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Article
Publication date: 5 June 2007

Serkan Akinci, Erdener Kaynak, Eda Atilgan and Şafak Aksoy

The objective of this article is to determine the usage and application of logistic regression analysis in the marketing literature by comparing the market positioning of…

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Abstract

Purpose

The objective of this article is to determine the usage and application of logistic regression analysis in the marketing literature by comparing the market positioning of prominent marketing journals.

Design/methodology/approach

In order to identify the logistic regression applications, those journals having “marketing” term in their titles and indexed by the social citation index (SSCI) were included. As a result, the target population consisted of 12 journals fulfilling the criteria set. However, only eight of these that were accessible by the researchers were included in the study.

Findings

The classification of marketing articles from the chosen prominent marketing journals were made by journal title, article topic, target population, data collection method, and study location has mapped the position of logistic regression in the marketing literature.

Research limitations/implications

The sample journal coverage was limited with 12 marketing journals indexed in SSCI. In some of the journals utilized, the accessibility was limited by the electronic database year coverage. Due to this limitation, the researchers could not reach the exact number of articles using logistic regression.

Originality/value

The results of this study could highlight what is researched with logistic regression about marketing problems and may shed light on solving different problems on marketing topics for the future.

Details

European Journal of Marketing, vol. 41 no. 5/6
Type: Research Article
ISSN: 0309-0566

Keywords

Article
Publication date: 3 May 2013

Richard Hauser

The purpose of this paper is to investigate whether corporate dividend policy changed during the financial crisis.

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Abstract

Purpose

The purpose of this paper is to investigate whether corporate dividend policy changed during the financial crisis.

Design/methodology/approach

For this study, a life‐cycle model is used to predict the probability that a firm pays a dividend. The data sample for this research follows that of Fama and French and of DeAngelo et al., for the time period of 2006‐2009. The panel logistic regression analysis considers the firm cluster effects and the autoregressive correlation of the firm clusters.

Findings

This study shows evidence that the probability that a firm paid a dividend declined in 2008 and 2009, even after taking the firm's financial condition into account. Furthermore, the analysis also shows that dividend policy did shift during the financial crisis.

Originality/value

The results of this study show that dividend policy did shift during the financial crisis. The research provides evidence that firms placed additional emphasis on financial viability after the financial crisis.

Details

Managerial Finance, vol. 39 no. 6
Type: Research Article
ISSN: 0307-4358

Keywords

Article
Publication date: 5 November 2019

R. Dale Wilson and Harriette Bettis-Outland

Artificial neural network (ANN) models, part of the discipline of machine learning and artificial intelligence, are becoming more popular in the marketing literature and…

Abstract

Purpose

Artificial neural network (ANN) models, part of the discipline of machine learning and artificial intelligence, are becoming more popular in the marketing literature and in marketing practice. This paper aims to provide a series of tests between ANN models and competing predictive models.

Design/methodology/approach

A total of 46 pairs of models were evaluated in an objective model-building environment. Either logistic regression or multiple regression models were developed and then were compared to ANN models using the same set of input variables. Three sets of B2B data were used to test the models. Emphasis also was placed on evaluating small samples.

Findings

ANN models tend to generate model predictions that are more accurate or the same as logistic regression models. However, when ANN models are compared to multiple regression models, the results are mixed. For small sample sizes, the modeling results are the same as for larger samples.

Research limitations/implications

Like all marketing research, this application is limited by the methods and the data used to conduct the research. The findings strongly suggest that, because of their predictive accuracy, ANN models will have an important role in the future of B2B marketing research and model-building applications.

Practical implications

ANN models should be carefully considered for potential use in marketing research and model-building applications by B2B academics and practitioners alike.

Originality/value

The research contributes to the B2B marketing literature by providing a more rigorous test on ANN models using B2B data than has been conducted before.

