Introducing a Conceptual Framework for Spatial Decision SIM

2019 ◽  
pp. 138-155 ◽  
Author(s):  
Ahmad M. A. Toimah ◽  
Samy M. Z. Afifi
Keyword(s):  
Conceptual Framework ◽  
Integrated Modeling ◽  
Decision Makers ◽  
Data Sources ◽  
Free Access ◽  
Economic Man ◽  
Development Scenarios ◽  
Property Price ◽  
Access Data ◽  
Living Cost

Planning is a time-sensitive process with spatial characteristics as its core. It is effective to formulate spatially-related decisions on an informative background to maximize benefits and minimize risks. Not only decision makers who affect the space, but also users and owners interact with it, affect the related decisions. Thus, it is healthful to widen participation. This chapter introduces a conceptual framework for the Spatial Decision Simulator “SD-SIM.” This work aims to reach a platform that supports spatial decisions made by various stakeholders to provide a capability for integrated modeling of socio-economic, man-made, and natural environmental impacts. It contains four components as a logical target for expressing the evolution of spatial issues and reflecting them into a simulator. These four components are Districts Sub-System, Property Price and Living Cost Simulator, Interventions Sub-System, and Development Scenarios Sub-System. The SD-SIM depends on free-access data sources. Through its sub-systems, the platform integrates different analytical methods and tools.

Introducing a Conceptual Framework for Spatial Decision SIM

2021 ◽  
pp. 796-813
Author(s):  
Ahmad M. A. Toimah ◽  
Samy M. Z. Afifi
Keyword(s):  
Conceptual Framework ◽  
Integrated Modeling ◽  
Decision Makers ◽  
Data Sources ◽  
Free Access ◽  
Economic Man ◽  
Development Scenarios ◽  
Property Price ◽  
Access Data ◽  
Living Cost

Planning is a time-sensitive process with spatial characteristics as its core. It is effective to formulate spatially-related decisions on an informative background to maximize benefits and minimize risks. Not only decision makers who affect the space, but also users and owners interact with it, affect the related decisions. Thus, it is healthful to widen participation. This chapter introduces a conceptual framework for the Spatial Decision Simulator “SD-SIM.” This work aims to reach a platform that supports spatial decisions made by various stakeholders to provide a capability for integrated modeling of socio-economic, man-made, and natural environmental impacts. It contains four components as a logical target for expressing the evolution of spatial issues and reflecting them into a simulator. These four components are Districts Sub-System, Property Price and Living Cost Simulator, Interventions Sub-System, and Development Scenarios Sub-System. The SD-SIM depends on free-access data sources. Through its sub-systems, the platform integrates different analytical methods and tools.

Sustainability balanced scorecard architecture and environmental performance outcomes: a systematic review

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Suaad Jassem ◽  
Zarina Zakaria ◽  
Anna Che Azmi
Keyword(s):  
Conceptual Framework ◽  
Balanced Scorecard ◽  
Environmental Performance ◽  
Performance Outcomes ◽  
Decision Makers ◽  
Future Research ◽  
Double Blind ◽  
Holistic Model ◽  
Content Type ◽  
The Relationship

