Multidimensional credit attitude and credit card debt behavior in the United States

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Jae Min Lee ◽  
Yoon G. Lee
Keyword(s):  
Factor Analysis ◽  
Logistic Regression ◽  
Credit Card ◽  
Composite Index ◽  
The United States ◽  
Future Research ◽  
Credit Card Debt ◽  
Content Type ◽  
Hierarchical Logistic Regression ◽  
Debt Behavior

PurposeThe purpose of this study is to construct composite index variables of credit attitude using six attitudinal variables. This study also examines the relationship between consumer credit attitude and credit card debt behaviors.Design/methodology/approachThis study used the pooled dataset of the 2010 and 2013 Survey of Consumer Finances (SCF) released by the Federal Reserve Board. A total of 8,417 households were used as our analytic sample. The credit card indices were constructed using factor analysis with polychoric correlations. Factors of the credit card debt behaviors were estimated using hierarchical logistic regression models.FindingsThe results of factor analysis identified two credit attitude indices (wants and needs). The results of hierarchical logistic regression analyses show that the credit attitude indices have a positive influence on payment behaviors; households with more favorable attitudes about credit use for non-necessities (wants) were more likely to hold an outstanding credit card balance, have irregular payment practice and pay a revolving charge.Originality/valueAlthough there is ample documentation in the literature of credit behavior, the current literature is deficient in some areas for not addressing unobserved consumer attitudinal dispositions. Further, the separate treatment of selected survey items or an additive scale of survey items has been widely used; however, this approach cannot capture multidimensional characteristics among attitudinal items if credit attitude is not necessarily unidimensional. In response to the shortfall in the extant literature on credit card behavior, this study examined multidimensional aspects of credit attitude as a determinant of credit card debt behavior through methodological justification. Implications for future research and practitioners are provided.

scholarly journals An Observational Cohort Study ofClostridium difficileRibotype 027 and Recurrent Infection

mSphere ◽  
2018 ◽  
Vol 3 (3) ◽  
Author(s):  
Krishna Rao ◽  
Peter D. R. Higgins ◽  
Vincent B. Young
Keyword(s):  
Logistic Regression ◽  
Independent Predictor ◽  
The United States ◽  
Public Health Issue ◽  
Clinical Microbiology Laboratory ◽  
Clinical Predictors ◽  
Content Type ◽  
Ribotype 027 ◽  
Increased Risk ◽  
Wide Range

ABSTRACTRecurrentClostridium difficileinfection (rCDI) frequently complicates recovery from CDI. Accurately predicting rCDI would allow judicious allocation of limited resources, but published models have met with limited success. Thus, biomarkers predictive of recurrence have been sought. This study tested whether PCR ribotype independently predicted rCDI. Stool samples from nonpregnant inpatients ≥18 years of age with diarrhea were included from October 2010 to January 2013 after the patients tested positive forC. difficilein the clinical microbiology laboratory. Per guidelines, the rCDI was defined as a positive test forC. difficileat >2 weeks but ≤8 weeks from the index episode. For each sample, a single colony ofC. difficilewas isolated by anaerobic culture, confirmed to be toxigenic by PCR, and ribotyped. Simple logistic regression and multiple logistic regression were used to model the primary outcome of rCDI, incorporating a wide range of clinical parameters. In total, 927 patients with 968 index episodes of CDI were included, with 110 (11.4%) developing rCDI. Age and use of proton pump inhibitors or concurrent antibiotics did not increase the risk of rCDI. Low serum bilirubin levels and ribotype 027 were associated with increased risk of rCDI on unadjusted analysis, with health care-associated CDI being inversely associated. In the final multivariable model, ribotype 027 was the strongest independent predictor of rCDI (odds ratio, 2.17; 95% confidence interval, 1.33 to 3.56;P= 0.002). Ribotype 027 is an independent predictor of rCDI.IMPORTANCECDI is a major public health issue, with over 400,000 cases per year in the United States alone. Recurrent CDI is common, occurring in approximately one in five individuals after a primary episode. Although interventions exist that could reduce the risk of recurrence, deployment in all patients is limited by cost, invasiveness, and/or an undetermined long-term safety profile. Thus, clinicians need risk stratification tools to properly allocate treatments. Because prior research on clinical predictors has failed to yield a reliable, reproducible, and effective predictive model to assist treatment decisions, accurate biomarkers of recurrence would be of great value. This study tested whether PCR ribotype independently predicted rCDI, and the data build upon prior research in showing that ribotype 027 is associated with rCDI.

