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Risk assessment is imperative for disaster risk reduction. The risk is rooted to various physical, social, economic, demographic and environmental factors that determine the probable magnitude of loss during an extreme event. By way of bringing a conceptual model into practice, this paper aims to examine the flood risk of the Srinagar city.

The “risk triangle” model has been adopted in the present investigation evaluating parameters, reflective of hazard (intensity), exposure (spatial) and vulnerability (sensitivity) using Landsat-8 operational land imager scene (10 September 2014), global positioning system, Cartosat-1 digital elevation model and socioeconomic and demographic data (Census of India, 2011). The authors characterise flood hazard intensity on the basis of variability in water depth during a recent event (September 2014 Kashmir flood); spatial exposure as a function of terrain elevation; and socioeconomic structure and demographic composition of each municipal ward of the city as a determinant factor of the vulnerability. Statistical evaluation and geographic information system-based systematic integration of all the multi-resolution data layers helped to develop composite flood risk score of each ward of the city.

Principal deliverable of this study is flood risk map of the Srinagar city. The results reveal that approximately 46 per cent of the city comprising 33 municipal wards is at high risk, while rest of the area, i.e. 17 and 37 per cent, exhibit moderate and low levels of risk, constituting 23 and 12 municipal wards, respectively. It is very likely that the municipal wards expressing high risk may witness comparatively more damage (impact) during any future flood event. Thus, there is a need of planned interventions (structural and non-structural) to minimise the emergent risk.

Very rare attempts have been made to bring theoretical models of disaster research in practice; this is mainly because of the complexities associated with the data (selection, availability and subjectivity), methodology (integration, quantification) and resolution (spatial scales). In this direction, this work is expected to have considerable impact, as it provides a clear foundation to overcome such issues for the studies aiming at disaster risk assessment. Furthermore, using varied primary and secondary data, this paper demonstrates the relative (municipal wards) flood risk status of the Srinagar city, which is one of the key aspects for flood hazard mitigation.

The purpose of this study is to examine the impact of customer relationship management (CRM) components on competitive advantage through customer loyalty in the banking sector of Bangladesh.

A structured questionnaire was used for the data collection process. In all, 326 respondents were participated in the survey and selected conveniently from the commercial banks of Bangladesh. Data were analyzed by using Smart-PLS software.

The outcomes of this study indicate that customer orientation and technology capability have a positive impact on competitive advantage, while customer knowledge does not. Besides, customer loyalty significantly mediates the relationship between customer orientation and technology capability with competitive advantage, while this mediation effect appears insignificant between customer knowledge and competitive advantage.

This study's findings can help Bangladeshi bank managers communicate with new customers about their promotional activities while keeping old customers informed about new CRM initiatives.

This study adds to the existing pool of knowledge on CRM components, customer loyalty and competitive advantage literature. Particularly, the mediating role of customer loyalty between the CRM components (customer orientation and technology capability) and competitive advantage is the unique contribution of this research.

This study delves into the complex realm of consumer behavior by exploring the impact of distinct shopping motives, encompassing status, value and gratification, on store satisfaction within the domain of organic food retail. Moreover, it seeks to decipher the influence of perceptual disparities between male and female patrons on the intricate nexus between shopping experience and consumer loyalty within organic food stores.

A comprehensive dataset comprising responses from 400 participants was gathered and subjected to confirmatory analysis and structural equation modeling. These analytical tools were employed to dissect the data, validate the underlying research framework and unveil critical insights.

The empirical analysis, facilitated by structural equation modeling, substantiates that organic food stores prioritize the organic attribute, primarily centered on healthiness, often to the detriment of broader conceptual and social aspects. This validates the interplay between shopping experience dimensions, customer contentment, loyalty and the intent to revisit. Gender, as a moderator, exerts a discernible influence on these relationships, highlighting distinct shopping behaviors among male and female consumers when gauging the influence of shopping experience dimensions within organic food retail establishments.

The implications of this research resonate deeply within the organic food retail landscape. The insights garnered provide valuable guidance to organic food retailers aiming to enhance their store ambiance and allure, thereby fostering sustained customer satisfaction. This, in turn, augments the propensity for customer loyalty and repeat patronage, a particularly pressing concern in today's fiercely competitive retail milieu. Furthermore, the study carries significant ramifications for organic food producers and governmental entities, outlining a framework for augmenting the value proposition of organic foods in alignment with customer experiential paradigms.

In a milieu characterized by the emergence of novel product categories and industry entrants, the study fills a critical void by investigating customer satisfaction within the broader retail food sector, with specific focus on organic food stores. Moreover, the research embarks on a pioneering exploration of the prospective trajectory of organic food stores in the Indian context, employing a marketing lens and grounded in the theory of needs satisfaction.

This study aims to focus on proposing and empirically validating a model that captures certain critical socio-psychological factors that nurture consumers' attitude towards affordable luxury brands in an emerging market context of India.

The data were collected via a cross-sectional questionnaire survey from 491 customers of different fashion accessory luxury products in India. The data were analyzed through structural equation modelling (SEM) using AMOS 23.0 SEM software.