PurposeThis study aims to assess the current state of research on the use of sustainability balanced scorecards (SBSCs), as they relate to environmental performance-related outcomes. It also seeks to present a conceptual framework proposing relationships between SBSC and environmental performance.Design/methodology/approachThis paper conducts a systematic literature review of articles published in double-blind peer-reviewed journals that are listed on Scopus and/or Web of Science databases.FindingsThe first part of the paper reveals that two architectures of SBSC appear to be dominant in the literature (SBSC-4 where sustainability parameters are integrated with the four perspectives of the balanced scorecard and SBSC-5 where sustainability is shown as an additional standalone fifth perspective). The next part of the paper presents a conceptual model relating SBSC as decision-making tools to environmental performance outcomes. The paper also indicates that SBSC knowledge mediates the above relationships. Furthermore, based on the theory of expert competence, the presence of experts possibly moderates the relationship between SBSC architecture and environmental performance outcomes.Research limitations/implicationsThe literature indicates a lack of consensus on establishing a clear linkage on the relationship between SBSC architecture and environmental performance outcomes. As a result, a holistic conceptual framework where SBSC knowledge acts as a mediator and presence of experts as a moderator may be able to provide a more consistent relationship between SBSC architecture and environmental performance outcomes.Practical implicationsThe conceptual framework proposed provides factors to be considered by decision makers, for effective outcomes when aiming to achieve environmental stewardship objectives.Social implicationsEnvironmental performance by business organisations have come under close scrutiny of stakeholders. As a result, the holistic model proposed in the current study may pave the path for decision-makers to achieve superior environmental outcomes, leading to greater satisfaction of stakeholders such as the communities that are impacted by the business operations of an organisation.Originality/valueThis is the first paper to propose a model for future research regarding the link between SBSC and environmental performance outcomes – with expert managers acting as moderators and SBSC knowledge acting as a mediator.

Impact of Innovative Capital on the Global Performance of the European Union

2021 ◽  
pp. 90-124
Author(s):  
Cristina Raluca Gh. Popescu
Keyword(s):  
The Other ◽  
Free Access ◽  
The European Union ◽  
Dynamic Component ◽  
Successful Model ◽  
Global Performance ◽  
Potential Factors ◽  
And Performance ◽  
The One ◽  
Access Data

With the main objective of determining the essential factors that incorporate or enhance innovative capital, the present study, based, on the one hand, on the evaluation of the literature, allowed identifying ten potential factors and centered, on the other hand, on the analysis represented by the linear regression facilitated displaying the interdependencies between these factors and performance, thus determining the overall meaning and intensity of their contribution. In order to identify general and essential trends, to eliminate the cyclical influences of innovative capital, the present study was conducted on the basis of public and free access data contained by Eurostat, the transparency and accessibility of information being very important criteria in defining a simple and successful model, applicable for assessing the contribution of intellectual capital, in general, and its most dynamic component of innovative capital to increasing the performance of organizations.

Digital Leadership

2020 ◽  
Vol 2 (1) ◽  
pp. 55-69
Author(s):  
Simon Hensellek
Keyword(s):  
Conceptual Framework ◽  
Digital Technologies ◽  
Technical Skills ◽  
Digital Transformation ◽  
Decision Makers ◽  
Future Research ◽  
Strategic Vision

Advances in digitalization place completely new demands on both political and economic leaders as well as on society as a whole. In addition to technical skills as a basis for dealing with and understanding digital technologies, digitalization demands that relevant decision-makers have a digital mindset so that they can recognize and correctly assess the opportunities and challenges associated with digitalization. Against this backdrop, this article presents a conceptual framework for digital leadership and explains the motives as well as the opportunities and challenges associated with it. It also shows how the critical capabilities of a digital leader contributes to the realization of their strategic vision of successful digitalization. The article concludes by discussing whether and how digital leadership can support successful digital transformation in the economy and society, and it points out possible fields for future research.

Much discussed, little conceptualized: supply chain volatility

2018 ◽  
Vol 48 (8) ◽  
pp. 866-886 ◽  
Author(s):  
Benjamin Nitsche ◽  
Christian F. Durach
Keyword(s):  
Supply Chain ◽  
Conceptual Framework ◽  
Q Methodology ◽  
Decision Makers ◽  
Synthesis Process ◽  
Future Research ◽  
Content Type ◽  
Moderating Variables ◽  
Meta Level ◽  
Practical Implications

