突破性技术创新研究:现状与展望——基于SSCI和CSSCI期刊的文献计量分析

突破性技术创新是中国落实创新驱动、绿色发展、提升关键核心技术创新能力等多个国家战略的重要路径。本文采用文献计量方法和知识图谱工具,以2001—2018年发表于SSCI和CSSCI期刊的765篇文献为研究样本,从多个视角系统揭示国内外突破性技术创新研究的现状,并对未来研究方向进行展望。主要研究结论是:近18年国内外突破性技术创新研究发文量总体呈逐年上升趋势,国内研究与国外相比起步较晚且持续热度较低、对外合作研究较少且国际影响力不足;突破性技术创新研究遵循的理论基础主要是社会网络理论、动态资源管理理论和组织学习理论;突破性技术创新研究的热点主要集中于技术、组织、资源和财务四个方面,与市场发展问题相关的研究是薄弱环节。进一步从创新主体、创新变轨、研究层次和研究主题四个方面归纳了突破性技术创新研究热点的演化规律和存在问题。突破性技术创新的市场风险、跨国合作战略、大数据赋能和绿色导向会成为未来突破性技术创新研究的主攻方向。     

Analysis of the effect of charging infrastructure design on electric taxi driving profiles: A case study approach on the example of Singapore

Replacing conventional vehicle taxis with electric vehicles would be an efficient measure to reduce greenhouse gas emissions. Due to the limited range and long charging times of current battery electric vehicles, it is of utmost importance to provide sufficient charging facilities. This article analyses the impact of the placement and charging power of charging stations on potential mileage and revenue of electric taxis on the example of Singapore. Therefore, we developed an agent-based electric taxi simulation model to investigate electric taxis’ driving profiles with respect to different vehicle types and charging infrastructure designs. This model is also capable of simulating conventional taxi driving profiles. The validation of these simulation results with real taxi data showed that the model is reproducing taxi driving profiles with high accuracy in great detail. We found out that electric taxis could reach the same mileage and revenue as conventional taxis if charging with a power of 160?kW is possible. Furthermore, we discovered that waiting times for available charging stations have a stronger effect on revenue than the length of detours to reach charging stations. Based on these findings, we concluded that it is more important to reduce waiting times by placing sufficient numbers of charging stations at each location before expanding the charging network by installing small numbers of charging stations at many locations.     

组织间学习与绿色创新:绿色吸收能力的调节作用

尽管组织间学习已经获得较多关注,但鲜有研究探讨它对绿色创新的影响。从组织间关系和双元性理论视角,提出了组织间的纵向利用式学习和横向探索式学习,基于组织学习理论和吸收能力理论,探究了两种组织间学习方式与绿色创新的关系,并检验了绿色吸收能力的调节作用。基于203家中国制造企业的调查数据,实证结果表明:纵向利用式学习和横向探索式学习都能显著正向影响绿色创新;相比横向探索式学习,纵向利用式学习对绿色创新的影响作用更强。绿色吸收能力在横向探索式学习与绿色创新之间也起调节作用,但它并不调节纵向利用式学习与绿色创新的关系。研究提出了不同的组织间学习方法与绿色创新的关系,丰富并拓展了绿色创新的相关研究。     

Turning green subsidies into sustainability: How green process innovation improves firms' green image

Green process innovation has been seen as a key strategy for manufacturing firms to pursue sustainable development. Yet, how to help manufacturing firms eliminate bottlenecks when implementing green process innovation remains poorly understood. To address this issue, the current study, which is anchored in the government incentive perspective, examines the drivers, contingent conditions, and consequences of green process innovation by using the panel data of manufacturing‐listed firms in China from 2013 to 2017. The results present valuable findings: (a) green subsidies are positively related to two dimensions of green process innovation, namely, cleaner production technology and end‐of‐pipe technology; (b) both cleaner production technology and end‐of‐pipe technology are positively related to firms' green image; (c) a firm's cleaner production technology mediates the relationship between green subsidies and its green image; and (d) higher absorptive capacity strengthens the indirect effect of green subsidies on a firm's green image via cleaner production technology. Our results provide meaningful theoretical and practical implications by revealing the benefits of green subsidies through green process innovation by leveraging levels of absorptive capacity.     

