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This study aims to analyse the variations of thermal comfort inside a building space by using different curtains.

Phase change materials (PCMs) such as wax, sand and mixture of sand and wax were used with cotton curtain to compare the results of PCM curtains with the performance of normal cotton curtain against constant heat exposure. Heat exposure was provided with halogen to simulate the solar radiation. Further simulation was performed on ANSYS and experimental results were compared with the simulation results. In addition to this, the results were analysed for optimized performance by calculation root mean square error.

It was found that PCM used curtains that have better performance than normal curtain. Furthermore, sand curtain was proved as the best curtain and mixture of sand and wax curtain could replace the sand curtain where there is limitation of weight; also, there was less error between experimental and simulation was reported for sand curtain as compare to other curtains.

Layers of different PCMs were used before cotton curtain and in modelling assumptions such as one-dimensional heat transfer, uniform thermal conductivity.

To the best of the authors’ knowledge, there is no such study that was performed earlier.

This study aims to identify the antecedents of strategic thinking and its relationship with competitive advantage. Further, this study analyses the mediating effect of strategic thinking between its antecedents and competitive advantage.

A self-reported questionnaire with 51 questions was floated among 220 professionals from various industries in India. The response was analysed using the partial least squares-structural equation modelling methodology using SmartPLS software.

The direct effect of creativity, corporate culture and knowledge management are established with strategic thinking, as well as a competitive advantage. Also, the study finds a significant relationship between strategic thinking and competitive advantage. The study finds no mediation (direct effect) in the case of creativity, corporate culture and knowledge management. Further, no mediation (no relationship) is found in the case of vision.

Business must start adopting strategic thinking practices in their decision-making process to create a competitive advantage. Further, the influence of corporate culture, creativity and knowledge management on strategic thinking highlights their importance.

The study establishes the impact of antecedents of strategic thinking on competitive advantage. The study highlights the importance of other factors along with strategic thinking for achieving competitive advantage.

While being integrated together conceptually and practically, the literature on game theory in the context of financial markets lacks a cohesive understanding. This study aims to systematically scrutinize and analyse the literature of game theory in the context of financial markets, through a systematic literature review.

A systematic literature-based approach, through the theories, context, characteristics and methodology (TCCM) framework has been applied to 97 articles, extracted and filtered from two databases, Scopus and Web of Science, for a comprehensive review and understanding of the intellectual development in the domain of game theory and financial markets.

The review highlighted the most utilitarian theories within the literature, the context of research in terms of countries and industries, four themes which characterize the literature, as well as the methodologies and research designs used in this research domain. The paper also uncovered certain essential areas that present scope for further research.

While two of the largest indexation databases have been used, some relevant articles may have been excluded due to the restriction of databases and screening criteria, which may lead to the less exploration of several facets of the domain.

Practically, the paper has implications for multiple stakeholders including traders, businesses and governments. For traders, this paper acts as a guide to entering and understanding the dynamics of financial markets. The review also covers decision-making from the perspective of firms, including venture capitalists. This paper would allow firms to understand how game theory can help influence or analyze the strategic interactions between their stakeholders in terms of information disclosure, or consumers and their behavior to stimuli from the firm’s actions.

To the best of the authors’ knowledge, this study is the first of its kind that attempts to comprehensively provide an overview of the literature on game theory in financial markets. In doing so, this study shall help assess the current state of knowledge in the said field and locate gaps in the literature to propose new research directions.

The purpose of this study is to recognise the role of information and communication technology (ICT) tools in different sectors like Education, Health Care, Business, FMCG and Entertainment in the phase of social distancing. This study also attempts to provide a quantitative review of the scholarly literature on this topic.

A comprehensive literature evaluation was undertaken using a database encompassing 150 English-language papers with publication dates ranging from 2019 to 2021. The research profile and thematic analysis are presented through a comprehensive content analysis, resulting in four themes. The study reviews various research articles and reports related to social distancing and opens a discussion on the growing importance of ICT tools during this COVID-19 era.

ICT acts as a surviving tool for the economy by creating a virtual environment and helping people to stay socially connected during this pandemic. There is a lack of empirical evidence to support the facts so further research is required.

There are two drawbacks to the current study. Firstly, this study established a rigorous review methodology in which the researchers opted to exclude any grey literature, non-peer-reviewed articles, books, notes and book chapters from consideration. These sources could have had pertinent literature. Secondly, even after protocol’s rigour and numerous rounds of checks by a team of academicians and researchers, an anomaly may have sneaked into the evaluation.

