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This paper presents an integrated regulatory model to protect depositors in the event of a retail financial institution run or failure. In Australia, many of the factors included in this model are either not in existence, or if in existence have not been fully implemented. A review of regulatory arrangements for retail financial institutions in Australia is warranted in the light of these deficiencies.

Organisational resilience is a strategic resource within the contingencies of organising in Small and Micro businesses (SMEs). In this regard, the notion of resilient human capital in propelling a resilient organisation has come to dominate the contemporary discourse on the performance of SMEs. Drawing on human capital theory as a meta-theoretical lens, we examine the cumulative effect of managerial training on managers’ performance in the context of relatively underdeveloped institutions and markets. Employing a quantitative research methodology, data for our empirical inquiry comes from a survey of 506 Ghanaian SMEs operating in diverse sectors of the economy. Following SMEs being at the convergence point of resource constraint, we show why some firm managers are more likely to exhibit managerial resilience than those in other firms. Our data evidence suggests that targeted managerial training, in practice, has the potential to strengthen organisational resilience. Nevertheless, the content, efficiency and frequency of the training received, we argue, accounts for the differential performance of managers within the contingencies of everyday organising. We conclude by delineating some relevant implications of our study for the theory and practice of managerial resilience nurturing in organising.

The purpose of this paper is to complete fatigue analysis of welded joints considering both the crack initiation sites and crack coalescence, and to generate virtual welded specimens for computer simulation of fatigue life on a specimen-by-specimen basis; knowledge regarding the weld toe stress concentration factor (SCF) sequence is essential. In this study, attempts were made to analyze the sequence and to find a simple method to generate the sequence using computers.

Laser scanning technique was used to acquire the real three-dimensional weld toe geometry of welded specimens. The scanned geometry was digitally sectioned, and three-dimensional finite element (FE) models of the scanned specimens were constructed and the weld toe SCF sequence was calculated. The numbers in the sequence were analyzed using a simple autoregression model and the statistical properties of the sequence were acquired.

The autoregression analysis showed the value of a weld toe SCF is linearly related to its neighboring factor with a high correlation. When a factor value at a toe location is known, the neighboring factor can be simulated by a simple linear equation with a random residual. The weld toe factor sequence can thus be formed by repeatedly using the linear equation with a residual. The generated sequence exhibits close statistical properties to those of the real sequence obtained from FE results.

When the weld toe SCF sequence is known, it is possible to foresee potential crack locations and the subsequent crack coalescence. The results of the current study will be the foundation for the future work on fatigue analysis of welded joints considering the effects of crack initiation site and crack coalescence.

The weld toe SCF sequence was rarely discussed previously because of a lack of the available data. The current study is the first work to investigate the statistical properties of the sequence and found that a simple autoregression equation can be used to perform the analysis. This study is also the first work that successfully generates a weld toe SCF sequence, which can be used to simulate virtual welded specimens.

The implications of disabilities, whether already existing at the time of appointment or incurred during the working career, are examined at the macro‐organisational levels – productivity and human resources strategy. It is argued that the extent of physical disability of an individual may be quite independent of his/her contribution to the organisation. Consequently, a diagnostic model was developed which assesses an individual’s Total Productivity Capacity (TPC). The TPC index proposed is a multiplicative function of a disabled worker’s Productivity Potential (PP) at work, assessed by the direct supervisor, and individual Sickness Absence (SA) rate compared with the organisation’s average (SA\sb\(x)): TPC = [1 ‐ (SA\sb\(n) – SA\sb\(x))] x PP. A 2 x 2 matrix, measuring extent of physical handicap and TPC allows grouping of handicapped into four categories: mildly handicapped with low TPC scores, mildly handicapped with high TPC scores; highly handicapped with high TPC scores; highly handicapped with low TPC scores. The utility of this classification scheme is demonstrated through an exploratory study conducted at a production plant for military vehicles where 12 per cent (n= 310) of the workforce were medically defined as disabled. TPC indices were derived for each disabled employee, and for the different plants/shops. Comparison of average TPC scores with incidence of disabilities indicated the independence of these measures, partially validating the proposed diagnostic model. Implications for production planning and differential personnel policies appropriate for disabled employees within the categorisations suggested are elaborated upon.

Evaluates the applicability of ultrasonic sensors in a welding environment and reports on experimental measurements carried out with a sensory head containing ultrasonic transducers with different frequencies. Analyses the effects on the sensors of factors such as noise, temperature and shielding gas flow and concludes by suggesting appropriate protective measures for the sensors for them to operate effectively in a welding environment.

The purpose of this paper is to understand what sales management practices (SMPs) are being used by managers in the current market place, changes over time, insights that can be gained and future research needs.

