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Human emergency behaviour and psychological stress characteristic mining based on large-scale emergencies Comput. Math. Organ. Theory (IF 1.8) Pub Date : 2024-02-16 Yi Luo, Xiaoping Yang, Xiaoming Li, Zhenzhen Chen, Fangyuan Liu
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Connecting the domains: an investigation of internet domains found in Covid-19 conspiracy tweets Comput. Math. Organ. Theory (IF 1.8) Pub Date : 2023-09-04 J. D. Moffitt, Catherine King, Kathleen M. Carley
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Hidden messages: mapping nations’ media campaigns Comput. Math. Organ. Theory (IF 1.8) Pub Date : 2023-08-29 Keeley Erhardt, Alex Pentland
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Is more always better? Unveiling the impact of contributor dynamics on collaborative mapping Comput. Math. Organ. Theory (IF 1.8) Pub Date : 2023-08-21 Aylin McGough, Hamdi Kavak, Ron Mahabir
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Applications of agent-based modeling and simulation in organization management: a quarter-century review through bibliometric mapping (1998–2022) Comput. Math. Organ. Theory (IF 1.8) Pub Date : 2023-07-24 Jiunyan Wu, Takaki Ohya, Tomoki Sekiguchi
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Two probability theories and a garbage can Comput. Math. Organ. Theory (IF 1.8) Pub Date : 2023-06-23 David Mortimore, Mustafa Canan, Raymond R. Buettner
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How allocation of resources and attention aids in pursuing multiple organizational goals Comput. Math. Organ. Theory (IF 1.8) Pub Date : 2023-05-20 Minyoung Choi, Jae-Suk Yang
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Developing an agent-based model to minimize spreading of malicious information in dynamic social networks Comput. Math. Organ. Theory (IF 1.8) Pub Date : 2023-04-12 Mustafa Alassad, Muhammad Nihal Hussain, Nitin Agarwal
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280 characters to the White House: predicting 2020 U.S. presidential elections from twitter data Comput. Math. Organ. Theory (IF 1.8) Pub Date : 2023-03-28 Rodrigue Rizk, Dominick Rizk, Frederic Rizk, Sonya Hsu
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A description and mathematization of an adaptation-based culture mechanism Comput. Math. Organ. Theory (IF 1.8) Pub Date : 2023-02-18 Leslie A. Laam, George Godlewski, Wayne Psek
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Knowledge sharing in a dynamic, multi-level organization: an agent-based modeling approach Comput. Math. Organ. Theory (IF 1.8) Pub Date : 2023-02-10 Bianica Pires, Joshua Goldstein, Emily Molfino, Kathryn Ziemer, Mark Orr, José Jiménez
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Integrating individual and social learning: accuracy and evolutionary viability Comput. Math. Organ. Theory (IF 1.8) Pub Date : 2022-12-26 Igor Douven, Gerhard Schurz
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Does big data serve policy? Not without context. An experiment with in silico social science Comput. Math. Organ. Theory (IF 1.8) Pub Date : 2022-11-30 Chris Graziul, Alexander Belikov, Ishanu Chattopadyay, Ziwen Chen, Hongbo Fang, Anuraag Girdhar, Xiaoshuang Jia, P. M. Krafft, Max Kleiman-Weiner, Candice Lewis, Chen Liang, John Muchovej, Alejandro Vientós, Meg Young, James Evans
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Vaccination trials on hold: malicious and low credibility content on Twitter during the AstraZeneca COVID-19 vaccine development Comput. Math. Organ. Theory (IF 1.8) Pub Date : 2022-11-28 Sameera Horawalavithana, Ravindu De Silva, Nipuna Weerasekara, N G Kin Wai, Mohamed Nabeel, Buddhini Abayaratna, Charitha Elvitigala, Primal Wijesekera, Adriana Iamnitchi
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Fake or not? Automated detection of COVID-19 misinformation and disinformation in social networks and digital media Comput. Math. Organ. Theory (IF 1.8) Pub Date : 2022-11-25 Izzat Alsmadi, Natalie Manaeva Rice, Michael J. O’Brien
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Coordinating Narratives Framework for cross-platform analysis in the 2021 US Capitol riots Comput. Math. Organ. Theory (IF 1.8) Pub Date : 2022-11-21 Lynnette Hui Xian Ng, Iain J. Cruickshank, Kathleen M. Carley
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Star-studded or equalitarianism: how does the distribution of creative stars affect exploration–exploitation balance? Comput. Math. Organ. Theory (IF 1.8) Pub Date : 2022-11-02 Jie Mi, Zaiyang Xie, Shaojie Lv