Details

Journal of Business & Industrial Marketing, vol. 35 no. 3
Type: Research Article
ISSN: 0885-8624

Keywords

Article
Publication date: 16 March 2010

Cataldo Zuccaro

The purpose of this paper is to discuss and assess the structural characteristics (conceptual utility) of the most popular classification and predictive techniques…

1928

Abstract

Purpose

The purpose of this paper is to discuss and assess the structural characteristics (conceptual utility) of the most popular classification and predictive techniques employed in customer relationship management and customer scoring and to evaluate their classification and predictive precision.

Design/methodology/approach

A sample of customers' credit rating and socio‐demographic profiles are employed to evaluate the analytic and classification properties of discriminant analysis, binary logistic regression, artificial neural networks, C5 algorithm, and regression trees employing Chi‐squared Automatic Interaction Detector (CHAID).

Findings

With regards to interpretability and the conceptual utility of the parameters generated by the five techniques, logistic regression provides easily interpretable parameters through its logit. The logits can be interpreted in the same way as regression slopes. In addition, the logits can be converted to odds providing a common sense evaluation of the relative importance of each independent variable. Finally, the technique provides robust statistical tests to evaluate the model parameters. Finally, both CHAID and the C5 algorithm provide visual tools (regression tree) and semantic rules (rule set for classification) to facilitate the interpretation of the model parameters. These can be highly desirable properties when the researcher attempts to explain the conceptual and operational foundations of the model.

Originality/value

Most treatments of complex classification procedures have been undertaken idiosyncratically, that is, evaluating only one technique. This paper evaluates and compares the conceptual utility and predictive precision of five different classification techniques on a moderate sample size and provides clear guidelines in technique selection when undertaking customer scoring and classification.

Details

Journal of Modelling in Management, vol. 5 no. 1
Type: Research Article
ISSN: 1746-5664

Keywords

Article
Publication date: 23 June 2020

Jisu Jeong and Seunghui Han

Citizen trust in police is important in terms of citizen consent to government policies and of police achieving their organizational goals. In the previous study…

Abstract

Purpose

Citizen trust in police is important in terms of citizen consent to government policies and of police achieving their organizational goals. In the previous study, improvements in police policy, organizational operation and policing activities were developed to clarify which factors influence trust in police and how trust can be improved. This research raises the question, would changes in trust in police have an impact on trust in government? In this paper, this research question is discussed theoretically and the causal relationship analyzed empirically by applying OLS, ordered logistic, 2SLS and logistic regressions.

Design/methodology/approach

The basic analysis methods are to apply the OLS and the ordered logistic regression. OLS regression analysis is an analytical method that minimizes an error range of a regression line. The assumptions for OLS are: linearity, independence, equilibrium, extrapolation and multicollinearity issues. These problems were statistically verified and analyzed, in order to confirm the robustness of the analysis results by comparing the results of the ordered logistic regression because of the sequence characteristic of the dependent variable. The data to be used in this study is the Asia Barometer Survey in 2013.

Findings

Trust in police and citizen perception of safety are analyzed as important factors to increase trust in the government. The effects of trust in police are more significant than the effects of control variables, and the direction and strength of the results are stable. The effect of trust in police on trust in government is strengthened by the perception of safety (IV). In addition, OLS, ordered logistic regression analysis, which analyzed trust in central government and local government, and logistic regression analysis categorized by trust and distrust show the stability.

Research limitations/implications

This paper has implications in terms of theoretical and empirical analysis of the relationship between trust in police and trust in government. In addition, the impact of perception of safety on trust in police can be provided to police officers, policymakers and governors who are seeking to increase trust in government. This paper is also meaningful in that it is the microscopic research based on the citizens' survey. One of the limitations of macroscopic research is that it does not consider the individual perceptions of citizens.

Practical implications

The results of this paper can confirm the relationship of the virtuous cycle, which is perception of safety – trust in police – trust in government. The police will need to provide security services to improve citizens' perception of safety and make great efforts to create safer communities and society. Trust in police formed through this process can be an important component of trust in government. By making citizens feel safer and achieving trust in police, ultimately, trust in government will be improved.

