Personal Digital Hoarding Behaviors in the Big Data Environment:A Grounded Theory Study
Hoarding behavior has a long history,such as hoarding food,hoarding books,hoarding masks,etc.,but digital hoarding(also called as data hoarding,virtual hoarding,digital hoarding,etc.)is a new phenomenon and a product of the digital age.In the digital era and big data environment,the phenomenon of individuals to hoard digital information is becoming more and more common.Personal digital hoarding behavior(PDHB)has attracted the attention of different disciplines at home and abroad,which is a new field worthy of in-depth study.This paper was guided by the principles and research process of the grounded theory,and multiple sources of research data were collected,in-depth interview text of 27 interviewees and 7 pieces of Internet data thoroughly analyzed.In accordance with the principles and requirements of Strauss & Corbin's grounded theory,51 concepts and 15 categories were extracted by open coding,and 3 main categories were generated through axis coding:the antecedents,the characteristics and the consequences of PDHB,and then a theoretical model of PDHB was initially constructed through selective coding.Finally,the theoretical model of PDHB in big data environment was further improved through continuous comparison with existing literature and theories such as cognitive behavior model of hoarding disorder and related research on digital hoarding.The results show that the basic characteristics of PDHB are excessive acquisition for digital information,difficulty in deleting digital information and clutter accumulation.Emotional attachment,practical value,perceived control and other six factors constitute the antecedents of PDHB,which together affect the emergence and development of PDHB.Personal digital hoarding behavior may lead to some consequences,mainly reflected in information security,factor productivity and mental health.The research results deepen the understanding and research of digital hoarding phenomenon from the perspective of library and information science,and have positive theoretical and practical significance for guiding individual data management activities,helping to cope with the challenge of information overload,promoting the efficiency of digital information resources and even realizing the value of data elements.2 figs.3 tabs.42 refs.
Big dataDigital hoarding behaviorData hoardingPersonal information managementInformation resources managementDigital governance
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