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Articles 121 - 150 of 166
Full-Text Articles in Social Media
Why Mobile Money Users Keep Increasing? Investigating The Continuance Usage Of Mobile Money Services In Tanzania, Daniel Koloseni, Herman Mandari
Why Mobile Money Users Keep Increasing? Investigating The Continuance Usage Of Mobile Money Services In Tanzania, Daniel Koloseni, Herman Mandari
Journal of International Technology and Information Management
This study examined factors that affect continuance usage of mobile money services in Tanzania. The Theory of Planned Behavior was adopted as a theoretical foundation of the study. The theory was further extended by including the constructs of perceived cost, perceived trust and satisfaction as determinants of mobile money service continuance usage behaviour. A total of 309 valid and reliable responses collected using questionnaires were used for data analysis. The data were analysed using Structural Equation Modeling (SEM) approach. The findings depict that perceived trust, attitude and perceived behavioral control have significant influence on continuance behavioral intention while perceived trust, …
From Footprint To Evidence: An Exploratory Study Of Mining Social Data For Credit Scoring, Guangming Guo, Feida Zhu, Enhong Chen, Qi Liu, Le Wu, Chu Guan
From Footprint To Evidence: An Exploratory Study Of Mining Social Data For Credit Scoring, Guangming Guo, Feida Zhu, Enhong Chen, Qi Liu, Le Wu, Chu Guan
Research Collection School Of Computing and Information Systems
With the booming popularity of online social networks like Twitter and Weibo, online user footprints are accumulating rapidly on the social web. Simultaneously, the question of how to leverage the large-scale user-generated social media data for personal credit scoring comes into the sight of both researchers and practitioners. It has also become a topic of great importance and growing interest in the P2P lending industry. However, compared with traditional financial data, heterogeneous social data presents both opportunities and challenges for personal credit scoring. In this article, we seek a deep understanding of how to learn users’ credit labels from social …
Hashtag Recommendation With Topical Attention-Based Lstm, Yang Li, Ting Liu, Jing Jiang, Liang Zhang
Hashtag Recommendation With Topical Attention-Based Lstm, Yang Li, Ting Liu, Jing Jiang, Liang Zhang
Research Collection School Of Computing and Information Systems
Microblogging services allow users to create hashtags to categorize their posts. In recent years,the task of recommending hashtags for microblogs has been given increasing attention. However,most of existing methods depend on hand-crafted features. Motivated by the successful use oflong short-term memory (LSTM) for many natural language processing tasks, in this paper, weadopt LSTM to learn the representation of a microblog post. Observing that hashtags indicatethe primary topics of microblog posts, we propose a novel attention-based LSTM model whichincorporates topic modeling into the LSTM architecture through an attention mechanism. Weevaluate our model using a large real-world dataset. Experimental results show that …
Jitim Volume 25 Issue 3 - Front Page
Jitim Volume 25 Issue 3 - Front Page
Journal of International Technology and Information Management
JITIM volume 25, issue 3
Content Mining Techniques For Detecting Cyberbullying In Social Media, Shawniece L. Parker, Yen-Hung Hu
Content Mining Techniques For Detecting Cyberbullying In Social Media, Shawniece L. Parker, Yen-Hung Hu
Virginia Journal of Science
The use of social media has become an increasingly popular trend, primarily among teenagers. A major problem concerning teens using social media is that they are often unaware of the dangers involved when using these media. They are also more inclined to misuse social media because they are often unaware of the privacy rights associated with their use, or the rights of other users. As a result, cyberbullying cases have steadily risen in recent years, often going undiscovered or not being discovered until serious harm has been caused to the victims. This study aims to create an effective algorithm that …
An Exploration Of Mobile Device Security Artifacts At Institutions Of Higher Education, Amita Goyal Chin, Diania Mcrae, Beth H. Jones, Mark A. Harris
An Exploration Of Mobile Device Security Artifacts At Institutions Of Higher Education, Amita Goyal Chin, Diania Mcrae, Beth H. Jones, Mark A. Harris
Journal of International Technology and Information Management
The explosive growth and rapid proliferation of smartphones and other mobile
devices that access data over communication networks has necessitated advocating
and implementing security constraints for the purpose of abetting safe computing.
