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Open Access
Article
Publication date: 13 July 2021

A. Celil Cakici and Sena Tekeli

This study aims to reveal the impact of consumers’ price sensitivity on their purchase intention within the scope of supermarkets. Besides, the study aims to examine the impact of…

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Abstract

Purpose

This study aims to reveal the impact of consumers’ price sensitivity on their purchase intention within the scope of supermarkets. Besides, the study aims to examine the impact of consumers’ price sensitivity on their price perception level and emotions and the impact of consumers’ price level perception and emotions toward supermarkets on their purchase intention. It also aims to detect the mediating effects of consumers’ price level perception and emotions toward supermarkets between their price sensitivity and purchase intention.

Design/methodology/approach

The quota sampling method was used to form the study sample. The population was 20–69-year-old consumers. The study sample included 513 consumers, 276 of whom were men, and 237 of whom were women. Data were collected via a questionnaire by the researchers in Mersin’s (Turkey) five central counties. Explanatory and confirmatory factor analyses and structural equation models were used to analyze data.

Findings

Consumers’ price sensitivity, perception of cheapness, perception of expensiveness and positive emotions toward supermarkets affect their purchase intention. Besides, price sensitivity affects their perception of cheapness while it does not affect their perception of expensiveness. It influences negative emotions, but not on positive emotions. Consumers’ perception of cheapness and perception of expensiveness have impacts on positive emotions toward supermarkets. It was additionally discovered that perception of cheapness and perception of expensiveness affected negative emotions toward supermarkets. A contributed finding was that perception of cheapness had a partial mediating role between price sensitivity and purchase intention.

Practical implications

The study provides managerial implications in terms of understanding consumers’ behavioral changes, developing effective pricing strategies and achieving competitive advantages over the other retailing companies.

Originality/value

The study illustrates that consumer behavior can be explained by a theoretical construct considering the price perception levels and emotions toward supermarkets in examining the effect of consumers’ price sensitivity on their purchase intention. Therefore, it contributes to explain consumers’ behavior by bringing the stimulus–organism–response (SOR) model into a theoretical construct.

研究目的

本研究旨在揭示在超級市場的研究範疇內,消費者的價格敏感度對其購買意圖的影響。此外,本研究亦擬探討消費者的價格敏感度對其價格水平感知及情緒的影響,以及消費者的價格水平感知及對超級市場的情感對其購買意圖的影響。本研究亦旨在檢測在消費者的價格敏感度與購買意圖之間,其價格水平感知及對超級市場的情感兩者的仲介效果。

研究的設計/方法/理念

本研究用了配額抽樣法來建立研究樣本。研究的對象為20嵗至69嵗的消費者。研究樣本包括513名消費者,其中276人為男性,237人為女性。數據由研究人員透過一項問卷調查在梅爾辛省 (土耳其) 的五個中心縣取得。使用探索性因素分析,驗證性因素分析及結構方程模型來分析數據。

研究結果

研究結果顯示,消費者的價格敏感度,廉價感,對昂貴的看法及對超級市場的正面情緒,均影響其購買意圖。此外,消費者的價格敏感度會影響其廉價感,唯其對昂貴的看法則不受影響。價格敏感度對負面情緒帶來影響,但正面情緒則不受影響。消費者對廉價的看法及對昂貴的看法均影響他們對超級市場的正面情緒。研究亦發現,廉價感及對昂貴的看法均影響消費者對超級市場的負面情緒。貢獻的發現是:廉價感於價格敏感度與購買意圖之間扮演部分仲介角色。

實際的意義

本研究對管理有其作用。研究結果幫助管理人員更了解消費者行為的改變,發展有效的定價策略,以及比其它零售公司更能發展競爭優勢。

研究的原創性/價值

本研究闡明消費者行為是可以利用一個理論構建來說明的,而這個理論構建是透過考慮價格水平感知及對超級市場的情感來探討消費者的價格敏感度對其購買意圖的影響。因此,本研究透過把「刺激 – 機制 – 反應」模型變成為一個理論構建來說明消費者的行為, 在這方面,本研究是有其貢獻的.

