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Full-Text Articles in E-Commerce

Micro-Behavioral Analysis Of Online Shopping Patterns For Blind Users, Yash Prakash, Akshay Kolgar Nayak, Nithiya Venkatraman, Sampath Jayarathna, Hae-Na Lee, Vikas Ashok Jan 2026

Micro-Behavioral Analysis Of Online Shopping Patterns For Blind Users, Yash Prakash, Akshay Kolgar Nayak, Nithiya Venkatraman, Sampath Jayarathna, Hae-Na Lee, Vikas Ashok

Computer Science Faculty Publications

While online shopping platforms provide convenience and autonomy to blind users, their non-visual interactions remain underexplored at a micro-behavioral level. Existing studies have primarily emphasized accessibility and usability challenges but have overlooked how fine-grained, screen reader-driven keystroke-level behaviors reflect users’ cognitive strategies. In this paper, we present the findings of a longitudinal study with 25 blind participants to examine their micro-behavioral patterns, using keyboard activity and screen reader logs on both familiar and unfamiliar e-commerce websites. We complemented this study with semi-structured interviews to contextualize the uncovered micro-behavioral patterns. Our results revealed patterns in how blind users draw upon cognitive …

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Toward An Ecosystem Of Non-Fungible Tokens From Mapping Public Opinions On Social Media, Yunfei Xing, Justin Z. Zhang, Yuming He, Yueqi Li Jan 2025

Toward An Ecosystem Of Non-Fungible Tokens From Mapping Public Opinions On Social Media, Yunfei Xing, Justin Z. Zhang, Yuming He, Yueqi Li

Information Technology & Decision Sciences Faculty Publications

As blockchain technology advances, non-fungible tokens (NFTs) are emerging as unconventional assets in the commercial market. However, it is necessary to establish a comprehensive NFT ecosystem that addresses the prevailing public concerns. This study aimed to bridge this gap by analyzing user-generated content on prominent social media platforms such as Twitter, Weibo, and Reddit. Employing text clustering and topic modeling techniques, such as Latent Dirichlet Allocation, we constructed an analytical framework to delve into the intricacies of the NFT ecosystem. Our investigation revealed seven distinct topics from Twitter and Reddit data and eight topics from Weibo data. Weibo users predominantly …

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How Personalized Chatbots Win Customer Loyalty, Jaeha Lee, Dooyoung Choi Jan 2025

How Personalized Chatbots Win Customer Loyalty, Jaeha Lee, Dooyoung Choi

Educational Leadership & Workforce Development Faculty Publications

The study applies affordance theory to investigate how perceived personalization influences loyalty through cognitive, affective, and social drivers. Data was collected from 220 participants who watched a video of a chatbot interaction and then assessed their loyalty intentions. While all paths were significant between personalization and consumer’s willingness to stay, the effects of personalization on consumer’s willingness to recommend the retailers to others were slightly different. If companies aim to capitalize on word-of-mouth marketing, it will be better to prioritize cognitive and affective qualities of chatbot over social qualities, because the latter did not contribute significantly to word-of-mouth intentions about …

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Last-Minute Coordination: Adapting To Demand To Support Last-Mile Operations, Kedong Chen, Hung-Chung Su, Kevin Linderman, William Li Jan 2025

Last-Minute Coordination: Adapting To Demand To Support Last-Mile Operations, Kedong Chen, Hung-Chung Su, Kevin Linderman, William Li

Information Technology & Decision Sciences Faculty Publications

In the highly competitive e-commerce industry, customer-facing warehouses are crucial as the “order penetration points” for e-commerce last-mile operations. This research examines how warehouses use last-minute coordination, an unstructured mechanism, to ensure sufficient inventory at the order penetration points. Previous research has focused on structured mechanisms like contracts and inventory management systems to enhance warehouse performance. However, these mechanisms can be ineffective when faced with unforeseen local contingencies. To adjust inventory and adapt to changes in supply and/or demand, warehouses need to engage in unstructured, last-minute coordination with other warehouses. Using coordination and loose coupling theories, we find that coordinating …

