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1 – 10 of over 12000
Article
Publication date: 22 December 2021

Gia Sirbiladze, Harish Garg, Irina Khutsishvili, Bezhan Ghvaberidze and Bidzina Midodashvili

The attributes that influence the selection of applicants and the relevant crediting decisions are naturally distinguished by interactions and interdependencies. A new method of…

Abstract

Purpose

The attributes that influence the selection of applicants and the relevant crediting decisions are naturally distinguished by interactions and interdependencies. A new method of possibilistic discrimination analysis (MPDA) was developed for the second stage to address this phenomenon. The method generates positive and negative discrimination measures for each alternative applicant in relation to a particular attribute. The obtained discrimination pair reflects the interaction of attributes and represents intuitionistic fuzzy numbers (IFNs). For the aggregation of applicant's discrimination intuitionistic fuzzy assessments (with respect to attributes), new intuitionistic aggregation operators, such as AsP-IFOWA and AsP-IFOWG, are defined and studied. The new operators are certain extensions of the well-known Choquet integral and Yager OWA operators. The extensions, in contrast to the Choquet aggregation, take into account all possible interactions of the attributes by introducing associated probabilities of a fuzzy measure.

Design/methodology/approach

For optimal planning of investments distribution and decreasing of credit risks, it is crucial to have selected projects ranked within deeply detailed investment model. To achieve this, a new approach developed in this article involves three stages. The first stage is to reduce a possibly large number of applicants for credit, and here, the method of expertons is used. At the second stage, a model of improved decisions is built, which reduces the risks of decision making. In this model, as it is in multi-attribute decision-making (MADM) + multi-objective decision-making (MODM), expert evaluations are presented in terms of utility, gain, and more. At the third stage, the authors construct the bi-criteria discrete intuitionistic fuzzy optimization problem for making the most profitable investment portfolio with new criterion: 1) Maximization of total ranking index of selected applicants' group and classical criterion and 2) Maximization of total profit of selected applicants' group.

Findings

The example gives the Pareto fronts obtained by both new operators, the Choquet integral and Yager OWA operators also well-known TOPSIS approach, for selecting applicants and awarding credits. For a fuzzy measure, the possibility measure defined on the expert evaluations of attributes is taken.

Originality/value

The comparative analysis identifies the applicants who will receive the funding sequentially based on crediting resources and their requirements. It has become apparent that the use of the new criterion has given more credibility to applicants in making optimal credit decisions in the environment of extended new operators, where the phenomenon of interaction of all attributes was also taken into account.

Article
Publication date: 21 September 2022

Sifeng Liu and Wei Tang

The purpose of this paper is to explore new ways and lay a solid foundation to solve the problem of reliability growth analysis of major aerospace equipment with various…

Abstract

Purpose

The purpose of this paper is to explore new ways and lay a solid foundation to solve the problem of reliability growth analysis of major aerospace equipment with various uncertainty data through propose new concepts of general uncertainty data (GUD) and general uncertainty variable (GUV) and build the operation system of GUVs.

Design/methodology/approach

The characteristics of reliability growth data of major aerospace equipment and the limitations of current reliability growth models have been analyzed at first. The most commonly used uncertainty system analysis methods of probability statistics, fuzzy mathematics, grey system theory and rough set theory have been introduced. The concepts of GUD and GUV for reliability growth data analysis of major aerospace equipment are proposed. The simplified form of GUV based on the “kernel” and the degree of uncertainty of GUV is defined. Then an operation system of GUVs is built.

Findings

(1) The concept of GUD; (2) the concept of GUV; (3) The novel operation rules of GUVs with simplified form.

Practical implications

The method exposed in this paper can be used to integrate complex reliability growth data of major aerospace equipment. The reliability growth models based on GUV can be built for reliability growth evaluation and forecasting of major aerospace equipment in practice. The reliability evaluation example of a solid rocket motor shows that the concept and idea proposed in this paper are feasible. The research of this paper opens up a new way for the analysis of complex uncertainty data of reliability growth of major aerospace equipment. Moreover, the operation of GUVs could be extended to the case of algebraic equation, differential equation and matrix which including GUVs.

Originality/value

The new concepts of GUD and GUV are given for the first time. The novel operation rules of GUVs with simplified form were constructed.

Article
Publication date: 6 October 2023

Jie Yang, Manman Zhang, Linjian Shangguan and Jinfa Shi

The possibility function-based grey clustering model has evolved into a complete approach for dealing with uncertainty evaluation problems. Existing models still have problems…

Abstract

Purpose

The possibility function-based grey clustering model has evolved into a complete approach for dealing with uncertainty evaluation problems. Existing models still have problems with the choice dilemma of the maximum criteria and instances when the possibility function may not accurately capture the data's randomness. This study aims to propose a multi-stage skewed grey cloud clustering model that blends grey and randomness to overcome these problems.

