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Current financial accounting and reporting systems provide too little information on the kinds of intellectual assets that would appear to be important in a knowledge economy. But there has been little progress in changing financial information, or improving non‐financial information. Government could play a role in guiding reporting of new information that would allow investors to make better informed decisions.

This bibliography is offered as a practical guide to published papers, conference proceedings papers and theses/dissertations on the finite element (FE) and boundary element (BE) applications in different fields of biomechanics between 1976 and 1991. The aim of this paper is to help the users of FE and BE techniques to get better value from a large collection of papers on the subjects. Categories in biomechanics included in this survey are: orthopaedic mechanics, dental mechanics, cardiovascular mechanics, soft tissue mechanics, biological flow, impact injury, and other fields of applications. More than 900 references are listed.

This paper aims to investigate the relationship between information literacy and critical thinking. Specifically, the connection between the elements of critical thinking as expressed in one university’s Quality Enhancement Plan (QEP) and the advancing learning transforming scholarship (ACRL) Information Literacy Competency Standards (ACRL IL Standards). Concrete examples of how librarians support information literacy and critical thinking were examined.

Following a literature review, the ACRL IL Standards were mapped to the elements of a university’s QEP (critical thinking + core values = decision-making). A wiki was then created to illicit specific examples from librarians regarding how they incorporate the elements of critical thinking in their reference/instruction work.

Considerable correspondence was found between the ACRL IL Standards and the elements of critical thinking in the QEP, but this varied with the specific standard and the specific QEP component. Wiki results revealed that librarians used many concrete activities that supported QEP critical-thinking elements.

In this study, mapping the ACRL IL Standards to QEP components was subjective, performed by only one individual. Future research, perhaps involving the forthcoming ACRL IL Standards, might be better carried out by a larger group, thereby enhancing objectivity.

The literature review showed a lack of specificity in how critical thinking is defined and integrated into library reference/instruction work. The present study compared eight specific elements of critical thinking to the ACRL IL Standards and found 108 concrete examples of their application.

The purpose of this paper is to investigate the impact of investor confidence on mutual fund performance in two relatively vulnerable but leading emerging markets, India and Pakistan.

A pooled ordinary least squared (OLS) model is used to look at two alternative measures of investor confidence and test for the relationship between investor confidence and mutual fund returns. To check the robustness of the findings, the authors also implement two-stage least squares and generalized method of moments techniques to control for unobserved heterogeneity, simultaneity and dynamic endogeneity problems in the regressors.

The paper finds that the returns of mutual funds are positively associated with investor confidence and an interaction effect exists between investor confidence and persistence in performance. The paper also confirms that returns from mutual funds are associated with different fund characteristics such as fund size, turnover, expense, liquidity, performance persistence and the fund’s age. These findings remain robust to alternative model specifications and measures of investor confidence.

While the previous literature mainly focuses on mutual fund characteristics and the macroeconomic determinants of mutual fund returns, this paper demonstrates that investor confidence plays an important role in determining mutual fund performance. The authors attribute this finding to two relatively unique features of the emerging markets in the study. A lack of awareness of mutual funds as being a low-cost investment vehicle and the interplay of cultural and behavioral changes have prevented investor’s savings from being channeled into investment products, away from gold or property.

The purpose of this paper is to look at how phenomenology can be used to explore the meaning and experience of organizational life. It argues that phenomenology provides more than just themes or leitmotifs for post hoc analysis of narrative data; in its basic formulation, phenomenology is a way of thinking – a method – which illuminates the embodied, subjective and inter-subjective qualities of the life-world.

The paper follows Husserl's command to “go back to the things themselves” to access raw experience, asking ourselves, “what does experience mean phenomenologically?” We draw on the work of Merleau-Ponty to “flesh out” the embodied aspects of that phenomenological experience, outlining how the idea of a “field of presence” grounds our reflections in the here-and-now and gives our selfhood its coherence.

The paper presents data on the diverse meanings of “experience” to suggest that phenomenological and organizational understandings can be differentiated in terms of both temporality and selfhood. The paper argues that these differentiations expose different ways of thinking about the world more generally, drawing on Husserl's philosophy of the “natural attitude” to propose that one of its derivations, an “organizational attitude”, is obscuring our view of embodied experience.

The paper provides practical guidelines for those interested in researching the embodied, experiential qualities of organizational life. These emphasize the need to suspend the “organizational attitude”, modify how the authors position and explain the research, and attend to the interplay between the felt sense of the world and the words used to articulate it.

The logic of the body helps the authors to work towards a more integrative, conciliatory epistemological position for qualitative organizational research. The paper uses a phenomenological view of embodiment – as both subjectively experienced and objectively presented to the world – to suggest that the body, particularly when it is sick, is giving us clues for how to conceptualize the life-world of work.

