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In January 2013, new court procedure rules were introduced in England and Wales, which resulted in significant changes to the instruction of expert witness psychologists (EWPsychs). This study aims to build on the results of previous survey studies of psychologists working as expert witnesses in identifying the current challenges faced by EWPsychs.

Using a mixed-methods design, a sample 58 practicing psychologist expert witnesses were surveyed, and qualitative data was analysed using a thematic analysis approach.

Six overarching themes emerged from the online survey data: training and knowledge, changes to procedure rules and Legal Aid Authority fees, quality of reports, pressures to change opinion, conflict with EWPsychs and expert witness feedback. Over a third of psychologists working as expert witness have not received specific expert witness training, with a quarter of respondents indicating that the capped legal aid fees are a determining factor in whether they accept instruction as an expert witness, and almost two-third of respondents believing that the legal aid rates do not accurately reflect the work that they do.

There is clear demand for high-quality EWPsychs and a need to develop expert witness training programmes and guidance documents to better support the next generation of EWPsychs.

These results inform existing policy, clinical practice and guidance documents in supporting psychologists working as expert witnesses.

This chapter summarizes public perceptions and expert evaluations concerning elected officials' levels of corruption, focusing on comparisons between the United States and 29 European Union “plus” (EU+) countries (28 EU Member States in 2018 plus Switzerland). While surveys of corruption have become more widely available in recent years, there is still a lack of comparable data focusing on specific government institutions, rather than general perceptions of corruption by elected or public officials. Thus, this study takes advantage of four major sources of citizens' perceptions of corruption to develop an average score and ranking for a total of 30 countries: the 2017 Global Corruption Barometer, the 2017 Eurobarometer subtitled “Integration of Immigrants in the European Union and Corruption,” the 2016 International Social Survey Program's (ISSP) Module on the “Role of Government V,” and the Pew Research Center's 2018 “Global Attitudes & Trends Survey.” Three expert assessments of levels of corruption supplement these surveys: the Varieties of Democracy (V-Dem) Project's measure of legislative corruption, Transparency International's Corruption Perceptions Index (CPI) 2016, and the World Bank's 2016 Worldwide Governance Indicators (WGI) assessment of the “Control of Corruption.” Finally, the chapter tests several hypotheses derived from the literature using the various corruption measures as the dependent variable and finds that choosing a measure of corruption based on citizens' perceptions or expert evaluations is substantively important. Thus, one must exercise caution when selecting one type of measure over the other.

The paper aims to document the findings of an expert survey in the organic food category in India. It seeks to highlight the relative importance attached by the experts to key explanatory variables in the consumers' purchase process of organic food. It attempts to integrate with the relevant consumer survey findings published in India in recent times in organic food category.

The list of experts was prepared by including regular and well‐known speakers in different agri enclaves and summits and who are members of different food industry bodies. Experts were contacted through judgmental sampling method. Feedback on the expert questionnaires was collected from July to October 2007 from 33 highly knowledgeable senior experts primarily through face‐to‐face personal surveys and through e‐mail surveys.

Importance placed on health motivation has the highest average rating and is one of the lowest standard deviations among the explanatory variables in the expert survey. Experts also rate the importance of the three mentioned attitudes (about conviction about utility of organic food, reputation of store and certification process‐related information), organic food‐specific consumer innovativeness, organic food‐specific consumer opinion leadership, word of mouth (WOM) (activity), WOM (praise) and affective commitment about the store to be high in the consumers' purchase process.

The novelty of the paper lies in the fact that it addresses the key issues facing the organic food category in India from an expert survey point of view.

The purpose of this paper is to create a vision and obtain a consensus on Taiwan's nanotechnology industry in three dimensions (the 2007 situation, the R&D maturation time, and the 2020 scenario). It then seeks to foster a set of development strategies for Taiwan in 2020.

A Delphi‐based foresight study together with an expert discussion meeting has been conducted to obtain a consensus for Taiwan nanotechnology in 2020.

