N. Observations, Levels of significance: *p<0.10, **p<0.05, and ***, 1001.

N. Observations, Levels of significance: *p<0.10, **p<0.05, and ***p<0, p.1, 1001.

A. Acquisti, Privacy in electronic commerce and the economics of immediate gratification, Proceedings of the 5th ACM Conference on Electronic Commerce. EC ??04, pp.21-29, 2004.

A. Acquisti and R. Gross, Imagined communities: Awareness, information sharing, and privacy on the facebook, International Workshop on Privacy Enhancing Technologies, pp.36-58, 2006.

M. Humna-ahsan and . Haque, Threshold effects of human capital: Schooling and economic growth, Economics Letters, vol.156, pp.165-1765, 2017.

M. Aitken, The socio-economic transition towards a hydrogen economyfindings from European research, Energy Policy, vol.38, pp.6066-6075, 2010.

V. Albino, U. Berardi, and R. M. Dangelico, Smart cities: Definitions, dimensions, performance, and initiatives, Journal of Urban Technology, vol.22, pp.3-21, 2015.

Z. Babutsidze and R. Cowan, Showing or telling? Local interaction and organization of behavior, Journal of Economic Interaction and Coordination, vol.9, pp.151-181, 2014.
URL : https://hal.archives-ouvertes.fr/halshs-01927049

N. Balta-ozkan, R. Davidson, M. Bicket, and L. Whitmarsh, Social barriers to the adoption of smart homes, Energy Policy, vol.63, pp.363-374, 2013.

N. Balta-ozkan, R. Davidson, M. Bicket, and L. Whitmarsh, The development of smart homes market in the UK, In: Energy, vol.60, pp.360-5442, 2013.

P. Baudier, C. Ammi, and M. Deboeuf-rouchon, Smart home: Highlyeducated students' acceptance, Technological Forecasting and Social Change, 2018.
URL : https://hal.archives-ouvertes.fr/hal-02292941

C. M. Baum and C. Gross, Sustainability policy as if people mattered: Developing a framework for environmentally significant behavioral change, Journal of Bioeconomics, vol.19, pp.53-95, 2017.

A. Bhati, M. Hansen, and C. M. Chan, Energy conservation through smart homes in a smart city: A lesson for Singapore households, Energy Policy, vol.104, pp.230-239, 2017.

J. Stanley, P. C. Black, J. T. Stern, and . Elworth, Personal and contextual influences on househould energy adaptations, Journal of Applied Psychology, vol.70, pp.3-21, 1985.

S. Brown, P. Ghosh, L. Su, and K. Taylor, Modelling household finances: A Bayesian approach to a multivariate two-part model, Journal of Empirical Finance, vol.33, pp.927-5398, 2015.

F. Christian, A. Calvillo, J. Sanchez-miralles, and . Villar, Energy management and planning in smart cities, Renewable and Sustainable Energy Reviews, vol.55, pp.1364-0321, 2016.

H. Cao and M. Lin, Mining smartphone data for app usage prediction and recommendations: A survey, Pervasive and Mobile Computing, vol.37, pp.1574-1192, 2017.

A. Caragliu, C. D. Bo, and P. Nijkamp, Smart cities in europe, Journal of Urban Technology, vol.18, pp.65-82, 2011.

C. Catalini and C. Tucker, When early adopters don't adopt, Science, vol.357, pp.36-8075, 2017.

G. Cecere, F. L. Guel, and N. Soulie, Perceived Internet privacy concerns on social networks in Europe, Technological Forecasting and Social Change, vol.96, pp.277-287, 2015.
URL : https://hal.archives-ouvertes.fr/hal-02386849

K. Ramnath, R. G. Chellappa, and . Sin, Personalization versus privacy: An empirical examination of the online consumer??s dilemma, Information Technology and Management, vol.6, pp.181-202, 2005.

L. Desilva, C. Morikawa, and I. M. Petra, Advanced issues in Artificial Intelligence and Pattern Recognition for Intelligent Surveillance System in Smart Home Environment, Engineering Applications of Artificial Intelligence, vol.25, issue.7, pp.952-1976, 2012.

M. Franke and C. Nadler, Energy efficiency in the German residential housing market: Its influence on tenants and owners, In: Energy Policy, vol.128, pp.301-4215, 2019.

T. Gerald, P. C. Gardner, and . Stern, Environmental problems and human behavior, 2002.

D. Geelen, R. Mugge, S. Silvester, and A. Bulters, The use of apps to promote energy saving: A study of smart meter-related feedback in the Netherlands, In: Energy Efficiency, vol.12, pp.1635-1660, 2019.

J. Torsten, M. Gerpott, and . Paukert, Determinants of willingness to pay for smart meters: An empirical analysis of household customers in Germany, In: Energy Policy, vol.61, pp.483-495, 2013.

