Information Seeking Behaviour of Faculty Members in t he

[Information Seeking Behaviour of Faculty Members in the Business Management Educational

Institutions Information Knowledge Resource Centre’s in Chennai City: An Analytical Study the date]

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ww.ijnglt.com International Journal of Next Generation Library and Technologies (ISSN 2395 – 5201) Page 1

Information Seeking Behaviour of Faculty

Members in the Business Management

Educational Institutions Information Knowledge

Resource Centre’s in Chennai City:

An Analytical Study 1. A. Kumar, Research Scholar 2. Dr. V. Kasirao, Research Guide

Bharathiar University, Coimbatore, Tamil Nadu

Abstract:

This entitled of paper Information seeking behavior of faculty members in the Business

managementeducational Institutions Knowledge Resource Centre in Chennai City. The recent year

advance the development of the digital information revolutionary, information is diffusion in the world

and, obviously to get open sources anywhere anybody very easy to retrieval each one. But some

technique to use, to collect information. Faculty members to search the information use of from

different idea of research, innovative methods, knowledge management, Awareness, various needs of

information, tools for information seeking etc... the researcher have been observed, treated and given

solution, this paper prepared the faculty members many of them to aware collect information, seeking

for information, information gathering activities, the faculty members to get sources in resource centre ,

to measure of spent on time, purpose of information seeking preference of printed material, electronic

and digital material, tools of information seeking, management database accessibility and finally the

user satisfaction. The researcher have been used the data analysis the SPSS software 20(Version)

Key words: Information seeking behaviour, resource centre resources, Information sources, the

management faculty members

Introduction

21st century in advancement development in the world kinds of economically, politically,

scientifically, information explosion, medically and business oriented etc. The human being to need and

very essentials for information because of new idea, innovation thinking, analytical thinking, empirical

thinking, and life oriented thinking moreover to every project to success of the back bone the

information. Hence the information is vital role in all, but now the information is shift to transfiguration

for paper document to digital formation, and virtual formation. Simultaneously to shift the human

endeavors the seeking knowledge behavior is very rapid and quickly to access the information.



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Investigations of those who seek and use information have been an important aspect of

information science since its beginnings. Some reviewers of the literature point to studies as early as

1916, or even 1902, as the start of this genre. Whatever is the case, it is clear that the explosion of

scientific and technical literature during and immediately after World War II created a situation in which

attention to information seeking was inevitable.

The Shift to a Focus on People and Their Behaviors

A major shift in information behavior (IB) research occurred in the 1980s. While the early use

studies focused on a particular system or service and its users, the new generation of studies placed the

information seeker/user in the center and did not presume the use of a particular resource or set of

resources.

Information Behaviors as Dynamic Processes

As the attention of IB researchers focused on people and their many uses of information, rather

than on their use of particular sources and services, it became clear that an important aspect of

information behaviors is that they occur over time. An episode of information seeking may last just a

few seconds (for example, when someone is looking up the phone number of a new restaurant).

However, a complete sequence of information seeking and use may span months or even years as when

a doctoral student is preparing the literature review for his dissertation. Barbara M. Wildemuth and

Donald O.Case (2010)1

Information seeking behavior has been focus of research for facilitating quality and modified

library services to users. The analysis of information seeking behavior and preferences of users enables

the Library and Information Science Professionals (LISPs) to design and develop the library and

information services consequently. Knowledge of reasons and motivation why people seek information

and the types of information they search for an Impact "collection development, reference services,

programming, and budget allotment practices", Agosto et.al. (2005)2. Uttor, (1999)

3 defined information

as data value in planning, decision making and evaluation of any programme. He goes further to say that

it is a data that have been subjected to some processing functions capable of answering user’s query be it

recorded, summarized, or simply collected that would help decision making.

Information Seeking

Information-seeking behavior be different to the among user groups. Academic libraries must

understand the information needs of faculty and students in order to address those needs. The concept of

information seeking is basically the consequences of a felt information need by a user who may then



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make demands upon formal and informal information sources or services in order to satisfy the needs

(Boadi&Letsolo, 2004)4. Information seeking means different things in different context that involves

the search, retrieval, recognition and application of meaningful content (Kingrey, 2002)5. According to

Backlund (2003)6 information seeking is a process in which participants can act as both receivers and

senders. It is defined as a purposive process, in which the individual attempts to find information

through information sources in order to satisfy his or her information needs (Byström, K, 1999)7.Uhegbu

(2007)8 describes information-seeking behavior as the way in which information users conduct

themselves when searching for information, describes the factors affecting choice of information,

particularly among students, which includes course of studies, level, age, and religion. Ajiboye and Tella

(2007)9 agree when they describe information-seeking behavior as the way and manner people gather

and sought for information for their personal use, knowledge updating and development. Ikoja-Odongo

and Ocholla (2004)10

described information seeking as a process that requires an information seekers, or

what might be called ‘’personal information structures’ ‘such as a person’s cognitive abilities, his or her

knowledge, skills in relation to the problem or task domain, knowledge and skills specific to a system

and knowledge and skills regarding information seeking.

Scope and Limitations of Study:

The scope of the study is limited to the libraries attached to Business management educational

intuitions in Chennai city only. Efforts are made to focus attention on assessing information knowledge

resource Centre infrastructure or Management libraries, Management faculty members to needs and

information seeking behaviour of management faculty members. The concentration of the study is to

analyses information seeking behavior of faculty members and status of business management

educational knowledge resource Centre. The researcher has covered only the management institutes

where only full time MBA courses are conducted and has excluded distance and open learning Centre’s

Literature

They have been number of literature published so-far emphasizing need of the information

seeking behavior of faculty members. In this chapter focused an attempt is need to review of literature in

the information seeking behavior of faculty members of management educational institutions

information knowledge resource Centre and libraries. In the current study primary and secondary

sources were referred to internet resources like LISA, LISTA, Journals, thesis technical report published

in library information science and management science, conference proceedings, books and reference



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resources like wiki, encyclopedia, e-resource available on the website, Google scholar, some

management data base like Emerald insight, EBSCO, Science Direct, Research gate, Library inflation

science journals, library Trends, Library philosophy and practice, and thesis database like INFLIBNET

Shodganga etc.

