Price and quality-based competition and channel structure with consumer loyalty

Wang, Sujuan; Hu, Qiying; Liu, Weiqi

doi:10.1016/j.ejor.2017.03.052

Cited by 96 publications

(44 citation statements)

References 39 publications

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“…Hence, we found that STS has a significant impact on students' intention to transfer to another university (H1). This finding supports previous studies (El-Adly, 2018;Wang et al, 2017;Martin et al, 2009). For example, Hasan (2013) explains that customer switching behavior is associated with poor service quality and the reaction to high price.…”

Section: Resultssupporting

confidence: 90%

“…Moreover, Makwana, Sharma, and Arora ( 2014) argue that value-added services and pricing strategies are two critical factors that influence consumer behavior on the brand. Also, the price will affect the consumers in considering the quality of service (Iacobucci, Ostrom, & Grayson, 1995 Liu, 2017;Martin et al, 2009). For example, El-Adly (2018) and Wang et al (2017) have asserted that perceived value on price has a significant impact on customer loyalty.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Also, the price will affect the consumers in considering the quality of service (Iacobucci, Ostrom, & Grayson, 1995 Liu, 2017;Martin et al, 2009). For example, El-Adly (2018) and Wang et al (2017) have asserted that perceived value on price has a significant impact on customer loyalty. While, one of the indicators of loyalty or disloyalty is an intention to switch.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Pricing policy has a relationship with service quality (Wang et al, 2017;Y. Wu & Zhu, 2017;Liu & Lee, 2016).…”

Section: Literature Reviewmentioning

confidence: 99%

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The Marketing of Higher Education: Managing Student Loyalty Based on Tuition Fee Policy and Service Quality

Wardi

Abror

Trinanda

2018

jbm

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This research investigates the influence of Single Tuition Fee System (STS) and Service Quality on Universitas Negeri Padang's students' intention to transfer to other universities. It also examines the correlation between Service Quality and STS in influencing the students' intention to switch. The population of this study was 8,314 non-Bidikmisi Scholarship students from the class of 2013 and 2014. The sample size was determined by using Slovin formula, and it employed 400 students as the samples by using accidental sampling method. The data have been collected by using survey method with the questionnaires as the data collection method. This study analyzes the data by using path and correlation analysis. Before the main analysis, this study has conducted some preliminary analysis such as normality and multicollinearity test. The result of the research shows that: (1) the STS has a significant positive effect on students' intention to transfer to other universities, (2) Service quality has a significant negative effect on students' intention to transfer to other universities, and (3) There is a significant correlation between STS and service quality in influencing students' intention to transfer to other universities. Some limitations and future study have been addressed.

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Section: Resultssupporting

confidence: 90%

Section: Literature Reviewmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

“…Pricing policy has a relationship with service quality (Wang et al, 2017;Y. Wu & Zhu, 2017;Liu & Lee, 2016).…”

Section: Literature Reviewmentioning

confidence: 99%

See 2 more Smart Citations

The Marketing of Higher Education: Managing Student Loyalty Based on Tuition Fee Policy and Service Quality

Wardi

Abror

Trinanda

2018

jbm

View full text Add to dashboard Cite

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“…In the literature, supply chain management and quality have been approached upon different perspectives, such as product quality and service quality [9][10][11][12][13], reprocessing and reworking in inventory models [14], quality costs [15], quality as a strategy [16][17][18], selection of suppliers [19], and the integration of capability indexes for the evaluation of products and performance of organizations [20][21][22][23][24][25].…”

Section: Quality and Process Capability Index (Cp And Cpk) In The Supplymentioning

confidence: 99%

Combined Use of Mathematical Optimization and Design of Experiments for the Maximization of Profit in a Four‐Echelon Supply Chain

et al. 2018

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This paper develops a location-allocation model to optimize a four-echelon supply chain network, addressing manufacturing and distribution centers location, supplier selection and flow allocation for raw materials from suppliers to manufacturers, and finished products for end customers, while searching for system profit maximization. A fractional-factorial design of experiments is performed to analyze the effects of capacity, quality, delivery time, and interest rate on profit and system performance. The model is formulated as a mixed-integer linear programming problem and solved by using well-known commercial software. The usage of factorial experiments combined with mathematical optimization is a novel approach to address supply chain network design problems. The application of the proposed model to a case study shows that this combination of techniques yields satisfying results in terms of both its behavior and the obtained managerial insights. An ANOVA analysis is executed to quantify the effects of each factor and their interactions. In the analyzed case study, the transportation cost is the most relevant cost component, and the most relevant opportunity for profit improvement is found in the factor of quality. The proposed combination of methods can be adapted to different problems and industries.

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The effect of the inspection information sharing policy on quality‐oriented food production in online commerce

Zhai

Han

2021

Manage Decis Econ

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Food products are normally classified as credence goods, and their quality cannot be fully ascertained by consumers even after being consumed. Online commerce exacerbates information asymmetry, which breeds a market filled with low‐price and poor‐quality food products. This study aims to examine whether certificate authority's inspection information sharing policy (IIS policy) can improve food quality in online commerce. The results suggest that producers tend to provide high‐quality food products, whereas both the online platform and food producers can earn more profits by adjusting selling price and commission fees under the IIS policy. Meanwhile, consumers also benefit from IIS policy.

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Price and quality-based competition and channel structure with consumer loyalty

Cited by 96 publications

References 39 publications

The Marketing of Higher Education: Managing Student Loyalty Based on Tuition Fee Policy and Service Quality

The Marketing of Higher Education: Managing Student Loyalty Based on Tuition Fee Policy and Service Quality

Combined Use of Mathematical Optimization and Design of Experiments for the Maximization of Profit in a Four‐Echelon Supply Chain

The effect of the inspection information sharing policy on quality‐oriented food production in online commerce

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