Assessment of university students’ energy saving behavior by integrating stimulus-organism-response (SOR) and the theory of planned behavior (TPB)
Vol 8, Issue 3, 2023, Article identifier:
VIEWS - 675 (Abstract) 2562 (PDF)
Abstract
This paper pretends to investigate the effectiveness of distance education during the COVID-19 pandemic time. Its objective was to analyze variables that impacted the results of emergency distance education, the challenges that arise for teacher training and comprehensive and inclusive education during and after pandemic periods. It corresponds to a documentary investigation, uses qualitative content analysis, and is framed in a stage of initial results on peer-reviewed academic articles from the Web of Science and websites of institutions relevant to the topic studied. The total sample was 70 articles. The results identify variables mostly studied in the scientific literature that affected distance learning, related to socio-emotional, motivational, self-regulation and executive skills of the students, along with those coming from particular family and social contexts and the organization of schools. It is expected that the conclusions will contribute to educational policy decisions on teacher training and intersectoral actions to face future emergencies that involve school closures and constitute a set of evidence of the main barriers and facilitators of educational work in a period of health emergency available to the educational community, useful for the design of improvements in educational quality for the diversity of students in different scenarios.
Keywords
Full Text:
PDFReferences
1. Han MS, Cudjoe D. Determinants of energy-saving behavior of urban residents: Evidence from Myanmar. Energy Policy 2020; 140: 111405. doi: 10.1016/j.enpol.2020.111405
2. Hong J, She Y, Wang S, Dora M. Impact of psychological factors on energy-saving behavior: Moderating role of government subsidy policy. Journal of Cleaner Production 2019; 232: 154–162. doi: 10.1016/j.jclepro.2019.05.321
3. Hameed I, Khan K. An extension of the goal-framing theory to predict consumer’s sustainable behavior for home appliances. Energy Efficiency 2020; 13(7): 1441–1455. doi: 10.1007/s12053-020-09890-4
4. Qalati SA, Qureshi NA, Ostic D, Sulaiman MABA. An extension of the theory of planned behavior to understand factors influencing Pakistani households’ energy-saving intentions and behavior: A mediated-moderated model. Energy Efficiency 2022; 15(6): 40. doi:10.1007/s12053-022-10050-z
5. Gao L, Wang S, Li J, Li H. Application of the extended theory of planned behavior to understand individual’s energy saving behavior in workplaces. Resources, Conservation and Recycling 2017; 127: 107–113. doi: 10.1016/j.resconrec.2017.08.030
6. Tang Z, Warkentin M, Wu L. Understanding employees’ energy saving behavior from the perspective of stimulus-organism-responses. Resources, Conservation and Recycling 2019; 140: 216–223. doi: 10.1016/j.resconrec.2018.09.030
7. Biresselioglu ME, Demir MH, Rashid A, et al. What are the preferences of household energy use in Pakistan?: Findings from a national survey. Energy and Buildings 2019; 205: 109538. doi: 10.1016/j.enbuild.2019.109538
8. Waris I, Hameed I. An empirical study of consumers intention to purchase energy efficient appliances. Social Responsibility Journal 2020; 17(4): 489–507. doi: 10.1108/srj-11-2019-0378
9. Ahmad B, Irfan M, Salem S, Asif MH. Energy efficiency in the post-COVID-19 era: Exploring the determinants of energy-saving intentions and behaviors. Frontiers in Energy Research 2022; 9: 824318. doi: 10.3389/fenrg.2021.824318
10. Aslam H, Sheikh N, Zia UUR. Impact Assessment of COVID-19 on Energy and Power Sector of Pakistan. Sustainable Development Policy Institute; 2020.
