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Articles 421 - 448 of 448
Full-Text Articles in Databases and Information Systems
Strategies For Information Technology Small Business Owners To Sustain Beyond The First 5 Years, Edward Alan Rodarte
Strategies For Information Technology Small Business Owners To Sustain Beyond The First 5 Years, Edward Alan Rodarte
Walden Dissertations and Doctoral Studies
Small businesses are the foundation of an economy and spawn innovation, but small business owners fail at an alarming rate because they lack strategies to sustain business operations. Since 50% of small businesses fail within the first 5 years, small business sustainability research is critical to support small business owners. Grounded in entrepreneurial theory, the purpose of this multiple case study was to identify strategies information technology (IT) small business owners use to sustain operation beyond the first 5 years. The participants included four IT small business owners in the Southwestern United States who sustained operations beyond the first 5 …
Exploration Of Cybersecurity Managers’ Experiences Protecting Users’ Privacy, Emmanuel Abayomi Segun
Exploration Of Cybersecurity Managers’ Experiences Protecting Users’ Privacy, Emmanuel Abayomi Segun
Walden Dissertations and Doctoral Studies
The protection of individual privacy and personal data in cyberspace continues to be a problem. The research problem was that cybersecurity managers must constantly navigate between the adoption of new security laws, new applications, and the internet of things (IoT) to protect the privacy of individual users. The purpose of this descriptive phenomenological study was to explore the lived experiences of cybersecurity managers who have adopted new security laws, new applications, and the IoT to protect users’ privacy. The conceptual framework that grounded this study was protection motivation theory and cybersecurity awareness. Data were collected through telephone and web-based interviews …
Strategies For Adoption Of Innovative Information Technology For Business Performance Improvement, James Melvin Smith
Strategies For Adoption Of Innovative Information Technology For Business Performance Improvement, James Melvin Smith
Walden Dissertations and Doctoral Studies
Business leaders do not often consider investing in informational technology (IT) to increase performance. These business leaders lack knowledge of innovative IT adoption strategies to expand their revenue and reduce costs to sustain a competitive advantage. Grounded in the technology-organization-environment (TOE) theory, the purpose of this qualitative multiple case study was to explore IT innovation adoption strategies business leaders use to increase performance. The participants were four successful business leaders selected from finalists for international entrepreneurial awards presented annually in the Mid-Atlantic region of the United States. The data were collected using semistructured telephone interviews, media releases, and online publications. …
Factors Influencing The Effectiveness Of Managing Human–Robot Teams, Theodore B. Terry
Factors Influencing The Effectiveness Of Managing Human–Robot Teams, Theodore B. Terry
Walden Dissertations and Doctoral Studies
Certain factors can influence the capabilities of a robot–human team by affecting their social and behavioral dynamics in a work environment. But these factors were not known due to the progressive nature of human–robot partnerships and a lack of peer-reviewed literature on the topic. This e-Delphi study aimed to identify and understand these unknown influential factors based on the participants’ insights. The overarching research question asked about the need to determine factors that might influence the effectiveness of managing human-robot teams. The basis for the conceptual framework for this study was the theory of communication used in organizational management. Twelve …
Strategies For Implementing Critical Success Factors For Improving Information Technology Information Systems’ Performance In Financial Organizations, Sherri L. Williams
Strategies For Implementing Critical Success Factors For Improving Information Technology Information Systems’ Performance In Financial Organizations, Sherri L. Williams
Walden Dissertations and Doctoral Studies
Information technology infrastructure library (ITIL) business leaders lack strategies for implementing critical success factors (CSFs) to promote organizational effectiveness and project success. As a result, ITIL leaders may experience less project success if CSF strategies are not effectively implemented. Grounded in the balanced scorecard (BSC) theory, this qualitative multiple case study aimed to explore strategies ITIL business leaders use to implement CSFs successfully to improve organizational efficiency for project success. The participants comprised five ITIL business leaders in the financial industry located in the southwestern region of the United States who successfully implemented strategies to implement CSFs to improve organizational …