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Food supply network disruption and mitigation: an integrated perspective of traceability technology and network structure Comput. Math. Organ. Theory (IF 1.8) Pub Date : 2022-10-01 Lili Wang, Bin Hu, Yihang Feng, Yanting Duan, Wuyi Zhang
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Differences between antisemitic and non-antisemitic English language tweets Comput. Math. Organ. Theory (IF 1.8) Pub Date : 2022-09-09 Gunther Jikeli, David Axelrod, Rhonda K. Fischer, Elham Forouzesh, Weejeong Jeong, Daniel Miehling, Katharina Soemer
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Social distance “nudge:” a context aware mHealth intervention in response to COVID pandemics Comput. Math. Organ. Theory (IF 1.8) Pub Date : 2022-09-09 Shuyuan Mary Ho, Xiuwen Liu, Md Shamim Seraj, Sabrina Dickey
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Approaching (super)human intent recognition in stag hunt with the Naïve Utility Calculus generative model Comput. Math. Organ. Theory (IF 1.8) Pub Date : 2022-08-29 Lux Miranda, Ozlem Ozmen Garibary
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Drone strikes and radicalization: an exploration utilizing agent-based modeling and data applied to Pakistan Comput. Math. Organ. Theory (IF 1.8) Pub Date : 2022-07-14 Brandon Shapiro, Andrew Crooks
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Disaster world Comput. Math. Organ. Theory (IF 1.8) Pub Date : 2022-05-18 David V. Pynadath, Bistra Dilkina, David C. Jeong, Richard S. John, Stacy C. Marsella, Chirag Merchant, Lynn C. Miller, Stephen J. Read
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What can simulation test beds teach us about social science? Results of the ground truth program Comput. Math. Organ. Theory (IF 1.8) Pub Date : 2022-04-30 Asmeret Naugle, Daniel Krofcheck, Christina Warrender, Kiran Lakkaraju, Laura Swiler, Stephen Verzi, Ben Emery, Jaimie Murdock, Michael Bernard, Vicente Romero
The ground truth program used simulations as test beds for social science research methods. The simulations had known ground truth and were capable of producing large amounts of data. This allowed research teams to run experiments and ask questions of these simulations similar to social scientists studying real-world systems, and enabled robust evaluation of their causal inference, prediction, and
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The Ground Truth program: simulations as test beds for social science research methods Comput. Math. Organ. Theory (IF 1.8) Pub Date : 2022-04-18 Asmeret Naugle, Adam Russell, Kiran Lakkaraju, Laura Swiler, Stephen Verzi, Vicente Romero
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Random or preferential? Evolutionary mechanism of user behavior in co-creation community Comput. Math. Organ. Theory (IF 1.8) Pub Date : 2022-04-05 Fanshun Zhang, Congdong Li, Cejun Cao, Zhiwei Zhang
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Editorial of the Special Issue from WorldCIST'20. Comput. Math. Organ. Theory (IF 1.8) Pub Date : 2022-04-01 Inês Domingues,Ana Filipa Sequeira
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“I know you are, but what am I?” Profiling cyberbullying based on charged language Comput. Math. Organ. Theory (IF 1.8) Pub Date : 2022-02-07 Shuyuan Mary Ho, Wenyi Li
Cyberbullying has become a global problem that victimizes social media users and threatens freedom of speech. Charged language against victims undermines the sharing of opinion in the absence of online oversight. Aggressive cyberbullies routinely patrol social media to identify victims, post abusive comments, and curtail public discourse. The victims typically suffer depression and may even attempt
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Sensitivity analysis of agent-based models: a new protocol Comput. Math. Organ. Theory (IF 1.8) Pub Date : 2022-01-11 Emanuele Borgonovo, Marco Pangallo, Jan Rivkin, Leonardo Rizzo, Nicolaj Siggelkow
Agent-based models (ABMs) are increasingly used in the management sciences. Though useful, ABMs are often critiqued: it is hard to discern why they produce the results they do and whether other assumptions would yield similar results. To help researchers address such critiques, we propose a systematic approach to conducting sensitivity analyses of ABMs. Our approach deals with a feature that can complicate
