Francisco-Jose Molina-Castillo

Dr. Francisco-Jose Molina-Castillo

University of Murcia (Spain)
orcid

Research Focus & Metrics

Academic Career Length

20Years (2007-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 September 2008 in Information & Management
Verified
Journal Article
Closed access
CLCarolina Lopez-Nicolas
Carolina Lopez-Nicolas
Francisco-Jose Molina-CastilloFrancisco-Jose Molina-Castillo
Francisco-Jose Molina-Castillo
HBHarry Bouwman
Harry Bouwman

1 August 2010 in Telematics and Informatics
Verified
Journal Article
Closed access
HVHannu Verkasalo
Hannu Verkasalo
CLCarolina Lopez-Nicolas
Carolina Lopez-Nicolas
Francisco-Jose Molina-CastilloFrancisco-Jose Molina-Castillo
Francisco-Jose Molina-Castillo
HBHarry Bouwman
Harry Bouwman

12 March 2018 in Digital Policy, Regulation and Governance
Verified
Journal Article
Open access
HBHarry Bouwman
Harry Bouwman
Shahrokh NikouShahrokh Nikou
Shahrokh Nikou
Francisco-Jose Molina-CastilloFrancisco-Jose Molina-Castillo
Francisco-Jose Molina-Castillo
MRMark de Reuver
Mark de Reuver
Purpose: This paper aims to explore how digital technologies have forced small- to medium-sized enterprises (SMEs) to reconsider and experiment with their business models (BMs) and how this contributes to their innovativeness and performance. Design/methodology/approach: An empirical study has been conducted on 338 European SMEs actively using social media and big data to innovate their BMs. Four in-depth case studies of companies involved in BM innovation have also been carried out. Findings: Findings show that the use of social media and big data in BMI is mainly driven by strategic and innovation-related internal motives. External technology turbulence plays a role too. BMI driven by social media and big data has a positive impact on business performance. Analysis of the case studies shows that BM is driven by big data rather than by social media. Research limitations/implications: Research into big data- and social media-driven BMs needs more insight into how components are affected and how SMEs are experimenting with adjusting their BMs, specifically in terms of human and organizational factors. Practical implications: Findings of this study can be used by managers and top-level executives to better understand how firms experiment with BMI, what affects business model components and how implementation might affect BMI performance. Originality/value: This paper is one of the first research contributions to analyse the impact of digitalization, specifically the impact of social media and big data on a large number of European SMEs.

1 May 2007 in Telematics and Informatics
Verified
Journal Article
Closed access
HBHarry Bouwman
Harry Bouwman
CCChrister Carlsson
Christer Carlsson
Francisco-Jose Molina-CastilloFrancisco-Jose Molina-Castillo
Francisco-Jose Molina-Castillo
PWPirkko Walden
Pirkko Walden

1 April 2008 in International Journal of Information Management
Verified
Journal Article
Closed access
CLCarolina Lopez-Nicolas
Carolina Lopez-Nicolas
Francisco-Jose Molina-CastilloFrancisco-Jose Molina-Castillo
Francisco-Jose Molina-Castillo

1 October 2011 in Industrial Marketing Management
Verified
Journal Article
Closed access
Francisco-Jose Molina-CastilloFrancisco-Jose Molina-Castillo
Francisco-Jose Molina-Castillo
DJDaniel Jimenez-Jimenez
Daniel Jimenez-Jimenez
JMJose-Luis Munuera-Aleman
Jose-Luis Munuera-Aleman