Investigating the influence of consumer socio-demographic characteristics on the preferred type of consumption experience

Kacprzak, Agnieszka; Dziewanowska, Katarzyna

doi:10.5771/0949-6181-2019-4-513

Cited by 4 publications

(3 citation statements)

References 51 publications

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“…Addressing the second research question, the study found income level to emerge as a notable predictor of customer satisfaction, supporting the hypothesis (H2). The positive association between income level and satisfaction supports the hypothesis that financial well-being influences perception of value and service quality, consistent with (Antony et al, 2018;Kacprzak & Dziewanowska, 2019) findings, who highlighted the correlation between financial well-being and consumer satisfaction.…”

Section: Influence Of Economic Preferences On Customer Satisfactionsupporting

confidence: 87%

Understanding Customer Satisfaction Factors: A Logistic Regression Analysis

Kullolli,

Trebicka,

Fortuzi

2024

JESR

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Background: In the dynamic landscape of modern business, understanding customer satisfaction is crucial for success and competitiveness. This research intends to analyze the various elements that affect customer contentment, concentrating on the impact of demographic characteristics, economic inclinations, and involvement in loyalty programs. Methods: Employing logistic regression analysis, this research analyzes data collected from a diverse customer base across various industries. The study explores the relationship between customer satisfaction (binary dependent variable) and key independent variables, including age, income level, and loyalty program participation. Model validation is conducted through the Hosmer-Lemeshow test, along with the assessment of model fit using Cox & Snell and Nagelkerke R² metrics. Multicollinearity is checked using the Variance Inflation Factor (VIF). Results: The logistic regression model reveals that age and income level significantly influence customer satisfaction, with younger customers and individuals with greater income levels being more probable to report satisfaction. Additionally, participation in loyalty programs emerges as a strong predictor of customer satisfaction. The model demonstrates good fit and predictive ability, as indicated by statistical tests and graphical analyses, including an ROC curve and a Predicted Probability Plot. Conclusions: The research offers significant understanding into the determinants of customer satisfaction, highlighting the importance of demographic factors, economic status, and loyalty programs. These findings offer both theoretical contributions to the field of customer satisfaction research and practical implications for business strategies focused on customer engagement and loyalty. Received: 17 November 2023 / Accepted: 17 February 2024 / Published: 5 March 2024

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Section: Influence Of Economic Preferences On Customer Satisfactionsupporting

confidence: 87%

Understanding Customer Satisfaction Factors: A Logistic Regression Analysis

Kullolli,

Trebicka,

Fortuzi

2024

JESR

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“…Due to its popularity and digital marketing capabilities social media has also provided an opportunity for companies to conduct business solely online, thus avoiding the significant costs associated with the traditional brick and mortar shops. One potential drawback of digital marketing however, is that due to the fact it is highly dependent on the internet, it may not be accessible in certain areas or consumers may have poor internet connections (Whiteside, 2016;Hari-Adi et al, 2017;Kacprzak and Dziewanowska, 2019).…”

Section: Literature Reviewmentioning

confidence: 99%

Digital Marketing Communication in Developing Countries

2020

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Digital marketing has made significant progress in recent years, in all countries, both developed and developing. Many local and international companies have largely placed their marketing activities in the digital environment. Now, the COVID-19 pandemic has made it even more important for many companies and consumers to conduct marketing, buying and selling activities through social media. Like companies, consumers are changing their buying behaviours by focusing more on social media, from which they are providing the necessary and sufficient information about all the products and services that are marketed online. This paper is of particular importance because it addresses the issue of digital marketing activities in the Western Balkans region, specifically the behaviour of consumers from countries of this region on social media. From the results of the paper, it can be concluded that consumers from these countries are quite engaged in social media, where they receive the necessary information for different products and services, follow the activities of different companies, etc.

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“…Citizens are often aware of Customers in the private sector have different customer experiences (Kacprzak and Dziewanowska, 2019) and different factors influence the intensity of inappropriate customer behaviour.…”

Section: Theoretical Background Citizen Mistreatment Related To Organ...mentioning

confidence: 99%

Citizens Mistreatment Among Public Servants in Social Public Services

Kozjek

Brezovar

2022

Danube

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Public servants’ decisions that are inconsistent with citizens’ interests can lead to the mistreatment of public servants. The purpose of the research was to found out how the HRM practices in public organizations are related to the perception of fairness (procedural and distributive justice), and how the positive and negative moods of public servants are related to the citizens’ mistreatment. The research was made in local government, public schools, health centres and hospitals. A total of 1,729 respondents answered all the questions. Reliability as the questionnaire’s internal consistency was measured by Cronbach α for each multi-item scale. Four linear regression models were built. The results show that HRM is positively and statistically significantly associated with the perception of procedural justice. Furthermore, public servants’ negative affect is positively and statistically significantly associated with all four dimensions of citizen mistreatment (ambiguous citizen expectations, dealing with a disliked citizen, citizen verbal aggression, and disproportionate citizen expectations).

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Investigating the influence of consumer socio-demographic characteristics on the preferred type of consumption experience

Cited by 4 publications

References 51 publications

Understanding Customer Satisfaction Factors: A Logistic Regression Analysis

Understanding Customer Satisfaction Factors: A Logistic Regression Analysis

Digital Marketing Communication in Developing Countries

Citizens Mistreatment Among Public Servants in Social Public Services

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