IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v13y2021i13p7379-d586743.html
   My bibliography  Save this article

Practicing Green Residence Business Model Based on TPB Perspective

Author

Listed:
  • Chao Wu

    (Propaganda Department, Hangzhou Dianzi University, Hangzhou 310018, China)

  • Shuling Liang

    (Hangxiao Steel Structure Co., LTD., Hangzhou 310018, China)

  • Weijiong Wu

    (School of Management, Guangdong University of Technology, Guangzhou 510006, China)

  • Yuxiang Hong

    (School of Management, Hangzhou Dianzi University, Hangzhou 310018, China)

Abstract

Green residence is the future of urban development, it is also an attempt to implement the green business model in the residential business field. The key to the success of a green business model is that a wide range of customers can accept its green value proposition and react to it through their purchase decisions. This study aims to develop a theory of a planned behavior (TPB) research model to predict individuals’ intention to purchase green residence. This study took steel structure residence as an example, which was widely recognized as one emerging type of green residence. The samples were selected in Baotou city of Inner Mongolia, P.R. China. Data analysis was performed using the structural equation modeling (SEM) with data obtained from a survey of 208 respondents using SPSS19.0 and AMOS17.0. The results found that the individuals’ intention to purchase green residence was significantly affected by attitude, subjective norm, and perceived behavioral control. Moreover, the empirical evidence showed that these influences differed between different gender groups. Specifically, women responders had a stronger effect on the path attitude impact on purchase intention than men. These findings can provide implications for practicing the green business model of real estate enterprise.

