Business Commons^™

Understanding The Dynamics Of Chatbot Design, Transparency, And Ethical Implications In Customer–Brand Relationship In Hospitality And Tourism Industry, Shakera Parveen

Electronic Theses, Projects, and Dissertations

This culminating experience project investigated the impact of chatbot interactions on customer perceptions, ethical considerations, and transparency within the hospitality and tourism industry. The research questions are: Q1: how do the specific visual and verbal aspects contribute to shaping customer perceptions within the context of chatbot marketing efforts? Q2: what steps can companies take to address and mitigate ethical concerns surrounding interactions with chatbots? Q3: To what extent does the level of transparency and explainability in chatbot interactions influence customer trust and satisfaction? The findings are: Q1: the study revealed that visual and verbal aspects of chatbot design significantly shape …

Empowering Change To Shape Tomorrow: An Integrated Marketing Communications Plan For The Building Wealth Initiative, Ramtin Ranjpour

Electronic Theses, Projects, and Dissertations

We are witnessing a renaissance — one where organizations are expected to be a community with a valued culture. With the rise of this wave, incorporating integrated marketing communications (IMC) into organizations is more vital than ever. This project uses the public relations theory of relationship management, and the marketing model of AIDAR (attention, interest, desire, action, retention) to craft a professional IMC plan for the Building Wealth Initiative (BWI), an Inland Empire nonprofit organization specializing in financial literacy and services. The project uses focus groups and secondary research through informal online observations to gain the essential understanding for creating …

The Moderating Role Of Cost And Convenience On The Relationship In The Utaut Model To Adopt E- Payment Services, Essia Ries Ahmed, Brahim Zirari, Imane Tabet Derraz

Journal of International Technology and Information Management

Many emerging economies are on the brink of a major digital revolution as a result of the disruptive and game-changing wave of digitization that aims to create a financial ecosystem that will make the transition from a cash-based economy to a cashless (digital) economy the easiest way by making reliable and secure networks, Seamless payment solutions, ensuring large transactions at lightning speeds are a reality. Most studies using UTAUT are cross-sectional, capturing data at a single point in time. Longitudinal studies are needed to observe changes in behavioural intention and actual adoption of e-payment services over time, particularly in response …

Integrated Crop Recommendation System: Harnessing Machine Learning, Arun Kumar Reddy Saddikuti

Electronic Theses, Projects, and Dissertations

To meet the increasing demand, for food while also reducing impact this study introduces an innovative "Integrated Crop Recommendation System" that combines advanced machine learning with sustainable farming methods. The goal of this system is to transform how crops are chosen by considering factors like soil quality, local climate and habitats for pollinators thereby enhancing the precision and effectiveness of crop suggestions. In contrast to agricultural decision support systems that often neglect the interconnectedness of soil health, weather conditions and biodiversity, this new approach aims to improve food security and sustainability. The primary research focus is on optimizing practices that …

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 …

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 …

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 …

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 …

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 …

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 …

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 …

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 …

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. …

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 …

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 …

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 …

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 …

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 …

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 …

Media And Internet Censorship In India: A Study Of Its History And Political-Economy, Ramesh Subramanian

Journal of International Technology and Information Management

The Indian Constitution, which came into force on January 26, 1950, guarantees various fundamental rights, such as the freedom of speech and expression, freedom of religion, rights to form association, as well as rights to privacy. Yet, since the adoption of the Constitution, the Indian citizen has been subject to varying degrees of media censorship and surveillance. This paper seeks to delve into the historical evolution of media and Internet censorship and surveillance in India. It shows how media censorship of varying types have existed since the British colonists introduced restrictive laws in order to expand and control the native …

Activities Tailoring Within Agile Scrum Roles: A Case Of Nigerian Healthcare Information Systems Development, Yazidu Salihu, Julian Bass, Gloria Iyawa

Journal of International Technology and Information Management

Developing quality agile healthcare information systems requires understanding regulatory compliance and evolving healthcare needs through activities tailored within agile scrum roles. Agile scrum, a widely adopted philosophy, offers significant advantages in managing software development processes. This research explores how activities within the agile scrum roles are tailored to agile healthcare information systems development within the Nigerian context. This study adopted a qualitative case study methodology and interviewed 12 agile practitioners developing healthcare information systems within Nigeria using semi-structured open-ended interview guide questions. The practitioners were selected based on a snowballing process, a sunset of purposive sampling techniques from our network …

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 …

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, …

What Can We Learn From A Co-Creation Journey For A Quick Scan Digital Transformation Maturity Assessment Tool For Development Ngos?, Anand Sheombar

Journal of International Technology and Information Management

This paper describes the approach and lessons learned from a co-creation process with Dutch development NGOs to create a practical and easy-to-use assessment tool for practitioners to assess the organisation's maturity level of digital transformation. For this study, we applied a design science research methodology, specifically a six-step co-creation approach suitable for developing maturity models. The digital maturity assessment tool (quick scan) created is a domain- specific digital transformation maturity tool for development NGOs rather than a generally applicable tool. This artefact was evaluated using an eight-point Requirements framework for the development of digital maturity assessment tools. By developing a …

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 …

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 …

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 …