Smart Energy Consumers: An Empirical Investigation on the Intention to Adopt Innovative Consumption Behaviour
Commenced in January 2007
Frequency: Monthly
Edition: International
Paper Count: 33122
Smart Energy Consumers: An Empirical Investigation on the Intention to Adopt Innovative Consumption Behaviour

Authors: Cecilia Perri, Vincenzo Corvello

Abstract:

The aim of the present study is to investigate consumers' determinants of intention toward the adoption of Smart Grid solutions and technologies. Ajzen's Theory of Planned Behaviour (TPB) model is applied and tested to explain the formation of such adoption intention. An exogenous variable, taking into account the resistance to change of individuals, was added to the basic model. The elicitation study allowed obtaining salient modal beliefs, which were used, with the support of literature, to design the questionnaire. After the screening phase, data collected from the main survey were analysed for evaluating measurement model's reliability and validity. Consistent with the theory, the results of structural equation analysis revealed that attitude, subjective norm, and perceived behavioural control positively, which affected the adoption intention. Specifically, the variable with the highest estimate loading factor was found to be the perceived behavioural control, and, the most important belief related to each construct was determined (e.g., energy saving was observed to be the most significant belief linked with attitude). Further investigation indicated that the added exogenous variable has a negative influence on intention; this finding confirmed partially the hypothesis, since this influence was indirect: such relationship was mediated by attitude. Implications and suggestions for future research are discussed.

Keywords: Adoption of innovation, consumers behaviour, energy management, smart grid, theory of planned behaviour.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1108154

Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 2103

References:


[1] Ajzen, I. (1985). From Intentions to Actions: A Theory of Planned Behavior. In J. Kuhl, & J. Beckman (Eds.), Action-Control: From Cognition to Behavior (pp. 11–39). Heidelberg: Springer.
[2] Ajzen, I. (1991). The Theory of Planned Behavior. Organizational Behavior and Human Decision Processes, 50(2), 179–211.
[3] Ajzen, I. (1996). The Social Psychology of Decision Making. In E.T. Higgins & A.W. Kruglanski (Eds.), Social Psychology: Handbook of Basic Principles, 297 – 328.
[4] Ajzen, I. (2001). Nature and Operation of Attitude. Annual Review of Psychology, 52(1), 27–58.
[5] Ajzen, I. (2002). Perceived Behavioral Control, Self-Efficacy, Locus of Control, and the Theory of Planned Behavior. Journal of Applied Social Psychology, 32, 665-683
[6] Ajzen, I. (2005). Attitudes, Personality, and Behavior (2nd ed.). Maidenhead, UK: Open University Press.
[7] Ajzen, I. (2005). Laws of Human Behavior: Symmetry, Compatibility, and Attitude- Behavior Correspondence. In A. Beauducel, B. Biehl, M. Bosniak, W. Conrad, G. Schönberger, & D. Wagener (Eds.), Multivariate research strategies (pp. 3-19). Aachen, Germany: Shaker Verlag.
[8] Ajzen, I. (2005). Attitudes, Personality, and Behavior (2nd. Edition). Milton-Keynes, England: Open University Press / McGraw-Hill.
[9] Ajzen, I. (2008). Consumer Attitudes and Behavior. In C. P. Haugtvedt, P. M. Herr & F. R. Cardes (Eds.), Handbook of Consumer Psychology (pp. 525- 548). New York: Lawrence Erlbaum Associates.
[10] Ajzen, I. (2011). The Theory of Planned Behaviour: Reactions and Reflections. Psychology & Health, 26(9), 1113-1127.
[11] Ajzen, I. (2012). The Theory of Planned Behavior. In P. A. M. Lange, A. W. Kruglanski & E. T. Higgins (Eds.), Handbook of Theories of Social Psychology (Vol. 1, pp. 438-459). London, UK: Sage.
[12] Ajzen, I., & Driver, B.L. (1992). Application of the Theory of Planned Behavior to Leisure Choice. Journal of Leisure Research, 24 (3), pp. 207–224
[13] Ajzen, I., & Fishbein, M. (1980). Understanding Attitude and Predicting Social Behavior. Englewood Cliffs, NJ: Prentice-Hall, Inc.
