Challenges And Implications Of Implementing Strategic Intelligence Systems In Mexico,
2016
Walden University
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. …
Social Influence And Organizational Innovation Characteristics On Enterprise Social Computing Adoption,
2016
Walden University
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 …
Comparative Analysis: Successes And Failures Of St. Louis,
2016
Walden University
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 …
Adoption Of Electronic Health Record Systems Within Primary Care Practices,
2016
Walden University
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. …
Innovation Difussion Of Smartphone In Nigeria,
2016
Walden University
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 …
A Study On Singapore Haze,
2016
Singapore Management University
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.
Friendship Maintenance And Prediction In Multiple Social Networks,
2016
Singapore Management University
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 …
Smart Ambient Sound Analysis Via Structured Statistical Modeling,
2016
Singapore Management University
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 …
Iot+Small Data: Transforming In-Store Shopping Analytics And Services,
2016
Singapore Management University
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 …
Privacy-Preserving And Verifiable Data Aggregation,
2016
Singapore Management University
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. …
Online Arima Algorithms For Time Series Prediction,
2016
Singapore Management University
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 …
On Detecting Maximal Quasi Antagonistic Communities In Signed Graphs,
2016
East China Normal University
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 …
Investigating The Influence Of Offline Friendship On Twitter Networking Behaviors,
2016
Singapore Management University
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 …
Building Online Community On Snac: A Netnographic Study Of The Early Years Sector,
2016
Edith Cowan University
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 [...].
Harnessing The Power Of Text Mining For The Detection Of Abusive Content In Social Media,
2016
Technological University Dublin
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 …
Advanced Techniques For Computational And Information Sciences,
2015
Central Queensland University
Advanced Techniques For Computational And Information Sciences, William Guo, Chih-Cheng Hung, Paul Scheunders, Bor-Chen Kuo
Faculty Articles
New techniques in computational and information sciences have played an important role in keeping advancing the so called knowledge economy. Advanced techniques have been introduced to or emerging in almost every field of the scientific world for hundreds of years, which has been accelerated since the late 1970s when the advancement in computers and digital technologies brought the world into the Information Era. In addition to the rapid development of computational intelligence and new data fusion techniques in the past thirty years [1–4], mobile and cloud computing, grid computing driven numeric computation models, big data intelligence, and other emerging technologies …
Data To Decisions For Cyberspace Operations,
2015
Robert Morris University
Data To Decisions For Cyberspace Operations, Steve Stone
Military Cyber Affairs
In 2011, the United States (U.S.) Department of Defense (DOD) named cyberspace a new operational domain. The U.S. Cyber Command and the Military Services are working to make the cyberspace environment a suitable place for achieving national objectives and enabling military command and control (C2). To effectively conduct cyberspace operations, DOD requires data and analysis of the Mission, Network, and Adversary. However, the DOD’s current data processing and analysis capabilities do not meet mission needs within critical operational timelines. This paper presents a summary of the data processing and analytics necessary to effectively conduct cyberspace operations.
Intent Classification Of Short-Text On Social Media,
2015
Wright State University - Main Campus
Intent Classification Of Short-Text On Social Media, Hemant Purohit, Guozhu Dong, Valerie L. Shalin, Krishnaprasad Thirunarayan, Amit P. Sheth
Kno.e.sis Publications
Social media platforms facilitate the emergence of citizen communities that discuss real-world events. Their content reflects a variety of intent ranging from social good (e.g., volunteering to help) to commercial interest (e.g., criticizing product features). Hence, mining intent from social data can aid in filtering social media to support organizations, such as an emergency management unit for resource planning. However, effective intent mining is inherently challenging due to ambiguity in interpretation, and sparsity of relevant behaviors in social data. In this paper, we address the problem of multiclass classification of intent with a use-case of social data generated during crisis …
An Immersive Telepresence System Using Rgb-D Sensors And Head-Mounted Display,
2015
University of Dayton
An Immersive Telepresence System Using Rgb-D Sensors And Head-Mounted Display, Xinzhong Lu, Ju Shen, Saverio Perugini, Jianjun Yang
Computer Science Faculty Publications
We present a tele-immersive system that enables people to interact with each other in a virtual world using body gestures in addition to verbal communication. Beyond the obvious applications, including general online conversations and gaming, we hypothesize that our proposed system would be particularly beneficial to education by offering rich visual contents and interactivity. One distinct feature is the integration of egocentric pose recognition that allows participants to use their gestures to demonstrate and manipulate virtual objects simultaneously. This functionality enables the instructor to effectively and efficiently explain and illustrate complex concepts or sophisticated problems in an intuitive manner. The …
When Disclosure Is Involuntary: Empowering Users With Control To Reduce Concerns,
2015
University of Oklahoma Norman Campus
When Disclosure Is Involuntary: Empowering Users With Control To Reduce Concerns, David W. Wilson, Ryan M. Schuetzler, Bradley Dorn, Jeffrey Gainer Proudfoot
Information Systems and Quantitative Analysis Faculty Proceedings & Presentations
Modern organizations must carefully balance the practice of gathering large amounts of valuable data from individuals with the associated ethical considerations and potential negative public image inherent in breaches of privacy. As it becomes increasingly commonplace for many types of information to be collected without individuals' knowledge or consent, managers and researchers alike can benefit from understanding how individuals react to such involuntary disclosures, and how these reactions can impact evaluations of the data-collecting organizations. This research develops and empirically tests a theoretical model that shows how empowering individuals with a sense of control over their personal information can help …
