In the context of globalization and fierce competition in world markets, the high level of investment activity in the country is a key to economic and innovative development. The high level of wear and tear of fixed assets in developing countries gives special relevance to solving the problem of attracting investments for production development. Hence, for the investment management system choosing an optimal variant among several available investment projects is one of the most responsible stages of ensuring the stable operation and sustainable development of an enterprise. In this regard, the aim of the article is to develop a comprehensive multi-criteria approach to choose the best investment option. The article analyzes the existing methodological approaches to assess the economic efficiency of the investment projects, identifies their advantages and disadvantages. A multi-criteria method of investment project evaluation is proposed, which is characterized by the absence of restrictions on the number of individual evaluation indicators and the possibility for the investor to determine the significance of every indicator using weights independently. The use of the proposed methodology by enterprises will improve the quality of management decisions at the stage of choosing the optimal investment option.

This paper was retracted based on the authors' request due to errors in the computations.

The study examines the impact of official development assistance (ODA) in constructing road transport infrastructure on Vietnam’s economic growth. The authors select gross domestic product (GDP) to represent economic growth and test the influence of ODA in constructing road traffic infrastructure on Vietnam's GDP. Based on the references and analysis of previous studies, the authors propose an impact assessment model of ODA in constructing road transport infrastructure, Foreign direct investment (FDI), Domestic Investment (VDT) and Labor Force (Labor) to economic growth through GDP as a dependent variable. The regression results show that the ODA had a positive impact on GDP. Moreover, ODA plays an important role in constructing road transport infrastructure on Vietnam’s economic growth.

Bidding price decision is a key issue for the contractors and construction companies. The success/failure of the contractors in competitive biddings is directly dependent on their bidding strategy. This paper aims to develop a hybrid statistical and mathematical modeling approach for determining the optimum bidding price in construction projects. By statistical analysis of historical data, some uncertain parameters like the number of competitors and the cost of the project are estimated. Then, a scenario-based mathematical model for bidding price decision is proposed. In order to present a model in more accordance with the real-world situations, factors like risk, minimum acceptable rate of return (MARR) and opportunistic behavior are taken into account. In order to achieve an insensitive solution to the change in the realization of the input data from the scenarios, a robust mathematical model is used. The performance of the model is evaluated through some numerical problems. Furthermore, sensitivity analysis of the key parameters and robustness evaluation of the model against uncertain parameters are conducted. To evaluate the model's effectiveness in real-world situations, a case study is analyzed by the proposed approach. Numerical results show that the proposed approach reduces the cost estimation errors and increases the average expected profit, which validates the applicability of the model in a real-world situation.

For the Government projects, Value for Money (VFM) is an important parameter based on which the projects are procured through Public-Private Partnership (PPP) by the public sector. The objective of this paper is to identify and evaluate perceptions of VFM factors affecting Indian road projects undertaken by PPP. Eighteen VFM factors were shortlisted through a literature survey and were validated with experienced professionals. A questionnaire survey was conducted to investigate the most important VFM factors and was grouped into three categories: financial implications, the expertise of the private sector, and contract efficiency using factor analysis. Important VFM factors were identified using the Importance Index Method. The perception was analyzed with various statistical tools. The findings from this study provide more information and understanding about VFM in an early stage, which will be helpful for decision making about PPP.

Industry 4.0 is a modern approach that aims at enhancing the connectivity between the different stages of the production process and the requirements of consumers. This paper addresses a relevant problem for both Industry 4.0 and flow shop literature: the missing operations flow shop scheduling problem. In general, in order to reduce the computational effort required to solve flow shop scheduling problems only permutation schedules (PFS) are considered, i.e., the same job sequence is used for all the machines involved. However, considering only PFS is not a constraint that is based on the real-world conditions of the industrial environments, and it is only a simplification strategy used frequently in the literature. Moreover, non-permutation (NPFS) orderings may be used for most of the real flow shop systems, i.e., different job schedules can be used for different machines in the production line, since NPFS solutions usually outperform the PFS ones. In this work, a novel mathematical formulation to minimize total tardiness and a resolution method, which considers both PFS and (the more computationally expensive) NPFS solutions, are presented to solve the flow shop scheduling problem with missing operations. The solution approach has two stages. First, a Genetic Algorithm, which only considers PFS solutions, is applied to solve the scheduling problem. The resulting solution is then improved in the second stage by means of a Simulated Annealing algorithm that expands the search space by considering NPFS solutions. The experimental tests were performed on a set of instances considering varying proportions of missing operations, as it is usual in the Industry 4.0 production environment. The results show that NPFS solutions clearly outperform PFS solutions for this problem.

