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Issue
19 January - Volume 67, Issue 1, Pages 2 - 115
16 March - Volume 67, Issue 2, Pages 118 - 243
18 May - Volume 67, Issue 3, Pages 260 - 371
20 July - Volume 67, Issue 4, Pages 374 - 468
21 September - Volume 67, Issue 5, Pages 470 - 612
16 November - Volume 67, Issue 6, Pages 614 - 734
Volume 67, Issue 4
20 July 2015
Editors
Dan Wu
Dan Wu
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ISSN
2050-3806
EISSN
2050-3814
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Book or NOOK? Information behavior of academic librarians
Elizabeth McDonald
;
Marina Rosenfield
;
Tim Furlow
;
Tara Kron
;
Irene Lopatovska
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titled, SCM.SharedControls.Infrastructure.TitleDisplayModel?.Text
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for Book or NOOK? Information behavior of academic librarians
Evaluating hotels rating prediction based on sentiment analysis services
Rutilio Rodolfo López Barbosa
;
Salvador Sánchez-Alonso
;
Miguel Angel Sicilia-Urban
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for Evaluating hotels rating prediction based on sentiment analysis services
Document-based approach to improve the accuracy of pairwise comparison in evaluating information retrieval systems
Sri Devi Ravana
;
MASUMEH SADAT TAHERI
;
Prabha Rajagopal
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for Document-based approach to improve the accuracy of pairwise comparison in evaluating information retrieval systems
Knowledge management reliability assessment: an empirical investigation
Roozbeh Hesamamiri
;
Mohammad Mahdavi Mazdeh
;
Mostafa Jafari
;
Kamran Shahanaghi
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for Knowledge management reliability assessment: an empirical investigation
User studies and user education programmes in archival institutions
Shadrack Katuu
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for User studies and user education programmes in archival institutions
Authors self-citation behaviour in the field of Library and Information Science
Tariq Ahmad Shah
;
Sumeer Gul
;
Ramesh C Gaur
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Configurational effects of question-related features on the quantity and quality of answers in academic Q&A sites
Understanding the effects of standardization and personalization on continuous use intention of AI chatbots: the pivotal role of emotional attachment
More effective improvement: social support congruence for emotion conditions in online depression and anxiety groups
Influence of features on adoption intention of AI health assistants: insights from mind perception theory
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