Remote data access using mobile devices is particularly popular among students at
institutions of higher education. To ensure safe harbor for constituents, it is
imperative for colleges and universities to establish, disseminate, and enforce
mobile device security artifacts, where artifacts is defined as policies, procedures,
guidelines or other documented or undocumented protocols. The purpose of this
study is to explore the existence of, specific content of, and the …
Motivations For Social Network Site (Sns) Gaming: A Uses And Gratification & Flow Perspective, Brinda Sampat, Bala Krishnamoorthy
Motivations For Social Network Site (Sns) Gaming: A Uses And Gratification & Flow Perspective, Brinda Sampat, Bala Krishnamoorthy
Journal of International Technology and Information Management
The penetration of the internet, smart-phones and tablets has witnessed tremendous increase in the number of people playing online games in the past few years. Social networking site (SNS) games are a subset of digital games. They are platform based, multiplayer and reveal the real identity of the player. These games are hosted on social networks such as Facebook, where in people play with many other players online. The risks associated with social network gaming are addiction, theft, fraud, loneliness, anxiety, aggression, poor academic performance, cognition distortion etc. This study aims to understand the user motivations to continue to play …
The Impact Of Analytics Utilization On Team Performance: Comparisons Within And Across The U.S. Professional Sports Leagues, Lee A. Freeman
The Impact Of Analytics Utilization On Team Performance: Comparisons Within And Across The U.S. Professional Sports Leagues, Lee A. Freeman
Journal of International Technology and Information Management
Business analytics, defined as the use of data to make better, more relevant, evidence-based business decisions, has received a great deal of attention in practitioner circles. Organizations have adopted business analytics in an effort to improve revenue, product placement, and customer satisfaction. Professional sports teams are no different. While analytics has been used for over 30 years, the use of analytics by professional sports teams is a relatively new concept. However, it is unclear whether the teams that have adopted analytics are seeing any results. If not, then perhaps analytics is not the right solution. Analyses across the four, major …
A Data-Centric Analysis On Stem Majoring And Success: Attitude And Readiness, Xin James He, Myron Sheu, Jie Tao
A Data-Centric Analysis On Stem Majoring And Success: Attitude And Readiness, Xin James He, Myron Sheu, Jie Tao
Journal of International Technology and Information Management
This research studies attitude and readiness of STEM majoring and success with
the data from a survey with a total of 501 viable responses, with respect to STEM
(science, technology, engineering, and mathematics) related majors that are
essential and fundamental to skills relevant to big data business analytics.
Recruiting and keeping students in STEM areas have attracted a large body of
attention in pedagogical studies. An effective way of achieving such a goal is to
show them how rewarding and self-fulfilling STEM careers can be toward
perspective students. One example of the abundance of STEM careers is the rapid
growth …
Prediction And Recommendations On The It Leaners' Learning Path As A Collective Intelligence Using A Data Mining Technique, Seong-Yong Hong, Juyun Cho, Yonghyun Hwang
Prediction And Recommendations On The It Leaners' Learning Path As A Collective Intelligence Using A Data Mining Technique, Seong-Yong Hong, Juyun Cho, Yonghyun Hwang
Journal of International Technology and Information Management
With the recent advances in computer technology along with pervasive internet accesses, data analytics is getting more attention than ever before. In addition, research areas on data analysis are diverging and integrating lots of different fields such as a business and social sector. Especially, recent researches focus on the data analysis for a better intelligent decision making and prediction system. This paper analyzes data collected from current IT learners who have already studied various IT subjects to find the IT learners’ learning patterns. The most popular learning patterns are identified through an association rule data mining using an arules package …
Privacy And The Information Age: A Longitudinal View, Charles E. Downing
Privacy And The Information Age: A Longitudinal View, Charles E. Downing
Journal of International Technology and Information Management
As information systems and data storage capacity become increasingly sophisticated, an important ethical question for organizations is “What can/will/should be done with the personal information that has been and can be collected?” Individuals’ privacy is certainly important, but so is less costly and more targeted business processes. As this conflict intensifies, consumers, managers and policy makers are left wondering: What privacy principles are important to guide organizations in self-regulation? For example, do consumers view the five rights originally stated in the European Data Protection Directive as important? Comprehensive? Is there a product discount point where consumers would forsake these principles? …
An Empirical Investigation On Ceo Turnover In It Firms And Firm Performance, Peiqin Zhang, David Wierschem, Francis A. Mendez Mediavilla, Keejae P. Hong
An Empirical Investigation On Ceo Turnover In It Firms And Firm Performance, Peiqin Zhang, David Wierschem, Francis A. Mendez Mediavilla, Keejae P. Hong
Journal of International Technology and Information Management
Drawn upon upper echelon theory and organizational theory, this research proposes to examine the impact of CEO turnover in IT firms on firm performance in terms of both sustainable accounting performance and market performance. We find that CEO turnover is a significant determinant of firm performance, especially in IT firms. This paper contributes to the IS literature by investigating the CEO turnover impact in IT firms compared to other industries. This study also has practical implications by providing the guideline for IT firms on the CEO turnover policy. Such firms should place additional emphasis on their succession planning efforts.
