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This study aims towards developing a conceptual framework by systematically reviewing the available literature with reference to job crafting under the lens of an emerging economy from South Asia, i.e. India, which is the largest country and the largest economy in the South Asian region.

The study employs a hybrid methodology of a systematic literature review (SLR) and bibliometric analysis using VOSviewer and Biblioshiny. Bibliometric analysis provides glimpses into the current state of knowledge like-trend of publication, influential authors, collaboration with foreign authors, the major themes and studied topics on job crafting in India etc. Further, a detailed SLR of the selected articles led to the development of the conceptual framework consisting of the enablers and outcomes of job crafting.

It discusses implications for academia, business and society at large, and also provides valuable insights to policymakers and practitioners paving the way for better adoption, customization and implementation of job crafting initiatives.

Owing to its own unique social, cultural, and economic characteristics, the dynamics of job crafting in India may vary from other countries and regions which can also be reflective of how job crafting operates in South Asia in general. As job crafting was conceptualized and later evolved mostly in the western context, our study assumes greater significance as it is the first study which attempts to systematically review the job crafting literature to understand how job crafting manifests in the Indian context and presents a conceptual framework for the same.

The present study reviews the literature on the history and evolution of investment strategies in the stock market for the period from 1900 to 2022. Conflicts and relationships arising from such diverse seminal studies have been identified to address the research gaps.

The studies for this review were identified and screened from electronic databases to compile a comprehensive list of 200 relevant studies for inclusion in this review and summarized for the cognizance of researchers.

The study finds a coherence to complex theoretical documentation of more than a century of evolution on investment strategy in stock markets, capturing the characteristics of time with a chronological study of events.

There were complications in locating unpublished studies leading to biases like publication bias, the reluctance of editors to publish studies, which do not reveal statistically significant differences, and English language bias.

Practitioners can refine investment strategies by incorporating behavioral finance insights and recognizing the influence of psychological biases. Strategies span value, growth, contrarian, or momentum indicators. Mitigating overconfidence bias supports effective risk management. Social media sentiment analysis facilitates real-time decision-making. Adapting to evolving market liquidity curbs volatility risks. Identifying biases guides investor education initiatives.

This paper is an original attempt to pictorially depict the seminal works in stock market investment strategies of more than a hundred years.

This paper investigates the deterrence effect of development on crime against women in India. Specifically, the authors examine the deterrence effect of the composite development index, i.e. Human Development Index (HDI), along with other variables acting as development indicators such as women’s employment, the relative strength of women in the police force, urbanization, etc., on crimes against women.

This study adopts a fixed effect within-group (WG) panel regression model and pooled regression model on the data of 28 states over 20 years from 2000 to 2019. For checking the robustness of the results, the authors use the estimation from the system generalized method of moments.

The results confirm the deterrence effect of development as measured by the HDI and female labor force participation on various crimes against women. In addition, female feticide representing the socio-cultural attitude toward women turned out to be another significant determinant of almost all types of crime against women. Further, the study also finds the deterrence effect of variables such as police expenditure, the relative strength of women in the police force, urbanization and arrest rate on various crimes against women.

This research paper is unique because it tries to examine the deterrence hypothesis of development by taking a composite index of development, i.e. HDI and other variables at the state level in the Indian union.

This paper aims to study the religious tourism supply chain and understand and introduce resilience across the same to mitigate post-pandemic disruptions.

In this manuscript, a systematic literature review has been done to identify the gaps in the religious tourism supply chain, which gives adequate revenue to India but not studied yet. The identified gap shaped this study's objectives and research questions and guided the authors to devise a theoretical framework for the religious tourism supply chain.

The key findings of this research paper led to identifying both threats and opportunities for the religious tourism supply chain, which has been into existence and caused many disasters in the past. As pandemic Covid-19 shut the doors of these religious destinations for extended periods, it became necessary for governments, state authorities and private parties to think and devise the post unlock operating processes for this supply chain. This thinking directed the authors to create a framework for the smooth flow of people and other services across this supply chain. The collaborative efforts of all the stakeholders at various levels can realize the actual working of the suggested framework. A stagewise set of processes has been proposed to understand the resilience across the religious tourism supply chain and reduce disruptions.

Covid-19 pandemic has devastated the world economies and disrupted the supply chains of all sectors. The paper elaborates the need for cohesive efforts to introduce resilience across humanitarian supply chains and phase-wise processes to reduce the disruptions caused by various disasters. These systematic efforts will familiarize the readers with the need for resilience across the religious tourism supply chain. Still, it would also assist in generating revenue for the Indian government and reviving the economy soon.