Strategies For Catalyzing Supply Chain Innovation In Midsized Manufacturing Firms, Matthew J. Szukalowski Iii
Strategies For Catalyzing Supply Chain Innovation In Midsized Manufacturing Firms, Matthew J. Szukalowski Iii
Walden Dissertations and Doctoral Studies
Supply chain inflexibility results in reduced efficiency and profitability. Without supply chain flexibility, supply chain managers in manufacturing firms risk the loss of competitive advantage due to reduced efficiency and profitability. Grounded in business process engineering conceptual framework, the purpose of this qualitative multiple case study was to explore strategies supply chain leaders in manufacturing organizations use to achieve supply chain flexibility. The participants were five supply chain leaders in the manufacturing industry in the midwestern United States and successfully implemented innovative solutions to achieve supply chain flexibility. Data were collected using semistructured interviews and a review of company documents …
Forward-Looking Strategies For Safely Adopting Digital Transformation In Aviation, Melissa King
Forward-Looking Strategies For Safely Adopting Digital Transformation In Aviation, Melissa King
Walden Dissertations and Doctoral Studies
Aviation leaders in the U.S. federal government face challenges in adopting technical evolution and advancing modernization while adhering to the rigor of a deeply entrenched safety culture. The purpose of this qualitative modified Delphi study was to determine how a panel of 21 aerospace experts based in Washington, DC viewed strategies for adopting to new technologies while ensuring safety. The management concepts that framed the study were safety culture and digital transformation. The study addressed the research question of how a panel of aviation experts viewed the desirability, feasibility, and importance of forward-looking strategies for adopting digital transformation while adhering …
Exploring The Integration Of Corporate Sustainability Into Small-Scale Business Activities, Olushola O. Odutola
Exploring The Integration Of Corporate Sustainability Into Small-Scale Business Activities, Olushola O. Odutola
Walden Dissertations and Doctoral Studies
Small and medium-scale enterprises contribute 49% of the gross domestic product in Nigeria. The lack of research studies on how small and medium-scale enterprises integrate corporate sustainability into their business operations might present challenges for policymakers in achieving Nigeria’s sustainable development goals (SDG). The purpose of this descriptive phenomenological study was to explore how managers of small and medium-scale enterprises integrate the corporate sustainability dimensions into their business operations based on the concepts of the corporate entity, corporate nature, and corporate obligations. The central research question of this study was how managers of small and medium-scale enterprises integrate the economic, …
Successful Strategies For Adopting Electronic Medical Records Systems At Hospitals, Vazi Okhandiar
Successful Strategies For Adopting Electronic Medical Records Systems At Hospitals, Vazi Okhandiar
Walden Dissertations and Doctoral Studies
Some healthcare leaders lack strategies to successfully implement electronic medical record (EMR) systems to improve patient care efficiency and effectiveness. Grounded in the technology acceptance model, the purpose of this qualitative multiple case study was to explore strategies healthcare leaders use to implement EMR systems. The participants comprised five healthcare leaders who implemented EMRs in U.S. hospitals. Data were collected using semistructured interviews, government websites, and relevant documents and analyzed using Yin’s five-step data analysis method. Three themes emerged: (a) adequate training, (b) workflow analysis, and (c) technical support. A key recommendation is for management to provide customized training to …
Relationship Between Information System Success Model Dimensions And Electronic Health Records Use, Gloria Oshegbo
Relationship Between Information System Success Model Dimensions And Electronic Health Records Use, Gloria Oshegbo
Walden Dissertations and Doctoral Studies
