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A Borhidi - One of the best experts on this subject based on the ideXlab platform.

  • la circunscripsion de palicourea subgen heteropsychotria rubiaceae palicoureeae
    Acta Botanica Hungarica, 2017
    Co-Authors: A Borhidi
    Abstract:

    The subgenus Heteropsychotria was detected and described by Julian Steyermark in the frame of the monographic series of the Botany of the Guyana Highland (Steyermark 1972) and repeatedly in a more illustrated version in the Flora of Venezuela (Steyermark 1974). Within the subgenus he distinguished 13 sections and 31 series. Three sections (Nrs 4, 7 and 11) of the 13 remained without names and descriptions. After the fundamental molecular taxonomic study of Nepokroeff et al. (1999) a Publishing Activity started producing a number of critical studies separating some sections as valid individual genera. The section Chytropsia has been included into the genus Margaritopsis Ch. Wright (Andersson 2001, Taylor 2005). The section Notopleura regained its generic status according to Bremekamp’s original concept (Taylor 2001). The Mapouria section has been eliminated by the re-establishment of the Carapichea genus (Andersson 2002b, Taylor and Gereau 2013). It has been recently recognised, that the greater part of th...

Hsu-hao Tsai - One of the best experts on this subject based on the ideXlab platform.

  • knowledge management vs data mining research trend forecast and citation approach
    Expert Systems With Applications, 2013
    Co-Authors: Hsu-hao Tsai
    Abstract:

    Knowledge management (KM) and data mining (DM) have become more important today, however, there are few comprehensive researches and categorization schemes to discuss the characteristics for both of them. Using a bibliometric approach, this paper analyzes KM and DM research trends, forecasts and citations from 1989 to 2009 by locating headings ''knowledge management'' and ''data mining'' in topics in the SSCI database. The bibliometric analytical technique was used to examine these two topics in SSCI journals from 1989 to 2009, we found 1393 articles with KM and 1181 articles with DM. This paper implemented and classified KM and DM articles using the following eight categories-publication year, citation, country/territory, document type, institute name, language, source title and subject area-for different distribution status in order to explore the differences and how KM and DM technologies have developed in this period and to analyze KM and DM technology tendencies under the above result. Also, the paper performs the K-S test to check whether the distribution of author article production follows Lotka's law. The research findings can be extended to investigate author productivity by analyzing variables such as chronological and academic age, number and frequency of previous publications, access to research grants, job status, etc. In such a way characteristics of high, medium and low Publishing Activity of authors can be identified. Besides, these findings will also help to judge scientific research trends and understand the scale of development of research in KM and DM through comparing the increases of the article author. Based on the above information, governments and enterprises may infer collective tendencies and demands for scientific researcher in KM and DM to formulate appropriate training strategies and policies in the future. This analysis provides a roadmap for future research, abstracts technology trend information and facilitates knowledge accumulations, therefore the future research can concentrated in core categories. This implies that the phenomenon ''success breeds success'' is more common in higher quality publications.

  • Research trends analysis by comparing data mining and customer relationship management through bibliometric methodology
    Scientometrics, 2011
    Co-Authors: Hsu-hao Tsai
    Abstract:

    There are few comprehensive studies and categorization schemes to discuss the characteristics for both data mining and customer relationship management (CRM) although they have already become more important recently. Using a bibliometric approach, this paper analyzes data mining and CRM research trends from 1989 to 2009 by locating headings “data mining” and “customer relationship management” or “CRM” in topics in the SSCI database. The bibliometric analytical technique was used to examine these two topics in SSCI journals from 1989 to 2009, we found 1181 articles with data mining and 1145 articles with CRM. This paper implemented and classified data mining and CRM articles using the following eight categories—publication year, citation, country/territory, document type, institute name, language, source title and subject area—for different distribution status in order to explore the differences and how data mining and CRM technologies have developed in this period and to analyze data mining and CRM technology tendencies under the above result. Also, the paper performs the K–S test to check whether the analysis follows Lotka’s law. The research findings can be extended to investigate author productivity by analyzing variables such as chronological and academic age, number and frequency of previous publications, access to research grants, job status, etc. In such a way characteristics of high, medium and low Publishing Activity of authors can be identified. Besides, these findings will also help to judge scientific research trends and understand the scale of development of research in data mining and CRM through comparing the increases of the article author. Based on the above information, governments and enterprises may infer collective tendencies and demands for scientific researcher in data mining and CRM to formulate appropriate training strategies and policies in the future. This analysis provides a roadmap for future research, abstracts technology trends and facilitates knowledge accumulations so that data mining and CRM researchers can save some time since core knowledge will be concentrated in core categories. This implies that the phenomenon “success breeds success” is more common in higher quality publications.

