Business Commons^™

Spacecraft Tracking Control And Synchronization: An Assessment Of Conventional, Unconventional, And Combined Methods, Muhammet Deveci, Dragan Pamucar, Ilgin Gokasar, Madjid Tavana

Business Systems and Analytics Faculty Work

Artificial intelligence (AI) promises breakthroughs in space operations, from mission design planning to satellite data processing and navigation systems. Advances in AI and space transportation have enabled AI technologies in spacecraft tracking control and synchronization. This study assesses and evaluates three alternative spacecraft tracking control and synchronization (TCS) approaches, including non-AI TCS methods, AI TCS methods, and combined TCS methods. The study proposes a hybrid model, including a new model for defining weight coefficients and interval type-2 fuzzy sets based combined compromised solution (IT2FSs-CoCoSo) to solve the spacecraft TCS problem. A new methodology is used to calculate the weight coefficients …

The Dynamics Of Esports Crowdfunding Campaign Success: A Social Exchange Perspective, Hanhan Xue, James Du, Anthony D. Pizzo, Bradley J. Baker, Thomas E. Henry, Grace Yan, Nicholas M. Watanabe

Management and Leadership Faculty work

Esports—a professionalized, commercialized, and spectatorial form of video game competition—is a burgeoning industrial sector that has relied on entrepreneurial community support and multi-platform media distribution modalities to catalyze its growth. In particular, the esports industry is increasingly turning towards grass- roots crowdfunding to gain access to financial resources that can be used to facili- tate tournament prizes. However, what remains unclear is which factors contribute to grassroots esports crowdfunding campaigns’ success. We used social exchange theory to identify important social and economic attributes that may influence the outcomes of esports crowdfunding projects. For methods, we scraped crowdfunding data from Matcherino …

A Bi-Objective Hybrid Vibration Damping Optimization Model For Synchronous Flow Shop Scheduling Problems, Madjid Tavana, Vahid Hajipour, Mohammad Alaghebandha, Debora Di Caprio

Business Systems and Analytics Faculty Work

Flow shop scheduling deals with the determination of the optimal sequence of jobs processing on machines in a fixed order with the main objective consisting of minimizing the completion time of all jobs (makespan). This type of scheduling problem appears in many industrial and production planning applications. This study proposes a new bi-objective mixed-integer programming model for solving the synchronous flow shop scheduling problems with completion time. The objective functions are the total makespan and the sum of tardiness and earliness cost of blocks. At the same time, jobs are moved among machines through a synchronous transportation system with synchronized …

A Comparative Performance Analysis Of Intelligence-Based Algorithms For Optimizing Competitive Facility Location Problems, Vahid Hajipour, Seyed Taghi Akhavan Niaki, Madjid Tavana, Francisco J. Santos-Arteaga, Sanaz Hosseinzadeh

Business Systems and Analytics Faculty Work

Most companies operate to maximize profits and increase their market shares in competitive environments. Since the proper location of the facilities conditions their market shares and profits, the competitive facility location problem (CFLP) has been extensively applied in the literature. This problem generally falls within the class of NP-hard problems, which are difficult to solve. Therefore, choosing a proper solution method to optimize the problem is a key factor. Even though CFLPs have been consistently solved and investigated, an important question that keeps being neglected is how to choose an appropriate solution technique. Since there are no specific criteria for …

Esports Fan Engagement: A Comparison Of Pc And Console Esports Team Fans, Marcel Huettermann, Anthony D. Pizzo

Management and Leadership Faculty work

Esports, competitive video game competitions, are a leading digital innovation at the nexus of sports, business, and technology. Given their prominent position, esports have received extensive media and academic attention. In particular, esports fans, primarily tech-savvy and affluent young adults, have been the foci of this attention. Accordingly, a large number of studies has centered on these influential consumers, examining their motives to spectate, support, and follow esports teams and players. To date, esports have been examined very broadly, neglecting differences in the multitude of games, genres, and platforms which influence their consumption. In particular, the platform (or medium), plays …