Monitoring of a process leading to the detection of faults and determination of the root causes are essential for the production of consistent good quality end products with improved yield. The history of process monitoring fault detection (PMFD) strategies can be traced back to 1930s. Thereafter various tools, techniques and approaches were developed along with their application in diversified fields. The purpose of this paper is to make a review to categorize, describe and compare the various PMFD strategies.

Taxonomy was developed to categorize PMFD strategies. The basis for the categorization was the type of techniques being employed for devising the PMFD strategies. Further, PMFD strategies were discussed in detail along with emphasis on the areas of applications. Comparative evaluations of the PMFD strategies based on some commonly identified issues were also carried out. A general framework common to all the PMFD has been presented. And lastly a discussion into future scope of research was carried out.

The techniques employed for PMFD are primarily of three types, namely data driven techniques such as statistical model based and artificial intelligent based techniques, priori knowledge based techniques, and hybrid models, with a huge dominance of the first type. The factors that should be considered in developing a PMFD strategy are ease in development, diagnostic ability, fault detection speed, robustness to noise, generalization capability, and handling of nonlinearity. The review reveals that there is no single strategy that can address all aspects related to process monitoring and fault detection efficiently and there is a need to mesh the different techniques from various PMFD strategies to devise a more efficient PMFD strategy.

The review documents the existing strategies for PMFD with an emphasis on finding out the nature of the strategies, data requirements, model building steps, applicability and scope for amalgamation. The review helps future researchers and practitioners to choose appropriate techniques for PMFD studies for a given situation. Further, future researchers will get a comprehensive but precise report on PMFD strategies available in the literature to date.

The review starts with identifying key indicators of PMFD for review and taxonomy was proposed. An analysis was conducted to identify the pattern of published articles on PMFD followed by evolution of PMFD strategies. Finally, a general framework is given for PMFD strategies for future researchers and practitioners.

This article sets out to answer two interrelated questions: is it advisable for developing countries to use public procurement efforts for development, and should more developing countries join the World Trade Organization (WTO) Government Procurement Agreement (GPA)? We survey key arguments for and against joining the GPA, and argue that government procurement should not be seen only as an indirect support measure for development, but also as a direct vehicle for promoting innovation and industries and, thus, growth and development. We also show that using public procurement for development assumes high levels of policy capacity, which most developing countries lack. In addition, we show how the GPA as well as other WTO agreements make it complicated for the developing countries to benefit from public procurement for innovation. The article suggests that the developing countries could apply a mix of direct and indirect (so-called soft) public-procurement-for-innovation measures. In order to do this, developing countries need to develop the policy capacity to take advantage of the complex and multi-layered industrial policy space still available under WTO rules.

Explains that information technology (IT) applications, especially as reinforcer of competitive advantage, has received prodigious attention. Despite a generous coverage of information systems (IS) concepts, there is still a clear communication gap between line managers and IS managers that is harming the gain of strategic advantage. The lack of understanding between line managers and information specialists can create serious conflicts in interpreting corporate goals and strategic objectives. Presents an easy and user‐friendly organization of fundamental IS concepts in order to promote a higher level of communication between the two groups and produce a finer alignment of IT strategy and overall corporate strategy.

The increasing competitiveness in the business sector forces facilities managers in reducing expenditure on “non‐core” activities. Consequently, the integration of different domains related to facilities management (FM) motivates the development of a quantitative model, which may contribute both to the planning of FM activities and to the improved effectiveness of FM units. Three methodologies were used in the research presented in this paper: a structured FM survey conducted among acute care facilities in Israel; a statistical analysis of the data; and the conceptual development of an FM model. The proposed model is divided into three main phases that deal with the following five main FM domains. The outcomes of the model produce a set of variables, which can be analysed according to a given facility. In addition, the model provides guidelines for the methodological design and management of healthcare facilities from a life‐cycle perspective.

The compressive strength of concrete depends on many interdependent parameters; its exact prediction is not that simple because of complex processes involved in strength development. This study aims to predict the compressive strength of normal concrete and high-performance concrete using four datasets.

In this paper, five established individual Machine Learning (ML) regression models have been compared: Decision Regression Tree, Random Forest Regression, Lasso Regression, Ridge Regression and Multiple-Linear regression. Four datasets were studied, two of which are previous research datasets, and two datasets are from the sophisticated lab using five established individual ML regression models.

The five statistical indicators like coefficient of determination (R²), mean absolute error, root mean squared error, Nash–Sutcliffe efficiency and mean absolute percentage error have been used to compare the performance of the models. The models are further compared using statistical indicators with previous studies. Lastly, to understand the variable effect of the predictor, the sensitivity and parametric analysis were carried out to find the performance of the variable.

The findings of this paper will allow readers to understand the factors involved in identifying the machine learning models and concrete datasets. In so doing, we hope that this research advances the toolset needed to predict compressive strength.