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1 – 10 of over 4000Sharyn Rundle-Thiele, Krzysztof Kubacki, Aaron Tkaczynski and Joy Parkinson
The purpose of this paper is to: first, illustrate how market segmentation using two-step cluster analysis can be used to identify segments in the context of physical activity;…
Abstract
Purpose
The purpose of this paper is to: first, illustrate how market segmentation using two-step cluster analysis can be used to identify segments in the context of physical activity; second, identified segments are used to offer practical implications for social marketers working in the area of physical activity.
Design/methodology/approach
A total of 1,459 respondents residing within 20 kilometres of the Melbourne Central Business District participated in an online survey. The questions in the survey included items relating to respondents’ health perceptions, health knowledge, attitudes, intentions to start a new physical activity, demographics, place of residence and self-reported physical activity. Two-step cluster analysis using the log-likelihood measure was used to reveal natural groupings in the data set.
Findings
This research has identified four distinctive segments in the context of physical activity, namely: Young Disinteresteds, Successful Enthusiasts, Vulnerables and Happy Retirees.
Research limitations/implications
The study was conducted in March and some sports were not in season at the time of the study, therefore future research should extend the current sample to take seasonality and geography into account and to ensure the clusters are fully representative of the Australian population.
Originality/value
This paper contributes to the literature by outlining a two-step cluster analytic approach to segmentation that can be used by social marketers to identify valuable segments when developing social marketing programmes.
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In England and Wales, on average one child every week is a victim of homicide. The purpose of this paper is to explore whether different victim-risk profiles and suspect variables…
Abstract
Purpose
In England and Wales, on average one child every week is a victim of homicide. The purpose of this paper is to explore whether different victim-risk profiles and suspect variables can be differentiated for specific victim ages.
Design/methodology/approach
This paper presents a preliminary analysis of more than 1,000 child homicides committed in England and Wales between 1996 and 2013, from data provided through the Homicide Index. Statistical techniques such as cluster analysis were used to identify specific victim-risk profiles and to analyse suspect variables according to the age of victim.
Findings
The findings present a clearer picture of the risk-age relationship in child homicide, whereby several specific risk profiles are identified for specific child ages, comprised of crime variables including; likely victim and suspect demographics, the most likely circumstances of the homicide and methods of killing. Using similar techniques, a number of tentative clusters of suspects implicated in child homicide are also described and analysed, with suggestions of further analysis that might prove of value.
Practical implications
The practical implications cannot be understated. For those professionals working in the fields of child protection and criminal investigation the identification of risk profiles promises to provide a back-cloth with which to practice when confronted with complex and distressing child homicide scenarios. This research promises most to those currently training in related professions.
Originality/value
Although the statistical level of risk has been linked with the age of a child (with younger children being most vulnerable to killing by a parent or step-parent and older children most vulnerable to killing by acquaintances and strangers), extant research is yet to progress beyond the identification of broad age-risk categories. The paper concludes with a discussion of the likely implications for those charged with reducing and investigating child homicide and outlines the possibility of future research.
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Agnieszka Maria Koziel and Chien-wen Shen
This research aims to comprehend the factors that impact the emerging inclination of consumers toward mobile finance technology (fintech) services over banking institutions. The…
Abstract
Purpose
This research aims to comprehend the factors that impact the emerging inclination of consumers toward mobile finance technology (fintech) services over banking institutions. The study focuses on users' demographics and psychographics to delineate their unique segments and profiles.
Design/methodology/approach
The study proposes a segmentation and profiling framework that includes variance analysis, two-step cluster analysis and pairwise statistical tests. This framework is applied to a dataset of customers using a range of mobile fintech services, specifically robo-investment, peer-to-peer (P2P) payments, robo-advisory and digital savings. The analysis creates distinct customer profile clusters, which are later validated using pairwise statistical tests based on segmentation output.
Findings
Empirical results reveal that P2P payment service users exhibit a higher frequency of usage, proficiency and intention to continue using the service compared to users of robo-investment or digital savings platforms. In contrast, individuals utilizing robo-advisory services are identified to have a significantly greater familiarity and intention to sustain engagement with the service compared to digital savings users.
