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IRJMST Vol 8 Issue 8 [Year 2017] ISSN 2250 – 1959 (0nline) 2348 – 9367 (Print)
International Research Journal of Management Science & Technology
http://www.irjmst.com Page 122
A Comparative Analysis of Print vs. Online News Media
Parveen
Ph.D Research Scholar
Dept. of Business Administration,
Chaudhary Devi Lal University, Sirsa
Parveen.bose221188@gmail.com
Abstract
This paper gives an investigation of the print news and online news utilization design.
Purpose of input has been inferred on both mass and customized media in particular print and its
online rendition. By utilizing multi different investigation ANNOVA essential information, taking
sample size of (N=400) the respondents were asked for to give data on the recurrence, timing and
place of use of every medium and were made a request to report their input on the helpfulness of
these media. The different statistic factors are related with media use designs. The fundamental
discoveries of the investigation propose that the web is nearly more used among the media.
Online/internet is underutilized as a result of absence of mindfulness and non accessibility of flag.
Keyword: Print and Online News Media, Usage Pattern, Growth Perspective of both the Media.
1. Introduction
The year 2016 was a mixed bag for the Indian Media and Entertainment (M&E) industry.
While the digital ecosystem penetrated further into the citizens‟ day-to-day lives and opened up new
avenues of consumption and revenue, it was time for introspection for many parts of the industry.
A slow economic recovery in the U.S. and muted growth in China saw the global economy grow at a
sluggish rate of 2.6 per cent, with Brexit, the U.S. election and the rise of protectionist and free trade
rhetoric adding to business uncertainty. The Indian economy, nevertheless, is expected to outperform
major economies with a projected Financial Year (FY) 2017 Gross Domestic Product (GDP) growth
rate of 7.1 per cent, despite the speed bump caused by demonetization.
In 2016, the Indian M&E industry grew at 9.1 per cent on the back of advertising growth of
11.2 per cent. This was aided by strong fundamentals and a steady growth in consumption, although
demonetization shaved off 150 to 250 basis points in terms of growth across all sub segments at the
end.
In 2016, the Indian print industry grew at 7.0 percent. This growth was constrained by
regional language newspapers, followed by Hindi and English at 9.4 percent, 8.3 percent and 3.7
percent, correspondingly. While English newspapers fought, Hindi and other regional language
newspaper nonstop their growth scene. The readership for English newspaper is concerted mostly in
Tier I cities with around 10 percent of Indian population speaking English, leaving 90 percent of the
population to be provided by regional dailies. The switch to digital platforms continued rapidly in
Tier I cities; this further scratched the growth of English newspapers. The revenue of traditional
newspapers was parallel to past trends - advertising lead circulation revenue, local advertiser
gradually more participated to ad spends and ad revenue in English newspapers ongoing to lead
IRJMST Vol 8 Issue 8 [Year 2017] ISSN 2250 – 1959 (0nline) 2348 – 9367 (Print)
International Research Journal of Management Science & Technology
http://www.irjmst.com Page 123
Hindi and regional language newspapers Excluding small number of magazines with niche content
and the print magazines sectors nonstop to fight throughout the digitalization age. (Sources: KPMG-
FICCI Industry Reports 2017. (www.assets.kpmg.com)
2. Reviews and Literatures
Boyer Dominic (2010) contemplated the association between advanced media rehearses and
computerized self-understandings in western news reporting how German and US online columnists.
The investigation demonstrated the online news writers' stories of computerized mastery as excellent
of the robotic and informatics epistemologies that created in the impel of the industrialization of
calculation before the Second World War and that applied an intelligent impact over the methodical
techniques and hypotheses of the after war human sciences and complexity advanced intuition in
news coverage and after war humanities with a specific end goal to uncover how in fact empowered
practices impact master methods of understanding human social life. (Boyer, 2010)
Brennan James R. (2011) inspected one little corner of Indian Sea print culture by mapping
the memoirs of two Indian daily papers Tanganyika Feeling (1923-55) and Tanganyika Envoy
(1929-62). The conflicting groups envision in Tanganyika‟s Indian daily papers were to a limited
extent ideological, packaging together claims of magnificent citizenship with Diasporas
universalisms of religion and country. Dedication to the English Domain was a continuous abstain of
editors and letter essayists, to a limited extent to keep up support with frontier blue pencils yet
additionally as a certifiable articulation of nonexclusive yearnings for self-change through an all
inclusive „human advancement‟ that went with pioneer run the show. The examination worried about
the logical inconsistencies that rose out of the very business of daily paper generation, The print
culture made by this Indian diasporic intellectual elite, resting upon a financial base of Furnivallian
pluralism, with its firm common particles connected together by the frail obligations of commercial
center declaration, got itself unequivocally tied by the breaking points of pleasing sponsors, blue
pencils, and perusing open want of pilgrim Tanganyika. (Brennan, 2011)
Ayesha Sadaf (2011) inspected this depends on relative substance investigation of the scope
of English and Urdu dailies of Pakistan on the issue of legal reclamation. Furthermore, to take a
gander at the way that how much this issue was shrouded in the two dialects in driving national daily
papers. Examination demonstrates that there is not really a contrast between two, both are
consistently noteworthy in giving the perfect place and circumstance of the news stories interrelated
to the issue. (Sadaf, 2011)
Sathpathi and Roy (2011) demonstrated electronic media re-energized by the web upheaval
in India advancement in mid 1990s and 21st century. Each inhabitant continues moving towards the
web as an extra wellspring of data, they started voicing their assessment through online journals;
sentiment surveys and person to person communication sites. This exploration utilizes subjective
examination for concentrate the effect of the electronic media on political support when all is said in
done and voting conduct specifically. The information for this investigation is gotten from the
Decision Commission of India, media scope, conclusion surveys, web journals and long range
interpersonal communication sites. (Satpathi & Roy, 2011)
IRJMST Vol 8 Issue 8 [Year 2017] ISSN 2250 – 1959 (0nline) 2348 – 9367 (Print)
International Research Journal of Management Science & Technology
http://www.irjmst.com Page 124
Bhavsar and Sonar (2014) watched that the online daily papers are following the data
worldwide in the ongoing; it contemplated 16 online Marathi daily papers through an assortment of
points. It was broke down that the quantities of online pursuers are developing quick consistently the
same number of the online daily papers are interface themselves to the long range informal
communication destinations, as Facebook, Twitter, Google+, and others. (Bhavsar & Sonar, 2014)
Sullivan Amanda (2012) proposed customary course of accepting news by means of a daily
paper has advanced into a more computerized way, leaving many to scrutinize the eventual fate of
the print distribution. The examination in view of the print and online substance of the Houston
Annal. The Scientist adds to the field of research on news media by investigating the on the web and
print substance of the distribution and sort and assess the topic by putting it into four classifications:
redundancy, adjustment, portrayal, and special. The scientist request going to answer three research
questions, finding how every medium exemplify components of media meeting. (Sullivan, 2012)
3. Research Methodology
3.1 Problem Statement: -
“A Comparative Analysis of Print vs. Online News Media”
3.2 Research Design and Sampling Plan
The present research being exploratory cum descriptive in nature, primary data has been
collected from a sample of 400 respondents (200 Print News Readers, and 200 Online News
Readers) from diverse socio-economic backgrounds and regions from the National Capital Region
using judgmental sampling technique through a structured questionnaire. A 5-interval Likert scale
from Strongly Disagree (measuring 1) to Strongly Agree (measuring 5) has been employed to
measure the psychographics (attitudes, interests and opinion) of respondents. Secondary data has
been collected from diverse offline and online national/international research publications.
The Research Instrument (Questionnaire) finalized after conducting Pilot study and obtaining
valuable feedback and suggestions, which comprises thirty five research statements eliciting critical
information from the respondents (apart from relevant demographic information having a bearing on
their psychographic attitudes, interests and opinions).