How to win the consumer’s heart? Exploring appraisal determinants of consumer pre-consumption emotions

Emotions are key drivers of consumption in the tourism and hospitality sector. Therefore, advancing our understanding of the determinants of consumer emotions is critical for tourism and hospitality marketers to effectively influence consumer affect-driven consumption behavior. However, research on the determinants of pre-consumption emotions remains under-explored. This study aims to fill the research gap and proposes a theoretical framework to explain affect-driven behavior. Grounded on the cognitive appraisal theory of emotions, we hypothesize that marketing stimuli are personally appraised based on several dimensions such as novelty and goal relevance. These appraisal dimensions determine the elicitation of positive emotions, leading to behavioral intentions. A total of 655 participants were recruited for an empirical study to test this framework in the context of a tourism event experience. We use an experimental research design to examine consumer appraisals, emotions and behavioral intentions in four conditions: two marketing visual formats (poster vs. video) over two delivery channels (advertising vs. e-word-of-mouth). Research outcomes support the theoretical framework of consumer affect-driven behavior, suggesting that the elicitation of positive emotions beneficially guides consumer behavior in goal striving and novelty seeking. Based on this, emotion-focused marketing implications are recommended, including goal-based segmentation, goal-relevant content development and the use of eWOM as an emotion-enhancing message delivery channel.     

Microfoundations of companies' dynamic capabilities for environmentally sustainable innovation: Case study insights from high‐tech innovation in science‐based companies

To achieve sustainable development, companies are increasingly putting an emphasis on the creation and the promotion of environmentally sustainable innovations. Environmentally sustainable innovation often involves a significant shift in a new strategic direction. This paper studies this shift from a dynamic capabilities perspective and aims to identify the microfoundations of science‐based companies' dynamic capabilities for high‐tech environmentally sustainable innovations. It investigates the development of high‐tech environmentally sustainable innovations in two distinctive science‐based companies. To scholars, this study provides an in‐depth process analysis, over time, of how and why microfoundations of dynamic capabilities influence the development of a science‐based company's high‐tech environmentally sustainable innovations. To practitioners in science‐based firms, this process study can function as a frame of reference, enabling the tailoring of a strategy for high‐tech environmentally sustainable innovation.     

When age does not harm innovative behavior and perceptions of competence: Testing interdepartmental collaboration as a social buffer

Can older managers overcome stereotypes relating age to low competence? We integrate the literature on age and cognitive ability with research on innovation to explore whether—and if so, when—employees' age harms performance and promotability appraisals made by their supervisors. Multisource, time‐lag data from 305 project managers indicate that the negative stereotypes can be explained through decreased innovative behavior. However, older employees are not always seen as poorer performers with less potential to be promoted due to their reduced innovative behavior. Rather, interdepartmental collaboration moderates these effects. Specifically, older employees with low interdepartmental collaboration are less innovative and receive worse performance and promotability appraisals than younger employees, but the “age handicap” vanishes when older employees collaborate with members of other departments. Organizations should foster formal or informal collaboration among units to prevent negative consequences of an aging workforce.     

Developing smart service concepts: morphological analysis using a Novelty-Quality map

Among many techniques for generating new service ideas, morphological analysis has been used due to the advantage of decomposing the system into dimensions and shapes and bringing creative results in the process of recombining them. However, with the rise of smart service systems, the determination of dimensions and shapes has become a critical problem, particularly as both their structure and components become complex. This research focuses on a data-driven approach by incorporating mobile app service documents to increase objectivity and diversity in the construction of a morphology matrix. To this end, firstly, the novelty-quality map is developed to identify innovative data based on quantitative indicators. Secondly, morphological analysis is employed along with experts’ judgment in order to generate new smart service concepts. Finally, the feasibility and effectiveness of the proposed approach are shown based on a comparative analysis with conventional approaches and real services through a case study of smart home.