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Research questions that this paper attempts to answer are – do the features in general email communication have any significance to a teaching faculty member leaving the business school? Do the sentiments expressed in email communication have any significance to a teaching faculty member leaving the business school? Do the stages mentioned in the transtheoretical model have any relevance to the email behaviour of an individual when he or she goes through the decision process leading to the decision to quit? The purpose of this paper is to study email patterns and use predictive analytics to correlate with the real-world situation of leaving the business school.

The email repository (2010–2017) of 126 teaching faculty members who were associated with a business school as full-time faculty members is the data set that was used for the research. Of the 126 teaching faculty members, 42 had left the business school during this time frame. Correlation analysis, word count analysis and sentiment analysis were executed using “R” programming, and sentiment “R” package was used to understand the sentiment and its association in leaving the business school. From the email repository, a rich feature set of data was extracted for correlation analysis to discover the features which had strong correlation with the faculty member leaving the business school. The research also used data-logging tools to extract aggregated statistics for word frequency counts and sentiment features.

Those faculty members who decide to leave are involved more in external communication and less in internal communications. Also, those who decide to leave initiate fewer email conversations and opt to forward emails to colleagues. Correlation analysis shows that negative sentiment goes down, as faculty members leave the organisation and this is in contrary to the existing review of literature. The research also shows that the triggering point or the intention to leave is positively correlated to the downward swing of the emotional valence (positive sentiment). A number of email features have shown change in patterns which are correlated to a faculty member quitting the business school.

Faculty members of only one business school have been considered and this is primary due to cost, privacy and complexities involved in procuring and handling the data. Also, the reasons for exhibiting the sentiments and their root cause have not been studied. Also the designation, roles and responsibilities of faculty members have not been taken into consideration.

Business schools all over India always have a challenge to recruit good faculty members who can take up research activities, teach and also shoulder administrative responsibilities. Retaining faculty members and keeping attrition levels low will help business schools to maintain the standards of excellence that they aspire. This research is immensely useful for business school, which can use email analytics in predicting the intention of the faculty members leaving their business school.

Although past studies have studied attrition, this study uses predictive analytics and maps it to the intention to quit. This study helps business schools to predict the chance of faculty members leaving the business school which is of immense value, as appropriate measures can be taken to retain and restrict attrition.

The purpose of this paper is to investigate the relationship between employees’ perceptions of diversity within management levels (i.e. senior management, middle management and lower management levels) and perceived organizational performance. The study also examines differences in perceptions of diversity within different levels of management across nature and ownership forms of organizations.

Primary data were gathered from a sample of 400 employees from 162 organizations of diverse industries operating in India. Statistical techniques like analysis of variance and stepwise multiple regressions were used to analyze the data.

Employee perceptions of diversity at the senior, middle and lower management levels of organizations are weakly, most significantly and positively, and negatively related to perceived organizational performance. It has also been found that the perceptions of diversity within different levels of management differ across nature and ownership forms of the organization.

The study relies on self-reported questionnaires as the method of data collection, which can lead to common-method bias. Hence, further studies can collect data by using multiple sources. In addition, future researchers can employ both subjective and objective measures to fetch results that are more valid.

To harvest the benefits of diversity, organization should foster positive perceptions among employees toward diversity.

The study gives new insight into why employees’ perceptions are significant in considering the possible outcomes of diversity.

As an emerging technology, Radio Frequency IDentification (RFID) and blockchain have the potential to disrupt many areas of business and social structure. However, it is loaded with significant technical, social, legal, financial and ethical complications that bring difficulty in its widespread use within the public distribution system (PDS). This research aims to analyze the barriers to integrated RFID and blockchain adoption in developing countries' PDS. Furthermore, this study also aims to validate the proposed framework against the Indian PDS.

The proposed framework consists of 10 potential barriers to integrated RFID and blockchain adoption. To identify the barriers, this study referred to the extant literature followed by consultations with domain experts. This study prepared the DEMATEL-based questionnaires, collected the data from four domain experts and analyzed them using an integrated Grey-DEMATEL approach.

The obtained results provide a precise list of barriers and the correlations among them. From the results, it is concluded that the unavailability of a skilled workforce at affordable cost, lack of knowledge about privacy level and unclear return on investment and benefits are the most critical blockchain adoption barriers in the context of Indian PDS.

This research proposes a framework consisting of 10 integrated RFID and blockchain adoption barriers in relation to Indian PDS. It also proposes a method for analyzing causal interrelationships between the barriers while allowing for data input from domain experts. Consequently, the framework is capable of coping with experts' biases and data scarcity.

This paper aims to investigate the thermal performance involving larger heating rate, targeted heating, heating with least non-uniformity of the spatial distribution of temperature and larger penetration of heating within samples vs shapes of samples (circle, square and triangular).

