Search results
1 – 10 of over 4000Benjamin Leiby and Darryl Ahner
This paper aims to examine how the regional variable in country conflict modeling affects forecast accuracy and identifies a methodology to further improve the predictions.
Abstract
Purpose
This paper aims to examine how the regional variable in country conflict modeling affects forecast accuracy and identifies a methodology to further improve the predictions.
Design/methodology/approach
This paper uses statistical learning methods to both evaluate the quantity of data for clustering countries along with quantifying accuracy according to the number of clusters used.
Findings
This study demonstrates that increasing the number of clusters for modeling improves the ability to predict conflict as long as the models are robust.
Originality/value
This study investigates the quantity of clusters used in conflict modeling, while previous research assumes a specific quantity before modeling.
Details
Keywords
Fauziah Eddyono, Dudung Darusman, Ujang Sumarwan and Fauziah Sunarminto
This study aims to find a dynamic model in an effort to optimize tourism performance in ecotourism destinations. The model structure is built based on competitive performance in…
Abstract
Purpose
This study aims to find a dynamic model in an effort to optimize tourism performance in ecotourism destinations. The model structure is built based on competitive performance in geographic areas and the application of ecotourism elements that are integrated with big data innovation through artificial intelligence technology.
Design/methodology/approach
Data analysis is performed through dynamic system modeling. Simulations are carried out in three models: First, existing simulation models. Second, Scenario 1 is carried out by utilizing a causal loop through innovation of big data-based artificial intelligence technology to ecotourism elements. Third, Scenario 2 is carried out by utilizing a causal loop through big data-based artificial intelligence technology on aspects of ecotourism elements and destination competitiveness.
Findings
This study provides empirical insight into the competitiveness performance of destinations and the performance of implementing ecotourism elements if integrated with big data innovations that will be able to massively demonstrate the growth of sustainable tourism performance.
Research limitations/implications
This study does not use a primary database, but uses secondary data from official sources that can be accessed by the public.
Practical implications
The paper includes implications for the development of intelligent technology based on big data and also requires policy innovation.
Social implications
Sustainable tourism development.
Originality/value
This study finds the expansion of new theory competitiveness of ecotourism destinations.
Details
Keywords
Patrick Holzmann, Robert J. Breitenecker and Erich J. Schwarz
The purpose of this paper is to analyze the business models that 3D printer manufacturers apply to commercialize their technologies. The authors investigate these business models…
Abstract
Purpose
The purpose of this paper is to analyze the business models that 3D printer manufacturers apply to commercialize their technologies. The authors investigate these business models and analyze whether there are business model patterns. The paper describes the gestalt of the business model patterns and discusses differences and similarities.
Design/methodology/approach
The authors review the literatures on business models and 3D printing technology. The authors apply a componential business model approach and carry out an in-depth analysis of the business models of 48 3D printer manufacturers in Europe and North America. The authors develop a framework focusing on value proposition, value creation and value capture components. Cluster analysis is used to identify business model patterns.
Findings
The results indicate that there are two distinct business model patterns in the industry. The authors termed these patterns the “low-cost online business model” and the “technology expert business model.” The results demonstrate that there is a relationship between business model and technology. The identified patterns are independent of age, company size and country of origin.
Research limitations/implications
The empirical results complement and extend existing literature on business models. The authors contribute to the discussion on business models in the context of novel technology. The technology seems to influence the gestalt of the business model. The sample is limited to European and North American companies and the analysis is based on secondary data.
Originality/value
This is the first empirical study on the business models of 3D printer manufacturers. The authors apply an original mixed-methods approach and develop a framework that can function as a starting point for future research. 3D printer manufacturers can use the identified business model patterns as blueprints to reduce the risk of failure or as a starting point for business model innovation.
Details
Keywords
Bilge Yigit Ozkan, Marco Spruit, Roland Wondolleck and Verónica Burriel Coll
This paper presents a method for adapting an Information Security Focus Area Maturity (ISFAM) model to the organizational characteristics (OCs) of a small- and medium-sized…
Abstract
Purpose
This paper presents a method for adapting an Information Security Focus Area Maturity (ISFAM) model to the organizational characteristics (OCs) of a small- and medium-sized enterprise (SME) cluster. The purpose of this paper is to provide SMEs with a tailored maturity model enabling them to capture and improve their information security capabilities.
Design/methodology/approach
Design Science Research was followed to design and evaluate the method as a design artifact.
Findings
The method has successfully been used to adapt the ISFAM model to a group of SMEs within a regional cluster resulting in a model that is aligned with the OCs of the cluster. Areas for further investigation and improvements were identified.
Research limitations/implications
The study is based on applying the proposed method for the SMEs active in the transport, logistics and packaging sector in the Port of Rotterdam. Future research can focus on different sectors and regions. The method can be used for adapting other focus area maturity models.
