Technology and Innovation Commons^™

Finding The Invisible At-Risk Player - Using Technology To Help Identify Customers Spending Beyond Affordable Limits, Tony Schellinck Dr.

International Conference on Gambling & Risk Taking

Abstract:

This session will highlight the value of a new EGM Affordability Model specifically adapted for changes in play due to COVID-19. Affordability of play has become a critical regulatory priority that is gaining greater traction worldwide as a gaming provider responsibility. The research presented here can inform a more sophisticated approach that is easy to operationalize, does not require a burden of proof on operators, and simultaneously yields greater results in identifying players spending beyond their abilities. The authors conducted research from 2014-2020, interviewing 10,500 regular electronic machine gamblers in land-based casinos in three countries administering the PGSI and …

Exploring The Effects Of Gamblification On Esports Betting, Cecilia Diaz Dr, Violet Justine Mtonga Dr

International Conference on Gambling & Risk Taking

Abstract:

There is a growing trend of gambling/betting organisations attempting to secure a position in the fast-growing and profitable sector of Esports by becoming an inherent part of the sports culture and its community of fans. This alignment is raising concerns due to the community lifestyle and consumption of experience intrinsic in sports/Esports (Gordon, Gurrieri, & Chapman, 2015).

Diffusion of gambling in society is triggered by digital/technological disruption on gambling and changing consumer behaviour and cultural trends. This environment offers innovative opportunities to experience gambling and “gambling-like” experiences online (King et al., 2010) with the extra incentive of ease of …

Rg Smart Gambling Machines: A Prevention Model To Respond To Risky Play In Real Time, Tracy Schrans

International Conference on Gambling & Risk Taking

Abstract:

In collaboration with industry, public health, and regulators, Focal Research developed an effective modelling process using player data and technology to identify and assist customers at-risk of having problems with their gambling. The system was originally designed using account-based player data to accurately assess play patterns. Complex algorithms scan the player data stored in an operator’s member data system, alerting operators to play behaviours typically observed among those scoring 8 or higher on the Problem Gambling Severity Index. During a live trial, the system was found to help staff interact with at-risk customers leading to measurable improvement in outcomes …

The Role Of Blockchain Technology In The Transition Toward The Circular Economy: Findings From A Systematic Literature Review, Abderahman Rejeb, Andrea Appolloni, Karim Rejeb, Horst Treiblmaier, Mohammad Iranmanesh, John G. Keogh

Research outputs 2022 to 2026

The circular economy (CE) has emerged as a paradigm to protect the environment and the well-being of future generations. In parallel, Blockchain technology (BC) has emerged as a critical enabler for accelerating the transition toward a CE. In order to understand and summarize prior research on the role of BC in the CE, we conducted a systematic literature review (SLR) of 70 seminal articles published before July 2022. Six main themes emerged: a) CE approaches and practices, b) BC and the integration of the Internet of Things (IoT), c) sustainable supply chain management, d) BC and the CE in the …

Consumers' Perceptions Of Digital Privacy In The United States And Japan, Destiny Randle

Whittier Scholars Program

The purpose of my study is to explore the contours of contemporary consumer privacy protections derived from legislation, regulations and publicly available company policies as a way to get a better understanding of how consumer data is protected. A few examples ranging from company-based consumer protection in the United States to data breaches in Japan will be explored and examined. Finally, this paper includes a comparative survey of consumer perceptions and concerns related to personal data privacy in the U.S. and Japan. As a way to assess the degree to which digital privacy and personal data breaches have adversely influenced …

High-Risk Wildlife Strike Regions: An In-Depth Visual Representation Of Wildlife Strikes At And Around Part 139 Airports In Florida., Luke P. Ochs, Flavio A. C. Mendonca Ph.D.

Beyond: Undergraduate Research Journal

Wildlife strikes with aircraft have been and continue to be a problem in the aviation industry costing millions of dollars in both damage and delays. This study used the geoprocessing information system ArcGIS to depict wildlife strikes at Florida’s 26 Part 139 Airports from 2012 to 2021. Importing reports from the National Wildlife Strike Database into ArcGIS, this study used symbology and geoprocessing tools to create a color/ size gradient that depicts the risk (number of damaging strikes out of known strikes) at each airport. Using an interactive map with ArcGIS Online viewers can observe then select each airports vector …

Artificial Intelligent Enabled Supply Chains As A Competitive Advantage, Nathan Adato

Senior Honors Theses

The focus of this paper is on the topics of artificial intelligence and supply chain management and how artificial intelligence-enabled supply chains provide organizations with competitive advantages. The supply chain’s adoption of data collection technologies as part of digital transformation and movements of industry 4.0 creates a strong foundation for artificial intelligence analytics. Artificial intelligence has three branches sensing and interacting, decision-making, and learning. Each branch uses its algorithms and serves a different purpose for the business. Artificial intelligence-enabled supply chains create unique, inimitable competitive advantages that fit Michael Porter’s five forces.

