scholarly journals CONSUMER’S PERCEPTION TOWARDS NEUROMARKETING IN INDIA WITH SPECIAL REFERENCE TO KANO MODEL

2017 ◽  
Vol 5 (4) ◽  
pp. 135-142
Author(s):  
Harit Kumar ◽  
Neha Mathur ◽  
Sangeeta Jauhari

This paper presents how consumer’s perception towards neuromarketing can be analyzed by using Kano model and discusses the potential benefits that can be achieved by applying this approach to skis the application of neuromarketing. Neuromarketing investigates important information that commonly consumer purchase decisions take place at a mental, emotional and instinctive level; those take place in the subconscious brain that is under the levels of controlled awareness. Due to this striking motive, the perception technologists of the market are extremely keen to study the techniques of successful handling of the subconscious brain actions. The major reason is to encourage the preferred response in person’s perception as intensely as possible. This article with the application of Kano Model examines the impact of application of neuroscience techniques on marketing practices as these communicate to the exercise of individual free will. This study centers to investigate the consumer’s perception towards neuromarketing by Kano questionnaire; includes questions involving consumers’ awareness, consent, and understanding to what may be viewed as foray of their privacy rights.

2019 ◽  
Vol 118 (6) ◽  
pp. 100-102
Author(s):  
D.David Winster Praveenraj ◽  
A. Prasanth

Usually, in a process of purchasing products at Amazon.in, several steps are required to purchase the products where the consumer begins to navigate through the advertisements, internet and word of mouth, then search the products on search bar to purchase the products. In general, the process requires the customer to be seated before beginning. This study aims to discuss the consumer's perception of online products purchasing and delivery services in Karur. The survey was conducted among 100 respondents who were selected based on purposive sampling. The research focuses on the study and analysis of data collected from all those users who already use online delivery services.


2021 ◽  
Vol 13 (10) ◽  
pp. 5359
Author(s):  
Afrika Onguko Okello ◽  
Jonathan Makau Nzuma ◽  
David Jakinda Otieno ◽  
Michael Kidoido ◽  
Chrysantus Mbi Tanga

The utilization of insect-based feeds (IBF) as an alternative protein source is increasingly gaining momentum worldwide owing to recent concerns over the impact of food systems on the environment. However, its large-scale adoption will depend on farmers’ acceptance of its key qualities. This study evaluates farmer’s perceptions of commercial IBF products and assesses the factors that would influence its adoption. It employs principal component analysis (PCA) to develop perception indices that are subsequently used in multiple regression analysis of survey data collected from a sample of 310 farmers. Over 90% of the farmers were ready and willing to use IBF. The PCA identified feed performance, social acceptability of the use of insects in feed formulation, feed versatility and marketability of livestock products reared on IBF as the key attributes that would inform farmers’ purchase decisions. Awareness of IBF attributes, group membership, off-farm income, wealth status and education significantly influenced farmers’ perceptions of IBF. Interventions such as experimental demonstrations that increase farmers’ technical knowledge on the productivity of livestock fed on IBF are crucial to reducing farmers’ uncertainties towards acceptability of IBF. Public partnerships with resource-endowed farmers and farmer groups are recommended to improve knowledge sharing on IBF.


Author(s):  
Scott J. Moura ◽  
Hosam K. Fathy ◽  
Duncan S. Callaway ◽  
Jeffrey L. Stein

This paper examines the problem of optimally splitting driver power demand among the different actuators (i.e., the engine and electric machines) in a plug-in hybrid electric vehicle (PHEV). Existing studies focus mostly on optimizing PHEV power management for fuel economy, subject to charge sustenance constraints, over individual drive cycles. This paper adds three original contributions to this literature. First, it uses stochastic dynamic programming to optimize PHEV power management over a distribution of drive cycles, rather than a single cycle. Second, it explicitly trades off fuel and electricity usage in a PHEV, thereby systematically exploring the potential benefits of controlled charge depletion over aggressive charge depletion followed by charge sustenance. Finally, it examines the impact of variations in relative fuel-to-electricity pricing on optimal PHEV power management. The paper focuses on a single-mode powersplit PHEV configuration for mid-size sedans, but its approach is extendible to other configurations and sizes as well.


