Distilling Managerial Insights And Lessons From Ai Projects At Singapore's Changi Airport (Part 2), Steve Lee, Steven M. Miller

Asian Management Insights

Since 2017, Changi Airport group (CAG) has initiated a host of pilot projects that use connective and intelligent technologies to enable its move towards digital transformation and SMART Airport Vision. This has resulted in a first wave of deployment of AI and Machine Learning-enabled applications across various functions that can better sense, analyse, predict, and interact with people.

Ai Gets Real At Singapore's Changi Airport (Part 1), Steve Lee, Steven M. Miller

Asian Management Insights

Ranked as the best airport for seven consecutive years, Singapore’s Changi Airport is lauded the world over for the efficient, safe, pleasurable and seamless service it offers the millions of passengers that pass through its facilities annually. Much of Changi Airport’s success can be attributed to the organisation’s customer-oriented business focus and deeply embedded culture of service excellence, combined with a host of advanced technologies operating invisibly in the background. The framework for this technology enablement is Changi Airport Group’s (CAG’s) SMART Airport Vision—an enterprise-wide approach to connective technologies that leverages sensors, data fusion, data analytics, and artificial intelligence (AI), …

Organizing For Artificial Intelligence (Ai) Technologies, Sukti Ghosh

Research Collection Lee Kong Chian School Of Business

This study focuses on organisation design choices as tools for addressing the management challenges of commercialising AI technologies for competitive advantage. It explores how design choices address fundamental problems of organising in such context, illustrating notable design features observed. Additionally, it examines external alignment and internal coherence reiterating interdependencies in organisation’s design choices, when adapting to exogenous changes due to emerging AI technologies.

Picking Flowers In An Ico Garden, Fam Guo Teng, Paul R. Griffin, Andrew Koh

Research Collection School Of Computing and Information Systems

The rise of Initial Coin Offerings (ICO) in recent times and their potential for investment opportunities have investors spending a lot of time researching ICOs or having to follow the crowd. This paper aims to explore four broad factors of ICOs: identity, credibility, investor sentiment, and price movement to develop a framework that is useful in determining ICO quality. Research is shown using data sources including public forums, chat groups, web sites, white papers as well as smart contract details. Finally, a system, based on the framework, is proposed that can be used to detect and regulate ICO activities and …

Gamification Of Enterprise Systems, Fiona Fui-Hoon Nah, Brenda Eschenbrenner, Craig C. Claybaugh, Perry B. Koob

Business and Information Technology Faculty Research & Creative Works

Enterprise systems have become an integral part of an organization's operations. However, they also pose many challenges to organizations from the perspective of implementation, user training, as well as use and acceptance. Without effective usage, enterprise systems may not be able to provide the strategic or competitive advantages that organizations desire. Therefore, organizations may consider gamification to enhance training, acceptance, and usage. We discuss the various ways in which enterprise system challenges can be addressed through the lens of gamification and present a framework for gamification of enterprise systems. The framework is comprised of basic principles and key design elements …

Improving Vix Futures Forecasts Using Machine Learning Methods, James Hosker, Slobodan Djurdjevic, Hieu Nguyen, Robert Slater

SMU Data Science Review

The problem of forecasting market volatility is a difficult task for most fund managers. Volatility forecasts are used for risk management, alpha (risk) trading, and the reduction of trading friction. Improving the forecasts of future market volatility assists fund managers in adding or reducing risk in their portfolios as well as in increasing hedges to protect their portfolios in anticipation of a market sell-off event. Our analysis compares three existing financial models that forecast future market volatility using the Chicago Board Options Exchange Volatility Index (VIX) to six machine/deep learning supervised regression methods. This analysis determines which models provide best …

Automated Trading Systems Statistical And Machine Learning Methods And Hardware Implementation: A Survey, Boming Huang, Yuziang Huan, Li Da Xu, Lirong Zheng, Zhuo Zou

Information Technology & Decision Sciences Faculty Publications

Automated trading, which is also known as algorithmic trading, is a method of using a predesigned computer program to submit a large number of trading orders to an exchange. It is substantially a real-time decision-making system which is under the scope of Enterprise Information System (EIS). With the rapid development of telecommunication and computer technology, the mechanisms underlying automated trading systems have become increasingly diversified. Considerable effort has been exerted by both academia and trading firms towards mining potential factors that may generate significantly higher profits. In this paper, we review studies on trading systems built using various methods and …

Experimental Investigation On The Effects Of Website Aesthetics On User Performance In Different Virtual Tasks, Meinald T. Thielsch, Russell Haines, Leonie Flacke

Information Technology & Decision Sciences Faculty Publications

In Human-Computer Interaction research, the positive effect of aesthetics on users' subjective impressions and reactions is well-accepted. However, results regarding the influence of interface aesthetics on a user's individual performance as an objective outcome are very mixed, yet of urgent interest due to the proceeding of digitalization. In this web-based experiment (N = 331), the effect of interface aesthetics on individual performance considering three different types of tasks (search, creative, and transfer tasks) is investigated. The tasks were presented on an either aesthetic or unaesthetic website, which differed significantly in subjective aesthetics. Goal orientation (learning versus performance goals) was included …

From The Editors, Herbert J. Mattord, Michael E. Whitman

Journal of Cybersecurity Education, Research and Practice

A message from the editors.