The paper provides the results of the first Delphi‐based survey on Taiwan nanotechnology development. The Nano Bio Medicine domain has greater maturity; the maturation time of most techniques will be 2010‐2015; Nanocomposite Material Technique, Nano Optoelectronic and Optical Communication, and Nano Storage show relatively high competitiveness. Self‐R&D and Technology introduced from overseas are the major development methods in 2020.

The paper is of interest to foresight practitioners and policy makers at the industrial and government levels in Taiwan.

The paper is the first publication to identify Taiwan's 2020 nanotechnology development by Delphi‐based foresight investigation.

The purpose of this article is to evaluate a method for measuring work activities and skill requirements of 160 occupations in eight countries, used in EurOccupations, an EU‐FP6 project. Additionally, it aims to explore how the internet can be used for measuring work activities and skill requirements.

For the 160 occupations, work activities were described in approximately ten tasks. Occupational experts and jobholders were invited to rate these tasks and to indicate the skill requirements, using a multilingual web‐survey. Experts were recruited through the networks of the project partners and jobholders through frequently visited websites in the eight countries. The effectiveness of the drafting of tasks descriptions, the recruitment of raters, and the measurement of skill requirements is evaluated.

The project showed that tasks descriptions for a wide range of occupations and countries can be drafted relatively easy, using desk research. Conducting a web‐survey with a routing for 160 occupations and eight countries is viable. Recruiting experts used more resources than recruiting jobholders using the internet. Measuring skill requirements would need much more resources due to major variations within and across countries.

The article addresses a number of areas that are potentially worthy of further empirical investigations for a Europe‐wide library of occupational titles, work activities and skill requirements.

The paper outlines the potential of a future method for a European library of work activities and skill requirements for occupational titles, thereby facilitating European industrial training efforts.

Insight in the work activities and skill requirements of occupations will facilitate labour mobility and related training across EU member states.

This paper explores the potential for a Europe‐wide empirical underpinning of work activities and skill requirements, using a web‐survey and the internet.

An experiment is undertaken to assess how the level of information provided to survey groups impacts upon the decisions they make. In this experiment, a group of experts is surveyed first to determine both the forms and levels of information important to them regarding an obscure environmental resource (remote mountain lakes), as well as their ranking of particular examples of these resources in accordance with their own criteria. Then three different groups of respondents are given different levels of this information to assess how their WTP for the resources responds to varying levels of this information, and how their rankings of the different goods alters with the information provided. The study reports evidence that generally increased levels of information provide significant quantitative changes in aggregate WTP (the enhancement effect), as well as a credible impact on their ranking of the various goods. On closer examination, much of the enhancement effect appears to be attributable to the changes in ranking, and to changes in the WTP for a single lake at each level of information. In addition the ranking does not respond in any consistent or coherent fashion during the experiment until the information provided is complete, including a ranking of subjectively reported importance by the expert group, and then the survey group converges upon the expert's group rankings. In sum, the experiment generates evidence that is both consistent with the anticipated effects of increased levels of information but also consistent with the communication of information-embedded preferences of the expert group. It may not be possible to communicate expert-provided information to survey groups without simultaneously communicating their preferences.

Expert systems have become the more acceptable face of the much mooted “artificial intelligence” of the 1980s. A survey of UK organizations was undertaken in order to determine the usage rate and the main applications of expert systems. The responses indicate that very little use is being made of the available technology, and that where expert systems are used, they are often utilized in routine roles. Interviews were carried out with 12 high‐level managers in medium and large organizations to ascertain the possible results of poor or little use of expert systems and why organizations are reluctant to use them. The consensus is that, on a global scale, UK firms may lose sustained competitive advantage if they do not make the best use of the technology available.

There is consensus among experts that the design of future supply chains will have to focus more strongly on environmental concerns. Sustainability will play a major role within the business and has an impact especially on the distant future. Thus, supply chain executives are challenged in designing sustainable supply chains for the future. The paper aims to discuss this issue.