The rise in the use of electronic health records (EHRs) in health care facilities necessitates a standardized tool for evaluating their effectiveness. Delone and McLean’s information system success model (ISSM) was the theoretical foundation, which consists of seven dimensions namely system, information, service qualities, user satisfaction, use, system usefulness, and net benefits. The purpose of this study was to examine EHRs’ efficiency and identify ISSM dimensions that influenced net benefits, the dependent variable. The research questions examined the relationship between dimensions of ISSM and the dimensions that affect net benefits. Participants were recruited using purposeful sampling via social media and …
Social Media Analytics Use Among Small Business Owners, Melody White
Social Media Analytics Use Among Small Business Owners, Melody White
Walden Dissertations and Doctoral Studies
As of January 2018, small businesses created 47.5% of private jobs in the United States, but little is known about whether and why small business owners use social media analytics. This topic is important because social media analytics assist businesses in identifying social media effectiveness, gaining new customers, and staying connected with current customers. The purpose of this generic qualitative research study was to explore the use of social media analytics by small business owners, which can increase customer interaction and help monitor company perception and effectiveness. The conceptual foundation used in this study was the technology acceptance model. The …
Strategies For Small-And Medium-Sized Business Growth And Survival, Abiodun Nestamanuel Ogunmuyiwa
Strategies For Small-And Medium-Sized Business Growth And Survival, Abiodun Nestamanuel Ogunmuyiwa
Walden Dissertations and Doctoral Studies
In the United States, approximately 50% of small businesses fail within the first five years (Small Business Administration, 2018b). Small and medium sized enterprises (SMEs) owners and managers would benefit from strategies to identify and mitigate constraints to sustain their business beyond the first five years of business operation. Grounded in the system theory framework, the purpose of this qualitative multiple case study was to explore strategies leaders of small and medium sized enterprises (SMEs) in Austin, Texas, used to grow and sustain their business’s operations beyond five years. The participants were five small and medium sized businesses owners in …
Strategies Business Leaders Use To Mitigate Online Credit Card Fraud, Clarissa Rosario-Tavarez
Strategies Business Leaders Use To Mitigate Online Credit Card Fraud, Clarissa Rosario-Tavarez
Walden Dissertations and Doctoral Studies
Online credit card fraud targeting banks, customers, and businesses costs millions of U.S. dollars annually. Online business leaders face challenges securing and regulating the online payment processing environment. Grounded in the situational crime prevention theory, the purpose of this qualitative multiple case study was to explore strategies online business leaders use to mitigate the loss of revenue caused by online credit card fraud. The participants comprised five online business leaders of an organization in the Southwest of the United States, who implemented strategies that successfully mitigated revenue losses due to online credit card fraud. The data were collected from semistructured …
Strategies That Improve Ux (User Experience) Design Through Product Innovation, Jibing Zhao
Strategies That Improve Ux (User Experience) Design Through Product Innovation, Jibing Zhao
Walden Dissertations and Doctoral Studies
User Experience (UX) design improvement can alter business results. Information technology (IT) company leaders are concerned with UX design improvement, as it is the number one indication of product innovation success and user satisfaction. Grounded in Christensen’s disruptive innovation theory, the purpose of the qualitative single case study was to explore strategies IT company leaders and UX designers used to identify critical UX design elements that lead to improved product innovations. The participants were five IT company leaders and a focus group of four UX designers employed by a sizeable telecom organization in Beijing, China. The data were collected from …
The Application Of Deep Learning And Cloud Technologies To Data Science, Ian A. Trawinski
The Application Of Deep Learning And Cloud Technologies To Data Science, Ian A. Trawinski
College of Graduate Studies: Theses & Dissertations
