This study investigates the relationships between individual characteristics (including outcome expectation; perceived relevance of training; trainee ability) and transfer of technical training (TTT) in Vietnamese enterprises. Quantitative method was employed to examine how individual characteristics influence TTT. A self-completion questionnaire was administered to 185 employees in seven Vietnamese enterprises. All these employees received training from their enterprise. The results show that three predicted individual factors significantly influenced on TTT. Based on the findings, this study suggest that in order to motivate trainee’s efforts to transfer, organisational changes should be conducted to offer bonus as well as perceived relevance of training succeeding training activities.

No-wait flow shop scheduling refers to continuous flow of jobs through different machines. The job once started should have the continuous processing through the machines without wait. This situation occurs when there is a lack of an intermediate storage between the processing of jobs on two consecutive machines. The problem of no-wait with the objective of minimizing makespan in flow shop scheduling is NP-hard; therefore the heuristic algorithms are the key to solve the problem with optimal solution or to approach nearer to optimal solution in simple manner. The paper describes two heuristics, one constructive and an improvement heuristic algorithm obtained by modifying the constructive one for sequencing n-jobs through m-machines in a flow shop under no-wait constraint with the objective of minimizing makespan. The efficiency of the proposed heuristic algorithms is tested on 120 Taillard’s benchmark problems found in the literature against the NEH under no-wait and the MNEH heuristic for no-wait flow shop problem. The improvement heuristic outperforms all heuristics on the Taillard’s instances by improving the results of NEH by 27.85%, MNEH by 22.56% and that of the proposed constructive heuristic algorithm by 24.68%. To explain the computational process of the proposed algorithm, numerical illustrations are also given in the paper. Statistical tests of significance are done in order to draw the conclusions.

This study is conducted to investigate the impact of corporate social responsibility (CSR) on supply chain management (SCM) and financial performance, and the effect of SCM on financial performance through the mediate role of corporate reputation and customer loyalty. In addition, the study tests the moderate role of firm size and the ratio of export products in the relationship between SCM and financial performance. The research sample is 389 Vietnamese garment and textile firms by collecting through survey questionnaire. The results show that corporate social responsibility has a positive impact on SCM and financial performance and SCM has a positive impact on financial performance. However, firm reputation and customer loyalty do not have any mediate role in the relationship between SCM and financial performance. Firm size and export product ratio play a moderate role with statistical significance in the relationship between SCM and financial performance.

In this paper, a new hybrid algorithm based on multi-objective genetic algorithm (MOGA) using simulated annealing (SA) is proposed for scheduling unrelated parallel machines with sequence-dependent setup times, varying due dates, ready times and precedence relations among jobs. Our objective is to minimize makespan (Maximum completion time of all machines), number of tardy jobs, total tardiness and total earliness at the same time which can be more advantageous in real environment than considering each of objectives separately. For obtaining an optimal solution, hybrid algorithm based on MOGA and SA has been proposed in order to gain both good global and local search abilities. Simulation results and four well-known multi-objective performance metrics, indicate that the proposed hybrid algorithm outperforms the genetic algorithm (GA) and SA in terms of each objective and significantly in minimizing the total cost of the weighted function.

Digitalization plays a crucial role on current competitive market and it is associated with the utilization of digital technologies to change business model and to deliver new value-producing opportunities to the current business environment in an aim to move towards a digital business. Therefore, to address new business model, the purpose of this study is to explore the effect of digital customer experience and electronic word of mouth on sustainable performance of supply chain through brand image and supply chain image. In this study, data is collected from employees of Indonesian ICT companies. Clusters were formulated, and respondents were selected randomly. Three hundred and fifteen (315) responses were analysed with the help of structural equation modelling. The results indicate that digital customer experience and electronic word of mouth played positive role on promoting brand image. Brand image had positive role to promote supply chain image which influences positively on sustainable supply chain performance. Therefore, this study is important for Information Communication and Technology (ICT) industry to implement various e-commerce practices to promote digital customer experience and electronic word of mouth.

