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While popular genre fictions like detective novels are often centred around formulaic plots and stereotypical characters, they also undergo several exciting changes when adapted in a diverse array of cultural and linguistic contexts. My chapter examines the first female detective of a Bangla crime writing series, Detective (Goyenda) Krishna as a figure that challenges patriarchal stereotypes related to violent women and dismantles the illusory neatness of binaries associated with ‘good’ and ‘bad’ femininity. The gun-toting, vengeance-seeking literary detective is also examined as mediating shifts and transitions in gendered practices and norms in Bengal – its socio-political as well as literary contexts – as it negotiated ideas of decoloniality from the first decade of the twentieth century and emerged as part of a new, partitioned nation in 1947. She is seen as a creative response to the changes related to gender that had been gradually taking shape in colonised Bengal and as articulating radically re-imagined possibilities and opportunities related to female subjectivities in a newly decolonised nation.

In construction projects, engineering variations are very common and create breeding grounds for opportunistic claims. This study investigates the complementary effect between an inspection mechanism and a reputation system in deterring opportunistic claims, considering an employer with limited inspection accuracy and a contractor, which can be either reputation-concerned or opportunistic.

This paper applies a signaling game to investigate the complementary effect between the employer's inspection and a reputation system in deterring the contractor's possible opportunistic claim, considering the information-flow influence of claiming prices.

This study finds that in the exogenous-inspection-accuracy case, the employer does not always inspect the claim. A more stringent reputation system complements a less accurate inspection only when the inspection cost is lower than a threshold, but may decline the employer's surplus or social welfare. In the optimal-inspection-accuracy case, the employer always inspects the claim. However, only a sufficiently stringent reputation system can guarantee the effectiveness of an optimal inspection in curbing opportunistic claims. A more stringent reputation system has a value-stepping effect on the employer's surplus but may unexpectedly impair social welfare, whereas a higher inspection cost efficiency always reduces social welfare.

This article contributes to the project management literature by combing the signaling game theory with the reputation theory and thus embeds the problem of inspection mechanism design into a broader socio-economic framework.

Workplace bullying generates various emotions, including shame in the target; these emotions can induce employee silence. However, the role of shame in the relationship between workplace bullying and employee silence, and the individual differences in how victims experience shame and silence, has not yet been explored. The present study aims to fill this gap in the literature, using the effect of shame as a mediator and core self-evaluation (CSE) as a moderator.

Two thousand faculty members working in different colleges in India were invited to participate in the online survey. The participants were invited to fill in the questionnaire only if they had experienced shame by bullying during the preceding two weeks. Three hundred and twenty faculty members responded to the survey.

The results showed that shame mediates the relationship between workplace bullying and diffident silence. In addition, CSE moderates the relationship between shame and diffident silence but not the relationship between workplace bullying and shame. That is, diffident silence induced by shame was noted to be weaker for employees with high CSE. Importantly, the study could not find any individual difference in experiencing shame by bullying.

Improved CSE can effectively influence diffident silence through shame, helping the management to recognize workplace bullying.

It is a unique attempt to address diffident silence among Indian academicians, and study the role of targets’ shame and CSE while adopting silence on workplace bullying.

Family events have unique significance on children as well as long-lasting impacts on them during their adulthood. A review of conceptual and theoretical literature on the subject was conducted to identify underlying trends and best practices in engaging children in the events industry. Societies are in transition from industrialised societies into risk societies and are increasingly becoming eco-socialised. Family events are integral towards developing inclusive and integrated societies and in realising Sustainable Development Goal 16 (SDG 16). Childhood is always eco-socialised, i.e. socially, economically and ecologically integrated with other forms of life. To the extent that childhood nostalgia forms the basis for future sustainable events and tourism choices. Family events are, therefore, increasingly becoming fundamental towards developing sustainability discourse. This viewpoint chapter provides conceptual and theoretical perspective on the roles and impacts of childhood research in sustainability discourse.

Weick and Sutcliffe identified five principles that enable high-reliability organizations (HROs) to address environmental complexity and manage unexpected events. The current study aims to adopt this sensemaking perspective to analyze accidents within a typical HRO sector, namely maritime transport.

Through a retrospective case study analysis, this study focused on seven oil tanker accidents, using them as illustrative examples.

Findings show how the five principles contributed to the accidents' occurrence, explaining how failures in sensemaking affected the crew's capability to both prevent errors and cope with their consequences, thus leading to disasters.

Overall, the study offers an applicative contribution showing how this model may provide a reliable framework for analyzing the psychosocial factors affecting an accident. This approach deepens the understanding of how latent factors are enacted and how the prevention and error management phases interrelate within a comprehensive flow of the entire accident sequence. Furthermore, the study emphasizes consistent patterns that emerge across multiple accidents within the same sector, in order to learn valuable lessons to improve safety measures in the future.

This study constitutes an exemplary application in support of how Weick and Sutcliffe’s model is valuable for investigating HROs. It offers a second-order interpretative framework to understand accidents and underscores the interplay among these factors during the dynamic development of an accident.

This chapter explored the community resilience among the river bank erosion affected people of the coastal area in Bangladesh. This chapter particularly looked at the affected people’s opinions and participation in the governmental organization (GO) and non-governmental organizations’ (NGO) relief and recovery process. This study employed a mixed-method approach, where a multimethod data collection procedure was used and data were from three Upazilas (sub-divisions) of the Bhola District in Bangladesh. Quantitative data were collected using a structured interview schedule from 371 household heads, while the qualitative data were generated from 30 relevant participants through in-depth case interviews, focus group discussions and key informants’ interviews. Results showed that a higher number of affected people did not get government relief and services though they were happy with the government’s permanent measures, that is, building embankment. The affected people gave a negative impression about the GO and NGOs’ initiatives in the recovery process such as awareness building, needs assessment and formation of community-based organizations. Most of the affected households did not participate in the decision-making process of the recovery and construction planning and programmes that were controlled by the local power politics. Findings would be an important guideline to the policy-makers, disaster managers and development practitioners.

