior or characteristics are
influenced differently by their interaction with others, then
peer effects introduce an issue of economic efficiency, too.
Taylor (1992) is of the belief that friends' advice is the major
source of information influencing students' choice of tertiary
educational institutions.
SCHOOL / COACHING TEACHER: Students do report
the desire for a quality high school counselor who might guide
them through a process that seems daunting, complicated and
time-consuming [15]. School counsellor can increase the
confidence of families who may otherwise shy away from the
institute. Parents' discussions with counselors are a significant
step toward in making institute decision, which highlights the
benefits of cultivating early positive parent-counselor
relationships [16]. Students who do not have family members
who have attended institute often look towards the school as
their main support. The school creates the environment closest
to the institute setting for these students. School and coaching
teachers act as a career advisor.
STAFF OF INSTITUTE: While there are undoubtedly
numerous factors that influence to enter the technical
education, the relationships built during formal and informal
counselling exercises adopted by the institute can affect
personal decisions. Counseling by institute staff is necessary
for students when preparing for institute, as they are the
measures of service delivery. "We know that counselors
influence students' aspirations, plans, enrollments, and
financial aid knowledge. Meeting frequently with a counselor
increases a student's chance of enrolling in a four-year
institute, and if students, parents, and counselors work
together and communicate clearly, students' chances of
enrolling in college significantly increase". An institution's
Page 280 www.ijiras.com | Email: contact@ijiras.com
International Journal of Innovative Research and Advanced Studies (IJIRAS)
Volume 3 Issue 13, December 2016 ISSN: 2394-4404
own members of staff, through telephone conversations and
email correspondences to prospective students, also play a
major role in influencing student choice decision.
MANAGEMENT OF INSTITUTE: Management people
are the in-direct source of influencers. These people are the
main service providers in the education services. Here, pre-
students may not approach management people, however, pre-
students have a perceived value or an image for the
management and brand of the institute. Management people
communicate their culture, style and brand through their
publications, sponsored programs, paid and non-paid sources
of advertisements and social events. Pasternak (2005) pointed
out that the information given by the management through
institution's own printed materials is also very influential in
student choice process. Despite numerous sources of
information, there is still a general lack of adequate
information for prospective students and their parents to make
meaningful comparisons among universities offering the same
or similar academic program, due to poor and less informative
and promotional materials designed by the managements of
educational institutions.
CURRENT-STUDENTS (PROSPECTIVE STUDENTS):
Current-students are the real experience holder of the service
which is offered by the institute as they are currently in touch
with the service and facilities of the institute. They are the real
word of mouth for the institute as well as for the pre-students.
But, their positive message delivered to the pre-student will
depend on the type of experience they are receiving. However,
families reveal a growing trend in which current-students
commonly identify parental encouragement as a primary
reason for deciding selection of institute [17]. Pre-student
approaches current-students to update recent information
regarding the institute as all other resources may provide old
information regarding the institute. Again, they may verify the
information provided by the other resources with the current-
students. Pre-students often associate themselves with other
individuals who have experienced the same cultural and social
experiences and compare their institute going behaviors with
those who are attending institute now.
ALUMNI (POST-STUDENTS): Alumni are the finished
product of the educational institutes. They had experienced a
service and are in the perfect position to tell the value of that
service in the present market. Alumni share common
characteristics and interest with the pre-students. Pre-students
take information from the Alumni for the future scope and
value of educational program provided by the institute.
However, opinion and the information provided may be
different from alumni to alumni depending on the services and
the level of satisfaction the alumni received from institute.
PRE-STUDENT THEMSELVES: Pre-students take their
decision mostly after collecting all information from all
available sources and compares them with their personal
factors. Most pre-students after collecting primary information
from school teachers, friends, family prefer to visit directly to
the concerned institute to verify physical evidence. They
interact with administrative staff as well as faculty of the
institute on academic or financial aspects. Pre-students look
for institute settings that are consistent with their own
environment and culture. Most of time, pre-student himself is
not capable of taking decision without making a contact with
the network of information sources. They make coalition, a
temporary alliance to get this information. Coalition is defined
as a group of an interacting group of individuals, deliberately
constructed, independent of the formal structure, lacking its
own internal formal structure, consisting of mutually
perceived membership, issue oriented, focused on a goal or
goals external to the coalition and requiring concerted member
action.
