The rapid growth of digital technologies and the extraordinary amount of data that devices and applications collect each day are increasingly driving companies to radically transform the business architecture through which they create and appropriate value. However, companies may fail to extract value from digital transformation due to the disconnection between strategy formulation and strategy implementation. Through the analysis of three case studies of firms that digitally transformed their business—namely ABB, CNH Industrial, and Vodafone—this article presents a framework than can help companies implement their digital transformation strategy and thereby renovate their business model.

近年来，数字技术给企业发展和创新研究带来新的机遇与挑战，学界呼吁构建新理论解释企业数字创新形成机理。基于资源基础观和制度理论视角，系统分析传统非互联网企业如何通过匹配技术资源（IT能力）和社会属性资源（组织合法性）实现数字化转型以获取数字创新绩效，通过构建理论模型，进一步对275份传统非互联网企业样本进行线性回归分析和Bootstrap分析，并对理论假设进行验证。结果表明：IT能力和应用数字技术进行数字化转型对传统非互联网企业数字创新绩效具有显著正向影响；应用数字技术进行数字化转型对IT能力和数字创新绩效的关系具有中介效应；组织合法性对IT能力、应用数字技术进行数字化转型和数字创新绩效的中介效应具有进一步调节作用。结论说明传统非互联网企业能够利用技术投资构建IT能力以促进数字创新绩效提升，而通过技术资源和具有社会属性的合法性资源匹配实现数字化转型，能够获取更多数字红利。

企业数字创新进程不断加速，研究表明，大数据驱动创新过程有利于提高创新绩效，但不同阶段以及不同水平的大数据驱动创新过程与创新绩效的作用机理仍有待研究，数字创新理论及具有中国特色数字创新理论亟待发展。本文探究大数据驱动创新过程通过产品创新度影响创新绩效的路径与机理，收集594个中国、475个美国和507个英国数字创新项目，采用多元回归、层次回归与“pick-a-point”方法，实证分析大数据驱动创新过程对产品创新度的倒U型影响，检验大数据驱动运营对产品创新度与创新绩效关系的调节作用。研究结果表明，在中国，大数据驱动商业分析、产品设计与商业化对产品创新度产生倒U型影响，即双元驱动商业分析、产品设计与商业化最能提升产品创新度。调节检验结果表明，随经验驱动运营向大数据驱动运营转变，产品创新度对创新绩效由U型影响变为正向影响。当产品创新度很低或很高时，大数据驱动运营抑制产品创新度对创新绩效的积极影响，而当产品创新度处于中间水平时，大数据驱动运营促进产品创新度对创新绩效的积极影响。跨国比较还发现，美国和英国具有类似的研究结论。通过理论分析与实证检验，研究丰富了数字创新理论，推进了具有中国特色的数字创新理论发展，揭示了大数据驱动创新过程、产品创新度与创新绩效的效应路径与作用机理，发展了大数据驱动运营相关理论，拓展了影响产品创新度与创新绩效关系的情境因素，为企业数字创新实施提供了新的管理见解和策略启示。

Firms are accelerating the digital innovation. Previous studies have shown that big data-driven innovation process has a positive affect innovation performance. Yet, few extant studies have examined how different stages and different levels of big data-driven innovation process affect innovation performance. This study develops a research model to examine how big data-driven innovation process affect innovation performance through the mediating effects of innovativeness and how big data-driven operation moderate the relationship between innovativeness and innovation performance. To test the proposed theoretical model, this study collected data from 594 China, 475 U.S., and 507 United Kingdom digital innovation projects and analyzed the data using regression analysis methods. The results show that: (1) ambidexterity-driven product design and big data- driven product testing have a significant positive impact on innovativeness in China, U.S., and United Kingdom. (2) changing from experience-driven operation to big data-driven operation, the effect of innovativeness on innovation performance changes from U-shaped to positive; (3) in China, when innovativeness is very low or very high, big data-driven operation has a negative moderating effect on the relationship between innovativeness and innovation performance; when innovativeness is at middle level, big data-driven operation plays a positive moderating role. In U.S. when innovativeness is very low, big data-driven operation plays a negative moderating role; with the improvement of innovativeness, big data-driven operation plays a positive moderating role. In United Kingdom, big data-driven operation always plays a positive moderating role.This study makes several theoretical contributions to the literature on digital innovation. This study extends big data-driven innovation process and innovation performance model and enriches the theoretical research on digital innovation. This study also develops big data-driven operation and tests the moderating effect of big data-driven operation. Finally, this study promotes the development of theoretical research on digital innovation in China.

