Abstract
In order to gain “loyalty”, a firm has to maintain “quality” that defines acceptability of its offerings. In the era of globalization, all industries face cutting-edge competition and it becomes difficult to survive for less qualitative products. This paper is an attempt to study attributes preferred by air freshener buyers. A multi-scaling technique, interpretive structural modeling (ISM), has been applied to understand and find the contextual relationship amongst the various attributes under study. Furthermore, MICMAC classification has been done to determine the autonomous, dependent, linkage and independent nature of the factors. Out of 14 attributes, only 5 comes out to be independent which are the deriving attributes for the rest of attributes. The findings can also help company policymakers with understanding the interrelated attributes associated with trustworthiness in the context of air freshener industry and implement them in effective strategic planning. This study has been carried out in one of the metropolitan cities of India and results obtained are significant.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Anand A, Singh O, Agarwal M, Aggarwal R (2014) Modeling adoption process based on awareness and motivation of consumers. In: Proceedings of 3rd international conference on reliability, infocom technologies and optimization, October 2014. IEEE, pp 1–6
Anand A, Bansal G (2017) Interpretive structural modeling for attributes of software quality. J Adv Manag Res 14(3):256–269
Attri R, Dev N, Sharma V (2013) Interpretive structural modelling (ISM) approach: an overview. Res J Manag Sci 2319:1171
Bag S (2016) Building theory of green procurement using fuzzy TISM and fuzzy DEMATEL methods. Int J Appl Manag Sci Eng (IJAMSE) 3(2):21–49
Bone PF, Ellen PS (1999) Scents in the marketplace: explaining a fraction of olfaction. J Retail 75(2):243–262
Caruana A (2002) Service loyalty: the effects of service quality and the mediating role of customer satisfaction. Eur J Mark 36(7/8):811–828. https://doi.org/10.1108/03090560210430818
Chebat JC, Michon R (2003) Impact of ambient odors on mall shoppers’ emotions, cognition, and spending: a test of competitive causal theories. J Bus Res 56(7):529–539
Craik KH (1973) Environmental psychology. Annu Rev Psychol 24:403–422
Garvin DA (1984) Product quality: an important strategic weapon. Bus Horiz 27(3):40–43
India Air Care Market Outlook, 2022. https://www.researchandmarkets.com/research/hqt3kk/india_air_care
Kannan G, Pokharel S, Kumar PS (2009) A hybrid approach using ISM and fuzzy TOPSIS for the selection of reverse logistics provider. Resour Conserv Recycl 54(1):28–36
Lamba K, Singh SP (2018) Modeling big data enablers for operations and supply chain management. Int J Logist Manag 29(2):629–658
Mishra S, Singh SP, Johansen J, Cheng Y, Farooq S (2018) Evaluating indicators for international manufacturing network under circular economy. Manag Decis
Pfohl HC, Gallus P, Thomas D (2011) Interpretive structural modeling of supply chain risks. Int J Phys Distrib Logist Manag 41(9):839–859
Raj T, Shankar R, Suhaib M (2008) An ISM approach for modeling the enablers of flexible manufacturing system: The case for India. Int J Prod Res 46. https://doi.org/10.1080/00207540701429926
Sachdeva N, Singh O, Kapur PK (2015) Modeling critical success factors for adoption of big data analytics project: an ISM-MICMAC based analysis. Commun Dependability Qual Manag 18(4):93–110
Thakkar J, Kanda A, Deshmukh SG (2008) Interpretive structural modeling (ISM) of IT-enablers for Indian manufacturing SMEs. Inf Manag Comput Secur 16(2):113–136
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Singapore Pte Ltd.
About this chapter
Cite this chapter
Aggrawal, D., Singh, J., Kumar, A., Anand, A. (2020). Interpretive Structural Modeling to Understand Factors Influencing Buying Behavior of Air Freshener. In: Shah, N., Mittal, M. (eds) Optimization and Inventory Management. Asset Analytics. Springer, Singapore. https://doi.org/10.1007/978-981-13-9698-4_24
Download citation
DOI: https://doi.org/10.1007/978-981-13-9698-4_24
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-13-9697-7
Online ISBN: 978-981-13-9698-4
eBook Packages: Business and ManagementBusiness and Management (R0)