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Journal

The Reveal of Organizational Culture in Big Data-Based Organizations

Management Analysis Journal · Vol. 10 No. 4 (2021) · pp. 384–391

DOI
10.15294/maj.v10i4.50934
ISSN
2502-1451, 2252-6552
Published
2021-12-29
Publisher
Universitas Negeri Semarang
Language
eng

Abstract

The key success of an organization's business cannot be separated from the culture that develops in organization. Therefore, organizational culture as a set of values and rules plays very important to build organizational identity. Organizational culture can be designed through the technology which applied in the organization, because technology can be shaped the organizational structure. The purpose of this study is to reveal how far the organizational culture in an organization based on big data technology are formed. This analyzed uses the phenomenological method, focused in electric power services company, precisely at PT. Serkolinas. Data analysis was obtained through field observations and a number of unstructured interviews with a number of eight informants. The results showed that organizational culture can be formed through the technology applied in the organization. Technology as a suggestion in facilitating activities to encourage the perception and behavior of organizational members into a new symbol expressed in daily activities to support of organizational goals..

Collaboration network of the authors

14 authors · 23 co-authorship links

Hover or tap a name to highlight its co-authors. Double-click to open the author's page.

  • Diponegoro University
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Yohanes SuhardjoAffiliation unknown2
rr Lulus Prapti NSSAffiliation unknown2
Rohmini Indah LestariAffiliation unknown2
Edy SuryawardanaAffiliation unknown1
Susanto SusantoAffiliation unknown1
Asih NiatiAffiliation unknown1
Sugeng WahyudiDiponegoro University1
Irene Rini Demi PangestutiDiponegoro University1
Candra - SafitriAffiliation unknown1
Agung - BudiartonoAffiliation unknown1
Anindya ArdiansariAffiliation unknown1

Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.

Metadata source: OAI-PMH (metadata jurnal) https://journal.unnes.ac.id/sju/index.php/maj/oai, first harvested 6 Nov 2026, last seen 6 Nov 2026.
Original metadata (oai_dc)
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	<dc:title xml:lang="en-US">The Reveal of Organizational Culture in Big Data-Based Organizations</dc:title>
	<dc:creator>Setyowati, Ani</dc:creator>
	<dc:creator>Widyakto, Adhi</dc:creator>
	<dc:creator>Hanifah, Risti Ulfi</dc:creator>
	<dc:description xml:lang="en-US">The key success of an organization's business cannot be separated from the culture that develops in organization. Therefore, organizational culture as a set of values and rules plays very important to build organizational identity. Organizational culture can be designed through the technology which applied in the organization, because technology can be shaped the organizational structure. The purpose of this study is to reveal how far the organizational culture in an organization based on big data technology are formed. This analyzed uses the phenomenological method, focused in electric power services company, precisely at PT. Serkolinas. Data analysis was obtained through field observations and a number of unstructured interviews with a number of eight informants. The results showed that organizational culture can be formed through the technology applied in the organization. Technology as a suggestion in facilitating activities to encourage the perception and behavior of organizational members into a new symbol expressed in daily activities to support of organizational goals..</dc:description>
	<dc:publisher xml:lang="en-US">Universitas Negeri Semarang</dc:publisher>
	<dc:date>2021-12-29</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:type xml:lang="en-US">Peer-reviewed Article</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://journal.unnes.ac.id/sju/maj/article/view/50934</dc:identifier>
	<dc:identifier>10.15294/maj.v10i4.50934</dc:identifier>
	<dc:source xml:lang="en-US">Management Analysis Journal; Vol 10 No 4 (2021): Management Analysis Journal; 384-391</dc:source>
	<dc:source>2502-1451</dc:source>
	<dc:source>2252-6552</dc:source>
	<dc:source>10.15294/maj.v10i4</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://journal.unnes.ac.id/sju/maj/article/view/50934/20929</dc:relation>
	<dc:rights xml:lang="en-US">Copyright (c) 2021 Management Analysis Journal</dc:rights>
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