Non-Fungible Tokens: A Research Primer And Implications For Sport Management, Bradley Baker, Anthony D. Pizzo, Yiran Su

Management and Leadership Faculty work

Non-fungible tokens (NFTs) have gained considerable media attention and sparked growing public interest. NFTs are unique units of data recorded on a permanent ledger or blockchain. NFTs are used to record ownership of both physical and digital goods. Prominent sport organizations have embraced NFTs for innovative growth opportunities such as generating revenue via novel digital products (e.g., digital collectibles). For example, the National Basketball Association (NBA) launched NBA Top Shot, an online marketplace to buy and sell digital sports highlights. Sport organizations are exploring future innovation opportunities where there is a need to reliably track and verify authenticity or ownership …

A Parameter Tuned Hybrid Algorithm For Solving Flow Shop Scheduling Problems With Parallel Assembly Stages, Mona Jabbari, Madjid Tavana, Parviz Fattahi, Fatemeh Daneshamooz

Business Systems and Analytics Faculty Work

In this paper, we study the scheduling problem for a customized production system consisting of a flow shop production line with a parallel assembly stage that produces various products in two stages. In the first stage of the production line, parts are produced using a flow shop production line, and in the second stage, products are assembled on one of the parallel assembly lines. The objective is to minimize the time required to complete all goods (makespan) using efficient scheduling. A mathematical model is developed; however, the model is NP-hard and cannot be solved in a reasonable amount of time. …

A Comprehensive Framework For Sustainable Closed-Loop Supply Chain Network Design, Madjid Tavana, Hadi Kian, Arash Khslili Nasr, Kannan Govindan, Hassan Mina

Business Systems and Analytics Faculty Work

Many companies face challenges in reducing their supply chain costs while increasing sustainability and customer service levels. A comprehensive framework for a sustainable closed-loop supply chain (CLSC) network is a practical solution to these challenges. Hence, for the first time, this study considers an integrated multio-bjective mixed-integer linear programming (MOMILP) model to design sustainable CLSC networks with cross-docking, location-inventory-routing, time window, supplier selection, order allocation, transportation modes with simultaneous pickup, and delivery under uncertainty. An intelligent simulation algorithm is proposed to produce CLSC network data with probabilistic distribution functions and feasible solution space. In addition, a fuzzy goal programming approach …

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 …

An Integrated Group Fuzzy Best-Worst Method And Combined Compromise Solution With Bonferroni Functions For Supplier Selection In Reverse Supply Chains, Madjid Tavana, Akram Shaabani, Debora Di Caprio, Abbas Bonyani

Business Systems and Analytics Faculty Work

Choosing the right supplier has a significant impact on the efficiency and productivity of a supply chain (SC). Different supplier selection models and approaches have been developed for reverse SCs. The lean, agile, resilient, and green (LARG) strategy is an innovative paradigm for supply chain competitiveness and sustainability. This study proposes a fuzzy-based methodology that integrates the fuzzy group best-worst method (FG-BWM) and the fuzzy combined compromise solution (FCoCoSo) method for supplier selection in reverse SCs within a LARG strategic paradigm. The FG-BWM is used to measure the importance weights of the supplier selection criteria. Subsequently, FCoCoSo is coupled with …

Outsiders Within: College Sport As An Avenue To Integrate International Students, Xiaochen Zhou, Anthony D. Pizzo, Daniel C. Funk

Management and Leadership Faculty work

The increasingly volatile social, cultural, and political environment in the United States has made it difficult for U.S. institutions of higher learning to retain and integrate international students, especially those from East Asian countries. Drawing upon social identity theory and the acculturation process, this study explored how college sport contributes to international students’ university identification using narrative interviews with East Asian international students who attended college football events at a U.S. university. Findings revealed that international students identified with their co-national peers for socialization purposes at football events and identified with the football spectator subgroup through the influence of domestic …

Discerning Citation Patterns In Dominant Bme Literature Streams: Lessons For Bme Scholars, J. Ben Arbaugh, Alvin Hwang, Charles J. Fornaciari, Lisa A. Burke-Smalley

Management and Leadership Faculty work

Purpose: This paper aims to compare the nature of three different business and management education (BME) research streams (online/blended learning, entrepreneurship education and experiential learning), along with their citation sources to draw insights on their support and legitimacy bases, with lessons on improving such support and legitimacy for the streams and the wider BME research field.