3.3 Research Hypothesis
Demographic and psychographic characteristics of audience of Print News Media and
Online News Media and their usage patterns;
The following Eight hypotheses were formulated and tested to realize the first objective: -
H01: There is no significant difference in respondent opinion (demographic wise and type of
respondent wise) regarding Television News is the most preferred source of News for an
“average” (educated as well as uneducated) Indian.
H02: There is no significant difference in respondent opinion (demographic wise and type of
respondent wise) regarding most preferred source of News for an “educated” Indian.
IRJMST Vol 8 Issue 8 [Year 2017] ISSN 2250 – 1959 (0nline) 2348 – 9367 (Print)
International Research Journal of Management Science & Technology
http://www.irjmst.com Page 125
H03: There is no significant difference in respondent opinion (demographic wise and type of
respondent wise) regarding Online News (is the most preferred source of News for a “highly-
informed” Indian.
H04: There is no significant difference in respondent opinion (demographic wise and type of
respondent wise) regarding most of Newspaper consumption happens to be “Tea time” news
in early morning.
H05: There is no significant difference in respondent opinion (demographic wise and type of
respondent wise) regarding most of News-Magazine consumption happens to be “Free time”
news in the leisurely hours.
H06: There is no significant difference in respondent opinion (demographic wise and type of
respondent wise) regarding most of Online News consumption happens to be “Any time” news
whenever one is “Online”.
H07: There is no significant difference in respondent opinion (demographic wise and type of
respondent wise) in terms of Consumer Feedback/Engagement of Audience, Print is no match
to Online News.
H08: There is no significant difference in respondent opinion (demographic wise and type of
respondent wise) in terms of Participation/Engagement of Audience with each other; Print is no
match to Online News.
3.4 Limitations of the Study
The result of the examination relies upon the investigation of respondents and there may be a couple
of chances of bumble. The present examination took a little case of 400 respondents which could be
augmented to make it more illustrative to draw more critical deductions. The degree run was
moreover kept to the National Capital Region which could be enlarged to make it a holder India
consider which was past the strategies for the specialist. The examination focused on the print and
online news media simply, help an investigation ought to similarly be conceivable to consider
traditional media and electronic media and besides with different elements.
4. Data Analysis and Interpretation
This chapter represents the analysis of data using different statistical tool like General Linear
Model (Univariate), Mean and Standard Deviation. The questionnaire contained different questions
containing various Electronic News Media aspects in respect of which the opinions of the
respondents are collected. A sample size of 400 respondents was taken (200 respondents from Print
News Readers and 200 respondents from Online News Readers) to know the opinion of respondents
regarding preferable media for News Consumption in India. The respondents had to express their
level of agreement with a set of eight statements on five point Likert scale ranging from strongly
disagree to strongly agree.
The present chapter is outcome of an empirical study conducting to achieve research
objectives. It contains Descriptive statistics which represents mean value and standard deviation of
IRJMST Vol 8 Issue 8 [Year 2017] ISSN 2250 – 1959 (0nline) 2348 – 9367 (Print)
International Research Journal of Management Science & Technology
http://www.irjmst.com Page 126
each statement, Demographic profiles of respondents, and comprises psychographic characteristics
of News Readers, comprises the analysis of print media consumption.
4.1 psychographic characteristics of audience of Electronic News Media and their usage
patterns
The first objective was to analyze Demographic and psychographic characteristics of
audience of Electronic News Media and their usage patterns. Eleven hypotheses were formulated to
achieve this objective and a total sample size of 400 respondents has been collected i.e. 200
respondents from television news viewers and 200 from Online/Digital News Viewers. A General
Linear Model (Univariate) test has been applied to check the significant level (demographic-wise and
type of respondent-wise) of all the hypotheses to achieve this objective.
Table1. Television news (given its vast reach and easy availability) is the most preferred source
of news for an average Indian.
Source Type III Sum of Square df Mean Square F Sig.
Model 5964.366a
16 372.773 495.940 0.000
Gender 0.032 1 0.032 0.042 0.837
Residence 2.424 1 2.424 3.224 0.073
Age 0.866 4 0.217 0.288 0.886
Occupation 0.029 2 0.014 0.019 0.981
Education 4.085 2 2.043 2.717 0.067
Family Income (p.m.) 2.561 4 0.640 8.852 0.493
Type of Respondent 2.806 1 2.806 3.733 0.054
Error 288.634 384 0.752
Total 6253.000 400
Sources: Primary Data * Significant at 5% level a. R Squared = 0.954 (Adjusted R Squared = 0.952
Table 1 point to the affirmation of the hypothesis (H01) by majority of respondents across
categories there being no significant difference in respondent opinion (gender-wise, residence-wise,
age-wise, occupation-wise, education-wise, family income-wise) with respect to the research
statement “Television news (given its vast reach and easy availability) is the most preferred source of
news for an average Indian”.
The value of adjusted R Squared is 95.4 percent, which represents that percentage of
variation explained by all variables. Additionally, taking into account the mean value (3.85) and S.D
(0.8683) along with little statistical difference among respondent opinion it could be concluded that
the majority of respondents across categories validate the null hypothesis “There is no significant
difference in respondent opinion (demographic-wise and type of respondent wise) regarding
television news being most preferred source of News for an average Indian”.
Table2. Print news (given its depth, variety and exhaustiveness) is the most preferred source of
news for a highly-educated Indian.
Source Type III Sum of Square df Mean Square F Sig.
Model 5990.976a
16 374.436 463.782 0.000
Gender 1.822 1 1.822 2.256 0.134
Residence 4.760 1 4.760 5.896 0.016*
Age 3.030 4 0.757 0.938 0.442
IRJMST Vol 8 Issue 8 [Year 2017] ISSN 2250 – 1959 (0nline) 2348 – 9367 (Print)
International Research Journal of Management Science & Technology
http://www.irjmst.com Page 127
Occupation 0.698 2 0.349 0.432 0.649
Education 1.150 2 0.575 0.712 0.491
Family Income (p.m.) 3.661 4 0.915 1.134 0.340
Type of Respondent 7.526 1 7.526 9.322 0.002*
Error 310.024 384 0.807
Total 6301.000 400
Sources: Primary Data * Significant at 5% level a. R Squared = 0.951 (Adjusted R Squared = 0.949)
Table2. points to the affirmation of the hypothesis (H02) by majority of respondents across
categories there being no significant difference in respondent opinion (gender-wise, residence- wise,
occupation-wise, education-wise and family income-wise, type of respondent-wise) with respect to
the research statement “Print news (given its depth, variety and exhaustiveness) is the most preferred
source of news for an a educated Indian” but there is significant difference with respect residence-
wise and type of respondent-wise (p-value is less than 0.05).
The value of adjusted R Squared is 95.1 percent, which represents that percentage of
variation explained by all variables. Additionally, taking into account the mean value (3.86) and S.D
(0.9141) along with little statistical difference among respondent opinion it could be concluded that
the majority of respondents across categories validate the null hypothesis “There is no significant
difference in respondent opinion (demographic-wise and type of respondent wise) regarding Print
news (given its depth, variety and exhaustiveness) is the most preferred source of news for an a
educated Indian.”
Table3. Online News (due to its minute to minute updates) is the most preferred source of
News for a highly-informed Indian.
Source Type III Sum of Square df Mean Square F Sig.
