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Articles 421 - 450 of 886
Full-Text Articles in Databases and Information Systems
Exploring Leader-Initiated Change Management For Adopting Cloud Services, Nancy Marie Landreville
Exploring Leader-Initiated Change Management For Adopting Cloud Services, Nancy Marie Landreville
Walden Dissertations and Doctoral Studies
Cloud technology requires a virtualized ubiquitous and scalable environment with shared resources. The general problem in cloud adoption is the absence of standardization across organizations. A standardized approach remained elusive since the inception of the Cloud First mandate. The purpose of this study was to explore leader-initiated change management (LICM) practices in cloud adoption within organizations. The theoretical framework included the classical theories of Kurt Lewin's organization change management, leader-member exchange, intentional change, and appreciative inquiry. A multiple case study design approach facilitated the exploration of LICM-value added practices to identify standardization in cloud adoption practices. Data collection included semistructured …
Electronic Warrant Systems: The Effect Of Advanced Technologies On Arrest Performance, Gerald Lee Ward
Electronic Warrant Systems: The Effect Of Advanced Technologies On Arrest Performance, Gerald Lee Ward
Walden Dissertations and Doctoral Studies
Public safety is negatively affected when arrest warrant information is not available to law enforcement officers, judges, prosecutors, and other criminal justice practitioners. The U.S. Government and the criminal justice community have advocated for electronic warrant systems (e-warrants). Peace officers know that when e-warrant systems deliver warrant information to them immediately from multiple jurisdictions, their safety is increased. However, the factors that cause these e-warrants systems to improve safety are not known. The purpose of this historical data analysis study was to determine if the use of e-warrant systems resulted in shorter clearance times than the use of legacy paper-based …
The Role And Impact Of Cyber Security Mentoring, James O. Ellithorpe
The Role And Impact Of Cyber Security Mentoring, James O. Ellithorpe
Walden Dissertations and Doctoral Studies
Business organizations are faced with an enormous challenge to improve cyber security, as breeches and lapses through firewalls are increasingly commonplace. The Chief Information Security Officer (CISO) and Information Technology (IT) staff are constantly challenged to identify and purge online and network structural weaknesses. The goal is to reduce overall business risk because unresolved risks are a constant concern to consumers who are uneasy about cyber security failures. The purpose of this general qualitative study was to examine the role and impact of Cyber Security Mentoring (CSM) from the perspectives of the workplace CISO, mentors, and protégés, who were randomly …
The Impact Of Transformational Leadership Style On The Success Of Global Virtual Teams, Shery Wojtara-Perry
The Impact Of Transformational Leadership Style On The Success Of Global Virtual Teams, Shery Wojtara-Perry
Walden Dissertations and Doctoral Studies
Organizations in the age of modern technology have a diverse workforce, who are spread around the globe, and the business leaders of the 21st century need to understand how best to manage, overcome new challenges, and know the various skills of team members to capitalize on their differences and unique skills. To allow those geographically dispersed workers to reach their full potential and facilitate team success. Global virtual teams (GVTs) operate in complex environments characterized by diverse cultural and organizational elements. The primary purpose of this correlational and nonexperimental quantitative research was to examine the impact of transformational leadership on …
Exploring Knowledge Management Models On Information Technology Projects, Alan Richard Foote
Exploring Knowledge Management Models On Information Technology Projects, Alan Richard Foote
Walden Dissertations and Doctoral Studies
One way an organization manages the knowledge of its people is in information technology (IT) projects. Organizations develop IT projects for many socially responsible reasons, including improved health care services and better community services. IT projects do not always achieve the goals of the organization when the knowledge of the stakeholders is not managed for these objectives. For this study the purpose was to address the use of knowledge management (KM) in project management (PM) to improve the success of IT projects in achieving the organizational goals. The research questions were based on KM including its tools and techniques to …
The Impact Of Transportation Infrastructure On Nigeria's Economic Developmeny, William A. Agbigbe
The Impact Of Transportation Infrastructure On Nigeria's Economic Developmeny, William A. Agbigbe
Walden Dissertations and Doctoral Studies
The United Nations Development Programme (UNDP) described Nigeria's road networks as one of the poorest and deadliest transportation infrastructural systems in the world. Data from the UNDP and the World Bank (WB) show that Nigeria has suffered transportation infrastructure deficits; these data also illustrate Nigeria as one of the lowest indices in economic development in the last decade. This qualitative case study addressed the impact of a lack of investment in transportation infrastructure in the form of road networks on Nigeria's economic development. The purpose of the study was to understand the relationship between the investment in road networks and …