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Service Guarantee Decision Of Online Service Providers And Market Implications, Aijun Lu, Fuzan Chen, Harris Wu Jan 2025

Service Guarantee Decision Of Online Service Providers And Market Implications, Aijun Lu, Fuzan Chen, Harris Wu

Information Technology & Decision Sciences Faculty Publications

Online services face quality uncertainties. To address user concerns, Online Service Providers (OSPs) sometimes provide service guarantees, compensating users if quality falls below a predefined threshold. This paper analyzes how OSPs use service guarantees to navigate market competition and enhance revenue through game theory and queuing theory models. Key findings include the following: offering guarantees enable OSPs to increase prices; in monopolistic markets, guarantees are offered only if the service guarantee strength is sufficient, whereas in competitive markets, decisions depend on relative strengths and competitor actions. Surprisingly, slower response times under service guarantees can boost profits, especially when resource costs …

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A Systematic Literature Review On Resilient Digital Transformation, Examining How Organizations Sustain Digital Capabilities, Thira Chavarnakul, Li Da Xu, Zhuming Bi, Achyut Shankar, Gaurav Dhiman, Wattana Viriyasitavat, Danupol Hoonsopon Jan 2025

A Systematic Literature Review On Resilient Digital Transformation, Examining How Organizations Sustain Digital Capabilities, Thira Chavarnakul, Li Da Xu, Zhuming Bi, Achyut Shankar, Gaurav Dhiman, Wattana Viriyasitavat, Danupol Hoonsopon

Information Technology & Decision Sciences Faculty Publications

In an era marked by relentless technological shifts and market volatility, digital transformation (DT) alone is insufficient. Organizations must develop Resilient Digital Transformation (RDT)—the organizational capabilities required to sustain DT over a medium-term horizon—to navigate these challenges effectively. This study primarily aims to propose a guideline for fostering RDT. Drawing on the PRISMA guidelines and a systematic review of 77 peer-reviewed papers, this study identifies and synthesizes key targets and drivers across three core pillars: Technology, Organization, and External Environment. These elements collectively foster organizational resilience. Specifically, this study highlights how adaptability, innovation, and scalability form the technological underpinnings of …

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The Past, Present, And Future Of Adaptive Selling: Toward An Integrative Framework, Nawar N. Chaker, Rhett T. Epler, Gabriel Moreno, Dana Amiri, Elizabeth G. Mcdougal Jan 2025

The Past, Present, And Future Of Adaptive Selling: Toward An Integrative Framework, Nawar N. Chaker, Rhett T. Epler, Gabriel Moreno, Dana Amiri, Elizabeth G. Mcdougal

Marketing Faculty Publications

Adaptive selling represents a notable and influential concept in the marketing literature. Despite being discussed in scholarly research and managerial practice for over forty years and mixed findings about its impact, a comprehensive understanding of the construct of adaptive selling remains missing. To remedy this critical knowledge gap, we conduct a comprehensive review of 188 articles across twenty-seven journals. We combine three approaches in our survey of the literature, including a systematic review, a main path analysis, and a bibliographic analysis. Together, this three-prong review offers profound insights into the state of adaptive selling research by (1) mapping the key …

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Adapting Online Customer Reviews For Blind Users: A Case Study Of Restaurant Reviews, Mohan Sunkara, Akshay Kolgar Nayak, Sandeep Kalari, Yash Prakash, Sampath Jayarathna, Hae-Na Lee, Vikas Ashok Jan 2025

Adapting Online Customer Reviews For Blind Users: A Case Study Of Restaurant Reviews, Mohan Sunkara, Akshay Kolgar Nayak, Sandeep Kalari, Yash Prakash, Sampath Jayarathna, Hae-Na Lee, Vikas Ashok

