scholarly journals Beyond Housing Preferences: Urban Structure and Actualisation of Residential Area Preferences

Urban Science ◽  
2019 ◽  
Vol 3 (1) ◽  
pp. 21 ◽  
Author(s):  
Kamyar Hasanzadeh ◽  
Marketta Kyttä ◽  
Greg Brown
Keyword(s):  
Fuzzy Model ◽  
Revealed Preference ◽  
Living Environment ◽  
Stated Preferences ◽  
Future Research ◽  
Revealed Preferences ◽  
Extensive Literature ◽  
Urban Structure ◽  
Residential Housing ◽  
Housing Preferences

The concept of residential housing preferences has been studied across multiple disciplines, with extensive literature supporting both stated and revealed preference methods. This study argues that both preference types, stated and revealed, should be assessed concurrently to achieve a more comprehensive understanding of residential housing choices. To provide evidence, this research used findings from a public participation GIS survey that identified the stated housing preferences associated with three categories of urban residents, which were called urban “tribes”. We implemented an analytical framework using fuzzy modelling to relate stated preferences with revealed preferences for the same individuals using empirical data describing the urban structure in Tampere, Finland. Following an analysis of the relationships between residents’ revealed preferences and urban structural variables, we examined the consistency of stated housing preferences with revealed preferences. The results show considerable mismatch between the stated and revealed preferences for the urban tribes that were examined i.e., the preferred housing environment was significantly different from the actual living environment. Further, the stated preferences showed disequilibrium within the current structure of the housing supply in Tampere. The findings can have important implications for housing policy making in Tampere. Further, the use of a novel fuzzy model approach demonstrated a flexible and tolerant method for working with imprecise and variable social data to capture subtle differences. Finally, this study elaborately discusses the remaining limitations and suggests how they should be addressed in future research.

A Circular Business Model for Cloud Computing Services Providers

10.31355/33 ◽  
2018 ◽  
Vol 2 ◽  
pp. 105-120
Author(s):  
Hamed Motaghi ◽  
Saeed Nosratabadi ◽  
Thabit Qasem Atobishi
Keyword(s):  
Cloud Computing ◽  
Business Model ◽  
Circular Economy ◽  
Service Providers ◽  
Sustainable Consumption ◽  
Future Research ◽  
Extensive Literature ◽  
Computing Services ◽  
Proposed Model ◽  
Cloud Computing Service

NOTE: THIS ARTICLE WAS PUBLISHED WITH THE INFORMING SCIENCE INSTITUTE. Aim/Purpose................................................................................................................................................................................................. The main objective of the current study is to develop a business model for service providers of cloud computing which is designed based on circular economy principles and can ensure the sustainable consumption. Background Even though the demand for cloud computing technology is increasing day by day in all over the world, the current the linear economy principles are incapable to ensure society development needs. To consider the benefit of the society and the vendors at the same time, the principles of circular economy can address this issue. Methodology................................................................................................................................................................................................. An extensive literature review on consumption, sustainable consumption, circular economic, business model, and cloud computing were conducted. the proposed model of Osterwalder, Pigneur and Tucci (2005) is admitted designing the circular business model. Contribution................................................................................................................................................................................................. The proposed model of the study is the contribution of this study where provides the guidelines for the cloud computing service providers to achieve both their economic profits and the society’ needs. Findings Finding reveals that if the cloud computing service providers design their business model based on the “access” principle of circular economy, they can meet their economic profits and the society’ needs at a same time. Recommendations for Practitioners.............................................................................................................................................................. It is recommended to the startup and the existing businesses to utilize the proposed model of this study to reach a sustainable development. Recommendation for Researchers................................................................................................................................................................ It proposes a new circular business model and its linkages with community building. Impact on Society............................................................................................................................................................................................ The proposed model of the study provides guidelines to the cloud computing service providers to design a business model which is able not only to meet their economic profit, but also to meet the society’s and customers’ benefits. Future Research............................................................................................................................................................................................... Future researches can build on this research model which proposed in this study to examine the limitations of this model by using empirical researches.