Galerkin finite element method (GFEM) with adaptive meshing in a composite domain (free space and sample) is used in an in-house computer code. The finite element meshing is done in a composite domain involving triangle embedded within a semicircular hypothetical domain. The comparison of heating pattern is done for various shapes of samples involving identical cross-sectional area. Test cases reveal that triangular samples can induce larger penetration of heat and multiple heating fronts. A representative material (beef) with high dielectric loss corresponding to larger microwave power or heat absorption in contrast to low lossy samples is considered for the current study. The average power absorption within lossy samples has been computed using the spatial distribution and finite element basis sets. Four regimes have been selected based on various local maxima of the average power for detailed investigation. These regimes are selected based on thin, thick and intermediate limits of the sample size corresponding to the constant area of cross section, Ac involving circle or square or triangle.

The thin sample limit (Regime 1) corresponds to samples with spatially invariant power absorption, whereas power absorption attenuates from exposed to unexposed faces for thick samples (Regime 4). In Regimes 2 and 3, the average power absorption non-monotonically varies with sample size or area of cross section (A_c) and a few maxima of average power occur for fixed values of A_c involving various shapes. The spatial characteristics of power and temperature have been critically analyzed for all cross sections at each regime for lossy samples. Triangular samples are found to exhibit occurrence of multiple heating fronts for large samples (Regimes 3 and 4).

Length scales of samples of various shapes (circle, square and triangle) can be represented via Regimes 1-4. Regime 1 exhibits the identical heating rate for lateral and radial irradiations for any shapes of lossy samples. Regime 2 depicts that a larger heating rate with larger temperature non-uniformity can occur for square and triangular-Type 1 lossy sample during lateral irradiation. Regime 3 depicts that the penetration of heat at the core is larger for triangular samples compared to circle or square samples for lateral or radial irradiation. Regime 4 depicts that the penetration of heat is still larger for triangular samples compared to circular or square samples. Regimes 3 and 4 depict the occurrence of multiple heating fronts in triangular samples. In general, current analysis recommends the triangular samples which is also associated with larger values of temperature variation within samples.

GFEM with generalized mesh generation for all geometries has been implemented. The dielectric samples of any shape are surrounded by the circular shaped air medium. The unified mesh generation within the sample connected with circular air medium has been demonstrated. The algorithm also demonstrates the implementation of various complex boundary conditions in residuals. The numerical results compare the heating patterns for all geometries involving identical areas. The thermal characteristics are shown with a few generalized trends on enhanced heating or targeted heating. The circle or square or triangle (Type 1 or Type 2) can be selected based on specific heating objectives for length scales within various regimes.

The purpose of this paper is to investigate the literature and statistical data on the Indian takeover code cum open offers market and break up the historical changes in takeover code into various phases for better understanding and decision making by mergers and acquisitions advisory, legal advisory, merchant bankers, investment bankers, business houses and academia.

The present study describes literature summary on takeover code and evaluates the growth phase of open offers through trend analysis with respect to amendments in Indian takeover code.

Since 14 years of takeover code presence in India, it evidences that there is an empirical support on growth phase in the open offers market.

The study is developed on the basis of Indian takeover regulations and Securities and Exchange Board of India takeover code to wake up the public shareholding and regulatory bodies, by better conveyance of historical review at one place.

This study is the first of its kind, dividing the complete history of Indian takeover code into various phases for review and identifying the gaps for future research. Further, the paper investigates and finds various untouched facts and variables in both literature and statistical data on open offers.

Lean and green strategies are good options to increase the environmental and operational performance of manufacturing industries. The purpose of this paper is to identify the critical success factors (CSFs) to implement green lean practices (GLPs) in manufacturing industries through the review of the literature and to develop a conceptual model after analysing the fundamental facilitating factors by using ISM-MICMAC approach.

The methodology consists of identifying 12 critical success factors (CSFs) for the green lean implementation by reviewing the relevant available literature. The views of eight experts are valued for inter-relationships of these factors. ISM-MICMAC approach is used for analysing the relations between factors and to develop a conceptual model for green lean implementation.

Twelve CSFs are identified through a review of the literature to adopt GLPs in manufacturing industries. This paper has established the relationships among 12 identified CSFs using the ISM methodology. This paper analyses the dependence power and the driving power of identified CSFs with the help of MICMAC analysis. “Top management commitment” and “Government support” are the most significant CSFs implement GLPs successfully.

The ISM model presented in this study is based on expert opinions. But expert opinions may be biased as these are based on their own judgements. However, the proposed ISM based model needs statistically validations. The ISM model in the present study may be tested in real-world situations of manufacturing industries where results obtained may be different.

This study may provide a useful input for academicians and managers of industries to differentiate between independent and dependent CSFs and their mutual relationships which would help them to focus on those key CSFs that are most significant to implement GLPs.

