Maria Jose Alvarez Gil

Prof. Maria Jose Alvarez Gil

orcid

Research Focus & Metrics

Academic Career Length

33Years (1994-Present)

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

Representative Publications

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1 December 2001 in Omega
Verified
Journal Article
Closed access
MGMaria Jose Alvarez Gil
Maria Jose Alvarez Gil
JJJ Burgos Jiménez
J Burgos Jiménez
JLJ.J Céspedes Lorente
J.J Céspedes Lorente

1 May 2007 in Journal of Business Research
Verified
Journal Article
Closed access
MGMaria Jose Alvarez Gil
Maria Jose Alvarez Gil
PBPascual Berrone
Pascual Berrone
FHF. Javier Husillos
F. Javier Husillos
NLNora Lado
Nora Lado

1 September 2003 in Scandinavian Journal of Management
Verified
Journal Article
Closed access
JCJosé Céspedes-Lorente
José Céspedes-Lorente
JBJerónimo de Burgos-Jiménez
Jerónimo de Burgos-Jiménez
MGMaria Jose Alvarez Gil
Maria Jose Alvarez Gil

11 May 2015 in Supply Chain Management: An International Journal
Verified
Journal Article
Closed access
ETElcio M Tachizawa
Elcio M Tachizawa
MGMaria Jose Alvarez Gil
Maria Jose Alvarez Gil
MMMaría José Montes-Sancho
María José Montes-Sancho
Purpose: – The purpose of this paper is to analyze the impact of smart city initiatives and big data on supply chain management (SCM). More specifically, the connections between smart cities, big data and supply network characteristics (supply network structure and governance mechanisms) are investigated. Design/methodology/approach: – An integrative framework is proposed, grounded on a literature review on smart cities, big data and supply networks. Then, the relationships between these constructs are analyzed, using the proposed integrative framework. Findings: – Smart cities have different implications to network structure (complexity, density and centralization) and governance mechanisms (formal vs informal). Moreover, this work highlights and discusses the future research directions relating to smart cities and SCM. Research limitations/implications: – The relationships between smart cities, big data and supply networks cannot be described simply by using a linear, cause-and-effect framework. Accordingly, an integrative framework that can be used in future empirical studies to analyze smart cities and big data implications on SCM has been proposed. Practical implications: – Smart cities and big data alone have limited capacity of improving SCM processes, but combined they can support improvement initiatives. Nevertheless, smart cities and big data can also suppose some novel obstacles to effective SCM. Originality/value: – Several studies have analyzed information technology innovation adoption in supply chains, but, to the best of our knowledge, no study has focused on smart cities.

27 October 2003 in Journal of Operations Management
Verified
Journal Article
Closed access
MDMacarena Sacristán Dı́az
Macarena Sacristán Dı́az
JMJosé A.D Machuca
José A.D Machuca
MGMaria Jose Alvarez Gil
Maria Jose Alvarez Gil

1 January 2011 in Spanish Journal of Finance and Accounting / Revista Española de Financiación y Contabilidad
Verified
Journal Article
Closed access
JHJavier Husillos
Javier Husillos
CGCarlos Larrinaga González
Carlos Larrinaga González
MGMaria Jose Alvarez Gil
Maria Jose Alvarez Gil
The emergence of triple bottom line reporting by organizations in Spain is the context in which the present work have tried to understand the influence of both external and internal contexts on social and environmental disclosures. The material for this study is drawn from semi-structured interviews with 30 managers of 20 Spanish organizations with responsibility for the preparation of TBL reports. The narratives provided by the interviewees suggest that internal (organizational and individual) and external contexts are both important in the explanation of social and environmental disclosure practices. One of the study's main findings is that certain assemblages of external and internal influences exist that can either enhance or inhibit the development of TBL reports.