The article presents a methodological tool for analysis and evaluation of business processes of Ukrainian en-terprises. The proposed methodology is provided for the identification of “problem” areas of certain business processes by calculating average weighted, integral and generic indicators of efficiency and effectiveness. It allows to evaluate the status of both certain business processes of enterprises and their totality, and to set the priorities of management actions for their improvements. The proposed methodology is examined on the example of a specific enterprise of the construction industry. In the framework of the proposed criteria (financial-economic, resource-production, external integration, organizational), a list of indicators, taking into account the specifics of the enterprise are formed. Assessment of the efficiency and effectiveness of business processes by the specified criteria and indicators allows one to monitor the current activity of the enterprise and evaluate the effectiveness of its operations at every moment of time.

The aim of this study is to design, build and validate a scale for the measurement of Saudi industrial Organizations' SC Management Practices (SCMP), and also to evaluate its efficiency at various SCM measurements. The analysis identified 20 constructs of (SCMPs) based on a comprehensive literature review; namely Strategic Partnership of Suppliers (SPS), Customer Relationship (CR), Information Sharing (IS), Information Quality (IQ), Postponement (PST), Agreed Vision and Goals (AVG), Sharing of Risks and Rewards (SRR), Lean Manufacturing (LM), Total Quality Management (TQM), Organizational Culture (OC), Information and Communication Technology (ICT), Benchmarking and Performance Measurement (BPM), Agile Manufacturing (AM), Outsourcing (OUT), Just In Time Manufacturing (JIT), Green SC Management (GSCM), Reverse Logistics (RL), Vendor Managed Inventory (VMI), Radio Frequency Identification (RFID), and SC Integration (SCI), and four SCM performance structures in particular namely; Flexibility Perspective (FLP), Efficiency Perspective (EFP), Customer’s Perspective (CSP), Product Innovation Perspective (PIP). A survey tool based on the existing literature was developed and relevant data were collected from 351 Industrial Saudi organizations on this tool. In the data analysis the validation of the instrument is mainly carried out with confirmatory factor analysis in terms of unidimensionality, durability, convergent validity, discriminant validity, nomological validity, and the associated validity criteria. A parsimonious instrument that makes an important contribution to the SCM literature is generated by the results of this research. The instrument will allow an enterprise to incorporate various SCMPs, to keep track of the implementation status, and then to evaluate SCM performance to the SCM dimensions.

As operating the business in the economy, all enterprises are interested in the business efficiency. Business efficiency is not only a measure of organizational performance and business management but also it is a vital issue for businesses operations. That is why defining the factors affecting business performance in enterprises, especially small and medium-sized enterprises accounted for more than 80 percentage of the enterprises in Vietnam plays a very important role in helping business managers find solutions to improve the business efficiency. This paper is conducted to determine the factors affecting the business performance of these groups of businesses from the perspective of business managers and the business. This study is based on a survey from 100 business managers and 400 small and medium enterprises in Vietnam. Through the EFA analysis tool, we found some similarities in terms of the groups of factors affecting the business performance in small and medium enterprises in Vietnam between the perspective of business managers and perspective of the enterprises. Both the surveyed groups defined that there were three factor groups influencing the business efficiency: (1) group of institutional, policy and infrastructure factors, (2) group of factors associated with enterprises and (3) group of factors related to the environment outside the enterprise.

Nowadays digitalization is an important topic for businesses and government agencies. There are important reports publishing about digitalization or digital transformation. This study aims to meas-ure the relative efficiency of digital transformation among EU Countries based on data envelopment analysis (DEA). The necessary data are extracted from Digital Transformation Scoreboard 2018 published by European Commission. DEA is one of popular methods for measuring the relative efficiency of similar units. This study empirically proposes an alternative ranking for countries with respect to digital transformation efficiency by using “enablers and output” approach of Digital Transformation Scoreboard. Digital Infrastructure, Investment and Access to Finance, Supply and Demand of Digital Skills, E-Leadership and Entrepreneurial Culture are considered as input while ICT start-ups and Digital Transformation are considered as the output of DEA model. The results indicate that while some countries like Denmark, Italy and United Kingdom are considered relatively efficient, Netherland and Germany are not very efficient according to our results.

This study explores how the usability of digital wallets affects the growth of e-commerce in poultry shops in the Huancayo district of Peru. The general hypothesis states that the usability of digital wallets significantly impacts the growth of e-commerce in this sector. The methodology used combines the general scientific method with the specific hypothetical-deductive method. A non-experimental and cross-sectional design is used. The research is explanatory in nature, seeking to establish causal relationships between variables. To collect data, a survey was conducted on a probability sample of 385 customers in 112 poultry shops in Huancayo that use digital wallets. The sampling technique was simple random, and data were collected using an attitude scale designed to measure user attitudes and opinions. Results: The usability of digital wallets positively impacts e-commerce, with a correlation coefficient of 0.76 (p < 0.01), indicating a strong and significant relationship. The effectiveness of digital wallets in e-commerce growth is evidenced by a regression coefficient of 0.68 (p < 0.01), suggesting a significant effect on online sales. The efficiency of digital wallets shows a coefficient of 0.62 (p < 0.05), indicating a notable improvement in transaction time and payment accuracy. Customer satisfaction with digital wallets has a coefficient of 0.74 (p < 0.01), reflecting an overall positive experience with these payment tools.