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Searching for explanations: testing social scientific methods in synthetic ground-truthed worlds Comput. Math. Organ. Theory (IF 1.8) Pub Date : 2022-01-10 Aurora C. Schmidt, Christopher J. Cameron, Corey Lowman, Joshua Brulé, Amruta J. Deshpande, Seyyed A. Fatemi, Vladimir Barash, Ariel M. Greenberg, Cash J. Costello, Eli S. Sherman, Rohit Bhattacharya, Liz McQuillan, Alexander Perrone, Yanni A. Kouskoulas, Clay Fink, June Zhang, Ilya Shpitser, Michael W. Macy
A scientific model’s usefulness relies on its ability to explain phenomena, predict how such phenomena will be impacted by future interventions, and prescribe actions to achieve desired outcomes. We study methods for learning causal models that explain the behaviors of simulated “human” populations. Through the Ground Truth project, we solved a series of Challenges where our explanations, predictions
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Groups, governance, and greed: the ACCESS world model Comput. Math. Organ. Theory (IF 1.8) Pub Date : 2021-12-02 Scott Rager, Alice Leung, Shannon Pinegar, Jennifer Mangels, Marshall Scott Poole, Noshir Contractor
ACCESS—the Agent-based Causal simulator with Cognitive, Environmental, and Social System factors—is an agent-based simulation of an alternate world that is designed to test social science methodologies’ abilities to explain, predict, and prescribe policies for complex social systems. The ACCESS world model includes behaviors based on behavioral and cognitive sciences within and across individuals,
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Decision making under high complexity: a computational model for the science of muddling through Comput. Math. Organ. Theory (IF 1.8) Pub Date : 2021-11-28 Sai Yayavaram, Sasanka Sekhar Chanda
It is well recognized that many organizations operate under situations of high complexity that arises from pervasive interdependencies between their decision elements. While prior work has discussed the benefits of low to moderate complexity, the literature on how to cope with high complexity is relatively sparse. In this study, we seek to demonstrate that Lindblom’s decision-making principle of muddling
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Explaining and predicting human behavior and social dynamics in simulated virtual worlds: reproducibility, generalizability, and robustness of causal discovery methods Comput. Math. Organ. Theory (IF 1.8) Pub Date : 2021-11-18 Volkova, Svitlana, Arendt, Dustin, Saldanha, Emily, Glenski, Maria, Ayton, Ellyn, Cottam, Joseph, Aksoy, Sinan, Jefferson, Brett, Shrivaram, Karthnik
Ground Truth program was designed to evaluate social science modeling approaches using simulation test beds with ground truth intentionally and systematically embedded to understand and model complex Human Domain systems and their dynamics Lazer et al. (Science 369:1060–1062, 2020). Our multidisciplinary team of data scientists, statisticians, experts in Artificial Intelligence (AI) and visual analytics
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SCAMP’s stigmergic model of social conflict Comput. Math. Organ. Theory (IF 1.8) Pub Date : 2021-11-16 Parunak, H. Van Dyke, Greanya, Jason, McCarthy, Peggy, Morell, Jonathan A., Nadella, Srikanth, Sappelsa, Laura
SCAMP (Social Causality using Agents with Multiple Perspectives) is one of four social simulators that generated socially realistic data for the Ground Truth program. Unlike the other three simulators, it is based on a computational principle, stigmergy, inspired by social insects. Using this approach, we modeled conflict in a nation-state inspired by the ongoing scenario in Syria. This paper summarizes
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Urban life: a model of people and places Comput. Math. Organ. Theory (IF 1.8) Pub Date : 2021-11-07 Züfle, Andreas, Wenk, Carola, Pfoser, Dieter, Crooks, Andrew, Kim, Joon-Seok, Kavak, Hamdi, Manzoor, Umar, Jin, Hyunjee
We introduce the Urban Life agent-based simulation used by the Ground Truth program to capture the innate needs of a human-like population and explore how such needs shape social constructs such as friendship and wealth. Urban Life is a spatially explicit model to explore how urban form impacts agents’ daily patterns of life. By meeting up at places agents form social networks, which in turn affect
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Distributed knowledge and the organization of economic activity Comput. Math. Organ. Theory (IF 1.8) Pub Date : 2021-10-26 Veetil, Vipin P.
