Withdraw
Loading…
Predictive factors of information seeking behavior of smartphone users from different generations
Zhitomirsky-Geffet, Maayan; Blau, Maya
Loading…
Permalink
https://hdl.handle.net/2142/96761
Description
- Title
- Predictive factors of information seeking behavior of smartphone users from different generations
- Author(s)
- Zhitomirsky-Geffet, Maayan
- Blau, Maya
- Issue Date
- 2017
- Keyword(s)
- Smartphone usage
- Predictive factors
- Social information seeking
- Functional information seeking
- Cognitive information seeking
- Abstract
- Two most predominant types of information seeking behaviour of smartphone users were determined based on the existing literature: 1) social information seeking, and 2) functional/cognitive information seeking. A questionnaire comprising 64 items was administered online to 216 Israeli smartphone users of three age groups: generation X, generation Y (Millennials), and generation Z (Mobile natives). Several predictive factors were examined for each of these information seeking behaviour types: gender, personality traits (the Big Five), daily usage time, period of ownership and the level of emotional gain from smartphone usage. Younger generations reported significantly higher emotional gain and social information seeking behavior than older generations. Interestingly, extroversion was positively related to social information seeking behaviour only for generations X and Y, while WhatsApp use was one of the strongest predictive factors only for generation Z. This research has social and practical implications for information system design, education, e-commerce and libraries.
- Publisher
- iSchools
- Series/Report Name or Number
- iConference 2017 Proceedings
- Type of Resource
- text
- Language
- en
- Permalink
- http://hdl.handle.net/2142/96761
- Copyright and License Information
- Copyright 2017 Maayan Zhitomirsky-Geffe and Maya Blau
Owning Collections
Manage Files
Loading…
Edit Collection Membership
Loading…
Edit Metadata
Loading…
Edit Properties
Loading…
Embargoes
Loading…