Optimising e-mail communication : the impact of seminar-and computer-based training

Employees continue to report multifarious e-mail concerns ('e-mail defects') including ambiguous unclear messages, e-mail overload, security and privacy issues, and e-mail interruptions. These defects have an effect on employee efficiency and effectiveness. This paper explores the importance of identifying e-mail defects and the effectiveness of training employees in efficient use of e-mail at four UK organisations, using Seminar-Based Training (SBT) and Computer-Based Training (CBT) delivery modes. The findings suggest that SBT has a diminishing impact over a very short period of time, but a combined approach of SBT and CBT is more effective and provides better results.

Email and knowledge creation: supporting inquiring systems and enhancing wisdom

The real promise of organizational communication technologies may lie in their potential to facilitate participative discourse between knowledge workers at all levels in distributed locations and time zones. Such discourse enables the exchange of sometimes conflicting viewpoints through which resolution and symbiosis, organizational knowledge can be built. This chapter presents a case study of a Singerian inquiring organization which illustrates how afluid dynamic community of employees can use email to build knowledge, learn, make decisions, and enhance wisdom through a cycle of knowledge combination (divergence) and knowledge qualification (convergence). The chapter offers new theoretical perspectives on the enhancement of wisdom in inquiring organizations and provides practical insights into the use of email for supporting effective knowledge creation in inquiring organizations.

Automatic inspection of metallic surface defects using genetic algorithms

This paper is concerned with the problem of automatic inspection of metallic surface using machine vision. An experimental system has been developed to take images of external metallic surfaces and an intelligent approach based on morphology and genetic algorithms is proposed to detect structural defects on bumpy metallic surfaces. The approach employs genetic algorithms to automatically learn morphology processing parameters such as structuring elements and defect segmentation threshold. This paper describes the detailed procedures which include encoding scheme, genetic operation and evaluation function.

The proposed method has been implemented and tested on a number of metallic surfaces. The results suggest that the method can provide an accurate identification to the defects and can be developed into a viable commercial visual inspection system.

Monitoring employees' email and internet use at work : balancing the interests of employers and employees.

The increased use of email and the internet in the workplace raises important legal questions for workers and employers. The purpose of this paper is to  explore some of the legal implications of use by employees of workplace email and internet systems, with particular focus on employer monitoring of the use of email and internet and its implications for employee privacy.

A benchmark study on housing defects in Victoria, Australia

The construction industry consists of many small businesses employing less than five people. A challenge to the construction industry is to ensure that the many small firms and sub-contractors keep producing quality housing to meet the needs of their customers and clients. In attempts to continually improve the quality of housing various policies and mechanisms have been adopted. These have included industry sponsored quality programs and industry administered builder registration. However, these attempts have failed because of consumer mistrust of industry-sponsored programs. In addition, these mechanisms have been introduced in isolation and not as a part of an integrated industry initiative that includes education and training from the trade to tertiary level construction management courses. This work contributes to knowledge through a detailed on-going study of housing quality and defects. This research identifies the common forms of defects, which occur in housing and their incidences. The overall aim of this paper is to report the identification of defects in housing and the establishment of benchmarks (or a baseline) for the incidence defects in various functional elements within a house. It also suggests the areas where defects are likely to occur. From the knowledge gained from the study, industry and governments may make informed decisions of where resources may be directed to the areas where it will be most beneficial both to the house builder and the end user (customer). For this to occur the findings of this research will be disseminated into the housing industry and eventually integrated into tertiary courses in building and construction
management.

Machine vision system for automatic inspection of surface defects in aluminum die casting

A camera based machine vision system for the automatic inspection of surface defects in aluminum die casting is presented. The system uses a hybrid image processing algorithm based on mathematic morphology to detect defects with different sizes and shapes. The defect inspection algorithm consists of two parts. One is a parameter learning algorithm, in which a genetic algorithm is used to extract optimal structuring element parameters, and segmentation and noise removal thresholds. The second part is a defect detection algorithm, in which the parameters obtained by a genetic algorithm are used for morphological operations. The machine vision system has been applied in an industrial setting to detect two types of casting defects: parts mix-up and any defects on the surface of castings. The system performs with a 99% or higher accuracy for both part mix-up and defect detection and is currently used in industry as part of normal production.

Seeding of single crystal superalloys--Role of seed melt-back on casting defects

Single crystal seeds of the nickel-base superalloy CMSX-4 have been partially melted in a temperature gradient and then quenched. Small islands of random orientation are observed throughout the melted-back semi-solid. These random orientations appear to be pinched-off secondary dendrite arms, but there is no evidence that they are transported ahead of the dendrite tips to nucleate stray grains during directional solidification.

Enhancing email text production for users with motor impairments

People with motor impairments who use a switch device to interface with computers have poor access to affordable software for email communication. The MultiMail email package was developed with government support to provide email access solutions for these users and for others with a range of disabilities. In this paper, the development of accessible on-screen keyboards and a word prediction program which facilitates email text production is discussed. Technology solutions were informed by people with disabilities through focus group and survey data. The resulting cross-disability design of MultiMail provides innovative and cost-free solutions to email text production.

Modelling of porosity defects in high pressure die casting with a neural network

High Pressure Die Casting (HPDC) is a complex process that results in casting defects if configured improperly. However, finding out the optimal configuration is a non-trivial task as eliminating one of the casting defects (for example, porosity) can result in occurrence of other casting defects. The industry generally tries to eliminate the defects by trial and error which is an expensive and error -prone process. This paper aims to improve current modelling and understanding of defects formation in HPDC machines. We have conducted conventional die casting tests with a neural network model of HPDC machine and compared the obtained results with the current understanding of formation of porosity. While most of our findings correspond well to established knowledge in the field, some of our findings are in conflict with the previous studies of die casting.

Knowledge development and creation in email

Newly created knowledge is increasingly viewed as a highly valuable source of competitive advantage for business. Email is explored in its recently recognized role as a place of organizational knowledge development and creation, employing discourse analysis of email conversations as the research approach. This paper describes a knowledge development lifecycle derived from the empirical study, and provides insight into the nature of knowledge development and creation in organizations. We found that in selected email conversations, employees naturally and intuitively build purpose driven new knowledge incrementally and iteratively, crystallizing knowledge under construction by submitting it repeatedly to a range of key stakeholders for comment, until a 'consensus' is reached regarding the outcome. Our findings identify the process of knowledge qualification in organizational knowledge creation, and suggest that organizational knowledge may be politically constructed. The research results have the potential to assist organizations in understanding and facilitating processes and conditions for knowledge creation and development. The study also highlights the potential for email as a key component in a company's formal KM strategy.