scholarly journals Systematic Design and Evaluation of a Citation Function Classification Scheme in Indonesian Journals

Publications ◽  
2021 ◽  
Vol 9 (3) ◽  
pp. 27
Author(s):  
Yaniasih Yaniasih ◽  
Indra Budi
Keyword(s):  
Deep Learning ◽  
Short Term Memory ◽  
Scientific Evidence ◽  
Ease Of Use ◽  
Future Research ◽  
Extensive Literature ◽  
Journal Articles ◽  
Citation Function ◽  
Compilation Process ◽  
Long Short Term Memory

Classifying citations according to function has many benefits when it comes to information retrieval tasks, scholarly communication studies, and ranking metric developments. Many citation function classification schemes have been proposed, but most of them have not been systematically designed for an extensive literature-based compilation process. Many schemes were also not evaluated properly before being used for classification experiments utilizing large datasets. This paper aimed to build and evaluate new citation function categories based upon sufficient scientific evidence. A total of 2153 citation sentences were collected from Indonesian journal articles for our dataset. To identify the new categories, a literature survey was conducted, analyses and groupings of category meanings were carried out, and then categories were selected based on the dataset’s characteristics and the purpose of the classification. The evaluation used five criteria: coherence, ease, utility, balance, and coverage. Fleiss’ kappa and automatic classification metrics using machine learning and deep learning algorithms were used to assess the criteria. These methods resulted in five citation function categories. The scheme’s coherence and ease of use were quite good, as indicated by an inter-annotator agreement value of 0.659 and a Long Short-Term Memory (LSTM) F1-score of 0.93. According to the balance and coverage criteria, the scheme still needs to be improved. This research data was limited to journals in food science published in Indonesia. Future research will involve classifying the citation function using a massive dataset collected from various scientific fields and published from some representative countries, as well as applying improved annotation schemes and deep learning methods.

120 The Experience of Housing Need Amongst Families Caring for Children with Medical Complexity: A Qualitative Study

2021 ◽  
Vol 26 (Supplement_1) ◽  
pp. e85-e88
Author(s):  
Clara Moore ◽  
Kara Grace Hounsell ◽  
Arielle Zahavi ◽  
Danielle Arje ◽  
Natalie Weiser ◽  
...  
Keyword(s):  
Qualitative Study ◽  
Future Research ◽  
Complex Care ◽  
Housing Situation ◽  
Children With Medical Complexity ◽  
Trade Off ◽  
Housing Preferences ◽  
Medical Needs ◽  
Medical Complexity ◽  
The Impact

Abstract Primary Subject area Complex Care Background Caregivers of children with medical complexity (CMC) face many financial, social and emotional stressors related to their child’s medical condition(s). Previous research has demonstrated that financial stress among this population can have an impact on their housing situation. Families of CMC may face other unique housing challenges such as disability accommodations in the home and housing space and layout. Objectives The primary aim of this study was to explore families’ perspectives and experiences of housing need, and its relationship to their child’s health status as it pertains to CMC. Design/Methods We conducted a qualitative study using semi-structured interviews to identify themes surrounding families of CMC’s experiences of housing need. Parents of CMC were recruited through purposive sampling from the Complex Care Program at a tertiary pediatric health sciences centre. Recruitment ceased when thematic saturation was reached, as determined by consensus of the research team. Interviews were recorded, transcribed verbatim, coded, and analyzed using thematic analysis. Results Twenty parents completed the interview, of whom 89% were mothers and 42% identified a non-English language as their first language. Two major themes and five subthemes (in parentheses) were identified: 1) the impact of health on housing (housing preferences, housing possibilities, housing outcome as a trade-off) and 2) the impact of housing on health (health of the caregiver, health of the child). Some parents reported that their child’s medical needs resulted in specific preferences regarding the location and layout of their home. Parents also indicated that their caregiving role often affected their income and home ownership status, which in turn, affected their housing possibilities. Thus, the housing situation (location and layout of the home) was often the result of a trade-off between the parent’s housing preferences and possibilities. Conclusion Housing is a recognized social determinant of health. We found that among CMC, health also appears to be a significant determinant of housing as families reported that the health of their child impacted their housing preferences and the options available to them (possibilities). To support the health of CMC and their families, policies targeting improved access to subsidized housing, improved sources of funding and regulations allowing families who rent to make accessibility changes are vital. Future research should investigate the impact of household income on housing need and identify interventions to support appropriate housing for CMC.

