Which Problems to Solve? Online Knowledge Sharing and Attention Allocation in Organizations

Why do individuals allocate attention to specific problems in organizations? Viewing online knowledge sharing as a matching process between knowledge providers and problems, we examine attention allocation in the context of an online community within which knowledge providers respond to problems pos...

Full description

Saved in:
Bibliographic Details
Main Authors: HAAS, Martine R., CRISCULO, Paola, GEORGE, Gerard
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2015
Subjects:
Online Access:https://ink.library.smu.edu.sg/lkcsb_research/4620
https://ink.library.smu.edu.sg/context/lkcsb_research/article/5619/viewcontent/WHICH_PROBLEMS_TO_SOLVE_ONLINE_KNOWLEDGE_pv.pdf
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Singapore Management University
Language: English
id sg-smu-ink.lkcsb_research-5619
record_format dspace
spelling sg-smu-ink.lkcsb_research-56192021-12-06T08:24:26Z Which Problems to Solve? Online Knowledge Sharing and Attention Allocation in Organizations HAAS, Martine R. CRISCULO, Paola GEORGE, Gerard Why do individuals allocate attention to specific problems in organizations? Viewing online knowledge sharing as a matching process between knowledge providers and problems, we examine attention allocation in the context of an online community within which knowledge providers respond to problems posted by other organization members. We argue that knowledge providers are more likely to allocate attention to solving problems that more closely match their expertise, but that decisions to allocate attention are also influenced by problem characteristics such as length, breadth, and novelty, as well as by problem crowding. Analyzing 1,251 realized matches and 12,510 nonrealized matches among knowledge providers and problems posted over a 32-month period on an online discussion forum within a global engineering firm, we find evidence to support our claim that attention allocation is driven by the features of a particular provider–problem match, thereby shifting the discourse from knowledge provider–seeker relationships to knowledge provider–problem matches. The implications for theories of knowledge sharing, matching processes, and managerial attention are discussed. 2015-06-01T07:00:00Z text application/pdf https://ink.library.smu.edu.sg/lkcsb_research/4620 info:doi/10.5465/amj.2013.0263 https://ink.library.smu.edu.sg/context/lkcsb_research/article/5619/viewcontent/WHICH_PROBLEMS_TO_SOLVE_ONLINE_KNOWLEDGE_pv.pdf http://creativecommons.org/licenses/by-nc-nd/4.0/ Research Collection Lee Kong Chian School Of Business eng Institutional Knowledge at Singapore Management University Business Organizational Behavior and Theory Strategic Management Policy
institution Singapore Management University
building SMU Libraries
continent Asia
country Singapore
Singapore
content_provider SMU Libraries
collection InK@SMU
language English
topic Business
Organizational Behavior and Theory
Strategic Management Policy
spellingShingle Business
Organizational Behavior and Theory
Strategic Management Policy
HAAS, Martine R.
CRISCULO, Paola
GEORGE, Gerard
Which Problems to Solve? Online Knowledge Sharing and Attention Allocation in Organizations
description Why do individuals allocate attention to specific problems in organizations? Viewing online knowledge sharing as a matching process between knowledge providers and problems, we examine attention allocation in the context of an online community within which knowledge providers respond to problems posted by other organization members. We argue that knowledge providers are more likely to allocate attention to solving problems that more closely match their expertise, but that decisions to allocate attention are also influenced by problem characteristics such as length, breadth, and novelty, as well as by problem crowding. Analyzing 1,251 realized matches and 12,510 nonrealized matches among knowledge providers and problems posted over a 32-month period on an online discussion forum within a global engineering firm, we find evidence to support our claim that attention allocation is driven by the features of a particular provider–problem match, thereby shifting the discourse from knowledge provider–seeker relationships to knowledge provider–problem matches. The implications for theories of knowledge sharing, matching processes, and managerial attention are discussed.
format text
author HAAS, Martine R.
CRISCULO, Paola
GEORGE, Gerard
author_facet HAAS, Martine R.
CRISCULO, Paola
GEORGE, Gerard
author_sort HAAS, Martine R.
title Which Problems to Solve? Online Knowledge Sharing and Attention Allocation in Organizations
title_short Which Problems to Solve? Online Knowledge Sharing and Attention Allocation in Organizations
title_full Which Problems to Solve? Online Knowledge Sharing and Attention Allocation in Organizations
title_fullStr Which Problems to Solve? Online Knowledge Sharing and Attention Allocation in Organizations
title_full_unstemmed Which Problems to Solve? Online Knowledge Sharing and Attention Allocation in Organizations
title_sort which problems to solve? online knowledge sharing and attention allocation in organizations
publisher Institutional Knowledge at Singapore Management University
publishDate 2015
url https://ink.library.smu.edu.sg/lkcsb_research/4620
https://ink.library.smu.edu.sg/context/lkcsb_research/article/5619/viewcontent/WHICH_PROBLEMS_TO_SOLVE_ONLINE_KNOWLEDGE_pv.pdf
_version_ 1770572368526180352