The HRM Process Approach: The Influence of Employees’ Attribution to Explain the HRM‐Performance Relationship

In an experimental study and a field study, we studied whether high‐commitment human resource management (HC‐HRM) is more effective when employees can make sense of HRM (attribute HRM to management). In the experimental study (n = 354), employees’ HC‐HRM perceptions were evoked by a management case, and their attributions were manipulated with an information pattern based on the three dimensions of the covariation principle of the attribution theory: distinctiveness, consistency, and consensus. As expected, the results showed that the effect of HC‐HRM on affective organizational commitment was stronger when employees understood HRM as was intended by management. This experimental finding was confirmed in a cross‐level field study (n = 639 employees within 42 organizations): the relationship between HC‐HRM, on one hand, and affective organizational commitment and innovative behavior, on the other hand, was stronger under the condition that employees could make sense of HRM. © 2015 Wiley Periodicals, Inc

The New Performance Calculation Method of Fouled Axial Flow Compressor

Fouling is the most important performance degradation factor, so it is necessary to accurately predict the effect of fouling on engine performance. In the previous research, it is very difficult to accurately model the fouled axial flow compressor. This paper develops a new performance calculation method of fouled multistage axial flow compressor based on experiment result and operating data. For multistage compressor, the whole compressor is decomposed into two sections. The first section includes the first 50% stages which reflect the fouling level, and the second section includes the last 50% stages which are viewed as the clean stage because of less deposits. In this model, the performance of the first section is obtained by combining scaling law method and linear progression model with traditional stage stacking method; simultaneously ambient conditions and engine configurations are considered. On the other hand, the performance of the second section is calculated by averaged infinitesimal stage method which is based on Reynolds’ law of similarity. Finally, the model is successfully applied to predict the 8-stage axial flow compressor and 16-stage LM2500-30 compressor. The change of thermodynamic parameters such as pressure ratio, efficiency with the operating time, and stage number is analyzed in detail

Towards understanding of value co-creation on web 2.0 platforms: an assessment methodology

Web 2.0 technologies and social media can be used as a platform for value creation. While some firms are successful in engaging with external audiences on social media, others are less so. Many of these firms have equal access to web 2.0 platforms and operate in similar or same conditions, the resource based view (RBV) offers an explanation for disparities in performance of these organisations: the differences are due to firm internal, valuable, immutable and rare resources. Comparing high- and low-performers in a comparative case study helps to identify and highlight firm internal idiosyncratic resources that result in better sustained performances. In-depth studies inside the organisations answer the questions how and why some firms on the same platform can attract higher engagement levels than others. The problem is how to recognise best and worst performance to conduct in-depth case studies? This paper introduces ALIAS – a methodology for identification of the relative firm performance within a population, and selection of theoretically relevant cases to conduct comparative case studies through the lens of RBV. The proposed methodology is a five step process and utilises the DART framework of value co-creation for identification and assessment of performance criteria

Theoretical Sampling – ALIAS: a Case Selection Framework for Research on Social Media Engagement

Web 2.0 is a platform that supports value co-creation. Firms engage with a variety of audiences to generate additional value. The study presented in this paper looks at employer/employee engagement and identifies high-and low-performers. By comparing successful and less successful firms, the firm specific idiosyncratic relationships are uncovered and firm specific resources as sources of superior performance identified. This paper introduces ALIAS – a methodology for identification of the relative firm performance within a population, and selection of theoretically relevant cases to conduct comparative case studies through the lens of RBV. The proposed methodology is a five step process and utilises the DART framework of value co-creation for identification and assessment of performance criteria