信息技术产业创新发展的演化复杂路径研究

信息技术产业创新发展的研究具有现实意义。通过文献研究建立信息技术产业创新演化复杂系统研究框架，汇总认知角度的创新层次、产业演化以及演化研究工具和方法等相关研究情况，认为应重视动态、演化和复杂系统的特点，政府介入推动自组织网络的高效率演化和发展，促进网络化学习，避免低端依赖，促进创新效率。创新系统研究应包含认知领域的相关成果，利用演化计算和机器学习方法构建模型，提升对真实行为的模拟仿真和解释能力。     

Can interfirm trust improve firms' cooperation on environmental innovation? The moderating role of environmental hostility

Based on the logic of “trust‐behavior,” we examined the relationship between interfirm cognitive trust, emotional trust, and firms' cooperation on environmental innovation, as well as the moderating role of environmental hostility on the relationship between two dimensions of interfirm trust and cooperation on environmental innovation. Data for the study were collected from 216 firms in China. The results indicated that both interfirm cognitive trust and emotional trust were positively correlated to firms' cooperation on environmental innovation, and the effect of emotional trust on firms' cooperation on environmental innovation was negatively moderated by environmental hostility. Finally, the results were discussed and future directions put forward.     

The reverse tragedy of the commons: an exploratory account of incentives for under-exploitation in an open innovation environment*

This paper presents an empirical account of a phenomenon that we refer to as the ‘reverse tragedy of the commons’ in open innovation. The name signifies the ‘under-exploitation’ of intellectual property (IP) under weak appropriability. The name is this graphic because the tragedy is costly, and can also render IP effectively worthless and block innovation in the short to medium term. We propose that the tragedy is borne out of the interaction between enterprise characteristics, a competitive setting and the framework that is set by the policy intervention. This finding is pertinent to policy-makers with regard to the design of research, development and innovation instruments, as well as managers who must determine how to implement open practices in innovation.     

Experience matters: The role of academic scientist mobility for industrial innovation

Research Summary: A learning‐by‐hiring approach is used to scrutinize scientists' mobility in relation to the recruiting firms' subsequent innovation output. Our starting point is that among firm hires, individuals with university research experience—hired from universities or firms—can be particularly valuable. However, conflicting institutional logics between academia and industry makes working with academic scientists challenging at times for firms. We suggest two solutions to this difficulty: hiring “ambidextrous” individuals with a mix of experience of university research and working for a technologically advanced firm, and a strong organizational research culture in the recruiting firm reflected by the presence of a scientist on the top management team. We track the mobility of R&D workers empirically using patent and linked employer‐employee data. Managerial Summary: An important way to make organizations more innovative is hiring individual researchers with the right types of skills and experience. We show that individuals with university research experience beyond their final degree are particularly likely to help boost firm‐level innovation output after hiring compared to R&D workers with other types of skills and experience. However, to obtain good returns to innovation from hiring such individuals, firms need a university research–friendly organizational culture when hiring individuals with university research experience, from either firms or academia.     

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.     

消费升级背景下大数据能力对商业模式创新的影响机理——基于小米和网易严选的案例研究

在消费升级背景下,数据正呈爆炸式增长,给企业带来了机遇与挑战,新的商业模式不断涌现。本文基于动态能力和大数据理论,以小米和网易严选为例,研究了在消费升级背景下大数据能力对商业模式创新的影响机理和路径问题,发现大数据能力通过客户价值、企业资源和能力、盈利模式驱动商业模式创新的三条路径。探讨了资源整合能力、深度分析能力和实时洞察与预测能力三个维度之间的关系,并构建出大数据能力对商业模式创新的影响机理模型,可以拓展大数据能力和现有企业商业模式创新的相关内容。     

互联网背景下消费扶贫的商业模式创新机理

消费扶贫通过消费需求拉动贫困户的劳动供给,实现扶志、扶智和扶贫的多重效果,具有可持续的长期效应。如何构建多方共赢的商业模式是消费扶贫成功的关键。本文基于全国比较典型的13个消费扶贫项目的一手和二手数据资料,从消费者和贫困户两类主体解析“消费扶贫”商业模式,运用NVivo软件进行三阶段质性编码构建模型,根据商业模式创新路径模型解释了道德型消费力对该类商业模式的内生性驱动作用,以及模式所产生的多态价值效应,并在此基础上对模式的激活驱动机理、创新过程以及创新价值输出进行了探究。     

实体零售业互联网创新演进机理--基于适应性营销能力的多案例研究

互联网创新已成为数字化时代实体零售业业态演进的主要目标。众多实体企业面临着从传统店铺零售转型为互联网零售方式的转型难题。本研究基于适应性营销能力理论,探讨了实体零售业从互联网转型战略到互联网转型项目实施过程,并构建了实体零售业互联网演进能力迁移的理论框架。研究发现:①适应性营销能力是解释实体零售业演进能力迁移的关键,实体零售企业互联网演进过程可以按照"互联网战略导向→适应性营销能力→组织政治策略→绩效"的关系进行表述;②实体零售业转型的主要战略是互联网市场导向和互联网技术导向,战略选择是基于企业自身资源基础和相对优势的分析;③实体零售业组织在互联网创新的角色具有双面性,即鼓励创新又适当妥协。研究结论进一步丰富了零售业演进理论和适应性营销理论的相关研究,对当前互联网环境下企业如何实施互联网战略转型具有实践指导意义。     

Automation,Financialization, and Institutional Change: Challenges for Progressive Policy

Abstract:

This article argues that the issue of “technological unemployment” resulting from automation is the result of ceremonial encapsulation within the process of progressive institutional adjustment. While institutions of production have adjusted to account for new technological developments, institutions of distribution have not. As discussed here, the main cause of this lack of adjustment is a financialized economy, in which shareholder returns motivate and dominate economic decision making and activity. As a result, gains and benefits from technological advances exacerbate existing income inequality and reduces the power of labor. I discuss this issue in detail before explaining how progressive policies that divorce private wage-labor from access to the system of social provisioning may serve to smooth this process of institutional adjustment caused by the introduction of automated processes.     

Depreciation of Business R&D Capital

We develop a forward-looking profit model to estimate the depreciation rates of business R&D capital. By using U.S. government data between 1987 and 2007, and the newly developed model, we estimate both constant and time-varying industry-specific R&D depreciation rates. The results comprise a set of R&D depreciation rates for major U.S. high-tech industries. They align with the main conclusions from recent studies that the rates are in general higher than the traditionally assumed 15 percent and vary across industries. The relative ranking of the constant R&D depreciation rates among industries is consistent with industry observations and the industry-specific time-varying rates are informative about the dynamics of technological change and the levels of competition across industries. Lastly, we also present a cross-country comparison of the R&D depreciation rates between the U.S. and Japan, and find that the results reflect the relative technological competitiveness in key industries.