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Article
Publication date: 6 September 2011

Marco Picone, Michele Amoretti and Francesco Zanichelli

A large set of valuable applications, ranging from social networking to ambient intelligence, may see their effectiveness and appeal improved when supported by the…

Abstract

Purpose

A large set of valuable applications, ranging from social networking to ambient intelligence, may see their effectiveness and appeal improved when supported by the large‐scale, real‐time tracking of mobile devices, either carried by humans or embedded into vehicles. A centralized approach, where few servers would collect position data and provide them to interested consumers, would hardly cope with the resource demand of the foreseen huge increase of users interested in location‐based services and with the flexibility needs of emerging user‐generated services. The purpose of this paper is to propose a decentralized peer‐to‐peer approach to cope with these requirements, for which positioning information flows directly among mobile devices incurring in limited data exchange.

Design/methodology/approach

The authors propose a decentralized peer‐to‐peer approach for which positioning information flows directly among mobile devices incurring limited data exchange. A peer‐to‐peer overlay scheme is introduced called distributed geographic table (DGT), where each participant can effectively retrieve node or resource information (data or service) located near any chosen geographic position. Next, the authors describe a DGT‐based localization protocol that allows each peer to proactively discover and track all peers that are geographically near to itself.

Findings

The authors provide a performance analysis of the protocol by simulating several 1,000 users that move across an urban area according to realistic mobility models. The results show that the solution is effective, robust, scalable and highly adaptable to different application scenarios.

Originality/value

The new contributions of this paper are a general framework called DGT, which defines a peer‐to‐peer strategy for mobile node localization, and a particular instance of the DGT that supports applications in which every node requires to be constantly updated about the location of its neighbors.

Details

International Journal of Pervasive Computing and Communications, vol. 7 no. 3
Type: Research Article
ISSN: 1742-7371

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Article
Publication date: 6 September 2011

Ismail Khalil

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Abstract

Details

International Journal of Pervasive Computing and Communications, vol. 7 no. 3
Type: Research Article
ISSN: 1742-7371

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Article
Publication date: 1 December 2001

Martha Zarate

Looks at the first 100 years of Italian cinema examining its role in Italy’s recent history. Provides a bibliography of major film directors, Italian cinema sources…

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2814

Abstract

Looks at the first 100 years of Italian cinema examining its role in Italy’s recent history. Provides a bibliography of major film directors, Italian cinema sources, reference works, histories, themes, theory and criticism and articles in journals.

Details

Collection Building, vol. 20 no. 4
Type: Research Article
ISSN: 0160-4953

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Article
Publication date: 20 May 2020

Houzhe Zhang, Defeng Gu, Xiaojun Duan, Kai Shao and Chunbo Wei

The purpose of this paper is to focus on the performance of three typical nonlinear least-squares estimation algorithms in atmospheric density model calibration.

Abstract

Purpose

The purpose of this paper is to focus on the performance of three typical nonlinear least-squares estimation algorithms in atmospheric density model calibration.

Design/methodology/approach

The error of Jacchia-Roberts atmospheric density model is expressed as an objective function about temperature parameters. The estimation of parameter corrections is a typical nonlinear least-squares problem. Three algorithms for nonlinear least-squares problems, Gauss–Newton (G-N), damped Gauss–Newton (damped G-N) and Levenberg–Marquardt (L-M) algorithms, are adopted to estimate temperature parameter corrections of Jacchia-Roberts for model calibration.

Findings

The results show that G-N algorithm is not convergent at some sampling points. The main reason is the nonlinear relationship between Jacchia-Roberts and its temperature parameters. Damped G-N and L-M algorithms are both convergent at all sampling points. G-N, damped G-N and L-M algorithms reduce the root mean square error of Jacchia-Roberts from 20.4% to 9.3%, 9.4% and 9.4%, respectively. The average iterations of G-N, damped G-N and L-M algorithms are 3.0, 2.8 and 2.9, respectively.