Computer Science Faculty Publications

Online reviews have become an integral aspect of consumer decision-making on e-commerce websites, especially in the restaurant industry. Unlike sighted users who can visually skim through the reviews, perusing reviews remains challenging for blind users, who rely on screen reader assistive technology that supports predominantly one-dimensional narration of content via keyboard shortcuts. In an interview study, we uncovered numerous pain points of blind screen reader users with online restaurant reviews, notably, the listening fatigue and frustration after going through only the first few reviews. To address these issues, we developed QuickCue assistive tool that performs aspect-focused sentiment-driven summarization to reorganize …

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Feeling Of Being Together In The Metaverse: Positive Influence Of Copresence On Subjective Well-Being, Do Yuon Kim, Dooyoung Choi, Namhee Yoon, Ha Kyung Lee Jan 2024

Feeling Of Being Together In The Metaverse: Positive Influence Of Copresence On Subjective Well-Being, Do Yuon Kim, Dooyoung Choi, Namhee Yoon, Ha Kyung Lee

STEMPS Faculty Publications

Applying the flow theory, this study examined how copresence improved the subjective well-being of users through flow and escapism. An online self-administered survey of 249 US adults who are currently using metaverse platforms is conducted. The collected data are analyzed by SPSS, AMOS and PROCESS. Findings suggest that the feeling of being together with other users in a metaverse can influence consumers’ satisfaction with their lives. Copresence in the metaverse specifically enhanced flow, which is being immersed in the experience; and escapism, which is avoiding unpleasant realities. Copresence and flow were found to improve the subjective well-being of metaverse users. …

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All In One Place: Ensuring Usable Access To Online Shopping Items For Blind Users, Yash Prakash, Akshay Kolgar Nayak, Mohan Sunkara, Sampath Jayarathna, Hae-Na Lee, Vikas Ashok Jan 2024

All In One Place: Ensuring Usable Access To Online Shopping Items For Blind Users, Yash Prakash, Akshay Kolgar Nayak, Mohan Sunkara, Sampath Jayarathna, Hae-Na Lee, Vikas Ashok

Computer Science Faculty Publications

Perusing web data items such as shopping products is a core online user activity. To prevent information overload, the content associated with data items is typically dispersed across multiple webpage sections over multiple web pages. However, such content distribution manifests an unintended side effect of significantly increasing the interaction burden for blind users, since navigating to-and-fro between different sections in different pages is tedious and cumbersome with their screen readers. While existing works have proposed methods for the context of a single webpage, solutions enabling usable access to content distributed across multiple webpages are few and far between. In this …

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Applicable Mitigation Strategies And Technology Propositions: Preventing Scamming In Marginalized Populations, Grace Nicole Sandhofer-Adams Apr 2023

Applicable Mitigation Strategies And Technology Propositions: Preventing Scamming In Marginalized Populations, Grace Nicole Sandhofer-Adams

Cybersecurity Undergraduate Research Showcase

This essay serves as a proposal for new technology and mitigation against the scamming of marginalized individuals (i.e., those over the age of 65). Research supports this outline, giving background to the types of scams, and prevention strategies currently seen in the cybersecurity landscape. It is evident that the methods we currently use to combat scamming attacks are not effective, therefore, I propose a new solution. This proposed telecommunications strategy is necessary to prevent scamming of all internet users, no matter the device. This telecommunication strategy would use artificial intelligence and machine learning to constantly improve its detection over time, …

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Protecting Low-Income Consumers In The Era Of Digital Grocery Shopping: Implications For Wic Online Ordering, Qi Zhang, Priyanka Patel, Caitlin M. Lowery Jan 2023

Protecting Low-Income Consumers In The Era Of Digital Grocery Shopping: Implications For Wic Online Ordering, Qi Zhang, Priyanka Patel, Caitlin M. Lowery

Community & Environmental Health Faculty Publications

The Special Supplemental Nutrition Program for Women, Infants, and Children (WIC) is now expected to allow participants to redeem their food benefits online, i.e., via online ordering, rather than only in-store. However, it is unclear how this new benefit redemption model may impact participants’ welfare since vendors may have an asymmetric information advantage compared with WIC customers. The WIC online ordering environment may also change the landscape for WIC vendors, which will eventually affect WIC participants. To protect WIC consumers’ rights in the new online ordering model, policymakers need an appropriate legal and regulatory framework. This narrative review provides that …