Model 5975.469a
16 373.467 409.126 0.000
Gender 0.047 1 0.047 0.051 0.821
Residence 5.344 1 5.344 5.854 0.016*
Age 7.286 4 1.822 1.996 0.095
Occupation 0.258 2 0.129 0.141 0.868
Education 1.837 2 0.918 1.006 0.367
Family Income (p.m.) 1.042 4 0.261 0.286 0.887
Type of Respondent 1.932 1 1.932 2.117 0.146
Error 350.531 384 0.913
Total 6326.000 400
Sources: Primary Data * Significant at 5 percent level a. R Squared = 0.945 (Adjusted R Squared = 0.942)
Table3. points to the affirmation of the hypothesis (H03) by majority of respondents across
categories there being no significant difference in respondent opinion (gender-wise, residence- wise,
age-wise, occupation-wise, education-wise and family income-wise) with respect to the research
statement “Online News (due to its minute to minute updates) is the most preferred source of News
for a highly -informed Indian” but there is significant difference with respect residence-wise (p-value
is less than 0.05).
The value of adjusted R Squared is 94.5 percent, which represents that percentage of
variation explained by all variables. Additionally, taking into account the mean value (3.86) and S.D
(0.957) along with little statistical difference among respondent opinion it could be concluded that
IRJMST Vol 8 Issue 8 [Year 2017] ISSN 2250 – 1959 (0nline) 2348 – 9367 (Print)
International Research Journal of Management Science & Technology
http://www.irjmst.com Page 128
the majority of respondents across categories validate the null hypothesis “There is no significant
difference in respondent opinion (demographic-wise and type of respondent-wise) regarding online
News (due to its minute to minute updates) is the most preferred source of news for a highly -
informed Indian”.
Table4. Most of Newspaper consumption happens to be Tea time News in early morning.
Source Type III Sum of Square df Mean Square F Sig.
Model 6257.013a
16 391.063 641.782 0.000
Gender 0.687 1 0.687 1.128 0.289
Residence 15.608 1 15.608 25.614 0.000*
Age 5.612 4 1.403 2.303 0.058
Occupation 0.426 2 0.213 0.349 0.705
Education 1.029 2 0.514 0.844 0.431
Family Income (p.m.) 1.410 4 0.352 0.578 0.678
Type of Respondent 1.638 1 1.638 2.689 0.102
Error 233.987 384 0.609
Total 6491.000 400
Sources: Primary Data * Significant at 5% level a. R Squared = 0.964 (Adjusted R Squared = 0.962)
Table4. points to the affirmation of the hypothesis (H04) by majority of respondents across
categories there being no significant difference in respondent opinion (gender- wise, age-wise,
occupation-wise, education-wise and family income-wise) with respect the research statement “Most
of Newspaper consumption happens to be Tea time News in early morning” but there is significant
difference with respect residence-wise (p-value is less than 0.05).
The value of adjusted R Squared is 96.4 percent, which represents that percentage of
variation explained by all variables. Additionally, taking into account the mean value (3.94) and S.D
(0.8039) along with little statistical difference among respondent opinion it could be concluded that
the majority of respondents across categories validate the null hypothesis “There is no significant
difference in respondent opinion (demographic-wise and type of respondent-wise) regarding Most of
Newspaper consumption happens to be Tea time News in early morning.”
Table5. Most of News-Magazine consumption happens to be free-time news in the leisurely
hours.
Source Type III Sum of Square df Mean Square F Sig.
Model 5796.814a
16 362.301 425.213 0.000
Gender 0.783 1 0.783 0.919 0.338
Residence 5.730 1 5.730 6.725 0.010*
Age 2.782 4 0.696 0.816 0.515
Occupation 1.962 2 0.981 1.152 0.317
Education 2.473 2 1.237 1.451 0.236
Family Income (p.m.) 3.644 4 0.911 1.069 0.371
Type of Respondent 2.037 1 2.037 2.391 0.123
Error 327.186 384 0.852
Total 6124.000 400
Sources: Primary Data * Significant at 5% level a. R Squared = 0.947 (Adjusted R Squared = 0.944)
Table5. points to the affirmation of the hypothesis (H05) by majority of respondents across
categories there being no significant difference in respondent opinion (gender- wise, residence-wise,
IRJMST Vol 8 Issue 8 [Year 2017] ISSN 2250 – 1959 (0nline) 2348 – 9367 (Print)
International Research Journal of Management Science & Technology
http://www.irjmst.com Page 129
age-wise, occupation-wise, education-wise and family income-wise, type of respondent-wise) with
respect the research statement “Most of News-Magazine consumption happens to be free-time news
in the leisurely hours”, but there is significant difference with respect residence-wise (p-value is less
than 0.05).
The value of adjusted R Squared is 94.7 percent, which represents that percentage of
variation explained by all variables. Additionally, taking into account the mean value (3.80) and S.D
(0.9339) along with little statistical difference among respondent opinion it could be concluded that
the majority of respondents across categories validate the null hypothesis “There is no significant
difference in respondent opinion (demographic-wise and type of respondent-wise) regarding Most of
News-Magazine consumption happens to be free-time news in the leisurely hours”.
Table6. Most of the online News consumption happens to be any-time news whenever one is
Online.
Source Type III Sum of Square df Mean Square F Sig.
Model 5942.236a
16 371.390 439.130 0.000
Gender 0.158 1 0.158 0.186 0.666
Residence 34.773 1 34.773 41.116 0.000*
Age 5.323 4 1.331 1.574 0.181
Occupation 0.192 2 0.096 0.113 0.893
Education 1.396 2 0.698 0.825 0.439
Family Income (p.m.) 5.757 4 1.439 1.702 0.149
Type of Respondent 4.837 1 4.837 5.719 0.017*
Error 324.764 384 0.846
Total 6267.000 400
Sources: Primary Data * Significant at 5% level a. R Squared = 0.948 (Adjusted R Squared = 0.946)
Table6. points to the affirmation of the hypothesis (H06) by majority of respondents across
categories there being no significant difference in respondent opinion (residence-wise, age-wise,
occupation-wise, education-wise and family income-wise, type of respondent-wise) with respect the
research statement “Most of the online News consumption happens to be Any-time news whenever
one is Online” but there is a significant difference with respect residence-wise and type of
respondent-wise (p-value is less than 0.05).
The value of adjusted R squared is 94.8 percent which is explained by all variables.
Additionally, taking into account the mean value (3.83) and S.D (0.971) along with little statistical
difference among respondent opinion it could be concluded that the majority of respondents across
categories validate the null hypothesis “There is no significant difference in respondent opinion
(demographic-wise and type of respondent-wise) Most of the online News consumption happens to
be any-time news whenever one is Online”.
Table8. In terms of Consumer Feedback/Engagement, Print is no match to Online News
Source Type III Sum of Square df Mean Square F Sig.
Model 6137.908a
16 383.619 535.493 0.000
Gender 1.435 1 1.435 2.004 0.158
Residence 1.159 1 1.159 1.617 0.204
Age 3.679 4 0.920 1.284 0.276
IRJMST Vol 8 Issue 8 [Year 2017] ISSN 2250 – 1959 (0nline) 2348 – 9367 (Print)
International Research Journal of Management Science & Technology
http://www.irjmst.com Page 130
Occupation 1.988 2 0.994 1.388 0.251
Education 0.861 2 0.430 0.601 0.549
Family Income (p.m.) 3.399 4 0.850 1.186 0.316
Type of Respondent 3.514 1 3.514 4.906 0.027*
Error 275.092 384 0.716
Total 6413.000 400
Sources: Primary Data * Significant at 5% level a. R Squared = 0.957 (Adjusted R Squared = 0.955)
Table8. points to the affirmation of hypothesis (H07) by majority of respondents across
categories there being no significant difference in respondent opinion (gender-wise, residence-wise,
age-wise, occupation-wise, education-wise and family income-wise) with respect the research
statement “In terms of Consumer Feedback and Engagement, Print is no match to Online News”, but
there is a significant difference with respect type of respondent-wise (p-value is less than 0.05).
The value of adjusted R Squared is 97.4 percent, which represents that percentage of
variation explained by all variables. Additionally, taking into account the mean value (3.91) and S.D
(0.852) along with little statistical difference among respondent opinion it could be concluded that
the majority of respondents across categories validate the null hypothesis “There is no significant
difference in respondent opinion (demographic-wise and type of respondent-wise) regarding In terms
of Consumer Feedback/Engagement, Print are no match to Online News”.