Practical implications
The findings provide financial institutions, especially traditional banks with actionable insights into their customer base. This information enables them to identify specific customer needs and preferences, thereby allowing them to tailor products and services accordingly. Ultimately, this understanding may strategically position traditional banks to maintain competitiveness amidst the increasing prominence of fintech enterprises.
Originality/value
This research provides an in-depth examination of customer segments and profiles within the mobile fintech services sphere, thus giving a nuanced understanding of customer behavior and preferences and generating practical recommendations for banks and other financial institutions. This study thereby sets the stage for further research and paves the way for developing personalized products and services in the evolving fintech landscape.
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Timur Uman, Daniela Argento, Giorgia Mattei and Giuseppe Grossi
This paper explores how public audit institutions establish themselves as distinct actors on the public stage through communication practices. By focussing on the journey of the…
Abstract
Purpose
This paper explores how public audit institutions establish themselves as distinct actors on the public stage through communication practices. By focussing on the journey of the European Court of Auditors (ECA), this paper addresses the following research question: how does a transnational audit institution construct its actorhood through visual communication practices?
Design/methodology/approach
Using the theoretical framework of actorhood theory and inspired by the visual accounting methodology, this study explores the ECA actorhood journey through the visual analysis of front pages of its official journal (ECA Journal) from its inception in 2009 up to 2019. The visual analysis is conducted through content analysis and a two-step cluster analysis.
Findings
By showing how combinations of different visual artefacts have evolved over time, this study highlights the ways transnational public audit institutions, such as the ECA, construct their actorhood and position themselves on the public stage. It further reveals the underlying legitimacy mechanisms through which organisations such as the ECA position themselves in the public eye.
Originality/value
This study sheds light on the depiction of individuals and their contexts in interaction with each other and how this interaction reveals the development of the actorhood journey of the ECA over time.
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Cataldo Zuccaro and Martin Savard
The objective of this paper is to present and discuss the development of a transaction‐based model for segmenting users of internet banking. It aims to employ a random sample of…
Abstract
Purpose
The objective of this paper is to present and discuss the development of a transaction‐based model for segmenting users of internet banking. It aims to employ a random sample of clients of a large Canadian bank in generating the hybrid segments.
Design/methodology/approach
The basic transactional profile of the bank's clients was merged with Mosaic's financial segments contained in the Generation5 database. A random sample of 3 percent of a large Canadian chartered bank's clients was drawn from its transaction database. The transaction database employed contains clients from Quebec and the Maritime provinces. The sampling frame consisted of close to one million clients. Two‐step cluster analysis was employed to generate the transaction segment and later merged with the Mosaic financial segment to produce hybrid segments.
Findings
Two‐step cluster analysis identified four generic transaction segments which, when cross‐tabulated with the Mosaic financial segments, produced highly stable and interpretable segments. These hybrid segments are clearly superior to conventional life style or psychographic segments produced by classical segmentation methodologies.
Practical implications
The results of this study clearly demonstrate the functional and analytical superiority of hybrid customer segments. Hybrid segmentation, by cross‐tabulating transaction and Mosaic's financial segments, provides banks and financial institutions with superior strategic insights in customer understanding, customer segmentation, customer communication, customer prospecting and targeting.
Originality/value
This paper is the first to present, explain and to demonstrate the nature and the operational procedure to develop hybrid customer/client segments. More importantly, it is the first that goes beyond conventional approaches to segmenting banks' clients who engage in internet banking by integrating clients' transaction profiles and Mosaic financial segments. The resulting hybrid segments are radically different than the conventional, one‐dimensional segments produced by conventional cluster‐based segmentation.
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Pamela Saleme and Bo Pang
Active school travel (AST) programmes aim to change commuting behaviour to improve children's physical and mental health. However, very limited health education programmes for…
Abstract
Purpose
Active school travel (AST) programmes aim to change commuting behaviour to improve children's physical and mental health. However, very limited health education programmes for children use segmentation to create tailored solutions that understand the specific characteristics of each group of children and their caregivers in order to yield better results. The aim of this study is to use a statistical segmentation analysis (two-step cluster analysis) to gain insights on the examination of specific groups to design future health education interventions and campaigns that can improve children's health.
