Manufacturing practices and servitization: The role of mass customization and product innovation capabilities

Qi, Yinan; Mao, Zhigang; Zhang, Min; Guo, Haiyan

doi:10.1016/j.ijpe.2020.107747

Cited by 99 publications

(75 citation statements)

References 52 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…However, in the fierce market competition, manufacturers are increasingly turning from product-based to service-based for gaining competitive advantages, which refers to servitization (Garcia et al , 2019; Neely, 2008; Yan et al , 2020). Servitization is a significant channel to create value for customers, as the “benefit package” containing product and service can better meet the customer's need than pure product (Qi et al , 2020; Wang et al , 2018). Given that an enterprise will provide customized products and services simultaneously to distinguish themselves from competitors, we consider both product-oriented MCC and service-oriented MCC.…”

Section: Introductionmentioning

confidence: 99%

Operational coordination and mass customization capability: the double-edged sword effect of customer need diversity

Sheng

Feng

Chen

et al. 2021

IJLM

View full text Add to dashboard Cite

PurposeThis study aims to explore how operational coordination affects mass customization capability (MCC) via organizational agility, the double-edged sword effect of customer need diversity and the moderating effect of competitive intensity based on dynamic capabilities perspective.Design/methodology/approachThis study examines the research hypotheses using hierarchical regression analysis by collecting data from 277 Chinese firms.FindingsThe results reveal that organizational agility partially mediates the impacts of operational coordination on product-oriented and service-oriented MCC. Customer need diversity is positively related to operational coordination, whereas negatively moderates the relationship between operational coordination and organizational agility. Moreover, competitive intensity negatively moderates the relationship between organizational agility and service-oriented MCC.Research limitations/implicationsThis study mainly used perceptual scales to measure organizational agility. There is a need to measure agility through Agility Index which consists of features' combination that enables agility.Practical implicationsManagers would thus do well to integrate business activities with supply chain partners and strive to foster an agile organization. Additionally, managers should take the leadership to assess the customer need and invest time and resources to respond to it when needed even though the response may be difficult.Originality/valueAlthough the importance of MCC in meeting personalized customer needs has been recognized, whether and how customer need diversity affects MCC remains unclear. This study provides a framework to study the relationships between customer need diversity and MCC, which deepens our understanding of how to enhance MCC to respond to diverse customer needs.

show abstract

Section: Introductionmentioning

confidence: 99%

Operational coordination and mass customization capability: the double-edged sword effect of customer need diversity

Sheng

Feng

Chen

et al. 2021

IJLM

View full text Add to dashboard Cite

show abstract

“…MC must be realized by the Internet, and the operation modes of Internet-based MC are as follows [23][24][25]:…”

Section: A Overview Of MCmentioning

confidence: 99%

Mass Customization-Oriented Customer Demand Response Service Platform Based on Cloud Computing and Internet of Things

Hong-yi

Fan

2022

IEEE Access

View full text Add to dashboard Cite

The purpose is to establish Mass Customization (MC)-oriented Customer Demand Response (CDR) service platform based on Cloud Computing (CC) and the Internet of Things (IoT). Firstly, the MCoriented Demand Response (DR) process and the characteristics of CC are analyzed. Secondly, an MCoriented CDR service platform system based on CC and IoT is proposed. Finally, the edge-cloud collaborative computing method is used to maintain the efficiency and stability of the CC platform, and the proposed method is compared with other state-of-art algorithms to further prove its effectiveness. The results show that the parameters φ and V have a significant impact on the queue size and operation cost. Compared with other methods, the operation cost of the proposed edge-cloud collaborative computing method is relatively low. Thus, the proposed edge-cloud collaborative computing method is more applicable in high-speed and low-speed data; it can also improve the resource utilization of the Data Center (DC) and reduce the operation cost. The research results provide a basis for the establishment of the MCoriented CDR service platform.

show abstract

“…Market diversification can be done with quality-based differentiation., diversify marketing channels, and target existing local and dominant markets (Vergamini et al 2019). Furthermore, product development efforts can be carried out by developing new product innovations and involving active consumer participation (Markovic et al 2020) (Qi et al 2020).…”

Section: Factors Contributing To the Development Of The Agro-industrymentioning

confidence: 99%

Business Model Development of a Fresh Milk Agro-Industry in Rural Areas

Sangadah¹,

Machfud²,

Anggraeni³

2021

jma

View full text Add to dashboard Cite

This research aims to identify several business models of fresh milk agro-industry that are emerging in rural areas, as well as factors that influence agro-industry development, and establish a dairy agro-industry business model framework. The case study method used in this research consists of an agro-industry with business models and cooperatives. According to the finding of this research, there are seven supporting factors that influence the growth of the fresh milk agro-industry in rural areas, that are; (1) organizational structure, (2) fresh milk handling operations, (3) technology application for production activities, ( 4) training of employees and breeders, (5) product marketing strategies, (6) product quality and quality assurance, (7) company actor's innovation. These seven factors can be determined using the weight ratio to assess the value of each factor that influences the development of the fresh milk agro-industry in rural areas, namely business management (0.2641), raw material handling (0.1510), and quality assurance (0.1347). The importance of the decision is a crucial factor in the development of the dairy agro-industry in rural areas. In rural areas, the fresh milk agro-industry business model is a cooperative form of business, as well as a business model that incorporates both private and cooperative business practices. The more varied the business models examined, the stronger the fresh milk agro-industrial business model system would be. Since they help small-scale milk farmers in rural areas market their products, regional milk cooperatives are still the best business model to use.

show abstract

Manufacturing practices and servitization: The role of mass customization and product innovation capabilities

Cited by 99 publications

References 52 publications

Operational coordination and mass customization capability: the double-edged sword effect of customer need diversity

Operational coordination and mass customization capability: the double-edged sword effect of customer need diversity

Mass Customization-Oriented Customer Demand Response Service Platform Based on Cloud Computing and Internet of Things

Business Model Development of a Fresh Milk Agro-Industry in Rural Areas

Contact Info

Product

Resources

About