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Big Data Analytics in Innovation Context / Abdullah Hamadi

Swansea University Author: Abdullah Hamadi

  • E-Thesis – open access under embargo until: 24th August 2025

DOI (Published version): 10.23889/SUthesis.60983

Abstract

The potential of big data analytics (BDA) in enabling improvements in business processes has urged researchers and practitioners to understand whether and under what combination of conditions, such novel technologies can support innovation, competitive advantage, and firm performance. Although the e...

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Published: Swansea 2022
Institution: Swansea University
Degree level: Doctoral
Degree name: Ph.D
Supervisor: Hajli, Nick ; Ibrahim, Fahad ; Mulyata, John
URI: https://cronfa.swan.ac.uk/Record/cronfa60983
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fullrecord <?xml version="1.0"?><rfc1807><datestamp>2022-08-30T17:19:15.1826689</datestamp><bib-version>v2</bib-version><id>60983</id><entry>2022-08-30</entry><title>Big Data Analytics in Innovation Context</title><swanseaauthors><author><sid>8c9cf49bae90a9d50c07240f9347330d</sid><firstname>Abdullah</firstname><surname>Hamadi</surname><name>Abdullah Hamadi</name><active>true</active><ethesisStudent>false</ethesisStudent></author></swanseaauthors><date>2022-08-30</date><deptcode>BBU</deptcode><abstract>The potential of big data analytics (BDA) in enabling improvements in business processes has urged researchers and practitioners to understand whether and under what combination of conditions, such novel technologies can support innovation, competitive advantage, and firm performance. Although the extent of research in this area is substantial, research on the influence of the BDA components such as effective use of big data analytics tools and big data management on innovation process (IP), competitive advantage (CA), and financial performance (FP) must be conducted. This research examines the impact of effective use of BDA tools and big data management on the innovation process, competitive advantage and financial performance based on the resource-based view (RBV). Based on this conceptualisation, the current study examines the relationship between the BDA components (effective use of BDA tools and big data management) on the innovation process, competitive advantage, and financial performance. A questionnaire was designed to measure the influence of the effective use of big data analytics tools and big data management on the innovation process and its drivers on competitive advantage and financial performance. Quantitative data collected using an online survey method, and (n= 174) samples were gathered from top managers working in firms operating in the United Kingdom and the United States of America. The hypotheses and model fitness were tested in SPSS, AMOS v.26 using structural equation modelling (SEM). The findings indicate that applying the significant data analytics components (effective use of BDA tools and big data management) has a significant positive impact on the innovation process capabilities (&#x3B2; = .317, p = 0.000 and &#x3B2; = .490, p = 0.000), competitive advantage (&#x3B2; = .322, p = 0.000 and &#x3B2; = .298, p = 0.000), and financial performance (&#x3B2; = .188, p = 0.000 and &#x3B2; = .444 and p = 0.000). There is also a significant positive impact of the innovation process on competitive advantage (&#x3B2; = .485, p = 0.000), and the competitive advantage led to a financial performance (&#x3B2; = .397, p = 0.000). Statistical findings also show that the innovation process as mediator has a significant positive impact on financial performance (&#x3B2; = .333, p = 0.000). Surprisingly, firm mediators such as age (&#x3B2; = -.002 and p = 0.000), size (&#x3B2; = -.003 with p = 0.000), type of industry (&#x3B2; = -.008 with p = 0.000), and environment turbulence (&#x3B2; = -.001 with p = 0.000), were found not to positively impact a firm&#x2019;s financial performance.This work provides an original contribution to knowledge by extending and validating a new model and the factors affecting the innovation process, competitive advantage, and financial performance.