Designing Complex Organizations
Designing Complex Organizations
Decentralized Mechanism Design for Supply Chain Organizations Using an Auction Market
Information Systems Research
A Postponement Model for Demand Management
Management Science
Journal of Management Information Systems - Special section: Exploring the outlands of the MIS discipline
Using Multivariate Statistics (5th Edition)
Using Multivariate Statistics (5th Edition)
Journal of Management Information Systems
Information Processing Design Choices, Strategy, and Risk Management Performance
Journal of Management Information Systems
Information Systems Research
From Association to Causation via a Potential Outcomes Approach
Information Systems Research
The impact of business analytics on supply chain performance
Decision Support Systems
An agenda for 'Green' information technology and systems research
Information and Organization
Putting the 'smarts' into the smart grid: a grand challenge for artificial intelligence
Communications of the ACM
An information strategy for environmental sustainability
Communications of the ACM
Lean information management: Understanding and eliminating waste
International Journal of Information Management: The Journal for Information Professionals
The problem of information overload in business organisations: a review of the literature
International Journal of Information Management: The Journal for Information Professionals
Information Systems Frontiers
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The large-scale generation of electricity is a major contributor to increasing levels of greenhouse gas emissions, putting pressure on the industry to reduce its environmental impacts. Electricity utility companies are looking to two strategies to help make this happen: the smart grid and demand-side management. Viewing the challenge from an IS perspective, this study attempts to answer the question: do smart grid information systems and technologies make a difference in utilities' efforts to promote energy efficiency? Drawing on organizational information processing theory and extending it by integrating the concept of information waste, two competing hypotheses are developed and tested using hierarchical regression and data from 543 U.S. electricity utilities. The model, incorporating four levels of metering devices, is found to explain a high portion of the variance in energy efficiency effects of demand-side management programs. This suggests that there are IS-enabled information processing capacities within smart meters that have a significant influence on utilities' EDM effectiveness. However, the results also point to the potential for both positive and negative effects. Implications of these findings for practice and future research directions are discussed.