Sustainable Small House Project, Mollie Jo George

UNO Student Research and Creative Activity Fair

The Sustainable Small House Project was developed in cooperation with UNO/UNL Engineering, UNO Gerontology, and Metro Community College. This project merges both sustainable living with the small house movement to promote aging-in-place for older adults. This presentation describes the journey of Dr. Bing Chen as he envisioned the Sustainable Small House Project to its development and finally to implementation at its current location--west of Baxter Arena or adjacent to the UNO ballfield.

From a gerontological lens, the project focuses on principles of universal design which allows for aging-in-place, fall-detection and prevention using smart technologies such as Nobi, and voice-activated technologies …

Fraud Pattern Detection For Nft Markets, Andrew Leppla, Jorge Olmos, Jaideep Lamba

SMU Data Science Review

Non-Fungible Tokens (NFTs) enable ownership and transfer of digital assets using blockchain technology. As a relatively new financial asset class, NFTs lack robust oversight and regulations. These conditions create an environment that is susceptible to fraudulent activity and market manipulation schemes. This study examines the buyer-seller network transactional data from some of the most popular NFT marketplaces (e.g., AtomicHub, OpenSea) to identify and predict fraudulent activity. To accomplish this goal multiple features such as price, volume, and network metrics were extracted from NFT transactional data. These were fed into a Multiple-Scale Convolutional Neural Network that predicts suspected fraudulent activity based …

Self-Learning Algorithms For Intrusion Detection And Prevention Systems (Idps), Juan E. Nunez, Roger W. Tchegui Donfack, Rohit Rohit, Hayley Horn

SMU Data Science Review

Today, there is an increased risk to data privacy and information security due to cyberattacks that compromise data reliability and accessibility. New machine learning models are needed to detect and prevent these cyberattacks. One application of these models is cybersecurity threat detection and prevention systems that can create a baseline of a network's traffic patterns to detect anomalies without needing pre-labeled data; thus, enabling the identification of abnormal network events as threats. This research explored algorithms that can help automate anomaly detection on an enterprise network using Canadian Institute for Cybersecurity data. This study demonstrates that Neural Networks with Bayesian …

Analysis Of First-Time Completion In The Field Service Environment, Gavin Rick, Scott Englerth, Marc Carter, Hayley Horn

SMU Data Science Review

First-time completion is an important measure of service quality and efficiency in the field service industry. Customers call upon field service providers to repair their equipment in a timely manner so it can be put back into service for their business demands. Responsiveness can be measured through first-time completion and is defined as completing the repair on the first visit of a service call. This research is exploring the first-time completion in the forklift service industry. This research found the primary factors that impact first-time completion percentage in this industry include parts on hand, parts backorder process, technician experience, and …

From Strategic Emerging Industries To Future Industries: New Directions, New Problems And New Ideas, Jiaofeng Pan, Xiaoming Wang, Junbo Xue, Hua Shen

Bulletin of Chinese Academy of Sciences (Chinese Version)

The development from strategic emerging industries to future industries reflects the development trend of global science and technology frontier, and it is more a new need to build a new engine for industrial upgrading and build a new development pattern in China. In the process of gradual development and breeding of future industries, strategic emerging industries continue to open up new directions and expand new fields, while they also bring new problems and new requirements for original innovation, factor market and industrial ecology. Focusing on these new requirements and problems, this study puts forward policy recommendations, namely enhancing the original …

Open Textbook For Art 27, Nate Cooper

Open Educational Resources

Work in Progress - In the Spring of 2023, I will endeavor to work collaboratively with students to develop an open textbook for the Art 26: UX Visual Design course. As this class has only been offered once in the past and in general the UX courses are new at Kingsborough there isn't an obvious single authority on the subject. As a practitioner in the field professionally, I grow concerned that even if a solid text could be found in print that industry changes happen so frequently that the only helpful authority will need to be a dynamic work. Hence, …

