Business Commons^™

The Impact Of Covid-19 Pandemic On Fan Attendance In Major League Soccer (Mls) 2018-2022, Benjamin Appiah

Electronic Theses, Projects, and Dissertations

ABSTRACT

This culminating experience project investigates the impact of the COVID-19- on Major League Soccer (MLS). The research questions are: (Q1) How did the pandemic impact the trend of fan attendance in the MLS during the COVID-19 pandemic? (Q2) What factors impacted fan attendance in MLS games before the COVID-19 pandemic? (Q3) What factors impact fan attendance in MLS games after COVID-19 pandemic? The findings were: (Q1) Average annual fan attendance declined by 93.61% in 2019 and 2020, and an annua l increase of 49.47% between the year of 2020 and 2021. (Q2) The study revealed that 72.9% of the …

Early-Warning Prediction For Machine Failures In Automated Industries Using Advanced Machine Learning Techniques, Satnam Singh

Electronic Theses, Projects, and Dissertations

This Culminating Experience Project explores the use of machine learning algorithms to detect machine failure. The research questions are: Q1) How does the quality of input data, including issues such as outliers, and noise, impact the accuracy and reliability of machine failure prediction models in industrial settings? Q2) How does the integration of SMOTE with feature engineering techniques influence the overall performance of machine learning models in detecting and preventing machine failures? Q3) What is the performance of different machine learning algorithms in predicting machine failures, and which algorithm is the most effective? The research findings are: Q1) Effective outlier …

Improving Credit Card Fraud Detection Using Transfer Learning And Data Resampling Techniques, Charmaine Eunice Mena Vinarta

Electronic Theses, Projects, and Dissertations

This Culminating Experience Project explores the use of machine learning algorithms to detect credit card fraud. The research questions are: Q1. What cross-domain techniques developed in other domains can be effectively adapted and applied to mitigate or eliminate credit card fraud, and how do these techniques compare in terms of fraud detection accuracy and efficiency? Q2. To what extent do synthetic data generation methods effectively mitigate the challenges posed by imbalanced datasets in credit card fraud detection, and how do these methods impact classification performance? Q3. To what extent can the combination of transfer learning and innovative data resampling techniques …

Education As A Solution To Combat Rising Cybercrime Rates Against Children And Teenagers, Christian Javier Solis-Diaz

Electronic Theses, Projects, and Dissertations

Ninety seven percent (97%) of people between the ages of 3 and 18 are found to be users of technology and internet services daily. This number also correlates with rising cyber crime rates against people in this age bracket. It is found that people between 3 and 18 years old are found to be technologically savvy but often lack the knowledge of how to protect themselves in online environments. Researchers have suggested that cybersecurity awareness training is an effective method at combating common forms of cyberattack such as social engineering. Social engineering attacks are found to make up 98% of …

Navigating The Ethical And Legal Terrains Of Ai Tool Deployment: A Comparative Legal Analysis, Roland Akindele, Stella Jesuloluwa Adewuyi

Communications of the IIMA

The pervasive influence of technology has revolutionised numerous sectors across the globe, underscoring the need for a comprehensive evaluation of the tools that technology has engendered. Artificial Intelligence (AI), as a prominent technological tool, has exceeded expectations and proven immensely beneficial to humanity. Consequently, it is imperative to scrutinise the ethical and regulatory frameworks governing its application. This paper employs a doctrinal methodology to analyse the regulatory landscape and ethical guidelines surrounding AI technology in Nigeria and some selected jurisdictions. The findings highlight the necessity of establishing a robust governance system to govern the utilisation of this transformative technology. In …

The Influence Of Hybrid Working In The Context Of Agile Software Development Within The Dutch Financial Sector, Joris Zomerdijk, Benny De Waal

Communications of the IIMA

The COVID-19 pandemic has accelerated remote working and working at the office. This hybrid working is an indispensable part of today's life even within Agile Software Development (ASD) teams. Before COVID-19 ASD teams were working closely together in an Agile way at the office. The Agile Manifesto describes 12 principles to make agile working successful. These principles are about working closely together, face-to-face contact and continuously responding to changes. To what extent does hybrid working influence these agile principles that have been indispensable in today's software development since its creation in 2001? Based on a quantitative study within 22 Dutch …

