Research collaboration networks of two OIC nations: comparative study between Turkey and Malaysia in the field of ‘Energy Fuels’, 2009–2011

Kumar, Sameer; Jan, Jariah Binti Mohd

doi:10.1007/s11192-013-1059-8

Cited by 36 publications

(13 citation statements)

References 62 publications

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“…We examine network influence, a variable that is relatively less explored in the supply network complexity literature but that has significant implications for managing the costs associated with the transaction and firms' capabilities to create a unique recombination. High‐status nodes are connected to other high‐status nodes, but these high‐status nodes are bereft of other high‐status connections (Kumar & Jan, 2014). Firms with a high influence over the network can not only manage the opportunistic behavior, transaction costs, power asymmetries, and flow of information but also gain access to novel resources and the ability to recombine available knowledge, all of which may positively affect innovation performance (Bodin & Crona, 2009; Rowley, 1997).…”

Section: Theoretical Background Hypothesis Development and Conceptumentioning

confidence: 99%

Is it too complex? The curious case of supply network complexity and focal firm innovation

Sharma

Pathak

Borah

et al. 2019

J of Ops Management

160

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Firms have increasingly relied on their supply network for improving their innovation performance. Although the relationship between the supply network structure and innovation has been investigated, the link between supply network complexity and a firm's innovation remains unexplored. By employing transaction cost economics and the concept of a recombinatory search, we propose that the complexity dimensions (horizontal, vertical, and spatial complexity) of a supply network impact the innovation performance of a firm and that such relationships are moderated by a strategic emphasis on value creation and the influence of the firm over the supply network. With a large-scale network data of 201 firms across six industries and 20 countries, we take a robust empirical approach that accounts for endogeneity, unobserved heterogeneity and intrafirm error correlation to test our theory. We find strong support for a nonlinear relationship (with diminishing growth) between both horizontal and vertical complexity with respect to innovation performance. We find that spatial complexity is negatively related to innovation performance. Additionally, we find that a firm's strategic emphasis and its influence indeed moderates the link between the complexity dimensions and innovation performance. Based on our findings, we offer specific managerial guidance for the effective implementation of sourcing practices.

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Section: Theoretical Background Hypothesis Development and Conceptumentioning

confidence: 99%

Is it too complex? The curious case of supply network complexity and focal firm innovation

Sharma

Pathak

Borah

et al. 2019

J of Ops Management

160

View full text Add to dashboard Cite

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“…Kumar and Jan (2014) used another network perspective to examine collaborations and compared the collaborative patterns of Malaysia-based authors in the field of energy and fuels with those of another OIC country—Turkey. Their study found that the centrality measures had significant correlation with research production.…”

Section: Science In Malaysiamentioning

confidence: 99%

The contribution of ethnic groups to Malaysian scientific output, 1982–2014, and the effects of the new economic policy

et al. 2016

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Malaysia has three main ethnic communities: Chinese, Indians and Malays. At independence in 1957, the Chinese dominated commercial life, and this led to ethnic tensions and finally riots. As a result in 1969 Malaysia introduced a “New Economic Policy” (NEP) to promote Malays in all areas of activity, and in particular to assist them to obtain basic and higher education. We examined the scientific outputs from Malaysia between 1982 and 2014 and classified the names of Malaysian researchers into one of these three groups and two others. There was a major increase in Malay participation in research, which has risen from 20 % of researchers in 1982–1984 to 65 % in 2012–2014, with corresponding declines in the percentages of Chinese and Indian authors, although their absolute numbers have increased because Malaysian scientific output has increased so rapidly in the last 10 years. The huge increase in Malay researchers contrasts with their presence in the Malaysian population which has remained stable at about 50 % since 1969.

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“…Research Collaborations could also be seen from the perspective of networks (Kumar and Jan 2014). In a network, two entities form a connection if there is some kind of association between them (Newman 2001).…”

Section: Research Collaboration Network (Rcn)mentioning

confidence: 99%

Bonded-communities in HantaVirus research: a research collaboration network (RCN) analysis

Kumar

Markscheffel

2016

Scientometrics

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Hantavirus, one of the deadliest viruses known to humans, hospitalizes tens of thousands of people each year in Asia, Europe and the Americas. Transmitted by infected rodents and their excreta, Hantavirus are identified as etiologic agents of two main types of diseases-Hemorrhagic fever with renal syndrome and hantavirus pulmonary syndrome, the latter having a fatality rate of above 40 %. Although considerable research for over two decades has been going on in this area, bibliometric studies to gauge the state of research of this field have been rare. An analysis of 2631 articles, extracted from WoS databases on Hantavirus between 1980 and 2014, indicated a progressive increase (R 2 = 0.93) in the number of papers over the years, with the majority of papers being published in the USA and Europe. About 95 % papers were co-authored and the most common arrangement was 4-6 authors per paper. Co-authorship has seen a steady increase (R 2 = 0.57) over the years. We apply research collaboration network analysis to investigate the best-connected authors in the field. The author-based networks have 49 components (connected clump of nodes) with 7373 vertices (authors) and 49,747 edges (co-author associations) between them. The giant component (the largest component) is healthy, occupying 84.19 % or 6208 vertices with 47,117 edges between them. By using edge-weight threshold, we drill down into the network to reveal bonded communities. We find three communities' hotspotsone, led by researchers at University of Helsinki, Finland; a second, led by the Centers of Disease Control and Prevention, USA; and a third, led by Hokkaido University, Japan. Significant correlation was found between author's structural position in the network and research performance, thus further supporting a well-studied phenomenon that centrality effects research productivity. However, it was the PageRank centrality that out-performed degree and betweenness centrality in its strength of correlation with research performance.

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Research collaboration networks of two OIC nations: comparative study between Turkey and Malaysia in the field of ‘Energy Fuels’, 2009–2011

Cited by 36 publications

References 62 publications

Is it too complex? The curious case of supply network complexity and focal firm innovation

Is it too complex? The curious case of supply network complexity and focal firm innovation

The contribution of ethnic groups to Malaysian scientific output, 1982–2014, and the effects of the new economic policy

Bonded-communities in HantaVirus research: a research collaboration network (RCN) analysis

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