[14] Ajzen, I., & Madden, T. (1986). Prediction of Goal-Directed Behavior: Attitude, Intentions, and Perceived Behavioral Control. Journal of Experimental Social Psychology, 22, 453–474.
[15] Ajzen, I., 2009. A Theory of Planned Behavior. Retrieved from http://people. umass.edu/aizen/tpb.html
[16] Albarracín, D., Fishbein, M., Johnson, B. T., & Muellerleile, P. A. (2001). Theories of Reasoned Action and Planned Behavior as Models of Condom Use: A Meta-Analysis. Psychological Bulletin, 127(1), 142- 161
[17] Albayrak, T., Aksoy, S., & Caber, M. (2013). The Effect of Environmental Concern and Scepticism on Green Purchase Behaviour. Marketing Intelligence & Planning, 31(1), 27-39.
[18] Al-Gahtani, S. S., Hubona, G. S., & Wang, J. (2007). Information Technology (IT) in Saudi Arabia: Culture and the Acceptance and Use of IT. Information and Management, 44(8), 681-691.
[19] Anderson, J. C., & Gerbing, D. W. (1988). Structural Equation Modeling in Practice: A Review and Recommended Two-Step Approach. Psychological Bulletin, 103(3), 411–423.
[20] Armitage, C. J., & Conner, M., (1999). The Theory of Planned Behaviour: Assessment of Predictive Validity and Perceived Control. British Journal of Social Psychology 38, 35–54.
[21] Armitage, C. J., & Conner, M. (2001). Efficacy of the Theory of Planned Behaviour: A Meta-Analytic Review. British Journal of Social Psychology, 40(4), 471-499.
[22] Arvola, A., Vassallo, M., Dean, M., Lampila, P., Saba, A., Lähteenmäki, L., & Shepherd, R. (2008). Predicting Intentions to Purchase Organic food: The Role of Affective and Moral Attitudes in the Theory of Planned Behaviour. Appetite, 50(2-3), 443-454.
[23] Bagozzi, R. P., & Lee, K. H. (1999). Consumer Resistance to, and Acceptance of Innovations. Advances in Consumer Research Volume 26, pp. 218-225
[24] Bagozzi, R. P., & Yi, Y. (1988). On the Evaluation of Structural Equation Models. Journal of the Academy of Marketing Science, 16, 74–94.
[25] Baker, E. W., Al-Gahtani, S. S., & Hubona, G. S. (2007). The Effects of Gender and Age on New Technology Implementation in a Developing Country: Testing the Theory of Planned Behavior (TPB). Information Technology & People, 20(4), 352–375.
[26] Blue, C.L. (1995). The Predictive Capacity of Theory of Reasoned Action and the Theory of Planned Behaviour in Exercise Research: An integrated literature review. Research in Nursing & Health, 18, 105– 121.
[27] Botetzagias, I., Dima, A., & Malesios, C. (2015). Extending the Theory of Planned Behavior in the Context of Recycling: The Role of Moral Norms and of Demographic Predictors. Resources, Conservation and Recycling, 95, 58-67.
[28] Cardenas, J. A., Gemoets, L., Ablanedo Rosas, J. H., & Sarfi, R. (2014). A Literature Survey on Smart Grid Distribution: An Analytical Approach. Journal of Cleaner Production, 65, 202-216.
[29] Chang, M. K. (1998). Predicting Unethical Behavior: A Comparison of the Theory of Reasoned Action and Theory of Planned Behavior. Journal of Business Ethics, 17, 1825–1834.
[30] Cheng, S., Lam, T., & Hsu, C. H. C. (2005). Testing the Sufficiency of the Theory of Planned Behavior: A Case of Customer Dissatisfaction Responses in Restaurants. International Journal of Hospitality Management, 24(4), 475–492.
[31] Cheng, S., Lam, T., & Hsu, C. H. C. (2006). Negative Word-of-Mouth Communication Intention: An Application of the Theory of Planned Behavior. Journal of Hospitality & Tourism Research, 30(1), 95–116.