A Framework For Building Cognitive Knowledge Management Systems, Samir Jarjoui, Renita Murimi

Communications of the IIMA

Knowledge Management Systems (KMSs) are a critical component of economic development and growth. The accumulation and effective utilization of knowledge capabilities allow firms to create value and improve competitiveness. However, recent technological advances in KMSs have outpaced research in this area, which continues to be siloed and characterized by a lack of cohesive frameworks and a limited focus on cognitive learning. This paper provides a conceptual framework for the development of cognitive KMSs. The proposed framework comprises of strategy, people, processes, learning, and technology that are designed to improve knowledge management and organizational memory.

Enterprise Architecture In Healthcare Networks: A Systematic Literature Review, Arjen Maris, Stijn Hoppenbrouwers, Jos Van Hillegersberg

Communications of the IIMA

Healthcare organizations collaborate, share knowledge, and need to be accountable to each other. Therefore, healthcare organizations manage a dynamic information system landscape. Enterprise Architecture (EA) is a management tool for aligning these landscapes to the primary information needs that healthcare organizations have. EA is of value in some environments, but it seems to be not well suited to the dynamics of healthcare. Despite the publication of several systematic literature reviews on EA in healthcare, a systematic literature study comparing EA applicability at various levels of cooperation (intra, inter, and network collaboration) is lacking. Therefore, we posed the following research question: …

Electronic Clinical Quality Measures Of Health Information Technology And Hospital Performance: Evidence Of U.S. Hospitals, C. Christopher Lee, Hyoun Sook Lim, Decorti Rodgers-Tonge, Lisa Frank

Communications of the IIMA

Electronic clinical quality measures (eCQMs) are an integral part of health information technology (HIT). This study explores the effect of eCQM implementation on hospital performance. The study proposes hospital profitability, efficiency, and quality to measure hospital performance. Based on the literature, this research hypothesizes that implementing eCQMs would positively impact hospital profitability, efficiency, and quality. The sample data are drawn from the 2017 American Hospital Association (AHA) U.S. Hospital Survey datasets (N = 6282), the 2017 AHA U.S. Hospital I.T. Survey dataset (N = 3451), and the 2017 Hospital Consumer Assessment of Healthcare Providers and Systems (HCAHPS) datasets (N = …

Towards A Domain – Specific Comparative Analysis Of Data Mining Tools, May Oo, Daniel Lozovikas, Ramesh Subramanian

Communications of the IIMA

Advancement in technology has brought in widespread adoption and utilization of data mining tools. Successful implementation of data mining requires a careful assessment of the various data mining tools. Although several works have compared data mining tools based on usability, opensource, integrated data mining tools for statistical analysis, big/small scale, and data visualization, none of them has suggested the tools for various industry-sectors. This paper attempts to provide a comparative study of various data mining tools based on popularity and usage among various industry-sectors such as business, education, and healthcare. The factors used in the comparison are performance and scalability, …

Examining The Relevance Of Indian Logical Traditions And Present-Day Ai Developments, Ramesh Subramanian

Communications of the IIMA

This paper is an essay on the differences between “formal” Western logic and Indian logical traditions and how the latter impacts present-day AI developments. Upon the colonization of India, Western philosophers often dismissed Indian logical constructs as being underdeveloped or clumsy. Others, however, saw such denigration as emanating from Western racial prejudice rather than objectivity. This debate has persisted. I discuss the salient aspects of this debate, and then focus on the inductive aspects of Indian logic. This is especially relevant to the present, when there is an explosion of artificial intelligence based applications. I discuss the salient features of …

Forecasting Gasoline Price With Time Series Models, Xin James He

Communications of the IIMA

This research forecasts the gasoline price in U.S. and analyzes its managerial implications by means of both univariate and multivariate time series forecasting models. Gasoline price forecast is among the most difficulty time series variables during its importance to the economy and extremely volatile nature. The average regular gasoline price in U.S. reached $5.06 per gallon in the month of June 2022, as opposed to $3.41 at the beginning of 2022, a 48% increase. While gasoline prices had been rising over the first half of 2022 due to supply chain disruptions as a result of global Covid 19 lockdowns and …