Purpose A conceptual framework of supply chain volatility (SCV) is developed to help researchers and practitioners converge their discussions and understandings on this vital phenomenon. Sources, dimensions and moderators of SCV are investigated and a conceptual framework is proposed. The paper aims to discuss these issues. Design/methodology/approach Data triangulation was performed through reviewing 2,789 peer-reviewed articles and conducting a group exercise with 23 practitioners. Consequently, 364 sources were identified. Through a structured synthesis process that built on the Q-methodology with multiple academics, a framework of meta-level sources, dimensions and moderators of SCV was developed. An additional on-site meeting with 17 practitioners was conducted aiming at delineating the dimensions by their effect on SCV. Findings The authors propose 20 meta-level sources that contribute to five distinct dimensions of SCV, proposing behavior of customers and decision makers as contextual moderating variables. A classification scheme consisting of three descriptive SCV-affecting characteristics is proposed to delineate the dimension’s effect on SCV: relative deviating impact, repetitiveness and influenceability. Results are summarized in 15 propositions. Research limitations/implications The paper extends knowledge on SCV and provides a coherent conceptualization of the phenomenon for future research. The proposed framework demands quantitative testing to derive more reliable conclusions. Practical implications The framework aims at reducing the gap between research and practice. It helps managers to understand researchers’ discussions and how to derive expedient implications from them. Originality/value It is the first study that systematically synthesizes widely spread literature in this field to derive a conceptual framework that seeks to explain SCV in a holistic way.

Factors Affecting the Adoption of E-Marketing by Decision Makers in SMEs

2020 ◽  
Vol 16 (1) ◽  
pp. 1-27
Author(s):  
Mohammad Kasem Alrousan ◽  
Ahmad Samed Al-Adwan ◽  
Amro Al-Madadha ◽  
Mohammad Hamdi Al Khasawneh
Keyword(s):  
Logistic Regression ◽  
Conceptual Framework ◽  
Diffusion Of Innovation ◽  
External Pressure ◽  
Decision Makers ◽  
Government Support ◽  
Management Support ◽  
Factors Affecting ◽  
Top Management Support ◽  
It Knowledge

This study examines the factors that influence decision-makers to adopt e-marketing in small- and medium-sized enterprises (SMEs) in Jordan. There is currently no comprehensive conceptual framework that explains e-marketing adoption in SMEs. Therefore, this study develops a conceptual framework based on the diffusion of innovation (DOI) and technology-organization-environment (TOE) theories. The conceptual framework is composed of four contexts: technological, organizational, managerial, and environmental, and hypothesizes eleven factors significantly influencing e-marketing adoption in SMEs. A self-administrated questionnaire survey was conducted with 362 SMEs in Jordan. Logistic regression was used to test the relevant hypotheses. The obtained results show that relative advantages, complexity, IT expertise, top management support, manager's IT knowledge and external pressure have a significant impact on e-marketing adoption. However, compatibility, cost, firm size, manager innovativeness, and government support do not show any association with e-marketing adoption.

Beyond Reproductive Isolation: Demographic Controls on the Speciation Process

2019 ◽  
Vol 50 (1) ◽  
pp. 75-95 ◽  
Author(s):  
Michael G. Harvey ◽  
Sonal Singhal ◽  
Daniel L. Rabosky
Keyword(s):  
Reproductive Isolation ◽  
Conceptual Framework ◽  
Spatial Dimension ◽  
Data Sources ◽  
Demographic Information ◽  
Population Isolation ◽  
Comparative Framework ◽  
General Importance ◽  
Demographic Processes ◽  
Key Steps

Studies of speciation typically investigate the evolution of reproductive isolation between populations, but several other processes can serve as key steps limiting the formation of species. In particular, the probability of successful speciation can be influenced by factors that affect the frequency with which population isolates form as well as their persistence through time. We suggest that population isolation and persistence have an inherently spatial dimension that can be profitably studied using a conceptual framework drawn from metapopulation ecology. We discuss models of speciation that incorporate demographic processes and highlight the need for a broader application of phylogenetic comparative approaches to evaluate the general importance of population isolation, persistence, and reproductive isolation in speciation. We review diverse and nontraditional data sources that can be leveraged to study isolation and persistence in a comparative framework. This incorporation of spatial demographic information facilitates the integration of perspectives on speciation across disciplines and timescales.

scholarly journals Estimation and Mapping of Forest Structure Parameters from Open Access Satellite Images: Development of a Generic Method with a Study Case on Coniferous Plantation

