Search results

In this chapter, we utilize the residual concept of productivity measures defined in the context of normal-gamma stochastic frontier production model with heterogeneity to differentiate productivity and inefficiency measures. In particular, three alternative two-way random effects panel estimators of normal-gamma stochastic frontier model are proposed using simulated maximum likelihood estimation techniques. For the three alternative panel estimators, we use a generalized least squares procedure involving the estimation of variance components in the first stage and estimated variance–covariance matrix to transform the data. Empirical estimates indicate difference in the parameter coefficients of gamma distribution, production function, and heterogeneity function variables between pooled and the two alternative panel estimators. The difference between pooled and panel model suggests the need to account for spatial, temporal, and within residual variations as in Swamy–Arora estimator, and within residual variation in Amemiya estimator with panel framework. Finally, results from this study indicate that short- and long-run variations in financial exposure (solvency, liquidity, and efficiency) play an important role in explaining the variance of inefficiency and productivity.

This is the first in a series of three articles which evaluate the use of self‐managed learning (SML) in management development processes in health care settings. This first article, being more general, outlines SML′s philosophical origins, strategic design, and current practice. SML represents a strategic approach to individual and organizational learning, which offers a new synthesis of previous ideas and approaches. Its proven benefits relate to the way in which the process of learning is designed to mirror the process of managing. The second article focuses specifically on a regional NHS case study of the application of SML, while the third provides a complementary US case study in a health care provider organization, where SML has been adopted for a leadership development programme.

Most of the major Islamic countries’ stock exchanges have not been able to perform at the same pace with the major emerging countries’ stock exchanges since the mid of 1990s. The purpose of this paper is to examine the implications of stock market liberalization on cost of capital as one of the crucial driver to stock market development and physical investment growth in emerging Islamic countries.

This study employs static panel data techniques on the sample of seven emerging Islamic countries over the years 1989-2008.

The findings of this study suggest that stock market liberalization significantly reduces cost of capital in the stock markets of sample Islamic countries, which carries policy-oriented implications. Reduction in the cost of capital increases the number of exchange-traded companies, profitability of projects and aggregate investment level; therefore, the study findings are highly concerned by the economic policymakers, corporations and investors alike.

In the literature, different proxies are employed to measure stock market liberalization and cost of capital as well. Due to data limitations, this study could not employ different proxies for both, especially for stock market liberalization, for robustness purpose. That limitation further restricted the coverage of Islamic stock markets and time period. Therefore, generalization of the study results for overall Islamic stock markets can be slightly drawn.

The paper provides further understanding regarding the effects of SML on cost of capital, thereby indirectly on the stock market development, in the context of EIC.

The challenges we face in our organisations and our societies cannot be effectively addressed without wise, hearted, courageous leadership; leadership that is not focussed on a thirst for your own power, control and success. Leadership that is instead dispersed, moving to the person or persons best able to assist others in taking appropriate decisions and action.

As a practical example of how to nurture these forms of leadership, this chapter outlines the Self Managed Learning (SML) framework and describes how programmes might typically run. It explains the process by which leaders truly take responsibility for their own learning and commit to others to support them in theirs, developing both the leadership capability and social capital of the organisation(s) involved.

This chapter also illustrates how SML enables leaders to support and challenge one another to deal more effectively with the complex, fast-moving maelstrom of real opportunities and challenges of they and their teams face. It highlights how the creation of psychological safety allows leaders to develop the personal courage to be open and, therefore, vulnerable to explore their assumptions and to accept others as they are.

Throughout this chapter the impact of SML, often transformational, is evidenced through the testimony of those who have experienced it.

The Saab Medical Library (SML) developed its virtual medical library site in 1997. The spread of the Internet prompted its development, in addition to continuous requests from users to provide such a service for 24 hours a day, seven days a week. The virtual library is dynamic, growing and changing continuously, and the role of the traditional reference librarian and the end‐user education programs had to change to fit this borderless library. This paper discusses the aim, preparation, problems and lessons learned after three years of the user education program in a virtual library setting, and how reference work had to change to satisfy the needs of both the system and its users. The reference librarian has to carry out a smooth transition to a virtual library and help users cope with the technological changes. Training at the SML, as in any academic library, aims at teaching how to retrieve information rather than providing answers. This training is presented in different forms such as orientation sessions, seminars, and course‐related instruction, in addition to Web‐based instruction. In a virtual setting, reference librarians should act both as educators and consultants for end‐users, advising them on the search strategy as well as the software set‐up. The “Lebanese Corner” and an e‐reference service were added to complete the picture of this virtual library. This change had advantages and disadvantages for the users.

This research aims to introduce a new methodology for integration between urban design strategies and supervised machine learning (SML) method – by applying both energy engineering modeling (evaluating phase) for the existing green sidewalks and statistical energy modeling (predicting phase) for the new ones – to offer algorithms that help to catch the optimum morphology of green sidewalks, in case of high quality of the outdoor thermal comfort and less errors in results.

The tools of the study are the way of processing by SML, predicting the future based on the past. Machine learning is benefited from Python advantages. The structure of the study consisted of two main parts, as the majority of the similar studies follow: engineering energy modeling and statistical energy modeling. According to the concept of the study, at first, from 2268 models, some are randomly selected, simulated and sensitively analyzed by ENVI-met. Furthermore, the Envi-met output as the quantity of thermal comfort – predicted mean vote (PMV) and weather items are inputs of Python. Then, the formed data set is processed by SML, to reach the final reliable predicted output.

