Project management infrastructure: The key to operational performance improvement

Process improvement programs such as Six Sigma, Lean, and Lean Sigma are very important and deserve serious academic research attention. However, definition problems make it difficult to study any specific type of process improvement program. Therefore, this study defines two organizational level program management factors, Strategic Project Selection (SPS) and Project Management Infrastructure (PMI), that are independent of any specific process improvement program. Drawing upon current literature, this study develops and tests theoretical models that relate SPS and PMI to operational performance improvement and to each other. Using empirical data collected from 53 supplier plants of one large high-tech firm, this study finds that at the plant level, SPS mediates the relationship between PMI and operational performance improvement. This insight contributes to both theory development and practice, suggesting that a viable strategy for a process improvement program’s success is to focus on PMI in order to enhance SPS and ultimately improve performance. Not to be reproduced or quoted without written permission from the authors.     

Are Reports of Discrimination Valid? Considering the Moral Hazard Effect

A bstract .   Antidiscrimination laws are designed to prompt employers to stop excluding black workers from jobs they offer and from treating them unequally with respect to promotion and salaries once on the job. However, a moral hazard effect can arise if the existence of the laws leads black employees to bring unjustified claims of discrimination against employers. It has been argued that employers may become more reluctant to hire black workers for fear of being subjected to frivolous lawsuits.
Using the Multi-City Study of Urban Inequality (MCSUI), we find that male and female black workers are far more likely than whites to report racial discrimination at work. This is the case even when a host of human capital and labor market factors are controlled for. Further, nearly all black workers who report they have been discriminated against on the job in the MCSUI Surveys also show statistical evidence of wage discrimination. This is not the case for white males or females. We find little evidence to support a moral hazard effect.     

Data driven rank test for the change point problem

Data driven test procedure for detection of change is introduced and its properties are studied. The new solution is max-type statistic related to data-driven rank tests for two-sample subproblems. Simulations show that the new test possesses high and stable power. The test is consistent at essentially any alternative. Asymptotic null distribution of the test is derived. The work of the first two authors has been partially supported by the grants GAČR 201/06/0186 and MSM 02160839.     

Key Sectors,Industrial Clustering and Multivariate Outliers

In this paper a reflection is made on the problems that can arise in key sector analysis and industrial clustering, due to the usual presence of outliers when using multidimensional data related to the sectors in an input–output table. Multidimensional outliers are considered as being not only linked to the low number of clusters usually observed in this kind of study, but probably causing invalid results in most of the works involving multivariate statistical techniques, such as cluster and factor analysis. Actually, by comparing the key sectors of the Spanish economy obtained in Díaz et al. (2006) Díaz, B., Moniche, L. and Morillas, A. 2006. A fuzzy clustering approach to the key sectors of the Spanish economy. Economic Systems Research, 18: 299–318. [Taylor & Francis Online] [Google Scholar] to the ones we get taking into account the problem the outliers pose, one can realize they greatly distort the results. On the other hand, it is shown that identification of outliers can be considered as a good and new procedure to help select the most important sectors in an economy.     

The joint influence of technology uncertainty and interorganizational interaction on external technology integration success

This paper empirically examines the acquisition of a technology from a source outside the firm and its incorporation into a new or existing operational process. We refer to this key activity in process innovation as external technology integration. This paper develops a conceptual framework of external technology integration based on organizational information processing theory and technology management literature. The primary hypothesis underlying the conceptual framework is that external technology integration will be most successful when the level of interaction between the source of the technology and recipient of the technology is appropriately matched, or fit, to the characteristics of the technology to be integrated. The conceptual framework also develops other hypotheses relating to contextual factors that may also influence the success of external technology integration. A cross-sectional survey methodology is employed to test the four hypotheses of the conceptual framework, with the results indicating strong support for the fit hypothesis and general support for the contextual hypotheses. The paper closes with a discussion of the implications of this study for both theory and practice.     

The implementation of monetary policy in New Zealand: What factors affect the 90-day bank bill rate?

This paper discusses the implementation of monetary policy in New Zealand and its flow-on effects on the 90-day bank bill rate over the 1999–2005 period. The effects of external factors are considered as well. Our findings indicate that the maturity spectrum ratio exerted a positive effect on the 90-day bank bill rate while the allotment ratio did not. This interest rate had a tendency to revert to the level set by its Australian counterpart, though at a relatively slow speed. No such link exists between the NZ 90-day rate and the U.S. 90-day rate. Neither the maturity spectrum nor the allotment ratio contributed to the volatility of the most important short-term interest rate in New Zealand.     

Franchisee leadership traits vs. manager leadership traits an exploratory study comparing hope, leadership, commitment and service quality delivery

In order to add to the understanding of the role of franchising in entrepreneurship and to help franchise systems improve efficiency, the constructs of organizational leadership, hope, organizational commitment, and service quality perceptions of franchised managers and franchisees are differentiated in the current study. For scholars and practitioners, the dynamic relationship between entrepreneurship, franchisees, and management is an important triangle which merits further investigation. While the results offered only that managers and franchisees differed statistically in service empathy, differences were noted across all areas which approached significance but was limited due to the small sample size. Implications for future research are discussed.     

Assessing supply chain risks with the analytic hierarchy process: Providing decision support for the offshoring decision by a US manufacturing company

This paper reports the process used by a US manufacturing company to assess supply chain risks within the context of an offshore sourcing decision. The case study company was faced with the objective of finding a new supplier for two of its major product lines. Five alternatives were considered: (1) sourcing finished goods from Mexico; (2) sourcing finished goods from China; (3) sourcing parts from China and assembly in the US; (4) sourcing parts from China, assembly in a Maquiladora in Mexico with investment; and (5) sourcing parts from China, assembly in a Maquiladora in Mexico with no investment in the venture. To find the best solution, action research methodology was combined with the application of the analytic hierarchy process (AHP). Through iterative and structured discussions, 17 risk factors were identified, which were subsequently grouped into main and sub objectives. AHP was then used to evaluate the importance of each risk factor, and to determine the best alternative. This study makes several contributions to the field of purchasing and supply management. First, it provides a comprehensive framework of empirically derived risk factors to be considered in an international sourcing context. Second, it shows how AHP can be used to assess these risk factors and alternatives as part of the framework to facilitate and support the final offshoring decision. And third, it illustrates the successful application of the approach by a US manufacturing company. As such, this paper contributes to the research streams of offshoring and risk management in purchasing and supply, as well as to decision-making under uncertainty and AHP. In addition, it serves as a practical methodology for firms in similar situations.     

Propensity to firm creation: empirical research using structural equations

The identification of the entrepreneurs’ characteristics and the knowledge of the entrepreneurial profile of university students have been assuming a growing importance in the development of educational programs directed towards the entrepreneurship and start-up processes. This study aims to identify the factors that most contribute for the intention to start up a business. The research also tries to identify the profile of a potential entrepreneur student concerning several characteristics: personal attributes, family, demographic variables and motivations. Research findings include the idea that entrepreneurship education is the most relevant factor in what concerns the propensity to business creation. On the other side, personal characteristics have an important role in shaping motivation to start-up a business and perceived hurdles have a negative impact in the intention to start-up. The results may be relevant when developing an adequate educational program directed to the entrepreneurship education and start-up processes.