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The purpose of this paper is to examine how the Republic of Ireland’s National Emergency Coordinating Group performed with respect to ensuring access to emergency information for deaf sign language (SL) users over the course of two emergency situations in 2017 and 2018 as a result of storms. The storms book-ended parliamentary and public debate around the recognition of the indigenous SL of Ireland, Irish Sign Language (ISL). The author explores if/how increased political awareness led to better access in 2018, and how access provision maps to best practice guidelines set out by the World Association of Sign Language Interpreters (WASLI) and the World Federation of the Deaf (WFD).

This paper provides empirical insights about the asymmetrical effort that is required of a minority linguistic community, in this instance, community of deaf ISL users and their allies, to secure provision of access to emergency information that is provided as a matter of course to the wider community of hearing English language speakers. The author draws on parliamentary records, social media and print media to document the political, societal and deaf community discourse around ISL recognition and the emergencies.

The author finds that significant effort was required of deaf people and their allies to secure access to national emergency briefings in 2017, with significant improvement evidenced in 2018 for Storm Emma and the Beast from the East, in the aftermath of the adoption of the ISL Act (December 2017). The author drew on the theory of effortful engaging, which posits that unless we have greater awareness of and pro forma consideration of SLs and deaf people, the burden of work required to ensure appropriate access and participation falls on deaf people.

There is scope for completing a 360° analysis of stakeholders engaged in the process. Further work should also include interviews with deaf community members and emergency response coordinators.

This paper identifies implications for emergency coordinating groups: provision of appropriate interpreting must be a pro forma element in the planning for delivery of any emergency information. Broadcasters must be required to ensure that interpreters are visible on screen at all times during live briefings: what is unseen is “unheard” for SL users. Work remains to ensure that deaf people have access to preparatory information in their language, and that they have ease of access to two-way emergency services. Emergency coordinating teams need to integrate the UNCRPD-mapped WASLI-WFD recommendations into their emergency strategy.

Communities depend on information for their survival in times of crisis. Communication requires comprehension and interaction. For SL users, information in an indigenous SL is a lifeline in a time of crisis. This requires emergency response teams to understand that “language” is multi-modal and embed strategies for engaging with deaf communities in all aspects of their processes, with guidance from deaf community leaders and advocates. There is also a need to consider deafblind people and deaf people who have disabilities, who are more vulnerable in crisis situations.

This is the first analysis of state provision of access to information for the Irish deaf community in an emergency setting. It is one of very few empirical analyses of how deaf communities fare in emergency contexts and the first to evaluate a state’s practice vis-à-vis UNCRPD-led guidelines on best practice issued by the WASLI/WFD. The socio-political context described represents a unique period where the Irish deaf community and ISL were central to political and media discourse because of the ISL Act and the death of two deaf brothers in tragic circumstances in Autumn 2017.

Purpose: In this chapter, I explore how American Sign Language/English interpreters came to enact an ally role with members of the American deaf community during the 1988 Deaf President Now (DPN) protest. The DPN protest, led by students at Gallaudet University in Washington, DC, was a historic moment in the deaf community's struggle for civil rights (Christiansen & Barnartt, 1995). During the events that unfolded over the week-long rebellion, students engaged in a variety of claims-making activities (Lindekilde, 2013), such as participating in media interviews and organizing rallies. To share their message with the world, the deaf protesters developed alliances with American Sign Language/English interpreters, who mediated a wide variety of protest-related activities.

Method: The data I analyze in this chapter come from (1) archival review and (2) semistructured interviews I conducted with DPN stakeholders, including interpreters and protesters.

Findings: Through these data, I explore how the protesters and interpreters came to develop shared understandings and expectations of allyship, including the roles that interpreters enacted in the protest.

Implication/Value: I frame this discussion within the context of a variety of metaphors that have been used to describe the role of signed language interpreters (Roy, 1993, 2002) and the concept of role-space (Llewellyn-Jones & Lee, 2014) to demonstrate the process of interpreters becoming allies in contentious political settings.

The main purpose is to investigate what resources young emergent bilinguals use to communicate a multimodal response to children’s literature. In particular, attention is paid to the ways students translanguage as part of the learning process.