scholarly journals Linking the spare parts management with the total costs of ownership: An agenda for future research

2016 ◽  
Vol 9 (5) ◽  
pp. 991 ◽  
Author(s):  
Orlando Duran ◽  
Irene Roda ◽  
Marco Macchi
Keyword(s):  
Life Cycle ◽  
Conceptual Framework ◽  
Spare Parts ◽  
Point Of View ◽  
Management Decision ◽  
Future Research ◽  
Extensive Literature ◽  
Economic Point ◽  
Spare Parts Management ◽  
Physical Asset

Purpose: This manuscript explores the link between Spare Parts Management and Total Costs of Ownership or Life Cycle Costs (LCC).Design/methodology/approach: First, this work enumerates the different managerial decisions instances in spare parts management that are present during the life cycle of a physical asset. Second, we analyse how those decision instances could affect the TCO of a physical asset (from the economic point of view). Finally, we propose a conceptual framework for incorporating the spare parts management into a TCO model.Findings: The recent literature lacks discussions on the integration of spare parts management with the Total Costs of Ownership (TCO). Based in an extensive literature revision we can declare that the computation of costs related to spare parts management has been neglected by TCO models.Originality/value: The contribution of this paper is twofold. First, a literature review and identification of a series of spare parts management decision instances and its relationship with TCOs is presented in this paper. Second, a conceptual framework is suggested for linking those decisions instances to a total cost of ownership perspective. Some research questions and future research challenges are presented at the end of this work.

scholarly journals Elevating the Value of Urban Location: A Consumer Preference-Based Approach to Valuing Local Amenity Provision

Land ◽  
2021 ◽  
Vol 10 (11) ◽  
pp. 1226
Author(s):  
Shanaka Herath
Keyword(s):  
Model Misspecification ◽  
Market Price ◽  
Revealed Preference ◽  
Consumer Preference ◽  
Potential Contribution ◽  
Urban Structure ◽  
Planning Decisions ◽  
Urban Amenities ◽  
Amenity Values ◽  
Global Regression

Estimating the non-market monetary values of urban amenities has become commonplace in urban planning research, particularly following Rosen’s seminal article on hedonic theory in 1974. As a revealed preference method, the hedonic approach decouples the market price of a house into price components that are attributable to housing characteristics. Despite the potential contribution of this theory in a planning context, three main limitations exist in the conventional applications: (1) variable measurement issues, (2) model misspecification, and (3) the problematic common use of global regression. These flaws problematically skew our understanding of the urban structure and spatial distribution of amenities, leading to misinformed policy interventions and poor amenity planning decisions. In this article, we propose a coherent conceptual framework that addresses measurement, specification, and scale challenges to generate consistent economic estimates of local amenities. Finally, we argue that, by paying greater attention to the spatial equity of amenity values, governments can provide greater equality of opportunities in cities.

scholarly journals COMPUTER-ASSISTED COLLABORATIVE WRITING AND STUDENTS’ PERCEPTIONS OF GOOGLE DOCS AND WIKIS: A REVIEW PAPER

2020 ◽  
Vol 4 (1) ◽  
pp. 15-27
Author(s):  
Husam Masaoud Alwahoub ◽  
Mohd Nazri Latiff Azmi ◽  
Mohammad Halabieh
Keyword(s):  
Web 2.0 ◽  
Collaborative Writing ◽  
Recent Decade ◽  
Future Research ◽  
Computer Assisted ◽  
Extensive Literature ◽  
Google Docs ◽  
Teachers Perceptions ◽  
Promising Area ◽  
Future Research Directions

