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Business value of in-memory technology – multiple-case study insights

Bärenfänger, Rieke; Otto, Boris; Österle, Hubert - In: Industrial Management & Data Systems 114 (2014) 9, pp. 1396-1414

Purpose – The purpose of this paper is to assess the business value of in-memory computing (IMC) technology by analyzing its organizational impact in different application scenarios. Design/methodology/approach – This research applies a multiple-case study methodology analyzing five cases of...

Persistent link: https://www.econbiz.de/10014825878

How the Internet of Things can help knowledge management: a case study from the automotive domain

Uden, Lorna; He, Wu - In: Journal of Knowledge Management 21 (2017) 1, pp. 57-70

Purpose Current knowledge management (KM) systems cannot be used effectively for decision-making because of the lack of real-time data. This study aims to discuss how KM can benefit by embedding Internet of Things (IoT). Design/methodology/approach The paper discusses how IoT can help KM to...

Persistent link: https://www.econbiz.de/10014880797

Managing extracted knowledge from big social media data for business decision making

He, Wu; Wang, Feng-Kwei; Akula, Vasudeva - In: Journal of Knowledge Management 21 (2017) 2, pp. 275-294

Purpose This paper aims to propose a knowledge management (KM) framework for leveraging big social media data to help interested organizations integrate Big Data technology, social media and KM systems to store, share and leverage their social media data. Specifically, this research focuses on...

Persistent link: https://www.econbiz.de/10014880799

Data-driven business model development – insights from the facility management industry

Marcinkowski, Bartosz; Gawin, Bartlomiej - In: Journal of Facilities Management 19 (2020) 2, pp. 129-149

/value The research expands knowledge regarding BMs and their evolution. The gap regarding the DDBM innovation within the FM …

Persistent link: https://www.econbiz.de/10014867666

Big data and Internet of Things (IoT) technologies in Omani banks: a case study

Saxena, Stuti; Ali Said Mansour Al-Tamimi, Tariq - In: foresight 19 (2017) 4, pp. 409-420

Purpose The purpose of this paper is to underline the significance of invoking Big Data and Internet of Things (IoT) technologies in Omani Banks. Opportunities and challenges are also being discussed in the case study. Design/methodology/approach Four Omani banks representative of local,...

Persistent link: https://www.econbiz.de/10014743472

Improving the use of analytics and big data by changing the decision-making culture

Frisk, Jane Elisabeth; Bannister, Frank - In: Management Decision 55 (2017) 10, pp. 2074-2088

Purpose Evolving digital technologies continue to enable new ways to collect and analyze data and this has led some researchers to claim that skillful use of data analytics and big data can radically improve a company’s performance, but that in order to achieve such improvements managers need...

Persistent link: https://www.econbiz.de/10014935788

Self-certification framework for technological innovation: a case study

Kim, Dong-Young; Hwang, Young-Ha - In: International Journal of Quality & Reliability Management 31 (2014) 7, pp. 751-763

Purpose – The purpose of this paper is to present a self-certification framework for assessing technological innovation …-certification program can lead to product and process innovation. Design/methodology/approach – Using the case study method in a large … certification program has a positive effect on innovation and marketing performance. Originality/value – This study makes three …

Persistent link: https://www.econbiz.de/10014802154

Using data mining/data repository methods to identify marketing opportunities in health care

Rafalski, Edward - In: Journal of Consumer Marketing 19 (2002) 7, pp. 607-613

Using data mining techniques, opportunities for improving continuity of care, improving patient satisfaction, and enhancing system revenue were discovered at Sinai Health System, Chicago by analyzing the compliance of patients in prenatal care and subsequent delivery at the hospital with which...

Persistent link: https://www.econbiz.de/10014848308

A novel approach based on utility mining for store layout: a case study in a supermarket

Altuntas, Serkan - In: Industrial Management & Data Systems 117 (2017) 2, pp. 304-319

Purpose The purpose of this paper is to propose a novel approach based on utility mining for store layout. Design/methodology/approach A utility mining-based data mining algorithm is utilized in this paper. Findings A real-life case study in a supermarket is conducted to illustrate the proposed...

Persistent link: https://www.econbiz.de/10014825373

Multivariate credit portfolio management using cluster analysis

Klotz, Stefan; Lindermeir, Andreas - In: The Journal of Risk Finance 16 (2015) 2, pp. 145-163

Purpose – This paper aims to improve decision making in credit portfolio management through analytical data-mining methods, which should be used as data availability and data quality of credit portfolios increase due to (semi-)automated credit decisions, improved data warehouses and heightened...

Persistent link: https://www.econbiz.de/10014902058

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