Facebook Use Among African American And Hispanic Students: An Exploratory Investigation Of Perceived Academic Impact, Sathasivam Mathiyalakan, Sharon D. White, Jorge O. Brusa
Facebook Use Among African American And Hispanic Students: An Exploratory Investigation Of Perceived Academic Impact, Sathasivam Mathiyalakan, Sharon D. White, Jorge O. Brusa
Journal of International Technology and Information Management
Facebook is one of the world’s leading social networking sites. It is pervasive in students’ lives and can impact their academic careers in a variety of ways. However, little research exists evaluating the use of Facebook in minority academic settings. An early step in this direction is to gain an understanding of how different student demographic groups use Facebook. An interest in further assessment of Facebook’s role in diverse segments of academia motivates the collection and analysis of Facebook-related data from minority serving institutions such as Historically Black Colleges or Universities (HBCUs) and Hispanic Serving Institutions (HSIs). This study presents …
Crowdsourcing Management Education Assessment, Owen P. Hall Jr, Charla Griffy-Brown
Crowdsourcing Management Education Assessment, Owen P. Hall Jr, Charla Griffy-Brown
Journal of International Technology and Information Management
Assessment is now at the center of the new business education zeitgeist. This focus is the direct result of feedback from the business community regarding the growing gap between their needs and graduates from many business schools. Recently this divide has fallen under even closer scrutiny because of increasing student debt and the growing controversy over return-on- investment. Today business leaders are looking for web-savvy, problem-solving graduates. To this end, AACSB and regional accrediting bodies are calling for the adoption of comprehensive collaborative learning strategies to better align graduates’ skill sets with the real needs of business. Crowdsourcing, which is …
Towards A Taxonomy Of Challenges In An Integrated It Governance Framework Implementation, Mathew Nicho, Suadad Muamaar
Towards A Taxonomy Of Challenges In An Integrated It Governance Framework Implementation, Mathew Nicho, Suadad Muamaar
Journal of International Technology and Information Management
The rapid adoption of IT governance (ITG) frameworks in organizations worldwide, along with the subsequent need to select and integrate overlapping ITG frameworks has presented practitioners with challenges in choice and integration of frameworks. In this respect, the purpose of this study was to explore the ITG frameworks integration (ITGFI) challenges faced by organizations worldwide; develop and test a theory-based integrated ITG challenges (IIC) taxonomy model created from extant literature; and validate and compare these with those empirically extracted from three case studies in the United Arab Emirates (UAE). The results present the audience with a taxonomy of a prioritized …
Comparative Empirical Analysis On Computer Software Piracy Behaviors Between China And The United States: An Exploratory Study, Xiang Fang, Sooun Lee
Comparative Empirical Analysis On Computer Software Piracy Behaviors Between China And The United States: An Exploratory Study, Xiang Fang, Sooun Lee
Journal of International Technology and Information Management
Using the data collected from several universities in China and the United States, which have drastically different piracy rates, economic development stages, income levels, and national cultures, this study aims to identify which demographic factors affect software piracy significantly. Totally, the dataset includes 600 valid responses. Multivariate data analysis, supported by Multivariate Analysis of Variance and Turkey’s test, reveals that among various factors, country difference and gender most significantly influence software piracy. In addition, this study offers recommendations on how to curb software piracy effectively.
Trends In Commercial-Off-The-Shelf Vs. Proprietary Applications, Vijay K. Agrawal, Vipin K. Agrawal, A. Ross Taylor
Trends In Commercial-Off-The-Shelf Vs. Proprietary Applications, Vijay K. Agrawal, Vipin K. Agrawal, A. Ross Taylor
Journal of International Technology and Information Management
This study examines factors valued by IS managers in deciding if COTS software is a viable alternative to proprietary software. The results indicate managers who anticipate increased usage of COTS packages in 5 years used the same top three factors in the formation of their decisions to adopt COTS as their colleagues who anticipated either zero change in COTS usage or an increased usage of proprietary software used in deciding not to adopt COTS software. Managers anticipating increased COTS usage had a statistically significant higher value for each of those items compared to managers not anticipating growth in COTS software.
