Business Commons^™

Improving Data-Driven Infrastructure Degradation Forecast Skill With Stepwise Asset Condition Prediction Models, Kurt R. Lamm, Justin D. Delorit, Michael N. Grussing, Steven J. Schuldt

Faculty Publications

Organizations with large facility and infrastructure portfolios have used asset management databases for over ten years to collect and standardize asset condition data. Decision makers use these data to predict asset degradation and expected service life, enabling prioritized maintenance, repair, and renovation actions that reduce asset life-cycle costs and achieve organizational objectives. However, these asset condition forecasts are calculated using standardized, self-correcting distribution models that rely on poorly-fit, continuous functions. This research presents four stepwise asset condition forecast models that utilize historical asset inspection data to improve prediction accuracy: (1) Slope, (2) Weighted Slope, (3) Condition-Intelligent Weighted Slope, and (4) …

Green Intellectual Capital And Green Supply Chain Performance: Does Big Data Analytics Capabilities Matter?, Ayman Wael Al-Khatib, Ahmed Shuhaiber

All Works

In light of global environmental concerns growing, environmental awareness within firms has become more important than before, and many scholars and researchers have argued the importance of environmental management in promoting sustainable organizational performance, especially in the context of supply chains. Thus, the current study aimed at identifying the impact of the components of green intellectual capital (green human capital, green structural capital, green relational capital) on green supply chain performance in the manufacturing sector in Jordan, as well as identifying the moderating role of big data analytics capabilities. To achieve this aim, we developed a conceptual model of Structural …

Renewable Energy Legislation In Nevada: 2017 - 2021, Peter Grema, Zachary Walusek, Caitlin J. Saladino, William E. Brown Jr.

Environment

The purpose of this fact sheet is to summarize legislative actions from the biennial 79th, 80th, and 81st Nevada Legislative Sessions (2017, 2019, and 2021) regarding solar energy production and state efforts to reach 50 percent energy production from renewable sources by 2030. By 2050, Nevada has a statutorily mandated obligation to be a net-zero carbon producer in fulfilling energy production needs from large scale utility services.

The Distinction Of Logical Decision According To The Model Of The Analysis Of Brain Signals (Eeg), Akeel Abdulkareem Al-Sakaa, Zaid H. Nasralla, Mohsin Hasan Hussein, Saif A. Abd, Hazim Alsaqaa, Kesra Nermend, Anna Borawska

Karbala International Journal of Modern Science

Recently, brain signal patterns have been recruited by researchers in different life activities. Researchers have studied each life activity and how brain signal patterns appear. These patterns could then be generalised and used in different disciplines. In this paper, we study the brain state during decision making in a lottery experiment. An EEG device is used to capture brain signals during an experiment to extract the optimal state for logical decision making. After collecting data, extracting useful information and then processing it, the proposed method is able to identify rational decisions from irrational ones with a success rate of 67%.

Smart Manufacturing—Theories, Methods, And Applications, Zhuming Bi, Lida Xu, Puren Ouyang

Information Technology & Decision Sciences Faculty Publications

(First paragraph) Smart manufacturing (SM) distinguishes itself from other system paradigms by introducing ‘smartness’ as a measure to a manufacturing system; however, researchers in different domains have different expectations of system smartness from their own perspectives. In this Special Issue (SI), SM refers to a system paradigm where digital technologies are deployed to enhance system smartness by (1) empowering physical resources in production, (2) utilizing virtual and dynamic assets over the internet to expand system capabilities, (3) supporting data-driven decision making at all domains and levels of businesses, or (4) reconfiguring systems to adapt changes and uncertainties in dynamic environments. …

Technology Agency On Usage: Grounded Theory And Measurement Of Technology Induced Usage Behavior, Sandip Kumar Sarkar

