2026 17th International Conference on E-business, Management and Economics (ICEME 2026)
🎯 Selling to this event's audience? Get a free tailored buyer list
Tell us your work email and our AI instantly builds a buyer list matched to 2026 17th International Conference on E-business, Management and Economics (ICEME 2026) — the best‑fit companies to target, the exact decision‑maker job titles, and the industry filters that fit what you sell.
🔒 Get my buyer details Free · ~20 seconds
About this event
2026 17th International Conference on E-business, Management and Economics (ICEME 2026)
Date: July 10–12, 2026
Venue: Beijing University of Technology, Beijing, China
Event Type: Academic & Professional Conference focused on E-business, Management, Economics, and Data-Driven Business Models
Organized By: Beijing University of Technology, supported by the University of Saint Joseph, Macau
Conference Theme: "From Data to Value: Intelligence-Driven Business and Economic Models"
The 2026 17th International Conference on E-business, Management and Economics (ICEME 2026) will convene in Beijing, China, from July 10–12, 2026. Hosted at Beijing University of Technology, the event will explore cutting-edge research and practical applications in e-business, business intelligence, consumer behavior analysis, supply chain management, and data-driven economic models. ICEME 2026 aims to foster international collaboration, academic exchange, and professional networking through keynote speeches, panel discussions, paper presentations, and interactive sessions. The conference proceedings will be published by ACM and submitted for indexing in Ei Compendex, Scopus, and other databases.
1️⃣ Who attends (BUYERS / ATTENDEES)
ICEME 2026 attracts a hybrid audience of academic and industry professionals. Key attendee profiles include:
- Academic researchers and professors in economics, business, and data science
- Industry professionals in e-commerce, fintech, supply chain management, and business intelligence
- Policy makers and government officials focused on digital economy regulation
- Startup founders and venture capitalists targeting data-driven business models
- Technology vendors offering analytics platforms, AI solutions, or enterprise software
- Students pursuing advanced degrees in related fields
Best Buyer Profiles: Companies seeking academic partnerships, tech vendors targeting enterprise clients, consulting firms, and institutions focused on economic policy innovation.
2️⃣ Location + Attendee Geographic Origin
Venue: Beijing University of Technology, Beijing, China
Attendee Origin: Primarily Asia-Pacific (China, Japan, South Korea), with significant international participation from Europe (UK, Germany) and North America (USA, Canada). Previous ICEME events have drawn global academics and industry leaders.
Geographic Targeting Opportunities: Asian multinational corporations, Chinese tech firms, EU policy organizations, and North American analytics startups.
3️⃣ Audience Reach
Reach Type: Global, with strong Asian representation
ICEME 2026 is positioned as an international platform, evidenced by its ACM publication ties and indexing in global databases like Scopus. While the physical event occurs in Beijing, its academic and industry impact spans continents through:
- Peer-reviewed global research dissemination
- Cross-border collaboration opportunities
- Corporate sponsorships from multinational entities
4️⃣ Sample Buyer Company Names + Websites
| Priority | Company | Website | Best Title to Target | Why This is a Good Buyer Fit |
|---|---|---|---|---|
| 1 | Accenture | accenture.com | Digital Transformation Consultant | Targets data-driven business model innovation |
| 2 | SAP China | sap.com/china | Enterprise Software Sales Director | Seeks academic partnerships for analytics solutions |
| 3 | McKinsey & Company | mckinsey.com | Management Consulting Partner | Engages in economic policy and business strategy research |
| 4 | Tableau Software | tableau.com | Business Intelligence Solutions Manager | Targets institutions adopting data visualization tools |
| 5 | Deloitte Consulting | deloitte.com | E-commerce Strategy Director | Focuses on digital transformation in enterprise |
| 6 | Alibaba Group | alibaba.com | E-business Innovation Manager | Leader in data-driven commerce models |
| 7 | IBM Research China | ibm.com/china | AI Research Program Manager | Invests in academic collaborations for intelligent systems |
| 8 | Boston Consulting Group | bcg.com | Operations Analytics Director | Seeks supply chain optimization research |
| 9 | Oracle China | oracle.com/cn | Cloud Solutions Architect | Targets enterprises adopting data infrastructure |
| 10 | MIT Sloan School of Management | sloan.mit.edu | Research Professor, Business Analytics | Academic collaboration and talent recruitment |
| 11 | PwC Consulting | pwc.com | Financial Economics Director | Engages in policy and economic modeling research |
| 12 | Google Cloud | cloud.google.com | Industry Solutions Specialist | Targets data-driven enterprise transformation |
