A business intelligence approach using web search tools and online data reduction techniques to examine the value of product-enabled services

Tanev, Stoyan; Liotta, Giacomo; Kleismantas, Andrius

doi:10.1016/j.eswa.2015.06.006

Cited by 15 publications

(6 citation statements)

References 44 publications

(94 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…For examp le, Kusiak (2009) proposed a data-driven approach to evaluate the innovativeness of planned introductions of design changes and design of new products and services from a market perspective. Tanev et al (2015) proposed a business intelligence approach by utilizing web search tools and online data reduction techniques to examine the value of product-enabled services. Takenaka et al (2016) conducted an analytical study including to clarify users daily behaviors for new services design based on 600 users' smart appliance logs and their response of the survey on their lifestyles.…”

Section: Data-dri Ven Design For Servitizationmentioning

confidence: 99%

A systematic design approach for service innovation of smart product-service systems

Zheng

Lin

Chen

et al. 2018

Journal of Cleaner Production

334

155

View full text Add to dashboard Cite

Section: Data-dri Ven Design For Servitizationmentioning

confidence: 99%

A systematic design approach for service innovation of smart product-service systems

Zheng

Lin

Chen

et al. 2018

Journal of Cleaner Production

334

155

View full text Add to dashboard Cite

“…A business intelligence approach using web search tools and online data reduction techniques to examine the value of product-enabled services [54] Expert systems with applications (2015)…”

Section: Title Source Abstractmentioning

confidence: 99%

Leveraging Business Intelligence Systems for Enhanced Corporate Competitiveness: Strategy and Evolution

Jiménez-Partearroyo,

Medina-López

2024

Systems

View full text Add to dashboard Cite

This study contextualizes the transformative role of Business Intelligence (BI) over the past two decades, emphasizing its impact on business strategy and competitive advantage. Employing a dual-method approach, it integrates a bibliometric analysis using SciMAT with a qualitative examination of six key articles from the Web of Science (WoS), analyzed through the Gioia methodology, focusing on BI and competitiveness. The aim is to examine the metamorphosis of Business Intelligence (BI) and how it has evolved from a traditionally supporting role to a central strategic player in shaping corporate strategy and business competitive advantage over the past two decades. It discusses the overall transformation of BI and provides an in-depth examination of the specific ways in which Business Intelligence tools have redefined the landscape in contemporary business practices. Key findings reveal BI’s pivotal role in enhancing knowledge management, innovation, and marketing capabilities. Challenges in BI implementation, such as the necessity for skilled personnel and adaptability to swift technological shifts, are also highlighted. Results advocate for a dynamic BI approach, adaptable to market trends and technological evolutions. The research demonstrates that BI tools, especially when integrated with technologies like AI, IoT, and machine learning, significantly enhances decision making and efficiency in socio–technical and management systems, leading to a paradigm shift in handling complex systems and adapting to changing environments.

show abstract

“…One of the ways for new ventures to address this business intelligence need is to benefit from the increasingly available open source web search and text analytics tools as a way to search for, collect, and analyze publicly available competitor information about newly introduced market offers and innovative applications of new and emerging technologies. This can help them generate valuable insights about their competitive market offer (Tanev et al, 2015).…”

Section: Introductionmentioning

confidence: 99%

Using Web Text Analytics to Categorize the Business Focus of Innovative Digital Health Companies

Aweisi¹,

Arora²,

Emby³

et al. 2021

TIM Review

Self Cite

View full text Add to dashboard Cite

A business intelligence approach using web search tools and online data reduction techniques to examine the value of product-enabled services

Cited by 15 publications

References 44 publications

A systematic design approach for service innovation of smart product-service systems

A systematic design approach for service innovation of smart product-service systems

Leveraging Business Intelligence Systems for Enhanced Corporate Competitiveness: Strategy and Evolution

Using Web Text Analytics to Categorize the Business Focus of Innovative Digital Health Companies

Contact Info

Product

Resources

About