Only a small number of U.S. businesses have adopted the Baldrige Performance Excellence Program. The purpose of this multiple case study was to explore strategies that executive business leaders use to implement the Baldrige Criteria for Performance Excellence. The study population consisted of six business executives and two organizations in the U.S. state of Texas, all with experience in implementing the Baldrige Criteria for Performance Excellence. The theory of high performance work systems provided the conceptual framework for the study. Data were gathered from interviews and record reviews that were conducted within the organizations. Inductive analysis was used to identify words, phrases, ideas, and actions that were consistent among participants and organizations as well as patterns and themes. Triangulation of sources between the interview and record review data was used for consistency. Three main themes emerged from data analysis: organizations embedded the Baldrige Criteria for Performance Excellence into native work models; they also used robust strategy deployment systems with accountability for action plans to spread the Baldrige Criteria for Performance Excellence; and, rather than specifically create goals to align with the Baldrige Criteria for Performance Excellence, they identified actions to reach organizational strategic goals that were molded using the Baldrige Criteria for Performance Excellence as a business model.
Purpose
The growing interest in the development of entrepreneurial intention (EI) that has increased the importance of theories that explain and anticipate the tendency among individuals to start a new business. However, most of these theories focus on the relationship between entrepreneurs perceptions and their intention and ignore the cognitive and psychological characteristics that might configure their perceptions. Therefore, the purpose of this paper is to integrate the theory of planned behaviour (TPB) with the entrepreneurial event model (EEM) and to extend the combined model to include the personality characteristics of an entrepreneur that might shape the perceptions and intentions.
Design/methodology/approach
This study uses a sample of 688 senior university students (Emirati nationals, 91.2 per cent and expatriates, 8.8 per cent) and employs positivist research with a quantitative approach, adopting a survey strategy through questionnaires and structural equation modelling.
Findings
The results demonstrate the relevance and robustness of the suggested combined and extended model in the prediction of intention on the part of senior university students to become entrepreneurs (explained variance=73.3 per cent) based on survey data (2017; n = 688).
Originality/value
The main contribution of this paper lies not only in the integration of the TPB and the EEM, but also in extending the two theories on which it is based through adding entrepreneurial personality characteristics and an explanation of the mechanism through which entrepreneurial perceptions and EI develop.
Cell formation in cellular manufacturing deals with the identification of machines that can be grouped to create manufacturing cells and the identification of part families to be processed within each cell. Dynamic and random variations in part demands can negatively impact cell performance by creating unstable machine utilizations. The purpose of this paper is to introduce and illustrate an interactive cell formation method that can be used to design 'flexible' cells. Flexibility in this context refers to routing flexibility (i.e., the ability for the cellular system to process parts within multiple cells) and demand flexibility (i.e., the ability of the cell system to respond quickly to changes in part demand and part mix). Through an experimental analysis using multiple data sets, we also validate the procedure and provide guidelines for parameter settings depending upon the type of flexibility of interest to the user. Finally, trade-otfs and interdependences between alternative types of flexibility in the context of cellular systems are illustrated.
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