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Articles 1 - 14 of 14
Full-Text Articles in Business
An Integrated Fuzzy Goal Programming—Theory Of Constraints Model For Production Planning And Optimization, Habib Zare, Mahyar Kamali Saraji, Madjid Tavana, Dalia Streimikiene, Fausto Cavallaro
An Integrated Fuzzy Goal Programming—Theory Of Constraints Model For Production Planning And Optimization, Habib Zare, Mahyar Kamali Saraji, Madjid Tavana, Dalia Streimikiene, Fausto Cavallaro
Business Systems and Analytics Faculty Work
Manufacturing companies are under constant pressure to optimize the economic sustain-ability of their production systems. Production planning and optimization is a well-established strategy for considering resource constraints and improving economic productivity. This study proposes an integrated fuzzy goal planning and the theory of constraints for production planning and optimization. To this end, a hybrid Delphi–Buckley method was used to identify the relevant goals and a paired matrix questionnaire was used to determine the fuzzy weights of the goals. Furthermore, a fuzzy bottleneck detection algorithm was used to deal with the bottlenecks. A case study in the cable industry is presented …
Innovation Dynamics And Financial Stability: A European Union Perspective, Francisco Javier Santos-Arteaga, Madjid Tavana, Celia Torrecillas, Debora Di Caprio
Innovation Dynamics And Financial Stability: A European Union Perspective, Francisco Javier Santos-Arteaga, Madjid Tavana, Celia Torrecillas, Debora Di Caprio
Business Systems and Analytics Faculty Work
We present a formal and empirical framework that links the technological capacity of a country, reflected in its National System of Innovation, with the financial constraints it faces. The paper is divided into two sections. The first one introduces a stochastic growth model based on the relative level of technological development of countries, which determines their productivity and capacity to finance innovation activities. The second section describes the empirical conditioning observed in the innovation outputs of countries determined by their financial constraints and time period relative to the economic crisis of 2008. We classify a panel sample of European Union …
A Review Of Uncertain Decision-Making Methods In Energy Management Using Text Mining And Data Analytics, Madjid Tavana, Akram Shaabani, Francisco Javier Santos-Arteaga, Iman Raeesi Vanani
A Review Of Uncertain Decision-Making Methods In Energy Management Using Text Mining And Data Analytics, Madjid Tavana, Akram Shaabani, Francisco Javier Santos-Arteaga, Iman Raeesi Vanani
Business Systems and Analytics Faculty Work
The managerial and environmental studies conducted in the energy research area reflect its substantial importance, particularly when optimizing and modifying consumption patterns, transitioning to renewable sources away from fossil ones, and designing plans and systems. The aim of this study is to provide a systematic review of the literature allowing us to identify which research subjects have been prioritized in the fields of energy and sustainability in recent years, determine the potential reasons explaining these trends, and categorize the techniques applied to analyze the uncertainty faced by decision-makers. We review articles published in highly ranked journals through the period 2003–2020 …
An Efficient Controlled Elitism Non-Dominated Sorting Genetic Algorithm For Multi-Objective Supplier Selection Under Fuzziness, Vahid Hajipour, Madjid Tavana, Francisco Javier Santos-Arteaga, Alireza Alinezhad, Debora Di Caprio
An Efficient Controlled Elitism Non-Dominated Sorting Genetic Algorithm For Multi-Objective Supplier Selection Under Fuzziness, Vahid Hajipour, Madjid Tavana, Francisco Javier Santos-Arteaga, Alireza Alinezhad, Debora Di Caprio
Business Systems and Analytics Faculty Work
Supplier selection and order allocation constitute vital strategic decisions that must be made by managers within supply chain management environments. In this paper, we propose a multi-objective fuzzy model for supplier selection and order allocation in a two-level supply chain with multi-period, multi-source, and multi-product characteristics. The supplier evaluation objectives considered in this model include cost, delay, and electronic-waste (e-waste) minimization, as well as coverage and weight maximization. A signal function is used to model the price discount offered by the suppliers. Triangular fuzzy numbers are used to deal with the uncertainty of delay and e-waste parameters while the fuzzy …