[32] Churchill, G. A. (1979). A Paradigm for Developing Better Measures of Marketing Constructs. Journal of Marketing Research, 16, 64–73.
[33] Cohen, Joel B., Martin Fishbein and Olli T. Ahtolam, 1972. The Nature and Uses of Expectancy-Value Models in Consumer Attitude Research. Journal of Marketing Research, Vol. 9, No. 4, 456-460
[34] Conner, M., & Abraham, C. (2001). Conscientiousness and the Theory of Planned Behavior: Towards a more Complete Model of the Antecedents of Intentions and Behavior. Personality and Social Psychology Bulletin, 27(11), 1547–1561.
[35] Cronbach, L. J. (1951). Coefficient Alpha and the Internal Structure of tests. Psychometrika, 16, 297–334.
[36] Eagry, A. H., & Chailen, S. (1993). Psychology of Attitudes. Fort Worth, TX: Harcourt Brace Jovanovich.
[37] East, R. (2000). Complaining as Planned Behavior. Psychology & Marketing, 17(12), 1077–1095.
[38] East, R., Wright, M., Vanhuele, M., (2008). Consumer Behaviour. Applications in Marketing. (pp. 127-148) SAGE Publications of London.
[39] Faiers, A., Cook, M., & Neame, C. (2007). Towards a Contemporary Approach for Understanding Consumer Behaviour in the Context of Domestic Energy Use. Energy Policy, 35(8), 4381-4390.
[40] Fielding, K. S., McDonald, R., & Louis, W. R. (2008). Theory of Planned Behaviour, Identity and Intentions to Engage in Environmental Activism. Journal of Environmental Psychology, 28(4), 318-326.
[41] Fishbein, M. A., & Ajzen, I. (1975). Belief, Attitude, Intention and Behavior: An Introduction to Theory and Research. Reading, MA: Addison-Wesley.
[42] Fishbein, M., & Ajzen, I. (2010). Predicting and Changing Behavior: The Reasoned Action Approach. New York: Psychology Press.
[43] Ford, J. K., MacCallum, R. C., & Tait, M. (1986). The Applications of Exploratory Factor Analysis in Applied Psychology: A Critical Review and Analysis. Personnel Psychology, 39, 291–314.
[44] Fornell, C., & Larcker, D. F. (1981). Evaluating Structural Equation Models with Unobservable Variables and Measurement Error. Journal of Marketing Research, 18, 39–50.
[45] French, D. P., & Hankins, M. (2003). The Expectancy-Value Muddle in the Theory of Planned Behaviour-And Some Proposed Solutions. British Journal of Health Psychology, 8(1), 37-55.
[46] Godin, G., & Kok, G. (1996). The Theory of Planned Behaviour: A Review of Its Applications to Health-Related Behaviors. American Journal of Health Promotion, 11, 87–98.
[47] Hagger, M.S., Chatzisarantis, M. L. D., & Biddle, S. J. H. (2002). A Meta-Analytic Review of the Theories of Reasoned Action and Planned Behaviour in Physical Activity: Predictive Validity and the Contribution of Additional Variables. Journal of Sport & Exercise Psychology, 24, 3– 32.
[48] Hair, J. F., Anderson, R. E., Tatham, R. L., & Black, W. C. (1998). Multivariate Data Analysis (8th ed.). Upper Saddle River, NJ: Prentice- Hall, Inc.
[49] Hair, J. F., Black, W. C., Babin, B. J., Anderson, R. E., & Tatham, R. L. (2006). Multivariate Data Analysis (6th ed.). Upper Saddle River, New Jersey: Pearson Education, Inc.
[50] Han, H., & Kim, Y. (2010). An Investigation of Green Hotel Customers' Decision Formation: Developing an Extended Model of the Theory of Planned Behavior. International Journal of Hospitality Management, 29(4), 659-668.
[51] Han, H., Hsu, L., & Sheu, C. (2010). Application of the Theory of Planned Behavior to Green Hotel Choice: Testing the Effect of Environmental Friendly Activities. Tourism Management, 31(3), 325- 334.