scholarly journals Multi‐dimensional nature of service innovation

2011 ◽  
Vol 31 (11) ◽  
pp. 1164-1192 ◽  
Author(s):  
Renu Agarwal ◽  
Willem Selen
Keyword(s):  
Factor Analysis ◽  
Empirical Data ◽  
Structural Equation ◽  
Service Innovation ◽  
Telecommunications Industry ◽  
Equation Model ◽  
Future Research ◽  
Extensive Literature ◽  
Service Network ◽  
Content Type

PurposeInnovation in services is thought to be multi‐dimensional in nature, and in this context the purpose of this paper is to present and operationalise the concept of “elevated service offerings” (ESO) in collaborating service organisations. ESO stands for new or enhanced service offerings which can only be eventuated as a result of partnering, and which could not be delivered on individual organisational merit. ESO helps us expand our understanding of service innovation to include a service network or service system's dimension.Design/methodology/approachA structural equation model is specified and estimated based on constructs and relationships grounded in the literature, as well as self‐developed constructs, using empirical data from 449 respondents in an Australian telecommunications service provider (SP) and its partnering organisations.FindingsResults show that ESO is a multi‐dimensional construct which was operationalised and validated through an extensive literature review, exploratory factor analysis, confirmatory factor analysis, and structural equation modelling using a holdout sample.Research limitations/implicationsQualitative and empirical data analysis was undertaken with data collected from a single large telecommunications SP organisation, and its partnering organisations. Future research may seek to collect data from the entire telecommunications industry sector and their partnering organisations, across other service sectors, or even any other organisation where collaboration is pivotal to their success.Practical implicationsService organisations today need to understand that innovation in services is not just about process or product innovation, or even performance and productivity improvements, but in fact includes organisational forms of innovation. Indeed, the interactions and complementarities between the three different aspects of ESO – strategic, productivity, and performance – highlight the increasing complex and multi‐dimensional character of innovation and the ongoing iterative process.Originality/valueThis research provides empirical evidence for the existence of a multi‐dimensional innovation in services construct – known as elevated service offerings in a collaborative service network, along with an adapted definition of service and a service innovation model.

Exemplary followership. Part 1: refining an instrument

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Tim O. Peterson ◽  
Claudette M. Peterson ◽  
Brian W. Rook
Keyword(s):  
Factor Analysis ◽  
Organizational Citizenship ◽  
Organizational Citizenship Behavior ◽  
Organizational Citizenship Behaviors ◽  
Citizenship Behavior ◽  
Future Research ◽  
Citizenship Behaviors ◽  
Content Type ◽  
The Usa ◽  
The Impact

Purpose The overall purpose of this paper is to determine to what extent organizational citizenship behaviors predict followership behaviors within medical organizations in the USA. This is the first part of a two-part article. Part 1 will refine an existing followership instrument. Part 2 will explore the relationship between followership and organizational citizenship. Design/methodology/approach Part 1 of this survey-based empirical study used confirmatory factor analysis on an existing instrument followed by exploratory factor analysis on the revised instrument. Part 2 used regression analysis to explore to what extent organizational citizenship behaviors predict followership behaviors. Findings The findings of this two-part paper show that organizational citizenship has a significant impact on followership behaviors. Part 1 found that making changes to the followership instrument provides an improved instrument. Research limitations/implications Participants in this study work exclusively in the health-care industry; future research should expand to other large organizations that have many followers with few managerial leaders. Practical implications As organizational citizenship can be developed, if there is a relationship between organizational citizenship and followership, organizations can provide professional development opportunities for individual followers. Managers and other leaders can learn how to develop organizational citizenship behaviors and thus followership in several ways: onboarding, coaching, mentoring and career development. Originality/value In Part 1, the paper contributes an improved measurement for followership. Part 2 demonstrates the impact that organizational citizenship behavior can play in developing high performing followers.

