Research trends keep evolving along the time with certain trackable patterns. Mining academic literature and discovering the latent research trends evolution is an interesting and important problem. Few of previous studies focusing on academic topic evolution modeling have addressed the temporal...

As Web 2.0 based systems and applications get adopted by organizations, it is imperative that they bring along both benefits and challenges. As users and beneficiaries of the new means of communication, all of us need to be sensitive to the different factors that could and do affect the success...

This article describes how recent advances in computing have led to an increase in the generation of data in fields such as social media, medical, power and others. With the rapid increase in internet users, social media has given power for sentiment analysis or opinion mining. It is a highly...

Finding the costs and risks associated with highway traffic routes would allow companies and people alike to find routes that offer a comfortable amount of risk. With the amount of traffic data being collected at a more granular level the ability to find costs and risks associated with traffic...

Contemporary societies face complex problems that challenge the sustainability of their social and economic systems. Such problems may require joint efforts from the public and private sectors as well as from the society at large in order to find innovative solutions. In addition, the open...

In the process of public policymaking, it is recommended to use system dynamics (SD) and Big Data in e-government. SD could assist in viewing problems in complex system holistically, while Big Data in e-government is for collecting data and information which are used for developing model of...

The Big Data and Data Analytics is a brand new paradigm, for the integration of Internet Technology in the human and machine context. For the first time in the history of the human mankind we are able to transforming raw data that are massively produced by humans and machines in to knowledge and...

Purpose – The article discusses the ramifications for corporate reputation of the current concerns about consumer data privacy in order to identify potential risks and benefits for corporations in their relations with consumers and other stakeholders. Design/methodology/approach – The...

This paper analyses the use of big data techniques in auditing, and finds that the practice is not as widespread as it is in other related fields. We first introduce contemporary big data techniques to promote understanding of their potential application. Next, we review existing research on big...

Purpose The global pandemic COVID-19 unveils transforming the supply chain (SC) to be more resilient against unprecedented events. Identifying and assessing these risk factors is the most significant phase in supply chain risk management (SCRM). The earlier risk quantification methods make...