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The study explores the evolution of Indian domestic electronics manufacturing post-economic reforms and also investigates the lack of natural growth stages among Indian start-up/SME electronics manufactures.

The theoretical framework is inspired by Dawar and Frost's survival strategy theory that local companies may follow to overcome competitive threats from MNCs. The study adopts a qualitative methodology, more precisely, a phenomenological approach to walking through policy/regulatory reforms amid market distortions, technological gaps and colonial mindset from the perspective of Indian domestic electronics manufacturers. The study has adopted Gioia method of data analysis to inductively suggest a few research propositions.

The phenomenological approach revealed eight essential structure (essence) narratives to explore the complex issue that plague the industry: make in India, made in India, preferential market access strategy, equitable market access strategy, blue ocean strategy, competitive positioning strategy, technical capability and importance of policy/regulatory arbitrage.

The situation of Indian electronics manufacturing units is comparable to the bonsai tree situation, where natural evolution in business stages does not exist; they are born and die as start-ups/MSMEs. The study advocates for equitable market access by removing market distortions. The long-term solution may lie in making available locally manufactured products as a dependable alternative to the imported products or produced locally by MNC OEMs in terms of cost, quality, technology, volume, after-sale service and integrated supply chain.

While the favorable FDI policies, digital India and make-in India initiatives have strengthened domestic electronics production, it is yet to significantly impact India's position in global trade, including manufacturing and exports.

This study aims to investigate the influences of two facets of Vietnamese consumers' cultural identities (i.e. global and national) on their intent to consume Korean lifestyle products and services via attitudes toward Korea. The difference between generations (Generation Z vs. X) is examined.

Data are collected through an online survey firm. The participants are Vietnamese consumers residing in Vietnam, varying in age from teens to those in their 50s (n = 500). The collected data are analyzed by SPSS 21.0 for the descriptive statistics, frequency analysis, and reliability analysis. AMOS 21.0 is employed for confirmatory factor analysis and structural equation modeling (SEM) analysis.

This study reveals that global identity affects Vietnamese consumers' attitudes toward Korea and their intent to consume Korean lifestyle products and services. Results show that only global identity affects attitudes and behavioral intention toward Korea among generation Xers, while national identity has no effect. For Generation Z (Gen Z), both global and national identities have a positive effect on attitudes toward Korea, which also increases the intent to consume Korean lifestyle products and services.

Measuring individuals' global and national identities will allow brands and retailers to better understand international consumers of various generations and develop global marketing strategies.

This study bridges gaps in the literature on globalized consumption in a non-Western context by identifying how consumers in emerging markets become involved in cross-cultural consumption.

The COVID-19 pandemic has caused significant disruptions to global supply chains (SCs), affecting the production, distribution, and transportation of goods and services. To mitigate these disruptions, it is essential to identify the barriers that have impeded the seamless operation of SCs. This study identifies these barriers and assesses their impact on supply chain network (SCN).

To determine the relative importance of different barriers and rank the affected industries, a hybrid approach was employed, combining the best-worst method (BWM) and the technique for order preference by similarity to an ideal solution (TOPSIS). To accommodate the inherent uncertainties associated with the pandemic, a triangular fuzzy TOPSIS was used to represent the linguistic variable ratings provided by decision-makers.

The study found that the airlines and hospitality industry was the most affected by the barriers, accounting for 46% of the total, followed by the healthcare industry (23%), the manufacturing industry (19%), and finally the consumer and retail industry (17%).

This study is limited to the four critical industries and nine identified barriers. Other industries and barriers may have different weights and rankings. Nevertheless, the findings offer valuable insights for decision-makers in SC management, aiding them in mitigating the impact of COVID-19 on their operations and enhancing their resilience against future disruptions.

This study enhances understanding of COVID-19’s impact on SCN and provides a framework for assessing disruptions using multi-criteria decision-making processes. The hybrid approach of BWM and TOPSIS in a fuzzy environment is unique and offers potential applicability in various evaluation contexts.

