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Article
Publication date: 16 August 2022

Jung Ran Park, Erik Poole and Jiexun Li

The purpose of this study is to explore linguistic stylometric patterns encompassing lexical, syntactic, structural, sentiment and politeness features that are found in…

Abstract

Purpose

The purpose of this study is to explore linguistic stylometric patterns encompassing lexical, syntactic, structural, sentiment and politeness features that are found in librarians’ responses to user queries.

Design/methodology/approach

A total of 462 online texts/transcripts comprising answers of librarians to users’ questions drawn from the Internet Public Library were examined. A Principal Component Analysis, which is a data reduction technique, was conducted on the texts and transcripts. Data analysis illustrates the three principal components that predominantly occur in librarians’ answers: stylometric richness, stylometric brevity and interpersonal support.

Findings

The results of the study have important implications in digital information services because stylometric features such as lexical richness, structural clarity and interpersonal support may interplay with the degree of complexity of user queries, the (a)synchronous communication mode, application of information service guideline and manuals and overall characteristics and quality of a given digital information service. Such interplay may bring forth a direct impact on user perceptions and satisfaction regarding interaction with librarians and the information service received through the computer-mediated communication channel.

Originality/value

To the best of the authors’ knowledge, the stylometric features encompassing lexical, syntactic, structural, sentiment and politeness using Principal Component Analysis have not been explored in digital information/reference services. Thus, there is an emergent need to explore more fully how linguistic stylometric features interplay with the types of user queries, the asynchronous online communication mode, application of information service guidelines and the quality of a particular digital information service.

Details

Global Knowledge, Memory and Communication, vol. 73 no. 3
Type: Research Article
ISSN: 2514-9342

Keywords

Article
Publication date: 15 June 2023

Abena Owusu and Aparna Gupta

Although risk culture is a key determinant for an effective risk management, identifying the risk culture of a firm can be challenging due to the abstract concept of culture. This…

Abstract

Purpose

Although risk culture is a key determinant for an effective risk management, identifying the risk culture of a firm can be challenging due to the abstract concept of culture. This paper proposes a novel approach that uses unsupervised machine learning techniques to identify significant features needed to assess and differentiate between different forms of risk culture.

Design/methodology/approach

To convert the unstructured text in our sample of banks' 10K reports into structured data, a two-dimensional dictionary for text mining is built to capture risk culture characteristics and the bank's attitude towards the risk culture characteristics. A principal component analysis (PCA) reduction technique is applied to extract the significant features that define risk culture, before using a K-means unsupervised learning to cluster the reports into distinct risk culture groups.

Findings

The PCA identifies uncertainty, litigious and constraining sentiments among risk culture features to be significant in defining the risk culture of banks. Cluster analysis on the PCA factors proposes three distinct risk culture clusters: good, fair and poor. Consistent with regulatory expectations, a good or fair risk culture in banks is characterized by high profitability ratios, bank stability, lower default risk and good governance.

Originality/value

The relationship between culture and risk management can be difficult to study given that it is hard to measure culture from traditional data sources that are messy and diverse. This study offers a better understanding of risk culture using an unsupervised machine learning approach.

Details

International Journal of Managerial Finance, vol. 20 no. 2
Type: Research Article
ISSN: 1743-9132

Keywords

Article
Publication date: 15 March 2024

Francesco Salomone Marino and Maria Berrittella

The main aim of this study is to investigate the role of fathers and mothers in the intergenerational educational persistence for sons and daughters under two dimensions that…

Abstract

Purpose

The main aim of this study is to investigate the role of fathers and mothers in the intergenerational educational persistence for sons and daughters under two dimensions that characterize the clusters of countries: redistributive policy and governance.

Design/methodology/approach

Data from the Global Database of Intergenerational Mobility (GDIM), hierarchical cluster analysis on principal components and panel regression are used in this study to estimate intergenerational educational correlation and to investigate its determinants related to the parents’ and descendants’ education variables in 93 countries grouped in four clusters. The empirical analysis is differentiated by gender combinations of parents and descendants.

Findings

In the clusters of countries characterized by high inequalities and poor governance, our findings show that the role of the fathers is stronger than that of the mothers in educational transmission; fathers and mothers are more influential for the daughters rather than for the sons; parental educational privilege is the main driver of intergenerational educational persistence; there is an inverse U-curve in the association between educational inequality of the parents and educational correlation for the sons. Differently, in the countries characterized by high income, low redistributive conflict and better governance, the role of the mothers is stronger and education mobility for the daughters is higher than that for the sons.

Social implications

The authors’ results remark on the importance of social welfare policies aimed to expand a meritocratic public education system including schooling transfers for lower social class students and narrowing the gender gap in educational mobility between daughters and sons. Social welfare policies should also be oriented to spread high quality child care systems that help to foster greater women equality in the labor market, because the strength of educational persistence depends on the position of the mother in the economic hierarchy.

