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The retention and success of engineering undergraduates are increasing concern for higher-education institutions. The study of success determinants are initial steps in any remedial initiative targeted to enhance student success and prevent any immature withdrawals. This study provides a comprehensive approach toward the prediction of student academic performance through the lens of the knowledge, attitudes and behavioral skills (KAB) model. The purpose of this paper is to aim to improve the modeling accuracy of students’ performance by introducing two methodologies based on variable selection and dimensionality reduction.

The performance of the proposed methodologies was evaluated using a real data set of ten critical-to-success factors on both attitude and skill-related behaviors of 320 first-year students. The study used two models. In the first model, exploratory factor analysis is used. The second model uses regression model selection. Ridge regression is used as a second step in each model. The efficiency of each model is discussed in the Results section of this paper.

The two methods were powerful in providing small mean-squared errors and hence, in improving the prediction of student performance. The results show that the quality of both methods is sensitive to the size of the reduced model and to the magnitude of the penalization parameter.

First, the survey could have been conducted in two parts; students needed more time than expected to complete it. Second, if the study is to be carried out for second-year students, grades of general engineering courses can be included in the model for better estimation of students’ grade point averages. Third, the study only applies to first-year and second-year students because factors covered are those that are essential for students’ survival through the first few years of study.

The study proposes that vulnerable students could be identified as early as possible in the academic year. These students could be encouraged to engage more in their learning process. Carrying out such measurement at the beginning of the college year can provide professional and college administration with valuable insight on students perception of their own skills and attitudes toward engineering.

This study employs the KAB model as a comprehensive approach to the study of success predictors. The implementation of two new methodologies to improve the prediction accuracy of student success.

Competitive success is increasingly linked to implementing change in a co‐ordinated manner within the organization and in the extended value network that embeds the organization. In particular, for manufacturers the successful implementation of advanced manufacturing technologies (AMT) can be linked to collaborative buyer‐supplier relationships. Derives a model from the literature to link these aspects. Tests empirically major propositions from this model using data from 83 firms positioned at the top of the Turkish automotive industry supply chain. Establishes that companies with higher levels of AMT implementation collaborative more with their parts suppliers and companies are more successful in achieving their AMT implementation objectives if increased AMT implementation is coupled with more collaborate supplier relationships. Both AMT implementation levels and buyer‐supplier collaboration are shown to have significantly increased over a five‐year period. While AMT implementation levels of individual firms appear to have diverged, levels of buyer‐supplier collaboration appear to have converged during the five years.

This paper aims to clarify emerging aspects and trends of Six Sigma literature over 17 years, from 1992 to 2008.

The literature on Six Sigma from 417 referred journal articles in business and management disciplines, information systems and computer science, engineering, healthcare, etc. were systematically analyzed based on a scheme that consists of four distinct dimensions: publication year and journal, major themes, research type, and application sector (i.e. manufacturing vs service).

A number of key findings emerged: Six Sigma research is growing rapidly, covering various disciplines and domains with a great focus on Six Sigma tools and techniques; empirical research is dominant with more emphasis on case study approach; and the growing gap between manufacturing‐ and service‐focused articles implies the return of Six Sigma to manufacturing as its initial base. Although a large volume of literature is available on Six Sigma, the topic is still under development and offers potential opportunities for further research and applications.

The paper provides both academics and practitioners with a useful framework for pursuing rigorous Six Sigma research through explaining the chronological growth of Six Sigma, challenging themes of Six Sigma research, dominating research types and application areas in Six Sigma, and the major sources of Six Sigma information.

The purpose of this paper is to share the experiences and perspectives of three practitioners from two continents on the subject of Lean Six Sigma (LSS) from both academic and industrial viewpoints. The authors of the paper have each been working on the topic of LSS over the past 15 years and have contributed over 150 journal and conference papers to the topics of lean and Six Sigma.

The approach is to synthesize the practical experiences and research conducted by three authorities on the topic of LSS. In addition, relevant secondary data have also been used in the sections where and when appropriate.

The authors initially present the history of LSS emphasizing the importance of integration of the two most effective process excellence methodologies over the past 30 years. The authors also report the current trends of LSS in organizations as well as the emerging future trends. They argue that LSS will continue to grow and evolve across the globe for several years.

The paper is intended to be equally useful to both academics and practitioners who are interested on the topic of LSS. From a pure practical standpoint, the paper provides an overview of the past, present and future trends of LSS as a powerful business strategy and problem-solving methodology for all industrial sectors, irrespective of their size and nature. The documentation of the history and recent developments in LSS should be useful to researchers in academia.

