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The purpose of this study is to outline a conceptual framework for customer engagement in the context of social media for emerging markets. Three competing models of customer engagement were identified and tested to arrive at the best suited model for the given contexts. The alternative conceptual frameworks involve the constructs of active participation, community trust and community commitment in relation to customer engagement.

Data were collected using questionnaires sent via e-mail to respondents. Structural equation modelling was then used to arrive at the best suited model, while also empirically testing for the relationships among the constructs.

The study, by way of an empirical comparison of alternative conceptual frameworks, presents a customer engagement framework best suiting the social media context for emerging markets. The study also outlines active participation, community trust and community commitment to be acting as antecedents to customer engagement. Further active participation is identified as a necessary antecedent to customer engagement based on the comparative assessment of the frameworks.

While there is not much consensus on the nature of customer engagement, the study offers insights to marketers in terms of managing customer engagement with their brand communities. The study identifies the role and importance of inducing active participation in a brand community context. Further, it also identifies community trust and community commitment to be occurring as antecedents to customer engagement, with commitment implying for a more pronounced role in the framework.

There is no consensus among researchers regarding the nomological network surrounding customer engagement. Further, very few of these studies have focussed on this construct in the context of emerging markets. This study thus attempts to close the above gap, by testing for alternative conceptual frameworks involving customer engagement, in the context of social media for emerging markets.

The study aims to understand the phenomenon of workplace ostracism from multiple perspectives (target, perpetrator and observer). The understanding of the phenomenon is used to thematically analyse the antecedents of workplace ostracism and identify appropriate strategies for each antecedent.

The study findings are based on face-to-face semi-structured interviews with thirty-three senior and medium-level employees from various public and private sector organizations in India. The interview transcripts were systematically analyzed to identify antecedents of ostracism, which were inductively grouped together based on similarity.

The antecedents of workplace ostracism were grouped into four major heads: perceived non-alignment with organizational needs; emotional reaction; unconscious social processes and structural and demographic differences. Based on interview transcripts, strategies to reduce the effect of each of the broad antecedents of ostracism were identified.

Workplace ostracism has been linked with multiple negative outcomes including increased stress and turnover intention. The study provides managers with a framework that enables them to evaluate and understand incidences of ostracism among their subordinates. The study also equips managers with the knowledge of specific strategies for dealing with specific antecedents of ostracism.

The study answers the need to look at the phenomenon of ostracism through multiple perspectives. It identifies multiple potentially new antecedents and strategies to deal with workplace ostracism and groups them in a coherent manner. It is among the few studies on ostracism in India and extends the generalizability of the construct.

Religion plays a crucial role as a sociocultural factor to assess consumer behavior. Stemming from the above, this study aims to analyze the impact of religion and ethnic concern on the purchase intention (PI) of consumers based on the theory of planned behavior.

The research method adopted for this study includes a meta-analysis of the extant literature for the past 20 years focusing on the relationship between religiosity and PI. Data of 24 values from 23 studies were used to assess the impact of religiosity on the PI of consumers.

The findings of this study indicate that religiosity has a strong impact on the PI of consumers. Further, this study identifies that location, sample size and product category play a vital role as moderators toward the relationship between religiosity and PI. This study identifies critical and pertinent implications for brands as they reach out to religious and cultural groups across various geographies, in the context of identifying target markets and adapting marketing strategies.

This study acts in response to the consistent call for research to focus on religion-related variables and fills the gap calling for empirical research into religiosity and its impact on PIs. This study makes notable theoretical, managerial and methodological contributions to the field.

The paper aims to examine the effects of floods on economic growth in India from 1980 to 2019, taking into account the role of foreign direct investment (FDI) inflows and foreign aid.

The study uses augmented Dickey–Fuller (ADF) and Phillip–Perron (PP) tests to determine the stationarity of the variables. Several models, including autoregressive distributed lag (ARDL), fully modified ordinary least square (FMOLS), dynamic ordinary least square (DOLS) and canonical cointegration regression (CCR), are used to examine the impact of floods on economic growth.

