Investigating the
Effectiveness of the Sources of Recruitment on Job Performance and Employee
Attitude in India
Dibesh Deb Barma1, Prof. Meenakshi Gupta2
1Department of Humanities and
Social Sciences, Indian Institute of Technology, Bombay, Powai,
Mumbai 400076.
2Department of Humanities and
Social Sciences, Indian Institute of Technology, Bombay, Powai,
Mumbai 400076.
*Corresponding Author E-mail: dibesh.dbarma@gmail.com, dibesh@iitb.ac.in, meena@iitb.ac.in
ABSTRACT:
The purpose of the present study was to
investigate the effectiveness of the sources of recruitment that a company uses
to hire its candidates on job performance and employee attitude measured by job
satisfaction, job involvement and organizational commitment. 102 employees from
56 IT industries across India were selected for this study. They were recruited
by their organizations either through campus recruitment, consultancies, employee
referrals, job portals and walk in. Results showed that there was significant
difference in the means between campus recruitment and consultancy and campus
recruitment and walk in, on continuance commitment. There’s significant
difference in the means between job portals and walk-in on job performance
scale and significant difference in the means between consultancies and walk
in, on job satisfaction. Findings have been discussed in light of existing
literature.
KEY WORDS: Recruitment, personnel selection,
channels/sources of recruitment, organizational commitment, job performance,
job involvement, job satisfaction.
In today’s business environment, people are
one of the most valuable company assets and recruitment serves the important
function of bringing the necessary talent into the organization1.The
recruitment of high-quality employees remains a fundamental goal for
organizations because there will always be hard-to-fill vacancies for which
organizations must compete fiercely to attract potential applicants, also the
most talented job seekers continue to have enough options to compare potential
employers2. Thus, organizations continue to participate in the “war
for talent”1. From Indian organizational perspectives, Sen and Saxena3 believe
that the most striking feature of the Indian labor market is the apparent
abundance of labor, yet the right type of labor is not too easy to find. The
same finding has been attested by Tendon4.
Now more
than ever, researchers and practitioners recognize the need to understand the
manner in which prospective applicants are attracted to organizations and jobs5.
Making decisions around “what” talent is available and “where” this talent can
be found is one of the most difficult tasks faced by organizations6.
According to the Aberdeen Group’s6 report, 62% of organizations
identified sourcing as the greatest challenge faced in their talent acquisition
efforts.
They claim that by accurately
tracking their sources of hire and linking this with performance data, these
organizations can make a dramatic impact on business success. A study by
Birkwood7 measured quality of hire where they realized that in order
to save the company money and increase productivity, they needed to measure
quality of hire and sources of hire together. As per Aberdeen’s6 talent
acquisition research, the top pressure that organizations face, is achieving
the balance between building a talent pipeline and keeping a track to measure
the effectiveness of their sourcing efforts on the business.
Shamis8 found that
there is a fair amount of trial and error when trying to attract candidates to
a business. No one solution fits every situation. The question that most people
struggle with is, “What is the best recruiting source/s?” Unfortunately there
is not a simple answer. From a business perspective, much of the decision will
depend on the employee recruiting strategy which dictates budget, timing and
other variables.
Why are we addressing the
sources for new hires: which sources show a trend for success and which ones
don’t? According to Birkwood7, this is extremely important from a
strategic standpoint. He concludes that by improving focus on sourcing, one can
directly improve the bottom line and the overall financial health of the
company.
Thus, the objective of this
research was to study the effectiveness of the sources of recruitment that a
company uses to hire its candidates on job performance. It also examines the
relationship between sources of recruitment and employee attitude measured by
job satisfaction, job involvement and organizational commitment.
Literature Review
The process of recruiting has
changed significantly over the last few decades. Sinha
and Thaly3 observe that what started out as the scope of office
managers to place job advertisements in newspapers, or "help wanted"
signs has now grown up into a multibillion dollar industry. Sourcing is the use of one or more strategies
to relate talent to organizational vacancies. Therefore recruiting, from Thielsch, Traumer and Pytlik’s9
point of view, is best described as the active process of advertising and
reaching out to potential applicants, which is the first phase and hence a very
important part of the hiring procedure.
Various channels could be
categorized into modern and traditional sourcing with modern channels being
social media like LinkedIn, Facebook, etc. and
traditional ones being advertisements, employee referrals, recruitment
agencies, etc.9. A study done by Sinha and
Thaly3 to understand the emergence of sourcing channels for
effective hiring looked at the following sourcing channels for recruitment: 1.
