Technology Collaborative Innovation Research Articles

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.

Will technological innovation uncertainty affect the distribution of benefits from low‐carbon innovation activities in industrial clusters?—A study based on gray Shapley values

AbstractTechnological innovation of industrial cluster is an important measure to realize low‐carbon development. However, the uncertainty associated with new technologies can have a significant impact on the earnings of enterprises. This paper examines the benefit distribution of collaborative technological innovation in industrial clusters through the gray Shapley value, which makes up for the problem that existing research ignores the impact of the uncertainty of technological innovation on the distribution of benefits and provides a new research perspective. In addition, this paper also provides some countermeasures for the Chinese government to encourage enterprises in industrial clusters carry out low‐carbon innovation activities.

ENGLISH LEARNING PROGRAM FOR CHILDREN IN ORPHANAGE, MUARA ANGKE, NORTH JAKARTA


 To provide quality and equitable education (SDG4), starting from one small area in Jakarta, a community service English Program was held by the Sunda Kelapa Sector Police, North Jakarta and UPH lecturers to teach English to elementary school children at the Orphanage in Muara Angke, Tanjung Priok, North Jakarta. This program was assisted by tutors from students of the Faculty of Education, Pelita Harapan University, while the lecturers supervise the planning and teaching process. This activity aims to train children's communication skills using English. As an international language, English is chosen to be taught to children. Holistic and collaborative technological innovation is used to understand the social and cultural context. Storytelling, conversation, coloring, naming, pronunciation, roleplay, and gamification are used in the learning method. The results of the service show reading and writing skills, increased learning motivation, introduction to material that still needs to be improved, training tutors' teaching skills in guiding and knowing the material properly, and teaching equipment that needs to be improved. In addition, from the learning experience they had, they could learn and play at the same time, feel more confident, and be more active as they increase their sense of competition to achieve the learning goals.

Analysis of Public Technology Collaborative Innovation Based on Private Technology: A Tripartite Evolutionary Game Approach

Public technology collaborative innovation serves as an essential driving force to implement the innovation-driven strategy as well as promote national and regional economic sustainable development. Moreover, strengthening the construction of public technology collaborative innovation system is likewise of great significance for strengthening the quality and technology level of enterprises, enhancing their independent innovation capability, and achieving strategic transformation. Particularly, collaborative innovation of public technology in accordance with mature private technology enables the efficient allocation of technological and economic resources. In practice, there are still issues including high innovation costs, insufficient motivation, and low efficiency of innovation. Existing research typically ignores the technical cooperation among multiple parties. An evolutionary game model of public technology collaborative innovation is established in this paper to examine the interaction mechanism among the government, enterprises, and technology owners. For the purpose of analyzing the dynamic evolution of public technology collaborative innovation behavior and its influencing factors, numerical simulation experiments were conducted with meaningful results: (1) Setting the cost and benefit allocation coefficient in a scientific manner contributes to system stability and promotes cooperation among game players. (2) Reasonable government subsidies and penalties can assist in the formation of an active technological innovation between the firm and the technology owner. (3) The pricing method of private technology transfer is a significant factor influencing the evolution process. Besides, the adoption of a technology pricing method on the basis of government interests is conducive to the formation of a stable tripartite win-win situation. The research on collaborative innovation of public technology is further expanded in this paper, offering a reference for the formulation of relevant policies aimed at promoting cooperation in public technology innovation.

Radiotherapy delivery error detection with electronic portal imaging device (EPID)-based in vivo dosimetry.

Radiotherapy delivery error detection with electronic portal imaging device (EPID)-based in vivo dosimetry.

IMPACT OF INNOVATION ORGANIZATION NETWORK ON THE SYNERGY OF CROSS-ORGANIZATIONAL TECHNOLOGICAL INNOVATION: EVIDENCE FROM MEGAPROJECT PRACTICES IN CHINA

The construction industry has made an indispensable contribution to China’s environmental and economic development. With the advent of the volatile, uncertain, complex, and ambiguous (VUCA) era, cross-organizational collaboration has enabled megaproject participants to engage significantly in problem-solving and technological innovation. The impact of innovation organization network on the synergy of cross-organizational technological innovation (COTI synergy) in megaprojects is imperative for theoretical researchers and engineering practitioners. Therefore, this study aims to develop a hypothetical model of innovation organization network and COTI synergy, focusing on the mediating role of interorganizational relationships and the moderating effect of the technological innovation environment. The results of 211 questionnaires from the Chinese construction industry show that innovation organization network improves COTI synergy. Trust and communication play a vital mediating role between innovation organization network and COTI synergy. Moreover, innovative culture has a significant positive moderating effect on innovation organization network and interorganizational relationships. From the perspective of organization network, this study provides new insights into the development of technological innovation management research on megaprojects, theoretical references, and practical suggestions for project teams in developing countries to improve collaborative technological innovation efficiency.

