Activity Based Traffic Indicator System For Monitoring The Covid-19 Pandemic,
2021
Ateneo de Manila University
Activity Based Traffic Indicator System For Monitoring The Covid-19 Pandemic, Justin Junsay, Aaron Joaquin Lebumfacil, Ivan George Tarun, William Emmanuel S. Yu
Department of Information Systems & Computer Science Faculty Publications
This study describes an activity based traffic indicator system to provide information for COVID-19 pandemic management. The activity based traffic indicator system does this by utilizing a social probability model based on the birthday paradox to determine the exposure risk, the probability of meeting someone infected (PoMSI). COVID-19 data, particularly the 7-day moving average of the daily growth rate of cases (7-DMA of DGR) and cumulative confirmed cases of next week covering a period from April to September 2020, were then used to test PoMSI using Pearson correlation to verify whether it can be used as a factor for the …
Mobile Commerce, Crowd Commerce, And Stage Models: Reviewing And Expanding On Tp Liang’S Research,
2021
Singapore Management University
Mobile Commerce, Crowd Commerce, And Stage Models: Reviewing And Expanding On Tp Liang’S Research, Sihua Chen, Mikko Siponen, Wael Soliman, Cao Xin, Keng Siau
Research Collection School Of Computing and Information Systems
In this paper, we review a few key themes of Ting-Peng (TP) Liang’s research. We first discuss some of his major contributions to information systems (IS) in the areas of electronic commerce, mobile commerce, and crowd commerce. Future research directions for these three themes are also discussed in the paper. TP Liang is also an early proponent of stage models although this stream of research has yet to receive the importance it deserves in the IS community. Previous seminal theoretical accounts in IS have generally separated variance and process models, the latter is useful in modeling changes in the explanatory …
Proxy-Free Privacy-Preserving Task Matching With Efficient Revocation In Crowdsourcing,
2021
Singapore Management University
Proxy-Free Privacy-Preserving Task Matching With Efficient Revocation In Crowdsourcing, Jiangang Shu, Kan Yang, Xiaohua Jia, Ximeng Liu, Cong Wang, Robert H. Deng
Research Collection School Of Computing and Information Systems
Task matching in crowdsourcing has been extensively explored with the increasing popularity of crowdsourcing. However, privacy of tasks and workers is usually ignored in most of exiting solutions. In this paper, we study the problem of privacy-preserving task matching for crowdsourcing with multiple requesters and multiple workers. Instead of utilizing proxy re-encryption, we propose a proxy-free task matching scheme for multi-requester/multi-worker crowdsourcing, which achieves task-worker matching over encrypted data with scalability and non-interaction. We further design two different mechanisms for worker revocation including ServerLocal Revocation (SLR) and Global Revocation (GR), which realize efficient worker revocation with minimal overhead on the …
Adversarial Specification Mining,
2021
Singapore Management University
Adversarial Specification Mining, Hong Jin Kang, David Lo
Research Collection School Of Computing and Information Systems
There have been numerous studies on mining temporal specifications from execution traces. These approaches learn finite-state automata (FSA) from execution traces when running tests. To learn accurate specifications of a software system, many tests are required. Existing approaches generalize from a limited number of traces or use simple test generation strategies. Unfortunately, these strategies may not exercise uncommon usage patterns of a software system. To address this problem, we propose a new approach, adversarial specification mining, and develop a prototype, DICE (Diversity through Counter-Examples). DICE has two components: DICE-Tester and DICE-Miner. After mining Linear Temporal Logic specifications from an input …
Novel Techniques In Recovering, Embedding, And Enforcing Policies For Control-Flow Integrity,
2021
Singapore Management University
Novel Techniques In Recovering, Embedding, And Enforcing Policies For Control-Flow Integrity, Yan Lin
Dissertations and Theses Collection (Open Access)
Control-Flow Integrity (CFI) is an attractive security property with which most injected and code-reuse attacks can be defeated, including advanced attacking techniques like Return-Oriented Programming (ROP). CFI extracts a control-flow graph (CFG) for a given program and instruments the program to respect the CFG. Specifically, checks are inserted before indirect branch instructions. Before these instructions are executed during runtime, the checks consult the CFG to ensure that the indirect branch is allowed to reach the intended target. Hence, any sort of controlflow hijacking would be prevented. There are three fundamental components in CFI enforcement. The first component is accurately recovering …