Rapid and pervasive digitization of innovation processes and outcomes has upended extant theories on innovation management by calling into question fundamental assumptions about the definitional boundaries for innovation, agency for innovation, and the relationship between innovation processes and outcomes. There is a critical need for novel theorizing on digital innovation management that does not rely on such assumptions and draws on the rich and rapidly emerging research on digital technologies. We offer suggestions for such theorizing in the form of four new theorizing logics, or elements, that are likely to be valuable in constructing more accurate explanations of innovation processes and outcomes in an increasingly digital world. These logics can open new avenues for researchers to contribute to this important area. Our suggestions in this paper, coupled with the six research notes included in the special issue on digital innovation management, seek to offer a broader foundation for reinventing innovation management research in a digital world.

随着数字技术的迅速发展及其对产品和服务过程的深度嵌入，数字技术及其与产业发展的高度融合超越了传统创新理论研究的边界，需要以数字创新理论为支撑对其关键特征与发展机制作深入探讨与分析。本文分析了数字创新理论的内涵、基本类型与关键特征, 并从技术和社会两个视角对管理学语义下创新研究的延伸与拓展进行了分析。并对比了数字创新的自生长性创新和模块化创新规律，深度剖析了我国数字创新在政策支持、规模性、异质性、用户关联性等方面的特征。研究发现数字创新过程中数字能力的嵌入，改变了产品和服务提供价值的过程；中国海量的用户基础及其异质性与多层化成为中国企业未来推动数字创新、建立主导优势的重要机遇。

复杂多变的数字环境下，能力重构已成为数字化企业充分利用新兴数字技术来实现数字融合产品创新的有效机制。然而，如何进行能力重构来实现数字融合产品创新仍未被现有研究充分揭示。选取小鸟科技作为案例研究对象，解析了数字融合产品创新不同阶段下企业能力重构的过程及作用机制。研究发现：在数字创新启动阶段，通过进行数字感知能力重构，对潜在数字创新机会发挥着加速洞察的作用机制；在数字创新开发阶段，通过进行数字学习能力重构，对数字技术融合绩效发挥着协奏增进的作用机制；在数字创新应用阶段，通过进行数字敏捷能力重构，对价值创造过程变革发挥着重塑支撑的作用机制。研究结论拓展了能力重构与数字融合产品创新相关文献，对数字化企业通过能力重构以加速推动数字融合产品创新进程具有指导意义。

In the complex and changeable digital environment, capability reconfiguration has become an effective mechanism for digital enterprises to make full use of emerging digital technologies to achieve digital integration product innovation. However, how to perform capability reconfiguration to accelerate digital integration product innovation has not been fully revealed by existing research. DigiBird is selected as the case study object, to analyze the process and mechanism of enterprise capability reconstruction under different stages of digital integration product innovation. The results show that: In the initiating digital innovation stage, digital sensing capabilities reconfiguration is realized, which plays accelerated insight for potential digital innovation opportunities. In the developing digital innovation stage, digital learning capabilities reconfiguration is realized, which plays orchestrating enhancement for digital technology integration performance. In the implementing digital innovation stage, digital agility capabilities reconfiguration is realized, which plays remodeling support for value creation process transforming. The research results extend the literature on capacity reconfiguration and digital integration product innovation, and provide guidance for digital enterprises to accelerate the process of digital integration product innovation through capacity reconfiguration.

