Since 2014
How companies succeed and fail to succeed with the implementation of intelligence systems
Journal of Intelligence Studies in Business
View Archive Info| Field | Value | |
| Title |
How companies succeed and fail to succeed with the implementation of intelligence systems
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| Creator |
Söilen, Klaus Solberg
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| Subject |
Marketing, Information systems, Business Intelligence, Intelligence Studies
Business Intelligence, Intelligence Studie |
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| Description |
Most papers in this issue deal with different sides of technological systems and managerial practices usedfor intelligence work in private organizations. Empirical data from a number of countries and companiesare gathered to illustrate how companies work and fail to work with business intelligence and competitiveintelligence in organizations.The paper by Rezaie, Mirabedini and Abtahi entitled “Identifying key effective factors on theimplementation process of business intelligence in the banking industry of Iran” identifies key effectivefactors on the implementation process of business intelligence. Thirty-nine factors were identified andclassified in nine main groups, including organizational, human, data quality, environmental, systemability, strategic, service quality, technical infrastructure, and managerial factors.The paper by Bisson and Gurpinar entitled “A Bayesian approach to developing a strategic earlywarning system for the French milk market” suggests a new strategic early warning system forcompanies and public organizations to better anticipate market changes and make more robust decisions.The paper by Al Rashdi and Nair entitled “A business intelligence framework for Sultan QaboosUniversity: A case study in the Middle East” aims to build a customized business intelligence (BI)framework for Sultan Qaboos University (SQU). A prototype is tested with good results.The paper by Søilen, Tontini, Aagerup and Andersson entitled “The perception of usefulinformation derived from Twitter: A survey of professionals” is a survey of professionals about the valueof the information or intelligence on Twitter. It shows that Twitter is perceived as a service for usefulinformation but not for the reason one may expect, not because the content of the tweets gives valuableinformation, but because of what can be derived and extracted from the information that is being tweetedand not tweeted.The paper by Calof, Richards and Santilli entitled “Insight through open intelligence” is anopinion piece that gives suggestions of how to broaden the CI field with the help of open innovation.
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| Publisher |
Journal of Intelligence Studies in Business
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| Contributor |
—
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| Date |
2017-11-30
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| Type |
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion — Historical |
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| Format |
application/pdf
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| Identifier |
https://ojs.hh.se/index.php/JISIB/article/view/275
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| Source |
Journal of Intelligence Studies in Business; Vol 7, No 3 (2017): Journal of Intelligence Studies in Business
2001-015X 2001-0168 |
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| Language |
eng
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| Relation |
https://ojs.hh.se/index.php/JISIB/article/view/275/174
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| Rights |
Copyright (c) 2017 Journal of Intelligence Studies in Business
http://creativecommons.org/licenses/by-nc-nd/4.0 |
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