Over the past two decades, the aviation sector has seen dramatic growth in demand with limited support in terms of supply, due to under-development of the larger airport infrastructure. This has led to congestion and delays at major airports across the world. The topic of ‘airport capacity management’ (ACM) has thereby attracted considerable scholarly attention. From our review of extant literature, we find an extensive repository of research work related to ACM, vis a vis its inherent role and the expected output. Nevertheless, extant literature has failed to conduct a systematic literature review on ACM in order to understand its evolution over time. Therefore, we analyze ACM literature in detail to grasp and evaluate the work being done thus far, using bibliometric analysis. Our analysis reveals that airport capacity, congestion, competition and ground holding problems are important keywords related to ACM. Further, using co-citation analysis we identify 5 broad clusters and thought pattern of researchers. We also propose a flowchart of literature with major research area related to ACM. Finally, we note that the Journal of Air Transport Management (JATM) with 1086 citations and 109 documents tops the list of journals publishing papers on ACM. © 2020 Elsevier Ltd

In today’s exceptionally demanding education domain, there is a critical need for higher education institutes to continuously improve their credibility and skill offerings for prospective students. More specifically, institutes need to know how they are evaluated and perceived by the prospective students. Though there are plethora of rating agencies that perform an independent evaluation, their assessment is primarily focused on internal institute practices rather than how students’ needs and perceptions be captured. The objective of this study is to evaluate how students rank a higher education institute for taking admission that is the most crucial decision while starting their long-term career. Academic experts and prospective engineering students are surveyed using interviews and convenience sampling method. As a result, the problem evolves as a multi-criteria decision-making problem that considers numerous criteria simultaneously. Considering the relevant criteria as inputs and outputs, the Data Envelopment Analysis is employed to evaluate the weights corresponding to each criterion/factor. The model is then deployed as a linear programming formulation that is tackled using professional linear programming solver. The engineering stream, fees, location, and perceptions of employment opportunities are found as the top parameters that drive the decision of a prospective engineering student. The identified important factors, interests, and capabilities of the student are amalgamated for the selection of the appropriate engineering stream and institute, optimally. The insights are important for engineering institutes to strategize and align their offerings and marketing approach as per the needs and perceptions of prospective students. The study will also be helpful for international universities looking ahead for collaborative and individual opportunities in the Indian education sector. © 2021, Operational Research Society of India.

Successful new product development projects and extant research literature advocate for inclusion of inputs pertaining to the supply chain at early stages of product development to proactively identify risk averse product design concepts. To this end, we devise an analytical framework to converge upon product design concept(s) that would be associated with lesser supply chain risks, usually function of both technical and commercialization considerations. The high-level and constituent lower-level supply chain risks are represented by parent and root nodes respectively within the devised Bayesian network driven research framework. Thereafter, a quantitative measure denoted as SCRI (supply chain risk index) is evolved that yields overall composite risk numbers corresponding to respective design concepts at different risk states. Validation and comparison of the devised method with an extant study illustrates the consistency and reliability of the study. It is found that the risk propensity of a particular design concept is inversely related to the probabilistic utility of that particular concept. The case of a construction power tool of a global firm is used to demonstrate the methodology. Our research addresses an important future research pathway as argued by Hosseini et al. (2020) that extant research literature is devoid of decision-making frameworks focused on measurement and analysis the propagation of risks on complex networks. © 2020 Elsevier Ltd

This study investigates the effects of economic policy and financial market uncertainties on Indian imports. For this purpose, we consider a panel of 97 commodities imported to India during the period: September 2011 to January 2019. We utilize two panel estimation techniques, the Pooled Mean Group (PMG) and Cross-sectionally Augmented Distributed Lag (CS-DL), for the analyses. In the short-run, we find that economic uncertainty leads to more imports to India. Conversely, in the long-run, it has a dampening effect. Our estimates also reveal that both domestic and global economic uncertainties have a considerable impact on Indian imports. However, we do not find any noticeable impact of financial market uncertainty on the imports. For robustness purposes, we also make use of aggregated import data for a longer time-horizon. These results fairly validate the findings of the commodity-level analysis. Finally, our sectoral-analysis suggests that the imports of primary products are more sensitive to the policy uncertainty than those of the manufacturing products. Given that, our study offers detailed policy suggestions in the context of an emerging economy. © 2020 Elsevier B.V.

