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Standard quality is very highly important parameter in the education sector. Accreditation is a process where standard quality of education is given and the process of continuous improvement is defined. Emphasizing quality of student education is achieved through outcome-based education system (OBE). Program outcomes signify the comprehension, skills and attitude the students should have at the end of the program. At the end of each course, course outcomes signify the knowledge acquired by the students. Course outcomes assessment is one of the key aspects of the OBE model. In this research, the following four factors: subject quality, number of times subject handled by faculty members, faculty experience and student quality with different weightage, are used for analysis of the target setting for individual courses, used for higher education accreditation. This new approach for target setting will improve the teaching and learning process.

Four factors: subject quality, number of times subject handled by faculty members, faculty experience and student quality with different weightage, are used for analysis of the target setting for individual courses, used for higher education accreditation.

Using proposed approach, higher targets can be achieved in teaching and learning.

New approach for target setting will improve the teaching and learning process.

Proposed approach for target setting will improve the teaching and learning process; it should be implemented across all engineering colleges or universities.

All engineering colleges will have impact on teaching and learning process.

The following four factors: subject quality, number of times subject handled by faculty members, faculty experience and student quality with different weightage, are used for analysis of the target setting for individual courses, used for higher education accreditation.

Few information technology trends have received more attention from the industry than electronic (e‐) commerce – and considering the industry’s predisposition to hyperbole, that is saying a lot. This paper discusses the diffusion of e‐commerce in three wave‐migration phases from current computer communications. From an ontological perspective at the meta level, this paper explains why e‐commerce may have a greater impact on exchanging information and optimizing existing business processes than on generating funds flow. In evaluating the nature of e‐commerce applications, it is proposed that e‐commerce will replace the traditional inventory‐based model with an information‐based model and the basis of competition will shift from companies with strong distribution systems to those with strong information systems. This might help explain the predictions of triple‐digit e‐commerce market growth and stock valuations of Internet companies that defy fundamentals.

To provide a sound discussion on the Six Sigma methodology and see how it fits in with other quality initiatives.

A conceptual paper that takes at in‐depth look at the origins, pros and cons of Six Sigma and how it relates to some of the other quality initiatives in industry.

The immediate goal of Six Sigma is defect reduction. Reduced defects lead to yield improvement; higher yields improve customer satisfaction. Six Sigma defect reduction is intended to lead to cost reduction. It has a process focus and aims to highlight process improvement opportunities through systematic measurement. Six Sigma implementation can have negative consequences if applied in the wrong project. Six Sigma is a toolset, not a management system and is best used in conjunction with other more comprehensive quality standards such as the Baldrige Criteria for Performance Excellence or the European Quality Award.

This is a conceptual study and hence there are no hypotheses tested as in an empirical study. It does provide a good foundation for future research.

A very useful source of information and impartial advice for practitioners and researchers planning to practice the Six Sigma methodology and/or understand its pros and cons.

This paper fulfils an identified information/resources need for Six Sigma methodology. It is based on utilizing an extensive set of statistical and advanced mathematical tools, and a well‐defined methodology that produces significant results quickly. The success of this methodology within an organization has significant momentum that can only lead to fundamental organizational cultural transformation.

To investigate the linkage between organization performance criteria and the dimensions of agility, e‐supply‐chain drivers and knowledge management.

The analytic network process is applied as the research methodology in the context of executive decisions that include qualitative and quantitative attributes. The decision model is presented, along with a case study with an e‐supply chain of a global telecommunications company.

The study develops a framework for measuring the relative importance of a particular dimension based on the application of theoretical concepts from the information systems and management science literature to the digital, knowledge economy. Since contextual factors play a critical role in the design of effective knowledge‐management (KM) systems, technical and process solutions need to be customized to fit the organization performance criteria, dimensions of agility and supply chain drivers.

The model presented is dependent on the perceptual weightings provided by the decision‐maker and the generalizability of findings based on our model to other organizations may be limited.

This paper addresses the need for a strategic decision‐making tool to assist management in determining which knowledge management construct is most beneficial in the development of an agile supply chain.

This paper fulfils an identified information need and offers practical help in a dynamic and competitive environment by providing a decision model that assists in determining which construct of KM is most important based on an organization's performance criteria, dimensions of agility and supply‐chain drivers.