The relationship between EFQM enablers and business performance

2019 ◽  
Vol 30 (4) ◽  
pp. 684-706 ◽  
Author(s):  
Dimitrios Kafetzopoulos ◽  
Katerina Gotzamani ◽  
Dimitrios Skalkos
Keyword(s):  
Factor Analysis ◽  
Quality Management ◽  
Business Performance ◽  
Innovation Performance ◽  
Equation Modeling ◽  
Future Research ◽  
Content Type ◽  
Mediating Role ◽  
Efqm Model

PurposeThe purpose of this paper is to examine the extent to which the five European Foundation for Quality Management (EFQM) model enablers, as the latent factor “enabler excellence,” are associated with business performance, taking into consideration the mediating role of innovation in this relationship.Design/methodology/approachThe analysis followed in order to investigate the relations among the various constructs of the proposed model includes an initial exploratory factor analysis, followed by confirmatory factor analysis and finally structural equation modeling.FindingsAccording to the study findings, “enabler excellence” and innovation performance directly contribute to business performance. Moreover, this paper concludes that innovation performance partially mediates the effect of excellence enablers on business performance.Research limitations/implicationsThis study does not separate between radical and incremental innovation; thus, it would be very interesting to explore this issue in future research. Moreover, it might be useful for researchers to reassess the proposed relationships examining the mediating role of organizational culture.Practical implicationsThis study offers clear implications for managers, proving that they should give higher emphasis on quality management (QM) and the four dimensions of innovation in order to achieve increased performance.Originality/valueBased on the multidimensional structure of the EFQM model, this empirical study determines the contribution of QM to business performance taking into consideration the role of innovation performance as a mediator in this relationship.

Determinants of credit card spending and debt of Chinese consumers

2019 ◽  
Vol 37 (2) ◽  
pp. 545-564 ◽  
Author(s):  
Liqiong Lin ◽  
Mohamad Dian Revindo ◽  
Christopher Gan ◽  
David A. Cohen
Keyword(s):  
Rapid Growth ◽  
Credit Card ◽  
Credit Cards ◽  
Demographic Characteristics ◽  
Chinese Government ◽  
Credit Card Debt ◽  
Chinese Consumers ◽  
Content Type ◽  
Positive Effects ◽  
Credit Card Use

PurposeThe rapid growth of credit card use in China poses the potential for card overuse and the accumulation of increased debt. The purpose of this paper is to report on an investigation into the determinants of overall credit card spending and card-financed debt by Chinese consumers.Design/methodology/approachThis study focusses on two dependent variables: credit card monthly spending and card debt. The spending measure is based on consumer outlay for the month preceding the survey. Card debt is the consumers’ outstanding credit card debt when the survey was conducted. Three groups of independent measures are used: socio-demographic characteristics, card features and consumer attitude towards money. Both card spending and card debt are estimated with OLS methods. Data was obtained from the 2013 China Household Finance Survey of 1,920 households in 29 provinces and 262 counties across China that used credit cards over the survey period.FindingsThe empirical findings suggest consumers’ attitude towards money is more important in explaining card spending and debt variation than socio-demographic characteristics and card features. The credit limit set for a card, obligations to other loans and the method of paying for ordinary shopping exhibit positive effects on both card spending and card debt, while age exhibits a negative effect. Further, card spending is positively correlated with card debts, but the factors that determine card spending do not necessarily affect card debt and vice versa. Minimum card debt payments, cash advances, card tenure and interest-bearing debt have no effect on card spending but have positive effects on card debt. In addition, gender and income have opposite effects on card spending and debt.Practical implicationsThe relationships we have documented suggest several actions the Chinese Government could consider dealing with credit card debt risk. Controlling the aggressive promotional campaigns that card issuers use to attract consumers and aggressive credit policies should be a focus of attention. The Chinese Government might, for example, impose minimum age and income requirements for granting credit cards and prohibit issuance of new cards to applicants who are already in debt with other types of credit. In addition, more stringent criteria to curb increases in card limits and tighter control over cash advances made on cards should be applied. Minimum payment amounts can also be increased in order to reduce credit card debt risk.Originality/valueDespite ample documentation of consumers’ credit card behaviour, the literature is deficient in at least two areas of enquiry. First, most previous research has investigated either credit card spending behaviour or card debt, but not both. Second, with few exceptions, most research has investigated a range of specific factors that affect credit card use. In contrast, this study investigates card spending as well as card debt behaviour using a wide variety of consumer dimensions particularly relevant to credit card use and resulting debt. In addition, this study focusses on Chinese consumers, who traditionally prefer to save first and delay spending. The impact of the rapid growth of credit card use on this traditional Chinese orientation towards spending is dynamic. Documenting the influence of the individual factors examined in this study is likely to be of value to both policy makers and institutions that offer and manage credit in this changing environment.

