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Stock markets are essential for households for wealth creation and for firms for raising financial resources for capacity expansion and growth. Market participants, therefore, need an understanding of stock price movements. Stock market indices and individual stock prices reflect the macroeconomic environment and are subject to external and internal shocks. It is important to disentangle the impact of macroeconomic shocks, market uncertainty and speculative elements and examine them separately for prediction. To aid households, firms and policymakers, the paper proposes a granular decomposition-based prediction framework for different time periods in India, characterized by different market states with varying degrees of uncertainty.

Ensemble empirical mode decomposition (EEMD) and fuzzy-C-means (FCM) clustering algorithms are used to decompose stock prices into short, medium and long-run components. Multiverse optimization (MVO) is used to combine extreme gradient boosting regression (XGBR), Facebook Prophet and support vector regression (SVR) for forecasting. Application of explainable artificial intelligence (XAI) helps identify feature contributions.

We find that historic volatility, expected market uncertainty, oscillators and macroeconomic variables explain different components of stock prices and their impact varies with the industry and the market state. The proposed framework yields efficient predictions even during the COVID-19 pandemic and the Russia–Ukraine war period. Efficiency measures indicate the robustness of the approach. Findings suggest that large-cap stocks are relatively more predictable.

The paper is on Indian stock markets. Future work will extend it to other stock markets and other financial products.

The proposed methodology will be of practical use for traders, fund managers and financial advisors. Policymakers may find it useful for assessing the impact of macroeconomic shocks and reducing market volatility.

Development of a granular decomposition-based forecasting framework and separating the effects of explanatory variables in different time scales and macroeconomic periods.

This paper will try to uncover how e-learning is giving a new shape to the education industry. Also, it will encompass the students' perspective and experience of e-learning.

The present study employed interpretative phenomenological analysis (IPA) to intensely scrutinize the lived-in experiences of the participants. In the present study, the respondents were selected from Delhi NCR of India. Semi-structured interviews were conducted to collect the primary data to understand the student's perspectives on the impact of information and communications technology (ICT) in education industry.

The findings have been grouped under two sections referred to as “themes,” which include “drivers for e-learning adoption” and “inhibitors which restrict the adoption of e-learning.”

At present, India does not have a big market for e-learning, but there is huge potential in the country. The present study may be helpful for the educational institutions in India and in similar developing countries in understanding the students' perspectives on e-learning adoption. The educational institutions may improve their systems accordingly so that they can not only retain the students of their own countries but also attract students from other countries for further education.

E-learning can be employed to give users quick access to ideas and experiences from a wide range of people, communities, and the cultures to increase the tangibility.

The study will be useful to the policymakers in the higher education sector of developing nations like India, in understanding the students' mindsets. This study makes a contribution to the growing literature on e-learning, where the researchers have determined the relative importance of various motivating and inhibiting factors which influence the adoption of e-learning. Additionally, the study has used IPA as the methodology to determine the factors, which is a novel contribution.

The purpose of the current manuscript is to investigate the reflection of plane waves in a rotating, two-dimensional homogeneous, initially stressed, nonlocal orthotropic thermoelastic solid half-space based on dual-phase-lag model.

The reflection phenomenon has been utilized to study the effects of initial stress, rotation and nonlocal parameter on the amplitude ratios. During the reflection phenomenon three coupled waves, namely quasi displacement primary wave (qP), quasi thermal wave (qT) and quasi displacement secondary wave (qSV) have been observed in the medium, propagating with distinct velocities. After imposing the suitable boundary conditions, amplitude and energy ratios of the reflected waves are obtained in explicit form.

With the support of MATLAB programming, the amplitude ratios and energy ratios are plotted graphically to display the effects of rotation, initial stress and nonlocal parameters. Moreover, the impact of anisotropy and phase lags is also observed on the reflection coefficients of the propagating waves.

In the current work, we have considered rotation and nonlocality parameters in an initially stressed orthotropic thermoelastic half-space, which is lacking in the published literature in this field. The introduction of these parameters in a nonlocal orthotropic thermoelastic medium provides a more realistic model for these studies. The present work is valuable for the analysis of orthotropic thermoelastic problems involving rotation, initial stress and nonlocality parameters.

This research aimed to capture undergraduate students' experiences in the transition from face-to-face (F2F) learning to online learning. This study explored their perceptions regarding the effectiveness of online learning in their academic lives, challenges encountered and suggestions for enhancing online learning in the post-COVID-19 era.

