Environmental Sustainability 2.0: Empirical Analysis of Environmental Erp Implementation

We examined the implementation of a new and rapidly emerging class of enterprise software system for managing environmental resources such as energy and carbon emissions. Analysis of the implementation of an environmental enterprise resource planning (ERP) system at a leading global software and technology services company, SunGard Data Systems Inc., yielded three primary findings. First, we found that adoption of environmental ERP supported implementation of the corporate environmental sustainability strategy, and at the same time, may transform that very strategy. Second, we uncovered unique data sharing hurdles originating in the upstream energy information value chain. Finally, we identified the role of private equity as one important stakeholder that influences environmental ERP adoption. Overall, our analysis revealed that well-established IS phenomena have unique underlying mechanisms in the environmental sustainability context, inform understanding of cause and effect, and may ultimately enhance managerial practice and inform theoretical understanding.http://deepblue.lib.umich.edu/bitstream/2027.42/91283/1/1175_Melville.pdfhttp://deepblue.lib.umich.edu/bitstream/2027.42/91283/4/1175_Melville.pd

Enterprise Audit Modeling of Large-Scale Agencies' Energy and Carbon Dioxide Accounting

Calculating and accounting of embodied and operational energy and carbon emissions within buildings is still not standardized. No regulations exist for standard equations, databases, or best practice methods to evaluate energy and carbon. The inaccuracies and incompatibilities found among common process, hybrid databases, and evaluation methods leave wide margins for error. This thesis proposes a standardized method, a Large-Scale Agency Analysis (LSAA), to evaluate carbon and energy emissions and proposes a new dynamic modeling method for large-scale agencies. The Comprehensive Dynamic Carbon Analysis (CDCA) method utilizes computer technology to evaluate nonlinear carbon emissions systems that can be applied to both individual buildings and large-scale agencies

Show Me the Green: Three Essays on Information Systems Value and Environmental Performance in Global Organizations.

Businesses utilize information systems (IS) to increase revenues, reduce costs, and spur innovation. IS automate tasks, generate and deliver information, and can transform core value creation processes. As climate change and its associated challenges become increasingly relevant to business enterprises worldwide, IS are a key tool in enabling their response. Prior research shows that IS can either aid or inhibit organizational efforts, yet we do not fully understand their influence in this important context. This dissertation presents three essays examining how IS affects financial market value and greenhouse gas emissions performance in large businesses. The first essay (Chapter 2) introduces a method utilized in chapter 3. After finding a surprising dearth of international event studies in the IS discipline, a multiple-factor method is selected from related management literature to estimate international financial market reaction. Its performance relative to the commonly-used single-factor model is evaluated with a Monte Carlo analysis. Error correction improvement of the multiple factor model is calculated to be 44%-99% over the single-factor model for conditions observed in world markets 2000-2012. The second essay (Chapter 3) utilizes the multiple-factor model from chapter 2 to investigate international financial market reaction to Carbon Management Systems (CMS) adoption. CMS, a class of IS, enable the capture and management of carbon footprints. Three main results emerge. First, shareholders do not react positively to CMS announcements, as wealth effects are either not significant or negative, depending on the specification. Second, markets appear to penalize firms in more carbon regulated countries versus others, consistent with theory. Lastly, negative reactions to CMS appear to be dampening over time. The third essay (Chapter 4) examines the impact of IS on firm GHG emissions for large corporations with a presence in North America. This first-of-its-kind analysis finds interaction effects between GHG reduction plans and the physical deployment scope of ERP modules for Enterprise Support (e.g. HR, Finance, Accounting). Corporations with reduction plans in place and the highest 18% of ES physical scope are associated with reduced CO2 emissions. A one-standard-deviation increase in the ES physical scope deployment measure reduces GHG emissions by 46.63% for these companies.PhDBusiness AdministrationUniversity of Michigan, Horace H. Rackham School of Graduate Studieshttp://deepblue.lib.umich.edu/bitstream/2027.42/113461/1/danrush_1.pd