Investigating The Impact Of Publicly Announced Information Security Breaches On Corporate Risk Factor Disclosure Tendencies, Sandra J. Cereola, Joanna Dynowska

Journal of Cybersecurity Education, Research and Practice

As the reported number of data breaches increase and senators push for more disclosure regulation, the SEC staff issued a guidance in 2011 on disclosure obligations relating to cybersecurity risks and incidents. More recently, on February 26, 2018 the SEC Commission issued interpretive guidance to help assist public companies prepare disclosures regarding cybersecurity risks and incidents. As reported incidents of cybersecurity breaches occur, investors are concerned about the risks associated with these incidents and the impact they may have on financial performance. Although the SEC staff guidance warns public companies to make timely disclosure, recognizing the threat that cybercrime poses …

Sit Back, Relax, And Tell Me All Your Secrets, Sarah Kirk, Daniel Foreman, Cody Lee, Shannon W. Beasley

Journal of Cybersecurity Education, Research and Practice

The goal of this research is to describe an active learning opportunity that was conducted as a community service offering through our Center for Cybersecurity Education and Applied Research (CCEAR). As a secondary goal, the participants sought to gain real world experience by applying techniques and concepts studied in security classes. A local insurance company tasked the CCEAR with assembling a team of students to conduct penetration testing (including social engineering exploits) against company personnel. The endeavor allowed the insurance company to obtain information that would assess the effectiveness of employee training with regard to preventing the divulgence of sensitive …

A Blockchain-Enabled Peer-To-Peer Energy Trading Platform For Managing Complex Exchange Of Kilowatt-Hours And Negawatts, Murat Kuzlu, Rasheq Rahman, Jason Lin

Engineering Technology Faculty Publications

Under the Department of Energy’s STTR funding, BEM Controls LLC performed research from July 2, 2018 to April 1, 2019. The purpose of this research was to design, develop and demonstrate the technical feasibility of the blockchain enabled energy trading platform for managing complex exchange of kilowatt hours and negawatts. The energy trading platform was developed in the open-source HyperLedger Fabric blockchain framework and the performance of the blockchain network was evaluated. Key research findings and results include (1) the successful design and development of an open-architecture blockchain-based energy trading platform able to execute smart contract transactions across eight use …

Agent-Based Modeling And Simulation Approaches In Stem Education Research, Shanna R. Simpson-Singleton, Xiangdong Che

Journal of International Technology and Information Management

The development of best practices that deliver quality STEM education to all students, while minimizing achievement gaps, have been solicited by several national agencies. ABMS is a feasible approach to provide insight into global behavior based upon the interactions amongst agents and environments. In this review, we systematically surveyed several modeling and simulation approaches and discussed their applications to the evaluation of relevant theories in STEM education. It was found that ABMS is optimal to simulate STEM education hypotheses, as ABMS will sensibly present emergent theories and causation in STEM education phenomena if the model is properly validated and calibrated.

Impact Of Framing And Base Size Of Computer Security Risk Information On User Behavior, Xinhui Zhan

Masters Theses

"This research examines the impact of framing and base size of computer security risk information on users' risk perceptions and behavior (i.e., download intention and download decision). It also examines individual differences (i.e., demographic factors, computer security awareness, Internet structural assurance, self-efficacy, and general risk-taking tendencies) associated with users' computer security risk perceptions. This research draws on Prospect Theory, which is a theory in behavioral economics that addresses risky decision-making, to generate hypotheses related to users' decision-making in the computer security context. A 2 x 3 mixed factorial experimental design (N = 178) was conducted to assess the effect of …

Predictive Modeling Of Webpage Aesthetics, Ang Chen

Masters Theses

"Aesthetics plays a key role in web design. However, most websites have been developed based on designers' inspirations or preferences. While perceptions of aesthetics are intuitive abilities of humankind, the underlying principles for assessing aesthetics are not well understood. In recent years, machine learning methods have shown promising results in image aesthetic assessment. In this research, we used machine learning methods to study and explore the underlying principles of webpage aesthetics"--Abstract, page iii.

