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The purpose of this study is to develop a conceptual model to examine the effect of word-of-mouth in the retailing of Chinese consumer electronics in the US. This study aims to show that word-of-mouth affects directly or indirectly consumer trust-loyalty link for Chinese consumer electronics.

A research framework was designed to test the direct and indirect relationships with structural equation modelling regarding how word-of-mouth affects consumer trust and loyalty for Chinese consumer electronics in the US consumers.

The results indicate that word-of-mouth increases consumer trust directly whereas decreases consumer trust through two types of consciousness (i.e. health and price consciousness), resulting in loyalty. The results also show that ethnocentrism moderates the effect of word-of-mouth. For those with low ethnocentrism, the effect of word-of-mouth on trust exists only in the direct route.

The result suggests that retail managers need to carefully consider the positive and negative influences of word-of-mouth to build consumer trust and loyalty when promoting Chinese consumer electronics. Further cross-cultural research should be explored to generalize the moderating influence of ethnocentrism on the relationship between word-of-mouth and trust-loyalty link.

This study contributes to a better and wider understanding of consumer loyalty regarding Chinese consumer electronics by investigating the effect of word-of-mouth and the differential mediating role of multidimensional consumer consciousness with ethnocentrism.

This study aims to explore the determinants of green electronics purchase intention in Malaysia by extending existing knowledge on green consumer behavior and contributing to the field of sustainable consumption.

A quantitative research approach was adopted, with data collected from 250 Malaysian consumers. The proposed model was tested using partial least squares structural equation modeling to assess the relationships between various determinants and green purchase intention.

The results demonstrate that perceived consumer effectiveness, green advertising and monetary cost positively affect environmental attitudes, which subsequently influence green purchase intention. The study also identifies that brand image and information quality significantly enhance green brand trust (GBT), leading to stronger intentions to engage in green purchasing. Additionally, it finds that environmental knowledge and environmental concern shape perceived behavioral control, which further impacts green purchasing intention.

The study focuses on Malaysian consumers, which may limit the generalizability of the findings to other cultural contexts. Future research could expand the scope to include cross-cultural comparisons to validate the model in different settings.

By providing insights into the key factors driving consumers’ intention to purchase green electronics, the study offers valuable guidance for marketers and manufacturers to develop targeted strategies that promote sustainable consumption and capitalize on the growing demand for green products in Malaysia.

This study is unique in measuring the influence of green attitude, GBT and perceived behavioral control on green purchase intention specifically within the electronics sector, offering a novel contribution to the literature on sustainable consumer behavior.

Suggests that the restructuring of the European‐owned consumer electronics industry, and the relocation of manufacturing plants within Europe, will inevitably affect the distribution of their products. Considers that the centralization of production capacity, and a move away from country‐by‐country operations, will require major adjustments to transport systems and that incomers may also need to establish new systems of delivery from their new manufacturing points. Examines the current logistics practices and future expectations of major consumer electronics manufacturers operating in Europe, in the context of intense competitive rivalry and changing market structures, using empirical data gathered from companies operating in France, the United Kingdom and West Germany. While there are national differences, the results indicate growing involvement of multiple retailers in the distribution of consumer electronic products, further contracting out of manufacturers′ logistical operations, and growing demands on all logistics systems as order lead‐times continue to shorten.

This paper summarises recent developments in Taiwan’s electronics industry, with a focus on the three major sectors of the industry:computers (information electronics), communications, and consumer electronics. Current major business practices and prospects of each industrial sector are discussed. The paper concludes with an assessment of the future development possibilities of Taiwan's electronics industry.

Provides a perspective on the utilization of the Internet in the consumer electronics market. A preliminary examination of this market‐based on observation of existing Web sites and secondary research – was conducted to provide a springboard for insights regarding consumer use of the Internet and Web page design. Generalizations regarding the consumer electronics market may be useful in applications to other industries.

This paper aims to propose a method for forecasting product returns based on reason codes. The methodology uses two approaches, namely central tendency approach and extreme point approach, and is developed for the consumer electronics industry.

The methodology presented here is based on the return reason codes (RC). The incoming returns are split into different categories using reason codes. These reason codes are further analyzed to forecast returns. The computation part of this model uses a combination of two approaches, namely extreme point approach and central tendency approach. Both the approaches are used separately for separate types of reason codes and then results are added together. The extreme point approach is based on data envelopment analysis (DEA) as a first step combined with a linear regression while central tendency approach uses a moving average. For certain type of returns, DEA evaluates relative ranks of products using single input and multiple outputs. Once this is completed, linear regression defines a correlation between relative rank (predictor variable) and return quantity (response variable). For the remaining type of returns the authors use a moving average of percent returns to estimate the central tendency.

Reason codes and consumer behavior in combination with statistical methods can be used to forecast product returns.

