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Article
Publication date: 24 September 2019

Madjid Tavana and Vahid Hajipour

Expert systems are computer-based systems that mimic the logical processes of human experts or organizations to give advice in a specific domain of knowledge. Fuzzy expert…

Abstract

Purpose

Expert systems are computer-based systems that mimic the logical processes of human experts or organizations to give advice in a specific domain of knowledge. Fuzzy expert systems use fuzzy logic to handle uncertainties generated by imprecise, incomplete and/or vague information. The purpose of this paper is to present a comprehensive review of the methods and applications in fuzzy expert systems.

Design/methodology/approach

The authors have carefully reviewed 281 journal publications and 149 conference proceedings published over the past 37 years since 1982. The authors grouped the journal publications and conference proceedings separately accordingly to the methods, application domains, tools and inference systems.

Findings

The authors have synthesized the findings and proposed useful suggestions for future research directions. The authors show that the most common use of fuzzy expert systems is in the medical field.

Originality/value

Fuzzy logic can be used to manage uncertainty in expert systems and solve problems that cannot be solved effectively with conventional methods. In this study, the authors present a comprehensive review of the methods and applications in fuzzy expert systems which could be useful for practicing managers developing expert systems under uncertainty.

Details

Benchmarking: An International Journal, vol. 27 no. 1
Type: Research Article
ISSN: 1463-5771

Keywords

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Article
Publication date: 11 August 2021

Daniela Mancini, Rosa Lombardi and Madjid Tavana

This paper aims to study the role of smart technologies (e.g., artificial intelligence, Internet of Things, blockchain and analytics, among others) in the accounting…

Abstract

Purpose

This paper aims to study the role of smart technologies (e.g., artificial intelligence, Internet of Things, blockchain and analytics, among others) in the accounting environment (AE). In this context, the nuances of innovation generated by such technologies allow for tracing the merging trends in accounting research.

Design/methodology/approach

This paper uses an integrated qualitative methodology composed of structured literature analysis and systematic literature analysis to study scientific papers published and stored in prominent databases from 2000 to 2020. This paper collected a data set sharing topics related to smart technologies and innovation in the AE.

Findings

The primary findings reveal four research paths of innovation, impact, implication and intelligence in accounting research as follows: smart technologies as innovations to be managed; smart technologies as impacting tools affecting the AE in certain circumstances; smart technologies as a source generating relevant implications; and smart technologies as factors requiring new and updated knowledge, skills and abilities of actors.

Originality/value

The joint investigation of the AE and smart technologies poses a milestone for future academic and professional accounting research. This paper proposes a new framework (SMATECHacc Framework) consisting of four pathways research that can be used by future researchers to consider and construct their own research designs.

Details

Meditari Accountancy Research, vol. 29 no. 5
Type: Research Article
ISSN: 2049-372X

Keywords

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Article
Publication date: 13 June 2020

Mohamad Amin Kaviani, Madjid Tavana, Fatemeh Kowsari and Roghayeh Rezapour

The purpose of this study is to evaluate two supply chain resilience key elements of vulnerability and capability in the automotive industry.

Abstract

Purpose

The purpose of this study is to evaluate two supply chain resilience key elements of vulnerability and capability in the automotive industry.

Design/methodology/approach

We propose a fuzzy approach for statistical hypothesis testing and analyze two research hypotheses by synthesizing the results of a questionnaire given to 44 companies in the Iranian automotive industry.

Findings

The results indicate that the automotive industry in Iran should: (1) resist five elements of vulnerability, i.e. “external pressures,” “sensitivity,” “connectivity,” “supplier/customer disruptions,” and “resource limits,” and (2) embrace nine elements of capability, i.e. “flexibility in order fulfillment,” “capacity,” “efficiency,” “visibility,” “adaptability,” “recovery,” “dispersion,” “organization,” “market position” and “security” to achieve greater resiliency elasticity in the supply chain.

Originality/value

This is the first study on the supply chain resilience vulnerabilities and capabilities in the Iranian automotive industry.