Practical implications
The resulting adapted maturity model can facilitate the creation and further development of a base of common or shared knowledge in the cluster. The adapted maturity model can cut the cost of over implementation of information security capabilities for the SMEs with scarce resources.
Originality/value
The resulting adapted maturity model can facilitate the creation and further development of a base of common or shared knowledge in the cluster. The adapted maturity model can cut the cost of over implementation of information security capabilities for the SMEs with scarce resources.
Details
Keywords
Cengiz Bahadir Karahan and Levent Kirval
Turkey is a maritime country with its current merchant fleet and shipyards, geographical location, young population and growth potential. Clustering, being one of the important…
Abstract
Purpose
Turkey is a maritime country with its current merchant fleet and shipyards, geographical location, young population and growth potential. Clustering, being one of the important improvement methods of global competition power, is widely used in the maritime sector. Analysing the clustering level and potential of Istanbul, which is the major city of Turkey, in regard to economic and social aspects is a basic step for increasing global competitiveness in this sector. This study aims to measure the clustering level of Istanbul’s maritime sector and also define the effect of clustering level on firm performance.
Design/methodology/approach
The clustering levels of Istanbul’s maritime transportation and supporting firms, shipyards and maritime equipment manufacturers are measured by means of a survey based on Porter’s diamond theory in this paper. The relationship between clustering level and firm performance is defined by using simple linear regression and fuzzy linear regression methods. The weights of the criteria are calculated by means of entropy method.
Findings
It is concluded that despite its deficits, Istanbul’s maritime sector has significant potential to become a major maritime cluster not only in its region but also worldwide. The effect of clustering level on firm performance was observed to be statistically significant, but not high. The results of the simple linear regression and fuzzy linear regression methods are compared.
Originality/value
According to the author’s knowledge, this paper is the first study using fuzzy linear regression and entropy methods to analyse maritime clusters. It evaluates the effect of clustering level on firm performance in the case of Istanbul maritime sector.
Details
Keywords
The authors aim to develop a conceptual framework for longitudinal estimation of stress-related states in the wild (IW), based on the machine learning (ML) algorithms that use…
Abstract
Purpose
The authors aim to develop a conceptual framework for longitudinal estimation of stress-related states in the wild (IW), based on the machine learning (ML) algorithms that use physiological and non-physiological bio-sensor data.
Design/methodology/approach
The authors propose a conceptual framework for longitudinal estimation of stress-related states consisting of four blocks: (1) identification; (2) validation; (3) measurement and (4) visualization. The authors implement each step of the proposed conceptual framework, using the example of Gaussian mixture model (GMM) and K-means algorithm. These ML algorithms are trained on the data of 18 workers from the public administration sector who wore biometric devices for about two months.
Findings
The authors confirm the convergent validity of a proposed conceptual framework IW. Empirical data analysis suggests that two-cluster models achieve five-fold cross-validation accuracy exceeding 70% in identifying stress. Coefficient of accuracy decreases for three-cluster models achieving around 45%. The authors conclude that identification models may serve to derive longitudinal stress-related measures.
Research limitations/implications
Proposed conceptual framework may guide researchers in creating validated stress-related indicators. At the same time, physiological sensing of stress through identification models is limited because of subject-specific reactions to stressors.
Practical implications
Longitudinal indicators on stress allow estimation of long-term impact coming from external environment on stress-related states. Such stress-related indicators can become an integral part of mobile/web/computer applications supporting stress management programs.
Social implications
Timely identification of excessive stress may improve individual well-being and prevent development stress-related diseases.
Originality/value
The study develops a novel conceptual framework for longitudinal estimation of stress-related states using physiological and non-physiological bio-sensor data, given that scientific knowledge on validated longitudinal indicators of stress is in emergent state.
Details
Keywords
Giulio Ferrigno, Nicola Del Sarto, Andrea Piccaluga and Alessandro Baroncelli
The objective of this study is to examine current business and management research on “Industry 4.0 base technologies” and “business models” to shed light on this vast literature…
Abstract
Purpose
The objective of this study is to examine current business and management research on “Industry 4.0 base technologies” and “business models” to shed light on this vast literature and to point out future research agenda.
Design/methodology/approach
The authors conducted a bibliometric analysis of scientific publications based on 482 documents collected from the Scopus database and a co-citation analysis to provide an overview of business model studies related to Industry 4.0 base technologies. After that a qualitative analysis of the articles was also conducted to identify research trends and trajectories.
Findings
The results reveal the existence of five research themes: smart products (cluster 1); business model innovation (cluster 2); technological platforms (cluster 3); value creation and appropriation (cluster 4); and digital business models (cluster 5). A qualitative analysis of the articles was also conducted to identify research trends and trajectories.
Research limitations/implications
First, the dataset was collected through Scopus. The authors are aware that other databases, such as Web of Science, can be used to deepen the focus of quantitative bibliometric analysis. Second, the authors based this analysis on the Industry 4.0 base technologies identified by Frank et al. (2019). The authors recognize that Industry 4.0 comprises other technologies beyond IoT, cloud computing, big data and analytics.