In this chapter a detailed survey of recent studies on information needs and information seeking

behaviors and its interrelated aspects of the existing study.

In this chapter’s covers to the review of related studies on following topics

Information needs, User needs of information, Information Access Patterns, Information searching on

web, Information gathering habits and Information search process.

Purposes

The purposes of the present literature review are:

1) To appreciate the problem under study;

2) To digest the literature in a field;

3) To classify the research gaps and also to read between the lines new ways to interpret;

4) To avoid unintentional duplication of well-established definitions;

5) To define the limit of the study;

6) To make the objectives of the existing study more clear and abridged;

7) To studies relevant that work topic in use to understand the important work; and (ISB)

8) To recognize the latest improvements in the field of study so as to improvement in designing the

study.

Vimaladevi.P.N (2000), information needs and search patterns in humanities user studies.Wales

(2000) found that a greater proposition of respondents used the Internet for veterinary information than

used a veterinary college library. Shaheen Majid and GavaMugeraaKassim (2000), the purpose of

this study is to identify the information channels used by the International Islamic University Malaysia

(IIUM) law faculty members, information sources preferred by them, methods employed for getting the

needed information and their library use pattern.

Wilson T.D. (2000)information seeking is a term recitation the ways individuals seek, evaluate,

excellent and use information.Mahaptra& Panda (2001) Information seeking behavior at length



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provides an insight into the many means of Information Seeking Behavior such as its concept, related

psychological characteristics, behavior selections and ecological guidance, impact of dissension

theory.Akinola Sarah (2009)the study of the investigate the information seeking patterns and types of

information sources used on the internet by lecturers in faculties of Education in ObafemiAwolowo

University and university of Ibadon.

Jogender Singh (2010),

It may also be inspired by a variety of needs, including personal

professional, entertainments etc. The collection should meet the needs and requirements. Users, it is

recommended that library staff focus on assisting users to develop a better image for the library.

SenthilVelmurugan and Amudha (2012) investigated usage patterns of OPAC among faculty

members in Indian colleges, the result is found the majority of users are daily visitors of the library out

of these who are coming to the library more than half of the respondents (58.75%) are using OPAC for

finding the documents in the library.

Krishna. B, Mahadeva.S and Rajesha.C (2014),user studies @ GSSS institute of engineering

and Technology for women: A survey. This study observed that the objectives of the user study to

identify the user’s purpose of visiting to the library, to examine knowledge about library services and

services of the users, to identify the information retrieval tools by the users, to determine user level of

satisfaction s with availed the library facilities and services, to identify the skills level for use of

information and services by the users.

Purnima and Vikas (2005) in their article to study the existing information needs of the college

and Universities faculties who plays a great role in shaping the future Generation in the emerging

information technology’s needs. Objective of the study is: To know the existing resources and service

provided at the Colleges and University of Manipur, to create intellectual capital, to appraise the attitude

and opinion of faculties in the use of ICT, to know the information needs of the faculties, access to

information of their choice and if not the problem faced thereby, and to know the networking

capabilities of the faculties.

Kaushik, Kiran, et al. (2011)revealed that objectives of ‘Information seeking behavior of users

of cyber Library. A case study of Tata Institute of social science. The objectives of this study are. To



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study the gender wise and residency wise profile of users, to understand the preference for specific

online resources and Convenience of accessing e-resources compared to print resources.

Fereydoon, Azadeh and Shahrzad, Ghasemi (2016), this paper observed that information

seeking behavior of faculty members based on Wilson’s models, the author investigated payame Noor

University (PNU) in Mazandaran, Iran. Information seeking behavior inventory was employed to gather

information and research data. The author used Likert scale and collected the data, the analysis of data in

SPSS software used

Research Methodology

This study purposes at to find out the Information Seeking Behaviour of Faculty Members in the

Business Management Educational Institutions Information Knowledge Resource Centres in Chennai

City: An Analytical Study. Even though selecting the sample questionnaire methods was adopted. Total

number of 400 questionnaire was distributed and among them 475faculty members responded the

questionnaire.

Statement of the Problem

The present study examined the “Information Seeking Behaviour of Faculty Members in the

Business Management Educational Institutions Information Knowledge Resource Centres in Chennai

City: An Analytical Study “The focus of this study was on obtaining information on the nature of

academic information required by the faculty members, the sources consulted and the general pattern of

information seeking by them.

Descriptions of the Questionnaire

It consists of the questions relating to the back ground information of the faculty members. It also

consists of questions to know the extent of use of information knowledge resource Centre. The final

questionnaire consists of different segmentations which are listed below:-Perceptions

Demographic of the Faculty Members

Frequently visit the Information knowledge resource Centre

Time spent in resource Centre

Types of resources

Format of information sources



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Purpose of Information seeking

E-journals online databases seeking

Availability of information sources

Frequently of use information sources

Accessibility of business relevant information sources

Preferred the search engine

Problems of search

Usefulness of e-resources

Library and resource Centre services

Level of satisfaction of resource Centre service

Opinion of information knowledge resource Centre resources and services

Update ICT developments.

The information seeking behavior of faculty members of in the business management educational

institutional of the knowledge resource Centre in Chennai city has been undertaken with the following

objectives.

1. To investigate the information needs and information seeking behavior of faculty members of

business educational intuitions in Chennai City

2. To assess the adequacy, availability and accessibility of information sources used by business

management faculties IKRC

3. To validate the perceptions of faculty members on the quality of information availability in IKRC

4. To find out the reason for information seeking from knowledge resource Centre

5. To analyze the information seeking barriers encountered by the faculty members

6. To know the level of satisfaction ICT, E-journals online database service providing by IKRC.

7. To suggest based on measures for enhancing quality of acquisitions and collection of services through

IKRC

Hypothesis



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There would be significant difference between, Assistant Professor, Associate professor, and professor

using the information knowledge resource Centre, yet they are all bound with teaching activity.

The Succeeding hypothesis is outlined to test by Statistical tools in Chi-square.