Consumer electronics retailers and manufacturers can effectively use this methodology to forecast product returns. This methodology effectively addresses and covers different product return scenarios.

This research paper shows the new way of forecasting product returns i.e. reason codes based forecasting by combining two approaches, namely extreme point approach and central tendency approach. Also, it shows a new way of translating the consumer behavior into meaningful data; that data can be fed to a model to forecast product returns.

The purpose of this paper is to examine an alternate halo model across the context of South Korea, China and India, and provide expanded interrelationships among their major brands’ brand images, country images, general product images and category-specific images (electronics and fashion handbags).

The proposed hypotheses in the alternate halo model were tested through a quantitative (survey) approach.

The results of analyzing 305 American consumers’ responses suggest theoretical and marketing implications for Asian countries in utilizing brand image effect and cross-category halo effects in marketing products in the global market.

The study proposes an alternate country image model that can be applied to the context of Asian countries with relatively immature country image, which is expanded from the traditional models in literature.

This research investigation aims to explore the factors that affect purchasing behaviour among consumers in India in the context of green electronic products with the aid of the extended theory of planned behaviour (TPB) by incorporating two additional constructs, namely environmental concern and ethical obligation.

The current research adopted a quantitative methodology, utilising a survey (questionnaire) to gather data from respondents residing in Delhi-NCR, India. A convenience sampling technique was used to select these respondents. Both online and offline modes were used to collect the data. Moreover, to evaluate the theoretical foundation of the investigation, the researchers employed PLS-SEM (partial least square structural equation modelling) on 346 useable samples.

The outcome reveals that attitude, subjective norm and perceived behaviour control (PBC) are significant predictors, supplementary constructs such as environmental concern are not significant predictors, whereas ethical obligation is a substantial predictor of purchase intention. Consumer purchase behaviour, in turn, is influenced by consumer purchase intention.

The outcome of this research could help the country’s legislators formulate policies and programs related to current environmental problems faced by our planet. Marketers could understand the factors that drive consumers' purchasing behaviour towards green electronic products and design effective marketing strategies accordingly. Thus, by enhancing the company’s green image, marketers of green products may potentially increase future purchases, all of which contribute to solving worldwide environmental problems.

This research confirms the usefulness of TPB in understanding Indian consumers' purchasing intention and behaviour towards green electronic products. It further extends the TPB by showing that new components, environmental concerns and ethical obligations influence Indian consumers' purchasing intentions and behaviour. Moreover, prior studies mostly used both additional constructs for green products. Current research used specific types of green products, i.e. green electronic products, as very few studies are available on these products that apply TPB, which makes this study novel. In contrast to previous research that primarily examined purchase intention, this study takes a further step by investigating the connection between intentions and consumers' purchase behaviour. It establishes intention as a precursor to behaviour, specifically towards green electronic products. Additionally, this study introduces new constructs and explores the Indian context, significantly contributing to the existing literature.

The consumption patterns of humanity are putting an enormous burden on the resources, which are beyond the fulfiling capacity of the earth. These consumption patterns need to be made sustainable. Therefore, this study aims to focus on identifying the key enablers driving the sustainable consumer behaviour.

Based on the literature review of 107 studies (1995 to 2018), which were published over a period of 23 years, fourteen key enablers of sustainable consumer behaviour were identified. These 14 enablers were validated with the help of empirical research done by surveying 200 consumers of electronic products. This was followed by the application of interpretive structural modelling (ISM) technique, to get an insight into how these enablers are influencing sustainable consumer behaviour.

ISM technique and empirical research aided in classifying the enablers based on their driving and dependence power. A further analysis was done to know about the contextual relationship between all 14 enablers and how these enablers are influencing each other and sustainable consumer behaviour. Attitude, subjective norm and perceived controlled behaviour were found dependent variables while education, government policy and advertisement emerged as an autonomous variable.

This study will be helpful for future research in the field of sustainable consumer behaviour. Through understanding of the enablers of sustainable consumer behaviour, a scale can be developed having significant theoretical and managerial implications. This study may help in improving the sustainability initiatives by various stakeholders involved in the process of purchase, usage and dispose of electronic products.

This study is the first temporal and spatial study, which includes a holistic view of the enablers of sustainable consumer behaviour.

Micromax is an Indian consumer electronics company which began by selling mobile phones. In early 2014, Micromax ranked third in the mobile handsets category in India, behind Nokia and Samsung. The case is set in 2014, a watershed year for Micromax. It has to make decisions related to the future direction of the company. There are various options available, such as expanding into other consumer electronics and consumer durables categories, expanding outside India, etc. Micromax had recently introduced premium smartphones, and there had been a gradual shift in its target segment from rural to more upmarket consumers. Micromax aspired to be considered among the best brands in the world; however, the company was unsure of how to move forward. Its leadership had to decide on the right positioning for Micromax.