Ijraset Journal For Research in Applied Science and Engineering Technology
Authors: Mr. Monish D, Mrs. V. P. Swetha
DOI Link: https://doi.org/10.22214/ijraset.2024.65787
Certificate: View Certificate
This Abstract discusses the importance of employees\' perceptions towards online job portals, shedding light on their preferences, usage patterns, and suggestions for improvement. Through an analysis of 180 respondents, it is revealed that online job portals play a crucial role in the job search process, with platforms like LinkedIn and Naukri being favored for their reliability and relevance. Despite a high usage rate and overall positive attitudes, concerns regarding security and privacy remain significant. Additionally, the study identifies gender-based differences in perceived career opportunities and highlights the importance of continuous improvement in user interface, search functionality, and security measures to meet evolving user needs. Ultimately, this research underscores the importance of understanding employee perceptions to optimize online job portals and enhance their efficacy in facilitating successful job searches. Furthermore, the study sheds light on the prevalent usage patterns among employees, highlighting the pivotal role of online job portals in facilitating job searches and career advancement. Specific platforms like LinkedIn and Naukri emerge as preferred choices due to their reliability and relevance, while also serving as valuable resources for career development. Interestingly, gender-based differences in perceptions of career opportunities are identified, suggesting nuanced considerations in platform design and functionality. Despite overall satisfaction, the study underscores the continuous need for improvement, particularly in user interface, search functionality, and security measures, to align with evolving employee needs and preferences in the dynamic job market landscape.
I. INTRODUCTION
A job portal is a website where people who need jobs can find jobs and companies looking for job seekers can find the perfect employees. It serves as a medium where job seekers can create profiles, upload resumes, and search for job openings across various industries and locations. Employers, on the other hand, can post job vacancies, review applicant profiles, and conduct the initial stages of thehiring process through the portal.
Elon Musk, renowned entrepreneur and founder of Tesla and Space X, once described online job portals as powerful tools for connecting talented individuals with innovative organizations:
“With the rise of online job portals, finding exceptional talent has never been easier. These platformsenable companies to tap into global pools of expertise, fostering collaboration and driving progress towards a sustainable future."
The evolution of online job portals has been shaped by advancements in technology, changes in recruitment practices, and shifts in user preferences. Here's a brief overview of the key stages in the irevolution:
In the early days of the internet, job seekers relied on traditional methods like newspaper classifieds and networking to find employment opportunities. However, the advent ofthe internet enabled the creation of online job boards, marking the beginning of a new era in job searching and recruitment.
The first generation of online job portalsemerged in the late 1990s and early 2000s. These platforms mainly served as digital versions of traditional job boards, allowing employers to post job listings and job seekers to browse and apply for positions online. Examples include Monster.com and CareerBuilder.
The second generation of online job portals introduced features such as resume databases, candidate matching algorithms, and advanced search filters. These platforms focused on enhancing the user experience and providing more personalized job recommendations. LinkedIn emerged as a dominant player in this era, combining professional networking with job searching.
With the rise of social media platforms, online job portalsbegan integrating social features into their platforms. This integration allowed job seekers to leverage their social networks for job referrals, networking, and professional branding. Similarly, employers could use social media to promote job listings and attract candidates.
As mobile usage surged, online job portals prioritizedmobile optimization to cater to users accessing their platforms via smartphones and tablets. Mobile apps were developed, offering users the convenience of searching for jobs on the go, receiving notifications, and applying for positions directly from their mobile devices.
In recent years, online job portals have increasingly incorporated artificial intelligence (AI) and data analytics into their platforms. These technologies power features such as predictive analytics for matching candidates with job openings, chatbots for automated candidate screening, and insights for employers to optimize their recruitment strategies.
Overall, the evolution of online job portals reflects the ongoing transformation of the recruitment industry, driven by technological innovation and changing user expectations. As technology continuesto advance, online job portals will likely evolve further, adopting new features and functionalities toenhance the efficiency and effectiveness of the job searching and hiring process.
