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Databases and Information Systems Commons™

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2016

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Institution
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Articles 331 - 352 of 352

Full-Text Articles in Databases and Information Systems

Unexpected Events In Nigerian Construction Projects: A Case Of Four Construction Companies, Gabriel Baritulem Pidomson Jan 2016

Unexpected Events In Nigerian Construction Projects: A Case Of Four Construction Companies, Gabriel Baritulem Pidomson

Walden Dissertations and Doctoral Studies

In Nigeria, 50% to 70% of construction projects are delayed due to unexpected events that are linked to lapses in performance, near misses, and surprises. While researchers have theorized on the impact of mindfulness and information systems management (ISM) on unexpected events, information is lacking on how project teams can combine ISM and mindfulness in response to unexpected events in construction projects. The purpose of this case study was to examine how project teams can combine mindfulness with ISM in response to unexpected events during the execution phase of Nigerian construction projects. The framework of High Reliability Theory revealed that …

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Meeting Meaningful-Use Requirements With Electronic Medical Records In A Community Health Clinic, Tony Andrew Richardson Jan 2016

Meeting Meaningful-Use Requirements With Electronic Medical Records In A Community Health Clinic, Tony Andrew Richardson

Walden Dissertations and Doctoral Studies

Small nonprofit medical practices lack the technical expertise to implement electronic medical records (EMRs) that are consistent with federal meaningful-use requirements. Failure to comply with meaningful-use EMR requirements affects nonprofit community health care leaders' ability to receive reimbursement for care. Complexity theory was the conceptual framework used in this exploratory single case study. The purpose of the study was to explore the strategies nonprofit community health care leaders in Washington, DC used to implement EMRs in order to comply with the meaningful-use requirements. Data were collected via in-depth interviews with 7 purposively-selected health care leaders in a nonprofit clinic and …

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Information Technology Adoption By Small Businesses Owners, Soha Elaskalani Ragab Jan 2016

Information Technology Adoption By Small Businesses Owners, Soha Elaskalani Ragab

Walden Dissertations and Doctoral Studies

Small business owners need effective strategies to increase profitability. One such strategy is the adoption of information technology (IT). The purpose of this multiple case study was to explore the strategies used by small business enterprise (SBE) owners to implement IT solutions for increased profitability within 3 years of opening their business. The population consisted of 3 small business owners in Orange County Southern California who were profitable by their third year of business. The conceptual framework for this study was based upon general systems theory. Data for this study were collected through semistructured interviews and a review of company …

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Decision-Making On Technology Deployment For Online Programs At Historically Black Institutions, Shirley M. Mcclellan Jan 2016

Decision-Making On Technology Deployment For Online Programs At Historically Black Institutions, Shirley M. Mcclellan

Walden Dissertations and Doctoral Studies

Historically Black colleges and universities (HBCUs) lag behind predominantly White institutions in their production of online courses and degree programs because of nonexistent or inadequate technology training for faculty members and limited financial resources. The purpose of this qualitative comparative case study was to obtain insight into how decisions are made on technology deployment and integration of online programs at HBCUs. Guided by Donaldson's contingency theory, this case study addressed how decisions are determined at HBCUs to integrate online learning programs into the curriculum and how the individuals who make these decisions perceive online learning programs. Survey responses were collected …

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Strategies For E-Commerce Platform Adoption In The Manufacturing Sector In Western India, Neeraj Parikh Jan 2016

Strategies For E-Commerce Platform Adoption In The Manufacturing Sector In Western India, Neeraj Parikh

Walden Dissertations and Doctoral Studies

While 95% of Indian SME leaders have not adopted an e-commerce platform, the few SME leaders having adopted such platforms reported 64% higher sales and 65% higher profits. The purpose of this multi-case study, guided by the diffusion of innovation (DOI) theory, was to explore the strategies that Indian SME leaders used to adopt e-commerce platforms to expand their businesses. Data for this study emerged from conducting face-to-face, semistructured interviews with 3 SME leaders who operated in the manufacturing industry in western India. The data analysis process included validating, coding, interpreting, and summarizing data and generating themes. Methodological triangulation of …

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Examining Data Privacy Breaches In Healthcare, Tanshanika Turner Smith Jan 2016

