Mining demand chain knowledge for new product development and marketing

[[abstract]]Many enterprises devote a significant portion of their budget to new product development (NPD) and marketing to make their products distinctive from those of competitors, and better fit the needs and wants of consumers. Hence, knowledge and feedback on customer demand and consumption experience has become an important information and asset for enterprises. This paper investigates the following research issues in a world leading bicycle brand/manufacture company, GIANT of Taiwan: what exactly are the customerspsila ldquofunctional needsrdquo and ldquowantsrdquo for bicycles? Does knowledge of the customers and the product itself reflect the needs of the market? Can product design and planning for production lines be integrated with the knowledge of customers and market channels? Can the knowledge of customers and market channels be transformed into knowledge assets of the enterprises during the stage of NPD? The a priori algorithm is a methodology of association rule for data mining, which is implemented for mining demand chain knowledge from channels (sales and maintenance) and customers. Knowledge extraction from data mining results is illustrated as knowledge patterns and rules in order to propose suggestions and solutions to the case firm for NPD and marketing.[[notice]]補正完畢[[incitationindex]]SCI[[incitationindex]]E

An evaluation of demand focused chain contribution to industrial sustainability

Due to variable customer expectations; it is required to highlight the existing gaps in “demand” patterns where the stakeholders observe the end consumers over a focused viewpoint. A systematic critical review is conducted to identify and address the literature gaps in a methodical manner. Given the lack of life-cycle analysis (LCA) in many manufacturing industries, the research presents the use of appropriate strategies for designing new eco-friendly products utilising engineering knowledge and R&D innovation. However, a comprehensive LCA would be carried out in future stages of the research to enable industrial designers to critique the performance and identify the potential environmental impacts associated with the product lifecycle. The research proposes to develop a novel framework for an effective linkage between supply-demand chain approaches and the new product development (NPD) processes considering innovative environmental practices. The results of this study can be utilised by researchers and practitioners researching within similar context

A Review of Supply Chain Data Mining Publications

The use of data mining in supply chains is growing, and covers almost all aspects of supply chain management. A framework of supply chain analytics is used to classify data mining publications reported in supply chain management academic literature. Scholarly articles were identified using SCOPUS and EBSCO Business search engines. Articles were classified by supply chain function. Additional papers reflecting technology, to include RFID use and text analysis were separately reviewed. The paper concludes with discussion of potential research issues and outlook for future development

Designing a conceptual framework to investigate the influences of sustainability on demand chain studying new product development in manufacturing sector

Industrialisation has resulted in global competition requiring businesses to enhance their products and services to survive. Besides, the global climate emergency and sustainability challenges are not issues to be taken lightly. Industrial activities can play a critical role in mitigating environmental impacts. Manufacturing corporations as well as their entire supply chain stakeholders are accountable for taking action and seeking innovative solutions towards sustainability. In this respect, consumers, as end-users of distribution networks, are no exception, especially in light of the emerging circular economy (CE) concept. Consumer empowerment has resulted in the emergence of a new demand chain management (DCM) system to replace the traditional supply chains. In this situation, there is uncertainty regarding the sustainable preferences of consumers and their willingness to pay premium prices. This is where the impact of sustainability on both new product development (NPD) and DCM becomes critical for further research. Several studies have been conducted to examine the relationship between DCM and NPD, as well as the influence of sustainability on both. However, the issue of how the three concepts interact has remained unsolved. This research initially conducts a systematic review of literature consisting of 75 resources to provide a profound review of previous academic efforts and examine the possible associations between the main three study concepts. A qualitative case study analysis of four manufacturing companies from various global locations provides the input data for this study. Through content analysis and categorisation of qualitative data into final themes, this study ultimately develops a conceptual research framework. The generated framework highlights the sustainability influences on DCM and NPD as promised by the main study aim. It comprises four stages, starting with preliminary planning for sustainability and its influence on demand-driven product development, which then continues with innovative manufacturing and environmental management. Some moderating variables within different stages modify the relationships between dependant and independent variables. The final dependent variable and the output of the framework is NPD success, brand image, reputation, and competitive advantage, which describe the key benefits of associating sustainability with DCM and NPD. This study used four qualitative case studies to shed some light on the implications of sustainability for demand-driven product development. However, to overcome the limited target population, future researchers may conduct surveys to obtain a larger statistical sample. Furthermore, a longitudinal study would be beneficial to ensure the long-term benefits of sustainability applications within DCM and NPD contexts