Originality/value

The police perform one of the essential roles of government and are one of the major components of trust in government, but the police sector has been neglected compared to the roles of the economic and political sectors. These influences of macro factors are too abstract to allow specific policy directions to be suggested. If we consider trust in police, and factors that can improve trust in government, we can suggest practical policy alternatives.

Details

Policing: An International Journal, vol. 43 no. 4
Type: Research Article
ISSN: 1363-951X

Keywords

Book part
Publication date: 19 November 2019

Ting Zhang

Facing the aging workforce but older workers’ vulnerability in the labor market, this chapter empirically explores factors and policy implications to enhance older…

Abstract

Facing the aging workforce but older workers’ vulnerability in the labor market, this chapter empirically explores factors and policy implications to enhance older workers’ entered employment rates (EER) after exiting the national workforce program. After reviewing older workers’ attributes and the unique methods to train them, the chapter examines demographic, socioeconomic, and program attributions to older workers’ EER, controlling for cyclical changes in the labor market. The chapter relies on three sets of models including logistic regression, multi-level mixed-effect regression, and multilevel mixed effect logistic regression models, as well as longitudinal Workforce Investment Act Standardized Record Data and Bureau of Labor Statistics unemployment data. Older dislocated workers and older adults are examined separately. Some Workforce Innovation and Opportunity Act training and related service combinations are identified to contribute to older adults and older dislocated workers’ EER and to inform strategic decision-making about future allocations of funds and policy efforts to serve older workers.

Details

Advances in Industrial and Labor Relations
Type: Book
ISBN: 978-1-83909-192-6

Keywords

Article
Publication date: 5 April 2022

Balgopal Singh

This research article aims to understand the role of brand image, service quality and price (charge) in revitalising functional mass brands into prestigious mass brands.

Abstract

Purpose

This research article aims to understand the role of brand image, service quality and price (charge) in revitalising functional mass brands into prestigious mass brands.

Design/methodology/approach

The empirical research framework was developed by synthesising the past literature on masstige marketing and brand extension. Data was collected using a survey questionnaire from 396 respondents availing M-Wallet. Structural equation modelling was used to validate the brand revitalization attributes; further, the binary logistic regression model examined the effect of revitalization attributes on the chance of increasing customer's perception of masstige.

Findings

The exploratory study suggested brand image, service quality and value for money pricing as essential attributes to revitalize mass brands into masstige brands; furthermore, path analysis validated the positive effects of these attributes on the perception of masstige. The proposed binary logistic regression model suggested brand image as sensitive attributes, increasing the odds ratio by 9.39 times in favour of perceiving brand as masstige followed by the perceived service quality that is 5.87 times. The prediction capability of the proposed binary logistic regression model is found to be 96%.

Practical implications

The methodology of this study provides the basis for future researchers to advance research on masstige. This study will assist the marketers of mass brands to make better marketing decisions related to how masstige image can be sustained or a new or less known brand can be revitalized into a prestigious brand.

Originality/value

This study is the first to provide empirical evidence of how the mass brand can be revitalised as masstige brands by considering image, quality and price attributes.

Details

Asia Pacific Journal of Marketing and Logistics, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1355-5855

Keywords

Article
Publication date: 8 February 2013

Maria Raciti, Rebecca O'Hara, Bishnu Sharma, Karin Reinhard and Fiona Davies

The purpose of this study is to understand the effect of price promotions, venue and place of residence on low‐risk, risky and high‐risk alcohol consumption behaviour of…

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Abstract

Purpose

The purpose of this study is to understand the effect of price promotions, venue and place of residence on low‐risk, risky and high‐risk alcohol consumption behaviour of young women between 18 and 24 years of age who attend university in Australia, Wales and Germany.

Design/methodology/approach

The quantitative, self‐administered questionnaire collected data from a convenience sample of three universities in three OECD countries with high alcohol consumption being: a regional Australian university (n=305), a city Welsh university (n=354) and a rural German university (n=325).

