Faculty & Research

Research Productive

Show result

Search Query :
Area :
Search Query :
3893 items in total found

Journal Articles | 2018

Minimum wages in India: Current status and future prospects

Biju Varkkey and Rupa Korde

Policy in Focus

Journal Articles | 2018

Learning of a decision-maker's preference zone with an evolutionary approach

Manish Aggarwal

IEEE Transactions on Neural Networks and Learning Systems

A new evolutionary-learning algorithm is proposed to learn a decision maker (DM)'s best solution on a conflicting multiobjective space. Given the exemplary pairwise comparisons of solutions by a DM, we learn an ideal point (for the DM) that is used to evolve toward a better set of solutions. The process is repeated to get the DM's best solution. The comparison of solutions in pairs facilitates the process of eliciting training information for the proposed learning model. Experimental study on standard multiobjective data sets shows that the proposed method accurately identifies a DM's preferred zone in relatively a few generations and with a small number of preferences. Besides, it is found to be robust to inconsistencies in the preference statements. The results obtained are validated through a variant of the established NSGA-2 algorithm.

Read More

Journal Articles | 2018

Learning attitudinal decision model through pair-wise preferences

Manish Aggarwal

Kybernetes

Purpose

This paper aims to learn a decision-maker’s (DM’s) decision model that is characterized in terms of the attitudinal character and the attributes weight vector, both of which are specific to the DM. The authors take the learning information in the form of the exemplary preferences, given by a DM. The learning approach is formalized by bringing together the recent research in the choice models and machine learning. The study is validated on a set of 12 benchmark data sets.

Design/methodology/approach

The study includes emerging preference learning algorithms.

Findings

Learning of a DM’s attitudinal choice model.

Originality/value

Preferences-based learning of a DM’s attitudinal decision model.

Read More

Journal Articles | 2018

Prevention of and interventions in workplace bullying: A global study of human resource professionals' reflections on preferred action

Denise Salin, Renee Cowan, Oluwakemi Adewumi, Eleni Apospori, Jaime Bochantin, and Premilla D'Cruz

The International Journal of Human Resource Management

The aim of this study was to analyze Human Resource Professionals’ reflections on the prevention of and intervention in workplace bullying across different countries. More specifically, the study sought to identify what actions were, in the experience of human resource professionals, best to prevent and intervene in bullying and uncover organizations’ motives for engaging in such work. The study was conducted through semi-structured interviews (n = 214) in 14 different countries/regions, representing all continents and all GLOBE cultural clusters. Qualitative content analysis was performed to analyze the material. The findings indicate that bullying was largely conceptualized as a productivity and cost issue, and that was largely driving efforts to counter bullying. Training and policies were highlighted as preferred means to prevent bullying across countries. In contrast, there were large national differences in terms of preferences for either disciplinary or reconciliatory approaches to intervene in bullying. This study advances our understanding of what human resource professionals consider preferred ways of managing workplace bullying, and adds to our understanding of cross-national differences and similarities in views of this phenomenon. As such, the results are of relevance to both practitioners and scholars.

Read More

Journal Articles | 2018

Workplace bullying across the globe: A cross-cultural comparison

Denise Salin, Renee Cowan, Oluwakemi Adewumi, Eleni Apospori, Jaime Bochantin, and Premilla D'Cruz

Personnel Review

Purpose

The purpose of this paper is to analyze cross-national and cross-cultural similarities and differences in perceptions and conceptualizations of workplace bullying among human resource professionals (HRPs). Particular emphasis was given to what kind of behaviors are considered as bullying in different countries and what criteria interviewees use to decide whether a particular behavior is bullying or not.

Design/methodology/approach

HRPs in 13 different countries/regions (n=199), spanning all continents and all GLOBE cultural clusters (House et al., 2004), were interviewed and a qualitative content analysis was carried out.

Findings

Whereas interviewees across the different countries largely saw personal harassment and physical intimidation as bullying, work-related negative acts and social exclusion were construed very differently in the different countries. Repetition, negative effects on the target, intention to harm, and lack of a business case were decision criteria typically used by interviewees across the globe – other criteria varied by country.

Practical implications

The results help HRPs working in multinational organizations understand different perceptions of negative acts.

