Communication Technology and New Media Commons^™

Developing A Digital Contents Valuing Model: How Users Appreciate Their Values, Changsu Kim, Jongheon Kim

Journal of International Technology and Information Management

The principal objective of this paper was to propose and verify a digital content valuing model, which is expected to perform a significant role in future research, and provide novel and practical implications. For the efficacy of a model for the evaluation of digital content value, this study reviewed digital content value and categorized it into intrinsic, interaction, and business value. Based on the research model, we attempted to identify and assess the effects of intrinsic digital content value on digital content interaction value, and to characterize the relationship between digital content interaction value and digital content business value. Consequently, …

An Integrative Model Of Managing Software Security During Information Systems Development, Vijay Raghavan, Xiaoni Zhang

Journal of International Technology and Information Management

This study investigates the critical relationship between organizational system development policies, procedures and processes and the resulting security quality of the systems developed. We draw from a general software quality model to provide a theoretical foundation for testing this relationship. We used paper-based survey as well as online surveys to collect data from software developers and project managers. Our results revealed a significant relationship between management support and security policies and development process control. We also found significant relationships between development-process control and security quality, attitude and security quality, and the interaction between value congruence and commitment to provide security …

Data Protection In Nigeria: Addressing The Multifarious Challenges Of A Deficient Legal System, Roland Akindele

Journal of International Technology and Information Management

This paper provides an overview of the current state of privacy and data protection policies and regulations in Nigeria. The paper contends that the extant legal regime in Nigeria is patently inadequate to effectively protect individuals against abuse resulting from the processing of their personal data. The view is based on the critical analysis of the current legal regime in Nigeria vis-à-vis the review of some vital data privacy issues. The paper makes some recommendations for the reform of the law.

Privacy Risks And Security Threats In Mhealth Apps, Brinda Hansraj Sampat, Bala Prabhakar

Journal of International Technology and Information Management

mHealth (Mobile Health) applications (apps) have transformed the doctor-patient relationship. They help users with varied functionalities such as monitoring their health, understanding specific health conditions, consulting doctors online and achieving fitness goals. Whilst these apps provide an option of equitable and convenient access to healthcare, a lot of personal and sensitive data about users is collected, stored and shared to achieve these functionalities. Little is known about the privacy and security concerns these apps address. Based on literature review, this paper identifies the privacy risks and security features for evaluating thirty apps in the Medical category across two app distribution …

Table Of Contents Jitim Vol 26 Issue 4, 2017

Journal of International Technology and Information Management

Table of Contents

Mobile Banking As A Mechanism To Increase Access To Financial Services, Luisa Blanco, C. Andrew Bosque, Xizhu Wang

School of Public Policy Working Papers

We study the determinants of mobile banking adoption, with a special interest on how mobile banking can increase access to financial services among racial and ethnic minorities in the United States. In our analysis, we use survey data from two different sources: 1) Survey of Consumers' Use of Mobile Financial Services (SCUMFS) We conduct a regression analysis and Oaxaca Decomposition to determine the explanatory factors of racial and ethnic gaps in bank account ownership. We find that minorities are less likely to use mobile banking than Whites in the NSUUH, but more likely to adopt mobile banking according to SCUMFS, …

Mobile Data Roaming And Incentives For Investment In Rural Broadband Infrastructure, James Prieger

School of Public Policy Working Papers

Mobile broadband Internet access is highly important to the American economy and millions of users. There were almost 200 million mobile broadband connections by the end of 2013 in the United States, far more than the number of fixed broadband connections (FCC, 2014a, Table 1). The economic activity created by the provision and usage of mobile broadband is sizeable, and has been documented at the national level (Gruber and Koutroumpis, 2011; Thompson and Garbacz, 2011; Katz, 2012) and specifically for rural areas (Whitacre, Gallardo, and Strover, 2014). The benefits of mobile broadband—and indeed the entire broadband ecosystem—depend on investment in …

Understanding The Determinants Affecting The Continuance Intention To Use Cloud Computing, Shailja Tripathi Dr.