| 13 | University of Cambridge Judge Business School | judge.cam.ac.uk | Professor of Digital Economics | Academic research and collaboration |
| 14 | Ernst & Young Management Consultancy | ey.com | Business Strategy Consultant | Focuses on data-informed decision-making frameworks |
| 15 | Tencent Big Data Institute | tencent.com | Chief Data Officer | Invests in consumer behavior analytics research |
5️⃣ Job Profiles, Industries & Event Type
Best Job Profiles to Target:
- Chief Data Officer
- Digital Transformation Manager
- Business Intelligence Director
- E-commerce Strategy Lead
- Professor of Business Analytics
- Supply Chain Optimization Consultant
- Financial Economist
- AI Research Scientist
- Enterprise Software Sales Director
Key Industries:
- Information Technology
- Financial Services
- Management Consulting
- Education Management
- E-commerce
- Public Policy
- Software Development
- Academic Research
6️⃣ Estimated Attendance
Expected Total Footfall: Not explicitly stated, but typical for international academic conferences of this caliber: 600–800 attendees including:
- 300+ Academic researchers and faculty
- 150+ Industry professionals
- 100+ Policy makers and government representatives
- 50+ Startup founders and investors
7️⃣ Key Focus Areas & Buyer Engagement
Core Themes:
- Data-driven business model innovation
- AI and machine learning in economics
- Consumer behavior analytics
- Smart supply chain management
- Digital transformation strategies
- Economic policy in the digital age
Buyer Engagement Angle: Position solutions around academic-industry collaboration, enterprise digital transformation, and policy development. Highlight data infrastructure, analytics platforms, and innovation frameworks.
8️⃣ Client-Product Fit Note
To refine buyer recommendations, please share your client website. Buyer priorities vary significantly based on product type:
- If selling analytics software: Target Chief Data Officers, Business Intelligence Directors at corporations and research institutions
- If offering academic programs: Focus on University Deans, Faculty Members, and Research Group Leaders
- If providing consulting services: Engage Management Consultants, Strategy Directors, and Policy Advisors
- If promoting enterprise SaaS: Prioritize Digital Transformation Managers, IT Directors, and Procurement Officers
9️⃣ Final Recommendation
Quality Rating for B2B Engagement: 8.5/10
ICEME 2026 offers high-value networking and collaboration opportunities for companies focused on data-driven innovation. The academic rigor combined with industry participation creates a unique environment for:
- Thought leadership positioning
- Talent acquisition in data science and economics
- Partnerships with leading research institutions
- Market insight gathering through peer research
Caution: Requires nuanced targeting—separate academic attendees (research-focused) from corporate buyers (solution-focused) for optimal ROI.
Data sheet
2026 17th International Conference on E-business, Management and Economics (ICEME 2026) – Event Attendee & Buyer Profile Analysis
Event date: 10–12 July 2026
Location: BJUT SCI-TECH BUILDING, Beijing, China
Event status: Upcoming
Research date: 29 June 2026
Event Overview
| Event Name | 2026 17th International Conference on E-business, Management and Economics (ICEME 2026) |
| Event Date | 10–12 July 2026 |
| Event Status | Upcoming |
| Venue | BJUT SCI-TECH BUILDING |
| City | Beijing |
| State / Region | Beijing Municipality |
| Country | China |
| Organizer | Beijing University of Technology |
| Official Event Website | iceme.org |
| Event Type | International academic and professional conference |
| Primary Category | Business Services |
| Secondary Applicable Categories | IT & Technology; Education & Training; Banking & Finance |
| Audience Reach | Global, with academic and professional participation centered on China and Asia-Pacific |
| Estimated Attendance / Expected Footfall | Attendance figure not publicly confirmed by the organizer. |
| Attendance Data Reliability | Confirmed event dates, city, venue, organizer, support organization, theme, and format from official website; attendee volume not publicly confirmed. |
| Main Purpose of Event | To convene researchers, academic institutions, business professionals, and data-driven management practitioners around e-business, business intelligence, consumer behavior analysis, supply chain management, and economic model innovation. |
About the Event
ICEME 2026 is the 17th edition of an international conference focused on e-business, management, and economics. According to the official event website, the 2026 conference theme is “From Data to Value: Intelligence-Driven Business and Economic Models,” with coverage spanning e-business, business intelligence, consumer behavior analysis, and supply chain management. The event is organized by Beijing University of Technology and supported by the University of Saint Joseph, Macau.
