Management Information Systems Commons^™

The Technology, Organization, And Environment Framework For Social Media Analytics In Government: The Cases Of South Africa And Germany, Brenda M. Scholtz, Khulekani Yakobi

The African Journal of Information Systems

This paper investigates factors influencing the adoption of social media analytics (SMA) for citizen relationship management (CzRM). Three real-world cases of government departments, two in South Africa and one in Germany, were investigated, and focus group discussions were conducted. The technological, organizational, and environmental (TOE) theory and qualitative content analysis guided the data analysis. The findings revealed that in all cases, staff usually conducted a manual analysis of social media and SMA had not been implemented sufficiently to realize its full potential. Insights were obtained from TOE and factors were identified that should be considered for improving the planning of …

A Framework For Accessing Patient Big Data: Ant View Of A South African Health Facility, Sibulela Mgudlwa, Tiko Iyamu

The African Journal of Information Systems

This study was undertaken to develop a framework that can be used to guide analysis when translating and transforming big data into a more purposeful resource for healthcare service delivery in South Africa. It is intended to assist in addressing some of the challenges encountered by healthcare facilities. Qualitative data were collected, with a focus on the types of interactions that happen between actors when accessing and using patients’ big data for healthcare services. Actor-network theory (ANT) was applied as a lens in the analysis of the data, to examine the relationships between actors when accessing and using big data …

Nosql Database Technologies, Michael Madison, Mark Barnhill, Cassie Napier, Joy Godin

Joy Godin

As cloud computing continues to evolve, organizations are finding new ways to store the massive amounts of big data that are collected. Big data storage often require greater flexibility and scalability which can be provided by incorporating NoSQL technologies. NoSQL (Not Only SQL) is quickly becoming a popular approach to store large and unstructured data. This paper looks at the various classifications of NoSQL technologies as well as many of the notable characteristics of the technologies. The authors also describe some deficiencies of using NoSQL and give some explanation to why companies are adopting the technology. The paper concludes with …

The Strategic Value Of Data Resources In Emergent Industries, Stanislav Mamonov, Tamilla Mavlanova Triantoro

Department of Information Management and Business Analytics Faculty Scholarship and Creative Works

In this paper we examine the strategic role of data resources in emergent industries. We contrast the resource-based view and the relational view theories to examine how data resources can help organizations create and capture value. We compare two organizations from two different industries to understand how different types of data resources can provide a competitive advantage. We also examine the role of strategic partnerships in capturing value created through the exploitation of data resources. We conclude that while data often serve as a required resource for entry into new markets, strategic partnerships play a critical role in capturing value …

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 …

Big Data And The Perceived Expectations Gap In Digital Authentication Processes, Thomas Calderon, Colin Onita

Faculty Publications

Perceptions of the security and efficacy of technological innovations significantly affect behavioral intentions and the eventual diffusion of such innovations in organizations and the broader society. This paper uses Twitter as a data source and a big data analysis tool to investigate the public’s perceptions of current authentication methods in financial institutions. This data source has not been used previously in the literature to examine perceptions of authentication methods. We focus on the financial sector because of its high vulnerability, the extensive use of information technology in both products and value chain (i.e., its high business information intensity), and the …

Semantic Inference On Clinical Documents: Combining Machine Learning Algorithms With An Inference Engine For Effective Clinical Diagnosis And Treatment, Shuo Yang, Ran Wei, Jingzhi Guo, Lida Xu

Information Technology & Decision Sciences Faculty Publications

Clinical practice calls for reliable diagnosis and optimized treatment. However, human errors in health care remain a severe issue even in industrialized countries. The application of clinical decision support systems (CDSS) casts light on this problem. However, given the great improvement in CDSS over the past several years, challenges to their wide-scale application are still present, including: 1) decision making of CDSS is complicated by the complexity of the data regarding human physiology and pathology, which could render the whole process more time-consuming by loading big data related to patients; and 2) information incompatibility among different health information systems (HIS) …

Analytics, Innovation, And Organizational Adaptation, Gerard George, Yimin Lin

Research Collection Lee Kong Chian School Of Business

With the advent of big data, organizations are integrating powerful computing tools into their organizational processes to drive efficiencies and improve service delivery. Yet, at the heart of this conversation lies the role of analytics and big data in innovation within and across organizations. In this article, we provide a stylistic model of the role of analytics in innovation and call for further research on the underlying processes, contingencies, and outcomes.