2019 ◽  
Vol 11 (11) ◽  
pp. 1275 ◽  
Author(s):  
David Morin ◽  
Milena Planells ◽  
Dominique Guyon ◽  
Ludovic Villard ◽  
Stéphane Mermoz ◽  
...  
Keyword(s):  
Feature Selection ◽  
Open Access ◽  
Forest Structure ◽  
Data Sources ◽  
Machine Learning Techniques ◽  
Structure Parameters ◽  
Alos Palsar ◽  
Open Access Data ◽  
Coniferous Plantation ◽  
Access Data

Temperate forests are under climatic and economic pressures. Public bodies, NGOs and the wood industry are looking for accurate, current and affordable data driven solutions to intensify wood production while maintaining or improving long term sustainability of the production, biodiversity, and carbon sequestration. Free tools and open access data have already been exploited to produce accurate quantitative forest parameters maps suitable for policy and operational purposes. These efforts have relied on different data sources, tools, and methods that are tailored for specific forest types and climatic conditions. We hypothesized we could build on these efforts in order to produce a generic method suitable to perform as well or better in a larger range of settings. In this study we focus on building a generic approach to create forest parameters maps and confirm its performance on a test site: a maritime pine (Pinus pinaster) forest located in south west of France. We investigated and assessed options related with the integration of multiple data sources (SAR L- and C-band, optical indexes and spatial texture indexes from Sentinel-1, Sentinel-2 and ALOS-PALSAR-2), feature extraction, feature selection and machine learning techniques. On our test case, we found that the combination of multiple open access data sources has synergistic benefits on the forest parameters estimates. The sensibility analysis shows that all the data participate to the improvements, that reach up to 13.7% when compared to single source estimates. Accuracy of the estimates is as follows: aboveground biomass (AGB) 28% relative RMSE, basal area (BA) 27%, diameter at breast height (DBH) 20%, age 17%, tree density 24%, and height 13%. Forward feature selection and SVR provided the best estimates. Future work will focus on validating this generic approach in different settings. It may prove beneficial to package the method, the tools, and the integration of open access data in order to make spatially accurate and regularly updated forest structure parameters maps effortlessly available to national bodies and forest organizations.

scholarly journals The use and reporting of airline passenger data for infectious disease modelling: a systematic review

2019 ◽  
Vol 24 (31) ◽  
Author(s):  
Margaux Marie Isabelle Meslé ◽  
Ian Melvyn Hall ◽  
Robert Matthew Christley ◽  
Steve Leach ◽  
Jonathan Michael Read
Keyword(s):  
Infectious Disease ◽  
Systematic Review ◽  
Airline Industry ◽  
Web Of Science ◽  
Data Sources ◽  
Health Policies ◽  
Public Health Policies ◽  
Airline Passenger ◽  
Modelling Studies ◽  
Access Data

Background A variety of airline passenger data sources are used for modelling the international spread of infectious diseases. Questions exist regarding the suitability and validity of these sources. Aim We conducted a systematic review to identify the sources of airline passenger data used for these purposes and to assess validation of the data and reproducibility of the methodology. Methods Articles matching our search criteria and describing a model of the international spread of human infectious disease, parameterised with airline passenger data, were identified. Information regarding type and source of airline passenger data used was collated and the studies’ reproducibility assessed. Results We identified 136 articles. The majority (n = 96) sourced data primarily used by the airline industry. Governmental data sources were used in 30 studies and data published by individual airports in four studies. Validation of passenger data was conducted in only seven studies. No study was found to be fully reproducible, although eight were partially reproducible. Limitations By limiting the articles to international spread, articles focussed on within-country transmission even if they used relevant data sources were excluded. Authors were not contacted to clarify their methods. Searches were limited to articles in PubMed, Web of Science and Scopus. Conclusion We recommend greater efforts to assess validity and biases of airline passenger data used for modelling studies, particularly when model outputs are to inform national and international public health policies. We also recommend improving reporting standards and more detailed studies on biases in commercial and open-access data to assess their reproducibility.

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