Design/methodology/approach

First, the skewed grey cloud possibility (SGCP) function is defined, and its digital characteristics demonstrate that a normal cloud is a particular instance of a skewed cloud. Second, the border of the decision paradox of the maximum criterion is established. Third, using the skewed grey cloud kernel weight (SGCKW) transformation as a tool, the multi-stage skewed grey cloud clustering coefficient (SGCCC) vector is calculated and research items are clustered according to this multi-stage SGCCC vector with overall features. Finally, the multi-stage skewed grey cloud clustering model's solution steps are then provided.

Findings

The results of applying the model to the assessment of college students' capacity for innovation and entrepreneurship revealed that, in comparison to the traditional grey clustering model and the two-stage grey cloud clustering evaluation model, the proposed model's clustering results have higher identification and stability, which partially resolves the decision paradox of the maximum criterion.

Originality/value

Compared with current models, the proposed model in this study can dynamically depict the clustering process through multi-stage clustering, ensuring the stability and integrity of the clustering results and advancing grey system theory.

Details

Grey Systems: Theory and Application, vol. 14 no. 1
Type: Research Article
ISSN: 2043-9377

Keywords

Book part
Publication date: 16 November 2023

M. Paola Ometto, Michael Lounsbury and Joel Gehman

How do radical technological fields become naturalized and taken for granted? This is a fundamental question given both the positive and negative hype surrounding the emergence of…

Abstract

How do radical technological fields become naturalized and taken for granted? This is a fundamental question given both the positive and negative hype surrounding the emergence of many new technologies. In this chapter, we study the emergence of the US nanotechnology field, focusing on uncovering the mechanisms by which leaders of the National Nanotechnology Initiative managed hype and its concomitant legitimacy challenges which threatened the commercial viability of nanotechnology. Drawing on the cultural entrepreneurship literature at the interface of strategy and organization theory, we argue that the construction of a naturalizing frame – a frame that focuses attention and practice on mundane, “rationalized” activity – is key to legitimating a novel and uncertain technological field. Leveraging the insights from our case study, we further develop a staged process model of how a naturalizing frame may be constructed, thereby paving the way for a decrease in hype and the institutionalization of new technologies.

Details

Organization Theory Meets Strategy
Type: Book
ISBN: 978-1-83753-869-0

Keywords

Article
Publication date: 2 June 2023

Dang Luo and Nana Zhai

The purpose of this paper is to establish a two-stage grey cloud clustering model under the panel data for the multi-attribute clustering problem with three-parameter interval…

Abstract

Purpose

The purpose of this paper is to establish a two-stage grey cloud clustering model under the panel data for the multi-attribute clustering problem with three-parameter interval grey number to evaluation of agricultural drought resistance grade of 18 cities in Henan Province.

Design/methodology/approach

The clustering process is divided into two stages. In the first stage: Combining variance and time degree, the time weight optimization model is established. Applying the prospect theory, the index weight optimization model is established. Then, with the help of grey possibility function, the first stage of grey cloud clustering evaluation is carried out. In the second stage: the weight vector group of kernel clustering is constructed, and the grey class of the object is determined. A two-stage grey cloud clustering model under the panel data for the multi-attribute clustering problem is proposed.

Findings

This paper indicates that 18 cities in Henan Province are divided into four categories. The drought capacity in Henan province is high in the east and low in the west, high in the south and low in the north and the central region is relatively stable. The drought is greatly affected by natural factors. And the rationality and validity of this model is illustrated by comparing with other methods.

Practical implications

This paper provides a practical method for drought resistance assessment, and provides theoretical support for farmers to grasp the drought information timely and improve the drought resistance ability.

Originality/value

The model in this paper solves the situation of ambiguity and randomness to some extent with the help of grey cloud possibility function. Moreover, the time weight of time degree and variance are used to reduce the volatility and the degree of subjective empowerment. Considering the risk attitude of the decision makers, the prospect theory is applied to make the index weight more objective. The rationality and validity of the model are illustrated by taking 18 cities in Henan Province as examples.