In authors’ best knowledge, there are no recent journal articles which cover all the three of these aspects; the past, the present and the future of LSS. This paper presents the above three aspects in a unique manner and addresses the gap between the current state and future directions of LSS.

The purpose of this paper is to gain a better understanding of the challenges academics face today in developing a knowledge-based economy. In response to these challenges, the authors developed a collaborative approach to enhancing the learning experience for engineering management (or industrial engineering) capstone design courses. The core of this approach is the problem-based learning through the execution of Lean Six Sigma (LSS) projects implemented via university–industry partnerships. The ultimate goal of this approach is to facilitate the integration and application of theoretical knowledge while promoting the development of professional skills in undergraduate students as demanded by business organizations.

The framework is firmly grounded in theory and methods from project management and quality management, and LSS literature and was tested in an engineering and management capstone design course at the author’s university. The case study presented here offers a detailed analysis of the design and implementation of the proposed framework. The authors also present the results of a survey conducted to assess the extent to which the proposed approach contributes to bridging the gap between theory and practice.

Results from the pilot implementation and survey results revealed that students who took the enhanced LSS capstone course felt that their projects helped them gain a better understanding on how to apply the theory to practical situations while preparing them to approach and solve problems in real-world settings confidentially. The authors also found that the LSS green belt certification helped recent graduates to transition to the workforce more easily, gain more credibility among coworkers and supervisors and make contributions quicker than other new hires, get the job they wanted faster and overall advance in their careers.

The framework is a composition of best practices used in a variety of universities and industries. While the majority of the LSS university-based programs are typically offered at the graduate level and with limited (support for) project executions, the framework proposed here provides the infrastructure for solid company staff-student team collaborations on projects executed from inception to implementation.

The purpose of this paper is to assess Lean Six Sigma to identify important advances over the last ten to 15 years and discuss emerging trends that suggest how the methodology needs to evolve. The goal is to aid those who want to use the method to improve performance as well as assist those developing improvement methodologies.

The use and development of Lean Six Sigma is reviewed including the origins of the method, the what, why and benefits of the method, how the approach is different, the integration of Lean and Six Sigma, implementation mistakes made, lessons learned and developments needed in the future.

It is found that organizations have many different improvement needs that require the objectives and methods contained in the lean and Six Sigma methodologies. It is also found that deployment and sustaining improvements are major issues that can be overcome by building a sustaining infrastructure and making improvement a business process. Critical issues include using Lean Six Sigma to generate cash in difficult economic times, development of data‐based process management systems and the use of working on improvement as a leadership development tool.

These findings suggest that improvement is most effective when approached in an holistic manner addressing improvement in all parts of the organization using a holistic improvement methodology such as Lean Six Sigma. Improvement must address the flow of information and materials thorough processes as well as the enhancement of value‐adding process steps that create the product for the customer. This leads naturally to making improvement a business process that is planned for, operated and reviewed as any other important business process is.

The roadmaps, guiding principles, and deployment pitfalls identified will be of value to those initiating and operating improvement processes in their organizations enabling them to rapidly create useful and sustainable improvements. The discussion of needed enhancements will be of value to those who are working to improve the effectiveness of the approach.

Evaluates an identification strategy, based on ridge regression, for mutliple‐input models. The corresponding computer algorithm was implemented on a VAX–8800 computer at the Computing Centre at A˚bo Akademi. The evaluation of the ridge‐regression method was carried out by simulations of different transfer‐function noise model structures. The models are essentially the same as those of Edlund, but a far greater number of replications, 1,000, is used in each of the 21 cases tested. Furthermore, uses actually identified and estimated ARIMA models of the residuals in the identification procedure of impulse response weights, unlike Edlund, who used only theoretical noise models in filtering the input and output series. A short discussion of the underlying theory is presented in Part I. The procedures and results of the empirical testing will be published in Part II in Kybernetes, Vol. 22 No. 7, 1993.

Under the Patient Protection and Affordable Care Act (ACA), many low-income consumers have become eligible for government support to buy health insurance. Whether these consumers are able to take advantage of the support and to make sound decisions about purchasing health insurance likely depends on their knowledge and skills in navigating complex financial products. This ability is frequently referred to as “financial literacy.” We examined the level and distribution of consumers' financial literacy across income groups, using 2012 data collected in the RAND American Life Panel, an internet panel representative of the US population. Low financial literacy was particularly prevalent among individuals with incomes between 100% and 400% of the federal poverty level, many of whom will be eligible for health insurance subsidies. In this group, people who are young, less educated, female, and have less income were more likely to have low financial literacy. Our findings suggest the need for targeted policies to support vulnerable consumers in making good choices for themselves, possibly above and beyond the support measures already part of the ACA.