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Purpose: Higher education management institutions play a vibrant role in imparting managerial skills to the students to face the corporate world. Performance evaluation of such institutions is mandate to ensure the outcome quality. To establish this, the present research explored the critical performance indicators of management institutions using the balanced scorecard (BSC) approach. Design/methodology/approach: This research explored the critical performance indicators of public, private and standalone management institutions in India. Data were collected from the representative sample of all the stakeholders in those management institutions. A specific vision was created and a systematic procedure was employed to arrive at the objectives, measures and metrics of the scorecard specific to the vision. Confirmatory factor analysis was used to perform analysis on the collected data. For the objectives and measures that evolved from confirmatory factor analysis, metrics were formulated based on the expert opinion. Findings: The study resulted in 16 objectives, 46 measures and 54 metrics encompassing all the four perspectives of BSC. This paper has contributed a concrete, concise, comprehensive and context specific framework. Research limitations/implications: The nature of the BSC framework paves the way for continuous assessment and eventually helps the institutions to attain sustainable growth. This research contributes to the literature of balanced scorecard and also to the performance assessment of the management institutions. Originality/value: BSC-based benchmarking is a unique contribution to the academia of management education to precisely measure the performance of institutions. The model comprehensively includes the indicators from all the perspectives of stakeholders in terms of objectives, measures and metrics, thus proposing a holistic assessment. [ABSTRACT FROM AUTHOR]

Identification and retention of talented workforce is of utmost importance in the current career scenario. This research studied mediating role of individual career self-management and tested a theoretical model examining direct and indirect relationships among perceived organizational support (POS), psychological empowerment (PE), individual career self-management (ICM) and affective commitment (AC). Data was collected from a sample of 270 IT employees designated as 'talent' in their respective organizations from the southern part of India. We employed structural equation modeling technique to test proposed research hypotheses. The result supported the idea that perceived organizational support and psychological empowerment positively affects individual career self-management. Individual career self-management was the significant antecedent of affective commitment. Regarding mediation hypothesis, individual career self-management was found to fully mediate the relationship between psychological empowerment and affective commitment. Further, it acted as partial mediator between perceived organizational support and affective commitment. Implication for future research and practices are discussed. [ABSTRACT FROM AUTHOR]

Incorporating corporate social responsibility (CSR) initiatives in an organization is identified as a strategic tool for achieving sustainable performance. The objective of this research was to examine the conceptual framework that relates adoption of CSR initiatives, green practices both product and process related practices and the effect of these practices on performance and employees' pro-environmental behavior (PEB) at work. After a review of the literature, seven hypotheses have been proposed and tested with green practices as a mediating variable. Adoption of green practices was found to partially mediate the relationship between CSR and performance while the mediating relationship of green practices between CSR and employees' PEB at work was found to be insignificant. This research extends to the body of extant literature by establishing the results of the conceptual framework and in addressing the implications for India. The results also highlight how organizations can include CSR initiatives and green practices synergistically to enhance performance and PEB at the workplace for corporate sustainability. Further study is required to explore how the constructs are related at two different time periods and across the dimensions. Image 10193 • Amongst the CSR items, customers role was significant followed by other stakeholders. • Process centred approach is recommended during the adoption of green practices. • Market performance scored higher than operations, environmental, cost performance. • Green practices partially mediated the relationship between CSR and performance. • The effect of CSR on PEB and green practices on PEB was significant. [ABSTRACT FROM AUTHOR]

Purpose: The purpose of this paper is to understand the impact of transformational leadership (TL) on follower emotional intelligence (EI) and examine the potential mediation role played by follower EI in the relationship between TL and follower outcomes (i.e. growth satisfaction in the job and job stress (JS)). Design/methodology/approach: Data were obtained through survey using questionnaire collected from 908 employees who worked across six different sectors, i.e. manufacturing, IT, healthcare, hospitality, educational and public services in Southern India. The mediation model proposed in this study was tested using structural equation modelling and bootstrapping method. Findings: The relationship between TL and Follower EI was significant. Follower EI was found to partially mediate the relationship between TL and followers' growth satisfaction in job. Contrary to expectations, the follower EI did not significantly predict JS in this study and hence the follower EI did not mediate in the proposed model. However, follower EI and growth satisfaction in the job jointly mediated the relationship between TL and follower JS fully. Research limitations/implications: Self-report bias about supervisors' TL behaviours and followers' own EI assessment and collection of data from the mono-source (subordinate self-report) might have impacted the results of this study. Moreover, some items were negatively worded and reverse coded as cognitive speed bumps to restrain the respondent's tendency to rush through answering the survey questionnaire. Practical implications: This study established a partial and joint mediation of follower EI on the relationship between TL and follower outcomes. Basing on these findings, this study highlights the need for the practitioners to better understand the importance of EI training for the leaders in the organisations for obtaining better outcomes in the followers. Social implications: The study establishes the fact that the attunement of transformational leaders' EI and follower EI help leaders as well as followers to guide their behaviour towards positive outcomes. Originality/value: This study is among the first to examine the impact of TL on follower EI and the potential mediation of follower EI between TL and follower outcomes. From a theoretical perspective, this study is one step closer to fully understand the intervening process between TL and follower outcomes. [ABSTRACT FROM AUTHOR]