Details

European Journal of Management and Business Economics, vol. 31 no. 1
Type: Research Article
ISSN: 2444-8451

Keywords

Open Access
Article
Publication date: 10 September 2019

Sérgio Dominique-Ferreira and Cristina Antunes

The purpose of this paper is to investigate and identify the price sensitivity of consumers of three- and five-star hotels and to determine the impact of bundling strategies on…

10632

Abstract

Purpose

The purpose of this paper is to investigate and identify the price sensitivity of consumers of three- and five-star hotels and to determine the impact of bundling strategies on consumers’ price sensitivity.

Design/methodology/approach

To calculate price sensitivity, authors apply the van Westendorp’s price sensitivity meter (PSM). To understand the impact of bundling strategies, univariate and bivariate techniques are applied.

Findings

PSM results reveal the optimal prices and the range of acceptable prices for three- and five-star hotel. The bundling strategy results reveal that five-star customers are less sensitive to mixed-leader bundling. Regarding mixed-joint bundling, managers could improve sales through bundling strategies if they selected an attractive service (e.g. restaurants).

Practical implications

Findings assist hotel managers to understand the different price sensitivities, according to the hotel typology. Managers can manage prices without the risk of losing market share or revenue. The results help managers in deciding which bundling strategies they can create, as well as the services to be included to achieve highest profitability.

Originality/value

No research to date to the best of the authors’ knowledge has attempted to understand and compare the role of bundling strategies in three- and five-stars hotels. Moreover, no research has attempted to measure and compare customers’ price sensitivity of three- and five-stars hotels.

Details

European Journal of Management and Business Economics, vol. 29 no. 2
Type: Research Article
ISSN: 2444-8494

Keywords

Open Access
Article
Publication date: 27 January 2023

Senyu Xu, Huajun Tang and Yuxin Huang

The purpose of this research is to investigate how to introduce a financing scheme to tackle the manufacturer's capital constraint problem, discuss the effects of data-driven…

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Abstract

Purpose

The purpose of this research is to investigate how to introduce a financing scheme to tackle the manufacturer's capital constraint problem, discuss the effects of data-driven marketing (DDM) quality, cross-channel-return (CCR) rate and financing interest rate on the members' pricing and delivery-lead-time decisions and optimal performances, and analyzes `how to achieve the coordination within a dual-channel supply chain (DSC) by contract coordination.

Design/methodology/approach

This work establishes a DSC model with DDM, and the offline retailer can provide internal financing to the capital-constrained online manufacturer. The demand under the price is determined based on DDM quality, customer channel preference and delivery lead time. Then, combined with the Stackelberg game, the optimal pricing and delivery-lead-time decisions are discussed under the inconsistent and consistent pricing strategies with decentralized and centralized systems. Furthermore, it designs a manufacturer-revenue sharing contract to coordinate the members under the two pricing strategies.

Findings

(1) The increase of DDM quality will reduce the delivery-lead-time under the inconsistent or consistent pricing strategy and will push the selling prices; (2) The growth of the CCR rate will raise selling prices and extend the delivery-lead-time under the decentralized decision; (3) Under price competition, the offline selling price is higher than the online selling price when customers prefer the offline channel and vice versa; (4) The retailer and the manufacturer can achieve a win-win situation through a manufacturer-revenue sharing contract.

Originality/value

This paper contributes to the studies related to DSC by investigating pricing and delivery-lead-time decisions based on DDM, CCR, internal financing and supply chain contract and proposes some managerial implications.

Details

Industrial Management & Data Systems, vol. 123 no. 3
Type: Research Article
ISSN: 0263-5577

Keywords

Open Access
Article
Publication date: 21 March 2024

Xiaogang Cao, Cuiwei Zhang, Jie Liu, Hui Wen and Bowei Cao

The purpose of this article is based on the unit patent license fee model in the closed-loop supply chain.

Abstract

Purpose

The purpose of this article is based on the unit patent license fee model in the closed-loop supply chain.

Design/methodology/approach

This paper analyzes the impact of the bundling strategy of the retailer selling new products and remanufactured products on the closed-loop supply chain under the condition that the original manufacturer produces new products and the remanufacturer produces remanufacturing products.