2021 ◽  
Author(s):  
Kathryn R. Wentzel

In this article, I comment on the potential benefits and limitations of open science reforms for improving the transparency and accountability of research, and enhancing the credibility of research findings within communities of policy and practice. Specifically, I discuss the role of replication and reproducibility of research in promoting better quality studies, the identification of generalizable principles, and relevance for practitioners and policymakers. Second, I suggest that greater attention to theory might contribute to the impact of open science practices, and discuss ways in which theory has implications for sampling, measurement and research design. Ambiguities concerning the aims of preregistration and registered reports also are highlighted. In conclusion, I discuss structural roadblocks to open science reform and reflect on the relevance of these reforms for educational psychology.


2018 ◽  
Vol 83 (1) ◽  
pp. 24-50 ◽  
Author(s):  
Maren Becker ◽  
Nico Wiegand ◽  
Werner J. Reinartz

Marketing managers and creatives alike believe that authenticity is an essential element for effective advertising. However, no common understanding of authenticity in advertising exists, and empirical knowledge about its impact on consumer behavior is limited. In this study, the authors use a comprehensive literature review and qualitative studies to identify four dimensions of authenticity in an advertising context. By examining 323 television ads across 67 brands and four years, they investigate these dimensions’ effects on the sales performance of advertised products. Because the impact of authenticity may depend on brand or product characteristics, the authors also analyze how these effects vary with brand size or across hedonic and utilitarian products. The results suggest that authenticity influences consumer behavior in a more nuanced manner than previously recognized. For instance, whereas an ad congruent with the brand’s essence has a positive effect on sales in most cases, an overly honest advertising message can actually hurt performance; the latter is true especially for hedonic products, for which consumers rely more on subjective information when making purchase decisions.


Author(s):  
Marianne Stål

The prevalence of and the impact of selected factors on self-reported musculoskeletal complaints in Swedish female milkers with special reference to symptoms in the upper extremities were investigated using on data from mail-in surveys. An agricultural study group was formed of three subgroups: 161 active milkers, 108 non-milkers and 62 ex-milkers, women who had been milkers earlier but were no longer doing that kind of work. In the course of the analysis these subgroups were compared with each other and also, separately or in combinations, with a non-agricultural population consisting of 166 nursing assistants. Problems in the upper extremities were significantly more common in the agricultural group than in the non-agricultural group. Milkers had a higher risk of developing symptoms in the wrists and hands than non-milking women. Symptoms like numbness, coldness in the wrists and white fingers were more common in all agricultural subgroups than in the non-agricultural group. Numbness and white fingers were related to vibration exposure in the ex-milking and the non-milking groups but not in the milking group. Psychosocial factors such as occupational well being were not related to the occurrence of symptoms. Milking in modernised barn gave fewer problems in the elbows than milking in a traditional barn. Milkers who had received ergonomic instruction on how to work in order to reduce muscle stress had fewer problems in the elbow region than those who had not.


2021 ◽  
Vol 4 ◽  
Author(s):  
Vibhushinie Bentotahewa ◽  
Chaminda Hewage ◽  
Jason Williams

The growing dependency on digital technologies is becoming a way of life, and at the same time, the collection of data using them for surveillance operations has raised concerns. Notably, some countries use digital surveillance technologies for tracking and monitoring individuals and populations to prevent the transmission of the new coronavirus. The technology has the capacity to contribute towards tackling the pandemic effectively, but the success also comes at the expense of privacy rights. The crucial point to make is regardless of who uses and which mechanism, in one way another will infringe personal privacy. Therefore, when considering the use of technologies to combat the pandemic, the focus should also be on the impact of facial recognition cameras, police surveillance drones, and other digital surveillance devices on the privacy rights of those under surveillance. The GDPR was established to ensure that information could be shared without causing any infringement on personal data and businesses; therefore, in generating Big Data, it is important to ensure that the information is securely collected, processed, transmitted, stored, and accessed in accordance with established rules. This paper focuses on Big Data challenges associated with surveillance methods used within the COVID-19 parameters. The aim of this research is to propose practical solutions to Big Data challenges associated with COVID-19 pandemic surveillance approaches. To that end, the researcher will identify the surveillance measures being used by countries in different regions, the sensitivity of generated data, and the issues associated with the collection of large volumes of data and finally propose feasible solutions to protect the privacy rights of the people, during the post-COVID-19 era.


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