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I. de Zarzà, J. de Curtò, Gemma Roig and Carlos T. Calafate
In today?s complex economic environment, individuals and households alike grapple with the challenge of financial planning. This paper introduces novel methodologies for both individual and cooperative (household) financial budgeting. We firstly propose ...
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Dewi Rahmayanti,(Universitas BengkuluIndonesia)
Pág. 340 - 351
This study examines the effect of internal locus of control and spiritual intelligence on personal financial management behavior in Bengkulu, Indonesia. Snowball sampling was employed with a total sample size of 300 respondents. The data collection was c...
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Irma Kurniasari, Sumiati, Kusuma Ratnawati
Pág. 422 - 433
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Charisna Adinda, Ubud Salim, Himmiyatul Amanah Jiwa Juwita
Pág. 202 - 216
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Wahdiyat Moko, Ahmad Sudiro, Irma Kurniasari
Pág. 184 - 192
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Erik Hofmann, Juuso Töyli and Tomi Solakivi
In times of crisis, cash and liquidity play an essential role. This paper analyzes the working capital measures over the course of a business cycle. We examine (1) how companies behave in economic downturns regarding their working capital components and ...
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Marc Steinmann and Carlo Pugnetti
Leading across national borders is a challenge, partly due to the cultural differences among employees in different locations. We investigate this dynamic for employees of a Swiss financial services company located in Switzerland and in Poland by surveyi...
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Muslih Muslih,Trifa Maylani
Pág. 38 - 51
Abstract? The purpose of this study was to investigate and assess the impact of Financial Literacy on Financial Behavior as mediated by Financial Knowledge among students from the Faculty of Economics and Business at the University of Muhammadiyah North ...
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Muslih Muslih,Trifa Maylani
Pág. 17 - 28
Abstract - The purpose of this study was to determine and analyze the effect of Financial Literacy on Financial Behavior mediated by Financial Knowledge on Students of the Faculty of Economics and Business, University of Muhammadiyah North Sumatra. The m...
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Xiaoming Zhang, Feng Gao, Shunyi Liao, Fan Zhou, Guanfang Cai and Shaoying Li
Mobile phone data is a typical type of big data with great potential to explore human mobility and individual portrait identification. Previous studies in population classifications with mobile phone data only focused on spatiotemporal mobility patterns ...
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