Originality/value

The distinctiveness of the paper can be found in the fact that this study investigates the parental role differentiating by gender and coupling hierarchical cluster analysis on principal components with panel regression models. This allows us to have a sample of 93 countries aggregated in four groups defined in two dimensions: redistributive policy and governance. Amongst the determinants of educational transmission, we consider not only education’s years of the parents but also other determinants, such as educational inequality and privilege of the parents. We also identify the effects of investment in human capital and educational inequalities for the descendants on education mobility.

Article
Publication date: 18 October 2022

Osamudiamen Kenneth Otasowie and Ayodeji Emmanuel Oke

The paper assessed the required drivers of mentoring practices in construction-related firms: a perspective of the quantity surveying (QS) firms in Nigeria with a view to…

Abstract

Purpose

The paper assessed the required drivers of mentoring practices in construction-related firms: a perspective of the quantity surveying (QS) firms in Nigeria with a view to providing possible drivers for effective mentoring relationships in the respective construction firms.

Design/methodology/approach

Survey design was used to assess the level of knowledge, mentoring concept adoption and the required drivers of mentoring relationships in construction-related firms. QS firms in Abuja, Nigeria were sampled through the use of semi-structured questionnaires. A total of 149 questionnaires were administered to principal partners, partners, senior quantity surveyors and quantity surveyors in QS firms in Abuja through personal delivery. A total of 142 of them were returned and found suitable for analysis, representing 95.30% effective response rate. Percentage, mean, Kruskal–Wallis and factor analyses were utilized for the analysis of the data.

Findings

The study revealed an appreciable knowledge of mentoring concept but not so much with the adoption in the respective firms. This connotes that there is a problem with the adoption of mentoring concept in construction-related firms despite knowledge of the concept. Also revealed by the study, are the required drivers of mentoring practices in construction-related firms.

Practical implications

The findings show the required drivers of mentoring practices in construction-related firms and the recommendations to further the adoption and implementation of these drivers to ensure mentoring practices thrive in construction-related firms in the country.

Originality/value

This paper reveals the required drivers of mentoring practices in Nigerian construction-related firms and provides ways through which the drivers can be implemented in the construction firms.

Details

Engineering, Construction and Architectural Management, vol. 31 no. 3
Type: Research Article
ISSN: 0969-9988

Keywords

Article
Publication date: 8 February 2024

John Hyland, Maeve Mary Henchion, Oluwayemisi Olomo, Jennifer Attard and James Gaffey

The aim of this paper is to better understand European consumers' behaviour in relation to Short Food Supply Chains (SFSCs), so as to provide insights to support their development…

Abstract

Purpose

The aim of this paper is to better understand European consumers' behaviour in relation to Short Food Supply Chains (SFSCs), so as to provide insights to support their development as part of a sustainable food system. Specifically, it aims to analyse consumer purchase patterns, motivations and perceived barriers and to identify patterns of behaviour amongst different consumer groups.

Design/methodology/approach

An online consumer survey was conducted in 12 European countries (n = 2,419). Quantitative data analysis, including principal component analysis (PCA) and cluster analysis, was undertaken using SPSS.

Findings

Four consumer clusters are named according to their behavioural stage in terms of SFSC engagement: Unaware Unengaged, Aware Unengaged, Motivationally Engaged and Executively Engaged. Unaware Unengaged and Aware Unengaged are in the non-engagement phase of behaviour. Motivationally Engaged are motivationally activated to engage in the behaviour but fail to do so consistently. Executively Engaged is the fully engaged cluster, being motivated to act and purchasing local food on a frequent basis. The results show an interesting interplay between motivations and barriers, i.e. higher scores for motivations and lower scores for barriers do not necessarily translate into higher purchase frequency.

Originality/value

The research gleans insights into the contextual factors that may inhibit SFSC purchases in different consumer segments. It offers practical implications for policymakers and others seeking to develop SFSCs as part of a sustainable food system.

Details

British Food Journal, vol. 126 no. 4
Type: Research Article
ISSN: 0007-070X

Keywords

Article
Publication date: 28 March 2024

Elisa Gonzalez Santacruz, David Romero, Julieta Noguez and Thorsten Wuest

This research paper aims to analyze the scientific and grey literature on Quality 4.0 and zero-defect manufacturing (ZDM) frameworks to develop an integrated quality 4.0 framework…

Abstract

Purpose

This research paper aims to analyze the scientific and grey literature on Quality 4.0 and zero-defect manufacturing (ZDM) frameworks to develop an integrated quality 4.0 framework (IQ4.0F) for quality improvement (QI) based on Six Sigma and machine learning (ML) techniques towards ZDM. The IQ4.0F aims to contribute to the advancement of defect prediction approaches in diverse manufacturing processes. Furthermore, the work enables a comprehensive analysis of process variables influencing product quality with emphasis on the use of supervised and unsupervised ML techniques in Six Sigma’s DMAIC (Define, Measure, Analyze, Improve and Control) cycle stage of “Analyze.”

