Search results

Management and scholars have been searching for the determinants of project team performance for many years. Individual characteristics and intra‐team processes are most often hypothesized to influence team performance. To date, though, we still do not really understand why some teams perform better than other teams. Studies have provided mixed findings and inconclusive results. The study described in this article continues the search for variables that influence project team performance. The findings provide support for an increasingly, albeit controversial, discussion occurring within human resource circles, concerning the impact of top performers on team performance.

How do you evaluate the implementation of large‐scale organizational change? As more organizations are implementing large‐scale improvement efforts, this has become a vital question for organizations. The importance of this question is underscored by the fact that the literature is filled with articles that suggest that many of these projects fail. In this paper, we provide a tool that can be used to measure the implementation of large‐scale improvement efforts and then we demonstrate how we used this tool to assess the implementation of a performance management system in the government of Botswana. We end with three benefits of using a large‐scale evaluation survey tool: (1) it provides hard data on large‐scale implementation; (2) it helps to de‐politicize situations caused by the stress of undergoing a large change; and (3) it provides management with a tool to help them understand how their organization is functioning.

The concepts of joint optimization and socio‐technical systems have been in the literature for over 40 years. However, efforts to operationalize these concepts for managerial practice have not progressed at the same pace as the theory on joint optimization has advanced. This paper represents an effort to turn the theoretical concept of joint optimization into managerial practice by introducing the concept of system equivalence. In this paper system equivalence (the level at which all three systems (social, technical, and environmental) are mutually equivalent in value (is described to indicate how it should be used. This paper then discusses the usefulness of this concept for managerial practice.

Performance measurement is now commonplace in the private sector. The early focus on financial results has expanded to include measurement of customer satisfaction, business processes, and opportunities for learning and growth. With the increased scrutiny on public and not‐for‐profit organizations to demonstrate measurable results, private sector measurement techniques have been borrowed and applied to these enterprises. The Oregon State Bar (OSB) is the only state bar association in the USA that is known to have pursued a rigorous focus on measurable results for its programs and services. This case study is designed to examine the measures in place for services to sections (special interest groups) within the OSB and recommend improvements. Research on goal setting theory, process management, survey design, and implementation strategies have been used to underpin the case study. The study will show that multiple indicators are necessary at various points in time during the year in order to measure fully whether the desired results are on track for the year.

This paper aims to examine the relationship between managers' understanding of a specific organizational change process and their attitudes towards implementing the change.

After a review of the current literature on the link between organizational change, knowledge of the change, and attitudes towards implementing the change, limited research was found that examined the relationship between knowledge of change and resistance to change. Then original empirical research was conducted by administering a survey to 296 managers from the Botswana Government.

The results of the regression models suggest that managers who understand the change effort are more likely to be less resistant to change. Specifically, the more a manager understood the change, the more likely they were to be excited about the change, the less likely that they would think the change effort would fail, and the less likely they were to state that they wished their organization had never implemented the change.

The major limitation of our research is that the data are self‐reported. The managers themselves rated their knowledge of the change and their resistance or lack of resistance to the change. However, because the question is one where social desirability bias (a major concern of self‐reported data) would lead to no variance (all managers should have said that they understood the change) and the self‐report bias is minimal. The research implications are that a link between knowledge of the organizational change has been found, and resistance to change, adding to the literature on why individuals resist change.

The practical implications is that senior managers need to focus more on developing checks to ensure that managers understand the change program and the implications of the change program as a way of ensuring that they, and their subordinates, understand the change program.

The value of the study is that it is one of the first studies to empirically show a link between knowledge of change and resistance to change. The originality of the study is the dataset (managers from the public sector in Botswana) and the application (managers attempting to implement total quality techniques in a large‐scale bureaucracy).

The linkage between strategic planning and daily activities within an organization is often obscure. Perhaps as a consequence, many well‐developed strategic plans fail to be implemented, and required goals and objectives are not attained. Strategy deployment processes link strategic plans with implementation activities. Instead of investing more time and energy in improving planning or implementation processes, an organization should first examine the deployment processes used to link strategic plans with action – “deployment processes” may be the missing link in the strategic management system. This paper studies the application of formal strategy deployment processes within three US federal agencies. The strategic management literature provides the basis for the deployment processes analyzed in this study. Following the analysis of each individual case, an overall assessment of existing supporting and restraining forces that should be considered when working to improve deployment processes is discussed.

