Employee stock ownership and job attitudes: Does culture matter?

The large majority of the existing research on the attitudinal effects of employee stock ownership is Anglo-Saxon by nature. Considering that the cultural relativity of management practices is largely documented in the cross-cultural management literature, the international external validity of existing evidence can be questioned. Since virtually no past studies have addressed this issue, it seems important to wonder to what extent cultural values determine the attitudinal effects of employee stock ownership. According to the Lytle et al. [Lytle, A. L., Brett, J. M., Barsness, Z. I., Tinsley, C. H., & Janssens, M., (1995). A paradigm for confirmatory cross–cultural research in organizational behavior. Research in Organizational Behavior, 17, 167–214] paradigm, four cultural dimensions have been identified as likely moderators of the employee ownership–attitudes relationships and some theoretical propositions have been generated. Finally, some adaptations in the employee stock ownership plan's design and communication are recommended in order to improve its attitudinal effects in different cultural settings.     

Models for comparative analysis of culture: the case of Poland

This paper examines the main theoretical frameworks for analysis comparative cultural attitudes. A critical discussion of the work by Kluckhohn Strodtbeck, Hofstede and Trompenaars leads to a new theoretical approach for study the national cultural attitudes and norms of behaviour. A methodology based on research is designed to compare the 'internalized' norms of behaviour with 'perceived' norms. Two different but complementary techniques are applied to a sample of Polish students to investigate Polish cultural attitudes using Hofstede's dimensions. Significant discrepancy is found between what people perceive communicate in public as the 'national cultural norm', and what they have internalized cultural attitude and norm of behaviour. The findings from this exploratory research indicate that there are different levels of internalization of cultural attitudes, and respondents express different cultural values in response to different research tools.     

Model building and estimation strategies for implementing the Balanced Scorecard in Health sector

Over last two decades, the concept of the Balanced Scorecard has had broad application by the health sector internationally, including Hospitals systems and national healthcare systems or organizations. However, the lack of literature on causal-effect relationships between different types of dimensions and indicators poses difficulty in conceptualising and implementing a quality evaluation system based on Balanced Scorecard. Methodologically, the most natural context for Balanced Scorecard conceptualization and estimation deals with Structural Equation Models with latent variables. Partial Least Squares Path Modelling has found increased applications, thanks to its ability to handle complex models. However, the lack of a global optimization criterion makes it difficult to evaluate this procedure. The aim of this article is to propose a methodological conceptualization of the Balanced Scorecard in a new context, as the Health sector, using a suitable statistical approach to estimate causal relationships among specified latent dimensions, together with a model building strategy, a necessary step when expert knowledge is too weak to build a robust and well suited model. Specifically, within the Structural Equation Models framework a two-step model building strategy is presented; the first step build the measurement models based on a clustering (around latent variables) technique and the second step build the structural model based on partial correlations and a procedure that selects the best model in terms of predictive power, measured by the mean of the R ² for the endogenous latent variables. Finally, an application based on administrative archives of Lombardy region (Italy) illustrates the presented methodology.     

Response style behavior: question format dependent or personal style?

In survey research, acquiescence response style/set (ARS) and extreme response style/set (ERS) may distort the measurement of attitudes. How response bias is evoked is still subject of research. A key question is whether it may be evoked by external factors (e.g. test conditions or fatigue) or whether it could be the result of internal factors (e.g. personality or social characteristics). In the first part of this study we explore whether scale length—the manipulated test condition—influences the occurrence of ERS and/or ARS, by varying scale length from 5 till 11 categories. In pursuit of this we apply a latent class factor model that allows for diagnosing and correcting for ERS and ARS simultaneously. Results show that ERS occurs regardless of scale length. Furthermore, we find only weak evidence of ARS. In a second step we check whether ERS might reflect an internal personal style by (a) linking it to external measures of ERS, and by (b) correlating it with a personality profile and socio-demographic characteristics. Results show that ERS is reasonably stable over questionnaires and that it is associated with the selected personality profile and age.     

Multidimensional scaling of consumer preferences for a public transportation system: An application of two approaches

Consumer attitudes toward a proposed new public transportation system were assessed through the application of two multidimensional scaling models to data on preference choices for system attributes. Carroll's vector model and Kruskal and Carmone's nonmetric unfolding model were compared on theoretical and empirical levels to determine their utility for exposing the latent structure of attitudes for a public project. While the unfolding model was attractive because of a theoretical property, the vector model was able to uncover latent dimensions for the attitudes which could be related via discriminant analysis to socio-economic and demographic characteristics of the respondents. The vector model also produced an outcome which was more closely related to a unidimensional analysis of these data. Therefore, even though both the vector and unfolding models produced plausible geometric representations of the attitudes which arc expected to aid urban transportation planners in designing systems, the vector model produced the more acceptable outcome.     

