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The author investigates realized comoments that overcome the drawback of conventional ones and derive the following findings. First, the author proves that (even generalized) geometric implied lower-order comoments yield neither geometric realized third comoment nor fourth moment. This is in contrast to previous studies that produce geometric realized third moment and arithmetic realized higher-order moments through lower-order implied moments. Second, arithmetic realized joint cumulants are obtained through complete Bell polynomials of lower-order joint cumulants. This study’s realized measures are unbiased estimators and they can, therefore, overcome the drawbacks of conventional realized measures.

Nowadays businesses tend to compete with rivals by improving capability to meet customer demands. One of the key to improve logistics efficiency of a firm is to select appropriate supplier. In the past, to select the most suitable supplier, most people evaluated performance by using average performance or variance from historical data but did not mentioned skewness. In other words, skewness impact on supplier performance is ignored by researchers and buyers. In fact, supplier with greatest average performance does not confirm to be the most suitable one because of uncertainties which make its performance skew either to the left or right, i.e., lower or higher than expectation. Therefore, this empirical study aims to discover and determine the important role of skewness on supplier selection problem. After identifying influential criteria on supplier selection, we analyze skewness effect on suppliers’ performance in each criterion by surveying real data of suppliers’ performances. Skewness effect can be rated in 3 levels; no effect, moderately effect, and highly effect. The results show that, there is only one criterion with no skewness effect, which is price. Criteria which have high skewed performance, for both of medium-sized and large-sized buyers, are lead time, product quality and reliability, and on-time delivery. Also, skewness has higher effect on suppliers’ performance of medium-sized buyers than large-sized buyers. The conclusion surprisingly shows that, skewness is the best index to distinguish between good and bad suppliers, while mean is the worst index.

This study aims to examine the factors affecting brand image and consumer satisfaction towards Islamic travel package in Malaysia.

This study used a cross-sectional design and quantitative method in examining the factors affecting the brand image and consumer satisfaction on Islamic travel package. This study has chosen Google form as a platform to collect the data.

The findings revealed that product quality, Islamic physical attribute and Islamic belief have a significant positive effect on brand image and consumer satisfaction. The findings confirmed that product quality, Islamic physical attribute and Islamic beliefs are the crucial tools for brand image that leads to the satisfaction of Muslim consumers on the Islamic travel package.

This paper addresses understudied aspects of brand image and consumer satisfaction towards Islamic travel package in Malaysia. It provided useful insights into the product quality, Islamic physical attribute and Islamic belief on brand image and consumer satisfaction towards Islamic travel packages. Tourism companies should improve and update their package based on the religious perspective to attract Muslim consumers.

Climate change poses diverse, often fundamental, challenges to livelihoods of island peoples. The purpose of this study is to demonstrate that these challenges must be better understood before effective and sustainable adaptation is possible.

Understanding past livelihood impacts from climate change can help design and operationalize future interventions. In addition, globalization has had uneven effects on island countries/jurisdictions, producing situations especially in archipelagoes where there are significant differences between core and peripheral communities. This approach overcomes the problems that have characterized many recent interventions for climate-change adaptation in island contexts which have resulted in uneven and at best only marginal livelihood improvements in preparedness for future climate change.

Island contexts have a range of unique vulnerability and resilience characteristics that help explain recent and proposed responses to climate change. These include the sensitivity of coastal fringes to climate-environmental changes: and in island societies, the comparatively high degrees of social coherence, closeness to nature and spirituality that are uncommon in western contexts.

Enhanced understanding of island environmental and social contexts, as well as insights from past climate impacts and peripherality, all contribute to more effective and sustainable future interventions for adaptation.

The need for more effective and sustainable adaptation in island contexts is becoming ever more exigent as the pace of twenty-first-century climate change increases.

While most language departments of the university offer service-learning (SL) subjects based on language teaching, such as “Teaching Chinese as a Second Language in Local Schools” and “Serving the Community through Teaching English,” this paper aims to argue that teaching students to teach language(s) is yet to be the best strategy to serve the service recipients.

SL is widely understood as an experiential learning pedagogy that integrates academic focus, reflection and community service and is shown to be impactful. In Hong Kong, the first university that has made SL a graduation requirement is the Hong Kong Polytechnic University (the University). Considering this, new SL courses have proliferated over the past decade. Adopting a narrative inquiry approach, this paper examines personal narratives from a new SL subject aiming to raise awareness of refugees in Hong Kong. The data includes students’ reflective journals, co-created personal narratives and podcasts and semi-structured interviews.

This paper finds that crafting and recording narratives of shared experiences deepens cultural understanding, cultivates empathy and facilitates language learning in a genuine setting.

Ultimately, this paper advocates a well-designed SL that combines language, content and technology as a powerful, transformational experience for both college students and service recipients.

This paper focuses on a brand new SL course, “Storytelling for Understanding: Refugee Children in Hong Kong,” offered in Semester 1, 2022–2023. The subject was developed by the two authors from a language division affiliated to the University. The deliverables were podcast recordings, co-authored and co-edited by the students and the children.

Mapping and Geographic Information Systems (GIS) are widely used in disaster research and practice. While, in some cases, these practices incorporate methods inspired by critical cartography and critical GIS, they rarely engage with the theoretical discussions that animate those fields.

In this commentary, the author considers three such discussions, and draws out their relevance for disaster studies: the turn towards processual cartographies, political economy analysis of datafication and calls for theorising computing of and from the South.