The Changing Moral Mirror Of Society: From Human To Artifical Intelligent Systems, Gary Langford, Teresa Langford

Engineering and Technology Management Faculty Publications and Presentations

Management of technology and its development carry along the responsibility and consequences for interactions between Human and Artificial Intelligent Systems (AIS). In spite of all good intentions, the effects and repercussions of conflicts between Human and the systems built with intent to assist Human may be proceeding along the path that will recognize a dismal mistake in judgment. Dreadful and intolerable impositions on Human behavior may arise regardless of how AIS is designed. That is not to say progress should cease, but rather to make the case that intensely determined efforts need to delve into the uses and implications of …

Domain Process Model Overcome Limitations Of Engineering Models For Developing Artificial Intelligent Systems, Gary O. Langford, John Green, Daniel P. Burns, Alexander Keller, Dean C. Schmidt

Engineering and Technology Management Faculty Publications and Presentations

The integrated set of prognostic domains (ISPD) of technology presented here provides a normative means to construct a wholly new process model for guiding Technology Management of Artificial Intelligent Systems (AIS). Seventeen domains represent all-inclusive stakeholder perspectives that encapsulate lifecycle analyses, evaluations, feasibilities, and tradeoffs with the domain contexts. Following Systems Model-Based thinking (SMBT), a postulated focal point interaction is the entry condition from which each domain is considered and thereafter traversed. Domains are interactive with each other through concurrent, iterative, recursive, and non-recursive processes. This interactive work continues until the completion milestones of each domain are satisfied. Techniques such …

From The Editors, Carole L. Hollingsworth, Michael E. Whitman, Herbert J. Mattord

Journal of Cybersecurity Education, Research and Practice

Welcome to the Fall 2018 issue of the Journal of Cybersecurity Education, Research, and Practice (JCERP). On behalf of the editorial team, we thank you for taking the time to read this issue and strongly encourage you to submit an article for consideration in an upcoming edition.

Using A Game To Improve Phishing Awareness, Patrickson Weanquoi, Jaris Johnson, Jinghua Zhang

Journal of Cybersecurity Education, Research and Practice

Cybersecurity education has become increasingly critical as we spend more of our everyday lives online. Research shows that college students are mostly unaware of the many online dangers. To teach students about cybersecurity using their preferred medium, gaming, we developed an educational 2D game called “Bird’s Life” that aims to teach college students, as well as general interest individuals, about phishing. Players will come to understand phishing attacks and how to avoid them in real-world scenarios through a fun gaming context. The game can be deployed to multiple platforms such as PC, web, and mobile devices. To measure the effect …

An Examination Of Cybersecurity Knowledge Transfer: Teaching, Research, And Website Security At U.S. Colleges And Universities, Aditya Gupta, James R. Wolf

Journal of Cybersecurity Education, Research and Practice

This work seeks to answer the question: Does faculty cybersecurity knowledge gained from teaching and research transfer to other IT units in the university? Specifically, do colleges and universities that excel in cybersecurity teaching and research have more secure websites? This work explores a unique setting where the knowledge of the source and recipient are both directly related and observable without outside intervention. Our study employed data from 591 U.S. colleges and universities, the National Centers of Academic Excellence (CAE) program, accepted paper data from the ACM Conference on Computer and Communications Security (CCS) and the IEEE Symposium on Security …

The Rise Of Real-Time Retail Payments, Zhiling Guo

MITB Thought Leadership Series

TRANSACTING for just about anything using our mobile phones has become commonplace, and so many consumers will be intrigued to discover that after making a purchase it can still take longer for payment to reach a vendor’s bank account than it does for the purchased goods to be delivered.

Leveraging Artificial Intelligence To Capture The Singapore Rideshare Market, Pradeep Varakantham

MITB Thought Leadership Series

BIKE-SHARING programmes face many of the issues encountered by their counterparts in the carsharing world. But in Singapore, there are a number of factors that have a unique impact on the industry. These include the regulatory structure and the significant fines for those companies who do not abide by these regulations. When this is combined with the competitive nature of the industry in one of the world's most dynamic cities, it becomes clear that first movers who leverage machine learning and prediction will come to dominate the industry

Cost Benefit Analysis Of Led Vs Florescent Lighting, Kurtis Clark, Phillip Humphrey

Student Research

Over the last few years, the state of Oklahoma has been looking at ways to reduce expenses to address concerns about a budget deficit. There have been efforts made to reduce expenses due to the use of energy. It has been said, when the lights are on, work is getting done. Running lights is therefore the cost of doing business. Our research examines the question, “is there a way to provide better lighting while operating at a lower cost.” This research examines the current lighting at Southwestern State University, primarily fluorescent lighting (FL), and a cost benefit analysis of switching …

Mapping Knowledge Units Using A Learning Management System (Lms) Course Framework, Casey Rackley

KSU Proceedings on Cybersecurity Education, Research and Practice

ABSTRACT

The purpose of this paper is to examine the outcomes of using a Learning Management System (LMS) course as a framework for mapping the Centers of Academic Excellence in Cyber Defense (CAE-CD) 2019 Knowledge Units (KU) to college courses. The experience shared herein will be useful to faculty who are interested in performing the mapping and applying for CAE-CDE designation.

