• Asian Journal of Innovation and Policy
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• v.8 no.1
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• pp.162-179
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• 2019

Purpose: Companies in haste for higher consumers' preference tend to appear as 'green' and mislead about environmental concerns, which are termed as "Greenwashing." The purpose of the study is to investigate the consumer perception on greenwashing activities and analyze its impact on green brand image, green brand loyalty and green brand trust among Indian consumers. Design/methodology: The study makes use of a written questionnaire method to collect survey data from approximately 500 consumers all over India. The study uses Structural Equation Modeling (SEM) to study the hypothesized relationship between constructs affected by greenwashing based on consumer perspective in the Indian context. Findings: The study shows that Indian consumers are becoming aware of greenwashing activities, which have a negative impact on green brand trust and undermines green brand image and green brand loyalty. Implications: The study results are beneficial to policy-makers, researchers, practitioners, and managers to create awareness among Indian consumers on greenwashing activities.

• Journal of Global Scholars of Marketing Science
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• v.17 no.2
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• pp.75-97
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• 2007

Less than 3% of India's food basket, consists of processed food, therefore processed food can be viewed as an innovation or new product to Indian consumers. This research investigates the effects of product familiarity and reference groups on Indian consumers' attitudes and purchase behavior of new processed food products. For the study, the model is developed by modifying Cambel and Goodstein's (2001) "Moderate Incongruity Effect" to include important cross-cultural influences on attitudes and purchase decisions among Indian consumers. Empirical analysis was conducted through structural equation modeling (SEM). SEM results indicated that reference group influence has a stronger positive effect on consumers' attitudes and actual purchase behavior of more familiar processed foods than of less familiar processed food. In addition, attitudes have a stronger positive effect on consumers' actual purchase of more familiar than of less familiar processed foods.

• Asian Journal of Business Environment
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• v.5 no.4
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• pp.37-46
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• 2015

Purpose - The present study examines interrelationships among antecedent factors defining consumer behavior in selecting online shopping websites. Research design, data, and methodology - The study identified factors from existing literature and used Interpretive Structural Modeling (ISM) to propose a conceptual approach to explain consumer website selection behavior. Through extensive discussions among industry and academia experts, qualitative assessment of the relationship between various factors was determined. Results - According to the model, eight congregating factors do not converge directly for website selection, rather, they operate following a hierarchy of influence. The ISM and MICMAC analysis reveal that information on a website and website aesthetics play key roles in influencing website selection. However, convenience and the value proposition also play very significant roles. Conclusions - The study's findings can help the e-commerce industry, especially online retailers. The findings can be used to enhance e-retailer ability to attract, communicate, engage, achieve, monitor, and evaluate web traffic and design appropriate strategies. The study's prime contribution is the application of Interpretative Structural Modeling (ISM) to the field of website selection.

• Asia-Pacific Journal of Business
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• v.4 no.1
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• pp.25-30
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• 2013

Today a consumer is confused and he looks only for values in relation to the prices spent by him/her in the buying process. He/She relates value in terms product pricing, brand value, his experiences etc. This therefore gives a vast scope for organized retailing that can make products available as per the aspirations of the consumer. For these organized retailers, Shopping Malls are acting as a catalyst and helping them to enhance their growth all over the country. They are providing them the required infrastructure and also helping them to achieve a faster growth. The present study is therefore done visualizing the opportunities available in the Indian market and the issues faced by the mushrooming of Malls in Indian metropolitan cities making their survival difficult due to cut-throat competition. This is also resulting in poor occupation and is not able to find neither the right rentals nor the footfalls.

• Industrial Engineering and Management Systems
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• v.14 no.2
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• pp.183-195
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• 2015

In this paper, we propose a two-stage group acceptance sampling plan for generalized inverted exponential distribution under truncated life test. Median life is considered as a quality parameter. Design parameters are obtained to ensure that true median life is longer than a given specified life at certain level of consumer's risk and producer's risk. We also explore situations under which design parameters based on median lifetime can be used for other percentile points. Tables and specific examples are reported to explain the proposed plans. Finally a real data set is analyzed to implement the plans in practical situations and some suggestions are given.

• Asia pacific journal of information systems
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• v.30 no.3
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• pp.532-546
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• 2020

The current study examined the Indian young consumer online shopping self-efficacy in an integrated model. Authors tested the study model (antecedents and consequences of online shopping involvement) with the help of 225 sample data by using first order structural equation modeling. Online shopping enjoyment was found most important predictor of online shopping involvement followed by online accessibility. Further, the impact of online shopping involvement on online shopping self-efficacy was quite high in comparison to online technical self-efficacy. We strongly recommend that the marketers must use internet strategically in establishing dialogue between seller and online shoppers.

