Collaborative Innovation Research Articles

Associations between nurse characteristics, institutional characteristics and perceived nurse knowledge and self-efficacy of reporting suspected child abuse and neglect.

To determine the association between nurse and institutional characteristics and perceived professional nurse knowledge and self-efficacy of reporting child abuse and neglect. A sample of N = 166 nurses were recruited to respond to the Reporting of Suspected Child Abuse and Neglect (RSCAN) survey. A multiple linear regression examined whether nurse characteristics and institutional characteristics were associated with the two RSCAN survey domain scores. Perceived knowledge of a workplace child abuse and neglect protocol was associated with the knowledge subscale. Education and child abuse and neglect expertise were significant predictors of the self-efficacy subscale. Nurses with a master's or higher degree and those who identified as being either forensic, paediatric or Emergency Department nurses, had less perceived institutional barriers to self-efficacy of reporting child abuse and neglect. This study provides a preliminary insight into the institutional barriers and facilitators of nurses as child abuse and neglect mandated reporters. To encourage innovative education and collaborations to support nurses as fully informed child abuse and neglect mandated reporters. This research identifies the gaps and facilitators of nurses as child abuse and neglect mandated reporters to inform healthcare professionals and academic institutions on the importance of nurse education and experience in nurse knowledge and self-efficacy in reporting suspected child abuse and neglect. The authors of this study have adhered to relevant EQUATOR guidelines: STROBE. There is no patient or public contribution as the study only looked at nurses.

Innovative Models of Cooperation between Business Administration Majors in Universities and Enterprises


 
 
 
 University business administration programs strive to provide students with the skills and knowledge needed to succeed in industry. However, traditional cooperation models between universities and enterprises often fail to offer cutting-edge practical engagement. Through semi-structured interviews with Shandong Province 32 university department heads and business managers along with surveys from 217 students and employees, this mixed methods study aimed to uncover potentially innovative models of collaboration that effectively equip graduates for the modern workplace.
 The key findings reveal 4 collaborative archetypes deemed innovative by over three-fourths of experts, including intensive capstones with partner companies, corporate co-creation of competency frameworks integrated into curricula, rotational cross-appointments of university and company talent, and consortium advisory boards that reciprocally inform program development. Enabling success factors include aligned values, communication structures that mitigate bureaucracy, networks for talent pipeline development, and flexibility in partnership formalization. Challenges center on initial partnership development, ensuring continuity, and measuring outcomes over time horizons longer than typical academic or business quarters. By identifying best practices within these innovative collaboration models, the study provides insight into improving partnerships’ equipping of next generation corporate and entrepreneurial business leaders.
 
 
 

Prioritizing Stakeholders in Collaborative Research and Innovation Projects Toward Sustainability

Stakeholder engagement in collaborative research and innovation projects poses significant challenges, particularly in complex, multistakeholder settings addressing sustainability concerns. This study proposes a novel method for stakeholder prioritization in such projects, combining the analytic network process (ANP) tool with the sustainability categories of the P5 standard for sustainability in project management. Its applicability and usefulness are demonstrated through a case study project, using the new stakeholder theory (NST) lens. The ANP-P5 method can assist project managers in effectively aligning stakeholder management with both sustainability and NST principles.

Has the digital transformation promoted energy-saving-biased technological progress in China’s manufacturing sector?

ABSTRACT In the context of ‘Digital China’ and the ‘Dual-Carbon’ targets, there is an escalating need for energy saving and pollution reduction in China’s manufacturing sector. By optimizing resource allocation, enhancing precision in energy consumption monitoring and fostering the integration of traditional production factors, digital elements are pivotal in steering the sector towards energy technology progress, thereby affecting overall energy usage and carbon emissions. This study leverages panel data from 2009 to 2020 to quantify the manufacturing sector’s digital transformation and its energy-saving technology progress bias. It also examines the catalytic role of digital transformation in fostering energy-saving technological progress. The findings reveal the following: (1) The trajectory of technological progress within China’s manufacturing sector has progressively improved and predominantly demonstrates an energy-saving bias. (2) Digital transformation has significantly catalysed energy-saving-biased technological progress across various manufacturing subsectors, this conclusion is still significantly credible after a series of robustness tests. (3) Heterogeneity analysis reveals that as the digital transformation progresses from collaborative innovation to comprehensive digitalization phases, it has dramatically optimized the energy-saving-biased technological progress in various industries, especially in pollution-intensive industries. These insights offer substantial implications for policy formulation and industrial evolution.

