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[{"key": "dc.contributor.advisor", "value": "Frank, Lauri", "language": "", "element": "contributor", "qualifier": "advisor", "schema": "dc"}, {"key": "dc.contributor.author", "value": "Kallio, Antti", "language": "", "element": "contributor", "qualifier": "author", "schema": "dc"}, {"key": "dc.date.accessioned", "value": "2021-09-02T06:50:57Z", "language": null, "element": "date", "qualifier": "accessioned", "schema": "dc"}, {"key": "dc.date.available", "value": "2021-09-02T06:50:57Z", "language": null, "element": "date", "qualifier": "available", "schema": "dc"}, {"key": "dc.date.issued", "value": "2021", "language": "", "element": "date", "qualifier": "issued", "schema": "dc"}, {"key": "dc.identifier.uri", "value": "https://jyx.jyu.fi/handle/123456789/77636", "language": null, "element": "identifier", "qualifier": "uri", "schema": "dc"}, {"key": "dc.description.abstract", "value": "Datan m\u00e4\u00e4r\u00e4n eksponentiaalisen kasvun my\u00f6t\u00e4 data-analytiikasta on tullut yh\u00e4 keskeisempi tekij\u00e4 organisaation p\u00e4\u00e4t\u00f6ksenteossa. Data-analyysien pohjalta yrityksill\u00e4 on k\u00e4yt\u00f6ss\u00e4\u00e4n enemm\u00e4n tietoa kuin koskaan ennen ja p\u00e4\u00e4t\u00f6kset pohjautuvat yh\u00e4 enemm\u00e4n analytiikan tarjoamaan informaatioon. Data- analyysien k\u00e4yt\u00f6n mahdolliset liiketoiminnalliset hy\u00f6dyt ovat selv\u00e4t, mutta data- analytiikka vaatii kuitenkin yritykselt\u00e4 tiettyj\u00e4 kyvykkyyksi\u00e4, jotka voidaan jaotella aineellisiin, inhimillisiin sek\u00e4 aineettomiin tekij\u00f6ihin. T\u00e4m\u00e4n opinn\u00e4ytety\u00f6n tarkoituksena on tuottaa laaja ja selke\u00e4 kuvaus analytiikan hy\u00f6dynt\u00e4miseen tarvittavista kyvykkyyksist\u00e4. Kirjallisuuskatsauksen tulosten perusteella onnistuttiin tunnistamaan kaikki keskeiset tekij\u00e4t, jotka liittyv\u00e4t yrityksen analytiikan hy\u00f6dynt\u00e4miseen. Kirjallisuuskatsauksessa todettiin yhteenvetona, ett\u00e4 yritys tarvitsee kyvykkyyksi\u00e4 jokaisella osa-alueella voidakseen hy\u00f6dynt\u00e4\u00e4 analytiikkaa omassa toiminnassaan. Kirjallisuuskatsauksen lis\u00e4ksi tehtiin kymmenen puolistrukturoitua haastattelua alan ammattilaisten kanssa kuvaamaan suomalaisten verkkokauppayritysten nykytilaa. Empiirisess\u00e4 osassa tutkielmaa pyrittiin kirjallisuuskatsauksen avulla selvitt\u00e4m\u00e4\u00e4n, mitk\u00e4 n\u00e4ist\u00e4 tunnistetuista kyvykkyyksist\u00e4 korostuvat ja mill\u00e4 osa- alueilla suomalaisissa verkkokauppayrityksiss\u00e4 havaitaan puutteita. Tulokset osoittavat, ett\u00e4 kirjallisuuskatsauksen kymmenen tunnistettua resurssia ovat hyvin linjassa haastateltavien vastausten kanssa, lukuun ottamatta tiedonhallintaan liittyvi\u00e4 asioita, joita ei tullut haastatteluissa esiin. T\u00e4rkeimm\u00e4t haastateltavien tunnistamat ongelmat olivat teknisten taitojen alhainen taso sek\u00e4 vaikeus l\u00f6yt\u00e4\u00e4 ty\u00f6ntekij\u00f6it\u00e4, joilla on hyv\u00e4 ymm\u00e4rrys liiketoiminnasta ja hyv\u00e4 ymm\u00e4rrys analytiikasta sek\u00e4 sen kehitt\u00e4misest\u00e4. Lis\u00e4ksi haastatteluissa k\u00e4vi ilmi, ett\u00e4 dataan perustuva p\u00e4\u00e4t\u00f6ksenteko on yrityksiss\u00e4 usein vajavaista. Lis\u00e4ksi korostettiin, ett\u00e4 yrityksen sis\u00e4ll\u00e4 useampien tulisi ymm\u00e4rt\u00e4\u00e4 paremmin dataa ja analytiikkaa. Materiaalisia tekij\u00f6it\u00e4, kuten rahaa, aikaa, dataa ja verkkokauppa- alustoja, pidettiin enimm\u00e4kseen neutraaleina tekij\u00f6in\u00e4, eik\u00e4 niit\u00e4 pidetty ongelmana analytiikan kehitt\u00e4misess\u00e4.", "language": "fi", "element": "description", "qualifier": "abstract", "schema": "dc"}, {"key": "dc.description.abstract", "value": "With the