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The purpose of constructing the technology/function matrix is to analyze the patents in the target domain. The extraction of technology words is an important part of the construction of technology/function matrix. This algorithm is used to solve the problem of low efficiency of traditional Chinese process patents technology words extraction.

The authors propose a Chinese process patents technology words extraction method based on the improved term frequency–inverse document frequency (TF-IDF) algorithm to help technicians obtain the technology words in the target domain. According to the characteristics of Chinese process patents technology words, the TF value of candidate technology words is divided into four parts, and the corpus of IDF value calculation of candidate technology words is selected.

Through the test of Chinese process patents in the domain of path planning, this study shows that the method is feasible and practical. It can help users quickly and accurately obtain the technology words of Chinese process patents in the target domain.

With the increasing number of patents on the network-based patent information platform, patent analysis of massive Chinese process patents has become a research focus. The method proposed in this paper can facilitate users to extract technology words from massive Chinese process patents for patent analysis.

This paper aims to improve the efficiency of Chinese process patents technology words extraction. The authors hope that the proposed method can reduce the labor and time cost of Chinese process patents technology words extraction.

Science and technology policy plays an important role in promoting the development of economic and social development in China. At present, the research on science and technology policy is mainly focused on the basic theories and some quantitative research. The analyses for contents of massive science and technology policies are relatively less. This paper makes use of semantic technologies to extract and analyze the relatively important information from massive science and technology policies. The purpose of this paper is to facilitate users to quickly and effectively obtain valuable information from the massive science and technology policies. The key methods and study results are presented in the paper. The study results can provide references for further study and application in China.

The paper presented the analysis model and method for science and technology policy in China. The terms and sentences are the important information in the science and technology policy. The study adopted the technology of natural language processing to analyze the linguistics characteristics of terms and combined with statistical analyses to extract the terms from Chinese science and technology policy. Then, the authors designed an algorithm, calculated and analyzed the important sentences in Chinese science and technology policies. The experiments were run on the Java test platform.

This paper put forward the analysis model and method for science and technology policy in China. The study obtained the following conclusions: term extraction of science and technology policy: the paper analyzed characteristic of terms in Chinese science and technology policy and designed a method of extracting a term that was suitable for the science and technology policy. The calculation of important sentences for science and technology policy: the paper designed an algorithm and calculated the importance of the sentences to obtain valuable information from the massive science and technology policies.

In our methods, there are some defects to be improved or solved in the future. For example, the precision of algorithm needs to be improved. The significance of this paper is to propose and use the analysis model to process Chinese science and technology policy; we can provide an auxiliary tool to help policy beneficiaries. Enterprises and individuals can be more effective to extraction and mining information from massive science and technology policy and find the target policy.

To verify the effectiveness of the method, the paper selected the real policies about the new energy vehicles as experimental data; at the same time, the paper added uncorrelated policies. It used the proposed analysis model of science and technology policy to calculate and find out the relatively important sentences. The results of study showed that the proposed method can obtain better performance. It verified the validity of this method. The model and method have been applied to actual retrieval system.

The proposed model and method in the paper have been applied to actual retrieval system for users.

The paper proposed the new analysis model and method to analyze science and technology policies in China. The presented model and method are a new attempt. According to the experimental results, this exploration and study are valuable. In addition, the idea and method will give a good start for improving information services of massive science and technology policies in China.

The changing technological landscape has brought about new forms of groups and grouping that span across computing and communication devices, space, time, institutions, cultures, realities (physical, virtual, and augmented), and intelligence (natural and artificial intelligence). This chapter utilizes a series of publication and keyword analyses to identify trends in group and technology research in the fields of communication, management, and computer-supported cooperative work (CSCW) between 2008 and 2019. The results reveal prominent research areas, and recent shifts and emergent questions in the study of groups and technology, highlighting a complex entanglement of technology with collaborative social practices. The chapter concludes with a discussion of novel key areas and trends suggested by the analyses, with the goal of contributing toward a research agenda for future study of groups and technology.

This chapter presents “what we know” about the application of technology to instruction for students with learning and behavioral disabilities. Information is presented on research-based effective practices in technological interventions for teaching specific academic skills, delivering content at the secondary level and using technology as a tool for assessment. The chapter concludes with a discussion on Universal Design for Learning and the promises this paradigm holds for educating not only students with special needs, but all learners. The chapter begins where parents and teachers typically begin: the consideration of technology.

The study applies a multimodal approach to position aesthetic innovation, i.e., the strategic use of aesthetic design attributes, such as color and shape, as an institutionalized aspect of competition, rather than as a firm-specific differentiation strategy, in settings that favor the symbolic meanings of products. Empirically, the study offers a detailed case study of the personal computer (PC) industry to examine the institutionalization of aesthetic innovation as a dimension of competition across industrial firms. The study examines the color and shape of PCs over the 1992–2003 period and situates changes to these attributes in the competitive conditions that characterized the industry, paying particular attention to the introduction of the Apple iMac in 1998. Furthermore, it examines the discursive manifestations of aesthetic innovation by content analysis of reviews of PCs and interviews with industry executives. Findings demonstrate that, in a period coinciding with a decline in demand for PCs and an overall mature market as well as with the introduction of the iMac, the majority of firms engaged in aesthetic innovation and used a greater number of aesthetic words in describing their PCs.

