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The purpose of this paper is to evaluate the viability of rehabilitation from a financial standpoint and examine particularly whether a rehabilitation project is worth carrying out or not. Nowadays, rehabilitation has become all the more important in society. Theoretical option models may explain how to make an optimal decision, but in reality they seem to lack empirical evidence when it comes to some situation. This paper aims to use option models to gauge the likely gain/loss from rehabilitation in face of uncertainties. It seeks to bridge the gap in the rehabilitation field between theory and application for facilities managers and property owners alike.

The binomial option model and Samuelson‐McKean closed form model are utilised to evaluate the likely financial benefits of the two major rehabilitation schemes, exploring option premiums and hurdle values. The real option approaches provide a useful framework within which to gauge a likely gain (loss) and ascertain the viability of rehabilitation in the midst of uncertainties.

The real option approaches produce two outcomes values, the option premium and the hurdle value, which are able to provide insight into the likelihood of rehabilitation for facilities managers/property owners in the intricate and dynamic markets. The higher the option premium, the more attractive a rehabilitation project will be. And the hurdle value usefully reveals a critical timing for exercising rehabilitation.

This paper provides a necessary support for sustaining the rehabilitation schemes. It presents an adequate alternative to examine the value of rehabilitation by taking into account uncertainties in real life. It is useful for facilities managers and property owners, who sometimes neglect potential benefit/loss in the uncertainties when making an investment decision.

This paper has established the framework for evaluating the rehabilitation schemes that has practical implications for decision making. The facilities manager, property owner and government should make some adjustments in formulation of their rehabilitation policies and strategies.

This paper provides facilities managers with a means in which the real option approaches are embedded to express benefit/costs of rehabilitation. With the aid of this information, facilities managers/property owners are able to evaluate rehabilitation more effectively and enhance the decision‐making quality.

Nobody concerned with political economy can neglect the history of economic doctrines. Structural changes in the economy and society influence economic thinking and, conversely, innovative thought structures and attitudes have almost always forced economic institutions and modes of behaviour to adjust. We learn from the history of economic doctrines how a particular theory emerged and whether, and in which environment, it could take root. We can see how a school evolves out of a common methodological perception and similar techniques of analysis, and how it has to establish itself. The interaction between unresolved problems on the one hand, and the search for better solutions or explanations on the other, leads to a change in paradigma and to the formation of new lines of reasoning. As long as the real world is subject to progress and change scientific search for explanation must out of necessity continue.

The purpose of this paper is to present a fresh approach to stimulate individual creativity. It introduces a mathematical representation for creative ideas, six creativity operators and methods of matrix-algebra to evaluate, improve and stimulate creative ideas. Creativity begins with ideas to resolve a problem or tackle an opportunity. By definition, a creative idea must be simultaneously novel and useful. To inject analytic rigor into these concepts of creative ideas, the author introduces a feature-attribute matrix-construct to represent ideas, creativity operators that use ideas as operands and methods of matrix algebra. It is demonstrated that it is now possible to analytically and quantitatively evaluate the intensity of the variables that make an idea more, equal or less, creative than another. The six creativity operators are illustrated with detailed multi-disciplinary real-world examples. The mathematics and working principles of each creativity operator are discussed.

The unit of analysis is ideas, not theory. Ideas are man-made artifacts. They are represented by an original feature-attribute matrix construct. Using matrix algebra, idea matrices can be manipulated to improve their creative intensity, which are now quantitatively measurable. Unlike atoms and cute rabbits, creative ideas, do not occur in nature. Only people can conceive and develop creative ideas for embodiment in physical, non-physical forms, or in a mix of both. For example, as widgets, abstract theorems, business processes, symphonies, organization structures, and so on. The feature-attribute matrix construct is used to represent novelty and usefulness. The multiplicative product of these two matrices forms the creativity matrix. Six creativity operators and matrix algebra are introduced to stimulate and measure creative ideas. Creativity operators use idea matrices as operands. Uses of the six operators are demonstrated using multi-disciplinary real-world examples. Metrics for novelty, usefulness and creativity are in ratio scales, grounded on the Weber–Fechner Law. This law is about persons’ ability to discern differences in the intensity of stimuli.

