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Article
Publication date: 22 May 2019

Adrian Magdaş

The purpose of this paper is to study the coupled fixed point problem and the coupled best proximity problem for single-valued and multi-valued contraction type operators…

Abstract

The purpose of this paper is to study the coupled fixed point problem and the coupled best proximity problem for single-valued and multi-valued contraction type operators defined on cyclic representations of the space. The approach is based on fixed point results for appropriate operators generated by the initial problems.

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Book part
Publication date: 24 May 2007

Frederic Carluer

“It should also be noted that the objective of convergence and equal distribution, including across under-performing areas, can hinder efforts to generate growth

Abstract

“It should also be noted that the objective of convergence and equal distribution, including across under-performing areas, can hinder efforts to generate growth. Contrariwise, the objective of competitiveness can exacerbate regional and social inequalities, by targeting efforts on zones of excellence where projects achieve greater returns (dynamic major cities, higher levels of general education, the most advanced projects, infrastructures with the heaviest traffic, and so on). If cohesion policy and the Lisbon Strategy come into conflict, it must be borne in mind that the former, for the moment, is founded on a rather more solid legal foundation than the latter” European Commission (2005, p. 9)Adaptation of Cohesion Policy to the Enlarged Europe and the Lisbon and Gothenburg Objectives.

Details

Managing Conflict in Economic Convergence of Regions in Greater Europe
Type: Book
ISBN: 978-1-84950-451-5

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Article
Publication date: 14 April 2014

Valentina Franzoni and Alfredo Milani

In this work, a new general framework is proposed to guide navigation over a collaborative concept network, in order to discover paths between concepts. Finding semantic…

Abstract

Purpose

In this work, a new general framework is proposed to guide navigation over a collaborative concept network, in order to discover paths between concepts. Finding semantic chains between concepts over a semantic network is an issue of great interest for many applications, such as explanation generation and query expansion. Collaborative concept networks over the web tend to have features such as large dimensions, high connectivity degree, dynamically evolution over the time, which represent special challenges for efficient graph search methods, since they result in huge memory requirements, high branching factors, unknown dimensions and high cost for accessing nodes. The paper aims to discuss these issues.

Design/methodology/approach

The proposed framework is based on the novel notion of heuristic semantic walk (HSW). In the HSW framework, a semantic proximity measure among concepts, reflecting the collective knowledge embedded in search engines or other statistical sources, is used as a heuristic in order to guide the search in the collaborative network. Different search strategies, information sources and proximity measures, can be used to adapt HSW to the collaborative semantic network under consideration.

Findings

Experiments held on the Wikipedia network and Bing search engine on a range of different semantic measures show that the proposed HSW approach with weighted randomized walk strategy outperforms state-of-the-art search methods.

Originality/value

To the best of the authors' knowledge, the proposed HSW model is the first approach which uses search engine-based proximity measures as heuristic for semantic search.

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Article
Publication date: 26 October 2020

Jie Zhu, Jing Yang, Shaoning Di, Jiazhu Zheng and Leying Zhang

The spatial and non-spatial attributes are the two important characteristics of a spatial point, which belong to the two different attribute domains in many Geographic…

Abstract

Purpose

The spatial and non-spatial attributes are the two important characteristics of a spatial point, which belong to the two different attribute domains in many Geographic Information Systems applications. The dual clustering algorithms take into account both spatial and non-spatial attributes, where a cluster has not only high proximity in spatial domain but also high similarity in non-spatial domain. In a geographical dataset, traditional dual spatial clustering algorithms discover homogeneous spatially adjacent clusters suffering from the between-cluster inhomogeneity where those spatial points are described in non-spatial domain. To overcome this limitation, a novel dual-domain clustering algorithm (DDCA) is proposed by considering both spatial proximity and attribute similarity with the presence of inhomogeneity.

Design/methodology/approach

In this algorithm, Delaunay triangulation with edge length constraints is first employed to construct spatial proximity relationships amongst objects. Then, a clustering strategy based on statistical change detection is designed to obtain clusters with similar attributes.

Findings

The effectiveness and practicability of the proposed algorithm are illustrated by experiments on both simulated datasets and real spatial events. It is found that the proposed algorithm can adaptively and accurately detect clusters with spatial proximity and similar non-spatial attributes under the consideration of inhomogeneity.

Originality/value

Traditional dual spatial clustering algorithms discover homogeneous spatially adjacent clusters suffering from the between-cluster inhomogeneity where those spatial points are described in non-spatial domain. The research here is a contribution to developing a dual spatial clustering method considering both spatial proximity and attribute similarity with the presence of inhomogeneity. The detection of these clusters is useful to understand the local patterns of geographical phenomena, such as land use classification, spatial patterns research and big geo-data analysis.

