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The purpose of this paper is to design a system for measuring the level of internationalisation of companies in the field of developing countries, through latent variables based on multiple indicators, external and internal orientation.

From a sample of 112 international companies in Colombia, the methodology of latent variable analysis (LPA) is applied to a series of complementary tools, such as a model of structural equations, regression models and cluster analysis of companies.

The paper allows to verify the identification of six latent variables and their relationships, as well as to identify four levels of internationalisation from the structure of latent variables identified.

This is the first application of this recent and sophisticated statistical technique to the field of measuring the level of business internationalisation, especially indicated in the Latin American area, where an increasing number of companies are advancing in their process of international expansion.

Diseñar un sistema de medición del nivel de internacionalización de las empresas en el ámbito de los países en vías de desarrollo, mediante variables latentes basadas en múltiples indicadores, de orientación externa e interna.

A partir de una muestra de 112 empresas internacionales de Colombia, se aplica la metodología de Análisis de Variables Latentes (LPA) unod a una serie de herramientas complementarias, como un modelo de ecuaciones estructurales, modelos de regresión and análisis cluster de empresas.

Que permite verificar la identificación de seis variables latentes and sus relaciones, así como identificar cuatro niveles de internacionalización a partir de la estructura de variables latentes identificadas.

Se trata de la primera aplicación de esta reciente and sofisticada técnica estadística al ámbito de la medición del nivel de internacionalización empresarial, especialmente indicada en el ámbito latinoamericano, donde un creciente número de empresas están avanzando en su proceso de expansión internacional.

This paper focuses on patterns of film consumption within cultural consumption more broadly to assess trends in consumerism such as eclectic consumption, individualised consumption and omnivorous/univorous consumption and whether economic background and status feature in shaping cultural consumption. We focus on film because it is widely consumed, online and offline, and has many genres that vary in terms of perceived artistic and entertainment value. In broad terms, film is differentiated between mainstream commercially driven film such as Hollywood blockbusters, middlebrow “feel good” movies and independent arthouse and foreign language film. Our empirical statistical analysis shows that film consumers watch a wide range of genres. However, films deemed to hold artistic value such as arthouse and foreign language feature as part of broad and wide-ranging pattern of consumption of film that attracts its own dedicated consumers. Though we found that social and economic factors remain predictors of cultural consumption the overall picture is more complex than a simple direct correspondence and perceptions of other cultural forms also play a role. Those likely to consume arthouse and foreign language film consume other film genres and other cultural forms genres and those who “prefer” arthouse and foreign language film have slightly more constrained socio-economic characteristics. Overall, we find that economic and cultural factors such income, education, and wider consumption of culture are significant in patterns of film consumption.

The purpose of the paper is the analysis of the evolution of students’ satisfaction over time in a large Italian university and the effects on it because of some characteristics of the teachers: didactic practices, beliefs and needs with regard to teaching and learning.

The first step of the analysis identifies a latent construct, measured with items composing the questionnaire, and proposes a reduced set of indicators to measure satisfaction and to model its evolution over time (information collected in three consecutive academic years is available). A second step clusters teachers in homogenous groups with reference to their opinions, beliefs and needs, collected with a new survey conducted at the University of Padova, with the aim of developing strategies to support academic teachers. Then, a mixture conditional latent growth model is estimated with covariates affecting the latent parameters and class membership.

Model estimation identifies a large group of university courses with a high level of satisfaction, which stays constant over time, and a small group of problematic courses with low satisfaction, moreover, that decreases over the three considered academic years. Interesting significant effects of covariates related to both the teacher and the didactic activity are estimated.

Statistical analyses show that the implementation of innovative didactic practices and commitment to quality of teaching are important factors to be encouraged by the university management. On the contrary, the traditionalist way of teaching and a low passion for teaching do not improve students’ satisfaction.