The present study contributes to the literature on Machiavellianism by determining how Machiavellianism leads to impression management (IM) motives. Using a longitudinal survey design, we obtained data from 404 young professionals (Mage = 24.38 years; SDage = 1.72 years) and tested a mediation model where Machiavellianism associates with IM motives through social astuteness and networking ability. This empirical study contributes to the theory on Machiavellianism by providing preliminary evidence of the mediating effects of social astuteness and networking ability on the positive relationship between Machiavellianism and IM motives. © 2020 Elsevier Ltd

This paper analyses the impact of a newspaper-based uncertainty associated with infectious diseases (EMVID) on the level, slope and curvature factors derived from the term structure of interest rates of the US covering maturities from 1 year to 30 years. Results from nonlinearity and structural break tests indicate the misspecification of the linear causality model and point to the suitability of applying a time-varying model. A DCC-MGARCH framework is thus applied and the results indicate significant predictability of the three latent factors from the EMVID index at each point of the entire sample, and also provide evidence of instantaneous spillover. Finally, the results of measuring safe-haven characteristic of the US Treasury market show that US treasuries with long-term maturities as captured by the level factor are consistently negatively correlated with the EMVID index, i.e., they act as a safe-haven, with the slope factor (medium-term maturities) following this trend since 2007, and the slope factor (short-term maturities) also showing signs of a safe-haven since May of 2020. Overall, the findings provide reasonable evidence that US Treasury securities can hedge the risks associated with the financial market in the wake of the current COVID-19 pandemic. © 2020 Elsevier Inc.

Purpose: Data were collected using a survey questionnaire of 379 participants from business process outsourcing (BPO) organizations affected by robotic process automation (RPA). Structural equation modelling and hierarchical regression analysis were used to test the hypothesized relationships between the study variables. Design/methodology/approach: The purpose of this paper is to develop and test a moderated-mediation model examining the relationships between uncertainty around changes due to RPA, neuroticism and job insecurity, and turnover intentions among BPO employees in India. Findings: Uncertainty around RPA and neuroticism cause job insecurity among employees resulting in their intent to quit the organization. Further, the impact of job insecurity is influenced by employees' commitment to automation. Outlining the ways in which RPA-driven change impacts employees and organizations, our findings underscore the need for upskilling the affected employees besides developing coping mechanisms as a buffer to the negative impacts of large-scale automation-driven transformation in the industry under study. Originality/value: Amidst the debate around the impact of RPA in developing countries, our research is the first attempt to systematically examine how RPA has led to concerns around job security leading to turnover intention among employees in the Indian BPO sector. It uniquely highlights the role of personality besides the issue of growing uncertainty due to RPA, requiring the immediate attention of organizations. © 2020, Emerald Publishing Limited.

This study examines the performance of institutional trades in the context of recent analyst recommendation changes. We report several findings. First, institutional trades depend little on sell-side activity; they go against recent recommendation changes about as often as with them. Second, abnormal returns to institutional trading are negative, a finding consistent with the previous literature. Third, returns are most harmful when trades go against recent analyst recommendation changes. Fourth, institutional investment returns are still negative, but much less so, for trades that occur in quarters following no change in the consensus recommendation, yet are significantly positive for trades in accordance with previous recommendation changes. The difference in return between trades that agree with and trades that disagree with previous recommendation changes is 4–5.5% in the next quarter. Our results strongly suggest that institutional managers could increase their returns by merely following sell-side analysts' advice more often. © 2021, The Author(s), under exclusive licence to Springer Science+Business Media, LLC part of Springer Nature.

This study theoretically examines the role of the ethical rating agencies. First, in an infinitely repeated game framework, it shows that hotels with low environmental, social, and governance risk would prefer to signal their worthiness to isolate them from risky ones. Next, by employing the Bayesian approach, this study shows that a socially responsible investment (SRI) would advise a hotel to obtain an ethical rating when the expected value of sample information turns positive. This analysis could guide future empirical investigation and policy frameworks about the ethical screening. © 2020 Elsevier Ltd

We analyse the out-of-sample forecasting ability of a time-varying metric of risk aversion for the entire term structure of US Treasury securities as reflected by the three latent factors, level, slope and curvature. Daily data cover the out-of-sample period 22nd June 1988 to 3rd September 2020 within a quantiles-based framework. The results show statistically significant forecasting gains emanating from the inclusion of risk aversion for the tails of the conditional distributions of the quantiles-based models of the level, slope and curvature factors. The forecasting gains are shown in lower mean squared forecast errors at horizons of one-day, one-week, and one-month-ahead. © 2021