Mitigation Strategies Of Technostress On Supply Chain Management, Robert Lewis Penn
Mitigation Strategies Of Technostress On Supply Chain Management, Robert Lewis Penn
Walden Dissertations and Doctoral Studies
Logistics managers work to create practices that reduce technostress, which is associated with diminished productivity in supply chain management. The purpose of this multiple case study was to explore the mitigation strategies that logistics managers at distribution centers used to reduce technostress with their employees in the Los Angeles County, California area. The conceptual framework included in this study was the sociotechnical systems theory. Semistructured interviews were conducted with 6 logistics managers from large distribution centers who implemented mitigation strategies that demonstrably reduced technostress with their employees. Public documents and physical artifacts reviewed in this study included productivity assessment tools, …
Unexpected Events In Nigerian Construction Projects: A Case Of Four Construction Companies, Gabriel Baritulem Pidomson
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 …
Meeting Meaningful-Use Requirements With Electronic Medical Records In A Community Health Clinic, Tony Andrew Richardson
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 …
Strategies For E-Commerce Platform Adoption In The Manufacturing Sector In Western India, Neeraj Parikh
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 …
Examining Data Privacy Breaches In Healthcare, Tanshanika Turner Smith
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 …
Adoption Of Information And Communication Technology In Nigerian Small- To Medium-Size Enterprises, Kessington Enaye Okundaye
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 …
Challenges And Implications Of Implementing Strategic Intelligence Systems In Mexico, Hector De Jesus Rivera Ochoa
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. …
Comparative Analysis: Successes And Failures Of St. Louis, Stephen Anane-Boakye
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 …
Innovation Difussion Of Smartphone In Nigeria, Olukunle Ariyo Iyanda
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 …
Predictive Analytics Of Organizational Decisions And The Role Of Rationality, Arash Barfar
Predictive Analytics Of Organizational Decisions And The Role Of Rationality, Arash Barfar
USF Tampa Graduate Theses and Dissertations
How can we predict key decisions made by organizations in the presence of big data and on-demand information? In this dissertation we exploit a large repository of B2B real-time transactional data with service quality indicators and present evidence that organizational decision analytics apply both rational and boundedly-rational (i.e. behavioral) economic models. The dissertation’s findings demonstrate that both utility and heuristic models, respectively, play significant roles in predicting organizational decisions on churn, a key decision in this context. In the presence of a large data set the assumed rationality of organizations appears to provide accurate predictions in uncontrolled experiences and selected …
Using Digital Genomics To Create An Intelligent Enterprise, Mario Domingo
Using Digital Genomics To Create An Intelligent Enterprise, Mario Domingo
Asian Management Insights
Every business knows that it needs to leverage customer data, but few know the potential it has to transform business processes, decisions and performance.
Intelligshop: Enabling Intelligent Shopping In Malls Through Location-Based Augmented Reality, Aditi Adhikari, Vincent W. Zheng, Hong Cao, Miao Lin, Yuan Fang, Kevin Chen-Chuan Chang
Intelligshop: Enabling Intelligent Shopping In Malls Through Location-Based Augmented Reality, Aditi Adhikari, Vincent W. Zheng, Hong Cao, Miao Lin, Yuan Fang, Kevin Chen-Chuan Chang
Research Collection School Of Computing and Information Systems
Shopping experience is important for both citizens and tourists. We present IntelligShop, a novel location-based augmented reality application that supports intelligent shopping experience in malls. As the key functionality, IntelligShop provides an augmented reality interface-people can simply use ubiquitous smartphones to face mall retailers, then IntelligShop will automatically recognize the retailers and fetch their online reviews from various sources (including blogs, forums and publicly accessible social media) to display on the phones. Technically, IntelligShop addresses two challenging data mining problems, including robust feature learning to support heterogeneous smartphones in localization and learning to query for automatically gathering the retailer content …
Information Technology & Sustainability: An Empirical Study Of The Value Of The Building Automation System, Daphne Marie Simmonds
Information Technology & Sustainability: An Empirical Study Of The Value Of The Building Automation System, Daphne Marie Simmonds
USF Tampa Graduate Theses and Dissertations
This study examines the environmental and economic effects of green information technology (IT). Green IT describes two sets of IT innovations: one set includes innovations that are implemented to reduce the environmental impact of IT services in organizations; and the other IT to reduce the environmental impact of other organizational processes. The two sets respond to the call for more environmentally friendly or “greener” organizational processes.