1. Null Hypothesis: (Ho) in all the faculty members in business management educational institution are

exhausting same methods and sources for information seeking.

Alternative Hypothesis: (H1) in all the faculty members in business management educational institution

are exhausting same methods and sources for information seeking.

2. Null Hypothesis: (Ho) in all the faculty members in business management educational institution are

utilizing the information Knowledge resource Centre resources and services uniformly.

Alternative Hypothesis: (H1) in all the faculty members in business management educational institution

are utilizing the information Knowledge resource Centre resources and services uniformly.

3. Null Hypothesis: (Ho) in all the faculty members to know the level of satisfaction ICT, E-journals and

online database service providing by information Knowledge resource Centre.

Alternative Hypothesis: (H1) in all the faculty members to know the level of satisfaction ICT, E-journals

and online database service providing by information Knowledge resource Centre.

Research Method

The research question, ethics, budget and time are all major considerations in any design. This is before

looking at the statistics required, and studying the preferred methods for the individual scientific

discipline. Every experimental design must make compromises and generalizations, so the researcher

must try to minimize these, whilst remaining realistic.

Sample Selection

A total of 475 questionnaires with open and close-ended questionnaire on the information seeking

behavior of the faculty members were distributed randomly to respondents. Out of 475, 430 filled in

questionnaires were received by the user but 30 questionnaires were rejected due to incomplete

information. There were 400 correct filled questionnaire collected from the faculty members.

The population structure is as follows;



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(i) Assistant professor 151; (ii) Associate professor 87;(iii) and Professor 162

Collection of Questionnaire and Interpretation

After collecting the data from the respondents, the data were checked and analyzed according to

objectives and hypothesis stated. Each data was recorded on Excel data sheets and computing the data

using SPSS software statistics 20. Further the study has also adopted the Reliability analysis.

Statistical Tools and Techniques

The data had been tested with the statistical tool of mean, median, standard deviation, and Means

score value, ANOVA, Regression, Correlation and Chi-square for this study.

Data analysis and interpretation

Demographic Details of Respondents table

Table 1 Gender VS Designation

Designation

Designation Asst.

professor

Associate

professor Professor Total

Gender

Male 97 56 117 270

64.20% 64.40% 72.20% 67.50%

Female

54 31 45 130

35.80% 35.60% 27.80% 32.50%

Total 151 87 162 400

100.00% 100.00% 100.00% 100.00%



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The table shows that overall the majority of teaching faculty members in gender wise male

270(67.5) and remaining the teaching faculty members in 130 (32.5) Percent of Female. The designation

wise represent that 97(64.2), percent of ‘assistant professor in male’ 56 (64.4) percent of them ‘associate

professor’, 177(72.2) percent of ‘Professor’, and respectively the female designation wise the 54(35.8)

percent of ‘Assistant professor’, 31(35.6) percent of ‘Associate professor’, and respectively 45(27.8)

percent of ‘professor’.

Table No. 2 Age

Age Designation

Total Asst. professor Associate professor Professor

Below 30 47 6 4 57

31.10% 6.90% 2.50% 14.30%

30 to 40 33 37 41 111

21.90% 42.50% 25.30% 27.80%

40 to 50 27 42 91 160

17.90% 48.30% 56.20% 40.00%

50 and above 44 2 26 72

29.10% 2.30% 16.00% 18.00%

Total 151 87 162 400

100% 100% 100% 100%



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Source: Primary Data

From the above table 2 the researcher infers that inclusive the mainstreamthe age group 160

(40.0) percent of the respondents are stated that 40 to 50 age; 111 (27.8) per cent of 30 to 40 respondent,

72 (18.0) percent of respondent 50 and above and remaining the age group of below 30 respondent 57

(14.3).

Table No. 2 .1 Age - Chi-Square Tests

Value df

Asymp. Sig. (2-

sided)

Pearson

Chi-Square

111.563a 6 .000

The Chi-square test has been employed to test the relationship between the personal characteristics,

particularly age, these propositions hold good in the same would have to tested through statistical

analysis. Null hypothesis H0. There is no association between result reveals that the calculated value

of socio economic characteristics in the age chi-square value is significant at 0.01 levels of its 6

degree of freedoms. So stated that hypothesis is rejected the table value 111.563.

Table No. 3 Educational Qualification

Educational Qualification

Designation

Total Asst. professor

Associate

professor Professor

Post graduate 57 10 10 77

37.70% 11.50% 6.20% 19.30%

M.Phil. 36 46 66 148

23.80% 52.90% 40.70% 37.00%

Ph.D. 58 31 86 175

38.40% 35.60% 53.10% 43.80%



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Total 151 87 162 400

100.00% 100.00% 100.00% 100.00%


From above the table 4 the researcher overall infers that educational qualification the faculty

members in a large majority of respondent175 (43.8) highest degree in Ph.D. holder, 148 (37.0)

percent of the education in M.Phil, qualification and respectively the post graduate respondent 77

(19.3).

Table No.3.1 Educational Qualification Chi-Square Tests

Value df Asymp. Sig. (2-sided)

Pearson Chi-Square 63.078a 4 000

The chi-square test was applied for the purpose of examining the significance of relationship

between levels of educational qualification towards impact of library user. Null hypothesis H0.

There is no association between result reveals that the calculated value of socio economic

characteristics in the educational qualification chi-square value is significant at 0.01 levels of its 4

degree of freedoms. So stated that hypothesis is rejected the table value 63.078. The association

described by the cross tabulation is a significant one, the result s of chi-square are typically

reported as follow, X2=63.078. df = 4, P<.001

Table 4 Total years of professional services

Professional

services

Designation Total

Asst.

professor

Associate

professor Professor

Below 5 years 56 5 7 68

37.10% 5.70% 4.30% 17.00%

5 to 10 years 19 41 34 94

12.60% 47.10% 21.00% 23.50%



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10 to 15years 33 30 65 128

21.90% 34.50% 40.10% 32.00%

15 to 20years 16 5 33 54

10.60% 5.70% 20.40% 13.50%

above 20 Years 27 6 23 56

17.90% 6.90% 14.20% 14.00%

Total 151 87 162 400

100.00% 100.00% 100.00% 100.00%


Whole this table the researcher infers that total year of professional services the faculty members

in a large majority of respondent 128 (32.0) percent of ‘10 to 15 years’, 94 (23.5) respondents 5 to 10,

68 (17.0) percent of ‘below 5 years’, 56 (14.0) percent of respondents in the above 20 years and

enduring (13.5) percent of ‘15 to 30 years’.

