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1 – 10 of over 1000Gerarda Fattoruso, Roberta Martino, Viviana Ventre and Antonio Violi
Multi-criteria methods represent an adequate tool for solving complex decision problems that provide real support to the decision maker in the choice process. This paper analyzes…
Abstract
Purpose
Multi-criteria methods represent an adequate tool for solving complex decision problems that provide real support to the decision maker in the choice process. This paper analyzes a decision problem that recurs over time using one of the newer methods as the Parsimonious AHP.
Design/methodology/approach
In this paper we integrated the P-AHP with: (1) the weighted average which takes into account the objectivity of the data; (2) ordered weighted average (OWA) aggregation operators that address the subjective nature of the data; (3) the Choquet integral and (4) the Sugeno integral which also considers the uncertain nature of the final ranking as it is defined on a fuzzy measure.
Findings
The present paper proves that variations in the final ranking, due to the different mathematical properties of the selected aggregators, are fundamental to select the best alternative without neglecting any characteristic of the input data. In fact, it is discussed and underlined how and why the best alternative is one that never excels but has very good positions with respect to all aggregation operator rankings.
Originality/value
The aim and innovation presented in this work is the use of the Parsimonious AHP (P-AHP) method in a dynamic way with the use of different aggregation techniques.
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Bianca Arcifa de Resende, Franco Giuseppe Dedini, Jony Javorsky Eckert, Tiago F.A.C. Sigahi, Jefferson de Souza Pinto and Rosley Anholon
This study aims to propose a facilitating methodology for the application of Fuzzy FMEA (Failure Mode and Effect Analysis), comparing the traditional approach with fuzzy…
Abstract
Purpose
This study aims to propose a facilitating methodology for the application of Fuzzy FMEA (Failure Mode and Effect Analysis), comparing the traditional approach with fuzzy variations, supported by a case application in the aeronautical sector.
Design/methodology/approach
Based on experts' opinions in risk analysis within the aeronautical sector, rules governing the relationship between severity, occurrence, detection and risk factor were defined. This served as input for developing a fuzzyfied FMEA tool using the Matlab Fuzzy Logic Toolbox. The tool was applied to the sealing process in a company within the aeronautical sector, using triangular and trapezoidal membership functions, and the results were compared with the traditional FMEA approach.
Findings
The results of the comparative application of traditional FMEA and fuzzyfied FMEA using triangular and trapezoidal functions have yielded valuable insights into risk analysis. The findings indicated that fuzzyfied FMEA maintained coherence with the traditional analysis in identifying higher-risk effects, aligning with the prioritization of critical failure modes. Additionally, fuzzyfied FMEA allowed for a more refined prioritization by accounting for variations in each variable through fuzzy rules, thereby improving the accuracy of risk analysis and providing a more realistic representation of potential hazards. The application of the developed fuzzyfied FMEA approach showed promise in enhancing risk assessment in the aeronautical sector by considering uncertainties and offering a more detailed and context-specific analysis compared to conventional FMEA.
Practical implications
This study emphasizes the potential of fuzzyfied FMEA in enhancing risk assessment by accurately identifying critical failure modes and providing a more realistic representation of potential hazards. The application case reveals that the proposed tool can be integrated with expert knowledge to improve decision-making processes and risk mitigation strategies within the aeronautical industry. Due to its straightforward approach, this facilitating methodology could also prove beneficial in other industrial sectors.
Originality/value
This paper presents the development and application of a facilitating methodology for implementing Fuzzy FMEA, comparing it with the traditional approach and incorporating variations using triangular and trapezoidal functions. This proposed methodology uses the Toolbox Fuzzy Logic of Matlab to create a fuzzyfied FMEA tool, enabling a more nuanced and context-specific risk analysis by considering uncertainties.
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Lin Sun, Chunxia Yu, Jing Li, Qi Yuan and Shaoqiong Zhao
The paper aims to propose an innovative two-stage decision model to address the sustainable-resilient supplier selection and order allocation (SSOA) problem in the single-valued…
Abstract
Purpose
The paper aims to propose an innovative two-stage decision model to address the sustainable-resilient supplier selection and order allocation (SSOA) problem in the single-valued neutrosophic (SVN) environment.