Sustainable development performance in the semiconductor industry: A data-driven practical guide to strategic roadmapping

Sustainable development performance (SDP) in the semiconductor industry, it is necessary to form a data-driven practical guide to strategic roadmapping by using a sustainable balanced scorecard (SBSC) because SDP perspectives have been addressed for several years and need to be further assessed through performance achievement. Additionally, the industry faces challenges in integrating technological innovation and stakeholder collaboration into the sustainable development (SD) perspectives. In light of these challenges, this study strives to develop an SBSC-based practical guide to strategic roadmapping utilizing the SD causal model under uncertainty. To attain this objective, this study employed a hybrid approach comprising content, bibliographic and cluster analyses, the entropy weight method (EWM), and the fuzzy Delphi method (FDM) are used to validate the data-driven SBSC measures. The fuzzy synthetic evaluation–decision-making trial and evaluation laboratory (FSE-DEMATEL) is used to develop the strategic roadmapping with interrelationships. The findings reveal that scientific and technological development, enhanced device performance, artificial intelligence, performance assessment and the Internet of Things are the main criteria that must be prioritized by decision makers for semiconductor SDP improvement. This study contributes to understanding the data-driven practical guide to strategic roadmapping for the semiconductor industry by using SDP data. Furthermore, by constructing a hierarchical framework and identifying prioritized key attributes that enhance SDP, this study makes a valuable contribution to the SD literature.

Digital enabled innovation ecosystems: a dual case study of knowledge flows in intellectual property platforms

PurposeThe embedding of digital technology and the fuzzy organizational boundary have changed the operation of platform innovation ecosystem (PIE). Specifically, as an important energy of PIE, the internal logic of knowledge flow needs to be reconsidered in the context of digital age, which will be helpful to select the cultivation and governance strategy of PIE.Design/methodology/approachA dual case-analysis is applied to open the “black box” of knowledge flow in the PIE from the perspective of enabled by digital technology, by taking the intellectual property (IP) operation platform as cases.FindingsThe research findings are as follow: (1) The knowledge flow mechanism of PIE is mainly demonstrated through the processes of knowledge acquisition, knowledge integration and knowledge spillover. During this process, connectivity empowerment and scenario empowerment realize the digital empowerment of the platform. (2) Connectivity empowerment provides a channel of knowledge acquisition for the digital connection between participants in PIE. In the process of knowledge integration, scenario empowerment improves the opportunities for accurate matching and collaborative innovation between knowledge supplier and demander, and enhance the value of knowledge. The dual effect of connectivity empowerment and scenario empowerment has accelerated the knowledge spillover in PIE. Particularly, connectivity empowerment expands the range of knowledge spillover, and scenario empowerment affects the generativity of the platform, resulting in the enhancement of platform’s capability to embed and expand its value network. (3) Participants have been benefitted from the PIE enabled by digital technology through three key modules (knowledge acquisition, knowledge integration and knowledge spillover), as the result of knowledge flow.Originality/valueThis study focuses on the knowledge flow mechanism of PIE enabled by digital technology, which enriches the PIE theory, and has enlightenments for the cultivation of digital platform ecosystem.