The Impact Of Interwoven Integration Practices On Supply Chain Value Addition And Firm Performance, Shashi -, Madjid Tavana, Amir Shabani, Rajwinder Singh
The Impact Of Interwoven Integration Practices On Supply Chain Value Addition And Firm Performance, Shashi -, Madjid Tavana, Amir Shabani, Rajwinder Singh
Business Systems and Analytics Faculty Work
Drawing on the supply chain (SC) management literature, this article conceptualizes and empirically tests a framework that shows how both external and internal integration practices are significant and positively associated with SC value addition and firm performance. The framework also tests the impact of value addition as a reinforcing factor on firm performance. The outcome of this investigation is interesting for both SC researchers and practitioners because the current SC integration literature is conflicting. A structural equation modeling technique, using a sample of 366 large-scale manufacturing companies based in India, is considered in this paper to test the framework. The …
The Role Of Anticipated Emotions And The Value Of Information In Determining Sequential Search Incentives, Debora Di Caprio, Francisco J. Santos-Arteaga, Madjid Tavana
The Role Of Anticipated Emotions And The Value Of Information In Determining Sequential Search Incentives, Debora Di Caprio, Francisco J. Santos-Arteaga, Madjid Tavana
Business Systems and Analytics Faculty Work
We define a novel information acquisition model that accounts explicitly for the influence of positive and negative anticipated emotions in the evaluation and selection incentives of decision makers (DMs). The model focuses on the value assigned by the DMs to the information being acquired and its capacity to prevent regrettable decisions within a forward-looking sequential environment. We introduce a novel definition of value of information accounting for the two main uses that DMs can derive from it, namely, verifying the optimality or suboptimality of a potential decision and preventing the regret that may arise from a suboptimal decision. In particular, …
Strategic Signaling And New Technologically Superior Product Introduction: A Game-Theoretic Model With Simulation, Madjid Tavana, Debora Di Caprio, Francisco J. Santos-Arteaga
Strategic Signaling And New Technologically Superior Product Introduction: A Game-Theoretic Model With Simulation, Madjid Tavana, Debora Di Caprio, Francisco J. Santos-Arteaga
Business Systems and Analytics Faculty Work
User acceptance of technology is essential to determine its success. The current paper incorporates the main properties of the technology acceptance models (TAMs) developed by management scholars into a pre-commitment signaling duopolistic framework, where two competing firms must decide the level of technological improvement of the products being introduced. As a result, the corresponding equilibria of the duopolistic technological games will be determined by demand-based factors, providing a novel approach and complementing the current supply-based economic and operational research models developed in the literature. The proposed model will be simulated numerically to illustrate the strategic optimality of the update process …
A Novel Three-Stage Distance-Based Consensus Ranking Method, Nazila Aghayi, Madjid Tavana
A Novel Three-Stage Distance-Based Consensus Ranking Method, Nazila Aghayi, Madjid Tavana
Business Systems and Analytics Faculty Work
In this study, we propose a three-stage weighted sum method for identifying the group ranks of alternatives. In the first stage, a rank matrix, similar to the cross-efficiency matrix, is obtained by computing the individual rank position of each alternative based on importance weights. In the second stage, a secondary goal is defined to limit the vector of weights since the vector of weights obtained in the first stage is not unique. Finally, in the third stage, the group rank position of alternatives is obtained based on a distance of individual rank positions. The third stage determines a consensus solution …
Managing Information Uncertainty And Complexity In Decision-Making, Jurgita Antucheviciene, Madjid Tavana, Mehrabakhsh Nilashi, Romualdas Bausys
Managing Information Uncertainty And Complexity In Decision-Making, Jurgita Antucheviciene, Madjid Tavana, Mehrabakhsh Nilashi, Romualdas Bausys
Business Systems and Analytics Faculty Work
No abstract provided.
