Developing Social Trustworthiness of the Halal Fried Chicken MSMEs’ Value Chain in Malang

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The value chain is an essential framework for understanding how industries create and sustain value for consumers or target markets. It encompasses various activities that contribute to delivering valuable products, such as supplier, channel, and buyer value chains. The primary activities in the value chain include inbound logistics, operations, outbound logistics, marketing and sales, and service. This study analyzes the value chain, focusing on halal fried chicken MSMEs, in the Malang Raya. A quantitative descriptive method was employed, involving 56 randomly selected respondents, starting from MSMEs' owners, managers, and operational staff. Data collection techniques included a survey method with questionnaires, in-depth interviews, and observations. The analysis utilized a Likert scale to measure key value chain elements such as inbound logistics, operations, outbound logistics, marketing, and service. The results indicate that the halal value chain ecosystem in Malang Raya is well-established. Respondents agreed that critical activities such as material storage, smooth distribution, product quality control, customer service, and satisfaction significantly impact the success of MSMEs in the region. This study highlights the importance of halal certification and optimal value chain management to enhance product competitiveness in local and international markets. These findings provide insights for policymakers to support the development of the social trustworthiness of the halal value chain ecosystem, ensuring that MSMEs remain competitive in the growing halal food sector.

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  • International Scientific Journal of Engineering and Management
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  • Cite Count Icon 3
  • 10.32347/2411-4049.2023.4.62-73
Clusters in industrial ecosystems – new innovative trends in the development of post-war Ukraine
  • Dec 26, 2023
  • Environmental safety and natural resources
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The article discusses the importance of creating and developing clusters in the context of the digital economy and socio-ecological transformation. The main goal is to unite competencies and resources through common strategies and projects to increase the innovative potential of clusters and their participants. The article emphasizes the need to build and support industrial-technological partnerships worldwide as a key task for industrial clusters. The importance of developing the production sector and supporting one's own technological level for the development of the economy and ensuring national well-being, particularly in Ukraine, is also highlighted in the article.Different ways and motives are proposed for strategic partnerships between clusters, including cooperation in management training, identification of international innovations, exploration of new markets, and initiation of international scientific research projects.The need to create a professional management team of clusters was emphasized in times of digitalization, economic and socio-ecological transformation, as only clusters cover various areas of knowledge and will closely cooperate with other market participants. Moreover, increasing the innovation potential of clusters and their participants is becoming more and more important. This facilitates the pooling of competences and resources through joint strategies and joint projects.The importance of identifying structural gaps in industrial ecosystems to maximize the benefits of potential collaborations and promote innovative policies for upgrading business processes and equipment is considered. The geographical boundaries of the industrial ecosystem are determined by the interdependencies that connect organizations within its boundaries and new ties that strengthen beyond its boundaries. Industrial ecosystems are defined as multi-level production systems that include heterogeneous agents involved in value chains, as well as those who contribute to the realization of their potential and the country's productive capacity. The value chain can be divided into five main types of activities: inbound logistics, production, outbound logistics, marketing and sales, and after-sales services, and may also contain secondary or supporting activities that contribute to the effectiveness of the main activities. The article emphasizes that defining the real boundaries of industrial ecosystems is critical for governments interested in supporting them and transforming them into closed-loop innovation systems.

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EBusiness and Customer Service
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Quality Management on the Supply Side
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  • Research Article
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물류창고의 적재전략이 입․출고 물류 운영에 미치는 영향 분석: 가전제품 제조사 사례 연구
  • Dec 31, 2020
  • Journal of the Korean Society of Supply Chain Management
  • Seongpil Kim + 1 more

Inbound and outbound logistics in warehouse operation has an impact on supply chain performance. In this study, the purpose is to analyze the effects of storage policies of a warehouse on inbound and outbound logistics. We define five storage policies for the warehouse that responds to 60 SKU refrigerator products produced at the production line. The warehouse operates two docks by separating the inbound and outbound in order to carry out the inbound and outbound at the same time. We develop a discrete-event simulation model to compare the performance among storage policies. Also, we use simulation to analyze the effect of storage policy on forklift working time and truck waiting time. As a result of simulation experiments, we confirmed that the storage policies could improve the truck waiting time on inbound and outbound logistics. Future research would aim to analyze the effect of warehouse inbound and outbound logistics on the supply chain.

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WORK AUTONOMY, CONTROL AND DISCRETION IN INDUSTRY 4.0
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The term Industry 4.0 was first mentioned in 2011 in Germany as a proposal for the development of an economic policy based on high-tech strategies to boost the competitiveness of the manufacturing sector. It refers to the industrial application of technologies such as cyber-physical systems, the Internet of Things and smart robots (e.g. embedded computers and networks, communication protocols and operating systems, learning machines, mobile phones, laptops, etc.), big data, and additive manufacturing. These technologies make it possible to use a virtual representation of physical processes for their control and surveillance. Moreover, they allow the real-time exchange of data between machines, humans, and humans and machines, and end-to-end ICT-based integration of the various activities of the value chain (inbound logistics, production, maintenance, outbound logistics, marketing, service, and transport) within and across organisational boundaries (Hermann et al., 2015; Kagermann et al., 2013; Pfeiffer, 2017; Roblek et al., 2016; Valenduc and Vendramin, 2016).

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