Machine Learning and Cloud Computing have become a staple to businesses and educational institutions over the recent years. The two forefronts of big data solutions have garnered technology giants to race for the superior implementation of both Machine Learning and Cloud Computing. The objective of this thesis is to test and utilize AWS SageMaker in three different applications: time-series forecasting with sentiment analysis, automated Machine Learning (AutoML), and finally anomaly detection. The first study covered is a sentiment-based LSTM for stock price prediction. The LSTM was created with two methods, the first being SQL Server Data Tools, and the second …
Partnering For Value Perfection And Business Sustainability In The Cloud Services Brokerage Market, Richard Shang, Robert John Kauffman
Partnering For Value Perfection And Business Sustainability In The Cloud Services Brokerage Market, Richard Shang, Robert John Kauffman
Research Collection School Of Computing and Information Systems
The cloud computing and services market has advanced in the past ten years. They now include most IT services from fundamental computing to cutting-edge AI capabilities. With the widespread adoption of cloud services, clients are facing the fact that they are utilizing cloud resources at a sub-optimal level. Cloud services brokers (CSBs) grew from the market to fill the needs for cloud resource management and risk mitigation. Based on analysis of the cloud market and the case of cloud services brokerage and related activities in North America, we offer theoretical analysis for how value creation works, its impacts on the …
Accessibility In Software Practice: A Practitioner's Perspective, Tingting Bi, Xin Xia, David Lo, John C. Grundy, Thomas Zimmermann, Denae Ford
Accessibility In Software Practice: A Practitioner's Perspective, Tingting Bi, Xin Xia, David Lo, John C. Grundy, Thomas Zimmermann, Denae Ford
Research Collection School Of Computing and Information Systems
Being able to access software in daily life is vital for everyone, and thus accessibility is a fundamental challenge for software development. However, given the number of accessibility issues reported by many users, e.g., in app reviews, it is not clear if accessibility is widely integrated into current software projects and how software projects address accessibility issues. In this article, we report a study of the critical challenges and benefits of incorporating accessibility into software development and design. We applied a mixed qualitative and quantitative approach for gathering data from 15 interviews and 365 survey respondents from 26 countries across …
Streaminghub: Interactive Stream Analysis Workflows, Yasith Jayawardana, Vikas G. Ashok, Sampath Jayarathna
Streaminghub: Interactive Stream Analysis Workflows, Yasith Jayawardana, Vikas G. Ashok, Sampath Jayarathna
Computer Science Faculty Publications
Reusable data/code and reproducible analyses are foundational to quality research. This aspect, however, is often overlooked when designing interactive stream analysis workflows for time-series data (e.g., eye-tracking data). A mechanism to transmit informative metadata alongside data may allow such workflows to intelligently consume data, propagate metadata to downstream tasks, and thereby auto-generate reusable, reproducible analytic outputs with zero supervision. Moreover, a visual programming interface to design, develop, and execute such workflows may allow rapid prototyping for interdisciplinary research. Capitalizing on these ideas, we propose StreamingHub, a framework to build metadata propagating, interactive stream analysis workflows using visual programming. We conduct …
Visual Descriptor Extraction From Patent Figure Captions: A Case Study Of Data Efficiency Between Bilstm And Transformer, Xin Wei, Jian Wu, Kehinde Ajayi, Diane Oyen
Visual Descriptor Extraction From Patent Figure Captions: A Case Study Of Data Efficiency Between Bilstm And Transformer, Xin Wei, Jian Wu, Kehinde Ajayi, Diane Oyen
Computer Science Faculty Publications
Technical drawings used for illustrating designs are ubiquitous in patent documents, especially design patents. Different from natural images, these drawings are usually made using black strokes with little color information, making it challenging for models trained on natural images to recognize objects. To facilitate indexing and searching, we propose an effective and efficient visual descriptor model that extracts object names and aspects from patent captions to annotate benchmark patent figure datasets. We compared two state-of-the-art named entity recognition (NER) models and found that with a limited number of annotated samples, the BiLSTM-CRF model outperforms the Transformer model by a significant …
D-Lib Magazine Pioneered Web-Based Scholarly Communication, Michael L. Nelson, Herbert Van De Sompel
D-Lib Magazine Pioneered Web-Based Scholarly Communication, Michael L. Nelson, Herbert Van De Sompel
Computer Science Faculty Publications