exponential growth in the amount of data, data analytics has become an increasingly central factor. Based on data analysis, organizations have more information at their disposal than ever before, and decisions are based more on the information provided by analytics rather than intuition. The potential business benefits of using data analytics are clear, but data analytics still requires a company to have certain capabilities that can be divided into tangible, human and intangible resources. The purpose of this thesis is to produce a wide and clear classification of the capabilities required to utilize data analytics. The classification has been carried out on the basis of previous literature. Literature review\u2019s results managed to identify broadly all the key factors involved in leveraging the company\u2019s analytics. The literature review summarized that a company needs capabilities in every subarea in order to be able to leverage analytics in its own operations. In addition to the literature review, ten semi- structured interviews with industry professionals were conducted to describe the current situation of Finnish e-commerce businesses. In the empirical part, the aim was to find out, with the help of a literature review, which of these identified capabilities are emphasized and in which areas deficiencies in Finnish e- commerce companies are identified. The results show that the ten identified resources of the literature review are well aligned with the interviewees' responses, except for governance, which did not come up in the interviews. The main problems identified by interviewees was the low level of technical skills and the difficulty in finding employees with a good understanding of the business and a good understanding of analytics and how to develop them. In addition, the interviews revealed a lack of data-driven decision making. The importance of everyone having some understanding of data was also highlighted. Material factors such as money, time, data and e-commerce platforms were mostly seen as neutral factors and were not seen as a problem in the development of analytics.", "language": "en", "element": "description", "qualifier": "abstract", "schema": "dc"}, {"key": "dc.description.provenance", "value": "Submitted by Paivi Vuorio (paelvuor@jyu.fi) on 2021-09-02T06:50:57Z\nNo. of bitstreams: 0", "language": "en", "element": "description", "qualifier": "provenance", "schema": "dc"}, {"key": "dc.description.provenance", "value": "Made available in DSpace on 2021-09-02T06:50:57Z (GMT). No. of bitstreams: 0\n Previous issue date: 2021", "language": "en", "element": "description", "qualifier": "provenance", "schema": "dc"}, {"key": "dc.format.extent", "value": "67", "language": "", "element": "format", "qualifier": "extent", "schema": "dc"}, {"key": "dc.format.mimetype", "value": "application/pdf", "language": null, "element": "format", "qualifier": "mimetype", "schema": "dc"}, {"key": "dc.language.iso", "value": "eng", "language": null, "element": "language", "qualifier": "iso", "schema": "dc"}, {"key": "dc.rights", "value": "In Copyright", "language": "en", "element": "rights", "qualifier": null, "schema": "dc"}, {"key": "dc.subject.other", "value": "analytics", "language": "", "element": "subject", "qualifier": "other", "schema": "dc"}, {"key": "dc.title", "value": "A multi-case study of the analytical capabilities of Finnish e-commerce businesses : a resource-based view", "language": "", "element": "title", "qualifier": null, "schema": "dc"}, {"key": "dc.type", "value": "master thesis", "language": null, "element": "type", "qualifier": null, "schema": "dc"}, {"key": "dc.identifier.urn", "value": "URN:NBN:fi:jyu-202109024760", "language": "", "element": "identifier", "qualifier": "urn", "schema": "dc"}, {"key": "dc.type.ontasot", "value": "Pro