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Article
Publication date: 11 March 2021

Gurmeet Singh, Neale Slack, Shavneet Sharma, Karishma Mudaliar, Suman Narayan, Rajini Kaur and Keshmi Upashna Sharma

This study aims to simultaneously examine the interrelated influence of antecedents involved in developing fast-food restaurant customer loyalty. A conceptual model which…

Abstract

Purpose

This study aims to simultaneously examine the interrelated influence of antecedents involved in developing fast-food restaurant customer loyalty. A conceptual model which incorporates service quality attributes, price fairness, customer satisfaction, brand image and trust and the resultant effect on customer loyalty is proposed to better understand how fast-food restaurant customer loyalty can be optimized.

Design/methodology/approach

A quantitative research methodology adopting structural equation modelling was used to understand the interrelatedness and influence of antecedents involved in optimizing fast-food restaurant customer loyalty.

Findings

The findings indicate that service quality attributes (food quality and employee service quality) and price fairness significantly influence customer satisfaction and brand image, while physical environment quality has no significant influence. Additionally, customer satisfaction was found to influence brand trust and customer loyalty, while the brand image does not influence customer satisfaction but does influence brand trust and customer loyalty.

Practical implications

Understanding the interrelatedness and influence of antecedents involved in developing fast-food restaurant customer loyalty would enable academics and practitioners to formulate honed marketing and operational strategies to optimize customer loyalty and fast-food restaurant profitability.

Originality/value

This research addresses the paucity of research and marketing gaps regarding the interrelatedness and influence of antecedents involved in optimizing fast-food restaurant customer loyalty in Small Island Developing States (SIDS).

Details

The TQM Journal, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1754-2731

Keywords

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Article
Publication date: 4 July 2019

Vaseem Akram and Badri Narayan Rath

The purpose of this study is to examine the fiscal sustainability issue by dividing the fiscal deficit into high and low regimes using the quarterly data from 1997: Q1 to…

Abstract

Purpose

The purpose of this study is to examine the fiscal sustainability issue by dividing the fiscal deficit into high and low regimes using the quarterly data from 1997: Q1 to 2013: Q3. Further, we obtain the optimum level of public debt at which fiscal sustainability can be achieved.

Design/methodology/approach

This study uses the Markov Switching-Vector Error Correction Model (MS-VECM) for examining fiscal sustainability and threshold regression model to obtain the optimum level of debt.

Findings

The results derived from MS-VECM reveal the evidence in favor of fiscal sustainability during low fiscal deficit periods. Similarly, using a threshold regression model, the optimum public debt as a percentage to GDP seems to be around 21 per cent on a quarterly basis, beyond this level, public debt hurts economic growth.

Practical implications

From the policy front, the government of India should cut down the fiscal deficit only if debt reaches beyond a threshold level.

Originality/value

Noting that the vast literature has focused on examining the fiscal sustainability in India, the novelty of this study is to examine the fiscal sustainability by considering high and low deficits regimes using a non-linear approach.

Details

Studies in Economics and Finance, vol. 38 no. 2
Type: Research Article
ISSN: 1086-7376

Keywords

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Article
Publication date: 1 June 2015

I Gede Mahatma Yuda Bakti and Sik Sumaedi

– The purpose of this paper is to test a model of service quality of public land transport services, especially paratransit services.

Abstract

Purpose

The purpose of this paper is to test a model of service quality of public land transport services, especially paratransit services.

Design/methodology/approach

This study used quantitative approach. Data were collected through a survey method using questionnaire. The respondents of the study are 880 passengers of paratransit services in Indonesia. Exploratory factor analysis and confirmatory factor analysis were performed in order to identify the dimensions of service quality and test the convergent and discriminant validity of the dimensions. Cronbach’s α analysis was carried out to test the reliability of the dimensions. In addition, criterion-based validity and the stability of the service quality model were also tested.

Findings

A model of service quality of public land transport, namely P-TRANSQUAL, was tested. P-TRANSQUAL consists of four dimensions, which are comfort, tangible, personnel, and reliability. The model has been proven to have good validity, reliability, and stability for measuring service quality of paratransit services in Indonesia.

Research limitations/implications

This research was carried out in a single developing country, namely Indonesia. Hence, the stability of the model needs to be tested in different cultures.

Practical implications

Public transport managers can use P-TRANSQUAL to monitor, measure, and improve the service quality of the public transport they manage.

Originality/value

This paper has tested a new model of service quality for public transport services, especially paratransit services.

Details

International Journal of Quality & Reliability Management, vol. 32 no. 6
Type: Research Article
ISSN: 0265-671X

Keywords

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