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.

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 focuses on measuring the impact of trade agreements on Vietnam's rice exports based on secondary data sources produced by the General Statistics Office, the World Bank, and International Monetary Fund. Structural gravity model was employed for analyzing and quantifying the impact of trade agreements on rice export of Vietnam. The results show the impact of Trade Agreements on Vietnam’s rice exports is relatively low and not all Agreements bring positive effects. Based on the findings, we give some recommendations for Vietnam's rice export to adapt more to the contents and standards of the Trade Agreements and will be participating in the future.

Corporate social responsibility (CSR) is one of the important factors to increase the customer satisfaction. It is part of the economic, legal and moral exercises of a business element guided towards enhancing the business and societal desires. However, companies are facing various issues while adopting CSR practices, particularly Indonesian logistics companies. Challenges in the way of CSR practices affect adversely on customer satisfaction. Therefore, the objective of the present study is to highlight the role of CSR in customer satisfaction among Indonesian logistics firms. In this study, opinions of logistics customers were gathered through survey questionnaires. All the responses were analyzed through structural equation modeling technique. The findings of the study suggest that logistics companies should focus on two CSR practices, 1) environmental contribution and, 2) human resources. Environmental contribution and human resource promote community development which lead towards higher customer satisfaction.

This study focuses on the factors of financial supply chain (FSC), financial institutions, and inventory for supply chain efficiency through various cost dimensions. To address this objective, a questionnaire is developed, based on various items of selected variables and it is presented to a targeted sample of supply chain practitioners, business managers and industry experts. A final sample of 216 respondents is observed for both descriptive and inferential analysis. To check the significance of each indicator under FSC, financial institutions and inventory factors, confirmatory factor analysis is conducted. Empirical facts explain that factors like financial supply chain as risk prevention strategy had a significant influence on supply chain efficiency. Through inventory factors, communication with vendors for raw material also indicate a significant impact on efficiency of Supply Chain (SC). This study would help both industry experts and business managers integrate financial supply chain, inventory factors and financial institutions for cost efficiency of supply chain. The limitations of the study includes a limited sample size and restricted indicators of inventory management. Future studies can be implemented while addressing these limitations through improved econometric methods.

The present article exposes a model of Mixed Integer Linear Programming (MILP) as a support for strategic decision making, guided to the location of facilities in ethanol supply chains under a configuration of collection centers of raw material and production plants, directly impacting costs related to logistics and operations. The model is applied to the supply chain for the production of ethanol from two by-products and a coffee residue (pulp, mucilage, and stems, respectively) in Colombia. The results obtained by the model allow identifying locations for the corresponding links to the three types of biomass considered, and the flows of raw material between coffee producing departments and collection centers, from the latter to production plants, and from this, where the transformation of ethanol to mixing centers is generated.

Indonesia has recorded tremendous growth in this decade given a new dimension to her economy. Presently Indonesian economy is the fourth largest in East Asia, after China, South Korea and Japan – and one of the largest in terms of purchasing power parity (PPP), worldwide. This performance can be further improved by employing better supply chain practices. This study observes how green supply chain (GSC) practices can improve foreign direct investment (FDI) and export on Indonesian economic growth. Data is collected from Indonesian economists through a survey questionnaire and is analyzed using PLS-SEM. The results of the study indicate that GSC had positive impact on the economic growth of Indonesia. GSC has also maintained a positive impact on exports and FDI and it is considered crucial for the economic growth. The study shall have broad implications in strategic formulations to boost economic growth.

The primary objective of this study is to find the role of different policies on supply chain performance (SCP). To achieve this objective, quality assurance policies (QAP) and continuous process improvement (CPI) are selected as independent variables. Additionally, the moderating effects of environmental regulations and policy (ERP) are examined between various policies and SCP. ERP is taken as moderating variable because the role of ERP in logistics is crucial. Logistics transport has serious effect on environment due to the emission of CO2. Primary data are collected from supply chain companies of Indonesia. Three hundred questionnaires are used in this study and they are analyzed through statistical tests. Conclusion of the study shows that QAP and CPI had major role in SCP. Better implementation of QAP and CPI increase the SCP among Indonesian supply chain companies. Moreover, ERP is a moderating variable between the relationship of QAP and CPI and SCP. Therefore, Indonesian supply chain companies should enhance the policies related to quality assurance, process improvement and environmental policies to enhance SCP.

Attributable to high competition in global manufacturing market and outsourcing suppliers, many supply chain systems have become more complex and faced with high risks and low performance. Many financial losses and failures are likely to be due to risks among supply chain's components. As a prescription to improve quality, performance, and profitability of the supply chain, companies would like to measure and optimize the reliability of the entire supply chain system. Also, companies are interested in minimizing the cost of processes and improvement throughout the supply chain system. This paper explains a statistical method that measures the reliability rate of each part in the system as well as the entire supply chain. Moreover, the paper elucidates a mathematical model that improves the reliability of the supply chain through minimization of cost components. The results and findings of this study confirm that the proposed model can be applied to improve the supply chain system. Also, the system can be improved to reach a designed reliability rate as given target to the model. The illustrated methodology can be used as a guide on how to develop a reliable supply chain system plan with low possible costs.