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This study aims to develop a model based on the financial variables for better accuracy of financial distress prediction on the sample of private French, Spanish and Italian firms. Thus, firms in financial difficulties could timely request for troubled debt restructuring (TDR) to continue business.

This study used a sample of 312 distressed and 312 non-distressed firms. It includes 60 French, 21 Spanish and 231 Italian firms in both distressed and non-distressed groups. The data are extracted from the ORBIS database. First, the authors develop a new model by replacing a ratio in the original Z”-Score model specifically for financial distress prediction and estimate its coefficients based on linear discriminant analysis (LDA). Second, using the modified Z”-Score model, the authors develop a firm TDR probability index for distressed and non-distressed firms based on the logistic regression model.

The new model (modified Z”-Score), specifically for financial distress prediction, represents higher prediction accuracy. Moreover, the firm TDR probability index accurately depicts the probabilities trend for both groups of distressed and non-distressed firms.

The findings of this study are conclusive. However, the sample size is small. Therefore, further studies could extend the application of the prediction model developed in this study to all the EU countries.

This study has important practical implications. This study responds to the EU directive call by developing the financial distress prediction model to allow debtors to do timely debt restructuring and thus continue their businesses. Therefore, this study could be useful for practitioners and firm stakeholders, such as banks and other creditors, and investors.

This study significantly contributes to the literature in several ways. First, this study develops a model for predicting financial distress based on the argument that corporate bankruptcy and financial distress are distinct events. However, the original Z”-Score model is intended for failure prediction. Moreover, the recent literature suggests modifying and extending the prediction models. Second, the new model is tested using a sample of firms from three countries that share similarities in their TDR laws.

Despite the need for such, little scholarly attention has been paid to transdisciplinary enquiry into gender inequities in workplaces. The authors provide a pragmatic evaluation of the transdisciplinary research (TDR) model by Hall et al. (2012) for framing the study of this societal issue, shedding light on the challenges, principles and values that could usefully inform subsequent TDR in organisational settings.

This paper evaluates the model in relation to TDR on gender inequities in New Zealand's public service by Hall et al. (2012) Content analysis on our reflective narratives from research team meetings, email exchanges, informal discussions and a workshop reveals TDR study insights. Findings show support for the model and its four broad phases and surface principles and values for applied TDR enquiry that addresses societal challenges in the organisational context.

The adoption of a TDR model to examine a study of equity in the public service revealed practical and conceptual challenges, encouraging ongoing reflection and adaptive behaviour on the researchers' part. The pragmatic evaluation also highlighted environmental constraints on undertaking TDR, with implications for the ambition of future studies.

This evaluative enquiry encourages similar research in other organisational and national settings to validate the use of TDR to gain insightful, contextualised understandings of social challenges centred in the organisational setting.

This pragmatic evaluation of a TDR model's capacity to approximate the approach and phases of our applied enquiry lays the groundwork to refining TDR approaches used in subsequent studies aimed at addressing societal issues in the organisational setting.

This paper can potentially promote greater collaboration between research scholars and other stakeholders wanting to develop TDR paradigms and applied enquiry that can meaningfully inform workplace and societal impacts.

This pragmatic evaluation of a TDR approach involves its initial application to the study of equity at work and develops principles and values that could inform TDR paradigms and methodologies of subsequent enquiries in the field.

Traditional nondestructive failure localization techniques are increasingly difficult to meet the requirements of high density and integration of system in package (SIP) devices in terms of resolution and accuracy. Time domain reflection (TDR) is recognized as a novel positioning analysis technology gradually being used in the electronics industry because of the good compatibility, high accuracy and high efficiency. However, there are limited reports focus on the application of TDR technology to SiP devices.

In this study, the authors used the TDR technique to locate the failure of SiP devices, and the results showed that the TDR technique can accurately locate the cracking of internal solder joints of SiP devices.

The measured transmission rate of electromagnetic wave signal was 9.56 × 107 m/s in the experimental SiP devices. In addition, the TDR technique successfully located the failure point, which was mainly caused by the cracking of the solder joint at the edge of the SiP device after 1,500 thermal cycles.

TDR technology is creatively applied to SiP device failure location, and quantitative analysis is realized.

The purpose of this paper is to examine the feasibility of adopting a market‐based land use model, Transfer of Development Rights (TDR), which is very popular in America and other countries as a positive land use control mechanism for conservation, in an evolving socialist land economy, namely China.

This paper utilizes a case study approach, supplemented by a cost‐benefit model, to estimate the feasibility of establishing a TDR model in Chongqing, China.