Computer-assisted collaborative writing has been gradually employed in L2 and FL contexts due to the introduction of Web 2.0 applications and tools (i.e., Google Docs and wikis) and its benefits in developing learners’ writing skills. Accordingly, extensive literature that dealt with computer-assisted collaborative learning and learners’ perceptions towards this activity has been condensed on shelves by time passing. Thus, a review of former studies over the recent decade is called forth aiming to ameliorate the difficulties of reaching this literature and to awaken broadened knowledge in this promising area. This paper reviewed and discussed about 40 relevant articles published from 2011 to 2019 that dealt with computer-assisted collaborative writing using Web 2.0 tools, precisely Google Docs and wikis, and learners’ perceptions towards this activity (computer-assisted collaborative writing) and tools. All the articles were selected according to specific criteria, where only a true collaborative writing peer-reviewed articles were selected. After that, two main themes were synthesized: (a) collaborative writing outcomes and (b) students’ perceptions, and specific research components in relation to each theme were further reviewed and summarized using illustrative tables. Drawing on the review of this literature, the researchers discuss pedagogical implications in terms of technology integration and writing development and address future research directions including systematically reviewing this topic with teachers’ perceptions of computer-assisted collaborative writing.

scholarly journals Monitoring of Sitting Postures With Sensor Networks in Controlled and Free-living Environments: Systematic Review

10.2196/21105 ◽  
2021 ◽  
Vol 6 (1) ◽  
pp. e21105
Author(s):  
Arpita Mallikarjuna Kappattanavar ◽  
Nico Steckhan ◽  
Jan Philipp Sachs ◽  
Harry Freitas da Cruz ◽  
Erwin Böttinger ◽  
...  
Keyword(s):  
Three Dimensional ◽  
Pressure Sensors ◽  
Ground Truth ◽  
Living Environment ◽  
Measurement Unit ◽  
Future Research ◽  
Free Living ◽  
Medium Quality ◽  
Underlying Causes ◽  
Future Work

Background A majority of employees in the industrial world spend most of their working time in a seated position. Monitoring sitting postures can provide insights into the underlying causes of occupational discomforts such as low back pain. Objective This study focuses on the technologies and algorithms used to classify sitting postures on a chair with respect to spine and limb movements. Methods A total of three electronic literature databases were surveyed to identify studies classifying sitting postures in adults. Quality appraisal was performed to extract critical details and assess biases in the shortlisted papers. Results A total of 14 papers were shortlisted from 952 papers obtained after a systematic search. The majority of the studies used pressure sensors to measure sitting postures, whereas neural networks were the most frequently used approaches for classification tasks in this context. Only 2 studies were performed in a free-living environment. Most studies presented ethical and methodological shortcomings. Moreover, the findings indicate that the strategic placement of sensors can lead to better performance and lower costs. Conclusions The included studies differed in various aspects of design and analysis. The majority of studies were rated as medium quality according to our assessment. Our study suggests that future work for posture classification can benefit from using inertial measurement unit sensors, since they make it possible to differentiate among spine movements and similar postures, considering transitional movements between postures, and using three-dimensional cameras to annotate the data for ground truth. Finally, comparing such studies is challenging, as there are no standard definitions of sitting postures that could be used for classification. In addition, this study identifies five basic sitting postures along with different combinations of limb and spine movements to help guide future research efforts.

scholarly journals Advances in Computational Intelligence of Polymer Composite Materials: Machine Learning Assisted Modeling, Analysis and Design

2021 ◽  
Author(s):  
Aanchna Sharma ◽  
Tanmoy Mukhopadhyay ◽  
Sanjay Mavinkere Rangappa ◽  
Suchart Siengchin ◽  
Vinod Kushvaha
Keyword(s):  
Machine Learning ◽  
Polymer Composites ◽  
Relevant Literature ◽  
Future Research ◽  
Extensive Literature ◽  
Feature Identification ◽  
Predictive Tool ◽  
Analysis And Design ◽  
Increasing Demand ◽  
System Properties