CONCEPTUAL MODEL – SERVICE MIX: BY THE
PEOPLE FOR THE PEOPLE
Institute Influencer
Need Recognition Information Search
Evaluation of
Alternatives
Selection
by Student
Satisfaction
Students Related Influencer
Pre-Student (Self)
Parents
Brothers & Sisters
Relatives
Friends
Management
Staff
Current-Students
Post-Students
Previous
School/Coaching Influencer
School Teachers
Coaching Teachers
Reference Group
Figure 1: Conceptual Model adopted and modified from Riley
- A buyer’s decision-making process, 2012
III. OBJECTIVE AND RESEARCH METHODOLOGY
The objective of this research was to find out people‟s
influence, which is a referred group for a student, in selection
of technical educational institute for a student and how is the
of influence when compared to satisfaction of their decision of
selection. A qualitative research through a survey was made. It
comprised of a structured questionnaire sent through e-mail to
the current-students enrolled and passed-out students (alumni)
belonging to the technical institutes affiliated to North
Maharashtra University. Sample size (n) was calculated at
95% Confidence Level for which Standard Normal Variate (Z)
is 1.96 & at Standard Error (e) of 0.03 by ;
where n = Sample Size to be used for this study, N = unknown
population, p = Estimated Portion of Population N. For p =
90%, „n‟ comes out to be 553. However, sample size of 641
was selected by quota sampling from technical institutes
offering different programs in engineering, pharmacy and
management. The questionnaire comprised of demographic
factors of students with questions measuring influencers
impact on the selection of technical institute on a scale ranging
from 0 to 5, where value zero, was no influence at all and
value five, was most influence. The demographic
characteristics of the sample is described as below;
BY GENDER
Male: 429; Female: 212
BY NATIVE PLACE
District: 156; Taluka: 274; Village: 211
BY TECHNICAL EDUCATIONAL PROGRAM
Engineering: 474; Pharmacy: 111; Management: 56
Page 281 www.ijiras.com | Email: contact@ijiras.com
International Journal of Innovative Research and Advanced Studies (IJIRAS)
Volume 3 Issue 13, December 2016 ISSN: 2394-4404
HYPOTHESIS
H1: The people factor of service mix influence the
student‟s decision of selecting a technical education.
H2: Satisfaction due the decision of selecting a technical
institute is affiliated with influence of people mix
(influencers).
IV. DATA INTERPRETATION AND FINDINGS
INFLUENCE OF PEOPLE MIX (INFLUENCERS)-
(TESTING H1)
Descriptive statistics for the responses collected on the
influence of people mix in selecting technical educational
institute are summarized in following table & bar char with
their mean, standard deviation, variance & coefficient of
variance.
Figure 2
Influence
rs
Descriptive Statistics One-Sample T test of µ=3 vs
µ≠3
N Mean SE
Mean
Std.
Dev
Varian
ce
Coef.
Var
95% CI T P
Parents 641 3.143
5
0.0711 1.8005 3.2419 57.28 (3.0039,
3.2832)
2.02 0.044
Siblings 641 2.454
0
0.0752 1.9035 3.6233 77.57 (2.3063,
2.6016)
-7.26 0.000
Relatives 641 2.159
1
0.0726 1.8379 3.3778 85.12 (2.0166,
2.3017)
-11.58 0.000
Peer/Frie
nds
641 2.405
6
0.0730 1.8492 3.4196 76.87 (2.2622,
2.5490
-8.14 0.000
Current-
Students
641 2.221
5
0.0753 1.9066 3.6352 85.82 (2.0736,
2.3694)
-10.34 0.000
Alumni 641 2.049
9
0.0737 1.8668 3.4850 91.07 (1.9051,
2.1947)
-12.89 0.000
Previous
Teachers
641 1.856
5
0.0734 1.8594 3.4575 100.1
6
1.7123,
2.0007)
-15.57 0.000
Institute’
s Staff
641 2.327
6
0.0766 1.9386 3.7581 83.29 (2.1773,
2.4780)
-8.78 0.000
Manage
ment
People
641 3.429
0
0.0662 1.6757 2.8078 48.87 (3.5342,
3.7856)
10.31 0.000
Pre-
Students
themselv
es
641 3.659
9
0.0640 1.6211 2.6279 44.29 (3.2991,
3.5590)
6.48 0.000
Table 1: Descriptive statistics for testing hypothesis H1 with
One-Sample T test
From the Table 1, the student‟s decision of selection is
most influenced by pre-student themselves (M=3.66,
SD=1.62), followed by management people and brand (3.43,
1.68) and parents (3.14, 1.80). Pre-students are less influenced
by previous (school/coaching) teachers (1.86, 1.86), Alumni
(M=2.04, SD=1.87), Relatives (M=2.15, SD=1.83) among all
people factor of service mix. Other people mix such as Sibling
(M=2.45, SD=1.9), Peer/friends (M=2.40, SD=1.85), Current-
students (M=2.22, SD=1.91) and Staff of Institute (M=2.32,
SD=1.94) have moderate influence on the selection of
technical educational institute. From the table µ≠3, at
confidence level 95%. Hence H1 is accepted which state that
the people factor of service mix influence the student‟s
decision of selecting a technical education.
SATISFACTION OF DECISION OF SELECTION VS
INFLUENCERS - (TESTING H2)
Now, to know whether the satisfaction of decision for the
selection of technical educational institute has a relationship
with the influencers, the responses collected on satisfaction
level; completely satisfied, somewhat satisfied, somewhat dis-
satisfied and completely dis-satisfied, were measured and
were found as shown in following bar chart with their mean.