Graduate Theses and Dissertations

Most of today’s software applications involve a dyadic interplay between human and technology agency. The use of algorithms driven by user can alter users' interaction patterns by affording them novel and relevant technology action possibilities. I argue that algorithmic activities and features embedded in apps can keep users on IT applications (apps) for longer periods of time. I refer to the behavior of interacting with the apps for longer time than planned as technology-induced excessive use. While practitioners are beginning to recognize characteristics of technology-induced excessive use, research on this topic is very limited. I used a multimethod approach to …

Is Artificial Intelligence A Double-Edged Sword? Insights From Three Essays On Its Impacts, Ankur Arora

Graduate Theses and Dissertations

"If we do it right, we might be able to evolve a form of work that taps into our uniquely human capabilities and restores our humanity. The ultimate paradox is that this technology may become a powerful catalyst that we need to reclaim our humanity." - John Hagel

Artificial intelligence (AI) is viewed as a disruptive technology that some executives believe will take over a lot of jobs. However, others believe that AI will bolster growth, improve business processes, and create new business opportunities. This dissertation focuses on the tension arising from such contrasting expected impacts of AI. Extant research …

Neural-Progressive Hedging: Enforcing Constraints In Reinforcement Learning With Stochastic Programming, Supriyo Ghosh, Laura Wynter, Shiau Hong Lim, Duc Thien Nguyen

Research Collection School Of Computing and Information Systems

We propose a framework, called neural-progressive hedging (NP), that leverages stochastic programming during the online phase of executing a reinforcement learning (RL) policy. The goal is to ensure feasibility with respect to constraints and risk-based objectives such as conditional value-at-risk (CVaR) during the execution of the policy, using probabilistic models of the state transitions to guide policy adjustments. The framework is particularly amenable to the class of sequential resource allocation problems since feasibility with respect to typical resource constraints cannot be enforced in a scalable manner. The NP framework provides an alternative that adds modest overhead during the online phase. …

Joint Chance-Constrained Staffing Optimization In Multi-Skill Call Centers, Tien Thanh Dam, Thuy Anh Ta, Tien Mai

Research Collection School Of Computing and Information Systems

This paper concerns the staffing optimization problem in multi-skill call centers. The objective is to find a minimal cost staffing solution while meeting a target level for the quality of service (QoS) to customers. We consider a staffing problem in which joint chance constraints are imposed on the QoS of the day. Our joint chance-constrained formulation is more rational capturing the correlation between different call types, as compared to separate chance-constrained versions considered in previous studies. We show that, in general, the probability functions in the joint-chance constraints display S-shaped curves, and the optimal solutions should belong to the concave …

Artificial Intelligence In Financial Technology, Keng Siau, Fiona Fui-Hoon Nah, Brenda L. Eschenbrenner, Langtao Chen

Research Collection School Of Computing and Information Systems

AI applications in health care, communications, and arts have brought about rapid and dramatic advances in these fields. Nevertheless, the rapidly expanding potential of AI in the economy and society has raised a set of challenging issues. The fields of AI and financial technology are not spared. How can artificial intelligence (AI) be utilized in financial technology (fintech)? What will be the impact? What actionable objectives are needed to realize value from AI? This research uses a systematic qualitative research methodology, Value-Focused Thinking, to identify the actionable objectives for deriving value from AI in the fintech industry. The results of …

Societal Sustainability: Projects To Address The Three Dimensions Of A Sustainable Future, Braden K. Bateman

Graduate Theses and Dissertations

Sustainability is an important, commonly discussed societal goal regarding assurance of resources for the world to be able to enjoy a prosperous future. Three primary dimensions of sustainability include environmental, economic, and social sustainability, and objectives for various projects can be aimed at any of the three dimensions to pursue societal sustainability. Solar installations, which can be used to pursue environmental and economic sustainability, convert abundant sunlight to electricity, displacing fossil fuel use that contributes harmful greenhouse gases to the atmosphere. The regulatory environment at the state level has a significant impact on the feasibility of solar projects. At present, …

Predictors Of Email Response: Determinants Of The Intention Of Not Following Security Recommendations, Miguel Angel Toro-Jarrin

