Making Competitive Cities in the Light of the Meta-SWOT Tool: A Case Study of Tehran,Iran

ABSTRACT

While there is a growing body of scholarship on regional competitiveness, little attention has been paid to the planning methods that can pursue this objective. Public planners are mainly relying on conventional methods that have come under increasing criticism. This study aims to introduce Meta-SWOT as a novel planning tool in urban and regional studies. Meta-SWOT provides competitive and realistic strategies for planners. It systematically tries to present strategies rooted in internal resources and capabilities while acknowledging the challenges posed by the external environment. Nevertheless, it has several limitations that should be considered when applying to urban and regional planning.     

Ross B., Segal C., (2021) Making the Ask: The Artful Science of High-Value Fundraising. Practical Inspiration Publishing

VOLUNTAS: International Journal of Voluntary and Nonprofit Organizations -     

Limiting Tail Dependence Copulas

The limiting lower-tail dependence copula (LLTDC) is defined as the copula of random variables which are right-truncated at thresholds tending to their left endpoints. This article shows LLTDCs are truncation-invariant and belong to the Ahmadi-Clayton family. Accordingly, it follows that limiting upper-tail dependence copulas are members of the survival Ahmadi-Clayton family.     

On simultaneous confidence intervals based on rank-estimates with application to analysis of gene expression data

Abstract

Inferential methods based on ranks present robust and powerful alternative methodology for testing and estimation. In this article, two objectives are followed. First, develop a general method of simultaneous confidence intervals based on the rank estimates of the parameters of a general linear model and derive the asymptotic distribution of the pivotal quantity. Second, extend the method to high dimensional data such as gene expression data for which the usual large sample approximation does not apply. It is common in practice to use the asymptotic distribution to make inference for small samples. The empirical investigation in this article shows that for methods based on the rank-estimates, this approach does not produce a viable inference and should be avoided. A method based on the bootstrap is outlined and it is shown to provide a reliable and accurate method of constructing simultaneous confidence intervals based on rank estimates. In particular it is shown that commonly applied methods of normal or t-approximation are not satisfactory, particularly for large-scale inferences. Methods based on ranks are uniquely suitable for analysis of microarray gene expression data since they often involve large scale inferences based on small samples containing a large number of outliers and violate the assumption of normality. A real microarray data is analyzed using the rank-estimate simultaneous confidence intervals. Viability of the proposed method is assessed through a Monte Carlo simulation study under varied assumptions.     

Integration of process planning and production planning and control in cellular manufacturing

Organisations willing to succeed in global competition have to integrate their internal and external processes. This especially includes planning and production control (PPC) processes. Optimised allocation of the production resources and quick response to demand changes result in lower cost and improvement of production performance. Practitioners and researchers have been trying to achieve these goals using production planning techniques. Although the results are significant, it seems necessary to integrate production operations in order to improve the production performance. The goals, information and decisions taken in production planning and control and process planning are often very different and difficult to integrate in Cellular Manufacturing (CM) environments. Designing an efficient PPC system and integrating it with process planning in a cellular environment is of the same importance. The following paper proposes first a comprehensive framework of integrated process planning and production planning and control in CM. Then, with respect to this framework and utilising the domain knowledge in the area of CM systems, an integrated model based on Integrated Definition Modeling Language is developed. The application of the models has been considered as a case study for a production system in electronics and telecommunication sector in a plant in Iran. The validity and completeness of the proposed model is tested by a panel of experts in the areas of production planning and control in CM environments.     

Identifying Social Indicators for Sustainability Assessment of CCU Technologies: A Modified Multi-criteria Decision Making

Social Indicators Research - This paper analyses the trend and changes in Sri Lanka’s multidimensional poverty before the ethnic war in 2007, the transition through 2009 and after the war in...     

When parents use drugs: key findings from qualitative research on parenting and children in Iran

This paper reports on the finding of a grounded theory study on drug dependency and parenting in Iran. This study is qualitative in nature; data were obtained through semi‐structured interviews. The grounded theory method was used to guide the analysis. Interviews with 41 opium‐ and heroin‐dependent parents selected from a treatment centre in Rasht, Iran provided detailed information on the impact of drug dependency on parenting. The study focused on drug dependency and parenting and explored the links between them in order to understand the impact of drug dependency on parental duties and responsibilities. The findings showed that parental drug dependency affects various aspects of parenting, including children’s material needs and basic requirements; parent–child relationships; parent–child communication; and the disciplinary strategies of parents. The results showed that children’s material needs and basic requirements may be overshadowed by parents’ drug dependency. It was also discovered that abuse of children by drug‐dependent parents was manifested in three major forms. This study also found that the bonds within families of drug‐dependent parents tended to weaken and that control over children almost disappeared in many cases. Intervention and prevention programmes should be offered to the children of drug‐dependent parents.     

Bounding the total domination subdivision number of a graph in terms of its order

The total domination subdivision number \(\mathrm{sd}_{\gamma _{t}}(G)\) of a graph G is the minimum number of edges that must be subdivided (each edge in G can be subdivided at most once) in order to increase the total domination number. In this paper we prove that \(\mathrm{sd}_{\gamma_{t}}(G)\leq \lfloor\frac{2n}{3}\rfloor\) for any simple connected graph G of order n≥3 other than K ₄. We also determine all simple connected graphs G with \(\mathrm{sd}_{\gamma_{t}}(G)=\lfloor\frac{2n}{3}\rfloor\).     

The Most Important Skills an Urban Planner Needs In a Developing Country; The Case of Iran*

Differences in the context of developed vs. developing countries require different kinds of urban planning skills in each group. This paper intends to figure out the most important skills an urban planner should have in a developing country. A total of 341 questionnaires were filled by professionals, instructors, students, and graduates. The result shows that team work, research method and data collection, and technical skills are the most important skills at the undergraduate level, in Iran, while problem definition, analytical skills, and oral presentation are the most important ones at the graduate level. Managerial skills, at neither level, show any significance.     

Enabling sustainable energy futures: factors influencing green supply chain collaboration

Abstract

To explore the relationship between sustainability strategies and future energy needs, supply chains need to reduce their CO2 emissions through developing their green credentials and improving performance. Knowledge management (KM) is an enabler to support collaboration efforts. The SCM and KM areas have largely focused on improving organisational performance. While the latter has yielded successful outcomes in different sectors, there is still a scarcity of research on identifying influential factors highlighting those aspects which may enable green supply chain collaboration (GrSCC), thus leading to sustainable energy futures and carbon-efficient production. This paper examines the role of KM in facilitating GrSCC. Through the identification of key factors extrapolated from the literature, a model for implementing GrSCC using a futures-based perspective is proposed. This paper inductively demonstrates the relationship between identified GrSCC factors through fuzzy cognitive mapping technique. Findings support a futures-based perspective that enhances understanding and refines forward-looking strategies for GrSCC.