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Present day organizations are considering workforce diversity as one of the main challenges in the human resource management. This study aims to find out the relationship between diversity management (DM) in the context of strategic human resource management (SHRM) and organizational performance (OP). An attempt is made to find out the mediation effect of cognitive diversity (CD) and affective diversity (AD) in the relationship between DM and OP.

The constructs investigated in the present study include DM, OP, CD and AD. Structural equation modeling has been used to test the model fit. The data was collected from 50 human resource professionals working in different organizations in the information technology (IT) sector in Bangalore, India. Confirmatory factor analysis has been used for establishing the reliability.

The results show that there exists a significant relationship between DM and OP. This significant positive relationship can be attributed to the mediating role of CD and significant negative relationship is because of the AD.

This study has several limitations. In this study, only three DM practices have been considered. The generalization of the results is another limitation as the study has been conducted in the IT sector in Bangalore, India. Similarly, sample size also affects the implications of an empirical study and sample size in this study is small. This study has investigated only the impact of two aspects of diversity, cognitive and affective, while neglecting the effect of communicational and symbolic processes.

The results indicate that organizations must consider that by providing intercultural trainings (ICTs), work–life balance (WLB) and work-time flexibility options, the negative aspects of diversity can be minimized. Moreover, organizations should encourage the task conflict which leads to better decision-making as well as creates a sense of group identification, which may help in the avoidance of negative consequences of AD.

This study is undertaken to find out the effect of certain diversity-oriented SHRM practices such as flexible working times, WLB, ICT and its impact on the OP in the Indian IT industry. This study has investigated the mediating role of CD and AD on the relationship between diversity-oriented SHRM practices and OP, which is the novelty of this study. Third, the study has been undertaken considering that there is a dearth of research on the impact of AD and CD on OP in the Indian context.

The purpose of this paper in respect of tsunami‐affected villages in Tamil Nadu undertaken in a field trip in June 2005, and updated through online research is to first provide an overview of discrete, ongoing initiatives by different stakeholders – NGOs; Government and UNDP; Government's announcement to have a tsunami early warning system for the Indian Ocean in place by mid‐2007, paralleled by a partnership of different stakeholders to launch a pan‐India village‐info‐kiosk movement in July 2005.

The first step was to identify existing reports/programmes on disaster preparedess and mitigation, and then track the progress of the implementation of initiatives by different stakeholders. While highlighting the need for coordinated action, the author also proposed initiating a pilot project in two‐three pre‐selected village‐sites, which in turn could be upgraded to make them “Multi hazard‐ready”.

While the initiatives by different stakeholders were aimed at covering the targeted villages, as per their respective plans – there was as yet little visible attempt to privilege the tsunami‐affected villages, as was being done with their recovery efforts. Significantly, there was no mention of the proposed post tsunami Central Recovery Resource Center (CRRC) at Chennai “to meet the need for a coordinated action by all stakeholders” in the course of the discussions of early June, nor a reference to the potential for such a forum to deliberate on a coordinated Multi hazard, early warning action plan along the lines highlighted through vertical and horizontal linkages.

While the above activities were not part of a grand design – conceptualized, implemented and overseen by an over arching coordinating agency, nevertheless, together they add up to a broad based comprehensive DM resource base/infrastructure upon which hopefully an agency like the INCOIS in coordination with different stakeholders – possibly under the aegis of the Chennai CRRC – could build up its mandated tsunami – multi hazard – early warning system and its dissemination to the village‐level in TN.

The paper serves as a “one window resource guide” to provide at least the contours of a road map pointing to one of the few possible ways on how to go about a risk management plan in a coordinated and focused mode.

The purpose of this paper is to present a review of diversity management research published in hospitality and tourism-specific and business discipline-based journals. The study objectives include attempting to assess the progress of diversity management research in hospitality and tourism, identifying gaps between the general business diversity management literature and the hospitality and tourism literature and providing hospitality and tourism scholars with suggestions to advance knowledge in diversity management.

The study is a critical review of the existing diversity management literature in the general business and hospitality and tourism disciplines in an attempt to identify gaps and make suggestions for expanding this knowledge in the hospitality and tourism fields.

There are significant gaps between the diversity management scholarship conducted in hospitality and tourism disciplines and the general business field. Diversity management research in general business is far more in-depth and uses sociological and social psychological theoretical frameworks.