An ethnography-in-education approach was used to capture the social and cultural aspects of literacy learning in an English-only context. A multimodal transcript analysis was applied to video-recorded data as a method for examining semiotic resources and modes of learning.

The results revealed that students used technology, paper-based resources and peers to construct meaning relative to books. Experimentation or play with the affordances of the tablet computer served as avenues to determine the agentive selection of resources. As students wrestled with constructing meaning, they gathered multiple perspectives from peers and children’s literature to involve symbols and representations in their texts. Signs, multiple language forms and meaning came together for the social shaping of situated perspectives.

This study addresses the call for educators to engage in multiliterate, multimodal practices with young learners in the contexts of classrooms. It provides insight into the need to create multilingual learning spaces where translanguaging freely occurs and the meaningful ways early childhood learners use technology. To fully understand what emergent bilinguals know and can do, they must be afforded a variety of semiotic resources at school.

The development of more sustainable logistics calls for innovative thinking. In order to accelerate the development in the field, there is a need for increased understanding of the process behind successful implementation of sustainable logistics innovations (SLI). The purpose of this paper is to explore the SLI process, in order to identify critical factors, challenges as well as actors involved.

A multiple-case study in six Swedish retailers and logistics service providers (LSPs), successful in SLI implementations, was conducted. Both within-case and cross-case analyses were applied.

The SLI process consists of five phases. The positive relationship between formalisation and SLI success is supported. Critical activities and challenges not known from literature were found in each phase. Examples are the use of logistics and customer KPIs, quickness, developing simple concepts, using a sustainability business case template and selecting where to test SLIs. Some phases are involving many internal and external actors, while others involve few internal actors. Customers are not particularly involved, and retailers involve their LSP suppliers.

This study addresses the lack of empirical research in logistics innovation and has bridged the gap of innovation studies in other companies than in LSPs. Furthermore it has combined two developing areas, sustainable innovation and logistics innovation, into SLI. A number of critical activities and challenges, and complex patterns for actors’ involvement in the SLI process phases are explored as insights from particular cases; these results could be analytically generalised to theory.

The practical implications lie in guiding managers who wish to improve sustainability and innovativeness in logistics and, consequently, business success. Knowledge from successful companies about which phases to go through in which sequence, which challenges that can be expected and who to include in the SLI process could imply that more companies focus on SLI.

Knowledge on how to include sustainability in a clear innovation process, e.g., by making strong business cases, should imply an accelerated development of sustainable logistics in society.

This study addresses the lack of empirically-based research in logistics innovation and expands the concept to retailers.

This chapter provides a descriptive review of recent intervention research practices intended to improve the literacy skills of students with emotional or behavioral disabilities (EBD). A systematic search procedure identified 21 investigations that had been published in the past five years. These studies are described within the categories of peer-mediated literacy interventions, reading interventions, and writing interventions. Generally, it has been found that such practices as peer mediation, direct instruction (DI), cognitive text mapping, and writing strategy instruction including the Self-Regulated Strategy Development (SRSD) model have led to substantial improvement in the literacy skills of students with EBD. These strategies were apparently successful because they served generally to focus student attention and to provide cognitive models for executing literacy tasks. Implications for practice and future research are provided.

Prior research suggests that perceived levels of a subordinate auditor’s competence affects audit reviewers’ judgments. We extend this line of research by investigating the effects of perceived client competence (hereafter, ClientComp) and its interaction with subordinate auditor’s competence (hereafter, AuditorComp) on audit reviewers’ judgments. Using data from highly experienced CPA audit managers, senior managers, and partners, we find a significant main effect for AuditorComp, but not for ClientComp. We also find that when AuditorComp is high, levels of ClientComp do not affect audit reviewers’ judgments. However, we cannot support the hypothesis that when AuditorComp is low ClientComp will significantly affect audit reviewers’ judgments. These mixed results suggest that in the post-SOX (2002) era regulatory environment, audit reviewers may be exercising heightened professional skepticism about ClientComp whenever they consider clients’ assertions.