Employee Referral, 2. Campus Recruitment, 3. Advertising, 4. Recruitment
Agencies/Consultants, 5. Job sites/portals, 6. Company Websites, 7. Social
Media (LinkedIn, etc). Amongst the overall hiring for various organizations,
their study found that job sites/portals, social media and campus recruitment
constitute 28%, 23% and 22 % respectively. Other preferred channels were
employee referral (11%), recruitment agencies/consultants (7%), advertising
(4%), and company websites (5%)3.
More and more companies
currently recruit online, partly because of cost savings and competitive
pressure, and partly because it is the best way to reach their target group of
applicants9. A 2009 survey conducted by careerbuilder.com found that
45% of over 2600 hiring managers reported searching social networking sites
(SNSs) to learn about job candidates10.
Organizations have identified
employee referral programs (rank 1), social media sites (rank 2), corporate
career sites (rank 3), and internal job boards (rank 4) as the most effective
sources to hire6. Corroborating with the above, another study found
personal networking to rank first, followed by internet job hunting,
headhunters, newspaper advertisements, and a variety of other techniques5.
Employee referrals typically
contain mostly positive information, as the organization is recommended to
others1. It has been demonstrated that employee referrals have a
positive effect on pre-hire recruitment outcomes such as the quantity and
quality of the applicant pool and on post-hire outcomes such as job
satisfaction, job performance and (inversely related) turnover1. 77% of organizations invest in employee
referral tools6.
According to Sinha and Thaly3, the effectiveness of different
recruitment sources for new employees has been the topic of research for over
60 years. The effectiveness has primarily been assessed by examining the rates
of turnover (and "job survival"), as well as job performance, with
referrals by current personnel, in-house job postings, and the re-hiring of
former employees being considered the most effective sources3.
Literature has focused on
recruiting sources as they relate to employee behaviors, such as tenure,
absenteeism, and performance11. These studies are conclusive in
their findings, namely, that informal sources of recruitment (employee
referrals, walk-ins) are the best sources of longer tenured and less absent
employees, while formal methods of recruitment (newspaper ads, employment
agencies) are among the worst sources. According to Latham and Leddy11,
the findings regarding performance, however, are mixed.
Why is it important to study the
link between recruitment source and employee performance? If a consistent
relationship between type of recruitment source and initial employee
performance is established, this can help a manager identify new employees with
a higher likelihood of being promoted based on their stronger initial
performance.
METHODOLOGY:
For the purpose of this
research, business organizations have been selected from the Indian Information
Technology (IT) sector and not from the Information Technology Enabled Services
(ITES) sector. The sample constituted of 102 employees, from 56 IT industries
across India (Mumbai, Bangalore, Hyderabad, Pune, Gurgaon, Noida) belonging to
various hierarchical positions, of which 87 were males and 15 were females.
Average age of the respondent was 26.15 years. Average number of months in
current organization was 23.12 months with minimum of 2 months and maximum of
66 months. Total work experience estimated on average was 38.74 months with
maximum of 141 months and minimum of 5 months.
Table 1: Description of Scales
Variables |
Authors |
Sub Scales |
No. of Items |
Alpha Rel. |
Job Satisfaction (JS) |
Agho, Price and Mueller (1992) |
_ |
6 |
0.842 |
Organizational Commitment (OC) |
Allen and Meyer (1990) |
3 |
18 |
0.80 |
Job Performance (JP) |
G. Moorehead (1981) |
_ |
5 |
0.687 |
Job Involvement (JI) |
Agrawal (1981) |
|
10 |
0.811 |
Table 2:
ANOVA with Channels of recruitment
Commitment |
Sum of Squares |
df |
Mean Square |
F |
Sig. |
Between Groups |
269.438 |
4 |
67.360 |
.848 |
.498 |
Within Groups |
7705.238 |
97 |
79.435 |
|
|
Total |
7974.676 |
101 |
|
|
|
Performance |
|
|
|
|
|
Between Groups |
56.709 |
4 |
14.177 |
1.247 |
.296 |
Within Groups |
1102.703 |
97 |
11.368 |
|
|
Total |
1159.412 |
101 |
|
|
|
Job Involvement |
|
|
|
|
|
Between Groups |
169.631 |
4 |
42.408 |
.984 |
.420 |
Within Groups |
4178.888 |
97 |
43.081 |
|
|
Total |
4348.520 |
101 |
|
|
|
Job Satisfaction |
|
|
|
|
|
Between Groups |
117.906 |
4 |
29.476 |
1.513 |
.204 |
Within Groups |
1889.741 |
97 |
19.482 |
|
|
Total |
2007.647 |
101 |
|
|
|
Table 3: Post-Hoc Test for Continuance Commitment
|
(I) channels |
(J) channels |
Mean Difference (I-J) |
Std. Error |
Sig. |
95% Confidence Interval |
|
Lower Bound |
Upper Bound |
||||||
LSD |
Campus Recruitment |
Consultancies |
2.71154* |
1.22218 |
.029 |
.2858 |
5.1372 |
Walk In |
2.66154* |
1.22218 |
.032 |
.2358 |
5.0872 |
Table 4: Post-Hoc Test for Job
Performance
|
(I) channels |
(J) channels |
Mean Difference (I-J) |
Std. Error |
Sig. |
95% Confidence Interval |
|
Lower Bound |
Upper Bound |
||||||
LSD |
Job Portals |
Walk In |
2.20000* |
1.06621 |
.042 |
.0839 |
4.3161 |
Table 5: Post-Hoc Test for Job
Satisfaction
|
(I) channels |
(J) channels |
Mean Difference (I-J) |
Std. Error |
Sig. |
95% Confidence Interval |
|
Lower Bound |
Upper Bound |
||||||
LSD |
Consultancies |
Walk In |
3.20000* |
1.39577 |
.024 |
.4298 |
5.9702 |
Total 102 samples were collected
of which 26 were recruited through campus recruitment, 20 from consultancies,
16 through employee referrals, 20 through job portals and 20 through walk in.
