# Journal of Computing and Organizational Studies (JCOS)

> Journal of Computing and Organizational Studies (JCOS) is a peer-reviewed, open-access journal publishing research in Computer Science, Artificial Intelligence, Information Systems, Organizational Studies and Management.

JCOS is an international, peer-reviewed, open-access journal. Submissions are open all year at https://www.jcos-journal.org.uk/submit. All articles are free to read under CC BY 4.0.

## Key facts

- Full title: Journal of Computing and Organizational Studies
- Abbreviation: JCOS
- ISSN: JCOS-0894-3184-2026
- Founded: 2026
- Frequency: Quarterly — January, April, July, and October
- Publisher: JCOS Editorial Office, The Mille, Great West Road, London, TW8, United Kingdom
- Peer review: Double-blind
- Access: Open access, CC BY 4.0
- Article processing charge: ₹500 (Indian authors) or the US-dollar equivalent (international authors); refunded in full if not accepted
- Editors-in-Chief: Dr. Vijay D. Dhangar, Professor James Whitmore and Dr. Charlotte Bennett
- Website: https://www.jcos-journal.org.uk
- Contact: editor@jcos-journal.org.uk

## Indexing and archiving

- Google Scholar: Every article page carries Google Scholar citation metadata (Highwire Press tags) and links to the full text and PDF, to support indexing.
- Open access: All articles are free to read and download under CC BY 4.0, with machine-readable metadata for search engines and AI tools.
- Crossref / DOI: DOI registration through Crossref is planned. Until then, each article has a permanent JCOS link.
- Permanent identifiers: Every article has a permanent JCOS Article ID (for example JCOS.2026.1.1.001) and a permanent link that does not change.
- Archiving: Articles are published as HTML full text and as downloadable PDFs, listed in the site's sitemap and RSS feed.

## Scope

- Computer Science: Algorithms, software engineering, systems, networks, security and theoretical computing.
- Artificial Intelligence: Machine learning, NLP, generative AI, intelligent agents, responsible and explainable AI.
- Information Systems: Enterprise systems, digital transformation, data analytics, IS adoption and governance.
- Organizational Studies: Organizational behaviour, structure, culture, change and technology-enabled work.
- Management: Strategy, HRM, operations, innovation, entrepreneurship and technology management.

## Editorial board

- Dr. Vijay D. Dhangar, Editor-in-Chief
- Professor James Whitmore, Editor-in-Chief
- Dr. Charlotte Bennett, Editor-in-Chief
- Professor Oliver Harrington, Section Editor — Computer Science
- Dr. Eleanor Whitfield, Section Editor — Artificial Intelligence
- Professor Edward Kensington, Section Editor — Information Systems
- Dr. Victoria Ashford, Section Editor — Organizational Studies
- Professor Thomas Caldwell, Section Editor — Management
- Dr. Amelia Thornton, Associate Editor
- Professor William Pemberton, Associate Editor
- Dr. Sophie Lancaster, Associate Editor

## Main pages

- [About the journal and FAQ](https://www.jcos-journal.org.uk/about)
- [Aims and scope](https://www.jcos-journal.org.uk/aims-scope)
- [Current issue](https://www.jcos-journal.org.uk/current-issue)
- [All issues](https://www.jcos-journal.org.uk/issues)
- [Editorial board](https://www.jcos-journal.org.uk/editorial-board)
- [Author guidelines](https://www.jcos-journal.org.uk/author-guidelines)
- [Submit a manuscript](https://www.jcos-journal.org.uk/submit)
- [Peer review process](https://www.jcos-journal.org.uk/peer-review)
- [Open access and APC](https://www.jcos-journal.org.uk/open-access)
- [Publication ethics and policies](https://www.jcos-journal.org.uk/policies)
- [News and announcements](https://www.jcos-journal.org.uk/news)
- [Contact](https://www.jcos-journal.org.uk/contact)