What factors and processes drive value appropriation and value creation in interdependent industry ecosystems? This paper explores this issue through a case study comparing the deployment of the i‐mode mobile Internet service in two countries, seeking the reasons behind its contrasting fortunes: spectacular success in Japan vs failure in Europe. The comparison between network operators NTT Docomo in Japan and KPN in the Netherlands suggests that differences in the underlying industry architectures explain why similar platform strategies led to such different outcomes. The paper contributes to the literature on industry architecture by unpacking the interaction between evolutionary processes, industry architecture, and business strategies. It also contributes to the platforms literature, by positing that firms' ability to successfully pursue platform strategies depends on industry architecture.

如何顺利度过数字化转型阵痛期成为中国企业利用数字经济红利提高自身创新水平的重要战略问题。整合IT能力、社会认知与社会认同理论，基于2011—2020年中国A股上市公司数据，实证检验数字化转型对创新绩效的非线性作用机制。结果发现：企业数字化转型对创新绩效的影响呈现先下降后上升的U型曲线，即存在数字化转型阵痛期；员工数字化个人认知在U型关系间发挥部分中介作用；员工数字化组织认知可以调节U型关系，促使拐点左移，并导致U型关系变得陡峭。结论启示从员工对企业数字转型的个人认知和组织认知两个方面优化员工数字认知，应用数字技术营造有利于组织创新的员工认知环境，对我国企业数字化转型具有重要理论意义与实践价值。

本文基于2013—2019年中国A股上市公司数据,探究区域数字经济发展对企业技术创新的影响及其机制。研究发现,数字经济发展显著推动了企业技术创新水平提升且具有创新数量和质量的双重促进效应,经一系列稳健性检验和内生性处理后结论依然成立。进一步的机制分析表明,数字经济发展能有效提高不同创新主体间的创新协同程度,增强企业的技术吸收能力,从而有利于企业技术创新水平提升。此外,数字经济发展的创新促进效应还受到企业特征的影响,在国有企业、制造业企业和非高技术企业中,数字经济对企业技术创新的提升效果更为显著。

在心理学和其他社科研究领域, 大量实证文章建立中介效应模型, 以分析自变量对因变量的影响过程和作用机制。检验中介效应最流行的方法是Baron和Kenny的逐步法, 但近年来不断受到批评和质疑, 有人甚至呼吁停止使用其中的依次检验, 改用目前普遍认为比较好的Bootstrap法直接检验系数乘积。本文对相关的议题做了辨析, 并讨论了中介分析中建立因果关系的方法。综合新近的研究成果, 总结出一个中介效应分析流程, 并分别给出显变量和潜变量Mplus程序。最后介绍了中介效应模型的发展。

<p>Mediation models are frequently used in the research of psychology and other social science disciplines. Mediation indicates that the effect of an independent variable on a dependent variable is transmitted through a third variable, which is called mediator. In most applied research, Baron and Kenny&rsquo;s (1986) causal steps approach has been used to test mediating effect. In recent years, however, many methodological researchers questioned the rationality of the causal steps approach, and some of them even attempted to stop its use. Firstly, we clarify the queries on the causal steps approach one by one. Secondly, we propose a new procedure to analyze mediating effects. The new procedure is better than any single method that constitutes the procedure in terms of Type I error rate and power. The proposed procedure can be conducted by using observed variables and/or latent variables. Mplus programs are supplied for the procedure with observed variables and/or latent variables. Finally, this article introduces the development of mediation models, such as mediation model of ordinal variables, multilevel mediation, multiple mediation, moderated mediation, and mediated moderation.</p>

本研究基于企业吸收能力相关理论，以2007-2015年上市公司的跨界技术并购事件为样本，运用多元回归分析的方法探究了主并企业并购前技术多元化对并购后创新绩效的影响，以及内部研发投入、外部研发合作在二者关系之间的调节作用。研究发现，对于进行跨界技术并购的企业，并购前技术多元化水平对并购后的创新绩效有显著的促进作用；并购后企业内部研发投资、外部研发合作会强化技术多元化对创新绩效的积极影响。此外，主并企业所处行业的技术进步速度加强了研发投入、研发合作对技术多元化与创新绩效二者关系的调节效应。