The average age of the sample was 26 years and the minimum and maximum age was
21 years and 42 years respectively. The average number of months spent in the
current job was 23.12 months (2 years approximately). The minimum number of
months was 2 and the maximum was 66 months. The average of the total work
experience was 38.74 months (3 years and 3months approximately). The minimum
(total) work experience was 5 and the maximum was 141 months (11 years 9
months).
The instruments used to measure
variables incorporated in the study are drawn from various sources.
Descriptions of the scales incorporated in the schedule are summarized in Table
1.
RESULTS:
The data collected was subjected
to statistical analysis using SPSS (Version 17.0). Analysis of variance (ANOVA)
was conducted in order to understand if there is overall group difference among
various sources/channels of recruitment. Post-hoc test was administered to see
the group difference between each pair of recruitment sources/channels. Out of
several post-hoc tests available, Fisher’s Least Significant Difference (LSD)
test was used. Fisher LSD test is considered to be one of the least
conservative post-hoc tests.
Table 2 shows that there was no
significant difference in means among any recruitment channels in terms of the
overall organizational commitment scale, performance, job involvement and job
satisfaction.
Overall there’s no significant
difference in means among recruitment channels on commitment. However, a break
up analysis of normative, affective and continuance commitment showed a
significant difference in the means between campus recruitment and consultancy
and campus recruitment and walk in, only on continuance commitment (see Table
3). Post-hoc test shows that the mean of
campus recruitment is greater than mean of consultancy and walk-in.
There was no significant
difference in means among any recruitment sources/channels in terms of job
performance as shown in Table 2. However, there’s significant difference in the
means between job portals and walk-in in job performance scale (as shown in
table 4). Mean of job portals is greater than mean of walk-in.
There was only significant
difference in the means between consultancies and walk in, in job satisfaction
as shown in Table 5. Mean of consultancies was greater than mean of walk-in.
DISCUSSION:
As is evident from the results
there was no significant difference in means among recruitment channels/sources
on organizational commitment, job involvement, job satisfaction and job
performance. Several possible explanations stand out as plausible obstacles to
drawing firm conclusions concerning the impact of recruiting source on the
above four variables. Perhaps the most prominent is the argument by Vecchio12
who argues that the results of each study are partially valid as an indication
of what is the relative superiority of recruitment sources for a given
job-domain, organization, or industry. This argument
necessarily implies that it is difficult to make a general, descriptively valid
statement concerning the relative effectiveness of recruitment sources unless
an across jobs-organization-industry analysis is performed.
There are other studies which
corroborate with results of this study. The results of a study by Vecchio12
indicated that recruitment source is not associated with attitudinal dimensions
(here job satisfaction, loyalty, pride in organization, anti-union stance, and
propensity to quit) even after adjustment for differences in job quality and
demographic attributes. Kirnan, Fairley and Geisinger13,
Swaroff, Barclay and Bass14 and Taylor and
Schmidt15 did not find any significant differences between
recruitment sources on their performance measures. In a study of nearly 900
British trade workers, Reid16 concluded that individuals who used
informal job-search techniques (such as asking friends and relatives about job
opportunities) remained in jobs to the same extent as employees who utilized
more formal methods (e.g., ads, employment services, casual application).
Bissonnette17 found that expectations, perceived fairness and
affective commitment explained a significant amount of variance in turnover
intensions and job satisfaction; however, recruitment sources themselves did
not significantly contribute to the outcomes nor did job information.
