Index of Paper Presentations for the Parallel Sessions - Academy of ...
Index of Paper Presentations for the Parallel Sessions - Academy of ...
Index of Paper Presentations for the Parallel Sessions - Academy of ...
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<strong>the</strong>ir services and goods. The five senses - see, hear, touch, smell and taste conjure powerful memories andemotions. Incorporating such sensory appeals, enhances <strong>the</strong> flavour <strong>of</strong> a product, <strong>the</strong>reby improving customerexperiences and optimistically guaranteeing repeat purchase. Thus, it can be noted that sensory branding providesample opportunities due to its nature <strong>of</strong> delivering multi-sensory brand experiences and promise to <strong>the</strong> consumer(Genuario, 2007).However, it‘s true that not all five senses can be leveraged in a brand, but each stimulus prominently holdsimportance and is important element <strong>of</strong> successful sensory branding campaigns. Out <strong>of</strong> <strong>the</strong> five sensory, sense <strong>of</strong>sound and sight seems to be greatly emphasised <strong>for</strong> its basic explicit appeals and effects. However, amongst o<strong>the</strong>rs,smell is also one <strong>of</strong> <strong>the</strong> popular ways to capitalize consumer attentions. According to Lindstrom (2005), smellinfluences 75% <strong>of</strong> all <strong>the</strong> emotions experienced by an individual in a day. The sense <strong>of</strong> smell acts directly on <strong>the</strong>limbic system which controls emotions and memories (Bell, 2007). Smell is <strong>the</strong> most powerful and advanced <strong>for</strong>m <strong>of</strong>human interaction and should be looked as a potential medium <strong>of</strong> communication.Literature Review:The effective use <strong>of</strong> smelling sense undoubtedly provides better opportunities <strong>for</strong> creating a sale and buildingmemorable and lasting relationships with <strong>the</strong> consumer (Portas, 2008).However, <strong>the</strong> relevance <strong>of</strong> smell must be studied within <strong>the</strong> context <strong>of</strong> <strong>the</strong> marketplace where it is important tounderstand <strong>the</strong> level <strong>of</strong> involvement that a consumer has in <strong>the</strong> purchase decision.Literature review also supported <strong>the</strong> judgement that measuring <strong>the</strong> level <strong>of</strong> Purchase Decision Involvement (PDI) isinstrumental in understanding <strong>the</strong> impact <strong>of</strong> smell on consumer Purchase Involvement (PI). This was establishedwith <strong>the</strong> help <strong>of</strong> <strong>the</strong> Elaboration Likelihood Model (Cacioppo, 1983). According to <strong>the</strong> Elaboration LikelihoodModel, <strong>the</strong>re are various processes <strong>of</strong> attitude <strong>for</strong>mation and <strong>the</strong>se can be classified into two main categories i.e., <strong>the</strong>Central Route and <strong>the</strong> Peripheral Route. The Central route involves those processes that entail cognitive resourcesand considerable ef<strong>for</strong>t whereas <strong>the</strong> Peripheral route involves <strong>the</strong> o<strong>the</strong>r processes where <strong>the</strong> individual is absorbed inthinking <strong>for</strong> a shorter period <strong>of</strong> time. According to Vaidyanathan and Aggarval (2001) when <strong>the</strong> level <strong>of</strong>involvement is high, <strong>the</strong>n <strong>the</strong> consumer takes <strong>the</strong> central processing route and uses data driven signals <strong>for</strong> <strong>the</strong>evaluation <strong>of</strong> <strong>the</strong> <strong>of</strong>fer. For example, <strong>the</strong> consumer would be more likely to consider price and o<strong>the</strong>r numerical data<strong>for</strong> assessing <strong>the</strong> product and <strong>the</strong> associated in<strong>for</strong>mation. However, low-involvement consumers consider <strong>the</strong>peripheral route and give more importance to <strong>the</strong> simple inferences and cues such as <strong>the</strong> type <strong>of</strong> brand ownership or<strong>the</strong> kind <strong>of</strong> non-price promotional <strong>of</strong>fers (Kristina Maiksteniene, 2008).H1: There is no linear relationship between consumer PDI and impact <strong>of</strong> smell on consumer PI.H2: There exists a negative linear relationship between consumer PDI and impact <strong>of</strong> smell on consumer PI.Research Methodology:The study is empirical in nature and uses survey method <strong>for</strong> data collection. The sample consisted <strong>of</strong> respondentsbetween ages <strong>of</strong> 18-30. All <strong>the</strong> respondents belonged to SEC A and A+. This segment <strong>of</strong> consumers was selected as<strong>the</strong>y are <strong>the</strong> most brand conscious individuals in India. Shampoo, was identified as an appropriate product categoryas it clearly qualifies as a ―functional product‖ i.e., a product where smell plays an implicit role.Initially data was collected through a pilot study with 25 respondents where <strong>the</strong> top ten parameters that consumerswere interested in while purchasing a shampoo were identified. In <strong>the</strong> second stage <strong>of</strong> <strong>the</strong> study, Mittal‘s (1995)modified PDI was selected and was adopted to measure <strong>the</strong> level <strong>of</strong> consumer PDI during <strong>the</strong> empirical study.Similarly, <strong>for</strong> measuring <strong>the</strong> impact <strong>of</strong> smell on PI, probabilistic scales were adapted and modified from pastresearch (Ajzen, I. (1985); Fishbein, M., Ajzen, I. (1975); Miniard, P. W., Obermiller, C., Page, T. J. (1982);Miniard, P. W., Obermiller, C., Page, T. J. (1983); Morwitz, V. G., Steckel, J., Gupta, A. (2007); Warshaw, P. R.(1980); Goldsmith et al., 2000). These two scales were used in <strong>the</strong> final questionnaire. A total <strong>of</strong> 200 respondentsparticipated in <strong>the</strong> study. The questionnaire were filled using stratified sampling technique (on <strong>the</strong> basis <strong>of</strong> age andgender) to reduce <strong>the</strong> biasness.The analysis included frequency tabulations and simple bivariate linear regression modelling.Results:There were ten parameters that emerged from <strong>the</strong> pilot study - packaging, colour <strong>of</strong> <strong>the</strong> shampoo, fragrance, price,brand, la<strong>the</strong>ring ability, conditioning, hair fall control, dandruff control, damage repair. The top three parameters that