Data for this paper were collected via a cross-sectional internet-based survey using a sampling frame provided by a professional sales publication. ANOVA was used to analyze 159 sales manager respondents.

Empirical results indicate that several differences are evident across the 68 SMPs items gathered, especially in terms of the size of the sales force and establish some data on using technology in sales management. However, in spite of significant changes in the sales environment, many SMPs have had limited change.

The limitations of this paper include a sample frame drawn from a single source and via the internet and, thus, may have excluded some possible respondents from participation and somewhat limit generalizability.

The results of this paper raise a number of important issues for sales managers to consider. First, which SMPs should they be using? Managers need to give serious thought as to which practices they choose to use. Second, why are so many of them not making more extensive use of sales force technology? Third, is it wise for sales managers to be relying on executive opinion as their most extensively used forecasting method or should they be emphasizing another approach? A fourth issue is the continued heavy emphasis on generating sales volume as opposed to profits.

The data provide a rare and updated understanding of the use of SMPs by sales managers.

Al‐Qaeda poses a major challenge to western democracies with its international networks and suicide attacks; it has been involved in some of the most horrific terrorist attacks across the world. As a result the UK, similar to many other countries, has enacted hard‐line counter‐terrorism legislation that has had an impact upon Muslim community relations with law enforcement agencies. This paper aims to examine the glorification offence under the Terrorism Act and its implications for free speech.

The paper is designed to examine counter‐terrorism legislation in Britain and in particular the offence of glorification and the impact it has had upon Muslim communities using empirical case studies and theoretical evidence.

It is found that Muslim communities feel that their freedom of speech, thought and expression have been seriously curtailed as a result of the glorification offence and has led them to feel a sense of alienation and stigma which has manifested itself in the community by not trusting law enforcement agencies and counter‐terrorism policies.

In order to build trust with the Muslim community law enforcement agencies such as the police need to ensure that they do not disproportionately use their power of arrest under the guise of combating terrorism. Therefore, there is a need for law enforcement agencies to improve their internal and external structures through a process of engagement and understanding Muslim communities which would help rebuild trust and confidence.

The paper examines counter‐terrorism legislation and provides a theoretical framework for how policy should be shaped in the area of counter‐terrorism. Currently the literature available concerning the new government reforms and the glorification offence under the Terrorism Act is limited and thus this paper provides a unique contribution towards understanding this offence in more detail and the impact it may have upon Muslim communities and civil liberties.

While previous studies have highlighted the importance of incorporating environmental sustainability in building designs, there is a paucity of studies that assess the extent to which design teams in developing countries consider environmental sustainability at the building design stage. Therefore, using Zambia as a case study, this study examined the extent to which infrastructure design teams in a developing country consider environmental sustainability at the design stage.

The study used a qualitative research approach using structured interviews because there are hardly any studies which have explored the extent to which designers incorporate environmental sustainability in infrastructure designs in developing countries. The data is analysed thematically using the ATLAS.ti software.

The results show that environmental sustainability is not an important design consideration because it is secondary to functional, technical and aesthetic considerations. Environmental considerations are also made in an ad hoc manner and when it is cost-effective for the project. Regulatory requirements pertaining to environmental protection are adhered to without any cost considerations. It was, therefore, theorised that building design teams in developing countries make technical, functional and aesthetic consideration during the infrastructure design stage ahead of environmental considerations.

There is a paucity of studies that have investigated whether building infrastructure designers consider issues of environmental sustainability at the design stage in developing countries. The findings have practical implications on how developing countries can foster environmental sustainability at the design stage and avoid generating a building infrastructure stock that will require environmental resilience adaptation in the future.

The current gap between the required and available artificial intelligence (AI) professionals poses significant challenges for organisations and academia. Organisations are challenged to identify and secure the appropriate AI competencies. Simultaneously, academia is challenged to design, offer and quickly scale academic programmes in line with industry needs and train new generations of AI professionals. Therefore, identifying and structuring AI competencies is necessary to effectively overcome the AI competence shortage.

A probabilistic topic model was applied to explore the AI competence categories empirically. The authors analysed 1159 AI-related online job ads published on LinkedIn.

The authors identified five predominant competence categories: (1) Data Science, (2) AI Software Development, (3) AI Product Development and Management, (4) AI Client Servicing, and (5) AI Research. These five competence categories were summarised under the developed AI competence framework.

The AI competence framework contributes to clarifying and structuring the diverse AI landscape. These findings have the potential to aid various stakeholders involved in the process of training, recruiting and selecting AI professionals. They may guide organisations in constructing a complementary portfolio of AI competencies by helping users match the right competence requirements with an organisation's needs and business objectives. Similarly, they can support academia in designing academic programmes aligned with industry needs. Furthermore, while focusing on AI, this study contributes to the research stream of information technology (IT) competencies.