[52] Hankins, M., French, D., & Horne, R. (2000). Statistical Guidelines for Studies of the Theory of Reasoned Action and the Theory of Planned Behaviour. Psychology and Health, 15(2), 151-161.
[53] Hee, S. P. (2000). Relationships Among Attitudes and Subjective Norm: Testing the Theory of Reasoned Action Across Cultures. Communication Studies, 51(2),162–175.
[54] Huh, M.H., 2001. Statistics Analysis. Bobmunsa, Seoul.
[55] Inemek, A., & Matthyssens, P. (2013). The Impact of Buyer-Supplier Relationships on Supplier Innovativeness: An Empirical Study in Cross- Border Supply Networks. Industrial Marketing Management, 42(4), 580- 594.
[56] Jöreskog, K. G., & Sörbom, D. (1993). LISREL 8: Structural Equation Modeling with The SIMPLIS Command Language. Chicago, IL: Scientific Software International.
[57] Kim, D.U., (2008). AMOS A to Z: Structural Equation Modeling for Writing Papers. Hakhyunsa, Paju.
[58] Kim, K. (2008). Analysis of Structural Equation Model for the Student Pleasure Travel Market: Motivation, Involvement, Satisfaction, and Destination Loyalty. Journal of Travel and Tourism Marketing, 24(4), 297-313.
[59] Kim, K.S., (2008). Structural Equation Modeling Analysis. Hannarae, Seoul.
[60] Klein, RB., (1998). Principles and Practice of Structural Equation Modeling. New York (NY): Guilford Publications;
[61] Lam, T., & Hsu, C. H. C. (2004). Theory of Planned Behavior: Potential Travelers from China. Journal of Hospitality & Tourism Research, 28(4), 463–482.
[62] Laroche, M., Bergeron, J., & Barbaro-Forleo, G. (2001). Targeting Consumers who are willing to Pay more for Environmentally Friendly Products. Journal of Consumer Marketing, 18(6), 503–520.
[63] Lee, M. J. (2005). Effects of Attitude and Destination Image on Association Members’ Meeting Participation Intentions: Development of Meeting Participation Model. Unpublished doctoral dissertation, Manhattan, KS: Kansas State University.
[64] Lee, Y., Yang, C., & Chen, T. (2015). Barriers to Incident-Reporting Behavior among Nursing Staff: A Study Based on the Theory of Planned Behavior. Journal of Management and Organization
[65] Litvine, D., & Wüstenhagen, R. (2011). Helping "Light Green" Consumers Walk the Talk: Results of a Behavioural Intervention Survey in the Swiss Electricity Market. Ecological Economics, 70(3), 462-474.
[66] Loewenstein, G. F., Weber, E. U., Hsee, C. K., Welch, N. (2001). Risk as Feelings. Psych Bulletin, 127, 267-286.
[67] Madden, T., Ellen, P. S., & Ajzen, I. (1992). A Comparison of the Theory of Planned Behavior and the Theory of Reasoned Action. Personality and Social Psychology Bulletin, 18(2), 3–9.
[68] Mah, D. N. Y., van der Vleuten, J. M., Hills, P., & Tao, J. (2012). Consumer Perceptions of Smart Grid Development: Results of a Hong Kong Survey and Policy Implications. Energy Policy, 49, 204-216.
[69] Mahon, D., Cowan, C., & McCarthy, M. (2006). The Role of Attitudes, Subjective Norm, Perceived Control and Habit in the Consumption of Ready Meals and Takeaways in Great Britain. Food Quality and Preference, 17(6), 474-481.
[70] Manstead, A. S. R., & Parker, D. (1995). Evaluating and Extending the Theory of Planned Behaviour. In W. Stroebe, & M. Hewstone (Eds.), European Review of Social Psychology, Vol. 6(pp.69–96). Chichester: Wiley.
[71] Marques, V., Bento, N., & Costa, P. M. (2014). The "Smart Paradox": Stimulate the Deployment of Smart Grids with Effective Regulatory Instruments. Energy, 69, 96-103.
[72] NEWCOMB, T. M. (1953). Social Psychology and Group Processes. Annual Review of Psychology, 4, 183-214.
[73] Nunnally, J. C. (1978). Psychometric Theory. New York, NY: McGraw- Hill.