The Innovation of Gender Mainstreaming Implementation: A Study on Gender Festival at the Ministry of Environment and Forestry

Government agencies need to carry out public policy innovations to deal with changes that occur quickly and dynamically. The Ministry of Environment and Forestry (MoEF) developed an innovation called the Gender Festival as an effort to transform a "Gender Neutral" work environment into a "Nature Gender." This study, therefore, aims to evaluate the fulfillment of innovation aspects and the obstacles encountered in the Gender Festival by using the Australian Public Sector Innovation Indicators (APSII) theory. This qualitative-descriptive research collected data through interviews and documentation data. Data were then analyzed using Miles and Huberman's interactive analysis. The study findings demonstrated that the Gender Festival fulfilled 12 of the 15 aspects of innovation based on the APSII criteria. They comprise investment in innovation, human resources and skills innovation, staff attitudes and attributes for innovation, sources of innovation, technological infrastructure for innovation, diffusion of innovation, innovation culture and leadership, innovation strategy, activities and implementation, types of innovation, innovation novelty, and intangible outputs. On the other hand, the obstacle to implementing a Gender Festival was the limited number of human resources with sufficient capacity to understand gender in managing the workload, which is quite heavy; as a result, innovation collaboration, innovation management practices, and innovation intensity could not be implemented.

Quantity or Quality? The Impact of Multilevel Network Structural Holes on Firm Innovation

Embedding collaboration networks in the context of open innovation can facilitate firm innovation. Previous studies have not considered the impact of multilevel network structural embedding on firm innovation. In this study, organizational collaboration networks, knowledge networks, and urban collaboration networks are viewed as systems to explore their impact on innovation quantity and innovation quality. We validate the research hypotheses using data from Chinese high-tech firms in the field of artificial intelligence and intelligent manufacturing equipment. The results indicate that structural holes occupied by firms in organizational collaboration networks can increase the innovation quantity and have a U-shaped effect on innovation quality. Knowledge network structural holes and urban collaboration network structural holes moderate the relationship between organizational collaboration network structural holes and innovation quantity and quality. Our findings will help firms to efficiently utilize the advantages of multilevel network structural holes to improve the innovation quantity and innovation quality.

Biederman’s Contribution to the Understanding of Executive Function in ADHD

Objective: To examine the theoretical and empirical contribution of Joe Biederman and his colleagues to the understanding of executive function (EF) and ADHD. Method: We searched PubMed for references to EF in Biederman’s publications and conducted a narrative review of this literature. Results: In 50 or more papers using neuropsychological tests, rating scales and measures of mind wandering, Biederman demonstrated that EF are evident in ADHD and closely linked to its underlying neurobiological and genetic risk. He argued that EF need to be monitoring to ensure comprehensive assessment and treatment, but could not be used as a diagnostic proxy. Conclusion: Biederman built an innovative and impressive collaboration to address the issue of EF in ADHD. His work shows a commitment to understanding of EF in order to improve patient care. Biederman laid down a roadmap for research in ADHD and EF for the rest of the field to follow.

Exploring Innovation Ecosystem with Multi-Layered Heterogeneous Networks of Global 5G Communication Technology

This study explores the dynamics of emerging technology innovation ecosystems, viewing them as complex systems comprising social actors and knowledge artifacts engaged in innovation interactions. Employing a multilayer network perspective, we present a Social-Knowledge-Science-Technology (A-K-S-T) framework, examining both homogeneous and heterogeneous interactions among innovators and knowledge elements. Within this framework, we map out the technological landscape, identify ecological niches for specific actors and knowledge elements, and gauge knowledge proximity among innovators, revealing opportunities for collaboration and knowledge innovation. Using 5G technology as an illustrative example, key findings include the potential for innovation development in 5G, the need for enhanced collaboration among organizations in related technological fields, and the complementary nature of scientific and technological knowledge. This research contributes to innovation ecosystem literature, offering insights for management, governance, efficiency, and shared prosperity; meanwhile, it is a valuable reference for decision-makers to shape effective strategies.