</abstract><type>E-Thesis</type><journal/><volume/><journalNumber/><paginationStart/><paginationEnd/><publisher/><placeOfPublication>Swansea</placeOfPublication><isbnPrint/><isbnElectronic/><issnPrint/><issnElectronic/><keywords>Big Data, Big Data Analytics, Innovation, Innovation process, Competitive Advantage, Firm Performance, Financial Performance</keywords><publishedDay>24</publishedDay><publishedMonth>8</publishedMonth><publishedYear>2022</publishedYear><publishedDate>2022-08-24</publishedDate><doi>10.23889/SUthesis.60983</doi><url/><notes>ORCiD identifier: https://orcid.org/0000-0002-2101-2276</notes><college>COLLEGE NANME</college><department>Business</department><CollegeCode>COLLEGE CODE</CollegeCode><DepartmentCode>BBU</DepartmentCode><institution>Swansea University</institution><supervisor>Hajli, Nick ; Ibrahim, Fahad ; Mulyata, John</supervisor><degreelevel>Doctoral</degreelevel><degreename>Ph.D</degreename><apcterm/><funders/><projectreference/><lastEdited>2022-08-30T17:19:15.1826689</lastEdited><Created>2022-08-30T13:47:36.9275352</Created><path><level id="1">Faculty of Humanities and Social Sciences</level><level id="2">School of Management - Business Management</level></path><authors><author><firstname>Abdullah</firstname><surname>Hamadi</surname><order>1</order></author></authors><documents><document><filename>Under embargo</filename><originalFilename>Under embargo</originalFilename><uploaded>2022-08-30T14:12:01.1478623</uploaded><type>Output</type><contentLength>6076394</contentLength><contentType>application/pdf</contentType><version>E-Thesis &#x2013; open access</version><cronfaStatus>true</cronfaStatus><embargoDate>2025-08-24T00:00:00.0000000</embargoDate><documentNotes>Copyright: The author, Abdullah Hamadi, 2022.</documentNotes><copyrightCorrect>true</copyrightCorrect><language>eng</language></document></documents><OutputDurs/></rfc1807>
spelling 2022-08-30T17:19:15.1826689 v2 60983 2022-08-30 Big Data Analytics in Innovation Context 8c9cf49bae90a9d50c07240f9347330d Abdullah Hamadi Abdullah Hamadi true false 2022-08-30 BBU The potential of big data analytics (BDA) in enabling improvements in business processes has urged researchers and practitioners to understand whether and under what combination of conditions, such novel technologies can support innovation, competitive advantage, and firm performance. Although the extent of research in this area is substantial, research on the influence of the BDA components such as effective use of big data analytics tools and big data management on innovation process (IP), competitive advantage (CA), and financial performance (FP) must be conducted. This research examines the impact of effective use of BDA tools and big data management on the innovation process, competitive advantage and financial performance based on the resource-based view (RBV). Based on this conceptualisation, the current study examines the relationship between the BDA components (effective use of BDA tools and big data management) on the innovation process, competitive advantage, and financial performance. A questionnaire was designed to measure the influence of the effective use of big data analytics tools and big data management on the innovation process and its drivers on competitive advantage and financial performance. Quantitative data collected using an online survey method, and (n= 174) samples were gathered from top managers working in firms operating in the United Kingdom and the United States of America. The hypotheses and model fitness were tested in SPSS, AMOS v.26 using structural equation modelling (SEM). The findings indicate that applying the significant data analytics components (effective use of BDA tools and big data management) has a significant positive impact on the innovation process capabilities (β = .317, p = 0.000 and β = .490, p = 0.000), competitive advantage (β = .322, p = 0.000 and β = .298, p = 0.000), and financial performance (β = .188, p = 0.000 and β = .444 and p = 0.000). There is also a significant positive impact of the innovation process on competitive advantage (β = .485, p = 0.000), and the competitive advantage led to a financial performance (β = .397, p = 0.000). Statistical findings also show that the innovation process as mediator has a significant positive impact on financial performance (β = .333, p = 0.000). Surprisingly, firm mediators such as age (β = -.002 and p = 0.000), size (β = -.003 with p = 0.000), type of industry (β = -.008 with p = 0.000), and environment turbulence (β = -.001 with p = 0.000), were found not to positively impact a firm’s financial performance.This work provides an original contribution to knowledge by extending and validating a new model and the factors affecting the innovation process, competitive advantage, and financial performance. E-Thesis Swansea Big Data, Big Data Analytics, Innovation, Innovation process, Competitive Advantage, Firm Performance, Financial Performance 24 8 2022 2022-08-24 10.23889/SUthesis.60983 ORCiD identifier: https://orcid.org/0000-0002-2101-2276 COLLEGE NANME Business COLLEGE CODE BBU Swansea University Hajli, Nick ; Ibrahim, Fahad ; Mulyata, John Doctoral Ph.D 2022-08-30T17:19:15.1826689 2022-08-30T13:47:36.9275352 Faculty of Humanities and Social Sciences School of Management - Business Management Abdullah Hamadi 1 Under embargo Under embargo 2022-08-30T14:12:01.1478623 Output 6076394 application/pdf E-Thesis – open access true 2025-08-24T00:00:00.0000000 Copyright: The author, Abdullah Hamadi, 2022. true eng
