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On 20 March 2020, the four adult convicts of the 2012 Delhi rape case were executed after a long debate regarding the punishment for their crime. The Delhi rape case, unlike others, was also given to the fast track court because of the worldwide outrage India received in its aftermath. Otherwise, most rape survivors rarely speak out and if they do, their lives are often endangered and threatened, depending on the severity of the case itself and the perpetrator's rank in the society. Through the analysis of Aniruddha Roy Chowdhury's, 2016 film Pink, and Ajay Bahl's film Section 375 (2019), this chapter explores the different ways in which mainstream Hindi cinema deals with such questions, especially in its depictions of courts. Both these films foreground India's contemporary cultural systems of fear that silence the rape survivors. They also imply that in the court cases, unless the specific court case faces intense global publicity, as was the case of the Delhi gang rape, rape survivors will never want to speak out. Moreover, the rape survivors will also hesitate to file a First Information Report (FIR) – a document that records crimes by the police against their perpetrators – limiting any possibility for justice for them. The laws surrounding rape cases are obscure and complex and finding justice for a rape victim (unless it is on a global level) is not an easy venture in India. At the time of the #metoo movement, the rape laws in India are not designed in such a way to arguably encourage victim-survivors to speak up. Instead, if rape survivors do decide to confront their perpetrators, they not only face ostracisation from society but also the danger of losing loved ones and endanger their lives as well.

Aaker’s brand personality scale (BPS) published in 1997 has revived hitherto sluggish interest in brand personality research. With time, the BPS, most cited work in brand personality, also faced criticism across dimensions. This paper aims to review the popular journals published after 1997 for criticism related to BPS.

Papers using Aaker’s BPS without change/with change are identified and scrutinized for reasons for the usage of BPS. Papers on brand personality that have avoided BPS are also scrutinized for reasons of avoidance. Independent efforts of understanding brand personality without Aaker’s framework are also reviewed. In-depth study of all these papers is done to report the criticism of Aaker’s BPS.

This review identifies the criticism of BPS and classifies it across six categories – definition, dimension, methodology, concept, words and generalizability related criticism. This paper argues that some issues such as definition, conceptual understanding of brand personality and methodology used to develop BPS need further attention of scholars. On the other hand, issues of dimensions, words used and generalizability can be attributed to evident reasons, such as culture and meaning given to words because of native language.

This criticism and interest in Aaker’s BPS are unprecedented. It has been 20 years since BPS was published. Many scholars have countered the Aaker’s BPS through their work; however, a comprehensive review covering all criticisms and issues of BPS is still missing in literature. This paper is filling this gap in literature.

La Escala de Personalidad de Marca de Aaker fue publicada en 1997 y desde entonces ha motivado el interés por la investigación de la personalidad de la marca. Con el tiempo, esta escala se ha convertido en la más citada, pero también ha sido objeto de crítica. Este artículo revisa las principales críticas a la escala desde su publicación en 1997.

Se analizaron los artículos que utilizaron la escala de personalidad de marca de Aaker sin cambios o con cambios y los motivos de uso. Se examinaron los trabajos que evitaron utilizar la escala y las razones argumentadas. También se analizaron los esfuerzos realizados para comprender la personalidad de marca al margen de este enfoque. El análisis en profundidad de todos estos trabajos permitió sintetizar las principales críticas vertidas hacia la escala de personalidad de marca de Aaker.

Las críticas a la escala de personalidad de marca fueron clasificadas en seis categorías - Definición, Dimensión, Metodología, Concepto, Palabras utilizadas y Capacidad de generalización. El artículo argumenta que algunas cuestiones como la definición, la comprensión conceptual de la personalidad de la marca y la metodología utilizada para desarrollar la escala requieren mayor atención por parte de los académicos. Por otra parte, los problemas relacionados con las dimensiones, las palabras utilizadas y la capacidad de generalización pueden atribuirse a razones evidentes como la cultura, diferente significado de las palabras en distintos países, etc.

Las críticas e interés generado por la escala de personalidad de marca de Aaker no tienen precedentes. Han pasado 20 años desde su publicación y son muchos los investigadores han vertido sus críticas específicas. Sin embargo, en la literatura se echa en falta algún trabajo que revise todas estas críticas de forma integrada. Este artículo pretende cubrir este vacío en la literatura.

Due to unceasing declination in environment, sustainable agro-food supply chains have become a topic of concern to business, government organizations and customers. The purpose of this study is to examine a problem associated with sustainable network design in context of Indian agro-food grain supply chain.

A mixed integer nonlinear programming (MINLP) model is suggested to apprehend the major complications related with two-echelon food grain supply chain along with sustainability aspects (carbon emissions). Genetic algorithm (GA) and quantum-based genetic algorithm (Q-GA), two meta-heuristic algorithms and LINGO 18 (traditional approach) are employed to establish the vehicle allocation and selection of orders set.

