Circular business strategies and supply chain finance in the Aruba waste sector : a case study of a small island jurisdiction

This paper focuses on possibilities and obstacles for a circular economy in the waste management sector in Aruba. The authors describe the Aruban economy and the consequences of its SIDS characteristics. The article defines concepts in the field of circular economy and presents a conceptual model for research in this area. Based on multimethod research, the paper argues that small and medium-sized firms (SMEs) in the waste sector in Aruba determine their financial needs partly on the opportunities offered by the international market and price developments. Financing often takes place from own resources or via a local bank. No examples of circular chain financing were identified. Chain cooperation takes place with partners within the existing holding or with international partners, whereby performance and hedging contracts are concluded to guarantee quality and delivery and to mitigate business risks such as price fluctuations on the world market. During the research, it became obvious that limitations resulting from Aruba’s small scale and ‘islandness’ – such as the limited goods flow, limited quantities of feed waste materials and financing facilities offered by the local banking sector, as well as insufficiently stimulating legislation and regulations, coupled with faltering knowledge circulation and social awareness – seriously hamper the development of circular entrepreneurism in Aruba. The article offers policy recommendations to mitigate the bottlenecks for sustainable development in Aruba.peer-reviewe

Reuse remix recycle: repurposing archaeological digital data

Preservation of digital data is predicated on the expectation of its reuse, yet that expectation has never been examined within archaeology. While we have extensive digital archives equipped to share data, evidence of reuse seems paradoxically limited. Most archaeological discussions have focused on data management and preservation and on disciplinary practices surrounding archiving and sharing data. This article addresses the reuse side of the data equation through a series of linked questions: What is the evidence for reuse, what constitutes reuse, what are the motivations for reuse, and what makes some data more suitable for reuse than others? It concludes by posing a series of questions aimed at better understanding our digital engagement with archaeological data

A study of existing Ontologies in the IoT-domain

Several domains have adopted the increasing use of IoT-based devices to collect sensor data for generating abstractions and perceptions of the real world. This sensor data is multi-modal and heterogeneous in nature. This heterogeneity induces interoperability issues while developing cross-domain applications, thereby restricting the possibility of reusing sensor data to develop new applications. As a solution to this, semantic approaches have been proposed in the literature to tackle problems related to interoperability of sensor data. Several ontologies have been proposed to handle different aspects of IoT-based sensor data collection, ranging from discovering the IoT sensors for data collection to applying reasoning on the collected sensor data for drawing inferences. In this paper, we survey these existing semantic ontologies to provide an overview of the recent developments in this field. We highlight the fundamental ontological concepts (e.g., sensor-capabilities and context-awareness) required for an IoT-based application, and survey the existing ontologies which include these concepts. Based on our study, we also identify the shortcomings of currently available ontologies, which serves as a stepping stone to state the need for a common unified ontology for the IoT domain.Comment: Submitted to Elsevier JWS SI on Web semantics for the Internet/Web of Thing

Surfacing the deep data of taxonomy

Taxonomic databases are perpetuating approaches to citing literature that may have been appropriate before the Internet, often being little more than digitised 5 × 3 index cards. Typically the original taxonomic literature is either not cited, or is represented in the form of a (typically abbreviated) text string. Hence much of the “deep data” of taxonomy, such as the original descriptions, revisions, and nomenclatural actions are largely hidden from all but the most resourceful users. At the same time there are burgeoning efforts to digitise the scientific literature, and much of this newly available content has been assigned globally unique identifiers such as Digital Object Identifiers (DOIs), which are also the identifier of choice for most modern publications. This represents an opportunity for taxonomic databases to engage with digitisation efforts. Mapping the taxonomic literature on to globally unique identifiers can be time consuming, but need be done only once. Furthermore, if we reuse existing identifiers, rather than mint our own, we can start to build the links between the diverse data that are needed to support the kinds of inference which biodiversity informatics aspires to support. Until this practice becomes widespread, the taxonomic literature will remain balkanized, and much of the knowledge that it contains will linger in obscurity

