Sustainability Awareness, Health Literacy, and the Inclination to Buy Smart Lights: A Conceptual Paper
DOI:
https://doi.org/10.48165/sajssh.2023.4103%20Keywords:
Altruism, Social Sustainability Awareness, Environmental Sustainability Awareness, Health Literacy, Smart LightsAbstract
Expansion of businesses and industrialization has led to depletion of natural resources and has turned the concerns of the global communities, especially countries like China and America, on. The excess population of China has led to creating huge depletions of natural resources and carbon emissions. This is why China is now considering green initiatives as compulsory and important for mitigation of negative environmental impacts, negative impacts on the growth of economy, and on the health and literacy of the common man. Therefore, the aim of the current study was to analyze the various factors that lead to increased opportunity of buying from online domains. The framework presented within this study entails that social and environmental sustainability awareness and health literacy can lead to enhancing the purchase decisions of smart and green products such as smart light. Altruism has been used as a connection variable between these factors as altruistic nature of consumer has shown toenhance the buying behavior. The conceptual framework presented din this study needs to be validated through empirical research in the future.
References
Akman, I., & Mishra, A. (2015). Sector diversity in Green Information Technology practices: Technology Acceptance Model perspective. Computers in Human Behavior, 49, 477-486. https://doi.org/https://doi.org/10.1016/j.chb.2015.03.009
Alipour, M., Salim, H., Stewart, R. A., & Sahin, O. (2020). Predictors, taxonomy of predictors, and correlations of predictors with the decision behaviour of residential solar photovoltaics adoption: A review. Renewable and Sustainable Energy Reviews, 123, 109749.
Anane, J. (2022). A Pragmatic Study of Apology Strategies in Akan (Twi). South Asian Journal of Social Sciences and Humanities, 3(6), 38-58.
Anser, M. K., Yousaf, Z., & Zaman, K. (2020). Green Technology Acceptance Model and Green Logistics Operations: “To See Which Way the Wind Is Blowing” [Review]. Front. Sustain., 1(3). https://doi.org/10.3389/frsus.2020.00003
Asadi, S., Nilashi, M., Samad, S., Abdullah, R., Mahmoud, M., Alkinani, M. H., & Yadegaridehkordi, E. (2021). Factors impacting consumers’ intention toward adoption of electric vehicles in Malaysia. Journal of Cleaner Production, 282, 124474.
Ashraf, A. R., Thongpapanl, N., & Auh, S. (2014). The application of the technology acceptance model under different cultural contexts: The case of online shopping adoption. Journal of International Marketing, 22(3), 68-93.
Ashraf, A., Ishfaq, K., Ashraf, M. U., & Zulfiqar, Z. (2019). Parenting Style as a Cognitive Factor in Developing Big-Five Personality Traits among Youth: A Study of Public University in Multan, Pakistan. Review of Education, Administration and Law, 2(2), 103-112.
Ashraf, M. U., Raza, S., Ashraf, A., Mehmood, W., & Patwary, A. K. (2021). Silent cries behind closed doors: An online empirical assessment of fear of COVID‐19, situational depression, and quality of life among Pakistani citizens. Journal of Public Affairs, 21(4), e2716.
Benamati, J., & Rajkumar, T. J. I. R. M. J. (2008). An outsourcing acceptance model: An application of TAM to application development outsourcing decisions. 21(2), 80-102.
Bhat, U. M., Bapat, D., & Mookerjee, A. (2021). Impact of personality factors on purchase and adoption of consumer durables with advanced technology. Journal of Indian Business Research.
Butcher, K., & Chomvilailuk, R. (2021). Guest benefits of hedonic value and perceived community value drive hotel CSR participation. Journal of Sustainable Tourism, 1-18.
Çelik, H. E., & Yilmaz, V. (2011). Extending the technology acceptance model for adoption of e-shopping by consumers in Turkey. Journal of Electronic Commerce Research, 12(2), 152.
Chew, I., Karunatilaka, D., Tan, C. P., & Kalavally, V. (2017). Smart lighting: The way forward? Reviewing the past to shape the future. Energy and Buildings, 149, 180-191.
Elkheloufi, A., & Yean, T. F. (2022). The Relationship between Job Demands and Positive Emotions on Work Engagement among Academic Staff in Algeria: A Conceptual Paper. South Asian Journal of Social Sciences and Humanities, 3(3), 1-14.
Greaves, M., Zibarras, L. D., & Stride, C. (2013). Using the theory of planned behavior to explore environmental behavioral intentions in the workplace. Journal of Environmental Psychology, 34, 109-120.
Groß, M. (2015). Mobile shopping: a classification framework and literature review. International Journal of Retail & Distribution Management.
H, H., & SS, H. (2017). Drivers of customer decision to visit an environmentally responsible museum: merging the theory of planned behavior and norm activation theory. Journal of Travel & Tourism Marketing, 1155-1168.
Haba, H., Hassan, Z., & Dastane, O. (2017). Factors leading to consumer perceived value of smartphones and its impact on purchase intention. Global Business and Management Research: An International Journal, 9(1).
Hajli, N. (2015). Social commerce constructs and consumer’s intention to buy. International Journal of Information Management, 35(2), 183-191.
Hew, J.-J., Leong, L.-Y., Tan, G. W.-H., Lee, V.-H., & Ooi, K.-B. (2018). Mobile social tourism shopping: A dual-stage analysis of a multi-mediation model. Tourism Management, 66, 121-139.
Ismagilova, E., Slade, E. L., Rana, N. P., & Dwivedi, Y. K. (2020). The effect of electronic word of mouth communications on intention to buy: A meta-analysis. Information Systems Frontiers, 22(5), 1203- 1226.