Measuring Circularity: The Gordian Knot Of The 21st Century, Arjen Wierikx, Pascal Ravesteijn, Néomie Raassens, Alex Alblas

Communications of the IIMA

Organizations are currently facing substantial challenges regarding becoming circular by 2050 – also referred to as Circular Economy (CE). Subsequently, increasing complexity on all organizational levels creates uncertainty about respective organizational and technological capabilities and adequate strategies to develop these capabilities. Organizations are struggling in picking up the CE ambitions and answering the what’s in it for me question. Scholars are developing models and frameworks to enable organizations to measure CE performance. Over 125 assessment methods are available for micro level assessment – measuring up to 365 different metrics. Moreover, extant literature is available presenting barriers and opportunities for CE …

Statistical Analysis And Machine Learning To Improve League Championship Series Teams, Alexander Gilles

Electronic Theses, Projects, and Dissertations

ABSTRACT

One area for further study in Esports is the use of advanced analytics from a performance standpoint. This culminating experience project sought to find and implement effective performance analytics techniques, using the most popular Esport (League of Legends) as its subject. The research questions asked are (Q1) How do champions, players, and their associated in-game variables impact the results of League of Legends matches? (Q2) How can machine learning algorithms be implemented to utilize descriptive and predictive analytics for League of Legends most effectively? Additionally, while not an element of the analysis and machine learning model, it is important …

Investigating The Costs And Economic Impact Of Flight Delays In The Aviation Industry And The Potential Strategies For Reduction, Ashmith Anupkumar

Electronic Theses, Projects, and Dissertations

This study addressed a critical issue in our travel life: flight delays. This study covers all aspects of a flight delay, from its causes and consequences to reduction strategies. The focused research questions were: To determine the outcome of flight delays in the aviation industry, to determine costs associated with flight delays for airlines, airports, and passengers, and to determine strategies for reducing flight delays in the aviation industry for robust findings. The findings for each question were as follows: the primary causes were overscheduling, airport hubbing, late check-ins, technical failure, etc. And the consequences were significant financial loss, the …

Healthcare Data Breaches: Analysis And Prevention, Nikita S. Dean

Electronic Theses, Projects, and Dissertations

It is evident that the healthcare sector continues to experience data breaches. This culminating experience project focuses on the need to maintain patient data privacy, minimize financial risks, and address public health concerns. The study examined data collected from U.S. Department of Health and Human Services from 2018 to 2023 to answer the following research questions: Q1. How many individuals are affected due to data breaches in healthcare & which States had the most affected individuals? Q2. What are the most common causes of healthcare data breaches & what measures can be taken to prevent this? and Q4. What are …

The Impact Of Covid-19 On Fan Attendance To Sports Events: The Case Of Major League Baseball, Alondra Aleman

Electronic Theses, Projects, and Dissertations

The COVID-19 pandemic impacted the world in 2020 causing nationwide lockdowns in many countries. During this time in 2020, the MLB shortened their regular season and played with no spectators in attendance. This project aims to provide insights into the impact of the MLB stadium closures on fan attendance. The research questions asked are: (Q1) How did MLB stadium closures during the COVID-19 lockdowns affect individual teams' attendance in the seasons after COVID-19? (Q2) What factors influenced MLB stadium attendance pre-COVID-19? (Q3) What factors influence MLB stadium attendance post-COVID-19? An empirical model was developed through recommendations from past studies. The …

The Role Of Organizational Support In The Relationship Between Safety Climate And Organizational Outcomes, Lee Chambers

Electronic Theses, Projects, and Dissertations

Organizations employing individuals in high-risk or safety-sensitive occupations (e.g., construction workers, commercial drivers, pilots, and oil rig workers) face the challenge of ensuring their employees’ safety and well-being amidst various hazards and dangerous situations. To address this, cultivating a positive safety climate has been identified as a crucial factor in reducing workplace accidents or injuries. However, despite its importance, the link between safety climate and non-safety outcomes remains underexplored in the literature. In response, this study proposed a model based on social exchange theory, which highlights the crucial role of organizational support in explaining the relationship between safety climate and …