This research was conducted to analyze the influence of supply networks and management control systems on manufacturing companies' efficiency and profitability in East Java, Indonesia. With increasing competition, it takes the design of a system integrated to obtain profitability of the company. The study uses a quantitative descriptive method with a survey approach using a questionnaire data collection tool. Data analysis is operated using the theory of path analysis to determine the magnitude of the value of each construct calculated in the test equipment. From the results of the tests that have been conducted, only the supply network has no significant effect on efficiency. At the same time, other variables have a close and meaningful relationship. The study concluded that only one construct of the five hypotheses had an insignificant influence on bound variables. The main finding of this study is that companies should also have sensitivity to the social environment created as part of the supply network, as it can reduce the value of the Company's profitability if not designed appropriately and accurately.

It is essential to improve the efficiency of hospitals, especially in the situation of Covid-19. Therefore, the primary purpose of this paper was to examine the effect of supply chain connectivity, perceived ease of use, and task technology fit on big data analytics and efficiency. This study assessed the mediating role of big data analytics as well. A survey questionnaire was developed to collect the data. The data was collected from the employees working in the hospitals of the UAE. For this purpose, convenient sampling was adopted. The questionnaire was adapted from past studies. The questionnaire was distributed among 426 employees. The usable response rate was 73.22%. The gathered data was assessed using PLS 3. The study's findings confirmed the direct effect of supply chain connectivity, perceived ease of use, task technology fit on big data analytics, and efficiency. This study also revealed the significant effect of big data analytics on efficiency. Moreover, the mediating role of big data is also confirmed in the present study. This study fills several theoretical and managerial gaps mentioned. The study's findings are helpful for the policymakers and academicians of the health sector.

This article will examine the impact of e-service quality management dimensions on decision-making agility at private universities in Jordan. The e-service quality model was extended by adding more dimensions and applying them in a pure service environment. The study used five dimensions to measure the impact of e-services quality management, including efficiency, fulfillment, privacy, responsiveness, and contact on decision-making agility. During the spring semester of 2021, an online questionnaire was distributed randomly at 12 private universities in Jordan. A total of 300 respondents completed and submitted the questionnaire. The results show that the five dimensions of e-service quality have a significant impact on decision-making agility at private universities in Jordan. The result indicates that contact was the most influential factor in decision-making agility. This confirms the importance of having advanced information technology systems and strategies to enhance communication effectiveness. University management can employ these results to enhance existing policies and procedures to improve the quality of e-services provided to boost and maintain competitiveness and distinction. We can anticipate that a university with a high level of decision-making agility can have a better change management cycle and be more flexible in response to market challenges.

This study evaluates the technical efficiency, productivity change of financial companies listed in the Malaysian stock exchange (Bursa Malaysia) and examines the effects of productivity change on efficiency over the period 2007–2016. Moreover, this study also concentrates on the ranking of financial companies according to their efficiency scores. Data Envelopment Analysis (DEA) is uti-lized on a Malmquist Productivity Index in order to calculate the financial companies’ efficiency scores. The results of this study show that some firms were fully efficient. The results implied that these companies were in optimal control of their inputs or resources to generate the maximum outputs. Also, the results indicate a tremendous productivity gain was mostly because of a positive shift in frontier technology and positive shift in technical efficiency. This study is significant because it helps to identify the efficient companies from the financial sector in Malaysia based on multiple inputs and outputs by using the DEA model. Common misspecification problems observed that instability of efficiency scores over productivity.

In the ever-evolving landscape of supply chain management, the quest for efficiency has become paramount. This abstract explores a groundbreaking solution that combines the power of permissioned blockchain technology with innovative data reduction strategies to redefine how supply chains operate. Traditional supply chain systems often grapple with data overload, causing delays, inaccuracies, and operational inefficiencies. However, this abstract presents a promising approach that unleashes efficiency by harnessing the capabilities of a permissioned blockchain. Through data reduction techniques tailored to the needs of supply chain management, this approach streamlines the flow of information while maintaining security and trust among participants. This paper seeks into the technical foundations of permissioned blockchains, highlighting their suitability for supply applications where confidentiality and controlled access are imperative. Furthermore, it examines various data reduction methodologies, emphasizing their role in minimizing redundant data, optimizing communication, and enabling real-time decision-making. The impact of this innovative approach on supply chain stakeholders is profound. It reduces data related bottlenecks, enhances transparencies, and fosters collaboration among participants. Additionally, it provides a scalable framework adaptable to diverse supply chain ecosystems. As supply chain efficiency becomes increasingly important in our interconnected world, this permissioned blockchain-driven data reduction strategy offers a compelling vision for the future. It promises to unlock a new era of streamlined operations, cost savings, and improved customer satisfaction, ultimately shaping the next generation of supply chain management.