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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 complexity of citizenship behavior in organizations has long been a focus of research. Traditional methodologies have been predominantly used to address this complexity. This paper aims to tackle the problem using a cutting-edge technological tool: business process mining. The objective is to enhance citizenship behaviors by leveraging primary data collected from 326 white-collar employees in the Indian service industry.

The study focuses on two main processes: training and creativity, with the ultimate goal of fostering organizational citizenship behavior (OCB), both in its overall manifestation (OCB-O) and its individual components (OCB-I). Seven different machine learning algorithms were used: artificial neural, behavior, prediction network, linear discriminant classifier, K-nearest neighbor, support vector machine, extreme gradient boosting (XGBoost), random forest and naive Bayes. The approach involved mining the most effective path for predicting the outcome and automating the entire process to enhance efficiency and sustainability.

The study successfully predicted the OCB-O construct, demonstrating the effectiveness of the approach. An optimized path for prediction was identified, highlighting the potential for automation to streamline the process and improve accuracy. These findings suggest that leveraging automation can facilitate the prediction of behavioral constructs, enabling the customization of policies for future employees.

The findings have significant implications for organizations aiming to enhance citizenship behaviors among their employees. By leveraging advanced technological tools such as business process mining and machine learning algorithms, companies can develop more effective strategies for fostering desirable behaviors. Furthermore, the automation of these processes offers the potential to streamline operations, reduce manual effort and improve predictive accuracy.

This study contributes to the existing literature by offering a novel approach to addressing the complexity of citizenship behavior in organizations. By combining business process mining with machine learning techniques, a unique perspective is provided on how technological advancements can be leveraged to enhance organizational outcomes. Moreover, the findings underscore the value of automation in refining existing processes and developing models applicable to future employees, thus improving overall organizational efficiency and effectiveness.

This study aims to examine the role of Bilateral Investment Treaties (BITs) in attracting higher foreign direct investment (FDI) inflows into the major emerging economies namely Brazil, Russia, India, China and South Africa (BRICS) from the source developed, developing and other emerging economies over a period of 18 years from 2001 to 2018.

To estimate the results, panel data regression on a gravity-knowledge capital model has been used. To account for the problem of endogeneity we have used the two-step difference Generalised Method of Moments estimator proposed by Arellano and Bond (1991).

We find that contradictory to theory and expectations, BITs result in a fall in FDI inflows in BRICS economies. BITs ratified by BRICS economies are not able to provide a sound and secure investment environment to foreign investors, thereby discouraging FDI in these economies.

To the best of the authors’ knowledge, this study is the first to examine the impact of BITs on FDI inflows into the emerging BRICS economies. Further, the impact of BITs on FDI flows among developed nations, i.e. north-north FDI and from developed to developing countries, i.e. north-south FDI has already been studied by many researchers. But so far, no study has examined this impact on FDI among developing and emerging economies (south-south FDI), despite an increase in FDI flows among these economies. Therefore, this study seeks to overcome the limitations of previous studies and tries to find out the impact of BITs on FDI inflows in BRICS economies not only from source developed but also from source developing and other emerging economies.

This paper aims to review the recent advances in processing and utilization of Madhuca longifolia flowers to address its potential as an industrial ingredient.

The paper analyzes the harvesting practices of flowers and recent works on the value addition.

Mahua flowers are rich source of natural sugars (glucose, fructose, sucrose, etc.) and hence are deliberately used for liquor production by tribal besides various food products, namely, Mahua ladoo, barfi, kheer, sweet puri and as grain staple. Mahuain medicine has been curing people since ages such as in rakhtpitta, diarrhoea and skin diseases and as aphrodisiac, galactagogue, carminative, antihelmenthic, antibacterial and antioxidant. Mahua candy, cake, ready to serve beverages, toffee, squash, ladoo, bars, etc. have been developed as value-added products. However, such a wonderful nature’s gift remains underused due to post harvest spoilage.

Improvement in storage facilities and processing of flowers after harvesting and drying will lead to enhanced availability of flowers for industrial purposes for food, feed and fodder. More value-added products can be prepared by the preparation of flower-juice concentrate, as well as efforts are made to produce powder from the flowers.

Post-harvest spoilage of Mahua flowers due to improper collection and handling practices, and filthy storage conditions is the major limitation of Mahua flowers to be used as a potential industrial ingredient. An improvement in collection, handling and pre-processing practices can diversify its use from liquor production to various value-added and functional food products at an industrial scale.

In developing countries like India, changing economic and social condition necessitated working of women irrespective of their religion, class or social status. But at the same time, it raised number of related issues like managing for family adjustment, working environment, etc. The purpose of this paper is to study gender issues like gender stereotype, gender discrimination and sexual harassment in the context of Indian environment.

A structured questionnaire was developed to collect primary data from 500 firms in India. The data collected through questionnaire was coded and tabulated keeping in context with the objective of the study and was analysed by calculating frequencies, factor analysis and one way analysis of variance.

Results elucidate seven job-related factors (infrastructure, HR functions, organisational climate, legal pursuit, empowerment, training and development and ethical concerns) and two individual factors (interpersonal and mindset) that are considered essential for women employees in Indian organisations. Analysis indicates that though age and level of management has no significant effect on these factors but male and female respondents differ significantly on their opinion regarding these issues.

The respondents in present study have been taken mainly from service sector, manufacturing sector and education sector, thus the study looks at only organised sector. The research work suffers from the usual limitations of survey research method.

With women becoming an integral part of the workforce, managers must examine their reliance on stereotypical views concerning women. Gender is a socio-cultural phenomenon and organisations are a key aspect of a given culture. Organisational analysis needs to take into account the relationship between gender, gender stereotypes and organisational life.

