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1 – 10 of 124
Article
Publication date: 9 February 2021

Umayal Palaniappan, L. Suganthi and Shameem Shagirbasha

Higher education management institutions play a vibrant role in imparting managerial skills to the students to face the corporate world. Performance evaluation of such…

Abstract

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.

Details

Benchmarking: An International Journal, vol. 28 no. 8
Type: Research Article
ISSN: 1463-5771

Keywords

Article
Publication date: 12 April 2018

Angeline Gautami Fernando, Bharadhwaj Sivakumaran and L. Suganthi

Second-hand/used goods channels compete with existing traditional channels to satisfy consumers’ needs that are unmet by traditional retail networks. However, most studies…

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Abstract

Purpose

Second-hand/used goods channels compete with existing traditional channels to satisfy consumers’ needs that are unmet by traditional retail networks. However, most studies on online shopping have largely ignored online second-hand/used good purchases. This study aims to use Thaler’s mental accounting model, principal–agent perspective and contamination theory to highlight the differences in the value sought by online new goods and second-hand shoppers.

Design/methodology/approach

A conceptual framework linking perceived uncertainty, perceived acquisition value and e-loyalty was developed and tested using structural equation modelling. The moderating effects of product type (new vs second-hand) and frugality were also included.

Findings

The paper found strong support for the model. Results showed that online second-hand shoppers were more uncertain and perceived lesser levels of acquisition value when compared to new goods shoppers. They were also less frugal. Online shoppers are also more likely to buy products with sensory attributes (experience goods) in new goods websites and products with non-sensory attributes (search goods) from second-hand websites. The authors recommend various ways in which managers can increase perceived value for the online shopper.

Research limitations/implications

Future studies can extend this investigation by including transaction value or other hedonic values to verify their impact on acquisition value and e-loyalty. While the authors found support for the notion that consumers who buy used goods online are less frugal, there is some research that could point to the opposite. Hence, research can investigate this topic in depth in more countries to throw more light on this.

Practical implications

To sustain themselves in a competitive online market, retailers need to understand the value sought by consumers. This study provides empirical evidence of the importance of acquisition value for new goods and second-hand shoppers.

Originality/value

No recent research has compared the value sought by online second-hand and new goods shoppers. This study contributes to the understanding of the acquisition value perceived by consumers in online new goods and second-hand shopping channels.

Details

European Journal of Marketing, vol. 52 no. 7/8
Type: Research Article
ISSN: 0309-0566

Keywords

Article
Publication date: 13 May 2019

J. Irudhaya Rajesh, Verma Prikshat, Paul Shum and L. Suganthi

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…

2733

Abstract

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.

Details

Personnel Review, vol. 48 no. 5
Type: Research Article
ISSN: 0048-3486

Keywords

Article
Publication date: 5 September 2016

Angeline Gautami Fernando, Bharadhwaj Sivakumaran and L. Suganthi

Previous green research shows conflicting results regarding the relationship between environmental concern and persuasion. It has also largely overlooked the role of…

2734

Abstract

Purpose

Previous green research shows conflicting results regarding the relationship between environmental concern and persuasion. It has also largely overlooked the role of situational involvement. The purpose of this paper is to aim to show that message involvement influences attitude towards green advertisements.

Design/methodology/approach

To test the proposed model, an experimental study based on a sample of young adults in an emerging economy was used to investigate if situational involvement can produce favourable attitudes towards green advertisements.

Findings

Using PLS, it was found that fear and response efficacy increased message involvement which in turn was a significant predictor of attitude towards the advertisement. The findings show that advertisers can use these variables to increase message involvement.

Originality/value

This research extends previous studies on message involvement and expands current knowledge by showing that situational involvement predicts attitude towards green advertising.

Details

Marketing Intelligence & Planning, vol. 34 no. 6
Type: Research Article
ISSN: 0263-4503

Keywords

Article
Publication date: 13 June 2008

S. Jebaraj, S. Iniyan, L. Suganthi and Ranko Goić

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…

1145

Abstract

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.

Details

Management of Environmental Quality: An International Journal, vol. 19 no. 4
Type: Research Article
ISSN: 1477-7835

Keywords

Article
Publication date: 30 August 2021

Lucas Rodrigues, Luciano Rodrigues and Mirian Rumenos Piedade Bacchi

Fuel demand forecast is a fundamental tool to guide private planning actions and public policies aim to guarantee energy supply. This paper aims to evaluate different…

Abstract

Purpose

Fuel demand forecast is a fundamental tool to guide private planning actions and public policies aim to guarantee energy supply. This paper aims to evaluate different forecasting methods to project the consumption of light fuels in Brazil (fuel used by vehicles with internal combustion engine).

Design/methodology/approach

Eight different methods were implemented, besides of ensemble learning technics that combine the different models. The evaluation was carried out based on the forecast error for a forecast horizon of 3, 6 and 12 months.

Findings

The statistical tests performed indicated the superiority of the evaluated models compared to a naive forecasting method. As the forecast horizon increase, the heterogeneity between the accuracy of the models becomes evident and the classification by performance becomes easier. Furthermore, for 12 months forecast, it was found methods that outperform, with statistical significance, the SARIMA method, that is widely used. Even with an unprecedented event, such as the COVID-19 crisis, the results proved to be robust.

Practical implications

Some regulation instruments in Brazilian fuel market requires the forecast of light fuel consumption to better deal with supply and environment issues. In that context, the level of accuracy reached allows the use of these models as tools to assist public and private agents that operate in this market.

Originality/value

The study seeks to fill a gap in the literature on the Brazilian light fuel market. In addition, the methodological strategy adopted assesses projection models from different areas of knowledge using a robust evaluation procedure.