Log-quadratic models for the analysis of Guttman scales and their status correlates

This paper introduces a distinct log-linear approach to the analysis of correlates of Guttman-scale positions. I introduce new models, which are referred to as the log-quadratic models. The models are obtained by imposing certain structural constraints on specific quasi-independence models used by Goodman for the Guttman-scale analysis. The derivation of the models owes in part to early studies of Guttman and Suchman on the intensity of attitudes as a structural component of the Guttman scale. The log-quadratic models employ three important structural parameters that characterize (1) the extent of scalability, (2) the mean Guttman-scale position, and (3) the extent of polarization of scale-type response patterns. The third parameter may also be interpreted in certain cases as a measure of attitudinal intensity. These parameters can be used efficiently as dependent variables for a multinomial logit analysis with status covariates. An application examines the effects of region, occupational status, marital status, age cohort and sex on the patterns of responses to a set of questions about mistreatment by tax authorities. A comparison of results with the application of Schwartz's latent-class models to the same data is also made.     

A multi-process second-order latent growth curve model for subjective well-being

This article proposes a new approach to modelling longitudinal perceptions of subjective well-being (SWB). Several measures have been proposed in the literature to assess SWB and its determinants. Statistical approaches adopted include ordered probit models, fixed and random effects models and cross-lagged structural equation models. The British Household Panel Survey (BHPS) is a longitudinal national representative survey and contains several measures of SWB. Using BHPS data from 2002 to 2005, this article considers two main latent dimensions of life satisfaction: satisfaction with leisure and satisfaction with material issues. The latent trajectories of these two latent life satisfaction dimensions are simultaneously modeled in Mplus, using a multi-process, second-order latent growth curve model. Significant determinants of leisure and material satisfaction growth trajectories include socio-demographic characteristics, number of children in the household, number of hours worked per week, income and perceived health status.     

Entrepreneurial intention among University students in Malaysia: integrating self-determination theory and the theory of planned behavior

The present study endeavors to develop a deeper understanding of the motivational processes involved in intentional entrepreneurial behavior. For this purpose, it integrates the social cognitive approach of the theory of planned behavior (TPB) and the organismic theory of motivation of self-determination theory (SDT). More specifically, it tests the role of basic psychological needs of autonomy, competence and relatedness as defined in SDT in shaping university students’ attitudes and intentions toward entrepreneurship. The sample of this study consisted of 438 (Males?=?166, Females =272) 3rd and 4th year university students from four Malaysian Public Universities. The results of the study show that the model strongly explains about 71% of the variance in entrepreneurial intention. Basic psychological needs of autonomy, competence and relatedness have a strong indirect impact on entrepreneurial intention via their attitudinal antecedents: attitude, subjective norm, and perceived behavioral control. This indicates a full-mediational model, where the attitudinal factors operated as transmitters of effects from the distal constructs of SDT on entrepreneurial intention. These findings confirm that both SDT and the TPB provide complementary explanations of the motivational processes of entrepreneurial behavior. The study contributes to the existing knowledge by providing a theory-based understanding of the role of motivations in the formation of entrepreneurial intentions. It opens the way for future research to analyze how alternative motivations may affect new venture creation, survival and success.

     

The Ordinal Controversy Revisited

We present a discussion of the different dimensions of the ongoing controversy about the analysis of ordinal variables. The source of this controversy is traced to the earliest possible stage, measurement theory. Three major approaches in analyzing ordinal variables, called the non-parametric, the parametric, and the underlying variable approach, are identified and the merits and drawbacks of each of these approaches are pointed out. We show that the controversy on the exact definition of an ordinal variable causes problems with regard to defining ordinal association, and therefore to the interpretation of many recently designed models for ordinal variables, e.g., structure equation models using polychoric correlations, latent class models and ordinal response models. We conclude that the discussion with regard to ordinal variable modeling can only be fruitful if one makes a distinction between different types of ordinal variables. Five types of ordinal variables were identified. The problems concerning the analysis of these five types of ordinal variables are solved in some cases and remain a problem for others.     

National attachments,economic competition,and social exclusion of non-ethnic migrants in Israel: a mixed-methods approach

This paper provides a specific example of how mixed-methods can be used as a useful research design in the study of ethnic exclusionism. Specifically, we investigate the ways in which conceptions of national identity and nationalism and perceptions of socio-economic threat explain exclusionary attitudes of the majority group (Jews) towards labor migrants in Israel. We show how the implementation of the mixed-method approach to the study of discriminatory attitudes towards migrants not only provided evidence for convergence, but also improved our understanding of the complex nature of ethnic relations in modern societies.     

