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Showing 2 results for Digitalization

La Sinaini, S Saptana, Sri Bananiek, Bungati Bungati,
Volume 35, Issue 1 (3-2024)
Abstract

Cashew nuts, a plantation commodity from Indonesia, come with a high economic value. Cashew nut processing enterprises are crucial in elevating the value added, broadening the work field, and enhancing labor absorption. This research provides an analysis of the performance and marketing strategy of micro, small, and medium enterprises (MSMEs) of cashew nut processing in Muna. It was a case study using explorative, descriptive, and qualitative methods and involved an informant, i.e., the owner of CV Hukasari Semesta. Results demonstrated that CV Hukasari Semesta contributed to the household economic sector, especially in espousing the cashew nut supply chain, which consisted of cashew nut farmers as the key material suppliers, village collecting traders, transport workers, transportation entrepreneurs, processing workers, and store employees. In operating the cashew nut processing business, parties concerned applied strategies for staple ingredient procurement, processing process, management, packaging, capital procurement, more labor recruitment, processing technology procurement, product innovation by varying product packaging and flavors, market network expansion by distributing products to supermarkets and retailers, and market segmentation. Additionally, among the marketing strategies to escalate cashew nut processing MSMEs in Muna were improving product innovation by developing more attractive product packaging based on national standards, carrying out well-planned branding, developing digital-based product information and marketing systems, honing processing and marketing labor skills, increasing processing industrial tool technology, and bolstering business capital.

Sina Nayeri, Mahla Zhain Vamarzani, Zeinab Asadi, Zeinab Sazvar, Nikbakhsh Javadian,
Volume 35, Issue 3 (9-2024)
Abstract

This study focuses on evaluating potential raw material providers (RMPs) as one of the critical tasks of the logistics managers. In this regard, the literature showed that the simultaneous consideration of resilience, digitalization, and circular economy in the RMP selection problem (RMPSP) has been ignored by previous studies. Therefore, to cover the mentioned gap, this research attempts to study the RMPSP by considering other crucial concepts namely resilience and Circular Economy (CE). For this purpose, by considering a real-world case study in the steel industry, the current work first specifies the indicators of the research problem. Then, the indicators’ weights are measured using the stochastic Best-Worst Method (BWM). In the next step, the RMPs are prioritized by developing a novel approach called the stochastic Technique for Order Preference by Similarity to Ideal Solution (TOPSIS). In general, the main objective of this study is to evaluate the performance of the RMPs in the steel industry based on the CE, resilience, and digitalization aspects. According to the achieved results, “Reliability”, “Price”, “Quality”, “Reverse logistics and Waste management”, “Information systems usage”, and “Restorative Capacity”, are identified as the most desirable indicators. Moreover, the results confirm the effectiveness and validation of the developed method.


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