Coordinative Entities: Forms of Organizing in Data Intensive Science

Scientific collaboration is a long-standing subject of CSCW scholarship that typically focuses on the development and use of computing systems to facilitate research. The research presented in this article investigates the sociality of science by identifying and describing particular, common forms of organizing that researchers in four different scientific realms employ to conduct work in both local contexts and as part of distributed, global projects. This paper introduces five prototypical forms of organizing we categorize as coordinative entities: the Principal Group, Intermittent Exchange, Sustained Aggregation, Federation, and Facility Organization. Coordinative entities as a categorization help specify, articulate, compare, and trace overlapping and evolving arrangements scientists use to facilitate data intensive research. We use this typology to unpack complexities of data intensive scientific collaboration in four cases, showing how scientists invoke different coordinative entities across three types of research activities: data collection, processing, and analysis. Our contribution scrutinizes the sociality of scientific work to illustrate how these actors engage in relational work within and among diverse, dispersed forms of organizing across project, funding, and disciplinary boundaries

Share Your Closet? An exploratory study of collaborative consumption business models and consumers in fashion industry

Sustainability has become one of the key challenges in the fashion industry, which has been criticized for intense resource use, severe environmental impacts and wasteful business model. There have been a lot of new attempts and initiatives to promote sustainable fashion consumption. Collaborative consumption has been highlighted as one of the alternatives to conventional mass consumption. The idea of clothes sharing business model is both relevant as a business opportunity based on the idea of collaborative consumption and as a means to encourage more efficient use of clothing that will potentially contribute to reducing the resource flows of textiles in society and consequently environmental impacts. However, little is known about how different types of clothes sharing systems operate as a business model and a sustainability strategy. This paper explores in what way may Collaborative consumption business models of clothing contribute to reducing resource flows of textiles in the society. This study employs a comparative case study methodology of two clothes sharing organizations. Specifically, the author uses in-depth interviews and survey data to examine the business models and consumer perceptions that reflect environmental implication of clothing sharing organizations. Key findings lead to conclusions that the two studied clothes sharing business models are more sustainable in both value proposition and value creation and delivery system; however, they experience difficulties in value capture. As for consumers of clothing sharing service, collaborative consumption model has played a certain role in changing their purchasing behavior, environmental awareness and other practices. However, at present collaborative consumption of clothes remains a small-scale phenomenon with challenges reaching the mainstream market. The substan when translating and interpretingtial effect of reducing resources flow of textile remains unjustified

Beyond “Data Thrifting”: An Investigation of Factors Influencing Research Data Reuse In the Social Sciences

The development of e-Research infrastructure has enabled data to be shared and accessed more openly. Policy mandates for data sharing have contributed to the increasing availability of research data through data repositories, which create favorable conditions for the reuse of data for purposes not always anticipated by original collectors. Despite the current efforts to promote transparency and reproducibility in science, data reuse cannot be assumed, nor merely considered a “thrifting” activity where scientists shop around in data repositories considering only the ease of access to data. This research was driven by three main questions: 1) What are the factors that influence scientists’ research data reuse? 2) To what degree do these factors influence scientists’ research data reuse? and 3) To what extent do scientists reuse research data? Following a sequential mixed-method approach, this study sought to provide a more nuanced view of the underlying factors that affect social scientists’ intentions to reuse data, as well as the impact of these factors on the actual reuse of data. Findings from a preliminary small-scale exploratory study with 13 social scientists produced 25 factors that were found to influence their perceptions and experiences, including both their unsuccessful and successful attempts to reuse data. These factors were grouped into six theoretical variables: perceived benefits, perceived risks, perceived effort, social influence, facilitating conditions, and perceived reusability. The variables were articulated in a conceptual model drawing upon the Unified Theory of Acceptance and Use of Technology (UTAUT) in order to examining social scientists’ intentions and behaviors towards the reuse of research data. The proposed hierarchical component model and the research hypotheses were validated through a survey, which was distributed to 4,500 social scientists randomly selected from the Pivot/Community of Science (CoS) database. A total of 743 social scientists participated in the survey, of which 564 cases were included in the analysis. The survey data were analyzed using the Partial Least Square Structural Equation Modeling (PLS-SEM) technique, and supplemented by ad-hoc group comparison analyses. Survey results demonstrated that social scientists’ data reuse intention and reuse behavior were indeed influenced by different factors beyond frugality. More specifically, the more practical and social benefits social scientists perceive from reusing research data, the more likely they intended to reuse data. Similarly, peer and disciplinary influence had a positive effect on social scientists’ intention to reuse data collected/produced by others. On the contrary, the construct perceived risks was found to negatively influence social scientists’ intention to reuse existing research data collected by others. Facilitating conditions and intention to reuse were found to positively correlate to actual data reuse behavior. Perceived effort was found not statistically significant, indicating that reusing data from others did not involve as much effort as collecting/producing primary data. Perceived reusability failed to be measured, due to the lack of convergent validity. Ad-hoc group comparison tests found that intention and data reuse behavior depended on sub-disciplines’ traditions and the methodological approach social scientists followed. The findings of this research provide an in-depth understanding about the reuse of research data in the context of open science, and provide a collection of factors that influence social scientists’ decisions to reuse research data collected by others. Additionally, they update our knowledge of data reuse behavior and contribute to the body of data reuse literature by establishing a conceptual model that can be validated by future research. In terms of practice, it offers recommendations for policy makers, data scientists, and stakeholders from data repositories on defining strategies and initiatives to leverage data reuse and make publicly available data more actionable