Purpose: This study aims to explore how some organizational leaders are making successful attempts toward making “social contributions” toward the underprivileged or needy stakeholders in the society. This study suggests empirical themes about behavioral patterns of such organizational leaders and illustrates the need to transcend erstwhile “avoid harm” socially responsible leadership. Design/methodology/approach: Data were collected on 52 Indian organizational leaders and were analyzed following the guidelines of constructionist grounded theory. Findings: Findings suggested that organizational leaders who facilitated some form of social contributions in the life of different stakeholders had “unconditional adherence to social contributions,” they were “pertinacious about going the extra mile” to facilitate social contributions and at times their “existence as an enthusiastically innovative change agent” also facilitated social contributions to the lives of different stakeholders. Social implications: This study might initiate discussion around the behavioral patterns of organizational leaders who are attempting to make society a better place by leading or facilitating social contributions. Identified exemplary behavioral patterns might encourage more exploratory studies directed toward the identification of other forms of socially contributive leadership attributes. Originality/value: Emphasis on investigating corporate social responsibility (CSR) from individual-level perspective advocated the importance of the psychological foundation of CSR. This study empirically identifies behavioral patterns that characterize organizational leaders who had a strong commitment to make social contributions to society. Patterns identified corresponded to cognitive and behavioral approaches of organizational leaders that were instrumental in actualizing social contributions to the Indian society. © 2020, Emerald Publishing Limited.

The police are a state institution that citizens are familiar with, but the perception of this institution among the people depends on the amount of trust vested in the police. Empirical application of ordered probit models on the India Human Development Survey-II data set suggests that the recent experience of violence faced by a household affects its trust in the police significantly. The trust varies widely across regions and communities in India, both for households that did or did not experience recent violence. Training the police forces them to approach cases with empathy and a shift to community-based policing may help to bridge the trust deficit. © 2021 Economic and Political Weekly. All rights reserved.

We conduct a comparative assessment of the spillovers of three types of Fed's monetary policy surprises, i.e., Fed funds rate (FFR), Forward guidance (FG), and Large-scale asset purchases (LSAP) on monetary autonomy in the periphery economies (PEs). We find these shocks to be significant in causing loss of monetary autonomy in the PEs. We also find that the macroprudential tools mitigate the degree of such impairment. This holds for two types of macroprudential policies, i.e., borrower-targeted and financial institutions-targeted. We find both of them to be most effective against the FFR shocks. Comparing the macroprudential tools, we find the financial institutions-targeted tools to be more effective than the borrower-targeted ones in mitigating the degree of impairment against all types of Fed shocks. © 2020 Elsevier B.V.

In this paper, we evaluate the performance of major public road transport organizations in India. The contribution of the paper lies in integrating four multicriteria decision-making (MCDM) techniques to assess the relative performance of public road transportation systems on twenty-three criteria across two consecutive years. The paper classifies the criteria into functional heads and establishes the relative importance of heads using the analytical hierarchical process (AHP). The efficiency scores of each organization referred to as a decision-making unit (DMU) were computed for the classified heads using the Data Envelopment Analysis (DEA) approach. The multicriteria optimization and compromise solution technique "VlseKriterijumska Optimizacija I Kompromisno Resenje"(VIKOR) was used to assign a final rank to each of the DMUs using computed efficiency scores and established weights. Finally, we analyzed the performance of the DMUs across the two consecutive years using the Malmquist Productivity Index (MPI). Our key findings are as follows: First, the performance of all DMUs has improved in the second year with respect to the first year; second, significant improvement is observed in the "expenses"functional head which carries a substantial weight among the functional heads; third, barring few DMUs, the performance of the majority of DMUs has worsened in the "accident"functional head; fourth, while few DMUs have been consistently very good performers in both the years, there are also few DMUs which have consistently performed poorly in both the years. The inferences drawn from the study can be leveraged for future policy formulations by the state government and local municipal corporations and for sharing best practices among the DMUs. © 2020 Anand Kumar et al.

The asymmetric vehicle routing problem with simultaneous pickup and deliveries is considered. This paper develops four new classes of valid inequalities for the problem. We generalize the idea of a no-good cut. Together, these help us solve 45-node randomly generated problem instances more efficiently. We report results on a set of benchmark instances in literature. In this set, we are able to show an order of magnitude improvement in computational times over currently published results in literature. © 2019 Elsevier B.V.