Questioning gender is about taking an active, critical role in the technological design of our daily behaviour. It is a deconstruction of the oppositions that exist in the discourses of Ambient Intelligence designers, the ICT industry and computer scientists. What underlies the assumption that Ambient Intelligence will, by disappearing into our environment, bring humans both an easy and entertaining life? The gender perspective can uncover power relations within the promotion and realisation of Ambient Intelligence that satisfy an obvious wish for a technological heaven. The deconstruction of the promise of progress and a better life reveals what is overvalued, what is undervalued and what is ignored. This paper is a deconstruction of the view, currently prevalent in the discourses of Ambient Intelligence; a view of humans and the way they live. A view that will influence the way women and men will be allowed to construct their lives.

This paper aims to describe the application of several Six Sigma tools to explain the improvement changes needed in a company that manufactures concrete blocks. The paper explains the methodology and the tools of the Six Sigma system, their use in the project, the application of the DMAIC (Define, Measure, Analyse, Improve and Control) process for the identification and definition of the problems, the related performance variables and the results obtained.

The paper reports the research made to improve the production of concrete blocks, specifically, the application of the DMAIC process, which is part of the Six Sigma methodologies; DMAIC stands for Definition of the problem, Measurement of the performance, Analysis using specific statistical methods and tools, Improvement the factors that cause the problem and Control the processes to ensure that the problem will not occur again. Each of those steps is explained in detail in the paper, which also presents the application of other improvement techniques.

The results show the adaptability and relevance of Six Sigma for the improvement of production operations. It is clearly demonstrated that it leads to benefits such as the elimination of machine downtime, reduction of scrap from 18 to 2 per cent and the improvements made in plant layout and production facilities to increase the productivity.

In improvement projects, the differential between the initial and final conditions varies, depending on the magnitude of the problems or potential opportunities. Although this paper describes only the application of Six Sigma, the methodology has a wide potential application in most manufacturing industries.

With the Six Sigma and DMAIC tools’ application and the improvement process, the agility obtained is driving a more mechanized perspective of production operations. The customer service level was increased, through fast deliveries of complete orders. This project shows that the application of the Six Sigma methodology is feasible and produces attractive financial and operational results in this segment of the construction industry.

The companies dedicated to the production of concrete blocks commonly reproduce the systems and standards of the industry, which are commonly designed around civil engineering and technical issues. Thus, the application of improvement tools is exceptional in manufacturing environments. Although this paper is just one application of the methodology, it explains in detail the DMAIC use for companies that are committed to the development of new competencies to increase their competitiveness.

The purpose of this paper is to examine and compare the influence of age, education, income, product involvement and sales promotion (SP) characteristics on consumer attitudes towards SP across eight culturally dissimilar environments.

A multi-country mall intercept and mail survey was conducted in Brunei, China, Hong Kong, Indonesia, Malaysia, New Zealand, Singapore and Thailand (n=4,125 respondents).

Country, education level and income significantly influence consumer attitudes towards SP. Some countries show a significant monetary value interaction effect. Consumers using delayed-reward SPT reported a significantly more positive attitude towards SP. Discounts and coupons are the two most highly ranked SP across the sampled countries.

Limitations include the use of intercept and mail sampling. Extending the study to include additional Asian countries and other regions would benefit the understanding of cultural influences on SP.

Multinational marketing managers should consider three aspects of SP implementation strategy: cultural and demographic factors, interaction between delayed-reward SP and socio-demographics variables; country specific SP preferences to promote both sales and brand equity.

This study investigates and extends research on SP across cultures. In particular the research helps better understand the impact of demographic factors and culture on attitudes towards SP, and implementation of global promotions.

This study aims to review the existing methods for additive manufacturing (AM) process selection and evaluate their suitability for design for additive manufacturing (DfAM). AM has experienced a rapid development in recent years. New technologies, machines and service bureaus are being brought into the market at an exciting rate. While user’s choices are in abundance, finding the right choice can be a non-trivial task.

AM process selection methods are reviewed based on decision theory. The authors also examine how the user’s preferences and AM process performances are considered and approximated into mathematical models. The pros and cons and the limitations of these methods are discussed, and a new approach has been proposed to support the iterating process of DfAM.

All current studies follow a sequential decision process and focus on an “a priori” articulation of preferences approach. This kind of method has limitations for the user in the early design stage to implement the DfAM process. An “a posteriori” articulation of preferences approach is proposed to support DfAM and an iterative design process.

This paper reviews AM process selection methods in a new perspective. The users need to be aware of the underlying assumptions in these methods. The limitations of these methods for DfAM are discussed, and a new approach for AM process selection is proposed.

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.