Online Trust Cues: Perceptions And Application, Antonina A. Bauman
Online Trust Cues: Perceptions And Application, Antonina A. Bauman
Journal of International Technology and Information Management
This qualitative study analyzes perceptions of online trust cues as identified by shoppers from three countries: Germany, Russia, and the USA. A novel approach of the repertory grid method is used to study online trust cues in business-to-consumers commercial online transactions. This study resulted in the list of web site elements and features that consumers recognize as trust cues and use to evaluate e-vendor’s trustworthiness. Findings show that out of fourteen categories of online trust cues, identified by online shoppers, three categories of online trust cues are found to be common across three cultures while eleven categories are culture specific. …
Evaluation Of Classification And Ensemble Algorithms For Bank Customer Marketing Response Prediction, Olatunji Apampa
Evaluation Of Classification And Ensemble Algorithms For Bank Customer Marketing Response Prediction, Olatunji Apampa
Journal of International Technology and Information Management
This article attempts to improve the performance of classification algorithms used in the bank customer marketing response prediction of an unnamed Portuguese bank using the Random Forest ensemble. A thorough exploratory data analysis (EDA) was conducted on the data in order to ascertain the presence of anomalies such as outliers and extreme values. The EDA revealed that the bank data had 45, 211 instances and 17 features, with 11.7% positive responses. This was in addition to the detection of outliers and extreme values. Classification algorithms used for modelling the bank dataset include; Logistic Regression, Decision Tree, Naïve Bayes and the …
The Perceived Business Benefit Of Cloud Computing: An Exploratory Study, Thomas Chen, Ta-Tao Chuang, Kazuo Nakatani
The Perceived Business Benefit Of Cloud Computing: An Exploratory Study, Thomas Chen, Ta-Tao Chuang, Kazuo Nakatani
Journal of International Technology and Information Management
The objective of the research is to study the benefits of cloud computing perceived by adopters and examine the impact of moderating factors on the relationship between the type of cloud computing and the perceived benefit. The moderating factors include firm size and value-chain activities. A measurement instrument of a 5-point Likert scale was administered on businesses of different sizes in Taiwan. The benefit of cloud computing measured in the study were: cost reduction, improved capability and enhanced scalability. The results show that the perceived benefit of cloud computing varies depending on the type of cloud computing, the value chain …
Table Of Contents
Journal of International Technology and Information Management
Table of Contents for Volume 25 Number 4
Conceptual Models On The Effectiveness Of E-Marketing Strategies In Engaging Consumers, Cheristena Bolos, Efosa C. Idemudia, Phoebe Mai, Mahesh Rasinghani, Shelley Smith
Conceptual Models On The Effectiveness Of E-Marketing Strategies In Engaging Consumers, Cheristena Bolos, Efosa C. Idemudia, Phoebe Mai, Mahesh Rasinghani, Shelley Smith
Journal of International Technology and Information Management
Effective marketing has always been an important factor in business success. Without the ability to identify customers and convince them to purchase the product or service being offered, businesses would not survive. Recent advancements in technology have given rise to new opportunities to engage customers through the use of electronic marketing (e-marketing). E- marketing draws from traditional marketing principles, while also expanding the types of strategies available to companies. Websites, social media, and online marketplaces are just some examples of how businesses are leveraging e-marketing approaches to connect with potential customers. In formulating sound e-marketing strategies, it is important for …
Healthcare System-Use Behavior: A Systematic Review Of Its Determinants, Jiming Wu
Healthcare System-Use Behavior: A Systematic Review Of Its Determinants, Jiming Wu
Journal of International Technology and Information Management
To understand patient and physician behavior, researchers have investigated the determinants of using healthcare information systems. Although this stream of research has produced important findings, it has yet to appreciably advance our understanding of system-use behavior in healthcare. To fill this gap, the current paper employs a systematic review to synthesize past research, reveal the key determinants of healthcare system usage, and illuminate a deeper understanding of the topic. This study thus helps healthcare researchers expand their baseline knowledge of these core determinants and conduct more fruitful future research on system-use behavior in healthcare.
