Wednesday, June 12, 2024

[DMANET] 1ST Special Session On Business Intelligence And Data Science For Sustainable Supply Chain (ICMarkTech’24, Azores Portugal)

1ST SPECIAL SESSION ON BUSINESS INTELLIGENCE AND DATA SCIENCE FOR
SUSTAINABLE SUPPLY CHAIN
BACKGROUND
ICMarkTech'24 – The 2024 International Conference on Marketing and
Technologies, LREC – Regional Civil Engineering Laboratory in partnership
with University of the Azores, from December 5th to 7th, 2024.


DESCRIPTION

This workshop calls for research revolving around Business intelligence and
Data science for sustainable supply chains. Papers at the intersection of
these two domains are especially welcome, and we incentivize authors to
consider the overarching conference theme of technology in their
submissions.

We aim to bring together scholars interested in the ever-evolving dynamics
of the digital world and their impact on sustainable logistics theories and
practices. An up-to-date knowledge of Business intelligence and data
science is essential to tackle the broader challenges of sustainability
that come together with connectivity, globalization, and the increasing use
of technology in supply chain management.

Papers from marketing and other management areas are welcome. Papers should
meaningfully advance current knowledge.


TOPICS

*Participants are invited to submit papers on the following topics:*

- Logistics marketing
- Supply chain and marketing for a sustainable business
- Supply chain business models
- Intelligent systems for networking systems and iot
- Intelligent traffic and transportation systems
- Business intelligence research
- Previous and current trends in logistics
- Forecasts future trends in sustainable supply chain development
- Sustainable supply chain strategies
- Holistic approach toward attaining environmental, social, and economic
concerns of the supply chain
- Data science for decision-making for the sustainable supply chain
development
- Business intelligence to support decision-making that affect the
company bottom-line results
- Business intelligence and maintenance of key assets and infrastructures
- Business intelligence and value recognized by stakeholders in the
supply chain
- Machine learning models for business intelligence tasks
- Business intelligence and the impacts of logistics operations
- Business intelligence and connectivity services in foreland
- Business intelligence and connectivity services in hinterland
- Data science compliance with all ethical and legal standards
- Data protection in multimodal logistics platforms
- Other topics converging with the workshop theme


PUBLICATIONS OF APPROVED WORKS

· In English: Smart Innovation, Systems and Technologies Collection,
Springer.

· Extended versions of selected papers that meet the journal scope
will integrate a special issue in "Innovative Marketing", which is indexed
in Scopus, among others, classified as Q3 (Scopus, 2020) in the areas of
Economics, Econometrics and Finance, Management of Technology and
Innovation, and Marketing.

· Extended versions of selected papers will be considered for a
special issue in "Spanish Journal of Marketing – ESIC ". Scopus classifies
SJM-ESIC in the top 20% (38 of 195) Marketing journals with a
CiteScore(2021)=6.8 in the Marketing category.

For more information, please visit the official website:
https://icmarktech.org/special-sessions/1st-work-session-business-intelligence-and-data-science-for-sustainable-supply-chain/


Kind regards,

*Telmo Pinto*

*University of Coimbra • Faculty of Sciences and Technology *DEM • Pólo
II • Rua Luís Reis Santos | 3030-788 • Coimbra • Portugal
Tel: +351 239 790 717 (Ext: 441402)

Email: telmo.pinto@uc.pt

URL: orcid.org/0000-0003-1087-7941

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