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Points out that, although blind tests have generally revealed that consumers can detect little difference between store brand and national brand products, private brands still only have a small market share (14.9 percent). Using an environmental psychology model as the study framework, which postulates a stimulus‐response process, examines the effects of store atmosphere on consumer evaluations of private brand grocery products. Analyzes the results which show that store aesthetics do influence consumer perceptions of store brand quality. Discusses the managerial implications of the findings and the limitations of the study, and makes suggestions for future research.

The usefulness of loyalty as a construct for understanding and analysing the market for banking services is here discussed. Using empirical data, the socio‐demographic, attitudinal and behavioural characteristics of loyal versus non‐loyal bank patrons are described. Bank loyalty can be measured and is useful in explaining differences in banking skills, expected benefits and attitudes towards banks and level of utilisation of banking services.

Although unproven, many researchers have assumed that firm strategies remain constant over time, but such conclusions have resulted in conflicting generalizations. This study further extends the use of interpoint distance methodology to compare factor structures of marketing strategies of entrepreneurial technology firms at two points‐in‐time – 1989 and 1998.

Strategic planning is an organization’s process of describing its strategy, or direction, and making decisions on allocating its resources to track this strategy. SWOT analysis is one of the most commonly used techniques for strategic planning. SWOT examines the strengths (S) and weaknesses (W) agents of the community together with opportunities (O) and threats (T), for selecting and implementing the best strategy which helps in achieving its goals. The purpose of this paper is to enhance the performance of SWOT analysis regarding the quantitative side of strategies, select the best strategy from different strategies and deal effectively with vague and incompatible information, which occurs usually in actual life.

This study used the neutrosophic analytic hierarchy process (AHP) incorporated with SWOT analysis.

By adding the neutrosophic AHP to SWOT analysis, the performance of SWOT analysis is enhanced through determining the quantitative values and dealing with vague and inconsistent information effectively leading to improved decisions.

The developed integrated methodology is validated in a real-life case of Starbucks company. For the case study of Starbucks company, the proposed model helps in determining different strategic plans and, further, ranking these plans effectively, which will help the company to compete with its competitors and develop itself by obtaining a competitive advantage over its competitors in an uncertain business environment.

In the case study of Starbucks company, the proposed model helps to determine the different strategic plans, rank these plans which help the company compete with its competitors, develop itself and grow.

This research is the first to address SWOT analysis with neutrosophic AHP.

Conventionally, consumers perceive luxury products as a means of displaying their wealth and prosperity. Consumption of luxury products has usually been considered the prerogative of the Western world. Although there are a number of studies capturing the pre-purchase and purchase behaviour of consumers, there is a dearth of quality studies that have been conducted in this field to understand the post-purchase behaviour of consumers towards luxury brands, especially in the context of young shoppers in an emerging market context. Studying the post-purchase behaviour of shoppers is important to understand their experience with the brand. A negative experience could lead to a post-purchase dissonance, which in turn could lead to an unbalanced or distorted attitude towards the brand and other marketing stimuli. Keeping this in consideration, the purpose of this study is to explore the experiences and attitudes of young shoppers in India towards luxury consumption.

The study captured responses from young shoppers of Chandigarh and its satellite cities located in the relatively prosperous northwest region of India. The data were collected from 200 participants through a structured questionnaire that was based on an adapted “Attitude towards the concept of luxury” scale by Dubois and Laurent (1994) and “Brand Experience” Scale by Brakus et al. (2009). The structural equation modeling technique was applied to test the proposed model.

The empirical results indicate that sensory, intellectual, behavioural and affective experience play a significant role in building the attitude of consumers towards luxury brands.

The study selected university students from Chandigarh (India) Tricity region as target respondents, which may limit the generalisability of the results to other target respondents in different regions of India or other countries.

The study is useful for researchers, academicians, marketers and retailers of luxury brands, as it gives fresh insights into understanding the consumer behaviour of a young segment towards the consumption of luxury brands in the post-purchase scenario, especially in the context of an emerging market.

The uniqueness of the study lies in the fact that it examines the post-purchase behaviour of a segment consisting of young, educated and aspirational individuals in one of the world’s fastest-growing major economies.

This study aims to explore the role of the linguistic style used in the brand-posted social media content on consumer engagement in the Fintech domain.

A total of 3,286 tweets (registering nearly 1.35 million impressions) published by 10 leading Fintech unicorns in India were extracted using the Twitter API. The Linguistic Inquiry and Word Count (LIWC) dictionary was used to analyse the linguistic characteristics of the shared tweets. Negative Binomial Regression (NBR) was used for testing the hypotheses.

This study finds that using drive words and cognitive language increases consumer engagement with Fintech messages via the central route of information processing. Further, affective words and conversational language drive consumer engagement through the peripheral route of information processing.

The study extends the literature on brand engagement by unveiling the effect of linguistic features used to design social media messages.

The study provides guidance to social media marketers of Fintech brands regarding what content strategies best enhance consumer engagement. The linguistic style to improve online consumer engagement (OCE) is detailed.

The study’s findings contribute to the growing stream of Fintech literature by exploring the role of linguistic style on consumer engagement in social media communication. The study’s findings indicate the relevance of the dual processing mechanism of elaboration likelihood model (ELM) as an explanatory theory for evaluating consumer engagement with messages posted by Fintech brands.