Social Signal Processing For Real-Time Situational Understanding: A Vision And Approach, Kasthuri Jeyarajah, Shuchao Yao, Raghava Muthuraju, Archan Misra, Geeth De Mel, Julie Skipper, Tarek Abdelzaher, Michael Kolodny
Social Signal Processing For Real-Time Situational Understanding: A Vision And Approach, Kasthuri Jeyarajah, Shuchao Yao, Raghava Muthuraju, Archan Misra, Geeth De Mel, Julie Skipper, Tarek Abdelzaher, Michael Kolodny
Research Collection School Of Computing and Information Systems
The US Army Research Laboratory (ARL) and the Air Force Research Laboratory (AFRL) have established a collaborative research enterprise referred to as the Situational Understanding Research Institute (SURI). The goal is to develop an information processing framework to help the military obtain real-time situational awareness of physical events by harnessing the combined power of multiple sensing sources to obtain insights about events and their evolution. It is envisioned that one could use such information to predict behaviors of groups, be they local transient groups (e.g., protests) or widespread, networked groups, and thus enable proactive prevention of nefarious activities. This paper …
Network Structure, Network Flows And The Phenomenon Of Influence In Online Social Networks: An Exploratory Empirical Study Of Twitter Conversations About Youtube Product Categories, Nitin Venkat Mayande
Network Structure, Network Flows And The Phenomenon Of Influence In Online Social Networks: An Exploratory Empirical Study Of Twitter Conversations About Youtube Product Categories, Nitin Venkat Mayande
Dissertations and Theses
Traditional marketing models are swiftly being upended by the advent of online social networks. Yet, practicing firms that are engaging with online social networks neither have a reliable theory nor sufficient practical experience to make sense of the phenomenon. Extant theory in particular is based on observations of the real world, and may thus not apply to online social networks. Practicing firms may consequently be misallocating a large amount of resources, simply because they do not know how the online social networks with which they interact are organized.
The purpose of this dissertation is to investigate how online social networks …
Detecting, Modeling, And Predicting User Temporal Intention, Hany M. Salaheldeen
Detecting, Modeling, And Predicting User Temporal Intention, Hany M. Salaheldeen
Computer Science Theses & Dissertations
The content of social media has grown exponentially in the recent years and its role has evolved from narrating life events to actually shaping them. Unfortunately, content posted and shared in social networks is vulnerable and prone to loss or change, rendering the context associated with it (a tweet, post, status, or others) meaningless. There is an inherent value in maintaining the consistency of such social records as in some cases they take over the task of being the first draft of history as collections of these social posts narrate the pulse of the street during historic events, protest, riots, …
Using Support Vector Machine Ensembles For Target Audience Classification On Twitter, Siaw Ling Lo, Raymond Chiong, David Cornforth
Using Support Vector Machine Ensembles For Target Audience Classification On Twitter, Siaw Ling Lo, Raymond Chiong, David Cornforth
Research Collection School Of Computing and Information Systems
The vast amount and diversity of the content shared on social media can pose a challenge for any business wanting to use it to identify potential customers. In this paper, our aim is to investigate the use of both unsupervised and supervised learning methods for target audience classification on Twitter with minimal annotation efforts. Topic domains were automatically discovered from contents shared by followers of an account owner using Twitter Latent Dirichlet Allocation (LDA). A Support Vector Machine (SVM) ensemble was then trained using contents from different account owners of the various topic domains identified by Twitter LDA. Experimental results …
From The Desk Of The Editor
Journal of International Technology and Information Management
No abstract provided.
Re-Examining Resistance: Fan-Produced Queer Readings And Teen Wolf, Joshua J. Espinoza
Re-Examining Resistance: Fan-Produced Queer Readings And Teen Wolf, Joshua J. Espinoza
Open Access Theses & Dissertations
MTV's popular television series, Teen Wolf (2011), has amassed a large online following of fans that create their own queer narratives through fan-fiction, subverting the show's hegemonic heteronormativity. Through a textual thematic analysis of Teen Wolf, this case study illustrates how online fandoms can subvert hegemony through queer readings of literary characters, resisting the dominant heteronormativity on network television. This article argues that rearticulating the showâ??s narratives into queer readings functions as a form of LGBT resistance, effectively counteracting the heteronormativity and hegemony portrayed on screen. This study examines how Teen Wolf approaches queer content, including homoeroticism and LGBT themes …
Table Of Contents
Journal of International Technology and Information Management
No abstract provided.