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Papers by Chaojie Wang
International Journal of Management, Knowledge and Learning, 2019
Decision Support Systems have significance, as today firms turn to big data, machine learning, an... more Decision Support Systems have significance, as today firms turn to big data, machine learning, and artificial intelligence to guide strategy development and improve organizational performance. However, technology is not enough; human intelligence is necessary. This paper introduces Artificial Intelligence to the Emotional Intelligence Model, which blends technology and humanity to support strategic decision-making. Such a model builds on the DataInformation-Knowledge-Wisdom hierarchy and knowledge management to integrate five types of intelligence. The consumer electronics retail giant Best Buy is used as a case to illustrate the relevance of the model. The presented framework provides a powerful, mental model to support organizational strategists and business executives.
International Journal of Management, Knowledge and Learning, 2019
Decision Support Systems have significance, as today firms turn to big data, machine learning, an... more Decision Support Systems have significance, as today firms turn to big data, machine learning, and artificial intelligence to guide strategy development and improve organizational performance. However, technology is not enough; human intelligence is necessary. This paper introduces Artificial Intelligence to the Emotional Intelligence Model, which blends technology and humanity to support strategic decision-making. Such a model builds on the Data-Information-Knowledge-Wisdom hierarchy and knowledge management to integrate five types of intelligence. The consumer electronics retail giant Best Buy is used as a case to illustrate the relevance of the model. The presented framework provides a powerful, mental model to support organizational strategists and business executives.
Issue in Information Systems, 2019
This reflective paper provides fresh accounts of the four co-authors' personal experiences with r... more This reflective paper provides fresh accounts of the four co-authors' personal experiences with respect to successfully completing the Doctor of Science in Information Systems and Communications program at Robert Morris University. This paper also presents a Yin & Yang Research Model that integrates the ancient Chinese concept of Yin and Yang and the modern Western concept of the Data-Information-Knowledge-Wisdom hierarchy. This model reflects the complementary nature of qualitative and quantitative research methodologies. The unusually high graduation rate of this program over two decades, coupled with the subsequent, successful career trajectories of over 200 graduates, attest to the effective balance of humanity and technology that characterizes this program. The mix of doctoral courses offered within this program, coupled with the technical expertise and philosophical and research orientations of the associated faculty members, is fully consistent with this Yin and Yang concept of balance and harmony. The program was able to accommodate and individually benefit the four authors, each of whom came from a different national cultural heritage and birth country, had a different professional and technical background, and employed a different research methodology from the other three in their doctoral dissertation. This paper also illustrates the benefits of a cohort-based, resident, executive format doctoral program that emphasizes support and collaboration, knowledge sharing and co-creation. While four recent graduates represent an admittedly small and biased sample of the program's 200+ graduates, the authors nevertheless believe their reflections, considered within the framework of the Yin & Yang Research Model, provide valuable insights useful for comprehending some of the reasons for the program's consistently high graduation rate. Such insights may be useful to other institutions seeking to establish a new, similar program, or to improve an existing one. In addition, this paper provides practical and theoretical perspectives to help prospective students considering the pursuit of a terminal degree, in the process of program selection, or already on their selected path of higher learning.
Internatioanl Journal of Big Data and Analytics in Healthcare, 2019
Improving the performance and reducing the cost of healthcare have been a great concern and a hug... more Improving the performance and reducing the cost of healthcare have been a great concern and a huge challenge for healthcare organizations and governments at every level in the US. Measures taken have included laws, regulations, policies, and initiatives that aim to improve quality of care, reduce costs of care, and increase access to care. Central to these measures is the meaningful and effective use of Big Data analytics. To reap the benefits of big data analytics and align expectations with results, researchers, practitioners, and policymakers must have a clear understanding of the unique circumstances of healthcare including the strengths, weaknesses, opportunities, and threats (SWOT) associated with the use of this emerging technology. Through descriptive SWOT analysis, this article helps healthcare stakeholders gain awareness of both success factors and issues, pitfalls, and barriers in the adoption of big data analytics in healthcare.
Issues In Information Systems, 2018
Data analytics may be heavily reliant on technology such as statistical models, machine learning ... more Data analytics may be heavily reliant on technology such as statistical models, machine learning algorithms, big data, and cloud computing; however, its outcome depends largely on human qualities such as experience, intuition, value, and judgement. Human knowledge is at the core of data analytics and knowledge management plays a key role in the analytics process. This paper uses the Data-Information-Knowledge-Wisdom (DIKW) hierarchy as an overarching structure to examine the end-to-end process of data analytics and to illustrate a conceptual three-phase data analytics process model integrating knowledge management practices including the discovery, creation, and application of knowledge. Nonaka's knowledge conversion theory is applied to the analytics process to shed light on the easily and often overlooked human and organizational aspects that are fundamental to the effectiveness of data analytics. The alignment and synergy between data analytics and knowledge management help foster collaboration, drive innovation, and ultimately improve outcome.
Conference Presentations by Chaojie Wang
This presentation summarizes a research paper of the same title published in volume 19, issue 2 o... more This presentation summarizes a research paper of the same title published in volume 19, issue 2 of Issues in Information Systems (IIS).
