The recent progress of Financial Information System (FIS) has significantly affected businesses’ sustainable production process. Businesses generally employ FIS to automate their operational procedures and increase their corporate efficiencies through improvement in output quality and sustainability. The performance of FIS has been attributed to its key success criteria. Accordingly, this study examined antecedents of FIS intention to use among Small and Medium-Size Enterprises (SMEs) in Jordan at individual level, with specific focus on the acceptance and use of FIS among accounting department employees. Based on 436 respondents from Jordanian SMEs, results showed an impact of COVID-19 risk, trust, performance expectancy, and perceived severity on the intention to use FIS, whereas effort expectancy and perceived vulnerability showed no impact on the intention to use FIS among Jordanian SMEs.

Systematic literature review in supply chain and decision support system, in general, have been rapidly performed during the last decade. However, the studies on the epistemological progress of decision support system related to the supply chain are still lacking. This study intended to provide comprehensive information on the trends, methodologies and the applications on different sectors and platforms used by scientists for building their decision support systems in supply chain. We used different keywords to collect the raw data based on articles published in well-known journals in the world to select the eligible studies which furthermore assembled. The data were processed by using bibliometric tool in VOSviewer and Microsoft Excel. The results of this systematic review give some key learning of the trends on the use of decision support system on smoothing the flow of supply chain and the logistic performance in the last decade and also provide a background for future research related to the fields.

This study investigates the mediating effect of smart digital organizations on the relationship between digital leadership, digital talent scholarships, and learning management systems on digital technology adoption. This idea was tested using a quantitative methodology in this study. The research instrument was a questionnaire filled out by the respondents. Participants in this study were all lecturers and students at Palangka Raya University, Kalimantan, Indonesia. Two hundred thirty-six participants were randomly selected for this study, and data were analyzed using a structural equation model (SEM). This study found that digital leadership, digital talent scholarships, and learning management systems have a beneficial and statistically significant influence on digital technology adoption. In addition, smart digital organizations mediate the link between digital leadership, digital talent scholarships, and learning management systems on digital technology adoption. This research is helpful for higher education institutions because information technology is necessary to face the era of globalization. The novelty of this research offers its research analysis with quantitative analysis.

This article paper presents a hybrid metaheuristic algorithm to solve the time-dependent vehicle routing problem with hard time windows. Time-dependent travel times are influenced by different congestion levels experienced throughout the day. Vehicle scheduling without consideration of congestion might lead to underestimation of travel times and consequently missed deliveries. The algorithm presented in this paper makes use of Large Neighbourhood Search approaches and Variable Neighbourhood Search techniques to guide the search. A first stage is specifically designed to reduce the number of vehicles required in a search space by the reduction of penalties generated by time-window violations with Large Neighbourhood Search procedures. A second stage minimises the travel distance and travel time in an ‘always feasible’ search space. Comparison of results with available test instances shows that the proposed algorithm is capable of obtaining a reduction in the number of vehicles (4.15%), travel distance (10.88%) and travel time (12.00%) compared to previous implementations in reasonable time.

The main concern of the current empirical research is to examine the role of management accounting techniques in determining the relationship between purchasing and supplier management in the retail sector of Kazakhstan, which during the last four years, has grown significantly. This study is based on the premise that managerial accounting is aligned with many factors such as quality, reliability, and price along with make-or-buy analysis, supplier certifications, value analysis, and certification as well. Besides, planning and sharing of information and holding ethical standards can also be aligned with managerial accounting. Employing a survey-based methodology, the SEM-PLS technique is used as a statistical tool to test the hypothesized relationships and answer the research questions of this study. The findings of the study provide support to the theoretical framework and a ground to examine the hypotheses of the current study. The results reveal that the cost of purchased goods did not represent only the purchasing element but also such factors like quantity and quality of goods and delivery time that can significantly influence any organizational operations. The study reiterates that the basic purpose of managerial accounting with reference to purchasing is the formulation and execution of a purchasing plan for goods with the supporting operation strategies. These findings will be helpful for policymakers and practitioners to understand the issues related to management accounting techniques and determine the relationship between purchasing and supplier management in the retail sector.