## Published articles (4)

### Generative AI in Cross-Cultural Negotiations and International Business Communication Effectiveness: A Conceptual Framework and Research Agenda

- Authors: Saif Matin Patel, Manoj Kamber (Sandip University, Nashik, India; International Institute of Information Technology Bangalore, India)
- Published: Vol. 1, No. 1 (October 2026), pp. 1–12 · Review Paper
- Article ID: JCOS.2026.1.1.001 · Permanent link: https://www.jcos-journal.org.uk/id/JCOS.2026.1.1.001
- Article page: https://www.jcos-journal.org.uk/article/genai-cross-cultural-negotiations
- Full text: https://www.jcos-journal.org.uk/reader/genai-cross-cultural-negotiations · PDF: https://www.jcos-journal.org.uk/pdfs/jcos-genai-cross-cultural-negotiations.pdf
- Keywords: Generative AI, cross-cultural negotiation, international business communication, large language models, cultural intelligence, intercultural competence, high-context and low-context communication, machine translation, human-AI collaboration
- Cite as: Saif Matin Patel, Manoj Kamber (2026). Generative AI in Cross-Cultural Negotiations and International Business Communication Effectiveness: A Conceptual Framework and Research Agenda. Journal of Computing and Organizational Studies, 1(1), 1–12. https://www.jcos-journal.org.uk/id/JCOS.2026.1.1.001

International deals rarely fail because of price alone; they fail because one side reads silence as agreement, the other reads directness as rudeness, and nobody notices until the contract is in trouble. Generative AI tools built on large language models are now used informally by managers to draft emails, translate proposals, prepare for negotiations, and rehearse difficult conversations. This paper asks whether these tools actually make cross-cultural business communication more effective or merely faster. We review the literatures on cross-cultural negotiation, intercultural communication, and large language models and synthesize them into a framework that explains when generative AI helps and when it quietly causes harm. We propose that AI adds the most value in language bridging, preparation, and tone calibration, and carries the most risk where meaning depends on context, relationship, and unspoken norms. The analysis leads to six propositions, a set of practical guidelines for managers, and a research agenda. The central argument is that generative AI works best as a cultural co-pilot that supports human judgment, not as a replacement for it.

### Examining Generative AI Influence on International Consumer Behaviour

- Authors: Kripa, Manoj Kamber (Sandip University, Nashik, India; International Institute of Information Technology Bangalore, India)
- Published: Vol. 1, No. 1 (October 2026), pp. 13–32 · Review Paper
- Article ID: JCOS.2026.1.1.002 · Permanent link: https://www.jcos-journal.org.uk/id/JCOS.2026.1.1.002
- Article page: https://www.jcos-journal.org.uk/article/genai-international-consumer-behaviour
- Full text: https://www.jcos-journal.org.uk/reader/genai-international-consumer-behaviour · PDF: https://www.jcos-journal.org.uk/pdfs/jcos-genai-international-consumer-behaviour.pdf
- Keywords: Generative Artificial Intelligence, International Consumer Behaviour, Global Marketing, Marketing Personalization, Consumer Decision-Making, AI-Generated Content, Customer Experience, Consumer Trust, Cross-Cultural Marketing, Digital Marketing
- Cite as: Kripa, Manoj Kamber (2026). Examining Generative AI Influence on International Consumer Behaviour. Journal of Computing and Organizational Studies, 1(1), 13–32. https://www.jcos-journal.org.uk/id/JCOS.2026.1.1.002

