Digital Commons Network^™

Effects Of Cultural Holidays On Online Shopping And Advertising: A Comparative Study Between Usa And India, Manikanta Gattu

Electronic Theses, Projects, and Dissertations

ABSTRACT

In cultural holidays, an exponential increase in sales in online platforms as compared to sales during the regular season is expected. This study aims to compare the effect of cultural holidays on online shopping and advertising in India and USA in 2023. According to Hofstede’s second dimension regarding Individualism and Collectivism, most of the US people take shopping decisions individually and whereas in India people will take suggestions from others and collectively shop online. Research questions are: (Q1) How do cultural holidays effect online shopping in USA as compared to India? (Q2) How do different cultural holidays affect Online …

Data-Driven Forecasting For Effective Demand Management In The E-Commerce Ecosystem, Chirag Pandey

Electronic Theses, Projects, and Dissertations

This culmination project investigated and analyzed the impact of factors influencing sales forecasting models in the e-commerce ecosystem. The research questions are: Q1) To what extent are sales forecasting models in the e-commerce ecosystems influenced by customer demographic variables such as gender, age, and geographic locations? Q2) To what extent are sales forecasting models in the e-commerce ecosystems influenced by product specific factors? The datasets used were from Kaggle, and the Worldometer websites. The findings are: Q1) Individuals aged '55 or over' significantly impact total sales in both the USA and Brazil. Male consumers consistently accounted for a higher proportion …

Study Of Brain Tumor Prediction By Using Machine Learning, Vishaya Ummaneni

Electronic Theses, Projects, and Dissertations

Technological advancements in deep learning and machine learning have greatly improved the diagnosis and analysis of medical images. This culminating experience project utilized the EfficientNetV2B3 model to predict brain tumors. The research questions are: (Q1) Does the study's deep learning model perform better than current methods when it comes to predicting brain tumor? (Q2) How much does the model's performance change when using different optimizers such as Adagrad, Adam, and SGD? (Q3) Can the regularization method, such as dropout, enhance the neural network model's generalization? The findings are as follows: (Q1) Yes; the EfficientNetV2B3 model performs better than current methods. …

Impacts Of Energy Price Cap System On Electricity And Gas Prices In The Era Of Energy Crisis, Jyothi Swaroop Chava

Electronic Theses, Projects, and Dissertations

29 million households in the United Kingdom (UK) use Energy Price Cap and the UK government spend about 43 billion dollars a year which is 1.7 percent of the GDP in subsidizing the energy price cap subsidies to the households and businesses. The energy prices in the UK have seen a significant rise in the past few years for distinct reasons. This culminating experience project explains the mechanism of the energy price cap used for the household energy supply in the UK and how it has been affected between the years 2022 to 2024. The research questions are: (Q1) How …

Association Between Food Insecurity And Chronic Health Condition Among Adults (18 To 48), Prasanth Reddy Guda

Electronic Theses, Projects, and Dissertations

Uncertainty or limited access to safe food, known as food insecurity, can affect the health and healthcare needs of individuals with several chronic conditions. During 2022, 12.8 percentage (around 17.0 million) of households in the United States experienced food insecurity. The main objective of this study was to examine the Association between food insecurity and chronic health conditions adults. We collected data from NHIS 2022 sample Adults’ Interview (The National Health Interview Survey). The research question asked are: (Q1) Are there certain long term health issues that are more common among adults facing food insecurity age in between the ages …

Impact Of Seasonality On Demand Forecasting Techniques For Small-Scale Food Retailers, Indu Sree Guturu

Electronic Theses, Projects, and Dissertations

This study explores the impact of seasonality on SKU (Stock Keeping Unit) demand forecasting in small-scale food retailers through the analysis of historical sales data, focusing on four key products, labelled: Product A, Product B, Product C & Product D. The research aims to assess the accuracy of different forecasting models in capturing seasonal fluctuations. The research questions are: (Q1) What is the impact of seasonality on SKU demand forecasting in case of small-scale food retailers. (Q2) How does the efficacy of Traditional model compare to alternative technologically driven forecasting techniques? (Q3) To what extent can the impact of seasonality …

Effectiveness Of Cnn-Lstm Models Used For Apple Stock Forecasting, Ethan White

Electronic Theses, Projects, and Dissertations

This culminating experience project investigates the effectiveness of convolutional neural networks mixed with long short-term memory (CNN-LSTM) models, and an ensemble method, extreme gradient boosting (XGBoost), in predicting closing stock prices. This quantitative analysis utilizes recent AAPL stock data from the NASDAQ index. The chosen research questions (RQs) are: RQ1. What are the optimal hyperparameters for CNN-LSTM models in stock price forecasting? RQ2. What is the best architecture for CNN-LSTM models in this context? RQ3. How can ensemble techniques like XGBoost effectively enhance the predictions of CNN-LSTM models for stock price forecasting?

