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Publication date: 4 March 2025

Marija Geiger Zeman, Geran-Marko Miletić and Martina Topić

The topic of well-being has been visible in academic and other discussions in recent years, but the gender aspects of well-being are often neglected. Research on well-being is…

Abstract

The topic of well-being has been visible in academic and other discussions in recent years, but the gender aspects of well-being are often neglected. Research on well-being is related to different specific domains, whereby well-being is positioned in the context of work in the manuscript. Gender divisions and gender differences permeate the labour domain at all levels and sectors, producing and maintaining gender inequalities and gender-based asymmetries. This chapter presents a descriptive analysis of data obtained from an online well-being survey in the PR and communication sector in Croatia. Data related to three dimensions of well-being at work are presented: (1) employee relationships at work (relations with supervisor and co-workers), (2) work–life in/balance and (3) gender in/equality (gender-based discrimination and harassment). A gender perspective is also included for each dimension. It was established that most respondents: (1) work in a working environment where relationships are still based on solidarity and mutual support, (2) have problems in harmonising work and life, (3) at some stage of their career witnessed or personally experienced some forms of gender discrimination and/or sexual harassment. Gender differences are identified in every researched dimension. These gender differences produce greater challenges for women and invite work organisations to change and introduce gender sensitive policies and inclusive procedures.

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Article
Publication date: 1 December 1998

B. Cannas, S. Cincotti, A. Fanni, M. Marchesi, F. Pilo and M. Usai

Many practical applications of neural networks require the identification of non‐linear deterministic systems or chaotic systems. In these cases the use of a network architecture…

289

Abstract

Many practical applications of neural networks require the identification of non‐linear deterministic systems or chaotic systems. In these cases the use of a network architecture known as locally recurrent neural network (LRNN) is often preferable in place of standard feedforward multi‐layer perceptron (MLP) networks, or of globally recurrent neural network. In this paper locally recurrent networks are used to simulate the behaviour of the Chua’s circuit that can be considered a paradigm for studying chaos. It is shown that such networks are able to identify the underlying link among the state variables of the Chua’s circuit. Moreover, they are able to behave like an autonomous Chua’s double scroll, showing a chaotic behaviour of the state variables obtainable through a suitable circuit elements choice.

Details

COMPEL - The international journal for computation and mathematics in electrical and electronic engineering, vol. 17 no. 6
Type: Research Article
ISSN: 0332-1649

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Article
Publication date: 1 June 2003

Yakup Demir and Ayşegül Uçar

Recently, the modelling and simulation of switched systems containing new nonlinear components in electronics and power electronics industry have gained importance. In this paper…

643

Abstract

Recently, the modelling and simulation of switched systems containing new nonlinear components in electronics and power electronics industry have gained importance. In this paper, both feed‐forward artificial neural networks (ANN) and adaptive network‐based fuzzy inference systems (ANFIS) have been applied to switched circuits and systems. Then their performances have been compared in this contribution by developed simulation programs. It has been shown that ANFIS require less training time and offer better performance than those of ANN. In addition, ANFIS using “clustering algorithm” to generate the rules and the numbers of membership functions gives a smaller number of parameters, better performance and less training time than those of ANFIS using “grid partition” to generate the rules. The work not only demonstrates the advantage of the ANFIS architecture using clustering algorithm but also highlights the advantages of the architecture for hardware realizations.

Details

COMPEL - The international journal for computation and mathematics in electrical and electronic engineering, vol. 22 no. 2
Type: Research Article
ISSN: 0332-1649

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Article
Publication date: 4 January 2022

Natalia Soboleva

The purpose of this paper is to explore the effect of work values and socio-demographic characteristics upon the link between life satisfaction and job satisfaction.

646

Abstract

Purpose

The purpose of this paper is to explore the effect of work values and socio-demographic characteristics upon the link between life satisfaction and job satisfaction.

Design/methodology/approach

The European Values Study (EVS) 2008–2009 is used as the dataset. The sample is limited to those who have paid jobs (28,653 cases).

Findings

Socio-demographic characteristics matter more than work values in explaining the effect of job satisfaction on life satisfaction. The association between life satisfaction and job satisfaction is stronger for higher educated individuals and those who are self-employed and weaker for women, married individuals, religious individuals and those who are younger. Extrinsic and intrinsic work values significantly influence life satisfaction independent of the level of job satisfaction.

Practical implications

It is important to pay attention to the working conditions and well-being of the core of the labour force, in other words, of those who are ready to invest more in their jobs. Also, special attention should be given to self-employment.

Originality/value

The paper compares the roles of work values and of socio-demographic characteristics as predictors of the association between job satisfaction and life satisfaction. It shows that the role of job in person's life depends largely on demographic factors, religiosity and socio-economic factors.