Ideas are represented using feature-attribute matrices. This construct is used to represent novel, useful and creative ideas with more clarity and precision than before. Using matrices, it is shown how to unambiguously and clearly represent creative ideas endowed with novelty and usefulness. It is shown that using matrix algebra, on idea matrices, makes it possible to analyze multi-disciplinary, real-world cases of creative ideas, with clarity and discriminatory power, to uncover insights about novelty and usefulness. Idea-matrices and the methods of matrix algebra have strong explanatory and predictive power. Using of matrix algebra and eigenvalue analyses, of idea-matrices, it is demonstrated how to quantitatively rank ideas, features and attributes of creative ideas. Matrix methods operationalize and quantitatively measure creativity, novelty and usefulness. The specific elementary variables that characterize creativity, novelty and usefulness factors, can now be quantitatively ranked. Creativity, novelty and usefulness factors are not considered as monolithic, irreducible factors, vague “lumpy” qualitative factors, but as explicit sets of elementary, specific and measurable variables in ratio scales. This significantly improves the acuity and discriminatory power in the analyses of creative ideas. The feature-attribute matrix approach and its matrix operators are conceptually consistent and complementary with key extant theories engineering design and creativity.

First to define and specify ideas as feature-attribute matrices. It is demonstrated that creative ideas, novel ideas and useful ideas can be analytically and unambiguously specified and measured for creativity. It is significant that verbose qualitative narratives will no longer be the exclusive means to specify creative ideas. Rather, qualitative narratives will be used to complement the matrix specifications of creative ideas. First to specify six creativity operators enabling matrix algebra to operate on idea-matrices as operands to generate new ideas. This capability informs and guides a person’s intuition. The myth and dependency, on non-repeatable or non-reproducible serendipity, flashes of “eureka” moments or divine inspiration, can now be vacated. Though their existence cannot be ruled out. First to specify matrix algebra and eigen-value methods of quantitative analyses of feature-attribute matrices to rank the importance of elementary variables that characterize factors of novelty, usefulness and creativity. Use of verbose qualitative narratives of novelty, usefulness and creativity as monolithic “lumpy” factors can now be vacated. Such lumpy narratives risk being ambiguous, imprecise, unreliable and non-reproducible, Analytic and quantitative methods are more reliable and consistent. First to define and specify a method of “attacking the negatives” to systematically pinpoint the improvements of an idea’s novelty, usefulness and creativity. This procedure informs and methodically guides the improvements of deficient ideas.

In order to succeed in an action under the Equal Pay Act 1970, should the woman and the man be employed by the same employer on like work at the same time or would the woman still be covered by the Act if she were employed on like work in succession to the man? This is the question which had to be solved in Macarthys Ltd v. Smith. Unfortunately it was not. Their Lordships interpreted the relevant section in different ways and since Article 119 of the Treaty of Rome was also subject to different interpretations, the case has been referred to the European Court of Justice.

The aim of this paper is to provide an approach to analyze the performance of TV programs and to identify what can be done to improve them.

The Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS), the Ng-model, Grey relational analysis (GRA), and principal component analysis (PCA) were applied to evaluate the programs, using audience, share, and duration as the performance criteria.

By comparing TOPSIS to the Ng-model, PCA, and GRA, we verified that SVD and bootstrap SVD TOPSIS provide a good balance between equal-weights TOPSIS and the other models. This is because SVD and bootstrap SVD TOPSIS break down the data to a higher degree, but are less impacted by outliers compared to the long tail models.

To determine which TV programs should be replaced or modified is a complex decision that has not been addressed in the literature. The advantage of using a multi-criteria decision-making (MCDM) approach is that analysts can choose as many criteria as they want to rank TV programs, rather than relying on a single criterion (e.g., audience, share, target rating point).

This work represents the first time that robust MCDM methodology is applied to an audience data set to analyze the performance of TV programs and to identify what can be done to improve them. This study shows the application of a detailed methodology that is useful for the improvement of TV programs and other entertainment industry content.

This paper aims to validate an initially developed e-Health readiness assessment model.

The authors thematically analysed an initial qualitative data collected and used the outcome to develop survey instruments for this study. To collect the quantitative data, the authors used the drop and collect survey approach given the research setting. The quantitative data was analysed using factor and regression analyses of SPSS 23 in which hypotheses formulated were tested.

The results suggest that the model [R² = 0.971; F (5, 214) = 1414.303], which is made up of readiness assessment factors (constructs) and measuring tools explain about 97% of the variance of the overall health information technology/e-Health adoption readiness at Komfo Anokye Teaching Hospital. The measuring tools were reliable for assessing the composite variables (constructs): technology readiness; operational resource readiness; organizational and cultural readiness; regulatory and policy readiness; and core readiness, which have significant influence on eHealth adoption readiness assessment..