The current study contributes to the growing literature on ICT tools particularly in this phase of social distancing. This paper highlights the need for future research in this area supported by different statistics.

With the rise of social media platforms, an increasing number of cases of cyberbullying has reemerged. Every day, large number of people, especially teenagers, become the victim of cyber abuse. A cyberbullied person can have a long-lasting impact on his mind. Due to it, the victim may develop social anxiety, engage in self-harm, go into depression or in the extreme cases, it may lead to suicide. This paper aims to evaluate various techniques to automatically detect cyberbullying from tweets by using machine learning and deep learning approaches.

The authors applied machine learning algorithms approach and after analyzing the experimental results, the authors postulated that deep learning algorithms perform better for the task. Word-embedding techniques were used for word representation for our model training. Pre-trained embedding GloVe was used to generate word embedding. Different versions of GloVe were used and their performance was compared. Bi-directional long short-term memory (BLSTM) was used for classification.

The dataset contains 35,787 labeled tweets. The GloVe840 word embedding technique along with BLSTM provided the best results on the dataset with an accuracy, precision and F1 measure of 92.60%, 96.60% and 94.20%, respectively.

If a word is not present in pre-trained embedding (GloVe), it may be given a random vector representation that may not correspond to the actual meaning of the word. It means that if a word is out of vocabulary (OOV) then it may not be represented suitably which can affect the detection of cyberbullying tweets. The problem may be rectified through the use of character level embedding of words.

The findings of the work may inspire entrepreneurs to leverage the proposed approach to build deployable systems to detect cyberbullying in different contexts such as workplace, school, etc and may also draw the attention of lawmakers and policymakers to create systemic tools to tackle the ills of cyberbullying.

Cyberbullying, if effectively detected may save the victims from various psychological problems which, in turn, may lead society to a healthier and more productive life.

The proposed method produced results that outperform the state-of-the-art approaches in detecting cyberbullying from tweets. It uses a large dataset, created by intelligently merging two publicly available datasets. Further, a comprehensive evaluation of the proposed methodology has been presented.

Iron deficiency anemia (IDA) is the most common nutritional anemia in the world and a pervasive health problem, especially in developing countries. Children under two years of age are more prone to be affected by IDA. The best strategy to prevent and treat IDA is to use iron supplements. This study aims to examine the factors associated with noncompliance (such as non-utilization or inconsistent usage) of iron drop supplementation among infants between 6 and 24 months old.

Online databases (PubMed, Scopus and SID) were searched to retrieve relevant articles published from inception up to July 2023. Among the 2,177 articles detected, after removing duplicate and irrelevant titles, 21 cross-sectional studies that met the authors’ inclusion criteria were included. Screening for articles and data extraction were conducted separately by two researchers.

The findings suggest that some factors related to mothers, such as education, knowledge, attitude and performance; some factors associated with child such as child’s gastrointestinal and dental complications; taste and smell of iron drops; and birth order and gender are the main determinants of adherence to iron supplementation.

It can be proposed that the most significant factors affecting the feeding of iron drops to children under the age of two include: the level of mother’s awareness, socio-economic status of the household and the occurrence of digestive complications following the supplementation. Given these observations, adopting proper policies toward improving the nutritional awareness of mothers and producing iron supplements with minimal side effects seems crucial.

This case uses concepts from Korten’s strategies of development-oriented four generations of non-government organizations (NGOs) and social psychology such as stereotypes, prejudices and actions to explain the social phenomenon. In furtherance, the case presents Aristotle’s approach to creating a message for masses that include use of ethos, pathos and logos. Stood’s (2017) narrative, engagement and technology (NET) model of social leadership was used to analyse the characteristics of social leaders.

Prima facie the case was developed from primary sources i.e. interviewing with Ashish Thakur. Literature from secondary sources was obtained to make teaching notes. List of references is presented towards the end that depicts the use of textbooks, research papers, websites and blogs. This case was tested in the classroom with MBA students learning business communication.

The case dealt with the challenges of an NGO that included conducting respectful last rites of unclaimed dead bodies. As the NGO grew, Ashish Thakur, the initiator of Moksh started facing resource management challenges, namely, volunteer induction, fundraising and managing non-human resources. These issues are deeply embedded in several social stereotypes about dead bodies. Learning covers strategies of four generations of NGO development, a NET model of social leadership, breaking social stereotypes related to dead bodies and last rites (necrophobia), designing social communication and opportunity to assess faulty rationalizations and do critical thinking around the socio-religious practices.