Beijing-Hebei Intelligent Agricultural Science and Technology Collaborative Innovation System

In view of various problems emerged from operation mechanism of the Beijing-Hebei intelligent agricultural science and technology collaborative innovation, combined with the characteristics of product-education-research work, UML modeling technology was adopted to study the corresponding software system for Beijing-Hebei intelligent agricultural science and technology collaborative innovation. First of all, through analyzing the main target function of the system, the role and users of every participant, including universities, scientific research institutions, enterprises, towns and villages, governments and system administrators, were designed by use case diagram. Then, the data flow and interaction between each other was deeply analyzed and described by E-R diagram, , including 8 aspects: "user- role- authority" mechanism model, "product-education-research" collaboration model, experimental field and data collection model, scientific achievements and research team model, teaching feedback model, "project-technology-product" model, policy interpretation model, management model. Finally, the architecture diagram of the system was constructed, which provides the design basis for the software platform development.

Construction and Structural Analysis of Inter-Regional Industrial Circular Network: A Case of the Middle and Lower Reaches of the Yellow River in China

Imbalance, incoordination, and inter-regional economic segmentation of the middle and lower reaches of the Yellow River (MLYR) have brought challenges to high-quality development in the Yellow River basin. To solve the problem, from the perspective of optimization of inter-regional economic circulation, combining input-output technology and complex network model, we proposed a systematic framework for structural analysis of circular economy and applied it in analysis of economic circulation of the MLYR. Firstly, we defined the inter-regional industrial circular network (ICN) and proposed the construction method of the ICN. Secondly, we designed indicators such as network, cycle, and inter-regional circulation effects to measure the structural characteristics of industrial circular network. Thirdly, the models and indicators were applied to explore the structural factors, revealing how the economic circulation was hindered and imbalance of development happened in the MLYR. We found that the external inter-regional circulation of the provinces was more differentiated, and limitation of utilization of technological resources and inter-regional capital flow, and weak investment and consumption demand for emerging services inhabited the quantity and vitality of cycles, which resulted in the imbalance of regional development in the MLYR. The results provide a basis for the suggestion, such as collaborative scientific and technological innovation, building a unified and efficient financial market, and development of emerging industries. The model and method were verified in the case of the MLYR and have practical meaning in supporting policy-making on promoting high-quality development of China.

Data-driven Regional Defense Technology Collaborative Innovation Visualization Research of The Development Situation

Innovation-driven development strategy as China's national strategy, it is of strategic significance for China to form a new international competitive advantage and enhance the long-term driving force for development. This paper constructs an index system the for the evaluation of regional defense technology collaborative innovation , with eight innovation reform experimental area and cities and states as a research object, using big data technology and methods to collect index data online, and at the same time based on AHP level comprehensive evaluation and the "normalization" processing methods of network search heat value, to conduct an in-depth analysis of the development trend of national defense and national defense science and technology collaborative innovation in the region, and form a visual image display. Research results show that: in the process of coordinated development of regional defense science and technology, the pilot zone for innovation and reform in urban areas, including Beijing-Tianjin-Hebei, ChengDeMian and other aeras, are enjoying good momentum of collaborative innovation in defense science and technology. Chengdu, Mianyang and other urban defense science and technology collaborative innovation development trend is good, which provides data support for the regional defense science and technology collaborative innovation research and promote the in-depth development of defense science and technology collaborative innovation.

Collaborative innovation: a technological perspective

Collaborative innovation: a technological perspective

Knowledge Sharing Strategy and Emission Reduction Benefits of Low Carbon Technology Collaborative Innovation in the Green Supply Chain

Knowledge sharing (KS) in the green supply chain (GSC) is jointly determined by the KS efforts of suppliers and manufacturers. This study uses the differential game method to explore the dynamic strategy of KS and the benefits of emission reduction in the process of low carbon (LC) technology in the GSC. The optimal trajectory of the knowledge stock and emission reduction benefits of suppliers and manufacturers under different strategies are obtained. The validity of the model and the results are verified by numerical simulation analysis, and the sensitivity analysis of the main parameters in the case of collaborative sharing is carried out. The results show that in the case of centralized decision-making, the KS efforts of suppliers and manufacturers are the highest, and the knowledge stock and emission reduction benefits of GSC are also the best. The cost-sharing mechanism can realize the Pareto improvement of GSC’s knowledge stock and emission reduction benefits, but the cost-sharing mechanism can only increase the supplier’s KS effort level. In addition, this study found that the price of carbon trading and the rate of knowledge decay have a significant impact on KS. The study provides a theoretical basis for promoting KS in the GSC and LC technology innovation.

