颠覆性技术关注方向演化研究

关注颠覆性技术创新方向演变对于构建颠覆性技术“发现—遴选—培养”机制，挖掘重大颠覆性技术选题具有重要意义。利用三螺旋协同性测度模型量化政府、产业、学术界3类主体对颠覆性技术关注方向的协同程度，构建颠覆性技术行动者网络，利用社会网络分析法解析网络结构形式下政、产、学三方关注颠覆性技术创新的耦合方向，探究高度耦合技术方向的演化特点。最后，获得技术关注方向协同性、技术关注耦合方向特征、技术关注方向耦合时间时序特征、技术关注方向耦合机构特征、高度耦合技术方向演化特征5个方面的结论。     

Systematic acceleration of radical discovery and innovation in science and technology

A systematic two-component approach (front-end component, back-end component) to bridging unconnected disciplines and accelerating potentially radical discovery and innovation (based wholly or partially on text mining procedures) is presented. The front-end component has similar objectives to those in the classical literature-based discovery (LBD) approach, although it is different mechanistically and operationally. The front-end component will systematically identify technical disciplines (and their associated leading experts) that are directly or indirectly-related to solving technical problems of high interest. The back-end component is actually a family of back-end techniques, only one of which shares the strictly literature-based analysis of the classical LBD approach. The non-LBD back-end techniques (literature-assisted discovery) make use of the human experts associated with the disparate literatures (disciplines) uncovered in the front-end to generate radical discovery and innovation.Specifically, in the literature-assisted discovery operational mode, these disparate discipline experts could be used as:

1. Recipients of solicitation announcements (BAA, SBIR, MURI, journal Special Issue calls for papers, etc.),

2. Participants in Workshops, Advisory Panels, Review Panels, Roadmaps, and War Games,

3. Points of Contact for Field Science Advisors, Foreign Field Offices, Program Officer site visits, and potential transitions.

美国在颠覆式创新中如何跨越"死亡之谷"?

颠覆式创新是美国战后保持其世界领先科技强国优势地位的决定性因素.在颠覆式创新过程中,联邦政府资助的基础研究与产业界资助的应用性研发之间存在着一条由融资真空带所导致的"死亡之谷",使得大量基础研究成果无法实现商业化.为了解决这一难题,美国政府的作用并没有局限于解决"市场失灵"问题,而是对基础研究成果的商业化过程进行直接干预,通过创建多种混合公私资源的杂交型创新机构,吸引和激励大量私人资本共同推进基础研究的商业化,在信息革命中发挥了巨大作用.而今,迈入社会主义新时代的中国已经在战略上提出要发展颠覆性技术,增强本国原始创新力,但长期以来,基础研究与生产相脱节、商业化率低一直就是中国科技创新中的"老大难"问题,美国颠覆式创新的投融资机制不仅为中国解决这一难题提供了有益借鉴,而且对中国军民融合战略的深化和建设世界科技强国也具有重要的启发意义.     

颠覆性技术创新的政策需求分析——以智能交通为例

由于颠覆性技术创新具有科学突破性、长周期性、替代性、产业爆发性、价值跃迁性等特点,需要在不同的发展阶段进行不同的政策支持,特别是对于政府导向的重大颠覆性技术创新,更需要在关键技术研发和应用场景创造方面给与大力支持。智能交通作为政府导向的颠覆性技术创新,随着智能交通技术由基础技术体系、关键技术向技术融合发展转变,其政策支持也经历了由支持基础研发为主的供给型政策到以支持应用示范为主的需求型政策,再到以财税优惠和产业规制为主的环境型政策的转变。同时,本文认为应该注重颠覆性技术的阶段识别和应用场景开放,完善早期的培育政策和后期的市场引导政策,才能更好的促进我国颠覆性技术的产生和发展。     

颠覆性双元创新对数字产业技术融合的影响研究——市场与技术的联动效应

颠覆性创新是数字产业突破在位企业封锁,掌握技术主导权的核心动力。多维度的颠覆性创新政策能否真正促进数字产业技术融合度的提升,行业中其他企业又扮演何种角色？本文围绕技术与市场两个维度,基于数字产业中具有代表性智能制造业的研究数据,运用双元创新理论,探讨探索与利用两种颠覆性技术创新政策影响数字产业技术融合的异同,以及技术距离在其中的作用机制;并比较颠覆性技术双元和颠覆性市场双元之间不同的联动效应。采用逐步回归进行实证检验,研究发现：(1)颠覆性技术探索对技术融合度有显著的正向影响,且技术距离正向调节颠覆性技术探索与技术融合度间关系;(2)颠覆性技术利用与技术融合度呈倒U型关系,且技术距离正向调节颠覆性技术利用与技术融合度间关系;(3)不同的颠覆性技术创新和颠覆性市场创新联动关系对企业技术融合有着截然不同的影响,具体来说,在企业选定颠覆性技术探索战略的情境下,颠覆性市场双元对数字产业技术融合度不会产生明显的促进或抑制作用;在企业选定颠覆性技术利用战略的情境下,颠覆性市场探索对数字产业技术融合度表现出更为明显的促进作用。     