Details

Benchmarking: An International Journal, vol. 27 no. 6
Type: Research Article
ISSN: 1463-5771

Keywords

Open Access
Article
Publication date: 2 September 2016

Madjid Tavana, Debora Di Caprio and Francisco J. Santos-Arteaga

The current paper aims to present a formal model illustrating how payoff imbalances among the members of a team of decision makers (DMs) who must undertake a project…

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Abstract

Purpose

The current paper aims to present a formal model illustrating how payoff imbalances among the members of a team of decision makers (DMs) who must undertake a project condition the final outcome obtained. This result builds on the fact that payoffs imbalances would lead to different performance levels among the employees and managers who compose a team. The analysis is applied to a strategic environment, where a project requiring coordination among the DMs within the team must be developed.

Design/methodology/approach

The intuition behind the strategic framework on which the results are based is twofold. The authors build on the literature on social comparisons and assume that employees and managers acquire information on the payoffs received by other members of the team while being affected by the resulting comparisons, and they follow the economic literature on firm boundaries determined via incomplete contracts. In this case, employees and managers may underperform if they feel aggrieved by the outcome of the contract giving place to deadweight losses when developing the project.

Findings

The authors illustrate how a team-based performance reward structure may lead to a coordinated equilibrium even when team managers and employees receive different payoffs and exhibit shading incentives based on the payoff differentials between them. The authors will also illustrate how identical shading intensities by both groups of DMs imply that shading by the managers imposes a lower cost on the profit structure of the firm because it leads to a lower decrease in the cooperation incentives of the other members of the team. Finally, the authors show how differences in shading intensity between both types of DMs trigger a strategic defect mechanism within the team that determines the outcome of the project.

Originality/value

The novel environment of team cooperation and defection through shading introduced in this paper is designed to deal with the strategic decisions taken by DMs when undertaking a project within a group. In particular, the intensity of shading applied by the DMs will be endogenously determined by the relative payoffs received, which allows to account for different scenarios, where relative payoff differentials among DMs determine the outcome of the project.

Details

Journal of Centrum Cathedra, vol. 9 no. 1
Type: Research Article
ISSN: 1851-6599

Keywords

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Article
Publication date: 29 March 2021

Gabriela Pereira Soares, Guilherme Tortorella, Marina Bouzon and Madjid Tavana

This study aims to propose a method for measuring lean supply chain management (LSCM) maturity based on the main lean practices and existing waste of a supply chain.

Abstract

Purpose

This study aims to propose a method for measuring lean supply chain management (LSCM) maturity based on the main lean practices and existing waste of a supply chain.

Design/methodology/approach

A three-stage approach was developed. First, a thorough literature review was performed to raise concepts and previous findings on maturity models (MMs) and LSCM. This review’s outcomes were then validated by experts in the field using the fuzzy Delphi method (FDM). Subsequently, the proposed model was illustrated and assessed based on a multi-case study.

Findings

All companies attained high outcomes in the elimination of the waste pillar. The pillars of logistics management, continuous improvement and information technology management also stood out in the three organizations’ results. The company with the lowest maturity level operates in a make-to-order production policy, which may harm the lean supply in its supply chain.

Practical implications

The proposed model can reveal external opportunities and threats and internal strengths and weaknesses in supply chains (SCs). It is also capable of providing a clear roadmap for SC improvement in companies.

Originality/value

To the best of the authors’ knowledge, no study to date has proposed a MM in the LSCM context using FDM and considering the crucial relationship between lean practices and wastes.

Details

International Journal of Lean Six Sigma, vol. 12 no. 5
Type: Research Article
ISSN: 2040-4166

Keywords

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Article
Publication date: 1 June 2021

Hannan Amoozad Mahdiraji, Madjid Tavana, Pouya Mahdiani and Ali Asghar Abbasi Kamardi

Customer differences and similarities play a crucial role in service operations, and service industries need to develop various strategies for different customer types…

Abstract

Purpose

Customer differences and similarities play a crucial role in service operations, and service industries need to develop various strategies for different customer types. This study aims to understand the behavioral pattern of customers in the banking industry by proposing a hybrid data mining approach with rule extraction and service operation benchmarking.