Design/methodology/approach
First, the sustainable and resilient performances of suppliers are evaluated by the proposed integrated SVN-base-criterion method (BCM)-an acronym in Portuguese of interactive and multi-criteria decision-making (TODIM) method, with consideration of the uncertainty in the decision-making process. Then, a novel multi-objective optimization model is formulated, and the best sustainable-resilient order allocation solution is found using the U-NSGA-III algorithm and TOPSIS method. Finally, based on a real-life case in the automotive manufacturing industry, experiments are conducted to demonstrate the application of the proposed two-stage decision model.
Findings
The paper provides an effective decision tool for the SSOA process in an uncertain environment. The proposed SVN-BCM-TODIM approach can effectively handle the uncertainties from the decision-maker’s confidence degree and incomplete decision information and evaluate suppliers’ performance in different dimensions while avoiding the compensatory effect between criteria. Moreover, the proposed order allocation model proposes an original way to improve sustainable-resilient procurement values.
Originality/value
The paper provides a supplier selection process that can effectively integrate sustainability and resilience evaluation in an uncertain environment and develops a sustainable-resilient procurement optimization model.
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Chunyi Xian, Hessam Vali, Ruwen Tian, Jingjun David Xu and Mehmet Bayram Yildirim
The authors investigate the varying impact of three categories of conflicting consumer reviews (i.e. conflicting opinions on attributes of a product item, conflicting ratings of…
Abstract
Purpose
The authors investigate the varying impact of three categories of conflicting consumer reviews (i.e. conflicting opinions on attributes of a product item, conflicting ratings of an item and the intensity of conflicting reviews of an item) on the potential customers' perceived informativeness, which is expected to affect the perceived correct purchase.
Design/methodology/approach
To test their proposed hypotheses, the authors conducted an experiment using a 2 × 2 × 2 factorial design for each conflict type comprising two levels (low vs high).
Findings
The results of this study found that conflicting opinions on product attributes can enhance potential customers' perceptions of informativeness and subsequent correct purchase decisions while conflicting ratings and the intensity of conflicting reviews can diminish potential customers' perceptions of informativeness. In addition, conflicting ratings negatively moderate the effect of conflicting attributes on perceived informativeness such that the positive effect of conflicting attributes on perceived informativeness will be less prominent when conflicting ratings are present (vs absent).
Originality/value
While potential customers are browsing product descriptions, reviews and comments from other purchasers are also playing a role in influencing a potential customer's purchase decision. However, given the different experiences and temperaments of individuals, the subjective remarks and ratings of individuals are sometimes inconsistent or even conflicting, which can lead to confusion among potential customers. The authors categorize the positive or negative effects of the three conflicting reviews based on the two dimensions of ease of capture and product diagnosticity. The findings can help platforms optimize the display of product reviews to help potential customers make more accurate purchase decisions.
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By drawing on 18-month ethnographic fieldwork conducted among people who participate in state-regulated games of chance in Istanbul, during the recent Turkish economic crisis in…
Abstract
By drawing on 18-month ethnographic fieldwork conducted among people who participate in state-regulated games of chance in Istanbul, during the recent Turkish economic crisis in 2021–2022, and engaging with scholarly work on the anthropology of Turkey, economic anthropology and local media and grey resources, this article illustrates the rise of cryptocurrency trading in Turkey. This article shows how my participants situated the cryptocurrency trading within their own techniques to ameliorate financial volatility and to compensate their mistrust in governmental financial institutions during times of economic turbulence. Cryptocurrency trading was viewed as an investment technique that assists in accumulating savings for ensuring the future amid fluctuating national currency and polarized political realities. Meanwhile, cryptocurrency trading was also identified as a game of chance that swings between hinging on luck or skill, and the research participants debated if cryptocurrency trading is permissible in Islam (Halal) or forbidden. Therefore, this article suggests that cryptocurrency trading, although on the rise, is still a contested topic in which the boundaries between perceptions and practices of investing and gambling are blurred within the Turkish context. The controversy of the cryptocurrency trading emerges from the polarized public attitudes and the dissonance between traditional ideals, that condemn easy money and emphasize the value of hard work, in contrast to the neoliberal realities of capitalistic modes of accumulation that encourages speculation over production.