Leadership Strategies For Implementing Telemedicine Technology In Rural Hospitals To Improve Profitability,
2021
Walden University
Leadership Strategies For Implementing Telemedicine Technology In Rural Hospitals To Improve Profitability, Chikezie Ralph Waturuocha
Walden Dissertations and Doctoral Studies
Ineffective leadership strategies can negatively impact telemedicine technology implementation in rural hospitals, which may hinder profitability. Rural hospital administrators who struggle to implement telemedicine technology for improved profitability are at high risk of experiencing patient health outcomes failure. Grounded in the technology acceptance model, the purpose of this qualitative single case study was to explore leadership strategies rural hospital leaders use to implement telemedicine technology to improve profitability. The participants were five health care administrators of a rural hospital in a Midwest U.S. state who successfully implemented telemedicine technology to improve profitability. Sources for data collection were semistructured interviews and …
Information Technology Resources For Precision Medicine,
2021
Walden University
Information Technology Resources For Precision Medicine, Nicholas L. Bertram
Walden Dissertations and Doctoral Studies
Healthcare delivery organizations have an opportunity to use insights from the emerging field of precision medicine to improve the quality of patient care; however, information technology resources to fully enable precision medicine are lacking. The specific problem was that people have limited information to use when making decisions regarding information technology resources for precision medicine in healthcare delivery organizations given the emerging state of precision medicine. The purpose of this Delphi study was to determine how a panel of precision medicine information technology experts view information technology resource importance and feasibility for precision medicine in healthcare delivery organizations. The research …
Exploring The Value Of Technology Within Cross-Departmental Communications,
2021
Walden University
Exploring The Value Of Technology Within Cross-Departmental Communications, Brian J. Luckey
Walden Dissertations and Doctoral Studies
While many midsized businesses have invested in technology to support business operations, most have not realized the potential value of using technology to collaborate cross-departmentally. There is a lack of knowledge concerning strategies for using technology to facilitate effective organizational communications, which has resulted in operating technology investments being made without corresponding investments in communication technologies. The purpose of this qualitative case study was to fill the knowledge gap concerning the impact of technology for cross-departmental communications. The theoretical foundation for this study was based on systems theory, organizational theory, and stakeholder theory. The key research question involved the impact …
Insider Threats' Behaviors And Data Security Management Strategies,
2021
Walden University
Insider Threats' Behaviors And Data Security Management Strategies, Gladys C. Cooley
Walden Dissertations and Doctoral Studies
As insider threats and data security management concerns become more prevalent, the identification of risky behaviors in the workplace is crucial for the privacy of individuals and the survival of organizations. The purpose of this three-round qualitative Delphi study was to identify real-time consensus among 25 information technology (IT) subject matter experts (SMEs) in the Washington metropolitan area about insider threats and data security management. The SMEs participating in this study were adult IT professionals and senior managers with certification in their area of specialization and at least 5 years of practical experience. The dark triad theory was the conceptual …
The Digitization Of Court Processes In African Regional And Subregional Judicial Institutions,
2021
Walden University
The Digitization Of Court Processes In African Regional And Subregional Judicial Institutions, Frederic Drabo
Walden Dissertations and Doctoral Studies
Despite information technology (IT) officers’ multiple efforts to develop reliable and efficient electronic justice (e-justice) systems, digitizing court processes still presents several quality challenges associated with IT infrastructure and literacy issues. Grounded in the principles of total quality management, the purpose of this qualitative multiple case study was to identify strategies and best practices IT officers in African regional economic communities (REC) use for digitizing regional and subregional court processes to improve African e-justice systems. The participants included four IT officers working as assistant computer system analysts (ACSA), computer system analysts (CSA), and heads of IT (HIT) in regional and …