Table9. Participation/Engagement of Audience with each other, Print is no match to Online
News.
Source Type III Sum of Square df Mean Square F Sig.
Model 6101.194a
16 381.325 634.424 0.000
Gender 0.845 1 0.845 1.406 0.236
Residence 2.228 1 2.228 3.707 0.055
Age 1.762 4 0.441 0.733 0.570
Occupation 0.622 2 0.311 0.517 0.597
Education 0.934 2 0.467 0.777 0.461
Family Income (p.m.) 3.282 4 0.821 1.365 0.245
Type of Respondent 6.151 1 6.151 10.234 0.001*
Error 230.806 384 0.601
Total 6332.000 400
Sources: Primary Data * Significant at 5% level a. R Squared = 0.964 (Adjusted R Squared = 0.962)
Table9. points to the affirmation of the hypothesis (H08) by majority of respondents across
categories there being no significant difference in respondent opinion (gender-wise, residence-wise,
age-wise, occupation-wise, education-wise and family income-wise, type of respondent) with respect
the research statement “In terms of Participation/Engagement of Audience with each other, Print is
no match to Online News”, but there is a significant difference with respect type of respondent-wise
(p-value is less than 0.05).
The value of adjusted R Squared is 96.4 percent, which represents that percentage of
variation explained by all variables. Additionally, taking into account the mean value (3.86) and S.D
(0.981) along with little statistical difference among respondent opinion it could be concluded that
the majority of respondents across categories validate the null hypothesis “There is no significant
difference in respondent opinion (demographic-wise and type of respondent-wise) regarding In terms
of Participation/Engagement of Audience with each other, Print is no match to Online News”.
IRJMST Vol 8 Issue 8 [Year 2017] ISSN 2250 – 1959 (0nline) 2348 – 9367 (Print)
International Research Journal of Management Science & Technology
http://www.irjmst.com Page 131
5. Research Findings
Demographic and psychographic characteristics of audience of Print News Media and Online
News Media and their usage patterns;
1. Majority of respondents across categories (demographic-wise and type of respondent-wise)
agree that Television News given its vast reach and easy availability is the most preferred
source of News for an average Indian. Indian TV advertise is the second biggest market on
the planet after China with an infiltration of three-fifth of aggregate family units along these
lines converting into a scope of 800 million or 80 cr. individuals (considering the normal no.
of group of onlookers in a family unit is five). Since news is a critical type among various
station classes a normal Indian favors getting the main part of his/her news utilization from
TV medium which is effortlessly available and always refreshed with most recent breaking
news round the clock.
2. Majority of respondents across categories (demographic-wise and type of respondent-wise)
think that Print News given its depth, variety and exhaustiveness is the most preferred source
of News for the highly-educated Indian. By far most of exceedingly taught and complex
Indians jump at the chance to begin their day with the crisp point of view and thoroughness
of Print News and view it as very solid and free from the ills of Yellow News coverage
stopping the dominant part of TV News. The profoundly mindful class of Indians likes to
dive profound into the article sections to show signs of improvement handle of what is
occurring around them and on the planet.
3. Majority of respondents across categories (demographic-wise and type of respondent-wise)
agree that Online News due to its minute-by-minute updates is the most preferred source of
News for the highly informed Indian. The select class of most updated Indians likes to keep
themselves continuously updated with Flash News popping up on their smart-phones, tablets
and laptops being always connected to the internet at the workplace or in their homes.
4. Majority of respondents across categories (demographic-wise and type of respondent-wise)
agree that most of the Newspaper consumption happens to be tea-time news in the early
morning. Since yesterday's news turned out to be stale later in the day and daily paper
pursuers get a kick out of the chance to refresh themselves on what has unfolded the earlier
days at a young hour in the morning earlier/around breakfast and before leaving for the work
environment. Daily papers get read at lunch time in the early morning and lose its freshness
and claim later in the day.
5. Majority of respondents across categories (demographic-wise and type of respondent-wise)
believe that most of News Magazine consumption happens to be free time news in the
leisurely hours. Since most News Magazine happen to be distributed at a week by week or
fortnightly premise Magazine pursuers have a lot of time perusing inside and out articles
identified with whatever has occurred in India and the world at whatever point they get any
extra time and they complete the same whenever it might suit them.
6. Majority of respondents across categories (demographic-wise and type of respondent-wise)
think that most of online news consumption happens to be any-time news whenever one is
online. Since an extensive number of working Indians have access to the web (either at their
working environment as well as at their advanced mobile phones) they are quite often
IRJMST Vol 8 Issue 8 [Year 2017] ISSN 2250 – 1959 (0nline) 2348 – 9367 (Print)
International Research Journal of Management Science & Technology
http://www.irjmst.com Page 132
associated with whatever is going on around them and the world and consequently expends
online news at all the circumstances they feel free and are stuck to the web.
7. Majority of respondents across categories (demographic-wise and type of respondent-wise)
think that in terms of consumer feedback/engagement of audience, print are no match to
Online News. Print are largely one-way media unlike the Online medium which is two-way
and allows the audience to submit their feedback in real time which the other participants of
the audience can also read, thereby getting a far more nuanced grasp of the news article.
8. Majority of respondents across categories (demographic-wise and type of respondent-wise)
think that in terms of active participation/engagement of audience with each other and Print
are no match to Online News. The Online medium dissimilar to Print enables the crowd
members to draw in with each other at an individual level which is one of the greatest
qualities of the online medium. Accordingly those perspectives which have not been enough
managed in the news articles are completely examined by the members in the dialog area and
probably the most genuine pursuers make an exceptional point in either partaking or perusing
whatever other individuals need to say in regards to the news reports.
6. Conclusions
Print and Online News Media must focus towards the dependability and believability of
news, which they are introducing as it was clear from the examination. Because of simplicity of
operations, versatility and reasonableness for the majority, TV should proceed be the favored
medium for showcasing correspondence for quite a while to come, speaking to the lion's share of
high society, white collar class and lower working class. So Advertisers can't bear to overlook the
medium of TV. In the present advanced period there is have to serve the pursuer with moment to
minute updates about the happenings around the globe and for this the media brands must make their
essence on the web.
References
 Boyer, D. (2010). Digital Expertise in Online Journalism (and Anthropology). George
Washington University Institute for Ethnographic Research , 83 (1), 73-95.
 Brennan, J. R. (2011). Politics and Business in the Indian Newspapers of Colonial
Tanganyika. The Journal of the International African Institute , 42-67.
 Sadaf, A. (2011). Comparative Content Analysis of the Coverage in English & Urdu Dailies
of Pakistan of the Issue of Judicial Restoration. International Journal of Humanities and
Social Science , 1 (10), 263-267.
 Satpathi, S., & Roy, O. (2011). The Impact of The Electronic Media on The Modern Indian
Voter: A Study of The Post Liberalization Era. Global Media Journal , 1-29.
 Bhavsar, R. C., & Sonar, R. V. (2014). A Study of Online Marathi Newspapers. e-Library
Science Research Journal , 3 (1), 1-8.
 Sullivan, A. M. (2012). Media Covergence of Newspapers: A Content Analysis of Houston
Chronicle' s Print and Web Based Content. School of Communication Studies. Houston:
Liberty University.
 Panda, K., & Swain, D. K. (2011, March). E-Newspaper and E-News Service in the
Electronic Age: An Appraisal. Annual of Library and Information Studies , 55-62.