H. Haarstad, Where are urban energy transitions governed? Conceptualizing the complex governance arrangements for low-carbon mobility in Europe, Cities, vol.54, 2016.

, Energy and Climate Change Mitigation, Cities, pp.264-2751

H. Haarstad and M. W. Wathne, Are smart city projects catalyzing urban energy sustainability?, In: Energy Policy, vol.129, pp.918-925, 2019.

P. Hall, Creative cities and economic development, Urban Studies, vol.37, pp.633-649, 2000.

T. Hargreaves, M. Nye, and J. Burgess, Keeping energy visible? Exploring how householders interact with feedback from smart energy monitors in the longer term, Energy Policy, vol.52, pp.301-4215, 2013.

N. Mark, X. Harris, and . Zhao, A zero-inflated ordered probit model, with an application to modelling tobacco consumption, Journal of Econometrics, vol.141, pp.304-4076, 2007.

M. Mei-chen-hu, E. V. Pavlicova, and . Nunes, Zero-inflated and hurdle models of count data with extra zeros: examples from an HIV-risk reduction intervention trial, The American Journal of Drug and Alcohol Abuse, vol.37, pp.367-375, 2011.

, Planning of Nice integration and demonstration activities, 2018.

, Report on baseline, ambition & barriers for Nice lighthouse interventions, 2018.

C. Jensen, C. Potts, and C. Jensen, Privacy practices of Internet users: Selfreports versus observed behavior, International Journal of Human-Computer Studies, vol.63, pp.1071-5819, 2005.

B. Karlin, J. F. Zinger, and R. Ford, The effects of feedback on energy conservation: A meta-analysis, Psychological Bulletin, vol.141, pp.1205-1227, 2015.

A. Kendel, N. Lazaric, and K. Marechal, What do people 'learn by looking' at direct feedback on their energy consumption? Results of a field study in Southern France, Energy Policy, vol.108, pp.301-4215, 2017.
URL : https://hal.archives-ouvertes.fr/halshs-01630972

A. Keyhani, Design of smart power grid renewable energy systems, 2016.

A. Kramers, M. Hojer, N. Lovehagen, and J. Wangel, Smart sustainable cities -Exploring ICT solutions for reduced energy use in cities, Environmental Modelling & Software, vol.56, pp.1364-8152, 2014.

C. Lancelot-miltgen, A. Popovic, and T. Oliveira, Determinants of end-user acceptance of biometrics: Integrating the "Big 3" of technology acceptance with privacy context, Decision Support Systems, vol.56, pp.167-9236, 2013.
URL : https://hal.archives-ouvertes.fr/hal-01116141

N. Lazaric, F. L. Guel, J. Belin, O. Vanessa, S. Lavaud et al., Determinants of sustainable consumption in France: The importance of social influence and environmental values, Journal of Evolutionary Economics, 2019.
URL : https://hal.archives-ouvertes.fr/halshs-02387961

D. Marikyan, S. Papagiannidis, and E. Alamanos, A systematic review of the smart home literature: A user perspective, Technological Forecasting and Social Change, vol.138, pp.139-154, 2019.

L. Michaels and Y. Parag, Motivations and barriers to integrating 'prosuming' services into the future decentralized electricity grid: Findings from Israel, Energy Research & Social Science, vol.21, pp.2214-6296, 2016.

F. Mosannenzadeh, M. R. , D. Nucci, and D. Vettorato, Identifying and prioritizing barriers to implementation of smart energy city projects in Europe: An empirical approach, Energy Policy 105, pp.301-4215, 2017.

M. Motosu and Y. Maruyama, Local acceptance by people with unvoiced opinions living close to a wind farm: A case study from Japan, Energy Policy, vol.91, pp.362-370, 2016.

N. Murtagh, B. Gatersleben, and D. Uzzell, 20: 60: 20-Differences in energy behaviour and conservation between and within households with electricity monitors, PLoS One, vol.9, issue.3, 2014.

P. Neirotti, A. Marco, ]. , A. C. Cagliano, G. Mangano et al., Current trends in Smart City initiatives: Some stylised facts, Cities, vol.38, pp.264-2751, 2014.

F. Olander and J. Thogersen, Understanding of consumer behaviour as a prerequisite for environmental protection, Journal of Consumer Policy, vol.18, pp.345-385, 1995.

H. Van-ophem, The frequency of visiting a doctor: Is the decision to go independent of the frequency?, In: Journal of Applied Econometrics, vol.26, pp.872-879, 2011.

A. Paetz, E. Dutschke, and W. Fichtner, Smart homes as a means to sustainable energy consumption: A study of consumer perceptions, Journal of Consumer Policy, vol.35, pp.23-41, 2012.

