In an operating business amidst fierce competition, the operational process needs to be developed and improved in order to reduce logistics costs which are hidden costs in all business activities. This study aimed to investigate guidelines for reducing logistics costs in the industrial business sector, and to develop a structural equations model. It was conducted quantitatively and qualitatively.

The developing theoretical managerial concepts and applied managerial techniques comprise the basis for the modern innovative management of an agricultural enterprise. Management consulting occupies a special place in the managerial process. It is aimed at rendering experts’ support to the specialists of an economic entity as well as developing recommendations for the promotion of activity efficiency in the enterprise on the basis of theoretical and applied knowledge in the field of management. Complicated conditions for activity carried out by the Russian agricultural commodities manufacturers cause the necessity in the real managerial activity integration with the scientific research works in the field of management. Hence, the necessity occurs in professional manage-ment consulting by considering technological features of the production process and the scientific basics of management. This article considers the economic essence of management consulting, offers a conceptual model and methodological instruments, and develops the system of key indicators of social-economic activity efficiency as an instrument of management consulting.

This bibliographical review gives us a clear and summarized analysis of the management tools for a water infrastructure construction project and, a tool that allows the management of water resources through the application of everything analyzed and compiled in scientific articles obtained from the Scopus database and after that it was analyzed using the VOSviewer tool, which has the complexity of analyzing a large amount of data. This analysis was carried out from the appearance of the first related investigations until the year 2023, analysis graphs were obtained from representative levels of the words “artificial intelligence”, “project management” of “construction” and “water” resource with greater interest in the analysis. The results obtained allowed us to understand the great variety of technological tools that are available today to be able to manage the construction of a project through artificial intelligence and its components that work together, likewise the application of these tools is carried out by countries as well as the United States. The United States and China are the ones that represent the greatest interest in these investigations, however this contribution is minimal to be able to generate effective solutions since each project presents its particular characteristics that technology has to adapt to. The future of these projects was also analyzed, such as the management of water resources through intelligent technologies that allow the preservation, care and maintenance of water resources, in addition to this, it is emphasized that worldwide there are already problems of droughts, lack of water resources and shortages of water in some countries. This research has the purpose of an overview for decision-making in the execution of the project at the water level and after the management of the water resource, it is important to apply these tools for their different advantages and carry it out to large-scale works in Peru subsidized by the Peruvian state since they are the most responsible for ensuring the care, maintenance and preservation of water resources.

The potential for transforming the estate management industry through the resolution of common inefficiencies, lack of transparency, and security concerns is presented by the use of blockchain technology into estate governance. The purpose of this article is to clarify how incorporating blockchain technology would affect estate operations and governance. This study is based on quantitative information that was collected from 317 estate management professionals using a 5-point Likert scale questionnaire. SmartPLS4 analysis demonstrates that blockchain governance has a statistically significant and robust influence on estate governance in Jordan. The impact of Blockchain Governance on Jordanian Estate Management appears to be negligible and unimportant. Furthermore, there appears to be a negligible and insignificant correlation between Jordanian estate management and estate planning methods. In-depth analysis of these theories is done in this article, which also offers insights into how blockchain technology affects estate governance dynamics and how it can affect Jordan's estate management procedures. The consequences go beyond theoretical understandings; they promote the use of blockchain technology in estate governance frameworks as a game-changing means of ensuring the safe, transparent, and effective administration of frozen estates in Jordan and elsewhere.

The advantages of an integral approach to assessing the competitiveness of retailers are substantiated, which allows obtaining a more thorough and versatile informative base for making further managerial decisions to ensure the development of trading business. A new approach to the integral evaluation of the competitiveness of retailers is developed. The list of functional and structural components of competitiveness was substantiated: marketing,financial and investment, material and technical, intellectual and personnel,innovation, logistic and social. It is proposed to use the methodological sequence of competitiveness assessment, which involves the alternate passage of the following stages: construction of an evaluation hierarchy, identification of the levels of the criterion importance, definition of a set of “local vectors” by evaluation criteria, conducting comparative evaluation of competing enterprises, hierarchical synthesis of alternative options for ensuring competitiveness. The methods of an expert survey are used to form an information and analytical base. Using the Saaty’s analytic hierarchy process and the Delphi method of an expert survey, a matrix of pairwise comparisons of the criteria of the retailers’ competitiveness is formed. The Gallup Institute methodology is used to form the sample of enterprises. A matrix of rating positions of the socially-oriented retailers is developed to enable evaluation.On the basis of the obtained results – analytical support of the policy(regarding the competitiveness level, state of security and coefficients of weight of its functional and structural components), the strategic principles of managing the competitiveness of socially-oriented retailers. A matrix of strategic decisions on managing the competitiveness of socially-oriented retailers is developed.