Juric, J., & Lindenmeier, J. (2019). An empirical analysis of consumer resistance to smart-lighting products. Lighting Research & Technology, 51(4), 489-512.
Kalantari, M. (2017). Consumers’ adoption of wearable technologies: literature review, synthesis, and future research agenda. International Journal of Technology Marketing, 12(3), 274-307.
Kamal, S. A., Shafiq, M., & Kakria, P. (2020). Investigating acceptance of telemedicine services through an extended technology acceptance model (TAM). Technology in Society, 60, 101212.
Karlin, B., Sanguinetti, A., & Ford, R. (2018). Smart home products with energy management implications: Characterizing and comparing adoption, experiences, and outcomes.
Khan, M. A., Khan, S. A., & Khan, V. (2022). Impact of Covid-19 Pandemic on Tourists' Behavior and Preferences: A Critical Insight. South Asian Journal of Social Sciences and Humanities, 3(4), 123- 137.
Kim, J. S. (2016). An extended technology acceptance model in behavioral intention toward hotel tablet apps with moderating effects of gender and age. International Journal of Contemporary Hospitality Management.
Kumar, P., Singh, R. K., Vaish, A. J. C. T., & Policy, E. (2017). Suppliers’ green performance evaluation using fuzzy extended ELECTRE approach. 19(3), 809-821.
Lai, J. Y., & Chang, C. Y. (2011). User attitudes toward dedicated e‐book readers for reading: The effects of convenience, compatibility and media richness. Online information review.
Lai, J. Y., & Ulhas, K. R. (2012). Understanding acceptance of dedicated e‐textbook applications for learning: Involving Taiwanese university students. The Electronic Library.
Lee, S. (2013). An integrated adoption model for e-books in a mobile environment: Evidence from South Korea. Telematics and Informatics, 30(2), 165-176.
Lunney, A., Cunningham, N. R., & Eastin, M. S. (2016). Wearable fitness technology: A structural investigation into acceptance and perceived fitness outcomes. Computers in Human Behavior, 65, 114-120.
MacAskill, & William. (2015). Doing Good Better. Avery.
Malik, M. I., Ahmad, M., Hussain, A., Saleem, F., Durrani, M. K., Hyder, S., Qureshi, S. S., Imtiaz, S., & Malik, S. (2020). Renewable Energy Products and Customer’s Purchase Intentions having Environmental Concern. International Journal of Energy Economics and Policy, 10(6), 14.
Martins, C., Oliveira, T., & Popovič, A. (2014). Understanding the Internet banking adoption: A unified theory of acceptance and use of technology and perceived risk application. International Journal of Information Management, 34(1), 1-13.
Moghavvemi, S., Jaafar, N. I., Sulaiman, A., & Parveen Tajudeen, F. (2020). Feelings of guilt and pride: Consumer intention to buy LED lights. PLoS One, 15(6), e0234602.
Moghavvemi, S., Jaafar, N. I., Sulaiman, A., & Tajudeen, F. P. (2020). Feelings of guilt and pride: Consumer intention to buy LED lights. Plos one.
Nardelli, Deuschle, Azevedo, d., Pessoa, & Ghisi. (2017). Assessment of Light Emitting Diodes technology for general lighting: A critical review. Renewable and Sustainable Energy Reviews, 368–379.
Noor, M. A., Hossain, T., & Shirazi, H. (2022). Effects of Financial Inclusion on the Economic Growth of Developing Countries: An Empirical Analysis of the Bangladesh Economy. South Asian Journal of Social Sciences and Humanities, 3(6), 10-22.
Rahman, M. S., Hossain, M. I., & Hossain, G. M. S. (2020). FACTORS AFFECTING CONSUMERS’GREEN PURCHASE BEHAVIOR TOWARDS ENERGY SAVING LIGHTS IN BANGLADESH: THE MEDIATING ROLE OF GREEN PURCHASE INTENTION. International Journal of Information, Business and Management, 12(3), 19-37.
Rese, A., Baier, D., Geyer-Schulz, A., & Schreiber, S. (2017). How augmented reality apps are accepted by consumers: A comparative analysis using scales and opinions. Technological Forecasting and Social Change, 124, 306-319.
Ritchie, B. W., Prideaux, B., Thompson, M., & Demeter, C. (2021). Understanding tourists’ attitudes toward interventions for the Great Barrier Reef: an extension of the norm activation model. Journal of Sustainable Tourism, 1-20.
Robina-Ramírez, R., Chamorro-Mera, A., & Moreno-Luna, L. (2020). Organic and online attributes for buying and selling agricultural products in the e-marketplace in Spain. Electronic Commerce Research and Applications, 42, 100992.
Siddiqui, S. A. (2022). Development Through the Lenses of Migration. South Asian Journal of Social Sciences and Humanities, 3(4), 1-10.
Ueasangkomsate, P., & Santiteerakul, S. (2016). A study of consumers’ attitudes and intention to buy organic foods for sustainability. Procedia Environmental Sciences, 34, 423-430.
world, B. (2018). Understanding Poverty/Energy Overview. The World Bank.
Zhang, Liu, & Zhao. (2018). Antecedents of citizens’ environmental complaint intention in China: An empirical study based on norm activation model. Resources, Conservation and Recycling, 121–128.
Zipperer, A., Aloise-Young, P. A., Suryanarayanan, S., Roche, R., Earle, L., Christensen, D., Bauleo, P., & Zimmerle, D. (2013). Electric energy management in the smart home: Perspectives on enabling technologies and consumer behavior. Proceedings of the IEEE, 101(11), 2397-2408.