I developed and tested a preliminary model. The model applied the resource based view (RBV) of the firm (Wernerfelt 1984) the stakeholder theory (Freeman 1984) and included four constructs: (1) BAS implementation; environmental …
Era Of Big Data: Danger Of Descrimination, Andra Gumbus, Frances Grodzinsky
Era Of Big Data: Danger Of Descrimination, Andra Gumbus, Frances Grodzinsky
WCBT Faculty Publications
We live in a world of data collection where organizations and marketers know our income, our credit rating and history, our love life, race, ethnicity, religion, interests, travel history and plans, hobbies, health concerns, spending habits and millions of other data points about our private lives. This data, mined for our behaviors, habits, likes and dislikes, is referred to as the “creep factor” of big data [1]. It is estimated that data generated worldwide will be 1.3 zettabytes (ZB) by 2016. The rise of computational power plus cheaper and faster devices to capture, collect, store and process data, translates into …
Real-Time Targeted Influence Maximization For Online Advertisements, Yuchen Li, Dongxiang Zhang, Kian-Lee Tan
Real-Time Targeted Influence Maximization For Online Advertisements, Yuchen Li, Dongxiang Zhang, Kian-Lee Tan
Research Collection School Of Computing and Information Systems
Advertising in social network has become a multi-billion dollar industry. A main challenge is to identify key influencers who can effectively contribute to the dissemination of information. Although the influence maximization problem, which finds a seed set of k most influential users based on certain propagation models, has been well studied, it is not target-aware and cannot be directly applied to online advertising. In this paper, we propose a new problem, named Keyword-Based Targeted Influence Maximization (KB-TIM), to find a seed set that maximizes the expected influence over users who are relevant to a given advertisement. To solve the problem, …
Business Intelligence, Data And Analytics, Singapore Management University
Business Intelligence, Data And Analytics, Singapore Management University
Perspectives@SMU
Data can be used to predict outcomes but quality data is essential
An Examination Of Service Level Agreement Attributes That Influence Cloud Computing Adoption, Howard Gregory Hamilton
An Examination Of Service Level Agreement Attributes That Influence Cloud Computing Adoption, Howard Gregory Hamilton
CCAC Theses and Dissertations
Cloud computing is perceived as the technological innovation that will transform future investments in information technology. As cloud services become more ubiquitous, public and private enterprises still grapple with concerns about cloud computing. One such concern is about service level agreements (SLAs) and their appropriateness.
While the benefits of using cloud services are well defined, the debate about the challenges that may inhibit the seamless adoption of these services still continues. SLAs are seen as an instrument to help foster adoption. However, cloud computing SLAs are alleged to be ineffective, meaningless, and costly to administer. This could impact widespread acceptance …
Author Topic Model-Based Collaborative Filtering For Personalized Poi Recommendations, Shuhui Jiang, Xueming Qian, Jialie Shen, Yun Fu, Tao Mei
Author Topic Model-Based Collaborative Filtering For Personalized Poi Recommendations, Shuhui Jiang, Xueming Qian, Jialie Shen, Yun Fu, Tao Mei
Research Collection School Of Computing and Information Systems
From social media has emerged continuous needs for automatic travel recommendations. Collaborative filtering (CF) is the most well-known approach. However, existing approaches generally suffer from various weaknesses. For example, sparsity can significantly degrade the performance of traditional CF. If a user only visits very few locations, accurate similar user identification becomes very challenging due to lack of sufficient information for effective inference. Moreover, existing recommendation approaches often ignore rich user information like textual descriptions of photos which can reflect users' travel preferences. The topic model (TM) method is an effective way to solve the "sparsity problem," but is still far …
Continuous Monitoring Of Enterprise Risks: A Delphi Feasibility Study, Robert Baksa
Continuous Monitoring Of Enterprise Risks: A Delphi Feasibility Study, Robert Baksa
Dissertations
A constantly evolving regulatory environment, increasing market pressure to improve operations, and rapidly changing business conditions are creating the need for ongoing assurance that organizational risks are continually and adequately mitigated. Enterprises are perpetually exposed to fraud, poor decision making and/or other inefficiencies that can lead to significant financial loss and/or increased levels of operating risk. Increasingly, Information Systems are being harnessed to reinvent the risk management process. One promising technology is Continuous Auditing, which seeks to transform the audit process from periodic reviews of a few transactions to a continuous review of all transactions. However, the highly integrated, rapidly …
Information Filtering By Multiple Examples, Mingzhu Zhu
Information Filtering By Multiple Examples, Mingzhu Zhu
Dissertations
A key to successfully satisfy an information need lies in how users express it using keywords as queries. However, for many users, expressing their information needs using keywords is difficult, especially when the information need is complex. Search By Multiple Examples (SBME), a promising method for overcoming this problem, allows users to specify their information needs as a set of relevant documents rather than as a set of keywords.