title Big Data Analytics in Innovation Context
spellingShingle Big Data Analytics in Innovation Context
Abdullah Hamadi
title_short Big Data Analytics in Innovation Context
title_full Big Data Analytics in Innovation Context
title_fullStr Big Data Analytics in Innovation Context
title_full_unstemmed Big Data Analytics in Innovation Context
title_sort Big Data Analytics in Innovation Context
author_id_str_mv 8c9cf49bae90a9d50c07240f9347330d
author_id_fullname_str_mv 8c9cf49bae90a9d50c07240f9347330d_***_Abdullah Hamadi
author Abdullah Hamadi
author2 Abdullah Hamadi
format E-Thesis
publishDate 2022
institution Swansea University
doi_str_mv 10.23889/SUthesis.60983
college_str Faculty of Humanities and Social Sciences
hierarchytype
hierarchy_top_id facultyofhumanitiesandsocialsciences
hierarchy_top_title Faculty of Humanities and Social Sciences
hierarchy_parent_id facultyofhumanitiesandsocialsciences
hierarchy_parent_title Faculty of Humanities and Social Sciences
department_str School of Management - Business Management{{{_:::_}}}Faculty of Humanities and Social Sciences{{{_:::_}}}School of Management - Business Management
document_store_str 0
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description The potential of big data analytics (BDA) in enabling improvements in business processes has urged researchers and practitioners to understand whether and under what combination of conditions, such novel technologies can support innovation, competitive advantage, and firm performance. Although the extent of research in this area is substantial, research on the influence of the BDA components such as effective use of big data analytics tools and big data management on innovation process (IP), competitive advantage (CA), and financial performance (FP) must be conducted. This research examines the impact of effective use of BDA tools and big data management on the innovation process, competitive advantage and financial performance based on the resource-based view (RBV). Based on this conceptualisation, the current study examines the relationship between the BDA components (effective use of BDA tools and big data management) on the innovation process, competitive advantage, and financial performance. A questionnaire was designed to measure the influence of the effective use of big data analytics tools and big data management on the innovation process and its drivers on competitive advantage and financial performance. Quantitative data collected using an online survey method, and (n= 174) samples were gathered from top managers working in firms operating in the United Kingdom and the United States of America. The hypotheses and model fitness were tested in SPSS, AMOS v.26 using structural equation modelling (SEM). The findings indicate that applying the significant data analytics components (effective use of BDA tools and big data management) has a significant positive impact on the innovation process capabilities (β = .317, p = 0.000 and β = .490, p = 0.000), competitive advantage (β = .322, p = 0.000 and β = .298, p = 0.000), and financial performance (β = .188, p = 0.000 and β = .444 and p = 0.000). There is also a significant positive impact of the innovation process on competitive advantage (β = .485, p = 0.000), and the competitive advantage led to a financial performance (β = .397, p = 0.000). Statistical findings also show that the innovation process as mediator has a significant positive impact on financial performance (β = .333, p = 0.000). Surprisingly, firm mediators such as age (β = -.002 and p = 0.000), size (β = -.003 with p = 0.000), type of industry (β = -.008 with p = 0.000), and environment turbulence (β = -.001 with p = 0.000), were found not to positively impact a firm’s financial performance.This work provides an original contribution to knowledge by extending and validating a new model and the factors affecting the innovation process, competitive advantage, and financial performance.
published_date 2022-08-24T04:19:32Z
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score 11.037603

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