The process of SML leads the study to find thermal comfort of current models and other similar sidewalks. The results are evaluated by both PMV mathematical model and SML error evaluation functions. The results confirm that the average of the occurred error is about 1%. Then the method of study is reliable to apply in the variety of similar fields. Finding of this study can be helpful in perspective of the sustainable architecture strategies in the buildings and urban scales, to determine, monitor and control energy-based behaviors (thermal comfort, heating, cooling, lighting and ventilation) in operational phase of the systems (existed elements in buildings, and constructions) and the planning and designing phase of the future built cases – all over their life spans.

Limitations of the study are related to the study variables and alternatives that are notable impact on the findings. Furthermore, the most trustable input data will result in the more accuracy in output. Then modeling and simulation processes are most significant part of the research to reach the exact results in the final step.

Finding of the study can be helpful in urban design strategies. By finding outdoor thermal comfort that resulted from machine learning method, urban and landscape designers, policymakers and architects are able to estimate the features of their designs in air quality and urban health and can be sure in catching design goals in case of thermal comfort in urban atmosphere.

By 2030, cities are delved as living spaces for about three out of five people. As green infrastructures influence in moderating the cities’ climate, the relationship between green spaces and habitants’ thermal comfort is deduced. Although the strategies to outside thermal comfort improvement, by design methods and applicants, are not new subject to discuss, applying machines that may be common in predicting results can be called as a new insight in applying more effective design strategies and in urban environment’s comfort preparation. Then study’s footprint in social implications stems in learning from the previous projects and developing more efficient strategies to prepare cities as the more comfortable and healthy places to live, with the more efficient models and consuming money and time.

The study achievements are expected to be applied not only in Tehran but also in other climate zones as the pattern in more eco-city design strategies. Although some similar studies are done in different majors, the concept of study is new vision in urban studies.

Argues for the importance of developing social capital in organisations. If training stays focused on the individual (human capital) level it may be missing out on important changes in developing organisational performance. The use of self managed learning (SML) is examined through reference to two cases where SML programmes have been carefully evaluated and shown to contribute to the development of both social capital and human capital.

The purpose of this article is to analyze the historical significance of Donald J. Urquhart, who established the National Lending Library for Science and Technology (NLL) that later was merged into the British Library Lending Division (BLLD), now called the British Library Document Supply Centre (BLDSC).

The paper presents a short history of the probabilistic revolution, particularly as it developed in the UK in the form of biometric statistics due to Darwin's theory of evolution. It focuses on the overthrow of the normal paradigm, according to which frequency distributions in nature and society conform to the normal law of error. The paper discusses the importance of the Poisson distribution and its utilization in the construction of stochastic models that better describe reality. Here the focus is on the compound Poisson distribution in the form of the negative binomial distribution (NBD). The paper then shows how Urquhart extended the probabilistic revolution to librarianship by using the Poisson as the probabilistic model in his analyses of the 1956 external loans made by the Science Museum Library (SML) as well as in his management of the scientific and technical (sci/tech) journal collection of the NLL. Thanks to this, Urquhart can be considered as playing a pivotal role in the creation of bibliometrics or the statistical bases of modern library and information science. The paper relates how Urquhart's son and daughter‐in‐law, John A. and Norma C. Urquhart, completed Urquhart's probabilistic breakthrough by advancing for the first time the NBD as the model for library use in a study executed at the University of Newcastle upon Tyne, connecting bibliometrics with biometrics. It concludes with a discussion of Urquhart's Law and its probabilistic implications for the use of sci/tech journals in a library system.

By being the first librarian to apply probability to the analysis of sci/tech journal use, Urquhart was instrumental in the creation of modern library and information science. His findings force a probabilistic re‐conceptualization of sci/tech journal use in a library system that has great implications for the transition of sci/tech journals from locally held paper copies to shared electronic databases.

Urquhart's significance is considered from the perspective of the development of science as a whole as well as library and information science in particular.

The book has generated a passionate dialogue-disagreement (mostly but not entirely) with the book. Dialogue-disagreement is based on challenges, disagreements and rebuttals between opponents, often belonging to different, even irreconcilable, paradigms. The goal of dialogue-disagreement is not so much to convince the opponent to change their mind but rather to critically examine and problematize the two involved paradigms: the authors’ and the reviewer’s. By taking the generated challenges and disagreements seriously, both irreconcilable paradigms can grow through their replies. Dialogue-disagreement gives the participants–opponents the gift of revealing their own paradigmatic blind spots, which are often invisible from within their paradigms. Dialogue-disagreement is exploratory and based on an agnostic relationship between frenemies, i.e. “friendly enemies.”

This is a critical book review essay of Self Managed Learning and the New Educational Paradigm (Cunningham, 2021).

The reviewer views Ian Cunningham’s Self Managed Learning educational paradigm as a hybrid of Progressive and Democratic Education, while the reviewer sees his/her Self-Education paradigm as entirely Democratic (and Dialogic). Elsewhere, the reviewer discussed and critically analyzed the Progressive Education paradigm, which generally involves channeling the student’s learning activism and subjectivity toward learning outcomes desired by an educator. It uses the educator’s manipulation of the student’s subjectivity to make them study what the educator wants them to study. In contrast, the paradigm of Democratic Education assumes that the educatee is the final authority of their own education. The educatee decides whether to study, when to study, what to study, how to study, with whom to study, where to study, for what purpose to study and so on. The educatee makes these decisions by themselves or with the help of other people at the educatee’s discretion and conditions. The reviewer charges that Ian’s Self Managed Learning paradigm is a hybrid of both paradigms, with the Progressive Education paradigm taking the lead and exploiting the Democratic Education paradigm.

The book presented a unique, innovative practice worth a critical analysis. The reviewer’s dialogue-disagreement with the book reveals a particular hybrid of Progressive and Democratic Education which is common to some innovative self-directed learning.