期刊名称：Pacific Asia Journal of the Association for Information Systems
印刷版ISSN：1943-7544
出版年度：2020
卷号：12
期号：4
页码：27-63
DOI：10.17705/1pais.12210
语种：English
出版社：Association for Information Systems
摘要：Background: In recent years, demand response (DR) has gained increasedattention from utilities, regulators, and market aggregators to meet the growingdemands of electricity. The key aspect of a successful DR program is the effectiveprocessing of data and information to gain critical insights. This study aims toidentify information processing needs and capacity that interact to improve energyDR effectiveness. To this end, organizational information processing theory (OIPT)is employed to understand the role of Information Systems (IS) resources inachieving desired DR program performance. This study also investigates howinformation processing for DR systems differ between developing (India) anddeveloped (Australia) countries.Method: This work adopts a case study methodology to propose a theoreticalframework using OIPT for information processing in DR systems. The study furtheremploys a comparative case data analyses between Australian and Indian DRinitiatives.Results: Our cross case analysis identifies variables of value creation in designingDR programs - pricing structure for demand side participation, renewableintegration at supply side, reforms in the regulatory instruments, and emergenttechnology. This research posits that the degree of information processingcapacity mediates the influence of information processing needs on energy DReffectiveness. Further, we develop five propositions on the interaction betweentask based information processing needs and capacity, and their influence on DReffectiveness.Conclusions: The study generates insights on the role of IS resources that canhelp stakeholders in the electricity value chain to take informed and intelligentdecisions for improved performance of DR programs.
关键词：Demand Response;Automatic Metering Infrastructure;OrganizationalInformation Processing Theory;Information Processing Needs and Capacity