Design/methodology/approach
Guided by the Ecological and Cognitive Active Commuting (ECAC) framework, a market segmentation analysis was performed. An online survey was designed to collect data from caregivers of children between 5 and 12 years attending school and responsible for taking the child to and/or from school in Victoria and Queensland, Australia. Using 3,082 responses collected from Australian caregivers of primary school children, a two-step cluster analysis was performed.
Findings
Analysis revealed the most important variables for group formation were previous child walking behaviour, distance from school and caregiver income. Perceived risk of the physical environment was the most important psychographic segmentation variable for group formation, followed by social norms. Four distinct groups with different characteristics were identified from the analysis.
Originality/value
This is the first study that applies the ECAC framework to perform market segmentation in the AST context. Results revealed four market segments that demand different tailored solutions. Findings shed light on how to better design AST interventions and campaigns to promote children's health using segmentation techniques.
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Dorina Nicoleta Popa, Victoria Bogdan, Claudia Diana Sabau Popa, Marioara Belenesi and Alina Badulescu
The purpose of this work is twofold. First, looks to identify the main homogenous groups of companies after environmental, social, economic and governance (ESEG) disclosures…
Abstract
Purpose
The purpose of this work is twofold. First, looks to identify the main homogenous groups of companies after environmental, social, economic and governance (ESEG) disclosures, non-financial statement and earnings per share (EPS), and second investigates the connection between variables.
Design/methodology/approach
Using financial and non-financial information from annual reports of private listed companies, the authors performed two-step cluster analysis (TSCA) in the first stage of the research, followed by parametric, nonparametric correlation analysis, as well as regression analysis based on panel data, in the second stage.
Findings
Results of TSCA revealed a cluster of companies with good financial and non-financial outcomes and a cluster of companies with poor performance. The performance dynamics showed a slight improvement during the period for few companies and composition analysis of clusters by industries through Kruskal–Wallis test highlighted differences between clusters, only for 2017. The main findings confirm a direct, although weak in intensity but statistically significant correlation between ESEG disclosure index, its sustainability component and financial performance (FP), valid for the entire period. Also, the results showed a direct link of low intensity to average, but statistically significant between the non-financial statement and EPS, valid only for 2017 and 2018.
Research limitations/implications
The results indicate mixed findings which invites further in-depth research. Limits of the study can be found in selected indicators and the short period of time analyzed. However, the practical implications are worth considering from the perspective of finding new managerial tools that can better shape the relationship between ESEG disclosures and FP.
Practical implications
ESEG Dindx can be an instrument for managers that can optimize the link between the FP of companies and its sustainable development.
Social implications
ESEG Dindx measures the disclosure degree of ESEG information by the companies listed on Bucharest Stock Exchange (BSE). The main findings of the work confirm a direct, although weak in intensity but statistically significant correlation between ESEG disclosure index, its sustainability component and FP, valid for the entire period.
Originality/value
This study adds value to the existing literature by the proposed research framework, design of ESEG Dindx and the way correlations between variables were investigated.
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Maria Teresa Trentinaglia, Daniele Cavicchioli, Cristina Bianca Pocol and Lucia Baldi
The goal of this study is to understand if ethnocentrism exists at the sub-regional level among honey consumers living in the same production area as a protected designation of…
Abstract
Purpose
The goal of this study is to understand if ethnocentrism exists at the sub-regional level among honey consumers living in the same production area as a protected designation of origin (PDO). Moreover, this analysis explores if ethnocentrism is influenced by individual economic conditions, among other socio-demographic characteristics.
Design/methodology/approach
A sample of 725 consumers was collected through the use of a questionnaire that was circulated in the province of Varese, one of the few honey PDO areas in Italy. The authors performed a principal component analysis and a two-step cluster analysis to identify different PDO honey consumer segments, focusing on their interest for PDO attributes.