This paper develops a simple simulation model to study the relation between the nature of knowledge and the architecture of economic systems. The market and the firm are different mechanisms for coordinating economic activity in a system where knowledge is widely dispersed. While the market solves coordination problems by decentralizing decision-making, the firm solves coordination problems by centralizing
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A multi-value cellular automata model for multi-lane traffic flow under lagrange coordinate Comput. Math. Organ. Theory (IF 1.8) Pub Date : 2021-10-19 Zeng, Junwei, Qian, Yongsheng, Yin, Fan, Zhu, Leipeng, Xu, Dejie
In this paper, a multi-value cellular automata model under Lagrange coordinates is proposed based on reality, the traffic flow in the Lagrange coordinate is simulated on the basis of the evolution equation of the model. From the fundamental diagram of the results under various conditions, it found that the three commonly used parameters of traffic flow in simulation is consistent with the empirical
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Modeling managerial search behavior based on Simon’s concept of satisficing Comput. Math. Organ. Theory (IF 1.8) Pub Date : 2021-10-18 Wall, Friederike
Computational models of managerial search often build on backward-looking search based on hill-climbing algorithms. Regardless of its prevalence, there is some evidence that this family of algorithms does not universally represent managers’ search behavior. Against this background, the paper proposes an alternative algorithm that captures key elements of Simon’s concept of satisficing which received
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Measuring the impact of suspending Umrah, a global mass gathering in Saudi Arabia on the COVID-19 pandemic Comput. Math. Organ. Theory (IF 1.8) Pub Date : 2021-09-06 Alshammari, Sultanah M., Almutiry, Waleed K., Gwalani, Harsha, Algarni, Saeed M., Saeedi, Kawther
Since the early days of the coronavirus (COVID-19) outbreak in Wuhan, China, Saudi Arabia started to implement several preventative measures starting with the imposition of travel restrictions to and from China. Due to the rapid spread of COVID-19, and with the first confirmed case in Saudi Arabia in March 2019, more strict measures, such as international travel restriction, and suspension or cancellation
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Architecture of a maturity model for information systems in higher education institutions: multiple case study for dimensions identification Comput. Math. Organ. Theory (IF 1.8) Pub Date : 2021-08-11 Pereira, Rui Humberto, de Carvalho, João Vidal, Rocha, Álvaro
Higher education institutions (HEIs) are complex and dynamic organizations in terms of information management, forcing their information systems to respond to enormous challenges and threats. In order to evaluate the HEIs’ information systems, we propose the development of a maturity model capable of supporting the role of HEI’s managers, as well as accreditation agencies, in the assessment of the
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ReOpen demands as public health threat: a sociotechnical framework for understanding the stickiness of misinformation Comput. Math. Organ. Theory (IF 1.8) Pub Date : 2021-08-10 Tripodi, Francesca Bolla
In the absence of a national, coordinated, response to COVID-19, state and local representatives had to create and enforce individualized plans to protect their constituents. Alongside the challenge of trying to curb the virus, public health officials also had to contend with the spread of false information. This problematic content often contradicted safeguards, like masks, while promoting unverified
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Online discussion threads as conversation pools: predicting the growth of discussion threads on reddit Comput. Math. Organ. Theory (IF 1.8) Pub Date : 2021-07-27 Sameera Horawalavithana,Nazim Choudhury,John Skvoretz,Adriana Iamnitchi
This paper proposes a data-driven method that forecasts groups of topic-related, overlapping, online conversation trees. Our method is generative: given a group of original posts, it generates the resulting conversation threads with timing and authorship information. We demonstrate using two large datasets from Reddit that the microscopic properties of such groups of conversations can be accurately
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Survival analysis for insider threat Comput. Math. Organ. Theory (IF 1.8) Pub Date : 2021-07-24 Elie Alhajjar, Taylor Bradley
In the current information era, we rely on cyber techniques and principles to protect the confidentiality, integrity, and availability of everything from personally identifiable information and intellectual property, to government and industry information systems. Despite persistent efforts to protect this sensitive information, security breaches continue to occur at alarming rates, the most common
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Word embedding analysis on colonial history, present issues, and optimism toward the future in Senegal Comput. Math. Organ. Theory (IF 1.8) Pub Date : 2021-06-25 Kamwoo Lee, Jeanine Braithwaite, Michel Atchikpa
