Study on the Mathematical Model of Technology Diffusion in Technical Economic System

In the technical and economic system,there is a certain interaction between various technologies,mainly in the form of technology diffusion.By constructing the mathematical model of technology diffusion,the trend of technology diffusion can be predicted,the reasonable distribution of science and technology productivity can be realized,and the policy optimization measures can be formulated on the basis of evaluating the existing policies.This paper first points out the basic idea of digital model of technology diffusion,and then focuses on the analysis of various parameters of mathematical model of technology diffusion,and puts forward the application conclusion of mathematical model of technology diffusion,in order to provide reference for relevant industry personnel.

Open Innovation and New Mechanism of Market-Based Technology Diffusion from MNCs

The international community has blamed developing countries for the lack of intellectual property rights(IPR)protection-not least the“forced technology transfers”-in attracting foreign direct investment(FDI).This paper employs the largesample contract data of multinational companies’(MNCs)IT R&D transactions in China to discuss this controversy from a unique perspective of MNCs in the role of contractors.Our findings suggest that MNCs initially guarded their know-how before the 2000s under closed innovation,but have started to take the initiative to transfer technology to local partners as open innovation held sway.China’s structured market entities and huge demand for technology transactions have served as key drivers for MNCs to transfer technology,which has been further boosted by the new business model of open innovation.This paper’s empirical analysis not only helps unravel the“black box”of technology transfers by MNCs,but reveals how late-moving developing countries may make better use of FDI referencing China’s experience on the three dimensions of market opportunities,structured entities,and economies of scale.

The Application of Ecological Elements of Digital Technology in Construction Industry

The application of digital technology in the field of construction is still in its infancy, and the existing concrete framework of digital technology application in the construction industry and the study of applied ecological elements are not enough. The ecological elements of digital technology application in the construction industry are important factors that promote the healthy operation of the entire digital technology application ecosystem. Using grounded theory, we compiled the data of 33 researchers who participated in semi-structured interviews, and obtained 4 main categories and 9 sub-categories of ecological elements of digital technology application in the construction industry. Among them, the digital technology application mechanism is the core category of ecological application elements. We also used the Bass model to analyze the application trend of digital technology in the construction industry. In 2040, the number of construction companies applying digital technology will reach 98.66% of the maximum market potential.

Technology diffusion and population migration reflected in blade technologies in northern China in the Late Pleistocene

In recent years, the origin and evolution of modern human behaviors have become a common topic of research in Paleolithic archaeology. One important part of modern human behavior, blade technology, was once thought to be unique to modern humans. Recent studies have suggested that variations in blade technology do not fully correspond to modern populations. However, the standardization, diversity, discontinuity in terms of time distribution, and differences in spatial distribution of blade technology give it an important role in discussions of modes of adaptation, diffusion of technology, and population migration of hominins. By categorizing the major blade assemblages in China, we show that there were two blade reduction methods in northern China: the Levallois method and the prismatic method. Dating back 40000–30000 years, the Levallois and prismatic blade method combined to form the characteristics of the early stage of the Upper Paleolithic. Artifacts bearing such characteristics are located in Northwest China, Northeast China, and the Qinghai-Tibet Plateau. The unearthed blades are similar in technological organization and are connected geographically with those discovered in Siberia and Mongolia, which also indicates a distinct border from those discovered in northern China. This fact is suggestive of population immigration. About 29000–25000 years ago, a combination of prismatic blades and microblades was developed in the hinterland of China; however whether it can be regarded as the representative of population migration or only a technological adaption remains undetermined. We suggest that the system of production of different blades should be distinguished in the study of blade assemblages and that different blade methods should not be integrated into a single technical system to discuss technology diffusion and population dispersal.

Identification of digital technologies and digitalisation trends in the mining industry

Digitalisation in mining refers to the use of computerised or digital devices or systems and digitised data that are to reduce costs,improve business productivity,and transform mining practices.However,it remains increasingly difficult for mining companies to decide which digital technologies are most relevant to their needs and individual mines.This paper provides an overview of digital technologies currently relevant to mining companies as presented and discussed by mining journals,the media and insight reports of leading consultancy agencies.Relevant technologies were systematically identified using text-mining techniques,and network analyses established the relations between significant technologies.Results demonstrated that currently 107 different digital technologies are pursued in the mining sector.Also,an analysis of the actual implementation of digital technologies in 158 active surface and underground mines reveals a limited uptake of digital technologies in general and that the uptake increases with the run-of-mine production.Large-scale mining operations appear to select and apply digital technologies suitable to their needs,whereas operations with lower production rates do not implement the currently available digital technologies to the same extent.These minor producers may require other digital transformation solutions tailored to their capabilities and needs and applicable to their scale of operations.

Literature review on renewable energy development and China’s roadmap

The low carbon energy transition has attracted worldwide attention to mitigate climate change.Renewable energy(RE)is the key to this transition,with significant developments to date,especially in China.This study systematically reviews the literature on RE development to identify a general context from many studies.The goal is to clarify key questions related to RE development from the current academic community.We first identify the forces driving RE development.Thereafter,we analyze methods for modeling RE developments considering the systematic and multiple complexity characteristics of RE.The study concludes with insights into the target selection and RE development roadmap in China.

Optimal advertising duration for profit maximization

The current research elucidates the advertising scheme of automotive innovation by incorporating the various stages of the product life cycle.The study proposes an empirical model for the automotive industry to evaluate a time-point known as a switch-point or a take-off point at which firms should modify the advertising and sales promotion strategies to boost sales volume.The problem applies a time-series innovation diffusion model wherein adoption rate changes when a product enters a growth stage and then again when the company stops the advertising campaign in the maturity stage.The present paper develops a profit maximization problem,which optimizes the overall advertising duration and advertising take-off point.A numerical illustration is provided using the actual sales data of automobile industries,and sensitivity analysis is further performed to validate the effect of critical parameters on the optimization problem.

Drivers and barriers to energy-efficient technologies(EETs)in EU residential buildings

To achieve carbon targets,the European Union(EU)aims to promote nearly zero-energy buildings(nZEB).To enable the necessary transition,technical solutions need to converge with socio-economic factors,such values and awareness of stakeholders involved in the decision-making process.In this light,the aim of this paper is to characterise perceived drivers and barriers to nine energy-efficient technologies(EET),according to key decision-makers’and persuaders of the technology selection in the EU residential building context.Results are collected across eight EU countries,i.e.Belgium(BE),Germany(DE),Spain(ES),France(FR),Italy(IT),Netherlands(NL),Poland(PL),and United Kingdom(UK).The stakeholders’selected are architects,construction companies,engineers,installers and demand-side actors.Data from a multi-country survey is analysed to calculate the share of 15 drivers and 21 barriers(aggregated to 5 groups),being selected for each EET and country.The 5 groups considered to analyse drivers and barriers are environmental,technical,economic,social,legal.The perceived barriers and drivers were further studied for their association across the countries using the Pearson’s Chi2 and a Cramer’s V tests.The results demonstrate that across all EETs and countries,the technical and economic driver groups are perceived to have the highest potential to increase the implementation rate of EET.In terms of barriers,economic aspects are seen as the foremost reason that EET are not scaling faster.In both drivers and barriers legal aspects are the least often selected.In overall the barrier groups show significant variation across countries compared to driver groups.These findings provide an evidence-basis to better understand arguments in favour and against specific EETs and,in this way,support policy makers and other interested parties to increase the market share of the selected solutions.