Journal of International Technology and Information Management

Cloud computing has been progressively implemented in the organizations. The purpose of the paper is to understand the fundamental factors influencing the senior manager’s continuance intention to use cloud computing in organizations. A conceptual framework was developed by using the Technology Acceptance Model (TAM) as a base theoretical model. A questionnaire was used to collect the data from several companies in IT, manufacturing, finance, pharmaceutical and retail sectors in India. The data analysis was done using structural equation modeling technique. Perceived usefulness and perceived ubiquity are identified as important factors that affect continuance intention to use cloud computing. In addition, …

Developing Ict Skills Of Stem Teachers In Mexico: The Key Role Of The Tutorial Function, Alexander N. Chen, David Mccalman, Mark E. Mcmurtrey, J. Gabriel Domínguez Castillo, Víctor Manuel Cab Pech

Journal of International Technology and Information Management

It is well documented in distance education literature that one of the factors that are considered essential to the success of an online course is the tutorial function. The role of counselor consists of assisting and encouraging students, building learning activities, and developing support strategies for the use of technology. The tutor thus was assessed as one element of great importance in on-line education, and, to some, an essential feature of this mode. In this paper, the importance of the tutorial function and its effect on the development of skills for using information and communication technology (ICT) in science, technology, …

Table Of Contents Jitim Vol 26 Issue 3, 2017

Journal of International Technology and Information Management

Table of Contents

Discovering Explanatory Models To Identify Relevant Tweets On Zika, Roopteja Muppalla, Michele Miller, Tanvi Banerjee, William L. Romine

Kno.e.sis Publications

Zika virus has caught the worlds attention, and has led people to share their opinions and concerns on social media like Twitter. Using text-based features, extracted with the help of Parts of Speech (POS) taggers and N-gram, a classifier was built to detect Zika related tweets from Twitter. With a simple logistic classifier, the system was successful in detecting Zika related tweets from Twitter with a 92% accuracy. Moreover, key features were identified that provide deeper insights on the content of tweets relevant to Zika. This system can be leveraged by domain experts to perform sentiment analysis, and understand the …

Reconceptualizing The Work Of A Content Provider For An Online Audience: A Case Study For How Pedagogical Strategies Can Provide Models Of Engagement For Producers Of Entertainment, Diane Cooke

English Theses & Dissertations

With the interconnectivity of the Internet, and the availability of affordable media compositional tools, the proliferation of online media continues to grow exponentially. However, each day is still comprised of a fixed 24 hours, with far fewer hours spent in active media consumption. Considering the global potential for content to be found (Moreville), discovered (Cormier) or spread (Jenkins), content providers are looking for ways to attract, cultivate and hopefully expand their audiences amid all this digital clutter. In the field of entertainment, this challenge is complicated when small content providers are not aligned with an online, curated network such as …

A Knowledge Graph Framework For Detecting Traffic Events Using Stationary Cameras, Roopteja Muppalla, Sarasi Lalithsena, Tanvi Banerjee, Amit Sheth

Kno.e.sis Publications

With the rapid increase in urban development, it is critical to utilize dynamic sensor streams for traffic understanding, especially in larger cities where route planning or infrastructure planning is more critical. This creates a strong need to understand traffic patterns using ubiquitous sensors to allow city officials to be better informed when planning urban construction and to provide an understanding of the traffic dynamics in the city. In this study, we propose our framework ITSKG (Imagery-based Traffic Sensing Knowledge Graph) which utilizes the stationary traffic camera information as sensors to understand the traffic patterns. The proposed system extracts image-based features …

Comparative Analysis Of Big Data Analytics Software In Assessing Sample Data, Soly Mathew Biju, Alex Mathew

Journal of International Technology and Information Management

Over the last few years, big data has emerged as an important topic of discussion in most firms owing to its ability of creation, storage and processing of content at a reasonable price. Big data consists of advanced tools and techniques to process large volumes of data in organisations. Investment in big data analytics has almost become a necessity in large-sized firms, particularly multinational companies, for its unique benefits, particularly in prediction and identification of various trends. Some of the most popular big data analytics software used today are MapReduce, Hive, Tableau and Hive, while the framework Hadoop enables easy …

Table Of Contents Jitim Vol 26 Issue 2, 2017

Journal of International Technology and Information Management

Table of Contents JITIM vol 26 issue 2, 2017

Information Sharing, Transparency, And E-Governance Among County Government Offices In Southeastern Michigan, Lawrence Bosek

All NMU Master's Theses

The Internet has given rise to the availability of information at our fingertips. While the public, particularly consumers, are more commonly described as being the leading users and beneficiaries of electronic information services, businesses and governments are also players in the arena for sharing official information. Information can be easily stored on Internet websites for the public, businesses, and other governmental offices to search and peruse when needed. This study examined the ease of locating county governmental information, such as contact information for public officials and financial reports, and surveyed elected county officials for purposes of identifying how information is …

Who R U? Identity Theft And Unl Students, Marcia L. Dority Baker, Cheryl O'Dell

Information Technology Services: Publications

How can academic institutions help educate their students about the risks of identity theft? Or teach students to better understand how one’s online presence can hold so much joy and angst? For one campus, the University of Nebraska–Lincoln, the opportunity came from a middle school teacher engaging his students in a future problem-solving activity. UNL had the opportunity to create a 45-minute presentation on identity theft for local public school students who would be spending the day on campus researching this topic.

