Diagnostics of the system of interaction between the government and business in terms of public e-procurement

Abstract

The authors analyse the peculiarities of electronic pre-tendering, tendering and post-tendering procedures taking into account the business risks. The main quantitative, qualitative, time and financial indicators of the system effectiveness of the interaction between government and business in terms of public e-procurement are defined. Factors of the successful functioning of electronic public procurement, which are connected with automatically updating of participants and tender information, availability of the unified non-banking payment system and a third party for post-tendering warranty, are formulated. The authors have made recommendations for the diagnostics and optimisation of e-procurement according to the information theory and developed the nonlinear canonical discriminant function relating to the diagnosis in «business-to-government» e-commerce. An evaluation of the diagnostic value of information related to the criterion weight by the example of JSC «The State Export-Import Bank of Ukraine» has been carried out for such criteria as: bank's reputation in business circles; quality of management; level of employees' proficiency; level of technologies applied; market share; financial sustainability of a bank; level of recognition of a bank; amount of services provided. It is concluded that the findings of the research could be used to build an econometric model. A combination of changes in specification of econometric model parameters with a calculation of the information or diagnostic value can overcome the heteroscedasticity. Prospects for further research in this area are trend analysis of the e-procurement development and other forms of e-government in both Ukraine and the European Union, financial and economic analysis of the validity of e-government projects based on publicprivate partnerships. Keywords: Public E-Procurement; E-Tender; Business-Risks; Diagnostics; Optimisation JEL Classіfіcatіon: C13; F19; H19; L86; M29 DOI: https://doi.org/10.21003/ea.V160-08 Юзевич В. М. доктор фізико-математичних наук, професор, завідувач кафедри економіки підприємств та інформаційних технологій, Львівський університет бізнесу та права, Львів Україна Клювак О. В. кандидат економічних наук, викладач, кафедра економіки підприємств та інформаційних технологій, Львівський університет бізнесу та права, Львів, Україна Скриньковський Р. М. кандидат економічних наук, доцент кафедри економіки підприємств та інформаційних технологій, Львівський університет бізнесу та права, Львів, Україна Діагностика системи взаємодії держави та бізнесу в аспекті електронних публічних закупівель Анотація. У статті проаналізовано особливості перебігу дотендерних, тендерних та післятендерних електронних процедур із урахуванням бізнес-ризиків. Виокремлено основні кількісні, якісні, часові та фінансові показники ефективності системи взаємодії держави та бізнесу в аспекті електронних публічних закупівель. Розроблено рекомендації щодо діагностування та оптимізації електронних закупівель із погляду теорії інформації. Запропоновано нелін...

Diagnostics of enterprise selection criteria in the public e-procurement system

“…On the basis of the analysis [1][2][3][4][5][6][7][8][9][10][11][12][13][14][15][16][17][18][19] it is found that it is expedient to take into account the following main recommen dations for improving the procedure for selecting enterprises at the stage of adaptation of the legal framework in the field of public eprocurement of the European Union in Ukraine:…”

“…The formula of the balance of interests of the supplier and the customer (1) is supplemented with the ratios that reflect the customer price correction coefficient, taking into account technical, resource and qualification, safety and quality, reputation and image and basic nonprice selection criteria (2), (3), price coefficient of the subject of eprocurement of the supplier, taking into account the business processes leading to economic and social effects (4), and the input parameters «informationtime opportunities/threatsresources» (5), covariance between the values of the expenditure indicators to ensure an optimal level of nonprice criteria for selecting the win ner of the procurement and performance indicators of participation in public eprocurement (6), (7) is the basis of economic and mathematical model of diagnosis criteria for selecting the winner of the public eprocurement. The essential portion of diagnostics economic and ma thematical models (1)- (7) is recommended to use in case of a final customer, excluding mediators and contact groups.…”

“…Many domestic and foreign scientists and practitioners are engaged in research into the formation and development of the system of public e-procurement [1][2][3][4][5][6][7][8][9][10][11][12][13][14][15][16][17][18][19]. In particular, in work [1] the features and difficulties of organizing the process of public procurement are analyzed, proposals are developed to improve the quality of public procurement management, taking into account modern unstable minds.…”

Diagnostics and Minimization of Business Risks and the State Customer in the System of Public e-Procurement

“…Аналіз останніх досліджень і публікацій свід-чить про те, що вагомий науково-практичний внесок у вирішення окремих проблемних ас-пектів у сфері діагностики системи елект-ронних публічних закупівель та її ризиків зробили такі вітчизняні та закордонні науко-вці і практики, як О. Ганчак [7], Я. Кодим [8], Н. Макоба [9], М. Письменна [14,13], М. Свід-ронова [17], П. Стілгер [16], Т. Таммі [15], Р. Тосько [18,19], М. Шауп [5], В. Юзевич [20] та інші.…”

Development of diagnostics of enterprise in public e-procurement system in terms of logistics

“…Methods for forecasting socioeconomic effects from the introduction of eprocurement in public institutions are being investigated by foreign authors in [8]. In work [13], recommendations for diagnosing and optimizing eprocurement Technology audiT and producTion reserves -№ 4/4(36), 2017 ISSN 2226-3780 are proposed from the point of view of information theory. The author [14] considers the approach to determining the bid price and the winner in the electronic tender procedure.…”