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A Systematic Review Of Marketing Practices Used In Online Grocery Shopping: Implications For Wic Online Ordering, Leslie Hodges, Caitlin M. Lowery, Priyanka Patel, Joleen Mcinnis, Qi Zhang Jan 2023

A Systematic Review Of Marketing Practices Used In Online Grocery Shopping: Implications For Wic Online Ordering, Leslie Hodges, Caitlin M. Lowery, Priyanka Patel, Joleen Mcinnis, Qi Zhang

Community & Environmental Health Faculty Publications

The Special Supplemental Nutrition Program for Women, Infants, and Children (WIC) plans to allow participants to redeem their food package benefits online, i.e., online ordering. As grocery shopping online has become more common, companies have developed strategies to market food products to customers using online (or mobile) grocery shopping platforms. There is a significant knowledge gap in how these strategies may influence WIC participants who choose to shop for WIC foods online. This review examines the relevant literature to (1) identify food marketing strategies used in online grocery shopping platforms, (2) understand how these strategies influence consumer behavior and consumer …

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Digital Platforms And Entrepreneurial Support: A Field Experiment In Online Mentoring, Saurabh A. Lall, Li-Wei Chen, Dyana P. Mason Jan 2023

Digital Platforms And Entrepreneurial Support: A Field Experiment In Online Mentoring, Saurabh A. Lall, Li-Wei Chen, Dyana P. Mason

Management Faculty Publications

The benefits of entrepreneurial mentorship are well documented, but there is limited research on how entrepreneurs connect with mentors, especially in digital settings. We partnered with an online platform that connects entrepreneurs to potential mentors to conduct a field experiment in online mentoring. Drawing on literature on entrepreneurial mentorship and Social Cognitive Theory, we compared the effects of three interventions on the likelihood of reaching out and making a connection with a mentor in a digital setting. We find that showing entrepreneurs a video of a successful mentor–mentee relationship increases the chances that they will reach out to a potential …

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Fake Review Detection, Michael Husk, Faryaneh Poursardar (Mentor) Jan 2022

Fake Review Detection, Michael Husk, Faryaneh Poursardar (Mentor)

Computer & Information Science: Research Experiences for Undergraduates in Disinformation Detection and Analytics

No abstract provided.

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Launch Editorial, Jindong Qin, Xiaofang Chen, Lida Xu Jan 2022

Launch Editorial, Jindong Qin, Xiaofang Chen, Lida Xu

Information Technology & Decision Sciences Faculty Publications

The digital economy is first and foremost a data economy, and data is the first element of the digital economy. Management System Engineering (MSE) is dedicated to the methodology of System Engineering (SE) and the practice of Management Decision Making. The digital economy is a network economy, and the Internet is the basic carrier of the digital economy. [Extracted from the article]

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Blockchain-Based Digital Trust Mechanism: A Use Case Of Cloud Manufacturing Of Lds Syringes For Covid-19 Vaccination, Trupti Rane, Jingwei Huang Jan 2022

Blockchain-Based Digital Trust Mechanism: A Use Case Of Cloud Manufacturing Of Lds Syringes For Covid-19 Vaccination, Trupti Rane, Jingwei Huang

Engineering Management & Systems Engineering Faculty Publications

Trust is essential in the digital world. It is a critical task to build digital trust for the ongoing digital engineering transformation. Aiming at developing a blockchain-based digital trust mechanism for Cloud Manufacturing or Manufacturing-as-a-Service (MaaS), in this paper, we use the manufacturing of low dead space (LDS) medical syringes through Cloud Manufacturing as a motivating scenario to develop a basic framework. To meet the need of optimally saving COVID-19 vaccine doses to save more lives, the medical device manufacturing community needs to make a swift move to meet the surged need for LDS syringes. Cloud Manufacturing is a form …

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The Way Digitalization Is Impacting International Financial Markets: Stock Price Synchronicity, Chen Chen, M. Mahdi Moeini Gharagozloo, Layla Darougar, Lei Shi Jan 2022