Practical implications

This study is expected to provide a guidance for the selection of nonlinear least-squares estimation methods in atmospheric density model calibration.

Originality/value

The study analyses the performance of three typical nonlinear least-squares estimation methods in the calibration of atmospheric density model. The non-convergent phenomenon of G-N algorithm is discovered and explained. Damped G-N and L-M algorithms are more suitable for the nonlinear least-squares problems in model calibration than G-N algorithm and the first two algorithms have slightly fewer iterations.

Details

Aircraft Engineering and Aerospace Technology, vol. 92 no. 7
Type: Research Article
ISSN: 1748-8842

Keywords

Content available
Article
Publication date: 22 March 2021

Maryana Scoralick De Almeida Tavares, Cláudia Fabiana Gohr, Sandra Morioka and Thereza Rakel da Cunha

This paper aims to map literature about innovation capabilities (IC) taking into consideration industrial clusters to propose a conceptual framework that synthetizes the…

Abstract

Purpose

This paper aims to map literature about innovation capabilities (IC) taking into consideration industrial clusters to propose a conceptual framework that synthetizes the main factors and subfactors responsible for ICs; in addition, the paper also proposes a research agenda.

Design/methodology/approach

A systematic literature review (SLR) was performed; academic papers were analyzed qualitatively and quantitatively.

Findings

The authors provide a descriptive analysis followed by a thematic synthesis, in which we present 05 enablers and 20 critical factors (CF) of IC in clusters. The proposed framework emphasizes what needs to be done or improved to increase IC in cluster-based companies. Based on this systematic review and the framework proposed, the authors identified opportunities for future research.

Research limitations/implications

The enablers and CF identified through SLR were not validated empirically. Therefore, future studies on the current topic are required to validate the framework by investigating which factors are more relevant to cluster-based companies that intend to improve their innovative performance.

Practical implications

The present findings have important implications for the identification of the factors and subfactors that may contribute to the development of IC, which may help managers and decision-makers in recognizing which factors are the most responsible for business innovation.

Originality/value

The paper identifies enablers related to the development of IC in industrial cluster and presents a research agenda. The framework represents a guideline for companies to achieve better innovation performance.

Details

Innovation & Management Review, vol. 18 no. 2
Type: Research Article
ISSN: 2515-8961

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Article
Publication date: 6 February 2017

Cristian Geldes, Jorge Heredia, Christian Felzensztein and Marcos Mora

This paper aims to use the proximity approach of economic geography with its spatial dimension (geographic) and their non-spatial dimensions (social, institutional…

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1589

Abstract

Purpose

This paper aims to use the proximity approach of economic geography with its spatial dimension (geographic) and their non-spatial dimensions (social, institutional, cognitive and organizational) to shed light on the determinants of business cooperation with other organizations. It is also examined whetherthis cooperation is a determining factor for business innovation (innovation networks), drawing a distinction between technological and non-technological innovations.

Design/methodology/approach

The study has a quantitative approach; it analyzes the case of 312 companies in a cluster of agribusinesses in an emerging economy (Chile). The proposal model and its interrelations are tested with exploratory factor analysis, confirmatory factor analysis and structural equation modeling.

Findings

The results show that cognitive-organizational proximity is a positive determinant of business cooperation with other organizations, whereas social and institutional proximity are negative determinants. It is also established that business cooperation is a positive determinant of business innovation. It is more relevant in the case of technological innovation unlike non-technological innovations. In addition, it is noted that business cooperation levels are lower in micro-enterprises, a result that differs from developed countries.

Practical implications

For business managers, it is best to cooperate with companies that are similar in terms of cognitive and organizational levels for innovation. At the same time, it is necessary develop strategies to reduce the social and institutional barriers to cooperation, especially in the agribusiness sector.

Originality/value

The contributions of the study are as follows: an in-depth quantitative examination of the relationships of various non-spatial proximities as determinants of business cooperation; an analysis of whether business cooperation with other organizations is a determining factor for business innovation, distinguishing between technological and non-technological innovation; and testing these relationships in the context of agribusiness in an emerging economy such as Chile’s because most of studies are related to high-tech sector and developed economies.