Details

International Journal of Sociology and Social Policy, vol. 42 no. 11-12
Type: Research Article
ISSN: 0144-333X

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Article
Publication date: 16 October 2023

Hugo Briseño, Lourdes Maisterrena and Manuel Soto-Pérez

This research aims to find which components of Decent Work are associated with Subjective Well-Being.

133

Abstract

Purpose

This research aims to find which components of Decent Work are associated with Subjective Well-Being.

Design/methodology/approach

With data from 2021 from the states of Mexico, econometric models are carried out.

Findings

It is found that disposable income and satisfaction with leisure time have a significant positive relationship with employees' Subjective Well-Being. Likewise, the rate of critical occupancy conditions and informality rate have a significant negative relationship with Subjective Well-Being. The research suggests that influencing the Decent Work conditions of the population in Mexico could favour their Subjective Well-Being.

Social implications

Share guidelines that enable employers and governments to establish strategies and policies that promote Decent Work to increase the Subjective Well-being of employees.

Originality/value

This article evaluates different variables that make up the Decent Work construct in their level of influence on Subjective Well-being. These relationships and variables considered have not been identified in previous studies as a whole.

Details

International Journal of Sociology and Social Policy, vol. 44 no. 1/2
Type: Research Article
ISSN: 0144-333X

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Article
Publication date: 7 May 2021

Edwin Alexander Henao García, Fabrice Galia and Juan Velez-Ocampo

This paper aims to assess what happens to a willingness to take entrepreneurial action when people experience low or high subjective well-being (SWB) in 12 emerging economies.

452

Abstract

Purpose

This paper aims to assess what happens to a willingness to take entrepreneurial action when people experience low or high subjective well-being (SWB) in 12 emerging economies.

Design/methodology/approach

The research uses principal component analysis (PCA) and logistic regressions with a data sample from the global entrepreneurship monitor (GEM) for emerging economies.

Findings

The main results suggest that SWB, measured as satisfaction with life (SWL) and job satisfaction (JOBS), increases the probability of a person becoming an entrepreneur.

Social implications

The findings of this research suggest that designing and implementing public policies that seek to promote the well-being of individuals might foster their entrepreneurial activities in emerging economies.

Originality/value

The literature on entrepreneurship, which assesses its relationship with SWB is still scarce. Most of the academic work has been carried out for developed countries, mainly analysing how entrepreneurial activity affects SWB in self-employees or entrepreneurs. This manuscript analyses these elements in the opposite direction, contributing to an underdeveloped discussion on how well-being affects the decision to be an entrepreneur.

Details

Journal of Entrepreneurship in Emerging Economies, vol. 14 no. 1
Type: Research Article
ISSN: 2053-4604

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Article
Publication date: 5 January 2015

Jyoti Srivastava and Padma S. Vankar

This paper aims to study carotenoids as a natural food colorant from Canna flowers. There is a growing demand for eco-friendly and non-toxic colorants, specifically for…

362

Abstract

Purpose

This paper aims to study carotenoids as a natural food colorant from Canna flowers. There is a growing demand for eco-friendly and non-toxic colorants, specifically for health-sensitive applications such as colours of food and textiles. Red Canna variety can be grown in normal garden situations and gives ample of flowers yielding good amount of natural colorant for both the purposes.

Design/methodology/approach

In the present work, ultrasound extraction of natural colorant from Canna indica flowers has been studied. The use of ultrasound is found to have a significant improvement in the extraction efficiency of colorants obtained from dry and fresh Canna flowers in different mediums. Ultrasonic cavitational processing has twofold advantages, it is an eco-friendly and cost-effective process.

Findings

The total carotenoid content in dry and fresh flower extract was found to be between 136.56 and 978.89 mg/kg. The assessment of antioxidant activity (AOA) in dry and fresh flower extract was found to be 5.78-78.33 per cent assayed by scavenging 2,2-diphenyl-1-picrylhydrazyl (DPPH) free radical and identified by electron paramagnetic resonance (EPR) studies.

Research implications/limitations

The use of ultrasonication for the extraction of colorant has been the main feature and a step towards technological advancement in the area of finding newer method of efficient extraction of the colorant.

Practical implications

The ease of extraction due to ultrasound waves has been the highlight.

Originality/value

It is for the first time that the phytochemical data of red Canna flower and has been studied, the total carotenoid content and antioxidant activities of different extracts of Canna were measured. The extraction of natural dye from C. indica flowers using ultrasound has been found to have significant improvement in the extraction efficiency of the colorant obtained from flowers.

Details

Pigment & Resin Technology, vol. 44 no. 1
Type: Research Article
ISSN: 0369-9420

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Article
Publication date: 16 January 2007

H.W. Lee, Y.J. Teng, I.A. Azid and K.N. Seetharamu

This paper seeks to introduce an optimization method for maximizing the effectiveness of the micro compact heat exchanger (MHE) under various geometrical parameters.