The findings of this study reveal that conspicuousness, status consumption, brand name consciousness, need for uniqueness and hedonism positively affect consumer attitude towards affordable luxury, which consequently affects consumers' purchase intention. The findings further reveal that age acts as a moderator in driving consumers' neo-luxury consumption.

By uniting various socio-psychological factors with consumer attitude and purchase intention in a conceptual model, along with studying the moderating role of age, this study responds to the calls for further research regarding affordable luxury and offers a more granular understanding of specific consumer motivations that guide Indian consumers' affordable luxury consumption.

This research aims to examine how health consciousness, social identity, self-identity, trust and willingness to pay premium impact individuals’ intention to make green purchases, which in turn influences organic purchasing behavior. Additionally, the study tried to examine the moderating effect of willingness to pay premium.

Utilizing a purposive sampling approach, a questionnaire survey was used to gather information from 452 customers in India. The conceptual model was assessed, and the research hypotheses were examined using partial least squares structural equation modeling.

The results of this study showed that the intention to make green purchases is strongly influenced by consumers health consciousness, social identity and trust. However, self-identity did not influence consumers green purchase intention. Furthermore, the moderating effect of willingness to pay premium was significant, except for self-identity, in the relationship of health consciousness, willingness to pay premium social identity and trust with green purchase intention.

The research will help producers and marketers refine food and marketing tactics to promote a favorable perception of organic food products.

This study is pioneering in (1) investigating the moderating impact of willingness to pay premium (WLPP) in the relationship of health consciousness, social identity, self-identity and trust with green purchase intention and (2) investigating the influence of consumer identities on green purchase intention in the Indian context.

This paper aims to investigate how banking websites can activate customer engagement (CE) to consequently enhance customer trust and retention.

Using an online survey, data were collected from 598 customers of various (public and private) banks in India. Structural equation modeling was used to analyze the data.

Results reveal that the key website attributes viz. website interactivity, website aesthetics, customization, ease of use and telepresence positively affect CE. The results also delineate positive associations between CE, customer trust and customer retention.

This paper unravels that by strategically focusing on the relational dynamics of CE, banks can build trust and retain their most valuable stakeholders – the customers, thereby addressing the crucial strategic concerns of banking firms.

This research is the first to explore the effects of key website attributes on CE in the banking context. The undertaking of this study in an emerging economy adds further insight into CE literature by generalizing the applicability of CE studies across geographic contexts.

This section focuses on Azerbaijan, Kazakhstan, Kyrgyzstan and Türkiye where knowledge on children and youth has been misconstrued as homogenous and ahistorical. To address this epistemic gap, authors explore the social, cultural and economic experiences of children and youth, their expectations, aspirations and risks under the premise that the region's imperial history, participation in the Soviet Union and postindependence transition, and postimperial present account for and produce social and historical continuities which persist and make for differently experienced childhood, adolescence and youth. Chapters in this section emphasize diverse and creative ways in which young citizens living in Central Asia and Caucasus (CAC) countries engage in negotiating, collaborating, adapting and confronting challenges and barriers presented by the rapidly changing social realities shaped by global labor market transformation, growing economic inequalities and advanced communication systems. This analysis is done from the standpoint of those on whose behalf research is conducted – the youth and children themselves.

A “state-driven” approach suggests that colonists use census categories to rule. However, a “society-driven” approach suggests that this state-driven perspective confers too much power upon states. A third approach views census-taking and official categorization as a product of state–society interaction that depends upon: (a) the population's lay categories, (b) information intellectuals' ability to take up and transform these lay categories, and (c) the balance of power between social and state actors. We evaluate the above positions by analyzing official records, key texts, travelogues, and statistical memoirs from three key periods in India: Indus Valley civilization through classical Gupta rule (ca. 3300 BCE–700 CE), the “medieval” period (ca. 700–1700 CE), and East India Company (EIC) rule (1757–1857 CE), using historical narrative. We show that information gathering early in the first period was society driven; however, over time, a strong interactive pattern emerged. Scribes (information intellectuals) increased their social status and power (thus, shifting the balance of power) by drawing on caste categories (lay categories) and incorporating them into official information gathering. This intensification of interactive information gathering allowed the Mughals, the EIC, and finally British direct rule officials to collect large quantities of information. Our evidence thus suggests that the intensification of state–society interactions over time laid the groundwork for the success of the direct rule British censuses. It also suggests that any transformative effect of these censuses lay in this interactive pattern, not in the strength of the British colonial state.

This study explores the diversity and compatibility of leadership in a local context. It aims to understand the interface between traditional and democratic leadership in local governance.

Following a qualitative approach, the researchers collected data through unstructured interviews and utilised thematic analysis for data interpretation.

The study demonstrated that the emergence of democratic local leadership has not supplanted traditional leaders but rather gained legitimacy and effectiveness by collaborating with them. This study illustrated how traditional and modern democratic leadership can coexist and effectively manage community affairs.

The study emphasises the potential for traditional leaders to take part in local governance activities, offering a practical tool to improve the effectiveness of local governance. Its findings also underscore the need for collaborative governance to deal with local issues.

This research study contributes to the literature on collaborative governance at the local level. It helps us understand the different types of leaders and their collective efforts in meeting local challenges. It is the first study of its kind in South Asia.