Details

Journal of Business & Industrial Marketing, vol. 32 no. 1
Type: Research Article
ISSN: 0885-8624

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Article
Publication date: 13 September 2021

Emma Su and Joshua Daspit

The literature related to knowledge management (KM) is robust with respect to insights regarding firms in general. However, less is known about the KM of family firms…

Abstract

Purpose

The literature related to knowledge management (KM) is robust with respect to insights regarding firms in general. However, less is known about the KM of family firms despite these firms being the most common form of business organization worldwide. Further, even though the number of studies examining family-firm KM has increased in recent years, the insights gained remain fragmented. Therefore, the purpose of this study is to help coalesce and advance the study of family-firm KM.

Design/methodology/approach

In pursuit of these goals, a systematic literature review was conducted. Using a 6-step, systematic literature review protocol, 74 articles focused on family-firm KM published in 23 journals were identified and reviewed.

Findings

This literature review contributes to the synthesis and advancement of family-firm KM scholarship in several ways. First, key factors and relationships are identified and integrated into a robust framework. Second, scholarly insights are synthesized, and a review of the primary antecedents, outcomes and moderating factors associated with family-firm KM processes is presented. Third, promising opportunities for future research are highlighted to advance family-firm KM scholarship.

Originality/value

With a focus on reducing the fragmentation in the literature, this review synthesizes insights related to the most commonly studied antecedents, outcomes and moderators associated with family-firm KM. Additionally, antecedents are organized and reviewed according to the nature of their influence on family-firm KM processes, highlighting the simultaneous opposite effects of some influences. Further, key outcomes are synthesized based on their family versus firm-centric orientation. Even further, insights and opportunities focused on advancing the theory, antecedents, outcomes, moderators and other issues related to family-firm KM are presented in an effort to support the continued progress of scholarship in this area.

Details

Journal of Knowledge Management, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1367-3270

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Article
Publication date: 11 October 2021

Jialin Song, Yiyi Su, Taoyong Su and Luyu Wang

The purpose of this paper is, from a resource accumulation and resource allocation perspective, to examine the variant effects of government subsidies among firms with…

Abstract

Purpose

The purpose of this paper is, from a resource accumulation and resource allocation perspective, to examine the variant effects of government subsidies among firms with varying levels of market power and to test how industry competition moderates the relationship between market power and allocative efficiency of government subsidies.

Design/methodology/approach

This study explores the relationship between government subsidies and firm performance from a resource-based view. The authors study the moderating role of market power and three-way interaction between subsidy, market power and industry competition on firm performance. The authors test their hypotheses using a sample of Chinese A-share manufacturing firms from 2006–2019. The authors apply firm-level panel data regressions and conduct a series of robustness tests. The marginal effect of market power and industry competition is explored via three-way moderator effect models.

Findings

This study finds that government subsidies are negatively related to firm performance. Market power, on average, strengthens the negative effect of government subsidies on performance, but such a reinforcement effect is neutralized when industry competition is intense. Government subsidies are least efficiently used when firms have market power and industry competition is low. In addition, the authors use different forms of firm performance and a various of robustness tests to verify their assumptions.

Originality/value

This paper contributes to the literature as follows. First, the authors look into subsidy–performance problem from the perspective of the resource-based view and contribute to explaining and mitigating the divergence of current findings on the subsidy–performance relationship. Second, the authors introduce market power and industry competition as moderators to study how resource allocative efficiency affects the subsidy–performance relationship. Third, the authors propose that managerial incentives have played an important role in the allocation of government subsidies, which enriches management practices.

Details

Chinese Management Studies, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1750-614X

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Article
Publication date: 3 October 2018

Xiwei Wang, Jiaxing Li, Mengqing Yang, Yong Chen and Xiaobo Xu

The purpose of this paper is to construct an information ecology factor-TAM model to explore how information, people, and information environment impact mobile library…

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2798

Abstract

Purpose

The purpose of this paper is to construct an information ecology factor-TAM model to explore how information, people, and information environment impact mobile library users’ behavioral intention.