IRJMST Vol 8 Issue 8 [Year 2017] ISSN 2250 – 1959 (0nline) 2348 – 9367 (Print)
International Research Journal of Management Science & Technology
http://www.irjmst.com Page 133
 Patil, D. M. (2011). Recent Trend of Print Media in Development of Communication. Global
Media Journal , 2 (2), 1-20.
 www.KPMG.com/in assessed date on 10-09-2017
 www.kpmg.com/in/socialmedia assessed date on 1o-09-2017
 www.ficci-frames.com, assessed date on 1o-09-2017
 https:// assets.kpmg.com/content/dam/kpmg/in/pdf/2017/04/FICCI-Frames-2017.pdf

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A Comparative Analysis Of Print Vs. Online News Media Parveen

  • 1. IRJMST Vol 8 Issue 8 [Year 2017] ISSN 2250 – 1959 (0nline) 2348 – 9367 (Print) International Research Journal of Management Science & Technology http://www.irjmst.com Page 122 A Comparative Analysis of Print vs. Online News Media Parveen Ph.D Research Scholar Dept. of Business Administration, Chaudhary Devi Lal University, Sirsa Parveen.bose221188@gmail.com Abstract This paper gives an investigation of the print news and online news utilization design. Purpose of input has been inferred on both mass and customized media in particular print and its online rendition. By utilizing multi different investigation ANNOVA essential information, taking sample size of (N=400) the respondents were asked for to give data on the recurrence, timing and place of use of every medium and were made a request to report their input on the helpfulness of these media. The different statistic factors are related with media use designs. The fundamental discoveries of the investigation propose that the web is nearly more used among the media. Online/internet is underutilized as a result of absence of mindfulness and non accessibility of flag. Keyword: Print and Online News Media, Usage Pattern, Growth Perspective of both the Media. 1. Introduction The year 2016 was a mixed bag for the Indian Media and Entertainment (M&E) industry. While the digital ecosystem penetrated further into the citizens‟ day-to-day lives and opened up new avenues of consumption and revenue, it was time for introspection for many parts of the industry. A slow economic recovery in the U.S. and muted growth in China saw the global economy grow at a sluggish rate of 2.6 per cent, with Brexit, the U.S. election and the rise of protectionist and free trade rhetoric adding to business uncertainty. The Indian economy, nevertheless, is expected to outperform major economies with a projected Financial Year (FY) 2017 Gross Domestic Product (GDP) growth rate of 7.1 per cent, despite the speed bump caused by demonetization. In 2016, the Indian M&E industry grew at 9.1 per cent on the back of advertising growth of 11.2 per cent. This was aided by strong fundamentals and a steady growth in consumption, although demonetization shaved off 150 to 250 basis points in terms of growth across all sub segments at the end. In 2016, the Indian print industry grew at 7.0 percent. This growth was constrained by regional language newspapers, followed by Hindi and English at 9.4 percent, 8.3 percent and 3.7 percent, correspondingly. While English newspapers fought, Hindi and other regional language newspaper nonstop their growth scene. The readership for English newspaper is concerted mostly in Tier I cities with around 10 percent of Indian population speaking English, leaving 90 percent of the population to be provided by regional dailies. The switch to digital platforms continued rapidly in Tier I cities; this further scratched the growth of English newspapers. The revenue of traditional newspapers was parallel to past trends - advertising lead circulation revenue, local advertiser gradually more participated to ad spends and ad revenue in English newspapers ongoing to lead
  • 2. IRJMST Vol 8 Issue 8 [Year 2017] ISSN 2250 – 1959 (0nline) 2348 – 9367 (Print) International Research Journal of Management Science & Technology http://www.irjmst.com Page 123 Hindi and regional language newspapers Excluding small number of magazines with niche content and the print magazines sectors nonstop to fight throughout the digitalization age. (Sources: KPMG- FICCI Industry Reports 2017. (www.assets.kpmg.com) 2. Reviews and Literatures Boyer Dominic (2010) contemplated the association between advanced media rehearses and computerized self-understandings in western news reporting how German and US online columnists. The investigation demonstrated the online news writers' stories of computerized mastery as excellent of the robotic and informatics epistemologies that created in the impel of the industrialization of calculation before the Second World War and that applied an intelligent impact over the methodical techniques and hypotheses of the after war human sciences and complexity advanced intuition in news coverage and after war humanities with a specific end goal to uncover how in fact empowered practices impact master methods of understanding human social life. (Boyer, 2010) Brennan James R. (2011) inspected one little corner of Indian Sea print culture by mapping the memoirs of two Indian daily papers Tanganyika Feeling (1923-55) and Tanganyika Envoy (1929-62). The conflicting groups envision in Tanganyika‟s Indian daily papers were to a limited extent ideological, packaging together claims of magnificent citizenship with Diasporas universalisms of religion and country. Dedication to the English Domain was a continuous abstain of editors and letter essayists, to a limited extent to keep up support with frontier blue pencils yet additionally as a certifiable articulation of nonexclusive yearnings for self-change through an all inclusive „human advancement‟ that went with pioneer run the show. The examination worried about the logical inconsistencies that rose out of the very business of daily paper generation, The print culture made by this Indian diasporic intellectual elite, resting upon a financial base of Furnivallian pluralism, with its firm common particles connected together by the frail obligations of commercial center declaration, got itself unequivocally tied by the breaking points of pleasing sponsors, blue pencils, and perusing open want of pilgrim Tanganyika. (Brennan, 2011) Ayesha Sadaf (2011) inspected this depends on relative substance investigation of the scope of English and Urdu dailies of Pakistan on the issue of legal reclamation. Furthermore, to take a gander at the way that how much this issue was shrouded in the two dialects in driving national daily papers. Examination demonstrates that there is not really a contrast between two, both are consistently noteworthy in giving the perfect place and circumstance of the news stories interrelated to the issue. (Sadaf, 2011) Sathpathi and Roy (2011) demonstrated electronic media re-energized by the web upheaval in India advancement in mid 1990s and 21st century. Each inhabitant continues moving towards the web as an extra wellspring of data, they started voicing their assessment through online journals; sentiment surveys and person to person communication sites. This exploration utilizes subjective examination for concentrate the effect of the electronic media on political support when all is said in done and voting conduct specifically. The information for this investigation is gotten from the Decision Commission of India, media scope, conclusion surveys, web journals and long range interpersonal communication sites. (Satpathi & Roy, 2011)
  • 3. IRJMST Vol 8 Issue 8 [Year 2017] ISSN 2250 – 1959 (0nline) 2348 – 9367 (Print) International Research Journal of Management Science & Technology http://www.irjmst.com Page 124 Bhavsar and Sonar (2014) watched that the online daily papers are following the data worldwide in the ongoing; it contemplated 16 online Marathi daily papers through an assortment of points. It was broke down that the quantities of online pursuers are developing quick consistently the same number of the online daily papers are interface themselves to the long range informal communication destinations, as Facebook, Twitter, Google+, and others. (Bhavsar & Sonar, 2014) Sullivan Amanda (2012) proposed customary course of accepting news by means of a daily paper has advanced into a more computerized way, leaving many to scrutinize the eventual fate of the print distribution. The examination in view of the print and online substance of the Houston Annal. The Scientist adds to the field of research on news media by investigating the on the web and print substance of the distribution and sort and assess the topic by putting it into four classifications: redundancy, adjustment, portrayal, and special. The scientist request going to answer three research questions, finding how every medium exemplify components of media meeting. (Sullivan, 2012) 3. Research Methodology 3.1 Problem Statement: - “A Comparative Analysis of Print vs. Online News Media” 3.2 Research Design and Sampling Plan The present research being exploratory cum descriptive in nature, primary data has been collected from a sample of 400 respondents (200 Print News Readers, and 200 Online News Readers) from diverse socio-economic backgrounds and regions from the National Capital Region using judgmental sampling technique through a structured questionnaire. A 5-interval Likert scale from Strongly Disagree (measuring 1) to Strongly Agree (measuring 5) has been employed to measure the psychographics (attitudes, interests and opinion) of respondents. Secondary data has been collected from diverse offline and online national/international research publications. The Research Instrument (Questionnaire) finalized after conducting Pilot study and obtaining valuable feedback and suggestions, which comprises thirty five research statements eliciting critical information from the respondents (apart from relevant demographic information having a bearing on their psychographic attitudes, interests and opinions). 3.3 Research Hypothesis Demographic and psychographic characteristics of audience of Print News Media and Online News Media and their usage patterns; The following Eight hypotheses were formulated and tested to realize the first objective: - H01: There is no significant difference in respondent opinion (demographic wise and type of respondent wise) regarding Television News is the most preferred source of News for an “average” (educated as well as uneducated) Indian. H02: There is no significant difference in respondent opinion (demographic wise and type of respondent wise) regarding most preferred source of News for an “educated” Indian.
