创新生态系统不确定性条件下后发企业何以实现颠覆性创新——基于SOR模型的动态能力中介作用

创新生态系统被视为培养颠覆性创新的沃土,其日益增加的不确定性为后发企业提供了实现颠覆性创新的机会窗口。将动态能力细分为认知性动态能力与非认知性动态能力两个维度,利用SOR模型构建“条件刺激—能力构建—颠覆行为”的理论框架,试图打开创新生态系统不确定性条件下后发企业实现颠覆性创新的“黑箱”。基于创新生态系统中376份后发企业的样本数据,研究发现:①创新生态系统不确定性不仅对颠覆性创新有显著正向影响,而且对认知性动态能力和非认知性动态能力也有显著正向影响;②认知性动态能力与非认知性动态能力对颠覆性创新有显著正向影响,并且分别在创新生态系统不确定性与颠覆性创新关系中起部分中介作用;③创新生态系统开放度能够正向调节创新生态系统不确定性与认知性动态能力关系。研究有助于指导面对不确定性的后发企业实现“弯道超车”,并且为创新生态系统突破创新迟滞困境提供新思路。

基于SOR理论的电商直播销售影响机制实证研究

电商直播已经成为一种新的经济模式,越来越多的商家选择该模式进行销售商品。运用某直播运营公司在天猫和京东直播数据,以SOR理论为基础,从直播电商的视角进行销售额影响机制研究,结果发现:电商直播时段对观看人数有显著影响,选择晚间直播和在周三进行直播观看人数最多;直播经验、直播时长、成交件数和观看人数都能显著增加涨粉人数,而主播的性别对涨粉人数没有显著影响;观看人数与涨粉人数都能显著促进直播销售。研究内容拓展了以往从消费者角度进行分析的研究视角,直接从电商直播环境角度探索其内在的销售额影响机制,对商家和相关监管部门都有一定的实践和指导意义。

求解绝对值方程组的广义SOR型方法

为了求解大规模的绝对值方程Ax-|x|=b,利用预处理技术及参数矩阵取代单参数的策略,文章提出了一类广义SOR型(GSOR)方法。通过选取适当的预处理矩阵或参数,GSOR方法能简化为已有的一种SOR型(NSOR)方法或导出更有效的SOR型方法。而且,基于Ax-|x|=b方程解的唯一性条件,建立了GSOR方法的收敛性定理并给出了该方法的拟最优参数。特别地,利用截断的Neumann展开构建了一个新的预处理矩阵,由此导出了一种特殊的GSOR方法,记为GSOR-1方法。文章进一步证明:GSOR-1方法具有比NSOR方法更小的拟最优收敛因子。数值测试进一步揭示:GSOR-1方法比NSOR方法具有更快的收敛速度且耗费更少的计算时间。

电商直播中主播互动性、感知价值与用户参与行为——基于SOR理论的视角

随着社交媒体平台的快速发展,直播销售已成为电子商务的重要部分。然而,电商直播的特性在于实时互动,如何通过有效的互动获得更好的直播效果,特别是主播互动类型如何影响用户参与行为的机制尚不清晰。针对这一问题,本研究基于SOR模型,运用Python爬虫技术获取真实的直播动态数据,探究了任务型和关系型互动对不同用户参与行为(在线观看、点赞与评论)的影响,并研究了感知价值(包括感知信息价值与感知娱乐价值)的中介作用。研究结果显示,任务型互动对于用户评论有显著影响,但对用户在线观看和点赞影响不显著;相比之下,关系型互动对所有因变量均有显著影响。此外,作为中介变量的感知信息价值和感知娱乐价值,在主播互动和用户参与行为之间发挥了部分的中介作用。本研究扩大了SOR理论使用范围,丰富了电商直播中用户参与行为的研究,深化了对电商直播中感知价值的理解,研究结论对提升主播互动策略及优化直播效果具有一定的指导意义。

达人主播直播带货对消费者购买意愿的双路径影响——基于SOR及ELM模型的分析

文章基于SOR模型和ELM模型,研究了达人主播直播带货营销对消费者购买意愿的影响机理。该研究发现,消费者购买意愿通过中心路径和边缘路径被影响,中心路径因素为信息质量和促销激励,而边缘路径因素为达人主播的专业性、知名度和社会临场感。此外,消费者的感知信任和感知价值对其购买意愿具有显著正向影响,并在不同因素之间起中介作用。本研究结果提供了一个包括感知信任和感知价值双路径的中介影响模型框架,为未来研究该领域提供了新的思路和实证基础。

Design and validation of wireless acceleration sensor network for structural health monitoring

A wireless sensor network is proposed to monitor the acceleration of structures for the purpose of structural health monitoring of civil engineering structures. Using commercially available parts, several modules are constructed and integrated into complete wireless sensors and base stations. The communication protocol is designed and the fusion arithmetic of the temperature and acceleration is embedded in the wireless sensor node so that the measured acceleration values are more accurate. Measures are adopted to finish energy optimization, which is an important issue for a wireless sensor network. The test is perfonned on an offshore platform model, and the experimental results are given to show the feasibility of the designed wireless sensor network .