Figure 3
From the above bar chart, it is observed that the students
are most Completely Satisfied when the decision is influenced
by the Pre-students themselves (Mean=4), followed by
Management People and brand (Mean=3.7) and Parents
(Mean=3.3). However, the students are most Completely Dis-
satisfied when their decision of selection of technical
educational institute is influenced by Pre-students themselves
(Mean=4), Alumni (Mean=1.5), Management People
(Mean=1.4). Thus it can be seen that there is relationship of
satisfaction of decision taken with the influencers those who
have motivated towards that decision.
To prove statistically two different tests were conducted
through Minitab Statistical Software (Minitab 17). The first
test, Chi-Square test was conducted for finding association of
each influencers with the level of satisfaction of decision. The
Person Chi-square was calculated at significance at p<0.05 for
whole influencers combined vs satisfaction of decision for
selection of technical educational institute. The second test,
General MANOVA (Multi-analysis of Variance) was
conducted to find F-value & p-value at significance at p<0.05.
The test results have shown that all influencers have a
relationship with satisfaction level of decision for selection of
technical educational institute. The results are shown below
(Table 2).
Test for testing Hypothesis 2
Chi-square test
for Association
General MANOVA
Influencers p-value F-value p-Value
(Significance Level)
Parents 0.007 4.31 0.014
Siblings 0.000 8.57 0.000
Relatives 0.021 2.93 0.050
Peer/Friends 0.002 8.13 0.000
Current- 0.005 9.20 0.000
Page 282 www.ijiras.com | Email: contact@ijiras.com
International Journal of Innovative Research and Advanced Studies (IJIRAS)
Volume 3 Issue 13, December 2016 ISSN: 2394-4404
Students
Alumni 0.000 12.26 0.000
Previous
Teachers
0.001 7.78 0.000
Institute’s Staff 0.000 10.93 0.000
Management
People
0.000 17.11 0.000
Pre-Students
themselves
0.000 14.50 0.000
People Mix -
Combined
Pearson Chi-
Square = 29.919,
DF = 18,
p-value = 0.038;
Significant at p <
0.05
Wilks‟: F value 3.325, p-
value 0.000
Significant at p < 0.05
Table 1: Chi-square test for Association and General
MANOVA for Hypothesis testing H2
H2 hypothesis is accepted as p-value from Chi-square test
for Association and General MANOVA are p=0.038 and
p=0.00 with F-value=3.325 respectively, both are significant
at p<0.05 when all influencers combined. Among all
influencers, the influence of Management People (F=17.11,
p=0.00), Pre-students themselves (F=14.15, p=0.00), Alumni
(F=12.26, p=0.00), Institute‟s Staff (F=10.93, p=0.00) and
Current-students (F=9.20, p=0.00) have high relationships.
This means that their level of satisfaction for a decision is
highly associated when their decision for selection are
influenced by these influencers. On the other hand, the level of
satisfaction with their decision are less associated when their
decision has influenced by Relatives (F=2.93, p=0.50) and
Parents (F=4.31, p=0.14)
V. SUMMERY AND CONCLUSIONS
In educational services, „People Mix‟ plays a vital role as
„People‟ here are the service providers (management people,
staff) as well as service receivers (students). In today‟s
scenario where technical education is gaining it‟s important
due to its vital contribution towards economic growth of the
country, it is important for the technical institutes to whom to
serve and when, where and how? At the same time, institutes
should know what sources students and the influencers are
using to search institutes. Without guidance from a friend,
teacher or a family member, many students fear to take
decision at their own, even if they decide to take at their own,
they end up with the same setting.
It is important to know institute‟s strongest influencers, so
that the institute can create a communication strategy that
incorporates them into the outreach process. For example, if
professors are one of strongest influencers, make sure they are
sharing institute‟s strategic value messages when they have
conversations with prospective students. If parents are
strongest influencers, make sure that the institute has an
appropriate communication channels set up with the parents.
Schools and school teachers can be targeted by delivering
seminars on career counselling, through technical educational
awareness programs, education fairs at their places. Alumni
and Current-student‟s relationship are the assets without cost
for the institutes in term of „word of mouth‟ because their
communication is based on true experience of the service.
Social media (engagement through Facebook pages, LinkedIn)
is an important part of alumni, current-students and pre-
students‟ engagement. It‟s a means to stay connected for long
way and forever.
It is now a must, to build relationships, not just links and
not just clicks! Relationship building though, is a toughest job,
as meeting people face to face and having a cup of coffee with
them might be tougher, but with today‟s technology sources
the world might be not enough to build relationship. The
institutes must identify the tools to connect and re-connect the
influencers. All influencers are needed to work to explore all
possible avenues towards the growth and development of
technical education by motivating the prospective students
towards technical education. However, the institutes those
who will act a lubricant for relationships will only survive,
after all „for the people by the people‟ cannot run without
bonds and relationships.
