WWJMRD 2018; 4(4): 136-142 www.wwjmrd.com
International Journal Peer Reviewed Journal Refereed Journal Indexed Journal UGC Approved Journal Impact Factor MJIF: 4.25 E-ISSN: 2454-6615 Morteza Moradgholi Research Scholar, Department of studies in sociology, university of Mysuru, Karnataka, India Dr. Rekha k. Jadhav Research Guide and Asst. Professor, Department of studies in sociology, Maharajas College, university of Mysore, Mysuru, Karnataka, India
Correspondence: Morteza Moradgholi Research Scholar, Department of studies in sociology, university of Mysuru, Karnataka, India
The Influence of Social Network Education on Choice
of Profession in Future Life of the Undergraduate
Students
Morteza Moradgholi, Dr. Rekha k. Jadhav
Abstract
Today in India mainly among the Indian college students the usage of Social Networking Sites (SNS) has considerably increased and it definitely has far-reaching impacts on the academic and other activities of the students. Impacts are so widespread that they caught the attention of social scientists worldwide. However, the range of studies conducted to deal with the influence of SNS among college students is negligible in India. Hence, this study is placed in this context, aimed at presenting The Influence of Social Network Education on Choice of Profession in Future Life of the Indian college students. For the said purpose a survey has been conducted among 400-students in numerous colleges and universities of government and private throughout Mysore and Bangalore. The findings of the study acknowledge the rampant influence of SNS on young college students to select their profession. Their summary profile, awareness of social network sites, frequency of SNS usage by the respondents, employment detail of SNS users, sources to get current job by the respondents, the value of social media on job application, the way to find next job and important aspects when looking for a job and much more interesting aspects have been dealt scientifically in this paper.
Keywords: Social networking sites, Indian college students, undergraduate students, the influence of SNS, age differentiation
Introduction
During the last two decades the world, in general and India, in particular has witnessed for remarkable changes in Information Technology (IT). Social networking sites are fast becoming very popular means of both interpersonal and public communication in India. Social networking sites are modern cooperating communication networks through those people were get connected to each other, share ideas, capabilities, pictures, messages and information of interest. Boyd and Ellison (2007) define social networking sites as:
Web based services that permit individuals to build a Public or semi-public profile within a bounded system.
Eloquent a list of other users with whom they share a connection.
To view and cross their list of connections and those made by others within the system (pp.78-100)
provision for users to upload their profile pictures. Another social networking sites „‟classmates‟‟ were founded to support social communication among their users but did not have many features same to „‟six degrees‟‟. Other social networking sites like Friendster and Myspace created virtual community, which would help its members locate old and new ones, shape their personal profile via the Internet and socially idea or opinion under the sun. Two years later, Jack Dorsey Launched Twitter as an online blogging site, while the most recent was founded in 2008 by Michael S. Egan. Therefore, just like radio and television, social networking has spread everywhere in India and are bound to be sprouting as the new media for are still obscure
Social network services can be defined as an individual web page that enables online, human relationship building by collecting useful information and sharing it with specific or non-specific people (Kwon &Yixing, 2010). Some social networking websites are used by millions of people every day on a regular basis, and it seems that social networking is a part of everyday life (Murray, 2008). Since their introduction, social network sites (SNSs) such as Myspace, Facebook, Cyworld, and Bebo have attracted millions of users, many of whom have integrated these sites into their daily practices (Boyd & Ellison, 2007). As an example of a well-known social network application, Facebook, which is the most popular SNS in Turkey, has a 26 million users from Turkey,51% whom are under the age of 24 (Google, 2012; Social Bakers, 2012). Considering that half of the Facebook users are under the age of 24 demonstrates that most of the teenagers use this kind of SNS. While SNSs are not allowed for use by children under the age of 13, there are certain content restrictions in the 13-18 age group. Users under the age of 18 can easily provide misleading information about their age in order to bypass these restrictions in the subscription process. Thus, one can infer that here are far more students of a secondary education level that are actively using SNSs than statistical findings report. Hew (2011) mentioned nine different motives for Facebook use. These motives include:
To maintain existing relationships. To meet new people.
Using Facebook is cool, fun. To make oneself more popular. To pass time.
To express or present oneself. For learning purposes. As a task management tool. For student activism (Hew, 2011).
In the educational realm, network goals currently exist that can be broadly defined as regarding school improvement, broadening opportunities (including networking with non-school agencies, such as social services or businesses), and resource sharing (Muijs, West, & Mel, 2010). Facebook has become a huge market for different sectors as the result of its use in various fields. Therefore, Facebook can be used for the purpose of advertisement, bypassing profile secrecy, obtaining users, accounts, and sharing advertisement in the profiles of users. Users who are introduced to Facebook face the risks of salacity, drug use, content sharing as advertising on one‟s profile, or bypassing profile secrecy as a result of the large market environment of Facebook. Considering that Facebook poses certain risks to use by
teenagers, social networks for educational purposes (SNS) can be developed as a solution to potential threats.
