Diminishing returns of information quality: Untangling the determinants of best answer selection. (January 2022)
- Record Type:
- Journal Article
- Title:
- Diminishing returns of information quality: Untangling the determinants of best answer selection. (January 2022)
- Main Title:
- Diminishing returns of information quality: Untangling the determinants of best answer selection
- Authors:
- Osatuyi, Babajide
Passerini, Katia
Turel, Ofir - Abstract:
- Abstract: Online question and answer (Q&A) platforms are ideal live repositories for knowledge sharing and exchange. On Q&A platforms, a seeker may receive one answer to a question, none, or multiple answers. In the case of many answers, it is important to understand which answer will be selected as the best to inform how seekers retrieve knowledge-based solutions to inquiries. This study develops a best answer selection model that integrates the characteristics of the information exchanged as perceived by the knowledge community and those of the individuals exchanging such information (i.e., answers contributors and answers seekers). Using data from StackOverflow.com, we built conditional logit models to examine the determinants of the best answer selection. Results show that contributors' reputation and the quality of the information (measured as the net vote score received by an answer) are important determinants of best answer selection. This research theorizes on and uncovers a non-linear relationship between the net vote score received by an answer (a proxy for information quality) and its likelihood of being selected as the best answer by the seeker. We also find that the seekers' reputation and the contributors' reputation influence how information quality affects the selection of the best answer. Highlights: Contributors' reputation and the quality of the information are important determinants of best answer selection. There is a non-linear relationship betweenAbstract: Online question and answer (Q&A) platforms are ideal live repositories for knowledge sharing and exchange. On Q&A platforms, a seeker may receive one answer to a question, none, or multiple answers. In the case of many answers, it is important to understand which answer will be selected as the best to inform how seekers retrieve knowledge-based solutions to inquiries. This study develops a best answer selection model that integrates the characteristics of the information exchanged as perceived by the knowledge community and those of the individuals exchanging such information (i.e., answers contributors and answers seekers). Using data from StackOverflow.com, we built conditional logit models to examine the determinants of the best answer selection. Results show that contributors' reputation and the quality of the information (measured as the net vote score received by an answer) are important determinants of best answer selection. This research theorizes on and uncovers a non-linear relationship between the net vote score received by an answer (a proxy for information quality) and its likelihood of being selected as the best answer by the seeker. We also find that the seekers' reputation and the contributors' reputation influence how information quality affects the selection of the best answer. Highlights: Contributors' reputation and the quality of the information are important determinants of best answer selection. There is a non-linear relationship between information quality and its likelihood of being selected as the best answer. Seekers' reputation influences the extent to which information quality affects the selection of the best answer. Contributors' reputation influences the extent to which information quality affects the selection of the best answer. Game elements are viable sources of motivation for knowledge exchange. … (more)
- Is Part Of:
- Computers in human behavior. Volume 126(2022)
- Journal:
- Computers in human behavior
- Issue:
- Volume 126(2022)
- Issue Display:
- Volume 126, Issue 2022 (2022)
- Year:
- 2022
- Volume:
- 126
- Issue:
- 2022
- Issue Sort Value:
- 2022-0126-2022-0000
- Page Start:
- Page End:
- Publication Date:
- 2022-01
- Subjects:
- Online question and answer platforms -- Decision-making -- Knowledge assets -- Yale's model of persuasive communication
Interactive computer systems -- Periodicals
Man-machine systems -- Periodicals
004.019 - Journal URLs:
- http://www.sciencedirect.com/science/journal/07475632 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.chb.2021.107009 ↗
- Languages:
- English
- ISSNs:
- 0747-5632
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3394.921600
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 19916.xml