From the analysis, it is found that a market‐based land use mechanism can serve to maximize the benefits of all parties and can balance the interests between development pressures and conservation needs. However, this is based on a number of conditions, including: that a well‐developed legal framework should be set up, to clearly delineate property rights; that a good and enforceable planning system should be in place; and that a mature land market mechanism should be developed that allows open market prices to be realized in the trading of development rights.

This case study is based on a hypothetical situation of one case. More data are needed to support the argument in the future.

Conservation is a major concern for the local governments in China, given the recent high speed economic growth. A model that can balance development pressure, while allowing the market to compensate fully for the infringement of property rights in the process of urban regeneration, is worthy of the authority's attention in future policy formulation.

This paper shows that the society as a whole can strike a balance between the need for economic development and conservation of historic sites, provided some conditions can be met.

This paper fulfills an identified need to study the establishment of a market‐based land use model in the conservation policy of land in China.

The purpose of this study is to assess the contributions of graduate research to social innovation and change for learning and improved transdisciplinary practice. Universities, as centers of teaching and research, face high demand from society to address urgent social and environmental challenges. Faculty and students are keen to use their research to contribute to social innovation and sustainable development. As part of the effort to increase societal impact, research approaches are evolving to be more problem-oriented, engaged and transdisciplinary. Therefore, new approaches to research evaluation are also needed to learn whether and how research contributes to social innovation, and those lessons need to be applied by universities to train and support students to do impactful research and foster an impact culture.

This paper uses a theory-based evaluation method to assess the contributions of three completed doctoral research projects. Each study documents the project’s theory of change (ToC) and uses qualitative data (document review, surveys and interviews) to test the ToC. This paper uses a transdisciplinary research (TDR) quality assessment framework (QAF) to analyze each projects’ design and implementation. This paper then draws lessons from the individual case studies and a comparative analysis of the three cases on, namely, effective research design and implementation for social transformation; and training and support for impactful research.

Each project aimed to influence government policy, organizational practice, other research and/or the students’ own professional development. All contributed to many of their intended outcomes, but with varying levels of accomplishment. Projects that were more transdisciplinary had more pronounced outcomes. Process contributions (e.g. capacity-building, relationship-building and empowerment) were as or more important than knowledge contributions. The key recommendations are for: researchers to design intentional research, with an explicit ToC; higher education institutions (HEI) to provide training and support for TDR theory and practice; and HEIs to give more attention to research evaluation.

This is the first application of both the outcome evaluation method and the TDR QAF to graduate student research projects, and one of very few such analyses of research projects. It offers a broader framework for conceptualizing and evaluating research contributions to social change processes. It is intended to stimulate new thinking about research aims, approaches and achievements.

This paper presents the results of research into the process of testing controlled impedance circuit boards. It aims to provide a general introduction to the subject of controlled impedance circuit board production for manufacturers wishing to make this type of board in the future and offers constructive suggestions for those who may want to improve on their current process. Consequently, in addition to describing test issues there are references to some of the other main subject areas that require attention when the production of high quality controlled impedance circuit boards is to be considered, namely design, materials and fabrication. The content of this paper is based on production trials that were conducted by MEPD Met‐Etch (Selkirk) Ltd at their manufacturing facilities in Scotland as part of a UK Ministry of Defence research contract. The results of this research were included in a report for the UK Defence Research Agency (Electronics Division) and subsequently were also detailed in an individual ‘Guidelines for Designers’ document. This document has since been separately submitted to ECL 19 with a view towards incorporation into the CECC 23000 Approval System. In order to verify the test results, separate comparison measurements were also conducted by other circuit board manufacturers using a range of suitable test instrumentation. There is a growing requirement in the printed circuit board industry for a simple means of testing controlled impedance boards. This paper promotes the use of computer‐controlled test instrumentation so that accurate and repeatable measurements can be made by production staff in a manufacturing environment. If this is achieved, it should be possible to close the quality loop on controlled impedance circuit board production using normal statistical process control techniques.

The purpose of this paper is to solve the problem of information privacy and security of social users. Mobile internet and social network are more and more deeply integrated into people’s daily life, especially under the interaction of the fierce development momentum of the Internet of Things and diversified personalized services, more and more private information of social users is exposed to the network environment actively or unintentionally. In addition, a large amount of social network data not only brings more benefits to network application providers, but also provides motivation for malicious attackers. Therefore, under the social network environment, the research on the privacy protection of user information has great theoretical and practical significance.

In this study, based on the social network analysis, combined with the attribute reduction idea of rough set theory, the generalized reduction concept based on multi-level rough set from the perspectives of positive region, information entropy and knowledge granularity of rough set theory were proposed. Furthermore, it was traversed on the basis of the hierarchical compatible granularity space of the original information system and the corresponding attribute values are coarsened. The selected test data sets were tested, and the experimental results were analyzed.

