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This paper develops a decision-analysis model to prioritize and select the site to establish a new hospital over different indicators such as cost, market conditions, environmental factors, government factors, locations and demographics. In this way, an integrated model is proposed under the intuitionistic fuzzy information (IFI), the standard deviation (SD), the rank-sum (RS) and the measurement of alternatives and ranking using the compromise solution (MARCOS) approach for ranking hospital sites (HSs).

The IF-SD-RS model is presented to obtain the combined weight with the objective and subjective weights of diverse sub-criteria and indicators for ranking sites to establish the hospital. The IF-MARCOS model is discussed to prioritize the various sites to establish the hospital over several crucial indicators and sub-criteria.

The authors implement the developed model on a case study of HSs assessment for the construction of new hospital. In this regard, inclusive set of 6 key indicators and 18 sub-criteria are considered for the evaluation of HSs. This study distinguished that HS (h₂) with combined utility function 0.737 achieves highest rank compared to the other three sites for the given information. Sensitivity analysis is discussed with different parameter values of sub-criteria to examine how changes in weight parameter ratings of the sub-criteria affect the prioritization of the options. Finally, comparative discussion is made with the diverse extant models to show the reasonability of the developed method.

This study aims to develop an original hybrid weighting tool called the IF-SD-RS model with the integration of IF-SD and IF-RS approaches to find the indicators' weights for prioritizing HSs. The developed integrated weighting model provides objective weight by IF-SD and subjective weight with the IF-RS model. The model presented in the paper deals with a consistent multi-attribute decision analysis (MADA) concerning the relations between indicators and sub-criteria for choosing the appropriate options using the developed IF-SD-RS-MARCOS model.

Introduction: Historically, the corporate governance (CG) framework was designed primarily to safeguard the economic interests of shareholders, as a result of political and legal interventions, developing into an effective instrument for stakeholders and society in general.

Purpose: The core objectives of the study include: identifying journals/publications responsible for publishing CG studies in India, key CG issues covered by CG researchers, the amount of high-impact CG literature across different time periods, sectors/industries covered by CG researchers and different research instruments (quantitative or qualitative) used in CG studies in India.

Design/methodology: The chapter used a sample of 130 corporate governance studies that fulfil the selection criteria, drawn from the repository of over 100 reputed journals that are either recognised by the Australian Business Deans Council (ABDC) or indexed by SCOPUS. A systematic literature review has been carried out pertaining to CG issues in India, based on various statistical tools, data, industries, research outlets & citations, etc.

Findings: The results show an overwhelming number of studies have assessed the relationship between CG variables and firm performance, which could be measured through a variety of performance metrics such as ROA and ROI. Apart from empirical analysis, many conceptual studies use repetitive basic statistical tools like descriptive statistics or regression analysis. The chapter offers insights into current achievements and future development.

Originality/value: This bibliometric study is a useful guide for policymakers, corporate leaders, research organisations and management faculty to draw insights from work produced by eminent researchers in GC in India.

The study aims to assess and prioritise the enablers of manufacturing flexibility by evaluating the degree of environmental uncertainty and manufacturing flexibility in an uncertain environment.

The study proposes a methodological approach based on fuzzy quality function deployment (FQFD), fuzzy analytical hierarchical process (FAHP) and fuzzy technique for order of preference by similarity to ideal solution (FTOPSIS) to assess and prioritise enablers of manufacturing flexibility in an uncertain environment.

The study proposes a methodological approach that can facilitate firms to concentrate on preferred enablers and assist them in formulating a strategy to develop manufacturing flexibility. The empirical case study analysis of an Indian auto-air conditioning manufacturing firm was done to illustrate the effectiveness, flexibility and feasibility of the proposed approach.

The proposed approach is limited to manufacturing flexibility. This study does not consider inter-dependencies among environmental uncertainties.

The proposed methodological approach can assist practitioners in the identification and development of the preferred enablers to improve manufacturing flexibility. Thus, practitioners can invest strategically in the right resources to improve manufacturing flexibility.

The study proposes and validates a methodological approach that simultaneously addresses drivers and enablers of manufacturing flexibility; therefore, it aims to fill the gaps of earlier studies that have majorly studied flexibility concept in an isolated way.