Trading is the most sensitive sector of the economy, directly and indirectly responding to innovative challenges. High competition, political risks and planetary scales have made it susceptible to any globalization fluctuations. Effective management is seen as the most important opportunity to gain competitive advantage. This explains the increased interest in the system of indicators of management system evaluation in the business processes in the supply chains. The aim of this paper is to develop and substantiate analytical approaches to the study of the status of transnational trade economic relationships with the identification of significant impact indicators and vulnerability indicators. The globalization aspect of the existing trend of world trade (export-import) among differentiated groups of countries is justified, distinguishing the forecast component. A two-tier model of business process “reliability management” has been constructed, taking into account the results of linear regression models based on the profiles of Australia and New Zealand.

Responsibility accounting is important content of management accounting. This is an accounting system provides the flexible information, timely and accurately that to assess efficiency of managers and improve performance of firms. The paper aims to identify effects of organization size and level of manager education on responsibility accounting in Vietnamese cement enterprises. In this paper, SPSS 22 was used to collect and analysis data by distributing 103 questionnaires on managers and head of departments from Vietnamese cement manufacturers. The Results of research have shown that there are significant relationships between organization size, and level of manager education and responsibility accounting in the Vietnamese cement enterprises.

Today, the ability to identify the profitable customers, creating a long-term loyalty in them and expanding the existing relationships are considered as the key and competitive factors for a customer-oriented organization. The prerequisite for having such competitive factors is the presence of a very powerful customer relationship management (CRM). The accurate evaluation of customers’ profitability is considered as one of the fundamental reasons that lead to a successful customer relationship management. RFM is a method that scrutinizes three properties, namely recency, frequency and monetary for each customer and scores customers based on these properties. In this paper, a method is introduced that obtains the behavioral traits of customers using the extended RFM approach and having the information related to the customers of an organization; it then classifies the customers using the K-means algorithm and finally scores the customers in terms of their loyalty in each cluster. In the suggested approach, first the customers’ records will be clustered and then the RFM model items will be specified through selecting the effective properties on the customers’ loyalty rate using the multipurpose genetic algorithm. Next, they will be scored in each cluster based on the effect that they have on the loyalty rate. The influence rate each property has on loyalty is calculated using the Spearman’s correlation coefficient.

Construction projects are conventionally analyzed considering factors such as cost and completion time. The present paper focuses on the projects particularly dealing with the house or building. The paper aims at an objective of introducing a synergy between project and supply chain management. After a brief relevant literature review, major construction activities have been discussed and the associated synergy between project management and supply chain concepts has been explained. Applications of the supply chain concepts such as forward and reverse logistics along with the customer order decoupling point in the context of construction management are discussed as a result of the proposed development. For this purpose, a categorization of construction product is developed on the basis of land and building characteristics and it is the major contribution of the present paper. This is also expected to be useful for estimating lead time and availability of the product in the context of relevant supply chain, and an associated managerial implication.

Customers are believed to be the main part of any organization’s assets and customer retention as well as customer churn management are important responsibilities of organizations. In today’s competitive environment, organization must do their best to retain their existing customers since attracting new customers cost significantly more than taking care of existing ones. In this paper, we present a hybrid method based on neural network and Cox regression analysis where neural network is used for outlier data and Cox regression method is implemented for prediction of future events. The proposed model of this paper has been implemented on some data and the results are compared based on five criteria including prediction accuracy, errors’ type I and II, root mean square error and mean absolute deviation. The preliminary results indicate that the proposed model of this paper performs better than alternative methods.