Practical implications
Drawing on these analyses, the authors submit a useful baseline for developing Industry 4.0 base technologies and considering their implications for business models.
Originality/value
In this paper, the authors focus their attention on the relationship between technologies underlying the fourth industrial revolution, identified by Frank et al. (2019), and the business model, with a particular focus on the developments that have occurred over the last decade and the authors performed a bibliometric analysis to consider all the burgeoning literature on the topic.
Details
Keywords
Lara Mendes Christ Bonella Sepulcri, Emerson Wagner Mainardes and Danilo Magno Marchiori
Various studies dealing with brand orientation were analysed to discuss how the issues identified in this area have been relating over time. This paper aims to identify the key…
Abstract
Purpose
Various studies dealing with brand orientation were analysed to discuss how the issues identified in this area have been relating over time. This paper aims to identify the key studies, the keywords used and the origin of the studies.
Design/methodology/approach
A systematic literature review (SLR) was performed within the Scopus database to select and summarize the studies that deal with brand orientation. Finally, 90 articles were subjected to bibliometric analysis.
Findings
Five major research areas were identified (brand orientation concept, hybrid strategies, internal branding management, brand performance and perceived brand orientation) and discussed.
Research limitations/implications
As the main theoretical contribution, the results showed a focus on research in five areas: the development of the brand orientation concept and proposed extensions; hybrid strategies; the relations between brand orientation, internal branding and brand management; the relation between brand orientation and financial performance; and the perceived brand orientation, mostly applied to higher education sector.
Originality/value
The study offers a general overview of brand orientation, identifying relations on topics of interest, main keywords and sub-themes in this field. The results contribute to fulfilling the research gap about the relationship between all these aspects. Finally, an agenda for future research is proposed.
Propósito
Se analizaron diversos estudios sobre la orientación de la marca con el fin de discutir cómo se han ido relacionando a lo largo del tiempo los problemas identificados en esta área. Esta investigación identifica los estudios clave, las palabras clave utilizadas y el origen de los estudios.
Metodología
Se realizó una revisión sistemática de la literatura (SLR) con la base de datos de Scopus para seleccionar y resumir los estudios que tratan de la orientación de la marca. Finalmente, 90 artículos fueron sometidos al análisis bibliométrico.
Hallazgos
Se identificaron cinco grandes áreas de investigación (concepto de orientación de marca, Estrategias híbridas, Gestión interna de marca, Rendimiento de marca, Orientación de marca percibida) y se discutieron.
Implicaciones de la investigación
Los resultados mostraron un enfoque en la investigación en cinco áreas: el desarrollo del concepto de orientación de marca y las extensiones propuestas; las estrategias híbridas; las relaciones entre la orientación de marca, el branding interno y la gestión de marca; la relación entre la orientación de marca y el rendimiento financiero; y la orientación de marca percibida, aplicada principalmente al sector de la educación superior.
Originalidad/valor
El estudio ofrece una visión general de la orientación de la marca, identificando las relaciones sobre temas de interés, las principales palabras clave y los subtemas en este campo. Los resultados contribuyen a llenar el vacío de investigación sobre la relación entre todos estos aspectos. Finalmente, se propone una agenda futura de investigación.
Palabras clave
Orientación de marca, Marca, Análisis bibliométrico, Revisión sistemática de la literatura
Tipo de artículo
Revisión general
Details
Keywords
Marzena Frankowska and Katarzyna Cheba
The purpose of this paper is to fill the research and cognitive gap by comparative analyzing of the cluster supply chain (CSC) and supply chains not belonging to the clusters to…
Abstract
Purpose
The purpose of this paper is to fill the research and cognitive gap by comparative analyzing of the cluster supply chain (CSC) and supply chains not belonging to the clusters to examine the relational embeddedness as the differentiator of supply chains operating in the clusters.
Design/methodology/approach
The conceptual model was tested with data collected from 475 industrial companies cooperating with their partners within supply chains, including 135 CSC. To identify the livraisons between different indicators, the correspondence analysis was applied.
Findings
The division of enterprises participating in this study into groups allows for the determination of relatively clear boundaries between enterprises belonging to the cluster and those that do not declare such affiliation. The obtained results confirmed that the relational embeddedness is the differentiator of the CSC collaboration.
Research limitations/implications
The main limitations are referred to as the static character of the data.
Practical implications
The paper contains implications for cluster facilitators, as well as for cluster policy decision makers, to better design support for cluster organizations.
Originality/value
This research is a contribution to the literature on inter-organizational structures, such as clusters and supply chains, and in particular, contributes to the creation of the scientific ground of SCS theory. The research allowed to better understand the nature of collaboration taking into consideration the fact of the relational embeddedness of the companies operating within supply chains located in clusters. It proves the existence of a new type of inter-organizational form that is CSC.
Details