This study employed a concurrent mixed-methods research design and selected 118 undergraduate students using a multistage random sampling technique from four colleges in Assam. Standardized questionnaires and open-ended interview schedules were used.

Undergraduate students reported a positive attitude and satisfaction with online learning, valuing its adaptability to their schedules, its role as a motivating factor for self-learning, its effect on making them more technically proficient and enhancing their communication skills to articulate their thoughts. However, the challenges identified by the students have the potential to overshadow the promises of online learning. This research provided more constructive suggestions under the themes of “content delivery”, “systemic and infrastructural issues”, “pedagogy” and “capacity building” to enhance their experiences with online learning.

Our research findings would assist educational institutions in adopting innovative approaches for simpler and more efficient online learning experiences post-COVID-19 pandemic. Institutions should prepare themselves and design dual-mode courses for F2F and online learning.

The paper addressed a relevant topic in this era of online learning by examining undergraduate students’ viewpoints that added complementary information to the current body of literature on online learning in rural India. The insights gleaned from their experiences would be beneficial for the development of best practices for online learning in the coming decades.

This paper aims to examine why people with disabilities (PWDs) are at risk due to climate change. It also discusses the linkage between climate change events and the mental health of the disabled population.

This paper follows a qualitative approach.

Climate change can affect the mental well-being of PWDs in several ways such as increased vulnerability, displacement-related trauma, social isolation, loss of independence, climate anxiety and eco-grief.

The paper has practical implications for policymakers. Because climate change has a disproportionate impact on PWDs, there is an urgent need to include them in climate action, both as beneficiaries and decision-makers.

The paper attempts to explore the measures that can be taken for prevention and mitigation of impacts on the mental health of PWDs.

This study aims to review the extant literature in pharmaceutical sector on corporate social responsibility (CSR), sustainability and organizational performance to explore if a relationship exists among these three elements.

A total of 301 research articles were collected from online databases. A new ECG framework representing environment, community and growth was used to classify the collected literature under the three elements: CSR, sustainability and organizational performance.

Key findings under the identified categories are: A) Environment: Strict legislation and green chemistry have revolutionized the pharmaceutical sector by decreasing manufacturing costs, minimizing the environmental footprint and improving compliance with regulations. B) Community: Community goodwill and organization’s image have gained importance under the influence of external and internal stakeholders. C) Growth: A weak relationship exists between CSR and organizational performance but increases engagement in sustainability practices which has led to increased market performance. Effective integration of social and environmental goals with strategic business processes could result in long-term profits.

This study focuses on the extant literature to identify the significance of CSR and sustainability on the organizational performance of the pharmaceutical sector. The propositions developed in this study will help in identifying the interdependency of the aforementioned three elements opening further possibilities of in-depth sector specific studies.

The case is intended to assist students to:1. understand the customer’s purchase decision with reference to channel values;2. evaluate and assess the channel strategy using conventional and digital channels; and3. design the channel strategy for start-ups in emerging markets.

The subject area for this teaching case was marketing management. The teaching case could be used for the undergraduation and graduation levels of students. The case was about the marketing channel strategy of a small start-up boutique called Chirmi in India, with the theory of consumption values explained. In this case, primary data was taken directly from Chirmi, whereas secondary data for market analysis was taken from various reports, articles and other sources. Because the owner provided the records and documentation, the account was therefore substantiated by the collected first-hand information. The case uses quantitative methods to make students understand the channel arithmetic and consumption values of all the channels used by Chirmi.

In the course of core marketing classes at the undergraduate and graduate levels, this case may be used. The case addresses the channel structure, including wholesaling, retailing and e-commerce. Distribution channel management, the theory of consumption values and e-commerce marketing management are explained. Evaluation of channel strategy, design, implementation and management is emphasized.

Teaching notes are available for educators only.

CSS: 8: Marketing.

The purpose of this study is to assess the quality of honey from different agro-climatic zones of Himachal Pradesh in terms of physicochemical characteristics and mineral status.

Three honey-producing locations were selected within each agro-climatic zone, honey sampled from four separate apiaries within each location and analyzed for physicochemical characteristics and mineral status using standard methodologies. The data were analyzed using one-way analysis of variance with one-way classification, after appropriate transformation through online OP-STAT software and MS Excel. The correlation coefficient (r) was also calculated. Principal component analysis was done using XL-STAT software.