Due to high consumption of energy, its associated concerns such as energy security and demand, wastage of resources, and material-energy recovery are leading to the importance of sustainable energy system development. This is a high time to assess the sustainability in energy systems for meeting the requirements of energy with an enhanced economic, ecological, and social performance from a nation context. The energy system plays a significant role in deciding the economic progress of emerging economies such as India, China, Brazil, and Africa. In this paper, an original attempt has been made to list and evaluate important indicators for sustainability assessment of energy systems development and management in an emerging economy especially India. Firstly, based on the analysis of the extant literature and then followed by expert opinion, potential key sustainability assessment indicators for energy systems development and management were identified. Further, grey based Decision-Making Trial and Evaluation Laboratory technique to understand the causal interactions amongst indicators and segregate them into cause and effect groups, is used. This work can provide useful aids to decision making bodies, sustainability practitioners and business organisations in selective implementation, monitoring and control of sustainable strategies in energy systems development and management and meeting sustainable development goals of clean energy in a nation context. © 2019

Information Technology (IT) infrastructure has been integral to operational excellence approaches towards sustainable supply chains. The paper explores the crucial barriers to IT implementation in the largely unorganized logistics sector of an emerging economy, India. Through a comparative study using two separate expert-groups, representing the organized and unorganized logistics sectors respectively, the paper analyses their views on the criticality of barriers in each sector and highlights the sector-specific problems that hinder effective IT implementation. Considering the profiles of the expert groups used, the paper implements Fuzzy-ISM and Fuzzy-MICMAC analysis for one group and IRP for the other to capture and analyze their opinions appropriately. The results obtained from the analyses show that the barriers concerning IT implementation in the unorganized logistics sector (ULS) substantially differ from those concerning the organized logistics sector (OLS) as perceived by the corresponding sector experts. The study ranks the barriers in the two sectors and highlights the focus areas that require immediate attention to strengthen the IT infrastructure of Indian ULS, which suffers mainly from behavioral issues at the organizational level. Focused attention to unorganized sector's requirements can revive the sector and smoothen its transformation to an organized one as exceedingly demanded by the recent e-commerce boom. The work is perhaps the first to address the Indian ULS. It implements a unique approach: seeks inputs from two different expert groups, implements tools appropriate to the respective panel profiles, and compares their opinions to identify the specific and different requirements of the Indian ULS with respect to IT implementation. © 2019 Elsevier B.V.

Purpose: The purpose of this study is to investigate the adaptive market hypothesis (AMH) for 21 major global market indices for the period 1998–2018. These market indices cover the 16 largest global financial markets. Design/methodology/approach: Quantile-regression methodology is employed to examine the market efficiency of a large number of financial markets from America, Europe and the Asia–Pacific region. Findings: The results show that the returns in higher quantiles are negatively autocorrelated, and those in lower quantiles are positively autocorrelated. This evidence is stronger for the tails of return distribution. The positive autocorrelation (momentum effect) suggests market underreaction, and the negative autocorrelation (reversal effect) suggests overreaction. Overall, market efficiency appears to be time-varying and conditioned to the state of the market. Originality/value: This study offers considerable evidence in favor of the AMH, for a large number of financial markets. These markets are substantially different from each other in terms of geography, nature of operation and size of the economy. The results from this study would be helpful to the academics, regulators and practitioners interested in financial markets. © 2020, Emerald Publishing Limited.

This paper performs a systematic review of the research literature in the field of agritourism. In the study, using a structured literature review methodology, established as well as emerging research clusters have been identified for epistemological analysis. Such analysis helps in the identification of key research topics, interrelations, and collaboration patterns in the field of agritourism and other research areas involving similar concepts. Graphical mapping of the agritourism research field is done using visualization of similarities (VOS). VOS software analyzed bibliographic data of 459 research publications obtained from Web of Science and Scopus databases from a period of 1980–2019. This graphical mapping illustrated the authors’ and countries’ contributions, their collaboration, and publication pattern over the period. This paper gives insights about majorly studied research themes and also identified common areas of current research interest and potential directions for future research. © 2020, © 2020 Informa UK Limited, trading as Taylor & Francis Group.

Knowledge transfer, both tacit and explicit, is critical. In India skill development in most small and medium scale industries are heavily dependent on utilization of local skills and learning curve is long especially in skill based industries. This study discusses and develops a model based on the analytic hierarchy process (AHP) framework (both simple and fuzzy based) for selecting the right process to impart knowledge. Additionally, study charts demonstrate and verify the feasibility and effectiveness of the proposed AHP-based algorithm. Finally, sensitivity analysis tests the stability of the priority ranking. A comparison is also made by applying fuzzy models to the AHP technique. We conclude from both AHP and fuzzy AHP analysis that the most stable approach to impart training to a variety of subjects with different learning curves and intellectual and motivation levels is through animation displays. Copyright © 2020 Inderscience Enterprises Ltd.