In general, college students are more interested in using advanced technology in every field compared to any other age group. It is also true in the case of medium of communication. In the class of users of SNS a considerable volume of theme are youth. In India too this fact is acknowledged by the various studies and hence today the usage of SNS has become large part of the student‟s lives in India. The EDUCAUSE data showed that the percentage of students who said they never use SNS has fallen from 25% to 11% in 2008. Hence, the study is aimed at conducting exploratory study on the Influence of Social Network Education on Choice of Profession in Future Life of Undergraduate Students in India and specific all in Mysore and Bangalore cities
Review of Literature
In the following review of existing studies on the related topic provide us a base to go ahead in the pursuit of „‟The Influence of Social Network Education on Choice of Profession of Undergraduate Students in India‟‟. The study entitled “Social Network Education and Mobility Analysis of Undergraduate Students of Mysore and Bangalore City: A Sociological Study” explores how today the importance of Social Networking Sites is increasing. Many SNS developers like Facebook, Myspace, Twitter and others are competing to give the best features in terms of socialization, interaction, privacy and even entertainment. This study primarily asks a major question: Does SNS usage effects on mobility analysis? This study was aimed to determine the effects of SNS on mobility. Through these SNS, people develop and mobility.
Folorunso (2010) conducted a survey among students of
the University of Agriculture, Abeokuta in Nigeria and tested the attributes of Diffusion of Innovations (DOI) theory towards usage pattern of Social Networking Sites. Demographic data of the study revealed that majority of users were college students. The five constructs i.e. Relative Advantage, Complexity, Compatibility, Observability and Reliability were used to test the impact on the attitude and trust regarding Social Networking Sites and to determine how attitude would impact on the intention to use it. The study (2010) concluded that the approach of university students towards Social Networking Sites does definitely affect the purpose to use the technology.
In a study entitled “Social capital as Facebook; differentiating uses and users” Moira Burke and
Cameron Marlow (2011) examine broadly about the point
increment in spanning social capital. The significant objective of the study was to watch how distinctive employments of an extensive Social Networking Site impact diverse sorts of client's social capital. Social capital is the genuine or potential assets which are connected to a strong system of pretty much systematized connections of shared associate or acknowledgment. The study expresses that understudies are inspired by social data looking for, utilizing Social Networking Sites to find out about individuals they have met disconnected, and expressive data sharking, feeling more noteworthy to extension social capital.
The study entitled “Online social networking: An
Australian perspective” (2009) is the outcome of a survey
conducted in Australia in 2007/08 that investigated the experiences of online social network users aged between 15-65 years. The overview planned to reveal the encounters and demeanors of dynamic online informal organization clients. In this investigation of online interpersonal organization clients, standards of two socio-social speculations of adapting (to be specific Situated Cognition and Activity Theory) are connected. In fact beyond any doubt the ubiquity of online person to person communication clients has expanded essentially in a moderately brief timeframe. In Australia Myspace and Facebook are reliably recorded among the main 10 most prevalent sites in the nation. The prevalence of these locales makes them an important setting for investigating the way of 21st century socialization and, thus, the marvel of online personality creation. While understanding this marvel it is valuable to consider two socio-social viewpoints of learning: Situated Cognition and Activity Theory. In this study both quantitative and subjective information are accounted for on issues of security, relationship amongst online and disconnected companions, time occupied with online interpersonal interaction exercises, utilization of photos and status components and constructive encounters connected with online person to person communication. These discoveries are fundamentally translated from a socio-social viewpoint of learning. The study comes about give comprehension of recurrence and sort of online engagement through long range informal communication locales and some knowledge into the encounters and sentiments of people who utilize such destinations. All the more critically, the aftereffects of this study are considered in the light of socio-social speculations of learning. Hence this encourages thought of the effect of interpersonal interaction destinations as socially esteem psychological apparatuses which, once aced, empower the client to partake in an online group. Person to person communication locales mirror the rising socialization practices of the online groups who take part. From the hypothetical point of view talked about in this study, all-encompassing examination of the marvel recognize that the collaboration is not just amongst individual and apparatus yet rather a type of socialization that is supported by one's cognizant choice to make an online character that is available by others. Internet has expanded rapidly and shifted from being solely an information access tool to being an interaction tool used by individuals to discover and share content, opinions, and information. What interest the researchers and organizations is the individuals‟ perception of social networking sites using the identified dimensions of
ease-of-use, usefulness, information quality, feeling, and intention of usage.
