Search results

This study aims to apply for the first time in literature a new multi-objective sensor selection and placement optimization methodology based on the multi-objective Lichtenberg algorithm and test the sensors' configuration found in a delamination identification case study.

This work aims to study the damage identification in an aircraft wing using the Lichtenberg and multi-objective Lichtenberg algorithms. The former is used to identify damages, while the last is associated with feature selection techniques to perform the first sensor placement optimization (SPO) methodology with variable sensor number. It is applied aiming for the largest amount of information about using the most used modal metrics in the literature and the smallest sensor number at the same time.

The proposed method was not only able to find a sensor configuration for each sensor number and modal metric but also found one that had full accuracy in identifying delamination location and severity considering triaxial modal displacements and minimal sensor number for all wing sections.

This study demonstrates for the first time in the literature how the most used modal metrics vary with the sensor number for an aircraft wing using a new multi-objective sensor selection and placement optimization methodology based on the multi-objective Lichtenberg algorithm.

This paper aims to explain how companies in the region of Arab countries respond to the institutional diffusion of a new communication genre like corporate social responsibility (CSR) reports.

Analysis of the features, content and language of CSR reports published by listed companies in the region, to classify the genres of these reports and infer results about ways of companies’ interaction with newly institutionalized genre.

Three distinct genres are identified: “sustainability reports genre,” “professional CSR report genre” and “light CSR report genre.” When companies interact with institutionally diffused genres, they either adopt them and re-enforce their distinctiveness, mix them with elements from other genres so their distinctiveness will be diluted, or produce the old and established genres under the new name so the new genre will lose its distinctiveness.

The proposed classification of CSR report genres and ways of companies’ interaction with new genres are original and open new horizons for research in social and environmental accounting and corporate communication fields.

This research serves to determine causal configurations of corporate social responsibility (CSR) conditions that best influences grassroots football club stakeholders to meet a sponsor's goals through promotional activity.

The research uses a case study of the Essex Alliance League, a local amateur football league in England. Firstly, semi-structured interviews were held with multiple stakeholders to understand the ecosystem of grassroots football. From here, further semi-structured interviews were held with club sponsors to identify the conditions of CSR. This allowed the research to then issue a survey from which results were analysed and discussed using fuzzy set Qualitative Comparative Analysis (fsQCA).

The ecosystem of grassroots football is formed by a myriad of stakeholders operating at a national level, all the way to more local governance structures within which the business-club relationship exists. Sponsors identified three main conditions of CSR: shared values, self-congruity, and happiness. However, following fsQCA, two pathways were found: (1) presence of shared values, and (2) presence of happiness with the absence of self-congruity.

For practitioners, adaptations can be made for clubs to attract and maintain sponsorship as businesses seek to use grassroots sport as a channel for their own CSR objectives. To attract long term sponsorship, club managers are recommended to maintain long-term relationships with business owners especially in relation to personal values, fit, and happiness. As such, the responsibility of the club to ensure its stakeholders engage in promotional activity on behalf of their sponsor will help in maximising the financial value over multiple seasons.

Where fertile ground for academic analysis in grassroots football is present, this research investigates CSR activity at this level of football, where most research is more concerned with professional levels of the game. Furthermore, this research reaches into the sport ecosystem through an understanding of co-created values between organisations in this exchange of shared values to meet common objectives.

The primary objective of this paper is to show a systematic and methodological approach for the digitalization of critical clinical pathways (CPs) within the healthcare domain.

The methodology entails the integration of service design (SD) and action research (AR) methodologies, characterized by iterative phases that systematically alternate between action and reflective processes, fostering cycles of change and learning. Within this framework, stakeholders are engaged through semi-structured interviews, while the existing and envisioned processes are delineated and represented using BPMN 2.0. These methodological steps emphasize the development of an autonomous, patient-centric web application alongside the implementation of an adaptable and patient-oriented scheduling system. Also, business processes simulation is employed to measure key performance indicators of processes and test for potential improvements. This method is implemented in the context of the CP addressing transient loss of consciousness (TLOC), within a publicly funded hospital setting.

The methodology integrating SD and AR enables the detection of pivotal bottlenecks within diagnostic CPs and proposes optimal corrective measures to ensure uninterrupted patient care, all the while advancing the digitalization of diagnostic CP management. This study contributes to theoretical discussions by emphasizing the criticality of process optimization, the transformative potential of digitalization in healthcare and the paramount importance of user-centric design principles, and offers valuable insights into healthcare management implications.

The study’s relevance lies in its ability to enhance healthcare practices without necessitating disruptive and resource-intensive process overhauls. This pragmatic approach aligns with the imperative for healthcare organizations to improve their operations efficiently and cost-effectively, making the study’s findings relevant.

This study aims to examine the blockchain landscape in supply chain management by drawing insights from academic and industry literature. It identifies the key drivers, categorizes the products involved and highlights the business values achieved by early adopters of blockchain technology within the supply chain domain. Additionally, it explores fingerprinting techniques to establish a robust connection between physical products and the blockchain ledger.

The authors combined the interpretive sensemaking systematic literature review to offer insights into how organizations interpreted their business challenges and adopted blockchain technology in their specific supply chain context; content analysis (using Leximancer automated text mining software) for concept mapping visualization, facilitating the identification of key themes, trends and relationships, and qualitative thematic analysis (NVivo) for data organization, coding and enhancing the depth and efficiency of analysis.

The findings highlight the transformative potential of blockchain technology and offer valuable insights into its implementation in optimizing supply chain operations. Furthermore, it emphasizes the importance of product provenance information to consumers, with blockchain technology offering certainty and increasing customer loyalty toward brands that prioritize transparency.

This research has several limitations that should be acknowledged. First, there is a possibility that some relevant investigations may have been missed or omitted, which could impact the findings. In addition, the limited availability of literature on blockchain adoption in supply chains may restrict the scope of the conclusions. The evolving nature of blockchain adoption in supply chains also poses a limitation. As the technology is in its infancy, the authors expect that a rapidly emerging body of literature will provide more extensive evidence-based general conclusions in the future. Another limitation is the lack of information contrasting academic and industry research, which could have provided more balanced insights into the technology’s advancement. The authors attributed this limitation to the narrow collaborations between academia and industry in the field of blockchain for supply chain management.

Practitioners recognize the potential of blockchain in addressing industry-specific challenges, such as ensuring transparency and data provenance. Understanding the benefits achieved by early adopters can serve as a starting point for companies considering blockchain adoption. Blockchain technology can verify product origin, enable truthful certifications and comply with established standards, reinforcing trust among stakeholders and customers. Thus, implementing blockchain solutions can enhance brand reputation and consumer confidence by ensuring product authenticity and quality. Based on the results, companies can align their strategies and initiatives with their needs and expectations.

In essence, the integration of blockchain technology within supply chain provenance initiatives not only influences economic aspects but also brings substantial social impacts by reinforcing consumer trust, encouraging sustainable and ethical practices, combating product counterfeiting, empowering stakeholders and contributing to a more responsible, transparent and progressive socioeconomic environment.

This study consolidates current knowledge on blockchain’s capacity and identifies the specific drivers and business values associated with early blockchain adoption in supply chain provenance. Furthermore, it underscores the critical role of product fingerprinting techniques in supporting blockchain for supply chain provenance, facilitating more robust and efficient supply chain operations.