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Research has demonstrated that political skill is associated with leadership effectiveness. However, the field still lacks understanding of how political skill makes leaders more effective. The purpose of this paper is to contribute to the political skill literature by investigating a specific mechanism through which political skill may relate to follower commitment.

The study population was drawn from 148 supervisors and 988 subordinates from top, middle and operational levels in the business organizations.

Structural equation model analysis showed that political skill was positively related to Participation in decision making (PDM) and PDM was positively related to organizational commitment (OC). Furthermore, political skill indirectly predicted OC via PDM. In addition, the direct relationship between political skill and OC was not significant, suggesting “full” mediation. Finally, politically skilled leaders’ desire to encourage followers to participate in decision making was amplified by their ability to build strong, beneficial alliances and coalitions, resulting in increased social capital and even greater influence.

Involving subordinates in decision processes is likely to inspire trust and confidence, promote credibility, help develop a favorable relationship with the leader and enhance pride of participation in the organization.

The findings in the present study are of great importance for future research on political skill. It may change the approach for testing the validity of the theory by focusing on influence tactics. This approach will, in the authors’ view, constitute the future research avenue for research on political skill.

The purpose of this paper is to capture challenges faced and lessons learned when implementing Lean in higher education.

During 2010-2014, faculty, staff, and administration from three community colleges and four four-year universities attended Educational Lean workshops. Semi-structured interviews were conducted with the administrators who originally sought the training opportunity or their designee who coordinated Lean events.

The paper provides insights from seven colleges and universities who have experience with implementing Lean in higher education. Organizational and personal elements are identified and discussed along with seven critical reflection questions to consider before implementing Lean.

Further research is needed to understand the role of the senior leadership team when implementing Lean as a continuous improvement strategy. This research provides some insight, but is limited to the factors identified by the seven institutions.

The findings of this study can be used to assist higher education institutions considering a Lean initiative. Critical reflection questions include: Who will oversee the Lean initiative? How will human and financial resources be allocated? When and how will professional development opportunities be offered for senior leaders, facilitators, and employees? How will facilitators continue to develop their skills? How will projects be selected? How will Lean thinking be introduced into academic departments?

This provides original research in the area of implementing Lean in higher education and its concurrent challenges.

The purpose of this study is to examine the effectiveness of the Thai nursing student competency enhancement program applied through project-based learning (PjBL) in caring for the elderly in the community.

This quasi-experimental one-group pre-post-test design was used to compare mean scores on gerontological nursing competency scales comprising four dimensions including holistic health promotion, empirical evidence, empowerment and quality care and ethical and moral competencies. A total of 95 participants were randomly selected from a list of registered attendees. A five-week PjBL approach for a community nursing practicum was designed and comprised of an introduction to the project, components of research methodology, group projects and group presentations. A gerontological nursing competencies questionnaire was used with participants, and data were analyzed using descriptive statistics. Two-way ANOVA and a paired t-test were used to compare pre-post mean scores of competencies.

A total of 95 students participated in the PjBL and the majority of participants were female (92.6%). The results revealed post–PjBL mean scores of gerontological nursing competencies were higher than the premean score (p value < 0.05) except the empirical evidence competencies which showed no statistical difference.

Since the results show the effectiveness of the student nursing competency enhancement program through PjBL when caring for the elderly in the community, it is important for health care instructors to apply PjBL, especially in community nursing. Improving empirical competency evidence among nursing students is still required and necessary.

The purpose of this paper is to examine the similarities and differences in human resource (HR) practices between large and mid‐sized organizations.

With organization life cycle as the theoretical base, this study collects data on HR practices from a sample of mid‐sized firms in one western state and compares the results to a previously published study of HR practices in much larger firms. Mid‐sized firms are defined as having between 300 and 3,000 employees (mean=1,205); the average number of employees in the large firm sample was 30,700.

While there are some similarities in HR practices, it appears that HR organizations in large firms are more targeted at strategic business issues and have achieved a greater degree of outsourcing and/or information technology application for the routine, file maintenance aspects of HR work. On the other hand, HR informants in mid‐sized firms are more operationally focused, appear to be more satisfied with the skills and knowledge of their significantly smaller HR staffs, and give their HR organizations higher ratings on performance along multiple dimensions.