Findings
The authors identified four consumer segments, depending on socio-demographic, consumption habits, frequencies, preferred attributes and preferences for the PDO product. One cluster exhibited strong preferences for the PDO honey, in the spirit of ethnocentrism, and was characterised by low-income levels; ethnocentric preferences were also observed in another cluster that had a different socio-economic profile.
Research limitations/implications
Honey is a niche product and not universally diffused among consumers: further analyses should investigate sub-national ethnocentrism for more universal food products. Yet, through the inspection of the different profiles found, it was possible to devise marketing strategies to boost PDO honey purchasing and to bring consumers closer to PDO products.
Originality/value
This analysis considers ethnocentrism as a segmentation criterion for PDO honey consumers that live in the very same PDO honey production area and enriches the existing literature on the relationship between ethnocentrism and individual economic status.
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Organizing entrepreneurship policy efforts is not an easy task. There are often several different actors involved, and their efforts towards improving conditions for entrepreneurs…
Abstract
Purpose
Organizing entrepreneurship policy efforts is not an easy task. There are often several different actors involved, and their efforts towards improving conditions for entrepreneurs may be more or less organized. The purpose of this paper is to investigate the organizational archetypes of local entrepreneurship policy, across a number of factors relating to coordination mechanisms and outsourcing.
Design/methodology/approach
The study is based on a survey of 77 Danish municipalities, covering 79 per cent of the total population, and their entrepreneurship policy structures. A two-step cluster analysis has been performed to identify taxonomies of entrepreneurship policy organizations.
Findings
The findings reveal four different clusters: arm’s length coordination; arm’s length decoupling; internal centralization; and arm’s length centralization. Moreover the study reveals a link between these archetypes and the effectiveness of the local entrepreneurship policy delivery structure, suggesting that some structures may be more effective than other.
Originality/value
The paper shifts the focus from policy formulation to organization, showing the importance of organizational structure for better performance. Specifically, the paper illustrates how lack of reaction to the environment leads to underperformance. Moreover, the paper draws the attention towards these new taxonomies, which are of value not only to academia but also to the political world.
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Kailash Choudhary and Kuldip Singh Sangwan
The purpose of this paper is to identify and analyze the impact of green supply chain management (GSCM) pressures, implementation level of GSCM practices and improvement in…
Abstract
Purpose
The purpose of this paper is to identify and analyze the impact of green supply chain management (GSCM) pressures, implementation level of GSCM practices and improvement in performance of the Indian ceramic enterprises. The paper also aims at benchmarking the Indian ceramic enterprises based on enterprise size and market orientation (export activity).
Design/methodology/approach
The research is based on the empirical study of Indian ceramic industry. Propositions are developed to study: the impact of GSCM pressures, implementation level of GSCM practices, improvement in GSCM performance, and the effect of GSCM pressures on implementation of practices, and impact of GSCM practices on GSCM performance. Data are collected from Indian ceramic enterprises of different sizes. Exploratory factor analysis is performed to segregate the pressures, practices and performance variables into constructs. Two-step algorithm, with log-likelihood measures of distance and Bayesian information criterion, is used to decide the optimal number of clusters. These clusters are compared and benchmarked according to the enterprise size and export activity.
Findings
This study finds that the implementation level of GSCM practices is higher in large- and medium-size enterprises as compared to small-size enterprises. Large- and medium-size enterprises have high impact of mimetic and informative pressures and small enterprises have high impact of coercive pressure (CP). Although the CP is high on small enterprises but due to the limited resources, these enterprises cannot afford to implement GSCM practices. The implementation of GSCM practices results into the improvement of environmental and operational performance but decrease in economic performance.
Practical implications
The findings of this study will suggest the policy maker to encourage the diffusion mechanism through a collaborative partnership with larger enterprises to enhance the implementation level of GSCM practices in small-size enterprises.
Originality/value
The novelty of the paper are: it analyzes and benchmarks GSCM pressures, practice and performance for Indian ceramic enterprises by considering enterprises size and export activities as control variables, and it finds the effect of GSCM pressures on the implementation level of GSCM practices and improvement in enterprise performance for Indian ceramic enterprises.
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