The paper studies gender issues of gender stereotype, gender discrimination and sexual harassment on a pan India basis covering various sectors and contribute to the subject from Indian perspective.

Virtual machines (VMs) are suggested by the providers of cloud services as the services for the users over the internet. The consolidation of VM is the tactic of the competent and smart utilization of resources from cloud data centers. Placement of a VM is one of the significant issues in cloud computing (CC). Physical machines in a cloud environment are aware of the way of the VM placement (VMP) as the mapping VMs. The basic target of placement of VM issue is to reduce the physical machines' items that are running or the hosts in cloud data centers. The VMP methods have an important role in the CC. However, there is no systematic and complete way to discuss and analyze the algorithms. The purpose of this paper is to present a systematic survey of VMP techniques. Also, the benefits and weaknesses connected with selected VMP techniques have been debated, and the significant issues of these techniques are addressed to develop the more efficient VMP technique for the future.

Because of the importance of VMP in the cloud environments, in this paper, the articles and important mechanisms in this domain have been investigated systematically. The VMP mechanisms have been categorized into two major groups, including static and dynamic mechanisms.

The results have indicated that an appropriate VMP has the capacity to decrease the resource consumption rate, energy consumption and carbon emission rate. VMP approaches in computing environment still need improvements in terms of reducing related overhead, consolidation of the cloud environment to become an extremely on-demand mechanism, balancing the load between physical machines, power consumption and refining performance.

This study aimed to be comprehensive, but there were some limitations. Some perfect work may be eliminated because of applying some filters to choose the original articles. Surveying all the papers on the topic of VMP is impossible, too. Nevertheless, the authors are trying to present a complete survey over the VMP.

The consequences of this research will be valuable for academicians, and it can provide good ideas for future research in this domain. By providing comparative information and analyzing the contemporary developments in this area, this research will directly support academics and working professionals for better knowing the growth in the VMP area.

The gathered information in this paper helps to inform the researchers with the state of the art in the VMP area. Totally, the VMP's principal intention, current challenges, open issues, strategies and mechanisms in cloud systems are summarized by explaining the answers.

The purpose of this paper is to examine industry herding among the institutional investors and to find whether their herding behaviour is intentional or unintentional.

The study uses Lakonishok et al. (1992) model to examine the presence of industry herding behaviour among institutional investors. To determine whether the herding observed is intentional or unintentional, herding measure is regressed with volatility, volume, beta and return. The period of the study is from 1 April 2005-31 March 2015.

The findings of the study showed that though institutional investors have herding tendency towards most of the industries, in the overall period industry herding was not significant. The herding found in some industrial sectors was linked to economic performance of those sectors in India during the period of study and hence the herding was unintentional in nature.

This is the first attempt to study industry herding among institutional investors and their intent in Indian market ever since the country opened its market to foreign investors in a big way. Present study is limited to the use of only bulk/block data instead of the entire trading data for the period.

This study is the first attempt to investigate industry herding behaviour of institutional investors in the market using their bulk and block trading data. The herding observed in well performing industries has been shown to be unintentional and hence rational. The results indicate that the entry of big institutional investors, including foreign institutions into the Indian market has not destabilised the market by irrational herding.

This paper aims to review comprehensively the different voltage-boosting techniques and classifies according to their voltage gain, stress on the semiconductor devices, count of the total components and their prominent features. Hence, the focus is on non-isolated step-up converters. The converters categorized are analyzed according to their category with graphical representation.

Many converters have been reported in recent years in the literature to meet our power requirements from mill watts to megawatts. Fast growth in the generation of renewable energy in the past few years has promoted the selection of suitable converters that directly impact the behaviour of renewable energy systems. Step-up converters are a fast-emerging switching power converter in various power supply units. Researchers are more attracted to the derivation of novel topology with a high voltage gain, low voltage and current stress, high efficiency, low cost, etc.

A comparative study is done on critical metrics such as voltage gain, switch voltage stress and component count. Besides, the converters are also summarized based on their advantages and disadvantages. Furthermore, the areas that need to be explored in this field are identified and presented.

Types of analysis usually performed in dc converter and their needs with the areas need to be focused are not yet completely reviewed in most of the articles. This paper gives an eyesight on these topics. This paper will guide the researchers to derive and suggest a suitable topology for the chosen application. Moreover, it can be used as a handbook for studying the various topologies with their shortfalls, which will provide a way for researchers to focus.

Accessing formal mainstream finance is a cumbersome process for Micro, Small and Medium Enterprises (MSMEs) of emerging economies. Empirical investigations have connected finance accessibility to financing gap that restricts MSMEs from borrowing through formal channels. The purpose of this study is to explore the influence of financing gap on firms' financial structure (FS) practices. In this regard, the research framework divides financing gap into four dimensions, namely: demand gap (DG), supply gap (SG), knowledge gap (KG) and empathy gap (EG).

The paper adopts a quantitative approach to establish the underlying relationship between the variables. The participants of the self-structured questionnaire survey were 219 MSME owners from manufacturing, trading and service industries. The results are inferred through the partial least squares structural equation modeling (SEM) technique.

The findings recognise a significant impact of financing gap on the FS practices of firm owners. The financing constraints contributing to KG, SG and EG are found to be extending the unwillingness of firm owners to borrow through formal channels. Further, the results also confirm the influence of financing gap on the pecking order framework (POF) of MSMEs' FS.

The study offers the perspective and hesitance of MSME owners towards mainstream financing. The key findings are useful for the financial intermediaries and policymakers, who need to be sensitive and proactive in their small business lending process.

The study adds to the limited evidence of various dimensions of financing gap. It also addresses the role of financing gap on the conscious preferences of MSME owners towards the informal source of financing along with the POF.