Discusses the process and issues involved in developing a performance measurement system for a virtual engineering team working within a high technology environment. This team consists of members from many different sites across the world with a unique role in maintaining standardized manufacturing processes at the lowest possible cost. As a result, they faced many challenges including communication barriers, culture differences, as well as different reporting structures within each individual site. To help address these issues, a performance measurement system was developed to focus the team on the key actions affecting performance instead of the issues getting in the way. A measurement system was developed that linked the team’s objectives to its mission and identified the critical actions associated with each objective.

This paper presents an integrated framework for the selection of attributes used in the evaluation of advanced manufacturing systems. The primary focus in the development of this framework is the modularity of the framework so that it is applicable to a wide range of advanced manufacturing systems with differing process configurations and technologies. Based on data collected from industry and the current body of knowledge, decision attributes were identified and ranked relatively against each other, forming a hierarchy of decision attributes. To simplify the hierarchy, making it more user‐friendly in real‐world applications, each decision attribute was also evaluated relative to the strength of its relationships to other decision attributes. Several decision attributes were found to be highly correlated with others, resulting in a new, single decision attribute. The final decision attribute hierarchy provides managers responsible for making capital decisions involving advanced manufacturing technologies with a framework for their decision making.

The ability of production organizations to respond quickly to changes in the market with new products requires flexibility. The relationship between manufacturing flexibility and the performance of organizations in new product development is not well characterized. The purpose of this paper is to develop and test a flexibility model focused on new product performance in manufacturing organizations empirically in one industrial sector.

Hypothesized relationships between manufacturing flexibility, new product type, and new product performance are empirically tested using survey data from 273 companies, representing a range of US electronic manufacturers.

Factor and cluster analysis identifies eight distinct flexibility dimensions and a hierarchy among these dimensions. The relationships between the identified flexibility dimensions and new product performance, as tested through correlation analyses, are found to be dependent on the type of new product development.

Overall, this study highlights the complexity of the relationship between manufacturing flexibility and new product performance. This study is conducted in a specific sector, so the results cannot be generalized. More complex mathematical models, requiring a larger data set, would be helpful in further separating out direct and indirect effects of variables, such as new product type, on the relationship between flexibility and performance.

With multiple dimensions of flexibility, organizational leaders must choose the dimension(s) that is/are most appropriate to develop. This study helps provide insight into which dimensions of flexibility a particular plant should focus on, given a particular type of new product.

The study has made a significant contribution by identifying the dimensions of flexibility related to new product performance and in proposing a hierarchical structure for these dimensions. This study has also made a contribution by providing empirical support for the role of new product type as a moderator in the flexibility/performance relationship.

The purpose of this paper is to describe a study investigating the role of organizational context on the effectiveness of engineering work teams.

Previous research was used to operationalize organizational context and work team effectiveness, and a survey was developed to assess both in this research. This study was conducted within two engineering units of a high‐technology company. In total, 16 teams of engineering knowledge workers participated in the study. Correlation and path analysis were used to investigate both direct and mediated relationships between nine organizational context variables and team effectiveness.

Direct relationships between eight organizational context variables and team member satisfaction and between two organizational context variables and team performance were found. Effects of five variables on team member satisfaction were either fully or partially mediated by team processes (TP).

This study empirically validated existing models of team effectiveness and identified multiple dimensions of organizational context that are important to the development of effective teams as measured by team member satisfaction and team performance. The study took place within a single organization. Additional research is necessary to generalize the findings.

A broader cross‐section of organizational context variables were included in this study than in previous studies. This research contributes to the body of knowledge by empirically studying organizational‐team relationships using intact work teams. This research addressed an increasingly important set of teams – teams of knowledge workers. Finally, this research was designed to specifically test for the existence of a mediating variable (TP).