Design/methodology/approach: The authors analyze the nature of three BME research streams and their citation sources through tests of differences across streams.

Findings: The three streams differ in research foci and approaches such as the use of managerial samples in experiential learning, …

An Integrated And Comprehensive Fuzzy Multicriteria Model For Supplier Selection In Digital Supply Chains, Madjid Tavana, Akram Shaabani, Debora Di Caprio, Maghsoud Amiri

Business Systems and Analytics Faculty Work

Digital supply chains (DSCs) are collaborative digital systems designed to quickly and efficiently move information, products, and services through global supply chains. The physical flow of products in traditional supply chains is replaced by the digital flow of information in DSCs. This digitalization has changed the conventional supplier selection processes. We propose an integrated and comprehensive fuzzy multicriteria model for supplier selection in DSCs. The proposed model integrates the fuzzy best-worst method (BWM) with the fuzzy multi-objective optimization based on ratio analysis plus full multiplicative form (MULTIMOORA), fuzzy complex proportional assessment of alternatives (COPRAS), and fuzzy technique for order preference …

Ceo Gender And Tarp: Evidence From Credit Unions, Elizabeth W. Cooper

Department of Finance

In this paper, I examine the role of CEO gender and TARP on the behavior and financial performance of credit unions following the financial crisis. Credit Unions provide a unique sample of firms from which to study the role that gender plays in particular as women CEOs run the majority of credit unions (52%). Further, the TARP program that was extended to a small set of qualifying credit unions following the 2008 financial crisis allows this study to analyze the role that CEO gender played in how those funds were used and how the institution fared over the long-run. The …

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

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

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

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 …

Ico As Mainstream Method Of Capital Raising, Eduard Yelagin

Undergraduate Research

We develop a theory of financing entrepreneurial ventures by Initial Coin Offerings (ICOs). We show how distributed ledger technology (Blockchain) allows ventures to significantly decrease the price of issuance of new types of securities relative to a traditional venture capital (VC) approach. In addition, we discuss several types of new securities, called tokens. We explore the source of their value and benefits (and negative qualities) for entrepreneurial ventures and investors. We find that, in general, different types of tokens can provide unique benefits and additional information about a tokens’ issuer market sentiment. The following information would become available with the …

Fdi In Vietnam, Thanh Huong Tra Nguyen

Undergraduate Research

The South East Asian region is fast becoming a destination for investment. The inflow of foreign direct investment (FDI) of worldwide countries into ASEAN countries has increased significantly. According to the World Bank, among the South East Asian countries, Vietnam is considered as the new most promising market. From 2011, the net inflow of foreign investments into Vietnam has outstandingly increased, especially from East Asian countries, such as South Korea and Japan. Therefore, this paper will focus on how Vietnam become the more appealing market than some of the other ASEAN countries through the country’s competitive economic strengths. The paper …

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, …

Reaction Of Currencies To Trade War, Thanh Huong Tra Nguyen

Undergraduate Research

Recently, China has announced plans for reciprocal tariffs on $50 billions of 106 products that imported from the United States as the second response to President Donald Trump’s increasing tariffs on Chinese exports. Only in a few months, the two influential countries have consecutively announced punishment policies on each other’s exports in order to protect their advantages. The economic war between the two most powerful economies have great impact not only on currencies of themselves but also on those of other countries. After each policy was announced, different countries have their currencies fluctuated differently. The change in exchange rate is …

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

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

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

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

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

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

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

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 …