The Way Digitalization Is Impacting International Financial Markets: Stock Price Synchronicity, Chen Chen, M. Mahdi Moeini Gharagozloo, Layla Darougar, Lei Shi

Finance Faculty Publications

This paper investigates whether and how the development level of a country's digital economy affects stock price synchronicity. The results indicate that countries with high levels of digital economy development exhibit low stock price synchronicity. Additionally, by decomposing stock price synchronicity into systematic and firm‐specific stock return variations, we find that systematic (firm‐specific) variations of stock returns decrease (increase) with the level of a country's digitalization. These findings shed light on the future trend of stock price synchronicity in financial markets around the world and support the information‐based interpretation of stock price synchronicity.

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Collecting Samples From Online Services: How To Use Screeners To Improve Data Quality, Aaron D. Arndt, John B. Ford, Barry J. Babin, Vinh Luong Jan 2022

Collecting Samples From Online Services: How To Use Screeners To Improve Data Quality, Aaron D. Arndt, John B. Ford, Barry J. Babin, Vinh Luong

Marketing Faculty Publications

Increasingly, marketing and consumer researchers rely on online data collection services. While actively-managed data collection services directly assist with the sampling process, minimally-managed data collection services, such as Amazon’s Mechanical Turk (MTurk), leave researchers solely responsible for recruiting, screening, cleaning, and evaluating responses. The research reported here proposes a 2 × 2 framework based on sampling goal and methodology for screening and evaluating the quality of online samples. By sampling goals, screeners can be categorized as selection, which involves matching the sample with the targeted population; or as accuracy, which involves ensuring that participants are appropriately attentive. By …

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Global Value Chain Embeddedness, Digital Economy And Green Innovation- Evidence From Provincial-Level Regions Of China, Hui Pan, Ji Yang, Haiyang Zhou, Xianrong Zheng, Feng Hu Jan 2022

Global Value Chain Embeddedness, Digital Economy And Green Innovation- Evidence From Provincial-Level Regions Of China, Hui Pan, Ji Yang, Haiyang Zhou, Xianrong Zheng, Feng Hu

Information Technology & Decision Sciences Faculty Publications

With globalization and digitalization, participating in Global Value Chain (GVC) and developing digital economy have had a profound impact, which transforms China’s economy into a green and innovative one. This paper studies the intrinsic influential mechanism of GVC embeddedness and digital economy on green innovation and proposes some research hypotheses. Based on panel data of 30 Chinese provinces from 2002 to 2016, we constructed some core indicators such as GVC embeddedness, digital economy and green innovation. The ordinary panel model and spatial panel model are used to empirically test the impact of GVC embeddedness and digital economy on China’s green …

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Artists As Assets: Labor And Capital In The Unity Asset Store, D'An Knowles Ball Jan 2022

Artists As Assets: Labor And Capital In The Unity Asset Store, D'An Knowles Ball

English Faculty Publications

The Unity Asset Store sells amateur designers and artists a promise of being able to participate in an idealized, rationalized vision of how the game design industry operates. However, the Unity Asset Store depends on marketing the content created by amateur artists in ways that require the artists to essentially package their work as labor and to mask their role as artists. This essay views labor and capital in the Unity Asset Store through a Marxist lens, informed by Kline, Dyer-Witheford, and de Peuter's (2003) model of technological, cultural, and marketing forces as "three circuits of interactivity" in the mediatized …

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The Effect Of Touch Simulation In Virtual Reality Shopping, Ha Kyung Lee, Namhee Yoon, Dooyoung Choi Jan 2022

The Effect Of Touch Simulation In Virtual Reality Shopping, Ha Kyung Lee, Namhee Yoon, Dooyoung Choi