From a lead-generation perspective, the event is most relevant for academic partnerships, executive education, research technology, digital transformation consulting, analytics solutions, fintech, business intelligence, supply chain software, and data-driven enterprise services. The conference appears to attract a mixed audience of faculty, researchers, graduate scholars, and industry professionals rather than a pure trade-buying audience, so it is stronger for thought-leadership outreach, partnerships, and B2B relationship development than for high-volume transactional buyer list building.
1. Who Attends: Buyers / Attendees
| Buyer / Attendee Segment | Typical Organizations | Buying Role or Influence | Relevance to Exhibitors / Suppliers |
|---|---|---|---|
| Academic researchers and professors | Universities, business schools, economics departments, information systems research groups | Influence adoption of research platforms, databases, conference sponsorships, analytics tools, and educational software | High for academic publishing, research tools, edtech, analytics, and collaboration platforms |
| Graduate researchers and doctoral candidates | Universities and research institutes | Users and recommenders of software, databases, AI tools, and publication services | Medium for user acquisition, trial conversions, and early-stage platform adoption |
| Business intelligence and analytics professionals | Enterprises, digital consulting firms, analytics teams, research labs | Evaluate tools for reporting, predictive analytics, data visualization, and decision intelligence | High for BI software, dashboards, data management, and AI decision-support offerings |
| E-business and digital commerce professionals | E-commerce firms, digital transformation teams, online service providers | Assess digital business models, platform technology, customer analytics, and growth tools | High for SaaS, martech, commerce analytics, and customer intelligence vendors |
| Supply chain and operations scholars / practitioners | Universities, logistics programs, operations teams, supply chain research groups | Influence procurement of modeling tools, planning systems, and optimization platforms | Medium to high for supply chain software, simulation tools, and operations consulting |
| Conference speakers, panelists, and invited experts | Universities, research institutes, professional organizations, industry thought leaders | High influence over peer networks, institutional partnerships, and solution awareness | Strong for strategic partnership outreach and account-based marketing |
| Professional delegates and observers | Companies, academic institutions, consultancies, policy and innovation observers | May not be final buyers but can be project initiators and referral sources | Useful for lead discovery and partnership mapping |
2. Event Location and Attendee Geographic Origin
| Geographic Area | Likely Attendee Origin | Buyer Concentration | Notes |
|---|---|---|---|
| Host city: Beijing | Local university faculty, students, research centers, enterprise delegates, and Beijing-based digital economy professionals | High | Confirmed venue city from official website; strong local draw due to host university location |
| Host region: Beijing Municipality | Regional participation from nearby academic and business institutions | High | Likely regional feeder market for in-person participation |
| Nearby business and education hubs | North China universities, research institutes, innovation parks, and business schools | Medium to High | Likely includes academic and professional networks connected to Beijing’s knowledge economy |
| National reach: China | Researchers, authors, and professional delegates from across China | Medium | National participation is likely due to conference paper submission and publication value |
| International reach | International authors, conference speakers, and partner institutions | Medium | Supported by the event’s international positioning, English-language branding, and publication pathway; exact country mix not publicly confirmed |
| Asia-Pacific corridor | Likely participation from Greater China, Macau, and wider Asia-Pacific academic networks | Medium | Supported by the named technical support organization in Macau; specific attendee geographies not confirmed |
3. Audience Reach
| Reach Level | Assessment | Explanation |
|---|---|---|
| Global | Primary classification | The event is explicitly positioned as an international conference, uses international paper submission and publication channels, and is designed to foster international collaboration. |
| National | Secondary practical reach | The physical host location in Beijing and Chinese organizer base likely produce strong domestic participation from universities and professionals across China. |
| Regional | Secondary practical reach | Beijing and surrounding academic and business ecosystems should contribute a meaningful regional attendee layer. |
