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 large‐scale…
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.
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Pasquale Massimo Picone, Marco Galvagno and Vincenzo Pisano
There is growing interest in how hubris bias shapes managerial and entrepreneurial judgments and decisions and, in turn, firm strategy and performance. Based on a 44-years dataset…
Abstract
Purpose
There is growing interest in how hubris bias shapes managerial and entrepreneurial judgments and decisions and, in turn, firm strategy and performance. Based on a 44-years dataset of articles reaching the beginning of 2023, the authors offer a synthesis of hubris research published within business journals.
Design/methodology/approach
The authors implement a mixed-method approach offering a content representation of 600 peer-reviewed articles extracted from Scopus. The authors conduct a bibliometric investigation – employing Excel, VOSViewer and Biblioshiny software – and perform a qualitative review.
Findings
The analysis unveils four thematic clusters: hubris bias in financial policies (Cluster 1), hubris bias in restructuring deals (Cluster 2), hubris bias in entrepreneurial contexts (Cluster 3) and hubris bias in strategic decision-making (Cluster 4). Moreover, the authors infer that hubris research in business predominantly developed from three disciplinary perspectives – finance, entrepreneurship and strategic management – and progressed with limited interdisciplinary dialogue.
Practical implications
The authors call practitioners' attention to the impact of the hubris bias in forming financial, entrepreneurial and strategic choices. Managers get conscious of the risks of hubristic choices; hence, they implement organizational practices that move forward with unbiased (or less biased) judgments and decisions.
Originality/value
The authors offer an up-to-date and comprehensive view of hubris research in business. Furthermore, the authors provide an integrative framework and a research agenda.
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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…
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.
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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.
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Francesco Schiavone, Maria Cristina Pietronudo, Annamaria Sabetta and Marco Ferretti
Total quality management is a valuable approach to continuously improve the quality of organizations; however, scholars debate its applicability to services, which require…
Abstract
Purpose
Total quality management is a valuable approach to continuously improve the quality of organizations; however, scholars debate its applicability to services, which require specific best practices that are different from those related to manufacturing. Moreover, digitization is pervading all kinds of services, but little has been written about total quality service practices in digital-based companies. For this purpose, the authors provide a holistic model of total quality service that reflects the peculiarities of such companies, guided by the question: how do total quality service practices change in digital-based service organizations?
Design/methodology/approach
The authors conduct an illustrative case study on Healthware Group, a global integrated digital health organization, to evaluate theoretical assumptions about total quality service practices in the digital environment.
Findings
The findings allow to validate the model provided. In addition, the study enables them to observe the changes the authors are witnessing in service provision in the digital era and the consequent transformation of best practices. To be accurate, the authors cannot refer to a full transformation in digital-based companies but rather to the enrichment and extension of TQS practices. The best illustration of these conclusions has been summarized in a set of propositions corresponding to seven of the key levers of a TQS model.
Originality/value
The paper represents the first attempt to discuss the relationship between total quality service and digitalization, offering a set of propositions for academics and insights for practitioners. The model can be used as a tool to visualize the different levers that successful implementation of TQS in digital-based services companies can rely on.
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Rebeca Martín-Díez, María Saiz-Santos and Andrés Araujo
This paper aims to explore the application of the National Expert Survey (NES) methodology in the circular economy, validating the model in the industrial ecosystem of the Basque…
Abstract
Purpose
This paper aims to explore the application of the National Expert Survey (NES) methodology in the circular economy, validating the model in the industrial ecosystem of the Basque Country to identify the challenges faced by the entrepreneurial ecosystem in the machine tool industry and to promote circular entrepreneurship.
Design/methodology/approach
This study uses the NES methodology, a globally recognized qualitative tool for gathering expert opinions. This methodology is adapted to the context of industrial circular entrepreneurship, ensuring that the constructs are relevant to the circular economy.
Findings
This study validates and expands the application of the NES model in the context of industrial circular entrepreneurship, providing a robust theoretical framework to evaluate the circular entrepreneurial ecosystem. The suitability of the Basque Country context, with its industrial legacy and cultural identity, has been key to this validation.
Practical implications
Concrete recommendations are provided to improve education, government intervention and financial conditions, highlighting key areas that facilitate the transition to sustainable business models and promote innovation and collaboration in the circular economy.
Originality/value
A new model is proposed, pioneering the validation of the NES methodology in industrial circular entrepreneurship and providing a specific tool to evaluate environmental factors in the Basque industry. The adaptation of the NES model offers a solid foundation for future research and applications. The model aids in decision-making, and its use has a social impact.
Objetivo
Este artículo explora la aplicación de la metodología NES en la economía circular, validando el modelo en el ecosistema industrial del País Vasco para identificar los desafíos que enfrenta el ecosistema emprendedor en la industria de la máquina herramienta y propone un modelo original para medir y promover el emprendimiento circular industrial. El modelo ha sido validado en el ecosistema industrial vasco, un contexto de referencia para la actividad y política industrial. Útil para la industria, la política y el ámbito académico, el modelo identifica factores favorables y áreas que requieren atención en el emprendimiento circular industrial.
Diseño/metodología/enfoque
El estudio utiliza la metodología NES, una herramienta cualitativa reconocida a nivel mundial para recopilar opiniones de expertos. Esta metodología se adapta al contexto del emprendimiento circular industrial, asegurando que los constructos sean relevantes para la economía circular. La metodología es clave para el estudio, ya que se ha diseñado una herramienta original basada en la metodología NES, ampliamente probada y validada, y específicamente adaptada para el emprendimiento circular industrial.