Hijacking Wireless Communications Using Wifi Pineapple Nano As A Rogue Access Point, Shawn J. Witemyre, Tamirat T. Abegaz, Bryson R. Payne, Ash Mady

KSU Proceedings on Cybersecurity Education, Research and Practice

Wireless access points are an effective solution for building scalable, flexible, mobile networks. The problem with these access points is often the lack of security. Users regularly connect to wireless access points without thinking about whether they are genuine or malicious. Moreover, users are not aware of the types of attacks that can come from “rogue” access points set up by attackers and what information can be captured by them. Attackers use this advantage to gain access to users’ confidential information. The objective of this study is to examine the effectiveness of the WiFi Pineapple NANO used as a rogue …

Towards A Development Of Predictive Models For Healthcare Hipaa Security Rule Violation Fines, Jim Furstenberg, Yair Levy

KSU Proceedings on Cybersecurity Education, Research and Practice

The Health Insurance Portability and Accountability Act’s (HIPAA) Security Rule (SR) mandate provides a national standard for the protection of electronic protected health information (ePHI). The SR’s standards provide healthcare covered entities (CEs’) flexibility in how to meet the standards because the SR regulators realized that all health care organizations are not the same. However, the SR requires CEs’ to implement reasonable and appropriate safeguards, as well as security controls that protect the confidentiality, integrity, and availability (CIA) of their ePHI data. However, compliance with the HIPAA SR mandates are confusing, complicated, and can be costly to CEs’. Flexibility in …

Using Project Management Knowledge And Practice To Address Digital Forensic Investigation Challenges, Steven S. Presley, Jeffrey P. Landry, Michael Black

KSU Proceedings on Cybersecurity Education, Research and Practice

The management of digital forensics investigations represents a unique challenge. The field is relatively new, and combines the technical challenges of Information Systems with the legal challenges of forensics investigations. The challenges for the Digital Forensics Investigators and the organizations they support are many. This research effort examines the characteristics and challenges of Digital Forensics Investigations and compares them with the features and knowledge areas of project management. The goal was to determine if project management knowledge, as defined in a common body of knowledge, would be helpful in addressing digital forensics investigation challenges identified in the literature. The results …

Capturing The Existential Cyber Security Threats From The Sub-Saharan Africa Zone Through Literature Database, Samuel B. Olatunbosun, Nathanial J. Edwards, Cytyra D. Martineau

KSU Proceedings on Cybersecurity Education, Research and Practice

Abstract - The Internet brought about the phenomenon known as Cyber-space which is boundless in nature. It is one of the fastest-growing areas of technical infrastructure development over the past decade. Its growth has afforded everyone the opportunity to carry out one or more transactions for personal benefits. The African continent; often branded as ‘backward’ by the Western press has been able to make substantial inroads into the works of Information and Computer Technology (ICT). This rapid transition by Africans into ICT power has thus opened up the opportunities for Cybercriminal perpetrators to seek and target victims worldwide including America …

Cybersecurity Education Employing Experiential Learning, Travis Lowe, Casey Rackley

KSU Proceedings on Cybersecurity Education, Research and Practice

ABSTRACT

The purpose of this paper is to discuss a curriculum design that employs Kolb’s Experiential Learning Theory stages and Kolb’s Learning Styles in four consecutive class sessions. The challenge each class is to present students with perplexing and often frustrating network problems that someday might be encountered on the job. By using Kolb’s theory, students address those problems from the perspective of each learning style, while passing through each phase of the learning cycle. As a result, students gain stronger cognitive thinking skills and hands-on troubleshooting skills in preparation for work as network administrators or cybersecurity analysts.

Information Privacy Concerns In The Age Of Internet Of Things, Madhav Sharma, David Biros

KSU Proceedings on Cybersecurity Education, Research and Practice

Internet of things (IoT) offer new opportunities for advancement in many domains including healthcare, home automation, manufacturing and transportation. In recent years, the number of IoT devices have exponentially risen and this meteoric rise is poised to continue according to the industry. Advances in the IoT integrated with ambient intelligence are intended to make our lives easier. Yet for all these advancements, IoT also has a dark side. Privacy and security were already priorities when personal computers, devices and work stations were the only point of vulnerability to personal information, however, with the ubiquitous nature of smart technologies has increased …