Abstract The superior multi-functional properties of polymer composites have made them an ideal choice for aerospace, automobile, marine, civil, and many other technologically demanding industries. The increasing demand of these composites calls for an extensive investigation of their physical, chemical and mechanical behavior under different exposure conditions. Machine learning (ML) has been recognized as a powerful predictive tool for data-driven multi-physical modeling, leading to unprecedented insights and exploration of the system properties beyond the capability of traditional computational and experimental analyses. Here we aim to abridge the findings of the large volume of relevant literature and highlight the broad spectrum potential of ML in applications like prediction, optimization, feature identification, uncertainty quantification, reliability and sensitivity analysis along with the framework of different ML algorithms concerning polymer composites. Challenges like the curse of dimensionality, overfitting, noise and mixed variable problems are discussed, including the latest advancements in ML that have the potential to be integrated in the field of polymer composites. Based on the extensive literature survey, a few recommendations on the exploitation of various ML algorithms for addressing different critical problems concerning polymer composites are provided along with insightful perspectives on the potential directions of future research.

scholarly journals Probabilistic Tsunami Hazard and Risk Analysis: A Review of Research Gaps

2021 ◽  
Vol 9 ◽  
Author(s):  
Jörn Behrens ◽  
Finn Løvholt ◽  
Fatemeh Jalayer ◽  
Stefano Lorito ◽  
Mario A. Salgado-Gálvez ◽  
...  
Keyword(s):  
Risk Analysis ◽  
Hazard Analysis ◽  
Tsunami Hazard ◽  
Future Research ◽  
Extensive Literature ◽  
Research Gaps ◽  
Earthquake Sources ◽  
Hazard And Risk ◽  
Probabilistic Tsunami Hazard Analysis ◽  
Hazard And Risk Analysis

Tsunamis are unpredictable and infrequent but potentially large impact natural disasters. To prepare, mitigate and prevent losses from tsunamis, probabilistic hazard and risk analysis methods have been developed and have proved useful. However, large gaps and uncertainties still exist and many steps in the assessment methods lack information, theoretical foundation, or commonly accepted methods. Moreover, applied methods have very different levels of maturity, from already advanced probabilistic tsunami hazard analysis for earthquake sources, to less mature probabilistic risk analysis. In this review we give an overview of the current state of probabilistic tsunami hazard and risk analysis. Identifying research gaps, we offer suggestions for future research directions. An extensive literature list allows for branching into diverse aspects of this scientific approach.

scholarly journals Literature Review of Management System Frameworks for CSR and Other Sustainability Concepts

2018 ◽  
Vol 8 (4) ◽  
pp. 22
Author(s):  
Pek Yew Liew ◽  
Christoph Luetge
Keyword(s):  
Social Responsibility ◽  
Management System ◽  
Corporate Sustainability ◽  
Iso 14001 ◽  
Organizational Level ◽  
Future Research ◽  
Extensive Literature ◽  
Iso 26000 ◽  
Management Standard ◽  
Corporate Social

This paper presents an overview and analysis of plan-do-check-act (PDCA) based management system frameworks and other similar structured frameworks that were developed for the systematic implementation and management of corporate social responsibility (CSR), corporate sustainability (CS) and sustainable development (SD). With the aim of providing a comprehensive insight to support future research on this topic, this paper focuses on uncovering the different systematic approaches that can be adopted for the implementation and management of these stakeholder concepts at the organizational level. Our extensive literature search for articles that were published between 2000 to 2017 was able to identify only nineteen relevant articles, which indicates that there is very limited research in this field of work. Our analysis of the frameworks revealed that diverse approaches were developed for CSR. Apart from the traditional management system approach that are based on ISO 9001 (quality management standard) or ISO 14001 (environmental management standard), a variety of other approaches such as frameworks that are built on ISO 26000 (social responsibility guidance standard), organizational change management theories as well as other concepts that are similar to the PDCA cycle were developed for CSR. In contrast to the approaches for CSR, the frameworks that were developed for the implementation and management of CS or SD are mainly based on ISO 14001.

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