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The purpose of this paper is to analyze the wave scattering behaviour of an inhomogeneous and eccentric inclusion in a homogeneous matrix material. Another purpose is to evaluate the influence of epistemic uncertainty on the wave scattering behaviour, particularly on the lack of knowledge about this eccentricity. This task calls for a multidisciplinary model.

The inclusion is modelled as a multi‐layered obstacle, with all layers being eccentric with respect to each other. The material behaviour of the embedding matrix is linear elastic and isotropic. In a multidisciplinary approach, the interaction of the inhomogeneous inclusion and the embedding matrix with respect to an incoming shear wave of arbitrary shape is solved analytically. The purely analytical solution process takes place in the frequency‐domain. Due to the lack of knowledge about the eccentric configuration of the matrix inclusion and its influence on the total wave field inside the matrix material, the mechanical model is coupled with fuzzy set theory for modelling this non‐stochastic uncertainty.

An analytical model for describing the wave scattering behaviour of an elastic matrix inclusion with eccentric set‐up is found and intimately connected with the framework of fuzzy set theory. Hence it is shown that the treatment of epistemic uncertainty with the derived analytical model is possible and fruitful. Additionally, it is shown that eccentric configurations lead to highly increased amplitudes with respect to the reference case of a concentric or even homogenous set‐up of the inclusion.

The value of this contribution is in the analytical model, which allows one to predict the wave scattering behaviour of eccentric configurations of multi‐layered fibres including the surrounding interphase, and its coupling with fuzzy set theory to cope with the epistemic uncertainty inherent in the geometric set‐up of the matrix inclusion.

A major challenge for foreign lenders in financing public private partnerships (PPP) infrastructure projects in an emerging market (EM) is the bankability of country-related risks. Despite existing studies on country risks in international project financing, perspectives of foreign lenders on bankability of country-specific risks in an EM is yet to be explored. Hence, using a mixed methodology approach, three private finance initiatives/PPP projects in Sub Saharan Africa (Nigeria) were used to investigate political risk, sponsor, concession and legal risks in PPP loan applications. The paper aims to discuss these issues.

The study adopted mixed methodological approach comprising focus group discussions and analysis of loan documents obtained from foreign project lenders, in addition to the questionnaire survey distributed to local and international project financiers with experiences in PPPs within Nigeria.

Results identified seven topmost bankability criteria for evaluating country-related risks (political risk, sponsor, concession and legal risks) in EM PPPs. In addition, a “Risk and Bankability Framework Model” was developed from the study presenting critical parameters for gaining foreign funding approval for EM’s PPP loan applications.

Since the study only explored bankability of PPPs in Sub Saharan Africa with the exclusion of other geographical regions, the proposed framework model should be taken in context of EMs as a mind-map for foreign lenders and local private investors seeking to finance PPPs in an EM.

Results from the study represent critical parameters for winning foreign loan approval for PPP infrastructure projects within an EM context.

Study proposed “Risk and Bankability Framework Model” relevant for evaluating PPP loan applications at the pre-approval stage for EM PPPs.

Purpose – The purpose of this chapter is to conduct a critical literature review that examines the origins and development of research on service robots in organizations, as well as the key emotional and cognitive issues between service employees, customers, and robots. This review provides a foundation for future research that leverages the emotional connection between service robots and humans.

Design/Methodology/Approach – A critical literature review that examines robotics, artificial intelligence, emotions, approach/avoid behavior, and cognitive biases is conducted.

Findings – This research provides six key themes that emerge from the current state of research in the field of service robotics with 14 accompanying research questions forming the basis of a research agenda. The themes presented are as follows: Theme 1: Employees have a forgotten “dual role”; Theme 2: The influence of groups is neglected; Theme 3: Opposing emotions lead to uncertain outcomes; Theme 4: We know how robots influence engagement, but not experience; Theme 5: Trust is necessary but poorly understood; and Theme 6: Bias is contagious: if the human mind is irrational…so too are robot minds.

Practical Implications – Practically, this research provides guidance for researchers and practitioners alike regarding the current state of research, gaps, and future directions. Importantly for practitioners, it sheds light on themes in the use of AI and robotics in services, highlighting opportunities to consider the dual role of the employee, examines how incorporating a service robot influences all levels of the organization, addresses motivational conflicts for employees and customers, explores how service robots influence the whole customer experience and how trust is formed, and how we are (often inadvertently) creating biased robots.

This paper aims to extend the small body of literature on energy industry transitions on firm level. A growing number of articles shed light on paradigm shifts in the energy industry and the influence of renewable energies on industry structures. In the majority of cases, the authors analyze changes on a global or national level.