Engineering Management & Systems Engineering Theses & Dissertations

Organizations and government leaders are concerned about cyber incidents. For some time, researchers have studied what motivates people to act in ways that put the confidentiality, integrity, and availability of information in organizations at risk. Still, several areas remained unexplored, including the role of employees’ evaluation of the organizational systems and the role of value orientation at work as precursors of secure and insecure actions in relation to information technologies (information security [IS] action). The objective of this research project was to examine how the evaluations of formal and informal security norms are associated with the intention to follow them …

Towards Pedagogy Supporting Ethics In Modelling, Marie Oldfield

Journal of Humanistic Mathematics

Education for concepts such as ethics and societal responsibility that are critical in building robust and applicable mathematical and statistical models do currently exist in isolation but have not been incorporated into the mainstream curricula at the school or university level. This is partially due to the split between fields (such as mathematics, statistics, and computer science) in an educational setting but also the speed with which education is able to keep up with industry and its requirements. I argue that principles and frameworks of socially responsible modelling should begin at school level and that this would mean that ethics …

An Information-Theoretic Analysis Of Generative Adversarial Networks For Image Restoration In Physics-Based Vision, Xudong Kang

Lingnan Theses (MPhil & PhD)

Image restoration in physics-based vision (such as image denoising, dehazing, and deraining) are fundamental tasks in computer vision that attach great significance to the processing of visual data as well as subsequent applications in different fields. Existing methods mainly focus on exploring the physical properties and mechanisms of the imaging process, and tend to use a deconstructive idea in describing how the visual degradations (like noise, haze, and rain) are integrated with the background scenes. This idea, however, relies heavily on manually engineered features and handcrafted composition models, which can be theories only in ideal conditions or hypothetical models that …

Cybersecurity Educational Resources For K-12, Debra Bowen, James Jaurez, Nancy Jones, William Reid, Christopher Simpson

Journal of Cybersecurity Education, Research and Practice

There are many resources to guide successful K-12 cybersecurity education. The objective of these resources is to prepare skilled and ethical cybersecurity students at the earliest level to meet the demands of higher-level programs. The goal of this article is to provide, as a starting point, a list of as many currently popular K-12 educational resources as possible. The resources provided are broken into five categories: 1) Career Information, 2) Curriculum, 3) Competitions, 4) CyberCamps, and 5) Labs and Gaming. Each resource listed has a link, the K-12 levels that are supported, whether the resource is free or has a …

Digital Contact Tracing And Privacy, Mahdi Nasereddin, Edward J. Glantz, Galen A. Grimes, Joanne Peca, Michelle Gordon, Mike Bartolacci

Journal of Cybersecurity Education, Research and Practice

Digital contact tracing tools were developed to decrease the spread of COVID-19 by supplementing traditional manual methods. Although these tools have great potential, they were developed rather quickly resulting in tools with varying levels of success. The main issues with these tools are over privacy and who might have access to the information gathered. In general, their effectiveness varied globally, where users expressed privacy concerns associated with sharing identity, illness, and location information. This paper reviews these issues in deployments across Asia, Europe, and the United States. The goal is to begin a discussion that improves the design and development …

Security Simulations In Undergraduate Education: A Review, Joseph Simpson, Aaron Brantly

Journal of Cybersecurity Education, Research and Practice

Several decades of research in simulation and gamification in higher education shows that simulations are highly effective in improving a range of outcomes for students including declarative knowledge and interest in the topic being taught. While there appears to be a broad array of options to provide education in an undergraduate setting related to security, no previous reviews have explored computer-based simulations covering all facets of security. Given the increasing importance and adoption of interdisciplinary educational programs, it is important to take stock of simulations as a tool to broaden the range of problems, perspectives, and solutions presented to students. …

Assessing The Practical Cybersecurity Skills Gained Through Criminal Justice Academic Programs To Benefit Security Operations Centers (Socs), Lucy Tsado, Jung Seob "Scott" Kim

Journal of Cybersecurity Education, Research and Practice

Private-sector and public-sector organizations have increasingly built specific business units for securing company assets, reputation, and lives, known as security operations centers (SOCs). Depending on the organization, these centers may also be referred to as global security operations centers, cybersecurity operations centers, fusion centers, and corporate command centers, among many other names. The concept of centralized function within an organization to improve an organization’s security posture has attracted both the government and the private sectors to either build their own SOCs or hire third-party SOC companies.

