Information Seeking Motivation Scale development: a self-determination perspective
ISSN: 0022-0418
Article publication date: 4 October 2017
Issue publication date: 12 October 2017
Abstract
Purpose
Using self-determination motivation theory as a theoretical framework, the purpose of this paper is to examine information seeking motivation at the domain level in higher education setting.
Design/methodology/approach
Confirmatory factor analysis was used to validate the Information Seeking Motivation Scale – College Version (ISMS – C).
Findings
ISMS – C was validated in the information seeking context. Consistent with self-determination theory (SDT), the results imply that students approach research tasks for both controlled and autonomous reasons.
Research limitations/implications
All constructs representing extrinsic and intrinsic motivation on a continuum were confirmed. However, amotivation proved difficult to define with the current sample. Additional studies need to be conducted in higher education setting in order to confirm its existence.
Practical implications
Given that the situational motivation is contingent on domain-level motivation, the ISMS – C scale can be helpful in promoting lasting intrinsic information seeking motivation at that level.
Originality/value
Consistent with the subjectivist orientation in information sciences which aims to account for cognitive and affective forces behind information need, ISMS constructed in the current study is one of the first measurement instruments to account for a spectrum of information seeking motivations at the domain level.
Keywords
Citation
Dubnjakovic, A. (2017), "Information Seeking Motivation Scale development: a self-determination perspective", Journal of Documentation, Vol. 73 No. 5, pp. 1034-1052. https://doi.org/10.1108/JD-03-2017-0032
Publisher
:Emerald Publishing Limited
Copyright © 2017, Emerald Publishing Limited
Related articles
- Artificial intelligence methods available for cancer researchAnkita Murmu, Frontiers of Medicine, 2024
- Artificial intelligence in radiotherapy: a technological reviewKe Sheng, Frontiers of Medicine, 2020
- Research on Artificial Intelligence Technology for Lunar Scientific Research StationJournal of Deep Space Exploration, 2023
- Artificial Intelligence in Infrastructure Construction: A critical reviewFrontiers of Engineering Management, 2024
- Artificial Intelligence Empowering the High-Quality Development of Education: Demands, Visions, and PathsFrontiers of Education in China, 2023
- From total quality management to Quality 4.0: A systematic literature review and future research agendaFrontiers of Engineering Management, 2023
- A comprehensive review of molecular optimization in artificial intelligence-based drug discoveryYuhang Xia, Quantitative Biology
- CO2 capture using membrane contactors: a systematic literature reviewSanaa Hafeez, Frontiers of Chemical Science and Engineering, 2021
- Artificial intelligence and evidence-based research will promote the development of traditional medicineXinran Liu, Acupuncture and Herbal Medicine, 2024
- An Analysis of Fundamental Issues in the Research of Artificial Intelligence Ethical Risk PreventionDU Yanyong, Frontiers of Philosophy in China, 2022