Biased minds experience improved decision-making speed and confidence on social media: a heuristic approach

Caiwei Ma (), Norman Au () and Lianping Ren ()
Additional contact information
Caiwei Ma: Shanghai Polytechnic University
Norman Au: The Hong Kong Polytechnic University
Lianping Ren: Macao Institute for Tourism Studies

Information Technology & Tourism, No 0, 32 pages

Abstract: Abstract The presence of impatient customers is a common phenomenon in many contexts, especially in online shopping. How to catch customers and speed up their decision speed and confidence is vital to industry players. Numerous studies have demonstrated that travelers cherish credible information. Accordingly, this study investigated the effects of social media information credibility on travelers’ decision speed and confidence under the mediating effects of heuristic information processing approach. The results revealed that heuristic approach mediated the relationship between information credibility and the various levels of subsequent perceived decision speed and confidence. On the basis of the findings, this study suggests that travelers’ perceived decision speed is more meaningful for consideration than their real decision time. Although heuristics are often associated with bias, this study proved that biased mind helped accelerate perceived decision speed and enhance decision confidence.

Keywords: Decision speed; Decision confidence; Heuristic processing; Social media information (search for similar items in EconPapers)
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://link.springer.com/10.1007/s40558-020-00184-0 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:infott:v::y::i::d:10.1007_s40558-020-00184-0

Ordering information: This journal article can be ordered from
http://www.springer. ... ystems/journal/40558

DOI: 10.1007/s40558-020-00184-0

Access Statistics for this article

Information Technology & Tourism is currently edited by Zheng Xiang

More articles in Information Technology & Tourism from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().