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The concept of the smart city has been created in response to the increasing numbers of people living in cities. Just as the development of technology has evolved rapidly, smart life has also emerged. The goal of the smart city is one day to enable all affairs of daily life to be completed with the single touch of a finger through cutting-edge technology. New and innovative information must be applied effectively to the industry. With the industrial revolution, propelled by the Internet of Things (IoT), big data and the cloud platform have birthed the “smart city,” integrating the IoT and the cloud through mobile devices and applying technology to fields like logistics, finance, healthcare, recreation, surveillance, and traffic transportation, thus providing people with greater well-being and convenience. Following the era of the big data knowledge economy, the IoT has become an important pillar of national economic development. The IoT is expected to provide substantial support for continued and sustainable development of the smart city. Therefore, effective use of the IoT has become an important topic in smart city development. The purpose of this paper is to build a conceptual framework of service innovation, relying on the smart city case of Taiwan. Based on a literature review, in-depth interviews, and case interviews, the proposed conceptual framework of IoT is rooted in the market, policy, and technical aspects. It incorporates eight steps: composition of the project team, service idea generation, service idea screening, development concept selection, design and development, service testing, commercialization, and service quality, to generate new service value and thereby create customer satisfaction. In fact, the IoT is designed to support the smart city vision; thus, this paper describes the various innovation modes of the smart city. Furthermore, the paper presents and discusses the technical solutions and best-practice guidelines adopted in the Taiwan Smart City project. Finally, it discusses the meaning and future research direction of the smart city through the use of the IoT. With wave after wave of digital development civilizing the city's evolution and with the phenomenon of Internet access through mobile phones for each person, the smart city of human factors is clearly coming. [ABSTRACT FROM AUTHOR]

The purpose of this study is to investigate the moderating roles of the attributes and transfer mechanisms of knowledge in the relationship between organisational capabilities and innovation and economic performance. Regression analysis on a sample of 120 Taiwanese firms was used to test our model. The findings suggest that the organisational capabilities of exploration and exploitation are positively related to innovation and economic performance. The effect of exploration on performance is positively moderated by tacit knowledge and adaptation knowledge transfer mechanisms. In contrast, exploitation is a stronger predictor of performance when organisations acquire well-defined knowledge and use replication knowledge transfer mechanisms. [ABSTRACT FROM AUTHOR]

The relationship between team diversity and new product performance is often assumed to be linear. This assumption has been challenged conceptually and empirically, but results to date have been inconsistent. This study examines this issue based on behavioral theory and social identity theory. The empirical results generally supported our expectations of the inverse U-shaped relationship between team diversity and new product performance. We also hypothesized and found that organizational slack moderated the curvilinear relationship between team diversity and new product performance. A questionnaire survey on 118 new product development projects in Taiwanese firms is collected to test the hypotheses. We conclude by discussing the managerial implications of these findings for the use of team composition to the new product projects in personnel selection. [ABSTRACT FROM PUBLISHER]

Purpose – This study aims to investigate the relationship between knowledge management capacity and organizational performance from the social interaction perspective. Design/methodology/approach – The empirical study employs a questionnaire approach. The sample for this study is drawn from the population of the top 5,000 Taiwanese firms listed in the yearbook published by the China Credit Information Service Incorporation. Regression analysis is used to test the hypotheses in a sample of 105 Taiwanese firms. Findings – The findings suggest that two assessments of knowledge management capacity, knowledge acquisition and dissemination, and the communication factor of social interaction are positively related to organizational performance. Further, social interaction has complementary or synergistic interaction effects with knowledge management capacity on organizational performance. Practical implications – Given the need for the use of knowledge management capacity as an enabler to improve organization outcome, firms need to be aware that social interaction would moderate the link between knowledge management capacity and organizational performance. Therefore, firms should pay special attention to formulate appropriate social interaction conditions under which knowledge acquisition and dissemination are most likely to enhance organizational performance. Originality/value – This study contributes to the literature by theoretically developing a conceptual model and then empirically examining the relationships among knowledge management capacity, social interaction, and organizational performance. [ABSTRACT FROM AUTHOR]

Patent technology requirement evaluation and recommendation are critical for patent strategy, patent management, and patent usage in an organization. This paper proposes a patent technology evaluation and recommendation agent based on a soft-computing approach to enhance patent expansibility and technology transfer. First, we investigate the relationship between patent technology and patent owners, such as academic institutes or organizations, and integrate the collected patent data with the characteristics of organizations to establish a popular patent ontology for general academic institutes or organizations. Then, the patent's suitability for a specific organization is determined based on concepts extracted using Chinese Knowledge Information Processing. Next, we refer to the Japan Patent Office evaluation index and intellectual property quotient to describe the knowledge base and rule base of the patent quality evaluation agent by using fuzzy markup language (FML). A comprehensive patent quality evaluation mechanism is implemented, and the genetic algorithm is adopted to improve the performance of the proposed agent. Additionally, the patent requirement level evaluation mechanism infers the patent requirement level according to the basic information of an organization. Finally, we present a novel FML-based patent requirement recommendation agent to recommend a patent for an organization by considering the suitability of the patent technology for such an organization, the results of the comprehensive patent quality evaluation process, and the results of the evaluation of the demander's patent requirements. According to the results, the proposed agent is feasible for patent recommendation. In the future, we will combine an intelligent robot with the GFML agent to assist humans or organizations in recommending an appropriate patent. [ABSTRACT FROM AUTHOR]

This article examines the effect of technological diversity, knowledge flow and capacity on industrial innovation performance. We suggest that there is an inverse U-shaped relationship between technological diversity and industrial innovation performance. Moreover, knowledge flow and knowledge capacity are hypothesised as negatively moderating the effect of technological diversity on industrial innovation performance. We use negative binomial regression to test the hypotheses in a panel data of 360 industry-year cases and the findings support our prediction. Managerial implications and future research directions are discussed. [ABSTRACT FROM AUTHOR]

The purpose of this paper is to clarify the concept of dynamic capabilities from the knowledge-based perspective, including knowledge relatedness and knowledge learning, and to investigate the dynamic capabilities on innovation performance in joint venture. Negative binomial regression is used to test the hypotheses in a panel data of 183 joint venture cases. Significant relationships are found between dynamic capabilities and innovation performance. Moreover, the moderating roles of parent patents granted before, parent knowledge diversity and joint venture knowledge diversity are recognised and are hypothesised as positively moderating the effect of knowledge relatedness on innovation performance, but parent patents granted before and joint venture knowledge diversity are hypothesised as negatively tending to moderate the effect of knowledge learning on innovation performance. The findings support our prediction and policy implications are discussed. [ABSTRACT FROM PUBLISHER]