The web began with a vision of, as stated by Tim Berners-Lee in 1991, “that much academic information should be freely available to anyone”. For many years, the development of the web and the development of digital libraries and other scholarly communications infrastructure proceeded in tandem. A milestone occurred in July, 1995, when the first issue of D-Lib Magazine was published as an online, HTML-only, open access magazine, serving as the focal point for the then emerging digital library research community. In 2017 it ceased publication, in part due to the maturity of the community it served as well as …
Comparison Of The Mental Burden On Nursing Care Providers With And Without Mat-Type Sleep State Sensors At A Nursing Home In Tokyo, Japan: Quasi-Experimental Study, Sakiko Itoh, Hwee-Pink Tan, Kenichi Kudo, Yasuko Ogata
Comparison Of The Mental Burden On Nursing Care Providers With And Without Mat-Type Sleep State Sensors At A Nursing Home In Tokyo, Japan: Quasi-Experimental Study, Sakiko Itoh, Hwee-Pink Tan, Kenichi Kudo, Yasuko Ogata
Research Collection School Of Computing and Information Systems
Background: Increasing need for nursing care has led to the increased burden on formal caregivers, with those in nursing homes having to deal with exhausting labor. Although research activities on the use of internet of things devices to support nursing care for older adults exist, there is limited evidence on the effectiveness of these interventions among formal caregivers in nursing homes. Objective: This study aims to investigate whether mat-type sleep state sensors for supporting nursing care can reduce the mental burden of formal caregivers in a nursing home. Methods: This was a quasi-experimental study at a nursing home in Tokyo, …
Learning From Web Recipe-Image Pairs For Food Recognition: Problem, Baselines And Performance, Bin Zhu, Chong-Wah Ngo, Wing-Kwong Chan
Learning From Web Recipe-Image Pairs For Food Recognition: Problem, Baselines And Performance, Bin Zhu, Chong-Wah Ngo, Wing-Kwong Chan
Research Collection School Of Computing and Information Systems
Cross-modal recipe retrieval has recently been explored for food recognition and understanding. Text-rich recipe provides not only visual content information (e.g., ingredients, dish presentation) but also procedure of food preparation (cutting and cooking styles). The paired data is leveraged to train deep models to retrieve recipes for food images. Most recipes on the Web include sample pictures as the references. The paired multimedia data is not noise-free, due to errors such as pairing of images containing partially prepared dishes with recipes. The content of recipes and food images are not always consistent due to free-style writing and preparation of food …
Just-In-Time Defect Prediction On Javascript Projects: A Replication Study, Chao Ni, Xin Xia, David Lo, Xiaohu Yang, Ahmed E. Hassan
Just-In-Time Defect Prediction On Javascript Projects: A Replication Study, Chao Ni, Xin Xia, David Lo, Xiaohu Yang, Ahmed E. Hassan
Research Collection School Of Computing and Information Systems
Change-level defect prediction is widely referred to as just-in-time (JIT) defect prediction since it identifies a defect-inducing change at the check-in time, and researchers have proposed many approaches based on the language-independent change-level features. These approaches can be divided into two types: supervised approaches and unsupervised approaches, and their effectiveness has been verified on Java or C++ projects. However, whether the language-independent change-level features can effectively identify the defects of JavaScript projects is still unknown. Additionally, many researches have confirmed that supervised approaches outperform unsupervised approaches on Java or C++ projects when considering inspection effort. However, whether supervised JIT defect …
Cross-Modal Food Retrieval: Learning A Joint Embedding Of Food Images And Recipes With Semantic Consistency And Attention Mechanism, Hao Wang, Doyen Sahoo, Chenghao Liu, Ke Shu, Palakorn Achananuparp, Ee-Peng Lim, Steven C. H. Hoi
Cross-Modal Food Retrieval: Learning A Joint Embedding Of Food Images And Recipes With Semantic Consistency And Attention Mechanism, Hao Wang, Doyen Sahoo, Chenghao Liu, Ke Shu, Palakorn Achananuparp, Ee-Peng Lim, Steven C. H. Hoi
Research Collection School Of Computing and Information Systems
Food retrieval is an important task to perform analysis of food-related information, where we are interested in retrieving relevant information about the queried food item such as ingredients, cooking instructions, etc. In this paper, we investigate cross-modal retrieval between food images and cooking recipes. The goal is to learn an embedding of images and recipes in a common feature space, such that the corresponding image-recipe embeddings lie close to one another. Two major challenges in addressing this problem are 1) large intra-variance and small inter-variance across cross-modal food data; and 2) difficulties in obtaining discriminative recipe representations. To address these …