Unit-level linkages between employee commitment to the organization,customer service delivery and customer satisfaction

Service profit chain and service climate research identifies the importance of employee attitudes and employee service behavior as mediating between organizational practices and customer satisfaction. While the importance of employee attitudes and customer service performance are acknowledged, there are calls to more precisely specify proximal mediators between employee attitudes and customer satisfaction. We propose a model in which the relationship between unit-level organizational commitment and customer attitudes is not direct but mediated via employees' customer service delivery including queuing time, serving time and service quality. We conducted a longitudinal unit-level analysis (N = 39) aggregating employee (N over 893) organizational commitment and customer (N over 1248) satisfaction data, and customer service behavior drawn from organizational records. Our model received reasonable support from basic tests of the predictive associations between unit-level organizational commitment, customer-relevant employee behaviors and customer satisfaction; however, organizational commitment was not found to be an important predictor in more rigorous change analyses. The findings as a whole therefore suggest that organizational commitment is a feature of units delivering fast, quality service, but its causal role is as yet unclear.     

THE EFFECTS OF EMPLOYEE OWNERSHIP ON EMPLOYEE ATTITUDES: AN INTEGRATED CAUSAL MODEL AND PATH ANALYSIS*

Research on employee-owned organizations to date has utilized alternative theoretical perspectives and has examined varying attitudinal outcomes. This study reviews previous research and attempts to integrate the findings into a causal model that combines the results of prior studies. the resulting causal model was tested empirically with a sample (N= 181) of employees from a firm that adopted an employee ownership programme. Financial value of the ESOP was positively related to satisfaction with the ESOP plan, but was not related to other attitudinal variables. Perceived influence from ownership was positively related to ESOP satisfaction, job satisfaction, and organizational commitment. ESOP satisfaction, job satisfaction, and organizational commitment were negatively related to turnover intention. ESOP satisfaction and turnover intention were related to actual employee turnover behaviour over an extended time period.     

Demographics,personality, contact,and universal‐diverse orientation: An exploratory examination

This study explores relationships between race, gender, agreeableness, openness to experience, contact, and a measure of attitudes toward diversity—universal‐diverse orientation (UDO). UDO consists of three attitudinal components: realistic appreciation (a cognition), comfort with difference (a feeling), and diversity of contact (a behavior). Results suggest that race, agreeableness, and openness relate to UDO attitudes, primarily due to the relationships of these variables with the behavioral component—diversity of contact. Identifying characteristics of tolerant people (e.g., agreeableness) and training managers in skills related to those characteristics may improve contextual performance and make managers better role models within the organizational context. © 2003 Wiley Periodicals, Inc.     

Social Inequality and the Sociology of Life Style: Material and Cultural Aspects of Social Stratification

The rising importance of dimensions such as age, gender, nationality, ethnicity, political attitudes, and multiple choices to organize the notion of "life course" has made the older class concept appear obsolete to the research sociologist. My thesis is that the current expanding discussions of life styles are not necessarily a substitute but a valuable supplement to social stratification theory. Life style research can contribute to the question of the relevance of the class concept. The result of my investigation shows that life style research, when connected to the writings of Thorstein Veblen, Georg Simmel, and Max Weber, can enrich research in the social sciences.     

Determining the influence of national culture: insights into entrepreneurs’ collective identity and effectuation

While prior research demonstrates that an entrepreneur’s behavior and perceptions are essentially shaped by national culture, little is known about how cultural values impact effectual behavior among entrepreneurs. We outline a conceptual model of how entrepreneurs’ effectual behavior is shaped by collective identity under different levels of cultural conditioning (i.e., national cultural values). Based on a survey of 235 Thai and German entrepreneurs we analyze the impact of Hofstede’s cultural dimensions of power distance, individualism, masculinity, and long-term orientation on the relationship between collective identity and effectuation. Results show that national culture is dispositive for the causal effects of collective identity on effectual behavior. Our findings demonstrate that the entrepreneur’s effectual behavior differs due to their national cultural conditioning.

