Kenneth David Strang

Prof. Dr. Kenneth David Strang

Graduate Business School Professor, University of the Cumberlands, Williamsburg, Kentucky, USA
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Research Focus & Metrics

Academic Career Length

22Years (2005-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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3 October 2016 in Journal of Computer Information Systems
Verified
Journal Article
Closed access
ZSZhaohao Sun
Zhaohao Sun
LSLizhe Sun
Lizhe Sun
Kenneth David StrangKenneth David Strang
Kenneth David Strang
This article examines how to use big data analytics services to enhance business intelligence (BI). More specifically, this article proposes an ontology of big data analytics and presents a big data analytics service-oriented architecture (BASOA), and then applies BASOA to BI, where our surveyed data analysis shows that the proposed BASOA is viable for enhancing BI and enterprise information systems. This article also explores temporality, expectability, and relativity as the characteristics of intelligence in BI. These characteristics are what customers and decision makers expect from BI in terms of systems, products, and services of organizations. The proposed approach in this article might facilitate the research and development of business analytics, big data analytics, and BI as well as big data science and big data computing.

22 July 2016 in Journal of Computer Information Systems
Verified
Journal Article
Closed access
ZSZhaohao Sun
Zhaohao Sun
Kenneth David StrangKenneth David Strang
Kenneth David Strang
SFSally Firmin
Sally Firmin
Big data analytics and business analytics are a disruptive technology and innovative solution for enterprise development. However, what is the relationship between business analytics, big data analytics, and enterprise information systems (EIS)? How can business analytics enhance the development of EIS? How can analytics be incorporated into EIS? These are still big issues. This article addresses these three issues by proposing ontology of business analytics, presenting an analytics service-oriented architecture (ASOA) and applying ASOA to EIS, where our surveyed data analysis showed that the proposed ASOA is viable for developing EIS. This article then examines incorporation of business analytics into EIS through proposing a model for business analytics service-based EIS, or ASEIS for short. The proposed approach in this article might facilitate the research and development of EIS, business analytics, big data analytics, and business intelligence.

13 January 2016 in Education and Information Technologies
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Journal Article
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Kenneth David StrangKenneth David Strang
Kenneth David Strang

8 February 2018 in Journal of Computer Information Systems
Verified
Journal Article
Closed access
ZSZhaohao Sun
Zhaohao Sun
Kenneth David StrangKenneth David Strang
Kenneth David Strang
FPFrancisca Pambel
Francisca Pambel
Privacy and security in the big data age have drawn significant attention in the academia and industry. This article examines privacy and security in the big data paradigm through proposing a model for privacy and security in the big data age and a classification of big data-driven privacy and security. It extends the big data body of knowledge, highlights important research topics, and identifies critical gaps through statistical analysis of big data and its impacts on privacy and security based on literature data published from 1916 to 2016. It also presents the state-of-the-art privacy and security based on the analysis of SCOPUS data from 2012 to 2016. The result shows that privacy and security face new challenges and require new policies, technologies, and tools for protecting privacy in the big data paradigm. The proposed approach might facilitate the research and development of privacy and security, and big data-driven privacy and security in terms of technology, governance, and policy development.

27 October 2018
Verified
Conference Paper
Open access
PDF file
ZSZhaohao Sun
Zhaohao Sun
Kenneth David StrangKenneth David Strang
Kenneth David Strang
RLRongping Li
Rongping Li

1 January 2012 in International Journal of Risk and Contingency Management
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Journal Article
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YGYölande Goodwin
Yölande Goodwin
Kenneth David StrangKenneth David Strang
Kenneth David Strang
This is a review of the extant risk theory literature that hypothesizes new cross-cultural perceptions and multi-disciplinary techniques have emerged in risk management practice. Basic concepts in risk theory are introduced and then the generally accepted risk management framework is explained (identification, assessment, planning, and control). Global macro-environment factors and contemporary risk assessment practices are briefly explored. A multi-disciplinary socio-cultural meta-model of risk theory is developed. The paper concludes with ideas and proposes research questions for future studies.