There are lessons to be learned from the general business literature that uses strong theoretical foundations deeply grounded in sociological, psychological, social-psychological and management theories. The general management literature also explores the conditions under which diversity management adds value or creates challenges for organizations.

The hospitality and tourism industry has employed large numbers of ethnic minorities, women and members of the lesbian, gay, bisexual and transgender community for decades. As such, it is critical that scholars explore the implications of such a diverse workforce not only on organizational outcomes, but also on individual and group performance. The general business diversity management research suggests that workgroup composition can influence individual and group performance, as well as the quality of co-worker relationships. Given the team-oriented, interdependent nature of work in the hospitality and tourism industry, it is imperative that researchers conduct studies that help practitioners understand the most effective perspectives and approaches to diversity management.

The critical literature review demonstrated that there is extremely scarce research on diversity management focusing on employees with disabilities. It is imperative to shed more light on best diversity management practices, workplace etiquette of this under-represented group of employees and their interaction with their co-workers.

This study’s results provide insight into areas of exploration that can significantly enhance the scholarship on diversity management in the hospitality and tourism literature.

The purpose of the paper is to provide a thorough analysis of the concepts of business intelligence (BI), knowledge management (KM) and analytical CRM (aCRM) and to establish a framework for integrating all the three to each other. The paper also seeks to establish a KM and aCRM based framework using data mining (DM) techniques, which helps in the enterprise decision‐making. The objective is to share how KM and aCRM can be integrated into this seamless analytics framework to sustain excellence in decision making using effective data mining techniques and to explore how working on such aCRM system can be effective for enabling organizations delivering complete solutions.

This paper is based on focused and dedicated study of the literature present on the aCRM, KM and data mining techniques. The paper considered how to develop a strategy and operational framework that would build aCRM on the foundation of existing DM techniques and KM approach to meet the business challenges. Based on this research, a customized, integrated framework, to match the needs of business was designed.

KM focuses on managing knowledge within the organization and aCRM focuses on gaining analytical information from the customer data. Both KM and aCRM help in the decision making process and understanding. This knowledge is difficult to uncover. Hence, this paper explains the importance of data mining tools and techniques to uncover knowledge by the integration between KM and aCRM. This paper presents an integrated KM and aCRM based framework using DM techniques.

All the firms may not be in favor of adopting KM while implementing aCRM. The KM requires a convalesce of organizational culture, technology innovations, effective work force in culminating knowledge dissemination in all business domains.

The organizations implementing this knowledge enabled aCRM framework would be easily able to convert their business knowledge via the analytical CRM to solve many business issues, such as increase response rates from direct mail, telephone, e‐mail, and internet delivered marketing campaigns, increased sales and increased services. With aCRM, firms can identify their most profitable customers and use this knowledge for promotional schemes for those customers as well as identify future customers with prediction on ROI.

The need for the integration of KM and aCRM is clear. It is written for practitioners who are looking for approaches to improve business performance and maintain high profits for their business by incorporating knowledge‐enabled aCRM in their setup.

Due to climate change and a considerable increase in man-made disasters, disaster risk management has gained a lot of importance. This article aims to summarize the proceedings of two days of discussion on natural and human-induced disasters organized by National Institute of Disaster Management at Vigyan Bhavan, New Delhi. The objective is to evolve a holistic national strategy for inclusion of disaster risk reduction (DRR) policies and programs into the mainstream of developmental activities. The libraries worldwide are witnessing a series of disasters, and DRR is one of the much-discussed topics within the library community. The literature on disaster risk management in libraries is scanty, and with less research being done, needs urgent attention. The library conferences in India and abroad hardly address the theme “DRR”; therefore, this report will be of interest to librarians and policy makers for libraries.

This report includes selected presentations and discussion during thematic and plenary sessions and provides a review of some of the events of the first session of the National Platform for Disaster Risk Reduction (NPDRR). The author's observation/participation and discussion on vital areas, namely disaster resilience, capacity building, risk insurance, global warming and climate change, created insight in preparation of this report.

A multi-stakeholder NPDRR has been constituted by the Government of India, with Home Minister as Chairman, in Resolution No. 47-31/2012-DM-III on 26 February 2013. The event was attended by various stakeholders such as policy makers, administrators, professional disaster managers, UN organizations, multilateral organizations, scientists, technocrats, academicians, corporate and private sectors, community leaders, representatives of Panchayati Raj Institutions (grass roots-level institutions in India preferably called a “village panchayat”), and NGOs. India is amongst 80 countries which have a national platform on disaster risk management like the NPDRR. The theme generated a lot of discussion on risk financing mechanisms, long-term recovery and rehabilitation, and holistic strategy for multi-hazard DRR.