Face Forgery Detection with Long-Range Noise Features and Multilevel Frequency-Aware Clues

The widespread dissemination of high-fidelity fake faces created by face forgery techniques has caused serious trust concerns and ethical issues in modern society. Consequently, face forgery detection has emerged as a prominent topic of research to prevent technology abuse. Although, most existing face forgery detectors demonstrate success when evaluating high-quality faces under intra-dataset scenarios, they often overfit manipulation-specific artifacts and lack robustness to postprocessing operations. In this work, we design an innovative dual-branch collaboration framework that leverages the strengths of the transformer and CNN to thoroughly dig into the multimodal forgery artifacts from both a global and local perspective. Specifically, a novel adaptive noise trace enhancement module (ANTEM) is proposed to remove high-level face content while amplifying more generalized forgery artifacts in the noise domain. Then, the transformer-based branch can track long-range noise features. Meanwhile, considering that subtle forgery artifacts could be described in the frequency domain even in a compression scenario, a multilevel frequency-aware module (MFAM) is developed and further applied to the CNN-based branch to extract complementary frequency-aware clues. Besides, we incorporate a collaboration strategy involving cross-entropy loss and single center loss to enhance the learning of more generalized representations by optimizing the fusion features of the dual branch. Extensive experiments on various benchmark datasets substantiate the superior generalization and robustness of our framework when compared to the competing approaches.

Design-Driven Innovation in Urban Context—Exploring the Sustainable Development of City Design Weeks

As the imperative of sustainable development of cities has gained heightened attention within the global creative and cultural industries in the last decade, among all the relevant trials and practices, city design weeks are becoming a notable method offering diverse possibilities for the innovative approaches the cities could apply to their development. Therefore, the objective of the research is to understand how city design weeks facilitate urban sustainable development and how design-driven innovation is implemented in such a context. Employing a qualitative methodology, the study conducts a case study across 30 global design weeks, selected through a cross-validated process with the World Design Weeks global network and UNESCO City of Design network. Grounded in the design-driven innovation perspective, valid data from 2017 to 2022 is gathered in response to the United Nations Sustainable Development Goals (SDGs) primarily through extensive interviews, official project reports, and media communication materials. The data are further cross-analysed by adapting the Creative Cities Index into 10 indicators suitable for the context of design weeks. Among the research findings, three types of design-driven models emerge for the innovation practice of city design weeks: metropolitan integrative transformation and innovation, inclusive cultural diversity communion and innovation, and cluster incorporation and collaborative innovation. In this way, the study provides both the practical significance in terms of supporting the design week organisation by implementing suitable approaches to drive the city’s sustainable development and the theoretical significance in extending the possible adaptation of a design-driven innovation model for the urban development context. Furthermore, the limitation of this qualitative study opens avenues for future quantitative impact analyses on individual design weeks, providing applicable evaluation methods to iteratively inspect and refine the models over time, which complement the limitations of the current qualitative research.

Government subsidy design: knowledge transfer in R&D networks considering risk attitudes and reputation effects

The design of government subsidies is essential in supporting collaborative innovation and promoting sustainable development in R&D networks. This study explores the influence of different government subsidy strategies designed for R&D networks on inter-enterprise knowledge transfer. Drawing upon evolutionary game theory, it examines how impact is contingent upon enterprises' risk attitudes and reputation effects. The results indicate that when enterprises exhibit homogeneous risk attitudes, government subsidy policies encouraging risk-seeking behaviors can effectively enhance the knowledge-transferring level. When enterprises possess heterogeneous risk attitudes, a greater diversity of risk attitudes leads to a more conducive environment for knowledge transfer. Incorporating a rigorous reputation tolerance into the design of government subsidies in R&D networks can effectively elevate knowledge transfer. Therefore, policymakers can design tailored government subsidies and incentive mechanisms grounded in enterprises' risk attitudes and reputation effects. This study provides theoretical and policy implications for designing government subsidies and collaboration in R&D networks.