11. Wang S, Lin S, Li J. Exploring the effects of non-cognitive and emotional factors on household electricity saving behavior. Energy Policy 2018; 115: 171–180. doi: 10.1016/j.enpol.2018.01.012
12. Liao X, Shen SV, Shi X. The effects of behavioral intention on the choice to purchase energy-saving appliances in China: The role of environmental attitude, concern, and perceived psychological benefits in shaping intention. Energy Efficiency 2020; 13(1): 33–49. doi: 10.1007/s12053-019-09828-5
13. Tan CS, Ooi HY, Goh YN. A moral extension of the theory of planned behavior to predict consumers’ purchase intention for energy-efficient household appliances in Malaysia. Energy Policy 2017; 107: 459–471. doi: 10.1016/j.enpol.2017.05.027
14. Zhang Y, Wang Z, Zhou G. Determinants of employee electricity saving: The role of social benefits, personal benefits and organizational electricity saving climate. Journal of Cleaner Production 2014; 66: 280–287. doi: 10.1016/j.jclepro.2013.10.021
15. Yang R, Yue C, Li J, et al. The influence of information intervention cognition on college students’ energy-saving behavior intentions. International Journal of Environmental Research and Public Health 2020; 17(5): 1659. doi: 10.3390/ijerph17051659
16. Klöckner CA. A comprehensive model of the psychology of environmental behaviour—A meta-analysis. Global Environmental Change 2013; 23(5): 1028–1038. doi: 10.1016/j.gloenvcha.2013.05.014
17. Ajzen I. The theory of planned behavior. Organizational Behavior and Human Decision Processes 1991; 50(2): 179–211. doi: 10.1016/0749-5978(91)90020-T
18. Ajzen I. Perceived behavioral control, self‐efficacy, locus of control, and the theory of planned behavior 1. Journal of Applied Social Psychology 2002; 32(4): 665–683. doi: 10.1111/j.1559-1816.2002.tb00236.x
19. Mehrabian A, Russell JA. An Approach to Environmental Psychology. Cambridge: M.I.T. Press; 1974.
20. Eroglu SA, Machleit KA, Davis LM. Atmospheric qualities of online retailing: A conceptual model and implications. Journal of Business Research 2001; 54: 177–184. doi: 10.1016/S0148-2963(99)00087-9
21. Peng C, Kim YG. Application of the Stimuli-Organism-Response (SOR) framework to online shopping behavior. Journal of Internet Commerce 2014; 13(3–4): 159–176. doi: 10.1080/15332861.2014.944437
22. Wu W, Yu L, Li H, Zhang T. Perceived environmental corporate social responsibility and employees’ innovative behavior: A stimulus-organism-response perspective. Frontiers in Psychology 2022; 12: 777657. doi: 10.3389/fpsyg.2021.777657
23. Ahmed M, Sun Z, Raza S, et al. Impact of CSR and environmental triggers on employee green behavior: The mediating effect of employee well-being. Corporate Social Responsibility and Environmental Management 2020; 27(5): 2225–2239. doi: 10.1002/csr.1960
24. Huang YS, Wei S, Ang T. The role of customer perceived ethicality in explaining the impact of incivility among employees on customer unethical behavior and customer citizenship behavior. Journal of Business Ethics 2021; 178: 519–535. doi: 10.1007/s10551- 020-04698-9
25. Wang Z, Zhang B, Li G. Determinants of energy-saving behavioral intention among residents in Beijing: Extending the theory of planned behavior. Journal of Renewable and Sustainable Energy 2014; 6(5): 053127. doi: 10.1063/1.4898363
26. Ouyang J, Hokao K. Energy-saving potential by improving occupants’ behavior in urban residential sector in Hangzhou city, China. Energy and Buildings 2009; 41(7): 711–720. doi: 10.1016/j.enbuild.2009.02.003
27. Wang Z, Guo D, Wang X, et al. How does information publicity influence residents’ behaviour intentions around e-waste recycling? Resources, Conservation and Recycling 2018; 133: 1–9. doi: 10.1016/j.resconrec.2018.01.014
28. Attiq S, Rasool H, Iqbal S. The impact of supportive work environment, trust, and self-efficacy on organizational learning and its effectiveness: A stimulus-organism response approach. Business & Economic Review 2017; 9(2): 73–100. doi: 10.22547/BER/9.2.4
