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The purpose of this study is to examine the influence of employees' perceptions of organizational justice on workplace incivility and work withdrawal behaviours within the hotel industry. Additionally, the study aims to explore the mediating role of incivility in the relationship between organizational justice and work withdrawal behaviour.

Data for this study were collected from 213 employees in the hotel industry using a structured questionnaire. The collected data were then analysed using structural equation modelling (SEM) technique, allowing for a comprehensive examination of the relationships between organizational justice, incivility and work withdrawal behaviour.

The study reveals that perceptions of organizational justice directly impact workplace incivility and indirectly affect work withdrawal behaviour. Specifically, low perceptions of organizational justice are associated with increased incidences of uncivil behaviour among employees, which, in turn, have detrimental effects on their work withdrawal behaviours.

This study contributes to the existing literature by shedding light on the intricate relationships between organizational justice, workplace incivility and work withdrawal behaviour within the hotel industry context. Moreover, it highlights the importance of addressing both organizational justice perceptions and incivility to foster positive employee outcomes and organizational well-being, particularly in environments characterized by changing contextual conditions.

The purpose of this study is to examine the dark side of instant messaging from the technological and societal perspectives.

With the help of literature review and different theories, a model has been developed conceptually. Later the model has been validated using statistical method. The authors have used 304 responses from the survey method, and this sample has been used to statistically validate the conceptual model.

This paper has been able to explicitly investigate and identify how different instant messaging platforms such as WhatsApp, WeChat in the form of electronic word of mouth (e-WOM) are contributing toward increase of mob lynching cases. The paper also highlights the important to have effective and enforceable regulation to regulate instant messaging services to the citizens.

The findings cannot be generalized as the data is collected from India only. Moreover, the study is cross-sectional in nature. To get the comprehensive results, a longitudinal study needs to be conducted. This study considered seven constructs with one moderator. Having more predictors with other boundary conditions might have increased the explanative power of the model.

Instant messaging platforms such as WhatsApp, WeChat and so on are disseminating quick unverified information to the common people. This information sometimes is disseminated in inappropriate and exaggerated forms. This makes the instant messaging (WhatsApp) users' sentiment readily heated in some cases. They take such an action as mob lynching. This study determines the predictors of mob lynching along with the moderator impact of instant messaging in the society.

There are only a few studies those have explored the dark side of instant messaging. The proposed theoretical model is a unique model, which shows the predictors of mob lynching along with the negative consequences of the instant messaging (WhatsApp) in the society. From this perspective, this study can be considered as a unique study.

Kaleidofin was co-founded in 2017 by Puneet Gupta and Sucharita Mukherjee; former CFO and CEO of IFMR (Institute for Financial Management and Research) Holdings Pvt Ltd. As part of their roles at IFMR, Gupta and Mukherjee focused on designing products and developing technology to push for financial inclusion. In their field interactions, the co-founders had an epiphany of the challenges faced by people while trying to save towards important life goals. They saw an opportunity in the large segment of financially under-served people in India and quit their jobs to start Kaleidofin. Kaleidofin was conceptualised as a digital platform that offers customised financial solutions to help customers meet their life goals. The start-up partnered with mutual fund companies for solutions on one hand and network partners (NGOs, microfinance organizations, cooperative banks) on the other for access to their existing customers.

Kaleidofin grew from 50 customers in January 2018 to 15,000 customers by March 2019. Aiming to grow to 1 million customers in the next 30 months Kaleidofin faces a dilemma about its future course. The start-up could continue to grow by expanding its current target segment which is the low-income households and preserve its vision at the risk of increasing costs. The second option would be to look at other potential target segments, such as, middle-income households and risk diluting their vision. The case study highlights the unique customer-centric model of Kaleidofin and the need for start-ups to understand the value proposition of their products/services.

The purpose of this paper is to predict a suitable paper substrate which has high capillary pressure with the tendency of subsequent fluid wrenching in onward direction for the fabrication of microfluidics device application.

The experiment has been done on the Whatman^TM grade 1, Whatman^TM chromatography and nitrocellulose paper samples which are made by GE Healthcare Life Sciences. The structural characterization of paper samples for surface properties has been done by scanning electron microscope and ImageJ software. Identification of functional groups on the surface of samples has been done by Fourier transform infrared analysis. A finite elemental analysis has also been performed by using the “Multiphase Flow in Porous Media” module of the COMSOL Multiphysics tool which combines Darcy’s law and Phase Transport in Porous Media interface.

Experimentally, it has been concluded that the paper substrate for flexible microfluidic device application must have large number of internal (intra- and interfiber) pores with fewer void spaces (external pores) that have high capillary pressure to propel the fluid in onward direction with narrow paper fiber channel.

Surface structure has a dynamic impact in paper substrate utilization in multiple applications such as paper manufacturing, printing process and microfluidics applications.

Women's empowerment is a crucial gender issue and more so in developing countries. Women's empowerment has far-reaching consequences at individual, household, societal and global levels. In this study, the authors focus on the effect of their childhood and pre-marriage conditions on the present level of empowerment in the rural setting in the southern part of India controlling for relevant variables.

This study is based on the primary data collected from 700 women in southern India's villages. The authors used chi-square to understand the bivariate association between the level of women's empowerment and their socio-economic characteristics including their pre-marriage conditions. Further, multiple regression was used to find out the association between her pre-marriage characteristics and empowerment.