REFERENCES
[1] Lewis RG and Smith DH. op.cit
[2] A Magaud and Robert M Krone (2002). Managing quality
for higher education: A Systems Perspective. P 70-72.
ISBN 978-87-403-0205-9
[3] Bui, K. (2002). First-generation college students at a four-
year university: Background characteristics, reasons for
pursuing higher education, and first-year experiences.
College Student Journal, 33(1).
[4] Pike & Kuh (2005). First and second-generation college
students: A comparison of their engagement and
intellectual development. The Journal of Higher
Education. 76(3).
[5] Gerald Holton (2004). Robert K. Merton - Biographical
Memoirs. Proceedings of the American Philosophical
Society. 148 (4): 506–517.
[6] Website Source: eduventures.com/2014/04/drives-
students-enrollment-decisions
[7] Philip Kotler (2002). Marketing Management. Prentice
Hall of India. New Delhi, Edition 11. 2002. ISBN-81-
203-2088-2
[8] McDonough P.M. (1997). Choosing colleges: How social
class and schools structure opportunity. Albany, New
York: State University of New York Press.
[9] Howard A. & Levine A. (2004). Where are the poor
students? A conversation about social class and college
attendance. About Campus, 19-24.
[10]Conklin M.E., & Dailey A.R. (1981). Does consistency of
parental encouragement matter for secondary students?
Sociology of Education, 54, 254-262.
[11]Thayer P.B. (2000). Retention of students from first
generation and low income backgrounds. (ERIC
ED446633). Opportunity Outlook.
[12]Steinberg and Laurence (2010). Adolescence. New York:
McGraw Hill. pp. 1–434. ISBN 978-0-07-353203-5
[13]Hallinan M.T. & Williams R.A. (1990). Students'
characteristics and the peer-influence process. Sociology
of Education, 63(2), 122-132.
[14]Garg R., Melanson S., & Levin E. (1990). Educational
aspirations of male and female adolescents from single-
parent and two biological parent families: A comparison
Page 283 www.ijiras.com | Email: contact@ijiras.com
International Journal of Innovative Research and Advanced Studies (IJIRAS)
Volume 3 Issue 13, December 2016 ISSN: 2394-4404
of influential factors. Journal of Youth & Adolescence.
36(8), 1010-1023.
[15]Sokatch A. (2006). Peer influences on the college-going
decisions of low socioeconomic status urban youth.
Education and Urban Society. 39(1), 128-146.
[16]Maduakolam I. (2000). Career development theories and
their implications for high school career guidance and
counseling. High School Journal, 83(2), 28.
[17]Bryan J., Holcomb, McCoy C., Moore-Thomas C., &
Day-Vines, N. (2009). Who sees the school counselor for
college information? A national study. Professional
School Counseling. 12(4), 280-291.
[18]Saenz V.B., Hurtado D., Barrera D., Wolf D., and Yeung
F. (2007). First in my family: A profile of first-generation
college students at four year institutions since 1971.
Higher Education Research Institute.

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By The People For The People: People’s Influence On Students In Selecting Technical Educational Institute

  • 1. Page 278 www.ijiras.com | Email: contact@ijiras.com International Journal of Innovative Research and Advanced Studies (IJIRAS) Volume 3 Issue 13, December 2016 ISSN: 2394-4404 By The People For The People: People’s Influence On Students In Selecting Technical Educational Institute Mahajan P. T. Research Scholar, Registrar, R. C. Patel Institute of Technology, Shirpur, Maharashtra, India Golahit S. B. Associate Professor, Department of Economics, KVPS‟s S.P.D.M. College, Shirpur, Maharashtra, India I. INTRODUCTION Lewis and Smith observed that every college and university has a mission but very few fully identify who they serve [1]. Customers of educational organization are classified as Internal customers; students, staff and management and External customers such as parents, other schools and colleges, alumni and community [2]. The college searching process is a long one. McDonough (2004) stated that the transition/searching process begins during the middle school years. Students begin to develop college awareness and ideas of academic aspirations. During 10th (SSC) and 12th (HSC) students began looking for schools that meet their needs socially and academically (McDonough 2004). After searching internal sources, if the student realizes that the information gathered is not enough to base on and decide, external sources of information are considered. According to Kotler and Armstrong (2008) the sources of Abstract: Purpose: There is a rapid growth of technical education in last decade in terms of the no. of institutes and the intake capacity in India. However, there is noticeable gap in between the actual no. of enrollments and intake capacity of these institutes. In Maharashtra 41% of seats were vacant in 2016. ‘People’ factor of service mix is very important mix of education services. The purpose of this paper is to highlight the people factor that influence students in selecting technical educational institute of their choice. Design methodology: A qualitative research was conducted with a survey of students those who are presently enrolled (pre-students) and those who have completed their study (post-students) belonging to the institutes offering technical education affiliated to the North Maharashtra University, Jalgaon. Findings: The study found that there are some reference groups/influencers related to students and institutes that have a direct influence on the students in the making decision of selection of technical education. Their satisfaction of this decision also has relationships with the influencers. Research limitations: The survey is limited to the students of technical education belonging to North Maharashtra University, Jalgaon. Practical implications: The marketing segmentation of technical education will be better if we consider these reference groups (people mix) as an influencer. It is found that there are some People Mix - influencers - related to the institute and previous schools along with peoples associated with the students. So, it is useful to consider all these influencers rather than considering only traditional students related influencers. This article provides empirical support for the importance of interpersonal influence for educational choices. Different communication strategies can be used for these influencers who motivates students towards their decision in selecting technical education. The paper represents new form of influencers that motivates students in selecting their technical educational institute. Keywords: People mix, influencers, Technical Education, North Maharashtra University, Jalgaon.