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An understanding of the role of decision-making has been emphasised since the seminal works on human information processing and professional judgements by accountants. The…
Abstract
Purpose
An understanding of the role of decision-making has been emphasised since the seminal works on human information processing and professional judgements by accountants. The interest in these topics has been reignited by the increasing digitisation of the financial reporting and auditing processes. Whilst the behavioural research on accounting is well-established, the application of seminal works in cognitive psychology and behavioural finance is lacking, especially from recent research endeavours. The purpose of this paper is to provide a synthesis of theories relating to accounting behavioural research by evaluating them against the theories of cognitive psychology.
Design/methodology/approach
Using theory synthesis, this research draws seemingly isolated strands of research into a coherent framework, underpinned by cognitive psychology.
Findings
Evidence from accounting and auditing behavioural research is largely consistent with the psychology and finance research on cognitive limitations and errors. There remains a lacuna in accounting behavioural research on debiasing techniques. Such research, if underpinned by a single, cohesive theoretical framework, is likely to have practical relevance.
Research limitations/implications
The current research has theoretical implications for the accounting decision-making and uncertainty research. Areas for future research, based on identified gaps in the current accounting behavioural research, are also proposed.
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Cristina Sierra-Casanova, María Paula Lechuga Sancho and Antonio Rafael Ramos-Rodríguez
The aim of this study is to explore the evolution of research on entrepreneurs' well-being (EWB) over the past three decades. We examined 525 scientific articles published in…
Abstract
Purpose
The aim of this study is to explore the evolution of research on entrepreneurs' well-being (EWB) over the past three decades. We examined 525 scientific articles published in academic journals.
Design/methodology/approach
The methodology used included bibliometric indicators of activity based on terms and relationships for conceptual evolution through scientific maps, strategic diagrams and thematic trends.
Findings
The results revealed the most frequently used terms by researchers and how they have changed over time, as well as the trending topics and the most popular keywords. Co-word analysis provided a dynamic view of research evolution in this field, allowing the identification of the most relevant thematic areas and their evolution.
Practical implications
Entrepreneurial well-being extends beyond economic performance, influencing individuals, organizations and society, impacting sustainability, innovation, health and economic growth. This highlights the broader implications of well-being in entrepreneurial contexts. Additionally, proposed future research directions aim to enhance the scientific discipline, advancing understanding of entrepreneurial well-being.
Originality/value
This paper stands out for its original approach in addressing and synthesizing existing literature on entrepreneurs' well-being. It offers practical and applicable insights, contributing concrete recommendations to enhance entrepreneurs' well-being, bridging theory and action meaningfully.
Propósito
El objetivo de este estudio es explorar la evolución de la investigación sobre el bienestar emprendedor (BE) en las últimas tres décadas. Examinamos 525 artículos científicos publicados en revistas académicas.
Diseño/metodología/enfoque
La metodología utilizada incluyó indicadores bibliométricos de actividad basados en términos y relaciones para la evolución conceptual a través de mapas científicos, diagramas estratégicos y tendencias temáticas.
Hallazgos
Los resultados revelaron los términos más frecuentemente utilizados por los investigadores y cómo han cambiado con el tiempo, así como los temas de tendencia y las palabras clave más populares. El análisis de co-palabras proporcionó una visión dinámica de la evolución de la investigación en este campo, permitiendo la identificación de las áreas temáticas más relevantes y su evolución.
Originalidad/valor
Ofrece percepciones prácticas y aplicables, contribuyendo con recomendaciones concretas para mejorar el bienestar de los emprendedores, vinculando de manera significativa la teoría y la práctica.
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Mohammad Akhtar and Mohammad Asim
To develop a fuzzy causal model of enterprise flexibility dimensions in a case study of Indian pharmaceutical industry.
Abstract
Purpose
To develop a fuzzy causal model of enterprise flexibility dimensions in a case study of Indian pharmaceutical industry.
Design/methodology/approach
The eight dimensions of enterprise flexibility were identified based on literature review. Fermatean fuzzy decision-making trail and evaluation laboratory (FF-DEMATEL) technique is applied to develop the cause-and-effect interrelationship model among various enterprise flexibility dimensions.
Findings
The information technology flexibility, supply chain flexibility, technical flexibility and marketing flexibility are found to be causing/influencing other flexibilities and contributing to overall enterprise flexibilities. Therefore, more attention needs to be paid to develop and sustain them for competitive advantage.
