The Meaning,Antecedents and Outcomes of Employee Engagement: A Narrative Synthesis

The claim that high levels of engagement can enhance organizational performance and individual well‐being has not previously been tested through a systematic review of the evidence. To bring coherence to the diffuse body of literature on engagement, the authors conducted a systematic synthesis of narrative evidence involving 214 studies focused on the meaning, antecedents and outcomes of engagement. The authors identified six distinct conceptualizations of engagement, with the field dominated by the Utrecht Group's ‘work engagement’ construct and measure, and by the theorization of engagement within the ‘job demands–resources’ framework. Five groups of factors served as antecedents to engagement: psychological states; job design; leadership; organizational and team factors; and organizational interventions. Engagement was found to be positively associated with individual morale, task performance, extra‐role performance and organizational performance, and the evidence was most robust in relation to task performance. However, there was an over‐reliance on quantitative, cross‐sectional and self‐report studies within the field, which limited claims of causality. To address controversies over the commonly used measures and concepts in the field and gaps in the evidence‐base, the authors set out an agenda for future research that integrates emerging critical sociological perspectives on engagement with the psychological perspectives that currently dominate the field.     

Are sponsors blamed for edging off? Consumer reactions to sponsorship terminations

Firms regularly terminate sponsorships, even without publicly known misconduct by the sponsee such as athlete doping. Consumer reactions to these sponsorship terminations by firms have not been studied despite being a regular occurrence. Using a set of experimental studies, this paper analyzes consumer reactions to these sponsorship terminations (i.e., early and non-renewal) that were not caused by a sponsee’s misconduct, the underlying process that causes the reactions, and the role of several moderating factors (trust, power balance, and locus of control). Our findings reveal that sponsorship terminations have a negative effect on sponsors’ brand images—particularly early terminations that occur before the end of a contract—because consumers perceive these sponsorship terminations as unfair. The results also suggest that a termination is particularly harmful for the sponsor’s perceived fairness if the sponsor is powerful and if the termination decision is under the sponsor’s control. Further, the termination effect is particularly strong for firms that consumers trust.     

Should I Stay or Should I Go? Explaining Turnover Intentions with Organizational Identification and Job Satisfaction*

The social identity approach is a powerful theoretical framework for the understanding of individuals' behaviour. The main argument is that individuals think and act on behalf of the group they belong to because this group membership adds to their social identity, which partly determines one's self‐esteem. In the organizational world, social identity and self‐categorization theories state that a strong organizational identification is associated with low turnover intentions. Because identification is the more general perception of shared fate between employee and organization, we propose that the relationship between identification and turnover will be mediated by job satisfaction as the more specific evaluation of one's task and working conditions. In four samples we found organizational identification feeding into job satisfaction, which in turn predicts turnover intentions.     

Validation of a Multi‐Dimensional Measure of Strategy Development Processes

In this paper, we present evidence on the measurement properties of an instrument that assesses six dimensions of organizational strategy development. These dimensions are labelled planning, incrementalism, cultural, political, command and enforced choice. Using data from 5332 managers, results indicate the instrument has acceptable reliability and validity. Exploratory factor analysis confirms its underlying structure. Generally, the sub‐scales have acceptable internal reliability and inter‐rater reliability at the organizational level (n = 770 organizations). Further, using data aggregated at the organizational level, the sub‐scales are judged to have acceptable validity from the pattern of correlations amongst the six dimensions and with other variables.     

Religious Social Identities in the Hybrid Self‐presentations of Sikh Businesspeople

This paper explores the identity work practices of Thai Sikh businesspeople. The paper focuses on two important social identities in participants’ self‐presentations – those derived from religious (Sikh) and western business discourses – and identifies powerful tensions in their hybrid identity work. Conducting discourse analysis on identity work practices within interview settings, the authors explore how participants resolve, accommodate or reject these discursive tensions while attempting stable and coherent hybrid self‐presentations. They identify several different forms of hybridity, including what they term ‘equipollence’, which occurs when two equally powerful, contradictory discourses are incorporated in self‐presentations, producing potentially irresolvable intersections and leading to a lack of coherence. Contributions are made to the literatures on religion and work, hybrid identity work processes and social identities.     

Planning personnel retraining: column generation heuristics

Retraining of staff is a compulsory managerial function in many organisations and often requires planning for a large number of employees. The large scale of this problem and various restrictions on the resultant assignment to classes make this planning challenging. The paper presents a complexity analysis of this problem together with linear and nonlinear mathematical programming formulations. Three different column generation based optimisation procedures and a large neighbourhood search procedure, incorporating column generation, are compared by means of computational experiments. The experiments used data typical to large electricity distributors.     

A cross-validation of a structural equation model of accidents: organizational and psychological variables as predictors of work safety

A study to establish a structural equation model of accidents is presented. The eight variables included in the model were those associated with accidents in previous research. The reliability of questionnaires to measure those variables and a structural equation model relating them are provided. The model explaining the occurrence of accidents was cross-validated through three Spanish samples (n=123; 182; 124).The model presented a good fit to data in two samples, while a third had unclear fit indices. Therefore, most relationships among variables did not vary among these three samples. The role of the safety variables in the model is discussed. The discussion is also focused on risk measurement difficulties commonly reported in the literature. Finally, some suggestions for future safety research with structural equation modelling techniques are provided.     

Estimation from Zero-Failure Data

When performing quantitative (or probabilistic) risk assessments, it is often the case that data for many of the potential events in question are sparse or nonexistent. Some of these events may be well-represented by the binomial probability distribution. In this paper, a model for predicting the binomial failure probability, P , from data that include no failures is examined. A review of the literature indicates that the use of this model is currently limited to risk analysis of energetic initiation in the explosives testing field. The basis for the model is discussed, and the behavior of the model relative to other models developed for the same purpose is investigated. It is found that the qualitative behavior of the model is very similar to that of the other models, and for larger values of n (the number of trials), the predicted P values varied by a factor of about eight among the five models examined. Analysis revealed that the estimator is nearly identical to the median of a Bayesian posterior distribution, derived using a uniform prior. An explanation of the application of the estimator in explosives testing is provided, and comments are offered regarding the use of the estimator versus other possible techniques.