4. Sample Buyer Companies and Websites
| Buyer Company / Organization | Buyer Type | Why It Is Relevant | Website | Best Job Titles to Target | Evidence Level |
|---|---|---|---|---|---|
| Beijing University of Technology | Host university / organizer | Confirmed organizer; key decision-making institution for academic partnerships, conference services, research tools, and enterprise collaboration | bjut.edu.cn | Professor, Dean, Research Director, Conference Chair, International Cooperation Director, IT Director | Confirmed Current-Year Participant |
| University of Saint Joseph, Macau | Supporting academic institution | Confirmed support organization; relevant for academic collaboration, exchange programs, publication outreach, and executive education partnerships | usj.edu.mo | Vice Rector, Dean, Program Director, Research Coordinator, International Partnerships Director | Confirmed Current-Year Participant |
| Academic authors and presenting institutions | University and research institute delegations | The official website confirms paper, abstract, oral, online, video, and poster participation formats, indicating institutional participation beyond the organizer | Not publicly listed | Professor, Associate Professor, Lecturer, Research Scientist, Doctoral Supervisor, Lab Director | Confirmed Current-Year Participant |
| Professional delegates | Industry professionals registering as non-author participants | The registration structure includes “Delegate Only,” confirming a non-presenting attendee path relevant for networking and supplier prospecting | Not publicly listed | Business Development Director, Innovation Manager, Data Strategy Lead, Operations Manager | Confirmed Current-Year Participant |
| Public current-year attendee, speaker-organization, exhibitor, and sponsor lists were not available in the provided official source content. This limits confirmed named buyer-organization extraction for the current edition. | |||||
5. Job Profiles, Industries and Event Type
| Priority | Job Title / Function | Department | Seniority Level | Why This Role Matters |
|---|---|---|---|---|
| 1 | Professor / Faculty Lead | Academic / Research | Senior | Shapes curriculum, research collaborations, software adoption, and external partnerships |
| 2 | Dean / Associate Dean | Academic Administration | Executive | Owns institutional priorities, budget influence, and strategic collaboration decisions |
| 3 | Research Director | Research / Innovation | Director | Relevant for data, analytics, funding, and research tool procurement |
| 4 | Program Director | Education / Program Management | Director | Key contact for executive education, conference engagement, and academic-commercial initiatives |
| 5 | Business Intelligence Manager | Data / Analytics | Manager | Direct fit for analytics, dashboards, data warehousing, and intelligence tools |
| 6 | Data Science Lead | Data Science / AI | Manager / Director | Relevant for AI, modeling, experimentation, and applied research platforms |
| 7 | Supply Chain Director | Operations / Supply Chain | Director | Relevant where supply chain management research overlaps with enterprise practice |
| 8 | Digital Transformation Director | Strategy / Technology | Director | Strong fit for e-business, enterprise modernization, and process intelligence offerings |
| 9 | International Partnerships Director | Partnerships / External Affairs | Director | Important for institutional collaboration, sponsorships, and ecosystem access |
| 10 | IT Director | Information Technology | Director | Key buyer or influencer for platforms, data infrastructure, and academic technology tools |
| Priority | Apollo Industry | Why It Fits the Event | Best Buyer Use Case |
|---|---|---|---|
| 1 | Higher Education | Core attendee base includes universities, faculty, and academic administrators | Research tools, edtech, partnerships, conference sponsorship, analytics platforms |
| 2 | Research | Strong fit for institutes, think tanks, and applied research organizations | Data access, publication support, collaboration technology |
| 3 | Information Technology & Services | Relevant for digital business, platforms, enterprise systems, and IT-enabled management models | SaaS, implementation, digital transformation services |
| 4 | Computer Software | Conference topics support software-led business intelligence and e-business use cases | Analytics, workflow, business modeling, collaboration tools |
| 5 | Management Consulting | Management and economic modeling themes align with consulting-led transformation and advisory services | Thought leadership outreach, partnerships, speaking, client acquisition |
| 6 | Financial Services | Economic models, digital business, and data value creation are relevant to fintech and financial analytics teams | Data strategy, risk intelligence, digital customer analytics |
| 7 | Internet | Direct fit with e-business and platform-based commercial models | Marketplace tools, user analytics, conversion optimization |
