Search results

1 – 10 of over 7000
Open Access
Article
Publication date: 4 July 2023

Joacim Hansson

In this article, the author discusses works from the French Documentation Movement in the 1940s and 1950s with regard to how it formulates bibliographic classification systems as…

Abstract

Purpose

In this article, the author discusses works from the French Documentation Movement in the 1940s and 1950s with regard to how it formulates bibliographic classification systems as documents. Significant writings by Suzanne Briet, Éric de Grolier and Robert Pagès are analyzed in the light of current document-theoretical concepts and discussions.

Design/methodology/approach

Conceptual analysis.

Findings

The French Documentation Movement provided a rich intellectual environment in the late 1940s and early 1950s, resulting in original works on documents and the ways these may be represented bibliographically. These works display a variety of approaches from object-oriented description to notational concept-synthesis, and definitions of classification systems as isomorph documents at the center of politically informed critique of modern society.

Originality/value

The article brings together historical and conceptual elements in the analysis which have not previously been combined in Library and Information Science literature. In the analysis, the article discusses significant contributions to classification and document theory that hitherto have eluded attention from the wider international Library and Information Science research community. Through this, the article contributes to the currently ongoing conceptual discussion on documents and documentality.

Details

Journal of Documentation, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0022-0418

Keywords

Article
Publication date: 2 May 2023

Giovanna Aracri, Antonietta Folino and Stefano Silvestri

The purpose of this paper is to propose a methodology for the enrichment and tailoring of a knowledge organization system (KOS), in order to support the information extraction…

Abstract

Purpose

The purpose of this paper is to propose a methodology for the enrichment and tailoring of a knowledge organization system (KOS), in order to support the information extraction (IE) task for the analysis of documents in the tourism domain. In particular, the KOS is used to develop a named entity recognition (NER) system.

Design/methodology/approach

A method to improve and customize an available thesaurus by leveraging documents related to the tourism in Italy is firstly presented. Then, the obtained thesaurus is used to create an annotated NER corpus, exploiting both distant supervision, deep learning and a light human supervision.

Findings

The study shows that a customized KOS can effectively support IE tasks when applied to documents belonging to the same domains and types used for its construction. Moreover, it is very useful to support and ease the annotation task using the proposed methodology, allowing to annotate a corpus with a fraction of the effort required for a manual annotation.

Originality/value

The paper explores an alternative use of a KOS, proposing an innovative NER corpus annotation methodology. Moreover, the KOS and the annotated NER data set will be made publicly available.

Details

Journal of Documentation, vol. 79 no. 6
Type: Research Article
ISSN: 0022-0418

Keywords

Article
Publication date: 18 August 2022

Leonardo Marques and Marina Dastre Manzanares

Despite the systemic nature of circular economy (CE), theorisation that draws from a supply network perspective is only incipient. Moreover, the operations and supply chain…

Abstract

Purpose

Despite the systemic nature of circular economy (CE), theorisation that draws from a supply network perspective is only incipient. Moreover, the operations and supply chain management (OSCM) field has engaged in little dialogue with circularity. This study explores social network analysis (SNA) to depict how the shift from linear to circular not only leads to higher rates of resource economy, repair and recycle but also reshapes governance dynamics and network structure of supply networks.

Design/methodology/approach

The study departs from a systematic review of the literature and draws from core concepts in OSCM, CE and SNA to offer theoretical propositions that articulate how social network metrics can depict supply network circularity. The framework is illustrated with examples from fashion and electronics industries.

Findings

Four theoretical propositions enlighten how betweenness centrality, eigenvector centrality and network density can explain the shift from linear to circular supply networks across the three CE strategies of narrowing, slowing and closing.

Originality/value

The combination of biomimicry, CE, the push–pull dichotomy and social network metrics offer a theory-driven framework for supply network circularity.

Details

International Journal of Operations & Production Management, vol. 43 no. 4
Type: Research Article
ISSN: 0144-3577

Keywords

Article
Publication date: 28 February 2023

Meltem Aksoy, Seda Yanık and Mehmet Fatih Amasyali

When a large number of project proposals are evaluated to allocate available funds, grouping them based on their similarities is beneficial. Current approaches to group proposals…

Abstract

Purpose

When a large number of project proposals are evaluated to allocate available funds, grouping them based on their similarities is beneficial. Current approaches to group proposals are primarily based on manual matching of similar topics, discipline areas and keywords declared by project applicants. When the number of proposals increases, this task becomes complex and requires excessive time. This paper aims to demonstrate how to effectively use the rich information in the titles and abstracts of Turkish project proposals to group them automatically.

