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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

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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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2935

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

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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…

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2325

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

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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…

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2475

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

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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…

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1141

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

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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.

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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…

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1361

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

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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

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Article
Publication date: 9 July 2020

Jnaneswar K and Gayathri Ranjit

Encouraging employees to bolster their performance in today's turbulent business environment is an important priority for all types of organizations. Even though few…

Abstract

Purpose

Encouraging employees to bolster their performance in today's turbulent business environment is an important priority for all types of organizations. Even though few studies reported the impact of transformational leadership (TL) on job performance (JP), the role of mediators namely corporate social responsibility (CSR) in this relationship is not given due attention. The purpose of this paper is to assess the mediating role of CSR in the relationship between TL and JP in the Indian context.

Design/methodology/approach

Data from 306 full time employees working in the manufacturing industry in India were collected through an online survey. The manufacturing organizations were selected on the basis of their active participation in CSR activities and robustness of HR practices. Three structured questionnaires were used for eliciting data from the employees, and AMOS software was used for testing the validity of the hypothesized model. PROCESS macro was used for testing the mediating role of CSR.

Findings

TL impacted both JP and CSR. Additionally, CSR showed a positive relationship with JP of employees. The pivotal finding of the study is the partial mediation of CSR in the TL–JP relationship.

Originality/value

Based on neo-charismatic paradigm theory, TL theory, stakeholder theory and social identity theory, this paper enriches the literature by demonstrating the mediation mechanism driving TL and JP relationship.

Details

Journal of Advances in Management Research, vol. 17 no. 5
Type: Research Article
ISSN: 0972-7981

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Article
Publication date: 30 March 2021

Asli Pelin Gurgun and Kerim Koc

As a remedy to usually voluminous, complicated and not easily readable construction contracts, smart contracts can be considered as an effective and alternative solution…

Abstract

Purpose

As a remedy to usually voluminous, complicated and not easily readable construction contracts, smart contracts can be considered as an effective and alternative solution. However, the construction industry is merely known as a frontrunner for fast adoption of recent technological advancements. Numerous administrative risks challenge construction companies to implement smart contracts. To highlight this issue, this study aims to assess the administrative risks of smart contract adoption in construction projects.

Design/methodology/approach

A literature survey is conducted to specify administrative risks of smart contracts followed by a pilot study to ensure that the framework is suitable to the research question. The criteria weights are calculated through the fuzzy analytical hierarchy process method, followed by a sensitivity analysis based on degree of fuzziness, which supports the robustness of the developed hierarchy and stability of the results. Then, a focus group discussion (FGD) is performed to discuss the mitigation strategies for the top-level risks in each risk category.

Findings

The final framework consists of 27 sub-criteria, which are categorized under five main criteria, namely, contractual, cultural, managerial, planning and relational. The findings show that (1) regulation change, (2) lack of a driving force, (3) works not accounted in planning, (4) shortcomings of current legal arrangements and (5) lack of dispute resolution mechanism are the top five risks challenging the adoption of smart contracts in construction projects. Risk mitigation strategies based on FGD show that improvements for the semi-automated smart contract drafting are considered more practicable compared to full automation.

Originality/value

The literature is limited in terms of the adoption of smart contracts, while the topic is receiving more attention recently. To support easy prevalence of smart contracts, this study attempts the most challenging aspects of smart contract adoption.

Details

Engineering, Construction and Architectural Management, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0969-9988

Keywords

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