This study has successfully validated empirically developed eHealth readiness assessment model with complete reliable indicators given that existing eHealth readiness assessment models have not been effective due to a general lack of standard indicators for measuring assessment factors. The study also contributes to the growing research on the adoption of information technology/systems in health-care environment using the Technology–Organization–Environment framework.

Progress in theory building in the field of collaborative networks in manufacturing is preponderantly seen in contributions from disciplines outside manufacturing science. Interdisciplinary research is one way of accelerating the development of appropriate theory for this emerging domain where industrial practice has moved beyond the state of the art of scientific knowledge for establishing workable, competitive solutions. The purpose of this paper is to examine to what extent interdisciplinary research has contributed to a better understanding of collaborative (manufacturing) networks.

To find out more about provenances of on‐going studies, to identify clusters of contributions and to provide direction for future work of researchers in this domain, publications of the past 22 years have been evaluated. To retrieve these contributions, a structured literature review has been undertaken by applying keywords to selected databases and using a strictly defined stepwise procedure. In total, 202 publications of all kinds have been evaluated.

From the analysis of the results, it appears that most interdisciplinary contributions to collaborative (manufacturing) networks rely on one original outside discipline for either developing solutions or advancing theoretical insight. Consequently, and after further analysis, it seems that researchers in collaborative networks hardly resort to multi‐disciplinary approaches, unless “natural”; further advances might arrive from stimulating these multi‐disciplinary avenues rather than sticking to more mono‐disciplinary, and less risky, takes on both applications and theoretical insight. A more detailed investigation of the value of contributions reveals that efforts to make interdisciplinary advances are either difficult or limited. Also, the findings indicate that researchers tend to follow a more “technical” approach to decision making by actors in networks rather than searching for a shift in paradigm.

While setting out these directions for future research and guiding research, this first‐of‐its‐kind review introduces the collaboration model as a systematic approach to collaborative (manufacturing) networks. This model might serve as a reference model to integrate disciplines for addressing the characteristics of Collaborative Networks. Its use in the review led to the finding that typical traits of networks, such as changeability, supplementary assets and decentralisation of decision making, are under‐researched.

The purpose of this paper is to determine whether current account imbalances – surpluses or deficits – are “excessive” and hence constitute a valid concern. The second objective is to assess the degree of capital mobility by comparing the variance of the current account derived from the intertemporal model with that of the actual current account.

The paper addresses the issues by constructing the intertemporal model using annual data between 1960 and 2006. The authors applied the F‐test, the Bartlett test and the Siegel‐Tukey test to formally validate for equality of the variances of the optimal and actual consumption smoothing current accounts.

Based on vector autoregressive model, it was found that the present value of future net output closely reflects the evolution of the current account series with a small (insignificant) deviation between the actual and the estimated consumption‐smoothing current account. The results show that the hypothesis of full‐consumption smoothing could not be rejected by the data for the full sample period, implying that the degree of capital mobility was quite high, even during the post‐1997 period. The variance ratio of the actual current account to the optimal current account is not statistically greater than one. Therefore, it is concluded that there is no evidence to suggest inappropriate use of capital flows over the entire sample period under investigation.

The authors relied on a more general framework, as suggested by Bergin and Sheffrin, which allows real interest rate to affect current account in order to provide a new perspective on Thailand's current account balance.

This paper aims to address gaps in the sustainable technology literature by evaluating the demographics of energy efficient appliance consumption in Vietnam. Sustainable technologies can reduce greenhouse gas emissions and address environmental problems such as air quality and climate change. Opportunity is the greatest in emerging markets, where population growth has triggered dramatic rises in electricity consumption. However, their adoption of energy efficient appliances has been slow and understanding why is limited.

Following a literature review, a questionnaire was designed to capture sustainable consumption attitudes and behaviours. In total, 682 interviews were conducted among Vietnamese electrical appliance consumers to investigate the influence of demographics on sustainable technology consumption.

While many respondents were aware of the sustainable benefits of energy efficient appliances, this did not generally translate into responsible purchase behaviour. Of the demographic variables, education had the strongest relationship with sustainability. Those with higher incomes and more children were also more likely to exhibit sustainable consumption attitudes and behaviours. Gender and age were weaker sustainability predictors.

This study is relevant to a wide range of sustainable technology contexts. The literature shows contrary findings regarding relationships between demographics and sustainable consumption, and the value of demographics to sustainable consumer segmentation and targeted behaviour change campaigns has been contested by some researchers. This research highlights education as the most significant demographic predictor of sustainable consumption and reveals the consistency of this finding with many other studies. The implications of this for promoting future sustainability are discussed.