The Identity‐Matching Principle: Corporate and Organizational Identification in a Franchising System*

This paper examines corporate and organizational identification in franchisee organizations from the perspective of the social identity approach. We propose the identity‐matching principle (IMP) as a heuristic for understanding and predicting the different effects of nested identifications. According to the IMP, when identifications and relevant behavioural or attitudinal outcomes address the same level of categorization, their relationship will be stronger. A study is presented with employees (n=281) matched to managers (n=101). Supporting the IMP, organizational identification (but not corporate identification) predicted customer‐oriented behaviour on the level of the local organization, whereas corporate identification (but not organizational identification) predicted attitude toward corporate citizenship behaviour. Furthermore, multilevel analyses showed that these relationships were enhanced in organizations where managers displayed the respective behaviours themselves to a greater extent. Implications for theorizing about leadership and organizational attachments are discussed alongside recommendations for organizational practitioners.     

Hidden Markov chains in generalized linear models

We show how the concept of hidden Markov model may be accommodated in a setting involving multiple sequences of observations. The resulting class of models allows for both interrelationships between different sequences and serial dependence within sequences. Missing values in the observation sequences may be handled in a straightforward manner. We also examine a group of methods, based upon the observed Fisher Information matrix, for estimating the covariance matrix of the parameter estimates. We illustrate the methods with both real and simulated data sets.     

Why does organizational identification relate to reduced employee burnout? The mediating influence of social support and collective efficacy

Although prior studies have consistently shown that organizational identification can reduce employees' stress and burnout, little is known about the mediating processes that underlie this relationship. Against this backdrop and building on recent theoretical work on the social identity model of stress, the present research tests a two-step mediation model for the organizational identification–burnout link. Specifically, it is hypothesized that employees who strongly identify with their organization are particularly likely to receive social support from their colleagues. This, in turn, should promote a sense of collective efficacy and, as a consequence, negatively relate to burnout. Data from a study with 192 Italian high schoolteachers supported the hypotheses.     

The Matter of Space: Bodily Performances and the Emergence of Boundary Objects During Multidisciplinary Design Meetings

Prior research has identified the importance of embodied action in establishing representational infrastructure during disruptions in interdisciplinary work. This study expands on such research by examining meetings of interdisciplinary museum design teams—including educators, designers, researchers, and museum professionals. In these meetings, the museum space (exhibition room) emerges as a boundary object as it is presented through diverse material artifacts including floor-plans and mock-ups. The authors’ analyses identify and describe bodily and discursive practices of place-making and place-imagining that the participants perform as they attempt to maintain continuity across these shifting material forms and occasions.     

Risk patterns in drug safety study using relative times by accelerated failure time models when proportional hazards assumption is questionable: an illustrative case study of cancer risk of patients on glucose‐lowering therapies

Observational drug safety studies may be susceptible to confounding or protopathic bias. This bias may cause a spurious relationship between drug exposure and adverse side effect when none exists and may lead to unwarranted safety alerts. The spurious relationship may manifest itself through substantially different risk levels between exposure groups at the start of follow‐up when exposure is deemed too short to have any plausible biological effect of the drug. The restrictive proportional hazards assumption with its arbitrary choice of baseline hazard function renders the commonly used Cox proportional hazards model of limited use for revealing such potential bias. We demonstrate a fully parametric approach using accelerated failure time models with an illustrative safety study of glucose‐lowering therapies and show that its results are comparable against other methods that allow time‐varying exposure effects. Our approach includes a wide variety of models that are based on the flexible generalized gamma distribution and allows direct comparisons of estimated hazard functions following different exposure‐specific distributions of survival times. This approach lends itself to two alternative metrics, namely relative times and difference in times to event, allowing physicians more ways to communicate patient's prognosis without invoking the concept of risks, which some may find hard to grasp. In our illustrative case study, substantial differences in cancer risks at drug initiation followed by a gradual reduction towards null were found. This evidence is compatible with the presence of protopathic bias, in which undiagnosed symptoms of cancer lead to switches in diabetes medication. Copyright © 2015 John Wiley & Sons, Ltd.     

A class of exact UMP unbiased tests for conditional symmetry in small-sample square contingency tables

Testing conditional symmetry against various alternative diagonals-parameter symmetry models often provides a point of departure in studies of square contingency tables with ordered categories. Typically, chi-square or likelihood-ratio tests are used for such purposes. Since these tests depend on the validity of asymptotic approximation, they may be inappropriate in small-sample situations where exact tests are required. In this paper, we apply the theory of UMP unbiased tests to develop a class of exact tests for conditional symmetry in small samples. Oesophageal cancer and longitudinal income data are used to illustrate the approach.     

Modelling method effects as individual causal effects

Summary.  Method effects often occur when different methods are used for measuring the same construct. We present a new approach for modelling this kind of phenomenon, consisting of a definition of method effects and a first model, the method effect model , that can be used for data analysis. This model may be applied to multitrait–multimethod data or to longitudinal data where the same construct is measured with at least two methods at all occasions. In this new approach, the definition of the method effects is based on the theory of individual causal effects by Neyman and Rubin. Method effects are accordingly conceptualized as the individual effects of applying measurement method j instead of k . They are modelled as latent difference scores in structural equation models. A reference method needs to be chosen against which all other methods are compared. The model fit is invariant to the choice of the reference method. The model allows the estimation of the average of the individual method effects, their variance, their correlation with the traits (and other latent variables) and the correlation of different method effects among each other. Furthermore, since the definition of the method effects is in line with the theory of causality, the method effects may (under certain conditions) be interpreted as causal effects of the method. The method effect model is compared with traditional multitrait–multimethod models. An example illustrates the application of the model to longitudinal data analysing the effect of negatively (such as 'feel bad') as compared with positively formulated items (such as 'feel good') measuring mood states.     

中德跨文化营销运作模式构建

针对文化差异为经贸合作带来的不利影响，采用对比的方法分析了中德两国的文化差异，得出中德两国企业跨文化营销的具体运作过程——选择进入方式，识别文化差异，发展文化认同，建立新的文化。通过对这一模式的构建，可以为中德两国企业跨国经营提供思路和方法。     

An Organizational Model of Higher Education Institutions and Faculty Teaching Goals*

The theory of organizations as “open systems” is used to develop hypotheses on the relationship between academic institutions and faculty teaching goals. The effects of three measures of academic organizations–type of control, institutional functions, and institutional affluence–on faculty support for four types of teaching goals are tested with data from a nationally representative sample of 301 academic institutions. Through the use of a path analytic model, it was found that these organizational characteristics directly affect the types of teaching goals faculty members endorse and the level of support for teaching goals in general.