  • 2. Page 279 www.ijiras.com | Email: contact@ijiras.com International Journal of Innovative Research and Advanced Studies (IJIRAS) Volume 3 Issue 13, December 2016 ISSN: 2394-4404 information available to prospective customers includes: (i) personal non-marketer controlled sources. These include family, friends, acquaintances, teachers, colleagues etc. (ii) personal marketer controlled sources whose examples include sales representatives; (iii) non-personal non-marketer controlled. Publicity in the mass media is an example of this source; (iv) non-personal marketer controlled, examples include but not limited to advertisements, prospectuses, websites. Family opinions, peer influence, secondary school support, and academic preparation are the examples which ultimately influence students‟ decisions to attend institute [3]. People Factor such as; Parents, Brother & Sisters, Relatives, Friends/Peer, Current & Post students of institute, previous School/Coaching Teachers, Staff and Management People of Institute, act as a reference group for the pre- students (prospective students) to take their decision on institute selection. Reference Group is the group to which the individual relates or aspires to relate himself or herself psychologically and a source for framing his or her experiences, perceptions, cognition, and ideas of self. Robert K. Merton hypothesized that individuals compare themselves with reference groups of people who occupy the social role to which the individual aspires [4]. There are several people who influence a student‟s institute decision, but their degree of impact on students varies from school to school [5]. II. PEOPLE FACTOR OF SERVICE MIX The tradition four Ps marketing approaches work well for goods but additional elements require attention in service business; People, Physical Evidence and Process. Because most services are provided by the people and experienced by the people by their motivation and behavioral characteristics, they make a huge difference in customer satisfaction [6]. This is the main principle of service management; „By the people for the people‟. PARENTS: The home setting is a particularly rich and ongoing source of information for college-educated families [7]. The collision between the worlds of institute and of home and family must be understood by institutions as lower- income students become more prevalent [8]. Many studies have connected parent support and encouragement to institute plans [9]. Parents are main source of financial aspects; however, their support is determined by the education level. When parents lack firsthand “institute knowledge” and have limited financial and social resources, they consequently have a lessened capacity to facilitate institute planning [10]. According to Hossler, Schmit and Vesper (1999), parental support was a key factor in influencing students' aspirations to go onto college. Typically, students whose parents did not attend college/institute graduation find it more difficult to address the issues related to choose, chances, and application needs when it comes to college. Typically, these students begin thinking about institute much later than do students who have parents and family members who have attended higher education institutions. BROTHERS & SISTERS: When parents are not educated or unknown about the institutes, the supporting information is provided by the siblings. However, graduate elder siblings or undergoing graduate siblings have a major role in the decision of selection. In rural area where the parents are uneducated and are unable to provide information, elder siblings play a vital role even; they become a financial source for the pre- students if they are employed. RELATIVES: Relatives are contacted, particularly those are residing in urban area, as they supposed to have more knowledge on the institutes and programs. Students contact their relatives for getting information on cost involved in the related education and for knowing number of colleges/institutes available in the urban area and compare them with the budget. FRIENDS / PEER: If students are exposed to other individuals such as friends, who have studied in that institute, students will often rely on those individual for their valuable guidance on campus life, infrastructure, teaching methodology, examination pattern etc. A peer group of friends, is both a social group and a primary group of people who have similar interests, age, background, or social status. They prefer to talk about school and their careers with their parents and other interpersonal relationships with their peers [11]. Peer influence is dependent upon variables of friendship closeness, high school track placement, race, and gender composition of the relationship [12]. Intuition reinforces the finding that peers who are academically-oriented are an asset for career aspirations [13]. Peer influence for these youths appears to be the most influential factor in the decision about institute [14]. But if those peer effects are asymmetric so that students at different levels of behavior or characteristics are influenced differently by their interaction with others, then peer effects introduce an issue of economic efficiency, too. Taylor (1992) is of the belief that friends' advice is the major source of information influencing students' choice of tertiary educational institutions. SCHOOL / COACHING TEACHER: Students do report the desire for a quality high school counselor who might guide them through a process that seems daunting, complicated and time-consuming [15]. School counsellor