The chapters in this book focus on using different types of multimodal, multimedia, and transmedia technologies to create technology-rich learning environments that have the potential to enable higher levels of academic motivation, participation, and engagement. Developments in relatively low cost and abundant digital technologies, coupled with the improvements in contemporary learning theories and pedagogical practices, are quickly enhancing and transforming the way we teach and learn in the 21st century and changing our understanding of what it means to teach and learn in a highly web-based multimedia world. At the individual, group, and institutional levels, these technologies are being used in a variety of ways for a variety of purposes. In teaching and learning, they offer promising and innovative ways to create more interesting and enjoyable academic environments and offer more meaningful and authentic ways to better engage the senses of learners. Mayer (1997) states that multimedia-based teaching and learning offers many benefits to educators (e.g., a variety of instructional options, more effective learning, and more efficient use of instructor time especially for very large classes). This is based on the core multimedia principle posited by Mayer (2005): people tend to learn more deeply with both words and images than from words alone.

The office as we know it is gradually being changed as more electronic applications are introduced. To a large extent, information technology based on micro‐electronics is used today to carry out specific tasks in more efficient ways while largely disregarding or failing to cope with the overall effectivenes of an organization. Short‐term tactical productivity gains take priority over long‐term strategic development. Rationalistic and reductionistic procedures take priority over emotional, creative, judgement‐centered activities. Quantitative evaluation takes precedence over qualitative. Employee initiative is expropriated by the technology, leaving the operator little discretion in his or her task and a limited need for training and education to operate the devices.

The purpose of this article is to provide an empirical basis for understanding how the cultural artifacts of space and technology enhance the creation of knowledge that leads to innovations.

The paper initially provides a theoretical investigation identifying the research gap within the literature. Then, it follows an empirical research of the aforementioned gap. Findings derive from the content analysis of 13 in‐depth interviews taken from a creative organization in the UK.

Explains the different ways that organizational space and technology enhance the production of knowledge that transforms into an innovation.

The research findings are limited in a small size creative organization from the UK. Thus, findings can be further tested within big corporate organizations and organizations located outside the UK.

Senior managers through this study can use the cultural artifacts of organizational space and technology in order to advance their organizations' ability to construct innovations.

This paper provides numerous findings illustrating how a successful creative organization links the cultural artifacts of physical space and technology with the creation of knowledge in the form of innovative interior and graphic design. This is a different aspect from the traditional approach that examines the creation of knowledge without answering how and why it occurs in a specific way, within an organization.

The usefulness of the literature is questioned in terms of influencing and transmitting leadership behaviour. The limitations of literature as a literary form are exposed. It is shown that leadership can only be experienced and not acted nor emulated in the form of an artificial behaviour. By examining the consumers of leadership literature, it is demonstrated that the providers are satisfying their wants. Any weaknesses in the medium and the failure of developing a leadership technology are acceptable to the consumers. It is shown that identity, technology and leadership are strongly interrelated and that the new form of leadership which is evolving in the emerging era of discontinuous change emphasises identity creation.

This study aims to examine technology adoption practices in Chinese theme parks by leveraging text mining and sentiment analysis approaches on actual theme park customers’ online reviews.

The study text mined a total of 65,518 reviews of 490 Chinese theme parks with the aid of the Python program. Further, it computed sentiment scores of the customer reviews associated with the ratings of each categorized technology practice applied in the theme parks.

The study identified two major categories of technology applications in theme parks: supporting and experiential technologies. Multiple statistical tests confirmed that supporting technologies consisted of three types: intelligent services, ticketing and in-park transportation. Experiential technologies further included five aspects of technologies according to Schmitt’s strategic experiential modules (SEMs): sense, feel, act, think and relate.

The study findings contribute to the current understanding of theme park visitors’ perceptions of technology adoption practices and provide insightful implications for theme park practitioners who intend to invest in high technology solutions to deliver a better customer experience.

通过对游客的在线评论进行文本挖掘和情感分析, 本研究论旨在探索在中国主题公园中科技采用的行为。

本研究运用Python 程序一共挖掘了来自490 中国主题公园的65,518 条评论。本研究进一步计算了在主题公园中与科技运用有关在线评论的情感指数。

本研究发现了在主题公园科技应用的两大主要分类：辅助和体验科技。辅助科技包括三种：智慧服务, 售票, 和园中运输。根据Schmitt 战略体验模块（SEMs): 体验科技进一步包括科技的五大方面：感官, 感觉, 思考, 和联系。

本研究对了解目前主题公园游客对科技使用行为的看法提供了见解, 以及对主题公园有意向投资科技来提高客户体验的从业人员提供了深远意义。