The trade of religious tourism adds a significant contribution to the Indian economy in terms of revenue, employment, visibility of culture and destination, etc. The Covid-19 pandemic has immensely disrupted the tourism sector supply chain, resulting in huge losses (FICCI report 2020). The introduction and implementation of resilience across the religious tourism supply chain can diminish the losses and assist in reviving the economy soon. Construct of resilience across the religious tourism supply chain has not been studied yet. This manuscript contributes to identifying post-pandemic challenges across the religious tourism supply chain and ways to integrate resilience to reduce disruptions caused by disasters.

A flexible model which is based on a Triangular intuitionistic flexibility ranking and aggregating (TIFRA) operator is proposed for failure detection and reliability management in a Wind Turbine system. The model which is employed when there are limited research data and valid source of information, uses expert-based knowledge/opinion for failure detection and reliability management. The results from the study concludes that, the most important area affected by failure with respect to the failure criteria used, includes; oil level sensor tilt sensors for tower installation and accelerometers for tower sway (A₂), Pressure sensor for blade monitoring (A₃), and the Pitch actuator (A₄). The main advantage of the proposed method is that it provides advanced information about faults that identifies the intensity of the system behavior also; the method provides a more complete view of the reliability management and root cause of failure in the Wind Turbine (WT) system using the flexibility parameter in the model.

This study aims to explore the relationship between global unity and cultural diversity in an interconnected world, examining how globalization influences cultural exchange while preserving identities. Using hybrid thematic content analysis (HTCA), it reveals how cross-cultural collaboration can be fostered amid global challenges like climate change, health crises and technology. The research offers insights into integrating global efforts with local cultural nuances to create sustainable solutions. By bridging qualitative and quantitative approaches, it provides new perspectives on harmonizing global interconnectedness with cultural preservation in governance, technological innovation, diplomacy and education.

This research applied content analysis, thematic analysis and HTCA to examine global unity and cultural diversity. Content analysis highlighted key themes in international frameworks, whereas thematic analysis delved into elements promoting cultural preservation and adaptation. HTCA synthesized these insights, combining content-focused themes with broader cultural, economic and policy perspectives. Data sources included academic literature, international policy documents and case studies from UNESCO and regional cultural policies.

The findings reveal that while globalization drives global unity, cultural diversity remains crucial for preserving individual identities. Key themes include multiculturalism, cultural exchange, hybridization and resistance to homogenization. While globalization can erode local traditions, it also fosters cultural enrichment, seen in fusion cuisine, multilingualism and ethical fashion. The research identifies strategies for balancing global unity and cultural diversity, such as hybrid approaches to environmental sustainability, integrating cultural insights into global health and inclusive technological innovations like AI and virtual reality. It also highlights the role of institutions like UNESCO in promoting cultural diplomacy and the challenges in balancing global governance with cultural diversity.

This research is limited by its reliance on secondary data from policy documents and literature, without primary data from affected communities or policymakers. Future studies could incorporate interviews and surveys to gain first-hand perspectives. In addition, the geographic focus on documented globalization effects limits broader applicability; more inclusive case studies across diverse cultural contexts are recommended.

The study offers actionable insights for policymakers, educators and cultural leaders to promote inclusive cultural exchange and hybridization strategies. It emphasizes balancing globalization benefits with cultural heritage protection. Practical applications in education, health and technology should consider cultural differences for more inclusive and effective solutions, such as integrating global citizenship and cultural sensitivity in educational policies.

The study emphasizes how intercultural understanding and collaboration can enhance social cohesion in multicultural societies. It advocates for celebrating diversity, fostering cultural dialogue and promoting inclusive global policies to build peace and address global issues while maintaining diverse identities.

This study’s originality lies in its methodological triangulation, using HTCA as a novel approach to unify content and thematic insights. By integrating content analysis, thematic analysis and HTCA, this research offers a unique multidimensional analysis of global unity and cultural diversity, revealing how these aspects can coexist within globalization.

This study aims to introduce an image-based method to determine the processing window for a given alloy system using laser powder bed fusion equipment based on achieving the desired melting mode across multiple materials for powder-free specimens. The method uses a convolutional neural network trained to classify different track morphologies across different alloy systems to select appropriate printing settings. This method is intended for the development of new alloy systems, where the powder feedstock may be unavailable, or prohibitively expensive to manufacture.

A convolutional neural network is designed from scratch to identify the 4 key melting modes that are observed in laser powder bed fusion additive manufacturing across different alloy systems. To increase the prediction accuracy and generalisation accuracy across different materials, the network is trained using a novel hybrid data set that combines fully unsupervised learning with semi-supervised learning.

This study demonstrates that our convolutional network with a novel hybrid training approach can be generalised across different materials, and k-fold validation shows that the model retains good accuracy with changing training conditions. The model can predict the processing maps for the different alloys with an accuracy of up to 96% in some cases. It is also shown that powder-free single-track experiments are a useful indicator for predicting the final print quality of a component.