gradu -tutkielma", "language": "fi", "element": "type", "qualifier": "ontasot", "schema": "dc"}, {"key": "dc.type.ontasot", "value": "Master\u2019s thesis", "language": "en", "element": "type", "qualifier": "ontasot", "schema": "dc"}, {"key": "dc.contributor.faculty", "value": "Informaatioteknologian tiedekunta", "language": "fi", "element": "contributor", "qualifier": "faculty", "schema": "dc"}, {"key": "dc.contributor.faculty", "value": "Faculty of Information Technology", "language": "en", "element": "contributor", "qualifier": "faculty", "schema": "dc"}, {"key": "dc.contributor.department", "value": "Informaatioteknologia", "language": "fi", "element": "contributor", "qualifier": "department", "schema": "dc"}, {"key": "dc.contributor.department", "value": "Information Technology", "language": "en", "element": "contributor", "qualifier": "department", "schema": "dc"}, {"key": "dc.contributor.organization", "value": "Jyv\u00e4skyl\u00e4n yliopisto", "language": "fi", "element": "contributor", "qualifier": "organization", "schema": "dc"}, {"key": "dc.contributor.organization", "value": "University of Jyv\u00e4skyl\u00e4", "language": "en", "element": "contributor", "qualifier": "organization", "schema": "dc"}, {"key": "dc.subject.discipline", "value": "Tietoj\u00e4rjestelm\u00e4tiede", "language": "fi", "element": "subject", "qualifier": "discipline", "schema": "dc"}, {"key": "dc.subject.discipline", "value": "Information Systems Science", "language": "en", "element": "subject", "qualifier": "discipline", "schema": "dc"}, {"key": "yvv.contractresearch.funding", "value": "0", "language": "", "element": "contractresearch", "qualifier": "funding", "schema": "yvv"}, {"key": "dc.type.coar", "value": "http://purl.org/coar/resource_type/c_bdcc", "language": null, "element": "type", "qualifier": "coar", "schema": "dc"}, {"key": "dc.rights.accesslevel", "value": "openAccess", "language": null, "element": "rights", "qualifier": "accesslevel", "schema": "dc"}, {"key": "dc.type.publication", "value": "masterThesis", "language": null, "element": "type", "qualifier": "publication", "schema": "dc"}, {"key": "dc.subject.oppiainekoodi", "value": "601", "language": "", "element": "subject", "qualifier": "oppiainekoodi", "schema": "dc"}, {"key": "dc.subject.yso", "value": "data", "language": null, "element": "subject", "qualifier": "yso", "schema": "dc"}, {"key": "dc.subject.yso", "value": "verkkokauppa", "language": null, "element": "subject", "qualifier": "yso", "schema": "dc"}, {"key": "dc.subject.yso", "value": "yritykset", "language": null, "element": "subject", "qualifier": "yso", "schema": "dc"}, {"key": "dc.subject.yso", "value": "kyvykkyys", "language": null, "element": "subject", "qualifier": "yso", "schema": "dc"}, {"key": "dc.subject.yso", "value": "data", "language": null, "element": "subject", "qualifier": "yso", "schema": "dc"}, {"key": "dc.subject.yso", "value": "electronic commerce", "language": null, "element": "subject", "qualifier": "yso", "schema": "dc"}, {"key": "dc.subject.yso", "value": "enterprises", "language": null, "element": "subject", "qualifier": "yso", "schema": "dc"}, {"key": "dc.subject.yso", "value": "capability", "language": null, "element": "subject", "qualifier": "yso", "schema": "dc"}, {"key": "dc.format.content", "value": "fulltext", "language": null, "element": "format", "qualifier": "content", "schema": "dc"}, {"key": "dc.rights.url", "value": "https://rightsstatements.org/page/InC/1.0/", "language": null, "element": "rights", "qualifier": "url", "schema": "dc"}, {"key": "dc.type.okm", "value": "G2", "language": null, "element": "type", "qualifier": "okm", "schema": "dc"}]
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