The theory of planned behaviour and student banking in Australia

2019 ◽  
Vol 38 (1) ◽  
pp. 113-137 ◽  
Author(s):  
Mark Tucker ◽  
Christine Jubb ◽  
Chee Jin Yap
Keyword(s):  
Factor Analysis ◽  
Logistic Regression ◽  
Customer Satisfaction ◽  
Quantitative Methods ◽  
Online Survey ◽  
Theory Of Planned Behaviour ◽  
Behavioural Control ◽  
Planned Behaviour ◽  
Content Type ◽  
Perceived Behavioural Control

Purpose The purpose of this paper is to investigate the extent to which the three constructs associated with the theory of planned behaviour (TPB) can explain student banking intentions and assist in understanding their bank satisfaction. Design/methodology/approach This research issue was investigated using a mixed methods approach, incorporating both qualitative and quantitative methods. Convenience sampling was used. Factor analysis and logistic regression were used to ascertain the relevance of the TPB in explaining student banking intentions. Findings Using factor analysis, perceived behavioural control was shown to be the key determinant in explaining student banking intentions. Using a logistic regression, the TPB was shown to have strong application in predicting customer satisfaction with all three of its constructs significant, but weaker application for predicting the likelihood of a bank switch, with subjective norms and attitude significant, and even less for the likelihood of recommending the bank to a friend, with only perceived behavioural control significant. Research limitations/implications The use of an online survey which limits the pool of respondents to internet users, together with the sample size, limit the generalisability of findings. Practical implications Banks can better target and understand the drivers that influence both student banking intentions and customer satisfaction. This knowledge will allow banks to better attract and retain student customers. Originality/value Provides insight to and a better understanding of how the TPB can explain and predict student banking intentions. This study fills a gap in the literature by concentrating on student banking behaviour in Australia, a substantial segment of bank customers that has received little research.

scholarly journals Measuring hotel employee perceived job risk: dimensions and scale development

2020 ◽  
Vol 32 (2) ◽  
pp. 730-748 ◽  
Author(s):  
Chaowu Xie ◽  
Jiangchi Zhang ◽  
Yanying Chen ◽  
Alastair M. Morrison ◽  
Zhibin Lin
Keyword(s):  
Factor Analysis ◽  
Risk Perceptions ◽  
Safety Management ◽  
Risk Identification ◽  
Measurement Scale ◽  
Future Research ◽  
Measurement Tool ◽  
Content Type ◽  
Hotel Employees ◽  
Risk Dimensions

Purpose The main purpose of this study is to identify the dimensions of hotel employees’ job risk perceptions and develop a measurement scale for this construct. Design/methodology/approach Four studies using a mixed-method design were conducted to develop and validate the scale of hotel employees’ perceived job risk (HEPJR). Study 1 identified the dimensions and initial items of HEPJR through a literature review and in-depth interviews. In Study 2, an explanatory factor analysis was perform to refine the preliminary items. Study 3 further refined the HEPJR scale through a confirmatory factor analysis. Study 4 confirmed that HEPJR is a 19-item scale through a cross-validation analysis. Findings A reliable and valid scale was developed to measure the following five dimensions of HEPJR: perceived human, equipment, internal environment, external environment and management risks. HEPJR and its dimensions significantly predict negative safety consequences and negative job satisfaction. Research limitations/implications Employees in medium- and high-star-rated hotels in China were surveyed. Future research should test the HEPJR scale in other types of lodging formats (e.g. budget hotels, homestays and cruise ships) and different countries or regions. Practical implications Given the increasingly serious job risks faced by hotel employees, the HEPJR scale can become a benchmark for job risk identification, accident prevention and safety management. Originality/value This scale provides a clear conceptualization and an appropriate measurement tool of HEPJR from a risk-source perspective.