Findings

The results show that alternative products can be bundled, and in many cases, the bundling of remanufactured products and new products is better than selling alone.

Originality/value

If the retailer chooses bundling, for the remanufacturer, when certain conditions are met, the benefits of bundling are greater than the separate sales at that time; for the original manufacturer, when the recycling price sensitivity coefficient is high, the bundling is better than separate sales.

Details

Modern Supply Chain Research and Applications, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 2631-3871

Keywords

Open Access
Article
Publication date: 15 March 2024

Tianyu Pan, Rachel J.C. Fu and James F. Petrick

This study aims to examine consumer perception during COVID-19 and identifies cruise industry marketing strategies to fill a gap in crisis management and product pricing

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Abstract

Purpose

This study aims to examine consumer perception during COVID-19 and identifies cruise industry marketing strategies to fill a gap in crisis management and product pricing literature.

Design/methodology/approach

This study developed and validated two-factor measurement scales (vaccine perception and protective behavior), which predicted cruise intents well. This study revealed how geo-regional factors affect consumer psychology through spatial analysis.

Findings

This study recommended pricing 7-day cruises at $1,464 (the most preferred length). The results also showed that future price hikes would not affect demand and that coastal marketing would help retain customers.

Originality/value

This study contributed to the business, hospitality and tourism literature by identifying two new and unique factors (vaccine perception and protective behaviors), which were found to affect consumers’ intention to travel by cruise significantly. The result provided a better understanding of cruise tourists’ pricing preferences and the methods utilized could easily be applied to other cruise markets or tourism entities.

Details

International Hospitality Review, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 2516-8142

Keywords

Open Access
Article
Publication date: 29 May 2023

Christopher Amaral, Ceren Kolsarici and Mikhail Nediak

The purpose of this study is to understand the profit implications of analytics-driven centralized discriminatory pricing at the headquarter level compared with sales force price

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Abstract

Purpose

The purpose of this study is to understand the profit implications of analytics-driven centralized discriminatory pricing at the headquarter level compared with sales force price delegation in the purchase of an aftermarket good through an indirect retail channel with symmetric information.

Design/methodology/approach

Using individual-level loan application and approval data from a North American financial institution and segment-level customer risk as the price discrimination criterion for the firm, the authors develop a three-stage model that accounts for the salesperson’s price decision within the limits of the latitude provided by the firm; the firm’s decision to approve or not approve a sales application; and the customer’s decision to accept or reject a sales offer conditional on the firm’s approval. Next, the authors compare the profitability of this sales force price delegation model to that of a segment-level centralized pricing model where agent incentives and consumer prices are simultaneously optimized using a quasi-Newton nonlinear optimization algorithm (i.e. Broyden–Fletcher–Goldfarb–Shanno algorithm).

Findings

The results suggest that implementation of analytics-driven centralized discriminatory pricing and optimal sales force incentives leads to double-digit lifts in firm profits. Moreover, the authors find that the high-risk customer segment is less price-sensitive and firms, upon leveraging this segment’s willingness to pay, not only improve their bottom-line but also allow these marginalized customers with traditionally low approval rates access to loans. This points out the important customer welfare implications of the findings.

Originality/value

Substantively, to the best of the authors’ knowledge, this paper is the first to empirically investigate the profitability of analytics-driven segment-level (i.e. discriminatory) centralized pricing compared with sales force price delegation in indirect retail channels (i.e. where agents are external to the firm and have access to competitor products), taking into account the decisions of the three key stakeholders of the process, namely, the consumer, the salesperson and the firm and simultaneously optimizing sales commission and centralized consumer price.

Details

European Journal of Marketing, vol. 57 no. 13
Type: Research Article
ISSN: 0309-0566

Keywords

Open Access
Article
Publication date: 2 April 2019

Orlando Gomes and João Frade

This paper aims to provide an overall review and assessment of the virtues and flaws of decentralized self-regulated markets, discussing in particular the extent to which…

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Abstract

Purpose

This paper aims to provide an overall review and assessment of the virtues and flaws of decentralized self-regulated markets, discussing in particular the extent to which deceiving attitudes by some market participants might be potentially diluted and contradicted.