叙事魔力:何以触发网络直播购物的冲动购买行为——基于SOR与ELM理论模型的结合

网络直播购物的兴起,成为网络零售新的驱动力量,发生于直播带货中的冲动购买行为触发了业界、学界的共同关注。探究其行为背后的影响因素,以及其内在发生性机制,对推动网络直播购物模式的健康有序发展意义重大。文章针对以上两个核心问题,引入发生于直播情境中叙事(故事化)要素,探究其影响性作用。运用SOR与ELM理论为理论框架与分析基础,借助结构方程(SEM)与隐喻抽取技术(ZMET)混合研究方法开展研究。研究发现,直播情境中叙事(故事化)对冲动购买行为产生有显著影响。与此同时,主播知名度、互动性、叙事参与、冲动购买行为存在着链式关联。在发生性机制方面,研究提出了6核心构念,并诠释了叙事发生的系统性机制。最后,聚焦了3方面核心发现,并提出了3方面的实践要点。

求解3×3块鞍点问题的广义SOR方法

3×3块鞍点问题作为一类特殊的线性方程组,其迭代方法的研究极具挑战性。基于经典的广义逐次超松弛(Generalized Successive Over Relaxation,GSOR)方法,针对3×3块大型稀疏鞍点问题,提出了三参数的中心预处理GSOR方法并讨论了其收敛性。同时,通过数值实验验证了新方法在计算花费方面优于中心预处理的Uzawa-Low方法。进一步地,还将新方法拓展到i×i块鞍点问题,提出了相应的GSOR类迭代框架,通过数值实验和数据分析,给出了选择较优i的初步建议。

基于“刺激-机体-反应(SOR)”模型的新质生产力响应机制及提升路径研究

新质生产力是在传承、吸收和发展传统生产力的基础上演变而来,是现阶段中国高质量发展目标下充分发挥科学技术创新的带动引领作用,从而实现智能化数字化绿色化融合及创新链产业链资源链深度融合的新型生产力。新质生产力是新时代生产创造过程中的新力量,它的形成和发展遵循条件刺激、机体感知、行为响应的基本逻辑,但目前缺乏对此作出系统理论阐释以及响应机制的相关研究。而在“刺激-机体-反应(SOR)”模型中,刺激、机体和反应三者之间因果明确、逻辑清晰,能够很好地分析在不确定环境影响下生产力发生颠覆性变革的成因和响应机制。因此,尝试利用SOR模型阐释新质生产力形成发展的理论逻辑:从理论和历史的角度探析新质生产力形成的条件刺激,从劳动者、劳动资料、劳动对象剖析新质生产力形成的机体感知,从现实逻辑出发寻找新质生产力形成的行为响应;基于此,构建新质生产力形成发展的“5R”响应机制,包括科技创新响应机制、高素质人才响应机制、智能数字响应机制、现代化产业响应机制、新型要素响应机制,并从加强科技创新驱动、建设高素质人才队伍、完善新介质传导机制、加快培育现代化产业、强化资源设施基础等5个方面提出大力发展新质生产力的具体路径。

基于SOR模型的农产品直播购买意愿研究

直播近年来发展迅猛,在乡村振兴背景下,农产品电商直播发展愈发成熟。对在直播中如何激发消费者对农产品的购买意愿展开研究,探索农产品直播中的消费者购买意愿,针对提高农产品直播中的消费者购买意愿提出相关建议。研究结果表明:在农产品电商直播中,社交体验、主播领袖功能、抢购氛围、产品价格均对消费者购买态度有显著影响,而消费者购买态度对购买意愿有影响,可以通过提高消费者购买态度激发购买欲望,而提高消费者购买态度又可以从产品价格、抢购氛围、社交体验、主播领袖功能4个维度来进行提高。

