Consumer Behaviour Analysis in Online Music Purchases in Indonesia by Implementing 7P’s Marketing Strategy Using Quality Function Deployment (QFD)

Ariyani, Rizki; Yusnitasari, Tristyanti; Oswari, Teddy; Kusumawati, Reni Diah; Mittal, Saurabh

doi:10.11648/j.ajetm.20190403.11

Cited by 4 publications

(2 citation statements)

References 7 publications

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“…According to Fernando [9], waste from manufacturing production can be solved by eco-innovation. Moreover, as a result of the evolution of business opportunities in Malaysia, manufacturing companies will be able to gain market share and competitiveness [10]. Moreover, companies should focus more on the impact of the COVID-19 crisis on their business because it can affect sustainable business performance [7].…”

Section: Introductionmentioning

confidence: 99%

Eco-Innovation Capabilities and Sustainable Business Performance during the COVID-19 Pandemic

et al. 2022

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The COVID-19 pandemic has had a direct impact on the manufacturing industry in Malaysia because all economic activities had to be suspended for some time. This study explores the role that eco-innovation capabilities might play in improving sustainable business performance during the ongoing pandemic. This study employs a quantitative method by distributing online questionnaires to 80 small and medium enterprises (SMEs) in Klang Valley, Malaysia. In the study, the relationship between sustainable business performance and the three variables of eco-innovation capabilities, i.e., eco-product innovation, eco-management innovation and eco-logistic innovation, were determined using multiple regression analysis. The results indicate that two hypotheses are accepted and the other one is rejected. The findings indicate that most manufacturing SMEs in Klang Valley have adopted eco-management innovation and eco-logistic innovation as crucial capabilities for their businesses during the pandemic. However, due to the challenges faced by these SMEs during the pandemic, eco-product innovation was found to have an insignificant relationship with sustainable business performance. It is insignificant because of the low productivity rate observed during the pandemic. Hence, the COVID-19 pandemic has caused manufacturing SMEs in the Klang Valley to not be able to maintain their operations and stay on track. Therefore, this research may contribute to the efforts of policymakers, government agencies and managers of manufacturing SMEs in developing a strong innovation platform on which manufacturing SMEs may rely for support in enhancing their business capacity and performance.

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Section: Introductionmentioning

confidence: 99%

Eco-Innovation Capabilities and Sustainable Business Performance during the COVID-19 Pandemic

et al. 2022

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“…Here the Product structure and customer needs are mapped and analyzed by QFD model. 37,38 In product design, three aspects, namely, customer demand and product function and structure, should be considered. The mapping analysis is shown in Figure 2.…”

Section: Online Review Data Mining For Product Optimization Designmentioning

confidence: 99%

Product optimization design based on online review and orthogonal experiment under the background of big data

Hang

Tao

2020

Proceedings of the Institution of Mechanical Engineers, Part E:

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The individuation and diversity of customer demands motivates enterprises to compete in various aspects of services, such as product categories, cost, performance, marketing and after-sales service. Among them, product optimization design is the most important link, which determines whether an enterprise can achieve sustainable development in the market of fierce competition. For this reason, enterprises must implement various competitive strategies in terms of product diversity and characteristics. To solve this challenge, optimizing innovative product design is the key to help enterprises gain competitive advantage in the market. This paper presents a product optimization design based on online review and orthogonal experiment under the background of big data to meet customer needs. First, the big data of online reviews are collected from the web platform through the data collector, and the original data are processed by the apriori algorithm. Secondly, the fuzzy clustering was used to analyze the processed online reviews data to obtain customer needs. Finally, the product is optimized by orthogonal test based on customer needs. This paper analyzes the case of Huawei Honor 9 mobile phone, and obtains that the product appearance is the most concerned and dissatisfied product attribute of customers, and then optimizes the design of product appearance to improve customer satisfaction. Through this method, enterprises can improve the design of products according to the needs of customers in time, effectively overcome the defects of products, and help enterprises to establish a good relationship with customers, so as to promote the sustainable development of enterprises in the competitive market.

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Analysis of Marketing Mix and Website Performance on E-marketplace of Agricultural Products

Kusumawati

Oswari

Yusnitasari

et al. 2022

ICT Analysis and Applications

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Consumer Behaviour Analysis in Online Music Purchases in Indonesia by Implementing 7P’s Marketing Strategy Using Quality Function Deployment (QFD)

Cited by 4 publications

References 7 publications

Eco-Innovation Capabilities and Sustainable Business Performance during the COVID-19 Pandemic

Eco-Innovation Capabilities and Sustainable Business Performance during the COVID-19 Pandemic

Product optimization design based on online review and orthogonal experiment under the background of big data

Analysis of Marketing Mix and Website Performance on E-marketplace of Agricultural Products

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