Spirituality has long played an important role in conflict and crisis management at both individual and organizational levels, and the interest in spirituality is increasing day by day. Spirituality gives meaning or purpose to one's life and minimizes the potential for conflict, so spirituality has a mitigating role in conflict and crisis processes. In addition, spirituality is thought to foster values such as equality, honesty, compassion, avoidance of harm, respect, peace, justice, forgiveness, sense of duty, reliability, good citizenship, gratitude, optimism, gratitude, love, dedication, and empathy. Therefore, it can be said that employees who have internalized such moral values will definitely reflect them in their actions and discourses in conflict and crisis situations and will achieve successful results. In fact, spirituality drives the behaviors of employees in both crisis management and coping with crisis management. In this context, it can be said that employees with a high level of spirituality can choose the integrative conflict style in conflict situations and can manage conflict positively and thus prevent a crisis from occurring. It is also foreseen that religious spirituality will play a positive role in conflicts and create a peaceful environment in organizations.

To determine the factors that motivate rural households to supply ganyu labor and to estimate its impact on food security.

Data from the 2010/2011 Malawi household survey were used. A probit model to evaluate the determinants of ganyu labor supply and a propensity score-matching estimator to assess its impact on food security were used.

Less educated males are more likely to supply ganyu labor. Ganyu labor supply increases with household size, while it decreases with the level of crop farming and size of land owned. Results from the average treatment effect indicate a positive and significant impact of ganyu labor participation on the number of meals consumed per day.

Ganyu labor participants in Malawi have better access to food as a result of cash income from ganyu. Government support mechanisms such as minimum wage regulations should consider the welfare of ganyu labor participants.

The main purpose of this study is to investigate the effect of learning culture and knowledge sharing (KS) on organizational effectiveness (OE). This study also proposed to investigate the role of employee competency in organizational success.

This study is based on the primary and secondary sources of data. The primary data comprises 392 responses from different information technology firms located in India, whereas secondary sources are based on journals, reports, company manuals, etc. The data was analyzed in partial least square-structural equation modeling using SMART-PLS 3.3 software.

This study confirms the conceptual model with the collected data. The key contributors to the model are organizational learning culture (OLC), KS, employee competencies (EC) and OE. The OLC and KS are the independent variables, and OE is the dependent variable, whereas the EC is the mediating variable in the research model. The findings reveal that there is a significant OLC on KS, EC and OE. Likewise, the relationship between KS and OE is also significant. The mediation analysis confirms the EC is significant for the relationships. However, the mediating effects of KS on the relationship between OLC and EC are not significant in this research.

An effective learning culture that leads to an increase in KS activities eventually enhances EC and promotes OE. It indicates that strengthening the learning culture will result in the promotion of knowledge sharing, and it is obvious that the employees’ competencies will increase when the employee is skilled and knowledgeable.

With references to different theories, this study provides an integrated model that shows the relationships between OLC, KS, EC and OE. By strengthening the OLC and KS, this relationship is benevolent to the success of the organization. The created framework paves the way for scholars to further explore insights from inside each component.

The purpose of this paper is to review the diversified existing literature on tourism and carbon emissions using bibliometric analysis to churn down the multiple studies under one paper, which not only provides insights into the evolution and progress of the research area but also sets the future research agenda.

The study adopted the Scientometrics review methodology based on the bibliometric analysis. Bibliometric analysis is conducted through the following techniques, namely, citation analysis, thematic mapping, country collaboration, co-citation analysis and co-occurrence of keywords with the help of R-based bibliometrix and visualization of similarities (VOS) viewer open-source software.

The study identified the most prominent authors, studies, journals, affiliations and countries in the field of sustainable tourism, as well as the most co-cited authors and journals, based on a bibliometric analysis of 398 research papers retrieved from the Scopus database during the past three decades (1990–2021). Moreover, some of the relevant themes identified by the authors are energy use and carbon dioxide (CO₂) emission of the tourism sector, economic impacts of tourism and CO₂ emissions and CO₂ emissions and carbon tax.

The outcome of the selected studies is a unique contribution to the field of sustainable tourism as it is one of the first known studies to review tourism and carbon emissions. It provides in-depth bibliometric analysis of articles and identification of the important research trends.