can increase the confidence of families who may otherwise shy away from the institute. Parents' discussions with counselors are a significant step toward in making institute decision, which highlights the benefits of cultivating early positive parent-counselor relationships [16]. Students who do not have family members who have attended institute often look towards the school as their main support. The school creates the environment closest to the institute setting for these students. School and coaching teachers act as a career advisor. STAFF OF INSTITUTE: While there are undoubtedly numerous factors that influence to enter the technical education, the relationships built during formal and informal counselling exercises adopted by the institute can affect personal decisions. Counseling by institute staff is necessary for students when preparing for institute, as they are the measures of service delivery. "We know that counselors influence students' aspirations, plans, enrollments, and financial aid knowledge. Meeting frequently with a counselor increases a student's chance of enrolling in a four-year institute, and if students, parents, and counselors work together and communicate clearly, students' chances of enrolling in college significantly increase". An institution's
  • 3. Page 280 www.ijiras.com | Email: contact@ijiras.com International Journal of Innovative Research and Advanced Studies (IJIRAS) Volume 3 Issue 13, December 2016 ISSN: 2394-4404 own members of staff, through telephone conversations and email correspondences to prospective students, also play a major role in influencing student choice decision. MANAGEMENT OF INSTITUTE: Management people are the in-direct source of influencers. These people are the main service providers in the education services. Here, pre- students may not approach management people, however, pre- students have a perceived value or an image for the management and brand of the institute. Management people communicate their culture, style and brand through their publications, sponsored programs, paid and non-paid sources of advertisements and social events. Pasternak (2005) pointed out that the information given by the management through institution's own printed materials is also very influential in student choice process. Despite numerous sources of information, there is still a general lack of adequate information for prospective students and their parents to make meaningful comparisons among universities offering the same or similar academic program, due to poor and less informative and promotional materials designed by the managements of educational institutions. CURRENT-STUDENTS (PROSPECTIVE STUDENTS): Current-students are the real experience holder of the service which is offered by the institute as they are currently in touch with the service and facilities of the institute. They are the real word of mouth for the institute as well as for the pre-students. But, their positive message delivered to the pre-student will depend on the type of experience they are receiving. However, families reveal a growing trend in which current-students commonly identify parental encouragement as a primary reason for deciding selection of institute [17]. Pre-student approaches current-students to update recent information regarding the institute as all other resources may provide old information regarding the institute. Again, they may verify the information provided by the other resources with the current- students. Pre-students often associate themselves with other individuals who have experienced the same cultural and social experiences and compare their institute going behaviors with those who are attending institute now. ALUMNI (POST-STUDENTS): Alumni are the finished product of the educational institutes. They had experienced a service and are in the perfect position to tell the value of that service in the present market. Alumni share common characteristics and interest with the pre-students. Pre-students take information from the Alumni for the future scope and value of educational program provided by the institute. However, opinion and the information provided may be different from alumni to alumni depending on the services and the level of satisfaction the alumni received from institute. PRE-STUDENT THEMSELVES: Pre-students take their decision mostly after collecting all information from all available sources and compares them with their personal factors. Most pre-students after collecting primary information from school teachers, friends, family prefer to visit directly to the concerned institute to verify physical evidence. They interact with administrative staff as well as faculty of the institute on academic or financial aspects. Pre-students look for institute settings that are consistent with their own environment and culture. Most of time, pre-student himself is not capable of taking decision without making a contact with the network of information sources. They make coalition, a temporary alliance to get this information. Coalition is defined as a group of an interacting group of individuals, deliberately constructed, independent of the formal structure, lacking its own internal formal structure, consisting of mutually perceived membership, issue oriented, focused on a goal or goals external to the coalition and requiring concerted member action. CONCEPTUAL MODEL – SERVICE MIX: BY THE PEOPLE FOR THE PEOPLE Institute Influencer Need Recognition Information Search Evaluation of Alternatives Selection by Student Satisfaction Students Related Influencer Pre-Student (Self) Parents Brothers & Sisters Relatives Friends Management Staff Current-Students Post-Students Previous School/Coaching Influencer School Teachers Coaching Teachers Reference Group Figure 1: Conceptual Model adopted and modified from Riley - A buyer’s decision-making process, 2012 III. OBJECTIVE AND RESEARCH METHODOLOGY The objective of this research was to find out people‟s influence, which is a referred group for a student, in selection of technical educational institute for a student and how is the of influence when compared to satisfaction of their decision of selection. A qualitative research through a survey was made. It comprised of a structured questionnaire sent through e-mail to the current-students enrolled and passed-out students (alumni) belonging to the technical institutes affiliated to North Maharashtra University. Sample size (n) was calculated at 95% Confidence Level for which Standard Normal Variate (Z) is 1.96 & at Standard Error (e) of 0.03 by ; where n = Sample Size to be used for this study, N = unknown population, p = Estimated Portion of Population N. For p = 90%, „n‟ comes out to be 553. However, sample size of 641 was selected by quota sampling from technical institutes offering different programs in engineering, pharmacy and management. The questionnaire comprised of demographic factors of students with questions measuring influencers impact on the selection of technical institute on a scale ranging from 0 to 5, where value zero, was no influence at all and value five, was most influence. The demographic characteristics of the sample is described as below; BY GENDER Male: 429; Female: 212 BY NATIVE PLACE District: 156; Taluka: 274; Village: 211 BY TECHNICAL EDUCATIONAL PROGRAM Engineering: 474; Pharmacy: 111; Management: 56
  • 4. Page 281 www.ijiras.com | Email: contact@ijiras.com International Journal of Innovative Research and Advanced Studies (IJIRAS) Volume 3 Issue 13, December 2016 ISSN: 2394-4404 HYPOTHESIS H1: The people factor of service mix influence the student‟s decision of selecting a technical education. H2: Satisfaction due the decision of selecting a technical institute is affiliated with influence of people mix (influencers). IV. DATA INTERPRETATION AND FINDINGS INFLUENCE OF PEOPLE MIX (INFLUENCERS)- (TESTING H1) Descriptive statistics for the responses collected on the influence of people mix in selecting technical educational institute are summarized in following table & bar char with their mean, standard deviation, variance & coefficient of variance. Figure 2 Influence rs Descriptive Statistics One-Sample T test of µ=3 vs µ≠3 N Mean SE Mean Std. Dev Varian ce Coef. Var 95% CI T P Parents 641 3.143 5 0.0711 1.8005 3.2419 57.28 (3.0039, 3.2832) 2.02 0.044 Siblings 641 2.454 0 0.0752 1.9035 3.6233 77.57 (2.3063, 2.6016) -7.26 0.000 Relatives 641 2.159 1 0.0726 1.8379 3.3778 85.12 (2.0166, 2.3017) -11.58 0.000 Peer/Frie nds 641 2.405 6 0.0730 1.8492 3.4196 76.87 (2.2622, 2.5490 -8.14 0.000 Current- Students 641 2.221 5 0.0753 1.9066 3.6352 85.82 (2.0736, 2.3694) -10.34 0.000 Alumni 641 2.049 9 0.0737 1.8668 3.4850 91.07 (1.9051, 2.1947) -12.89 0.000 Previous Teachers 641 1.856 5 0.0734 1.8594 3.4575 100.1 6 1.7123, 2.0007) -15.57 0.000 Institute’ s Staff 641 2.327 6 0.0766 1.9386 3.7581 83.29 (2.1773, 2.4780) -8.78 0.000 Manage ment People 641 3.429 0 0.0662 1.6757 2.8078 48.87 (3.5342, 3.7856) 10.31 0.000 Pre- Students themselv es 641 3.659 9 0.0640 1.6211 2.6279 44.29 (3.2991, 3.5590) 6.48 0.000 Table 1: Descriptive statistics for testing hypothesis H1 with One-Sample T test From the Table 1, the student‟s decision of selection is most influenced by pre-student themselves (M=3.66, SD=1.62), followed by management people and brand (3.43, 1.68) and parents (3.14, 1.80). Pre-students are less influenced by previous (school/coaching) teachers (1.86, 1.86), Alumni (M=2.04, SD=1.87), Relatives (M=2.15, SD=1.83) among all people factor of service mix. Other people mix such as Sibling (M=2.45, SD=1.9), Peer/friends (M=2.40, SD=1.85), Current- students (M=2.22, SD=1.91) and Staff of Institute (M=2.32, SD=1.94) have moderate influence on the selection of technical educational institute. From the table µ≠3, at confidence level 95%. Hence H1 is accepted which state that the people factor of service mix influence the student‟s decision of selecting a technical education. SATISFACTION OF DECISION OF SELECTION VS INFLUENCERS - (TESTING H2) Now, to know whether the satisfaction of decision for the selection of technical educational institute has a relationship with the influencers, the responses collected on satisfaction level; completely satisfied, somewhat satisfied, somewhat dis- satisfied and completely dis-satisfied, were measured and were found as shown in following bar chart with their mean. Figure 3 From the above bar chart, it is observed that the students are most Completely Satisfied when the decision is influenced by the Pre-students themselves (Mean=4), followed by Management People and brand (Mean=3.7) and Parents (Mean=3.3). However, the students are most Completely Dis- satisfied when their decision of selection of technical educational institute is influenced by Pre-students themselves (Mean=4), Alumni (Mean=1.5), Management People (Mean=1.4). Thus it can be seen that there is relationship of satisfaction of decision taken with the influencers those who have motivated towards that decision. To prove statistically two different tests were conducted through Minitab Statistical Software (Minitab 17). The first test, Chi-Square test was conducted for finding association of each influencers with the level of satisfaction of decision. The Person Chi-square was calculated at significance at p<0.05 for whole influencers combined vs satisfaction of decision for selection of technical educational institute. The second test, General MANOVA (Multi-analysis of Variance) was conducted to find F-value & p-value at significance at p<0.05. The test results have shown that all influencers have a relationship with satisfaction level of decision for selection of technical educational institute. The results are shown below (Table 2). Test for testing Hypothesis 2 Chi-square test for Association General MANOVA Influencers p-value F-value p-Value (Significance Level) Parents 0.007 4.31 0.014 Siblings 0.000 8.57 0.000 Relatives 0.021 2.93 0.050 Peer/Friends 0.002 8.13 0.000 Current- 0.005 9.20 0.000