As an Internet fashion brand, HSTYLE has developed into an Internet enterprise with annual sales of 1.5 billion RMB within 10 years, establishing its position as the top industry performer in China. This case studies HSTYLES' innovation in business model and organizational management. HSTYLE's workgroups have achieved the balance of responsibilities and rights in a small team of three members at minimum, while mobilizing the enthusiasm and initiative of the line managers with the support of public service sector. At the same time, HSTYLE enriches its brand style, establishes a fashion cloud platform, and integrates individual and organizational consumers into its existing fashion design, manufacturing and sales system.

This paper analytically models and numerically investigates two operating levers, namely optimization of product price and optimization of product quality in the context of a manufacturer that sells the products directly in the marketplace. The study attempts to identify how optimizing product quality and product price can fulfill a manufacturer's economic aims such as maximization of the manufacturer's profit and market demand. Anchored to the extant literature, the demand is modeled as a parametric joint multiplicative function of price and quality. Further, price is modeled as a function of product quality.

First, the authors evolve the analytical expression for the manufacturer's profit. Thereafter, following the mathematical principles of unconstrained optimization, the authors arrive at the conditions for optimal product quality and product price. The authors further perform numerical experiments to understand the behavior of economic dimensions such as profit and demand with respect to sensitivities associated with cost, quality and price.

The authors find that under product quality optimization, the optimal product quality is a unique solution in that a highest possible theoretical manufacturer's profit is obtained. However, in the case of product price optimization, the optimal product price is non-unique and is a function of product quality. The authors further find that in the context of functional quality-level expectations, product quality optimization as an operating lever gives a better dividend. However, in the case of higher product quality expectations, product price optimization performs better than product quality optimization. Further, several novel findings are also obtained from numerical experimentations.

The findings of the authors' study have implications for types of industries characterized by relatively low as well as relatively high competitive intensity. Further, as opposed to several extant studies that have often carried out joint optimization of quality and price, the authors' study is one of the first to study the impact of product price and product quality on the manufacturer's economic objective in a disparate and focused manner, thus capturing individual effects.

This research studies femvertising social marketing impact on their perceived congruence and authenticity; and attitudes toward female role portrayal cross-gender.

This research used deductive quantitative research approach. Data were gathered during a sports event in Egypt made to support female empowerment; a local sports organization hosted 8K Women Race on February 26, 2022, applying a cross-sectional timeframe. The researcher approached both male and female segments with an administrated questionnaire to fill out through convenience sampling. Structural equation modeling path coefficient analysis was used to test the hypotheses.

The research shows femvertising perceived congruence is insignificant cross-gender; femvertising perceived authenticity is significant to female segment, not the male segment; femvertising impacts female portrayal among male segment and female segment.

The conclusions could be reference for stakeholders who have interest in women empowerment marketing strategies as brand activism; companies that look toward femvertising as effective tactic to enhance affirmative attitude and build an empowered female customer base. The results indicate that marketers can benefit from adapting a more mindful approach to the portrayal of females used in advertising.

The addition of a cross-gender perspective on femvertising (as brand activism) is a key contribution to this literature. This study adds knowledge on the how perceived congruence and authenticity of the advertising can impact significantly attitude toward women empowerment; when brands promote social matters, their underpinning motives are under microscope among consumers, and adverse attributions can hinder brand performance as consumers may not believe the brands when they engage in the activism.

This study explores the sustainable supply chain trade-offs in the electronics industry.

The study employs a social media analytics approach and analyses Twitter posts from August 2017 to December 2021. Thematic analysis is applied to discover the pattern in sustainable supply chain trade-offs based on the consumers' perceptions. In addition, a chi-square test was used to measure whether a relationship exists between product groups and sustainable supply chain perceptions.

The results indicate that environmental practices are the most frequent topic among consumers on social media. Further, although basic sustainable supply chain practices are prioritised in the environmental aspect, advanced sustainable supply chain practices take precedence over basic ones in the social dimension. The result from the chi-square independence test reveals that there is no significant relationship between different products and perceptions of consumers except for economically advanced sustainable supply chain practices.