Research limitations/implications
Fermatean fuzzy sets offer more flexibility and more accurate handling complex uncertain group decision making. FF-DEMATEL is a more accurate method to develop inter-dependencies and causal model than ISM, TISM. Ratings from the limited number of decision experts (DEs) from few pharmaceutical firms were done. Future study should take bigger sample of firms and more number of DEs to generalize the findings.
Practical implications
The model will help managers in pharmaceutical industry to prioritize the dimensions of enterprise flexibility to achieve agility, responsiveness, resilience and competitive advantage.
Originality/value
To the best knowledge of the authors, causal modeling enterprise flexibility dimensions using FF-DEMATEL has been studied for the first time in a developing economy context.
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Sheak Salman, Shah Murtoza Morshed, Md. Rezaul Karim, Rafat Rahman, Sadia Hasanat and Afia Ahsan
The imperative to conserve resources and minimize operational expenses has spurred a notable increase in the adoption of lean manufacturing within the context of the circular…
Abstract
Purpose
The imperative to conserve resources and minimize operational expenses has spurred a notable increase in the adoption of lean manufacturing within the context of the circular economy across diverse industries in recent years. However, a notable gap exists in the research landscape, particularly concerning the implementation of lean practices within the pharmaceutical industry to enhance circular economy performance. Addressing this void, this study endeavors to identify and prioritize the pivotal drivers influencing lean manufacturing within the pharmaceutical sector.
Findings
The outcome of this rigorous examination highlights that “Continuous Monitoring Process for Sustainable Lean Implementation,” “Management Involvement for Sustainable Implementation” and “Training and Education” emerge as the most consequential drivers. These factors are deemed crucial for augmenting circular economy performance, underscoring the significance of management engagement, training initiatives and a continuous monitoring process in fostering a closed-loop practice within the pharmaceutical industry.
Research limitations/implications
The findings contribute valuable insights for decision-makers aiming to adopt lean practices within a circular economy framework. Specifically, by streamlining the process of developing a robust action plan tailored to the unique needs of the pharmaceutical sector, our study provides actionable guidance for enhancing overall sustainability in the manufacturing processes.
Originality/value
This study represents one of the initial efforts to systematically identify and assess the drivers to LM implementation within the pharmaceutical industry, contributing to the emerging body of knowledge in this area.
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Abstract
Purpose
Criticality cognitions regarding the same workplace event often differ between leaders and employees. Nevertheless, its consequences on employee work outcomes remain unknown. In this study, we draw on cognitive dissonance theory to examine how and why leader–employee differences in cognitions of workplace event criticality impact employee job-related outcomes.
Design/methodology/approach
Wu used multilevel polynomial regression analyses from a time-lagged, multi-source field study with 145 leader–employee dyads to test our proposed model.
Findings
Leader–employee differences in cognitions of workplace event criticality can bring both benefits and perils to employees. Specifically, such differences can cause employee rumination, which in turn leads to an increase in both employee voice and fatigue.
Originality/value
This study contributes to the event and cognitive discrepancy literature in four ways. First, prior event studies largely adopted a singular employee perspective for investigation (e.g. Chen et al., 2021; Lin et al., 2021). By examining the impacts of event criticality from the dual perspective of leaders and employees, we attain a more comprehensive understanding of the implications of workplace events in organizational life. Second, extant studies have predominantly focused on the dark side of cognitive discrepancy (e.g. Bashshur et al., 2011; Erdogan et al., 2004; Grandey et al., 2013). Our study reveals that leader–employee differences in criticality cognitions can have both a bright and a dark side on employee outcomes, offering a more balanced and dialectical view of the consequences of cognitive discrepancy. Third, drawing on cognitive dissonance theory, we introduce employee rumination as an underlying mechanism to explain the impacts of leader–employee differences in criticality cognitions on employee voice and fatigue. Finally, while prior cognitive dissonance research has primarily employed an intrapersonal perspective (e.g. Sivanathan et al., 2008; Pugh et al., 2011; Grandey et al., 2013), our study adopts an interpersonal lens and underscores that interpersonal differences in cognitions can also serve as an example of cognitive discrepancy to instigate internal dissonance processes. By doing so, we enrich our understanding of cognitive dissonance theory.
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