Article
Publication date: 31 May 2022

Peggy M.L. Ng, Tai Ming Wut and Jason K.Y. Chan

Embedded in higher educational settings, work-integrated learning (WIL) is a key reflection to students' perceived employability. The purpose of this study is to explore…

Abstract

Purpose

Embedded in higher educational settings, work-integrated learning (WIL) is a key reflection to students' perceived employability. The purpose of this study is to explore the antecedents of internal and external perceived employability. The research attempts to test a theoretical model examining the relationships among human capital, work values, career self-management, internal perceived employability and external perceived employability.

Design/methodology/approach

Data were collected from 588 students who have internship experience from two self-financing higher education institutions in Hong Kong. We adopted structural equation modelling (SEM) to test the proposed research hypotheses.

Findings

Results support the idea that human capital and intrinsic work values are significant antecedents of perceived employability. Furthermore, this relationship is fully mediated by career self-management. The implications of the findings for understanding the process through which psychological variables affect an individual's perceived employability are discussed.

Originality/value

Previous studies have extensively examined the effectiveness of WIL in increasing graduates' employability. However, unclear focus has been given to examine psychological attributes, such as human capital, work values and career self-management in WIL. In addition, few researchers have empirically examined the linkages among human capital, work values, career self-management and employability through internships or WIL experiences. Therefore, to bridge these gaps, the present study examines the effect of human capital, work values and career self-management on students' perceived employability when gaining internships or WIL experiences in a higher education setting.

Article
Publication date: 14 May 2018

Farooq Salman Alani, M. Firdouse Rahman Khan and Diana F. Manuel

The purpose of this paper is to analyze and explore the effectiveness of using balanced scorecard (BSC) as a management tool in the evaluation of the performance and…

1635

Abstract

Purpose

The purpose of this paper is to analyze and explore the effectiveness of using balanced scorecard (BSC) as a management tool in the evaluation of the performance and thereby the quality services of a University.

Design/methodology/approach

The survey was conducted among the various faculties and departments Sohar University through a well-defined questionnaire. The collected primary data were compiled, analyzed and a critical analysis was carried out using a null hypothesis, χ2, and regression analysis.

Findings

Our empirical result clearly reveals that there is a strong association exists between the strategic road map and the four perspectives of BSC.

Research limitations/implications

The study was carried out in Sohar University, Oman and the same can be extended to all the higher educational institutions globally.

Practical implications

The study reveals that the key performance measures identified under the classification the four perspectives of BSC, play a crucial role in establishing the framework based on the strategic map determined by the vision and the mission of the University.

Social implications

The study demonstrates that the BSC concept can be introduced to an educational institution to fill up the gap created between the creation of strategy and implementation of the same.

Originality/value

No study has investigated the performance evaluation of a higher education institution in Oman, using the four perspectives of BSC, and this is a first hand study.

Details

International Journal of Educational Management, vol. 32 no. 4
Type: Research Article
ISSN: 0951-354X

Keywords

Article
Publication date: 25 April 2022

Khalid Farooq, Mohd Yusoff Yusliza, Zikri Muhammad, Muhamad Khalil Omar and Nik Hazimah Nik Mat

Successfully fostering employee ecological behaviors can reduce the environmental impacts of an organization while boosting performance. This paper aims to investigate the…

Abstract

Purpose

Successfully fostering employee ecological behaviors can reduce the environmental impacts of an organization while boosting performance. This paper aims to investigate the factors and organizational strategies for employees to engage in ecological behaviors.

Design/methodology/approach

The study uses a qualitative method. Academicians from four top-ranked research universities from Malaysia participated in semi-structured interviews.

Findings

The in-depth analysis of the interviews identified several factors (environmental attitude, feedback, green self-efficacy, leadership role, organizational culture and employee empowerment) and strategies (incentives; top management support; creating environmental knowledge and awareness; rules and regulations; and sustainability advocates) for promoting ecological behavior in the workplace.

Research limitations/implications

This study was limited to Malaysian public research universities. Future research could investigate additional variables that might influence employee ecological behavior. Implications include policymaking, which emphasizes boosting environmental factors among academicians.

Originality/value

Research studies on employee ecological behavior are minimal. This research contributes to the literature by discussing how different stimuli and strategies are used in the top four-ranked green universities of Malaysia for ecological behavior in the workplace.

Details

Social Responsibility Journal, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1747-1117

Keywords

Article
Publication date: 6 February 2017

Yi-Chung Hu

Energy demand is an important economic index, and demand forecasting has a significant role when devising energy development plans for cities or countries. GM(1,1) model…

Abstract

Purpose

Energy demand is an important economic index, and demand forecasting has a significant role when devising energy development plans for cities or countries. GM(1,1) model has become popular because it needs only a few data points to construct a time-series model without statistical assumptions. Several methods have been developed to improve prediction accuracy of the original GM(1,1) model by only estimating the sign of each residual. This study aims to address that this is too tight a restriction for the modification range.

Design/methodology/approach

Based on the predicted residual, this study uses the functional-link net (FLN) with genetic-algorithm-based learning to estimate the modification range for its corresponding predicted value obtained from the original GM(1,1) model.

Findings

The forecasting ability of the proposed grey prediction model is verified using real energy demand cases from China. Experimental results show that the proposed prediction model performs well compared to other grey residual modification models with sign estimation.

Originality/value

The proposed FLNGM(1,1) model can improve prediction accuracy of the original GM(1,1) model using residual modification. The distinctive feature of the proposed model is to use an FLN to estimate sign and modification range simultaneously for the predicted value based on its corresponding predicted residual obtained from the residual GM(1,1) model.

Details

Kybernetes, vol. 46 no. 2
Type: Research Article
ISSN: 0368-492X

Keywords

1 – 10 of 124