Y. Parag and G. Butbul, Flexiwatts and seamless technology: Public perceptions of demand flexibility through smart home technology, Energy Research & Social Science, vol.39, pp.2214-6296, 2018.

C. Perri, C. Giglio, and V. Corvello, Smart users for smart technologies: Investigating the intention to adopt smart energy consumption behaviors, Technological Forecasting and Social Change, vol.155, pp.40-1625, 2020.

M. Prosperi, M. Lombardi, and A. Spada, Ex ante assessment of social acceptance of small-scale agro-energy system: A case study in southern Italy, Energy Policy, vol.124, pp.301-4215, 2019.

E. M. Rogers, Diffusion of Innovations. 5th, 2003.

A. Sanguinetti, B. Karlin, and R. Ford, Understanding the path to smart home adoption: Segmenting and describing consumers across the innovation-decision process, Energy Research & Social Science, vol.46, pp.2214-6296, 2018.

,

P. Scherhaufer, S. Holtinger, B. Salak, T. Schauppenlehner, and J. Schmidt, Patterns of acceptance and non-acceptance within energy landscapes: A case study on wind energy expansion in Austria, Energy Policy, vol.109, 2017.

J. Shin, Y. Park, and D. Lee, Who will be smart home users? An analysis of adoption and diffusion of smart homes, Technological Forecasting and Social Change, vol.134, pp.40-1625, 2018.

E. Strazzera, M. Mura, and D. Contu, Combining choice experiments with psychometric scales to assess the social acceptability of wind energy projects: A latent class approach, Energy Policy, pp.301-4215, 2012.

J. C. Sweeney, J. Kresling, D. Webb, G. N. Soutar, and T. Mazzarol, Energy saving behaviours: Development of a practice-based model, Energy Policy, vol.61, pp.301-4215, 2013.

F. Testa, A. Cosic, and F. Iraldo, Determining factors of curtailment and purchasing energy related behaviours, Journal of Cleaner Production, vol.112, pp.959-6526, 2016.

J. Thogersen and A. Gronhoj, Electricity saving in households?XA social cognitive approach, Energy Policy, vol.38, pp.7732-7743, 2010.

M. Thompson, Social capital, innovation and economic growth, In: Journal of Behavioral and Experimental Economics, vol.73, pp.2214-8043, 2018.

, Handbook of Statistics

J. Urban and M. Scasny, Exploring domestic energy-saving: The role of environmental concern and background variables, Energy Policy, vol.47, pp.301-4215, 2012.

V. Venkatesh, Y. L. James, X. Thong, and . Xu, Consumer acceptance and use of information technology: Extending the unified theory of acceptance and use of technology, MIS Quarterly, vol.36, pp.157-178, 2012.

K. Vringer, T. Aalbers, and K. Blok, Household energy requirement and value patterns, Energy Policy, vol.35, pp.301-4215, 2007.

J. Stephen, P. Wang, and . Moriarty, Energy savings from Smart Cities: A critical analysis, Energy Procedia, vol.158, pp.1876-6102, 2019.

H. Welsch and J. Kuhling, How green self image is related to subjective well-being: Pro-environmental values as a social norm, Ecological Economics, vol.149, pp.921-8009, 2018.

A. F. Westin, Privacy and freedom, 1967.

H. Wilhite, H. Nakagami, T. Masuda, Y. Yamaga, and H. Haneda, A cross-cultural analysis of household energy use behaviour in Japan and Norway, Energy Policy, vol.24, issue.96, pp.61-65, 1996.

C. Wilson, T. Hargreaves, and R. Hauxwell-baldwin, Benefits and risks of smart home technologies, Energy Policy, vol.103, pp.301-4215, 2017.

R. Winkelmann, Health care reform and the number of doctor visits -An econometric analysis, Journal of Applied Econometrics, vol.19, pp.455-472, 2004.

J. Wooldridge, Econometric analysis of cross section and panel data, 2010.

R. Wustenhagen, M. Wolsink, and M. J. Burer, Social acceptance of renewable energy innovation: An introduction to the concept, Energy Policy, vol.35, pp.301-4215, 2007.

M. Z. Yao, R. E. Rice, and K. Wallis, Predicting user concerns about online privacy, Journal of the American Society for Information Science and Technology, vol.58, pp.710-722, 2007.

T. Yigitcanlar, Technology and the city: Systems, applications and implications. Routledge, 2016.

X. Zhang, M. Kano, M. Tani, J. Mori, J. Ise et al., Hurdle modeling for defect data with excess zeros in steel manufacturing process, 10th IFAC Symposium on Advanced Control of Chemical Processes ADCHEM 2018, vol.51, pp.2405-8963, 2018.