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Cambodia's sustained and robust growth performance since the post-reform era in 1993 has been attributed to the boom in inward foreign direct investment (FDI) attracted to the country's labor-intensive industries, where it has comparative advantages. The purpose of this study is twofold. First, it aims to assess the consistency between Cambodia's revealed comparative advantage in exports and its sectoral inward FDI. Second, it examines the relationship between industry-level FDI and growth performance by accounting for heterogeneity across industries.

The paper uses descriptive methods and an industry-level dataset provided by the Council for the Development of Cambodia to elucidate the issue. Additionally, it applies instrumental variable two-stage least squares (IV-2SLS) regression to investigate the impact of industry-specific FDI on economic growth from 1994 to 2017, which also aims to address the endogeneity issue.

On the one hand, our research finds that Cambodia's FDI has been attracted to sectors in which it has a comparative advantage during the aforementioned period. On the other hand, both FDI and the comparative advantage index significantly impact economic growth in Cambodia. The greater the flow of foreign investment into sectors with comparative advantage, the stronger the impetus for growth.

This study fills a gap in the literature and contributes to a better understanding of the relationship between FDI and economic growth in Cambodia. It is the first paper to investigate the heterogeneity of industry-specific FDI and provides practical recommendations for policymakers to effectively harness foreign investments and avoid malign FDI inflows.

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.

Following the current guidelines for systematic reviews, three databases (Elsevier Scopus^®, Clarivate Web of Science^TM 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.

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.

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.

Along with the “reform and open door” policy launched in the late 1970s, China has experienced an annual average GDP growth rate of 9.8% between 1978 and 2002 (Hu, 2003, October 19). China's economy system has also gone through a fundamental transition from a central planning system to a socialist free market economy. To cope with the booming economy and radical social changes, the higher education system of China has been undergoing a process of expansion with marketization (World Bank, 1997).

The purpose of this paper is to quantify external and internal uncertainties in product design process. The research addresses the measure of product future changes.

Two methods are proposed to model and quantify uncertainty in the product life cycle. Changes of user preferences are considered as the external uncertainty. Changes stemming from dependencies between components are addressed as the internal uncertainty. Both methods use developed mechanisms to capture and treat changes of user preferences. An agent-based model is developed to simulate sociotechnical events in the product life cycle for the external uncertainty. An innovative application of Big Data Analytics (BDA) is proposed to evaluate the external and internal uncertainties in product design. The methods can identify the most affected product components under uncertainty.

The results show that the proposed method could identify product changes during its life cycle, particularly using the proposed BDA method.

It is essential for manufacturers in the competitive market to know their product changes under uncertainty. Proposed methods have potential to optimize design parameters in complex environments.

This research bridges the gap of literature in the accurate estimation of uncertainty. The research integrates the change prediction and change transferring, applies data management methods innovatively, and utilizes the proposed methods practically.