Effects of informal controls and psychological empowerment on job satisfaction

ABSTRACT The aim of this article was to investigate the effects of informal controls on psychological empowerment and job satisfaction. Despite previous studies having analyzed the role of certain management control systems in individual results, such as psychological empowerment and job satisfaction, the evidence on informal controls within this context is inconclusive. Credit union systems play a considerable role in economic growth, regional development, and employability. We therefore explore the perception of directors and managers of business units of one of the biggest cooperative systems regarding the informal controls used. Considering that job satisfaction has a series of implications for organizations (for example in employee loyalty and job performance), it is important to understand its determinants. The literature points to the growing concern among contemporary organizations about informal controls. Various studies focus on understanding the role of these controls and their respective effects on organizational and individual behaviors. From the individual perspective, there is a need to analyze the indirect effects of management controls on individual aspects by means of psychological variables. Thus, this study provides new evidence on informal controls in organizations by exploring the intervening role of psychological empowerment and the (beneficial) effects on job satisfaction. In addition, the study provides a methodological contribution to the national research on management control by adding an analysis based on mixed methods. A survey was applied to directors and managers of business units of one of the biggest credit union systems in Brazil. The data were analyzed using a mixed methods approach: partial least squares structural equation modeling and fuzzy-set qualitative comparative analysis. Informal controls are directly and indirectly associated (via empowerment) with job satisfaction. Moreover, the findings indicate more than one solution for high job satisfaction.

Hypothesis Formalization: Empirical Findings, Software Limitations, and Design Implications

Data analysis requires translating higher level questions and hypotheses into computable statistical models. We present a mixed-methods study aimed at identifying the steps, considerations, and challenges involved in operationalizing hypotheses into statistical models, a process we refer to as hypothesis formalization . In a formative content analysis of 50 research papers, we find that researchers highlight decomposing a hypothesis into sub-hypotheses, selecting proxy variables, and formulating statistical models based on data collection design as key steps. In a lab study, we find that analysts fixated on implementation and shaped their analyses to fit familiar approaches, even if sub-optimal. In an analysis of software tools, we find that tools provide inconsistent, low-level abstractions that may limit the statistical models analysts use to formalize hypotheses. Based on these observations, we characterize hypothesis formalization as a dual-search process balancing conceptual and statistical considerations constrained by data and computation and discuss implications for future tools.

Can Unhappy Pictures Enhance the Effect of Personas? A User Experiment

There has been little research into whether a persona's picture should portray a happy or unhappy individual. We report a user experiment with 235 participants, testing the effects of happy and unhappy image styles on user perceptions, engagement, and personality traits attributed to personas using a mixed-methods analysis. Results indicate that the participant's perceptions of the persona's realism and pain point severity increase with the use of unhappy pictures. In contrast, personas with happy pictures are perceived as more extroverted, agreeable, open, conscientious, and emotionally stable. The participants’ proposed design ideas for the personas scored more lexical empathy scores for happy personas. There were also significant perception changes along with the gender and ethnic lines regarding both empathy and perceptions of pain points. Implications are the facial expression in the persona profile can affect the perceptions of those employing the personas. Therefore, persona designers should align facial expressions with the task for which the personas will be employed. Generally, unhappy images emphasize realism and pain point severity, and happy images invoke positive perceptions.