Abstract
Management of technology implementation has been a critical challenge to organizations, public or private. In particular, user acceptance is paramount to the ultimate success of a newly implemented technology in adopting organizations. This study examined acceptance of COPLINK, a suite of IT applications designed to support law enforcement officers' analyses of criminal activities. We developed a factor model that explains or predicts individual officers' acceptance decision-making and empirically tested this model using a survey study that involved more than 280 police officers. Overall, our model shows a reasonably good fit to officers' acceptance assessments and exhibits satisfactory explanatory power. Our analysis suggests a prominent core influence path from efficiency gain to perceived usefulness and then to intention to accept. Subjective norm also appears to have a significant effect on user acceptance through the mediation of perceived usefulness. Several managerial implications derived from our study findings are also discussed.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 209-222 |
| Number of pages | 14 |
| Journal | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
| Volume | 2665 |
| State | Published - 2003 |
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ASJC Scopus subject areas
- Computer Science(all)
- Biochemistry, Genetics and Molecular Biology(all)
- Theoretical Computer Science
Cite this
Examining technology acceptance by individual law enforcement officers : An exploratory study. / Hu, Paul Jen Hwa; Lin, Chienting; Chen, Hsinchun.
In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 2665, 2003, p. 209-222.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Examining technology acceptance by individual law enforcement officers
T2 - An exploratory study
AU - Hu, Paul Jen Hwa
AU - Lin, Chienting
AU - Chen, Hsinchun
PY - 2003
Y1 - 2003
N2 - Management of technology implementation has been a critical challenge to organizations, public or private. In particular, user acceptance is paramount to the ultimate success of a newly implemented technology in adopting organizations. This study examined acceptance of COPLINK, a suite of IT applications designed to support law enforcement officers' analyses of criminal activities. We developed a factor model that explains or predicts individual officers' acceptance decision-making and empirically tested this model using a survey study that involved more than 280 police officers. Overall, our model shows a reasonably good fit to officers' acceptance assessments and exhibits satisfactory explanatory power. Our analysis suggests a prominent core influence path from efficiency gain to perceived usefulness and then to intention to accept. Subjective norm also appears to have a significant effect on user acceptance through the mediation of perceived usefulness. Several managerial implications derived from our study findings are also discussed.
AB - Management of technology implementation has been a critical challenge to organizations, public or private. In particular, user acceptance is paramount to the ultimate success of a newly implemented technology in adopting organizations. This study examined acceptance of COPLINK, a suite of IT applications designed to support law enforcement officers' analyses of criminal activities. We developed a factor model that explains or predicts individual officers' acceptance decision-making and empirically tested this model using a survey study that involved more than 280 police officers. Overall, our model shows a reasonably good fit to officers' acceptance assessments and exhibits satisfactory explanatory power. Our analysis suggests a prominent core influence path from efficiency gain to perceived usefulness and then to intention to accept. Subjective norm also appears to have a significant effect on user acceptance through the mediation of perceived usefulness. Several managerial implications derived from our study findings are also discussed.
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UR - http://www.scopus.com/inward/citedby.url?scp=35248831136&partnerID=8YFLogxK
M3 - Article
AN - SCOPUS:35248831136
VL - 2665
SP - 209
EP - 222
JO - Lecture Notes in Computer Science
JF - Lecture Notes in Computer Science
SN - 0302-9743
ER -