Examining Data Privacy Breaches In Healthcare, Tanshanika Turner Smith

Walden Dissertations and Doctoral Studies

Healthcare data can contain sensitive, personal, and confidential information that should remain secure. Despite the efforts to protect patient data, security breaches occur and may result in fraud, identity theft, and other damages. Grounded in the theoretical backdrop of integrated system theory, the purpose of this study was to determine the association between data privacy breaches, data storage locations, business associates, covered entities, and number of individuals affected. Study data consisted of secondary breach information retrieved from the Department of Health and Human Services Office of Civil Rights. Loglinear analytical procedures were used to examine U.S. healthcare breach incidents and …

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Adoption Of Information And Communication Technology In Nigerian Small- To Medium-Size Enterprises, Kessington Enaye Okundaye Jan 2016

Adoption Of Information And Communication Technology In Nigerian Small- To Medium-Size Enterprises, Kessington Enaye Okundaye

Walden Dissertations and Doctoral Studies

Small- to medium-size enterprises (SMEs) play a vital role in a dynamic economy through job creation, poverty alleviation, and socioeconomic development in developed and developing countries. The purpose of this multiple case study was to explore how SME leaders in Lagos, Nigeria, adopted information and communication technology (ICT) as a business strategy to increase profitability and compete globally. Organizational leaders have adopted ICT so that their organizations can become more efficient, effective, innovative, and globally competitive. This study involved 4 SMEs that had successfully implemented ICT. The participants included 5 SME leaders from each of the SMEs. The data collection …

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Challenges And Implications Of Implementing Strategic Intelligence Systems In Mexico, Hector De Jesus Rivera Ochoa Jan 2016

Challenges And Implications Of Implementing Strategic Intelligence Systems In Mexico, Hector De Jesus Rivera Ochoa

Walden Dissertations and Doctoral Studies

Business intelligence (BI) allows companies to make faster and better-informed decisions. Unfortunately, implementing BI systems in companies in developing countries is minimal. Limited and costly access to the technology, coupled with the cultural background affecting how people perceive BI, has restricted such implementations. The purpose of this phenomenological study was to explore and describe the lived experiences of chief executive officers (CEOs) in northern Mexico to obtain insight into the challenges of implementing BI systems. Research questions focused on the reasons behind the lack of BI systems implementation and the challenges faced by these officers when implementing a new system. …

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Social Influence And Organizational Innovation Characteristics On Enterprise Social Computing Adoption, Vincent Di Palermo Jan 2016

Social Influence And Organizational Innovation Characteristics On Enterprise Social Computing Adoption, Vincent Di Palermo

Walden Dissertations and Doctoral Studies

Ample research has been conducted to identify the determinants of information technology (IT) adoption. No previous quantitative researchers have explored IT adoption in the context of enterprise social computing (ESC). The purpose of this study was to test and extend the social influence model of IT adoption. In addition, this study addressed a gap in the research literature and presented a model that relates the independent variables of social action, social consensus, social authority, social cooperation, perceived relative advantage, perceived compatibility, perceived ease of use, perceived usefulness, and organizational commitment to the dependent variables of social embracement and embedment. A …

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Comparative Analysis: Successes And Failures Of St. Louis, Stephen Anane-Boakye Jan 2016

Comparative Analysis: Successes And Failures Of St. Louis, Stephen Anane-Boakye

Walden Dissertations and Doctoral Studies

The St. Louis School District (SLSD) provided its students with a virtual education program (VEP) but abandoned it following a cut in federal funding, omitting an alternative pathway for students to complete their education. The problem addressed in this study was the effect of technology and management's decision to discontinue the VEP. The purpose of this qualitative study was to determine management's role and the effect of the technology in discontinuing the VEP. Dewey's theory of education and Koskela and Howell's theory of management established the theoretical foundation for the study. A purposeful sampling selection approach was used to recruit …

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Adoption Of Electronic Health Record Systems Within Primary Care Practices, Marvin Leon Reid, Jr. Jan 2016

Adoption Of Electronic Health Record Systems Within Primary Care Practices, Marvin Leon Reid, Jr.

Walden Dissertations and Doctoral Studies

Primary care physicians (PCPPs) have been slow to implement electronic health records (EHRs), even though there is a U.S. federal requirement to implement EHRs. The purpose of this phenomenological study was to determine why PCPPs have been slow to adopt electronic health record (EHR) systems despite the potential to increase efficiency and quality of health care. The complex adaptive systems theory (CAS) served as the conceptual framework for this study. Twenty-six PCPPs were interviewed from primary care practices (PCPs) based in southwestern Ohio. The data were collected through a semistructured interview format and analyzed using a modified van Kaam method. …

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Innovation Difussion Of Smartphone In Nigeria, Olukunle Ariyo Iyanda Jan 2016

