Design for Clean Technology Adoption: Integration of Usage Context, User Behavior, and Technology Performance in Design

[1]  Nathan G. Johnson,et al.  Factors affecting fuelwood consumption in household cookstoves in an isolated rural West African village , 2012 .

[2]  L. Gideon Handbook of Survey Methodology for the Social Sciences , 2012 .

[3]  Christian A. Klöckner The Psychology of Pro-Environmental Communication , 2015 .

[4]  L. Thurstone A law of comparative judgment. , 1994 .

[5]  Daniel A. McAdams,et al.  Uncertain Technology Evolution and Decision Making in Design , 2012 .

[6]  Icek Ajzen,et al.  The theory of planned behaviour is alive and well, and not ready to retire: a commentary on Sniehotta, Presseau, and Araújo-Soares , 2015, Health psychology review.

[7]  Kirk R. Smith,et al.  Pollutant emissions and energy efficiency under controlled conditions for household biomass cookstoves and implications for metrics useful in setting international test standards. , 2012, Environmental science & technology.

[8]  Timothy W. Simpson,et al.  A market-driven approach to product family design , 2009 .

[9]  Carl F. Mela,et al.  Choice Models and Customer Relationship Management , 2005 .

[10]  Bernard Yannou,et al.  A usage coverage based approach for assessing product family design Une méthode d'évaluation de la conception d'une famille de produits basée sur le modèle de couverture d'usages , 2012 .

[11]  Daniel Jensen,et al.  Frontier Design: A Product Usage Context Method , 2006 .

[12]  Nordica MacCarty,et al.  Fuel use and emissions performance of fifty cooking stoves in the laboratory and related benchmarks of performance , 2010 .

[13]  Frank S. Koppelman,et al.  Integrated Bayesian Hierarchical Choice Modeling to Capture Heterogeneous Consumer Preferences in Engineering Design , 2010 .

[14]  Cassandra Telenko,et al.  Scoping Usage Contexts and Scenarios in Eco-Design , 2014 .

[15]  Subhrendu K. Pattanayak,et al.  Who Adopts Improved Fuels and Cookstoves? A Systematic Review , 2012, Environmental health perspectives.

[16]  R. Belk Situational Variables and Consumer Behavior , 1975 .

[17]  Jaekwan Shin,et al.  Product Line Design Search Considering Reliability and Robustness Under Uncertainty in Discrete Choice Methods , 2016, DAC 2016.

[18]  Robert R. Parker,et al.  Technology Characterization Models and Their Use in Systems Design , 2014 .

[19]  R. Yadav,et al.  Determinants of Consumers' Green Purchase Behavior in a Developing Nation: Applying and Extending the Theory of Planned Behavior , 2017 .

[20]  Nordica MacCarty,et al.  A Practical Evaluation for Cookstove Usability , 2018, DAC 2018.

[21]  Sylvain Arlot,et al.  A survey of cross-validation procedures for model selection , 2009, 0907.4728.

[22]  J. Brooks,et al.  Relationships between self-determination theory and theory of planned behavior applied to physical activity and exercise behavior in chronic pain , 2017, Psychology, health & medicine.

[23]  Emanuela Colombo,et al.  Laboratory protocols for testing of Improved Cooking Stoves (ICSs): A review of state-of-the-art and further developments , 2017 .

[24]  Eduardo Canuz,et al.  Temperature dataloggers as stove use monitors (SUMs): Field methods and signal analysis. , 2012, Biomass & bioenergy.

[25]  Ken R. Smith,et al.  Monitoring and evaluation of improved biomass cookstove programs for indoor air quality and stove performance: conclusions from the Household Energy and Health Project , 2007 .

[26]  Yi Ren,et al.  Improving Design Preference Prediction Accuracy Using Feature Learning , 2016 .

[27]  Michael Greenstone,et al.  Up in Smoke: The Influence of Household Behavior on the Long-Run Impact of Improved Cooking Stoves , 2012 .

[28]  I. Ajzen The theory of planned behavior , 1991 .

[29]  Bernard Yannou,et al.  Set-based design by simulation of usage scenario coverage , 2013 .

