The analytics paradigm in business research

Delen, Dursun; Zolbanin, Hamed Majidi

doi:10.1016/j.jbusres.2018.05.013

Cited by 135 publications

(104 citation statements)

References 63 publications

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“…There is value in both traditional research approaches that examine, for example, hypotheses derived from practice and theory, as well as predictive analytics that commonly emphasize solving business problems with data (Babin, Griffin & Hair 2015;Delen & Zolbanin 2018). Indeed, tools and techniques are increasingly available that inform different levels of sophisticated intelligence (Davenport & Harris 2017).…”

Section: Changing Role Of Marketing Researchmentioning

confidence: 99%

“…Há valor em ambas as abordagens de pesquisa tradicionais que examinam, por exemplo, hipóteses derivadas da prática e da teoria, bem como análises preditivas que, geralmente, enfatizam a solução de problemas de negócios com dados (Babin, Griffin, & Hair, 2015;Delen & Zolbanin, 2018). De fato, tanto ferramentas como técnicas, que informam diferentes níveis de inteligência sofisticada, estão cada vez mais disponíveis (Davenport & Harris, 2017).…”

Section: Mudando O Papel Da Pesquisa Em Marketingunclassified

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Marketing Research in the 21st Century: Opportunities and Challenges

Hair

Harrison

Risher³

2018

Rev. Bras. Mark.

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The role of marketing for consumers and businesses is rapidly evolving (Ferrell, Hair, Marshall Tamilia 2015). Indeed, the marketing function is fundamentally changing as a result of the digital transformation, data, data analytics and most recently, personal mobile devices, such as infusion software, which track time as individuals work or play, can search for local businesses or customers while in a coffee shop, send an invoice or quote from a clients office, and much more (Shah et al 2014). Marketing research design and analysis methods are also changing rapidly (Hair, Black, Babin Anderson 2019). These changes are emerging from transformations in management skills (Henke, Levine McInerney 2018; Davenport 2018), technological innovation, particularly in the digital space (Davenport 2018), and continuously evolving customer behavior (needs and expectations) (Wedel Kannan 2016). To continue being relevant, marketing research must remain as dynamic as the markets themselves.

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Section: Changing Role Of Marketing Researchmentioning

confidence: 99%

Section: Mudando O Papel Da Pesquisa Em Marketingunclassified

Marketing Research in the 21st Century: Opportunities and Challenges

Hair

Harrison

Risher³

2018

Rev. Bras. Mark.

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“…The ability to access, analyse and manage vast volumes of data with the support of robust information architecture -that is, big data predictive analytics (BDPA) -to improve the performance of manufacturing organizations has generated enormous interest among academia and industry (Aydiner et al, 2019;Delen and Zolbanin, 2018;Malomo and Sena, 2017;Matthias et al, 2017;Srinivasan and Swink, 2018). The information systems literature broadly conceptualizes BDPA as organizational capability (Srinivasan and Swink, 2018), to process large volumes and varieties of data with the velocity required to gain relevant insights, thereby enabling organizations to gain competitive advantage Fosso Wamba et al, 2015;Gupta and George, 2016;Pauleen and Wang, 2017;Srinivasan and Swink, 2018).…”

Section: Introductionmentioning

confidence: 99%

Big Data and Predictive Analytics and Manufacturing Performance: Integrating Institutional Theory, Resource‐Based View and Big Data Culture

Dubey

Gunasekaran

Childe

et al. 2019

British J of Management

568

395

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The importance of big data and predictive analytics has been at the forefront of research for operations and manufacturing management. The literature has reported the influence of big data and predictive analytics for improved supply chain and operational performance, but there has been a paucity of literature regarding the role of external institutional pressures on the resources of the organization to build big data capability. To address this gap, this paper draws on the resource‐based view of the firm, institutional theory and organizational culture to develop and test a model that describes the importance of resources for building capabilities, skills and big data culture and subsequently improving cost and operational performance. We test our research hypotheses using 195 surveys, gathered using a pre‐tested questionnaire. Our contribution lies in providing insights regarding the role of external pressures on the selection of resources under the moderating effect of big data culture and their utilization for capability building, and how this capability affects cost and operational performance.

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“…Analitiğin kullanılmasının başlangıcı yönetimde bilimselliğin ortaya çıktığı 1910'lu yıllara kadar geriye götürmek mümkündür (Mortenson,Doherty ve Robinson, 2015).Analitik, 1940'lı yıllarda sınırlı kaynaklarla maksimum çıktıyı elde edebilen optimizasyon ve simülasyon tekniklerinin devamı olarak düşünülebilir (Delen ve Zolbanin, 2018). 1960'lı yılların sonunda verileri analiz etmek ve karar vericileri desteklemek amacıyla bilgisayar sistemlerinin kullanılmaya başlaması analitiğin kullanımının da başlamasına sebep olmuştur.…”

Section: Anali̇ti̇ği̇n Tari̇hçesi̇unclassified

“…2000'lerin sonlarında ise İA, İş Zekâsı'nın çok önemli ve analitik bir bileşeni olarak kullanılmaya başlandı (Krishnamoorthi ve Mathew, 2018). Bu yıllarda Veri/Metin Madenciliği, Bulut Programlama, SaaS (Software as a Service) yöntemleri de gelişti (Delen ve Zolbanin, 2018). 2010'larda ise büyük ölçüde internetin mobil cihazlar vb.…”

Section: Anali̇ti̇ği̇n Tari̇hçesi̇unclassified

Business analytics and value chain: A comprehensive and systematic literature review

Bilgiç

Türkmenoğlu

Batı

2019

Erciyes Üniversitesi İktisadi Ve İdari Bilimler Fakültesi Dergisi

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Bilgi ve iletişim teknolojilerindeki yaşanan hızlı gelişmeler iş dünyasında da köklü değişimlere yol açmaktadır. Günümüz firmaları rekabet edebilmek amacıyla hızlı bir biçimde değişen ve gelişen veri kaynaklarını takip etmek, veri toplama ve depolama teknolojilerini güncellemek, veriyi her geçen gün daha etkin yönetmek ve veriden faydalı bilgiler elde edip bu bilgileri değere dönüştürmek zorundadır. Firmalar, İş Analitiği sayesinde sahip oldukları verilerden yararlı bilgiler elde edip bu bilgilerle karar verme süreçlerini destekleyip rekabet avantajı sağlamakta ve stratejik değer elde etmektedir. Bu derleme çalışmasında İş Analitiği konusu sistematik bir biçimde ayrıntılı olarak incelenecek ayrıca Değer Zinciri Analizi ile bağlantısı kurulacaktır. Bu sayede İş Analitiğinden faydalanan firmaların ne tür değerler geliştirdikleri Değer Zinciri Analizi perspektifinden ortaya konacaktır.

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The analytics paradigm in business research

Cited by 135 publications

References 63 publications

Marketing Research in the 21st Century: Opportunities and Challenges

Marketing Research in the 21st Century: Opportunities and Challenges

Big Data and Predictive Analytics and Manufacturing Performance: Integrating Institutional Theory, Resource‐Based View and Big Data Culture

Business analytics and value chain: A comprehensive and systematic literature review

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