Design/methodology/approach

This study proposes a model that effectively groups Turkish project proposals by combining word embedding, clustering and classification techniques. The proposed model uses FastText, BERT and term frequency/inverse document frequency (TF/IDF) word-embedding techniques to extract terms from the titles and abstracts of project proposals in Turkish. The extracted terms were grouped using both the clustering and classification techniques. Natural groups contained within the corpus were discovered using k-means, k-means++, k-medoids and agglomerative clustering algorithms. Additionally, this study employs classification approaches to predict the target class for each document in the corpus. To classify project proposals, various classifiers, including k-nearest neighbors (KNN), support vector machines (SVM), artificial neural networks (ANN), classification and regression trees (CART) and random forest (RF), are used. Empirical experiments were conducted to validate the effectiveness of the proposed method by using real data from the Istanbul Development Agency.

Findings

The results show that the generated word embeddings can effectively represent proposal texts as vectors, and can be used as inputs for clustering or classification algorithms. Using clustering algorithms, the document corpus is divided into five groups. In addition, the results demonstrate that the proposals can easily be categorized into predefined categories using classification algorithms. SVM-Linear achieved the highest prediction accuracy (89.2%) with the FastText word embedding method. A comparison of manual grouping with automatic classification and clustering results revealed that both classification and clustering techniques have a high success rate.

Research limitations/implications

The proposed model automatically benefits from the rich information in project proposals and significantly reduces numerous time-consuming tasks that managers must perform manually. Thus, it eliminates the drawbacks of the current manual methods and yields significantly more accurate results. In the future, additional experiments should be conducted to validate the proposed method using data from other funding organizations.

Originality/value

This study presents the application of word embedding methods to effectively use the rich information in the titles and abstracts of Turkish project proposals. Existing research studies focus on the automatic grouping of proposals; traditional frequency-based word embedding methods are used for feature extraction methods to represent project proposals. Unlike previous research, this study employs two outperforming neural network-based textual feature extraction techniques to obtain terms representing the proposals: BERT as a contextual word embedding method and FastText as a static word embedding method. Moreover, to the best of our knowledge, there has been no research conducted on the grouping of project proposals in Turkish.

Details

International Journal of Intelligent Computing and Cybernetics, vol. 16 no. 3
Type: Research Article
ISSN: 1756-378X

Keywords

Article
Publication date: 29 January 2024

Juan Manuel Aristizábal, Edwin Tarapuez and Carlos Alberto Astudillo

This study aims to analyze the entrepreneurial intention (EI) of Colombian researchers using machine learning (ML) techniques, considering their academic activity, contexts and…

Abstract

Purpose

This study aims to analyze the entrepreneurial intention (EI) of Colombian researchers using machine learning (ML) techniques, considering their academic activity, contexts and social norms (SN).

Design/methodology/approach

Unsupervised classification techniques were applied, including principal component analysis, hierarchical clustering with the Ward method and a logistic model to evaluate the classification. This was done to group researchers according to their characteristics and EI.

Findings

The methodology used allowed the identification of three groups of academics with distinct characteristics, of which two showed a high presence of EI. The results indicate that EI is influenced by the connection with the private sector (consulting, intellectual property and applied research) and by the lack of institutional support from universities. Regarding SN, only the preference for entrepreneurial activity over being an employee and the social appreciation of entrepreneurial dedication were identified as predictors of EI.

Originality/value

The use of ML techniques to study the EI of researchers is uncommon. This study highlights the ability of the methodology used to identify differences between two groups of academics with similar characteristics but different levels of EI. One group was identified that, despite rejecting values associated with entrepreneurs, has a high predisposition to develop a career as an entrepreneur. This provides valuable information for designing policies that promote EI among Colombian researchers.

