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Article
Publication date: 25 November 2024

Gang Liu, Wannan Wang, Yunlong Duan, Tachia Chin and Francesco Mirone

Digital technologies have transformed business management practices and adapted them to shorter product lifecycles. As a result, firms are shifting their approach to building new…

Abstract

Purpose

Digital technologies have transformed business management practices and adapted them to shorter product lifecycles. As a result, firms are shifting their approach to building new competitive advantage from cost-oriented to entrepreneurial orientation (EO). This study aims to analyze the innovation performance (IP) in the context of EO from a knowledge management perspective. It constructs the functional path of the relationships among EO, knowledge coupling (KC) and IP of Chinese manufacturing firms to achieve business success.

Design/methodology/approach

Using data from 157 listed Chinese manufacturing firms from 2012 to 2021, the authors construct a panel data model to test the effect of EO on IP. This study classifies KC into existing knowledge coupling (EKC) and new and existing knowledge coupling (NKC) and analyzes their mediating effects in the above relationships.

Findings

This study finds that EO has an insignificant, inverted U-shaped relationship with IP. Both EKC and NKC have a significant, inverted U-shaped relationship with IP; in other words, if EKC and NKC increase, the IP of Chinese manufacturing firms first increases and then decreases, and EKC and NKC have a complete mediating effect on the relationship between EO and IP.

Originality/value

This study provides an in-depth analysis of IP from an EO perspective. The study’s findings enrich and extend the theoretical relationship between EO and IP. The authors also propose a knowledge management perspective for entrepreneurship research. These findings improve the current understanding of the role and function of KC in EO.

Details

Journal of Knowledge Management, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1367-3270

Keywords

Open Access
Article
Publication date: 24 September 2024

Danilo Calderone, Giuseppe Cesarelli, Carlo Ricciardi, Francesco Amato and Fabrizio Clemente

This paper aims to present a systematic review of the latest scientific literature, in the context of pediatric orthopedics, on the development by additive manufacturing of…

Abstract

Purpose

This paper aims to present a systematic review of the latest scientific literature, in the context of pediatric orthopedics, on the development by additive manufacturing of anatomical models, orthoses, surgical guides and prostheses and their clinical applications.

Design/methodology/approach

Following the current guidelines for systematic reviews, three databases (Elsevier Scopus®, Clarivate Web of ScienceTM and USA National Library of Medicine PubMed®) were screened using a representative query to find pertinent documents within the timeframe 2016–2023. Among the information, collected across the reviewed documents, the work focused on the 3D printing workflow involving acquisition, elaboration and fabrication stages.

Findings

Following the inclusion and exclusion criteria, the authors found 20 studies that fitted the defined criteria. The reviewed studies mostly highlighted the positive impact of additive manufacturing in pediatric orthopedic surgery, particularly in orthotic applications where lightweight, ventilated and cost-effective 3D-printed devices demonstrate efficacy comparable to traditional methods, but also underlined the limitations such as printing errors and high printing times. Among the reviewed studies, material extrusion was the most chosen 3D printing technology to manufacture the typical device, particularly with acrylonitrile butadiene styrene.

Originality/value

To the best of the authors’ knowledge, this is the first systematic review which annotates, from a more engineering point of view, the latest literature on the admittance of the clinical application of additive manufacturing (and its effects) within typical pediatric orthopedic treatments workflows.

Details

Rapid Prototyping Journal, vol. 30 no. 11
Type: Research Article
ISSN: 1355-2546

Keywords

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