STEMPS Faculty Publications

This study aims to explore the effect of touch simulation on virtual reality (VR) store satisfaction mediated by VR shopping self-efficacy and VR shopping pleasure. The moderation effects of the autotelic and instrumental need for touch between touch simulation and VR store satisfaction are also explored. Participants wear a head-mounted display VR device (Oculus Go) in a controlled laboratory environment, and their VR store experience is recorded as data. All participants’ responses (n = 58) are analyzed using SPSS 20.0 for descriptive statistics, reliability analysis, exploratory factor analysis, and the Process macro model analysis. The results show that touch simulation …

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Leveraging Maching Learning In Financial Fraud Forensics In The Age Of Cybersecurity, Md. Ariful Haque, Sachin Shetty Jan 2022

Leveraging Maching Learning In Financial Fraud Forensics In The Age Of Cybersecurity, Md. Ariful Haque, Sachin Shetty

VMASC Publications

Financial sectors are lucrative cyber-attack targets because of their immediate financial gain. As a result, financial institutions face challenges in developing systems that can automatically identify security breaches and separate fraudulent transactions from legitimate transactions. Today, organizations widely use machine learning techniques to identify any fraudulent behavior in customers' transactions. However, machine learning techniques are often challenging because of financial institutions' confidentiality policy, leading to not sharing the customer transaction data. This chapter discusses some crucial challenges of handling cybersecurity and fraud in the financial industry and building machine learning-based models to address those challenges. The authors utilize an open-source …

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Civiic: Cybercrime In Virginia: Impacts On Industry And Citizens Final Report, Randy Gainey, Tancy Vandecar-Burdin, Jay Albanese, Thomas Dearden, James Hawdon, Katalin Parti Jan 2022

Civiic: Cybercrime In Virginia: Impacts On Industry And Citizens Final Report, Randy Gainey, Tancy Vandecar-Burdin, Jay Albanese, Thomas Dearden, James Hawdon, Katalin Parti

Sociology & Criminal Justice Faculty Publications

[First paragraph] Victimization from cybercrime is a major concern in Virginia, the US, and the world. As individuals and businesses spend more time online, it becomes increasingly important to understand cybercrime and how to protect against it. Such an understanding is dependent on valid and reliable baseline data that identifies the specific nature, extent, and outcomes of cybercrime activity. A better understanding of cybercrime activity is needed to target and prevent it more effectively, minimize its consequences, and provide support for both individual and corporate victims. Before that can occur, however, better baseline data are required, and this project was …

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Ready Raider One: Exploring The Misuse Of Cloud Gaming Services, Guannan Liu, Daiping Liu, Shuai Hao, Xing Gao, Kun Sun, Haining Wang Jan 2022

Ready Raider One: Exploring The Misuse Of Cloud Gaming Services, Guannan Liu, Daiping Liu, Shuai Hao, Xing Gao, Kun Sun, Haining Wang

Computer Science Faculty Publications

Cloud gaming has become an emerging computing paradigm in recent years, allowing computer games to offload complex graphics and logic computation to the cloud. To deliver a smooth and high-quality gaming experience, cloud gaming services have invested abundant computing resources in the cloud, including adequate CPUs, top-tier GPUs, and high-bandwidth Internet connections. Unfortunately, the abundant computing resources offered by cloud gaming are vulnerable to misuse and exploitation for malicious purposes. In this paper, we present an in-depth study on security vulnerabilities in cloud gaming services. Specifically, we reveal that adversaries can purposely inject malicious programs/URLs into the cloud gaming services …

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Measurement Study Of Energy Impact On Blockchain Technologies: Cryptocurrency Mining, Qaylin Holliman Jan 2021

Measurement Study Of Energy Impact On Blockchain Technologies: Cryptocurrency Mining, Qaylin Holliman

Cybersecurity: Deep Learning Driven Cybersecurity Research in a Multidisciplinary Environment

Blockchain technology facilitates the flow of information and the speed of information through a faster and more decentralized network. It has its advantages as compared to more centralized networks and legacy networks. With the evolution of mainstream technology, blockchains is predicted to be more effective and sufficient to consumers and commercial companies. In this paper, blockchains will be scaled to cryptocurrency mining, where cryptocurrencies utilize blockchain technology to record transactions and orders. Mining will also be examined through energy consumption, the algorithms behind some cryptocurrencies, their sustainability issue, and resolutions to combat high energy consumption. While the pace of energy …