Technological generalizations and leitbilder—the anticipation of technological opportunities

Recent national technology foresight studies as well as the Millennium Project of the American Council for the United Nations University are very much based on “nodes of discussion.” These short statements are called, e.g., topics, issues, or developments. This article provides a framework for the classification and analysis of nodes related to future technological development. Key concepts of the article are “technological generalization” and “leitbild.” The topics in the technology foresight Delphi studies can be seen as different kinds of generalizations from already realized technological developments. Leitbild is a German word. Its most general meaning is a guiding image. Like a common vision, a leitbild creates a shared overall goal, offers orientation toward one long-term overall goal, and provides a basis for different professions and disciplines to work in the same direction. The analysis of leitbilder and emerging technological paradigms might contribute to the construction of topics and issues and to the argumentation processes related to them.     

The process of applied technology forecasting : A study of executive analysis, anticipation, and planning

The objective of this research is a study of technology forecasting not only as a discipline but also as an executive responsibility by applying the information processing theory to this task. A protocol analysis from Ericsson and Simon, modified for this study, was used for the analysis of interview data of top executives from the magnetic resonance imaging industry and their superconducting magnet suppliers, when they had to face a specific technological event. The technological event is the breakthrough discovery of ceramic superconducting materials in 1986, and the fast technological progress that followed between 1987 and 1989. This paper illustrates the processes through which senior executives collect information, process it, and develop plans and predictions in the context of “hard” uncertainty. We use cognitive and strategic decision-making research to develop a normative typology of executive decision making in similar contexts.     

R&D cluster quality measures and technology maturity

“Innovation indicators” strive to track the maturation of an emerging technology to help forecast its prospective development. One rich source of information is the changing content of discourse of R&D, as the technology progresses. We analyze the content of research paper abstracts obtained by searching large databases on a given topic. We then map the evolution of that topic's emphasis areas.The present research seeks to validate a process that creates factors (clusters) based on term usage in technical papers. Three composite quality measures—cohesion, entropy, and F measure—are computed. Using these measures, we create standard factor groupings that optimize the composite term sets and facilitate comparisons of the R&D emphasis areas (i.e., clusters) over time.The conceptual foundation for this approach lies in the presumption that domain knowledge expands and becomes more application specific in nature as a technology matures. We hypothesize implications for this knowledge expansion in terms of the three factor measures, then observe these empirically for the case of a particular technology—autonomous navigation. These metrics can provide indicators of technological maturation.     

Airports and the air transportation system: Functional refinements and functional discovery

This paper examines the technological development of the airport and the air transportation system in order to identify opportunities for increased growth and development. The paper identifies two approaches to accomodating growth, which it terms functional refinement and functional discovery. The former refers to incremental improvements, the latter to the discovery of new technological forms and functions. Functional refinements condition and frequently constrain efforts towards functional discovery. For example, efforts to advance “demand management” may not be beneficial for the exploration of new uses for air transportation technology. The paper examines how efforts towards functional refinement might be reoriented towards fostering functional discovery, identifies parallels between the air transportation system and other infrastructure systems, and examines how efforts towards functional refinement that lock out functional discovery run counter to powerful social pressures for flexible, specialized production.     

数字经济时代下联盟管理能力对企业颠覆性技术创新的影响——知识流动的中介作用与知识重构能力的调节作用

随着5G网络、人工智能等新科技的推广，数字经济时代已经到来。然而，在数字经济时代下，工业企业要在新一轮科技革命中抢占先机，必须组建联盟关系推动颠覆性技术创新。基于创新联盟理论，构建联盟管理能力与企业颠覆性技术创新研究框架，通过对451份有效问卷数据的实证研究发现：①联盟管理能力对企业颠覆性技术创新有显著正向影响；②知识流动在联盟管理能力与企业颠覆性技术创新的关系中起部分中介作用；③知识重构能力调节联盟管理能力与知识流动和颠覆性技术创新之间的正相关关系。     