In this article, the need for a multidisciplinary approach to cybersecurity education at colleges …

Santa Clara Magazine, Volume 63 Number 1, Summer 2022, Santa Clara University

Santa Clara Magazine

16 - SHARED DREAMS Meet incoming University President Julie Sullivan, the first layperson and woman selected to lead SCU. Leslie Griffy

20 - BD KNOWS BEST Discovering who you really are, being grateful, and dinosaurs with BD Wong. Lauren Loftus.

22 - SWEPT AWAY Being homeless in Silicon Valley is particularly deadly. One professor explores why so many die in a land of such excess. Leslie Griffy .

28 - ON THE OUTSIDE A first-person account of being wrongly convicted, as told by Arturo Jimenez.

30 - BOOKED AND BUSY The secret behind the Hollywood success of so many Bronco …

Quality And Transparency, Christopher J. Smiley Dds

The Journal of the Michigan Dental Association

In a recent JDR Clinical & Translational Research report, the American Dental Association's clinical practice guidelines (CPGs) were determined to offer high-quality guidance for the dental profession. The study employed the AGREE II tool to validate the ADA's guidelines’ methodological rigor and transparency, ensuring their quality. This external review is promising for the profession, as it indicates that the ADA has developed reliable CPGs that support advocacy and implementation. However, the article raises questions about consumer-targeted quality scores for dentist providers, such as DentaQual by P&R Dental Strategies LLC. It suggests that for such scoring systems to be credible, they …

Learning To Ask Critical Questions For Assisting Product Search, Zixuan Li, Lizi Liao, Tat-Seng Chua

Research Collection School Of Computing and Information Systems

Product search plays an essential role in eCommerce. It was treated as a special type of information retrieval problem. Most existing works make use of historical data to improve the search performance, which do not take the opportunity to ask for user’s current interest directly. Some session-aware methods take the user’s clicks within the session as implicit feedback, but it is still just a guess on user’s preference. To address this problem, recent conversational or question-based search models interact with users directly for understanding the user’s interest explicitly. However, most users do not have a clear picture on what to …

Normality Testing Methods And The Importance Of Skewness And Kurtosis In Statistical Analysis, Georges Hatem, Joe Zeidan, Mathijs Goossens, Carla Moreira

BAU Journal - Science and Technology

The normal distribution (bell curve or Gaussian distribution) is a distribution that happens commonly in many circumstances. Real-life data rarely, if ever, follow a perfect normal distribution. Many tests are useful to test normality and more particularly skewness and kurtosis tests assess the comparability of a given distribution from a normal distribution. These tests are widely used in statistics, business, and epidemiological data including blood pressure, heights, IQ scores and measurement errors. This report provides a review assessing the essential methods employed for testing normality and highlighting the importance of skewness and Kurtosis in statistics. Moreover, it gives some examples …

Empirical Assessment Of Big Data Technology Adoption Factors For Organizations With Data Storage Systems, Ahmad B. Alnafoosi

College of Computing and Digital Media Dissertations

Many organizations have on-premises data storage systems. Data storage systems are evolving in multiple ways. One way is the adoption of Big Data. Big Data is a data storage system with the ability to analyze large volumes, velocity, and a variety of data. Per the Economist, data is now the most valuable resource (Parkins, 2017). Big Data holds the promise of unlocking a substantial value of data stored. Yet many organizations are not implementing Big Data. There is a need to identify key factors affecting adoption for such organizations. The literature review revealed multiple gaps in studied adoption factors (un-studied …

Student Self-Grading Form, Brett Whysel

Open Educational Resources

This is a word document that students use at the beginning, midpoint, and end of a semester to set relevant goals, measure progress towards goals, and self-grade. It is intended to build motivation, metacognition, and accountability. Instructors may use it on its own or to supplement other assessment tools, and improve the accuracy, validity, and fairness of final grades.