Nowadays, weekend travel is gradually gaining people's attention due to societal impacts, with the desire to improve health, relax, rest, and entertain after days of exhausting work. Therefore, the development of weekend travel is a strategy of interest to managers and leaders, leading to intense competition among destinations. Although it has been long established worldwide, weekend travel in Vietnam has only recently gained popularity, primarily among young people. Therefore, researching the factors influencing the decision to choose weekend travel destinations is significant in developing strategies for this type of tourism. The research results show that the choice of weekend travel destinations by Ho Chi Minh City tourists is driven by various internal and external factors. Among them, internal motivations, income, convenience in the trip, the image of the destination, etc., are factors rated highly by tourists. There are significant differences in some internal and external factors according to age groups. Model testing and research hypotheses indicate that 66.4% of destination choices are influenced by the proposed factors in the model. Among them, the destination image has the most significant impact, followed by income, internal motivations, and distance. The remaining factors in the model have low or no impact on the satisfaction and commitment to return to weekend travel destinations for Ho Chi Minh City tourists.

A dynamic system differs from a static system in that it contains signal factor and the target value depends on the level of the signal factor set by the system operator. The aim of optimizing a multi-response dynamic system is to find a setting combination of input controllable factors that would result in optimum values of all response variables at all signal levels. The most commonly used performance metric for optimizing a multi-response dynamic system is the composite desirability function (CDF). The advantage of using CDF is that it is a simple unit less measure and it has a good foundation in statistical practice. However, the problem with the CDF is that it does not consider the variability of the individual response variables. Moreover, if the specification limits for the response variables are not provided the CDF cannot be computed. In this paper, a new performance metric for multi-response dynamic system, called multiple regression-based weighted signal-to-noise ratio (MRWSN) is proposed, which overcome the limitations of CDF. Two sets of experimental data on multi-response dynamic systems, taken from literature, are analysed using both CDF-based and the proposed MRWSN-based approaches for optimization. The results show that the MRWSN-based approach also results in substantially better optimization performance than the CDF-based approach.

This study aims to identify and mitigate supply chain risks associated with organic rice in Thailand, based on the principle of supply chain risk management (SCRM). The risk measurement is performed using Best-Worst method (BWM) for ranking the criticality of different factors in order to find the appropriate ways for improving and developing new ideas for supply risk chain management. The study identifies 26 risk factors associated with the organic rice supply chain based on the literature and interviews with four experts. The order of risk priority in the organic rice supply chain in descending order (the top 5) is as follows: Lack of efficient equipment or machinery, Lack of organic rice mill, Lack of labor, Transportation cost, and Production cost. The SCRM guidelines of organic rice in Thailand include cost reduction and investment in infrastructure.

The paper examined the influence of digital marketing and e-commerce on marketing performance and sustainability of the small and medium enterprises (SMEs). This research is quantitative research using a questionnaire approach method. Quantitative research is a research method based on the philosophy of positivism, used to research certain populations or samples, collecting data using research instruments, quantitative or statistical data analysis, with the aim of testing predetermined hypotheses. The sampling technique in this research is non-probability sampling. The respondents of this research were 580 SME owners in Indonesia. Research data was obtained by distributing online questionnaires via social media. The questionnaire was designed using a Likert scale from 1 to 7 and the analysis of research data used structural equation modeling (SEM). Based on the research results, it is concluded that digital marketing had a positive and significant relationship to marketing performance, E-Commerce had a positive and significant relationship with marketing performance, Digital marketing had a positive and significant relationship with business sustainability. In SMEs, E-Commerce had a positive and significant relationship with business sustainability in SMEs.

This paper is intended to evaluate intermediary role of SCI in the relationship between supply chain management practices (SCMP) and supply chain performance (SCP) and, at the same time, to examine the regulatory role of firm size and transformational leadership in this relationship. The research is conducted on 536 Vietnamese textile and garment enterprises and the results show that SCI had a complete intermediary role in the relationship between SCMP and SCP. Additionally, Size and Transformational leadership also play statistically significant regulatory role in the relationships between SCMP and SCI as well as between SCMP and SCP. Accordingly, it is recommended that enterprises should implement SCMP well to improve the effectiveness of SCI and SCMP, contributing to sustainable development and ensuring requirements of global supply chains.