---
res:
  bibo_abstract:
  - Recent growth in data volume, variety, and velocity led to an increased demand
    for high-performance data processing and analytics solutions. In-memory computing
    (IMC) enables organizations to boost their information processing capacity, and
    is widely acknowledged to be one of the leading strategic technologies in the
    field of enterprise systems. The majority of technology vendors now have IMC technologies
    in their portfolio, and the interest of companies in adopting such solutions in
    order to benefit from big data is increasing. Although there is first research
    on the business value of IMC in the form of case studies, there is a lack of large-scale
    quantitative evidence on the positive effect of such solutions on firm performance.
    Based on a unique panel data set of IMC adoption information and financial firm
    performance data for a sample of companies from the Fortune 500 list this study
    aims at explaining the relationship between the adoption of IMC solutions and
    firm performance. In this research-in-progress paper we discuss the theoretical
    background of our work, describe the proposed research design, and develop five
    hypotheses for later testing. Our work aims at contributing to the research streams
    on IT business value and business analytics by helping to better understand the
    nature of the interdependencies between IMC adoption and firm performance. @eng
  bibo_authorlist:
  - foaf_Person:
      foaf_givenName: Maria
      foaf_name: Fay, Maria
      foaf_surname: Fay
  - foaf_Person:
      foaf_givenName: Oliver
      foaf_name: Müller, Oliver
      foaf_surname: Müller
      foaf_workInfoHomepage: http://www.librecat.org/personId=72849
  - foaf_Person:
      foaf_givenName: Jan
      foaf_name: vom Brocke, Jan
      foaf_surname: vom Brocke
  dct_date: 2016^xs_gYear
  dct_language: eng
  dct_title: Disentangling the Relationship Between the Adoption of In-Memory Computing
    and Firm Performance@
...