The Great Academic-Practitioner Divide: A Tale of Two Paradigms

For decades, many academicians have expressed concern about the gap between themselves and practitioners. In those decades, much has been written about the probable causes of and methods for narrowing this gap. Despite the dialog and the efforts to narrow it, the gap remains. This paper explores four assumptions related to the gap. We use paradigm theory to examine the academic world and the practitioner world and to explain how the separate worlds perpetuate the gap. We then propose that academicians either accept the gap or legitimize the pracademic viewpoint. a paradigm that reconciles the differences between the academic and practitioner paradigms. Specific suggestions are provided regarding the establishment and development of the pracademic paradigm

Teaching Innovation and Creativity: Turning Theory into Practice

Innovation and creativity are the lifeblood of organizations. As such, businesses expect college graduates to exhibit the skills necessary to engage in these behaviors. This research explores the concept of innovation, whether it is innate, or if the skill can be taught within the university setting, and how universities are addressing the need for, and teaching innovation. A search of the word “innovation” within educational courses found that most courses are theoretically-oriented or are efforts to cultivate entrepreneurs and/or new inventions, though some appear more practical in nature. A sampling of 50 ACBSP and AACSB accredited universities offering courses in innovation found that approximately half the universities reviewed offered courses in innovation but most courses appeared theoretical. This work contributes to the discussion of business education regarding innovation and the importance of aligning business education with organizational needs

What Tattoos Tell Customers About Salespeople: The Role of Gender Norms

This study looks at how the meaning of visible tattoos impacts customer ratings of salespeople. Given the prevalence of tattoos, sales managers can no longer have a no tattoo policy. As such, they must understand how customers view different types of tattoos on salespeople. To this end, we examine the meaning and appropriateness of highly masculine and highly feminine tattoos on salespeople in two industries, real estate and automobile sales. Overall, people with tattoos trust and are more willing to work with tattooed salespeople than people who do not have tattoos. Furthermore, salespeople with masculine tattoos are considered more masculine than salespeople with feminine tattoos. People view feminine tattoos more positively than masculine tattoos. As such, customers trust and are more willing to work with saleswomen who have feminine tattoos. These effects are diminished for salesmen because feminine tattoos are gender inconsistent

Business Inferences and Risk Modeling with Machine Learning; The Case of Aviation Incidents

Machine learning becomes truly valuable only when decision-makers begin to depend on it to optimize decisions. Instilling trust in machine learning is critical for businesses in their efforts to interpret and get insights into data, and to make their analytical choices accessible and subject to accountability. In the field of aviation, the innovative application of machine learning and analytics can facilitate an understanding of the risk of accidents and other incidents. These occur infrequently, generally in an irregular, unpredictable manner, and cause significant disruptions, and hence, they are classified as "high-impact, low-probability" (HILP) events. Aviation incident reports are inspected by experts, but it is also important to have a comprehensive overview of incidents and their holistic effects. This study provides an interpretable machine-learning framework for predicting aircraft damage. In addition, it describes patterns of flight specifications detected through the use of a simulation tool and illuminates the underlying reasons for specific aviation accidents. As a result, we can predict the aircraft damage with 85% accuracy and 84% in-class accuracy. Most important, we simulate a combination of possible flight-type, aircraft-type, and pilot-expertise combinations to arrive at insights, and we recommend actions that can be taken by aviation stakeholders, such as airport managers, airlines, flight training companies, and aviation policy makers. In short, we combine predictive results with simulations to interpret findings and prescribe actions

Business Inferences and Risk Modeling with Machine Learning; The Case of Aviation Incidents

Machine learning becomes truly valuable only when decision-makers begin to depend on it to optimize decisions. Instilling trust in machine learning is critical for businesses in their efforts to interpret and get insights into data, and to make their analytical choices accessible and subject to accountability. In the field of aviation, the innovative application of machine learning and analytics can facilitate an understanding of the risk of accidents and other incidents. These occur infrequently, generally in an irregular, unpredictable manner, and cause significant disruptions, and hence, they are classified as high-impact, low-probability (HILP) events. Aviation incident reports are inspected by experts, but it is also important to have a comprehensive overview of incidents and their holistic effects. This study provides an interpretable machine-learning framework for predicting aircraft damage. In addition, it describes patterns of flight specifications detected through the use of a simulation tool and illuminates the underlying reasons for specific aviation accidents. As a result, we can predict the aircraft damage with 85% accuracy and 84% in-class accuracy. Most important, we simulate a combination of possible flight-type, aircraft-type, and pilot-expertise combinations to arrive at insights, and we recommend actions that can be taken by aviation stakeholders, such as airport managers, airlines, flight training companies, and aviation policy makers. In short, we combine predictive results with simulations to interpret findings and prescribe actions

From Enrollment to Employment: A DACUM Approach to Information Systems and Information Security and Assurance Curriculum Design

