科技政策对企业创新的作用机制研究——以广东省为例的实证分析

科技创新是立国之本、强国之路。政府在不同阶段制定相应的科技政策,以求持续激励企业参与创新活动、提高企业核心竞争力、促进产业结构转型升级。基于广东省2005-2017年上市公司数据,采用计数模型实证分析了地级市政府科技政策对企业创新的影响及作用机制。研究表明：科技政策力度越大,越能提高企业的创新水平;科技政策的激励作用主要通过研发强度这一中介变量产生;科技政策不仅能促进企业的策略性创新行为,同时也会导致企业的实质性创新行为;直接激励类型的政策对企业创新并无显著影响,而营造创新氛围的间接激励类型政策则对企业创新有着显著的正向影响;政策激励对非国有企业、非高科技企业的正向作用更加明显。     

内外融资对企业不同阶段创新投资的异质性效应——基于中国制造业上市公司的数据

根据创新价值链理论，将企业创新活动分为研究阶段（R）与开发阶段（D），探究内外源融资方式对企业不同创新阶段投资的异质性效应，为企业选择创新活动的融资渠道和政府设计精准支持企业创新政策提供参考。基于中国制造业上市公司数据实证研究发现：内源融资对企业研究投资有显著促进效应，对开发投资未产生显著促进作用；债权融资对研究投资和开发投资的作用均不显著；股权融资对研究投资的影响不显著，但对开发投资具有显著影响。内源融资对债权融资与研究投资、债权融资与开发投资的关系不具有调节效应；内源融资对股权融资与研究投资关系具有正向显著调节效应，对股权融资与开发投资的关系具有正向调整作用但不显著。     

相关多样性对企业创新的非线性影响——基于上市公司的PSTR实证研究

依据雅各布外部性理论探究相关多样性对企业创新的影响，基于2007-2013年上市公司数据，运用PSTR模型实证检验相关多样性对企业创新的非线性影响。研究发现：相关多样性对企业创新有正向作用；随着研发投入的不断增加，相关多样性对企业创新产生非线性影响；企业所有制性质不同，相关多样性对企业创新的非线性影响也不相同；随着研发投入的不断增加且突破某一临界值，在更高的研发投入诱导下，中、西部地区相关多样性对辖区企业创新产生更为强烈的正向作用。     

The diffusion of mobile payments: Profiling the adopters and non-adopters,Roger's way

This study aims to establish various market segments based on consumers' attitudinal elements influencing the adoption of mobile payments (m-payments). It also examines the best discriminators between identified clusters of m-payment users. Three hundred and sixty m-payment users participated in the study. Cluster and discriminant analyses were employed for the analysis. The findings suggest that two segments are established, and strategies can be developed accordingly. The study provides marketers with numerous touchpoints to propagate the adoption of m-payment apps. It also comprehensively explains m-payment users in developing economies by superimposing the cohorts to Roger's diffusion of innovation model.     

How do customers meet their needs in in-store and online fashion shopping? A comparative study based on the jobs-to-be-done theory

Understanding customer needs is key for fashion retailers to stay competitive and innovative. Surprisingly, however, extant literature mainly explores customer needs in terms of a garment and its attributes rather than viewing shopping as a problem-solving process to meet customer needs. Moreover, these studies fail to address how customers meet their needs in-store (ISFR) and online fashion retailing (OFR). To fill this research gap, we empirically investigate customers' personal and social needs and how they can be met through the jobs-to-be-done theory. Findings reveal that, beyond the purchase of a garment, customer needs can be fulfilled through different ways, such as smart technology or a person's high interaction with social others in ISFR and the online shop experience or a social linkage without social interaction in OFR. Additionally, our findings offer potential service innovations for fashion retailing managers.     