This is an important topic in the area of disaster risk management which includes disaster resilience, capacity development, and policy planning. This discussion forum facilitated the enhancement of knowledge and the integration of DRR into the mainstream of development.

The purpose of this paper is to analyze the relationship between the factors influencing investors sentiment and investment decision-making (DM) of the individual investors. This paper proposes a unique conceptual framework that incorporates the herding, market and awareness factors that are leading to investor sentiment (IS) and decision-making process of the individual investors.

This study has conducted a questionnaire-based survey to collect data from 875 individual investors through the convenience sampling method. Structural equation modeling was used to evaluate the relationship between factors, namely, market effect, herd behavior, media, social interaction and advocate recommendation that influences IS and DM.

The present study found that market effect and herding are the most significantly influencing factors of investors sentiment. Among the sources of awareness, the internet has the lowest influence when compared to media, social interaction and advocate recommendation.

This study will help individual investors to avoid the problems faced while making an investment decision. The study could help investors to select a suitable investment aid and avoid repeating expensive errors, which arise due to investors’ sentiment. It is recommended to increase the awareness regarding investors’ sentiment among individuals, so as to increase their understanding about the financial settings and to make them confident while investing. The present study also sheds light upon the behavior of Indian individual investors so that policymakers can take appropriate measures to provide the proper guidance. Policymakers can conduct awareness campaigns to increase investors’ knowledge on the market condition and to enhance proper investment DM among them.

To best of the authors’ knowledge, previous studies have focused on limited factors at a time. The present study has investigated how factors influencing investors sentiment, namely, market factors (MF), herding as well as awareness would influence investment DM among individual investors in India. The influence of these factors has never been studied simultaneously in the context of Indian individual investors’ DM.

The purpose of this paper is to perform organizational team effectiveness analysis and to find out whether decision-making style (DMS) has any association with team effectiveness. Which style most significantly affects the team effectiveness and how this predictive association can be used to improve existing teams as well as to build new effective teams?

The sample includes 231 sample responses of executives from Indian Manufacturing Organizations from both public and private sectors. Two standardized questionnaires are used for data collection. Mainly, SPSS v20.0 was used for data analysis and hypotheses testing. AMOS v20.0 was used for testing the research model based on the supported hypotheses.

Rational DMS is mostly endorsed by the Indian executives. Not all DMSs but rational and avoidant styles independently and interactively are the significant predictors of team effectiveness.

The survey method of data collection, cross-sectional research design and consideration of particular DMSs and team effectiveness frameworks are the main limitations of this study. Theoretical as well as practical implications are vested in the results.

The study bears significant practical implications for the respondents, practitioners, professionals and academicians in the field of team working. Management development and training activities may be directed based on the findings.

The study suggests socially acceptable and practicable decision-making behaviors in organizations. It highlights suggestions for improving team effectiveness (TE). Hence, certain social implications are also there.

The edge in this research over the previous studies is that earlier scholars, who examined member traits’ impact on TE, did not considered DMS as a predictor of TE. Certain researchers appealed for diagnosing the standard variable to measure the member style. This research is, therefore, unique in its kind as it is a pioneering effort to study the DMS in relation to team effectiveness. The focus on sample of Indian manufacturing executives also bears importance. Moreover, unlike other researches, it focuses on DMS rather than the decision-making process itself.

The extant literature underlines the inadequacies of legal and policy frameworks addressing the safety and health concerns of sandstone mineworkers in India. Notably, Rajasthan, a state renowned for its extractive industries, mirrors these concerns. Against this backdrop, this paper aims to critically evaluate the relevant legal and policy landscape, with an emphasis on the recent central statute: the Occupational Safety, Health and Working Conditions Code of 2020 (OSHWCC). Given that the Code subsumes the key legislation pertaining to the safety and health of mineworkers, an in-depth critical analysis is essential to forge suitable policy interventions to address continued gross violations of human rights.

The critical analysis of legal and policy frameworks on silicosis in sandstone mineworkers is based on a comprehensive reading of existing literature. The literature includes relevant laws, case law, reports of the Rajasthan State Human Rights Commission and National Human Rights Commission, publicly available data and key scholarly contributions in the field.