The bounds test determines the long-term relationship between floods, FDI inflows, economic growth and foreign aid. According to the ARDL and FMOLS models, floods have a negative long-term and short-term impact on India’s economic growth. Furthermore, FDI inflows and foreign aid are beneficial to economic growth. The findings of the ARDL and FMOLS models are confirmed by the DOLS and CCR models. Granger causality establishes a unidirectional causality that extends from floods to economic growth. Further diagnostic tests show that the estimates are free of heteroskedasticity, serial correlation and parameter instability.

Indian government needs to invest more in research and development on flood management techniques. Institutional strengthening is also required to implement pre- and post-flood prevention measures properly. Sound disaster financing strategy and proper water bodies management should be prioritised. Foreign investment opportunities should be encouraged by strengthening international relations.

This is the first time-series study that analysed the effects of floods on economic growth in India. Moreover, the paper contributes to floods literature by applying several econometric models for robustness check.

A school canteen can serve as an important setting for nutrition and health promotion. The purpose of this paper is to describe secondary school students’ perceptions of Indian school canteens.

Convenience sampling informed the recruitment of 1,026 year 9 students from nine private schools in Kolkata, India, and data were collected through self-completion of paper-based questionnaires. Frequencies and χ² analyses were computed.

The school children reported that energy-dense, nutrient-poor foods like French fries (90.4 per cent), pizza (79.5 per cent) and cakes (69.2 per cent) were frequently available in the school canteens. However, only a few students (10.2 per cent) acknowledged the availability of nutritious foods like fruits. Only a small proportion of students were content with the nutritional quality of food supplied in the canteens (3.6 per cent), the cost of food (8.7 per cent) and availability of fresh foods like fruits (5.5 per cent). The provision of healthy foods in the school canteen was supported by two-thirds of the respondents (65.9 per cent); however, only a small proportion (18.3 per cent) supported the restriction of fried foods in school canteens.

These findings underscore the need for the design and implementation of healthy school canteen policies to foster healthy eating habits among Indian adolescents.

This is the first cross-sectional survey to investigate the views of adolescents regarding school food services in the Indian context.

The purpose of this paper is to understand the situation of Accurate and then to consider possible options for Accurate to face competition in future. Several opportunities are also linked with certain drawbacks and hence by studying the entire mechanism, the decision makers of Accurate may decide on its future direction and how to go about it.

Accurate Weld Arc was established in New Delhi in 1993, his son. The company focused on manufacturing wire drawings and selling to niche customer segment. Due to this, they were operating at a modest turnover. At this juncture, the organization took two critical decisions, first, to enter the welding electrodes market which had a bigger target segment, and second, to hire a Marketing Head who conducted an extensive marketing research to recognize the need of customers and to identify differentiating factors for the organization. Later, the company made further investment in middle-gauge welding electrodes and its turnover climbed in the first year. After that, the company had set up a manufacturing unit in Raipur, Chattisgarh which generated huge profit and is now looking forward to spread its wings in other parts of the country.

This case may be used for postgraduate students, who are doing their specialization in finance and accounting.

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This study addresses the growing cyber risks of banks by proposing an innovative, end-to-end dual-layer blockchain-based cyber fraud (CF) response system that integrates Safeguard (SG) and Block guard (BG) mechanisms. The comprehensive solution offers an actionable framework for bank managers to mitigate CFs by prioritizing fraud detection, leveraging early warning signals (EWS), and implementing tailored, need-based control measures before, during, and after a fraud event.

The study uses a multi-method approach, beginning with an extensive literature review on fraud identification, assessment, and prevention strategies. A theoretical framework is constructed to support the proposed SG and BG measures. Machine learning-based data analysis, using Artificial Neural Networks, is employed to dynamically assess the severity of CFs in real time. A managerial action plan for each phase of the fraud lifecycle is presented.

The research underscores the necessity for an adaptable, dual-layered response system that transitions from reactive to proactive and predictive mitigation strategies. The study introduces a novel approach incorporating SG and BG mitigation measures, enabling managers to detect early warning signals and implement robust post-fraud interventions.