Study on the evolution of collaborative innovation in marine economy considering the participation of financial institutions and two types of cooperation

In the realm of significant technological research and innovation within the marine economy, enterprises and academic research institutions often grapple with a lack of innovation motivation due to financial constraints. This paper introduces the factor of "capital constraints" into the marine innovation chain, establishing a technological innovation chain within the marine economy. Utilizing a three-party evolutionary game model, the study delves into the strategy selection and evolution of financial institutions, marine enterprises, and academic research institutions. In contrast to previous studies, this paper categorizes technological innovation cooperation into two types: "cooperative tackling type" and "market-oriented promotion type." Additionally, it posits that collaboration between academic research institutions and marine enterprises establishes an implicit guarantee relationship, facilitating access to higher loan amounts for both parties. The research reveals that the behavior of governments and marine enterprises is influenced by the initial willingness of participants. Higher basic benefits of cooperation and innovation between academic research institutions and marine enterprises lead to a quicker attainment of an evolutionary stable state. Moreover, in collaborations between marine enterprises and research institutions, an excessively high proportion of funds occupied by marine enterprises proves disadvantageous. The paper suggests that pure market-oriented promotion innovation cooperation could serve as a supplementary approach to traditional cooperation and innovation. Finally, numerical examples are presented to elucidate the outcomes of the theoretical model, accompanied by policy suggestions.

Pluripotency of a founding field: rebranding developmental biology.

The field of developmental biology has declined in prominence in recent decades, with off-shoots from the field becoming more fashionable and highly funded. This has created inequity in discovery and opportunity, partly due to the perception that the field is antiquated or not cutting edge. A 'think tank' of scientists from multiple developmental biology-related disciplines came together to define specific challenges in the field that may have inhibited innovation, and to provide tangible solutions to some of the issues facing developmental biology. The community suggestions include a call to the community to help 'rebrand' the field, alongside proposals for additional funding apparatuses, frameworks for interdisciplinary innovative collaborations, pedagogical access, improved science communication, increased diversity and inclusion, and equity of resources to provide maximal impact to the community.

Parameters collaborative optimization design and innovation verification approach for fuel cell distributed drive electric tractor

Fuel cell distributed drive electric tractors (FCDET) are one of the necessary means to achieve truly green agriculture. However, low traction efficiency, poor control coordination, and excessive energy consumption are the main reasons hindering the industrialization of FCDET. This paper proposed a parametric collaborative optimization design method and innovative verification system that considers the drive system and energy system. Based on the tractor plowing operating conditions, a 7-DOF coupled dynamics model of the distributed drive system and a tire-soil interaction model were established, and the key component selection and parameter matching were completed. On the drive system optimization level, the front and rear wheelside transmission ratios are optimized based on a multi-island genetic algorithm (MIGA). On the energy system optimization level, the globally optimal power distribution ratio is found based on the dynamic programming algorithm (DP). A complete experimental prototype verification system is constructed based on the MATLAB/Simulink-NI PXI joint simulation platform, physical prototype test bench, and real vehicle multi-index test platform. The results show that the average efficiencies of the optimized drive and energy system are increased by 0.38 % and 3.82 %, the total energy consumption (total hydrogen consumption) is reduced by 25.40 % and 15.39 %, respectively. The maximum fault-free operating time is 5.5h, the average traction power is 21.07 kW, and the average traction force is 10610 N in the all-wheel drive mode. The experimental results fully demonstrate that the electric tractor with the fuel cell distributed drive system as the core can meet the verification of multiple indicators. This study can provide a new theoretical basis and technical verification method for the optimal design and system control of fuel cell distributed drive electric tractors.

The use of citizen information in criminal investigation through a collaborative technological innovation process to counteract theft from persons in Bogotá