     

A multidimensional IRT approach for dimensionality assessment of standardised students’ tests in mathematics

Mathematics proficiency involves several content domains and processes at different levels. This essentially means that mathematics ability is a complex latent variable. In standardised testing, the complex, and unobserved, latent constructs underlying a test are traditionally appraised by expert panels through subjective measures. In the present research, we deal with the issue of dimensionality of the latent structure behind a test measuring the mathematics ability of Italian students from a statistical and objective point of view, within an IRT framework. The data refer to a national standardised test developed and collected by the Italian National Institute for the Evaluation of the Education System (INVALSI), and administered to lower secondary school students (grade 8). The model we apply is based on a class of multidimensional latent class IRT models, which allows us to ascertain the test dimensionality based on an explorative approach, and by concurrently accounting for non-constant item discrimination and a discrete latent variable formulation. Our results show that the latent abilities underlying the INVALSI test mirror the assessment objectives defined at the national level for the mathematics curriculum. We recommend the use of the proposed extended IRT models in the practice of test construction, primarily—but not exclusively—in the educational field, to support the meaningfulness of the inferences made from test scores about students’ abilities.     

Investigation of causality based on complex use of statistical methods (case study of social research)

The article deals with the problem of revealing cause–effect relations in the social research by a complex of statistical methods. The ways for solving the problem for experimental and non-experimental data are regarded. In the research the role of the statistical methods in formation of causal relation hypotheses is revealed and the methods of hypotheses verification in conditions of experiment or upon latent structure modelling are discussed. The possibilities of the use of the factor analysis and the analysis of variance in revealing cause–effect relations are also considered. Special attention is paid to the interpretation of the analysis results depending on the character of the empirical data and the conditions they were obtained in. The approaches to causal relations revealing based on the development of the schemes of the complex analysis of the empirical data by the statistical methods aimed at investigation of the cause and effect relation in a long-term research are suggested. We take into account the hierarchical structure of the schemes reflecting the structure of the subject of cognition, the specificity of which requires the use of “rigid” and “flexible” models in combination. Its variant could be the method of structural equation modelling. The article gives an example of the research of causal relations in the assessment of the quality of education services in higher institution. Each stage of the assessment is provided with building of certain “rigid” or “flexible” mathematical models. Their combination allows using the obtained quality parameters as an instrument of regulation of interaction between education service providers and clients.     

Bounds on average causal effects in studies with a latent response variable

Consider a case where cause-effect relationships between variables can be described as a directed acylic graph and the corresponding recursive factorization of a joint distribution. In order to provide the bounds on average causal effects in studies with a latent response variable, this paper proposes a graphical criterion for selecting covariates and variables caused by the response variable. The result enables us not only to judge from the graph structure whether the bounds on an average causal effect can be expressed through the observed quantities, but also to provide their closed-form expressions in case where its answer is affirmative. The graphical criterion of this paper is helpful to evaluate the bounds on average causal effects when it is difficult to observe a response variable.     

“I like it,but I don't use it”: Impact of carsharing business models on usage intentions in the sharing economy

Carsharing is often promoted as a potentially environmental‐friendly alternative to individual car ownership. However, various carsharing programs have displayed limited success in the past. An initial field study of a new carsharing service is such a story of failure: The introduction of this new service at a medium‐sized German university generated unexpectedly low adoption rates so that the service was eventually scaled down and then suspended. Quantitative field study results as well as additional qualitative focus groups reveal that missing compatibility is a key barrier to adoption. Drawing on extant conceptual frameworks of user participation in sharing business models, a factorial survey identifies the importance of different dimensions of carsharing business models for their acceptance. The results reveal that a set of convenience and lifestyle dimensions influences usage intentions, including mode of drive, pickup and drop‐off mode, service level, price model, availability, and type of market mediation. In contrast, vehicle fleet does not appear to influence carsharing models' acceptance. These findings contribute to research on business model configuration as well as the attitude–behavior gap in the sharing economy by determining relevant dimensions of a carsharing business model that can bridge the gap between basically positive attitudes and usage resistance. Thereby, they also serve for concrete managerial recommendations.     

MCMC maximum likelihood for latent state models

This paper develops a pure simulation-based approach for computing maximum likelihood estimates in latent state variable models using Markov Chain Monte Carlo methods (MCMC). Our MCMC algorithm simultaneously evaluates and optimizes the likelihood function without resorting to gradient methods. The approach relies on data augmentation, with insights similar to simulated annealing and evolutionary Monte Carlo algorithms. We prove a limit theorem in the degree of data augmentation and use this to provide standard errors and convergence diagnostics. The resulting estimator inherits the sampling asymptotic properties of maximum likelihood. We demonstrate the approach on two latent state models central to financial econometrics: a stochastic volatility and a multivariate jump-diffusion models. We find that convergence to the MLE is fast, requiring only a small degree of augmentation.