The Influences of Consumer Preference Characteristics towards Green Product: A Case of Naturemill Bin
Abstract
Despite a widespread adoption of green technology reported in many scholars, we continue to witness disappointing performance outcomes from their implementation. This can be explained largely by the failure of many studies to translate the initial adoption decision, made at an individual-level acceptance of a technology to be used by human. This study examines the key antecedents of the Technology Acceptance Model for users expected to use a naturemill bins in their day-to-day activities. In this study, we apply and extend the Technology Acceptance Model (TAM) to examine factors that influence acceptance of naturemill bins by individual users. Our focus is on the potential role of user-perceived naturemill bins quality dimensions as antecedents to the TAM’s cognitive mechanisms of perceived usefulness and perceived ease of use (PEU), and the user’s trust in using it. Our results confirm the core TAM relationships within the naturemill bins context and (PEU) found to be the most significant influencer of the consumer acceptance towards green products (Naturemill bin).
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F. R. Azmi, H. Musa, A. R. Abdullah, N. A. Othman, and S. Fam, “Analyzing the awareness of green technology in Malaysia practices,” in Proceedings of Mechanical Engineering Research Day, 2017, pp. 252–254.
H. Musa and M. Chinniah, “Malaysian SMEs Development: Future and Challenges on Going Green,” in Procedia - Social and Behavioral Sciences, 2016, vol. 224, pp. 254–262.
Chief, “The 10 worst pollution problems in the world,” Mother Nature Network, 2009. [Online]. Available: https://www.mnn.com/earth-matters/ wilderness-resources/photos/the-10-worstpollution- problems-in-the-world/bad-form. [Accessed: 28-Sep-2017].
D. M. Boyd and N. B. Ellison, “Social network sites: Definition, history, and scholarship,” J. Comput. Commun., vol. 13, no. 1, pp. 210–230, 2007.
Numbeo, “Pollution Index by Country 2017 Mid- Year,” Numbeo, 2015. [Online]. Available: https:// www.numbeo.com/pollution/rankings_by_ country.jsp. [Accessed: 28-Sep-2017].
O. Omoju, “Environmental Pollution is Inevitable in Developing Countries,” Breaking Media, 2014. [Online]. Available: https://breakingenergy. com/2014/09/23/environmental-pollution-isinevitable- in-developing-countries/. [Accessed: 28-Sep-2017].
S. Shankar and Shikha, “Renewable and Nonrenewable Energy Resources: Bioenergy and Biofuels,” in Principles and Applications of Environmental Biotechnology for a Sustainable Future, Singapore: Springer Singapore, 2017, pp. 293–314.
M. I. Jasmi, Z. A. Abas, A. F. N. A. Rahman, and A. S. Shibghatullah, “Optimized Coating Design of Energy Saving Glass Using Binary Harmony Search for Better Transmission Signal,” Int. J. Comput. Sci. Inf. Secur., vol. 14, no. 8, 2016.
InvestorWords, “What is a consumer? definition and meaning,” WebFinance, 2015. [Online]. Available: http://www.investorwords.com/1055/ consumer.html. [Accessed: 28-Sep-2017].
S. H. Glenzer et al., “Demonstration of Ignition Radiation Temperatures in Indirect-Drive Inertial Confinement Fusion Hohlraums,” Phys. Rev. Lett., vol. 106, no. 8, p. 85004, Feb. 2011.
F. D. Davis, R. P. Bagozzi, and P. R. Warshaw, “User Acceptance of Computer Technology: A Comparison of Two Theoretical Models,” Manage. Sci., vol. 35, no. 8, pp. 982–1003, Aug. 1989.
D. C. Yen, C.-S. Wu, F.-F. Cheng, and Y.-W. Huang, “Determinants of users’ intention to adopt wireless technology: An empirical study by integrating TTF with TAM,” Comput. Human Behav., vol. 26, no. 5, pp. 906–915, Sep. 2010.
R. Ozaki and K. Sevastyanova, “Going hybrid: An analysis of consumer purchase motivations,” Energy Policy, vol. 39, no. 5, pp. 2217–2227, May 2011.
M. H. Fagan, S. Neil, and B. R. Wooldridge, “Exploring the Intention to Use Computers: An Empirical Investigation of the Role of Intrinsic Motivation, Extrinsic Motivation, and Perceived Ease of Use,” J. Comput. Inf. Syst., vol. 48, no. 3, pp. 31–37, 2008.
J. Vella, A. Caruana, and L. Pitt, “Organizational commitment and users’ perception of ease of use: a study among bank managers,” J. Manag. Dev., vol. 32, no. 4, pp. 351–362, Apr. 2013.
T. Ramayah and M. Lo, “Impact of shared beliefs on ‘perceived usefulness’ and ‘ease of use’ in the implementation of an enterprise resource planning system,” Manag. Res. News, vol. 30, no. 6, pp. 420–431, May 2007.
M. Nasser Al-Suqri, “Perceived usefulness,m perceived ease-of-use and faculty acceptance of electronic books,” Libr. Rev., vol. 63, no. 4/5, pp. 276–294, Jul. 2014.
Y. Chen and S. Barnes, “Initial trust and online buyer behaviour,” Ind. Manag. Data Syst., vol. 107, no. 1, pp. 21–36, Jan. 2007.
T. Zarmpou, V. Saprikis, A. Markos, and M. Vlachopoulou, “Modeling users’ acceptance of mobile services,” Electron. Commer. Res., vol. 12, no. 2, pp. 225–248, May 2012.
B. Mayank and J. Amit, “Green Marketing: A Study of Consumer Perception and Preferences in India,” Electron. Green J., vol. 1, no. 36, pp. 1–19, 2013.
J. Joseph F. Hair, W. C. Black, B. J. Babin, and R. E. Anderson, Multivariate Data Analysis, 7th ed. Pearson, 2010.
C. Williams, “Research Methods,” J. Bus. Econ. Res., vol. 5, no. 3, Feb. 2011.
The Institute for Work & Health, “What researchers mean by... primary data and secondary data,” The Institute for Work & Health, 2015. [Online]. Available: http://www.iwh. on.ca/wrmb/primary-data-and-secondary-data. [Accessed: 28-Sep-2017].
R. S. Mehta, “Conceptual and theoretical framework,” LinkedIn Corporation, 2015. [Online]. Available: https://www.slideshare.net/rsmehta/ conceptual-and-theoretical-framework?from_ action=save. [Accessed: 28-Sep-2017].
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