Details

Journal of Entrepreneurship in Emerging Economies, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 2053-4604

Keywords

Article
Publication date: 17 May 2023

Lucy Bateman, Andrea Flood, Deanna Jayne Gallichan and Leonardo De Pascalis

Insecure and unresolved attachments have been linked to poorer psychological health and interpersonal functioning for people with intellectual disabilities (IDs), but research in…

Abstract

Purpose

Insecure and unresolved attachments have been linked to poorer psychological health and interpersonal functioning for people with intellectual disabilities (IDs), but research in this area is limited, especially for adults. Studies using the Adult Attachment Projective (AAP) have been restricted to clinical samples, where insecure and unresolved attachments are typically more prevalent. The purpose of this study is to compare clinical and non-clinical groups of adults with IDs on the AAP, plus measures of psychological health and interpersonal functioning, to investigate whether group differences found in the typically developing population are also present for adults with IDs.

Design/methodology/approach

A cross-sectional, between-group design was used. Adults with IDs (clinical group n = 11 and non-clinical group n = 13) completed measures of attachment, psychological distress/positive well-being and interpersonal functioning. Attachment classifications were compared in the clinical versus non-clinical groups. Measures of psychological distress, positive well-being and interpersonal functioning were compared between those with insecure-organised versus unresolved classifications.

Findings

No participants were classified as secure, and there were high rates of unresolved attachment. There were no differences between clinical and non-clinical groups with regards to the distribution of insecure-organised (i.e. dismissing or preoccupied) versus unresolved classifications. There were no differences between groups with regards to psychological distress, positive well-being or interpersonal functioning. The authors consider limitations in the method of group differentiation and suggest further research to better understand the development of internal working models of attachment in this population.

Originality/value

To the best of the authors’ knowledge, this study is one of only three to examine attachment state of mind in adults with IDs using the AAP and the first to examine differences between clinical and non-clinical groups.

Details

Advances in Mental Health and Intellectual Disabilities, vol. 17 no. 4
Type: Research Article
ISSN: 2044-1282

Keywords

Article
Publication date: 5 December 2022

Nejib Fattam, Tarik Saikouk, Ahmed Hamdi, Alan Win and Ismail Badraoui

This paper aims to elaborate on current research on fourth party logistics “4PL” by offering a taxonomy that provides a deeper understanding of 4PL service offerings, thus drawing…

208

Abstract

Purpose

This paper aims to elaborate on current research on fourth party logistics “4PL” by offering a taxonomy that provides a deeper understanding of 4PL service offerings, thus drawing clear frontiers between existing 4PL business models.

Design/methodology/approach

The authors collected data using semi-structured interviews conducted with 60 logistics executives working in 44 “4PL” providers located in France. Using automatic analysis of textual data, the authors combined spatial visualisation, clustering analysis and hierarchical descending classification to generate the taxonomy.

Findings

Two key dimensions emerged, allowing the authors to clearly identify and distinguish four 4PL business models: the level of reliance on interpersonal relationships and the level of involvement in 4PL service offering. As a result, 4PL providers fall under one of the following business models in the taxonomy: (1) The Metronome, (2) The Architect, (3) The Nostalgic and (4) The Minimalist.

Research limitations/implications

The study focuses on investigating 4PL providers located in France; thus, future studies should explore the classification of 4PL business models across different cultural contexts and social structures.

Practical implications

The findings offer valuable managerial insights for logistics executives and clients of 4PL to better orient their needs, the negotiations and the contracting process with 4PLs.

Originality/value

Using a Lexicometric analysis, the authors develop taxonomy of 4PL service providers based on empirical evidence from logistics executives; the work addresses the existing confusion regarding the conceptualisation of 4PL firms with other types of logistical providers and the role of in/formal interpersonal relationships in the logistical intermediation.

Details

The International Journal of Logistics Management, vol. 34 no. 6
Type: Research Article
ISSN: 0957-4093

Keywords

Article
Publication date: 5 December 2023

Şeniz Özhan, Erkan Ozhan and Ozge Habiboglu

Brand reputation (BR) is one of the most important factors that affect the consumer–brand relationship and give businesses a competitive advantage. Businesses with a strong BR can…

Abstract

Purpose

Brand reputation (BR) is one of the most important factors that affect the consumer–brand relationship and give businesses a competitive advantage. Businesses with a strong BR can increase their market shares and product market prices, in addition to gaining a competitive advantage. In order for businesses to have these advantages, they need to know and analyze their consumers. This study aimed to develop an alternative analysis method by using classification algorithms and regression analysis to measure and evaluate the effect of consumers' BR perceptions on their willingness to pay premium prices (WPP).

Design/methodology/approach

The research data were collected from 483 participants by the online survey method due to the COVID-19 pandemic. The data were first analyzed with regression analysis, and the effect of BR on WPP was found to be significant. Then, using artificial intelligence (AI) methods that were not used in previous studies, consumers' perceptions of BR and WPP were clustered and classified.

