Trademarks’ relatedness to product and service innovation: A branding strategy approach

The use of trademark data in innovation studies is still limited because as yet no guidelines exist to ascertain which trademarks relate to innovation. This paper proposes that a branding strategy approach may help to identify innovation related trademarks. Companies use distinctive branding strategies for innovation and these branding strategies have important consequences for the design of new trademarks and their application scope. Based on a sample of Benelux and Community trademarks, we find that trademarks for brand creation relate more often to product innovation. In addition, we find negative effects of a trademark’s industry scope on its relatedness to product innovation, and of a trademark’s geographic scope on its relatedness to service innovation. Our findings bear several key implications for further research towards identifying innovation-related trademarks from a branding strategy perspective.     

A new approach to H∞ filtering for linear time-delay systems

This paper proposes a class of $H_{\infty }$ filter design for continue-time systems with time-varying delay. Firstly, by exploiting a new Lyapunov function and using the convexity property of the matrix inequality, some delay-dependent stability conditions can be obtained for the asymptotical stability of the filtering-error system, which can lead to much less conservative analysis results. Secondly, based on the obtained conditions, the filter parameter matrixes can be obtained in terms of linear matrix inequalities (LMIs). Finally, two examples are given to demonstrate the effectiveness and the merit of the proposed method.     

Center established at CAS for innovation research

The inaugural meeting for the CAS Center for Innovation and Development (CID) was held on 14 February in Beijing. Vice Chairman of the National Development and Reform Commission (NDRC) ZHANG Xiaoqiang and Member of     

Information management for innovation networks—an empirical study on the “who,what and how” in networked innovation

Innovation networks are vital in advancing new product and service development. Particularly for small and medium-sized enterprises, partnering within innovation networks allows to enlarge innovation capabilities and to reach new markets. In order to create effective innovation networks, however, firms are required to adapt to the network. To do so, they must overcome three principal challenges: they need to build partnerships, integrate the partners’ value contributions, and coordinate innovation processes. We followed three innovation networks over a three-year period and examined how they successfully used information systems (IS) to respond to these challenges. On the basis of their experiences we identify IS categories and measures that support setting up an information management for networked innovation. We explicate relevant tasks for managing the aspects of “who, what and how” in networked innovation.     

Exploring IT-enabled innovation: A new paradigm?

Innovation is a major strategic issue for many organizations. This paper reports on findings from 10 case studies of successful IT-enabled innovation covering a wide range of organizations and projects. They were carried out as an exploratory study to identify practices that contribute to innovation and specifically consider the implications of a focus on innovation for earlier work on benefits-led approaches to IT.     

New approach for predicting protein-protein interactions

CAS scientists successfully develop a new method of theoretical prediction on protein-protein interactions simply based on sequence information.     

Regulating global capitalism amid rampant corporate wrongdoing—Reply to “Three frames for innovation policy”

Despite progress in science and technology and the economic prosperity achieved by numerous countries over the past century, contemporary global capitalism has left us with severe grand challenges for the future including rising inequality, global warming, modern slavery, child labor and several other human rights struggles. How can we fix them? For many years, scholars and policy makers alike have believed that economic growth (fueled by innovation) would fix institutional failures and lift people out of human misery. We now know that this story creaks. I would suggest that the current grand challenges are related in a non-trivial way to companies’ wrongful business conduct, especially that of large multinational corporations which have grown to rival governments in size, and have proven to be powerful agents capable of shaping the global governance agenda. I challenge technological determinism and ‘transformative change’ frameworks by arguing that the regulation of global capitalism needs to put powerful private actors at center stage since neglecting them will give rise to yet another generation of dysfunctional development and innovation policies.     

A case analysis of managing “Maverick” innovation units

This case study illustrates the issues that arise when a separate “maverick” business unit focusing on developing a new and disruptive innovation is spun off from the parent company. Companies in the high technology manufacturing and development sector have to continually innovate in order to survive and grow in increasingly turbulent and competitive markets. It is common practice for the parent company to spin off separate business units that can incubate and capitalise on the development of new technological innovations in order to grow and create new markets. The case analysis underlines the problems that arise when ICT systems and operational processes are not strategically aligned and imposed by the parent company. It also demonstrates how innovative business units can harness their unique talents and apply them to solving operational problems. By developing a new bespoke system aligned with the maverick unit’s emergent processes, the maverick business unit was pulled back from the brink of disaster to a successful and profitable business unit.     

How does openness affect the importance of incentives for innovation?

When firms open up to external resources for innovation, do internal incentives still matter? This paper investigates the moderating effect of open innovation on the relationship between incentives and innovation using a survey database of British firms. Whilst both openness and incentives are positively associated with innovation efficiency, a substitution effect is found between openness and incentives. Whilst long-term incentives appear to enhance efficiency to a greater extent than short-term incentives, the substitution effect of openness is stronger regarding long-term incentives.     

