A5010017889- Customer Service Quality and Loyalty
- Advanced Statistical Methods and Models
- Sensory Analysis and Statistical Methods
- Cultural Differences and Values
- Community Health and Development
- Forecasting Techniques and Applications
- Statistical Distribution Estimation and Applications
- Multi-Criteria Decision Making
- Social Representations and Identity
- Job Satisfaction and Organizational Behavior
- Consumer Retail Behavior Studies
- Mental Health Research Topics
- Spatial and Panel Data Analysis
- Information and Cyber Security
- Psychological Well-being and Life Satisfaction
- Obstructive Sleep Apnea Research
- Sports Analytics and Performance
- Probabilistic and Robust Engineering Design
- Employment and Welfare Studies
- Statistical Mechanics and Entropy
- Cognitive and psychological constructs research
- Psychotherapy Techniques and Applications
- Water Quality Monitoring and Analysis
- Spectroscopy and Chemometric Analyses
- Statistical Methods and Bayesian Inference
University of Salento
2015-2024
WSB Merito University in Gdańsk
2021-2024
WSB University
2021
University of Crete
2018
Crete University Press
2018
Yarmouk University
2010
Istituto Nazionale di Fisica Nucleare, Sezione di Lecce
2007
University of Sannio
2006
This paper reports the framework, method and main findings of an analysis cultural milieus in 4 European countries (Estonia, Greece, Italy, UK). The is based on a questionnaire applied to sample built through two-step procedure post-hoc random selection from broader dataset online survey. Responses were subjected multidimensional analysis–a combination Multiple Correspondence Analysis Cluster Analysis. We identified 5 symbolic universes, that correspond basic, embodied, affect-laden,...
Applications of partial least squares structural equation modelling (PLS-SEM) often draw on survey data. While researchers go to great lengths document reliability and validity statistics that support the generalisability their findings, they overlook or ignore a more fundamental issue related data analysis—the representativeness sample. Addressing this concern, present paper offers guidelines for using weighted PLS-SEM (WPLS-SEM) algorithm apply sampling weights in model estimation. The...
Abstract The structure of knowledge about Structural Equation Modelling (SEM) based on the Partial Least Squares (PLS) estimator has been analysed by systematic and reproducible bibliometric citation analysis. This contribution aims to create a dynamic picture PLS-SEM research activity support scholars with an enhanced understanding history, present future directions this fascinating modelling approach. Analysis was conducted using Bibliometrix packageR documents extracted ( n = 3 , 854)...
Abstract In this paper we analyse the European Customer Satisfaction Index (ECSI) model measured on five different customer groups. analysis use Structural Equation Modelling, which is a general and convenient framework for statistical analysis, including traditional multivariate procedures such as factor or multiple regression modelling. To estimate structural coefficients, Multilevel Regression Model used, facilitates of hierarchical data, where observations may be nested within higher...
Abstract The aim of this paper is to define a new approach, called Hybrid Two-Step, estimate the parameters second-order latent variable (LV) model in case formative relationships between first-order and LVs. In respect, we introduce two main approaches estimation constructs through partial least squares-path modelling: so-called Repeated Indicators approach Two-Step approach. Some criticisms these methodologies are highlighted solution issue identification suggested adoption A Monte Carlo...
Although exponential technologies promise to bring unprecedented value at the socio-economic and policy levels, social acceptability preparedness for technological “singularity” should be carefully considered. In particular, whereas digital innovation is able drive an extraordinary development of entrepreneurial ventures, a number challenging issues ongoing pandemic crisis have increased need investigate how breakthrough human capital can effectively combined in order build resilient...
Abstract The changes that are constantly occurring in the labour sector have led organisations and companies to move towards digital transformation. This process was accelerated by COVID-19 pandemic conducted a massive recourse practice of remote working, which this study is understood as term for way performing work outside usual workplace with support ICT. Currently, there no flexible scales literature allow measuring benefits disadvantages working single instrument. Thus, distinction...
Abstract The diffusion of AI and big data is reshaping decision-making processes by increasing the amount information that supports decisions, while reducing direct interaction with empirical evidence. This paradigm shift introduces new sources uncertainty, as limited observability results in ambiguity a lack interpretability. need for proper analysis data-driven strategies motivates search models can describe this type bounded access to knowledge.This contribution presents novel theoretical...