The research practice in management research is dominantly based on structural equation modeling (SEM), but almost exclusively, and often misguidedly, on covariance-based SEM. The purpose of this paper is to question the current research myopia in management research, because the paper adumbrates theoretical foundations and guidance for the two SEM streams: covariance-based and variance-based SEM; and improves the conceptual knowledge by comparing the most important procedures and elements in the SEM study, using different theoretical criteria.

The study thoroughly analyzes, reviews and presents two streams using common methodological background. The conceptual framework discusses the two streams by analysis of theory, measurement model specification, sample and goodness-of-fit.

The paper identifies and discusses the use and misuse of covariance-based and variance-based SEM utilizing common topics such as: first, theory (theory background, relation to theory and research orientation); second, measurement model specification (type of latent construct, type of study, reliability measures, etc.); third, sample (sample size and data distribution assumption); and fourth, goodness-of-fit (measurement of the model fit and residual co/variance).

The paper questions the usefulness of Cronbach's α research paradigm and discusses alternatives that are well established in social science, but not well known in the management research community. The author presents short research illustration in which analyzes the four recently published papers using common methodological background. The paper concludes with discussion of some open questions in management research practice that remain under-investigated and unutilized.

The idea that criminal behavior is a function of the offender's personality, also called the Homology hypothesis, has a long history in forensic psychology and criminology. This assumption, however, has been decried as lacking empirical support. In spite of much social concern relative to sexual offenses, there is virtually no research looking at the stability of offending pattern in sex offenders of adult women. This paper aims to fill some of the gaps.

Latent structure analyses were conducted on a secondary dataset including 145 serial rapists. A cross‐sectional, discrete time‐series design was used including a sequence of three offenses.

Moderate support was found for the three main assumptions underlying the Homology hypothesis. Offenses tended to share a relatively similar underlying structure, with the victimology and aggression components being more prominent than the sexual dimension. The three primary profiles identified, labeled “Passive”, “Stranger‐aggressive”, and “Antisocial”, were found to be about 50 percent stable across the sequence. Finally, the presence of significant dysfunction in the family of origin predicted membership in the “Antisocial” class, as well as increased the specificity and stability of this profile. The presence of early maladjustment was not related to any of the states.

Based on the results, it is proposed that future research incorporates contextual‐environmental elements in order to increase the validity of the findings.

This study represents a unique attempt at documenting patterns of stability and variations across incidents of rape, using an institutional sample. Furthermore, it illustrates the use and potential benefits of latent structure models in criminological research.

The purpose of this paper is to examine the number and nature of latent classes of delinquency that exist among male juvenile offenders incarcerated in prisons in Pakistan.

The sample consisted of 415 young male offenders incarcerated in prisons in Khyber Pakhtunkhwa (KPK) Pakistan. Latent class analysis was employed to determine the number and nature of delinquency latent classes. Multinomial logistic regression was used to estimate the associations between latent classes and the three factors of criminal social identity (cognitive centrality, in-group affect, and in-group ties) whilst controlling for criminal friends, period of confinement, addiction, age, and location.

The best fitting latent class model was a three-class solution. The classes were labelled: “minor delinquents” (the baseline/normative class; Class 3), “major delinquents” (Class 1), and “moderate delinquents” (Class 2). Class membership was predicted by differing external variables. Specifically, Class 1 membership was related to having more criminal friends; while Class 2 membership was related to lower levels of in-group affect and higher levels of in-group ties.

Findings are discussed in relation to refining current taxonomic arguments regarding the structure of delinquency and implications for prevention of juvenile delinquent behaviour.

First, most previous studies have focused on school children, whereas, this paper focuses on incarcerated juvenile offenders. Second, this research includes delinquents from Pakistan, whereas, most previous research has examined delinquent behaviour in western cultures.

The purpose of this paper is to propose the use of a user-centric service map to facilitate the visual exploration and monitoring of user context information for proactive market analysis.

The paper supports a context-based market analysis by developing a user-centric service map which comprehensively visualizes a variety of contexts, users, and services. Empirical data were gathered from service descriptions and reviews of 100 mobile application services in the Apple App Store’s lifestyle and healthcare and fitness categories.