Digitalization is impacting almost every aspect of people’s life and is greatly affecting supply chain processes. At the same time, supply chains are becoming progressively more aware of their impacts on people, the planet and profits (triple bottom line perspective) and the concept of sustainable supply chain has received increasing attention among scholars and practitioners. In this context, this article aims to analyze scientific research on supply chain management in the field of sustainability and digitalization using a bibliometric approach. To this end, this article analyses 484 papers from Scopus database according to the following parameters: chronology, discipline, source, center, country and citations. The dataset consisted of articles from scientific journals published over the period 2002–2018. In addition, VOSviewer software is used to map the bibliographic material using the co-occurrence of keywords and most influential journals. The analysis reveals that: sustainability and digitalization are important emerging fields within supply chains that have increased significantly during the last ten years; the USA is the most influential country; and the topic is structured around 2 clusters (1) Supply chain management, concepts and practices and (2) energy related technologies. The results may facilitate the planning, designing, running and publishing of future research on this topic.

This study aims to investigate the multi-item inventory model in a production/rework system with multiple production setups. Rework can be depicted as the transformation of production rejects, failed, or non-conforming items into re-usable products of the same or lower quality during or after inspection. Rework is very valuable and profitable, especially if materials are limited in availability and also pricey. Moreover, rework can be a good contribution to a ‘green image environment’. In this paper, we establish a multi-item inventory model to determine the optimal inventory replenishment policy for the economic production quantity (EPQ) model for imperfect, deteriorating items with multiple productions and rework under inflation and learning environment. In inventory modelling, Inflation plays a very important role. In one cycle, production system produces items in n production setups and one rework setup, i.e. system follows (n, 1) policy. To reduce the deterioration of products preservation technology investment is also considered in this model. Holding cost is taken as time dependent. We develop expressions for the average profit per time unit, including procurement of input materials, costs for production, rework, deterioration cost and storage of serviceable and reworkable lots. Using those expressions, the proposed model is demonstrated numerically and the sensitivity analysis is also performed to study the behaviour of the model.

This study aims to contribute to the ongoing debate over accounting conservatism through examining whether the corporate strategy can provide a logical justification for the conservatism, and whether this justification is consistent with or contradicts the contractual justification. In this context, the study examines the impact of corporate strategy on the level of conservatism in financial statements, and the impact of the level of conservatism on corporate investment level. Using data from a sample of non-financial Saudi listed companies, the results show that prospector companies are more likely to provide more conservative financial statements, and the level of conservatism influences investment level. The results also show that the integration between corporate strategy and the level of conservatism influence the level of investment. These results suggest that accounting conservatism can be explained in the context of both business strategy and contractual benefits. Also, the results imply that adopting business strategy could influence the financial reporting process.

The purpose of this paper is to investigate the relationship between green supply chain management (GSCM), sustainability and environmental uncertainties through corporate social responsibility (CSR) perspective. The study also tries to examine the mediating role of environmental uncertainties in the relationship between green supply chain management and sustainable performance. The study is carried out on firms in oil and gas sector of Kingdom of Oman and the results are analyzed using SEM-PLS. The findings reveal the fact that sustainable performance has become the primary objective of the organizations. Achieving sustainable performance is now becoming the main objective for business firms globally. Environmental obligation has caused many business firms to comply with the regulations. The green supply chain management is emerged as a significant determinant of CSR implantation success. According to this study the practice of the GSCM however requires integration among green supply chain partners to achieve sustainable performance. The findings have a number of managerial implications that could contribute to Omani’s industries for planning and development a GSCI strategy through the internal, upstream, and downstream of the green supply chain perspective. The managers should develop a comprehensive environmental strategy, which requires the implementation of internal environmental management initiatives and cooperation from both suppliers and customers.

This study aimed to examine the determinants of lending interest rates of 13 Jordanian commercial banks listed on the Amman Stock Exchange for the period 2011-2018. The factors include liquidity, profitability (ROA), bank size, operating cost ratio, deposit interest rate and inflation rate. The fixed effects model was performed as suggested by Hausman test. The results of the fixed effects model show that ROA and bank size had negative significant impacts on lending interest rates. Liquidity had a negative insignificant impact. The results also show that deposit interest rate and inflation had a positive significant impact on lending interest rate of Jordanian commercial banks. Operating cost ratio also had a positive insignificant impact. Thus, the results indicate that ROA, bank size, deposit interest rate and inflation were good determinants of the lending interest rates of Jordanian listed commercial banks. The study suggests that banks should use profitability and the size of the bank as tools to reduce the lending interest rate, as it is one of the factors that can cause a further decrease in the lending interest rates.