Design/methodology/approach

The authors analyze customer data to identify the best customers using a modified recency, frequency and monetary (RFM) model and K-means clustering. The number of clusters is determined with a two-step K-means quality analysis based on the Silhouette, Davies–Bouldin and Calinski–Harabasz indices and the evaluation based on distance from average solution (EDAS). The best–worst method (BWM) and the total area based on orthogonal vectors (TAOV) are used next to sort the clusters. Finally, the associative rules and the Apriori algorithm are used to derive the customers' behavior patterns.

Findings

As a result of implementing the proposed approach in the financial service industry, customers were segmented and ranked into six clusters by analyzing 20,000 records. Furthermore, frequent customer financial behavior patterns were recognized based on demographic characteristics and financial transactions of customers. Thus, customer types were classified as highly loyal, loyal, high-interacting, low-interacting and missing customers. Eventually, appropriate strategies for interacting with each customer type were proposed.

Originality/value

The authors propose a novel hybrid multi-attribute data mining approach for rule extraction and the service operations benchmarking approach by combining data mining tools with a multilayer decision-making approach. The proposed hybrid approach has been implemented in a large-scale problem in the financial services industry.

Details

Benchmarking: An International Journal, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1463-5771

Keywords

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Article
Publication date: 8 April 2020

Madjid Tavana, Akram Shaabani and Naser Valaei

Delivering premium services and quality products are critical strategies for success in manufacturing. Continuous improvement (CI), as an underlying foundation for quality…

Abstract

Purpose

Delivering premium services and quality products are critical strategies for success in manufacturing. Continuous improvement (CI), as an underlying foundation for quality management, is an ongoing effort allowing manufacturing companies to see beyond the present to create a bright future. We propose a novel integrated fuzzy framework for analyzing the barriers to the implementation of CI in manufacturing companies.

Design/methodology/approach

We use the fuzzy failure mode and effect analysis (FMEA) and a fuzzy Shannon's entropy to identify and weigh the most significant barriers. We then use fuzzy multi-objective optimization based on ratio analysis (MOORA), the fuzzy technique for order of preference by similarity to ideal solution (TOPSIS) and fuzzy simple additive weighting (SAW) methods for prioritizing and ranking the barriers with each method. Finally, we aggregate these results with Copeland's method and extract the main CI implementation barriers in manufacturing.

Findings

We show “low cooperation and integration of the team in CI activities” is the most important barrier in CI implementation. Other important barriers are “limited management support in CI activities,” “low employee involvement in CI activities,” “weak communication system in the organization,” and “lack of knowledge in the organization to implement CI projects.”

Originality/value

We initially identify the barriers to the implementation of CI through rigorous literature review and then apply a unique integrated fuzzy approach to identify the most important barriers based on the opinions of industry experts and academics.

Details

International Journal of Quality & Reliability Management, vol. 38 no. 1
Type: Research Article
ISSN: 0265-671X

Keywords

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Article
Publication date: 24 May 2018

Zahra Banakar, Madjid Tavana, Brian Huff and Debora Di Caprio

The purpose of this paper is to provide a theoretical framework for predicting the next period financial behavior of bank mergers within a statistical-oriented setting.

Abstract

Purpose

The purpose of this paper is to provide a theoretical framework for predicting the next period financial behavior of bank mergers within a statistical-oriented setting.

Design/methodology/approach

Bank mergers are modeled combining a discrete variant of the Smoluchowski coagulation equation with a reverse engineering method. This new approach allows to compute the correct merging probability values via the construction and solution of a multi-variable matrix equation. The model is tested on real financial data relative to US banks collected from the National Information Centre.

Findings

Bank size distributions predicted by the proposed method are much more adherent to real data than those derived from the estimation method. The proposed method provides a valid alternative to estimation approaches while overcoming some of their typical drawbacks.

Research limitations/implications

Bank mergers are interpreted as stochastic processes focusing on two main parameters, that is, number of banks and asset size. Future research could expand the model analyzing the micro-dynamic taking place behind bank mergers. Furthermore, bank demerging and partial bank merging could be considered in order to complete and strengthen the proposed approach.

Practical implications

The implementation of the proposed method assists managers in making informed decisions regarding future merging actions and marketing strategies so as to maximize the benefits of merging actions while reducing the associated potential risks from both a financial and marketing viewpoint.

Originality/value

To the best of the authors’ knowledge, this is the first study where bank merging is analyzed using a dynamic stochastic model and the merging probabilities are determined by a multi-variable matrix equation in place of an estimation procedure.

