5 datasets found
  1. w

    Dataset of book subjects that contain Comparative advantage in UK...

    • workwithdata.com
    Updated Nov 7, 2024
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    Work With Data (2024). Dataset of book subjects that contain Comparative advantage in UK manufacturing trade, 1910-1935 [Dataset]. https://www.workwithdata.com/datasets/book-subjects?f=1&fcol0=j0-book&fop0=%3D&fval0=Comparative+advantage+in+UK+manufacturing+trade%2C+1910-1935&j=1&j0=books
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    Dataset updated
    Nov 7, 2024
    Dataset authored and provided by
    Work With Data
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    United Kingdom
    Description

    This dataset is about book subjects. It has 2 rows and is filtered where the books is Comparative advantage in UK manufacturing trade, 1910-1935. It features 10 columns including number of authors, number of books, earliest publication date, and latest publication date.

  2. UK companies: competitive advantage of cloud services 2015, by organisation...

    • statista.com
    Updated Jun 27, 2015
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    Statista (2015). UK companies: competitive advantage of cloud services 2015, by organisation size [Dataset]. https://www.statista.com/statistics/469487/competitive-advantage-of-cloud-services-in-uk-by-organisation-size/
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    Dataset updated
    Jun 27, 2015
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United Kingdom
    Description

    This statistic displays share of organizations whom usage of cloud services had given a competitive advantage in the United Kingdom (UK) in 2015, by company size. During the survey, it was found that ** percent of respondents from organizations employing fewer than ** persons reported that cloud services had made their organizations more competitive.

  3. o

    Data from: An empirical analysis of competitive advantage in UK retailing:...

    • explore.openaire.eu
    Updated Jan 1, 2002
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    W. J. R. Canagasuriam (2002). An empirical analysis of competitive advantage in UK retailing: impact of the extended RBV on the marketing channel for white goods [Dataset]. https://explore.openaire.eu/search/other?orpId=od_227::80377d30ab82df9068440b9937cec565
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    Dataset updated
    Jan 1, 2002
    Authors
    W. J. R. Canagasuriam
    Area covered
    United Kingdom
    Description

    This dissertation accomplishes several tasks. First it surveys the literature in the resource-base theory of a firm and retailing for establishing the vital links necessary for firm heterogeneity in the retail channel for white goods. The review depicts not only the various dimensions of the concepts of resources, capabilities and competitive behaviour on competitive advantage but also the specific organisational/inter-organisational and strategic adaptation capabilities that direct some firms to outperform other firms in this retail channel. The empirical analysis for testing competitive advantages included a main survey analysis that consisted of all retailers and another for the small retailers. A model was constructed to diffuse simultaneously the critical resources, capabilities and competitive behaviour to competitive advantages pertaining to this retail channel in the UK. Furthermore, this method of linking and ranking of key resources and capabilities to competitive advantages is expected to encourage managers to leverage existing resource positions into superior future positions. Additionally it is also expected to help regulators address competitive issues accordingly. The results indicate that in this retail channel competitive advantages were associated to key resources and key capabilities. In this study the linking of strategic adaptive capabilities to key resources highlight retailer branding enhancements from non product activities. These non-product activities were a basis for setting ex ante limits to future competition in this retail channel. The outcome of the analysis illustrates that efficiency and/or effectiveness of outlets (key resources) were subject to delivery of customer values from product portfolios that increased market shares (proxy for competitive advantage) for the retailer organisations. This study also demonstrates how retailer outlets became a source of competitive advantage by fulfilling the conditions of value, rarity, inimitability and insubstitutability. Finally, this study also reviews the current retail structure of this retail channel to understand why it could be efficient and effective than its counterparts in Europe. The result of the two surveys suggests some evidence of imperfect competition and directs attention not to the concentration of firms but to the imbalances of outlet classes prevailing in this retail channel. Moreover this study also reveals that the number of small retailer outlets prevalent in this retail channel may indirectly control to a certain degree the extent of the advantages of economies of scale/scope that is available to the larger retailers.

  4. Young Lives: School Survey, Vietnam, 2011-2012

    • beta.ukdataservice.ac.uk
    Updated 2022
    + more versions
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    Department Of International Development University Of Oxford (2022). Young Lives: School Survey, Vietnam, 2011-2012 [Dataset]. http://doi.org/10.5255/ukda-sn-7663-1
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    Dataset updated
    2022
    Dataset provided by
    UK Data Servicehttps://ukdataservice.ac.uk/
    DataCitehttps://www.datacite.org/
    Authors
    Department Of International Development University Of Oxford
    Area covered
    Vietnam
    Description
    The Young Lives survey is an innovative long-term project investigating the changing nature of childhood poverty in four developing countries. The study is being conducted in Ethiopia, India, Peru and Vietnam and has tracked the lives of 12,000 children over a 20-year period, through 5 (in-person) survey rounds (Round 1-5) and, with the latest survey round (Round 6) conducted over the phone in 2020 and 2021 as part of the Listening to Young Lives at Work: COVID-19 Phone Survey.

