Management Information Systems Commons^™

Education Crowdfunding Success: Studies On Information Asymmetry And Information Overload In Online Platforms, Mingyan Xu

Dissertations, Theses, and Capstone Projects

Online education crowdfunding attracts public school teachers with its enormous outsourcing opportunities, but its success is constantly challenged by information asymmetry and information overload. To assist the teachers in successfully collecting teaching funds in crowdfunding, three studies are conducted to address the two challenges.

Information asymmetry exists between the fundraising teachers and the potential donors and challenges the education crowdfunding success. Virtual communication setting of online context further exacerbates this issue. Following signaling theory, it is critical for the informed teachers to create and send quality signals to the less-informed donors to enhance communication and establish mutual understanding. To understand …

Faids: Artificial Intelligence Developmental Systems Framework For Predicting And Preventing Cyberattacks In Supply Chain Networks, Lordt Becklines

Research & Publications

Cyber threats and attacks disrupt and damages supply chain networks (SCNs), which are complex and interlinked. Current methods to predict and prevent cyberattacks are inadequate and ineffective. This research proposes an AI developmental systems framework (FAIDS) to protect SCNs from cyberattacks. The framework has four components: (1) an AI threat intelligence system; (2) an AI risk assessment system; (3) an AI decision support system; and (4) an AI learning and adaptation system. The framework is tested on a simulated retail SCN. The results show that the framework can predict and prevent cyberattacks and improve the network's resilience and security. The …

Privacy Perceptions On Personal Data And Data Breaches In South Africa, Phillip Nyoni, Mthulisi Velempini, Nehemiah Mavetera

The African Journal of Information Systems

Research shows that data breaches often occur when organizations fail to protect users’ personal data sufficiently well. Many devices are connected to the Internet such as mobile phones, smart cars, wearables and ‘Things’ which increase the number of potential entry points into data stores. This paper discusses the potential data privacy risks that users face online. The study used online content analysis and surveys to establish the privacy perceptions of users and trends of data breaches in South Africa. The findings reveal that users have a positive perception of data managers and view them as knowledgeable in data protection. Nevertheless, …

Central Tracking And Billing System For Insurance Bills, Kehinde Alabi

Harrisburg University Dissertations and Theses

In this article, we introduce a new centralized billing platform designed for insurance bills including auto insurance, health insurance, home insurance, life insurance, etc. This system consolidates all bills for individual users eliminating the need for them to manage and pay bills separately. Users stand to benefit from significant time and effort savings each month, reducing the likelihood of missed payments and associated late fees. Insurance billing organizations and banks can also capitalize on timely payments and reduced physical mailings, leading to cost savings and environmental benefits. The proposed system offers users the ability to track and review their historical …

Macrohft : Memory Augmented Context-Aware Reinforcement Learning On High Frequency Trading, Chuqiao Zong, Chaojie Wang, Molei Qin, Lei Feng, Xinrun Wang, Xinrun Wang

Research Collection School Of Computing and Information Systems

High-frequency trading (HFT) that executes algorithmic trading in short time scales, has recently occupied the majority of cryptocurrency market. Besides traditional quantitative trading methods, reinforcement learning (RL) has become another appealing approach for HFT due to its terrific ability of handling high-dimensional financial data and solving sophisticated sequential decision-making problems, e.g., hierarchical reinforcement learning (HRL) has shown its promising performance on second-level HFT by training a router to select only one sub-agent from the agent pool to execute the current transaction. However, existing RL methods for HFT still have some defects: 1) standard RL-based trading agents suffer from the overfitting …

Gamification In Erp Systems: A Study On Intrinsic Motivation And User Behavioral Intentions, Esi Adeborna, Fiona Fui-Hoon Nah, Luvai Motiwalla

Research Collection School Of Computing and Information Systems

In the evolving landscape of Enterprise Resource Planning (ERP) systems, integrating gamification shows promise for enhancing user training and education. However, empirical research on gamification's effect on intrinsic motivation in using ERP is limited. Hence, we examined the intrinsic motivational effects of a gamified ERP environment in this research. We created a Gamified Web Application linked to SAP ERP to investigate how gamification affects users' behavioral intention. Leveraging self-determination theory, we examined the influence of perceived competence, autonomy, and relatedness on usage intent. In a controlled experiment with 63 participants, data collected via survey revealed that gamification enhances perceived competence, …

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 …

The Impact Of Algorithmic Control And Algorithmic Management In Online Labor Platforms, Yaping Zhu