Research center for a new approach of TCM

It is recognized that modern Western medicine (MWM) is largely allopathic and evidence-based,while traditional Chinese medicine (TCM) has its origin in the ancient Taoist     

Switching PDC control for discrete-time T–S fuzzy system: A membership function ranking approach

In this paper, a new type of switched parallel distributed compensation (PDC) controller is presented, in which a novel switching scheme, namely, membership function ranking (MFR) scheme is proposed. The MFR scheme can be viewed as an improvement and extension of previous results named largest membership function (LMF) scheme concerned with piece-wise quadratic Lyapunov function (PQLF) approach, since it provides a denser subdivision of normalized membership function space and therefore essentially yields less conservative results. Moreover, it shows that MFR scheme covers LMF scheme as a particular case. Based on MFR scheme, a family of _?∞${\mathbf{?}}_{\infty }$ controllers and a switching scheme is designed to ensure the closed-loop system asymptotically stable and has a required _?∞${\mathbf{?}}_{\infty }$ performance. A design example is presented to illustrate the advantages of MFR scheme.     

Do policy mix characteristics matter for low-carbon innovation? A survey-based exploration of renewable power generation technologies in Germany

Policy mixes may play a crucial role in redirecting and accelerating innovation towards low-carbon solutions, thus addressing a key societal challenge. Towards this end, some argue that the characteristics of such policy mixes matter greatly, yet with little empirical evidence backing up such claims. In this paper we explore this link between policy mix characteristics and low-carbon innovation, using the research case of the transition of the German electricity system towards renewable energy. Our empirical insights are based on an innovation survey administered to German manufacturers of renewable power generation technologies which builds on the Community Innovation Survey. For our purposes we adjusted the survey to better capture companies’ perceptions of policy mixes. Employing a bivariate Tobit model we find evidence that companies’ perceptions regarding the consistency and credibility of the policy mix are positively associated with their innovation expenditures for renewable energies, and this positive link intensifies when considering the mutual interdependence of these policy mix characteristics. In contrast, neither the comprehensiveness of the instrument mix nor the coherence of policy processes were found to be related to innovation expenditures. Overall, these findings suggest that future research on low-carbon and eco-innovation should pay greater attention to the characteristics of policy mixes, rather than focusing on policy instruments only. Finally, our findings indicate a need to consider how policy may be measured in innovation surveys to generate better informed policy advice regarding the greening of innovation.     

The Shanghai Institute for Advanced Studies——A New Type of Science Academy

The Shanghai Institute for Advanced Studies is committed to the outlined goals of the older science academies, but is also trying to look beyond them to find its own course.     

Karcı summarization: A simple and effective approach for automatic text summarization using Karcı entropy

Increases in the amount of text resources available via the Internet has amplified the need for automated document summarizing tools. However, further efforts are needed in order to improve the quality of the existing summarization tools currently available. The current study proposes Karcı Summarization, a novel methodology for extractive, generic summarization of text documents. Karcı Entropy was used for the first time in a document summarization method within a unique approach. An important feature of the proposed system is that it does not require any kind of information source or training data. At the stage of presenting the input text, a tool for text processing was introduced; known as KUSH (named after its authors; Karcı, Uçkan, Seyyarer, and Hark), and is used to protect semantic consistency between sentences. The Karcı Entropy-based solution chooses the most effective, generic and most informational sentences within a paragraph or unit of text. Experimentation with the Karcı Summarization approach was tested using open-access document text (Document Understanding Conference; DUC-2002, DUC-2004) datasets. Performance achievement of the Karcı Summarization approach was calculated using metrics known as Recall-Oriented Understudy for Gisting Evaluation (ROUGE). The experimental results showed that the proposed summarizer outperformed all current state-of-the-art methods in terms of 200-word summaries in the metrics of ROUGE-1, ROUGE-2, ROUGE-L, and ROUGE-W-1.2. In addition, the proposed summarizer outperformed the nearest competitive summarizers by a factor of 6.4% for ROUGE-1 Recall on the DUC-2002 dataset. These results demonstrate that Karcı Summarization is a promising technique and it is therefore expected to attract interest from researchers in the field. Our approach was shown to have a high potential for adoptability. Moreover, the method was assessed as quite insensitive to disorderly and missing texts due to its KUSH text processing module.     

Evolutionary approaches for sustainable innovation policies: From niche to paradigm?

