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Faiz Ahamad

dblp:243/1673 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 2020
0000-0003-4427-7215ORCID · reported

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 1 · 1 first-authorDatabases, data management, data science and information retrieval · 1 · 1 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Interdisciplinary, comprehensive, and emerging computing
1 paper
Computational social science and digital humanities · 100%
Databases, data mining, and information retrieval
1 paper
Web and social media mining · 100%

Topics — the 1 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Web and social media mining › user-generated content
online reviews
0.112020
Impact of Online Job Search and Job Reviews on Job Decision · WSDM 2020

Methods — techniques the papers use, named apart from their topics

survey · 0.9experimental study · 0.9
YearPublicationVenuePosition
2020 Impact of Online Job Search and Job Reviews on Job Decision
abstract
Online platforms such as LinkedIn or specialized platforms such as Glassdoor are widely used by job seekers before applying for the job. These web platforms have rating and reviews about employer and jobs. Hence a job seeker do online search for the employer, before applying for the job. They try to find if the employer and job is good for them or not, what are the pros and cons of working there etc. Therefore, these reviews and ratings have an impact on job seekers decision as it portrays the pros and cons of working in a particular firm. Hence, the main objective of this study is main objective of this study is to find how the job seekers search for online employer reviews and the impact of these reviews on employer attractiveness and job pursuit intention. The other objective is to find the most crucial job factors that are given priority by the employee. For this, the study is proposed to be conducted in two stages, first, collecting data from the website Glassdoor, having 600000 companies' reviews. In the second stage, conducting an experimental study to examine the influence of job attributes (high vs. low) and employer rating (high vs. low) on job choice and employer attractiveness.
Faiz Ahamad
WSDM1