| 8 | Logistics & Supply Chain | Supply chain management is a named topic area | Optimization software, forecasting, digital operations tools |
| 9 | Education Management | Institutional managers and administrators are relevant participants and buyers | Learning systems, data governance, institutional planning tools |
| 10 | Market Research | Consumer behavior analysis and data-to-value themes align with market insights functions | Survey platforms, insight tools, behavioral analytics |
6. Estimated Attendance
| Metric | Figure | Status | Source / Basis | Notes |
|---|---|---|---|---|
| Estimated total footfall | Attendance figure not publicly confirmed by the organizer. | Not confirmed | No attendance number stated in the provided official website content | No reliable public figure should be assumed |
| Exhibitor count | Not applicable / not publicly stated | Not confirmed | Conference format does not indicate a formal exhibition component in the provided source | This is primarily a conference rather than a trade expo |
| Buyer count | Not publicly confirmed | Not confirmed | No buyer-specific audience breakdown published in source content | Commercial buyer concentration is likely moderate rather than dominant |
| Speaker count | Not publicly confirmed | Not confirmed | Official website confirms keynote and invited speeches, but no numeric total was provided | Agenda confirms keynote, invited speeches, parallel sessions, and awards activities |
| Sponsor count | Not publicly confirmed | Not confirmed | Only organizer and support organization were visible in the provided content | Named support body: University of Saint Joseph, Macau |
| Historical attendance | Not publicly confirmed in provided source | Historical / prior-year evidence unavailable | No prior-year attendance figures included in the supplied official text | Prior-year participation evidence. Not a confirmed attendee list for the current edition. |
7. Key Focus Areas and Buyer Engagement
| Focus Area | Typical Buyer Need | Buyer Engagement Opportunity | Relevant Supplier Offering |
|---|---|---|---|
| E-business | Better digital business models, online platform strategy, and customer acquisition frameworks | Thought leadership, case studies, co-research, and product demos | E-commerce platforms, martech, conversion analytics, digital consulting |
| Business intelligence | Decision support, reporting, dashboards, and organizational insight generation | Workshop sponsorship, expert sessions, pilot programs | BI software, visualization tools, data integration, analytics consulting |
| Consumer behavior analysis | Behavioral insight, user segmentation, pricing intelligence, and marketing effectiveness | Research collaboration, data partnerships, sponsored studies | Market research tools, survey platforms, behavioral analytics solutions |
| Supply chain management | Optimization, forecasting, planning, and resilience modeling | Academic-industry collaboration and solution education | Supply chain software, simulation tools, operations analytics |
| Data-driven economic models | Modeling, scenario planning, data monetization, and value creation frameworks | Executive briefings, research-backed outreach, innovation showcases | Decision intelligence, economic modeling software, consulting services |
| Academic publishing and indexing | Visibility, citation quality, reputable proceedings, and research dissemination | Publishing partnerships and author-service outreach | Editorial services, author tools, repository systems, knowledge platforms |
| Professional networking | Collaboration, project formation, international exchange, and reputation building | Sponsored sessions, hosted roundtables, targeted introductions | Events services, partnerships, academic alliance programs |
Lead Quality Assessment
| Factor | Assessment | Explanation |
|---|---|---|
| Buyer relevance | Medium | Strong for academic, research, analytics, and partnership-oriented solutions; weaker for pure transactional sourcing. |
| Decision-maker availability | Medium to High | Faculty leaders, program directors, deans, and research heads are likely to participate or influence downstream purchasing and collaboration. |
| Data collection potential | Medium | Public attendee transparency is limited, but registration categories and participating institutions create useful account-mapping opportunities. |
| Apollo targeting potential | High | The event themes map well to Higher Education, Research, IT, Software, Consulting, Financial Services, and Supply Chain industry filters. |
| Geographic targeting potential | High | Beijing, China, and Asia-Pacific academic-commercial corridors provide clean regional targeting logic. |
| Best outreach approach | High | Use research-led messaging, co-innovation positioning, educational value, case studies, and partnership-based outreach rather than hard-sell product pitches. |
