A Multi-Entity Input Output (MEIO) Approach to Sustainability - Water-Energy-GHG (WEG) Footprint Statements in Use Cases from Auto and Telco Industries

A new Input-Output model, called the Multi-Entity Input-Output (MEIO) model, is introduced to estimate the responsibility of entities of an ecosystem on the footprint of each other. It assumed that the ecosystem is comprised of end users, service providers, and utilities. The proposed MEIO modeling approach can be seen as a realization of the Everybody-in-the-Loop (EitL) framework, which promotes a sustainable future using behaviors and actions that are aware of their ubiquitous eco-socio-environment impacts. In this vision, the behavioral changes could be initiated by providing all actors with their footprint statement, which would be estimated using the MEIO models. First, a naive MEIO model is proposed in the form of a graph of actions and responsibility by considering interactions and goods transfers among the entities and actors along four channels. Then, the unnormalized responsibility and also the final responsibility among the actors are introduced, and then are used to re-allocate immediate footprint of actors among themselves. The footprint in the current model is limited to three major impacts: Water, Energy, and GHG emissions. The naive model is then generalized to Provider-perspective (P-perspective) and End User-perspective (E-perspective) MEIO models in order to make it more suitable to cases where a large number of end users are served by a provider. The E-perspective modeling approach particularly allows estimating the footprint associated to a specific end user. In two use cases from the auto and Telco industries, it has been observed that the proposed MEIO models are practical and dependable in allocating footprint to the provider and also to the end user, while i) avoiding footprint leakage to the end users and ii) handling the large numbers end users. In addition, it will be shown that the MEIO models could be sued to integrate Scope-3 and LCA approaches.

[1]  W. Stubbs,et al.  Corporate Carbon Strategies and Greenhouse Gas Emission Assessments: The Implications of Scope 3 Emission Factor Selection , 2012 .

[2]  V. Dakos,et al.  Toward Principles for Enhancing the Resilience of Ecosystem Services , 2012 .

[3]  Rastislav Šrámek.  Uncertain optimization using approximation sets , 2013 .

[4]  Mohamed Cheriet,et al.  Carbon Metering and Effective Tax Cost Modeling for Virtual Machines , 2012, 2012 IEEE Fifth International Conference on Cloud Computing.

[5]  H. Lewis.  A New Look at Actor‐Oriented Theory , 1993 .

[6]  Wendy Stubbs,et al.  Evaluation of Australian companies’ scope 3 greenhouse gas emissions assessments ☆ , 2013 .

[7]  B. Truffer,et al.  Sustainability transitions: An emerging field of research and its prospects , 2012 .

[8]  J. Krüger,et al.  Long-Run Sectoral Development - Time Series Evidence for the German Economy , 2010 .

[9]  Todd R. Zenger,et al.  Capabilities, Transaction Costs, and Firm Boundaries , 2012, Organ. Sci..

[10]  Antonio Núñez,et al.  The More the Merrier? Number of Bidders, Information Dispersion, Renegotiation and Winner's Curse in Toll Road Concessions , 2009 .

[11]  M. Cheriet,et al.  Cognitive behavior analysis framework for fault prediction in cloud computing , 2012, 2012 Third International Conference on The Network of the Future (NOF).

[12]  An orientation for a green economics , 2007 .

[13]  P. Sharp,et al.  An Economic History of Europe: Knowledge, Institutions and Growth, 600 to the Present , 2003 .

[14]  Antonio Núñez,et al.  Number of Bidders and the Winner's Curse in Toll Road Concessions: An Empirical Analysis , 2006 .

[15]  Guido Proietti,et al.  Stability of Networks in Stretchable Graphs , 2009, SIROCCO.

[16]  Antonio Núñez.  Sources of Errors and Biases in Traffic Forecasts for Toll Road Concessions , 2007 .

[17]  Thomas D. Waite,et al.  Life Cycle Assessment of Water Recycling Technology , 2005 .

[18]  Richard Heeks,et al.  ICT4D 2.0: The Next Phase of Applying ICT for International Development , 2008, Computer.

[19]  H Scott Matthews,et al.  Categorization of Scope 3 emissions for streamlined enterprise carbon footprinting. , 2009, Environmental science & technology.

[20]  Antonio Núñez,et al.  Winner's curse in toll road concessions , 2008 .

[21]  Adrien Nguyen Huu,et al.  Orbits in a stochastic Goodwin–Lotka–Volterra model , 2013, 1308.3317.

[22]  Allan G. B. Fisher,et al.  PRODUCTION, PRIMARY, SECONDARY AND TERTIARY , 1939 .

[23]  Amogh Dhamdhere,et al.  Twelve Years in the Evolution of the Internet Ecosystem , 2011, IEEE/ACM Transactions on Networking.