Recent Fuzzy Generalisations Of Rough Sets Theory: A Systematic Review And Methodological Critique Of The Literature, Abbas Mardani, Mehrbakhsh Nilashi, Jurgita Antucheviciene, Madjid Tavana, Romualdas Bausys, Othman Ibrahim
Recent Fuzzy Generalisations Of Rough Sets Theory: A Systematic Review And Methodological Critique Of The Literature, Abbas Mardani, Mehrbakhsh Nilashi, Jurgita Antucheviciene, Madjid Tavana, Romualdas Bausys, Othman Ibrahim
Business Systems and Analytics Faculty Work
Rough set theory has been used extensively in fields of complexity, cognitive sciences, and artificial intelligence, especially in numerous fields such as expert systems, knowledge discovery, information system, inductive reasoning, intelligent systems, data mining, pattern recognition, decision-making, and machine learning. Rough sets models, which have been recently proposed, are developed applying the different fuzzy generalisations. Currently, there is not a systematic literature review and classification of these new generalisations about rough set models. Therefore, in this review study, the attempt is made to provide a comprehensive systematic review of methodologies and applications of recent generalisations discussed in the area of …
A Multi-User Decision Support System For Online City Bus Tour Planning, Saeed Asadi Bagloee, Madjid Tavana, Debora Di Caprio, Mohsen Asadi, Mitra Heshmati
A Multi-User Decision Support System For Online City Bus Tour Planning, Saeed Asadi Bagloee, Madjid Tavana, Debora Di Caprio, Mohsen Asadi, Mitra Heshmati
Business Systems and Analytics Faculty Work
Tourism is rapidly becoming a sustainable pathway toward economic prosperity for host countries and communities. Recent advances in information and communications technology, the smartphone, the Internet and Wi-Fi have given a boost to the tourism industry. The city bus tour (CBT) service is one of the most successful businesses in the tourism industry. However, there exists no smart decision support system determining the most efficient way to plan the itinerary of a CBT. In this research, we report on the ongoing development of a mobile application (app) and a website for tourists, hoteliers and travel agents to connect with city …
Autonomous Vehicles: Challenges, Opportunities, And Future Implications For Transportation Policies, Saeed Asadi Bagloee, Madjid Tavana, Mohsen Asadi, Tracey Oliver
Autonomous Vehicles: Challenges, Opportunities, And Future Implications For Transportation Policies, Saeed Asadi Bagloee, Madjid Tavana, Mohsen Asadi, Tracey Oliver
Business Systems and Analytics Faculty Work
This study investigates the challenges and opportunities pertaining to transportation policies that may arise as a result of emerging autonomous vehicle (AV) technologies. AV technologies can decrease the transportation cost and increase accessibility to low-income households and persons with mobility issues. This emerging technology also has far-reaching applications and implications beyond all current expectations. This paper provides a comprehensive review of the relevant literature and explores a broad spectrum of issues from safety to machine ethics. An indispensable part of a prospective AV development is communication over cars and infrastructure (connected vehicles). A major knowledge gap exists in AV technology …
Self-Organizing Social Networks By Preference Similarity And The Networking Capacity Of Their Users, Debora Di Caprio, Francisco J. Santos-Arteaga, Madjid Tavana
Self-Organizing Social Networks By Preference Similarity And The Networking Capacity Of Their Users, Debora Di Caprio, Francisco J. Santos-Arteaga, Madjid Tavana
Business Systems and Analytics Faculty Work
Consider the decision faced by the user of a social media site of whether or not to accept a friendship request from another user, given the limited amount of information available before deciding. We formalize the problem by defining the expected utility trade-offs derived from the request and simulate the resulting incentives numerically. These incentives provide the basis on which to build social networks determined by the different expectations and preferences of their users. Social networks are generated using a self-organizing map to cluster the decision makers (DMs) by their friendship acceptance behaviour. This behaviour is determined by the distribution …
A Practical Taxonomy Of Methods And Literature For Managing Uncertain Spatial Data In Geographic Information Systems, Madjid Tavana, Weiru Liu, Paul Elmore, Frederick E. Petry, Brian S. Bourgeois
A Practical Taxonomy Of Methods And Literature For Managing Uncertain Spatial Data In Geographic Information Systems, Madjid Tavana, Weiru Liu, Paul Elmore, Frederick E. Petry, Brian S. Bourgeois
Business Systems and Analytics Faculty Work
Perfect information is seldom available to man or machines due to uncertainties inherent in real world problems. Uncertainties in geographic information systems (GIS) stem from either vague/ambiguous or imprecise/inaccurate/incomplete information and it is necessary for GIS to develop tools and techniques to manage these uncertainties. There is a widespread agreement in the GIS community that although GIS has the potential to support a wide range of spatial data analysis problems, this potential is often hindered by the lack of consistency and uniformity. Uncertainties come in many shapes and forms, and processing uncertain spatial data requires a practical taxonomy to aid …