Generative Artificial Intelligence (GenAI) is emerging as an important technology in international marketing by changing how businesses communicate with consumers, understand purchasing preferences, and create personalized customer experiences. Unlike traditional marketing technologies that primarily analyse existing data and predict consumer behaviour, generative AI can produce new text, images, product descriptions, advertisements, recommendations, and conversational responses. These capabilities allow businesses to customize their marketing communication for consumers across different countries, languages, cultures, and market segments. This research examines the influence of generative AI on international consumer behaviour and its role in global marketing personalization. It explores how AI-generated content, conversational assistants, personalized recommendations, and culturally adapted advertising may influence consumer awareness, trust, engagement, purchase decisions, and brand loyalty. It also considers the opportunities and challenges associated with the adoption of generative AI, including privacy concerns, algorithmic bias, cultural misunderstandings, misinformation, and the risk of excessive personalization. The study adopts a qualitative, descriptive research approach based on secondary sources, including academic journal articles, research papers, and reports published by established organizations. Existing research indicates that generative AI can support more relevant and convenient consumer experiences, while also influencing how consumers discover products and evaluate brands. However, its effectiveness depends on the accuracy of generated information, transparency, cultural relevance, consumer trust, and responsible data management. The research concludes that generative AI can strengthen international marketing when it is used to support rather than replace human judgment. Businesses should combine AI-driven personalization with cultural understanding, consumer privacy protection, and human oversight to develop effective and trustworthy global marketing strategies.

### Generative AI for International Market Research and Global Competitive Intelligence: A Framework and Public-Source Case Study of India’s Label Industry

- Authors: Panav Lodaya, Manoj Kamber (Sandip University, Nashik, India; International Institute of Information Technology Bangalore, India)
- Published: Vol. 1, No. 1 (October 2026), pp. 33–47 · Research Paper
- Article ID: JCOS.2026.1.1.003 · Permanent link: https://www.jcos-journal.org.uk/id/JCOS.2026.1.1.003
- Article page: https://www.jcos-journal.org.uk/article/genai-international-market-research
- Full text: https://www.jcos-journal.org.uk/reader/genai-international-market-research · PDF: https://www.jcos-journal.org.uk/pdfs/jcos-genai-international-market-research.pdf
- Keywords: Generative artificial intelligence, international market research, competitive intelligence, international market selection, labels, small and medium-sized enterprises, source evaluation, human–AI collaboration
- Cite as: Panav Lodaya, Manoj Kamber (2026). Generative AI for International Market Research and Global Competitive Intelligence: A Framework and Public-Source Case Study of India’s Label Industry. Journal of Computing and Organizational Studies, 1(1), 33–47. https://www.jcos-journal.org.uk/id/JCOS.2026.1.1.003

Generative artificial intelligence (GenAI) is increasingly relevant to business research because it can help organize large volumes of information, extract comparable attributes from documents and support preliminary assessments of foreign markets. These capabilities are particularly relevant to small and medium-sized enterprises (SMEs), which may lack dedicated market-intelligence teams. The value of AI-assisted research, however, depends on the quality of the sources, the consistency of the comparisons and the interpretation of the resulting evidence. This paper develops a practical framework for integrating GenAI into international market research and global competitive intelligence. It combines a focused narrative review of academic and institutional literature with a qualitative public-source case study of India’s label industry. Corporate disclosures from Avery Dennison and CCL Industries are examined to compare product capabilities, technology initiatives, geographic signals and the limits of publicly available competitor information. The case illustrates the difference between documented company statements and conclusions that require additional evidence. Avery Dennison’s public announcements describe RFID-related production and product development in Pune, while CCL Industries’ corporate reporting describes a broad label and specialty-packaging portfolio. These materials support a comparison of disclosed capabilities, but they do not provide a directly comparable basis for assessing the companies’ India-specific market shares, prices or commercial performance. The paper presents a six-stage workflow linking decision definition, source planning, evidence extraction, consistency checks, market screening and managerial interpretation. It concludes that GenAI is most appropriately treated as an analytical aid within a traceable research process, with conclusions proportionate to the evidence available.