A conceptual ISM model of identified CSFs shows the different levels of these CSFs. This model may help the manufacturer to implement the green-lean strategies. It may also support policymakers towards adopting GLPs. Arranging CSFs in a hierarchy and to categorise the CSFs into different levels with the help of ISM-MICMAC is an exclusive effort in the area of green lean engagement.

The purpose of this paper is to explore the issues and potential in using the participatory approach to help sustain the fairs and festivals of small and medium towns and tap into their tourism potential.

An annual fair held in Sohna, a small town of Haryana, part of the District Gurgaon that has shown an exponential decadal urban growth rate, has been taken as a case to reflect on the context of small towns in India.

Due to out-migration and weakening of local indigenous population and change in occupation patterns, there is threat to continuity of the fairs and festivals. The processes revolving around the urban fairs and festivals are driven though participation of various local stakeholders and mechanisms; hence, any attempts at strengthening or sustaining these need to stem from understanding of the various participants and their roles.

An understanding of the possibilities and issues in organising the fairs and festivals through stakeholder engagement can help develop solutions to sustain these, enabling cultural continuity and positive economic impact on the various stakeholders.

This paper creates a discussion on sustaining the little known cultural wealth of small and medium towns in Haryana among all local and external stakeholders with focus on fairs and festivals.

The purpose of this paper is to study the flow, heat and mass transfer of MHD Casson nanofluid due to an inclined stretching sheet using similarity transformation, the governing PDE’S equations of flow, heat and mass transfer are converted into ODE’S. The resulting non-linear ODE’S are solved numerically using an implicit finite difference method, which is known as Kellor-box method. The effects of various governing parameters on velocity, temperature and concentration are plotted for both Newtonian and non-Newtonian cases. The numerical values of skin friction, Nusselt number and Sherwood number are calculated and tabulated in various tables for different values of physical parameters. It is noticed that the effect of angle of inclination enhances the temperature and concentration profile whereas velocity decreases. The temperature decreases due to the increase in the parametric values of Pr and Gr due to thickening in the boundary layer.

Numerical method is applied to find the results.

Flow and heat transfer analysis w.r.t various flow and temperature are analyzed for different values of the physical parameters.

The numerical values of skin friction, Nusselt number and Sherwood number are calculated and tabulated in various tables for different values of physical parameters.

The study of the boundary layer flow, heat and mass transfer is important due to its applications in industries and many manufacturing processes such as aerodynamic extrusion of plastic sheets and cooling of metallic sheets in a cooling bath.

Here in this paper the authors have investigated the MHD boundary layer flow of a Casson nanofluid over an inclined stretching sheet along with the Newtonian nanofluid as a limited.

The purpose of this study is to explore the relationship between the real time requirements of guests and efforts made by hoteliers to optimize revenue and guest service excellence.

Prior studies have demonstrated the impact of room rates on profitability. The majority of these studies assumed an algebraic relationship between room rates and room demand to obtain the optimal solution by applying calculus to the revenue or profit function. This study adopts an alternative approach by seeking to better understanding the ever changing needs of hotel guests and how their behavior patterns have evolved over time together with innovative approaches that revenue managers need to adopt to optimize revenue. In today’s environment, revenue management has evolved into a more holistic approach and the study assimilates information from senior professionals from a range of hotels in India based on semi-structured interviews.

Revenue management is no longer about forecasting supply and demand based on historical data. This paper yields insights on emerging areas of importance for revenue management and advocates a systematic approach that hoteliers can adopt and apply to every department to secure a bigger impact on revenue management.

The findings can be used by hoteliers to fine-tune the room rates determined by conventional methods to arrive at a realistic and definitive value for optimal room rates.

This study highlights the issues that arise from viewing revenue management in isolation and it also considers innovative, customer-focused ways to optimize revenues.

In highly competitive environments, sustainability positioning is crucial for firms, as they are evaluated based on their sustainable practices. This study aims to draw on the legitimacy and information asymmetry theories to explore attributes that impact business-to-business (B2B) sustainability positioning in emerging economies, such as India, within the service industry.

This study used a mixed-methods exploratory research design to examine the attributes affecting sustainability positioning. In the first phase of the study, a qualitative research method was used to explore the attributes influencing B2B sustainability positioning. In the second phase, this study used these factors to develop a structural model.

A variety of attributes was critical in assessing the sustainability positioning of B2B firms. This study identified a number of factors that explain the attributes affecting sustainability positioning in B2B markets. Some of them included environmental consciousness and external assurance.

This study significantly contributes to the theoretical discourse on sustainable practices in B2B businesses in multiple ways. First, it provides empirical data on the relationship between firms’ environmental consciousness and sustainability positioning in the B2B context, thereby adding to and expanding the current literature on this topic. Second, this study investigates the impact of external assurance on B2B firms’ sustainability positioning and shows how it can enhance credibility, transparency and accountability. Finally, it analyzes sustainable positioning in the service sector, specifically in India, thereby contributing to the body of knowledge on this topic.