Performance of search engines in harvesting grey literature

Author:

Loan Fayaz Ahmad,Parray Umer Yousuf,Khan Aasif Mohammad

Abstract

Purpose The purpose of the study is to examine how far search engines have succeeded in retrieving electronic theses and dissertations (ETDs) using different search techniques and approaches. This study also compared the search results of search engines to identify the most suitable search engine for searching and retrieving the ETDs. Design/methodology/approach Fifty ETDs have been selected using systematic random sampling techniques from Shodhganga (a reservoir of Indian theses). These ETDs have been searched through prominent search engines such as Google, Google Scholar, Yahoo and Open Access Theses and Dissertation (OATD) using different search approaches and techniques. Findings The overall performance of the search engines revealed that Google retrieved most of the ETDs (89%) followed by OATD (88.5%), Yahoo (78%) and Google Scholar (76%), respectively. Originality/value The results have brought into light interesting findings regarding search engines in retrieving grey literature.

Publisher

Emerald

Subject

Library and Information Sciences,Information Systems

Reference23 articles.

1. The influence of contextual factors on the adoption and development of electronic theses and dissertations (ETD) programmes in the Arab Gulf states;Library Management,2014

2. Comparison of PubMed and Google Scholar literature searches;Respiratory Care,2010

3. Managing technology: How I learned to stop worrying and love google;The Journal of Academic Librarianship,2011

4. Comparative evaluation of web search engines in health information retrieval;Online Information Review,2011

5. In Google we trust: Users' decisions on rank, position, and relevance;Journal of Computer-Mediated Communication,2007

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