A conceptual model to imply a negative innovation assessment framework on consumer behaviors through the electronic business platforms

Online retail platforms significantly impact consumers' purchasing decisions. Satisfaction, purchase intent, and repeat online shopping drive the platform's purchasing decisions. In contrast, individuals do not purchase products due to dissatisfaction and lack of purchasing intent. It will cause hesitation and spread negative feedback to influence online consumer behaviors. This research proposes a conceptual model incorporating the Status Quo Bias (SQB) and the Negative Online Purchase Decision-Making Process (NOPDMP) to suggest a new framework for evaluating the maintained consumer behavior of online shopping platforms. The questionnaires following the proposed conceptual model were collected from the sample data from participants of 384 experienced respondents using online shopping platforms. Data were analyzed for the causal relationship using Structural Equation Model. The implications of the assessment framework that incorporates the influence of negative factors can weigh the decision to purchase products and improve and reduce shopping cart abandonment on e-commerce platforms. This framework can also describe instances of negative perspectives regarding incentive alignments with actual behaviors.     

How to identify the canaries that might save the organizations: Mapping the most curiosity-oriented in Brazil

This study explores the effectiveness of international instruments for identifying the curious and alerts us to the relative ineffectiveness of foreign instruments to map the curious in Brazil. We used indirect questions to better map the most curious collaborators at Brazilian organizations. We believe our instrument eludes the Brazilian bias for impression management. Our sample covered 384 respondents in Brazil and identified that there are more curious professionals in small and medium-sized enterprises than in large and multinational companies, and that team members are more curious than those in managerial positions. Furthermore, our study reveals that the most curious perceive to be penalized when offering their perceptions regarding weak signals. This study points the need to invest in developing and protecting a more curiosity-oriented staff. In addition to contributing to the literature on curiosity at work, this study provides insights for companies that want to develop their teams to perceive business weak signals.     

市场培育视角下科技协同创新模式的构建与完善

科技创新是创新驱动发展战略的核心,创新驱动发展战略的实施需要先进的科技创新模式支撑。由于目前我国科技创新市场发育还不完善,科技创新成果转化率、原创性以及经济增长效应均较低,尤其是现有科技创新模式忽视创新成果的原创性及转化率,且与国家发展战略的契合度不高,有效科技创新不足成为制约创新驱动发展战略实施的主要因素之一。从科技市场培育角度来看,应基于创新驱动发展战略理念,构建以企业、高校和科研院所、政府为主体的科技协同创新模式,转变创新主体观念和行为,完善创新成果交易市场,强化创新人才培养和管理,为创新驱动发展战略的顺利实施提供充分有力的科技创新支撑。     

一种基于自适应相似矩阵的谱聚类算法

为了消除在构建谱聚类算法的相似矩阵时,高斯核函数中尺度参数的波动影响,构建了一种自适应相似矩阵,并应用到谱聚类算法中。自适应相似矩阵中数据点间的距离度量采用测地距离算法,相距较近的两点间的距离近似于欧氏距离,相距较远的两点则先根据欧氏距离得到每个数据点的k个近邻点,然后累加近邻点的测地距离,由此得到每对数据点间的最短距离。两点间的局部密度用共享近邻的定义来表示,更好地刻画了数据集的本征结构。在5个人工数据集和国际通用UCI数据库中的5个真实数据集上进行实验。实验结果表明,所提算法的聚类准确率高于对比算法的准确率,对复杂分布数据有很强的自适应能力。研究成果为数据挖掘及机器学习提供了思路和方法。     

成渝地区双城经济圈协同创新发展现状与对策

成渝地区双城经济圈的建设对于当前形成国内大循环的经济发展新格局具有重要的战略意义。本文以成渝地区制造业与生产性服务业协同集聚为研究对象,以城市层面的全要素生产率作为城市高质量发展的衡量指标,利用成渝地区16个城市2005-2018年数据,构建动态面板模型,采用系统GMM的方法实证检验成渝地区双城经济圈制造业与生产性服务业协同集聚对成渝地区城市全要素生产率的影响,并基于DEA-Malmquist的方法对城市全要素生产率进行分解,通过对产业协同集聚和全要素生产率水平的测算构建模型,并实证检验了产业协同集聚对生产率影响的效果,提出通过平台共建、政策共通、市场共融以及人才共用等方面建立一体化协同发展体系推动成渝地区双城经济圈协同创新发展。