Table No. 4 .1Total Years of professional services Chi-Square Tests


Pearson Chi-Square 110.006a 8 .000

Hence the chi-square test was applied for the purpose of examining the significance of

relationship between levels of total years of professional service towards impact of library user. Null

hypothesis H0, there is no association between results reveals that the calculated value of socio economic

characteristics in the total years of professional service chi-square value is significant at 0.01 levels of its

8 degree of freedoms. So stated that hypothesis is rejected the table value 110.006. The association

described by the crostabulation is a significant one, the result s of chi-square are typically reported as

follow, X2=110.006

a. df = 8, P<.001



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Table No. 5 Frequency Visit Library

Frequency Visit

Library

Designation


Associate

professor Professor

Occasionally 0 0 1 1

0.00% 0.00% 0.60% 0.30%

Once in a month 8 5 5 18

5.30% 5.70% 3.10% 4.50%

Three times in a week 17 14 30 61

11.30% 16.10% 18.50% 15.30%

Twice a week 23 9 20 52

15.20% 10.30% 12.30% 13.00%

Once in a week 30 23 40 93

19.90% 26.40% 24.70% 23.30%

Daily 73 36 66 175

48.30% 41.40% 40.70% 43.80%

Total 151 87 162 400

100.00% 100.00% 100.00% 100.00%


Above this table describes that the such as frequently visit the library ‘Daily’, Once in a week’,

‘Twice a week’, ‘Three times in a week’, ‘Once in a month’ and ‘Occasionally’ founded on the

responses the statistical calculated. The faculty members state that the frequently visit the library the

researcher infer that the assistant professor 73(48.3) percent of ‘daily’ 30(19.9) percent of ‘Once in a

week’, 23(15.2) percent of ‘Twice a week’ 17(11.3) percent of ‘Three times in a week’, and respectively

8(5.3) percent of ‘Once in a month’.

The Associate professor 36(41.4) percent of ‘daily’ 23(26.4) percent of ‘Once in a week’,

09(10.3) percent of ‘Twice a week’ 14(16.1) percent of ‘Three times in a week’, and respectively 5(5.7)

percent of ‘Once in a month’.



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Similarly assistant professor 66(40.7) percent of ‘daily’ 40(24.7) percent of ‘Once in a week’,

20(12.3) percent of ‘Twice a week’ 30(18.5) percent of ‘Three times in a week’, and respectively 5(3.1)

percent of ‘Once in a month’ and remaining 1(0.6) percent of ‘Occasionally’

Inclusive this table the researcher infer that the faculty members in the highly indicate point of

175(48.8) percent of ‘daily’ 93(23.3) percent of ‘Once in a week’, 2352(13.0) percent of ‘Twice a week’

61(15.3) percent of ‘Three times in a week’, 18(4.5) percent of ‘Once in a month’, and respectively

1(0.3) percent of ‘occasionally’

Table No. 6 Time spent

Time spent

Designation


Associate

professor Professor

Below one hour 31 5 10 46

20.50% 5.70% 6.20% 11.50%

Two hours 46 26 26 98

30.50% 29.90% 16.00% 24.50%

Three hours 30 35 63 128

19.90% 40.20% 38.90% 32.00%

Above 5 hours 44 21 63 128

29.10% 24.10% 38.90% 32.00%

Total 151 87 162 400

100.00% 100.00% 100.00% 100.00%


From the above table 6 the researcher infers that the majority of 128 (32.0) and 128 (32.0)

percent of ‘above 5 hours’ and ‘three hours’ the faculty members’ time spent in the library or resource

Centre. (24.5) percent of time spent in ‘two hours’ in faculty members and remaining the (11.5) percent

of time spent in ‘below one hour’. The researcher found in the table 7 some faculty members visit the

library a few hours utilizing, so the change the library environment digitally forms and new arrivals

increase or to create awareness.



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Table No. 6.1 Time spent Chi-Square Tests

Value df

Asymp. Sig.

(2-sided)


Null hypothesis H0. There is no association between result reveals that the calculated value of socio

economic characteristics in the time spentchi-square value is significant at 0.01 levels of its 6 degree of

freedoms. So stated that hypothesis is rejected the table value 40.810a.

Table No. 7 Centre for Gathering Information *Age

Centre For Gathering

Information

Age

Total Age

Below 30

Age

30 to 40

Age

40 to 50

Age

50 and

above

College library 39 52 68 17 176

68.40% 46.80% 42.50% 23.60% 44.00%

University library 6 15 23 17 61

10.50% 13.50% 14.40% 23.60% 15.30%

Department library 8 25 41 19 93

14.00% 22.50% 25.60% 26.40% 23.30%

General and public library 1 4 9 9 23

1.80% 3.60% 5.60% 12.50% 5.80%

Above first three libraries 3 15 19 10 47

5.30% 13.50% 11.90% 13.90% 11.80%

Total 57 111 160 72 400

100.00% 100.00% 100.00% 100.00% 100.00%


Comprehensive this table the researcher conclude that the respondents a large majority of

176(44.0) percent of ‘College library’ 61(15.3) percent of ‘University library, 93(23.3) percent of

‘Department library’ 23(5.8) percent of ‘General and public library, and respectively 47(11.8) percent of

‘Above first three libraries’.



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Table No. 7.1 Centre for Gathering Information Chi-Square Tests



Null hypothesis H0. There is no association between result reveals that the calculated value of

socio economic characteristics in the age chi-square value is significant at 0.01 levels of its 12 degree of

freedoms. So stated that hypothesis is rejected the table value 32.848a. The association described by the

crostabulation is a significant one, the result s of chi-square are typically reported as follow, X2=32.848

a.

df = 12, P<.001

Table No. 8 ANOVA

Sum of

Squares df

Mean F Sig.

