VALIDATING THE MEASURES AND ASSESSING THE DIMENSIONS OF PURCHASE BEHAVIOR IN APARTMENT SCENARIO IN INDIAN PERSPECTIVE
DOI:
https://doi.org/10.29121/shodhkosh.v4.i2.2023.2294Keywords:
Apartment Purchase, Customer Work Behavior, Builder Technology Usage, Value Proposition, Construct Validity, CFAAbstract [English]
As the data and technology-based interference in real estate decision making is increasing, the customer work behavior and builder technology usage is seemingly shaping value propositions in more than one way. While recent research has begun to take technology imprint as seriously yet very few studies have sought to validate the measures and assess the dimensions of purchase behavior in apartment scenario in Indian perspective. This research begins to address the instrument’s construct validity by arriving at a single instrument with confirmatory factor analysis and proposes broad dimensions that fit the set of data effectively. Results have practical implications for real estate marketers but also conceptual implications pertaining to application of these benchmarks in industrial perspective.
References
Akaike, H. (1974). A new look at the statistical model identification. IEEE Transactions on Automatic Control, 19(6), 716-23. DOI: https://doi.org/10.1109/TAC.1974.1100705
Ali, T. H., & Ullah, F. (2019). Real Estate Stakeholders Technology Acceptance Model (RESTAM): User-focused Big9 Disruptive Technologies for Smart Real Estate Management. International Conference on Sustainable Development in Civil Engineering, 2-4.
Antretter, T., Blohm, I., Siren, C., Grichnik, D., & Malmstrom, M. (2020). Do algorithms make better and fairer investments than angel investors? Harvard Business Review, 3-5.
Bagozzi, R. P., & Yi, Y. (1988). On the evaluation of structural equation models. Journal of the Academy of Marketing Science, 16(1), 74-94. DOI: https://doi.org/10.1177/009207038801600107
Bahr, K., & Fliaster, A. (2022). The twofold transition: Framing digital innovations and incumbent's value propositions for sustainability. Business Strategy and Environment, 920-21. DOI: https://doi.org/10.1002/bse.3082
Baumgartner, H., & Homburg, C. (1996). Applications of structural equation modeling in marketing and consumer research: A review. International Journal of Research in Marketing, 13(1), 139-161. DOI: https://doi.org/10.1016/0167-8116(95)00038-0
Baur, K., Rosenfelder, M., & Lutz, B. (2023). Automated real estate valuation with machine learning models using property descriptions. Expert Systems with Application, 213(C), 3-4. DOI: https://doi.org/10.1016/j.eswa.2022.119147
Bielinski, & Tomczynska. (2015). Ethos of science and the marketized mentality of academics. National Information Processing.
Birmingham, P., & Wilkinson, D. (2003). Using Research Instruments. Routledge, 132-34. DOI: https://doi.org/10.4324/9780203422991
Budd, Pohler, & Huang. (2022). Making sens eof (Mis) matched frames of reference: A dynamic cognitive (In) Stability in HR practices. Industrial Relations, 61(3), 268-89. DOI: https://doi.org/10.1111/irel.12275
Cascio, W. F., & Montealegre, R. (2016). How technology is changing work and organizations? The Annual Review of Organizational Psychology and Organizational Behavior, 3(1), 349-51. DOI: https://doi.org/10.1146/annurev-orgpsych-041015-062352
DeVos, M. V., Volker, L., & Wamelink, H. (2016). Real estate development by architectural firms: is the business model future-proof? Proceedings of the 32nd Annual ARCOM Conference, 2.
Feng, Q., Wang, Y., & Chen, C. (2021). Effect of homebuyer comment on green housing purchase intention-mediation role of psychological distance. Frontiers in Psychology, 12(1), 2-4. DOI: https://doi.org/10.3389/fpsyg.2021.568451
Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39-50. DOI: https://doi.org/10.1177/002224378101800104
Furr, & Eggers. (2020). Behavioral Innovation and Corporate Renewal. INSEAD, 4-6.
Gingell, A. H., & Shahab, S. (2021). An Analysis of Self-Build and Custom Housebuilding in the South West of England. Urban Science, 5(1), 2. DOI: https://doi.org/10.3390/urbansci5010009
Gunther, W. A., Mehrizi, M. H., & Huysman, M. (2022). Resourcing with data: Unpacking the process of creating data-driven value propositions. Journal of Strategic Information Systems, 2-4. DOI: https://doi.org/10.1016/j.jsis.2022.101744
Hagan, T. L. (2014). Measurements in Quantitative Research:How to Select and Report on Research Instruments. Methods & Meanings: Oncology Nursing Forum, 41(4), 431-33. DOI: https://doi.org/10.1188/14.ONF.431-433
Lu, E. (2020). The transformation of consumer behaviors in the digital era. Forbes Small Business, 4-5.
Minerbo, C., Samartini, A. L., & Brito, L. A. (2023). Sharing the benefits: How different dimensions contribute to value creation and capture. Industrial Marketing Management, 108(1), 251-62. DOI: https://doi.org/10.1016/j.indmarman.2022.11.015
Mohammad, M. M., & Sulaiman, N. L. (2015). Measuring the Validity and Reliability of Research Instruments. Procedia - Social and Behavioral Sciences, 164-171. DOI: https://doi.org/10.1016/j.sbspro.2015.08.129
Niebuhr, & Borle. (2022). Healthy and happy working from home. International Journal of Environmental Research and Public Health, 19(1), 2-12. DOI: https://doi.org/10.3390/ijerph19031122
Northrop, R. B. (2017). Introduction to Instrumentation and Measurements. CRC Press, 106-08. DOI: https://doi.org/10.1201/9781315275239
Nystrom, A. G., & Kaartemo, V. (2021). Emerging technology as a platform for market shaping and innovation. Journal of Business Research, 458-67. DOI: https://doi.org/10.1016/j.jbusres.2020.10.062
Okechukwu, A. (2011). Instrumentation in Behavioural Research: A Practical Approach. 4-6.
Switzer, G. E., & Wisniewski, S. R. (1999). Selecting, developing, and evaluating research instruments. Social Psychiatry and Psychiatric Epidemiology , 39-41. DOI: https://doi.org/10.1007/s001270050161
Zohrabi, M. (2013). Mixed Method Research: Instruments, Validity,Reliability and Reporting Findings. Theory and Practice in Language Studies, 3(2), 254-262. DOI: https://doi.org/10.4304/tpls.3.2.254-262
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2023 Devyani Sharma, Dr. Sandeep Singh
This work is licensed under a Creative Commons Attribution 4.0 International License.
With the licence CC-BY, authors retain the copyright, allowing anyone to download, reuse, re-print, modify, distribute, and/or copy their contribution. The work must be properly attributed to its author.
It is not necessary to ask for further permission from the author or journal board.
This journal provides immediate open access to its content on the principle that making research freely available to the public supports a greater global exchange of knowledge.