Findings

The results revealed the highest and lowest customer groups with BR and WPP and empirically demonstrated that highly accurate practical classification models can be applied to determine strategies in line with these findings.

Originality/value

The model proposed in this study offers an integrated approach by using AI and regression analysis together and tries to fill the gap in the literature in this field. Therefore, the novelty of this study is to quantitatively reveal and evaluate the relationship between BR and WPP by using AI classification algorithms and regression analysis together.

Details

Kybernetes, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0368-492X

Keywords

Article
Publication date: 18 October 2021

John Peter Cooney, David Oloke and Louis Gyoh

This study aims to demonstrate the possibility of showing the functionality of complex microbial groups, within ancient structures within a process of refurbishment on a heritage…

Abstract

Purpose

This study aims to demonstrate the possibility of showing the functionality of complex microbial groups, within ancient structures within a process of refurbishment on a heritage building information modelling (BIM) platform.

Design/methodology/approach

Both a qualitative and qualitative research method will be used throughout, as observational and scientific results will be obtained and collated. This path being; phenomena – acquisition tools – storage – analysis tools – literature. Using this methodology, one pilot study within the scope of demolition and refurbishment, using suitable methods of collecting and managing data (structural or otherwise), will be used and generated by various software and applications. The principle methods used for the identification of such micro-organisms will incorporate a polymerase chain reaction method (PCR), to amplify DNA and to identify any or all spores present. The BIM/historical BIM (HBIM) process will be used to create a remotely-based survey to obtain and collate data using a laser scanner to produce a three-dimensional point cloud model to evaluate and deduce the condition, make-up and stature of the monument. A documentation management system will be devised to enable the development of plain language questions and an exchange information requirement, to identify such documentation required to enable safe refurbishment and to give health and safety guidance. Four data sampling extractions will be conducted, two for each site, within the research, for each of the periods being assessed, that being the Norman and Tudor areas of the monument.

Findings

From laboratory PCR analysis, results show a conclusive presence of micro-organism groups and will be represented within a hierarchical classification, from kingdom to species.

Originality/value

The BIM/HBIM process will highlight results in a graphical form to show data collected, particularly within the PCR application. It will also create standardisation and availability for such data from ancient monuments to make available all data stored, as such analysis becomes substantially important to enable the production of data sets for comparison, from within the framework of this research.

Details

Journal of Engineering, Design and Technology , vol. 21 no. 4
Type: Research Article
ISSN: 1726-0531

Keywords

Article
Publication date: 29 December 2022

Hajer Chenini and Anis Jarboui

Financial theory is based on the assumption of rationality of individuals. Defenders of behavioral finance recommend that the rationality hypothesis of efficiency theory is too…

Abstract

Purpose

Financial theory is based on the assumption of rationality of individuals. Defenders of behavioral finance recommend that the rationality hypothesis of efficiency theory is too narrow and irrelevant (Barberis and Thaler, 2002). The irrationality of the investor is reflected in his choice and his behaviour. However, his choice depends on the way the problem is formulated and described. The irrational investor does not think in terms of final wealth but rather in terms of gains and losses.

Design/methodology/approach

This research is interested in the methods of classification of the investors in homogeneous groups. In the study, the classification method used to group individual in the sample is the dynamic aggregation method. However, to identify the number of groups to use in this method, the authors also used the hierarchical method on a sub-sample. Thus, to this end the authors present a topological analysis to test the hypothesis of the heterogeneity of Tunisian investor groups in terms of belief.

Findings

The results suggest that the majority of investors are quite irrational. Therefore, the Tunisian investor considers itself irrational because of the presence of several anomalies in its behavior.

Originality/value

This research proposes to help identify the variables that are truly determining in the process of interpreting information. The authors wish to formulate recommendations for the use of information, in order to help professionals and investors in the orientation of the investment strategy. In particular, the authors attempt to indicate the variables to which attention should be paid. In addition, behavioral financial analysis is useful for investors. Thus, taking into account certain irrational phenomena is important to make a decision. In addition, it allows to better identify the investor's own shortcomings and to detect certain negative trends.

Details

International Journal of Social Economics, vol. 50 no. 4
Type: Research Article
ISSN: 0306-8293

Keywords

1 – 10 of over 7000