Findings

First, the multinomial logistic regression results revealed that price promotions and venue influenced alcohol consumption in Wales alone while place of residence influenced alcohol consumption in Australia; however, price promotions, venue and place of residence had no effect on young women attending university in Germany. Second, the binomial logistic regression results for Wales reported a sensitivity to price promotions for all three alcohol consumption risk classifications; however, location was of little consequence to risky drinkers when compared to high risk drinkers. For Australia, the place of residence did not influence alcohol consumption for both risky and high‐risk drinkers.

Originality/value

The value of this study lies in the examination of three levels of alcohol consumption – low‐risk, risky and high‐risk – for the same cohort across three countries using the same test instrument and standard alcohol consumption metrics. As such, this study provides a more meaningful macro view of alcohol consumption; thus has the capacity to contribute to effectual intervention strategies.

Article
Publication date: 24 September 2018

Quan Lu, Jiyue Zhang, Jing Chen and Ji Li

This paper aims to examine the effect of domain knowledge on eye-tracking measures and predict readers’ domain knowledge from these measures in a navigational table of…

Abstract

Purpose

This paper aims to examine the effect of domain knowledge on eye-tracking measures and predict readers’ domain knowledge from these measures in a navigational table of contents (N-TOC) system.

Design/methodology/approach

A controlled experiment of three reading tasks was conducted in an N-TOC system for 24 postgraduates of Wuhan University. Data including fixation duration, fixation count and inter-scanning transitions were collected and calculated. Participants’ domain knowledge was measured by pre-experiment questionnaires. Logistic regression analysis was leveraged to build the prediction model and the model’s performance was evaluated based on baseline model.

Findings

The results showed that novices spent significantly more time in fixating on text area than experts, because of the difficulty of understanding the information of text area. Total fixation duration on text area (TFD_T) was a significantly negative predictor of domain knowledge. The prediction performance of logistic regression model using eye-tracking measures was better than baseline model, with the accuracy, precision and F(β = 1) scores to be 0.71, 0.86, 0.79.

Originality/value

Little research has been reported in literature on investigation of domain knowledge effect on eye-tracking measures during reading and prediction of domain knowledge based on eye-tracking measures. Most studies focus on multimedia learning. With respect to the prediction of domain knowledge, only some studies are found in the field of information search. This paper makes a good contribution to the literature on the effect of domain knowledge on eye-tracking measures during N-TOC reading and predicting domain knowledge.

Details

The Electronic Library, vol. 36 no. 6
Type: Research Article
ISSN: 0264-0473

Keywords

Book part
Publication date: 1 August 2012

Alexander Settles and Valentina Kuskova

Purpose – The purpose of this chapter is to examine methodological trends in emerging market strategy research and to provide a comprehensive review of methods of…

Abstract

Purpose – The purpose of this chapter is to examine methodological trends in emerging market strategy research and to provide a comprehensive review of methods of assessing group variation in comparative studies.

Methodology/approach – This comprises a systematic review of the methodology of emerging market research over the past 10 years, followed by methodological best practices for comparative studies involving emerging and mature markets, with exemplars from the past research.

Findings – Despite previous calls for more comparative studies in emerging market research, most of the literature is reporting on single-country studies. There is some confusion in terminology and the methods used in this area of strategy research. Increased attention to the “East” calls for a reevaluation of methods utilized in comparative studies. The methods described in this chapter present best practices for comparative research.

Social implications – More comparative studies would substantially expand our understanding of the differences between the emerging and developed markets, and the potential impact of emerging markets on global economy. Rigorous research methods extend validity and generalizability of the studies.

Originality/value – This chapter is the first study to date to analyze the methodological trends of the entire field of emerging market research over the span of 10 years and to provide systematic methodological recommendations tailored to analyzing variation in comparative studies.

Details

West Meets East: Toward Methodological Exchange
Type: Book
ISBN: 978-1-78190-026-0

Keywords

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