[74] Nye, M., Whitmarsh, L., Foxon, T., (2010). Sociopsychological Perspectives on the Active Roles of Domestic Actors in Transition to a Lower Carbon Electricity Economy. Environment and Planning A 42, 697–714.
[75] Osgood, C. E., & Tannenbaum, P. H. (1955). The Principle of Congruity in the Prediction of Attitude Change. Psychological Review, 62(1), 42- 55.
[76] Owens, S., & Driffill, L. (2008). How to Change Attitudes and Behaviours in the Context of Energy. Energy Policy, 36(12), 4412- 4418.
[77] Park, C. K., Kim, H. J., & Kim, Y. S. (2014). A Study of Factors Enhancing Smart Grid Consumer Engagement. Energy Policy, 72, 211- 218.
[78] Petty, R. E., Haugtvedt, C. P., and Smith, S. M. (1995). "Elaboration as a Determinant of Attitude Strength: Creating Attitudes that are Persistent, Resistant, and Predictive of Behavior," in Attitude Strength: Antecedents and Consequences, (eds.) Richard E. Petty and Jon A. Krosnick, Lawrence Erlbaum Associates, Publishers, 93-130.
[79] Reisinger, Y., & Turner, L. (1999). Structural Equation Modeling with Lisrel: Application in Tourism. Tourism Management, 20(1), 71-88.
[80] Rhodes, R. E., & Courneya, K. S. (2003). Investigating Multiple Components of Attitude, Subjective Norm, and Perceived Control: An Examination of the Theory of Planned Behaviour in the Exercise Domain. British Journal of Social Psychology, 42(1), 129-146.
[81] Sheppard, B. H., Hartwick, J., & Warshaw, P. R. (1988). The Theory of Reasoned Action: a Meta-Analysis of Past Research with Recommendations for Modifications and Future Research. Journal of Consumer Research, 15, 325–343.
[82] Sheth, J. N. (1981). "Psychology of Innovation Resistance: The Less Developed Concept (LDC) in Diffusion Research", Research in Marketing, 4, 273-282.
[83] Stewart Jr., W. H., May, R. C., & Ledgerwood, D. E. (2015). Do you Know What I Know? Intent to Share Knowledge in the US and Ukraine. Management International Review
[84] Streiner, D. L. (2005). Finding Our Way: An Introduction to Path Analysis. Canadian Journal of Psychiatry, 50(2), 115-122.
[85] Streiner, D. L. (2006). Building a Better Model: An Introduction to Structural Equation Modelling. Canadian Journal of Psychiatry, 51(5), 317-324.
[86] Taylor, S., & Todd, P. (1995). Decomposition and Crossover Effects in the Theory of Planned Behavior: A Study of Consumer Adoption Intentions. International Journal of Research in Marketing, 12(2), 137- 155.
[87] Tetlow, R. M., van Dronkelaar, C., Beaman, C. P., Elmualim, A. A., & Couling, K. (2015). Identifying Behavioural Predictors of Small Power Electricity Consumption in Office Buildings. Building and Environment, 92, 75-85.
[88] Tonglet, M., Phillips, P. S., & Read, A. D. (2004). Using the Theory of Planned Behaviour to Investigate the Determinants of Recycling Behaviour: A Case Study from Brixworth, UK. Resources, Conservation and Recycling, 41(3), 191-214.
[89] Vasseur, V., & Kemp, R. (2014). The Adoption of PV in the Netherlands: A Statistical Analysis of Adoption Factors. Renewable and Sustainable Energy Reviews, 41, 483-494.
[90] Verbeke, W., & Vackier, I. (2005). Individual Determinants of fish Consumption: Application of the Theory of Planned Behaviour. Appetite, 44(1), 67-82.
[91] Verbong, G. P. J., Beemsterboer, S., & Sengers, F. (2013). Smart Grids or Smart Users? Involving Users in Developing a Low Carbon Electricity Economy. Energy Policy, 52, 117-125.
[92] Zaltman, G. and .Wallendorf, M. (1983). Consumer Behavior: Basic Findings and Management Implications, New York: John Wiley & Sons.