Achieving a zero-carbon city requires a long-term strategic perspective. The authors propose a decision-making model which would take into account the economic, environmental and social impacts for prioritizing the zero-carbon measures for sustainable urban transportation.

An integrated intuitionistic fuzzy gained and lost dominance score (IF-GLDS) model is introduced based on intuitionistic fuzzy Yager weighted aggregation (IFYWA) operators and proposed weight-determining IF-SPC procedure. In addition, a weighting tool is presented to obtain the weights of decision experts. Further, the feasibility and efficacy of developed IF-SPC-GLDS model is implemented on a multi-criteria investment company selection problem under IFS context.

The results of the developed model, “introducing zero-emission zones” should be considered as the first measure to implement. The preference of this initiative offers sustainable transport in India to achieve a zero-carbon transport by having the greatest impact on the modal shift from cars to sustainable mobility modes with a lower operational and implementation cost as well as having greater public support. The developed model utilized can be relocated to other smart cities which aim to achieve a zero-carbon transport. Sensitivity and comparative analyses are discussed to reveal the robustness of obtained result. The outcomes show the feasibility of the developed methodology which yields second company as the suitable choice, when compared to and validated using the other MCDA methods from the literature, including TOPSIS, COPRAS, WASPAS and CoCoSo with intuitionistic fuzzy information.

A new intuitionistic fuzzy symmetry point of criterion (IF-SPC) approach is presented to find weights of criteria under IFSs setting. Then, an IF-GLDS model is introduced using IFYWA operators to rank the options in the realistic multi-criteria decision analysis (MCDA) procedure. For this purpose, the IFYWA operators and their properties are developed to combine the IFNs. These operators can offer a flexible way to deal with the realistic MCDA problems with IFS context.

The purpose of this paper is to develop an understanding of factors and their associated attributes that largely influence achievement of manufacturing flexibility.

Using two sequential phases consisting of literature review, plant visits and focus group interviews, the study identifies key factors that influence manufacturing flexibility and develop and validate these factors through postal survey. In total, 211 responses from multiple industries were collected to analyze the data.

The study identifies and develops eight factors and their associated 39 attributes that largely influence achievement of manufacturing flexibility. Out of eight underlying constructs, operational improvement practices construct reported highest level of variance followed by advanced manufacturing technology, human resource practices, supplier flexibility, supplier integration, customer integration, product-process technology integration and marketing and manufacturing integration.

The scope of the study is limited to the plant level. Therefore, other strategic-level factors, such as business strategy, the amount of investment, leadership quality have not been addressed in this research.

The findings can assist managers in improving the level of manufacturing flexibility by specifying key factors essential for achievement of manufacturing flexibility. An important implication for managers is that identification of factors should be followed by proper assessment and implementation so as to remain competitive in the market.

The findings provide insight into the factors that facilitate in achievement of manufacturing flexibility.

The purpose of this paper is to propose a novel integrated approach using analytical hierarchy process (AHP) and technique for order of preference by similarity to ideal solution (TOPSIS) methods for evaluation and prioritization of appropriate manufacturing flexibility type required in the face of multiple environmental uncertainties.

Using a case study of an Indian fashion apparel firm, the study demonstrates the application of the proposed integrated framework for evaluation and prioritization of manufacturing flexibility. The study uses AHP method to determine importance weight of environmental uncertainty criteria and subcriteria and then employs TOPSIS method to determine the final ranking of manufacturing flexibility types required to cope up with these uncertainties.

The findings of the case suggest that the proposed integrated approach is feasible and practically implementable for manufacturing flexibility assessment.

AHP has been extensively studied and used, but the major limitation of this proposed approach is the involvement of large number of pairwise comparisons leading to difficulty in maintaining consistency in pairwise comparisons.

The proposed approach can work as a benchmarking tool to practitioners in evaluating and prioritizing manufacturing flexibility alternatives and to suggest strategic allocation of resource by prioritizing different manufacturing flexibilities types.

Unlike conventional approaches, the study provides meaningful knowledge to decision makers by demonstrating a simple, flexible, and efficient method to evaluate and rank the appropriate manufacturing flexibility types.