This study aims to explore the perceptions of investors regarding the risks associated with funding renewable energy projects in India, as well as the various factors that influence these perceptions. The investigation is limited to debt providers and seeks to pinpoint the primary risks that bankers perceive and the drivers that shape these perceptions.

This study draws on interviews and surveys of Indian bank executives, investigating how finance providers perceive risks in the Indian context and the factors driving such perceptions. Qualitative interviews have been used for operationalizing “risk perception” within the renewable energy domain, followed by a quantitative survey and exploratory factor analysis.

The authors find that experience and capacity are the most important factors that account for 30% of the overall variance. The second factor, which accounts for 15% of the variance, includes the perceived risks in funding renewable energy projects as compared to infrastructure projects. Among individual risks, the authors find that bankers perceive technological risk to be the lowest (5%) and contractual and regulatory risks as the highest (66%) in renewable energy projects.

The study contextualizes risk perception toward renewable energy investments in the Indian context by drawing from the risk perception literature and qualitative interviews with senior bankers. It presents empirical evidence on the decision-making behavior of bankers, who are important stakeholders of the renewable energy ecosystem. The main limitation of the study is the relatively small sample, and generalizing the results to the broader population might require a larger sample. This will facilitate the use of confirmatory factor analysis and structural equation modeling, which can facilitate a more comprehensive understanding of risk perceptions in renewables financing.

Insights gained can be used to provide policy recommendations for improving the financing ecosystem of renewable energy projects. The research significantly contributes to the extant literature within the renewable energy financing domain for emerging economies.

In Theory of Moral Sentiments, Adam Smith reasons about how a change in one thing, A, is attended by a change in another thing, B. In expounding on such bivariate relationships, Smith sometimes seems to go out of his way to posit a state of the world in which the relationship would break down. That feature suggests an irony about knowing how a change in B attends a change in A. We might think we understand the bivariate relationship, but it holds only for certain states of the world. The relationship is circumstanced. The more one studies the Moral Sentiments, the more one realizes that circumstantiality suffuses its teachings. My discussion arrives at a place of doubt about the most important bivariate relationship – that between approval from our conscience and doing good. Smith seems to suggest, particularly at the end of his life, that a person can best know the relationship between his conscience’s approval and his doing good under circumstances of his having frank and open friendships. The implication for politics is that we want that kind of government that best conduces to frank and open friendships.

Purpose: This study links SDG goal 9 of industry, innovation strategies and another infrastructural environment to branding relating to destination and interactive marketing. Digital marketing tools with various applications aim to offer hi-tech services to customers in interactive marketing services, namely multiple goods and services, data and innovative techniques in the tourism and travel sector. Exploring the study would add to the existing literature supporting interactive marketing procedures and destination branding. Branding relating to destinations fosters tourists around the globe facilitating economic growth and development and supporting the local economies.

Need for the Study: It is observed from the literature that very few studies have been identified across the globe from various researchers on the interactive marketing and destination branding that ensures brand loyalty and reassesses the intent of the tourists just before the epidemic pandemic in the form of COVID-19. Artificial Intelligence, as part of information technology, offers various interactive marketing services in the form of different social media marketing strategies, attractive websites for tourists and travel providers and image building on destination branding. This study would help fill the marketing gap, which results in branding relating to destination, brand loyalty and reassessing the intent of various tours and travel plans just before the pandemic.

Methodology: The study focused on the literature, demonstrating the stimulus organism methodology and examining the impact of potential marketing strategy, which is interactive focusing on the destination branding, loyalty relating to the brand and also procedures to revert with the intent that would motivate and facilitate the customer’s confidence showering the loyalty relating to the brand in the travel and tourism sector.

Findings and their Practical Implications: The study revealed that the marketing relating to interactive methodologies in the hi-tech digital approaches ought to be carried out to create opportunities for prospective tourists willing to get information about various tourists destinations with the help of various marketing techniques such as different social media applications, easy access of websites for accessing the tourist destinations and relevant information, accessing images pertinent to the tourism destinations with the ease of chat box and providing suitable audios and video sources to the potential customers.

The decision to select one amongst many choices of higher education institutions (HEIs) is a complex process. At a theory-building level, this study investigates the determinants of students' decisions as they consider investing in a long-term credence service higher education (HE) contract in pre- and in-pandemic and the implications for education managers. The second aspect is how disruptive global events influence such choice-making.

The study hypothesized that there would be significant differences in the driving factors and their weight in students' decisions seeking admission into B-schools (Business schools). Structural equation modeling (SEM) and t-test validate the determinants and test hypothesized differences.

Results reveal that core faculty quality, industry exposure, institutional brand name, placement offered, return on investment and specializations offered are the preferred choice criteria. The results reveal that choice criteria in the pre-and in-pandemic differ significantly.

The application of the SEM approach on a large primary database of students during the pre and in-pandemic periods to understand the changes in the choice of B-school for admission is the original aspect of the paper. Insights from the four hypotheses which got rejected provide value to stakeholders. As the pandemic is rearing its head once again across the globe, this study would be able to inform admissions managers on how to navigate for admissions success.