基于SOR模型的在线健康社区用户药品购买意愿研究

近年来,互联网逐渐成为一种被广泛接受的购买产品和服务的方式,在线健康社区购买药品也不例外。基于SOR模型与信任理论,构建在线健康社区用户药品购买意愿的理论模型,探究药品价值属性(S)、感知信任(O)以及购买意愿(R)之间的作用机理过程。通过问卷调查收集有效样本数据314份,使用SPSS 23和AMOS 26检验分析模型并验证所提出的假设。研究结果表明,药品有效性和价格是两个强影响因素,显著正向影响用户药品购买意愿,且在此过程中,感知信任的中介效应明显;药品安全性对感知信任影响不显著,但对购买意愿具有显著正向影响。研究为后续在线健康社区用户消费行为研究奠定了基础,也进一步丰富了SOR理论的研究内容。

旅游研究中SOR理论的溯源、应用及展望

现阶段,旅游领域在SOR理论的应用中取得了一定的成果。文章以旅游领域中的SOR理论为基础,深入剖析其理论溯源、研究主题、维度辨析及方法应用,以期厘清旅游研究中SOR理论的应用现状和不足之处并提出研究展望。研究发现:SOR理论的发展演变经历了SR理论、SOR模型等的演变,最终形成了成熟的SOR理论。SOR理论在心理学、环境学和行为学等方面的应用相对广泛。SOR理论在旅游领域中的研究主题主要集中在不同主体的态度及行为、旅游网络营销研究、旅游目的地品牌及形象研究等方面。在旅游领域研究的SOR维度中,刺激维度由外部环境扩展到内部、外部环境等要素,机体维度由情绪拓展到认知、情感、知觉及态度等要素,反应维度由趋近、躲避行为拓展到各种意愿、行为等方面。此外,SOR理论在旅游研究中的方法包括定性方法、定量方法及混合方法。最后,从理论审视、维度辨析、多方法应用及动态测度等方面提出了研究展望,旨在为旅游研究中SOR理论的深化应用提供参考。

Design and Fabrication of a Bio-inspired Acceleration Sensor Using Liquid Mass Blocks

A linear acceleration sensor,which is inspired by the human balance organ,is designed and prepared. It uses a liquid mass-block and a symmetrical-electrodes metal-core polyvinylidene fluoride fiber(SMPF)as the sensor element. The output signal of the sensor has an exponential relationship with the excitation amplitude of the impacting vibration. It is capable of detecting the amplitude and the correct frequency for sinusoidal excitations using an exponential correlation. The experiments indicate that both the output signal of the sensor and the resonance frequency increase substantially with increasing diameter of the metal core. The first-order resonance frequencies of the sensors with 40,60,and 80 μm diameter metal wires are below 10 Hz,which is near the range of human body motion frequencies.

用于大规模MIMO系统的改进自适应SOR检测算法

大规模多输入多输出(Multiple-Input Multiple-Output,MIMO)系统由于具备较多的天线数,会导致传统线性信号检测算法如最小均方误差(Minimum Mean Square Error,MMSE)的复杂度过高。针对以上问题,提出了F修正的自适应超松弛迭代(F-corrected Adaptive Successive over Relaxation,FA-SOR)检测算法。该算法首先利用超松弛迭代(Successive over Relaxation,SOR)算法避免高阶矩阵求逆运算,降低复杂度;其次使用F修正的公式自动更新SOR算法迭代使用的松弛参数,同时优化迭代的公式与初始解来加快收敛速度。仿真结果表明,不论在理想独立信道还是相关信道下,相比于现有的自适应SOR算法,FA-SOR都能以更低的复杂度达到更低的误码率,同时逼近MMSE算法的性能。

SOR视角下女性用户信息行为异化的实证研究

文章以刺激—机体—反应(SOR)模型为基础,构建女性用户信息行为异化影响因素的理论模型。通过问卷调查收集329份有效样本,利用PLS-SEM分析数据进行假设检验。模型结果显示,系统功能过载、信息过载、信息质量参差不齐均正向影响女性用户焦虑,焦虑正向影响女性用户信息行为异化。此外,思辨力负向影响女性用户信息行为异化,但对女性用户的焦虑情绪以及调节女性用户焦虑与信息行为异化之间的关系并无显著作用。研究得出,信息提供者需要完善服务体系,社会需要从多维度缓解女性焦虑,女性用户需要提高自身思辨力。

Real-time measurement of high rotational projectile axial acceleration based on 2-axis acceleration sensor

The real-time measurement principle of high rotational projectile＇s angular velocity based on 2-axis acceleration sensor and the axial acceleration measurement error caused by the installation error are discussed.The 2-axis acceleration sensor is applied to measure the high rotational projectile＇s angular velocity and the measurement value of axial acceleration,the axial acceleration of the high rotational projectile equals the measurement value of axial acceleration subtracting the centrifugal acceleration component,so that the high-accuracy real-time measurement of axial acceleration is realized.The memory test has confirmed the strike tally of the theoretical analysis and the test result.The measurement technique can satisfy the high-accuracy measurement of the high rotational projectile axial acceleration in the self-determination course correction fuze projectile.

