Institution
Edith Cowan University
Education•Perth, Western Australia, Australia•
About: Edith Cowan University is a education organization based out in Perth, Western Australia, Australia. It is known for research contribution in the topics: Population & Context (language use). The organization has 4040 authors who have published 13529 publications receiving 339582 citations. The organization is also known as: Edith Cowan & ECU.
Papers published on a yearly basis
Papers
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TL;DR: The literature on e-marketplaces and IT/IS/e-commerce adoption by SMEs is examined to determine the appropriateness of existing theoretical frameworks, the key constructs of which are synthesised to form an integrated theoretical framework.
Abstract: Regional electronic marketplaces (REMs) have been used to promote e-commerce uptake by small and medium enterprises (SMEs). However, the community and regional economic development motives underpinning REM creation can cause complexities. While REM development and management can be informed by existing theoretical frameworks, there is no comprehensive framework that can be used to examine the factors affecting the success or failure of government-supported SME-REMs. The objective of this paper is to construct such a framework that can be used to examine these factors. The literature on e-marketplaces and IT/IS/e-commerce adoption by SMEs is examined to determine the appropriateness of existing theoretical frameworks, the key constructs of which are synthesised to form an integrated theoretical framework. The value of the framework is confirmed by content analysis of published case studies and empirical results from in-depth case studies of two SME-REMs. The most significant factors affecting success or failure of government-supported SME-REMs are as follows: SME-owner innovativeness; REM ownership structure and governance that engender trust and build critical mass by including SMEs in REM development and management; matching REM focus and structure with regional profile by leveraging community ties and existing business relationships; adopting a staged approach to REM development; and ensuring REM benefits are understood by SMEs.
123 citations
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University of Western Australia1, Edith Cowan University2, Australian Institute of Marine Science3, University of the Algarve4, University of Las Palmas de Gran Canaria5, Commonwealth Scientific and Industrial Research Organisation6, University of Southern Denmark7, University of Virginia8, University of Porto9, University of Tartu10, University of Florida11
TL;DR: Major knowledge gaps that need to be addressed are identified before general predictive models on seaweed-seagrass interactions can be build, in order to effectively protect seagrasses habitats from detrimental competition from seaweeds.
Abstract: Seagrasses are important habitat-formers and ecosystem engineers that are under threat from bloom-forming seaweeds. These seaweeds have been suggested to outcompete the seagrasses, particularly when facilitated by eutrophication, causing regime shifts where green meadows and clear waters are replaced with unstable sediments, turbid waters, hypoxia, and poor habitat conditions for fishes and invertebrates. Understanding the situations under which seaweeds impact seagrasses on local patch scales can help proactive management and prevent losses at greater scales. Here, we provide a quantitative review of available published manipulative experiments (all conducted at the patch-scale), to test which attributes of seaweeds and seagrasses (e.g., their abundances, sizes, morphology, taxonomy, attachment type, or origin) influence impacts. Weighted and unweighted meta-analyses (Hedges d metric) of 59 experiments showed generally high variability in attribute-impact relationships. Our main significant findings were that (a) abundant seaweeds had stronger negative impacts on seagrasses than sparse seaweeds, (b) unattached and epiphytic seaweeds had stronger impacts than ‘rooted’ seaweeds, and (c) small seagrass species were more susceptible than larger species. Findings (a) and (c) were rather intuitive. It was more surprising that ‘rooted’ seaweeds had comparatively small impacts, particularly given that this category included the infamous invasive Caulerpa species. This result may reflect that seaweed biomass and/or shading and metabolic by-products like anoxia and sulphides could be lower for rooted seaweeds. In conclusion, our results represent simple and robust first-order generalities about seaweed impacts on seagrasses. This review also documented a limited number of primary studies. We therefore identified major knowledge gaps that need to be addressed before general predictive models on seaweed-seagrass interactions can be build, in order to effectively protect seagrass habitats from detrimental competition from seaweeds.
123 citations
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TL;DR: Embryos showing RC had significantly poorer performance in both conventional grading and morphokinetic parameters, and they implanted less than those not showing RC, culminating in poor implantation potential.
123 citations
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TL;DR: Shooting density at the end of shading is an important determinant of the rate seagrass meadows will recover and it is estimated that the moderately and heavily shaded meadows would require 3.5 to 5 years to recover.
123 citations
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TL;DR: In this article, the authors used selective laser melting (SLM) to fabricate scaffolds using the titanium alloy Ti-6Al-4V, and two types of high porosity open-cell structures were manufactured: the first built from topology optimized designs with maximised stiffness, and the second from gyroid labyrinths.
123 citations
Authors
Showing all 4128 results
Name | H-index | Papers | Citations |
---|---|---|---|
Paul Jackson | 141 | 1372 | 93464 |
William J. Kraemer | 123 | 755 | 54774 |
D. Allan Butterfield | 115 | 504 | 43528 |
Kerry S. Courneya | 112 | 608 | 49504 |
Robert U. Newton | 109 | 753 | 42527 |
Roger A. Barker | 101 | 620 | 39728 |
Ralph N. Martins | 95 | 630 | 35394 |
Wei Wang | 95 | 3544 | 59660 |
David W. Dunstan | 91 | 403 | 37901 |
Peter E.D. Love | 90 | 546 | 24815 |
Andrew Jones | 83 | 695 | 28290 |
Hongqi Sun | 81 | 265 | 20354 |
Leon Flicker | 79 | 465 | 22669 |
Mark A. Jenkins | 79 | 472 | 21100 |
Josep M. Gasol | 77 | 313 | 22638 |