Anecdotal accounts from Human
Resource Managers supported that there is no relationship between job
performance and sources/channels of recruitment. They said that it is unfair to
compare one source of recruitment with another because if management trainees (freshers) are hired through campus recruitment, experienced
people are hired through employee referrals. It would be unfair if performance
of a fresher and an experienced person is compared. Therefore, the two channels
through which these two categories of employee were hired also are not
comparable.
However the debate continues because
some studies attest to the contrary. Literature suggests that there are two
mediation variables (individual differences and realistic job information) that
may explain why certain kinds of recruitment sources lead to higher job
performance14. Based upon the individual differences explanation18,15
the possibility that individuals recruited from different sources vary on
motivation to apply and ability levels connected to subsequent performance19.
Certain recruitment sources such as referrals give more realistic job
expectations to applicants than other sources such as newspaper ads or
self-initiated applications19. However, realistic job expectations
may be more useful for reducing subsequent employee turnover than enhancing
initial employee performance20.
Although the realistic
information hypothesis indicates that certain recruitment sources will provide
better information about a job, and specifically that informal sources are the
ones which provide the most and best information, the mechanisms through which
this occurs have not been well defined in the literature17. Ullman21
attests to the above view that recruitment sources can vary in their usefulness
for providing superior employees. For example, it has been suggested in
Vecchio’s12 study that informal recruitment sources (e.g., current
employees) may generate applicants who will have higher job satisfaction,
greater commitment, and higher levels of job performance than more formal
recruitment sources (e.g., newspaper ads, employment agencies, walk-ins).
Satisfaction with supervision was lowest for the college placement office
source, while general job satisfaction did not differ significantly across the
four available sources22.
We would like to argue with Sinha and Thaly3 that which recruiting channels
should be used depends on the job position, on the company’s employer brand, on
the resources the company has on its recruiting team, on how much recruiting
budget the company has, etc. One can use them all and find out which suits the
best. Every recruiting channel offers different benefits and limitations and
works better for certain situations and companies. The key is collecting
real-time recruitment metrics on these recruiting channels to figure out what
works best for the company in different situations3.
Implications for practice
Though the present study shows
that there was no significant difference among recruitment channels/sources on
organizational commitment, job involvement, job satisfaction and job
performance, however, it is an important practice to be inculcated. According
to a report published by the Abardeen Group6,
currently only 22% of organizations are able to tie the source of a hire with
his or her performance as an employee. 53% of the organizations were unable to
integrate candidate data and post-hire employee data. 51% had limited resources
to do meaningful analysis of the information; 31% were unable to align employee
performance measures with their hiring criteria; 24% could not track candidate
source data. Additionally, organizations find it challenging to track the
source of hire when candidates are applying for the same position through
multiple channels, such as job boards, applicant tracking systems, and career
sites. In fact, nearly 50% of organizations use more than three sourcing tools
making it difficult to pinpoint where candidates are identified6.
Irrespective of such practical difficulties it is imperative to put efforts in
linking sources with attitudinal measures. As Birkwood7 realized
that it does not matter whether the employee was a poor performer, an excellent
worker who was disillusioned, or a job-hopper; ultimately, the business is
negatively impacted if it loses talent in the first year, or is dealing with a
poor employee. And speaking of investment, it is a good idea to track the money
and time spent and the results of various employee recruiting activities8.
Limitations
Methodologically, it is
important to point out that the performance measures were subjective view of
performance rather than any official performance appraisal reports. Due to its
self-perceptive nature it has its own limitations.
CONCLUSION:
From a practical perspective,
the present "null results" suggest that recruitment sources may have
minimal impact on organizational commitment, satisfaction, involvement and
performance. That is to say, human resource managers need not be especially
concerned about the influence of recruitment source on these dimensions because
their impact might be quite transitory (i.e., of only potentially modest
importance and limited to very early job experiences). However, the present
results also suggest that employers should be aware that potential candidates
do not have similar access and propensity to use recruitment sources. Sinha and Thaly3 also put forth that no single
channel alone will reach all the candidates and that a multi-channel approach
is essential to cover up the market. Recruiters must consider both market flow
and share of applications when deciding which channels to use and to what
extent. Sinha and Thaly3 conclude that
when organizations try to understand the percentage of candidates that they are
trying to reach via each channel, they should also have some cognizance of the
percentage of candidates that they are failing to reach and the need to shift
their source of recruitment. Therefore, if an organization relies on a
particular source of recruitment and excludes others it might lose out upon a
potential pool of employees. From an organizational perspective, there may,
therefore, be an "optimal mix" of recruitment sources, which needs to
be determined by job category and job level.
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Received on 14.01.2015 Modified on 27.01.2015
Accepted on 13.02.2015 © A&V Publication all right reserved
Asian J. Management 6(1):
January–March, 2015 page 67-71
DOI: 10.5958/2321-5763.2015.00011.6