Design/methodology/approach

The research methodology employed a systematic literature review (SLR) based on PRISMA guidelines to develop the integrated framework, followed by a real industrial case study set in the automotive industry to fulfill the objectives of verifying and validating the proposed IQ4.0F with primary data.

Findings

This research work demonstrates the value of a “stepwise framework” to facilitate a shift from conventional quality management systems (QMSs) to QMSs 4.0. It uses the IDEF0 modeling methodology and Six Sigma’s DMAIC cycle to structure the steps to be followed to adopt the Quality 4.0 paradigm for QI. It also proves the worth of integrating Six Sigma and ML techniques into the “Analyze” stage of the DMAIC cycle for improving defect prediction in manufacturing processes and supporting problem-solving activities for quality managers.

Originality/value

This research paper introduces a first-of-its-kind Quality 4.0 framework – the IQ4.0F. Each step of the IQ4.0F was verified and validated in an original industrial case study set in the automotive industry. It is the first Quality 4.0 framework, according to the SLR conducted, to utilize the principal component analysis technique as a substitute for “Screening Design” in the Design of Experiments phase and K-means clustering technique for multivariable analysis, identifying process parameters that significantly impact product quality. The proposed IQ4.0F not only empowers decision-makers with the knowledge to launch a Quality 4.0 initiative but also provides quality managers with a systematic problem-solving methodology for quality improvement.

Details

The TQM Journal, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1754-2731

Keywords

Article
Publication date: 9 October 2023

Isah Shittu and Ayoib Che-Ahmad

The purpose of this study is to examine the impact of selected corporate governance (CG) variables on the equity value multiple (EVM) of listed firms in Nigeria.

Abstract

Purpose

The purpose of this study is to examine the impact of selected corporate governance (CG) variables on the equity value multiple (EVM) of listed firms in Nigeria.

Design/methodology/approach

The research used data obtained from 100 firms listed on the Nigerian Stock Exchange (NSE) from 2014 to 2018. A generalized method of moment was used to estimate the relationship, whereas principal component analysis was used to generate composite values of EVMs.

Findings

Findings reveal a significant association between board size, board independence, board gender diversity, managerial shareholding, audit committee independence, disclosure of CG information and EVM at a 1% level of significance.

Research limitations/implications

This study was limited to firms that disclosed information on CG and EVMs.

Practical implications

These empirical findings lend support to agency theory, which suggests the use of various CG variables as a way of reducing principal-agent conflicts. It also lends support to resource dependency theory from a gender diversity perspective.

Originality/value

The study is a pioneering effort toward unlocking the relationship between some CG variables and the EVMs, focusing on firms listed on the NSE.

Details

Corporate Governance: The International Journal of Business in Society, vol. 24 no. 2
Type: Research Article
ISSN: 1472-0701

Keywords

Article
Publication date: 11 October 2023

Sabrina Sgambati and Luís Carvalho

This paper aims to investigate the competitive potential of different classes of municipalities within larger metropolitan areas, considering three dimensions of place…

Abstract

Purpose

This paper aims to investigate the competitive potential of different classes of municipalities within larger metropolitan areas, considering three dimensions of place competitiveness, associated to contemporary economic recovery agendas: the “dual transition” (green and digital) and socio-economic resilience.

Design/methodology/approach

The proposed methodology is divided in two stages, the first aiming at developing a new Index of Urban Competitiveness, based on three key dimensions of place development, by using principal component analysis and hierarchical cluster analysis; the second intends to identify municipalities’ main competitive assets, throughout the examination of the existing links between the overall competitiveness index and intra-metropolitan place conditions in each dimension. This methodology is applied to the metropolitan areas of Porto and Lisbon.

Findings

The analysis shows a weak link between population size and urban competitiveness, suggesting that economic recovery investments primarily targeting larger municipalities will not necessarily lead to greater metropolitan competitive advantages. On the contrary, taking into consideration place-based interventions for different “clubs” of municipalities would more likely contribute to enhance competitive performance and valorise territorial assets. Furthermore, while the relationship between competitiveness and environmental performance appears to be non-linear, digitalization and economic and social resilience prove to be key for urban competitive potential.

Originality/value

By drawing on contemporary notions of urban competitiveness, the work proposes a revised method to evaluate competitiveness, latent qualities and intrinsic features of places, constituting an initial step to conceive suitable metropolitan development and investment strategies for economic recovery.