The review highlights how these discussions can contribute to the work of scholars engaged in mapping for disaster risk management and research. First, it can counter the taken-for-granted nature of disaster-related maps, and encourage debate about how such maps are produced, used and circulated. Second, it can foster a reflexive attitude towards the urge to quantify and map disasters. Third, it can help to rethink the role of digital technologies with respect to ongoing conversations on the need to decolonise disaster studies.

The paper aims to familiarise disaster studies scholars with literature that has received relatively little attention in this field and, by doing so, contribute to a repoliticisation of disaster-related maps.

This work aims at proposing a novel Internet of Things (IoT)-based and cloud-assisted monitoring architecture for smart manufacturing systems able to evaluate their overall status and detect eventual anomalies occurring into the production. A novel artificial intelligence (AI) based technique, able to identify the specific anomalous event and the related risk classification for possible intervention, is hence proposed.

The proposed solution is a five-layer scalable and modular platform in Industry 5.0 perspective, where the crucial layer is the Cloud Cyber one. This embeds a novel anomaly detection solution, designed by leveraging control charts, autoencoders (AE) long short-term memory (LSTM) and Fuzzy Inference System (FIS). The proper combination of these methods allows, not only detecting the products defects, but also recognizing their causalities.

The proposed architecture, experimentally validated on a manufacturing system involved into the production of a solar thermal high-vacuum flat panel, provides to human operators information about anomalous events, where they occur, and crucial information about their risk levels.

Thanks to the abnormal risk panel; human operators and business managers are able, not only of remotely visualizing the real-time status of each production parameter, but also to properly face with the eventual anomalous events, only when necessary. This is especially relevant in an emergency situation, such as the COVID-19 pandemic.

The monitoring platform is one of the first attempts in leading modern manufacturing systems toward the Industry 5.0 concept. Indeed, it combines human strengths, IoT technology on machines, cloud-based solutions with AI and zero detect manufacturing strategies in a unified framework so to detect causalities in complex dynamic systems by enabling the possibility of products’ waste avoidance.

This paper investigates how sustainability requirements modify supply strategies at different levels in the food industry companies. The paper integrates single supply decisions into firm-level supply strategy and views supply strategy as one coherent strategy in which the decision-making is based on the values and principles of a firm.

The paper captures the decade of change and studies the renewal of supply strategy by utilising two qualitative data sets with a ten years of difference. The data contain 41 interviews from a retailer and 5 of its food supplier companies.

Results confirm that a decade ago only minor attention was channelled towards sustainability whereas today sustainability is a key driver behind supply decisions and supply strategies because firms need to respond to sustainability requirements and challenges. The study presents a framework for analysing different levels (firm, category and supply market levels) of changes and sustainability requirements faced by food companies and their supply strategies.

Previously, sustainability has rarely been connected to firm-level supply strategy. This study presents the supply strategy elements that were important for Finnish food industry companies over a decade ago and matches these elements to the needs of today’s firms. As a result, the study incorporates the concept of sustainability with the supply strategy frameworks.

The purpose of this paper is to assess the effect of financial derivatives use on different exposures by comparing domestic firms, domestic multinational corporations (MNCs) and affiliates of foreign MNCs using a unique hand-collected data set of derivatives activities from 881 non-financial firms in eight East Asian countries over the period of 2003-2013.

In this paper, the authors apply a two-stage approach. In the first stage, exposures to country risks, exchange rate and interest rate risks are estimated by using the market model. In the second stage, potential effects of firms’ derivatives use on multifaceted exposures are investigated by carrying out pooled regression model, and panel data regressions with random effect specifications.

The authors provide novel evidence that financial hedging of domestic firms and domestic MNCs reduces exposure to home country risks by 10.91 and 14.42 percent per 1 percent increase in notional derivative holdings, respectively, while affiliates of foreign MNCs fail to mitigate exposure to host country risks. The use of foreign currency and interest rate derivatives by domestic firms and domestic MNCs is effective in alleviating such firms’ exposures to varied degrees, while foreign affiliates’ use of derivatives can only lower interest rate exposures.

The primary theoretical contribution of this study is applying the market model to estimate exposures to home and host country risks. Regarding empirical contributions, the authors provide strong evidence that the use of financial derivatives by domestic firms and domestic MNCs significantly contributes to a decline in exposure to home country risks, and evidence the outperformance of domestic MNCs vis-à-vis domestic firms and foreign affiliates.

Competition among higher education institutions has pushed universities to expand their competitive advantages. Based on the assumption that the core functions of universities are academic, understanding the teaching–learning process with the help of student evaluation of teaching (SET) would seem to be a logical solution in increasing competitiveness. The paper aims to discuss these issues.

The current paper presents a narrative literature review examining how SETs work within the concept of service marketing, focusing specifically on the search, experience, and credence qualities of the provider. A review of the various factors that affect the collection of SETs is also included.

Relevant findings show the influence of students’ prior expectations on SET ratings. Therefore, teachers are advised to establish a psychological contract with the students at the start of the semester. Such an agreement should be negotiated, setting out the potential benefits of undertaking the course and a clear definition of acceptable performance within the class. Moreover, connections should be made between courses and subjects in order to provide an overall view of the entire program together with future career pathways.

Given the complex factors affecting SETs and the antecedents involved, there appears to be no single perfect tool to adequately reflect what is happening in the classroom. As different SETs may be needed for different courses and subjects, options such as faculty self-evaluation and peer-evaluation might be considered to augment current SETs.