萌芽期颠覆性技术识别研究

从颠覆性技术成长周期入手，根据萌芽期颠覆性技术特点，采用基于创新性、独创性与功能分析的识别方法，在技术创新没有造成市场显著变化时实现预警决策。首先进行技术生命周期分析，随后利用创新性和独创性特点衡量技术颠覆性，排除渐进性技术干扰，最后运用功能分析方法研究技术新功能对未来市场的影响。以工业机器人专利技术领域进行实证，验证了方法的可行性和有效性。     

An analysis of factors improving technology roadmap credibility: A communications theory assessment of roadmapping processes

In recent years, many industrial firms have been able to use roadmapping as an effective process methodology for projecting future technology and for coordinating technology planning and strategy. Firms potentially realize a number of benefits in deploying technology roadmapping (TRM) processes. Roadmaps provide information identifying which new technologies will meet firms' future product demands, allowing companies to leverage R&D investments through choosing appropriately out of a range of alternative technologies. Moreover, the roadmapping process serves an important communication tool helping to bring about consensus among roadmap developers, as well as between participants brought in during the development process, who may communicate their understanding of shared corporate goals through the roadmap. However, there are few conceptual accounts or case studies have made the argument that roadmapping processes may be used effectively as communication tools. This paper, therefore, seeks to elaborate a theoretical foundation for identifying the factors that must be considered in setting up a roadmap and for analyzing the effect of these factors on technology roadmap credibility as perceived by its users. Based on the survey results of 120 different R&D units, this empirical study found that firms need to explore further how they can enable frequent interactions between the TRM development team and TRM participants. A high level of interaction will improve the credibility of a TRM, with communication channels selected by the organization also positively affecting TRM credibility.     

基于跨案例研究的颠覆性技术演进特征分析

在梳理前人研究成果的基础上，得到颠覆性技术演进的14个特征范畴，从低端颠覆和高端颠覆视角选取电动自行车等4项不同类型颠覆性技术演进特征进行跨案例分析，遵循复制法对特征范畴进行反复修正、补充与融合，分别得到12个低端颠覆性技术演进特征和13个高端颠覆性技术演进特征，并据此构建全过程视角下颠覆性技术特征模型。通过对两种颠覆性技术演进特征进行对比分析，总结出在创造性、异轨性和迭代性上的特征共性，以及在价值主张、价值路线和价值检验上的特征差异。     

When technological discontinuities and disruptive business models challenge dominant industry logics: Insights from the drugs industry

An industry's dominant logic is the general scheme of value creation and capture shared by its actors. In high technology fields, technological discontinuities are not enough to disrupt an industry's dominant logic. Identifying the factors that might trigger change in that logic can help companies develop strategies to enable them to capture greater value from their innovations by disrupting that logic. Based on analyzing the changes that biotechnologies and bioinformatics have brought to the drug industry, we identify and characterize three triggers of change that can create disruptive business models. We suggest that, in mature industries experiencing strong discontinuities and high technological uncertainty, entrants' business models initially tend to fit into the industry's established dominant logic and its value chains remain unchanged. But as new technologies evolve and uncertainty decreases, disruptive business models emerge, challenging dominant industry logics and reshaping established value chains.     

A model of “coupled” technology transfer : A logistic curve approach

This article presents a mathematical model relating to the technology transfer problem. The origin of the problem stems from the existing trade-offs between the strategies of “technological progressiveness” and “static efficiency” employed by firms or countries defined as “leaders” and “followers,” respectively. The formulation of the model is based on the assumption that the technological development of a firm or a country follows a logistic growth curve when related to a specific technology. During the process of a “coupled” technology transfer, the development of the follower changes and its behavior is described by a first order nonhomogenous deferential equation. Different scenarios of the “coupled” technology transfer between the leader and the follower are being discussed.     

The semiconductor silicon industry roadmap: Epochs driven by the dynamics between disruptive technologies and core competencies

The resource-based perspective has done much to identify idiosyncratic firm attributes that may be a principal source of competitive advantages. Unfortunately, there has been little systematic industry evidence to support the strategic importance of core competence, nor has there been much work on the temporal or cumulative nature of core capabilities within an industrial setting. Further, little or no research has been performed demonstrating how the advent of technological discontinuities or disruptive technologies plays a part in creating epochs in technology competency development and the roadmap of an industry. In this study, we analyze the evolutionary and cumulative nature of core capabilities and their interactions with technological discontinuities from a market-driven perspective. We have studied the evolution of 167 firms through the 50-year history of the semiconductor silicon industry. Over time, there were several structural shifts in the necessary competencies through the advent of disruptive technologies. In the last 30 years, however, the change in the required competencies has been more cumulative in nature. We summarize this in a roadmap detailing the epochs in the semiconductor silicon industry.     

