دانلود رایگان مقاله انگلیسی نشانی دهی کلان داده ها در شهر های هوشمند - امرالد 2016

Abstract

Purpose – Big data has become crucial for fulfilling the vision of smart cities, however, there are several challenges associated with its use. This study aims to provide a holistic view of challenges of using big data in smart cities and the solutions to deal with them by systematically selecting, reviewing, and synthesizing the literature in this area. Design/methodology/approach – A systematic literature review was conducted by following a rigorous search protocol that identified a total of 310 peer-reviewed academic research papers. These papers were subsequently filtered and finally 38 relevant papers were selected. Findings – A number of major challenges (Human Dynamics, Privacy, Security, Volume, Velocity, Variety, Veracity, and Value) associated with big data in smart city and the respective solutions to address them were identified. This study primarily contributes in providing the process of effectively managing big data in smart cities. Practical implications – The study provides valuable information to the big data practitioners by illustrating the process of effective management of big data in smart cities. This study further provides the directions to the future researchers. Originality/value – The study is original and is based on the existing literature and its interpretation.

6. Conclusion and Future Research

The key objective of this research was to discover the approaches to deal with challenges associated with big data in smart cities. In order to accomplish this objective, a systematic literature review was conducted to identify such challenges and solutions to deal with them as proposed by various researchers. This research papers follows a rigorous methodology for selecting papers for systematic literature review. The selected papers were reviewed, analyzed, and interpreted to identify the potential strategies to deal with big data challenges. The results of this paper contribute valuable information to the big data practitioners by illustrating the process of effective management of big data in smart cities. The process of managing big data in smart cities can facilitate in utilizing the benefits that can be drawn by analyzing the big data in real time.

This review clearly found that a majority of research papers in this area are conceptual in nature lacking empirical methodology. Therefore, empirical research aligned with big data findings may provide interesting and novel insights for academicians as well as practitioners. Secondly, existing research papers advocated the use of context aware platforms for fast data retrieval, processing, and decision making, however these platforms do not provide any solution for managing the large volume of data. Thus, data governance and policy research in the area of management of the information assets would be highly insightful. Thirdly, as more and more cities move towards urbanization, a huge volume of generated data can provide inputs for policy formation and process improvement. Thus, a lot of potential work is possible in these directions which may greatly augment the literature on smart cities. Fourthly, as discussed by various researchers, role of human beings is critically important in big data analytics. Future researchers need to identify the exact areas in which human cognitive system has strong connection with the various characteristics of smart cities. Lastly, many research papers focused on using big data in political, ecological, and economic contexts in smart cities, however, the areas such as social subsystems also needs attention.