The acceleration of a high-charge electron bunch to 10 GeV in a 10-cm nanoparticle-assisted wakefield accelerator

An intense laser pulse focused onto a plasma can excite nonlinear plasma waves.Under appropriate conditions,electrons from the background plasma are trapped in the plasma wave and accelerated to ultra-relativistic velocities.This scheme is called a laser wakefield accelerator.In this work,we present results from a laser wakefield acceleration experiment using a petawatt-class laser to excite the wakefields as well as nanoparticles to assist the injection of electrons into the accelerating phase of the wakefields.We find that a 10-cm-long,nanoparticle-assisted laser wakefield accelerator can generate 340 pC,10±1.86 GeV electron bunches with a 3.4 GeV rms convolved energy spread and a 0.9 mrad rms divergence.It can also produce bunches with lower energies in the 4–6 GeV range.

An Investigation of the Secular Acceleration of Psychiatric Disorders

Secular acceleration, for example an increase in height in groups of people over a period of time of more than a century, is a unique, perhaps “ecological” event. In the study presented here, historical patient files from the Jena Psychiatric Clinic were evaluated in relation to the problem of acceleration. A first sampling of 119 patient files for the years 1880-1890 revealed that, for children and adolescents up until the end of their twentieth year of life, the average age at the time of their first admission was 17 years. Compared to this, the first admission of a second sample of 132 patient records for the years 1985-1987 revealed a clearly younger average age at first admission of 11 years. This difference in age was found to be statistically significant. The heights of 14-year-old subjects from the city of Jena for the years 1880 to 1975 obtained from the literature showed a documented increase in height of almost 20 cm. The results of our investigation revealed that, in addition to physical acceleration, there was also an advancement of pathological mental processes in the course of a period of 100 years.

Exhaustive review of acceleration strategies for Monte Carlo simulations in photon transit

Monte Carlo simulation techniques have become the quintessence and a pivotal nexus of inquiry in the realm of simulating photon movement within biological fabrics.Through the stochastic sampling of tissue archetypes delineated by explicit optical characteristics,Monte Carlo simulations possess the theoretical capacity to render unparalleled accuracy in the depiction of exceedingly intricate phenomena.Nonetheless,the quintessential challenge associated with Monte Carlo simulation methodologies resides in their extended computational duration,which significantly impedes the refinement of their precision.Consequently,this discourse is specifically dedicated to exploring innovations in strategies and technologies aimed at expediting Monte Carlo simulations.It delves into the foundational concepts of various acceleration tactics,evaluates these strategies concerning their speed,accuracy,and practicality,and amalgamates a comprehensive overview and critique of acceleration methodologies for Monte Carlo simulations.Ultimately,the discourse envisages prospective trajectories for the employment of Monte Carlo techniques within the domain of tissue optics.

Induction heating for desorption of surface contamination for high-repetition laser-driven carbon-ion acceleration

This study reports the first experimental demonstration of surface contamination cleaning from a high-repetition supply of thin-tape targets for laser-driven carbon-ion acceleration.The adsorption of contaminants containing protons,mainly water vapor and hydrocarbons,on the surface of materials exposed to low vacuum(>10^(−3)Pa)suppresses carbon-ion acceleration.The newly developed contamination cleaner heats a 5-μm-thick nickel tape to over 400℃in 100 ms by induction heating.In the future,this heating method could be scaled to laserdriven carbon-ion acceleration at rates beyond 10 Hz.The contaminant hydrogen is eliminated from the heated nickel surface,and a carbon source layer—derived from the contaminant carbon—is spontaneously formed by the catalytic effect of nickel.The species of ions accelerated from the nickel film heated to various temperatures have been observed experimentally.When the nickel film is heated beyond∼150℃,the proton signal considerably decreases,with a remarkable increase in the number and energy of carbon ions.The Langmuir adsorption model adequately explains the temperature dependence of desorption and re-adsorption of the adsorbed molecules on a heated target surface,and the temperature required for proton-free carbon-ion acceleration can be estimated.