Research in the context of an individual’s choice of an entrepreneurial career has looked at effect of perceived self-efficacy (PSE), personality characteristics (PC) and subjective norms on entrepreneurial intentions (EIs). In contrast, the purpose of this paper is to compare these constructs across a vocational student (VC) group and an academic group (AC), in a supportive entrepreneurial ecosystem. It also includes PC of the individuals as a variable.

The analysis is based on a quantitative method followed by a qualitative approach to gain more insights in the study domain. It includes administration of a survey questionnaire and a round of unstructured interviews with select students.

Theorizing that there would be significant differences in PSE, PC and EIs between the two groups, the study demonstrates that for all the three variables, individuals opting for a vocational course exhibit significant difference as compared to an academic group. The results are significant when controlled for family business background and gender.

This paper has contributed to the academic literature in the entrepreneurship domain by differentiating the choice of an academic course prior to taking up a career in entrepreneurship and how it impacts entrepreneurial orientations. These interrelationships can further be extended into the domain of social media and networks, to draw interesting insights pertaining to how students get influenced by the social media in their choice of entrepreneurial career.

Document retrieval has become a hot research topic over the past few years, and has been paid more attention in browsing and synthesizing information from different documents. The purpose of this paper is to develop an effective document retrieval method, which focuses on reducing the time needed for the navigator to evoke the whole document based on contents, themes and concepts of documents.

This paper introduces an incremental learning approach for text categorization using Monarch Butterfly optimization–FireFly optimization based Neural Network (MB–FF based NN). Initially, the feature extraction is carried out on the pre-processed data using Term Frequency–Inverse Document Frequency (TF–IDF) and holoentropy to find the keywords of the document. Then, cluster-based indexing is performed using MB–FF algorithm, and finally, by matching process with the modified Bhattacharya distance measure, the document retrieval is done. In MB–FF based NN, the weights in the NN are chosen using MB–FF algorithm.

The effectiveness of the proposed MB–FF based NN is proven with an improved precision value of 0.8769, recall value of 0.7957, F-measure of 0.8143 and accuracy of 0.7815, respectively.

The experimental results show that the proposed MB–FF based NN is useful to companies, which have a large workforce across the country.

The coronavirus disease 2019 (COVID-19) outbreak in the first quarter of 2020 has caused a severe decline in stock markets worldwide. While prior studies in developed markets found that workplace closure can negatively impact the capital market (e.g. Ozili and Arun, 2020), lesser is known about how it impacts emerging capital markets, which may have different characteristics and behaviour (Harjoto et al., 2021). Hence, this study seeks to uncover stock performance around workplace closure dates of firms incorporated in ASEAN countries and investigates the role of accounting fundamentals in mitigating workplace closure policy's effects on stock performances.

Using an event study methodology, the authors measure the cumulative abnormal returns (CARs) around workplace closure dates. The authors then use cross-sectional analysis to analyse whether the accounting fundamentals, specifically profitability, cash flow, and leverage, are associated with the CAR. This cross-sectional study involves 1,720 firms that are incorporated in the ASEAN countries.

This analysis indicates that, on average, ASEAN capital markets react negatively to workplace closure policies. The authors then find that the CARs around workplace closure dates are positively associated with the current ratios and are negatively associated with long-term debt ratios. This study’s results thus indicate that firms with a higher liquidity and a higher solvency experience a less adverse impact of the COVID-19 pandemic than other firms. The authors also find that the associations are more robust for (1) firms in industries more affected by COVID-19 and (2) firms located in countries with more severe cases. Additionally, contrary to this study’s expectation, the authors do not find meaningful associations between CARs around workplace closure dates and firms' cash flow from operation and profit respectively. This study’s results suggest that investors view prior performances related to firms' ability to generate operating cash flow and profit as less relevant to measure firm performance around the workplace closure event.

This study’s results contribute to studies examining fundamental accounting roles during the COVID-19 era, specifically in emerging economies. The findings are critical for investors in understanding the company fundamentals associated with stock price performance in emerging markets during the recent health-related crisis.

Most studies analysing cross-sectional differences in stock returns during the COVID-19 era focus on industry-level differences and use observations from developed markets (Sinagl, 2020; Ramelli and Wagner, 2020). Studies using firm-level analysis in emerging markets are still limited. The authors expand prior studies by using firm-level analysis that spans six countries in ASEAN.

The purpose of this paper is to understand and map the global competitiveness of firms in emerging markets. The authors refine a framework (called the “strategic control map”, or SCM) that looks at market capitalization – using two parameters of book equity (size) and price to book ratio (performance) – as a key driver of the competitiveness of firms. However, the SCM has limited value in the context of smaller and largely domestic firms, as is the case in emerging markets. To develop a more comprehensive understanding, additional vital metrics such as the degree of internationalization need to be considered.

The authors compare top 100 Indian firms against global firms on four dimensions – i.e. market price to book ratio, book equity, scope and scale of international operations. The authors consider data for the year 2009-2010 to make comparisons.

The SCM, formulated with a developed market focus, is not suitable in the context of emerging markets as it fails to consider internationalization as essential to compete at the global level. Accordingly, the authors propose a new conceptual framework, referred to as the “strategic positioning map” (SPM).

In this paper, the authors argue that “international intensity” and “market capitalization” can be two important dimensions to map the relative paths of growth for firms from emerging markets.