Precursors of intellectual property rights enforcement in East and Southeast Asia

Liu, Yuwen; Liang, Chin Chia; Phillips, Fred

doi:10.1016/j.indmarman.2020.06.013

Cited by 5 publications

(4 citation statements)

References 43 publications

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“…Except for GE, the results demonstrate that practically all IPR variables are significantly linked with IT of ASEAN+5. Previous researches flow of Agung & Ngurah, (2020); Curtis, (2012); Davoudi et al, (2018); Doanh & Heo, (2007); Liu et al, (2020) ;Merges, (1996); Plasmans & Tan, (2005) also demonstrated a substantial association between IPR and IT. In particular, IDA_NR had the highest positive coefficient values among all IPR variables in this analysis, implying that a 1% increase in industrial design applications, non-resident corresponds to a 0.07% rise in ASEAN+5's IT growth.…”

Section: Resultsmentioning

confidence: 82%

“…As international trade previously had been studied along with IPR by many researchers and mostly the findings proved a significant positive relationship between trade and IPR as nations with stronger IPR have the edge to increase the trade flow (Agung & Ngurah, 2020;Curtis, 2012;Davoudi et al, 2018;Doanh & Heo, 2007;Liu et al, 2020;Merges, 1996;Plasmans & Tan, 2005). The positive impact of IPRs was strongest in less-developed countries, as well as larger countries and those with a higher degree of imitative ability (Foster, 2014).…”

Section: Empirical Findingsmentioning

confidence: 98%

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The Influence of Intellectual Property Rights (IPR) on Asean+5’s International Trade (IT)

Manickam,

Idris,

Nipo

2024

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In accordance with the ASEAN IPR Action Plan 2016-2025, this study explores the connections and causality of Intellectual Property Rights (IPR) on international trade (IT) of ASEAN+5 countries represented by Malaysia, Thailand, the Philippines, Singapore, and Indonesia. According to this, international trade is measured in terms of trade (as a percentage of GDP). IPR is measured by patent applications filed by residents, patent applications filed by non-residents, industrial design applications filed by residents, and industrial design applications filed by non-residents. Along with IPR, the effect of government effectiveness (GE) on IT is also investigated. Foreign direct investment (FDI) and inflation are also utilized as control variables. This study adopts new growth theory as to further explain the variables involved. All ASEAN+5 data for the individual variables were derived from the World Bank Development database, and the panel dataset was investigated using the PFGLS estimator and Dumitrescu-Hurlin test for over 21-years period (2000-2020). The findings of this study revealed a strong effect between IPR and IT as well as a unidirectional relationship between IPR (except industrial design application, filed by residents) and IT for the ASEAN+5 region. The limitation of this study is that it only focused on five ASEAN countries, and the selection of IPR indicators was limited. Nevertheless, this study provides some important insights for policymakers and local merchants to focus and invest more on IPR in order to promote ASEAN's international trade in accordance with global norms.

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Section: Resultsmentioning

confidence: 82%

Section: Empirical Findingsmentioning

confidence: 98%

The Influence of Intellectual Property Rights (IPR) on Asean+5’s International Trade (IT)

Manickam,

Idris,

Nipo

2024

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“…Their findings identify the motivation of the acquirer as a significant factor and highlight AdaBoost as a powerful prediction method. Liu et al (2020), investigated the main determinants of perceived strength of intellectual property rights (IPR) in developed and emerging Asian countries. The authors employed Cluster-Lasso approach in panel models with additive unobserved individual-specific heterogeneity, revealing a range of significant factors influencing IPR, including bribery and corruption, government policy adaptability, and education.…”

Section: Related Workmentioning

confidence: 99%

Clustering techniques and innovation-based comparison in Londrina and Region companies

Paula Barbosa de Morais,

Santos Dias,

Samways dos Santos

et al. 2024

Semin., Exact Tech. Scienc.

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Innovation is often considered a cornerstone for success across various companies. However, research focused on measuring and describing innovation frequently relies on classical statistical techniques. In this context, this study applied unsupervised machine learning techniques to cluster companies in the Londrina region, investigating how variables related to innovation differ among the identified clusters. Data were collected through a survey instrument adapted from CIS 4 and PINTEC, encompassing 26 responding companies, although 23 were analyzed in this study. Four clustering algorithms were employed: k-means, k-means+PCA, hierarchical, and hierarchical+PCA. Regarding the results, the hierarchical+PCA algorithm showed improved separation between service and manufacturing companies. Clusters identified with the value ``"1" indicated concerns related to regular investment in R&D, collaborations for innovation, and requests/registrations of patents in the last three years. Analyzing demographic characteristics revealed that clusters identified by hierarchical+PCA exhibited a higher presence of service sector companies, while cluster 1 showed a prevalence of industries, suggesting that these possess more innovative characteristics in the Londrina region.

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“…Creativity in teams involves generating new and innovative products or services that are regarded as the root of innovation and are expected to contribute to organizational renewal, growth and effectiveness (Amabile, 1988; Danneels, 2002; Real & Poole, 2005; Roberts & Amit, 2003). As knowledge‐based industry has undergone rapid growth, the management of creativity and innovation in research and development (R&D) teams can be a signal to venture capitals investment, an entrepreneurial activity for start‐ups, a measure of the competitiveness of organizations and a central focus for innovation markets (e.g., Liu et al, 2020; Safari, 2017). There are extant streams of research investigating how creativity is influenced by personality traits (Kim, 2019), individual attitude (Farmer et al, 2003; Grant & Berry, 2011), job characteristics (Raja & Johns, 2010), collegial support (Mathisen, 2011) and organizational practices (Amabile, 1998; Cirella, 2016).…”

Section: Introductionmentioning

confidence: 99%

Initiative climate, psychological safety and knowledge sharing as predictors of team creativity: A multilevel study of research and development project teams

2021

Self Cite

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This paper examines from a multilevel perspective the contributions of initiative climate, psychological safety and knowledge sharing to team creativity in research and development (R&D) project teams. We propose and test an organizational learning contingency model of creativity, reflecting on how initiative climate interacts with employees' psychological safety in influencing knowledge sharing and teams' creative performance, by collecting data from 352 employees comprising 88 R&D teams in Taiwan at two time points and from two sources, team members and team leaders. Results indicated that knowledge sharing acts as a mediator in the relationship between initiative climate and team creativity. Results also supported the cross‐level moderation effect of initiative climate on the relationship between psychological safety and knowledge sharing behaviour. We also made the interesting but unhypothesized findings that tenure differentiation and education diversity both negatively influenced team creativity and go on to discuss both theoretical and practical implications of our research.

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Precursors of intellectual property rights enforcement in East and Southeast Asia

Cited by 5 publications

References 43 publications

The Influence of Intellectual Property Rights (IPR) on Asean+5’s International Trade (IT)

The Influence of Intellectual Property Rights (IPR) on Asean+5’s International Trade (IT)

Clustering techniques and innovation-based comparison in Londrina and Region companies

Initiative climate, psychological safety and knowledge sharing as predictors of team creativity: A multilevel study of research and development project teams

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