Although the OSHWCC has made some changes to the existing regulatory architecture of mines in India, it has failed to safeguard the safety and health of mineworkers. Notably, the vast majority of mines in India – constituting approximately 90%, which are informal, seasonal and small-scale – remain beyond the jurisdiction of this Code. In Rajasthan, there are specific policies on silicosis, but these policies are poorly implemented. There is a serious shortage of doctors to diagnose silicosis cases, leading to under-diagnosis. The compensation for silicosis victims is insufficient; the distribution mechanism is complex and often delayed.

The central and many state governments have not established the regulatory institutions envisaged under the OSHWCC 2020; therefore, the working of the regulatory institutions could not be critically examined.

The paper critically evaluates laws and policies pertaining to silicosis in sandstone mineworkers, with a special emphasis on the state of Rajasthan. It offers a comprehensive critique of the OSHWCC of 2020, which has not received much attention from previous studies.

The purpose of this paper is to determine priority order of Indian energy sector projects on investments and strategic dimension angles. Grey System Theory (GST) and COmplex PRroportional ASsessment (COPRAS-G) method, a flexible multi-criteria decision-making (MCDM) analyses, is used for this purpose to prioritize Indian energy sector projects, namely, coal, gas, hydro, solar and nuclear.

The GST-based MCDM approach of COPRAS is used. Five projects of energy sector are compared based on various grey criteria. These criteria were selected on the perspectives of life-cycle costing and management-thinking approach for prioritizing these projects. The GST-based COPRAS-G is described, and results are discussed to draw a strategic road map for measuring the sustainability in the energy sector.

On applying COPRAS-G on five energy projects, solar projects get high-priority order, and realistic scenario of results shows that renewable energy projects are preferred over the conventional projects such as coal and gas.

Here, COPRAS-G method is used as MCDM techniques. However, few other MCDM techniques such as fuzzy Preference Ranking Organization METHod for Enrichment Evolution, elimination and choice expressing reality and efficiency analysis technique with output satisficing can be also explored to outrank various Indian energy sector projects.

Indian energy sector involves high degree of complexity, and, therefore, it needs more flexibility to overcome the present barriers of effective decision-making. Grey decision theory-based method like COPRAS-G is able to address energy security dimensions on different scenario of energy supply, i.e. pessimistic, optimistic and realistic, precisely.

The results can provide guidance to the government or public sector regarding various possible investment options for energy supply and can help in drawing a rough trajectory of strategy toward energy security of the country.

This paper can supplement and act as the support for decision-making in conflicting situations specifically to have outlook of the sub-sector project on different flexible scenarios. Moreover, such work can synergize conflicting ideas of decision makers and various stakeholders of the Indian energy sector.

The purpose of this paper is to prioritize Indian energy sector projects, namely, coal, gas, hydro and solar using fuzzy PROMETHHE (F-PROMETHEE) and Visual PROMETHEE applications and multicriteria decision-making (MCDM) analyses.

The MCDM outranking approach of PROMETHEE under fuzzy environment is used. Four projects of energy sector are selected as alternatives and are compared based on various criteria. These criteria selected on the perspectives of life cycle costing (LCC) analysis and related management approaches for prioritizing projects for effective decision-making (DM). The F-PROMETHEE is described and results are also compared with outranking application in Visual PROMETHEE software based on same set of criteria. For better understanding, the graphical representations of the multicriteria problem are also shown using graphical analysis for interactive aid.

On applying F-PROMETHEE on four energy projects, coal and solar projects outrank high and results shows that coal-based project is preferable and should be considered.

Here F-PROMETHEE and Visual PROMETHEE are used as MCDM techniques. However, few other MCDM techniques such as ELECTRE and EATWOS can be also explored to outrank Indian energy sector projects.

Indian energy sector involves high degree of complexity for effective DM on the front of prioritized investment-related capacity addition through energy projects. Outranking methods like F-PROMETHEE is able to address the criteria to criteria impact on DM support precisely.

The finding can provide information to the government or public sector regarding various possible investment options on energy projects in India.

This paper can be supplement and act as the support for DM in conflicting situations specifically for prioritizing investments on various energy projects, which further can synergize conflicting ideas of various stakeholders of the Indian energy sector.