The main implications of the present study are to offer a fast and efficient method to marketers and companies for discovering customer perceptions. In a way, they can identify where the quality of practices needs to improve in their supply chains to gain customer satisfaction. Additionally, the authors suggest industries declare their trade-off preferences between sustainable supply chain practices transparently.

The findings extend the abundance of sustainable supply chain literature by identifying the sustainable supply chain trade-offs among consumer electronics. Also, the reason for customers' dissatisfaction is provided. In the end, six propositions are presented based on the explorations.

An Indian emerging market positioning taxonomy has been developed in response to the literature review's findings that existing positioning typologies/taxonomies are based on managerial perspectives rather than consumer/customer perceptions and are only developed for advanced countries.

This study employs a three-step process for developing and validating a scale in order to conduct its research. In the first phase, items are generated and selected based on a literature review, focus groups and expert opinion. Exploratory factor analysis is used to fine-tune the scale in the second phase. Phase 3 uses CFA to establish convergent, discriminant and nomological validity through the use of CFA.

A consumer-based taxonomy of positioning strategies were developed as a result of the research. Six distinct positioning strategies emerged that was named (1) Value for Money, (2) Functional (3) Premiumisation, (4) Promotional Campaign, (5) Brand Name (6) Visual Aesthetics.

Developing and validating measurement scales will be made easier with the help of this paper. Target populations, industry and geography selection and a cross-sectional time horizon are just a few of the study's drawbacks.

The study's practical implications include six factors/strategies that managers, advertising executives and marketing experts of consumer electronics companies in the Indian emerging market could use to position their products, resulting in the overall success of their organisations.

This study adds to the marketing literature by providing a solid theoretical foundation and a validated instrument for operationalising positioning strategies.

This study aims to examine the effects of perceived product–brand fit and brand type on consumer evaluations of wearable smart masks’ technological, aesthetic and social attributes and how these affect consumers’ attitudes and intentions to use.

Through an experimental approach, a total of 240 US consumers’ evaluations of smart masks are compared according to perceived product–brand fit (high vs low) and brand type (electronics vs fashion).

The results showed that high perceived product–brand fit increases consumers’ evaluations, while brand type did not significantly affect consumers’ evaluations. Among various attributes, social acceptability had the greatest influence on consumers’ attitude and intention to use. Perceived ease of use, however, positively influenced attitude but negatively influenced intention to use.

As consumers’ interest in smart health-care wearables increases and air pollution is a serious issue across countries, research on wearable smart masks is being facilitated. Smart masks refer to the digitalized, reusable wearable masks that provide protection and health-care functions. However, their market penetration is still limited. To close this gap between smart mask technology and the market, this study examines how perceived fit and brand type can be used to enhance consumer evaluations.

The main goal of the study is to investigate how same-brand slogans simultaneously in use in two emerging markets, namely Turkey and Russia, differ semantically. The study further examines in what ways the industrial competition structure impacts the semantic slogan design within these two contexts.

The study uses the method of semantic explication that is based on a 19-device taxonomy. This method is applied to 56 slogan pairs in the Turkish and Russian languages launched for the same brands/products across 6 industries.

Results indicate that same-brand slogans differ semantically between Turkey and Russia. Moreover, firms tend to conform to a shared semantic pattern within a given industry, largely depending on the industrial competition structure. While strong local competition (as in the electronics and cleaning products industries in Turkey and in the personal care and beverages industries in Russia) leads firms to use self-reference, international competition (as in the automotive, personal care and beverages industries in Turkey and in the electronics and cleaning products industries in Russia) promotes them to use hyperbole in their slogan design.

Adopting a common semantic pattern within an industry may carry the risk of restricting brand differentiation and consumers' sense of novelty. Furthermore, the inclusion of brand names in slogans may make slogans sound assertive and lead consumers to overreact to the brand.

Unlike many studies exploring different-brand slogans through a syntactic or grammatical lens, this study investigates the semantic features of same-brand slogans launched in two emerging market contexts. It adopts a B2B perspective, unlike many extant studies that often focus on a B2C one.