Face To Purchase: Predicting Consumer Choices With Structured Facial And Behavioral Traits Embedding, Zhe Liu, Xianzhi Wang, Lina Yao, Jake An, Lei Bai, Ee-Peng Lim
Face To Purchase: Predicting Consumer Choices With Structured Facial And Behavioral Traits Embedding, Zhe Liu, Xianzhi Wang, Lina Yao, Jake An, Lei Bai, Ee-Peng Lim
Research Collection School Of Computing and Information Systems
Predicting consumers’ purchasing behaviors is critical for targeted advertisement and sales promotion in e-commerce. Human faces are an invaluable source of information for gaining insights into consumer personality and behavioral traits. However, consumer's faces are largely unexplored in previous research, and the existing face-related studies focus on high-level features such as personality traits while neglecting the business significance of learning from facial data. We propose to predict consumers’ purchases based on their facial features and purchasing histories. We design a semi-supervised model based on a hierarchical embedding network to extract high-level features of consumers and to predict the top-N purchase …
Do Sequels Outperform Or Disappoint? Insights From An Analysis Of Amazon Echo Consumer Reviews, Kyong Jin Shim, Siaw Ling Lo, Su Yee Liew
Do Sequels Outperform Or Disappoint? Insights From An Analysis Of Amazon Echo Consumer Reviews, Kyong Jin Shim, Siaw Ling Lo, Su Yee Liew
Research Collection School Of Computing and Information Systems
Rapid technological advances in recent years drastically transformed our world. Amidst modern technological inventions such as smart phones, smart watches and smart home devices, consumers of electronic digital devices experience greatly improved automation, productivity, and efficiency in conducting routine daily tasks, information searching, shopping as well as finding entertainment. In the last few years, the global smart speaker market has undergone significant growth. As technology continues to advance and smart speakers are equipped with innovative features, the adoption of smart speakers will increase and so will consumer expectations. This research paper presents an aspect-specific sentiment analysis of consumer reviews of …
Contextualized Knowledge-Aware Attentive Neural Network: Enhancing Answer Selection With Knowledge, Yang Deng, Yuexiang Xie, Yaliang Li, Min Yang, Wai Lam, Ying Shen
Contextualized Knowledge-Aware Attentive Neural Network: Enhancing Answer Selection With Knowledge, Yang Deng, Yuexiang Xie, Yaliang Li, Min Yang, Wai Lam, Ying Shen
Research Collection School Of Computing and Information Systems
Answer selection, which is involved in many natural language processing applications, such as dialog systems and question answering (QA), is an important yet challenging task in practice, since conventional methods typically suffer from the issues of ignoring diverse real-world background knowledge. In this article, we extensively investigate approaches to enhancing the answer selection model with external knowledge from knowledge graph (KG). First, we present a context-knowledge interaction learning framework, Knowledge-aware Neural Network, which learns the QA sentence representations by considering a tight interaction with the external knowledge from KG and the textual information. Then, we develop two kinds of knowledge-aware …
Journey With Ting Peng Liang In Pacific Asia Information Systems Field, J. Lee, J. Jiang, P. Chau, A. Kankanhalli, M. Nelson, W. Huang, K. Wei, C. Sia, D. Vogel, M. Myers, G. Gable, N. Shen, C. Wei, S. Hung, Keng Siau, D. Liang
Journey With Ting Peng Liang In Pacific Asia Information Systems Field, J. Lee, J. Jiang, P. Chau, A. Kankanhalli, M. Nelson, W. Huang, K. Wei, C. Sia, D. Vogel, M. Myers, G. Gable, N. Shen, C. Wei, S. Hung, Keng Siau, D. Liang
Research Collection School Of Computing and Information Systems
Our respectful old friend Professor Ting-Peng Liang (in short, TP) whom we loved suddenly passed away on May 20, 2021. But we cannot forget his smile and passion, and his inerasable footprints in PACIS, PAJAIS, and AIS Community. He was the founder of PACIS, founding editor-in-chief of PAJAIS, and past president of AIS to list just a few. He was the pioneer who received the first AIS Fellow and the first LEO Award from Asia Pacific. That is why the leaders of the information systems field organized the first ever special tribute session in PACIS 2021 in memory of TP