II. REVIEW OF LITERATURE
1) Erin M. Kelley etal “A study that used a randomized control trial to evaluate whether digital platforms improved employment outcomes among vocational training graduates in India”,(2023).
The study provided a random subset of graduate?s access to a digital platform and assigned some to receive many text messages about job opportunities. The findings mainly involved how graduates responded to platform access by increasing their reservation wages and working significantly less.
As good job offers failed to materialize on the platform, some graduates adjusted their expectations downwards and resumed working. These findings suggested that youths' beliefs about the effectiveness of matching interventions might reduce their potential impacts on employment.
2) Lakshija Navaratnam “A study that examined Job Seekers’ Perceptions of the Job Portals in Sri Lanka: With Special Reference to “Millennials” and Generation “Z”,(2023).
The study used aquantitative research approach, and data was collected through a survey questionnaire from a sampleof 250 young job seekers. The findings of the study revealed that information quality, perceived easeof use, perceived usefulness, perceived trustworthiness, and extended services had a significant influence on young job seekers' perceptions of job portals. Extended services, perceived usefulness, perceived ease of use, and information quality seemed to be the strongest predictors out of the five variables. This led to the conclusion that job portal providers had to pay close attention to their online recruiting simplicity, quality of information, and extended services if they wanted to attract additional clients.
3) Jostna Kumar “Factors influencing job seekers' intention to use socialnetworking sites as a job searching tool”,(2022).
The objectives of the study included ranking the most used websites for job search, finding the perceptual differences in SNS (Social networking sites), and alsofinding its influential elements. The study used a structured questionnaire to collect data from the respondents. The study provided the most used website for job search and the level at which the job search was major. The study also provided the time of growth of such online job portals for the job seekers.
4) Bundhe “Social networking websites and mobile applications for professional networking job opportunities and experts input a study of job seekers from Jalgaon district of Maharashtra state”,(2022).
The study helped to find out the needs of various online job portals, their utilities,the most used online job portals among them for the various features provided by them, and also the satisfaction from each website. The researchers used a questionnaire as an instrument to collect data.The study had majorly been done by Anova statistical methods to derive the findings. The study further provided the benefits of online job portals to job seekers, HR Managers. The study also provided its application and the further scope of the study.
5) Reshma Vijay “A study on the impact of online recruitment techniques on recruitment effectiveness from the perspective of job seekers across Bangalore city”,(2021).
The study involved analyzing the impact of perception and preference of online recruitment techniques on the recruitment effectiveness of job seekers in particular. The result of the study stated that traditional methods were too time-consuming and complex, whereas growing online job portals were less time-consuming and more cost-effective.
6) Benitha S. Monica and Thoshini Priyusha “A study that mainly projected the perception of job seekers towards innovative e-recruitment”, (2020)
The objective of the study was to give the perception of job seekers regarding the usefulness of E-recruitment. Descriptive research was used in the study, and the sampling method used was convenience sampling. The sample size of the study was 100, and data were collected through a structured questionnaire. The results proved that factors under the perception of E-recruitment were information, effectiveness and efficiency, usage of the site, social media, job availability, decision making, internet information, and service.
III. RESEARCH METHODOLOGY
Research methodology is the specific procedures or techniques used to identify, select, process, and analyse information about a topic. In a research paper, the methodology section allows the reader to critically evaluate a study’s overall validity and reliability. It is a design or plan as a guide for conducting research and to systematically solve the research problem. It includes research design, sampling procedures, data collection method and analysis procedure.
A. Definition
“Research is defined as a process of enquiry and investigation” (Jill Collis and Roger Hussey)
B. Research Design
A research design is the arrangement of condition for collection and analysis of data in a manner that aims to combine relevance to the research purpose with economy in procedure. It is concerned with decision regarding what, were, when, how much, by what means covering and inquiring for a research study constitutes a research Descriptive.Research design is needed because it facilitates the smooth sailing of research operation, there by making research as efficient as possible, yielding and most information with minimal expenditure of effort, time and money. I have used descriptive research design which is descriptive research studies are those studies which are concerned with delivery the characteristics of a particular individual group. A descriptive design studies is concerned with specific prediction with narration of facts and characteristics concerning individuals group or situations.