Design/methodology/approach

To approach deception and morality in markets, the paper follows two paths. First, the relevant recent literature on the theme is reviewed, examined and debated, and second, one constructs a simulation model equipped with the required elements to discuss the immediate and long-term impacts of deceiving behaviour over market outcomes.

Findings

The discussion and the model allow for highlighting the main drivers of the purchasing decisions of consumers and for evaluating how they react to manipulating behaviour by firms in the market. Agents pursuing short-run gains through unfair market practices are likely to be punished as fooled agents spread the word about the malpractices they were allegedly subject to.

Research limitations/implications

Markets are complex entities, where large numbers of individual agents typically establish local and direct contact with one another. These agents differ in many respects and interact in unpredictable ways. Assembling a concise model capable of addressing such complexity is a difficult task. The framework proposed in this paper points in the intended direction.

Originality/value

The debate in this paper contributes to a stronger perception on the mechanisms that attribute robustness and vitality to markets.

Details

Journal of Economics, Finance and Administrative Science, vol. 24 no. 48
Type: Research Article
ISSN: 2077-1886

Keywords

Open Access
Article
Publication date: 22 March 2022

Xiaoyu Yan, Weihua Liu, Victor Shi and Tingting Liu

The literature review aims to facilitate a broader understanding of on-demand service platform operations management and proposes potential research directions for scholars.

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Abstract

Purpose

The literature review aims to facilitate a broader understanding of on-demand service platform operations management and proposes potential research directions for scholars.

Design/methodology/approach

This study searches four databases for relevant literature on on-demand service platform operations management and selects 72 papers for this review. According to the research context, the literature can be divided into research on “a single platform” and research on “multiple platforms”. According to the research methods, the literature can be classified into “Mathematical Models”, “Empirical Studies”, “Multiple Methods” and “Literature Review”. Through comparative analysis, we identify research gaps and propose five future research agendas.

Findings

This paper proposes five research agendas for future research on on-demand service platform operations management. First, research can be done to combine classic research problems in the field of operations management with platform characteristics. Second, both the dynamic and steady-state issues of on-demand service platforms can be further explored. Third, research employing mathematical models and empirical analysis simultaneously can be more fruitful. Fourth, more research efforts on the various interactions among two or more platforms can be pursued. Last but not least, it is worthwhile to examine new models and paths that have emerged during the latest development of the platform economy.

Originality/value

Through categorizing the literature into two research contexts as well as classifying it according to four research methods, this article clearly shows the research progresses made so far in on-demand service platform operations management and provides future research directions.

Details

Modern Supply Chain Research and Applications, vol. 4 no. 2
Type: Research Article
ISSN: 2631-3871

Keywords

Open Access
Article
Publication date: 26 March 2019

F. Javier Rondan-Cataluña, Bernabe Escobar-Perez and Manuel A. Moreno-Prada

This research enables the authors to highlight the importance of proper pricing for retailers. The purpose of this paper is to demonstrate the importance of demand-based pricing

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Abstract

Purpose

This research enables the authors to highlight the importance of proper pricing for retailers. The purpose of this paper is to demonstrate the importance of demand-based pricing, providing empirical results that reveal the validity of this pricing philosophy in the sport retailing industry. In particular, this study has identified the limits of acceptable prices for the products studied, selected the most appropriate method for pricing products suffering from high competition and compared the impact produced on price perceptions according to different retail environments to be able to relate changes in the acceptable prices ranges according to the geographical location of each point of sale, differentiating between rural or urban environment and type of client.

Design/methodology/approach

The authors have carried out surveys of 350 customers in each of the three points of sale analysed. Therefore, there are a total of 1,050 interviewees, for the three products analysed. The direct method of acceptable prices setting is developed. In addition, ANOVA and t-test have been carried out to find differences between the three shops.

Findings

One main finding is that the acceptable price range is not unique. Each point of sale has one that is distinct because it depends on many factors: the competition, the economic capacity of the closest residents, the location of the point of sale or the ability to attract customers.