Issues associated with information security are numerous and diverse. Since the majority of organizational actions rely greatly on information and communication technologies, Information Systems (IS) security is now a main concern for firms, governments, institutes, and society as a whole. As a result, a plethora of graduate programs have been created, covering nearly every aspect of IS security. The authors review the current state of the IS industry presented in the literature, and identify a panel of IS experts in which to explore current job skill needs using a “Developing a Curriculum,” DACUM, process to support curriculum design for two graduate degrees in IS and Information Security and Assurance (ISA) through the eyes of a university that has a unique relationship with Microsoft and an active Industry Advisory Board (IAB)

From Enrollment to Employment: A DACUM Approach to Information Systems and Information Security and Assurance Curriculum Design

Issues associated with information security are numerous and diverse. Since the majority of organizational actions rely greatly on information and communication technologies, Information Systems (IS) security is now a main concern for firms, governments, institutes, and society as a whole. As a result, a plethora of graduate programs have been created, covering nearly every aspect of IS security. The authors review the current state of the IS industry presented in the literature, and identify a panel of IS experts in which to explore current job skill needs using a “Developing a Curriculum,” DACUM, process to support curriculum design for two graduate degrees in IS and Information Security and Assurance (ISA) through the eyes of a university that has a unique relationship with Microsoft and an active Industry Advisory Board (IAB)

Evidence-Based Managerial Decision-Making With Machine Learning: The Case of Bayesian Inference in Aviation Incidents

Understanding the factors behind aviation incidents is essential, not only because of the lethality of the accidents but also the incidents’ direct and indirect economic impact. Even minor incidents trigger significant economic damage and create disruptions to aviation operations. It is crucial to investigate these incidents to understand the underlying reasons and hence, reduce the risk associated with physical and financial safety in a precarious industry like aviation. The findings may provide decision-makers with a causally accurate means of investigating the topic while untangling the difficulties concerning the statistical associations and causal effects. This research aims to identify the significant variables and their probabilistic dependencies/relationships determining the degree of aircraft damage. The value and the contribution of this study include (1) developing a fully automatic ML prediction based DSS for aircraft damage severity, (2) conducting a deep network analysis of affinity between predicting variables using probabilistic graphical modeling (PGM), and (3) implementing a user-friendly dashboard to interpret the business insight coming from the design and development of the Bayesian Belief Network (BBN). By leveraging a large, real-world dataset, the proposed methodology captures the probability-based interrelations among air terminal, flight, flight crew, and air-vehicle-related characteristics as explanatory variables, thereby revealing the underlying, complex interactions in accident severity. This research contributes significantly to the current body of knowledge by defining and proving a methodology for automatically categorizing aircraft damage severity based on flight, aircraft, and PIC (pilot in command) information. Moreover, the study combines the findings of the Bayesian Belief Networks with decades of aviation expertise of the subject matter expert, drawing and explaining the association map to find the root causes of the problems and accident relayed variables

Cyber Insurance Effects on Cyber Hygiene: Does the Homeostatic Effect Apply?

A theoretical framework and research strategy is proposed to gain insight into perceptions and decisions as to how SMBs make decisions regarding cybersecurity hygiene measures, which could lead to betterinformed decisions regarding insurance as part of an ISA program, as well as have a bearing on policy structures and pricing for such insurance. This is because the definition of “cybersecurity hygiene habits”(CHH) as a task appears to vary within the industry and makes the practice hard to measure and evaluate. Research suggests that there may be a poorly understood connection between CHHs undertaken by organizations and their perceptions and/or adoption of cybersecurity insurance as well, thus leading to gaps or holes within business security perimeters. Homeostatic Risk Theory (HRT) has been observed in other venues in which the use of risk mitigation measures (including insurance) leads to more risky behavior; this may have a bearing on why so many organizations, particularly Small and Medium Businesses (SMBs) are very slow to adopt Information Security Assurance (ISA) measures at all or do so minimally. This paper presents a theoretical framework and proposed research, which will provide greater clarity on these issues while highlighting areas where further research is required

Do Our Airmen Value Their CCAF Degree?

A recent article, “CCAF Continues to Provide Value to Air Force, Enlisted Members,” posted in the Community College of the Air Force (CCAF) alumni group on LinkedIn generated over 100 comments from CCAF graduates regarding the value of that college’s degree.1 Their perceptions of the worth of the CCAF degree ranged from no value at all to its having a tremendous impact on careers and goals.2The foregoing served as the catalyst for this two-phased research. Only by comparing both sides of the problem will we have truly answered the question regarding the value of the degree. Phase one consisted of the current research project, focused on the collection and analysis of CCAF graduates’ perceptions regarding the value of their degree. Phase two will involve the collection of data collected from hiring managers from various fields of industry regarding their perception of the CCAF degree and their estimation of it during a review of an applicant’s credentials