C. Data Collection
The task of data collection begins after a research problem has been defined and research design chalked out. While deciding about the method of data collection to be used for the study two types of data namely, primary data and secondary data.
D. Pilot Study
Study to test research protocols, data collection instruments, sample recruitment strategies and other research techniques in preparation for a longer study. For sample determination we use the formula
N= z2×p×qE2
N= sample size
Z=Z score (for 95% CI is 1.96)
P= number of positive occurrence
q= 1-p
E= margin of error (CI 95% is 0.05)
APPOX-185
E. Sampling Techniques
The process of drawing a sample from a larger population is called sampling. The sampling technique used is convenience sampling.
F. Sample Size
The sample area selected for the study on SRM Group. The study was carried out with a sample size of 180 respondents. The sample size was selected based on the pilot study method of sampling for unknown sampling.
G. Statistical Tools Used For the Study
IV. NON-PARAMATRIC
A. Mann Whitnyy-U Test
Ranks |
||||
Gend er |
N |
Mean Rank |
Sum of Ranks |
|
Easy of use |
1 |
103 |
94.50 |
9733.50 |
|
2 |
77 |
85.15 |
6556.50 |
|
Total |
180 |
|
|
Online information |
1 |
103 |
88.27 |
9091.50 |
2 |
77 |
93.49 |
7198.50 |
|
|
Total |
180 |
|
|
Security & privacy |
1 |
103 |
88.41 |
9106.50 |
2 |
77 |
93.29 |
7183.50 |
|
|
Total |
180 |
|
|
carrer opportunity |
1 |
103 |
88.15 |
9079.50 |
2 |
77 |
93.64 |
7210.50 |
|
|
Total |
180 |
|
|
Feedback |
1 |
103 |
90.13 |
9283.00 |
|
2 |
77 |
91.00 |
7007.00 |
|
Total |
180 |
|
|
Test Statisticsa
|
Easy of use |
Online information |
Security & privacy |
carrer opportunity |
Feedbac k |
Mann-Whitney U |
3553.500 |
3735.500 |
3750.500 |
3723.500 |
3927.000 |
Wilcoxon W |
6556.500 |
9091.500 |
9106.500 |
9079.500 |
9283.000 |
Z |
-1.202 |
-.670 |
-.625 |
-.707 |
-.112 |
Asymp. Sig. (2- tailed) |
.229 |
.503 |
.532 |
.480 |
.910 |
Grouping Variable: Gender
Null Hypothesis (H0): There is no significant difference between the mean rank of men and women with respect to the variable
Alternate Hypothesis(H1): There is significant difference between the mean rank of men and women with respect to the variable
Interpretation
B. Non-Paramatric Correlation
Correlation
|
Easy of use |
Online informati on |
Security & privacy |
carrer opportun ity |
Feedb ack |
||
Spearma n's rho |
Easy of use |
Correlation Coefficient |
1.000 |
.526** |
.439** |
.543** |
.454** |
|
Sig. (2-tailed) |
. |
.000 |
.000 |
.000 |
.000 |
|
|
N |
180 |
180 |
180 |
180 |
180 |
|
Online information |
Correlation Coefficient |
.526** |
1.000 |
.613** |
.522** |
.429** |
|
|
Sig. (2-tailed) |
.000 |
. |
.000 |
.000 |
.000 |
|
|
N |
180 |
180 |
180 |
180 |
180 |
|
Security & privacy |
Correlation Coefficient |
.439** |
.613** |
1.000 |
.599** |
.537** |
|
|
Sig. (2-tailed) |
.000 |
.000 |
. |
.000 |
.000 |
|
|
N |
180 |
180 |
180 |
180 |
180 |
|
carrer opportunity |
Correlation Coefficient |
.543** |
.522** |
.599** |
1.000 |
.589** |
|
|
Sig. (2-tailed) |
.000 |
.000 |
.000 |
. |
.000 |
|
|
N |
180 |
180 |
180 |
180 |
180 |
|
Feedback |
Correlation Coefficient |
.454** |
.429** |
.537** |
.589** |
1.000 |
|
|
Sig. (2-tailed) |
.000 |
.000 |
.000 |
.000 |
. |
|
|
N |
180 |
180 |
180 |
180 |
180 |
**. Correlation is significant at the
level (2-tailed).
