A Derivation of Factors Influencing the Innovation Diffusion of the OpenStreetMap in STEM Education

Shiau, Steven; Huang, Chi Yo; Yang, Chia Lee; Juang, Jer‐Nan

doi:10.3390/su10103447

Cited by 27 publications

(21 citation statements)

References 125 publications

(154 reference statements)

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“…DEMATEL was developed by Gabus and Fontela [50] in the 1970s to construct complex causal relationships among numerous world problems. The graph-theory-based model has been widely used in modelling various decision-making problems, which include the configuration of innovation policy portfolio(s) (e.g., [9]), operations management (e.g., [51,52]), education and learning (e.g., [53][54][55][56]), engineering (e.g., [57]), medical devices (e.g., [58,59]), big data analytics (e.g., [60]) and other social problems (e.g., [61]). Compared with other methods (e.g., the ISM), which can structure decision-making problems based on the existence or non-existence of influence relationships between criteria or aspects, DEMATEL can consider the extent of influences between criteria or aspects.…”

Section: Methodsmentioning

confidence: 99%

A Novel Analytic Framework of Technology Mining Using the Main Path Analysis and the Decision-Making Trial and Evaluation Laboratory-Based Analytic Network Process

et al. 2021

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Tech mining is an analytical method of technology monitoring that can reveal technology trends in different industries. Patent databases are the major sources for information retrieval by tech mining methods. The majority of the commercially viable research and development results in the world can be found in patents. The time and cost of research and development can greatly be reduced if researchers properly analyze patents of prior arts. Appropriate analyses of patents also help firms avoid patent infringement while simultaneously developing new products or services. The main path analysis is a bibliometric method which can be used to derive the most dominant paths in a citation network of patents or academic works and has widely been adopted in tracing the development trajectory of a specific science or technology. Even though main path analysis can derive patent citation relationships and the weight associated with some specific arc of the citation network, the weights associated with patents and influence relationships among patents can hardly be derived based on methods of main path analysis. However, these influence relationships and weight can be crucial for defining research and development and patent aggregation strategies. Thus, the authors want to propose a novel analytic framework which consists of the Decision-Making Trial and Evaluation Laboratory (DEMATEL), the DEMATEL based Analytic Network Process (DANP) and the main path analysis. The proposed analytic framework can be used to derive the influence relationships and influence weights associated with the patents in a main path. Empirical cases based on the main path of a published work and the patent mining results of nanowire field effect transistors from the database of the United States Patent and Trademark Office will be used to demonstrate the feasibility of the proposed analytic framework. The analytic results of empirical research can be used as a basis for infringement evaluation, patent designing around and innovation.

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Section: Methodsmentioning

confidence: 99%

A Novel Analytic Framework of Technology Mining Using the Main Path Analysis and the Decision-Making Trial and Evaluation Laboratory-Based Analytic Network Process

et al. 2021

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“…This graph theory-based method can be adopted to understand the influencing relationships among the criteria of an MCDM problem. In the past decade, the DEMATEL-based analytic framework and hybrid MCDM methods have been extensively implemented to resolve many decision-making problems, which include policy, management (e.g., [80][81][82]), education (e.g., [83][84][85][86]), engineering (e.g., [87]), medical devices (e.g., [88,89]), and other social problems (e.g., [90]).…”

Section: Dematelmentioning

confidence: 99%

A DANP-Based NDEA-MOP Approach to Evaluating the Patent Commercialization Performance of Industry–Academic Collaborations