    Round 1 of Young Lives surveyed two groups of children in each country, at 1 year old and 5 years old. Round 2 returned to the same children who were then aged 5 and 12 years old. Round 3 surveyed the same children again at aged 7-8 years and 14-15 years, Round 4 surveyed them at 12 and 19 years old, and Round 5 surveyed them at 15 and 22 years old. Thus the younger children are being tracked from infancy to their mid-teens and the older children through into adulthood, when some will become parents themselves.

    The 2020 phone survey consists of three phone calls (Call 1 administered in June-July 2020; Call 2 in August-October 2020 and Call 3 in November-December 2020) and the 2021 phone survey consists of two additional phone calls (Call 4 in August 2021 and Call 5 in October-December 2021) The calls took place with each Young Lives respondent, across both the younger and older cohort, and in all four study countries (reaching an estimated total of around 11,000 young people).

    The Young Lives survey is carried out by teams of local researchers, supported by the Principal Investigator and Data Manager in each country.

    Further information about the survey, including publications, can be downloaded from the Young Lives website.


    School Survey:
    A school survey was introduced into Young Lives in 2010, following the third round of the household survey, in order to capture detailed information about children’s experiences of schooling. It addressed two main research questions:

    • how do the relationships between poverty and child development manifest themselves and impact upon children's educational experiences and outcomes?
    • to what extent does children’s experience of school reinforce or compensate for disadvantage in terms of child development and poverty?
    The survey allows researchers to link longitudinal information on household and child characteristics from the household survey with data on the schools attended by the Young Lives children and children's achievements inside and outside the school. A wide range of stakeholders, including government representatives at national and sub-national levels, NGOs and donor organisations were involved in the design of the school survey, so the researchers could be sure that the ‘right questions’ were being asked to address major policy concerns. This consultation process means that policymakers already understand the context and potential of the Young Lives research and are interested to utilise the data and analysis to inform their policy decisions. The survey provides policy-relevant information on the relationship between child development (and its determinants) and children’s experience of school, including access, quality and progression. This combination of household, child and school-level data over time constitutes the comparative advantage of the Young Lives study.

    The School Survey data are held separately for each country. The India data are available from the UK Data Archive under SN 7478, the Peru data have been archived under SN 7479, and the Ethiopia data are available from SN 7823.

    A further round of school surveys took place during the 2016-2017 school year. The Ethiopia survey is available under SN 8358, the India survey under SN 8359 and the Vietnam survey under SN 8360.

    Further information is available from the Young Lives https://www.younglives.org.uk/content/school-survey" title="School Survey">School Survey webpages.

  5. Menswear Retailing in the UK | Verdict Sector Report; Market size, strategic...

    • store.globaldata.com
    Updated Jan 1, 2016
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    GlobalData UK Ltd. (2016). Menswear Retailing in the UK | Verdict Sector Report; Market size, strategic issues and competitive outlook [Dataset]. https://store.globaldata.com/report/menswear-retailing-in-the-uk-verdict-sector-report-market-size-strategic-issues-and-competitive-outlook/
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    Dataset updated
    Jan 1, 2016
    Dataset provided by
    GlobalDatahttps://www.globaldata.com/
    Authors
    GlobalData UK Ltd.
    License

    https://www.globaldata.com/privacy-policy/https://www.globaldata.com/privacy-policy/

    Time period covered
    2016 - 2020
    Area covered
    United Kingdom
    Description

    The UK menswear market will grow by £3.2bn in the five years to 2020 – equating to 29.5% growth on 2015. A growing interest in fashion and a willingness to buy more frequently will boost future spend, with spend by per increasing by over £100 in the coming five years. With competition deepening, retailers can gain a competitive advantage by building their ranges of non-core product areas such as big & tall, tailoring and sportswear, to grow destination appeal by serving niche customer groups. Read More

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Work With Data (2024). Dataset of book subjects that contain Comparative advantage in UK manufacturing trade, 1910-1935 [Dataset]. https://www.workwithdata.com/datasets/book-subjects?f=1&fcol0=j0-book&fop0=%3D&fval0=Comparative+advantage+in+UK+manufacturing+trade%2C+1910-1935&j=1&j0=books

Dataset of book subjects that contain Comparative advantage in UK manufacturing trade, 1910-1935

Explore at:
Dataset updated
Nov 7, 2024
Dataset authored and provided by
Work With Data
License

Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically

Area covered
United Kingdom
Description

This dataset is about book subjects. It has 2 rows and is filtered where the books is Comparative advantage in UK manufacturing trade, 1910-1935. It features 10 columns including number of authors, number of books, earliest publication date, and latest publication date.

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