Alessandro Acquisti and Ralph Gross (2006) through
their study "Envisioned people group Awareness, data Sharing and Privacy on Facebook" pass on the basic demographic or behavioural contrasts between the groups of the system's individuals and non-individuals and effect of protection worries on part's conduct. In this study (2006), the analysts watched that age and understudy status are the most essential variables in deciding the Facebook participation, however the protection concerns additionally assume a part, yet just for non-college understudies. Lion's share of the individuals know about the perceivability of their profiles and they depend all alone capacity to control the data they spread. Be that as it may, they archive noteworthy polarities between particular protection concerns and genuine data disclosure conduct.
Subrahmanyam K. and Lin G (2007) suggests that youth
spending on data services represents almost 50 percent of all mobile spending in most mature markets. The youths are not the first adopters of first-hand technologies, they are also among the more sophisticated users of it as well. In fact, Livingstone and Bober have coined the term reverse complicated to characterize the shifting nature of socialization that happens in a part of the families, as young children are often more familiar than their parent about the new technologies. Research has also suggested that teenager‟s communications with these new technologies are often at the frontline of trends. Among teenagers, communication is the most important use of the Internet and the popular communication applications include, e-mail, instant messaging (private, one-on-one, text based conversations), chat rooms, and the newest trend social networking sites including blogs, Myspace and Facebook. Although we know that adolescents are spending considerable amounts of time on these applications, many questions remain.
Firstly, what are teens doing in communication forums
such as chat rooms and blogs? What do they talk about?
Secondly, are these online communication activities
fundamentally changing adolescent behaviour or are they simply providing new venues for traditional adolescent behaviour?
Lastly, what is the relation between teen virtual worlds
and real worlds? Are teen participants leaving behind real lives when interacting online or do virtual worlds reflect themes that are traditionally adolescent ones?
The above works help us in building hypothetical system to investigate the use of SNS among the Indian understudy‟s students.
Methodology
respondents between age group of 18 to 26 years who were college and university students (specific undergraduate) were randomly selected. The age group of 18-26 was chosen since they are the heavy users of SNE and also early adopters of advanced technological applications.
The surveys have done by circulating questionnaires personally and also some of the data were collected through
interview. This research also involves observation-both direct and participatory method, where direct observation was made with the students.
Results and Discussion
Age of the SNS Users
Table-1: The Respondents Age
Category The Respondents Age Frequency Percentage (%) Cumulative Percentage (%)
A 18 To 22 308 77 77
B 23 To 26 92 23 100
Total 400 100
Table-1 shows a summary of respondents‟ age under the present study. The results of the analysis data show that 77% of the respondents‟ age is between 18 to 22 years. Additionally, only 23 out of 400 respondents were found to be between 23 to 26 years. Finally, 77% of the respondents
for age group 18 to 22 is a good reason for the sample (undergraduate students) of the present study.
Gender Wise Distribution of College Students
Table-2: Gender Wise Distribution of College Students
Category Gender Wise Distribution Of College Students Frequency Percent Cumulative Percent
A Male 230 57.5 57.5
B Female 168 42 99.5
C Transgender 2 .5 100
Total 400 100
Table-2 shows a summary of respondents‟ gender-wise distribution. The results of the analysis data show that around 57.5% of the respondents are male while 42% of the respondents have participated in the survey were female. Additionally, about.5 that is less than 1% were transgender.
Table-2 shows the gender wide spread of the sample in Bangalore and Mysore cities.
Awareness and Apply SNS by the Users
Table-3: Awareness on Sns
category Awareness on SNS Frequency Percentage% Cumulative Percent%
A Yes 397 99.2 99.2
B No 3 8 100
Total 400 100
Table-3 shows a summary of respondents‟ information and awareness on social network sites under the present study. The results of the analysis data show that 99.2 of the respondents were aware of social network sites. While only
8% of the respondents were not aware of social network sites. Generally, only 3 out of 400 of respondents were not in using social network sites and it is less than 10%. Figure-1 is related to the table -3 also shows this result.
Fig.1: Respondents Awareness on Sns
Frequency of SNS Usage by Respondents
Table-4: Frequency of Sns Usage by Respondents
Category Frequency of SNS Usage by Respondents Frequency Percent Cumulative Percent
A Often 186 46.5 46.5
B Occasionally 197 49.3 95.8
C Never 17 4.3 100
Total 400 100
According to the table-4, it shows a summary of frequency of social network sites usage by the respondents, the results of the analysis data shows that 49.3% of the respondents agreed to use social network sites occasionally, while 46.5 of the respondents agreed with often using of social network sites. Moreover, only 17 out of 400 of the
respondents never used social network sites that are less than 5%. Additionally, it shows that the major number of the respondents around 95.8% were using social network site in category A, B.