Innovation Difussion Of Smartphone In Nigeria, Olukunle Ariyo Iyanda

Walden Dissertations and Doctoral Studies

Rapid diffusion and use of smartphones in Africa are challenging, given the state of its infrastructural facilities. The problem addressed was a lack of information on the adoption behavior and the sociodevelopmental effect of smartphone acceptance among rural and urban users in Nigeria. The purpose of this study was to examine the adoption behavior and the sociodevelopmental effect of smartphone acceptance among rural and urban residents. Research questions examined the relationship of performance expectancy, social influence, price value, and habit on adopters' intentions to use smartphones, continued use of smartphones, and the sociodevelopmental effect on smartphone users lives and standard …

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A Study On Singapore Haze, Bingtian Dai, Kasthuri Jayarajah, Ee-Peng Lim, Archan Misra, Shriguru Nayak Jan 2016

A Study On Singapore Haze, Bingtian Dai, Kasthuri Jayarajah, Ee-Peng Lim, Archan Misra, Shriguru Nayak

Research Collection School Of Computing and Information Systems

In 2015, Singaporean have experienced one of the worse air pollution crises in history. With datasets from a well-known photo sharing social network, we analyze how this haze affects Singaporean's daily life. We will share our preliminary results in this paper.

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Friendship Maintenance And Prediction In Multiple Social Networks, Roy Ka-Wei Lee, Ee-Peng Lim Jan 2016

Friendship Maintenance And Prediction In Multiple Social Networks, Roy Ka-Wei Lee, Ee-Peng Lim

Research Collection School Of Computing and Information Systems

Due to the proliferation of online social networks (OSNs), users find themselves participating in multiple OSNs. These users leave their activity traces as they maintain friendships and interact with other users in these OSNs. In this work, we analyze how users maintain friendship in multiple OSNs by studying users who have accounts in both Twitter and Instagram. Specifically, we study the similarity of a user's friendship and the evenness of friendship distribution in multiple OSNs. Our study shows that most users in Twitter and Instagram prefer to maintain different friendships in the two OSNs, keeping only a small clique of …

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Smart Ambient Sound Analysis Via Structured Statistical Modeling, Jialie Shen, Liqiang Nie, Tat Seng Chua Jan 2016

Smart Ambient Sound Analysis Via Structured Statistical Modeling, Jialie Shen, Liqiang Nie, Tat Seng Chua

Research Collection School Of Computing and Information Systems

In this paper, we introduce a novel framework called SASA (Smart Ambient Sound Analyser) to support different ambient audio mining tasks (e.g., audio classification and location estimation). To gain comprehensive ambient sound modelling, SASA extracts a variety of acoustic features from different sound components (e.g., music, voice and background), and translates them into structured information. This significantly enhances quality of audio content representation. Further, distinguished from existing approaches, SASA’s multilayered architecture seamlessly integrates mixture models and aPEGASOS (adaptive PEGASOS) SVM algorithm into a unified classification framework. The approach can leverage complimentary strengths of both models. Experimental results based on three …

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Iot+Small Data: Transforming In-Store Shopping Analytics And Services, Meera Radhakrishnan, Sougata Sen, Vigneshwaran Subbaraju, Archan Misra, Rajesh Balan Jan 2016

Iot+Small Data: Transforming In-Store Shopping Analytics And Services, Meera Radhakrishnan, Sougata Sen, Vigneshwaran Subbaraju, Archan Misra, Rajesh Balan

Research Collection School Of Computing and Information Systems

We espouse a vision of small data-based immersive retail analytics, where a combination of sensor data, from personal wearable-devices and store-deployed sensors & IoT devices, is used to create real-time, individualized services for in-store shoppers. Key challenges include (a) appropriate joint mining of sensor & wearable data to capture a shopper’s product level interactions, and (b) judicious triggering of power-hungry wearable sensors (e.g., camera) to capture only relevant portions of a shopper’s in-store activities. To explore the feasibility of our vision, we conducted experiments with 5 smartwatch-wearing users who interacted with objects placed on cupboard racks in our lab (to …

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Privacy-Preserving And Verifiable Data Aggregation, Ngoc Hieu Tran, Robert H. Deng, Hwee Hwa Pang Jan 2016

Privacy-Preserving And Verifiable Data Aggregation, Ngoc Hieu Tran, Robert H. Deng, Hwee Hwa Pang