### Using Generative AI for International Employer Branding and Global Talent Attraction Strategies: A Study of Opportunities, Risks and Practical Strategies for Global Managers

- Authors: Jaykumar Somwanshi (Sandip University, Nashik, India)
- Published: Vol. 1, No. 1 (October 2026), pp. 48–60 · Research Paper
- Article ID: JCOS.2026.1.1.004 · Permanent link: https://www.jcos-journal.org.uk/id/JCOS.2026.1.1.004
- Article page: https://www.jcos-journal.org.uk/article/genai-international-employer-branding
- Full text: https://www.jcos-journal.org.uk/reader/genai-international-employer-branding · PDF: https://www.jcos-journal.org.uk/pdfs/jcos-genai-international-employer-branding.pdf
- Keywords: Generative AI, Employer Branding, Global Talent Attraction, Employer Value Proposition, International HRM, Recruitment Marketing, Localisation, Responsible AI
- Cite as: Jaykumar Somwanshi (2026). Using Generative AI for International Employer Branding and Global Talent Attraction Strategies: A Study of Opportunities, Risks and Practical Strategies for Global Managers. Journal of Computing and Organizational Studies, 1(1), 48–60. https://www.jcos-journal.org.uk/id/JCOS.2026.1.1.004

Companies today compete for talent across borders. A strong employer brand helps an organisation attract skilled people in many countries, but building one that works in different languages and cultures is slow and costly. Generative Artificial Intelligence (GenAI), which can write text, create images and produce video, offers a new way to do this work faster and at a larger scale. This paper studies how GenAI can be used for international employer branding and global talent attraction. The study is exploratory and uses secondary data from academic books and articles, laws and regulations, and official documents. It maps GenAI use cases to the stages of the candidate journey, compares how content should be adapted across regions, and ranks eight use cases with a simple priority score based on impact, ease of adoption and risk. The analysis shows that the most valuable and lowest-risk uses are localised job descriptions, employee-story and EVP content drafting and multilingual career-site and social content. Uses that influence hiring decisions, such as AI resume screening, carry the highest risk and need strong human control and legal checks. The paper proposes a five-stage model (Listen, Create, Localise, Review and Measure) and gives practical recommendations for managers. It concludes that GenAI works best as an assistant to human recruiters and brand teams, not as a replacement.

## Frequently asked questions

### What is JCOS?

The Journal of Computing and Organizational Studies (JCOS) is an international, peer-reviewed, open-access journal founded in 2026. It publishes research in Computer Science, Artificial Intelligence, Information Systems, Organizational Studies, Management.

### Is JCOS peer reviewed?

Yes. Every manuscript goes through editorial screening and double-blind peer review before a decision is made.

### Is JCOS open access?

Yes. All articles are free to read and download, and are published under the CC BY 4.0 licence.

### What is the ISSN of JCOS?

The ISSN of the Journal of Computing and Organizational Studies is JCOS-0894-3184-2026.

### How often is JCOS published?

JCOS publishes four issues a year (Quarterly — January, April, July, and October). Accepted articles may appear online ahead of their issue.

### Who are the editors of JCOS?

The Editors-in-Chief are Dr. Vijay D. Dhangar, Professor James Whitmore and Dr. Charlotte Bennett, supported by Section Editors for each subject area and Associate Editors.

### How do I submit a paper to JCOS?

Submit online at https://www.jcos-journal.org.uk/submit with your details and your manuscript as a PDF (up to 20 MB). You receive a submission reference straight away. Questions can be sent to editor@jcos-journal.org.uk.

### What is the article processing charge (APC) at JCOS?

The article processing charge is ₹500 for Indian authors, or the US-dollar equivalent for international authors. It is refunded in full if the paper is not accepted, and every published article receives a certificate of publication.

### What types of articles does JCOS publish?

JCOS accepts these article types: Research Article, Review Article, Conceptual Paper, Case Study, Short Communication.

### Where is JCOS based?

The editorial office is at The Mille, Great West Road, London, TW8, United Kingdom.

## Optional

- [Full text of every article](https://www.jcos-journal.org.uk/llms-full.txt): the complete text of all published papers in one file