[30]  Andrea Ceschi,et al.  Predicting organic food consumption: A meta-analytic structural equation model based on the theory of planned behavior , 2017, Appetite.

[31]  Wei Chen,et al.  Decision-Based Design: Integrating Consumer Preferences into Engineering Design , 2012 .

[32]  A. Robinson,et al.  Field measurements of solid-fuel cookstove emissions from uncontrolled cooking in China, Honduras, Uganda, and India , 2018, Atmospheric Environment.

[33]  Nordica MacCarty,et al.  Evaluating User Intention for Uptake of Clean Technologies Using the Theory of Planned Behavior , 2018, DAC 2018.

[34]  Julie S. Linsey,et al.  Effects of Product Usage Context on Consumer Product Preferences , 2005 .

[35]  F. Sniehotta,et al.  Time to retire the theory of planned behaviour , 2014, Health psychology review.

[36]  Wei Chen,et al.  Incorporating Social Impact on New Product Adoption in Choice Modeling: A Case Study in Green Vehicles , 2012, DAC 2012.

[37]  Improved stove programs need robust methods to estimate carbon offsets , 2010 .

[38]  Moshe Ben-Akiva,et al.  Discrete Choice Analysis: Theory and Application to Travel Demand , 1985 .

[39]  Z. Mahmood,et al.  Adoption of improved cookstoves in Pakistan: A logit analysis , 2017 .

[40]  Erin F. MacDonald,et al.  Market-System Design Optimization With Consider-Then-Choose Models , 2014 .

[41]  Jordan J. Louviere,et al.  Behavioral frontiers in choice modeling , 2008 .

[42]  Bernard Yannou,et al.  Choice Modeling for Usage Context-Based Design , 2012 .

[43]  Icek Ajzen,et al.  From Intentions to Actions: A Theory of Planned Behavior , 1985 .

[44]  B. DeAngelo,et al.  Bounding the role of black carbon in the climate system: A scientific assessment , 2013 .

[45]  Rob Horne,et al.  Statistical guidelines for studies of the theory of reasoned action and the theory of planned behaviour , 2000 .

[46]  John W. Payne,et al.  The adaptive decision maker: Name index , 1993 .

[47]  Eric J. Johnson,et al.  The adaptive decision maker , 1993 .

[48]  Dean Still,et al.  Results of Laboratory Testing of 15 Cookstove Designs in Accordance with the ISO/IWA Tiers of Performance , 2015, EcoHealth.

[49]  Nordica MacCarty,et al.  Laboratory study of the effects of moisture content on heat transfer and combustion efficiency of three biomass cook stoves , 2008 .

[50]  Wei Chen,et al.  Decision Making in Engineering Design , 2006 .

[51]  S. Jagtap Design and poverty: a review of contexts, roles of poor people, and methods , 2018, Research in Engineering Design.

[52]  Susie R. Wu,et al.  Green buildings need green occupants: a research framework through the lens of the Theory of Planned Behaviour , 2017 .

[53]  David Gill,et al.  Predicting health behavior , 1997 .

[54]  Mamunur Rashid,et al.  Small-scale households renewable energy usage intention: Theoretical development and empirical settings , 2014 .

[55]  J. S. Long,et al.  Regression models for categorical dependent variables using Stata, 2nd Edition , 2005 .

[56]  David P French,et al.  The expectancy-value muddle in the theory of planned behaviour - and some proposed solutions. , 2003, British journal of health psychology.

[57]  Kristin L. Wood,et al.  PRODUCT USAGE CONTEXT: IMPROVING CUSTOMER NEEDS GATHERING AND DESIGN TARGET SETTING , 2004 .

[58]  Alan D. Lopez,et al.  A comparative risk assessment of burden of disease and injury attributable to 67 risk factors and risk factor clusters in 21 regions, 1990–2010: a systematic analysis for the Global Burden of Disease Study 2010 , 2012, The Lancet.

[59]  G. T. Gardner,et al.  Household actions can provide a behavioral wedge to rapidly reduce US carbon emissions , 2009, Proceedings of the National Academy of Sciences.

[60]  Jeremy J. Michalek,et al.  Robust Design for Profit Maximization With Aversion to Downside Risk From Parametric Uncertainty in Consumer Choice Models , 2012 .