Key drivers for the adoption of circular economy practices in the tourist accommodation sector

Purpose – This article assesses the degree of adoption of the circular economy model in the tourist accommodation sector. Additionally, the study aims to understand whether the type of accommodation, size and year of construction or remodelling have an impact on the adoption of circular economy practices. Design/methodology/approach – The study is based on a survey administered to directors and owners of tourist accommodation facilities in Portugal. The questionnaire was developed based on an extensive literature review of circular economy practices in the accommodation sector. Findings – Accommodation companies currently operate in a linear economy model and are still in the early stages of transitioning to a more circular economic model. Among the most commonly implemented practices are those that represent expenditure savings for accommodation companies. The findings also suggest a growing awareness and commitment to sustainability and circular economy practices in the tourist accommodation sector, particularly in more recently constructed or renovated accommodation. Originality/value – To the best of the authors’ knowledge, this study is the first to evaluate the accommodation characteristics that impact the adoption of sustainability and circular economy practices in the tourist accommodation sector. It contributes to the literature by providing primary quantitative data supporting the adoption of such practices. Keywords Sustainability practices, Accommodation sector, Circular economy practices, Pairwise comparisons, Tourist accommodation characteristics Paper type Research paperinfo:eu-repo/semantics/publishedVersio

WETWALL - an innovative design concept for the treatment of wastewater at an urban scale

Rising temperatures, increasing food demand and scarcity of water and land resources highlight the importance of promoting the sustainable expansion of agriculture to our urban environment, while preserving water resources. Treating urban wastewaters, such as greywater and hydroponic wastewater, may represent a strategic point for the implementation of urban farming, ensuring food security, reducing pressures on water resources and promoting climate change mitigation. The WETWALL design concept proposes a unique ecotechnology for secondary wastewater treatment at an urban scale, which brings the novelty of a modular living wall hybrid flow. This concept is based on the integration of two established nature-based solutions/ecomimetic designs: constructed wetlands and a modular living walls. First presented is an overview about the state of the art in the scope of living walls treating wastewater, in order to identify the main design aspects related to the performance of such systems, which mainly concerns the removal of nitrates and phosphates. Second, the WETWALL design concept is presented. A scheme regarding the selection of the main components, such as plants and substrate, is proposed, and potential structure developments and operation strategies are discussed. In addition, considering the scope of integrating the circular economy with the design process, potential interactions between this technology and the urban environment are discussed. The main goal of this article is to substantiate the potential of the WETWALL design concept as an innovative wastewater treatment at an urban scale.Biggest thanks to the National Council for Scientific and Technological Development – Brazil (CNPQ), for their financial support (doctoral fellowship). The authors also would like to thank the UNESCO Chair on Sustainability of the Polytechnic University of Catalonia (Spain), the Aarhus University (Denmark) and the research groups GREA (2014 SGR 123), DIOPMA (2014 SGR 1543) and GICITED (2014 SGR 1298)