Square

Time spent Information

Gathering Activities

Between Groups 0.2 2 0.1 0.502 0.606

Within Groups 78.84 397 0.199

Total 79.04 399

Reason for seeking

Information-

Between Groups 1.333 2 0.666 2.534 0.081


Total 105.8 399

Purposes of online

information seeking

behavior

Between Groups 4.116 2 2.058 7.441 0.001


Total 113.9 399

Available of Resources

Between Groups 0.094 2 0.047 0.311 0.733


Total 59.89 399

Frequently Use of

Information Sources

Between Groups 3.19 2 1.595 5.432 0.005


Total 119.8 399

Formet of Document

Between Groups 2.431 2 1.215 2.878 0.057


Total 170.1 399

Accessibility Business

Information

Between Groups 1.816 2 0.908 4.499 0.012


Total 81.95 399

Search Engine

Between Groups 1.196 2 0.598 1.949 0.144


Total 123.1 399

Important of information

sources

Between Groups 4.664 2 2.332 7.375 0.001




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Total 130.2 399

Important management

databases

Between Groups 4.151 2 2.075 7.338 0.001


Total 116.4 399

Satisfied information

services

Between Groups 1.673 2 0.836 3.803 0.023


Total 88.98 399

Satisfied ICT Products

and Services

Between Groups 5.056 2 2.528 8.664 0


Total 120.9 399

Satisfied E-Journals

Online Databases

Between Groups 2.031 2 1.015 4.371 0.013


Total 94.27 399

Opinion Library

Resources and Services

Between Groups 2.743 2 1.372 4.439 0.012


Total 125.4 399


From the above results research has been summarized as per the hypothesis framed study. The

significance of the fourteen parameters of the study to evaluate as 1 percent and 5 percent level and

respondent opinion of library available of resources and services in management educational

institutional in Chennai city has been identified for the study.

All the hypothesis of above ANOVA table are rejected, remaining is accepted. Hence most of the

respondents are significantly not differed in their views on available of resources, format of document,

searching engine, time spent in gathering information activities, reason for information seeking, opinion

library resources and services.

Table No.9 Coefficientsa

Model

Unstandardized

Coefficients

Standardized

Coefficients

t Sig.

B Std.

Error Beta

(Constant) -1.722 .166 -10.363 .000



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Time spent Information Gathering Activities .162 .036 .126 4.527 .000

Reason for seeking Information- .105 .027 .119 3.843 .000

Purposes of online information seeking behavior .099 .028 .114 3.522 .000

Available of Resources .067 .033 .063 2.046 .041

Frequently Use of Information Sources .109 .030 .113 3.672 .000

Format of Document .147 .037 .115 3.952 .000

Accessibility Business Information .126 .029 .130 4.379 .000

Search Engine .132 .026 .142 5.002 .000

Important of information sources .129 .029 .144 4.433 .000

Important management databases .141 .031 .152 4.565 .000

Satisfied information services .144 .031 .146 4.711 .000

Satisfied ICT Products and Services .155 .033 .142 4.666 .000

Satisfied E-Journals Online Databases .089 .030 .094 2.956 .003

Opinion Library Resources and Services .094 .028 .103 3.364 .001

a. Dependent Variable: R all


Table above table determined that the ‘t’ value and ‘p’ values suggest the independent variable has

confident and significant impact on the dependent variable. The output of the regression analysis shows

that ‘information seeking behavior of business management faculty members in Chennai city libraries to

spent time gathering information activities have a significant (β = .162; t value = 4.527), respectively

format of document have a significant (β = .147; t value = 3.952), to create awareness of digital

documents. And satisfied ICT product and services have a significant (β = .155; t value = 4.666), Hence

the library resources impact of management faculty members in Chennai city is very significant to the



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faculty seeking information there.

Mean score value Table No. 10 Time spent gathering information

Ts1 Ts2 Ts3 Ts4 Ts5 Ts6 Ts7 Total

1 3 3.3974 3.2185 3.0728 3.1987 3.1325 3.6424 3.2375

2 3.1494 3.2529 3.0805 3.0345 3.2299 3.4138 3.6322 3.2562

3 3.1728 3.179 2.9815 2.9938 3.2469 3.1667 3.6667 3.2011

Average 3.1025 3.2775 3.0925 3.0325 3.225 3.2075 3.65 3.2268


Ts: Abbreviation (time spent)1. Searching Journals/ Magazine 2. Searching for Books3. Browsing E-

Journals on Internet4. Searching online databases5 E-mail alerts, Correspondence6. Accessing e-books7.

Photocopying

The researcher infer that seven variable to statistical calculated men score value, the quantum of

time spent gathering information are highly the faculty members 3.27 percent mean score. The overall

average means score is 3.22 percent to the quantum of time spent. The responses are moderately

responded. Among the variables ‘searching for books’, ‘E-mail alerts, correspondence’, ‘accessing e-

books’ is responded highly but other variables also in the same ranges. It denotes that the ‘browsing e-

journals on internet got low mean score. Hence, the librarian should take necessary steps to providing

the quantum of time.

Figure 1- Means score value

Ts1

12% Ts2

13%

Ts3

12% Ts4

12% Ts5

12%

Ts6

12%

Ts7

14%

Total

13%

MEANS SCORE VALUE



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Table No. 11 Teaching / Guiding research/ students* Designation

Teaching / Guiding

research/ students

Designation

Total Asst.

professor

Associate

professor Professor

Not Important 0 0 0 0

0% 0% 0% 0%

Slightly Important 1 2 0 3

0.70% 2.30% 0.00% 0.80%

Moderately Important 7 10 22 39

4.60% 11.50% 13.60% 9.80%

Important 56 45 68 169

37.10% 51.70% 42.00% 42.30%

Very Important 87 30 72 189

57.60% 34.50% 44.40% 47.30%

Total 151 87 162 400

100.00% 100.00% 100.00% 100.00%

Above this table reason for information seeking behaviour of faculty members describes that the

Likert five point scale used. Overall this table the researcher infer that three cadre of respondents the

majority of 189(47.3) percent of ‘Very important’ 169 (42.3) percent of ‘Important’ 39 (9.8) percent of

‘Moderately important’ and respectively 3(0.8) percent of “slightly Important’.