Fostering technological innovation is considered as an important element of policies towards sustainable development. In the past 10 years, evolutionary policy approaches have been increasingly advocated. For several reasons, they seem well equipped to underpin sustainable innovation policies. They focus on dynamics of change and their drivers, they allow for a substantive perspective on technologies beyond mere input-output relations, taking into account trajectories and different characteristics of innovation, and they are able to describe circumstances under which established technologies might persist even when they are to some extent inferior to their new competitors (lock-in). However, the policy effectiveness of evolutionary approaches in cases in which radical or systemic changes are involved is not yet proven. In this paper we assess the theoretical rationale, instrumental aspects and the coping with policy constraints of three evolutionary policy approaches which have also been used in empirical studies: strategic niche management, transition management and time strategies. Each approach has its strengths and specific problems and all three have to be further developed and tested out but they hold promise for contributing to non-incremental change with economic and environmental benefits, by shaping processes of variation, selection and retention, with the outcomes feeding back into policy. They may also be used in other areas in which innovation direction is important, for instance health care or food.     

Application of overlapping technique in selection of scientific journals for a particular discipline — methodological approach

A general approach to the selection of scientific journals in a particular discipline is proposed. The procedure is based on multiplicity principle; amalgamation of various methods for journal selection includes a number of data sources of different types: of international and regional origin. By application of overlapping technique combined with the ranking of the data sources according to their relative weights, the lists of nucleus journals for specific disciplines can be provided. The model operates without journal ranking.     

Leader–follower decentralized optimal control for large population hexarotors with tilted propellers: A Stackelberg game approach

In this paper, we consider leader–follower decentralized optimal control for a hexarotor group with one leader and large population followers. Our hexarotor is modeled based on the quaternion framework to resolve singularity of the rotation matrix represented by Euler angles, and has 6-DoF due to six tilted propellers, which allows to control its translation and attitude simultaneously. In our problem setup, the leader hexarotor is coupled with the follower hexarotors through the followers’ average behavior (mean field), and the followers are coupled with each other through their average behavior and the leader’s arbitrary control. By using the mean field Stackelberg game framework, we obtain a set of decentralized optimal controls for the leader and N follower hexarotors when N is arbitrarily large, where each control is a function of its local information. We show that the corresponding decentralized optimal controls constitute an ϵ-Stackelberg equilibrium for the leader and N followers, where ϵ → 0 as N → ∞. Through simulations with two different operating scenarios, we show that the leader–follower hexarotors follow their desired position and attitude references, and the followers are controlled by the leader while effectively tracking their approximated average behavior. Furthermore, we show the nonsingularity and 6-DoF control performance of the leader–follower hexarotor group due to the novel modeling technique of the hexarotor presented in the paper.     

Tran-Switch: A transfer learning approach for sentence level cross-genre author profiling on code-switched English–RomanUrdu Text

Cross-genre author profiling aims to build generalized models for predicting profile traits of authors that can be helpful across different text genres for computer forensics, marketing, and other applications. The cross-genre author profiling task becomes challenging when dealing with low-resourced languages due to the lack of availability of standard corpora and methods. The task becomes even more challenging when the data is code-switched, which is informal and unstructured. In previous studies, the problem of cross-genre author profiling has been mainly explored for mono-lingual texts in highly resourced languages (English, Spanish, etc.). However, it has not been thoroughly explored for the code-switched text which is widely used for communication over social media. To fulfill this gap, we propose a transfer learning-based solution for the cross-genre author profiling task on code-switched (English–RomanUrdu) text using three widely known genres, Facebook comments/posts, Tweets, and SMS messages. In this article, firstly, we experimented with the traditional machine learning, deep learning and pre-trained transfer learning models (MBERT, XLMRoBERTa, ULMFiT, and XLNET) for the same-genre and cross-genre gender identification task. We then propose a novel Trans-Switch approach that focuses on the code-switching nature of the text and trains on specialized language models. In addition, we developed three RomanUrdu to English translated corpora to study the impact of translation on author profiling tasks. The results show that the proposed Trans-Switch model outperforms the baseline deep learning and pre-trained transfer learning models for cross-genre author profiling task on code-switched text. Further, the experimentation also shows that the translation of RomanUrdu text does not improve results.     

Which types of knowledge-intensive business services firms collaborate with universities for innovation?

Drawing on data from an original survey of UK and US publicly traded knowledge-intensive business services (KIBS) firms, we investigate what types of KIBS firms collaborate with universities and consider the collaboration important for their innovation. First, we find that science-based KIBS firms (those engaged in a science, technology, and innovation [STI] mode of organizational learning), like science-based manufacturing firms, are active collaborators with universities for innovation. This relationship is further enhanced if these firms also provide highly customized services. Second, in contrast to the existing literature suggesting that firms engaged in a doing, using, and interacting (DUI) mode of organizational learning do not regard collaboration with universities as important for their innovation, we find that KIBS firms engaged in a DUI mode of organizational learning and offering highly customized services are active collaborators with universities for innovation, despite the fact that they may not possess highly formalized scientific knowledge. These findings suggest that KIBS firms co-create knowledge with universities differently than manufacturing firms. Moreover, the findings highlight the wide variety of roles that KIBS firms play in innovation networks with universities.