The paper can be retrieved from the following link:
http://www.iacis.org/iis/iis_articles.php?volume=19&issue=2
International Journal of Management, Knowledge and Learning, 2019
Decision Support Systems have significance, as today firms turn to big data, machine learning, an... more Decision Support Systems have significance, as today firms turn to big data, machine learning, and artificial intelligence to guide strategy development and improve organizational performance. However, technology is not enough; human intelligence is necessary. This paper introduces Artificial Intelligence to the Emotional Intelligence Model, which blends technology and humanity to support strategic decision-making. Such a model builds on the DataInformation-Knowledge-Wisdom hierarchy and knowledge management to integrate five types of intelligence. The consumer electronics retail giant Best Buy is used as a case to illustrate the relevance of the model. The presented framework provides a powerful, mental model to support organizational strategists and business executives.
International Journal of Management, Knowledge and Learning, 2019
Decision Support Systems have significance, as today firms turn to big data, machine learning, an... more Decision Support Systems have significance, as today firms turn to big data, machine learning, and artificial intelligence to guide strategy development and improve organizational performance. However, technology is not enough; human intelligence is necessary. This paper introduces Artificial Intelligence to the Emotional Intelligence Model, which blends technology and humanity to support strategic decision-making. Such a model builds on the Data-Information-Knowledge-Wisdom hierarchy and knowledge management to integrate five types of intelligence. The consumer electronics retail giant Best Buy is used as a case to illustrate the relevance of the model. The presented framework provides a powerful, mental model to support organizational strategists and business executives.
Issue in Information Systems, 2019
This reflective paper provides fresh accounts of the four co-authors' personal experiences with r... more This reflective paper provides fresh accounts of the four co-authors' personal experiences with respect to successfully completing the Doctor of Science in Information Systems and Communications program at Robert Morris University. This paper also presents a Yin & Yang Research Model that integrates the ancient Chinese concept of Yin and Yang and the modern Western concept of the Data-Information-Knowledge-Wisdom hierarchy. This model reflects the complementary nature of qualitative and quantitative research methodologies. The unusually high graduation rate of this program over two decades, coupled with the subsequent, successful career trajectories of over 200 graduates, attest to the effective balance of humanity and technology that characterizes this program. The mix of doctoral courses offered within this program, coupled with the technical expertise and philosophical and research orientations of the associated faculty members, is fully consistent with this Yin and Yang concept of balance and harmony. The program was able to accommodate and individually benefit the four authors, each of whom came from a different national cultural heritage and birth country, had a different professional and technical background, and employed a different research methodology from the other three in their doctoral dissertation. This paper also illustrates the benefits of a cohort-based, resident, executive format doctoral program that emphasizes support and collaboration, knowledge sharing and co-creation. While four recent graduates represent an admittedly small and biased sample of the program's 200+ graduates, the authors nevertheless believe their reflections, considered within the framework of the Yin & Yang Research Model, provide valuable insights useful for comprehending some of the reasons for the program's consistently high graduation rate. Such insights may be useful to other institutions seeking to establish a new, similar program, or to improve an existing one. In addition, this paper provides practical and theoretical perspectives to help prospective students considering the pursuit of a terminal degree, in the process of program selection, or already on their selected path of higher learning.
Internatioanl Journal of Big Data and Analytics in Healthcare, 2019
Improving the performance and reducing the cost of healthcare have been a great concern and a hug... more Improving the performance and reducing the cost of healthcare have been a great concern and a huge challenge for healthcare organizations and governments at every level in the US. Measures taken have included laws, regulations, policies, and initiatives that aim to improve quality of care, reduce costs of care, and increase access to care. Central to these measures is the meaningful and effective use of Big Data analytics. To reap the benefits of big data analytics and align expectations with results, researchers, practitioners, and policymakers must have a clear understanding of the unique circumstances of healthcare including the strengths, weaknesses, opportunities, and threats (SWOT) associated with the use of this emerging technology. Through descriptive SWOT analysis, this article helps healthcare stakeholders gain awareness of both success factors and issues, pitfalls, and barriers in the adoption of big data analytics in healthcare.
Issues In Information Systems, 2018
Data analytics may be heavily reliant on technology such as statistical models, machine learning ... more Data analytics may be heavily reliant on technology such as statistical models, machine learning algorithms, big data, and cloud computing; however, its outcome depends largely on human qualities such as experience, intuition, value, and judgement. Human knowledge is at the core of data analytics and knowledge management plays a key role in the analytics process. This paper uses the Data-Information-Knowledge-Wisdom (DIKW) hierarchy as an overarching structure to examine the end-to-end process of data analytics and to illustrate a conceptual three-phase data analytics process model integrating knowledge management practices including the discovery, creation, and application of knowledge. Nonaka's knowledge conversion theory is applied to the analytics process to shed light on the easily and often overlooked human and organizational aspects that are fundamental to the effectiveness of data analytics. The alignment and synergy between data analytics and knowledge management help foster collaboration, drive innovation, and ultimately improve outcome.
This presentation summarizes a research paper of the same title published in volume 19, issue 2 o... more This presentation summarizes a research paper of the same title published in volume 19, issue 2 of Issues in Information Systems (IIS).
The paper can be retrieved from the following link:
http://www.iacis.org/iis/iis_articles.php?volume=19&issue=2