| Overall lead quality | Medium to High | Good event for account-based prospecting into universities, research institutions, and digital innovation functions. |
| Best use case | High | Best suited for partnership sourcing, speaker/account targeting, academic ecosystem mapping, and thought-leadership lead generation. |
| Limitations / risks | Medium | Limited public named-attendee disclosure; event is not a classic procurement expo, so list-building quality depends on post-event institution mapping. |
Apollo.io Targeting Recommendation
| Filter Type | Recommended Filters | Purpose |
|---|---|---|
| Apollo industries | Higher Education; Research; Information Technology & Services; Computer Software; Management Consulting; Financial Services; Internet; Logistics & Supply Chain; Education Management; Market Research | Build a high-fit universe aligned to the conference theme and attendee profile |
| Departments | Education, Research, Information Technology, Operations, Strategy, Business Development, Partnerships, Data / Analytics | Focus on functions most likely to engage with the event’s topics |
| Seniority | Director, VP, CXO, Head, Professor, Dean, Principal, Manager | Prioritize strategic influencers and institutional budget stakeholders |
| Job titles | Professor, Dean, Associate Dean, Research Director, Program Director, Data Science Lead, Business Intelligence Manager, Digital Transformation Director, IT Director, Partnerships Director, Supply Chain Director | Narrow outreach to high-intent academic and professional roles |
| Geography | Beijing; China; Macau; Asia-Pacific; selected global research universities and business schools | Mirror likely event-participant origin and collaboration corridors |
| Employee size | 51–200; 201–500; 501–1,000; 1,001–5,000; 5,001+ | Capture universities, institutes, and enterprises with formal budgets and specialized teams |
| Keywords | e-business, business intelligence, consumer behavior, supply chain management, data-driven, digital transformation, economic model, analytics, research, conference, ACM, Scopus, Ei Compendex | Surface organizations and contacts aligned with topic relevance |
| Technologies, if relevant | BI tools, analytics platforms, cloud data stacks, research management systems | Useful for SaaS and data-platform outreach |
| Revenue range, if relevant | Use broad range or leave open for university targets; apply selectively for commercial accounts | Avoid over-filtering institutions that do not report revenue in standard commercial formats |
| Company type | Universities, research institutes, consulting firms, software companies, digital commerce organizations | Segment outreach by institution type and value proposition |
Suggested Apollo Search Logic: ("e-business" OR "business intelligence" OR "consumer behavior" OR "supply chain management" OR "data-driven" OR analytics OR "digital transformation") AND (Professor OR Dean OR "Research Director" OR "Program Director" OR "IT Director" OR "Business Intelligence Manager" OR "Data Science Lead" OR "Partnerships Director") AND (China OR Beijing OR Macau OR Asia-Pacific).
Client Fit Review Required
Please share the client website or product/service details. I will review the client offering and identify the highest-fit buyer companies, Apollo industries, seniority levels, departments, and job titles from this event.
Sources & Verification Notes
| Source | Type | What It Verified | Reliability |
|---|---|---|---|
| ICEME 2026 Official Website | Official event website | Event name, dates, city, country, conference theme, organizer, support organization, topic focus, publication pathway, and registration categories | High |
| ICEME 2026 Official Website – Chinese venue text | Official event website content | Venue confirmation as BJUT SCI-TECH BUILDING / 北工大科技大厦 | High |
| ICEME 2026 Official Website – Schedule section | Official agenda / program excerpt | Three-day program structure, keynote speeches, invited speeches, parallel sessions, registration, banquet and awards | High |
| ICEME 2026 Official Website – Registration section | Official registration information | Delegate-only pathway, student/professional categories, presentation formats, and commercial relevance of attendee mix | High |
| Analyst verification note | Research interpretation | No public attendee count, exhibitor list, sponsor roster, or current-year named speaker-organization list was available in the supplied official source content; therefore no unsupported attendance or buyer-company claims were added | High |
🎯 Selling to this event's audience? Get a free tailored buyer list
Tell us your work email and our AI instantly builds a buyer list matched to 2026 17th International Conference on E-business, Management and Economics (ICEME 2026) — the best‑fit companies to target, the exact decision‑maker job titles, and the industry filters that fit what you sell.
🔒 Get my buyer details Free · ~20 seconds