Details

Data Technologies and Applications, vol. 54 no. 5
Type: Research Article
ISSN: 2514-9288

Keywords

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Article
Publication date: 1 April 1994

George Válas

Until recently there were very few publications dealing with comparison of different CDROM information retrieval software packages (Richards & Robinson 1993). The few…

Abstract

Until recently there were very few publications dealing with comparison of different CDROM information retrieval software packages (Richards & Robinson 1993). The few exceptions (e.g. Harry & Oppenheim 1993; Jacsó 1991; McFaul 1992; Tian‐Zhu 1991; Zink 1991) mostly deal only with the principles of such comparisons, not with actual comparisons, and mostly only with user interfaces, not with the software as a whole. They usually give collections of rules — how to rank the CDROM publications, how to give ‘award marks’ to them — but this usually characterises CDROM publications and databases, not the software itself. Moreover, the performance factors, the properties most important for professional searchers, are usually completely missing from these collections of rules.

Details

Online and CD-Rom Review, vol. 18 no. 4
Type: Research Article
ISSN: 1353-2642

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Article
Publication date: 29 March 2013

Muhammad Awais Azam and Jonathan Loo

The aim of the research work presented in this paper is to investigate a mechanism that can recognise high level activities (for example, going for a walk, travelling on…

Abstract

Purpose

The aim of the research work presented in this paper is to investigate a mechanism that can recognise high level activities (for example, going for a walk, travelling on the bus, doing evening activity, etc.) and behaviour of low entropy people (people with regular daily life routines, e.g. elderly people with dementia, patients with regular routines) in order to help them improve their health related daily life activities by using wireless proximity data (e.g. Bluetooth, Wi‐Fi).

Design/methodology/approach

The paper adopted a tiered approach to recognise activities and behaviour. Higher level activities are divided into sub‐activities and tasks. Separating the tasks from the raw wireless proximity data is achieved by designing task separator (TASE) algorithm. TASE takes wireless proximity data as an input and separates it into different tasks. These detected tasks and the high level daily activity plans that are made in a planning language Asbru, are then fed into the activity recogniser that compares the detected tasks with the plans and recognises the high level activities that the user is performing.

Findings

The paper provides an insight to how only wireless proximity data can be utilised to recognise high level activities and behaviour of individuals. A number of scenarios and experiments are designed to prove the validity of the proposed methodology.

Research limitations/implications

This paper focussed on relatively low entropy individuals with regular routines and behavioural patterns which can be improved by increasing the level of entropies in behavioural routines.

Practical implications

The paper includes implications for the utilisation in health care environments for elderly people and physically impaired individuals.

Originality/value

This paper provides a detailed and original study of algorithms and techniques that can be used to recognise high level activities and behaviour of individuals by using only wireless proximity data.

Details

International Journal of Pervasive Computing and Communications, vol. 9 no. 1
Type: Research Article
ISSN: 1742-7371

Keywords

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Article
Publication date: 1 April 2003

Georgios I. Zekos

Aim of the present monograph is the economic analysis of the role of MNEs regarding globalisation and digital economy and in parallel there is a reference and examination…

Abstract

Aim of the present monograph is the economic analysis of the role of MNEs regarding globalisation and digital economy and in parallel there is a reference and examination of some legal aspects concerning MNEs, cyberspace and e‐commerce as the means of expression of the digital economy. The whole effort of the author is focused on the examination of various aspects of MNEs and their impact upon globalisation and vice versa and how and if we are moving towards a global digital economy.

Details

Managerial Law, vol. 45 no. 1/2
Type: Research Article
ISSN: 0309-0558

Keywords

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Article
Publication date: 16 October 2019

Vasco Eiriz

Local networks of small- and medium-sized enterprises (SMEs) are founded both on collaborative and competitive inter-organizational relationships within the same network…

Abstract

Purpose

Local networks of small- and medium-sized enterprises (SMEs) are founded both on collaborative and competitive inter-organizational relationships within the same network characterised by spatial proximity between firms. This paper aims to propose an original analytical framework to understand how spatial proximity between firms within local networks influences strategy of SMEs.

Design/methodology/approach

Theories and the existing knowledge were used to develop a preliminary conceptual framework. This preliminary framework was then developed as data collection and analysis were carried out. That is, in the more advanced stages of the research, both the literature and data allowed the design of a more specific analytical framework with the development of theoretical propositions. The data supporting the findings was derived from extensive content analysis of secondary documents from manufacturers, channel agents, industry organisations, public agencies and statistical sources. These data were also used as background briefing for 52 in-depth interviews with 36 senior managers within the sector.

Findings

An extensive qualitative research carried out in two major local networks of footwear production in Portugal shows that spatial proximity influences the following major variables of SME strategy: offer specialization, market specialization, competitive behaviour and collaborative behaviour. This paper examines the strong subcontracting relationships among manufacturers within each local network, discusses the competitive and collaborative behaviour of firms within their local networks of subcontracting and explains the nature of interaction between them contributing for a better understanding on the impact of spatial proximity on strategy.