29. Schulte M, Ostroff C, Kinicki AJ. Organizational climate systems and psychological climate perceptions: A cross‐level study of climate‐satisfaction relationships. Journal of Occupational and Organizational Psychology 2006; 79(4): 645–671. doi: 10.1348/096317905X72119
30. Norton TA, Zacher H, Parker SL, Ashkanasy NM. Bridging the gap between green behavioral intentions and employee green behavior: The role of green psychological climate. Journal of Organizational Behavior 2017; 38(7): 996–1015. doi: 10.1002/job.2178
31. Cheung LT, Chow AS, Fok L, et al. The effect of self-determined motivation on household energy consumption behaviour in a metropolitan area in southern China. Energy Efficiency 2017; 10(3): 549–561. doi: 10.1007/s12053-016-9472-5
32. Fornara F, Pattitoni P, Mura M, Strazzera E. Predicting intention to improve household energy efficiency: The role of value-belief-norm theory, normative and informational influence, and specific attitude. Journal of Environmental Psychology 2016; 45: 1–10. doi: 10.1016/j.jenvp.2015.11.001
33. Shi H, Fan J, Zhao D. Predicting household PM2. 5-reduction behavior in Chinese urban areas: An integrative model of theory of planned behavior and norm activation theory. Journal of Cleaner Production 2017; 145: 64–73. doi: 10.1016/j.jclepro.2016.12.169
34. Frederiks ER, Stenner K, Hobman EV. The socio-demographic and psychological predictors of residential energy consumption: A comprehensive review. Energies 2015; 8(1): 573–609. doi: 10.3390/en8010573
35. Yue T, Long R, Chen H. Factors influencing energy-saving behavior of urban households in Jiangsu province. Energy Policy 2013; 62: 665–675. doi: 10.1016/j.enpol.2013.07.051
36. Zhou Z, Luo BN, Tang TLP. Corporate social responsibility excites ‘exponential’ positive employee engagement: The Matthew effect in CSR and sustainable policy. Corporate Social Responsibility and Environmental Management 2018; 25(4): 339–354. doi: 10.1002/csr.1464
37. Zhu Q, Yin H, Liu J, Lai K. How is employee perception of organizational efforts in corporate social responsibility related to their satisfaction and loyalty towards developing harmonious society in Chinese enterprises? Corporate Social Responsibility and Environmental Management 2014; 21(1): 28–40. doi: 10.1002/csr.1302
38. Chen MF, Tung PJ. Developing an extended theory of planned behavior model to predict consumers’ intention to visit green hotels. International Journal of Hospitality Management 2014; 36: 221–230. doi: 10.1016/j.ijhm.2013.09.006
39. Wang Z, Sun Q, Wang B, Zhang B. Purchasing intentions of Chinese consumers on energy-efficient appliances: Is the energy efficiency label effective? Journal of Cleaner Production 2019; 238: 117896. doi: 10.1016/j.jclepro.2019.117896
40. He Z, Zhou Y, Wang J, et al. The impact of motivation, intention, and contextual factors on green purchasing behavior: New energy vehicles as an example. Business Strategy and the Environment 2021; 30(2): 1249–1269. doi: 10.1002/bse.2682
41. Fornell C, Larcker DF. Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research 1981; 18(1): 39–50. doi: 10.1177%2F002224378101800104
42. Nadeem MU, Kulich SJ, Bokhari IH. The assessment and validation of the depression, anxiety, and stress scale (DASS-21) among frontline doctors in Pakistan during fifth wave of COVID-19. Frontiers in Public Health 2023; 11: 1192733. doi: 10.3389/fpubh.2023.1192733
43. Nadeem MU, Kulich SJ, Zabrodskaja A, Bokhari IH. The impact of empathy, sensation seeking, anxiety, uncertainty, and mindfulness on the intercultural communication in China during the COVID-19. Frontiers in Public Health 2023; 11: 1223215. doi: 10.3389/fpubh.2023.1223215
DOI: https://doi.org/10.54517/esp.v8i3.2071
(675 Abstract Views, 2562 PDF Downloads)
Refbacks
- There are currently no refbacks.
Copyright (c) 2023 Muhammad Umar Nadeem, Ijaz Hussain Bokhari, Anastassia Zabrodskaja, Matthew A. Koschmann, Steve J. Kulich
License URL: https://creativecommons.org/licenses/by/4.0/