• Journal of Power Electronics
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• v.10 no.4
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• pp.444-449
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• 2010

The generation of electric power using self excited induction generation (SEIG) is a viable option in remote and rural areas where grid electricity is not available. The generated voltage and frequency of these machines, however, varies with varying loads. This characteristic can be resolved either by adjusting the values of the excitation capacitance or by controlling the prime mover speed. Further, in a single-point constant power application, where the machines deliver a fixed amount of power, the electronic load controller (ELC) can be used to switch-in or switch-out a dump load whenever the consumer load decreases or increases respectively. This paper presents a detailed analysis and the design of a microcontroller based SEIG -ELC system intended for stand-alone pico hydro power generation. The simulated performance of the controller is supplemented by experimental results.

• Journal of Electrical Engineering and Technology
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• v.4 no.2
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• pp.211-218
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• 2009

This paper presents a voltage and frequency controller (VFC) for a 4-wire stand-alone wind energy conversion system (WECS) employing an asynchronous generator. The proposed VF con-troller consists of a three leg IGBT (Insulated Gate Bipolar Junction Transistor) based voltage source converter and a battery at its DC bus. The neutral terminal for the consumer loads is created using a T-connected transformer, which consists of only two single phase transformers. The control algorithm of the VF controller is developed for the bidirectional flow capability of the active power and reactive power control by which it controls the WECS voltage and frequency under different dynamic conditions, such as varying consumer loads and varying wind speeds. The WECS is modeled and simulated in MATLAB using Simulink and PSB toolboxes. Extensive results are presented to demonstrate the capability of the VF controller as a harmonic eliminator, a load balancer, a neutral current compensator as well as a voltage and frequency controller.

• The Korean Journal of Franchise Management
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• v.11 no.2
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• pp.17-22
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• 2020

Purpose: As consumers have difficulty in brand choice due to excessive information, using brand popularity as an advertising cue (e.g., Sales No. 1, Hit Product) has been getting more attention as an effective curation strategy for decreasing consumers' cognitive efforts. Accordingly, recent studies empirically demonstrate that consumers tend to prefer and choose a brand with a popularity cue and offer a useful information regarding how to use a popularity cue in marketing communication. However, extant research has mainly focused on investigating the impact of "brand popularity in a domestic market" on consumer behaviors. Thus, little is known about the effect of "brand popularity in a foreign market" on local consumers' decision-making process. Given that domestic consumers tend to purchase imported products from overseas countries, it can be meaningful information for global companies. Therefore, this research derives and tests the five hypotheses to examine how local consumers respond to brand popularity in a foreign market as an advertising cue. Specifically, it tests the three hypotheses regarding the direct and indirect effects of brand popularity in a foreign market on risk perception and purchase intention. Then, it tests two additional hypotheses about moderating effects of psychic distance on the relationship between brand popularity and risk perception as well as on the relationship between brand popularity and purchase intention. Seventy participants are exposed to an advertisement for an Indian cosmetic brand using a popularity cue in Indian market and answer the questions about brand evaluation. For data analysis, regression analysis is employed. The findings of this research show that perceived brand popularity lowers local consumers' perceived risk with a foreign brand. However, perceived brand popularity does not have a direct impact on purchase intention while it has an indirect effect through perceived risk. Meanwhile, psychic distance moderates the effect of perceived brand popularity on perceived risk level, but it has no impact on the relationship between brand popularity and purchase intention. This research is one of the first studies that demonstrate the positive impact of brand popularity in a foreign market on a local consumer's purchase decision, and it shows the effect can be moderated by psychic distance.

• The Journal of Asian Finance, Economics and Business
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• v.2 no.3
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• pp.5-15
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• 2015

This research paper has been attempted to inventory the atmospheric factors, contributing to better sales. Exploratory study was undertaken to identify various signs of store atmospherics variables that influence the buying behaviour of buyers. Thirty-four variables identified from this study were used to create a structured questionnaire. This questionnaire was then administered among shoppers in NCR Delhi using non-probability convenience sampling. To determine the atmospheric factors, Principal Component Analysis (PCA) along with Varimax Rotation was attempted. Using principal component factor analysis on the data collected, nine factors were identified to have impact on the store atmospheric. These were Querulous, Music, Sensitive, Budget Seeker, Sensuous, Light, Idler, Space seeker and Comfort Seeker. Contrary to the various earlier studies where music, space seeker and comfort seeker were considered to be most significant factors, light and querulous have emerged out to be the major factor that influences the store atmospheric. This study shows that customers are sensitive, space seekers and sensuous. Constituents of these factors reveal distinct patterns. This research may be used as guidelines for development and management of shopping malls in emerging countries. Retail marketers in India can take this cue in designing their strategies to attract consumers.