Theft from persons is one of the highest impact crimes in Bogotá, with a national share of approximately 38 %. This crime brought to the attention of the authorities is referred to by academics as recorded or reported crime and is used by the police for different purposes, particularly for criminal investigation, but with inefficient results in the identification of perpetrators. Therefore, the type of research is qualitative and has the objective of linking the citizen through a process of collaborative technological innovation, with the purpose of collecting, processing and analysing reported or non-reported information (hidden crime) in a timely, anonymous and efficient manner with disruptive technologies prioritised for the project. The methodology used begins with the discovery stage by identifying key actors and building user stories. Then, in the understanding stage, the value proposition is put forth by means of a hypothesis that is validated in a process of experimentation, and finally, in the build stage, a technology watch analysis is carried out and the proposal for the collaborative system between the citizen and the police with a technological approach is put forward. The results are based on the identification and prioritisation of five technologies, two actors, three variables and application of six low and medium fidelity prototypes, as well as the acceptance of citizens in collecting and sharing timely information at 87 %; that information focuses on video, audio, photos and localisation at 55 %. On the other hand, with the entry into operation of the collaborative system, the researchers indicate that it would optimise investigation by 50 % through the timely identification of the perpetrators. As for the conclusion, the information analysed and obtained from the results allows to reach, in a first phase, validation of the established hypothesis, but at the same time recognising the importance of including methodologies such as System Dynamics that allow for the systemic analysis of the information established by other actors and its impact on the proposed collaborative system.

Collaborative Innovation Factor Analysis Based on Grounded Theory - A Case Study of the New Energy Vehicle Industry

The new energy vehicle industry is one of the emerging strategic industries, and innovation is crucial for the survival and healthy development of new energy vehicle enterprises. Currently, factors such as internal enterprise innovation, collaboration between upstream and downstream companies, government support, environmental regulations, and changes in market demand affect the collaborative innovation in the new energy vehicle industry. This article, based on grounded theory, aims to clarify the elements and interrelationships of collaborative innovation in the new energy vehicle industry and construct a collaborative innovation mechanism model. Using the three-stage coding of grounded theory, four main categories are identified: enterprise innovation and management, competition and cooperation in the industry chain, knowledge creation and technology sharing, and external environment. These four main categories constitute the foundation, key, core, and support of collaborative innovation in the new energy vehicle industry. The interactions between and within the main categories are analyzed, elucidating the innovation process of "communication-coordination-cooperation-collaboration" and the mechanism of transitioning from disorder to order in collaborative innovation in the new energy vehicle industry.

Enhancing international collaboration in science, technology, and innovation to achieve sustainable development goals

Abstract This paper develops a framework for policymakers supporting sustainable development through international collaboration in science, technology, and innovation (STI). The approach can be applied to derive the national policy strategy for international collaboration in STI. The contribution focuses on the case of Germany in the field of food and agriculture. Accordingly, considering Germany’s current strategic approach for international collaboration in STI, an evidence-based tool for priority setting in the selection of potential partners and technology fields is developed and implemented. More specifically, the approach assesses the opportunity environment for international STI collaboration of Germany with potential partners using patent and economic indicators to capture technological capabilities, technological demand, economic relevance of food, and agriculture in national economies as well as technological and export specialization in food and agriculture. The results present policy strategies enhancing sustainable development.

Regional innovation ecosystem and local firms’ outward foreign direct investment: an empirical study based on symbiosis perspective

ABSTRACT ‘Ecological symbiosis’ depicts the phenomena of dynamics, interconnection and coevolution of participants within an ecosystem. The concept has been widely applied in recent years to describe the theory framework of ‘Regional Innovation Ecosystem’ (RIE). This study has two goals. The first is to clarify the formation of ‘Regional Innovation Ecosystem’ (RIE) from an ‘ecological symbiosis’ perspective. The second is to explore the impact of RIE on ‘Outward Foreign Direct Investment’ (OFDI) in emerging economies. We construct an evaluation system for RIE based on a dataset of Chinese cities from 2009 to 2019 and calculate the symbiosis index of RIE using the entropy method. Our finds identify the determinants in the formation of RIE and depict the spatial heterogeneity characteristics of Chinese RIEs. Empirical evidence indicates that RIE symbiosis significantly promotes OFDI by local firms, especially technology-seeking OFDI. Implications of innovation policy and strategic management are discussed, such as high-tech zone construction, technological innovation atmosphere, government-industry-university collaborative innovation strategy and strategic overseas investment layout.