Big Data And Organizational Impacts: A Study Of Big Data Ventures, Taha Havakhor

Graduate Theses and Dissertations

New information technology (IT) ventures are at the forefront of developing IT innovations. In spite of their importance in the advancement of IT and the unique risks of survival that distinguishes them from established firms, the organizational literature on IT has mostly overlooked new IT ventures. Specifically, Big Data industry is a context where new IT ventures actively change the landscape of IT innovations. However, less is known about the factors influencing the economic success of Big Data ventures (BDVs), as well as the established firms that invest in them. To shed light on these factors, three essays are designed …

Location Privacy In The Era Of The Internet Of Things And Big Data Analytics, Robert P. Minch

Robert P. Minch

Location information is generated in large quantities in the Internet of Things and becomes a major component of the big data phenomenon. This results in privacy issues involving sensing, identification, storage, processing, sharing, and use of this information in technical, social, and legal contexts. These issues must be addressed if the IoT is to be widely adopted and accepted. Theory will need to be developed and tested, and new research questions will need to be investigated. This exploratory research begins to identify, classify, and describe these issues and questions.

Big Data Customer Knowledge Management, Joseph O. Chan

Communications of the IIMA

Knowledge management (KM) and customer relationship management (CRM) are dominant strategies for value creation for businesses in the new economy. Customer knowledge management (CKM) results in the merging of KM and CRM, where the knowledge management process is applied to customer knowledge, and customer knowledge is applied to customer relationship management operations. With the emergence of big data as the latest phase in the evolution of technology in business, CKM strategies need to be adjusted to meet the new challenges, changing from an internal organizational focus to new external channels such as social media and machine communications. This paper explores …

Location Privacy In The Era Of The Internet Of Things And Big Data Analytics, Robert P. Minch

IT and Supply Chain Management Faculty Publications and Presentations

Location information is generated in large quantities in the Internet of Things and becomes a major component of the big data phenomenon. This results in privacy issues involving sensing, identification, storage, processing, sharing, and use of this information in technical, social, and legal contexts. These issues must be addressed if the IoT is to be widely adopted and accepted. Theory will need to be developed and tested, and new research questions will need to be investigated. This exploratory research begins to identify, classify, and describe these issues and questions.

Nosql Database Technologies, Michael Madison, Mark Barnhill, Cassie Napier, Joy Godin

Journal of International Technology and Information Management

As cloud computing continues to evolve, organizations are finding new ways to store the massive amounts of big data that are collected. Big data storage often require greater flexibility and scalability which can be provided by incorporating NoSQL technologies. NoSQL (Not Only SQL) is quickly becoming a popular approach to store large and unstructured data. This paper looks at the various classifications of NoSQL technologies as well as many of the notable characteristics of the technologies. The authors also describe some deficiencies of using NoSQL and give some explanation to why companies are adopting the technology. The paper concludes with …

Big Data, Predictive Analytics, And Data Visualization In The Construction Engineering, Joseph Shrestha

Joseph Shrestha

From Clickstreams To Searchstreams: Search Network Graph Evidence From A B2b E-Market, Mei Lin, M. F. Lin, Robert J. Kauffman

Research Collection School Of Computing and Information Systems

Consumers in e-commerce acquire information through search engines, yet to date there has been little empirical study on how users interact with the results produced by search engines. This is analogous to, but different from, the ever-expanding research on clickstreams, where users interact with static web pages. We propose a new network approach to analyzing search engine server log data. We call this searchstream data. We create graph representations based on the web pages that users traverse as they explore the search results that their use of search engines generates. We then analyze the graph-level properties of these search network …