Details

Grey Systems: Theory and Application, vol. 13 no. 4
Type: Research Article
ISSN: 2043-9377

Keywords

Article
Publication date: 15 May 2023

Ehsan Kordi, Mohammadreza Abdoli and Hassan Valiyan

With the emergence of the basis of intellectual capital, competitive advantage was considered as the focus of competitive strategies, and the knowledge resulting from this…

Abstract

Purpose

With the emergence of the basis of intellectual capital, competitive advantage was considered as the focus of competitive strategies, and the knowledge resulting from this approach became the basis for the development and strategic directions of companies in various fields of the company such as finance and accounting. The purpose of this study is sustainable intellectual capital reporting framework and evaluation of key examples in the context of capital market companies.

Design/methodology/approach

The methodology of this study was exploratory from the point of view of the developmental result and based on the type of objective and qualitative and quantitative basis was used to collect the data. The statistical population in the qualitative part was university experts and in the quantitative part financial managers of capital market companies. Data collection tools were interviews in the qualitative part and fuzzy scales and language comparison checklists in the quantitative part. Therefore, first through three stages of coding, the dimensions of the model were identified, and based on the fuzzy Delphi analysis, the reliability level was determined through the average between the first round and the second round of Delphi. Finally, through the default tests, the appropriate fuzzy model was first determined, and then hierarchical fuzzy analysis based on TODIM's approach was used to determine the most favorable axis of sustainable intellectual capital reporting.

Findings

The results in the qualitative part indicate the existence of 3 categories and 6 components and 39 conceptual themes in the form of a six-dimensional model. In the quantitative part, the results showed that by confirming the dimensions identified through fuzzy Delphi analysis, the most desirable axis of intellectual capital reporting is the component of technological capital reporting, which can play a more effective role in sustainable reporting.

Originality/value

This study, relying on the importance of the consequences of sustainable intellectual capital reporting, tries to evaluate the consequences of this field of financial reporting due to the lack of a coherent theoretical framework about capital market companies. In addition, the framework presented in this study promotes integrated thinking for firms to it would provide some level of incentive to those charged with governance concerning the voluntary compliance with the sustainable intellectual capital reporting framework.

Details

Journal of Advances in Management Research, vol. 20 no. 4
Type: Research Article
ISSN: 0972-7981

Keywords

Article
Publication date: 20 February 2023

Ashley N. Patterson

This study aims to illustrate how one-sixth grade language arts teacher transforms the theory of culturally sustaining pedagogy (CSP) into practice, an effort made visible through…

Abstract

Purpose

This study aims to illustrate how one-sixth grade language arts teacher transforms the theory of culturally sustaining pedagogy (CSP) into practice, an effort made visible through classroom discourse.

Design/methodology/approach

This classroom discourse inquiry is guided by tools of reconstructive discourse analysis which encourage a complex consideration of communicative efforts with intent to deconstruct them in the process of uncovering how oppressive social power structures are maintained. Additionally, reconstructive discourse analysis drives attention to how the data analyzed can reveal both how discourse marks moments where justice is constructed as well as how unjust structures may be reshaped into those that are more equitable.

Findings

In a setting where rapport and trust have been established, intentional teacher-driven classroom discourse influenced the ability of student cultures, namely, their languages, to be sustained in the classroom on their own merits and not merely as a conduit for accessing dominant academic material.

Practical implications

The information presented in this manuscript in the form of analysis of discursive classroom moments provide examples for equity-driven practitioners to engage in similar critically reflective activities with the potential to expose instances of CSPs or to assist in the identification of instances where the taking up of CSPs should sought.

Originality/value

One difficulty in transforming theoretical stances to practical actions stems from oversimplification of CSP and related asset-based pedagogical practices as “just good teaching.” By deconstructing classroom discourse, this study can subsequently reconstruct effective, generative, culturally sustaining approaches to community practice within a classroom learning space.

Details

English Teaching: Practice & Critique, vol. 22 no. 1
Type: Research Article
ISSN: 1175-8708

Keywords

Open Access
Article
Publication date: 1 March 2022

Elisabetta Colucci, Francesca Matrone, Francesca Noardo, Vanessa Assumma, Giulia Datola, Federica Appiotti, Marta Bottero, Filiberto Chiabrando, Patrizia Lombardi, Massimo Migliorini, Enrico Rinaldi, Antonia Spanò and Andrea Lingua

The study, within the Increasing Resilience of Cultural Heritage (ResCult) project, aims to support civil protection to prevent, lessen and mitigate disasters impacts on cultural…

1934

Abstract

Purpose

The study, within the Increasing Resilience of Cultural Heritage (ResCult) project, aims to support civil protection to prevent, lessen and mitigate disasters impacts on cultural heritage using a unique standardised-3D geographical information system (GIS), including both heritage and risk and hazard information.