Practical implications

Some management implications can be drawn from this research at the level of the network and of the firm, although both levels are profoundly intertwined. The paper discusses both these implications.

Originality/value

This research clarifies the relationship between spatial proximity and strategy of SMEs immersed in local networks. In particular, the findings show that, in the context of local networks of footwear production, SME strategy is influenced by spatial proximity between firms in the following characteristics of strategy: offer specialization, market specialization, competitive behaviour and collaborative behaviour. As it was discussed and empirically supported, spatial proximity between firms favour resource mobility, firms' interaction and reduction of transaction costs, which, in turn, impact strategy.

Details

Journal of Business & Industrial Marketing, vol. 35 no. 2
Type: Research Article
ISSN: 0885-8624

Keywords

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Article
Publication date: 5 August 2014

Olivier Mamavi, Haithem Nagati, Frederick T. Wehrle and Gilles Pache

The purpose of this paper is to study the impact of spatial proximity on supplier selection in the French public sector. While French public procurement legislation…

Abstract

Purpose

The purpose of this paper is to study the impact of spatial proximity on supplier selection in the French public sector. While French public procurement legislation forbids consideration of supplier location in the procurement process, public contractors may still rely on spatial proximity for complex transactions necessitating mutual adjustments with suppliers.

Design/methodology/approach

Using French Official Journals (BOAMP), the authors compiled 565,557 transactions completed on three public procurement markets between 6,182 contractors and 26,570 suppliers, over a period of six years (between 2006 and 2011). The authors conducted a two-level hierarchical linear auto-regression analysis and a feature evaluation analysis for all transactions.

Findings

The paper finds significant variation between the transactions on different markets: a negative effect of spatial proximity on the number of contract notices in the public market and a positive effect of spatial proximity on the number of notices in the services and supplies markets. The difference lies in the levels of mutual adjustment required to optimally manage the relationship between public contractor and supplier.

Research limitations/implications

The research is based on an econometric analysis conducted uniquely in the French context, which calls into question the external validity of the results obtained. The study also rests on segmentation into three aggregate markets, which might be considered too general.

Originality/value

Rather than analyze public contractors’ perceptions of the importance of the criterion of spatial proximity, the paper examines 565,557 actual transactions. The results point to the emergence of a new type of relationship with certain suppliers, which should lead public contractors to integrate relationship management competencies, in addition to legal and economic competencies, in the organization of calls for tenders.

Details

International Journal of Public Sector Management, vol. 27 no. 6
Type: Research Article
ISSN: 0951-3558

Keywords

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Article
Publication date: 16 November 2018

Michael J. McCord, Sean MacIntyre, Paul Bidanset, Daniel Lo and Peadar Davis

Air quality, noise and proximity to urban infrastructure can arguably have an important impact on the quality of life. Environmental quality (the price of good health) has…

Abstract

Purpose

Air quality, noise and proximity to urban infrastructure can arguably have an important impact on the quality of life. Environmental quality (the price of good health) has become a central tenet for consumer choice in urban locales when deciding on a residential neighbourhood. Unlike the market for most tangible goods, the market for environmental quality does not yield an observable per unit price effect. As no explicit price exists for a unit of environmental quality, this paper aims to use the housing market to derive its implicit price and test whether these constituent elements of health and well-being are indeed capitalised into property prices and thus implicitly priced in the market place.

Design/methodology/approach

A considerable number of studies have used hedonic pricing models by incorporating spatial effects to assess the impact of air quality, noise and proximity to noise pollutants on property market pricing. This study presents a spatial analysis of air quality and noise pollution and their association with house prices, using 2,501 sale transactions for the period 2013. To assess the impact of the pollutants, three different spatial modelling approaches are used, namely, ordinary least squares using spatial dummies, a geographically weighted regression (GWR) and a spatial lag model (SLM).

Findings

The findings suggest that air quality pollutants have an adverse impact on house prices, which fluctuate across the urban area. The analysis suggests that the noise level does matter, although this varies significantly over the urban setting and varies by source.

Originality/value

Air quality and environmental noise pollution are important concerns for health and well-being. Noise impact seems to depend not only on the noise intensity to which dwellings are exposed but also on the nature of the noise source. This may suggest the presence of other externalities that arouse social aversion. This research presents an original study utilising advanced spatial modelling approaches. The research has value in further understanding the market impact of environmental factors and in providing findings to support local air zone management strategies, noise abatement and management strategies and is of value to the wider urban planning and public health disciplines.

Details

Journal of European Real Estate Research, vol. 11 no. 3
Type: Research Article
ISSN: 1753-9269

Keywords

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