Energy companies’ forecasting capabilities are particularly important to enable them to react in time to upcoming changes in industry structures. In this context, we analyze annual reports of German energy companies to evaluate their economic and technological forecasting competencies.

Big energy providers offer high economic forecasting quality, but seem to be less able to derive valid forecasts in terms of renewable energies from the currently unstable political frameworks. On the contrary, renewable energy companies do not seem to suffer from these difficulties and provide good foresting accuracy in terms of renewable energy development, but show less accurate economic forecasting quality.

Big energy providers need to find the means of responding to the challenges and integrate changing political guidelines and support into their forecasting system. Renewable energy companies, in contrast, should focus on company-level profitability and the respective economic forecasting competencies.

This paper makes a significant contribution to the literature on the subject of energy industry transitions by providing insights from publicly available data on firm level. The findings are highly relevant for managers of the energy industry and policy makers in this field.

Research data publishing is today widely regarded as crucial for reproducibility, proper assessment of scientific results, and as a way for researchers to get proper credit for sharing their data. However, several challenges need to be solved to fully realize its potential, one of them being the development of a global standard for links between research data and literature. Current linking solutions are mostly based on bilateral, ad hoc agreements between publishers and data centers. These operate in silos so that content cannot be readily combined to deliver a network graph connecting research data and literature in a comprehensive and reliable way. The Research Data Alliance (RDA) Publishing Data Services Working Group (PDS-WG) aims to address this issue of fragmentation by bringing together different stakeholders to agree on a common infrastructure for sharing links between datasets and literature. The paper aims to discuss these issues.

This paper presents the synergic effort of the RDA PDS-WG and the OpenAIRE infrastructure toward enabling a common infrastructure for exchanging data-literature links by realizing and operating the Data-Literature Interlinking (DLI) Service. The DLI Service populates and provides access to a graph of data set-literature links (at the time of writing close to five million, and growing) collected from a variety of major data centers, publishers, and research organizations.

To achieve its objectives, the Service proposes an interoperable exchange data model and format, based on which it collects and publishes links, thereby offering the opportunity to validate such common approach on real-case scenarios, with real providers and consumers. Feedback of these actors will drive continuous refinement of the both data model and exchange format, supporting the further development of the Service to become an essential part of a universal, open, cross-platform, cross-discipline solution for collecting, and sharing data set-literature links.

This realization of the DLI Service is the first technical, cross-community, and collaborative effort in the direction of establishing a common infrastructure for facilitating the exchange of data set-literature links. As a result of its operation and underlying community effort, a new activity, name Scholix, has been initiated involving the technological level stakeholders such as DataCite and CrossRef.

For construction organisations to be effective at implementing an integrated safety, health and environmental (SHE) management system, they require the right level of organisational capability. This capability includes the policies, systems and resources of the organisation. However, within the academic literature, it is unclear which organisational attributes of construction companies are important for implementing integrated SHE management. This study aims to explore the organisational attributes that determine integrated SHE management capability and their relative priorities.

The study used a literature review supported by expert verification and a subsequent three-round expert Delphi technique accompanied by applying the voting analytical hierarchy process.

The study identified 20 attributes grouped under five main thematic categories. These are strategy (the organisation’s vision and top management commitment); process (the organisation’s procedures and processes for SHE management); people (organisation’s human resources, their competence, roles, responsibilities and involvement in SHE management); resources (organisation’s physical and financial resources for SHE management) and information (SHE related documents, data, records and their communication across an organisation). While these thematic categories and the attributes within carry different weights of importance, the strategy-related attributes are the most important, followed by the people-related attributes.

The results of this study should enable construction companies and key industry stakeholders to understand construction companies’ capability to successfully implement an integrated SHE management system. Furthermore, construction companies should be able to prioritise efforts or investments to enhance their SHE management capability.

Researchers began investigating the diffusion of renewable energy technologies (RETs) in the late 1990s, and, up to today, a variety of authors have presented different approaches to understand the special characteristics of RET diffusion. However, one factor has been thus far disregarded in the research: the influence of raw material prices on RET diffusion. The dependence of a multitude of technologies on raw material prices became especially apparent in recent years due to rather sudden and volatile price movements in raw material markets. Thus, the aim of this work is to contribute to the research by providing evidence for a direct linkage between raw material price developments and RET diffusion.

A theoretical framework used in this article derives from the concept of induced diffusion. This empirical study is based on publicly available data of 18 Organisation for Economic Co-operation and Development (OECD) countries over 20 years and uses multivariate regression analysis to identify the corresponding diffusion models for selected established and emerging RETs.