  • 4. IRJMST Vol 8 Issue 8 [Year 2017] ISSN 2250 – 1959 (0nline) 2348 – 9367 (Print) International Research Journal of Management Science & Technology http://www.irjmst.com Page 125 H03: There is no significant difference in respondent opinion (demographic wise and type of respondent wise) regarding Online News (is the most preferred source of News for a “highly- informed” Indian. H04: There is no significant difference in respondent opinion (demographic wise and type of respondent wise) regarding most of Newspaper consumption happens to be “Tea time” news in early morning. H05: There is no significant difference in respondent opinion (demographic wise and type of respondent wise) regarding most of News-Magazine consumption happens to be “Free time” news in the leisurely hours. H06: There is no significant difference in respondent opinion (demographic wise and type of respondent wise) regarding most of Online News consumption happens to be “Any time” news whenever one is “Online”. H07: There is no significant difference in respondent opinion (demographic wise and type of respondent wise) in terms of Consumer Feedback/Engagement of Audience, Print is no match to Online News. H08: There is no significant difference in respondent opinion (demographic wise and type of respondent wise) in terms of Participation/Engagement of Audience with each other; Print is no match to Online News. 3.4 Limitations of the Study The result of the examination relies upon the investigation of respondents and there may be a couple of chances of bumble. The present examination took a little case of 400 respondents which could be augmented to make it more illustrative to draw more critical deductions. The degree run was moreover kept to the National Capital Region which could be enlarged to make it a holder India consider which was past the strategies for the specialist. The examination focused on the print and online news media simply, help an investigation ought to similarly be conceivable to consider traditional media and electronic media and besides with different elements. 4. Data Analysis and Interpretation This chapter represents the analysis of data using different statistical tool like General Linear Model (Univariate), Mean and Standard Deviation. The questionnaire contained different questions containing various Electronic News Media aspects in respect of which the opinions of the respondents are collected. A sample size of 400 respondents was taken (200 respondents from Print News Readers and 200 respondents from Online News Readers) to know the opinion of respondents regarding preferable media for News Consumption in India. The respondents had to express their level of agreement with a set of eight statements on five point Likert scale ranging from strongly disagree to strongly agree. The present chapter is outcome of an empirical study conducting to achieve research objectives. It contains Descriptive statistics which represents mean value and standard deviation of
  • 5. IRJMST Vol 8 Issue 8 [Year 2017] ISSN 2250 – 1959 (0nline) 2348 – 9367 (Print) International Research Journal of Management Science & Technology http://www.irjmst.com Page 126 each statement, Demographic profiles of respondents, and comprises psychographic characteristics of News Readers, comprises the analysis of print media consumption. 4.1 psychographic characteristics of audience of Electronic News Media and their usage patterns The first objective was to analyze Demographic and psychographic characteristics of audience of Electronic News Media and their usage patterns. Eleven hypotheses were formulated to achieve this objective and a total sample size of 400 respondents has been collected i.e. 200 respondents from television news viewers and 200 from Online/Digital News Viewers. A General Linear Model (Univariate) test has been applied to check the significant level (demographic-wise and type of respondent-wise) of all the hypotheses to achieve this objective. Table1. Television news (given its vast reach and easy availability) is the most preferred source of news for an average Indian. Source Type III Sum of Square df Mean Square F Sig. Model 5964.366a 16 372.773 495.940 0.000 Gender 0.032 1 0.032 0.042 0.837 Residence 2.424 1 2.424 3.224 0.073 Age 0.866 4 0.217 0.288 0.886 Occupation 0.029 2 0.014 0.019 0.981 Education 4.085 2 2.043 2.717 0.067 Family Income (p.m.) 2.561 4 0.640 8.852 0.493 Type of Respondent 2.806 1 2.806 3.733 0.054 Error 288.634 384 0.752 Total 6253.000 400 Sources: Primary Data * Significant at 5% level a. R Squared = 0.954 (Adjusted R Squared = 0.952 Table 1 point to the affirmation of the hypothesis (H01) by majority of respondents across categories there being no significant difference in respondent opinion (gender-wise, residence-wise, age-wise, occupation-wise, education-wise, family income-wise) with respect to the research statement “Television news (given its vast reach and easy availability) is the most preferred source of news for an average Indian”. The value of adjusted R Squared is 95.4 percent, which represents that percentage of variation explained by all variables. Additionally, taking into account the mean value (3.85) and S.D (0.8683) along with little statistical difference among respondent opinion it could be concluded that the majority of respondents across categories validate the null hypothesis “There is no significant difference in respondent opinion (demographic-wise and type of respondent wise) regarding television news being most preferred source of News for an average Indian”. Table2. Print news (given its depth, variety and exhaustiveness) is the most preferred source of news for a highly-educated Indian. Source Type III Sum of Square df Mean Square F Sig. Model 5990.976a 16 374.436 463.782 0.000 Gender 1.822 1 1.822 2.256 0.134 Residence 4.760 1 4.760 5.896 0.016* Age 3.030 4 0.757 0.938 0.442
  • 6. IRJMST Vol 8 Issue 8 [Year 2017] ISSN 2250 – 1959 (0nline) 2348 – 9367 (Print) International Research Journal of Management Science & Technology http://www.irjmst.com Page 127 Occupation 0.698 2 0.349 0.432 0.649 Education 1.150 2 0.575 0.712 0.491 Family Income (p.m.) 3.661 4 0.915 1.134 0.340 Type of Respondent 7.526 1 7.526 9.322 0.002* Error 310.024 384 0.807 Total 6301.000 400 Sources: Primary Data * Significant at 5% level a. R Squared = 0.951 (Adjusted R Squared = 0.949) Table2. points to the affirmation of the hypothesis (H02) by majority of respondents across categories there being no significant difference in respondent opinion (gender-wise, residence- wise, occupation-wise, education-wise and family income-wise, type of respondent-wise) with respect to the research statement “Print news (given its depth, variety and exhaustiveness) is the most preferred source of news for an a educated Indian” but there is significant difference with respect residence- wise and type of respondent-wise (p-value is less than 0.05). The value of adjusted R Squared is 95.1 percent, which represents that percentage of variation explained by all variables. Additionally, taking into account the mean value (3.86) and S.D (0.9141) along with little statistical difference among respondent opinion it could be concluded that the majority of respondents across categories validate the null hypothesis “There is no significant difference in respondent opinion (demographic-wise and type of respondent wise) regarding Print news (given its depth, variety and exhaustiveness) is the most preferred source of news for an a educated Indian.” Table3. Online News (due to its minute to minute updates) is the most preferred source of News for a highly-informed Indian. Source Type III Sum of Square df Mean Square F Sig. Model 5975.469a 16 373.467 409.126 0.000 Gender 0.047 1 0.047 0.051 0.821 Residence 5.344 1 5.344 5.854 0.016* Age 7.286 4 1.822 1.996 0.095 Occupation 0.258 2 0.129 0.141 0.868 Education 1.837 2 0.918 1.006 0.367 Family Income (p.m.) 1.042 4 0.261 0.286 0.887 Type of Respondent 1.932 1 1.932 2.117 0.146 Error 350.531 384 0.913 Total 6326.000 400 Sources: Primary Data * Significant at 5 percent level a. R Squared = 0.945 (Adjusted R Squared = 0.942) Table3. points to the affirmation of the hypothesis (H03) by majority of respondents across categories there being no significant difference in respondent opinion (gender-wise, residence- wise, age-wise, occupation-wise, education-wise and family income-wise) with respect to the research statement “Online News (due to its minute to minute updates) is the most preferred source of News for a highly -informed Indian” but there is significant difference with respect residence-wise (p-value is less than 0.05). The value of adjusted R Squared is 94.5 percent, which represents that percentage of variation explained by all variables. Additionally, taking into account the mean value (3.86) and S.D (0.957) along with little statistical difference among respondent opinion it could be concluded that
