Principles, Approaches and Challenges of Applying Big Data in Safety Psychology Research

Abstract

Big data is now widely used in many fields and is also widely applied to the integration of disciplines. Traditional methods of safety psychology are not well suited for analyzing psychological states, especially in the management of human factors in industrial production. Also, big data now becomes a new way to excavate related insight by analyzing a large amount of psychological data. So, this paper is to propose the concept of big data of safety psychology (BDSP) and to illustrate the challenges of applying big data in safety psychology. First, this paper puts forward the concept of BDSP and analyzes the difference between BDSP and traditional sample data. Subsequently, this paper summarizes the classification standard and basic characteristic of BDSP, explores the framework of BDSP and then constructs a three-dimensional structure of BDSP. Lastly, this paper discusses the challenges of using BDSP. This study is of great help to safety practitioners to solve psychological issues in the safety domain, and points out one of the research trends of human factor in industrial safety.

Evaluating the Impact of Information System Quality on Continuance Intention Toward Cloud Financial Information System

“…In addition, in this study, it was found that information quality has a significantly higher impact on trust than satisfaction. It is also found from previous studies that data security is a well-known and challenging issue (Dawson and Thomson, 2018;Kang et al, 2019). Therefore, the risk arising from information quality is a key factor in choosing a cloud financial and accounting system (Demirkan et al, 2020).…”

An Application of Data Mining Algorithms for Analyzing Psychological Researches

“…Kang et al [8]. proposed the concept of massive information on security psychology (BDSP) and aimed at demonstrating the challenges of applying big data in security brain research.…”

Commentary: Principles, Approaches and Challenges of Applying Big Data in Safety Psychology Research

“…Among these, Kang et al (2019) introduced the BDSP concept to hold how big data adoption and utilization may positively affect workplace health and safety. They define BDSP as "structured, semi-structured, and unstructured datasets formed by psychological index parameters and behavior, which provide potential and valuable psychological knowledge and rules to solve the psychological issues related to safety with the help of big data technology" (p. 3).…”

“…This commentary builds upon the recent theoretical paper by Kang et al (2019) to advance the debate currently going on about psychology and big data. The aim is to discuss the feasibility of extending the conceptualization proposed by the authors-i.e., Big Data of Safety Psychology (BDSP)-to other branches of psychology going beyond the only safety domain, ultimately pointing out a big data of whatever psychology scenario.…”