Internet of Things (IoT) has provided a promising opportunity to build powerful industrial systems and applications by leveraging the growing ubiquity of radio-frequency identification (RFID), and wireless, mobile, and sensor devices. A wide range of industrial IoT applications have been developed and deployed in recent years. In an effort to understand the development of IoT in industries, this paper reviews the current research of IoT, key enabling technologies, major IoT applications in industries, and identifies research trends and challenges. A main contribution of this review paper is that it summarizes the current state-of-the-art IoT in industries systematically.

Internet of Things in Industries: A Survey

The Internet of Things is a paradigm where everyday objects can be equipped with identifying, sensing, networking and processing capabilities that will allow them to communicate with one another and with other devices and services over the Internet to accomplish some objective. Ultimately, IoT devices will be ubiquitous, context-aware and will enable ambient intelligence. This article reports on the current state of research on the Internet of Things by examining the literature, identifying current trends, describing challenges that threaten IoT diffusion, presenting open research questions and future directions and compiling a comprehensive reference list to assist researchers.

The Internet of Things--A survey of topics and trends

Big data has the potential to revolutionize the art of management. Despite the high operational and strategic impacts, there is a paucity of empirical research to assess the business value of big data. Drawing on a systematic review and case study findings, this paper presents an interpretive framework that analyzes the definitional perspectives and the applications of big data. The paper also provides a general taxonomy that helps broaden the understanding of big data and its role in capturing business value. The synthesis of the diverse concepts within the literature on big data provides deeper insights into achieving value through big data strategy and implementation.

How ‘Big Data’ Can Make Big Impact: Findings from a Systematic Review and a Longitudinal Case Study

How 'big data' can make big impact: findings from a systematic review and a longitudinal case study

Big data analytics in logistics and supply chain management: Certain investigations for research and applications

RFID research: An academic literature review (1995–2005) and future research directions

Purpose – The objective of this paper is to illustrate and examine the different flexibility strategies adopted by supply chain participants as a result of different environmental uncertainties.Design/methodology/approach – An exploratory multi‐case study, involving five Chinese companies in the textile and apparel industry, was conducted.Findings – The analysis, based on the supply chain literature, reveals that the unpredictable dynamics of the supply chain can arise from a variety of internal and external sources, including suppliers, operating systems, customers, and competitors. In response to the various environmental uncertainties and risks in the supply chain, four types of flexibility strategy are identified in our case analysis: laggard, conservative, agile, and aggressive. The results also suggest that the adoption of flexibility strategies should match a firm's business environment and that better supply chain responsiveness can be achieved in two ways: by reducing uncertainties and by improvi...

Candace Y. Yi

Papers

RFID research: An academic literature review (1995–2005) and future research directions

Supply chain flexibility in an uncertain environment: exploratory findings from five case studies