Abstract
Manufacturing industry, as the mainstay of China’s social and economic development, plays an important role in improving China’s comprehensive strength. However, with the development of economic globalization, the disappearance of demographic dividend, and the prominent problem of resource constraints, the manufacturing industry urgently needs to transform to cope with the development dilemma. ‘Made in China 2025’ plan has taken service-oriented manufacturing as one of the future development directions of Chinese manufacturing enterprises. At the same time, with the development of a new generation of information and communication technology, intelligent manufacturing has become the commanding heights of manufacturing development, and to seize this commanding heights, quality management and service innovation are important driving forces. Therefore, this paper believes that manufacturing enterprises can use quality management to promote service innovation, thus promoting industrial structure adjustment and upgrading, creating new competitive advantages, and achieving the goal of manufacturing power.
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References
Zhou F, Gu X, Han H, He J (2021) Quality management practice, absorptive capacity and innovation performance—based on the perspective of intelligent manufacturing of ship enterprises. Sci Technol Prog Policy 38(07):67–75
Liu Y, Gao J, Wang H (2017) An empirical study on the impact of service-oriented staff management on service expansion and operational performance. J Syst Manage 26(02):346–355
Xu J, Fu J (2018) The made in China 2025 perspective: the impact of manufacturing enterprises’ customer orientation on service innovation performance. Forum Sci Technol China (02):62–70
Iriarte I, Hoveskog M, Justel D, Val E, Halila F (2018) Service design visualization tools for supporting servitization in a machine tool manufacturer. Ind Mark Manage 71
Grubic T (2018) Remote monitoring technology and servitization: exploring the relationship. Comput Ind 100
Yang X (2019) Research on the impact mechanism of quality management practices on the service performance of manufacturing enterprises. Tianjin University
Dong H, Xia M (2020) New ideas for overcoming the “servitization paradox” of manufacturing enterprises driven by big data—based on the perspective of organizational agility. Econ Forum (07):47–58
Nair A (2006) Meta-analysis of the relationship between quality management practices and firm performance—implications for quality management theory development. J Oper Manage 24(6)
Wei L, Chen H (2019) The influence of technological innovation ability and servicing degree on the servicing performance of high-tech manufacturing enterprises: an empirical test from data from five major industries. Sci Technol Prog Countermeasures 36(13):97–104
Li X (2020) The promotion of enterprise total quality management in the era of intelligent manufacturing. China Ind Inf Technol (05):28–33
Gupta AK, Smith KG, Shalley CE (2006) The interplay between exploration and exploitation. Acad Manage J 49(4)
Chen K, Wang Z (2010) Research on the correlation between service innovation, service quality and customer satisfaction. Sci Technol Manage Res 30(S1):249–256+310
Xin B, Dai J (2021) Employee cross-border behavior, knowledge sharing and manufacturing enterprise service innovation: based on the moderating effect of knowledge base. Econ Manage Rev 37(04):85–96
He Z, Liu X, Han Y, Zhang M (2009) Research on the relationship between enterprise management innovation and six sigma management. J Tianjin Normal Univ (Soc Sci Ed) (05):28–32
Xiao T, Liu H, Ye P (2014) Research on the influencing factors of service innovation in manufacturing enterprises. Chin J Manage 11(04):591–598
Hennig-Thurau T, Gwinner KP, Gremler DD (2004) Under-standing relationship marketing outcomes. J Serv Res 4(3)
Xiao G, Chen S (2016) Research on the transformation and upgrading of manufacturing enterprises from the perspective of cross-border service innovation. Market Modernization (23):114–115
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© 2023 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
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Weng, J. (2023). Study of Quality Management Practice Through Enterprise Service Innovation in the Era of Intelligent Manufacturing. In: Wang, T., Patnaik, S., Ho Jack, W.C., Rocha Varela, M.L. (eds) Applications of Decision Science in Management. ICDSM 2022. Smart Innovation, Systems and Technologies, vol 260. Springer, Singapore. https://doi.org/10.1007/978-981-19-2768-3_35
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DOI: https://doi.org/10.1007/978-981-19-2768-3_35
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