While preparing the presentation, we realized a top 10 list on identity theft for UNL students would be …

Eassistant: Cognitive Assistance For Identification And Auto-Triage Of Actionable Conversations, Hamid R. Motahari Nezhad, Kalpa Gunaratna, Juan Cappi

Kno.e.sis Publications

The browser and screen have been the main user interfaces of the Web and mobile apps. The notification mechanism is an evolution in the user interaction paradigm by keeping users updated without checking applications. Conversational agents are posed to be the next revolution in user interaction paradigms. However, without intelligence on the triage of content served by the interaction and content differentiation in applications, interaction paradigms may still place the burden of information overload on users. In this paper, we focus on the problem of intelligent identification of actionable information in the content served by applications, and in particular in …

What Are People Tweeting About Zika? An Exploratory Study Concerning Its Symptoms, Treatment, Transmission, And Prevention, Michele Miller, Tanvi Banerjee, Roopteja Muppalla, William L. Romine, Amit Sheth

Kno.e.sis Publications

Background: In order to harness what people are tweeting about Zika, there needs to be a computational framework that leverages machine learning techniques to recognize relevant Zika tweets and, further, categorize these into disease-specific categories to address specific societal concerns related to the prevention, transmission, symptoms, and treatment of Zika virus.

Objective: The purpose of this study was to determine the relevancy of the tweets and what people were tweeting about the 4 disease characteristics of Zika: symptoms, transmission, prevention, and treatment.

Methods: A combination of natural language processing and machine learning techniques was used to determine what people were …

Communication Through Social Technologies: A Study Of Israeli Women, Jeretta Horn Nord 405-747-0320, Dafni Biran Achituv, Joanna Paliszkiewicz

Journal of International Technology and Information Management

Social technologies have changed the way we communicate allowing users to interact, share knowledge, reach out to friends and family, keep up with the news, and even promote and support a business. A study of Israeli women was conducted to determine how social technologies platforms — Facebook, Twitter, LinkedIn, YouTube, and Google+ — are used and the benefits realized. Women worldwide face challenges including economic, educational, health, and political. Israel women, like women in every other country in the world, are challenged with gender inequity. Do women who use social technologies believe that these platforms provide empowerment leading to greater …

Identifying Depressive Disorder In The Twitter Population, Goonmeet Bajaj, Amir Hossein Yazdavar, Krishnaprasad Thirunarayan, Amit Sheth

Kno.e.sis Publications

Depression is a highly prevalent public health challenge and a major cause of disability across the globe.

• Annually 6.7% of Americans (that is, more than 16 million).
• Traditional approaches to curb depression involve survey·based methods via phone or online questionnaires.
• Large temporal gaps and cognitive bias.

Social media provides a method for learning users' feelings, emotions, behaviors, and decisions in real-time.

A Novel Approach For Classifying Gene Expression Data Using Topic Modeling, Soon Jye Kho, Himi Yalamanchili, Michael L. Raymer, Amit Sheth

Kno.e.sis Publications

Understanding the role of differential gene expression in cancer etiology and cellular process is a complex problem that continues to pose a challenge due to sheer number of genes and inter-related biological processes involved. In this paper, we employ an unsupervised topic model, Latent Dirichlet Allocation (LDA) to mitigate overfitting of high-dimensionality gene expression data and to facilitate understanding of the associated pathways. LDA has been recently applied for clustering and exploring genomic data but not for classification and prediction. Here, we proposed to use LDA inclustering as well as in classification of cancer and healthy tissues using lung cancer …

Road Accidents Bigdata Mining And Visualization Using Support Vector Machines, Usha Lokala, Srinivas Nowduri, Prabhakar K. Sharma

Kno.e.sis Publications

Useful information has been extracted from the road accident data in United Kingdom (UK), using data analytics method, for avoiding possible accidents in rural and urban areas. This analysis make use of several methodologies such as data integration, support vector machines (SVM), correlation machines and multinomial goodness. The entire datasets have been imported from the traffic department of UK with due permission. The information extracted from these huge datasets forms a basis for several predictions, which in turn avoid unnecessary memory lapses. Since data is expected to grow continuously over a period of time, this work primarily proposes a new …