Language is a reflection of issues and value systems of a society. This study tries to understand sensitive public issues in Senegal through language use. To this end, we utilize word embeddings, a numerical word representation, to analyze concepts, connotations, and nuances of several words. State-of-the-art machine learning methods can effectively extract the word embeddings from a collection of
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Innovation capabilities measurement using fuzzy methodologies: a Colombian SMEs case Comput. Math. Organ. Theory (IF 1.8) Pub Date : 2021-06-19 Marlenne G. Velazquez-Cazares, Anna M. Gil-Lafuente, Ernesto Leon-Castro, Fabio Blanco-Mesa
The main aim of this paper is to establish the hidden incidences that can improve specific aspects of beekeeper Small and Medium Enterprises (SME) innovation capabilities in Boyacá-Colombia. The methodology is focused on the use of the expertons model, adequacy coefficient and forgotten effects theory. A questionnaire of 58 items about different innovation management areas is distributed to 14 beekeeper
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Transitions among states behind interactive agent model Comput. Math. Organ. Theory (IF 1.8) Pub Date : 2021-06-19 Po-Keng Cheng
In this paper, we introduce a simple interactive agent mechanism, where the distribution of returns generated from the mechanism match stylized facts in financial markets. We introduce one more key factor, the length of time horizon on performance evaluations between strategies, which also has a significant influence on price fluctuations. To investigate the transitions among states, we introduce a
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Disinformation: analysis and identification Comput. Math. Organ. Theory (IF 1.8) Pub Date : 2021-06-18 Archita Pathak, Rohini K. Srihari, Nihit Natu
We present an extensive study on disinformation, which is defined as information that is false and misleading and intentionally shared to cause harm. Through this work, we aim to answer the following questions: Can we automatically and accurately classify a news article as containing disinformation? What characteristics of disinformation differentiate it from other types of benign information? We conduct
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A machine learning model of national competitiveness with regional statistics of public expenditure Comput. Math. Organ. Theory (IF 1.8) Pub Date : 2021-06-16 Artemisa Zaragoza-Ibarra, Gerardo G. Alfaro-Calderón, Víctor G. Alfaro-García, Fernando Ornelas-Tellez, Rodrigo Gómez-Monge
Competitiveness, defined as the rate of success in attracting and maintaining industries to foster the sustained improvement in citizens’ wellbeing, has been a long-pursued goal for regions and nations. Today’s rapid advancements in technology, especially in telecommunications, open challenges for decision and policy makers to generate effective and efficient solutions in a global scenario. In this
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Fuzzy systems in innovation and sustainability Comput. Math. Organ. Theory (IF 1.8) Pub Date : 2021-06-11 Ernesto Leon-Castro, Fabio Blanco-Mesa, Victor Alfaro-Garcia, Anna M. Gil-Lafuente, Jose M. Merigo
Fuzzy systems in innovation and sustainability are important topics in literature nowadays. A lot of new formulations in fuzzy systems are being made including interesting applications in different topics. The aim of this special issue is to present different works made in this line of research that were presented in the IV International Congress of Innovation and Sustainability (ICONIS).
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The effect of ICT and higher-order capabilities on the performance of Ibero-American SMEs Comput. Math. Organ. Theory (IF 1.8) Pub Date : 2021-06-10 Magaly Gaviria-Marin, Jorge Matute-Vallejo, Hugo Baier-Fuentes
Information and communication technologies (ICT) has the ability to create value by enabling other firm capabilities. Based on the ICT-enabled capabilities perspective, this study explores the direct and indirect effects between lower- and higher-order capabilities, such as ICT, knowledge management capability (KM) and product innovation flexibility (PIF), on the performance of Ibero-American small-
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Business process management heuristics in IT service management: a case study for incident management Comput. Math. Organ. Theory (IF 1.8) Pub Date : 2021-05-06 Rúben Pereira, José Braga de Vasconcelos, Álvaro Rocha, Isaías Scalabrin Bianchi
This research aims to understand how Business process management (BPM) can be applied for the improvement of Information Technology service management (ITSM) processes. A case study is conducted for the improvement of the time performance of the incident management process, since it is pointed as a quick win for ITSM. The results obtained identified three best practices—activity automation, activity
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Active, aggressive, but to little avail: characterizing bot activity during the 2020 Singaporean elections Comput. Math. Organ. Theory (IF 1.8) Pub Date : 2021-05-04 Joshua Uyheng, Lynnette Hui Xian Ng, Kathleen M. Carley
Digital disinformation presents a challenging problem for democracies worldwide, especially in times of crisis like the COVID-19 pandemic. In countries like Singapore, legislative efforts to quell fake news constitute relatively new and understudied contexts for understanding local information operations. This paper presents a social cybersecurity analysis of the 2020 Singaporean elections, which took