The dual-layer approach enhances the sector's resilience to CFs by providing a robust, adaptive framework for fraud prevention and mitigation. This approach helps maintain stability, SG the bank's reputation, and improve overall risk management practices.

This study is unique in its development of an integrated SG and BG response system, combining machine learning, blockchain technology, early warning signals, and a structured before-during-after fraud control model. The research also highlights the critical role of bank managers in implementing and overseeing this innovative response system.

This study aims to examine the psycho-emotional and social experiences of caregivers of children with autism spectrum disorder. Various facets of the caregiving experience are explored, including the feelings and thoughts of the parents/caregivers, such as the resilience experienced in their journey, how they coped with the challenges and also their positive experiences.

In this study, these aspects of the caregiving experience are broadly probed using semi-structured interviews subjected to narrative analysis. Lastly, there is a focus on the role of therapist-led intervention, specifically, the Eye to I^© intervention model and its contributions to the parent/caregiver experience.

Findings from this study indicate that parents benefit from interventions that bridge gaps in skills and interpersonal communication which parents/caregivers feel they encounter in their day-to-day activities. Additionally, support groups for parents and caregivers could further address these issues.

This exploration reveals insights about the roles of societal structures and the caregiving journey.

The purpose of this study is to analyse and compile the literature on various option pricing models (OPM) or methodologies. The report highlights the gaps in the existing literature review and builds recommendations for potential scholars interested in the subject area.

In this study, the researchers used a systematic literature review procedure to collect data from Scopus. Bibliometric and structured network analyses were used to examine the bibliometric properties of 864 research documents.

As per the findings of the study, publication in the field has been increasing at a rate of 6% on average. This study also includes a list of the most influential and productive researchers, frequently used keywords and primary publications in this subject area. In particular, Thematic map and Sankey’s diagram for conceptual structure and for intellectual structure co-citation analysis and bibliographic coupling were used.

Based on the conclusion presented in this paper, there are several potential implications for research, practice and society.

This study provides useful insights for future research in the area of OPM in financial derivatives. Researchers can focus on impactful authors, significant work and productive countries and identify potential collaborators. The study also highlights the commonly used OPMs and emerging themes like machine learning and deep neural network models, which can inform practitioners about new developments in the field and guide the development of new models to address existing limitations.

The accurate pricing of financial derivatives has significant implications for society, as it can impact the stability of financial markets and the wider economy. The findings of this study, which identify the most commonly used OPMs and emerging themes, can help improve the accuracy of pricing and risk management in the financial derivatives sector, which can ultimately benefit society as a whole.

It is possibly the initial effort to consolidate the literature on calibration on option price by evaluating and analysing alternative OPM applied by researchers to guide future research in the right direction.

In this paper the effects of viscous dissipation and ohmic heating on the fluid flow and resulting heat and mass transfer caused by vertically moving rotating disk are explored with magnetic field acting perpendicular to disk rotation. The flow regime is also under the influence of Dufour and Soret effects.

An approach of similarity transformation is used to transform the governing set of equations into non-linear ordinary differential equations. Numerical simulations are carried out in Maple software to study the influence of incorporated non-dimensional parameters viz. disk movement parameter (−0.3 < S < 0.2), magnetic parameter (0.1 < M < 0.4), Eckert number (0.1 < Ec < 1), Schmidt number (0.1 < Sc < 1), Soret parameter (0.1 < Sr < 1) and Dufour number (0.1 < Du < 1) on velocity, temperature and concentration profiles.

The upward/downward motion of the disk along with rotation set up a three-dimensional flow over the disk surface and exerts the same effects as injection/suction through the wall. It is also observed that incorporated parameters along with disk movement greatly affect the flow regime and associated heat and mass transfer.

The present study examines the heat and mass transfer characteristics of incompressible Newtonian fluid over an impermeable rotating disk moving vertically. The effect of viscous dissipation and ohmic heating is considered. To the best of the authors’ knowledge, such consideration is yet to be published in the literature.