  • 5. Page 282 www.ijiras.com | Email: contact@ijiras.com International Journal of Innovative Research and Advanced Studies (IJIRAS) Volume 3 Issue 13, December 2016 ISSN: 2394-4404 Students Alumni 0.000 12.26 0.000 Previous Teachers 0.001 7.78 0.000 Institute’s Staff 0.000 10.93 0.000 Management People 0.000 17.11 0.000 Pre-Students themselves 0.000 14.50 0.000 People Mix - Combined Pearson Chi- Square = 29.919, DF = 18, p-value = 0.038; Significant at p < 0.05 Wilks‟: F value 3.325, p- value 0.000 Significant at p < 0.05 Table 1: Chi-square test for Association and General MANOVA for Hypothesis testing H2 H2 hypothesis is accepted as p-value from Chi-square test for Association and General MANOVA are p=0.038 and p=0.00 with F-value=3.325 respectively, both are significant at p<0.05 when all influencers combined. Among all influencers, the influence of Management People (F=17.11, p=0.00), Pre-students themselves (F=14.15, p=0.00), Alumni (F=12.26, p=0.00), Institute‟s Staff (F=10.93, p=0.00) and Current-students (F=9.20, p=0.00) have high relationships. This means that their level of satisfaction for a decision is highly associated when their decision for selection are influenced by these influencers. On the other hand, the level of satisfaction with their decision are less associated when their decision has influenced by Relatives (F=2.93, p=0.50) and Parents (F=4.31, p=0.14) V. SUMMERY AND CONCLUSIONS In educational services, „People Mix‟ plays a vital role as „People‟ here are the service providers (management people, staff) as well as service receivers (students). In today‟s scenario where technical education is gaining it‟s important due to its vital contribution towards economic growth of the country, it is important for the technical institutes to whom to serve and when, where and how? At the same time, institutes should know what sources students and the influencers are using to search institutes. Without guidance from a friend, teacher or a family member, many students fear to take decision at their own, even if they decide to take at their own, they end up with the same setting. It is important to know institute‟s strongest influencers, so that the institute can create a communication strategy that incorporates them into the outreach process. For example, if professors are one of strongest influencers, make sure they are sharing institute‟s strategic value messages when they have conversations with prospective students. If parents are strongest influencers, make sure that the institute has an appropriate communication channels set up with the parents. Schools and school teachers can be targeted by delivering seminars on career counselling, through technical educational awareness programs, education fairs at their places. Alumni and Current-student‟s relationship are the assets without cost for the institutes in term of „word of mouth‟ because their communication is based on true experience of the service. Social media (engagement through Facebook pages, LinkedIn) is an important part of alumni, current-students and pre- students‟ engagement. It‟s a means to stay connected for long way and forever. It is now a must, to build relationships, not just links and not just clicks! Relationship building though, is a toughest job, as meeting people face to face and having a cup of coffee with them might be tougher, but with today‟s technology sources the world might be not enough to build relationship. The institutes must identify the tools to connect and re-connect the influencers. All influencers are needed to work to explore all possible avenues towards the growth and development of technical education by motivating the prospective students towards technical education. However, the institutes those who will act a lubricant for relationships will only survive, after all „for the people by the people‟ cannot run without bonds and relationships. REFERENCES [1] Lewis RG and Smith DH. op.cit [2] A Magaud and Robert M Krone (2002). Managing quality for higher education: A Systems Perspective. P 70-72. ISBN 978-87-403-0205-9 [3] Bui, K. (2002). First-generation college students at a four- year university: Background characteristics, reasons for pursuing higher education, and first-year experiences. College Student Journal, 33(1). [4] Pike & Kuh (2005). First and second-generation college students: A comparison of their engagement and intellectual development. The Journal of Higher Education. 76(3). [5] Gerald Holton (2004). Robert K. Merton - Biographical Memoirs. Proceedings of the American Philosophical Society. 148 (4): 506–517. [6] Website Source: eduventures.com/2014/04/drives- students-enrollment-decisions [7] Philip Kotler (2002). 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