Marko Seppanen - One of the best experts on this subject based on the ideXlab platform.

  • patent and Publishing Activity sequence over a technology s life cycle
    Technological Forecasting and Social Change, 2011
    Co-Authors: H.m. Jarvenpaa, Saku J Makinen, Marko Seppanen
    Abstract:

    Abstract The use of multiple indicators in analyzing technological developments and exploiting the increasing availability of information has been recommended widely in order to decrease systematic biases between single measures. One of the few frameworks that take multiple sources into account is the Technology Life Cycle indicators that provide a measure for the totality of sources available for analysis and take their timeliness into account, although the linear model that the framework represents is often questioned. The aim of this paper is to provide bibliometric studies with insight into the timely relevance of using different databases. To assess the reporting sequence between different databases, this paper measures the reporting Activity of three case technologies in different databases and analyzes the yearly reporting volumes of a number of items that mention the technology in the databases as suggested by the TLC indicators. The results of this paper suggest that, when science is the source of new ideas and the driver for technological development and innovations, communication can happen in the order suggested by the TLC indicators. However, this model does not seem to be a general model for detecting and forecasting a technological life cycle. In addition, the results of the paper point to the possibility of studying non-linear models of innovation and contexts where this type of dynamics might take place.

  • Assessing the development phase of emerging technology: The wood pellets case
    2009 IEEE International Conference on Industrial Engineering and Engineering Management, 2009
    Co-Authors: A.s. Tapaninen, Marko Seppanen
    Abstract:

    Climate change has highlighted the potential for bioheating solutions, including wood pellet technologies. This study investigates the development phase of an emerging technology regarding wood pellets that is assessed through Publishing Activity in different sources. The results show that the number of publications has increased significantly in the 21st century. This indicates the accelerating increase in the development of the current technology.

H.m. Jarvenpaa - One of the best experts on this subject based on the ideXlab platform.

  • patent and Publishing Activity sequence over a technology s life cycle
    Technological Forecasting and Social Change, 2011
    Co-Authors: H.m. Jarvenpaa, Saku J Makinen, Marko Seppanen
    Abstract:

    Abstract The use of multiple indicators in analyzing technological developments and exploiting the increasing availability of information has been recommended widely in order to decrease systematic biases between single measures. One of the few frameworks that take multiple sources into account is the Technology Life Cycle indicators that provide a measure for the totality of sources available for analysis and take their timeliness into account, although the linear model that the framework represents is often questioned. The aim of this paper is to provide bibliometric studies with insight into the timely relevance of using different databases. To assess the reporting sequence between different databases, this paper measures the reporting Activity of three case technologies in different databases and analyzes the yearly reporting volumes of a number of items that mention the technology in the databases as suggested by the TLC indicators. The results of this paper suggest that, when science is the source of new ideas and the driver for technological development and innovations, communication can happen in the order suggested by the TLC indicators. However, this model does not seem to be a general model for detecting and forecasting a technological life cycle. In addition, the results of the paper point to the possibility of studying non-linear models of innovation and contexts where this type of dynamics might take place.

  • An empirical study of the wood pellet Publishing Activity development
    2008 4th IEEE International Conference on Management of Innovation and Technology, 2008
    Co-Authors: H.m. Jarvenpaa, A.s. Tapaninen
    Abstract:

    Climate change have highlighted the potential for bioheating solutions, including wood pellet technologies. This study investigates the development phase of the technology regarding wood pellets. We use the technology life cycle indicators as a proxy for the development phase but also compare those results to the actual historical development of the technology. In addition, we analyze the wood pelletspsila geographical differences by looking at the different countriespsila Publishing Activity on wood pellets. The results show that the number of publications has increased significantly in the 21st century. This indicates the accelerating growth of development in the current technology. In addition, concentration of wood pellet Publishing is substantial with two countries dominating the engineering Publishing Activity.

G. Steven Mcmillan - One of the best experts on this subject based on the ideXlab platform.

  • An Analysis of the Relationship Between Publishing Activity and Internal Knowledge Development
    International Journal of Innovation Management, 1998
    Co-Authors: G. Steven Mcmillan
    Abstract:

    Previous research has explored the value of using patent citations, versus simple patent counts, as indicators of innovative value. However, little work has delved into whether a company's patent citations are to its own patents or to external ones. This study examines the relationship between Publishing and patenting using patent citation analysis that is separated into internal and external cites, with self-citations as a measure of internal knowledge development. Its results are that Publishing patterns and internal knowledge development are correlated, which may provide a different view of Cohen and Levinthal's absorptive capacity model. In addition, these findings' plausibility was confirmed through an interview with a practising research manager.