Huang

Yang

et al. 2021

Mathematics

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The industry–academic collaboration (IAC) in developed and developing countries enables these economies to gain momentum in continuous innovation and, thus, economic growth. Patent commercialization is one major channel of knowledge flow in IAC. However, very few studies consider the flow of knowledge between industrial firms and universities. Moreover, ways that the patent commercialization performance of IACs can be evaluated are rarely discussed. Therefore, defining an analytic framework to evaluate the performance of IAC from the aspect of patent commercialization is critical. Traditionally, data envelopment analysis (DEA) models have widely been adopted in performance evaluation. However, traditional DEA models cannot accurately evaluate the performance of IACs with complex university–industry interconnections, the internal linkages, or linking activities of knowledge-flow within the decision-making units (DMUs), i.e., the IACs. In order to solve the abovementioned problems, this study defines a multiple objective programming (MOP)-based network DEA (NDEA), with weighting derived from the decision-making trial and evaluation laboratory (DEMATEL)-based analytic network process (ANP), or the DANP. The proposed analytic framework can evaluate the efficiency of decision-making units (DMUs) with a network structure (e.g., supply chains, strategic alliances, etc.) based on the weights that have been derived, based on experts’ opinions. An empirical study based on the performance of the patent commercialization of Taiwanese IACs was used to demonstrate the feasibility of the proposed framework. The results of the empirical research can serve as a basis for improving the performance of IAC.

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“…Kelima karakteristik digunakan sebagai kerangka umum karakteristik utama yang menjadi faktor penentu diterimanya sebuah inovasi yaitu relative advantage, compatibility, complexity, trialability, and observability [3]. IDT telah digunakan di berbagai bidang untuk memprediksi bagaimana dan mengapa suatu inovasi akan berhasil, termasuk pendidikan, komunikasi, pemasaran dan teknologi informasi [4]. Teori ini telah banyak digunakan dalam berbagai penelitian dengan tujuan untuk menilai penerapan teknologi informasi dalam organisasi sebagai sumber daya yang mampu meningkatkan efektifitas kerja.…”

Section: Jurnal Pendidikan Dan Teknologi Indonesia (Jpti)unclassified

Analisis Adopsi Inovasi Teknologi Informasi Menggunakan Innovation and Diffusion Theory (IDT) Pada PPDB Online SMKN 3 Gowa

Perdana

Suharni

2021

Jurnal Pendidikan dan Teknologi Indonesia

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SMKN 3 Gowa adalah salah satu sekolah yang sudah menerapkan teknologi informasi. Untuk memudahkan kinerja sekolah dalam pelayanan masyarakat, SMKN 3 Gowa mengadopsi sebuah inovasi proses Penerimaan Peserta Didik Baru (PPDB) secara online. Namun dalam pelaksanaannya masih banyak permasalahan yang dihadapi oleh user baik yang bersifat teknis maupun non teknis. Oleh karena itu, diperlukan evaluasi terhadap penerapan PPDB Online guna mengetahui seberapa baik sistem informasi dapat beroperasi. Penelitian ini bertujuan untuk mengevaluasi pelaksanaan PPDB Online menggunakan Innovation and Diffusion Theory (IDT). Terdapat lima karakteristik yang digunakan sebagai kerangka umum faktor penentu diterimanya sebuah inovasi yaitu relative advantage, compatibility, complexity, trialability, and observability. Berdasarkan analisis yang dilakukan diperoleh informasi bahwa dengan adanya penerapan teknologi informasi PPDB online menjadikan proses pendaftaran dalam menyaring nilai lebih transparan dan terpusat. Namun dalam menerapkan sistem informasi tersebut belum sepenuhnya berjalan dengan baik, masih ada berbagai kendala yang dihadapi di antaranya infrastruktur jaringan internet yang kurang memadai, kurangnya pengenalan dan pelatihan secara insentif dan kurang memperhatikan kebutuhan penggunaan terhadap sistem tersebut.

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A Derivation of Factors Influencing the Innovation Diffusion of the OpenStreetMap in STEM Education

Cited by 27 publications

References 125 publications

A Novel Analytic Framework of Technology Mining Using the Main Path Analysis and the Decision-Making Trial and Evaluation Laboratory-Based Analytic Network Process

A Novel Analytic Framework of Technology Mining Using the Main Path Analysis and the Decision-Making Trial and Evaluation Laboratory-Based Analytic Network Process

A DANP-Based NDEA-MOP Approach to Evaluating the Patent Commercialization Performance of Industry–Academic Collaborations

Analisis Adopsi Inovasi Teknologi Informasi Menggunakan Innovation and Diffusion Theory (IDT) Pada PPDB Online SMKN 3 Gowa

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