A Multicase Study Of Critical Success Factors Of Self-Service Business Intelligence Initiatives,
2021
Walden University
A Multicase Study Of Critical Success Factors Of Self-Service Business Intelligence Initiatives, Eva Shepherd
Walden Dissertations and Doctoral Studies
Information technology (IT) managers have sparse information on the critical success factors (CSFs) needed for self-service business intelligence (SSBI) initiatives among casual users. The purpose of this qualitative, multicase study was to describe Business Intelligence (BI) experts’ views on the CSFs needed for self-service BI initiatives among casual users in the post-implementation stage. To meet this purpose, a multicase study design was used to collect data from a purposeful sample of 10 BI experts. Semistructured interviews, archival data, and reflective field notes drove the credibility of the multicase study’s findings through data triangulation. Two conceptual models framed this study: Lennerholt …
Creators And Backers In Rewards-Based Crowdfunding: Will Incentive Misalignment Affect Kickstarter's Sustainability?,
2021
Singapore Management University
Creators And Backers In Rewards-Based Crowdfunding: Will Incentive Misalignment Affect Kickstarter's Sustainability?, Michael Wessel, Rob Gleasure, Robert John Kauffman
Research Collection School Of Computing and Information Systems
Incentive misalignment in rewards-based crowd-funding occurs because creators may benefit disproportionately from fundraising, while backers may benefit disproportionately from the quality of project deliverables. The resulting principal-agent relationship means backers rely on campaign information to identify signs of moral hazard, adverse selection, and risk attitude asymmetry. We analyze campaign information related to fundraising, and compare how different information affects eventual backer satisfaction, based on an extensive dataset from Kickstarter. The data analysis uses a multi-model comparison to reveal similarities and contrasts in the estimated drivers of dependent variables that capture different outcomes in Kickstarter’s funding campaigns, using a linear probability …
Smart Contracts: Will Fintech Be The Catalyst For The Next Global Financial Crisis?,
2021
Catena Technologies
Smart Contracts: Will Fintech Be The Catalyst For The Next Global Financial Crisis?, Randall Duran, Paul Griffin
Research Collection School Of Computing and Information Systems
Purpose: This paper aims to examine the risks associated with smart contracts, a disruptive financial technology (FinTech) innovation, and assesses how in the future they could threaten the integrity of the global financial system. Design/methodology/approach: A qualitative approach is used to identify risk factors related to the use of new financial innovations, by examining how over-the-counter (OTC) derivatives contributed to the Global Financial Crisis (GFC) which occurred during 2007 and 2008. Based on this analysis, the potential for similar concerns with smart contracts are evaluated, drawing on the failure of The DAO on the Ethereum blockchain, which involved the loss …
Learning Adl Daily Routines With Spatiotemporal Neural Networks,
2021
Nanyang Technological University
Learning Adl Daily Routines With Spatiotemporal Neural Networks, Shan Gao, Ah-Hwee Tan, Rossi Setchi
Research Collection School Of Computing and Information Systems
The activities of daily living (ADLs) refer to the activities performed by individuals on a daily basis and are the indicators of a person’s habits, lifestyle, and wellbeing. Learning an individual’s ADL daily routines has significant value in the healthcare domain. Specifically, ADL recognition and inter-ADL pattern learning problems have been studied extensively in the past couple of decades. However, discovering the patterns performed in a day and clustering them into ADL daily routines has been a relatively unexplored research area. In this paper, a self-organizing neural network model, called the Spatiotemporal ADL Adaptive Resonance Theory (STADLART), is proposed for …
Attribute-Aware Pedestrian Detection In A Crowd,
2021
Singapore Management University
Attribute-Aware Pedestrian Detection In A Crowd, Jialiang Zhang, Lixiang Lin, Jianke Zhu, Yang Li, Yun-Chen Chen, Yao Hu, Steven C. H. Hoi
Research Collection School Of Computing and Information Systems
Pedestrian detection is an initial step to perform outdoor scene analysis, which plays an essential role in many real-world applications. Although having enjoyed the merits of deep learning frameworks from the generic object detectors, pedestrian detection is still a very challenging task due to heavy occlusions, and highly crowded group. Generally, the conventional detectors are unable to differentiate individuals from each other effectively under such a dense environment. To tackle this critical problem, we propose an attribute-aware pedestrian detector to explicitly model people's semantic attributes in a high-level feature detection fashion. Besides the typical semantic features, center position, target's scale, …