The study finds a positive association between mothers' education on their daughters' empowerment. Freedom of movement during childhood also had a positive relationship with the current level of empowerment. The study finds a positive effect of self-esteem and self-efficacy on women's empowerment. The authors also found that property in their names and knowledge about their legal rights were associated with higher empowerment. Other important indicators related to higher women's empowerment are household assets and their employment.

To the best of the authors' knowledge, this study is a unique attempt to study the effect of conditions before marriage on women's empowerment, especially in the Indian context. The study looks into the relationship between childhood conditions of women in a rural set up including their parents' education and jobs, discrimination faced and upbringing conditions and their current level of empowerment.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-05-2022-0329

This paper aims to develop a comprehensive typology of organizational transformations that is based on both content and process characteristics of transformations, and it is relevant to organizations in India.

Through a review of literature, 17 different features/elements of organizational transformations were identified and organized into three dimensions – object, magnitude and speed of transformation – to develop a foundational framework of transformations. Through a comprehensive search of publicly available information, 52 cases of organizational transformations between 1991 and 2011 were identified. A case report for each transformation was then prepared and examined to identify elements of each transformation by referring to the foundational framework. Transformations were then classified into different types using cluster analysis, with elements as variables and cases as objects to be clustered.

Nine distinct types of transformations were found. They were named quickfixer, extender, healer, evolver, peripheral, recurrent, methodical, internal and cultivator based on each case’s characteristics as captured in case reports.

This study brings together transformation characteristics that have been largely considered distinct in literature to develop a comprehensive typology that depicts the complexity of organizational transformations. This is also one of the first studies to develop a typology of transformations that is based on and thus relevant to organizations in India.

Coronavirus disease 2019 is one of the novel diseases formed by a dreadful virus called Severe Acute Respiratory Syndrome Coronavirus 2. Various countries are affected by this viral disease, and many countries declare a lockdown with several rules and conditions. To prevent this rapid viral transmission, various researchers have introduced different mobile applications. This paper aims to study issues like viral transmission, mortality rates, vaccination rates, etc. and also provides suitable solutions based on the statistical analysis with the assistance of the Six-Sigma Define-Measure-Analyse-Improve-Control (DMAIC) concept.

Statistical analysis is done for different countries, and the required solutions are provided by using the DMAIC procedure. This application has the ability to represent the current risk status of the user and notify them to secure themselves.

The proposed work suggests the Aarogya Setu application to prevent large viral transmission by affording many preventive measures. This application also issues the current risk status of each individual user. Hence, it gives improved results in avoiding high viral transmission.

The proposed six-sigma DMAIC concept also affords the control measures to prevent viral transmission. Hence, the suggested application has the highest chance of avoiding the rapid viral transmission.

Cloud computing is becoming increasingly popular as it facilitates convenient, ubiquitous, on-demand network access to a shared pool of configurable computing resources and applications that can be quickly retrieved and released. Despite its numerous merits, it faces setbacks in data security and privacy. Data encryption is one of the most popular solutions for data security in the cloud. Various encryption algorithms have been implemented to address security concerns. These algorithms have been reviewed along with the Jumbling Salting algorithm and its applications. The framework for using Jumbling Salting to encrypt text files in the cloud environment (CloudJS) has been thoroughly studied and improvised. The purpose of this paper is to implement the CloudJS algorithm, to discuss its performance and compare the obtained results with existing cloud encryption schemes.

The paper uses six research questions to analyze the performance of CloudJS algorithm in the cloud environment. The research questions are about measuring encryption time and throughput, decryption time and throughput, the ratio of cipher to the plain text of CloudJS algorithm with respect to other Cloud algorithms like AES and DES. For this purpose, the algorithm has been implemented using dockers-containers in the Linux environment.

It was found that CloudJS performs well in terms of encryption time, decryption time and throughput. It is marginally better than AES and undoubtedly better than DES in these parameters. The performance of the algorithm is not affected by a number of CPU cores, RAM size and Line size of text files. It performs decently well in all scenarios and all resultant values fall in the desired range.

CloudJS can be tested with cloud simulation platforms (CloudSim) and cloud service providers (AWS, Google Cloud). It can also be tested with other file types. In the future, CloudJS algorithm can also be implemented in images and other files.

To the best of the knowledge, this is the first attempt to implement and analysis of a custom encryption algorithm (CloudJS) in the cloud environment using dockers-containers.

This chapter introduces the era of Artificial Intelligence (AI) and the Metaverse, delving into their integration and profound impact on community, creativity, collaboration, and societal change. It begins by exploring the emergence of the Metaverse and its fusion with AI technologies, highlighting how AI ensures consistency in depicting virtual worlds with diverse laws of physics and economies, thereby enhancing their realism and dynamism through advanced world-building techniques. The chapter further examines AI’s role in artistic creation, emphasizing its contributions to art, music, and storytelling across different levels. It also explores collaborative intelligence, focusing on human-AI partnerships in crafting virtual environments and developing virtual collaborators or creative assistants. Additionally, it discusses the democratization of creativity and innovation within the AI-metaverse ecosystem, emphasizing participatory storytelling and community engagement modules. Ethical and societal considerations such as algorithm bias and digital property rights are carefully addressed throughout the discussion. The chapter concludes by summarizing the opportunities and imperatives in AI-Metaverse collaboration, highlighting achievements and insights that promote openness, accountability, and inclusivity. In conclusion, this chapter underscores ongoing technological advancements in AI and the Metaverse, poised to revolutionize human interaction, creativity, and self-expression. It advocates for responsible and pragmatic development to achieve positive outcomes for all stakeholders.