The results showed that the algorithm can guarantee the anonymity requirement of data publishing and improve the effect of classification modeling on anonymous data in social network environment.

In the test and verification of privacy protection algorithm and privacy protection scheme, the efficiency of algorithm and scheme needs to be tested on a larger data scale. However, the data in this study are not enough. In the following research, more data will be used for testing and verification.

In the context of social network, the hierarchical structure of data is introduced into rough set theory as domain knowledge by referring to human granulation cognitive mechanism, and rough set modeling for complex hierarchical data is studied for hierarchical data of decision table. The theoretical research results are applied to hierarchical decision rule mining and k-anonymous privacy protection data mining research, which enriches the connotation of rough set theory and has important theoretical and practical significance for further promoting the application of this theory. In addition, combined the theory of secure multi-party computing and the theory of attribute reduction in rough set, a privacy protection feature selection algorithm for multi-source decision table is proposed, which solves the privacy protection problem of feature selection in distributed environment. It provides a set of effective rough set feature selection method for privacy protection classification mining in distributed environment, which has practical application value for promoting the development of privacy protection data mining.

In this study, the proposed algorithm and scheme can effectively protect the privacy of social network data, ensure the availability of social network graph structure and realize the need of both protection and sharing of user attributes and relational data.

The paper aims to examine some of the requirements for an industrial strength loss measurement technique in FR4 laminate printed circuit boards and, in particular, to take a closer look at one new candidate method.

The paper highlights some of the issues in transferring an essentially laboratory‐based measurement technique to high volume manufacturing, i.e. the shop floor. The paper uses the newly proposed SET2DIL method of characterizing loss, comparing results with established laboratory methods and discusses the practical issues, such as the design of new test probes and coupons, in its implementation.

The paper shows that current time‐consuming laboratory methods of loss measurement using vector network analysers (VNAs), with their associated high skill requirements, though accurate and reproducible, are not viable for the factory floor, with its challenging environment and, occasionally, lack of specialized expertise. The SET2DIL method of loss measurement appears to offer a robust and reliable method of measuring and predicting loss in FR4 and should achieve wide approval across the board manufacturing industry.

The results of extensive testing are compared favourably with the results of established reference methods using VNAs, showing good correlation, and the SET2DIL method is recommended as being suitable for use in a high volume production environment.

This research paper aims to explore the relationship of financial performance and capital structure of Indian pharma firms of BSE 500, the impact of research and development (R&D) expenditure on financial performance and also explore the moderating role of competitive intensity between the existing relationship of capital structure and firm performance.

The balanced panel data of listed pharma firms of BSE 500 are used for the research study, and the present study adopts both the panel and ordinary least square (OLS) estimation techniques to draw the results.

The results exhibit that the high debt ratio is harmful for the accounting performance of the selected sample of pharma firms of BSE 500. Besides, market competition negatively moderates the relationship between capital structure and firm performance.

The research findings provide evidence for the policymakers/regulators that the sample firms should discourage the high debt financing in the presence of competitive intensity in the product marketplace.

The core contribution of the current research is to examine impact of R&D expenditure on financial performance and the moderating role of market competition on the relationship of capital structure and firm performance to the best of the authors' knowledge, and no single study has previously explored this relationship in the context of BSE 500 pharma firms.

The purpose of this paper is to examine the regulatory, policy and market‐based approaches taken to incorporate biodiversity conservation in the management of urban growth in Sydney and more broadly in New South Wales, Australia's most populous state. Problems associated with managing Sydney's growth – particularly from the intersection of dealing with perceived property rights and the protection of natural resources such as biodiversity – are identified, and the scope for hybrid “smart regulation” is examined.

The relevant issues are illustrated through significant State Government development decisions relating to the retention of biodiversity in the new growth areas of Sydney.

The paper argues that to better integrate biodiversity conservation in Australian cities a mixed approach be adopted in which a number of tools are utilised – and that this needs to occur in the context of a sound overarching strategic planning framework. This constitutes a hybrid approach involving a “fixed” strategic spatial plan informing statutory‐based regulation primarily through zoning and other development controls, augmented by a range of market based tools implemented through statute and common law measures such as conservation covenants.

Singular reliance on traditional “command and control” regulatory approaches as both a cause and ineffectual solution to the problems faced in biodiversity conservation is highlighted. Newer “market based” mechanisms which are being introduced (e.g. biobanking), or should be adopted (e.g. transferable development rights), and management at the strategic level (e.g. biodiversity certification), are examined.