Research Collection School Of Computing and Information Systems

There are several recent research studies on privacy-preserving aggregation of time series data, where an aggregator computes an aggregation of multiple users' data without learning each individual's private input value. However, none of the existing schemes allows the aggregation result to be verified for integrity. In this paper, we present a new data aggregation scheme that protects user privacy as well as integrity of the aggregation. Towards this end, we first propose an aggregate signature scheme in a multi-user setting without using bilinear maps. We then extend the aggregate signature scheme into a solution for privacy-preserving and verifiable data aggregation. …

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Online Arima Algorithms For Time Series Prediction, Chenghao Liu, Hoi, Steven C. H., Peilin Zhao, Jianling Sun Jan 2016

Online Arima Algorithms For Time Series Prediction, Chenghao Liu, Hoi, Steven C. H., Peilin Zhao, Jianling Sun

Research Collection School Of Computing and Information Systems

Autoregressive integrated moving average (ARIMA) is one of the most popular linear models for time series forecasting due to its nice statistical properties and great flexibility. However, its parameters are estimated in a batch manner and its noise terms are often assumed to be strictly bounded, which restricts its applications and makes it inefficient for handling large-scale real data. In this paper, we propose online learning algorithms for estimating ARIMA models under relaxed assumptions on the noise terms, which is suitable to a wider range of applications and enjoys high computational efficiency. The idea of our ARIMA method is to …

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On Detecting Maximal Quasi Antagonistic Communities In Signed Graphs, Ming Gao, Ee-Peng Lim, David Lo, Philips Kokoh Prasetyo Jan 2016

On Detecting Maximal Quasi Antagonistic Communities In Signed Graphs, Ming Gao, Ee-Peng Lim, David Lo, Philips Kokoh Prasetyo

Research Collection School Of Computing and Information Systems

Many networks can be modeled as signed graphs. These include social networks, and relationships/interactions networks. Detecting sub-structures in such networks helps us understand user behavior, predict links, and recommend products. In this paper, we detect dense sub-structures from a signed graph, called quasi antagonistic communities (QACs). An antagonistic community consists of two groups of users expressing positive relationships within each group but negative relationships across groups. Instead of requiring complete set of negative links across its groups, a QAC allows a small number of inter-group negative links to be missing. We propose an algorithm, Mascot, to find all maximal quasi …

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Investigating The Influence Of Offline Friendship On Twitter Networking Behaviors, Young Soo Kim, Felicia Natali, Feida Zhu, Ee-Peng Lim Jan 2016

Investigating The Influence Of Offline Friendship On Twitter Networking Behaviors, Young Soo Kim, Felicia Natali, Feida Zhu, Ee-Peng Lim

Research Collection School Of Computing and Information Systems

We investigate the influence of offline friendship in three specific areas of Twitter networking behaviors: (a) network structure, (b) Twitter content and (c) interaction on Twitter. We observe some interesting findings through the empirical analysis of 2193 pairs of users who are online friends. When these pairs of users know each other offline, they are more likely to (1) respond to the online gesture of friendship from their friend, (2) share mutual online friends, (3) distribute and gather information in their friend’s Twitter network, (4) pay attention to their friend’s tweets, (5) post tweets that might be of interest to …

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Building Online Community On Snac: A Netnographic Study Of The Early Years Sector, Ruth Wallace, Leesa Costello, Amanda Devine Jan 2016

Building Online Community On Snac: A Netnographic Study Of The Early Years Sector, Ruth Wallace, Leesa Costello, Amanda Devine

Research outputs 2014 to 2021

‘‘Build it and they will come,’’ an adage critiqued as a common misconception of participatory engagement with online communities. Previous research indicated that a netnographic approach based upon researcher– participant engagement would provide the best opportunity to build and sustain a successful support community [...].

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Harnessing The Power Of Text Mining For The Detection Of Abusive Content In Social Media, Hao Chen, Susan Mckeever, Sarah Jane Delany Jan 2016

Harnessing The Power Of Text Mining For The Detection Of Abusive Content In Social Media, Hao Chen, Susan Mckeever, Sarah Jane Delany

Conference papers

Abstract The issues of cyberbullying and online harassment have gained considerable coverage in the last number of years. Social media providers need to be able to detect abusive content both accurately and efficiently in order to protect their users. Our aim is to investigate the application of core text mining techniques for the automatic detection of abusive content across a range of social media sources include blogs, forums, media-sharing, Q&A and chat - using datasets from Twitter, YouTube, MySpace, Kongregate, Formspring and Slashdot. Using supervised machine learning, we compare alternative text representations and dimension reduction approaches, including feature selection and …

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