Francisco-Jose Molina-Castillo

Bio: Francisco-Jose Molina-Castillo is an academic researcher from University of Murcia. The author has contributed to research in topics: New product development & Product (category theory). The author has an hindex of 16, co-authored 35 publications receiving 938 citations.

The impact of digitalization on business models

Abstract: 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.

The effect of information overload and disorganisation on intention to purchase online: The role of perceived risk and internet experience

Abstract: Purpose – The purpose of this paper is to develop a research model that examines the effect of information overload and information disorganisation upon customers’ perceived risk and purchase intention online in a single integrative model. In addition the paper investigates whether internet experience moderates these relationships. Design/methodology/approach – To achieve the paper's objectives an experiment that involved visiting the ten most visited e-commerce web sites in Spain was conducted. Hypotheses were tested by using structural equation modelling on a data set of 1,396 online shopping customers. Findings – The results suggest a positive relationship between information overload and customer purchase intention and that internet experience reinforces this positive effect. Moreover the results confirm that the relationship between information disorganisation and customer purchase intention is not significant and that internet experience does not moderate the relationship. The findings also indicate...

Interactive home shopping: Consumer, retailer, and manufacturer incentives to participate in

Abstract: The authors examine the implications of electronic shopping for consumers, retailers, and manufacturers. They assume that near-term technological developments will offer consumers unparalleled opportunities to locate and compare product offerings. They examine these advantages as a function of typical consumer goals and the types of products and services being sought and offer conclusions regarding consumer incentives and disincentives to purchase through interactive home shopping vis-à-vis traditional retail formats. The authors discuss implications for industry structure as they pertain to competition among retailers, competition among manufacturers, and retailer-manufacturer relationships.

Models and methods in social network analysis

Abstract: Models and Methods in Social Network Analysis presents the most important developments in quantitative models and methods for analyzing social network data that have appeared during the 1990s. Intended as a complement to Wasserman and Faust’s Social Network Analysis: Methods and Applications, it is a collection of original articles by leading methodologists reviewing recent advances in their particular areas of network methods. Reviewed are advances in network measurement, network sampling, the analysis of centrality, positional analysis or blockmodeling, the analysis of diffusion through networks, the analysis of affiliation or “two-mode” networks, the theory of random graphs, dependence graphs, exponential families of random graphs, the analysis of longitudinal network data, graphic techniques for exploring network data, and software for the analysis of social networks.

Alone Together: Why We Expect More from Technology and Less from Each Other

Abstract: Nationality: American Education: Ph.D. in Sociology and Personality... Alone Together: Why We Expect More from Technology … https://www.goodreads.com/book/show/8694125-alone-together Start by marking “Alone Together: Why We Expect More from Technology and Less from Each Other†as Want to Read: ... Unfortunately I am no closer to telling you why we expect more from technology & less from each other than I was before I read this book. One of the main things that bothered me about this book was that, even though I was really interested in these …

IoT-Based Intelligent Perception and Access of Manufacturing Resource Toward Cloud Manufacturing

Abstract: Recently, cloud manufacturing (CMfg) as a new service-oriented manufacturing mode has been paid wide attention around the world. However, one of the key technologies for implementing CMfg is how to realize manufacturing resource intelligent perception and access. In order to achieve intelligent perception and access of various manufacturing resources, the applications of IoT technologies in CMfg has been investigated in this paper. The classification of manufacturing resources and services, as well as their relationships, are presented. A five-layered structure (i.e., resource layer, perception layer, network layer, service layer, and application layer) resource intelligent perception and access system based on IoT is designed and presented. The key technologies for intelligent perception and access of various resources (i.e., hard manufacturing resources, computational resources, and intellectual resources) in CMfg are described. A prototype application system is developed to valid the proposed method.