  • 7. IRJMST Vol 8 Issue 8 [Year 2017] ISSN 2250 – 1959 (0nline) 2348 – 9367 (Print) International Research Journal of Management Science & Technology http://www.irjmst.com Page 128 the majority of respondents across categories validate the null hypothesis “There is no significant difference in respondent opinion (demographic-wise and type of respondent-wise) regarding online News (due to its minute to minute updates) is the most preferred source of news for a highly - informed Indian”. Table4. Most of Newspaper consumption happens to be Tea time News in early morning. Source Type III Sum of Square df Mean Square F Sig. Model 6257.013a 16 391.063 641.782 0.000 Gender 0.687 1 0.687 1.128 0.289 Residence 15.608 1 15.608 25.614 0.000* Age 5.612 4 1.403 2.303 0.058 Occupation 0.426 2 0.213 0.349 0.705 Education 1.029 2 0.514 0.844 0.431 Family Income (p.m.) 1.410 4 0.352 0.578 0.678 Type of Respondent 1.638 1 1.638 2.689 0.102 Error 233.987 384 0.609 Total 6491.000 400 Sources: Primary Data * Significant at 5% level a. R Squared = 0.964 (Adjusted R Squared = 0.962) Table4. points to the affirmation of the hypothesis (H04) by majority of respondents across categories there being no significant difference in respondent opinion (gender- wise, age-wise, occupation-wise, education-wise and family income-wise) with respect the research statement “Most of Newspaper consumption happens to be Tea time News in early morning” but there is significant difference with respect residence-wise (p-value is less than 0.05). The value of adjusted R Squared is 96.4 percent, which represents that percentage of variation explained by all variables. Additionally, taking into account the mean value (3.94) and S.D (0.8039) along with little statistical difference among respondent opinion it could be concluded that the majority of respondents across categories validate the null hypothesis “There is no significant difference in respondent opinion (demographic-wise and type of respondent-wise) regarding Most of Newspaper consumption happens to be Tea time News in early morning.” Table5. Most of News-Magazine consumption happens to be free-time news in the leisurely hours. Source Type III Sum of Square df Mean Square F Sig. Model 5796.814a 16 362.301 425.213 0.000 Gender 0.783 1 0.783 0.919 0.338 Residence 5.730 1 5.730 6.725 0.010* Age 2.782 4 0.696 0.816 0.515 Occupation 1.962 2 0.981 1.152 0.317 Education 2.473 2 1.237 1.451 0.236 Family Income (p.m.) 3.644 4 0.911 1.069 0.371 Type of Respondent 2.037 1 2.037 2.391 0.123 Error 327.186 384 0.852 Total 6124.000 400 Sources: Primary Data * Significant at 5% level a. R Squared = 0.947 (Adjusted R Squared = 0.944) Table5. points to the affirmation of the hypothesis (H05) by majority of respondents across categories there being no significant difference in respondent opinion (gender- wise, residence-wise,
  • 8. IRJMST Vol 8 Issue 8 [Year 2017] ISSN 2250 – 1959 (0nline) 2348 – 9367 (Print) International Research Journal of Management Science & Technology http://www.irjmst.com Page 129 age-wise, occupation-wise, education-wise and family income-wise, type of respondent-wise) with respect the research statement “Most of News-Magazine consumption happens to be free-time news in the leisurely hours”, but there is significant difference with respect residence-wise (p-value is less than 0.05). The value of adjusted R Squared is 94.7 percent, which represents that percentage of variation explained by all variables. Additionally, taking into account the mean value (3.80) and S.D (0.9339) along with little statistical difference among respondent opinion it could be concluded that the majority of respondents across categories validate the null hypothesis “There is no significant difference in respondent opinion (demographic-wise and type of respondent-wise) regarding Most of News-Magazine consumption happens to be free-time news in the leisurely hours”. Table6. Most of the online News consumption happens to be any-time news whenever one is Online. Source Type III Sum of Square df Mean Square F Sig. Model 5942.236a 16 371.390 439.130 0.000 Gender 0.158 1 0.158 0.186 0.666 Residence 34.773 1 34.773 41.116 0.000* Age 5.323 4 1.331 1.574 0.181 Occupation 0.192 2 0.096 0.113 0.893 Education 1.396 2 0.698 0.825 0.439 Family Income (p.m.) 5.757 4 1.439 1.702 0.149 Type of Respondent 4.837 1 4.837 5.719 0.017* Error 324.764 384 0.846 Total 6267.000 400 Sources: Primary Data * Significant at 5% level a. R Squared = 0.948 (Adjusted R Squared = 0.946) Table6. points to the affirmation of the hypothesis (H06) by majority of respondents across categories there being no significant difference in respondent opinion (residence-wise, age-wise, occupation-wise, education-wise and family income-wise, type of respondent-wise) with respect the research statement “Most of the online News consumption happens to be Any-time news whenever one is Online” but there is a significant difference with respect residence-wise and type of respondent-wise (p-value is less than 0.05). The value of adjusted R squared is 94.8 percent which is explained by all variables. Additionally, taking into account the mean value (3.83) and S.D (0.971) along with little statistical difference among respondent opinion it could be concluded that the majority of respondents across categories validate the null hypothesis “There is no significant difference in respondent opinion (demographic-wise and type of respondent-wise) Most of the online News consumption happens to be any-time news whenever one is Online”. Table8. In terms of Consumer Feedback/Engagement, Print is no match to Online News Source Type III Sum of Square df Mean Square F Sig. Model 6137.908a 16 383.619 535.493 0.000 Gender 1.435 1 1.435 2.004 0.158 Residence 1.159 1 1.159 1.617 0.204 Age 3.679 4 0.920 1.284 0.276
  • 9. IRJMST Vol 8 Issue 8 [Year 2017] ISSN 2250 – 1959 (0nline) 2348 – 9367 (Print) International Research Journal of Management Science & Technology http://www.irjmst.com Page 130 Occupation 1.988 2 0.994 1.388 0.251 Education 0.861 2 0.430 0.601 0.549 Family Income (p.m.) 3.399 4 0.850 1.186 0.316 Type of Respondent 3.514 1 3.514 4.906 0.027* Error 275.092 384 0.716 Total 6413.000 400 Sources: Primary Data * Significant at 5% level a. R Squared = 0.957 (Adjusted R Squared = 0.955) Table8. points to the affirmation of hypothesis (H07) by majority of respondents across categories there being no significant difference in respondent opinion (gender-wise, residence-wise, age-wise, occupation-wise, education-wise and family income-wise) with respect the research statement “In terms of Consumer Feedback and Engagement, Print is no match to Online News”, but there is a significant difference with respect type of respondent-wise (p-value is less than 0.05). The value of adjusted R Squared is 97.4 percent, which represents that percentage of variation explained by all variables. Additionally, taking into account the mean value (3.91) and S.D (0.852) along with little statistical difference among respondent opinion it could be concluded that the majority of respondents across categories validate the null hypothesis “There is no significant difference in respondent opinion (demographic-wise and type of respondent-wise) regarding In terms of Consumer Feedback/Engagement, Print are no match to Online News”. Table9. Participation/Engagement of Audience with each other, Print is no match to Online News. Source Type III Sum of Square df Mean Square F Sig. Model 6101.194a 16 381.325 634.424 0.000 Gender 0.845 1 0.845 1.406 0.236 Residence 2.228 1 2.228 3.707 0.055 Age 1.762 4 0.441 0.733 0.570 Occupation 0.622 2 0.311 0.517 0.597 Education 0.934 2 0.467 0.777 0.461 Family Income (p.m.) 3.282 4 0.821 1.365 0.245 Type of Respondent 6.151 1 6.151 10.234 0.001* Error 230.806 384 0.601 Total 6332.000 400 Sources: Primary Data * Significant at 5% level a. R Squared = 0.964 (Adjusted R Squared = 0.962) Table9. points to the affirmation of the hypothesis (H08) by majority of respondents across categories there being no significant difference in respondent opinion (gender-wise, residence-wise, age-wise, occupation-wise, education-wise and family income-wise, type of respondent) with respect the research statement “In terms of Participation/Engagement of Audience with each other, Print is no match to Online News”, but there is a significant difference with respect type of respondent-wise (p-value is less than 0.05). The value of adjusted R Squared is 96.4 percent, which represents that percentage of variation explained by all variables. Additionally, taking into account the mean value (3.86) and S.D (0.981) along with little statistical difference among respondent opinion it could be concluded that the majority of respondents across categories validate the null hypothesis “There is no significant difference in respondent opinion (demographic-wise and type of respondent-wise) regarding In terms of Participation/Engagement of Audience with each other, Print is no match to Online News”.