Occupation Details of SNS Users
Table-5: Employment Detail of Sns Users
category Employment Detail of SNS Users Frequency Percent Cumulative Percent
A Yes 150 37.5 37.5
B No 250 62.5 100
Total 400 100
Table-5 shows a summary of respondents‟ employment details, the results of the analysis data shows that around 625% of the respondents when the survey was done have told they have not employed anywhere while opposite that about 37.5% of the respondents were employed. Base on the table-1, 77% of the respondents are in the age group 19
to 23, and the sample of this survey is from undergraduate students. Because of the respondents were the student and in the age group, 19 to 23 is a justification for results of table-5, category B.
Sources for Getting Current Job by Respondents
Table-6: Sourcess for Getting Current Job by Respondents
Category Sources for Getting Current Job by Respondents Frequency Percent Cumulative Percent
A Newspapers (Job Ads) 42 10.5 10.5
B Corporate Websites (Job Ads) 25 6.3 16.8
C Recruitment Agencies 25 6.3 23
D Online social networking sites 27 6.8 29.8
E Blogs and micro-blogging 13 3.3 33
F Job boards 10 2.5 35.5
G Friend‟s or relative‟s referral 8 2.0 37.5
H Not Applicable 250 62.5 100
Total 400 100
Table-6 shows a summary of respondents‟ sources to get the current job, the results of the analysis data shows that around 62.5% of the respondents in the survey time were not applicable to get a job while 6.8% of the respondents were used online social networking sites to find a favorite
job for theme. Moreover, around 10.5% of the respondents have got their job by the Newspaper (Job Ads).
Value of Social Media on Job Application
Table-7: Value of Social Media on Job Application
category Value of Social Media on Job Application Frequency Percent Cumulative Percent
A No Value 72 18 18
B Some Value 268 67 85
C Great Value 60 15 100
Total 400 100
Table-7 shows a summary of value of social media on the job application, the results of the analysis data shows that around 67% of the respondents mentioned Some Values while 18% of the respondents mentioned ''No Value'' and around 15% of the respondents mentioned ''Great Value''. Additionally, 268 out of the 400 of the respondents
mentioned the impact of social media on the job application; it shows a major volume of the respondents is agreed with the impact of social media on the job application.
Table-8: the Way to Find New Job
Category The Way to Find Next Job Frequency Percent Cumulative Percent
A A head hunter will call me 41 10.3 10.3
B In a job fair 76 19 29.3
C Through job boards 93 23.3 52.5
D Through social media 110 27.5 80
E A friend will notify me an offer 34 8.5 88.5
F I will go to the corporate website of my dream company 46 11.5 100
Total 400 100
Table-8 shows a summary of the way to find next job by the respondents, the results of the analysis data shows that around 27.5% of the respondents have told they will find their future job through social media, while 23.3% of the respondents mentioned through job boards and 19% of theme mentioned through in a job fair they will find their
favorite job in the future. Finally, the results of this table show a major volume of respondents will use social media to find their job.
Important Aspect When You Look for Job
Table-9: Important Aspect When Looking For a Job
Category Important Aspect When You Look for Job Frequency Percent Cumulative Percent
A The company‟s name 89 22.3 22.3
B The position‟s salary 212 53 75.3
C The company‟s location 50 12.5 87.8
D The company‟s reputation 49 12.3 100
Total 400 100
Table-9 shows a summary of respondents‟ important aspects when they looking for a new job, the results of the analysis data shows that around 53% of the respondents mentioned the position‟s salary is important for them when they are looking for a job, while 12.5% of the respondents have had emphasis on company‟s location for catching a new job. Additionally, 22.3% of the respondents mentioned company‟s name is important for them when they are looking for a job and the remains around 12.3% of the respondents mentioned company‟s reputation is important for them.
Conclusion
The primary objective of the research commenced has been to shed light on the development of the dominance of social networking sites among the college students in India. Previous research in scopes of social networking sites and its impact on college students in different comprehensive and demographic context provided a general secondary source base for the present study. Base on new technologies, acceptance of the Internet especially for its social uses has seen its maximum levels of usage in throughout India among young college students, for this claimed as the results of this study have shown, based on table-3, 99.2% of the respondents are an awareness on social network sites. The major part of present college students has had access to the Internet and computers for the almost whole time of their lives. These digital natives see these technologies as a logical extension lead of traditional communication methods and distinguish social networking sites as often a much quicker and more convenient way to interrelate. That they are conscious of the threat and risk complicated in these sites is a helpful indicator that college students in throughout India are not only techno-savvy and socially active through social networking sites, but they also have social awareness and usage of SNS between them is in up-level and increasing day to day.
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