Beyond personal Leader Member Exchange (LMX) quality:the effects of perceived LMX variability on employee reactions

A fundamental tenet of Leader–Member Exchange (LMX) theory is that leaders develop different quality relationships with their employees; however, little research has investigated the impact of LMX differentiation on employee reactions. The current research investigates whether perceptions of LMX variability (the extent to which LMX relationships are perceived to vary within a team) affects employee job satisfaction and wellbeing beyond the effects of personal LMX quality. As LMX variability runs counter to principles of equality and consistency, which are important for maintaining social harmony in groups, it is hypothesized that perceptions of LMX variability will have a negative effect on employee reactions, via its negative impact on perceived team relations. Two samples of employed individuals were used to investigate the hypothesized relationships. In both samples, an individual's perception of LMX variability in their team was negatively related to employee job satisfaction and wellbeing (above the effects of LMX), and this relationship was mediated by reports of relational team conflict.

Response-based segmentation using Finite Mixture Partial Least Squares: theoretical foundations and an application to American Customer Satisfaction Index Data

When applying multivariate analysis techniques in information systems and social science disciplines, such as management information systems (MIS) and marketing, the assumption that the empirical data originate from a single homogeneous population is often unrealistic. When applying a causal modeling approach, such as partial least squares (PLS) path modeling, segmentation is a key issue in coping with the problem of heterogeneity in estimated cause-and-effect relationships. This chapter presents a new PLS path modeling approach which classifies units on the basis of the heterogeneity of the estimates in the inner model. If unobserved heterogeneity significantly affects the estimated path model relationships on the aggregate data level, the methodology will allow homogenous groups of observations to be created that exhibit distinctive path model estimates. The approach will, thus, provide differentiated analytical outcomes that permit more precise interpretations of each segment formed. An application on a large data set in an example of the American customer satisfaction index (ACSI) substantiates the methodology’s effectiveness in evaluating PLS path modeling results.

'Taking a sickie':Job satisfaction and job involvement as interactive predictors of absenteeism in a public organization

Correlations between absenteeism and work attitudes such as job satisfaction have often been found to be disappointingly weak. As prior work reveals, this might be due to ignoring interactive effects of attitudes with different attitude targets (e.g. job involvement and organizational commitment). Drawing on basic principles in personality research and insights about the situational variability of job satisfaction judgments, we proposed that similar interactions should be present also for attitudes with the same target. More specifically, it was predicted that job involvement affects absenteeism more if job satisfaction is low as this indicates a situation with weak constraints. Both attitudes were assessed in a sample of 436 employees working in a large civil service organization, and two indexes of absence data (frequency and time lost) were drawn from personnel records covering a 12-month period following the survey. Whereas simple correlations were not significant, a moderated regression documented that the hypothesized interaction was significant for both indicators of absence behaviour. As a range of controls (e.g. age, gender, job level) were accounted for, these findings lend strong support to the importance of this new, specific form of attitude interaction. Thus, we encourage researchers not only to consider interactions of attitudes with a different focus (e.g. job vs. organization) but also interactions between job involvement and job satisfaction as this will yield new insights into the complex function of attitudes in influencing absenteeism. © 2007 The British Psychological Society.

Determining consumer satisfaction and commitment through self-service technology and personal service usage

This paper expands research into self-service technology in the service encounter. Self-service technology is where customers deliver service themselves using some form of a technological interface. There is still a great deal unknown about self-service technology, in particular its impact on consumer satisfaction and consumer commitment. With that in mind, this empirical study explores the relative impact of self-service technology on consumer satisfaction and on a multidimensional measure of consumer commitment containing affective commitment, temporal commitment and instrumental commitment. The results reveal that in a hotel context personal service still remains very important for assessments of satisfaction, and affective and temporal commitment. What is particularly interesting is that self-service technology, while impacting these constructs, also impacts instrumental commitment. This suggests that positive evaluations of self-service technology may tie consumers into relationships with hotels. A discussion and implications for managers are provided on these and other results, and the paper is concluded with further potential research.