  • 10. IRJMST Vol 8 Issue 8 [Year 2017] ISSN 2250 – 1959 (0nline) 2348 – 9367 (Print) International Research Journal of Management Science & Technology http://www.irjmst.com Page 131 5. Research Findings Demographic and psychographic characteristics of audience of Print News Media and Online News Media and their usage patterns; 1. Majority of respondents across categories (demographic-wise and type of respondent-wise) agree that Television News given its vast reach and easy availability is the most preferred source of News for an average Indian. Indian TV advertise is the second biggest market on the planet after China with an infiltration of three-fifth of aggregate family units along these lines converting into a scope of 800 million or 80 cr. individuals (considering the normal no. of group of onlookers in a family unit is five). Since news is a critical type among various station classes a normal Indian favors getting the main part of his/her news utilization from TV medium which is effortlessly available and always refreshed with most recent breaking news round the clock. 2. Majority of respondents across categories (demographic-wise and type of respondent-wise) think that Print News given its depth, variety and exhaustiveness is the most preferred source of News for the highly-educated Indian. By far most of exceedingly taught and complex Indians jump at the chance to begin their day with the crisp point of view and thoroughness of Print News and view it as very solid and free from the ills of Yellow News coverage stopping the dominant part of TV News. The profoundly mindful class of Indians likes to dive profound into the article sections to show signs of improvement handle of what is occurring around them and on the planet. 3. Majority of respondents across categories (demographic-wise and type of respondent-wise) agree that Online News due to its minute-by-minute updates is the most preferred source of News for the highly informed Indian. The select class of most updated Indians likes to keep themselves continuously updated with Flash News popping up on their smart-phones, tablets and laptops being always connected to the internet at the workplace or in their homes. 4. Majority of respondents across categories (demographic-wise and type of respondent-wise) agree that most of the Newspaper consumption happens to be tea-time news in the early morning. Since yesterday's news turned out to be stale later in the day and daily paper pursuers get a kick out of the chance to refresh themselves on what has unfolded the earlier days at a young hour in the morning earlier/around breakfast and before leaving for the work environment. Daily papers get read at lunch time in the early morning and lose its freshness and claim later in the day. 5. Majority of respondents across categories (demographic-wise and type of respondent-wise) believe that most of News Magazine consumption happens to be free time news in the leisurely hours. Since most News Magazine happen to be distributed at a week by week or fortnightly premise Magazine pursuers have a lot of time perusing inside and out articles identified with whatever has occurred in India and the world at whatever point they get any extra time and they complete the same whenever it might suit them. 6. Majority of respondents across categories (demographic-wise and type of respondent-wise) think that most of online news consumption happens to be any-time news whenever one is online. Since an extensive number of working Indians have access to the web (either at their working environment as well as at their advanced mobile phones) they are quite often
  • 11. IRJMST Vol 8 Issue 8 [Year 2017] ISSN 2250 – 1959 (0nline) 2348 – 9367 (Print) International Research Journal of Management Science & Technology http://www.irjmst.com Page 132 associated with whatever is going on around them and the world and consequently expends online news at all the circumstances they feel free and are stuck to the web. 7. Majority of respondents across categories (demographic-wise and type of respondent-wise) think that in terms of consumer feedback/engagement of audience, print are no match to Online News. Print are largely one-way media unlike the Online medium which is two-way and allows the audience to submit their feedback in real time which the other participants of the audience can also read, thereby getting a far more nuanced grasp of the news article. 8. Majority of respondents across categories (demographic-wise and type of respondent-wise) think that in terms of active participation/engagement of audience with each other and Print are no match to Online News. The Online medium dissimilar to Print enables the crowd members to draw in with each other at an individual level which is one of the greatest qualities of the online medium. Accordingly those perspectives which have not been enough managed in the news articles are completely examined by the members in the dialog area and probably the most genuine pursuers make an exceptional point in either partaking or perusing whatever other individuals need to say in regards to the news reports. 6. Conclusions Print and Online News Media must focus towards the dependability and believability of news, which they are introducing as it was clear from the examination. Because of simplicity of operations, versatility and reasonableness for the majority, TV should proceed be the favored medium for showcasing correspondence for quite a while to come, speaking to the lion's share of high society, white collar class and lower working class. So Advertisers can't bear to overlook the medium of TV. In the present advanced period there is have to serve the pursuer with moment to minute updates about the happenings around the globe and for this the media brands must make their essence on the web. References  Boyer, D. (2010). Digital Expertise in Online Journalism (and Anthropology). George Washington University Institute for Ethnographic Research , 83 (1), 73-95.  Brennan, J. R. (2011). Politics and Business in the Indian Newspapers of Colonial Tanganyika. The Journal of the International African Institute , 42-67.  Sadaf, A. (2011). Comparative Content Analysis of the Coverage in English & Urdu Dailies of Pakistan of the Issue of Judicial Restoration. International Journal of Humanities and Social Science , 1 (10), 263-267.  Satpathi, S., & Roy, O. (2011). The Impact of The Electronic Media on The Modern Indian Voter: A Study of The Post Liberalization Era. Global Media Journal , 1-29.  Bhavsar, R. C., & Sonar, R. V. (2014). A Study of Online Marathi Newspapers. e-Library Science Research Journal , 3 (1), 1-8.  Sullivan, A. M. (2012). Media Covergence of Newspapers: A Content Analysis of Houston Chronicle' s Print and Web Based Content. School of Communication Studies. Houston: Liberty University.  Panda, K., & Swain, D. K. (2011, March). E-Newspaper and E-News Service in the Electronic Age: An Appraisal. Annual of Library and Information Studies , 55-62.
  • 12. IRJMST Vol 8 Issue 8 [Year 2017] ISSN 2250 – 1959 (0nline) 2348 – 9367 (Print) International Research Journal of Management Science & Technology http://www.irjmst.com Page 133  Patil, D. M. (2011). Recent Trend of Print Media in Development of Communication. Global Media Journal , 2 (2), 1-20.  www.KPMG.com/in assessed date on 10-09-2017  www.kpmg.com/in/socialmedia assessed date on 1o-09-2017  www.ficci-frames.com, assessed date on 1o-09-2017  https:// assets.kpmg.com/content/dam/kpmg/in/pdf/2017/04/FICCI-Frames-2017.pdf