Resultados
El estudio valida y amplía la aplicación del modelo NES en el contexto del emprendimiento circular industrial, proporcionando un marco teórico robusto para evaluar el ecosistema emprendedor circular. La idoneidad del contexto del País Vasco, con su legado industrial e identidad cultural, ha sido clave para esta validación. Al abordar la notable falta de investigación sobre la economía circular desde la perspectiva del emprendimiento industrial, este artículo se presenta como una contribución particularmente valiosa.
Originalidad/valor
Se propone un nuevo modelo, pionero en la validación de la metodología NES en el emprendimiento circular industrial, proporcionando una herramienta específica para evaluar factores ambientales en la industria vasca. La adaptación del modelo NES ofrece una base sólida para futuras investigaciones y aplicaciones. El modelo ayuda en la toma de decisiones y su uso tiene un impacto social.
Implicaciones prácticas
Se ofrecen recomendaciones concretas para mejorar la educación, la intervención gubernamental y las condiciones financieras, destacando áreas clave que facilitan la transición hacia modelos de negocio sostenibles y promueven la innovación y la colaboración en la economía circular.
Objetivo
Este artigo explora a aplicação da metodologia NES na economia circular, validando o modelo no ecossistema industrial do País Basco para identificar os desafios enfrentados pelo ecossistema empreendedor na indústria de máquinas-ferramenta e propõe um modelo original para medir e promover o empreendedorismo circular industrial. O modelo foi validado no ecossistema industrial basco, um contexto de referência para a atividade e política industrial. Útil para a indústria, políticas públicas e o meio acadêmico, o modelo identifica fatores favoráveis e áreas que requerem atenção no empreendedorismo circular industrial.
Design/metodologia/abordagem
O estudo utiliza a metodologia NES, uma ferramenta qualitativa reconhecida mundialmente para a coleta de opiniões de especialistas. Esta metodologia é adaptada ao contexto do empreendedorismo circular industrial, garantindo que os constructos sejam relevantes para a economia circular. A metodologia é fundamental para o estudo, uma vez que foi desenvolvida uma ferramenta original baseada na metodologia NES, amplamente testada e validada, e especificamente adaptada para o empreendedorismo circular industrial.
Resultados
O estudo valida e expande a aplicação do modelo NES no contexto do empreendedorismo circular industrial, proporcionando um marco teórico robusto para avaliar o ecossistema empreendedor circular. A adequação do contexto do País Basco, com seu legado industrial e identidade cultural, foi essencial para esta validação. Ao abordar a notável falta de pesquisa sobre a economia circular a partir da perspectiva do empreendedorismo industrial, este artigo se apresenta como uma contribuição particularmente valiosa.
Originalidade
Propõe-se um novo modelo, pioneiro na validação da metodologia NES no empreendedorismo circular industrial, fornecendo uma ferramenta específica para avaliar fatores ambientais na indústria basca. A adaptação do modelo NES oferece uma base sólida para futuras pesquisas e aplicações. O modelo auxilia na tomada de decisões e seu uso tem um impacto social.
Implicações práticas
São fornecidas recomendações concretas para melhorar a educação, a intervenção governamental e as condições financeiras, destacando áreas-chave que facilitam a transição para modelos de negócios sustentáveis e promovem a inovação e a colaboração na economia circular.
Details
Keywords
- Entrepreneurship
- Circular economy
- Sustainability
- Industry
- Industrial circular entrepreneurship
- Entrepreneurial ecosystem
- GEM
- Emprendimiento
- Economía circular
- Sostenibilidad
- Industria
- Emprendimiento circular industrial
- Ecosistema emprendedor
- GEM
- Empreendedorismo
- Economia circular
- Sustentabilidade
- Indústria
- Empreendedorismo circular industrial
- Ecossistema empreendedor
- GEM
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 main…
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.
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Marcos Buestan, Cinthia C. Perez and Denise Rodríguez-Zurita
Health-care organisations face many challenges in delivering safe, high-quality services while experiencing significant pressure to increase productivity and reduce costs. In this…
Abstract
Purpose
Health-care organisations face many challenges in delivering safe, high-quality services while experiencing significant pressure to increase productivity and reduce costs. In this context, hospitals have implemented lean six sigma (LSS) programmes to improve their performance. This study aims to explore the application of LSS in three different non-profit Ecuadorian hospitals to comprehend the effectiveness of the methodology under this context.
Design/methodology/approach
A multiple-case analysis was performed in four phases: selecting the cases, defining a data collection protocol, performing a within-case analysis of each case and performing a cross-case analysis.
Findings
This research found that the LSS application positively impacts hospital performance indicators by reducing service time. The most frequently used tools include the supplier input process output customer diagram, value stream mapping, cause-and-effect diagram, five-why analysis, Gemba walk and paired two-sample test. Lastly, the results show that the most common challenges faced were lack of top management engagement, technical training and data availability.
Research limitations/implications
The study is limited by the constraint of a single Latin American country from which the cases were analysed. Collaboration with external partners, like universities, and government policies promoting training in continuous improvement methodologies are crucial for success. Academic implications stress the importance of integrating soft skills in LSS implementation and engineering education.
Originality/value
This study shows a multiple-case analysis of LSS in a Latin American country highlighting the most commonly used tools, their impact on performance and the challenges of implementing LSS in health-care organisations in non-profit Ecuadorian hospitals.
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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, cognitive and…
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.