Limitations to the present study include the use of a single informant and a limited sample of mid‐sized firms (n=32). However, the study suggests numerous possibilities for future research, including expansion of the sample both in size and geographic scope, the collection of measures of performance for comparison with those of HR satisfaction, and fuller development of a set of expectations for HR focus dependent on the size and rate of growth of the organization.

The HR practices of large and small (less than 500 employees) firms have been studied in the past. This paper fills a gap in organization life cycle theory by examining HR practices in mid‐sized firms, suggesting in particular that the drive to refocus HR on strategic issues in large firms may be inappropriate in enterprises with 300 to 3,000 employees.

Thirty‐one senior‐ and middle‐level managers from Burr‐Brown Corporation, a multinational electronics manufacturer, held a three‐day meeting to evaluate the one‐ and five‐year strategic plans of each of the firm's eight divisions.

Based on social influence theory (SIT) and social capital theory, this paper aims to explore the mediating role of entrepreneurial networks between technological entrepreneurs' political skills and entrepreneurial performance and whether market dynamics positively moderates this relationship.

This study collected data from 454 technological entrepreneurs in Beijing, Shanghai, Hangzhou, Guangzhou, Zhengzhou in China and examined four hypotheses by hierarchical regression analysis and bootstrapping analysis in an empirical design.

Results reveal that technological entrepreneurs' political skills not only have a direct positive impact on entrepreneurial performance (β = 0.544, t = 12.632, p < 0.001), but also have an indirect positive impact on entrepreneurial performance through entrepreneurial networks (β = 0.473, t = 10.636, p < 0.001). Entrepreneurial networks play a mediating role between entrepreneurs' political skills and entrepreneurial performance with 95% bias-corrected confidence intervals [0.034, 0.015]. Market dynamics plays a moderating role in the relationship among technological entrepreneurs' political skills, entrepreneurial networks and entrepreneurial performance (entrepreneurial performance: β = 0.190, t = 4.275, p < 0.001; entrepreneurial networks: β = 0.135, t = 4.455, p < 0.001). When market dynamics is high, technological entrepreneurs' political skills have a significant positive effect on entrepreneurial networks (simple slope = 0.309, t = 7.656, p < 0.001); but when market dynamics is low, there is no significant correlation between political skills and entrepreneurial networks (simple slope = 0.039, t = 0.966, p > 0.05).

The study relies on self-reported data from single informants. Although the severity of common method bias is tested through two methods, future research designs should avoid the influence of common method bias. Future research should adopt a vertical tracking design, collect data from multiple sources and use subjective assessment and objective indicators to measure variables. In addition, the applicability of the results outside China is worth further empirical exploration. Therefore, the authors hope that future studies can replicate the research to different countries, different cultural backgrounds and different organizational sections to explore the generalizability of the results.

The findings provide useful suggestions for entrepreneurs, who can use political skills to build a strong entrepreneurial network to improve their entrepreneurial performance. The results also suggest that entrepreneurs should pay more attention to cultivating and developing their political skills through methods such as training and practice. In addition, the conclusion is of great implications to enrich the content of entrepreneurship education and guide entrepreneurship practice.

These findings enrich SIT and social capital theory by providing the empirical evidence of the effect of entrepreneurs' political skills on entrepreneurial performance through entrepreneurial network. They also provide deeper insights into market dynamics research by uncovering the moderating role of market dynamics in the relationship between entrepreneurs' political skills, entrepreneurial networks and entrepreneurial performance.

Effective human resource planning allows management to recruit, develop and deploy the right people at the right place at the right time, to meet organizational internal and external service level commitments. Firms are constantly looking out for strategies to cope with skill shortages that are particularly acute in the “knowledge intense” industries due to high staff turnover. The purpose of this paper is to describe how system dynamics modeling allows management to plan to hire and develop right level of skills and competencies in the organizational inventory to meet desired service level targets.

An integrated system dynamics framework is used to develop various feedbacks and feed forward paths in the context of competence planning and development. The model is mapped onto an overseas process industry company's recruitment and attrition situations and tested using real data.

Strategies for human resource planning are developed by conducting time‐based dynamic analysis. Optimum design guidelines are provided to reduce the unwanted scenario of competence surplus and/or shortage, and therefore, to reduce disparity in between service level needs and availability of right competencies.