The increasingly tight competition has caused problems for small and medium enterprises (SMEs) in increasing their marketing performance. During the last few years, the marketing performance of SMEs operating in the Project woodcraft industry sector in the Badung Bali has moved downwards. The goal of this research is to develop knowledge in the fields of Strategic Management, specifically regarding product innovation to achieve a competitive advantage in an attempt to improve internationalization and marketing performance. The population in this research is all of the SMEs operating in the woodcraft industry sector and is based in Badung Bali. The sample size in this research is determined based on Slovin's formula and the total includes 100 units of SME operating in the woodcraft industry. The method used is the quantitative approach, which examines the role of competitive advantage in mediating the influence of product innovation on internationalization and marketing performance. Based on the research results, product innovation has a positive and significant influence on both, competitive advantage and internationalization. Product innovation and competitive advantage have positive and significant influences on marketing performance. Competitive advantage has a positive and significant influence on internationalization. Meanwhile, it has been revealed that competitive advantage can mediate the influence of product innovation on marketing performance and competitive advantage can mediate the influence of product innovation on the internationalization of SME operating in the Project woodcraft industry sector in Badung Bali. Based on these findings, the project woodcraft industry SME in Badung Bali is advised to be more innovative in producing their products, so that there would be an increase in marketing performance in the international market. It is also recommended for subsequent researchers to add in other variables, such as product quality and market orientation, to enrich the information attained.

The aim of this study is to explore the Days sales of inventory (DSI) as an indicator for inventory management among energy companies in Saudi Arabia for the period ranging from 2012 to 2019. The results of this study indicate that Aldrees company is ranked the first in terms of managing its inventory in which the average value of the DSI for the period 2013-2019 was 5 days. The second rank in terms of the DSI value for the period 2012-2019 belongs to Bahri company in which the average DSI was 23 days. While the third rank was Petro Rabigh in which the DSI average was 31 days. The results of this study should be useful to policy makers at the company management and other external stakeholders such as investors, auditors and lenders.

This study aims to investigate the relationship among performance risk, safety risk, social risk, psychological risk, satisfaction, and intention to use Grab in Vietnam. Validated measurements were identified from a literature review. A convenience sample of 276 respondents was collected through online and offline survey. It was then analyzed by using SPSS and AMOS software. A reliability test, EFA, CFA and SEM were implemented. The results of this study indicate a negative relationship between safety risk and satisfaction and intention to use Grab cars. In addition, passengers’ satisfaction influenced intentions to use Grab cars. However, performance risk and social risk show no effect on satisfaction and intentions to use Grab service. The main contribution of this study is to create a framework of the effect of perceived risk types on intention to use Grab cars. The users care about their own safety and information security. In addition, the issue of said psychological risk is important because consumers are concerned about health and infectious diseases.

Emergency department (ED) overcrowding is a common issue in emergency medicine of Canada. Previous studies indicate that adding a physician in triage (PIT) can increase accuracy and efficiency in the initial process of patient evaluations. However, the PIT concept should be thoroughly researched before its widespread implementation can be recommended. This paper introduces the evaluation of impact of PIT on ED patient wait times and length of stay (LOS) using simulation modeling. A discrete-event simulation model of ED is built to simulate and predict the effect of PIT intervention. The model performance is validated using current-state ED flow metrics to quantitatively test multiple alternatives for ED improvements. Results show that the PIT implementation can reduce the ED patient LOS by an average of 34% and Waiting to be Seen time by 49% across all scenarios studied. The proposed method can be applied to improve the operation efficiency of healthcare systems in the current pandemic, COVID -19.

ERP implementation requires a substantial investment and typically built through project management, which needs a rigorous and in limited time management. ERP implementation requires enormous efforts to implement because it involves all business functions in the organization and partners (ERP vendors and consultants) This paper aims to examine the impact of implementing an enterprise resources planning project on firm performance and organizational citizenship behavior as a moderating variable. The study has surveyed 61 respondents representing 61 manufacturing companies domiciled in the region of East Java, Indonesia, which has adopted an ERP system for more than five years. Survey used questionnaire designed with a five-point Likert scale. The respondent is the key user who is responsible for the success of the ERP system in its business functions of the company. Data analysis used SPSS version 25 to assess the indicator validity and examine the hypothesis developed. The result showed that the implementation of the enterprise resources planning project directly affected firm performance. Second, organizational citizenship behavior directly influences firm performance. Third, the implementation of the ERP project influences firm performance with organizational citizenship behavior as a moderator vari-able. This research provides an insight to project manager in building employee relationship to complete the projects on time. This study also enriches the current research in the supply chain theory.