Originality/value

The findings point to the importance of cultural factors, such as power distance and performance orientation, and other contextual factors, such as economy and legislation for understanding varying conceptualizations of bullying.

Read More

Journal Articles | 2018

Racial/ethnic parity in disciplinary consequences using student threat assessment

Dewey Cornell, Jennifer Maeng, Francis Huang, Kathan Shukla, and Timothy Konold

School Psychology Review

School psychologists are frequently called upon to assess students who have made verbal or behavioral threats of violence against others, a practice commonly known as threat assessment. One critical issue is whether the outcomes of a threat assessment generate the kind of racial disparities widely observed in school disciplinary practices. In 2013, Virginia became the first state to mandate threat assessment teams in all public schools. This study examined the disciplinary consequences for 1,836 students who received a threat assessment in 779 Virginia elementary, middle, and high schools during the 2014–2015 school year. Multilevel logistic regression models found no disparities among Black, Hispanic, and White students in out-of-school suspensions, school transfers, or legal actions. The most consistent predictors of disciplinary consequences were the student's possession of a weapon and the team classification of the threat as serious. We discuss possible explanations for the absence of racial/ethnic disparities in threat assessment outcomes and cautiously suggest that the threat assessment process may reflect a generalizable pathway for achieving parity in school discipline.

Read More

Journal Articles | 2018

Hesitant information sets and application in group decision making

Manish Aggarwal

Applied Soft Computing

The recent information set theory provides a useful mechanism to represent an agent’s perceived information values. However, often a decision-maker (DM) considers multiple evaluations for the same information source value. To this end, we extend the recent information set as hesitant information set (HIS). It gives the multiple perceived information values, corresponding to an information source value. In the context of multi-attribute decision making, HIS represents a set of different possible subjective utilities that an agent may perceive as an evaluation of an alternative-attribute pair. The basic operations, and properties of HIS are investigated. A few information measures based on HIS are presented. Besides many illustrative examples, a real application in group multi attribute decision making problem is included.

Read More

Journal Articles | 2018

Generalized attitudinal Choquet Integral

Manish Aggarwal

International Journal of Intelligent Systems

Attitudinal Choquet integral (ACI) extends Choquet integral (CI) through a consideration of a decision-maker's (DM's) attitudinal character. In this paper, we generalize ACI, and the resulting operator is termed as generalized ACI (GACI). GACI adds to the efficacy of the ACI in the representation of a DM's unique and complex attitudinal character. It also generates a vast range of exponential ACI operators, such as harmonic ACI, ACI, quadratic ACI, to name a few. We further present induced GACI to consider additional information that may be associated with the arguments of aggregation. The special cases of the proposed operators are investigated. The usefulness of the proposed operators in modelling human decision behavior is shown through a case study.

Read More

Journal Articles | 2018

Decision aiding model with entropy-based subjective utility. Information Sciences

Manish Aggarwal

Information Sciences

An entropy-based method is presented to model a decision-maker’s (DM’s) subjective utility for a criterion value. The proposed method considers distribution of all the values that the criterion takes for the given set of alternatives. Based on the utility so modeled, and and the DM’s attitudinal character, a multi criteria decision aiding (MCDA) approach is developed to find the best alternative. The proposed method and the approach are applied in a real car selection case-study.

Read More

Journal Articles | 2018

Constitution, Supreme Court and Regulation of Coal Sector in India

M P Ram Mohan and Shashikant Yadav

NUJS Law Review

The paper maps four decades of coal sector litigation before the Supreme Court of India and draws a narrative on the constitutional contestation and the legal position as it stands today. Coal is one of the most important minerals from an economic perspective, accounting for over sixty percent of India’s energy requirement. The Constitution of India empowers both the Centre and states with legislative powers relating to regulation and control over mines and minerals, including coal. The coal sector has witnessed highly contested and protracted litigation with respect to law-making powers between the Centre and state governments, and this has impacted business and society in many ways. Through a mapping of judicial decisions of Supreme Court, the contested nature of governance of Indian coal sector is detailed in the paper. The Court has consistently maintained a greater responsibility of regulating mines and mineral development on the Union government. However, advocating sustainable use of coal resources, the Court emphasised that the regulatory power vested with Centre and states must have its basis on public interest and coal must be treated as a material resource of the community.

Read More
IIMA