Analyzing Tweets On New Norm: Work From Home During Covid-19 Outbreak,
2021
Singapore Management University
Analyzing Tweets On New Norm: Work From Home During Covid-19 Outbreak, Swapna Gottipati, Kyong Jin Shim, Hui Hian Teo, Karthik Nityanand, Shreyansh Shivam
Research Collection School Of Computing and Information Systems
The COVID-19 pandemic triggered a large-scale work-from-home trend globally in recent months. In this paper, we study the phenomenon of “work-from-home” (WFH) by performing social listening. We propose an analytics pipeline designed to crawl social media data and perform text mining analyzes on textual data from tweets scrapped based on hashtags related to WFH in COVID-19 situation. We apply text mining and NLP techniques to analyze the tweets for extracting the WFH themes and sentiments (positive and negative). Our Twitter theme analysis adds further value by summarizing the common key topics, allowing employers to gain more insights on areas of …
The Value Of Humanization In Customer Service,
2021
Singapore Management University
The Value Of Humanization In Customer Service, Yang Gao, Huaxia Rui, Shujing Sun
Research Collection School Of Computing and Information Systems
As algorithm-based agents become increasingly capable of handling customer service queries, customers are often uncertain whether they are served by humans or algorithms, and managers are left to question the value of human agents once the technology matures. The current paper studies this question by quantifying the impact of customers' enhanced perception of being served by human agents on customer service interactions. Our identification strategy hinges on the abrupt implementation by Southwest Airlines of a signature policy, which requires the inclusion of an agent's first name in responses on Twitter, thereby making the agent more humanized in the eyes of …
Information Technology Service Continuity Practices In Disadvantaged Business Enterprises,
2021
Walden University
Information Technology Service Continuity Practices In Disadvantaged Business Enterprises, Allen Edward Raub
Walden Dissertations and Doctoral Studies
Disadvantaged business enterprises (DBEs) not using cloud solutions to ensure information technology (IT) service continuity may not withstand the impacts of IT disruption caused by human-made and natural disasters. The loss of critical IT resources leads to business closure and a resource loss for the community, employees, and families. Grounded in the technology acceptance model, the purpose of this qualitative multiple case study was to explore strategies IT leaders in DBEs use to implement cloud solutions to minimize IT disruption. Participants included 16 IT leaders in DBEs in the U.S. state of Maryland. Data were generated through semi-structured interviews and …
Reliable Data Collection: A Tool For Data Integrity In Nigeria,
2021
Walden University
Reliable Data Collection: A Tool For Data Integrity In Nigeria, Stella Tonye Whyte
Walden Dissertations and Doctoral Studies
Unreliable and poor-quality data is a significant threat to governmental institutions because of its devastating impact on nations' social and economic well-being. Managers in government organizations require reliable data to inform economic planning and decision-making. Grounded in the theory of total quality management, the purpose of this qualitative multiple case study was to explore strategies information technology (IT) managers in sub-Saharan African countries use to ensure the reliability of data. The participants were 12 IT managers in three government establishments in Port Harcourt, Rivers State, Nigeria, responsible for ensuring the data reliability for economic planning and decision-making. The data collection …
Mitigating It Security Risk In United States Healthcare: A Qualitative Examination Of Best Practices,
2021
Walden University
Mitigating It Security Risk In United States Healthcare: A Qualitative Examination Of Best Practices, Joann Hemann
Walden Dissertations and Doctoral Studies
AbstractCyberattacks are ranked as third in the top 10 highest global threats in terms of likelihood, ranked after extreme weather events and natural disasters. Traditional technology risk management plans for preventative, detective, and recovery measures have failed to mitigate cybersecurity risks created by new technologies. The social problem addressed was the impact of cybercrime to the healthcare industry. The purpose of this qualitative classical Delphi study was to determine how a panel of 25 healthcare cybersecurity experts, based in the United States, viewed the desirability, feasibility, and importance of information technology (IT) cybersecurity risk mitigation techniques. The conceptual framework selected …