The Internet offers companies many opportunities to implement new business models, called e(electronic)‐business in short, and to reinforce their competitiveness in the market. It is currently suggested that business‐to‐business commerce, which is one of the dominant segments in e‐business, is going to develop around e‐marketplaces. However, the new millennium has witnessed the rise and fall of many “dot.com” firms and now both the companies and the investors are extremely cautious about the performance and effectiveness of the e‐marketplaces. To get more benefit from this digital marketplace, suggests the use of fuzzy logic based on multi‐criteria evaluation as a superior means of improving the efficiency of the decision making for the e‐marketplace selection under uncertain conditions. This evaluation approach, in which both fuzzy analytic hierarchy process and fuzzy Delphi methodologies are employed, enables one to deal with the uncertainty and vagueness from subjective perception and the experiences of humans in a group decision process and ensures a more convincing and effective decision making. Also shows the application of the approach on a real life case.

Since the handling of environmentally sensitive products requires close monitoring under prescribed conditions throughout the supply chain, it is essential to manage specific supply chain risks, i.e. maintaining good environmental conditions, and ensuring occupational safety in the cold environment. The purpose of this paper is to propose an Internet of Things (IoT)-based risk monitoring system (IoTRMS) for controlling product quality and occupational safety risks in cold chains. Real-time product monitoring and risk assessment in personal occupational safety can be then effectively established throughout the entire cold chain.

In the design of IoTRMS, there are three major components for risk monitoring in cold chains, namely: wireless sensor network; cloud database services; and fuzzy logic approach. The wireless sensor network is deployed to collect ambient environmental conditions automatically, and the collected information is then managed and applied to a product quality degradation model in the cloud database. The fuzzy logic approach is applied in evaluating the cold-associated occupational safety risk of the different cold chain parties considering specific personal health status. To examine the performance of the proposed system, a cold chain service provider is selected for conducting a comparative analysis before and after applying the IoTRMS.

The real-time environmental monitoring ensures that the products handled within the desired conditions, namely temperature, humidity and lighting intensity so that any violation of the handling requirements is visible among all cold chain parties. In addition, for cold warehouses and rooms in different cold chain facilities, the personal occupational safety risk assessment is established by considering the surrounding environment and the operators’ personal health status. The frequency of occupational safety risks occurring, including cold-related accidents and injuries, can be greatly reduced. In addition, worker satisfaction and operational efficiency are improved. Therefore, it provides a solid foundation for assessing and identifying product quality and occupational safety risks in cold chain activities.

The cold chain is developed for managing environmentally sensitive products in the right conditions. Most studies found that the risks in cold chain are related to the fluctuation of environmental conditions, resulting in poor product quality and negative influences on consumer health. In addition, there is a lack of occupational safety risk consideration for those who work in cold environments. Therefore, this paper proposes IoTRMS to contribute the area of risk monitoring by means of the IoT application and artificial intelligence techniques. The risk assessment and identification can be effectively established, resulting in secure product quality and appropriate occupational safety management.

Water pipes degrade over time for a variety of pipe-related, soil-related, operational, and environmental factors. Hence, municipalities are necessitated to implement effective maintenance and rehabilitation strategies for water pipes based on reliable deterioration models and cost-effective inspection programs. In the light of foregoing, the paramount objective of this research study is to develop condition assessment and deterioration prediction models for saltwater pipes in Hong Kong.

As a perquisite to the development of condition assessment models, spherical fuzzy analytic hierarchy process (SFAHP) is harnessed to analyze the relative importance weights of deterioration factors. Afterward, the relative importance weights of deterioration factors coupled with their effective values are leveraged using the measurement of alternatives and ranking according to the compromise solution (MARCOS) algorithm to analyze the performance condition of water pipes. A condition rating system is then designed counting on the generalized entropy-based probabilistic fuzzy C means (GEPFCM) algorithm. A set of fourth order multiple regression functions are constructed to capture the degradation trends in condition of pipelines overtime covering their disparate characteristics.

Analytical results demonstrated that the top five influential deterioration factors comprise age, material, traffic, soil corrosivity and material. In addition, it was derived that developed deterioration models accomplished correlation coefficient, mean absolute error and root mean squared error of 0.8, 1.33 and 1.39, respectively.

It can be argued that generated deterioration models can assist municipalities in formulating accurate and cost-effective maintenance, repair and rehabilitation programs.