Pilot Development: An Empirical Mixed-Method Analysis, Jonathan Slottje, Jason Anderson, John M. Dickens, Adam D. Reiman

Faculty Publications

Purpose — Pilot upgrade training is critical to aircraft and passenger safety. This study aims to identify variances in the US Air Force C-130J pilot upgrade training based on geographic location and provide a model to enhance policy that will impact future pilot training efforts that lower cost and increase operator quality and proficiency.
Design/methodology/approach — This research employed a mixed-method approach. First, the authors collected data and analyzed 90 C-130J pilots' aviation records and then contextualized this analysis with interviews of experts. Finally, the authors present a modified version of Six Sigma's define–measure–analyze–improve–control (DMAIC) that identifies and reduces the …

Transportation Service Level Impact On Aircraft Availability, Vincent Mclean, Adam D. Reiman

Faculty Publications

Purpose — Aircraft fail to meet mission capable rate goals due to a lack of supply of aircraft parts in inventory where the aircraft breaks. This triggers an order at the repair location. To maximize mission capable rate, the time from order to delivery needs to be minimized. The purpose of this research is to examine the case of three airfields for the order to delivery time of mission critical aircraft parts for a specific aircraft type. Design/methodology/approach — This research captured data from three information systems to assess the order fulfillment process. The data were analyzed to determine the …

Theory About Factoring Service, Burhan Economy Rexhepi Ek

International Journal of Business and Technology

Factoring is one of the oldest and common methods of trade fi nance over the world with a long historical development. According to historians, Factoring is originated 4,000 years ago in the days of King Hammurabi of Mesopotamia whereby the fi rst literate societies were developed. Although Mesopotamia no longer exists, many of its great contributions to civilization have endured, including Factoring. The fi rst documented-use of factoring was widespread occurred in the American colonies before the revolution to serve for trade. With the abundance of the North American landscape, colonists cultivated and traded commodities like cott on, fur and …

Soft Wheat Quality Parameters Evaluation By Near Infrared Spectroscopy: From Field To Shelf Analysis, Kliton Bylykbashi

International Journal of Business and Technology

Near InfraRed Spectroscopy (NIRS) is a powerful tool that is widely applied in agro-food science and technology research for qualitative as well as quantitative analysis. It is one analytical technique that is taking place in this sector due to its low costs, reliability, rapidity and not invasive / non-destructive nature. NIRS along with chemometric modelling can provide accurate assessment of various grain quality attributes and the chemical composition of grain. The present work investigates the ability of using NIRS for the evaluation of different wheat quality parameters by using a portable spectroradiometer working in Visible – Short Wave InfraRed (Vis-SWIR: …

Types Of Suturing Materials In Oral Surgery, Biljana Evrosimovska

International Journal of Business and Technology

Aim: In everyday surgical practice, different types of suturing materials are available. They play an important role in tissue healing, facilitate the process of hemostasis, enable the reconstruction and reunification of tissue whose integrity has been compromised during surgery or trauma. The aim of this study is to examine the reaction of the tissue to different suturing materials, as well as to determine the speed of wound healing and the incidence of complications after their use, in order to prove which of them is most suitable for oral surgery procedure. Material and methods: These researches were done based on analyzes …

Can Democratic Subjectivity Be A Way Out Of Recent Crisis Of Democracy? The Case Of Turkey, Erdem Damar

International Journal of Business and Technology

Drawing from poststructuralist perspective with a specific emphasis on agonistic democracy, this paper emphasises on the notion of democratic subjectivity as a possible way out of the contemporary crisis of liberal democracy. The two faces of this crisis will be elaborated in the first part. While the crisis of democracy is largely produced by the implementations of conservative, technocratic and capitalist politics that embrace minimalist approaches to democracy by reducing it into a set of rules to govern politics, it also gains visibility to the emergence of a wide range of counter-mobilisations contesting these neoliberal variants. In that respect, post-structuralist …