Design/methodology/approach

A top-down approach, starting from existing standards (an INSPIRE extension integrated with other parts from the standardised and shared structure), was completed with a bottom-up integration according to current requirements for disaster prevention procedures and risk analyses. The results were validated and tested in case studies (differentiated concerning the hazard and type of protected heritage) and refined during user forums.

Findings

Besides the ensuing reusable database structure, the filling with case studies data underlined the tough challenges and allowed proposing a sample of workflows and possible guidelines. The interfaces are provided to use the obtained knowledge base.

Originality/value

The increasing number of natural disasters could severely damage the cultural heritage, causing permanent damage to movable and immovable assets and tangible and intangible heritage. The study provides an original tool properly relating the (spatial) information regarding cultural heritage and the risk factors in a unique archive as a standard-based European tool to cope with these frequent losses, preventing risk.

Details

Journal of Cultural Heritage Management and Sustainable Development, vol. 14 no. 2
Type: Research Article
ISSN: 2044-1266

Keywords

Article
Publication date: 28 September 2023

Francesca Picciaia, Simone Terzani and Libero Mario Mari

This paper aims to analyse the role of a network in the development of female business experiences through the study of the Industrie Femminili Italiane (I.F.I.) (Italian Women’s…

Abstract

Purpose

This paper aims to analyse the role of a network in the development of female business experiences through the study of the Industrie Femminili Italiane (I.F.I.) (Italian Women’s Cooperative Enterprise), founded in 1903 in Rome to promote women’s work and their economic conditions.

Design/methodology/approach

This study applies the embeddedness theory for women’s empowerment that provides a valuable lens to explore the interactions between female entrepreneurs and their social, cultural and economic contexts.

Findings

With this study, the authors found that the network structure was used at the beginning of the past century in Italy as a useful instrument for female emancipation and empowerment, extending to common/not exceptional women entrepreneurial opportunities otherwise reserved for rich and noble women. In the interplay among the different “contexts” (political, social, cultural and cognitive), it seems to emerge the incidence of female social relationships in facing an unfavourable political and cultural context, breaking out the norms and allowing the business to exist and influencing, with the activity of the high social standing women, the cognitive structure of the other female workers, make them active participants in this entrepreneurial activity.

Research limitations/implications

This is a single case study that has shed light on a specific female network, and the authors’ findings and considerations are influenced by the shortage of data and sources available. Demonstrating that I.F.I. is the result of the collaboration of women from different social classes involved at different organisational levels, this work shows, from a historical perspective, the importance of female mutual support for their emancipation and the role played by the network structure as an amplifier of possibilities otherwise limited to rich women, the emancipation of women and minorities in countries characterised by important barriers to entrepreneurship.

Originality/value

To the best of the authors’ knowledge, this is the first paper analysing a female entrepreneurial network from a historical point of view and its role in overcoming gender barriers within the analysis of the interplaying contexts.

Details

Journal of Management History, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1751-1348

Keywords

Article
Publication date: 12 February 2024

Hamid Reza Saeidnia, Elaheh Hosseini, Shadi Abdoli and Marcel Ausloos

The study aims to analyze the synergy of artificial intelligence (AI), with scientometrics, webometrics and bibliometrics to unlock and to emphasize the potential of the…

Abstract

Purpose

The study aims to analyze the synergy of artificial intelligence (AI), with scientometrics, webometrics and bibliometrics to unlock and to emphasize the potential of the applications and benefits of AI algorithms in these fields.

Design/methodology/approach

By conducting a systematic literature review, our aim is to explore the potential of AI in revolutionizing the methods used to measure and analyze scholarly communication, identify emerging research trends and evaluate the impact of scientific publications. To achieve this, we implemented a comprehensive search strategy across reputable databases such as ProQuest, IEEE Explore, EBSCO, Web of Science and Scopus. Our search encompassed articles published from January 1, 2000, to September 2022, resulting in a thorough review of 61 relevant articles.

Findings

(1) Regarding scientometrics, the application of AI yields various distinct advantages, such as conducting analyses of publications, citations, research impact prediction, collaboration, research trend analysis and knowledge mapping, in a more objective and reliable framework. (2) In terms of webometrics, AI algorithms are able to enhance web crawling and data collection, web link analysis, web content analysis, social media analysis, web impact analysis and recommender systems. (3) Moreover, automation of data collection, analysis of citations, disambiguation of authors, analysis of co-authorship networks, assessment of research impact, text mining and recommender systems are considered as the potential of AI integration in the field of bibliometrics.

Originality/value

This study covers the particularly new benefits and potential of AI-enhanced scientometrics, webometrics and bibliometrics to highlight the significant prospects of the synergy of this integration through AI.

Details

Library Hi Tech, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0737-8831

Keywords

1 – 10 of over 12000