Characteristics of collaborative information seeking activities during group trip planning: A preliminary study

2019 ◽  
Vol 56 (1) ◽  
pp. 648-650
Author(s):  
Jannatul Fardous ◽  
Jia Tina Du
Keyword(s):  
Information Seeking ◽  
Trip Planning ◽  
Preliminary Study ◽  
Collaborative Information Seeking

scholarly journals Group trip planning and information seeking behaviours by mobile social media users: A study of tourists in Australia, Bangladesh and China

2019 ◽  
pp. 016555151989051 ◽  
Author(s):  
Jannatul Fardous ◽  
Jia Tina Du ◽  
Preben Hansen ◽  
Kim-Kwang Raymond Choo ◽  
Songshan (Sam) Huang
Keyword(s):  
Decision Making ◽  
Social Media ◽  
Social Interactions ◽  
Information Seeking ◽  
Trip Planning ◽  
Travel Information ◽  
Collaborative Information Seeking ◽  
Tourism Information ◽  
In Cis ◽  
Chinese Travellers

Social media plays an increasingly important role in travel information seeking and decision-making. However, there is limited understanding of how a group of tourists use social media to plan trips collaboratively and the different practices between countries. In this study, we investigated the collaborative information seeking (CIS) and sharing behaviours of mobile social media users from Australia, Bangladesh and China. Specifically, we surveyed a total of 219 participants to explore the differences in CIS behaviours when people were planning a group trip. The findings suggest significant differences among three countries in terms of the motivations of using social media, CIS activities and social interactions outside the group. Key findings include Bangladeshi and Chinese travellers preferred known contacts on social media, while Australian tourists intended to use both known contacts and user-generated contents for seeking information. The findings also show that social interactions employed by individuals are considered as an important complement of and are interwoven with in-group CIS; both contribute to tourism information seeking. Finally, we propose a framework for CIS research in the tourism domain.

Workshop on Social and Collaborative Information Seeking (SCIS)

2016 ◽  
Vol 49 (2) ◽  
pp. 117-122 ◽  
Author(s):  
Chirag Shah ◽  
Rob Capra ◽  
Preben Hansen
Keyword(s):  
Information Seeking ◽  
Collaborative Information Seeking

scholarly journals Report on the First International Workshop on the Evaluation on Collaborative Information Seeking and Retrieval (ECol'2015)

2016 ◽  
Vol 50 (1) ◽  
pp. 42-48 ◽  
Author(s):  
Laure Soulier ◽  
Lynda Tamine ◽  
Tetsuya Sakai ◽  
Leif Azzopardi ◽  
Jeremy Pickens
Keyword(s):  
Information Seeking ◽  
International Workshop ◽  
Collaborative Information Seeking

Synthetic Environments for Investigating Collaborative Information Seeking: An Application in Emergency Restoration of Critical Infrastructures

2015 ◽  
Vol 12 (3) ◽  
Author(s):  
David Mendonça ◽  
William A. Wallace ◽  
Barbara Cutler ◽  
James Brooks
Keyword(s):  
Information Seeking ◽  
Large Scale ◽  
Critical Infrastructure ◽  
Future Research ◽  
Critical Infrastructures ◽  
Close Collaboration ◽  
Number Of Factors ◽  
Computer Based ◽  
Collaborative Information Seeking ◽  
Post Disaster

AbstractLarge-scale disasters can produce profound disruptions in the fabric of interdependent critical infrastructure systems such as water, telecommunications and electric power. The work of post-disaster infrastructure restoration typically requires information sharing and close collaboration across these sectors; yet – due to a number of factors – the means to investigate decision making phenomena associated with these activities are limited. This paper motivates and describes the design and implementation of a computer-based synthetic environment for investigating collaborative information seeking in the performance of a (simulated) infrastructure restoration task. The main contributions of this work are twofold. First, it develops a set of theoretically grounded measures of collaborative information seeking processes and embeds them within a computer-based system. Second, it suggests how these data may be organized and modeled to yield insights into information seeking processes in the performance of a complex, collaborative task. The paper concludes with a discussion of implications of this work for practice and for future research.

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