[24]  Halim Yanikomeroglu,et al.  Green communications by demand shaping and user-in-the-loop tariff-based control , 2011, 2011 IEEE Online Conference on Green Communications.

[25]  Halim Yanikomeroglu,et al.  Quantified User Behavior in User-in-the-Loop Spatially and Demand Controlled Cellular Systems , 2012, EW.

[26]  Z. Kenessey.  THE PRIMARY, SECONDARY, TERTIARY AND QUATERNARY SECTORS OF THE ECONOMY , 1987 .

[27]  Christoph J. Meinrenken,et al.  Fast Carbon Footprinting for Large Product Portfolios , 2012 .

[28]  William E. Rees,et al.  Accounting for the Ecological Footprint of Materials in Consumer Goods at the Urban Scale , 2013 .

[29]  Göran Finnveden,et al.  Lessons learned - Review of LCAs for ICT products and services , 2014, Comput. Ind..

[30]  A. Petrov,et al.  Talent in the Cold? Creative Capital and the Economic Future of the Canadian North , 2009 .

[31]  Joachim M. Buhmann,et al.  Robust optimization in the presence of uncertainty , 2013, ITCS '13.

[32]  Mohamed Cheriet,et al.  A modified GHG intensity indicator: Toward a sustainable global economy based on a carbon border tax and emissions trading , 2011, 1110.1567.

[33]  Mark Abkowitz,et al.  Insights on the Use of Hybrid Life Cycle Assessment for Environmental Footprinting , 2011 .

[34]  S. Evans,et al.  A literature and practice review to develop sustainable business model archetypes , 2014 .

[35]  Melissa M. Bilec,et al.  Greening the service industries: A case study of a United States engineering consulting firm , 2011, Proceedings of the 2011 IEEE International Symposium on Sustainable Systems and Technology.

[36]  Abbas Strommen-Bakhtiar,et al.  Should the "CLOUD" Be Regulated? an Assessment , 2011 .

[37]  Denis Stijepic,et al.  Structural Change and Economic Growth: Analysis within the Partially Balanced Growth-Framework , 2011 .

[38]  Celia T. Romm,et al.  Thinking Strategically About Community Informatics: The Action, Reaction, Integration (ARI) Model , 2000, PACIS.

[39]  Paul Langacker,et al.  The physics of heavy Z' gauge bosons , 2008, 0801.1345.

[40]  Nick Bassiliades,et al.  Using RuleML for Representing and Prolog for Simulating Fuzzy Cognitive Maps , 2014, Fuzzy Cognitive Maps for Applied Sciences and Engineering.

[41]  Rebeka Lukman,et al.  Review of sustainability terms and their definitions , 2007 .

[42]  Eric Gedajlovic,et al.  Markets, Hierarchies, and Families: Toward a Transaction Cost Theory of the Family Firm , 2010 .

[43]  Peter B. Borwein,et al.  uzzy cognitive maps and cellular automata : An evolutionary approach or social systems modelling , 2012 .

[44]  Stefan Seuring,et al.  From a literature review to a conceptual framework for sustainable supply chain management , 2008 .

[45]  Jinhui Yao,et al.  A Financial Compensation Based Transaction Management Model for Service-Oriented Business Collaborations , 2012, 2012 IEEE 19th International Conference on Web Services.

[46]  D. Lambert,et al.  SUPPLY CHAIN MANAGEMENT , 2003 .

[47]  F. Boons,et al.  Business Models for Sustainable Innovation: State of the Art and Steps Towards a Research Agenda , 2013 .

[48]  D. Kiesler,et al.  Assessing the interpersonal transaction cycle: convergence of action and reaction interpersonal circumplex measures. , 1995, Journal of personality and social psychology.

[49]  T. Wiedmann,et al.  Comment on “Corporate Carbon Performance Indicators Revisited” , 2011 .

[50]  Philippe J. Giabbanelli,et al.  Modelling the Joint Effect of Social Determinants and Peers on Obesity Among Canadian Adults , 2014, Theories and Simulations of Complex Social Systems.

[51]  Réjean Samson,et al.  Challenges and complexities in application of LCA approaches in the case of ICT for a sustainable future , 2014, ICT4S.

[52]  Timo Busch,et al.  Which Emissions Do We Need to Account for in Corporate Carbon Performance? Response to Murray and Colleagues , 2011 .

[53]  Susan Shepherd Ferebee,et al.  Successful Persuasive Technology for Behavior Reduction: Mapping to Fogg's Gray Behavior Grid , 2010, PERSUASIVE.

[54]  Marjan W. Hofkes,et al.  Border adjustment for European emissions trading: Competitiveness and carbon leakage , 2010 .

[55]  Bill Tomlinson,et al.  Negabehaviors and Environmental Sustainability , 2011 .

[56]  Phoebe Sengers,et al.  Sustainably unpersuaded: how persuasion narrows our vision of sustainability , 2012, CHI.