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BigData oriented to business decision making: a real case study in constructel Comput. Math. Organ. Theory (IF 1.8) Pub Date : 2021-05-04 Anthony Martins, Maryam Abbasi, Pedro Martins, Filipe Sá
Analyze and understand how to combine data warehouse with business intelligence tools, and other useful information or tools to visualize KPIs are critical factors in achieving the goal of raising competencies and business results of an organization The main objective of this paper is to present the development of a BI platform, using DW tools to create graphs and detailed reports for the Constructel
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“The coronavirus is a bioweapon”: classifying coronavirus stories on fact-checking sites Comput. Math. Organ. Theory (IF 1.8) Pub Date : 2021-04-26 Lynnette Hui Xian Ng, Kathleen M. Carley
The 2020 coronavirus pandemic has heightened the need to flag coronavirus-related misinformation, and fact-checking groups have taken to verifying misinformation on the Internet. We explore stories reported by fact-checking groups PolitiFact, Poynter and Snopes from January to June 2020. We characterise these stories into six clusters, then analyse temporal trends of story validity and the level of
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Applying a process for the shared understanding construction in computer-supported collaborative work: an experiment Comput. Math. Organ. Theory (IF 1.8) Pub Date : 2021-04-17 Vanessa Agredo-Delgado, Pablo H. Ruiz, Alicia Mon, Cesar A. Collazos, Fernando Moreira, Habib M. Fardoun
When a group of people works to achieve a common goal, they refer to collaborative work, which is based on the philosophy of interaction and collaboration, that is about working in conjunction with other individuals to achieve that goal and seeking to reach effective results. For this, it is necessary to start from effective communication, which will lay on the foundations to achieve true collaboration
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Leadership challenges in the context of university 4.0. A thematic synthesis literature review Comput. Math. Organ. Theory (IF 1.8) Pub Date : 2021-04-12 Álvaro Rocha, Maria José Angélico Gonçalves, Amélia Ferreira da Silva, Sandrina Teixeira, Rui Silva
Supported by an environment that is increasingly immersed in digital transformation, universities are facing important organizational changes in both tangible and intangible structures. Digital transformation isn’t all about technology, there is a human side of the story. Leadership is seen as a key issue in any process of change. However, leaders of professional and knowledge-based institutions, like
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Computational simulation of the COVID-19 epidemic with the SEIR stochastic model Comput. Math. Organ. Theory (IF 1.8) Pub Date : 2021-03-30 Carlos Balsa, Isabel Lopes, Teresa Guarda, José Rufino
A small number of individuals infected within a community can lead to the rapid spread of the disease throughout that community, leading to an epidemic outbreak. This is even more true for highly contagious diseases such as COVID-19, known to be caused by the new coronavirus SARS-CoV-2. Mathematical models of epidemics allow estimating several impacts on the population and, therefore, are of great
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Deceptive accusations and concealed identities as misinformation campaign strategies Comput. Math. Organ. Theory (IF 1.8) Pub Date : 2021-03-26 Daniele Bellutta, Catherine King, Kathleen M. Carley
This paper presents a new social media phenomenon that sees users lying about their deceptive motivations by either dishonestly claiming that they are not bots or by asserting that real news is actually fake news. We analyzed the use of the #FakeNews and #NotABot hashtags in Twitter data collected on the 2019 Canadian federal elections. Our findings show that the #FakeNews hashtag was most likely to
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StateSim: lessons learned from 20 years of a country modeling and simulation toolset Comput. Math. Organ. Theory (IF 1.8) Pub Date : 2021-02-13 Barry G. Silverman, Daniel M. Silverman, Gnana Bharathy, Nathan Weyer, William R. Tam
A holy grail for military, diplomatic, and intelligence analysis is a valid set of software agent models that act as the desired ethno-political factions so that one can test the effects of alternative courses of action in different countries. This article explains StateSim, a country modeling approach that synthesizes best-of-breed theories from across the social sciences and that has helped numerous
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How to encourage innovation failure knowledge sharing in virtual research organization: an incentive mechanism based on game theory Comput. Math. Organ. Theory (IF 1.8) Pub Date : 2021-01-12 Zhuang Xiong, Pengju Wang, Chengxia Wu
Innovation failure knowledge sharing plays an important role in reducing the probability of repeated failure of subsequent innovation and improving innovation ability of virtual research organization. However, it is very difficult for members to actively share the innovation failure knowledge without incentives. To promote the sharing behavior of innovation failure knowledge in virtual research organization