Details

International Journal of Bank Marketing, vol. 36 no. 4
Type: Research Article
ISSN: 0265-2323

Keywords

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Article
Publication date: 26 October 2010

Madjid Tavana and Aidan O'Connor

Promoting security, stability and cooperation is the raison d'être of the North Atlantic Treaty Organization (NATO) and these are the aims of its strategy of membership…

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1024

Abstract

Purpose

Promoting security, stability and cooperation is the raison d'être of the North Atlantic Treaty Organization (NATO) and these are the aims of its strategy of membership enlargement. The incentive of NATO membership has led some former Warsaw Pact applicant countries to reform their political systems, transform their economies, deal with corruption and improve social justice and human rights. However, controversy has surrounded NATO's enlargement because of the current ambiguous and subjective decision‐making process and the effect that it could have on the organization. This paper aims to present the results of a study to develop a benchmarking model as a means to assist NATO evaluate and screen potential applicant countries.

Design/methodology/approach

A novel and structured multiple‐criteria decision analysis model that considers specific NATO applicant evaluation criteria and environmental forces is offered and a template for a membership evaluation process is proposed. A total of 120 researchers in France, Germany, Switzerland and the USA provided the necessary data on the 23 countries that are analyzed in order to develop the benchmarking model. Four distinct categories were established to categorize these countries. The ranking of the countries based on Euclidean distance from the ideal state is illustrated with a classification schema outlining four typologies as beneficial believers, detrimental disadvantaged, perilous partners and apathetic acquaintances.

Findings

Among the potential applicant countries considered as “beneficial believers” are Sweden, Austria, Switzerland, Finland and Ireland while other countries, such as, Kazakhstan, Azerbaijan, Uzbekistan, Turkmenistan, Georgia, Montenegro, Kyrgyzstan and Tajikistan are considered as “detrimental disadvantaged”. Furthermore, Russia and Ukraine were identified as “perilous partners” and Malta, FYR Macedonia, Cyprus, Serbia, Belarus, Bosnia and Herzegovina, Armenia and Moldova were identified as “apathetic acquaintances”.

Practical implications

This model could be applied to other supranational organizations and multinational firms when assessing international strategic alliances.

Originality/value

The paper presents the results of a study to develop a benchmarking model as an aid in evaluating and screening potential NATO applicant countries.

Details

Benchmarking: An International Journal, vol. 17 no. 6
Type: Research Article
ISSN: 1463-5771

Keywords

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Article
Publication date: 30 May 2008

Madjid Tavana

The overwhelming majority of scientists agree the earth's temperature has risen during the past century. Nature maintains a balance to keep the earth's average surface…

Abstract

Purpose

The overwhelming majority of scientists agree the earth's temperature has risen during the past century. Nature maintains a balance to keep the earth's average surface temperature at 59 degrees Fahrenheit. About 59 degrees is to earth what 98.6 degrees is to our body. Although, the fact that the earth's temperature has risen is generally not in dispute by scientists, environmental decisions remain among the most difficult facing policy makers. Fahrenheit 59 is an environmental decision support system developed at Johnson Space Center for benchmarking global warming. This paper aims to present the details of the benchmarking model embedded in Fahrenheit 59.

Design/methodology/approach

The model attempts to establish benchmark scores that are weighted sum measures of subjective and intrinsic weights and performance scores associated with a series of global warming opportunities and threats. Fahrenheit 59 has the potential to monitor continuous progress towards countering the threat of global warming worldwide.

Findings

The European Union (EU) is at the forefront of international efforts to combat global warming. The EU has been taking serious steps to address its own greenhouse gas emissions and climate changes. A pilot study conducted resulted in a benchmarking scheme that shows of the 27‐member EU states, seven were global protectors, four were global remediators, 12 were global defectors, and four were global predators.

Originality/value

Fahrenheit 59 assists policy makers concerned about global warming to compare environmental performance with “best‐in‐class” achievements. The proposed system bridges the gap between technology and decision making to stimulate environmental awareness and activism.

Details

Benchmarking: An International Journal, vol. 15 no. 3
Type: Research Article
ISSN: 1463-5771

Keywords

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