The Effects Of Organizational Justice, Anneliese Yuenger

Electronic Theses, Projects, and Dissertations

The aim of the present study was to examine the perceptions of organizational justice on employee outcomes of work engagement, burnout, turnover intentions, and presenteeism. The study used survey data from 329 employees who worked over 30 hours per week in the last six months. Data were analyzed using SPSS 28 and Hayes PROCESS Macro to assess descriptive statistics, correlation, simple linear regression, and mediated path analyses. The results of the study found that perceptions of organizational justice (POJ) positively related to engagement. An inverse relationship was found for POJ, burnout, turnover intention, and presenteeism. Overall, engagement and burnout were …

A Systematic Literature Review Of Ransomware Attacks In Healthcare, Jasler Klien Adlaon

Electronic Theses, Projects, and Dissertations

This culminating experience project conducted a Systematic Literature Review of ransomware in the healthcare industry. Due to COVID-19, there has been an increase in ransomware attacks that took healthcare by surprise. Although ransomware is a common attack, the current healthcare infrastructure and security mechanisms could not suppress these attacks. This project identifies peer-viewed literature to answer these research questions: “What current ransomware attacks are used in healthcare systems? “What ransomware attacks are likely to appear in the future?” and “What solutions or methods have been used to prepare, prevent, and recover from these attacks?” The purpose of this research is …

Identifying Effective Attributes And Trends In The Evolution Of Enterprise Architecture In Healthcare, Brian Gaul

Electronic Theses, Projects, and Dissertations

The purpose of this study was to determine which attributes within existing Enterprise Architecture frameworks are trending in recent, successful implementations within healthcare. The research questions were: Q1. What attributes were used within Enterprise Architecture in the healthcare industry? Q2. What are the limitations of those attributes? Q3. How can those attributes assist in successful Enterprise Architecture implementations? To uncover these attributes in practical work, this study used a trend analysis of current qualitative data of the healthcare industry and in recent implementations. The findings were as follows: Q1. Eight attributes were identified in practical healthcare work, the two most …

Accounting And Financial Statements Auto Analysis System, Zhen Jia

Electronic Theses, Projects, and Dissertations

This project was motivated by the need to revolutionize the generation of financial statements and financial analysis process thus speeding up business decision making. The research questions were: 1) How can machine learning increase the speed of financial statement preparation and automate financial statements analysis? 2) How can businesses balance the benefits of automating financial analysis with potential concerns around privacy, data security, and bias? 3) Can the Java J2EE framework provide a reliable running environment for machine learning?

The findings were: 1) Machine learning can significantly increase the accuracy and speed of financial analysis. Using machine learning algorithms, financial …

How Does Bpm Maturity Affect Process Performance?

Communications of the IIMA

Organizations are increasingly confronted with the consequences of globalization, digitalization and disruptive (technological) developments. The constantly changing and dynamic social, economic, and political environment as well as the public opinion require public organizations to deliver effective and efficient services. These trends also apply to Dutch housing associations who are working together with suppliers in the process of property maintenance to increase quality and to reduce costs. Business Process Management (BPM) has the prospect of enhancing the performance of maintenance processes. Previous studies have confirmed a positive relationship between BPM-maturity and Process performance. However, in different contexts this relation is sometimes …

Cyber Threat Intelligence Discovery Using Machine Learning From The Dark Web

Communications of the IIMA

Cyber threat intelligence (CTI) is an actionable information or insight an organization uses to understand potential vulnerabilities it does have and threats it is facing. One important CTI for proactive cyber defense is exploit type with possible values system, web, network, website or Mobile. This study compares the performance of machine learning algorithms in predicating exploit types using form posts in the dark web, which is a semi- structured dataset collected from dark web. The study uses the CRISP data science approach. The results of the study show that machine learning algorithms which are function-based including support vector machine and …

Short-Term Prediction Of Icu Admission For Covid-19 Inpatients, Yoon Sang Lee, Riyaz T. Sikora