Suggested Citation

  • Chao Wu & Shuling Liang & Weijiong Wu & Yuxiang Hong, 2021. "Practicing Green Residence Business Model Based on TPB Perspective," Sustainability, MDPI, vol. 13(13), pages 1-11, July.
  • Handle: RePEc:gam:jsusta:v:13:y:2021:i:13:p:7379-:d:586743
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/13/13/7379/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/13/13/7379/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Ajzen, Icek, 1991. "The theory of planned behavior," Organizational Behavior and Human Decision Processes, Elsevier, vol. 50(2), pages 179-211, December.
    2. Kamonthip Maichum & Surakiat Parichatnon & Ke-Chung Peng, 2016. "Application of the Extended Theory of Planned Behavior Model to Investigate Purchase Intention of Green Products among Thai Consumers," Sustainability, MDPI, vol. 8(10), pages 1-20, October.
    3. Cheolho Yoon, 2011. "Theory of Planned Behavior and Ethics Theory in Digital Piracy: An Integrated Model," Journal of Business Ethics, Springer, vol. 100(3), pages 405-417, May.
    4. Lin Zhang & Liwen Chen & Zezhou Wu & Sizhen Zhang & Huanbin Song, 2018. "Investigating Young Consumers’ Purchasing Intention of Green Housing in China," Sustainability, MDPI, vol. 10(4), pages 1-15, April.
    5. Valentyna Melnyk & Stijn Osselaer, 2012. "Make me special: Gender differences in consumers’ responses to loyalty programs," Marketing Letters, Springer, vol. 23(3), pages 545-559, September.
    6. Viswanath Venkatesh & Fred D. Davis, 2000. "A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies," Management Science, INFORMS, vol. 46(2), pages 186-204, February.
    7. Shirley Taylor & Peter A. Todd, 1995. "Understanding Information Technology Usage: A Test of Competing Models," Information Systems Research, INFORMS, vol. 6(2), pages 144-176, June.
    8. Paul, Justin & Modi, Ashwin & Patel, Jayesh, 2016. "Predicting green product consumption using theory of planned behavior and reasoned action," Journal of Retailing and Consumer Services, Elsevier, vol. 29(C), pages 123-134.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Hanyue Li & Runqing Zhang, 2023. "How Does Perceived Value Affect Cooperative Initiatives in Agricultural Organizations: Evidence from 247 Agri-Industrialized Unions," Sustainability, MDPI, vol. 15(8), pages 1-21, April.
    2. Heather Markham Kim & In-Hye Lee & Kyuhyeon Joo & JungHoon (Jay) Lee & Jinsoo Hwang, 2022. "Psychological Benefits of Purchasing Home Meal Replacement in the Context of Eco-Friendly TV Home Shopping Broadcast: The Moderating Role of Personal Norm," IJERPH, MDPI, vol. 19(13), pages 1-17, June.
    3. Zhang, Xiaoyun & Dong, Feng, 2023. "What affects residents’ behavioral intentions to ban gasoline vehicles? Evidence from an emerging economy," Energy, Elsevier, vol. 263(PB).
    4. Paula Andrea Rodríguez-Correa & Sebastián Franco-Castaño & Jonathan Bermúdez-Hernández & Alejandro Valencia-Arias & José Manuel Barandiarán-Gamarra, 2023. "Attitudinal Factors Associated with the Use of Bicycles and Electric Scooters," Sustainability, MDPI, vol. 15(10), pages 1-16, May.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Hsiao-Ping Chang & Chun-Chieh Ma & Han-Shen Chen, 2019. "Climate Change and Consumer’s Attitude toward Insect Food," IJERPH, MDPI, vol. 16(9), pages 1-17, May.
    2. Shengqin Zheng & Ye Cheng & Yingjie Ju, 2019. "Understanding the Intention and Behavior of Renting Houses among the Young Generation: Evidence from Jinan, China," Sustainability, MDPI, vol. 11(6), pages 1-18, March.
    3. Edwin Chukwuemeka Idoko & Chukwunonso Oraedu & Christian Chidera Ugwuanyi & Stephen Ikechukwu Ukenna, 2021. "Determinants of Smart Meter on Sustainable Energy Consumption Behavior: A Developing Country Perspective," SAGE Open, , vol. 11(3), pages 21582440211, July.
    4. Paul Juinn Bing Tan, 2013. "Applying the UTAUT to Understand Factors Affecting the Use of English E-Learning Websites in Taiwan," SAGE Open, , vol. 3(4), pages 21582440135, October.
    5. Wei Zheng & Hongliang Qiu & Alastair M. Morrison, 2023. "Applying a Combination of SEM and fsQCA to Predict Tourist Resource-Saving Behavioral Intentions in Rural Tourism: An Extension of the Theory of Planned Behavior," IJERPH, MDPI, vol. 20(2), pages 1-23, January.
    6. Garima Malik & A. Sajeevan Rao, 2019. "Extended expectation-confirmation model to predict continued usage of ODR/ride hailing apps: role of perceived value and self-efficacy," Information Technology & Tourism, Springer, vol. 21(4), pages 461-482, December.
    7. Alfiero, Simona & Battisti, Enrico & Ηadjielias, Elias, 2022. "Black box technology, usage-based insurance, and prediction of purchase behavior: Evidence from the auto insurance sector," Technological Forecasting and Social Change, Elsevier, vol. 183(C).
    8. Cowan, Kelly R. & Daim, Tugrul U., 2011. "Review of technology acquisition and adoption research in the energy sector," Technology in Society, Elsevier, vol. 33(3), pages 183-199.
    9. Chia-Chien Hsu & Brian Sandford & Chia-Ju Ling & Ching-Torng Lin, 2021. "Can the Unified Theory of Acceptance and Use of Technology (UTAUT) Help Explain Subjective Well-Being in Senior Citizens due to Gateball Participation?," IJERPH, MDPI, vol. 18(17), pages 1-15, August.
    10. Sanjeev Verma, 2015. "Harnessing the Benefit of Social Networking Sites for Intentional Social Action: Determinants and Challenges," Vision, , vol. 19(2), pages 104-111, June.
    11. Muhammad Ali & Syed Ali Raza & Chin-Hong Puah & Mohd Zaini Abd Karim, 2017. "Islamic home financing in Pakistan: a SEM-based approach using modified TPB model," Housing Studies, Taylor & Francis Journals, vol. 32(8), pages 1156-1177, November.
    12. Yiming Shao & Zhugen Wang & Zhiwei Zhou & Haojing Chen & Yuanlong Cui & Zhenghuan Zhou, 2022. "Determinants Affecting Public Intention to Use Micro-Vertical Farming: A Survey Investigation," Sustainability, MDPI, vol. 14(15), pages 1-26, July.
    13. Zhaohua Wang & Xiaoyang Dong, 2016. "Determinants and policy implications of residents’ new energy vehicle purchases: the evidence from China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 82(1), pages 155-173, May.
    14. Al-Qeisi, Kholoud & Dennis, Charles & Alamanos, Eleftherios & Jayawardhena, Chanaka, 2014. "Website design quality and usage behavior: Unified Theory of Acceptance and Use of Technology," Journal of Business Research, Elsevier, vol. 67(11), pages 2282-2290.
    15. Chua Chang Jin & Lim Chee Seong & Aye Aye Khin, 2019. "Factors Affecting the Consumer Acceptance towards Fintech Products and Services in Malaysia," International Journal of Asian Social Science, Asian Economic and Social Society, vol. 9(1), pages 59-65, January.
    16. Yang, Byunghwa & Kim, Youngchan & Yoo, Changjo, 2013. "The integrated mobile advertising model: The effects of technology- and emotion-based evaluations," Journal of Business Research, Elsevier, vol. 66(9), pages 1345-1352.
    17. Guych Nuryyev & Yu-Ping Wang & Jennet Achyldurdyyeva & Bih-Shiaw Jaw & Yi-Shien Yeh & Hsien-Tang Lin & Li-Fan Wu, 2020. "Blockchain Technology Adoption Behavior and Sustainability of the Business in Tourism and Hospitality SMEs: An Empirical Study," Sustainability, MDPI, vol. 12(3), pages 1-21, February.
    18. Viswanath Venkatesh, 2000. "Determinants of Perceived Ease of Use: Integrating Control, Intrinsic Motivation, and Emotion into the Technology Acceptance Model," Information Systems Research, INFORMS, vol. 11(4), pages 342-365, December.
    19. Chung-Te Ting & Chi-Ming Hsieh & Hsiao-Ping Chang & Han-Shen Chen, 2019. "Environmental Consciousness and Green Customer Behavior: The Moderating Roles of Incentive Mechanisms," Sustainability, MDPI, vol. 11(3), pages 1-16, February.
    20. Hossain, Akram & Quaresma, Rui & Rahman, Habibur, 2019. "Investigating factors influencing the physicians’ adoption of electronic health record (EHR) in healthcare system of Bangladesh: An empirical study," International Journal of Information Management, Elsevier, vol. 44(C), pages 76-87.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:13:y:2021:i:13:p:7379-:d:586743. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.