Consumer preferences for beer attributes in Germany: A conjoint and latent class approach

Meyerding, Stephan G.H.; Bauchrowitz, Alexander; Lehberger, Mira

doi:10.1016/j.jretconser.2018.12.001

Cited by 46 publications

(32 citation statements)

References 27 publications

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“…One way to measure preferences among customers is the utilization of conjoint analysis [16][17][18][19]. This tool is widely used in marketing and consumer research [20][21][22].…”

Section: Introductionmentioning

confidence: 99%

Gym-Goers Preference Analysis of Fitness Centers during the COVID-19 Pandemic: A Conjoint Analysis Approach for Business Sustainability

et al. 2021

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The COVID-19 pandemic has had a great impact on the fitness centers industry. The purpose of this study is to analyze the preference of gym-goers on fitness centers in the Philippines during the COVID-19 pandemic by utilizing a conjoint analysis approach. One thousand gym-goers voluntarily participated in this study and answered 22 queries created from the orthogonal design. The results indicated that Price was the highest attribute considered (21.59%), followed by Ventilation (17.56%), Service (16.59%), Trainer (14.63%), Payment Method (11.95%), Operating Hours (8.90%), and Login (8.70%). The results also indicated that comfort, security, and fitness center services were the main aspects that gym-goers would consider as their main preference. The study highlighted how gym-goers are sensitive to the price set by the fitness centers. Moreover, due to the COVID-19 pandemic, ventilation and size are considered highly important attributes among gym-goers. Comfort, safety, and security are the main consideration to have sustainable fitness centers during and even after the COVID-19 pandemic. The outcome of this study may benefit fitness centers and increase their business market by considering the preference of customers. Finally, the result of this study can be utilized by fitness centers to promote a generalized fitness center for gym-goers of different generations, statuses, and even socioeconomic status during and even after the COVID-19 pandemic.

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“…One way to measure preferences among customers is the utilization of conjoint analysis [16][17][18][19]. This tool is widely used in marketing and consumer research [20][21][22].…”

Section: Introductionmentioning

confidence: 99%

Gym-Goers Preference Analysis of Fitness Centers during the COVID-19 Pandemic: A Conjoint Analysis Approach for Business Sustainability

et al. 2021

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“…Koch and Sauerbronn [17] analysed the craft beer consumption in Brazil and realised that "Drink less, drink better" is the main motto of the Brazilian craft beer consumers, who show commitment to enjoyment and responsibility while rejecting mass-produced beer and antisocial behaviours. Meyerding et al [18] focused on consumer preferences for beer attributes in the German market. The attributes "type," "price," and "origin" had the highest importance for the majority of consumers.…”

Section: Introduction 1introductionmentioning

confidence: 99%

What Are the Reasons Behind the Economic Performance of the Hungarian Beer Industry? The Case of the Hungarian Microbreweries

2021

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In terms of absolute alcohol consumption and total quantity consumed, beer is the most consumed alcoholic beverage in Hungary. The Hungarian beer industry is highly concentrated, the three largest, foreign-owned companies ruled the market for almost 90% of total turnover in 2009–2017. The study investigates the factors influencing the Hungarian beer industry’s economic performance, special attention given to the microbreweries. The analysis applied panel-data linear models for the period of 2009–2017. The financial performance of breweries is represented by companies’ turnover, Earnings Before Interest and Taxes (EBIT) and profit along with explanatory variables of the age of brewery, Social Media activity, geographical location, direct sales, and impact of tax reduction. Breweries with direct sales channels reached significantly higher sales, EBIT and profit. Breweries situated in or close to the capital are the most profitable due to the higher demand for high-quality beer, in contrast, the distance from the capital had a negative impact on the firms’ performance. The Social Media activity–often used as the only promotion channel for the microbrewery–positively impacts the brewery’s profitability. Finally, tax reduction for small breweries introduced in 2012 had the most significant positive influence on the industry.

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“…Louviere and Woodworth (1983) proposed a design approach for multiple-choice alternatives. Conjoint analysis methods and DCEs have been applied in a broad array of disciplines like healthcare (Strauss et al , 2018), food industry (Meyerding et al , 2019; Chamhuri and Batt, 2013) and tourism industry (Kim et al , 2018b). Examples of utilization of conjoint analysis can also be found in the telecommunication industry extensively (Confraria et al , 2017; Kim et al , 2018a; Sobolewski and Kopczewski, 2017; Srinuan et al , 2012; Dagli and Jenkins, 2016).…”

Section: Introductionmentioning

confidence: 99%

A multi-attribute model to optimize the price and composition of prepaid mobile Internet plans

Sohrabi

Pishvaee

Hafezalkotob

et al. 2020

JEIM

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PurposePrepaid mobile Internet is one of the most profitable services that are composed of multiple attributes. The overall utility of Internet service can be broken down into the sum of the utility of individual attribute levels. Based on the multi-attribute theory, rational consumers choose the service that yields the highest utility from a number of possible alternatives. Determining the optimal attribute levels that satisfy consumers' preferences and maximize the total revenue of the firm is a challenging multi-attribute decision problem for any mobile operator. When designing mobile Internet services, adopting a robust composition of services against different realizations of competitors' strategies can bring advantages for network operators. The purpose of this study is to determine the optimal attribute levels of prepaid mobile Internet packages with the aim of maximizing the total revenue of the firm by considering the paradigms of multi-attribute utility theory about consumer choices and the issue of uncertainty in counterpart services offered by the competitors.Design/methodology/approachThis paper formulates the problem of multi-attribute pricing and design of mobile Internet plans in a competitive environment by developing deterministic and robust scenario-based mathematical models and considering the paradigms of multi-attribute utility theory about consumer choices. The proposed robust scenario-based models are based on three different paradigms, including maximizing expected revenue, minimizing the negative deviation from expected revenue and minimizing the maximum regret. A comprehensive numerical analysis is conducted to evaluate and compare the efficiency of the proposed models.FindingsThe evaluations reveal that deploying recourse policy can result in higher revenue for the firm when facing uncertainty. By doing sensitivity analysis, this paper shows that consumer preferences for brand attribute and consumers' purchase frequency can influence the revenue of network operators.Originality/valueThis paper develops a novel deterministic multi-attribute product line design (PLD) model to address the problem of determining the price and composition of prepaid mobile Internet plans. Furthermore, the issue of uncertainty in counterpart services offered by the competitors is studied for the first time in the PLD literature.

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Consumer preferences for beer attributes in Germany: A conjoint and latent class approach

Cited by 46 publications

References 27 publications

Gym-Goers Preference Analysis of Fitness Centers during the COVID-19 Pandemic: A Conjoint Analysis Approach for Business Sustainability

Gym-Goers Preference Analysis of Fitness Centers during the COVID-19 Pandemic: A Conjoint Analysis Approach for Business Sustainability

What Are the Reasons Behind the Economic Performance of the Hungarian Beer Industry? The Case of the Hungarian Microbreweries

A multi-attribute model to optimize the price and composition of prepaid mobile Internet plans

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