Energy is found to be a vital input for the economic growth of any nation. In India, which is a developing country, energy is found to be one of the major drivers of economic development. Review indicates energy consumption is linked to socioeconomic variables like GNP, price of energy, and population. In this article, econometric models are developed to study the influence of the socioeconomic variables on energy consumption. The best fit is determined usingR2, SE, and Durbin Watson (DW) statistic. ‘t’ test is conducted to find the significant variables influencing energy demand. It is found that coal price and population influence the demand for coal, whereas GNP per capita influences the demand for oil. Electricity demand is dependent on the GNP and electricity price. The coal, oil, natural gas, and electricity requirement for India during 2030–2031 is forecasted and the total energy requirement is found to be 22.944 × 1015kJ. [ABSTRACT FROM AUTHOR]

A hybrid solar linear concentrator (HSLC) based on photovoltaic linear concentrator technology is capable of delivering both electricity and hot water for satisfying urban energy needs. The net output of such a system plays a major role in determining the benefit to cost ratio of such a system. Different approaches were tried in this article to consider the thermal energy in equivalent electrical energy terms to determine the net output of the system under select meteorological conditions. A sensitivity-based study is conducted based on these approaches considering the maintenance cost, payback, net present values and benefit to cost ratios. The capital cost of the system at Rs 200,000 to Rs 300,000 yielded a benefit to cost ratio of 1.79 to 3, respectively whereas the same cost structures had an internal rate of return of 10.4% and 5.2%, respectively. When compared to the actual market price of the HSLC system, carbon credits earned during the lifetime operation of the HSLC system were useful for the mitigation of the high investment costs. [ABSTRACT FROM PUBLISHER]

The techno-economic viability of a combined heat and power system (CHAPS) for urban areas in India is analyzed in this paper. This approach considers the electrical and thermal energy delivery subsystems for which the cost considerations were based on the present market values. A sensitivity study based on capacity utilization factor (CUF) was carried out to evaluate the unit cost of electricity produced. Other financial figures of merit like simple payback and internal rate of return were also calculated. It is observed that when the system utilization was 0.3, the payback of the system is attained within the CHAPS' lifetime of 20 years. Based on the economic evaluation, it is evident that favorable financial benefits for a typical system with a collector area of 4.5 m2 will occur if the system cost is limited in the range of Rs 100,000 to Rs 120,000. A comparison with the actual CHAPS system cost based on the current market price is done and the difference is off set by the carbon credits earned by the CHAPS system during its lifetime due to CO2 mitigation. The carbon credits earned by the CHAPS system caused a reduction of the unit cost of electricity generated from Rs 11.02/kWh to Rs 9.0973/kWh. This study further helps to introduce the CHAPS system in the Indian market at an acceptable price for the consumers. [ABSTRACT FROM PUBLISHER]

Purpose - Renewable energy sources are likely to play a major role in meeting the future energy requirement of a developing country like India. Among the various renewable energy sources, the bio-energy plays a key role for the power generation. In this paper, an attempt is made to develop a fuzzy based linear programming optimal electricity allocation model (OEAM) that minimizes the cost and determines the optimum allocation of different energy sources for the centralized and decentralized power generation in India with special emphasis to bio-energy. Design/methodology/approach - The OEAM model optimizes and selects the appropriate energy options for the power generation on the factors such as cost, potential, demand, efficiency, emission and carbon tax. The objective function of the model is minimizing the cost of power generation. The other factors are used as constraints in the model The fuzzy linear programming optimization approach is used in the model. Findings - The extents of energy sources distribution for the power generation in the year 2020 would be 15,800 GWh (4 per cent) from the coal based plants, 85,400 GWh (20 per cent) from the nuclear plants, 191,100 GWh (44 per cent) from the hydro plants, 22,400 GWh (5 per cent) from the wind mills, 45,520 GWh (11 per cent) from the biomass gasifier plants, 14,112 GWh (3 per cent) from the biogas plants, 8,400 GWh (2 per cent) from the solid waste, 33,600 GWh (8 per cent) from the cogeneration plants and 11,970 GWh (3 per cent) from the mini hydel plants, respectively. Originality/value - The OEAM has been developed for the electricity demand allocation for the year 2020. An extensive literature survey revealed that carbon tax and emission constraints were never used in the previous models and they are considered in the present model. [ABSTRACT FROM AUTHOR]