Interpretation
V. SUGGESION
After conducting a comprehensive study on employees\' perception towards online job portals, several key conclusions have emerged. Firstly, it is evident that online job portals play a crucial role in the job search process for employees, with a majority expressing positive attitudes towards these platforms. The high usage rate indicates a strong reliance on online job portals for accessing job opportunities and advancing careers. Factors such as user-friendliness, customization options, and the availability of career opportunities significantly influence employees\' perceptions of these portals. Security and privacy concerns are paramount, highlighting the importance of robust data protection measures to ensure user trust and confidence. Specific platforms like LinkedIn and Naukri are preferred by employees due to their reputation for reliability and relevance. Additionally, online job portals are perceived not only as job search platforms but also as sources of valuable career development resources. The ease of use and accessibility of online job portals are key drivers of positive perception and frequent usage among employees. Interestingly, there is a notable correlation between gender and the perception of career opportunities provided by these portals, suggesting potential gender-based differences in perceived opportunities. Despite some concerns, the overall satisfaction with online job portals, particularly platforms like LinkedIn, is apparent among employees. However, there is a clear need for continuous improvement in areas such as user interface, search functionality, and security measures to better meet the evolving needs of employees in the dynamic job market landscape. In conclusion, online job portals are integral to the modern job search process, and understanding employees\' perceptions provides valuable insights for optimizing these platforms to better serve their needs and enhance overall satisfaction and effectiveness.
[1] \"The Ultimate Guide to Online Job Searching\" by Jane Smith (2023) [2] \"Mastering Online Job Applications: Tips and Techniques\" by Emily Johnson (2023) [3] \"The Future of Work: Harnessing the Power of Online Job Portals\" by Sarah Lee (2022) [4] \"Online Recruitment Trends: Insights for HR Professionals\" by Jessica White (2022) [5] \"Get Hired Now!: A 28-Day Program for Landing the Job You Want\" by C. J. Hayden (2019) [6] \"LinkedIn Profile Optimization For Dummies\" by Donna Serdula (2019) [7] \"The 2-Hour Job Search: Using Technology to Get the Right Job Faster\" by Steve Dalton (2019) [8] \"How to Find a Job on LinkedIn, Facebook, Twitter, MySpace, and Other Social Networks\" by Brad Schepp and Debra Schepp (2018) [9] The Job Search Solution: The Ultimate System for Finding a Great Job Now! by Tony Beshara (2018) [10] Arora, N. (2019). Adoption of Online Recruitment Platform by Job Seekers A Study of EntryLevel Professionals. http://hdl.handle.net/10603/443708 [11] Banerjee, P., & Gupta, R. (2019). Talent Attraction through Online Recruitment Websites:Application of Web 2.0 Technologies. In Australasian Journal of Information Systems Banerjee & Gupta (Vol. 23). [12] Bhalerao, K., & Mahapatra, U. R. (2021, August 9). A study of job seeker perspectivetowards various job portals: Special reference to Navi Mumbai. ResearchGate.
Copyright © 2024 Mr. Monish D, Mrs. V. P. Swetha. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Paper Id : IJRASET65787
Publish Date : 2024-12-07
ISSN : 2321-9653
Publisher Name : IJRASET
DOI Link : Click Here