The model minimizes the total transportation cost and carbon emission tax in gathering food grains from farmers to the hubs and later to the selected demand points (warehouses). The simulated data are adopted to test and validate the suggested model. The computational experiments concede that the performance of LINGO is superior than meta-heuristic algorithms (GA and Q-GA) in terms of solution obtained, but there is trade-off with respect to computational time.

In literature, inadequate study has been perceived on defining environmental sustainable issues connected with agro-food supply chain from farmer to final distribution centers. A MINLP model has been formulated as practical scenario for central part of India that captures all the major complexities to make the system more efficient. This study is regulated to agro-food Indian industries.

The suggested network design problem is an innovative approach to design distribution systems from farmers to the hubs and later to the selected warehouses. This study considerably assists the organizations to design their distribution network more efficiently.

The aim of this study is to analyze the existing literature available on corporate strategy and capital structure with the help of a bibliometric analysis.

A total of 133 studies indexed in the Scopus database over the period from 1979 to 2024 are included and analyzed using the Biblioshiny package in RStudio along with VOSviewer for network visualization. Additionally, this study used biblioMagika and OpenRefine to harmonize and clean the data.

This study identified the leading contributors in terms of countries, authors, sources and documents and used various analysis techniques. The USA, Canada and the UK exhibited the most significant level of contribution. Furthermore, Bradford’s Law is applicable to the results of this study. The bibliographic coupling resulted in the five clusters indicating emerging themes in the field.

The study’s findings will contribute to the academic landscape by providing an exhaustive examination of the concerned research field and will guide potential researchers for future research avenues. This study will also highlight the need for managers and policymakers to factor in diverse corporate strategies when shaping organization’s capital structures.

To the best of the authors’ knowledge, this study represents the first attempt to map the landscape of this field through the presentation of insights derived from bibliometric analysis.

Even with the Saudi Arabian Government's discretionary measures to mitigate the spread of the coronavirus disease 2019 (COVID-19), the economic sectors were not spared from the damage. Thus, the paper aims to use a computable general equilibrium (CGE) model to evaluate the impact of COVID-19 on the Kingdom of Saudi Arabia's (KSA) economy, with a special focus on small and medium enterprises (SMEs) and production. These influence the level of poverty.

The paper adopted the social accounting matrix (SAM) for Saudi Arabia built in 2021 by Imtithal Althumairi from Saudi Arabia's 2017 SAM. The model represents a snapshot of the economy and different flows that exist within the tasks and institutions. Two simulations (mild and severe) were conducted because of the focus on the distributional outcomes.

Decrease in job creation and economic growth were significant evidence from the study's findings. Findings show that more families hit below the poverty line because the negative impacts of the pandemic have shifted the income allocation curve. Findings show that the weakest of the poor are mitigated by government social grants during the pandemic.

The paper is restricted to the relevant literature relating to the impact of COVID-19 on Saudi Arabia's economy and evaluated using the SAM model. Moreover, the COVID-19 is still an ongoing scenario; thus, the model should be updated as data utilised for the operationalisation are made available.

The information from the suggested model can be suitable to measure the degree of the harm, and thus, the likely extent of the desirable policy feedback. Also, the model can be updated, as data are made available and formulated policies based on the updated data implemented by the policymakers.

Apart from the recovery planning of SMEs during the pandemic, the paper intends to stir up Saudi Arabia's policymakers through the macro-micro model to recovery planning and resilience of the economy with emphasis on mitigating unemployment.

The development of models that allows the evaluation and prediction of erosion processes is an important tool for the management and planning of coastal systems. Mangrove forests systems are under threat by the impacts of erosion, which is also intensified by human activity (and aggravated in the scenarios of global warming and climate change). The purpose of this paper is to develop a model of geographic information systems (GIS) that can be used for any estuary area, but it can also be used for mangroves.

This paper uses georeferentiation which is defined as a set of parameters that best characterize the mangrove areas: elevation (m); geomorphology; geology; land cover; anthropogenic activities; distance to the coastline (m) and maximum tidal range (m). Three different methods are used to combine the various vulnerability parameters, namely, DRASTIC index, analytical hierarchy process (AHP) and square root of the geometric mean.

The three approaches presented in this work show different types evaluating vulnerability to erosion, highlighting a stronger overvaluation of the areas presented with a high vulnerability, through the use of DRASTIC index when compared with two other approaches. The use of the AHP shows similarity to the square root of the geometric mean model, but the AHP also presents a higher percentage of vulnerable areas classified as having medium to very high vulnerability. On the other hand, the use of square root of the geometric mean led to a higher percentage of areas classified as having low and very low vulnerability.

These three qualitative models, based on a cognitive approach, using the set of parameters defined in this research, are a good tool for the spatial distribution of erosion in different mangroves in the world.

Global warming and climate change scenarios require adaptation and mitigation options supported by science-based strategies and solutions.