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Abstract

Purpose

This paper seeks to introduce an optimization method for maximizing the effectiveness of the micro compact heat exchanger (MHE) under various geometrical parameters.

Design/methodology/approach

Optimization is realized using the neuro‐genetic methodology which combines the application of artificial neural network (ANN) together with genetic algorithms (GA). The analyses are divided into two main sections; the first being the modeling and prediction using finite element method, the second being the neuro‐genetic optimization. Initial results obtained from the finite element modeling are utilized for training in ANN. Subsequently, optimization is done using GA, once a well trained ANN is achieved.

Findings

ANN accurately predicts the effectiveness of the MHE and compares well with those obtained from the finite element simulation. Optimization shows a significant improvement in the maximum effectiveness of the MHE achievable for the given range of input parameters. Additionally, computational effort has been minimized and simulation time has been drastically reduced.

Research limitations/implications

This analysis is valid for constant fluid properties and for steady‐state conditions. Additionally, optimization is limited to the range of the trained input parameters.

Practical implications

This paper is very useful for practical design of various types of heat exchangers.

Originality/value

This paper will be useful for the design of the MHE where its performance can be analyzed for a given range of geometries with minimal effort. This methodology will also be applicable for other types of heat exchangers.

Details

International Journal of Numerical Methods for Heat & Fluid Flow, vol. 17 no. 1
Type: Research Article
ISSN: 0961-5539

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Book part
Publication date: 26 January 2023

Marta Félix and Paula Arriscado

Intrapreneurship (IP) and Strategic Human Resource Management (SHRM) are a paradigm in which the current global scenario of increased homeoffice and professional globalization can

Abstract

Intrapreneurship (IP) and Strategic Human Resource Management (SHRM) are a paradigm in which the current global scenario of increased homeoffice and professional globalization can have the capacity to stimulate professionals’ autonomy and new business orientations able to re-invent new strategies, services, technologies and even leadership development. This study, of an exploratory nature, aims to analyze the synchronicities between IP and SHRM, raised by relational dynamics translated into leadership, organizational culture and individual practices having as a facilitating factor technology as an agent of change for continuous improvement (based on the Kaizen philosophy). It is supported by a qualitative analysis through a case study of a leading Portuguese group, Grupo Salvador Caetano, which has been in existence for 75 years.

The results demonstrate that dynamic relations are the synchronicities of IP and SHRM as long as stimulated and transmitted to collaborators, and that technology, facilitated these processes. The flexibility of SHRM, the sequence of delegation and implementation of relational dynamics must be the key for the synchronicities of SHRM and IP to be two phenomena that go side by side and contribute to more effective performance and evolution among collaborators, as they support each other in creating firms’ value for customers. Some contributions to theory and practice, raised through a logic of “in-house entrepreneurship,” are also presented at the end of the study.

Details

Bleeding-Edge Entrepreneurship: Digitalization, Blockchains, Space, the Ocean, and Artificial Intelligence
Type: Book
ISBN: 978-1-80262-036-8

Keywords

Available. Open Access. Open Access
Article
Publication date: 30 December 2024

Amer Jazairy, Hafez Shurrab and Fabienne Chedid

This research aims to examine the potential tensions and management strategies for adopting artificial intelligence (AI) within Sales and Operations Planning (S&OP) environments…

1304

Abstract

Purpose

This research aims to examine the potential tensions and management strategies for adopting artificial intelligence (AI) within Sales and Operations Planning (S&OP) environments.

Design/methodology/approach

We conducted in-depth interviews with eight S&OP professionals from different manufacturing firms, supplemented by interviews with AI solutions experts and secondary document analysis of various S&OP processes, to scrutinize the paradoxes associated with AI adoption in S&OP.

Findings

We revealed 12 sub-paradoxes associated with AI adoption in S&OP, culminating in 5 overarching impact pathways: (1) balancing immediate actions with long-term AI-driven strategies, (2) navigating AI adoption via centralized systems, process redesign and data unification, (3) harmonizing AI-driven S&OP identities, collaboration and technology acceptance, (4) bridging traditional human skills with innovative AI competencies and (5) managing the interrelated paradoxes of AI adoption in S&OP.

Practical implications

The findings provide a roadmap for firms to proactively address the possible tensions associated with adopting AI in S&OP, balancing standardization with flexibility and traditional expertise with AI capabilities.

Originality/value

This research offers (1) a nuanced understanding of S&OP-specific paradoxes in AI adoption, contributing to the broader literature on AI within operations management and (2) an extension to Paradox Theory by uncovering distinct manifestations at the AI–S&OP intersection.

Details

International Journal of Operations & Production Management, vol. 45 no. 13
Type: Research Article
ISSN: 0144-3577

Keywords

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