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.

This paper investigates the effects of corruption and long-term investment of businesses in Vietnam using the General Least Square (GLS) estimation method for businesses in 63 provinces in Vietnam from 2016-2018. The results show that corruption was an important factor affecting the long-term investment decisions of Vietnamese enterprises. The ability to predict corruption of businesses can explain the phenomenon of part of the cash flow of businesses flowing out of production and business. Informal costs related to low-level administrative procedures act as “grease” to help businesses reduce time costs, but when the total amount of unofficial expenses exceeds 10% of revenue of businesses, they become a burden for businesses and restrain them from making long-term investments. Corrupted public officials' behavior has led businesses to misallocate resources and prevent them from making long-term investments. The result shows that the East Asia paradox holds only for the case of informal costs related to administrative procedures in Vietnam.

The construction process is inherently prone to risks. Risk management is an essential and integral part of project management on all construction projects. Risk analysis is one of the core components of risk management that enables professionals to quantify and analyze risks that may pose potential threats to project performance in terms of various parameters. This research was conducted to identify and analyze risks associated with residential construction in Bangalore. In this study, risk and its impact on time and cost was identified and analyzed. Schedule impacts of project risks were supplemented by conducting quantitative risk analysis such as Monte Carlo simulation and sensitivity analysis using the Primavera risk analysis software. In case of cost, the cost variance was found out and mitigation measures were given. Thus, by effectively managing the risks, organization has more timely, comprehensive and deeper understanding of risks which in turn facilitates better decision making and confidence to take on new ventures or even to accept higher level of risk.

Outbreak response can be viewed as a project for which the window of opportunity for planning is often quite limited. Therefore, regular evaluation for sharing the lessons learned is crucial, especially in the cases of national and global crises. As one of the major global concerns, the novel coronavirus, also known as COVID-19, has infected and killed many people in several countries worldwide. Hence, it is worth analyzing the performance of different countries in this regard. In this paper, the confirmed Case Fatality Rate (cCFR), and the confirmed Case Recovery Rate (cCRR) are considered as the main performance criteria, and the data are analyzed utilizing statistical confidence intervals (CIs) implemented in Python. The results identify the regions with high cCFR and low cCRR, as well as the regions with low cCFR and high cCRR. Finally, it is suggested to systematically transfer the knowledge and lessons learned from the high performing countries to where such information and knowledge is needed.

Nowadays, with the increasing number of projects in organizations, managers are enthusiastic about managing and controlling projects, and as projects become more complex and cause unforeseen risks, project management becomes even more critical. Using the earned value management method to control the current status of projects, and predicting the future status of projects has had many advantages. Representing the status of the project, and predicting the project performance by various indicators are some features of this method. As these indicators are deterministic, the risk of the prediction increases when the number of risks goes up in a project. Therefore, statistical methods can be employed to estimate the statistical distribution of risks and notably boost predicting accuracy. The purpose of this paper is to present a method for predicting project duration and cost of the project and selecting the best action plan. Control charts are used along with the earned value management method to increase accuracy. This model also provides the possibility of selecting the best action plan to improve project performance. Moreover, this method can be applied in each project phase separately. Finally, a case study is used to investigate the validity of the proposed method.

Distinguishing and diminishing risks in today’s projects are crucial for project success. Almost every project is facing several risks throughout the project timeline. Construction projects in Finland are also facing project risks due to the complexity of the project. To minimize the impact of risks, an effective risk management approach must be incorporated into every project which also includes the effectiveness and measurement of its performance. Managing the risks is an important job but measuring the RM performance is crucial. Thus, the objective of this study is to analyze the risk management (RM) and risk management performance measurement (RMPM) through an indepth empirical analysis of two complex construction projects of Finland. To achieve the objective, a qualitative case study is followed by the authors of this article to identify the RM processes, major and minor risks of the projects, RM strategies to mitigate them and RM performance measurement strategies. Overall, this article provides a comparative analysis of RM and RMPM for construction projects and it can be used as a basis for further research into RM perspective in complex construction projects.