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Full-Text Articles in Business
People Analytics And Disruptive Technologies Are Transforming Human Resources Roles, Madhu Bala Sahoo
People Analytics And Disruptive Technologies Are Transforming Human Resources Roles, Madhu Bala Sahoo
Southwestern Business Administration Journal
Human Resources Information Systems that collect, store, and analyze people data are beginning to view the role of people analytics and other related technologies favorably as they provide new, timely and objective insights which aid in bringing about a transformational change in the roles of HR. People analytics is thus an excellent platform for HR to achieve its long awaited ‘Strategic Partner’ role. Organizations of all sizes and types are adopting and adapting to people analytics. Several well-known companies have recently demonstrated the benefits of using people analytics for HR functions. However, people analytics is not without roadblocks of unethical …
Customer Knowledge Management In The Cloud Ecosytem, Joseph O. Chan
Customer Knowledge Management In The Cloud Ecosytem, Joseph O. Chan
Communications of the IIMA
The evolution of the economy has gone through the agricultural era, followed by the industrial era focusing on the production of goods and the postindustrial era accentuated by information and services. The new economy of the 21stcentury is characterized by knowledge and relationships. Galbreath (2002) described the transition to a new economic order driven by knowledge and based on the value of relationships. Customer knowledge management (CKM) synthesizes the customer knowledge and relationships assets in the extended enterprise to create advantages for companies in a very competitive market. Technologies have changed alongside the economy. Big Data and Cloud …
Mining Useful Information From Big Data Models Through Semantic-Based Process Modelling And Analysis, Kingsley Okoye
Mining Useful Information From Big Data Models Through Semantic-Based Process Modelling And Analysis, Kingsley Okoye
Communications of the IIMA
Over the past few decades, most of the existing methods for analysing large growing knowledge bases, particularly Big Data, focus on building algorithms and/or technologies to help the knowledge-bases automatically or semi-automatically extend. Indeed, a vast number of such systems that construct the said large knowledge-bases continuously grow, and most often, they do not contain all of the facts about each process instance or elements that can be found within the process base. As a consequence, the resultant process models tend to be vague or missing value datasets. In view of such challenge, the work in this paper demonstrates that …
A New Framework For Securing, Extracting And Analyzing Big Forensic Data, Hitesh Sachdev, Hayden Wimmer, Lei Chen, Carl Rebman
A New Framework For Securing, Extracting And Analyzing Big Forensic Data, Hitesh Sachdev, Hayden Wimmer, Lei Chen, Carl Rebman
Journal of Digital Forensics, Security and Law
Finding new methods to investigate criminal activities, behaviors, and responsibilities has always been a challenge for forensic research. Advances in big data, technology, and increased capabilities of smartphones has contributed to the demand for modern techniques of examination. Smartphones are ubiquitous, transformative, and have become a goldmine for forensics research. Given the right tools and research methods investigating agencies can help crack almost any illegal activity using smartphones. This paper focuses on conducting forensic analysis in exposing a terrorist or criminal network and introduces a new Big Forensic Data Framework model where different technologies of Hadoop and EnCase software are …
Conceptual Model For Successful Implementation Of Big Data In Organizations, Mohanad Halaweh, Ahmed E. Massry
Conceptual Model For Successful Implementation Of Big Data In Organizations, Mohanad Halaweh, Ahmed E. Massry
Journal of International Technology and Information Management
The term ‘big data’ has gained huge popularity in recent years among IT professionals and academicians. Big data describes the massive amount of data that can be processed and analyzed using technology to gain business values that will help organizations to achieve competitive advantages. The current paper aims to develop a holistic model that includes the factors that would affect the success or failure of the implementation of big data in organizations. Furthermore, this research examines the opportunities that organizations would attain from implementing big data, as well as the challenges that could hinder this implementation. The proposed model provides …