System dynamics type of modeling is usually suited for medium to long range timescale (two to five years scenarios). There is a need for the model to be tested in a high turnover industry such as IT to test its efficacy in short‐term time scale, where shortage in required talent is more acute. Also this model is tested for measuring the generic skill‐sets in here. There is a need to test the model for a mixture of generic and specialized skills‐set in a specific business operation.

The authors anticipate that system dynamics modeling would help the decision makers and HR professionals to devise medium to long‐term human resource planning strategies to anticipate and meet the service level expectations from the internal and external customers.

Such planning exercise will avoid the situation of customer dissatisfaction due to right competence shortages. Also this will reduce the staff surplus scenario that usually leads to knee‐jerk reaction to lay‐off unwanted skills, which is usually a costly exercise and impacts negatively on staff morale.

Use of the systems dynamics model introduced here is a novel way to analyze human resource planning function to meet the target service level demands. The idea that an organization can estimate the service level requirements for medium to long‐term situations, and conduct what‐if scenarios in a dynamic sense, can provide valuable information in strategic planning purposes.

The purpose of this paper is to examine how training specific to a given operational task, and subsequent experiential learning, can heighten skill and hence shift the level of workload at which individuals are most productively motivated.

To analyze these effects, a laboratory experiment was used involving a vehicle routing application and 156 managers exposed to a 2 × 3 complete treatment design. Both multi‐period objective in‐task data and subjective self reports are collected to tap into skill levels, actions and behavioral variables of interest.

In the absence of additional workload challenges, the paper finds that increases in skill may in fact significantly limit and in some cases actually degrade overall motivation, as well as objective performance.

Limitations potentially stem from specific operationalizations of the factors studied as well as selectivity of the subject pool and the context (vehicle routing task).

The implications of the skill‐challenge‐motivation dynamics observed have direct repercussions for existing management models in which training and experience are viewed as having strictly monotonic benefits to performance. The implications also go far to promote more informed models of worker behavior in operations modeling that otherwise view performance as static or monotonically increasing based on experience.

This is believed to be the first study that has explicitly studied the inverted‐U dynamics stemming from the interplay of both skill and workload on motivation and performance, over a multi‐period framework of analysis.

The purpose of this paper is to explore the impact of the employer’s wage policy on the wage dynamics of vulnerable groups of employees at large firms, including younger employees, employees on fixed-term contracts, and employees who take parental leave.

The first step of the analysis identifies the wage policy models adopted by a sample of large Italian companies by means of a cluster analysis based on firm-level variables that describe the wage level, wage structure, and wage dynamics. The second step estimates the impact of the employer’s wage policy on the wage growth path of matched employees, paying particular attention to groups of vulnerable workers.

The cluster analysis identifies four clusters whose characteristics reflect ideal types suggested by the literature. The 2SLS wage regressions that examine the impact of the employer’s wage policy model on a matched employee’s wage five years later confirm that the initial employer’s wage policy is a significant determinant of wage dynamics. However, the observed patterns significantly differ between the whole sample and the examined groups of vulnerable employees.

Despite consistent evidence of negative labour market outcomes for vulnerable employees, the impact of firm characteristics on segregation into disadvantaged groups is still under-researched. This paper provides new evidence of how the employer’s wage policy impacts the wage growth path of disadvantaged employees and highlights critical dimensions to reduce the risk of segregation into less favourable segments of the labour market.

I use data from employers and longitudinal data from former/current recipients covering the period 1997 to early 2004 to analyze the relationship between job skills, job changes, and the evolution of wages. I analyze the effects of job skill requirements on starting wages, on-the-job training opportunities, wage growth prospects, and job turnover. The results show that jobs of different skill requirements differ in their prospects for earnings growth, independent of the workers who fill these jobs. Furthermore, these differences in wage growth opportunities across jobs are important determinants of workers’ quit propensities (explicitly controlling for unobserved worker heterogeneity). The determinants and consequences of job dynamics are investigated. The results using a multiplicity of methods, including the estimation of a multinomial endogenous switching model of wage growth, show that job changes, continuity of work involvement, and the use of cognitive skills are all critical components of the content of work experience that leads to upward mobility. The results underscore the sensitivity of recipients’ job transition patterns to changes in labor market demand conditions.