This case is intended to be used for the students of the social leadership or social entrepreneurship, social psychology, business communication or communication skills, organizational behaviour, advertising and social media.

The Indian government is grappling in generating sufficient revenue resources through taxation to meet their expenditure on public goods and services. Therefore, the government authorities must possess adequate information on factors affecting the taxation revenue of the country to craft and execute policies effectively. Hence, this study endeavors to explore the determinants of tax revenue by incorporating conventional, economic policy and institutional factors.

The study employed the Auto Regressive Distributed Lag (ARDL) modeling by using the data set from 1991 to 2022 according to the availability of the data.

The findings illustrate that trade openness, life expectancy, value added by the manufacturing sector and per capita GDP (Gross domestic Product) positively affect the tax efforts of the government in the conventional determinants. Similarly, in economic policy factors, the financial deepening also exhibits a favorable effect. Conversely, the inflation rate positively boosts the tax efforts in the short run, but it ultimately erodes the tax effort of the government in the long run. In the institutional factors, the official development assistance also illustrates a positive effect.

The findings assert that the Indian government should devise better macro-economic and foreign trade policies with expediting the economic restructuring and bolstering their ability to manage and utilize the foreign aid assistance to boost the tax revenue of the country.

To the authors’ knowledge, this is the first study to incorporate these factors in the Indian context.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-04-2024-0314

The readers will gain practical insights on the key attributes of a women entrepreneur, the role of innovative product design and usage, the core challenges and opportunities and the strategies to overcome entrepreneurial hurdles in the Moonj handicraft business.

The case is about “Rekhaakriti”, a handicraft artisan-oriented firm, which deals in the business of selling handicrafts items like traditional wooden toys, Moonj baskets, rice bowls and vermilion boxes, in both business-to-business (B2B) and business-to-consumer (B2C) markets. Incorporated as a non-governmental organization (NGO) in the year 2014, “Rekhaakriti” was founded with the purpose of preserving, promoting and advancing the Moonj handicraft. Throughout its formative years, the organization experienced several organizational and operational challenges and got almost on the edge of collapse. The dilemma that surrounded Rekha Sinha, a key founding member of “Rekhaakriti”, was whether to carry or dissolve the organization. But, after much contemplation, she decided to convert the organization to a sole proprietorship firm in the year 2017. However, the restructuring decision was also proving to become less effective in attaining the objectives for which the firm got established. This led the owner, Rekha Sinha, to further dug deep to identify obstacles (both internal and external) that impede her firm’s expansion and growth. This case narrates Rekha Sinha's intricate entrepreneurial path in building an innovative handicraft organization and explains how she overcame the overall organizational and operational obstacles. The case provides the context for students to assume the role of protagonist and explore creative strategies for overcoming market obstacles through upskilling, design intervention and product innovation.

The case study is intended for the students pursuing their graduation and post-graduation courses in business, management studies, marketing and entrepreneurship. The case also provides suitable insights to management trainees and executives.

Teaching notes are available for educators only.

CSS 8: Marketing.

This paper aims to investigate the gas-sensing capability of Pd/TiO₂/Si MIS capacitor using capacitance versus gate voltage (C-V) response as a function of hydrogen gas concentration varying from 0.1 to 2 ppm at 300 kHz frequency.

The objective is to fabricate a metal–insulator–semiconductor (MIS) capacitor sensor based on TiO₂-thin-film insulator deposited by sol-gel spin-coating process. Gas-sensing signal derived on exposure to hydrogen with concentration varying from 0.1 to 2 ppm at different operating temperatures (room temperature to 1,500°C) was measured as variation in flat-band voltage in C-V characteristics of the MIS capacitor.

High sensitivity of the sensor is attributed to the large change of interface state charges because of the large surface-to-volume ratio of the nano-structured TiO₂. The values of response time as well as the recovery time have also been estimated and are found to be comparable to that observed in the case of conventional Metal Oxide Semiconductor (MOS) structure.

The use of Si substrate restricts the performance of gas sensors to 200°C, as the Si substrate begins to show conductive nature.

This paper deals with an MIS capacitor gas sensor which replaces conventional insulating material by TiO₂ and uses a high-quality fabrication procedure for controlled growth of novel surface structure.