Originality/value

The foremost contribution of this paper is to demonstrate empirically how considering the local demand at setting prices would generate larger earnings, even for a small retail chain. The direct method of setting acceptable prices enables us to set the prices according to the demand. The best option is if these prices are above the costs. It can be noted that the prices should be set according to each shop, and a different price used in each point of sale to maximise profits and to adapt to what the typical customer of each shop is willing to pay, despite the products being the same and the points of sale belonging to the same retail chain.

Objetivos

Esta investigación nos permite resaltar la importancia de una fijación de precios adecuada para los minoristas. El objetivo principal de esta investigación es demostrar la importancia de la fijación de precios basada en la demanda, proporcionando resultados empíricos que revelan la validez de esta filosofía de fijación de precios en el sector minorista de productos deportivos. En particular, en este estudio se han identificado los intervalos de precios aceptables para los productos estudiados; se ha seleccionado el método más apropiado para la fijación de precios de productos que sufren alta competencia; y se ha comparado el impacto en las percepciones de precios según el entorno detallista y se han encontrado cambios en los intervalos aceptables de precios en función de la localización geográfica del punto de venta, diferenciando entre entorno rural y urbano, y el tipo de cliente.

Metodología

Los autores han realizado encuestas a 350 clientes en cada uno de los 3 puntos de venta analizados. Por lo tanto, hay un total de 1050 entrevistados, para los 3 productos analizados. Se desarrolla el método directo de fijación de precios aceptables. Además, se han realizado pruebas ANOVAs y T para encontrar diferencias entre las 3 tiendas.

Resultados

Un hallazgo principal es que el intervalo de precios aceptable no es único. Cada punto de venta tiene uno distinto porque depende de muchos factores: la competencia, la capacidad económica de los residentes más cercanos, la ubicación del punto de venta o la capacidad de atraer clientes.

Originalidad/valor

La principal contribución de este artículo es demostrar empíricamente cómo considerar la demanda local al establecer precios generaría mayores ganancias, incluso para una pequeña cadena minorista. El método directo de establecer precios aceptables nos permite establecer los precios de acuerdo con la demanda. La mejor opción es si estos precios están por encima de los costos. Se puede observar que los precios deben establecerse de acuerdo con cada tienda, y se debe usar un precio diferente en cada punto de venta para maximizar los beneficios y adaptarse a lo que el cliente típico de cada tienda está dispuesto a pagar. A pesar de que los productos son los mismos y los puntos de venta pertenecientes a la misma cadena minorista.

Details

Spanish Journal of Marketing - ESIC, vol. 23 no. 1
Type: Research Article
ISSN: 2444-9709

Keywords

Open Access
Article
Publication date: 13 March 2024

Tjaša Redek and Uroš Godnov

The Internet has changed consumer decision-making and influenced business behaviour. User-generated product information is abundant and readily available. This paper argues that…

Abstract

Purpose

The Internet has changed consumer decision-making and influenced business behaviour. User-generated product information is abundant and readily available. This paper argues that user-generated content can be efficiently utilised for business intelligence using data science and develops an approach to demonstrate the methods and benefits of the different techniques.

Design/methodology/approach

Using Python Selenium, Beautiful Soup and various text mining approaches in R to access, retrieve and analyse user-generated content, we argue that (1) companies can extract information about the product attributes that matter most to consumers and (2) user-generated reviews enable the use of text mining results in combination with other demographic and statistical information (e.g. ratings) as an efficient input for competitive analysis.

Findings

The paper shows that combining different types of data (textual and numerical data) and applying and combining different methods can provide organisations with important business information and improve business performance.

Research limitations/implications

The paper shows that combining different types of data (textual and numerical data) and applying and combining different methods can provide organisations with important business information and improve business performance.

Originality/value

The study makes several contributions to the marketing and management literature, mainly by illustrating the methodological advantages of text mining and accompanying statistical analysis, the different types of distilled information and their use in decision-making.

Details

Kybernetes, vol. 53 no. 13
Type: Research Article
ISSN: 0368-492X

Keywords

1 – 10 of over 1000