Table No. 12Access of information Sources

Access of information

Sources

Designation

Total Asst.

professor

Associate

professor Professor

Circulation- Issue/ return 21 11 10 42

13.90% 12.60% 6.20% 10.50%

E-mail alerts 13 7 27 47

8.60% 8.00% 16.70% 11.80%

Multimedia (DVD,CD) 7 16 14 37

4.60% 18.40% 8.60% 9.30%

Internet 13 18 19 50

8.60% 20.70% 11.70% 12.50%



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Newspaper Services 18 3 16 37

11.90% 3.40% 9.90% 9.30%

Photocopy (Reprography) 17 4 24 45

11.30% 4.60% 14.80% 11.30%

Library OPAC / Web OPAC 22 8 11 41

14.60% 9.20% 6.80% 10.30%

Online Database 12 4 10 26

7.90% 4.60% 6.20% 6.50%

Display of New Arrivals 17 2 15 34

11.30% 2.30% 9.30% 8.50%

Reference Service 11 14 16 41

7.30% 16.10% 9.90% 10.30%

Total 151 87 162 400

100.00% 100.00% 100.00% 100.00%

Overall this table the researcher infer that three cadre of respondents the access of information

42(10.5) percent of ‘Circulation- Issue/ return’, 47(11.8) percent of ‘E-mail alert’, 37(9.3) percent of

‘Multimedia (DVD,CD)’ 50(12.5) percent of ‘Internet’, 37(9.3) percent of ‘Newspaper’, 45(11.3)

percent of ‘Photocopy’, 41(10.3) percent of ‘Library OPAC/Web OPAC’, 26(6.5) percent of ‘Online

Database’, 34(8.5) percent of ‘Display of new arrivals’, and respectively 41(10.3) percent of ‘Reference

service’

Table No. 13 Access of information Sources Chi-Square




relationship between levels of access of information sources towards impact of library user. Null

hypothesis H0 there is no association between results reveals that the calculated value of access of



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information sources chi-square value is significant at 0.01 levels of its 18 degree of freedoms. So stated

that hypothesis is rejected the table value 53.523a

Means Score valuesTable No 14 Available of information resources

S.No AIR1 AIR 2 AIR 3 AIR 4 AIR 5 AIR 6 AIR 7 Total

1 3.6093 3.2450 2.9934 2.7616 2.9669 3.6026 3.6159 3.2564

2 3.4828 3.4138 3.0230 2.8966 3.0805 3.4828 3.5517 3.2759

3 3.4815 3.3951 3.1543 2.8210 3.0988 3.5494 3.5370 3.2910

Average 3.5300 3.3425 3.0650 2.8150 3.0450 3.5550 3.5700 3.2746


AIR Abbreviation (Available of information resources)1. Textbooks 2. Journals/ E-Journal 3. Reference

source 4. Audio /Video – resources 5. Online-databases6. Internet 7. OPAC

The researcher infer that seven variables to statistical calculated mean score values, the available

of information resources are highly the faculty members in 3.57 percent of mean score. The overall

average means score is 3.27 percent the available of information resources. The responses are

moderately responded. Among the variables ‘OPAC’ ‘internet and textbook is responded highly.

Despite, other variables are also in the same ranges. It denoted the audio/video resources are not highly

respondents. Hence the librarian should take necessary steps to providing the services



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Figure 2-Available of information resources

Means Score values Table No. 15 Preferred formats of information sources

S.NO PIS1 PIS2 PIS3 Total

1 4.5960 4.1325 3.4172 4.0486

2 4.3678 3.9080 3.2414 3.8391

3 4.5000 4.0556 3.3889 3.9815

Average 4.5075 4.0525 3.3675 3.9758


PIS- Abbreviation (Preferred formats of information sources)1. Printed Material Sources

2. Electronic and Digital material Sources 3. Audio-Visual Material Sources

The researcher infer that three variables to statistical calculated mean score values preferred

formats of information sources are highly faculty members in 4.50 percent of mean score. The overall

average means score is 3.97 percent to the preferred formats of information sources. The responses are

moderately responded. Among the variables ‘printed materials sources and ‘electronic and digital

materials sources respondents highly, but ‘audio-visual materials sources variable got low response

14%

12%

11%

11% 11%

14%

14%

13% AIR1

AIR 2

AIR 3

AIR 4

AIR 5

AIR 6

AIR 7

Total



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among the variables. Hence, the librarian should take necessary steps to increase audio- visual materials

sources usage in this study area.

Table No.16 Problems faced in searching information * Designation

Problems faced in searching information

Designation

Total Asst.

professor

Associate

professor Professor

Unavailability Of Resources 23 12 7 42

15.20% 13.80% 4.30% 10.50%

Lack Of Awareness About The Library

Resources

13 8 32 53

8.60% 9.20% 19.80% 13.30%

Technical Difficulties Like Power Failure,

Internet Connection, Etc.

10 17 25 52

6.60% 19.50% 15.40% 13.00%

Not Taking Proper Assistance From The

Library Staffs

8 21 21 50

5.30% 24.10% 13.00% 12.50%

Do Not Know How To Use Online 23 6 18 47

15.20% 6.90% 11.10% 11.80%

Lack Of Facilities 15 7 28 50

9.90% 8.00% 17.30% 12.50%

Time Duration During The Search 15 10 9 34

9.90% 11.50% 5.60% 8.50%

Lack Of Knowledge In Using The Library

system

20 3 9 32

13.20% 3.40% 5.60% 8.00%

Some Information Materials Are Too Old 24 3 13 40

15.90% 3.40% 8.00% 10.00%

Total 151 87 162 400

100.00% 100.00% 100.00% 100.00%

Inclusive this table the researcher infer that the respondents problems faced in searching for

information 42(10.5) percent of ‘Unavailability Of Resources’, 53(13.3) percent of ‘Lack Of Awareness

About The Library Resources’, 52(13.0) percent of ‘Technical Difficulties Like Power Failure, Internet



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Connection, Etc.’ 50(12.5) percent of ‘Not Taking Proper Assistance From The Library Staffs’, 47(11.8)

percent of ‘Do Not Know How To Use Online’, 50(12.5) percent of ‘Lack Of Facilities ‘, 34(8.5)

percent of ‘Time Duration During the Search’, and respectively 32(8.0) percent of ‘Lack Of Knowledge

In Using The Library system’, 40(10.0) percent of ‘Some Information Materials Are Too Old’.