Most of the studies on SBME adopt the Positive Unlabeled learning (PU learning) techniques by treating the user's provided examples (denoted as query examples) as positive set and the entire data …
Assessing Learning Outcomes And Social Capital Formation Resulting From The Use And Sharing Of Internet Knowledge Resources, Regina S. Collins
Assessing Learning Outcomes And Social Capital Formation Resulting From The Use And Sharing Of Internet Knowledge Resources, Regina S. Collins
Dissertations
Today’s “digital natives” use the Internet to address most, if not all, their learning-related knowledge needs. This research evaluates the outcomes of formal learning activities requiring students to use, manage, share, and consolidate Internet knowledge resources (such as websites, videos, and blogs) to achieve both individual and group learning. This research takes an integrative approach to learning, capturing learner cognitive, interpersonal, and intrapersonal characteristics as well as the impact of the digital environment by evaluating the technological affordances of two different systems supporting such learning activities. This research also examines pedagogical modifications that would best integrate course assignments utilizing Internet …
An Empirical Development Of Critical Value Factors For System Quality And Information Quality In Business Intelligence Systems Implementations, Paul Dooley
CCAC Theses and Dissertations
Business intelligence (BI) systems have been widely recognized as a leading technology for many years. However, despite the high priority and importance placed on BI, there has been a significant lack of BI system implementation (BISI) success. BI systems are not considered to be conventional information systems (IS) and often rely on the integration of a complex information infrastructure. Consequently, the degree of information quality (IQ) and system quality (SQ) have not met expectations for BISI success.
This study was designed to determine how an organization may gain benefits in the context of BISI by uncovering the antecedents and critical …
Design, Programming, And User-Experience, Kaila G. Manca
Design, Programming, And User-Experience, Kaila G. Manca
Honors Scholar Theses
This thesis is a culmination of my individualized major in Human-Computer Interaction. As such, it showcases my knowledge of design, computer engineering, user-experience research, and puts into practice my background in psychology, com- munications, and neuroscience.
I provided full-service design and development for a web application to be used by the Digital Media and Design Department and their students.This process involved several iterations of user-experience research, testing, concepting, branding and strategy, ideation, and design. It lead to two products.
The first product is full-scale development and optimization of the web appli- cation.The web application adheres to best practices. It was …
Moving Average Reversion Strategy For On-Line Portfolio Selection, Bin Li, Steven C. H. Hoi, Doyen Sahoo, Zhi-Yong Liu
Moving Average Reversion Strategy For On-Line Portfolio Selection, Bin Li, Steven C. H. Hoi, Doyen Sahoo, Zhi-Yong Liu
Research Collection School Of Computing and Information Systems
On-line portfolio selection, a fundamental problem in computational finance, has attracted increasing interest from artificial intelligence and machine learning communities in recent years. Empirical evidence shows that stock's high and low prices are temporary and stock prices are likely to follow the mean reversion phenomenon. While existing mean reversion strategies are shown to achieve good empirical performance on many real datasets, they often make the single-period mean reversion assumption, which is not always satisfied, leading to poor performance in certain real datasets. To overcome this limitation, this article proposes a multiple-period mean reversion, or so-called "Moving Average Reversion" (MAR), and …