Industry 4.0 Applications Towards Sustainability In Hospitality: First Waves In The Guest Room, Sanjay Nadkarni, Florian Kriechbaumer, Natasa Christodoulidou, Marcus A. Rothenberger

Journal of Global Business Insights

Digitalization is positioned as an important element for the future of hospitality related services, especially since the onset of the COVID-19 pandemic (Gursoy & Chi, 2020; Shin & Kang, 2020). Historically, digitalization focused on amplifying returns by increasing revenue and operational efficiency. The hospitality industry utilizes resources intensely to function well; and when used properly, technological improvements can optimize the development of a sustainable business model. This manuscript explores the role of recent innovations in digitalization, such as Big Data, the Internet of Things (IoT), and artificial intelligence (AI) in enabling environmental sustainability in hotels. These innovations become transparent …

Attention-Based Data Analytic Models For Traffic Flow Predictions, Kaushal Kumar, Yupeng Wei

Mineta Transportation Institute Publications

Traffic congestion causes Americans to lose millions of hours and dollars each year. In fact, 1.9 billion gallons of fuel are wasted each year due to traffic congestion, and each hour stuck in traffic costs about $21 in wasted time and fuel. The traffic congestion can be caused by various factors, such as bottlenecks, traffic incidents, bad weather, work zones, poor traffic signal timing, and special events. One key step to addressing traffic congestion and identifying its root cause is an accurate prediction of traffic flow. Accurate traffic flow prediction is also important for the successful deployment of smart transportation …

Summary Of And Comments On Strengthening Skills: Expert Review Of Australia's Vocational Education And Training System, Steven Joyce

International Journal for Business Education

The following extracts have been compiled in this order to give a feeling for the total report (168 pages). The order of what follows is quite different from Joyce. It has been summarised this way for the benefit of readers who are not involved in the VET sector on a day-to-day basis. Most of the data are from 2017-2018. The summary is by Tony Shannon; it has no official status. To give perspective to this important report, the summary and comments are in three parts, namely,

• A general view of Australian Vocational Education & Training
• Recommendations – road map
• Some …

Report Of The Independent Review Of Freedom Of Speech In Australian Higher Education Providers, Tony Shannon

International Journal for Business Education

This summary does not claim to be preferred in any way to a reading of the complete report with its succinct and simple recommendations, including “A Model Code for the Protection of Freedom of Speech and Academic Freedom in Australian Higher Education Providers”. The review is an important document for all institutions dedicated to teaching, particularly at the tertiary level, in having a shared understanding of freedom of speech within an institution.

The Review involved a two-stage consultation process with universities and other stakeholders between November 2018 and March 2019, and it also considered recent pertinent debates in Canada, New …

Lumina Review Of Learning Frameworks: Tools For Building A Better Educational Experience, Tony Shannon

International Journal for Business Education

A reason for summarising this document (Travers et al, 2019) is that the Lumina Foundation in the USA is one of the few educational think-tanks which seems to be aware of the effects on the workplace from the exponentially accelerating growth in soft-computing, especially artificial intelligence, which will be seen in the next fifteen years (cf. Jankowski and Marshall. 2017).

Boyer Model Of Scholarship In Practice, Tony Shannon

International Journal for Business Education

The four types of scholarship in the Boyer framework are relevant to teaching or training at any level of post-secondary education, both directly in terms of knowledge and indirectly through the impact of enthusiasm [2,9]. This outline is a simplified introduction to the salient features of the system, with some general examples of what each type could mean in practice. The boundaries of the types are fluid and can overlap in theory and in practice [4,6].

Is Anything Left Of The Debate About The Sources Of Growth In East Asia Thirty Years Later?, Jesus Felipe, John Mccombie

Angelo King Institute for Economic and Business Studies

The year 2023 commemorates the 30th anniversary of the publication of the influential, yet controversial, study The East Asian Miracle report by the World Bank (1993). An important part of the report’s analysis was concerned with the sources of growth in East Asia. This was based on the neoclassical decomposition of growth into productivity and factor accumulation. At about the same time, the publication of Alwyn Young’s (1992, 1995) and J-I Kim and Lawrence Lau’s (1994) studies, and Paul Krugman’s (1994) popularization of the “zero total factor productivity growth” thesis, led to a very important debate within the profession, on …