Roadmapping a disruptive technology: A case study: The emerging microsystems and top-down nanosystems industry

If technological roadmapping is important in the process of rapid technology commercialization, and if a method tailored to roadmapping nascent disruptive technologies does not exist, and if these very same disruptive technologies portend to be the future economic engines for firms, countries, and regions, then there is cause for concern. This article seeks to shed some light on the process in industrial disruptive technology roadmapping by focusing on the fundamental differences between sustaining and disruptive technologies. This article investigates the utility of theoretical and practitioner traditional technology roadmapping tools in an international industrial roadmapping effort focusing on microtechnology and top-down nanotechnology. I then modify the traditional technology roadmapping approaches generating a model for an industrial worldwide disruptive technology roadmapping process. I utilize the International Industrial Microsystems and Top-Down Nanosystems Roadmap (IIMTDNR) effort, which included nearly 400 people, from nearly as many firms, from over five continents and was developed over a 5-year period. The IIMTDNR process is used to provide the basis for a model for a commercial disruptive technology roadmapping process.     

Structure and understanding: Some observations on current activities in the field of structural modeling

Structural modeling has been under study in recent years as a method for dealing with complex societal problems, and is growing in acceptance as a tool for understanding complex social phenomena. Structural models demonstrate the interactions of the separate elements of a system and their combined overall effect. Thus, the nature of the problem for which this method of analysis is appropriate is different from complex problems of the traditional disciplines which lend themselves to reductionist approaches. This is because complex policy problems of society cannot be “solved” with precise analysis. Kenneth Boulding suggests that there are two ways to cope with a complex policy problem, either to “slice” the problem into partial equilibrium sections or “squeeze” it by aggregating numerous variables into a single index or macho variable. Structural modeling is an approach which comes under the general strategy of squeezing the problem and is promising because of the ability to include a range of macro variables which provide insights about social change. The articles in this issue treat several interesting aspects of this approach. In this article we wish to recall for consideration a central purpose for developing such methods. We have taken a historical approach to indicate some of the roots of the concern for the effect of technological process on social change. Within this context, we discuss the nature of the contributions made by the articles in this issue and what promise the methods offer to addressing the historical concern.     

Making the energy transition in rural east Africa: Is leapfrogging an alternative?

There is renewed optimism about the potential for leapfrogging in the rural energy sector of East Africa. By adopting highly efficient and renewable technologies many believe the region can rapidly bypass the conventional path of energy development and skip directly into the use of more efficient and environmentally friendly technologies. This study explores the potential for energy leapfrogging by examining three technological approaches targeted at rural households in East Africa: conventional grid expansion, renewable energy technologies supplying electricity, and improved cookstoves. The study identifies economic, social, political, and cultural factors limiting the ability of rural people to rapidly switch into using and/or supplying these technologies. The potential for leapfrogging may be overstated by planners and experts who focus on the technical and economic viability of the technologies while insufficiently considering the social conditions and economic realities of daily life in the region. Moreover, energy leapfrogging itself is considered a misconception. Energy transitions in rural areas are incremental processes—not leaps—dependent upon household and regional accumulations of technological capabilities. These capabilities have technical, organizational, and institutional components and are manifest in individuals' capacity to adapt to new technologies, their ability to take economic risks, and in their desire to modify their behavior. In designing technology dissemination or energy supply projects, planners must thoroughly account for the capabilities existing in rural areas.     

A prospective on macrocybernetic process management systems

In an editorial in the February 1996 issue of Technological Forecasting and Social Change Professor Linstone noted that “the rapid pace of technology has not been matched by the pace of human change.” Were we to drop our perspective a bit lower, a similarly troublesome imbalance within technology itself becomes apparent: the rapid rate of increase in the complexity of process-related technologies relative to the much slower rate of increase in the sophistication of process control systems. The conclusion at which most technological forecasts seem to arrive is that there will be a continuation—perhaps even an acceleration—of the trend toward more intricate and sweepingly extensive processes (production-related and otherwise). If so, there is the specter of a steadily increasing shortfall between requirements and capabilities, and hence the likelihood of even grander technological embarrassments. This article considers two ways in which this shortfall might be kept in check. Increases in the intricacy of processes can be met, and to a considerable extent are already being met, by exchanging conventional process control facilities for enhanced alternatives. Less certain is how expansions of project scope might best be accommodated. One possibility is to consider exchanging process control systems for broader-purview process management systems. Hence the focus in this article is on prospects for the development of macrocybernetic constructs.