Details

Journal of Place Management and Development, vol. 17 no. 1
Type: Research Article
ISSN: 1753-8335

Keywords

Article
Publication date: 31 January 2024

Fernando Luis Tam Wong, Enrique Alonso Castro Guzman and Eduardo Franco Chalco

The main objective of this study was to establish a model of competitiveness factors to measure the value of construction companies adequately.

Abstract

Purpose

The main objective of this study was to establish a model of competitiveness factors to measure the value of construction companies adequately.

Design/methodology/approach

A theoretical model of four main factors was developed, and they include human capital, ethical values, process innovation and financing. Information was collected from 18 construction companies in the city of Metropolitan Lima, collecting information on each of these factors. Through an analysis of the principal components, the weighting of each factor about the competitiveness of a construction company was determined.

Findings

The cost of person-hours, the cost of equipment to execute work, and the cost of materials used are the strongest indicators to measure the competitiveness of a construction company. On the other hand, the number of employees holding university degrees and the number of master builders holding technical degrees in the human capital factor also have a moderate weight in determining the competitiveness value of a company. The indicator of work delivered within the deadline also moderately affects competitiveness. Finally, the monthly debt payment indicator has a very small effect on the company’s competitiveness.

Originality/value

In conclusion, this study provides evidence of a competitiveness model with highly related factors on human capital, process innovation and ethical values as the most important in measuring competitiveness.

Propósito

El objetivo principal de la investigación fue establecer un modelo de factores de competitividad para medir adecuadamente el valor de las empresas constructoras.

Metodología

Se desarrolló un modelo teórico de cuatro factores principales, que incluyen el capital humano, los valores éticos, la innovación de procesos y el financiamiento. Se recolectó información de 18 empresas constructoras de la ciudad de Lima Metropolitana, recolectando información de cada uno de estos factores. A través de un análisis de componentes principales se determinó la ponderación de cada uno de ellos sobre la competitividad de una empresa constructora.

Resultados

El costo de horas hombre, el costo de los equipos para ejecutar obras y el costo de material utilizado son los indicadores más fuertes para medir la competitividad de una empresa constructora. Por otro lado, la cantidad de empleados con títulos universitarios y la cantidad de maestros de obra con título técnico del factor de capital humano también tienen un peso moderado en la determinación del valor de competitividad de una empresa. El indicador de obras entregadas dentro de plazo también tiene un efecto moderado sobre la competitividad. Finalmente, el indicador de pago mensual de la deuda tiene un efecto muy pequeño sobre la competitividad de la empresa.

Originalidad

En conclusión, el estudio proporciona evidencia de un modelo de competitividad con factores altamente relacionados sobre el capital humano, la innovación de procesos y los valores éticos como los más importantes a la hora de medir la competitividad.

Details

Academia Revista Latinoamericana de Administración, vol. 37 no. 1
Type: Research Article
ISSN: 1012-8255

Keywords

Article
Publication date: 1 April 2024

Shreyasi Roy and Surendra Kumar Sia

The increasing adverse impact of human behavior toward the environment has brought in changes in research focus on environmental behavior toward the workplace. Because the…

Abstract

Purpose

The increasing adverse impact of human behavior toward the environment has brought in changes in research focus on environmental behavior toward the workplace. Because the employee spends one-third of his day in his workplace, the initiatives taken by the employee also have an impact on the company’s environmental stance. Therefore, the researchers gradually focus on employee green behavior (EGB) and its measurement. The study aims to devise a tool for measuring EGB.

Design/methodology/approach

Two studies were carried out using the survey method using the purposive sampling technique. The data were collected (Studies 1 and 2) from managers and supervisors working in manufacturing companies located in Kolkata, India.

Findings

The first study was done to extract the principal factors using an initial 30 items (N = 220). The result of the principal component analysis shows the emergence of three factors spread over 20 items with loadings above 0.40. The 20-item scale was again administered on managers and supervisors (N = 243). The second study was carried out to examine the convergent and discriminant validity as well as stability of the tool through confirmatory factor analysis (CFA) (N = 243). The result of CFA showed the presence of 16 items spread through three factors: practice and policy, digital use and recycle and reuse. Multiple fit indices support a three-factor model of the 16-item EGB scale.

Research limitations/implications

The scale would be a good measure of EGB and can be used for further research. The EGB scale is a composite scale containing three major dimensions that can be used as a complete measure of EGB.

Originality/value

The present research aims to fill the current gap by building a comprehensive tool for measuring EGB. The present scale has also addressed the shortcoming of the previous scale and tried to include varied proenvironmental behaviors exhibited in the workplace.

Details

Journal of Asia Business Studies, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1558-7894

Keywords

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