Graduate Theses and Dissertations

Online labor platforms (OLPs) are transforming the way organizations operate and how people work. Platform work has been characterized as promoting autonomy and flexibility. Workers interact with a platform rather than human managers to accomplish tasks and they have the freedom to decide when, where, and how much to work. Yet, platform workers increasingly bemoan working conditions, revealing that the expected autonomy and flexibility benefits of platform work have not materialized. Current IS research sheds light on this phenomenon by explaining that platform organizations use algorithms to manage and control workers (i.e., algorithmic control). Yet, our understanding of how algorithmic …

Value Of Transportation Information Systems: Implications Of Digital Platforms, Third-Party Forecasting, And Advanced Driver-Assistance Systems, Ali Shirzadibabakan

All Dissertations

This three-essay dissertation focuses on understanding the impacts of IT, or IT enabled business models, on transportation and supply chains. Specifically, it empirically examines the market and societal implications of digital freight platforms, third-party forecasting, and cyber-physical systems in the transportation and supply chain sectors. Leveraging the entry of the Amazon Freight platform into the trucking freight industry as an exogenous shock, the first essay finds that adding a digital platform-enabled spot marketplace addresses the prevalent problem of the performance (rejection) of nonbinding contracts in the trucking industry. Specifically, the platform’s effect manifests through two primary mechanisms: increasing suppliers’ transportation …

A Multimodal Foundation Agent For Financial Trading : Tool-Augmented, Diversified, And Generalist, Wentao Zhang, Lingxuan Zhao, Haochong Xia, Shuo Sun, Jiaze Sun, Molei Qin, Xinyi Li, Yuqing Zhao, Yilei Zhao, Xinyu Cai, Longtao Zheng, Xinrun Wang, Bo An

Research Collection School Of Computing and Information Systems

Financial trading is a crucial component of the markets, informed by a multimodal information landscape encompassing news, prices, and Kline charts, and encompasses diverse tasks such as quantitative trading and high-frequency trading with various assets. While advanced AI techniques like deep learning and reinforcement learning are extensively utilized in finance, their application in financial trading tasks often faces challenges due to inadequate handling of multimodal data and limited generalizability across various tasks. To address these challenges, we present FinAgent, a multimodal foundational agent with tool augmentation for financial trading. FinAgent's market intelligence module processes a diverse range of data-numerical, textual, …

Seeking Guidance For Firms’ It Infrastructure Decisions: Twoempirical Studies, Jacob Yates

Graduate Theses and Dissertations

This dissertation explores the complexities of firms' IT infrastructure resource allocation decisions through two essays. The research utilizes extensive datasets and advanced statistical methods to provide nuanced insights into strategic IT decisions. Essay one examines the performance implications of mirroring the IT infrastructure resource allocation decisions of various leading firms, including leading IT firms (identified by InformationWeek), industry firms (based on performance), and business strategy firms (based on performance) through the lens of mimetic isomorphism. Findings indicate that lower IT infrastructure intensity generally leads to higher future performance, suggesting IT infrastructure could also be viewed as an expense (whereas prior …

A Model Of Information Visualization Interpretation, Michael Gene Hilgers

Business and Information Technology Faculty Research & Creative Works

Since the groundbreaking work by Cleveland and McGill in 1984, studies have revealed the difficulties humans have extracting quantitative data from visualizations as simple as bar graphs. As a first step toward understanding this situation, this paper proposes a mathematical model of the interpretation effort of a bar graph using concepts drawn from eye tracking. First, three key areas of interest (AOIs) are identified, and fixations are modeled as random point clouds within the AOIs. Stochastic geometry is introduced via random triangles connecting fixations within the adjacent key visual regions. The so-called landmark methodology provides the basis for the probabilistic …

Organizational Control And Technological Capabilities: The Moderating Role Of Family Influence On The Firm, Sean Leahy

Dissertations

This dissertation examines the influence of organizational controls on technological capabilities in privately owned U.S. corporations, with a specific focus on family-owned businesses. The primary objective of the study was to investigate how formal controls (process and outcome) and clan controls (informal practices) impact technological innovation and competence. Using a quantitative approach, data were collected from 177 individuals and analyzed through partial least squares structural equation modeling (PLS-SEM) path analysis. The findings indicate a significant relationship between formal controls and technological capabilities. However, the interaction of family influence on this dynamic was not supported. Results also revealed a robust association …

Using Gamification To Enhance Mastery Of Network Security Concepts, Kevin Hilliard, Xiaohong Yuan, Kelvin Bryant, Jinsheng Xu, Jinghua Zhang

Journal of Cybersecurity Education, Research and Practice

Gamification has proven to be effective in engaging and encouraging people to work towards and achieve goals. Many students struggle to focus on schoolwork, due to a lack of interest, lack of understanding, or other factors unique to the student. Applying gamification elements to education can help engage these students in learning their course material and help them excel academically. This study examines the effectiveness of using gamification techniques to enhance the learning experience in college Computer Science courses. A video game application is utilized to review and reinforce cybersecurity concepts that students have already been taught in class. Previous …

Digital Transformation And Wise Leadership: Challenges And Opportunities Evidence From Government Institutions In Uae, Mohammad Al Qudah

Journal of Police and Legal Sciences

Purpose: the current study aimed at highlighting challenges and opportunities associated with digital transformation (DT) and the influence of these challenges and opportunities in wise leadership. Aspects taken into perspective included (decision-making, communication and collaboration, innovation, employee empowerment and ethical considerations).