Relatedness-Based Multi-Entity Summarization, Kalpa Gunaratna, Amir Hossein Yazdavar, Krishnaprasad Thirunarayan, Amit Sheth, Gong Cheng

Kno.e.sis Publications

Representing world knowledge in a machine processable format is important as entities and their descriptions have fueled tremendous growth in knowledge-rich information processing platforms, services, and systems. Prominent applications of knowledge graphs include search engines (e.g., Google Search and Microsoft Bing), email clients (e.g., Gmail), and intelligent personal assistants (e.g., Google Now, Amazon Echo, and Apple’s Siri). In this paper, we present an approach that can summarize facts about a collection of entities by analyzing their relatedness in preference to summarizing each entity in isolation. Specifically, we generate informative entity summaries by selecting: (i) inter-entity facts that are similar and …

A Semantics-Based Measure Of Emoji Similarity, Sanjaya Wijeratne, Lakshika Balasuriya, Amit Sheth, Derek Doran

Kno.e.sis Publications

Emoji have grown to become one of the most important forms of communication on the web. With its widespread use, measuring the similarity of emoji has become an important problem for contemporary text processing since it lies at the heart of sentiment analysis, search, and interface design tasks. This paper presents a comprehensive analysis of the semantic similarity of emoji through embedding models that are learned over machine-readable emoji meanings in the EmojiNet knowledge base. Using emoji descriptions, emoji sense labels and emoji sense definitions, and with different training corpora obtained from Twitter and Google News, we develop and test …

Table Of Contents Jitim Vol 26 Issue 1, 2017, Robert P. Schumaker

Journal of International Technology and Information Management

Table of Contents JITIM vol 26 issue 1, 2017

Myomlab As An Enabling E-Learning Technology: Bridging The Gap Between Student- And Instructor-Centered Learning, Mahesh Gupta 8524783

Journal of International Technology and Information Management

Technology is continually allowing educators to combine didactic and democratic approaches to facilitate learning and producing successful managers. This paper discusses how one such technology, myOMlab—integrated within a learning management system, Blackboard—can deliver core operations management course, catered primarily to working students i.e., interns and future managers. To confront the bias against online education and engage in serious research on online education, we share our experiences of teaching one semester-long online course. Although robust research evidence is yet to be gathered to convince educators about its benefits, we propose a set of successful myOMlab activities (including manual and Excel-based Dice …

How We Got Here: Connectivity, Creativity, Confluence And Internet Culture, Tziporah Stern, Linda Wieser Friedman, Hershey H. Friedman

Journal of International Technology and Information Management

There are more innovations today than at any time in human history. The companies that value creativity and diversity of ideas in their hires are the ones most likely to thrive. Indeed, the key asset of a corporation is the abilities, innovativeness, and creativity of its employees. The authors construct a timeline of critical events leading up to today’s highly networked and interconnected world with its ubiquitous social media technologies. The current state has been influenced by advances in media, technology, military defense, and commerce. One trend that stands out in this timeline is the increasing rate of change. It …

Cloud Computing Technology: Leveraging The Power Of The Internet To Improve Business Performance, Mohsen Attaran

Journal of International Technology and Information Management

In recent years, Cloud Computing Technology (CCT) has emerged as a meaningful technology that could contribute to operational efficiency of an IT platform by providing infrastructure and software solutions for the whole IT needs of an enterprise via Internet. The cloud has revolutionized IT infrastructure. It is predicted that 2017 will mark the rapid proliferation of enterprises transitioning to the cloud-based computing technology. The utilization of this innovative technology makes collaboration easier among companies and has the potential to create financial and operational benefits. This study discusses potential strategic benefits of this technology, highlights its evolving technologies and trends and …

Cyber Security, Threat Intelligence: Defending The Digital Platform, Emmnauel U. Opara Dr, Mohammed T. Hussein Dr

Journal of International Technology and Information Management

Network breaches are happening at a phenomenal scale. The unabated exponential level is forcing enterprise systems to scramble for solutions since the world is so interconnected and digitized and the internet knows no boundaries. Due to big data explosion, the platform for attackers to work continues to grow. Most breached entities are not aware that they have been compromised for weeks but finds out after an external audit or a third party notifies the organizations. Since most networks will be breached at some point, it is proper to note that legacy platforms will no longer stand a chance to defend …