The relevance of emotions in teaching is now a widely studied aspect, although contemplation on how the teachers are able to realize, regulate and control their emotions is being deliberated upon. The article attempts to understand the concept of emotional intelligence (EI) in higher education teachers and how it can be incorporated in effective teaching as emotional intelligence competencies (EIC) for superior performance. The technique of structural equation modelling (SEM) has been applied to validate and propose a model for EI-based teaching competencies and their relation with the core competencies. It was statistically proven that EIC have a strong impact on attitude of teachers which in turns contribute highest towards superior performance. The study contributes towards research in the field of EI in teaching and suggests that institutes should give critical importance to enhancement of EIC and accordingly implement suitable training programmes for ensuring effective teaching and superior performance.

PurposeThe purpose of this paper is to carry out queuing analysis to analyse patient load in outpatient and inpatient services to facilitate more realistic resource planning.Design/methodology/approachThe paper adopts an analytical approach based on real life data (e.g. not a priori or an academic one where data are mingled to fit a theoretical stance) in accordance with the service level prescribed by the hospital administration. A service level is usually specified in terms of admissible range of queuing characteristics, such as mean patient waiting time, reduction of inordinate delays, incidences of minimum delays, average queue length, etc. which the management of a health organisation may decide to aim and control.FindingsQueuing analysis reported in this case study provides a basis for estimating medical staff size and number of beds, which are two very important resources for outpatient and inpatient services in a large hospital, and all other hospital resources in one way or another depend on them.Research limitations/implicationsThe study challenges and aims to replace thumb‐rule approaches, which can be very conveniently carried out with efficient computer aids available at present for any hospital. Queuing analysis provides valuable insights into a hospital system, though it may not be the best approach as several underlying assumptions may not always hold true. In hospitals, for example, there can be several interacting queues, many of which could be cyclic with interaction among them. Accordingly, treatment of each queue individually, independent of others may not be a valid assumption.Practical implicationsMedical staff (doctors) and beds are very basic hospital resources, which largely depend on the hospital load in terms of arrival rates of patients in outpatient and inpatient services. When hospitals are adequately staffed and equipped in terms of beds and other key resources, it is unlikely that patients will turn away to other hospitals for treatment and there will be all round satisfaction with the hospital performance.Originality/valueThe authors do not claim the findings to be novel or unique but rather more well‐documented and comprehensive in coverage than available in existing literature. The practice‐based themes such as this well‐documented case study may evoke global interest as a multiplier effect for using such methodologies for resource planning in hospitals.

Purpose The technological advances worldwide are posing challenges for the teaching fraternity. However, certain competencies can enable the teachers to enhance their performance by managing self and adopting flexible teaching and learning tools. The purpose of this paper is to identify, analyse and model such competencies with special reference to emotional intelligence and social media competencies (SMCs). A competency framework is developed and a subsequent performance ranking system is derived in this study. Design/methodology/approach The statistical approach of multiple regression using partial least square based strucutural equation modelling is used for model development by estimating the impact of various competencies on performance. The technique of analytical network process is applied to derive a performance management system for ranking employees. Findings The paper estimates the relative impact of various competencies on superior performance of teachers, thus enabling to develop a competency model. A performance management and ranking system has also been developed. Practical implications A working practical model for performance management and ranking of teachers is developed on the basis of different criteria having different weightage. The ranking model can enable to develop suitable strategies for making effective recruitment and appraisal decisions. Originality/value The performance management model integrates emotional intelligence competencies, SMCs along with knowledge, skills and attitude, to develop fair and weightage-based performance ranking system.

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This article aims to review the concept of team emotional intelligence (TEI) and propose a conceptual model for its enhancement. It seeks to analyze the past literature on TEI and attempts to identify and derive a relationship between different variables that influence it. The technique of interpretive structural modelling (ISM) has been used to identify the strongest and weakest drivers of TEI. The relationship between the individual- and team-level variables was established to develop a theoretical model for enhancement of TEI. The model will help organizations to focus on the right variables to enhance TEI, thus producing effective teams and efficient results. The article adds a new dimension to the approach of TEI by proposing a model for enhancing it. It also studies the different variables of TEI at individual and team levels and their interrelationships, which have not yet been explored extensively.