Methodology: the study adopted the quantitative methodology through utilizing a questionnaire. The questionnaire was self-administered by (223) individuals from UAE governmental institutions. Statistical package for social sciences (SPSS) was employed in order to answer the study main questions and realize the hypotheses.

Results: Study indicated that adopting DT through the UAE governmental institutions is basically exposed to many challenges …

A Reviews Of Women's Outfit E-Commerce Models Using Feature Selection Techniques, Hadeer Mohamed Bekhet, Mona Nasr, Rasha Elnaggar

Future Computing and Informatics Journal

The rapid growth of e-commerce has transformed how consumers shop for fashion, including women's outfits. This study presents a comprehensive evaluation of women's outfit e-commerce models through the lens of feature selection technique. understanding customer sentiments is critical in today's marketing landscape, it provides firms with insights into how customers perceive their products and/or services and offers suggestions on how to enhance their offerings. This study aims to decipher the relationship between various characteristics in customer reviews on a women's clothing e-commerce site. Additionally, it classifies each review to determine whether it recommends the reviewed product or not, and whether …

Configurable Mirror Descent : Towards A Unification Of Decision Making, Pengdeng Li, Shuxin Li, Chang Yang, Xinrun Wang, Hau Chan, Bo An

Research Collection School Of Computing and Information Systems

Decision-making problems, categorized as single-agent, e.g., Atari, cooperative multi-agent, e.g., Hanabi, competitive multi-agent, e.g., Hold’em poker, and mixed cooperative and competitive, e.g., football, are ubiquitous in the real world. Although various methods have been proposed to address the specific decision-making categories, these methods typically evolve independently and cannot generalize to other categories. Therefore, a fundamental question for decision-making is: Can we develop a single algorithm to tackle ALL categories of decision-making problems? There are several main challenges to address this question: i) different decision-making categories involve different numbers of agents and different relationships between agents, ii) different categories have different …

Development Of Cyber Security Platform For Experiential Learning, Abhishek Vaish, Ravindra Kumar, Samo Bobek, Simona Sternad

Journal of Cybersecurity Education, Research and Practice

The cyber security education market has grown-up exponentially, with a CAGR of 13.9 % as reported by Data Intelo. The report published by the World Economic Fo- rum 2023 indicates a shortfall of 2.27 million cyber security experts in 2021 across different roles and hence manifest that Skill-based cyber security education is the need of the hour. Cybersecurity as a field has evolved as a multi-discipline, multi-stakeholder and multi-role discipline. Therefore, the need to address formal education with an outcome-based philosophy is imperative to address for a wider audience with varied past training in their formal education. With the Internet …

Trust, Risk, Privacy And Security In E-Government Use: Insights From A Masem Analysis, Parul Gupta, Apeksha Hooda, Anand Jeyaraj, Jonathan J.M. Seddon, Yogesh K. Dwivedi

Management Information Systems Faculty Publications

Despite considerable research on the factors influencing the use of e-government, citizens are apprehensive of e-government services due to the concerns primarily related to trust, risk, security and privacy. This study presents a meta-analytic structural equation modeling (MASEM) analysis of the findings reported by 68 prior empirical studies on e-government adoption. Specifically, the model examined the direct effects of trust in government, trust in internet, perceived risk, and perceived privacy and security on e-government trust, and its impact on users’ behavioral intention to use e-government. The findings bear significant theoretical and practical implications.

Exploring The Impact Of Artificial Intelligence On Project Management Across The Manufacturing, Technology, And Construction Industries, Susie Diaz Ferrera

Harrisburg University Dissertations and Theses

This study explores the impact of Artificial Intelligence (AI) on project management across the manufacturing, technology, and construction industries. The research focuses on understanding the benefits, challenges, and long-term implications of AI utilization in these sectors. Key findings indicate that 46% of participants use AI mainly for task automation and enhancing functions like brainstorming and communication, which significantly boosts efficiency and team productivity. Despite these benefits, the research identifies several obstacles, including high initial costs, inadequate training, technical issues, and unclear regulatory guidelines. The study addresses four main questions, revealing that AI not only enhances project management processes but also …