The authors develop expert-based scenarios, which describe how future supply chains could evolve by 2030. The authors focus on the transportation and logistics industry’s perspective to provide an industry-internal view. The data collection is based on an internet-based Delphi survey. Overall, 48 top executives from 20 countries, representing academic, governmental, and industrial perspectives, participated in the survey.

The authors operationalized the research question into five concrete sub-topics relevant for investigation: energy and emissions, consumer behaviour, future transport modes, design of future supply chains, and innovation. The authors derive five Delphi-based scenarios defined by clusters of their impact and expected probability: measurement and control of CO₂-emissions; integrated low energy logistics systems; business-as-usual logistics; no-frills logistics and alternative fuels. Each cluster contributes differently to supply chain strategy.

The authors address the major issues and challenges experts expect regarding future supply chains in an energy-constrained, low-carbon world. Five scenario clusters evolved for supply chain strategy development. Finally, the authors make recommendations towards strategic planning in the transportation and logistics industry.

As technological progress races on, the Library and Information Science (LIS) profession is continually faced with new challenges and new technologies to aid in the effective dissemination and use of information. This paper looks at the challenge and implications of expert systems technology for LIS. It will discuss in particular the possible contribution of LIS to expert systems development, in the light of a recent survey of 50 expert systems producers in the United Kingdom, conducted by the authors. It concludes that there is room and need for LIS skills in expert systems development teams, but that these skills may need to be augmented by more specific computing experience if LIS graduates are to have a realistic chance of employment in this area.

While the COVID-19 pandemic has impacted the construction industry, it is still unclear from prior studies about adequately positioning the quality assurance (QA) for the post-pandemic era and future pandemics, especially cross-border construction logistics and supply chain (Cb-CLSC). Thus, this study aims to develop a managerial framework to position the QA of Cb-CLSC during pandemics and post-pandemics by taking lessons from how COVID-19 has impacted the existing QA systems and has been managed successfully.

This is achieved pragmatically through an embedded mixed-method design involving a literature review, survey and interview from experts within the Hong Kong SAR–Mainland China links, typically known as the world’s factory. The design is further integrated with the partial least squares structural equation modelling (PLS-SEM) approach.

The study revealed 10 critical managerial practices (MPs) to position the QA to be adequate for the post-pandemic and during future pandemics, with the top three including “strict observance of government regulations (MP1)”, “planning ahead the period of quality assurance with the quarantine days in host countries (MP6)” and “modification of contract to cater for uncertainties (MP4)”. This attained a relatively good percentage agreement of 53% between the industry and academia. However, the top four MPs regarded as very effective include “implementing digital collaborative inspections with subcontractors and trades (MP8)”, “implementing a digital centralized document and issue management system (MP7)”, “strict observance to government regulations, including vaccination of workers, social distancing, use of prescribed nose masks, etc. (MP1)” and “planning ahead the period of quality assurance with the quarantine days in host countries (MP6)”. Two underlying components of the MPs were revealed as policy-process (PP)-related practices and people-technology-process (PTP)-related practices, and these can be modelled into a managerial framework capable of effectively positioning the QA to be adequate during pandemics through to the post-pandemic era.

The findings of this study depicted significant theoretical and practical contributions to the proactive management of QA activities during pandemics through to the post-pandemic era. It could empower organisations to pay attention to smartly and innovatively balancing people, processes, pandemic policy and technology to inform decisions to effectively position the QA for the post-pandemic era and survive the risks of future pandemics.

The study contributes to the body of knowledge in that it develops a managerial framework to position the QA of Cb-CLSC during pandemics and post-pandemics by taking lessons from how COVID-19 has impacted the existing QA systems and has been managed successfully. It is original research with invaluable primary data in the form of surveys and interviews from experts within the Hong Kong SAR–Mainland China links, typically known as the world’s factory.