The user-centric service map supports the analysis of the context information from using various mobile app services, and can therefore be effectively applied for market-segment analysis and user-value analysis.

The user-centric service map involves implications in terms of multi-disciplinary proactive market orientation and data-driven strategy development, allowing firms to respond to changing market conditions in the mobile business promptly and even preemptively.

The initiative uncovering of latent needs through examining context of use have been an important focus of prior work, but little attempt has been presented in the way of frameworks for converting abundant context data into strategic information. The paper provides new methods and procedures to establish and interpret service maps using flexible visual features.

The authors seek (1) to identify the profiles of subjective financial well-being (SFWB) of bank customers before and during the coronavirus disease 2019 (COVID-19) pandemic, (2) to analyze the transition to profiles of lower SFWB during the pandemic and (3) to identify the factors driving such transitions.

The authors surveyed five countries during 2019 and 2020 to measure SFWB. The authors applied latent class analysis (LCA) to identify profiles of bank customers according to a mix of SFWB indicators in pre-pandemic times (Study 1). The authors validated the profiles during the pandemic and identified the SFWB dimensions that deteriorated during the crisis (Study 2). Finally, the authors applied latent transition analysis (LTA) to explore transitions to profiles of lower SFWB and identify the drivers.

The authors identified three profiles of customers in pre- and post-pandemic periods for four dimensions of SFWB: control over finances, capacity to absorb financial shocks, ability to track financial goals and financial freedom. Gender, age, trust in banks and bank-supporting policies were related to transitions across profiles of SFWB during the pandemic. These relationships are contingent upon contextual country-related variables.

Banks and policymakers should reduce customers' exposure to the pandemic's long-lasting adverse effects on SFWB and should identify and control the multiplier role that contextual variables play.

Extant literature has not fully identified the dimensions of SFWB that changed due to the COVID-19 pandemic. The authors narrow this gap by identifying three SFWB profiles of customers, analyzing the patterns of SFWB change and connecting these changes to individual, provider and contextual factors.

The purpose of this study is to identify latent classes of work values that influence the career choices of Korean workers through a person-centred approach. Because work values may be diverse in individuals, investigating the various combinations of those values will help understand individual's decisions to take, maintain and leave a job.

The authors used a total of 15,103 datasets collected at the national level in South Korea. Data were analyzed by using latent class analysis (LCA); a three-step approach was employed to address classification.

As the results of this study, Class 3, “seeking balanced work values rather than income,” presented the highest level of job satisfaction, whereas Class 1, “seeking job security and income,” exhibited the lowest.

Employing an assessment tool to identify the distinct combinations of work values that individuals possess and then providing them with appropriate training and development programs and customized Human Resource (HR) policies aligned with the classes will be essential tasks for HRD (Human Resource Development)/HRM (Human Resource Management) practitioners.

While it is incontestable that eating in restaurants leads to a higher energy intake than eating at home, this paper explores the even more environmentally relevant connection between meat intake and the location of eating.

Based on secondary data from the US National Health and Nutrition Examination Survey (NHANES), the authors apply a latent class model (LCM), combining latent profile analysis (LPA) and regression analysis. Different (latent) consumer classes are modeled based (1) on share of meat consumption and (2) share of eating out by means of LPA, while class-specific socio-demographic characteristics are estimated by means of ordered logistic regression.

Results of the LPA reveal four (latent) consumer classes with regard to the share of meat consumption and the share of eating out. One class consists mostly of male meat lovers with a high share of eating out, which, however, only represents 7% of the sample. A much larger class represents an affluent social group that consumes the majority of food outside of the home but does not consume significantly more meat than the large group of moderates who mostly eat at home. The fourth class mostly consists of children with a very low intake of meat.

By applying a LCM, the authors shed some light on the relation between meat consumption and eating out. The authors demonstrated that commonly assumed relations, such as men eating more meat than women, do not necessarily apply. Similar findings apply to factors potentially influencing meat consumption, such as education, marital status and income.