The Status of Supply Chain Management in Argentina's Food Industry

1997 ◽  
Vol 8 (1) ◽  
pp. 87-96 ◽  
Author(s):  
Ignacio Sánchez Chiappe ◽  
Victor Angel Herrero
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Food Production ◽  
Food Industry ◽  
Statistical Significance ◽  
Chain Management ◽  
The Status

In recent years, the food industry has evolved dramatically showing Argentina's real capacity for food production. A survey on supply chain management was developed and data were collected from both suppliers and buyers at three levels of the supply chain. Statistical significance in difference of means for both groups is analyzed and drivers and trends emerging from those samples are shown.

scholarly journals Mapping domain characteristics influencing Analytics initiatives: The example of Supply Chain Analytics

2020 ◽  
Vol 13 (1) ◽  
pp. 56
Author(s):  
Tino Herden
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Success Factors ◽  
Research Collaboration ◽  
Future Research ◽  
Structured Interviews ◽  
Chain Management ◽  
Domain Specific ◽  
The Status ◽  
The Impact

Purpose: Analytics research is increasingly divided by the domains Analytics is applied to. Literature offers little understanding whether aspects such as success factors, barriers and management of Analytics must be investigated domain-specific, while the execution of Analytics initiatives is similar across domains and similar issues occur. This article investigates characteristics of the execution of Analytics initiatives that are distinct in domains and can guide future research collaboration and focus. The research was conducted on the example of Logistics and Supply Chain Management and the respective domain-specific Analytics subfield of Supply Chain Analytics. The field of Logistics and Supply Chain Management has been recognized as early adopter of Analytics but has retracted to a midfield position comparing different domains.Design/methodology/approach: This research uses Grounded Theory based on 12 semi-structured Interviews creating a map of domain characteristics based of the paradigm scheme of Strauss and Corbin.Findings: A total of 34 characteristics of Analytics initiatives that distinguish domains in the execution of initiatives were identified, which are mapped and explained. As a blueprint for further research, the domain-specifics of Logistics and Supply Chain Management are presented and discussed.Originality/value: The results of this research stimulates cross domain research on Analytics issues and prompt research on the identified characteristics with broader understanding of the impact on Analytics initiatives. The also describe the status-quo of Analytics. Further, results help managers control the environment of initiatives and design more successful initiatives.

Supply Chain Management Practices and Firm Performance

2012 ◽  
pp. 214-221
Author(s):  
Abdul Razak Ibrahim ◽  
Ali Hussein Zolait ◽  
Veera Pandiyan Sundram
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Firm Performance ◽  
Strategic Alliance ◽  
Management Practices ◽  
Transformation Process ◽  
Raw Material ◽  
Chain Management ◽  
Electronic Manufacturing ◽  
The Status

Supply chain management (SCM) is the integration and strategic alliance involving all the value-creating elements in the supply, manufacturing, and distribution processes from raw material extraction, the transformation process, and end user consumption. This paper explores the SCM activities carried out by electronic manufacturing organizations in Malaysia and determines the correlation between SCM practices and firm performance. A self-administrated questionnaire based survey technique was employed to ascertain the status of SCM adoption and the practices in SCM that are significant for Malaysian electronics manufacturers. The findings suggest that the adoption of SCM activities is reasonably moderate.

scholarly journals Food production and supply chain management

OR Spectrum ◽  
2010 ◽  
Vol 32 (4) ◽  
pp. 861-862 ◽  
Author(s):  
Martin Grunow ◽  
Jack van der Vorst
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Food Production ◽  
Chain Management

scholarly journals Sustainable supply chain management - the influence of local stakeholder expectations in China's agri-food industry

2012 ◽  
Vol 12 (3) ◽  
pp. 273-289 ◽  
Author(s):  
Pao Kao ◽  
William Redekop ◽  
Cecilia Mark-Herbert
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Emerging Markets ◽  
Food Processing ◽  
Food Industry ◽  
Sustainable Supply Chain ◽  
Chain Management ◽  
Stakeholder Expectations ◽  
Sustainable Supply Chain Management ◽  
Local Stakeholder

Multinational food processing corporations are facing rapid growth in emerging markets like China and a concurrent need for sustainable supply chain management (SSCM). These firms attempt to address supply risk and threat to the triple bottom line through managing suppliers and inputs, and at the same time need to overcome the uncertainty raised by the unfamiliar host environment. An exploratory qualitative case study of two multinational food processing corporations in China finds their SSCM practices are impacted by the nature of the raw material inputs as well as local stakeholder expectations. In particular, government policy and media attention seems to influence the direction and choice of SSCM activities engaged in by the focal firms. Furthermore, the discussion also suggests a possible permanent effect may occur as stakeholder expectations and host country institutions evolve. The implication of this study is that food processors preparing to enter emerging markets should be aware that local stakeholder expectations may affect operations significantly more than previously expected. As such, these firms need to carefully evaluate their operations in the host market and seek balance between SSCM practices and local stakeholder expectations. This study extends existing research on SSCM, exploring practices among the agri-food industry in a developing economy, and points out a theoretical extension to the existing sustainable purchasing portfolio matrix.

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