Abstract In the context of using structural equation modelling to develop economic and social indicators, a debate regarding choice measurement modes for theoretical constructs is becoming very important issue, with conceptual practical implications. The nature each construct, which can be defined as reflective or formative, mainly based on considerations, but confirmatory tetrad analysis (CTA) support decisions about model specification. One flexible approach carrying out CTA involves...
The generalised maximum entropy (GME) method is presented for estimating structural equation models, where a real data set of the Service & Motor Vehicle Industry in Sweden used to show implementation method. Monte Carlo simulation comparisons are also made between GME and partial least squares (PLS) methods presence messy data. Three cases considered: outliers, missing multicollinearity. It shown that this can be considered valid alternative conventional PLS, results GME, terms mean squared...
This study explores a big and open database of soccer leagues in 10 European countries. Data related to players, teams matches covering seven seasons (from 2009/2010 2015/2016) were retrieved from Kaggle, an online platform which data are available for predictive modelling analytics competition among scientists. Based on both preliminary analysis, experts’ evaluation players’ position the football pitch, role-based indicators teams’ performance have been built used estimate win probability...
AbstractObjective: The aim of the study is to validate ability ACASM (Automated Co-occurrence Analysis for Semantic Mapping) provide a representation content therapeutic exchange that useful clinical analysis. Method: We compared case analyses good outcome psychodynamic therapy performed by group clinicians (n = 5) based on verbatim transcripts (transcript-based analysis) with another same sessions (ACASM-based analysis). Comparison concerned two levels: descriptive level and interpretative...
The authors propose a method for analyzing the psychotherapy process: discourse flow analysis (DFA). DFA is technique representing verbal interaction between therapist and patient as network, aimed at measuring therapist-patient ability to generate new meanings through time. assumes that main function of produce semiotic novelty. applied verbatim transcript psychotherapy. It defines active within therapeutic by means combined use text statistical techniques. Subsequently, it represents...
The View of Context (VOC) is a survey instrument designed to detect the content generalized affect-laden meanings embedded within large-scale cultural milieus. Generalized work as basic embodied system assumptions channelling way feeling, thinking, making de- cision. paper outlines theoretical and methodological framework VOC Semiotic Cultural Psychology - reports first study validation, aimed at analysing VOCs construct validity. tests 5 hypotheses, each them focused on characteristic that...
The aim of this paper is to study the effect management factors on enterprise performance, considering a survey that University Consortium in Engineering for Quality and Innovation has led. relationships between performance are formalized by Simultaneous Equation Model based generalized maximum entropy (GME) estimation method. format as follows. In Section 2, data collected, questionnaire evaluation, model analytical formulation introduced. 3, GME specified, showing main characteristics 4,...
Abstract This study examined the factor structure and model specifications of Interaction Anxiousness Scale (IAS) with confirmatory composite analysis (CCA) using partial least squares-structural equation modeling (PLS-SEM) a sample Italian adolescents ( $$n = 764$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow> <mml:mi>n</mml:mi> <mml:mo>=</mml:mo> <mml:mn>764</mml:mn> </mml:mrow> </mml:math> ). The CCA PLS-SEM results identified reflective nature IAS sub-scale scores,...
The study aimed to show the relevance of two types sense-making processes (i.e. cognitive and affective) in culture-based interventions. A hierarchical model based on a psychodynamic theoretical framework was tested. According this model, generalized affective meaning connoting whole field participants’ experience would have regulative, downward, causal influence specific meanings related issues addressed by intervention. Secondary analyses—namely PLS Path Modeling with higher order...
The aim of the paper is to present a Partial Least Squares Path Modeling based on high-order latent variables analyze concept General Distress. In order depict Distress concept, two approaches second construct modeling are presented and compared: repeated indicators two-step approach. It shown how implement estimation comparative study proposed.
The objective of this paper is to describe and analyse with appropriate statistical models the links between work quality latent factors. Due complexity task, analysis carried out through a two-step approach: In first step, we construct some multidimensional measures subjective work, using nonlinear principal component (NPCA) Rasch Rating Scale Model (NPCA-RSM);In second adopt Structural Equation based on generalized maximum entropy (SEM-GME) integrate achieved previous step evaluate...
Abstract In recent years, global events have redefined working life, stimulating new organizational models. This work focuses on job crafting, which is considered the way to improve relationship between some variables and other individual such as identification satisfaction with communication, both of are crucial achieving sustainable levels well-being. The study examines role latent constructs that can promote adaptive responses well their relations. particular, we focus in promoting...