The “invariant information clustering” (IIC) approach is applied to process optimisation for additive manufacturing, and a novel hybrid data set construction approach that accounts for uncertainty in the ground truth data, enables the trained convolutional model to perform across a range of different materials and most importantly, generalise to materials outside of the training data set. Compared to the traditional cross-sectioning approach, this method considers the whole length of the single track when determining the melting mode.

Switching behavior is predominantly seen in the consumer buying behavior of the mobile industry. This research aims to identify the factors influencing consumers to switch from their present mobile service provider. The consumer of the mobile industry operates in a dynamic and ever-changing environment that is difficult to predict, so this paper aims to focus on these issues.

The selection of factors was made with the help of qualitative study and quantitative research methods for further findings; with the help of a structured questionnaire, a total of 514 valuable responses were collected to get the results. Exploratory factor analysis (EFA), confirmatory factor analysis (CFA) and structural equation modeling (SEM) were used to analyze the data.

The finding shows that technology and edge-on-competition (TEC) and pricing have a negative influence on customer switching behavior. The switching cost (SC) is the most significant factor and has a positive impact, while service encounter failure (SEF) also positively impacts switching behavior.

The findings provide important implications for consumers switching brands if they are finding alternative offers that are cost-effective and SEF from service providers

The study of one of the largest mobile markets is learning lessons for other markets around the world. This study will be helpful for mobile service provider companies in their branding and marketing strategies. This study will also be helpful to practitioners, educators and researchers in understanding the consumer behavior of mobile users.

The learning of the largest mobile market will be a great learning lesson for other mobile markets around the world. Consumer behavior will help marketers follow ethical practices and make their strategy so a consumer does not switch brands and remain satisfied with the existing brand.

The study provides unique learning for practitioners, educators and researchers to understand the consumer behavior of mobile users. This will help marketers create factors that stop consumers from switching brands and develop strategies to retain customers.

The purpose of the study was to develop a powder shampoo with antioxidant attributes.

Dry shampoo compositions were formulated containing alpha olefin sulfonate (AOS), sodium cocoyl isethionate (SCI), microcrystalline cellulose, mannitol, carboxymethyl cellulose, maltodextrin and sodium benzoate with or without extract of Cinnamomum zeylanicum bark. Cinnamon extract was chosen for this study owing to its ubiquitously known antioxidant attributes. The formulations were tested for detergency action and antioxidant potential in vitro.

Cinnamomum zeylanicum extract exhibited noticeable antioxidant activity in vitro. The authors observed that addition of the bark extract to the shampoo formulation was associated with remarkable increase in total phenolic content, total antioxidant activity and radical scavenging activity without any effect on detergency action.

This preliminary study provides a powder shampoo formulation which exhibits antioxidant attributes as a result of incorporation of cinnamon bark extract. Clinical efficacy of the formulation remains to be tested.

Owing to the powder format of the shampoo, the formulation can be manufactured with ease and economically. Functionalizing the formulation with enhancement of antioxidant activity by incorporation of cinnamon bark extract may be associated with beneficial clinical outcomes, which remains to be tested.

The proposed formulation may be stored and sold in eco-friendly packing material, thus could pave the way for reducing the burden of plastic consumption by the shampoo industry.

The present work demonstrates that incorporation of cinnamon bark extract to a powder shampoo formulation, containing AOS and SCI as principle surfactants, significantly enhances its antioxidant attributes.

The objective of the study is to investigate the factors that differentiate long-term shareholder value (LTSV) creating firms from LTSV destroying firms.

Through the review of literature, the hypothesis for the study is developed. To test the hypothesis, the study collects data from S&P BSE 500 companies listed in Bombay Stock Exchange (BSE). Based on the average overall return to shareholders for the period from year 1991 to 2019, the study identifies top 25 LTSV creating and LTSV destroying firms. The top 50 firms form the basis of this study. The study uses descriptive statistics and independent sample t-test to test the hypothesis of the study.

Among the variables investigated such as capital management policy and effective capital management practices, business and financial strategy, intellectual capital strategy, relational capital strategy and human capital strategy, the study found effective capital management and governance as a long-term source of value for shareholders.

The study highlights the importance of inclusion of value-relevant information in the annual report of the company. The study also supports the proposition that discretionary disclosure of intangible assets is relevant for the market to enable market participants to reasonably comprehend the fair value of the firm.

Adoption of a reporting framework that ensures the availability of all value-relevant information including off-balance-sheet resources is in the interest of the investors and policymakers alike.

This is a first such study exploring the value-relevant information and the source of long-term value for listed firms.