Collaborative Innovation Network, Knowledge Base, and Technological Innovation Performance-Thinking in Response to COVID-19

Amid the pandemic of COVID-19, the collaborative innovation network of enterprises is conducive to the sharing of innovation resources, knowledge transfer, and technology diffusion, which is closely related to the improvement of corporate technological innovation performance. Based on the patent application data of listed enterprises in Jiangsu, Zhejiang, and Shanghai in China, this study constructs a cooperation matrix, describes the characteristics of collaborative innovation network from two dimensions of network structure and network relationship, introduces the breadth of the knowledge base as a moderating variable, and analyzes the nexus between characteristics of a collaborative innovation network and technological innovation performance. Based on the panel data of 193 listed companies in Jiangsu, Zhejiang, and Shanghai, this study uses a multiple linear regression model for empirical analysis. The results show a U-shaped relationship between clustering coefficient and technological innovation performance. The breadth of knowledge base strengthens the positive relationship between the structural hole and technological innovation performance. In contrast, the breadth of knowledge base weakens the positive relationship between network relationships strength and technological innovation performance. The study findings will enhance enterprises’ participation in a suitable collaborative innovation according to their knowledge-based characteristics and improve the technological innovation performance.

The interaction of an urban heat island with a sea breeze front during moist convection over Tianjin, China

The interaction of an urban heat island with a sea breeze front during moist convection over <scp>Tianjin, China</scp>

Green Technology Collaboration Network Analysis of China’s Transportation Sector: A Patent-Based Analysis

The development of green transportation technologies in China has grown rapidly due to increasing concerns about climate change and environmental pollution. Collaboration innovations covering kinds of participating entities and various linked relationships have become one of the critical drivers for the transportation sector. Some researchers have analysed the collaborative innovation of scientific literature in this field. However, fewer studies have investigated the current performance of collaborative technology innovation represented by patents in the transportation sector. In this context, a research framework based on the social network analysis approach is proposed for collaboration green transportation technologies. The purpose of the research is to establish an analytical framework for the green transportation innovation network and seek the key collaboration activities and strategies. Subsequently, a collaborative innovation network based on the patent data of green transportation technologies was built and analysed. Especially, the innovation entities in the collaboration network are divided into four groups: business enterprises, individuals, universities, and research institutions, so that more detailed information in the network could be obtained. The results show that the proposed research framework based on patent data and social network analysis method helps examine the critical nodes and links in the network, as well as their types and characteristics of the collaboration network. The increasing number of green transportation technologies shows active cooperation in this field. The study also found that business enterprises node gradually plays a major role in cooperative innovation. The corresponding policy recommendations are also provided.

Research on Collaborative Innovation Platform of Internet of Things Industry Based on Data Mining Technology

The Internet era has entered a new historical development stage, and the technology and application of Internet of Things have become the new core of the future development of information society. Information technology has been integrated into every corner of production and life, and various information industries are constantly undergoing transformation, facing new opportunities and challenges. To enhance the technological innovation capability of China’s Internet of Things industry from the perspective of collaborative innovation, the key is to face the characteristics and needs of the Internet of Things industry and explore the interactive mode of process synergy and behavior synergy in technological collaborative innovation. There are more and more data generated in the process of human interaction with sensors, and more intelligent applications can be developed through deep data mining and analysis. This paper focuses on collaborative innovation of Internet of Things and smart service industry, and studies the combination mode of collaborative innovation of Internet of Things and smart service industry in China based on data mining technology, in order to provide valuable theoretical basis for the development of smart service industry and the improvement of collaborative innovation of Internet of Things in China.