The research questions were answered through a thorough …

Automatic Speech Recognition For Air Traffic Control Using Convolutional Lstm, Sakshi Nakashe

Electronic Theses, Projects, and Dissertations

The need for automatic speech recognition in air traffic control is critical as it enhances the interaction between the computer and human. Speech recognition helps to automatically transcribe the communication between the pilots and the air traffic controllers, which reduces the time taken for administrative tasks. This project aims to provide improvement to the Automatic Speech Recognition (ASR) system for air traffic control by investigating the impact of convolution LSTM model on ASR as suggested by previous studies. The research questions are: (Q1) Comparing the performance of ConvLSTM with other conventional models, how does ConvLSTM perform with respect to recognizing …

An Exploration Of Synergy Evaluation Application Model To Support Implementation On Merger And Acquisition, Jieping Mei

Electronic Theses, Projects, and Dissertations

ABSTRACT

The project focuses on a comprehensive system’s analysis and design of the front-end of the Synergy Evaluation Application Model (SEAM) system for mergers and acquisitions (M&As). The research questions asked are: Q1. How did the SEAM system incorporate the system requirements and design that incorporated the strategic goals and priorities of both the acquirer and the acquiree? Q2. What data sources will the SEAM system rely on, and how does it overcome data integration, automation, visualization challenges? Q3. How will the model identify build in potential synergies, both quantitative and qualitative? The research questions were analyzed through the SEAM …

Traffic Analysis Of Cities In San Bernardino County, Sai Kalyan Ayyagari

Electronic Theses, Projects, and Dissertations

This research offers an in-depth analysis of vehicular traffic within San Bernardino County, California, aiming to spotlight congestion areas and suggest improvements for more efficient and sustainable transportation. Leveraging 2021 data from StreetLight Data, traffic patterns in 15 key cities were examined based on their population sizes, covering various vehicle types to dissect dynamics and flow. The methodology focused on analyzing trip purposes and metrics to calculate Vehicle Miles Traveled (VMT) and its influence on congestion and environmental factors.

Findings indicate considerable disparities in traffic volume, purposes, and timings across different urban areas, with population density and intercity connections significantly …

Truck Traffic Analysis In The Inland Empire, Bhavik Khatri

Electronic Theses, Projects, and Dissertations

This study undertakes a meticulous examination of truck traffic within the Inland Empire, focusing on the distribution and dynamics of medium and heavy-duty vehicles, to advocate for the region's transition to electric trucks. Utilizing advanced spatial analysis and data from Streetlight Data, it segments the region into six subregions, revealing distinct traffic patterns and environmental impacts. Notably, the research uncovers that the North Center and West zones, integral to the logistics and warehousing sectors, exhibit the highest traffic volumes, significantly influencing air quality and infrastructure.

Quantitative results from 2021 illustrate a pronounced disparity in truck activity: medium-weight vehicles accounted for …

Investigating The Potential Of Augmented Reality In Creating A Sense Of Place On College Campuses, Linda White

Electronic Theses, Projects, and Dissertations

This project examines how designing an augmented reality (AR) campus navigation app can improve college students' sense of place and connection with California State University, San Bernardino (CSUSB). To guide the design of the app, I engaged in qualitative research using a curated campus walk protocol that invited students to walk to their favorite place on campus and record their walk while narrating it.

My analysis reveals the larger patterns that students use to select favorite places and favorite routes to those places, as well as how space navigation may lead to the formation of a sense of connection with …

The Impact Of Social Media On Charitable Giving For Nonprofit Organization, Namchul Shin

Journal of International Technology and Information Management

Research has extensively studied nonprofit organizations’ use of social media for communications and interactions with supporters. However, there has been limited research examining the impact of social media on charitable giving. This research attempts to address the gap by empirically examining the relationship between the use of social media and charitable giving for nonprofit organizations. We employ a data set of the Nonprofit Times’ top 100 nonprofits ranked by total revenue for the empirical analysis. As measures for social media traction, i.e., how extensively nonprofits draw supporters on their social media sites, we use Facebook Likes, Twitter Followers, and Instagram …