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A Monte-Carlo Analysis Of Monetary Impact Of Mega Data Breaches, Mustafa Canan, Omer Ilker Poyraz, Anthony Akil Jan 2021

A Monte-Carlo Analysis Of Monetary Impact Of Mega Data Breaches, Mustafa Canan, Omer Ilker Poyraz, Anthony Akil

Engineering Management & Systems Engineering Faculty Publications

The monetary impact of mega data breaches has been a significant concern for enterprises. The study of data breach risk assessment is a necessity for organizations to have effective cybersecurity risk management. Due to the lack of available data, it is not easy to obtain a comprehensive understanding of the interactions among factors that affect the cost of mega data breaches. The Monte Carlo analysis results were used to explicate the interactions among independent variables and emerging patterns in the variation of the total data breach cost. The findings of this study are as follows: The total data breach cost …

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Identity Authentication Security Management In Mobile Payment Systems, Feng Wang, Ge Bao Shan, Yong Chen, Xianrong Zheng, Hong Wang, Sun Mingwei, Li Haihua Jan 2020

Identity Authentication Security Management In Mobile Payment Systems, Feng Wang, Ge Bao Shan, Yong Chen, Xianrong Zheng, Hong Wang, Sun Mingwei, Li Haihua

Information Technology & Decision Sciences Faculty Publications

Mobile payment is a new payment method offering users mobility, reachability, compatibility, and convenience. But mobile payment involves great uncertainty and risk given its electronic and wireless nature. Therefore, biometric authentication has been adopted widely in mobile payment in recent years. However, although technology requirements for secure mobile payment have been met, standards and consistent requirements of user authentication in mobile payment are not available. The flow management of user authentication in mobile payment is still at its early stage. Accordingly, this paper proposes an anonymous authentication and management flow for mobile payment to support secure transaction to prevent the …

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Studying The Effects Of The Skewness Of Inter-Arrival And Service Times On The Probability Distribution Of Waiting Times, Rodrigo Romero-Silva, Sabry Shaaban, Erika Marsillac, Margarita Hurtado-Hernandez Jan 2020

Studying The Effects Of The Skewness Of Inter-Arrival And Service Times On The Probability Distribution Of Waiting Times, Rodrigo Romero-Silva, Sabry Shaaban, Erika Marsillac, Margarita Hurtado-Hernandez

Information Technology & Decision Sciences Faculty Publications

Previous studies have shown that the mean queue length of a GI/G/1 system is significantly influenced by the skewness of inter-arrival times, but not by the skewness of service times. These results are limited because all the distributions considered in previous studies were positively skewed. To address this limitation, this paper investigates the effects of the skewness of inter-arrival and service times on the probability distribution of waiting times, when a negatively skewed distribution is used to model inter-arrival and service times. Subsequent to a series of experiments on a GI/G/1 queue using discrete-event simulation, results have shown that the …

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Trust, Perceived Benefit, And Purchase Intention In C2c E-Commerce: An Empirical Examination In China, Shukuan Zhao, Yiwen Fang, Weiyong Zhang, Hong Jiang Jan 2020

Trust, Perceived Benefit, And Purchase Intention In C2c E-Commerce: An Empirical Examination In China, Shukuan Zhao, Yiwen Fang, Weiyong Zhang, Hong Jiang

Information Technology & Decision Sciences Faculty Publications

It is a class research question about how trust and perceived benefit affect consumers' purchase intentions. This research examines the relationship in a very different context: consumer-to-consumer (C2C) e-commerce in China. Specifically, this research empirically assesses the differences in effect size due to the change of context. First, a theoretical model linking trust, perceived benefit, and their antecedents to purchase intention is developed upon the literature. Then the model is evaluated using empirical data collected at Taobao, the largest C2C e-commerce website in China. Partial least squares based structural equation modeling (PLS-SEM) results strongly support the model and research hypotheses. …

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