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Salama Shady, Vera Paola Shoda and Takashi Kamihigashi
This paper presents a comprehensive analysis of the social media posts of prefectural governors in Japan during the COVID-19 pandemic. It investigates the correlation between social media activity levels, governors? characteristics, and engagement metric...
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Carolina Bona-Sánchez, Heidi Salokangas and Kaisa Sorsa
This study explores the complexities of cost behavior in the textile industry, conducting a comparative analysis between firms in the Nordic countries and Spain. Our main goal is to examine how distinct economic and corporate governance models impact the...
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Thabit Atobishi, Sahar Moh?d Abu Bakir and Saeed Nosratabadi
As public sector agencies face rising imperatives to digitally transform citizen services, data systems, and internal operations, questions persist as to whether investments in big data analytics and automation capabilities, evidenced to drive organizati...
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Okechukwu Enyeribe Njoku and Younghwan Lee
This study investigates the relationship between dividend policy, firm performance, and value within the Korean market, taking into account the unique context of Chaebol ownership structures. Utilizing a robust dataset of 5478 observations from the Korea...
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Aleksander Aristovnik, Dejan Rav?elj and Eva Murko
This research advances the field of digital government by developing and empirically validating a model for measuring the digital state of public administration, with a specific focus on Slovenia. Moving beyond traditional digital maturity models, our st...
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Dimitris Koryzis, Dionisis Margaris, Costas Vassilakis, Konstantinos Kotis and Dimitris Spiliotopoulos
Exploitation and use of disruptive technologies, such as the Internet of Things, recommender systems, and artificial intelligence, with an ambidextrous balance, are a challenge, nowadays. Users of the technologies, and stakeholders, could be part of a ne...
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Timur Obukhov and Maria A. Brovelli
In this research, we focused on armed conflicts and related violence. The study reviewed the use of machine learning to predict the likelihood of conflict escalation and the role of conditioning factors. The results showed that machine learning and predi...
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Kavitha Srinivasan, Sainath Prasanna, Rohit Midha, Shraddhaa Mohan
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Advances have been made in the field of Machine Learning showing that it is an effective tool that can be used for solving real world problems. This success is hugely attributed to the availability of accessible data which is not the case for many fields...
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Caitlyn B. O?Connor and Phillip S. Levin
Managing social?ecological systems that benefit both humans and nature is the central challenge of natural resource management. Integrating multiple perspectives into decision-making adds flexibility to social?ecological systems by reducing rigidity and ...
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Alan Muñoz,Kiara Labra
This research is carried out in the destination ?Cuenca del Lago Ranco? in Chile, and analyzes the observations that touristic actors have, the strengths, weaknesses and opportunities of the territory, to project a governance model suitable to the destin...
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