The honey of Zone 4 had highest fructose (36.62%), F:G ratio (1.55), acidity (46.07 meq/kg), vitamin C (25.04 mg/100 g) and diastase (19.22 DN), whereas the pollen density (76,666.67 pollen grains per 10 g), pH (5.94), sucrose (6.94%), hydroxy methyl furfuraldehyde (70.20 mg/kg), amino acid (103.83 mg/100 g), phenols (77.39 mg/100 g), Ca (81.04 mg/kg) and K (354.17 mg/kg) were highest for Zone 2. Highest electrical conductivity (0.24 mS/cm), moisture (16.50 %), glucose (34.20%) and P content (62.93 mg/kg) were recorded for Zone 1. Correlation studies indicated a significant positive correlation between pH and EC; EC and moisture; colour and pollen density. Examining the graphical distribution of the honey samples, a natural separation between honeys of four different agro-climatic zones was obtained.

The impact of geographical/agro-climatic variations in physicochemical characteristics of honey has not been worked out under the present scenario in Himachal Pradesh.

The paper aims to address the gap in literature on effective disaster governance in Southeast Asia, with a focus on COVID-19 management in Malaysia. It explores the intersection of localized hazard understandings, disaster governance and policy implications, emphasizing systemic vulnerability, resilience enhancement and improving risk communication and resource management. The goal is to offer insights and frameworks for policymakers, researchers and practitioners to navigate disaster governance complexities in Southeast Asia, marked by unique challenges and vulnerabilities.

The study employs an analytical descriptive methodology, involving a comprehensive literature review of academic articles, official reports and case studies related to disaster governance in Malaysia. It focuses on evaluating Malaysia's disaster governance's adaptability, inclusivity and coordination, considering policy implementation, stakeholder engagement and resource allocation. This approach facilitates a detailed analysis of the effectiveness of Malaysia's strategies in integrating environmental and health disaster management systems.

The findings reveal that Malaysia's disaster governance, particularly during COVID-19, has been challenged by the need for rapid adaptation and coordination. While early lockdowns and a robust vaccination program were effective, they also highlighted issues in healthcare system capacity and socioeconomic impacts. The study emphasizes the importance of integrated, resilient disaster management strategies that consider public health, environmental risks and socio-economic factors. It underscores the need for improved stakeholder collaboration, infrastructure resilience and climate change mitigation in disaster governance.

The research is limited by a lack of specific data on Malaysia's unique socio-cultural, economic and political dynamics in disaster response. This gap hinders the development of nuanced, context-specific policies and practices for effective disaster governance, emphasizing the need for more region-focused studies.

The study highlights the need for Malaysia to develop more resilient, integrated disaster governance frameworks, emphasizing local community empowerment, sustainable infrastructure and climate change mitigation. It calls for enhanced regional cooperation in Southeast Asia for effective disaster preparedness and response.

The research suggests that disaster governance should prioritize social resilience and inclusivity, addressing the varying impacts on different societal segments. Emphasis on mental health, community engagement and equitable resource distribution is vital for comprehensive disaster management and societal well-being in Southeast Asia.

This paper uniquely contributes to the understanding of disaster governance in Southeast Asia by combining empirical research and systematic reviews focused on Malaysia. It offers a novel perspective on integrating environmental and health disaster management, highlighting systemic vulnerabilities and resilience strategies. The study's value lies in its emphasis on the region's unique challenges, providing valuable insights for policymakers, researchers and practitioners in developing effective, context-specific disaster governance frameworks in Southeast Asia.

Eri is a short-stapled fibre that possesses an excellent soft feel and warmness to the wearer. Investigation of thermal comfort and moisture properties of Eri silk fabric provides the enhanced commercial scope for Eri silk-based clothing.

To examine the impact of process factors on thermal and moisture properties, three different single knit Eri silk structures were made, each with a different loop length and yarn count. Three different linear densities of Eri silk spun yarn (15, 20 and 25 tex) were selected. Three distinct knitted constructions, including plain jersey, popcorn and cellular blister, were created, along with two different loop lengths.

The novel cellular blister structure has shown appreciable thermal comfort properties than the other two structures. Yarn fineness and loop length were significant with most of the thermal comfort properties.

In recent times the Eri silk production is completely domesticated, so the new demand can easily be met by the producers. This research will create a new scope for Eri silk fibres in sportswear and leisure wear.

This study was conducted to explore the influence of knit structure, loop length and yarn count on the thermal comfort properties of the clothing.