In supply chain management (SCM), two topics have gained importance over the last years. On the one hand, sustainable SCM (SSCM) has become increasingly relevant and many publications have contributed to the topic. On the other hand, information technology (IT) is being progressively considered as a key enabler for efficiency in supply chains. Several research efforts have contributed to the field of IT for SSCM. However, this paper is the first recent attempt to summarise the current state of the art of how IT can affect SSCM in any structured way and to compare it with IT for 'general' SCM to give guidance for future research. This paper surveys 55 peer-reviewed articles that were retrieved through keyword searches (until May 2014). The analysis identifies research deficits as well as a lack of scientific discourse employing empirical techniques and a lack of investigations on the social sustainability. Additionally, possible topics for further research were derived by comparing the survey's results with the current research on IT for 'general' SCM following the analysis of 631 articles. Six fields could be identified, namely output/effects of IT, machine communication and multiagents, inputs and IT-supported processing, IT-enabled interorganisational exchange, quantitative IT approaches and a sector focus.
ARTICLE HISTORY
This paper presents an expert system to monitor social sustainability compliance in supply chains. The system allows to continuously rank suppliers based on their risk of breaching sustainability standards on child labor. It uses a Bayesian network to determine the breach likelihood for each supplier location based on the integration of statistical data, audit results and public reports of child labor incidents. Publicly available statistics on the frequency of child labor in different regions and industries are used as contextual prior. The impact of audit results on the breach likelihood is calibrated based on expert input. Child labor incident observations are included automatically from publicly available news sources using text mining algorithms. The impact of an observation on the breach likelihood is determined by its relevance, credibility and frequency. Extensive tests reveal that the expert system correctly replicates the decisions of domain experts in the fields supply chain management, sustainability management, and risk management.
This study aims to determine the factual conditions regarding the scale of business and technology adoption related to the need for rice agricultural labor, the amount of production and productivity that have an impact on meeting the living needs of farmers and their families. The research method used for primary data collection with Multi Stage Random Sampling. Research areas are Musi Rawas Regency and Banyuasin Regency, which respectively represent agricultural areas with technical irrigation and tidal swamps. In each district, two villages were selected, so that there were four sample villages, and 50 farmers in each village were selected, so there were 200 respondent farmers. The results showed rice farming in tidal areas use less labor but wider cultivated area, higher productivity and welfare than farmers in irrigated areas. Potential labor transition from one sector to others in irrigated areas is greater than the tidal area, so rice farming sustainability in tidal land is than technical irrigation area.
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