A longitudinal assessment on the development of financial fraud offending

2020 ◽  
Vol 27 (4) ◽  
pp. 1173-1189
Author(s):  
Dzhansarayeva Rima ◽  
Alimkulov Yerbol ◽  
Baissalov Ali ◽  
Bissengali Liliya ◽  
Kevin Beaver
Keyword(s):  
Credit Card ◽  
Later Life ◽  
Self Control ◽  
Future Research ◽  
Financial Fraud ◽  
Parental Socialization ◽  
Adult Health ◽  
Longitudinal Assessment ◽  
Content Type ◽  
Nationally Representative

Purpose Fraudulent behaviors have a significant influence on society, impact millions of citizens and result in billions of dollars in losses. Consequently, it is essential to understand the potential correlates and causes of financial fraud offending. To date, however, there has not been much research examining the developmental origins to financial fraud offending. The purpose of this study is to address this gap in the literature. Design/methodology/approach Longitudinal data drawn from the National Longitudinal Study of Adolescent to Adult Health were analyzed. The measures of socialization and individual differences were assessed in adolescence, and then examined to determine whether they predicted the odds of credit card and check frauds in adulthood. Findings The results revealed that the measures of parental socialization were unrelated to later-life financial fraud. Associating with delinquent peers was associated with financial fraud in some of the models as was low self-control and nonviolent propensities. Practical implications In this study, the authors discuss the implications of the current study and offer suggestions for future research. Originality/value To the best of authors’ knowledge, this is one of the first studies to examine the developmental unfolding of fraud offending in a nationally representative sample.

Green supply chain management and innovation: a modern review

2020 ◽  
Vol 31 (2) ◽  
pp. 470-482 ◽  
Author(s):  
Lucas Silvestre de Carvalho ◽  
Nelson Oliveira Stefanelli ◽  
Lilian Carolina Viana ◽  
Diogo de Siqueira Camargo Vasconcelos ◽  
Bruno Garcia Oliveira
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
The United States ◽  
Green Supply Chain Management ◽  
Green Supply Chain ◽  
Future Research ◽  
Chain Management ◽  
Content Type ◽  
The United Kingdom ◽  
Data Source

PurposeThis paper aims to investigate the main associations between research regarding innovation and green supply chain management (GSCM).Design/methodology/approachFor this the study sought to (1) present the most cited authors in the area; (2) demonstrate the main localities that develop research with this focus; (3) list the main journals with the published research on the themes. The methodology used was a bibliometric survey using the Scopus database as the data source. The VOSviewer® software was used to perform the analysis of the database from the respective DOI® of each article.FindingsAs results of the research, it is possible to demonstrate the existence of an agglomeration of countries that are interrelated in the development of research on these themes, especially China, the United States and the United Kingdom as the main foundations of this center.Originality/valueThis paper evidences the direction of scientific research within the analyzed area, demonstrating where there is convergence for innovation in actions related to GSCM. This guidance may demonstrate possible existing and unexplored gaps so that researchers can direct future research or check gaps to be filled by the development of new processes.

Using factor-cluster analysis to segment patrons of casual dining establishments in the United States

2015 ◽  
Vol 117 (4) ◽  
pp. 1377-1398 ◽  
Author(s):  
Jennifer L. Duncan ◽  
Bharath M. Josiam ◽  
Young Hoon Kim ◽  
Alexandria C. Kalldin
Keyword(s):  
Cluster Analysis ◽  
Study Groups ◽  
The United States ◽  
Future Research ◽  
Convenience Sample ◽  
Content Type ◽  
Consumer Demographics ◽  
Casual Dining ◽  
Diverse Groups ◽  
Push And Pull

Purpose – Focussing on behaviors and attitudes of casual dining patrons, the purpose of this paper is to use a factor-cluster approach to segment patrons into market groups and attempts to determine if differences exist in motivational factors among segments. Design/methodology/approach – Factor-cluster analysis is an alternative segmentation method to more traditionally used methods based on consumer demographics. Push and pull motivators were analyzed through factor analysis to determine important groupings. Then, to identify homogenous subgroups, k-means cluster analysis was conducted to segment 559 survey respondents based on factor importance. Findings – Three diverse groups were identified: Fraternizing Kitchen Fearfuls, Functional Feasters, and Foodie Fanatics. The various push and pull factors appeared to affect segments differently, with each cluster ascribing various importance levels to each of the factors used in the clustering approach. Research limitations/implications – Limitations include the use of a convenience sample and on-campus sampling. Future research should use random sampling methods and obtain surveys from sites not associated with a college campus. Practical implications – Though not often used in hospitality research, factor-cluster analysis can be useful to segment diners based on behavioral intentions and attributes, allowing marketers to more accurately target these diverse consumer segments. Marketing implications for casual dining restaurants are suggested. Originality/value – Using the involvement construct with push/pull motivators, this study groups respondents though factor-cluster analysis. Though used in tourism studies, factor-cluster analysis has yet to be studied in the context of casual dining restaurant patrons.

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