A Cooperative Partner Selection Study of Military-Civilian Scientific and Technological Collaborative Innovation Based on Interval-Valued Intuitionistic Fuzzy Set

Military-civilian scientific and technological collaborative innovation (MCSTCI) is an important intersection of civil-military integrated development strategies and innovation-driven development strategies, and has become a brand-new model for Chinese key scientific and technological research. The selection of cooperative partner between military and civilian innovation entities is not only the primary segment to carry out MCSTCI activities, but also an important foundation for achieving complementary advantages and win-win cooperation. Therefore, on the basis of summarizing and combing the evaluation indicators, a partner selection model based on interval-valued intuitionistic fuzzy set multi-attribute decision-making is proposed. Firstly, we improve the traditional scoring function, and combine the new scoring function and entropy weight method to determine the weight of each evaluation indicator. Secondly, considering the impact of decision-makers’ risk attitudes, a method of transforming evaluation matrix based on hesitancy distribution is proposed. Finally, the grey correlation and TOPSIS (Technique for Order Preference by Similarity to an Ideal Solution) method is used to mark and rank the candidates, and the innovation entities with the highest score is selected as the collaborative innovation partner. An example of a military equipment manufacturing enterprise in Beijing for partner selection in order to carry out joint technological research on a certain anti-ship missile weapon shows that the model is more comprehensive and flexible in solving fuzzy multi-attribute decision-making problems, and can assess and select cooperative partners for MCSTCI scientifically and objectively.

Low-carbon technology collaborative innovation in industrial cluster with social exclusion: An evolutionary game theory perspective.

As governments implement low-carbon economy widely, boosting low-carbon transformation in industrial clusters has become a challenge. This study establishes an evolutionary game model of low-carbon technology collaborative innovation based on spatial public goods game to solve the free-riding problem effectively in research and development. By introducing a social exclusion mechanism, we explore the requirements for the emergence of cooperation between enterprises, and we consider the heterogeneity and scale-free characteristics of industrial clusters comprehensively. Simulation results confirm that social exclusion can significantly promote cooperation as a form of cooperation with additional cost. When exclusion cost decreases and probability increases, an excluder can survive in a lower enhancement factor, which guarantees a stable exclusion mechanism. Furthermore, this mechanism is key to forming and maintaining cooperative behavior. When a cluster follows a scale-free distribution, the sparse network structure can avoid cooperation collapse. Moreover, heterogeneous investment is a robust alternative in the face of invading defectors. This study provides a new understanding to promote the collaborative innovation of enterprises in industrial clusters.

Research on the Science and Technology Collaborative Innovation Demonstration Zone Evaluation Based on Data Envelopment Analysis

In recent years, studies on the Science and Technology Collaborative Innovation Demonstration Zone have increased notably. However, there were few works dedicated to the evaluation method, and our study was to fill in the blank. In this paper, the evaluation model based on Data Envelopment Analysis was built, 6 input and 4 output evaluation indexes were introduced, and a case analysis was conducted. The research result provides reference for objectively evaluating the construction effect of the Science and Technology Collaborative Innovation Demonstration Zone.

The Study of Evaluation Index of Growth Evaluation of Science and Technological Innovation Micro-Enterprises

Micro-enterprises are critical to the national economy in many countries, although they have many limitations. Therefore, governments have proposed many policies and programs to generate and enhance micro-enterprises’ growth to assure national economies’ growth and sustainability. This study evolves an index to evaluate growth in science and technological innovation among micro-enterprises that participated in collaborative innovation through a counselling program. The results not only define growth indicators through a literature review but also examine evidence of growth among 10 micro-enterprises through interviewing subjects located in various regions in Taiwan and related to different industries. This study uses multiple case study methods and data statistics to verify growth indicators; this reveals that micro-enterprises focusing on collaborative technological innovation demonstrated an increasing trend toward this study’s chosen growth indicators in a majority of cases. According to the survey results, nine indicators lead to positive growth. Finally, after establishing growth assessment indicators, the data collected from an empirical investigation proves the indicators’ credibility. The study then discusses the chosen cases’ experiences with growth and presents managerial implications.

Research on the Influencing Factors of Collaborative Innovation of Science and Technology in the Pearl River Delta Urban Agglomeration

This paper has measured the level of collaborative innovation of science and technology in the Pearl River Delta urban agglomeration from 2010 to 2018 by using the DEA-Malmquist index model. The empirical results show that the overall level of technological collaboration and innovation in the Pearl River Delta urban agglomeration is relatively high. The pure technical efficiency value of the Pearl River Delta urban agglomeration has hit its peak. In terms of its scale efficiency, that of Zhuhai and Jiangmen still has room for improvement, while that of other cities has reached the optimal level. Then, through the establishment of a panel data model of the Pearl River Delta urban agglomeration from 2009 to 2018, the influencing factors of technology collaborative innovation in the Pearl River Delta urban agglomeration was analyzed. Finally, this proposal was made.