Website Features Influencing Online Shopping Mall Performance: Moderating Role of Product Involvement

Lee, Jung Won; Jung, Okkyung; Kim, Ohsung; Lee, Yunhye; Park, Cheol

doi:10.7903/ijecs.1974

Cited by 2 publications

(1 citation statement)

References 44 publications

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“…This DSS design seeks to determine the suitable selection of custom batik design items based on consumer wants and capabilities. According to Lee et al [10], the features of Web 2.0 (e.g., decision aid) promote consumer participation in online shopping mall environments and customer relationships.…”

Section: Introductionmentioning

confidence: 99%

Pricing Decision System for Custom Design Batik

Suparmanto,

Asih,

Sudiarso

et al. 2024

JOIV : Int. J. Inform. Visualization

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The process of determining costs and prices in Make-to-Order (MTO) companies is generally complex because they make products according to special orders. Speed, accuracy, and consistency are necessary for a successful pricing estimation. Custom batik price, along with anticipated production time, is still done manually at the moment. Integration of design and manufacturing with computer-based was needed to produce custom batik products. This paper aims to develop a pricing decision system model for CAD custom batik motifs and written batik CNC machines used in the production processes. Customers can adapt their budgets by changing the parameters to suit their requirements and capacities using various price options. This model helps the customers to make buying decisions. The data and information were gathered through interviews, observations, and a literature review. The pricing decision system has been determined using the job order costing method, where prices are collected for each order separately according to the demand's identity or the order's cost. The system was developed through the prototyping process. This research has created a framework for determining the price for custom design batik based on 4 (four) parameters: the motif, the number of colors used, the type of color used, and the type (size) of the fabric used. Also, incorporating more comprehensive parameters has improved the system (motif size, number of colors, color selection, coloring techniques, and fabric sizes). The outcome of the calculation simulation demonstrates that the constructed model successfully calculated the unit price of products with accuracy. It shows that the system can be used in practical situations.

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Section: Introductionmentioning

confidence: 99%