Financial methods of control of accounts receivable
Выпускная квалификационная работа (магистерская диссертация) посвящена исследованию финансовым методам управления дебиторской задолженностью предприятия. Дебиторской задолженности называют сумму долгов, которая причитается компании от других, в том числе
Karasnevich, N. K. +1 more
core
Economic essence of current assets and their typology
The purpose of the article is to study theoretical approaches to defining the essence of current assets and their classification and improving the existent methods.
Iryna Hryniuk
doaj
LETA Ltd accounts receivable, policy assessment and management
Darba būtība ir pētīt debitoru parādu vadības procesa elementus. Darba mērķis ir uz SIA “LETA” debitoru parādu uzskaites un vadības analīzes pamata, izstrādāt priekšlikumus debitoru parādu pārvaldības pilnveidošanai uzņēmumā.
Vītiņa, Annija
core
Financial dynamics and post-pandemic recovery of a public multidisciplinary hospital in Kazakhstan: a five-year financial case study. [PDF]
Alimbetova M +6 more
europepmc +1 more source
Digital technology innovation and agricultural industry chain resilience: implications for food security. [PDF]
Chen J, Xu J, Xiong X, Zhao Y, Yao H.
europepmc +1 more source
Financial Management Innovation in Hospital Groups: An Empirical Study of Ophthalmology Specialty Care Under Consolidation. [PDF]
Ye B, Pan X, Wu Z.
europepmc +1 more source
Financial methods of management of accounts receivable of the enterprise
Final qualifying work (master's thesis) is devoted to the study of accounts receivable of the enterprise. Тhе subject of the study are the economic relations arising in the management of receivables of the enterprise.
Южакова, Л. Ф. +1 more
core
Impact of Digital Supply Chain Finance to alleviate SMEs financing constraints: Evidence from SRDI enterprises in China. [PDF]
He S, Liu Z.
europepmc +1 more source
Construction and application of computerized risk assessment model for supply chain finance under technology empowerment. [PDF]
Huang B, Gan W.
europepmc +1 more source
Valuation of science and technology innovation enterprises based on XGBoost-GA-BP neural network model. [PDF]
Shen C, Xiang L, Wang W.
europepmc +1 more source