Table No. 16.1 Problem faced in searching information Chi-Square Tests




relationship between levels of problem faced in searching information towards impact of library user.

Null hypothesis H0, There is no association between results reveals that the calculated value of problem

faced in searching informationchi-square value is significant at .001 levels of its 16 degree of freedoms.

So stated that hypothesis is rejected the table value 72.461a

(Critical value 1 percent =32.000).

Means score valueTable No. 17Opinion Library Resources and Services

S.No O1 O2 O3 O4 O5 O6 Total

1 3.8411 3.2980 3.0132 3.0662 2.6291 2.3046 3.0254

2 3.6782 3.3793 3.2529 2.9770 2.8276 2.5057 3.1034

3 3.6173 3.3642 3.4074 3.3025 2.8210 2.7593 3.2119

Average 3.7150 3.3425 3.2250 3.1425 2.7500 2.5325 3.1179


O- Abbreviation (Opinion)1. Library resources and services 2. Library website 3. Library computerized

online catalogue 4. News awareness / clipping / current articles 5. Notification of new arrival 6.

Provision of subscription of books/ journal/report

The average means of the opinion library resources and services of the respondents from

management faculty members is Chennai City. The researcher infer that six variables to statistical



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calculated mean score vales the opinion library resources and services are highly the faculty members is

3.71 percent mean score. The overall average means score 3.11 percent to the opinion library resources

and services. The responses are moderately responded. Despite, other variables are also in the same

ranges. It denotes that all the services are not highly opinion library resources and services the

respondents. Hence, the librarian should take necessary steps to providing the services against

‘Notification of new arrival’ and Provision of subscription of books/ journal/report’.

Means Score values Table No. 74 E-Journals Online Databases

S,NO SEJ1 SEJ2 SEJ3 SEJ4 SEJ5 SEJ6 Total

1 4.4371 4.2185 4.0861 3.9536 3.5695 2.1523 3.7362

2 4.2989 4.2069 4.2529 4.0805 3.7701 2.4368 3.8410

3 4.0370 4.2593 4.2963 4.2469 4.0185 2.5185 3.8961

Average 4.2450 4.2325 4.2075 4.1000 3.7950 2.3625 3.8238


SEJ-Abbreviation (Satisfied - E-Journals Online Databases)1. ISI Emerging Markets2. India Stat3.

EBSCO4. ProQuest ABI/INFORM5. Emerald Management6. Science Direct

The average mean of the Satisfied the - E-journals online databases of the respondents from

management faculty members in Chennai City, the researcher infer that six variables to statistical

calculated mean score values satisfied the - E-journals online databases are highly the faculty members

in 4.24 percent means score. The overall average means score is 3.82 percent to the satisfied the - E-

journals online databases. The responses are moderately responded. Despite, other variables are also in

the same ranges. It denotes that all the E-journals online databases the services are not highly satisfied

the respondents. Hence the librarian should take necessary steps to provide the services against ‘science

direct’.

Table No. 18 Up-date -ICT developments * Designation

ICT developments

Designation


Associate

professor Professor



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Internet 25 17 39 81

16.60% 19.50% 24.10% 20.30%

E-Mail 16 14 30 60

10.60% 16.10% 18.50% 15.00%

Workshops, Seminars And

Conferences

28 12 12 52

18.50% 13.80% 7.40% 13.00%

Professional Books / Journals 24 15 7 46

15.90% 17.20% 4.30% 11.50%

News Letters 21 8 17 46

13.90% 9.20% 10.50% 11.50%

Research Journals 16 8 30 54

10.60% 9.20% 18.50% 13.50%

World Wide Web 21 13 27 61

13.90% 14.90% 16.70% 15.30%

Total 151 87 162 400

100.00% 100.00% 100.00% 100.00%


Above this table up-date ICT developmentsin the faculty members,the researcher infer that the assistant

professor 25(16.6) percent of ‘Internet’, 16(10.6) percent of ‘E-mail’, 28(18.5)’, ‘Workshops, Seminars

and Conferences’, 24(15.9) percent of ‘Professional Books / Journals’ 21(13.9) percent of ‘ News

Letters’, 16(10.6) percent of ‘Research Journal’ 21(13.9) percent of ‘World wide web’.

Associate professor 17(19.5) percent of ‘Internet’,14(16.1) percent of ‘E-mail’, 12(13.8)’,

‘Workshops, Seminars and Conferences’, 15(17.2) percent of ‘Professional Books / Journals’ 8(9.2)

percent of ‘News Letters’, 8(9.2) both are same percent of ‘Research Journal’ 13(14.9) percent of

‘World wide web’.

Professor 39(24.1) percent of ‘Internet’, 30(18.5) percent of ‘E-mail’, 12(7.4)’, ‘Workshops,

Seminars and Conferences’,7(4.3) percent of ‘Professional Books / Journals’ 17(10.5) percent of ‘News

Letters’, 30(18.5) both are same percent of ‘Research Journal’ 27(16.7) percent of ‘World wide web’.