Journal of International Technology and Information Management

Since the COVID-19 outbreak, many hospitals suffered from a surge of some high-risk inpatients needing to be admitted to the ICU. In this study, we propose a method

predicting the likelihood of COVID-19 inpatients’ admission to the ICU within a time frame of 12 hours. Four steps, the Bayesian Ridge Regression-based missing value imputation, the synthesis of training samples by the combination of two rows (the first and another row) of each patient, customized oversampling, and XGBoost classifier, are used for the proposed method. In the experiment, the AUC-ROC and F-score of our method is compared with those of other …

The Applications Of Artificial Intelligence In Managing Project Processes And Targets: A Systematic Analysis, Cherie Noteboom, Martinson Ofori, Zixing Shen

Journal of International Technology and Information Management

Artificial intelligence (AI) has emerged as the defining technology of the 21st century and has far-reaching impacts on project management (PM). This study assesses the applications of AI in managing project processes and targets through a systematic analysis of publications from 2017 to 2021. The analysis has revealed interesting insights, trends, gaps, and issues. This study informs the researchers and practitioners of the status of AI applications in the management of project processes and targets. It helps stimulate research efforts that can lead to more advances in applying AI to augment PM practices.

Determinants Of Continuance Intention To Use Mobile Wallets Technology In The Post Pandemic Era: Moderating Role Of Perceived Trust, Shailja Tripathi

Journal of International Technology and Information Management

The Covid-19 pandemic amplified the volume and importance of mobile payments using digital wallets and placed a basis for their continued adoption. The objective of the study is to formulate and test a comprehensive model by integration of the technology acceptance model (TAM) and expectation confirmation model (ECM) with the addition of three constructs, namely perceived trust, perceived risk, and subjective norm, to identify the determinants of continuance intention to use mobile wallets. Questionnaire-based survey method was used to gather the data from 550 users having experience using mobile wallets for more than six months. The data were analyzed using …

Analysis Of The Impact Of Vaccinations On Pandemic Metrics In The New York Metropolitan Area, Oredola A. Soluade, Heechang Shin, Robert Richardson

Journal of International Technology and Information Management

This study evaluates the relationship between pandemic cases and vaccination usage, ICU bed utilization, hospitalizations, and deaths in the New York City metropolitan area. The study includes variables for the lockdown period and confirmed infections. The evaluation addresses three periods: (1) before vaccinations, (2) after vaccinations, and (3) the lockdown period. In addition, the number of vaccines per day for the manufacturers (Pfizer, Moderna, and Johnson & Johnson) are included in the study. Comparisons with New Jersey and Connecticut are used to validate that New York statistics are consistent with other states. The results provide a general model of the …

Acceptance Of Interoperable Electronic Health Record (Ehrs) Systems: A Tanzanian E-Health Perspective, Emmanuel Mbwambo, Herman Mandari

Journal of International Technology and Information Management

The study assessed factors that influence the acceptance of interoperable electronic Health Records (EHRs) Systems in Tanzania Public Hospitals. The study applied a hybrid model that combined the Technology Acceptance Model (TAM) and Technology-Organization-Environment (TOE). Snowball sampling technique was applied and a total of 340 questionnaires were distributed to selected clinics, polyclinics and hospitals, of which 261 (77%) received questionnaires were considered to be valid and reliable for subsequent data analysis. IBM SPSS software version 27.0 was employed for data analysis. Findings indicated that relative advantage, compatibility, management support, organizational competency, training and education, perceived ease of use, perceived usefulness, …

Health Information Exchange Adoption And Patient Satisfaction: The Mediating Role Of Organizational Efficiency, Hsun-Ming Lee, Peiqin Zhang, Jaymeen Shah

Journal of International Technology and Information Management

Patient satisfaction is perceived as a significant benefit of hospitals’ investments in health information exchange (HIE). Successful implementation of HIE systems lead to increased organizational efficiency in hospitals and more likely to enable doctors and other staff members to better meet patient needs and expectations. This research draws upon system success theory to examine how HIE adoption affects patient satisfaction. In addition, this research investigates whether the relationship between HIE adoption and patient satisfaction is mediated by organizational efficiency. This is the first research study that draws upon system success theory to understand how HIE adoption affects patient satisfaction.

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