Design/methodology/approach

An empirical study based on an information ecology factor-TAM model.

Findings

The results of model test indicate that information, people, and information environment affect users’ behavioral intention to use mobile library in the information ecology environment. This paper provides a new theoretical perspective to understand users’ behavior of mobile library. It also provides practical guidelines to promote the usage of mobile library.

Originality/value

Internet of Things makes digital library one important channel for people to obtain information. Mobile internet makes it possible to access a variety of information anytime and anywhere. With the rapid grow of the number of mobile internet users, the usage of mobile library does not grow correspondingly. This paper explores the reasons.

Details

Library Hi Tech, vol. 36 no. 4
Type: Research Article
ISSN: 0737-8831

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Article
Publication date: 4 April 2020

Mouhoub Hani and Giovanni-Battista Dagnino

Studies on inter-firm relationships have recently shifted their attention from dyadic networks to more globally driven network structures. This condition occurs because…

Abstract

Purpose

Studies on inter-firm relationships have recently shifted their attention from dyadic networks to more globally driven network structures. This condition occurs because embeddedness in global network structures may improve firm innovation and performance. In addition, the improvement of firm innovativeness and performance seems higher when globally networked firms both compete and cooperate between and among them. In this paper, we categorize the simultaneous interplay of cooperation and competition in the global arena as global network coopetition (GNC). Under GNC, multinational enterprises act jointly with their global partners-rivals to improve performance, at the same time by sharing complementary resources (cooperation side) and by undertaking independent actions to enhance their own performance (competition side). This paper aims to expand existing research on network and global coopetition by shedding light on the effects of coopetition between and among firms belonging to global network structures on value capture and innovation performance.

Design/methodology/approach

Using a sample of 100 firms belonging to 14 industries organized in 47 global networks of different sizes, the authors conducted a longitudinal empirical study over the period 2000-2014 covering 1,098 observations, 1,717 interfirm relationships and 78 inter-networks linkages. A multiple regression model on panel data with random effects was conducted on the sample of 1,098 observations related to the global automotive industry to test the research hypotheses.

Findings

Findings show that GNC enhances firm performance and innovation outcomes. In addition to GNC, structural characteristics such as network size, network position and network diversity have significant positive or negative effects on innovation and performance outcomes of firms belonging to these global network structures.

Research limitations/implications

Our research offers a contribution to the literature dealing with global networked structures’ effects on firm innovation performance. In fact, it effectively complements prior work on outcomes of coopetition between firms embedded in complex network structures. It also advances research in the area by introducing the notion of GNC as a network by which firms can enhance their innovation performance and, therefore, their global innovation performance. This study has some limitations. First, we acknowledge that it is focused only on 14 global coopetitive networks. It could be promising to extend the scope to integrate other networks. Second, our measures of firm actions as based on a content analysis of news reports related to firms. It would be important to complement this data collection by conducting a qualitative analysis (interviews). Atlast, it could be promising to include the study of customer needs in the new product development process.

Practical implications

Our study also offers some insights into the management of coopetition. In fact, by taking into account the existence of a context in which global coopetition networks play a role, managers may be better positioned to effectively deal with the paradox of being a partner of their direct rivals to improve their firms’ innovativeness and, consequently, achieve good performance, on the one hand, and to maintain relationships within several networks by taking into account their structural properties such as centrality and diversity, on the other hand.

Originality/value

We contribute to extant network coopetition literature in two ways. First, we introduce the notion of GNC to detect coopetition occurrence in global network structures. GNC refers to a context where actors in various networks belonging to different industries and geographies cooperate in a one (or more) innovative project/s, while simultaneously keeping on competing within and between their networks. Second, we contribute to network coopetition by analyzing specific GNC effects on firm innovation performance. In so doing, we can provide a deeper analytical understanding of GNC performance effects on firms operating in global network contexts.

Details

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

Keywords

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