Results reveal that crude oil prices play a crucial role in the diffusion of emerging RETs. In addition, a joint reflection of induced diffusion and path dependencies as the theoretical foundation of RET diffusion models might be reasonable.

This paper makes a significant contribution to the literature on induced diffusion in the field of renewable energies by providing insights from publicly available data from 18 OECD-countries. The findings are highly relevant for managers of the energy industry and policymakers in this field.

As the world struggled to come to grips with the Covid-19 pandemic, over twenty scholars, practitioners, and global leaders wrote brief essays for this curated chapter on the role of global leadership in this extreme example of a global crisis. Their thoughts span helpful theoretical breakthroughs to essential, pragmatic adaptations by companies.

The purpose of this paper is to theorise and develop seven dimensions (strategic supplier partnership, level of information sharing, quality of information sharing, customer service management, internal lean practices, postponement and total quality management) into a supply chain management (SCM) practices (SCMPs) construct and studies its causal relationship with the conceptualised constructs of supply chain performance (SCP) and manufacturing firms’ performance (MFP). The study also explores the causal relationship between SCP and MFP.

Data were collected through a survey questionnaire responded by 249 Jordanian manufacturing firms. The relationships proposed in the developed theoretical framework were represented through three hypotheses: H1 – there is a significant relationship between SCMPs and SCP; H2 – there is a significant relationship between SCMPs and MFP; and H3 – there is a significant relationship between SCP and MFP. Linear regression, ANOVA and Pearson correlation were used to test the hypotheses. The results were further validated using structural equation modelling.

The results indicate that SCMPs have a positive effect on SCP (H1), which in turn also positively affect MFP (H3). Despite this intermediary positive effect of SCMP on MFP through SCP, the study also suggests that SCMPs have a direct and positive effect on MFP (H2).

This study provides hard evidence indicating that higher levels of SCMPs can lead to enhanced supply chain and firms’ performance. It also provides SC managers of manufacturing firms with a multi-dimensional operational measure of the construct of SCMPs for assessing the comprehensiveness of the SCMPs of their firms.

This study is among the very first SCM researches conducted on the Jordanian manufacturing sector, particularly, in relation to the practices that manufacturing firms in this country need to adopt to make their supply chains a solid competitive vehicle for their development. The results have broader implications for all manufacturing companies, particularly in developing economies where the growth of manufacturing and the development of integrated supply chains are key stages in economic development.

The purpose of this paper is to investigate the factors that influence Malaysian manufacturing sector investment in accounts receivable (AR), an asset seen by many as one of the riskiest in any company’s balance sheet.

The authors test several theories, related to AR, using a cross-section of 262 listed manufacturing firms over a period of five years (2007-2011). Both fixed and random effect approaches are adopted to deal with potential heterogeneity across firms.

The results show that investment in AR in Malaysia are influenced by firm size, short-term finance, sales growth and collateral. Profit, liquidity and gross margins have no role in affecting the decision of trade credit granting to customers. The results are inconsistent with previous studies. Size and short-term finance have a negative, rather than positive, impact. Liquidity and gross margins have no, rather than positive, effect. While profit and sales growth are predicted to feature a U-shaped relationship with investment in AR, the former is insignificant while the latter is strictly increasing. The only factor found to be consistent with prior studies is collateral.

The results have two principal implications. First, policy makers should not take a holistic view of the trade credit market. Given that policy makers aim to improve liquidity and trade, they should design policies that are not only country specific but also sector specific. As is clear from our results, what holds for other countries or sectors may not necessarily be true for the Malaysian manufacturing sector. This has important implications for policy makers in emerging economies.

Investment in AR, in the Malaysian manufacturing sector, is impacted by many of the factors implied by either theory or empirical evidence. However, the main finding in this paper is that the Malaysian manufacturing sector is rather different. First, while liquidity and gross margin have been found to have a positive and significant effect on AR helping hand theory in prior studies, the results show that these two factors play no role in influencing the level of AR in the Malaysian manufacturing sector.

Unlike the experience in developed economies, firms in our sample that have access to short-term finance are less likely to grant trade credit. This suggests that the helping hand theory does not hold as far as the Malaysian manufacturing firms are concerned: firm that have better access to short-term finance in Malaysia do not use trade credit to pass on the benefit to their customers by granting them trade credit.

It is unclear why firms invest in AR given the high risks of uncollectability as well as tedious, time-consuming and costly legal process for debt recovery compared to firms from more developed economies. This paper examines the reasons business-to-business lending, through AR, is widespread in Malaysia and investigates the factors that affect this decision despite the risk involved. To our knowledge, this is the first study to date that looks at the factors that influence AR level in the Malaysian manufacturing sector.