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Overall this table the researcher infers that three cadre of respondents, 81(20.3) percent of ‘Internet’,

60(15.0) percent of E-mail’, 52(13.0)’, ‘Workshops, Seminars and Conferences’, 46(11.5) percent of

‘Professional Books / Journals’ 46(11.5) percent of ‘News Letters’, both are same percent and

respectively 54(13.5) percent of ‘Research Journal’ 61(15.3) percent of ‘World wide web’

Table No. 18.1 Up-date -ICT developments * Designation Chi-Square Tests



The Chi-square test has been employed to test the relationship between the personal

characteristics, particularly up-date -ICT developments; these propositions hold good in the same would

have to test through statistical analysis. Hence the chi-square test was applied for the purpose of

examining the significance of relationship between levels of up-date -ICT developments towards impact

of library user. Null hypothesis H0, there is no association between results reveals that the calculated

value of up-date -ICT developments chi-square value is significant at 0.01 levels of its 16 degree of

freedoms. So stated that hypothesis is rejected the table value 32.227a(Critical value 1 percent

=32.000). df =16 32.000)

Findings and conclusion

This chapter is the management faculty members to be used the library resources. Now a days

network era the management colleges to provide the better services, to connect the internet, Wi-Fi-

technology, online databases, open access e-resources, e-mail alerts, lending better systems, ICT

product (information communication technology), web OPAC, off-line access (CD/DVD), e-resources

kept in the digital repositories, current awareness services, content page, online database abstract

services, the 21st century every one behavior have been to adapted technology of network systems, also

the library and information science like open sources. Recently the back born the libraries the

management of electronic resources will be too much of demands the ICT electronic publication. The

academic library structure already changes to management educational institutions have connect using

inter net and Wi-Fi connecting to libraries, to develop the traditional sources into digital formats, the



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faculty members to visit , the library portal and helps the IP address, the user to browsing the full text

articles, cases. The management college libraries to have the media room, seminar room, and discussion

room, webinar room to provide the facility, the faculty might take advantages of world’s valuable

literature update the faculty members.

The majority of teaching faculty members in gender wise male 270(67.5).

Inclusive the mainstream the age group 160 (40.0) percent of the respondents are stated that 40

to 50 age.


socio economic characteristics in the age chi-square value is significant at 0.01 levels of its 6

degree of freedoms. So stated that hypothesis is rejected the table value 111.563.

The researcher overall infers that educational qualification the faculty members in a large

majority of respondent 175 (43.8) highest degree in Ph.D. holder,

The educational qualification chi-square value is significant at 0.01 levels of its 4 degree of

freedoms. So stated that hypothesis is rejected the table value 63.078. The association described

by the cross tabulation is a significant one, the result s of chi-square are typically reported as

follow, X2=63.078. df = 4, P<.001

A large majority of respondent 128 (32.0) percent of ‘10 to 15 years’, 94 (23.5) respondents 5 to

10 years.

The total years of professional service chi-square value is significant at 0.01 levels of its 8 degree

of freedoms. So stated that hypothesis is rejected the table value 110.006. The association

described by the crostabulation is a significant one, the result s of chi-square are typically

reported as follow, X2=110.006

a. df = 8, P<.001

Inclusive this table the researcher infer that the faculty members in the highly indicate point of

175(48.8) percent of ‘daily’ 93(23.3) percent of ‘Once in a week’, 2352(13.0) percent of ‘Twice

a week’ 61(15.3) percent of ‘Three times in a week’, 18(4.5) percent of ‘Once in a month’, and

respectively 1(0.3) percent of ‘occasionally’

The researcher infers that the majority of 128 (32.0) and 128 (32.0) percent of ‘above 5 hours’

and ‘three hours’ the faculty members’ time spent in the library or resource Centre.



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socio economic characteristics in the time spentchi-square value is significant at 0.01 levels of its

6 degree of freedoms. So stated that hypothesis is rejected the table value 40.810a.

Comprehensive this table the researcher conclude that the respondents a large majority of

176(44.0) percent of ‘College library’ 61(15.3) percent of ‘University library, 93(23.3) percent of

‘Department library’ 23(5.8) percent of ‘General and public library, and respectively 47(11.8)

percent of ‘Above first three libraries’,

The output of the regression analysis shows that ‘information seeking behavior of business

management faculty members in Chennai city libraries to spent time gathering information

activities have a significant (β = .162; t value = 4.527), respectively format of document have a

significant (β = .147; t value = 3.952), to create awareness of digital documents. And satisfied

ICT product and services have a significant (β = .155; t value = 4.666), Hence the library

resources impact of management faculty members in Chennai city is very significant to the

faculty seeking information there.

The quantum of time spent gathering information are highly the faculty members 3.27 percent

mean score. The overall average means score is 3.22 percent to the quantum of time spent.

Likert five point scale used. Overall this table the researcher infer that three cadre of respondents

the majority of 189(47.3) percent of ‘Very important’

The researcher infer that the respondents problems faced in searching for information 42(10.5)

percent of ‘Unavailability Of Resources’, 53(13.3) percent of ‘Lack Of Awareness About The

Library Resources’, 52(13.0) percent of ‘Technical Difficulties Like Power Failure, Internet

Connection, Etc.

Overall this table the researcher infers that three cadre of respondents, 81(20.3) percent of

‘Internet’, 60(15.0) percent of E-mail’, 52(13.0)’, ‘Workshops, Seminars and Conferences’,

46(11.5) percent of ‘Professional Books / Journals’ 46(11.5) percent of ‘News Letters’, both are

same percent and respectively 54(13.5) percent of ‘Research Journal’ 61(15.3) percent of

‘World wide web’

Null hypothesis H0, there is no association between results reveals that the calculated value of up-

date -ICT developments chi-square value is significant at 0.01 levels of its 16 degree of

freedoms. So stated that hypothesis is rejected the table value 32.227a(Critical value 1 percent

=32.000). df =16 32.000)



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. The information seeking of faculties members or users are changes behavior. IT and Network

technology advanced development due to e-resources publishing and revolutionaries information

Centres. According to collection, services, and the dissemination of information.

Likewise the user needs is very essential, the libraries or information resources Centres have to

incorporate changed measures, for selecting of documents, collection of documents, acquiring with

organizing, now the documents various format along with outmoded format. The librarian have to use

effectively information technology knowledge.

To satisfy of library user community in moving atmosphere, the most important of librarian to

assessment their expectation, demands through user of information seeking behavior studies to create

them too much of satisfying concluding their task.



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Documents

Information Seeking Behaviour of Faculty Members in t he