Explaining Variation In Adoption Of Organizational Innovation: A Social Network Approach, Pooria Assadi

Journal of International Technology and Information Management

This article draws from the social network theory and examines how a social network approach can contribute to our understanding of the variation in the adoption of innovative, organization-wide information systems that can help businesses achieve sustainable competitive advantage. It highlights how the extant explanations for the adoption of information systems are limited in the way that they primarily assume organizations make innovation adoption decisions in isolation. It does so by building on growing research which recognizes that organizations are not isolated from one another; rather, they are interrelated through their inter-organizational networks which provide unique learning opportunities that are …

How Does Digitalisation Transform Business Models In Ropax Ports? A Multi-Site Study Of Port Authorities, Yiran Chen, Anastasia Tsvetkova, Kristel Edelman, Irina Wahlström, Marikka Heikkila, Magnus Hellström

Journal of International Technology and Information Management

This article investigates the relationship between digitalisation and business model changes in RoPax ports. The study is based on six RoPax ports in Northern Europe, examining their digitalisation efforts and the resulting changes in their business models, leading to further digital transformation. The paper offers insights by reviewing relevant literature on digitalisation’s role in business model innovation and its application in ports. The findings reveal that digitalisation supports relevant business model changes concerning port operation integration within logistics chains, communication, documentation flow, and cargo flow optimisation. However, exploring digitalisation’s potential for diversifying value propositions is still limited. Most digitalisation efforts …

An Empirical Study To Understand The Role Of Institution-Based Trust And Its Antecedents In Iot Adoption By Individuals, Anupam Kumar Nath, Amit Kumar Nath

Journal of International Technology and Information Management

ABSTRACT

The Internet of Things (IoT) enables the connection between humans, physical objects, and cyber objects, resulting in monitoring, automation, and decision-making capabilities. This connection can be complex and lead to uncertainty for individuals before adopting IoT technology. To address this, we conducted research on the role of Institution-based trust in the context of IoT adoption. Our model for IoT adoption is based on existing literature and includes the components of Institution-based trust and its antecedents. Through empirical testing, we confirmed that Institution-based trust positively affects IoT adoption at the individual level. Additionally, we found that User confirmation/disconfirmation and familiarity …

Key Issues Of Predictive Analytics Implementation: A Sociotechnical Perspective, Leida Chen, Ravi Nath, Nevina Rocco

Journal of International Technology and Information Management

Developing an effective business analytics function within a company has become a crucial component to an organization’s competitive advantage today. Predictive analytics enables an organization to make proactive, data-driven decisions. While companies are increasing their investments in data and analytics technologies, little research effort has been devoted to understanding how to best convert analytics assets into positive business performance. This issue can be best studied from the socio-technical perspective to gain a holistic understanding of the key factors relevant to implementing predictive analytics. Based upon information from structured interviews with information technology and analytics executives of 11 organizations across the …

Competencies And Capabilities As Determinants Of Digital Entrepreneurship: An Empirical Validation, Arvind Gudi, Ravi Chinta, Alan Jin

Journal of International Technology and Information Management

This study aims to examine the influence of digital competencies and awareness of digital capabilities on digital entrepreneurial drive in the pre-startup stages of hi-tech businesses. Based on primary data from a sample of 357 respondents, we tested the hypothesized relationships for direct and interactive effects on digital entrepreneurial drive. Our results show that digital competencies and awareness of digital capabilities influence entrepreneurial aspiration and commitment in the pre-startup phase. We use the digital entrepreneurship framework by Recker and von Briel (2019) as the theoretical foundation and demonstrate a novel approach to expand the dimensions of digital enabler, digital outcome, …

Does Personality Traits And Security Habits Influence Security Of Personal Identification Numbers? The Context Of Mobile Money Services In Tanzania., Daniel Ntabagi Koloseni

Journal of International Technology and Information Management

Security is an important ingredient in financial transactions; as such, it is imperative that attention should be paid to enhancing the security habits and user behaviours of mobile payment services. Establishing a link between security habits, personality characteristics, and security behaviours provides a new dimension to studying security behaviours regarding mobile money services. Therefore, this study investigates how personality traits affect security behaviours and habits and how security habits mediate the link between personality traits and PIN security practices. The study found that conscientiousness, openness to experience, extroversion and security habits influence PIN security practices, while conscientiousness, agreeableness, and neuroticism …

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 …

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 …

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 …

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 …

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 …