University of Eastern Finland Tourism Marketing and Management Master's Thesis Guide: YK00EJ71, 30 ECTS and YK00EY93 Seminar

1. Start from the exact 2026-2027 TMM thesis package

The controlling 2026-2027 curriculum is Peppi programme 139631, code MDPTMM26, titled MDP in Tourism Marketing and Management, Joensuu campus 2026-27. The exact thesis package is YK00EJ71 Master’s Thesis, Tourism Marketing and Management, 30 ECTS; YK00EY93 Master’s Thesis Seminar in Tourism Marketing and Management, 5 ECTS; YK00EY94 Research in Tourism Marketing and Management, 5 ECTS; and YK00EJ61 Maturity Test, Master’s Degree in Business, 0 ECTS. The programme also contains a 15 ECTS methodological-studies module. Keep these course objects separate when planning credits, workload, seminar presentations, research-course participation and final degree completion.

2. The programme is a 120 ECTS English-language business degree

Tourism Marketing and Management is a two-year, 120 ECTS English-language master’s programme in the UEF Business School environment and the current Peppi object identifies the Joensuu campus. The awarded degree is Master of Science (Economics and Business Administration). The programme supports tourism-business research across marketing, management and related interdisciplinary tourism questions. These programme themes guide topic development, but they do not create a compulsory list of destinations, theories, methods or datasets. A defensible thesis still needs a clear research problem, a realistic empirical setting, an appropriate theoretical perspective and a research design that fits the 30 ECTS thesis workload.

3. YK00EJ71 is the current 30 ECTS thesis

YK00EJ71 is the programme-specific advanced-studies thesis, worth 30 ECTS and graded 0-5. The course asks the student to define and examine a well-defined tourism-related research topic and to plan and complete the thesis project. It describes 810 hours of supervised independent study. Learning outcomes emphasise understanding the role of research, data and information in tourism-business decisions and producing analytical, methodologically reliable and practically valuable research for tourism businesses and academia. The course is taught in English and requires authenticity verification through the university’s electronic plagiarism-detection system. It does not prescribe one universal theory, method, software package, destination or company setting. Faculty-level guidance gives a general indicative thesis length of about 60-100 pages while explicitly allowing disciplinary variation and more specific subject-level instructions. Treat this only as a planning reference, not as a hard Tourism Marketing and Management page limit. Current Business School or TMM-specific instructions take priority where they are more specific.

4. YK00EY93 is a separate 5 ECTS Pass/Fail thesis seminar

The current TMM thesis seminar is YK00EY93, 5 ECTS and Pass/Fail. The seminar develops analytical and creative thinking, good scientific practice, academic argumentation and constructive peer feedback. Students write a topic analysis, a research plan with literature review and the final thesis. The content covers the thesis process, research-literature evaluation, presenting research and peer review. This seminar is not merely an attendance course. Its completion mode explicitly includes presentation and peer-opponent tasks, so students should plan the thesis timeline around these formal seminar gates rather than treating all seminar activity as informal supervision.

5. The seminar requires three presentation stages and opponent work

YK00EY93 explicitly requires presentation of the master’s thesis idea paper, research plan and final paper. It also requires written peer reviews and acting as an opponent. These are TMM-specific seminar obligations and should be treated as separate checkpoints in the thesis process. The course also requires the student to respond to The Business Students Graduates in Finland feedback survey when submitting the thesis. Do not import the Sustainable Business Leadership seminar’s 80% presence formulation as the controlling TMM rule. A current teacher implementation may add scheduling details, but the published TMM course object establishes these presentation and peer-review obligations directly.

6. YK00EY94 is a separate 5 ECTS tourism research course

Research in Tourism Marketing and Management, YK00EY94, is 5 ECTS and Pass/Fail. It covers the research process from idea generation to publishing, the interdisciplinary nature of tourism research, the iterative nature of research and a broad range of theories, approaches and practices used in tourism studies. Its content includes interdisciplinary approaches to tourism-business research, major tourism research streams, research problems, philosophy of science and the master’s thesis process. Study modes include seminar participation, seminar activities and independent work. This course supports independent thesis development but does not impose one method, theory or tourism subfield on every student.

7. The maturity test is the thesis summary and carries 0 ECTS

YK00EJ61 is the 0 ECTS Pass/Fail maturity test for the business master’s degree. The summary attached to the master’s thesis serves as the maturity test and must demonstrate familiarity with the thesis field. It is evaluated for content, structure and formal academic writing style, and both content and language must be approved before the degree can be completed. UEF’s current AI guidance makes the abstract a hard boundary: AI must not be used in the abstract at all, including checking or translating it. Write the abstract only after the main manuscript is stable and make sure it accurately represents the final question, method, evidence and conclusion.

8. Methodological studies total 15 ECTS

The current curriculum contains a 15 ECTS methodological-studies module. YK00DO48 Research Methodologies in Business Studies, 5 ECTS, is compulsory, while 10 ECTS comes from other methodological studies. YK00DO49 Quantitative Research Methods in Business Studies and YK00DO50 Qualitative Research Methods in Business Studies are listed examples. YK00DO48 covers research problems, research questions, theory testing and building, surveys, secondary and online data, experiments, interviews, observation, ethics, validity, reliability, qualitative trustworthiness and AI. The curriculum therefore supports multiple rigorous TMM designs rather than one mandatory programme-wide method.

9. A tourism topic needs a precise actor, place, process and outcome

A topic such as “tourism marketing in Finland” is too broad for a master’s thesis. Narrow the actor, setting, mechanism and outcome. A study might examine how a destination organisation manages seasonality, how visitors respond to sustainability communication, how tourism SMEs adopt digital platforms, how residents interpret overtourism management, how hospitality employees experience service innovation, or how entrepreneurs build destination networks. The strongest topic is not necessarily the most fashionable. It is one where the question is theoretically meaningful, access is realistic, the evidence can answer the question and the scope fits a 30 ECTS thesis.

10. Define the unit and level of analysis before collecting data

Tourism research can operate at visitor, household, employee, firm, destination, network, regional or policy levels. Confusion appears when the research question is at one level but the evidence is interpreted at another. State whether the unit of analysis is a traveller, resident, employee, tourism firm, destination-management organisation, online review, event, partnership or another clearly bounded object. If multiple levels are necessary, explain the relationship between them. Visitor perceptions cannot automatically establish destination-level economic impact, and firm-level booking data cannot by itself explain individual travel motivation. Align theory, data and claims at the same analytical level.

11. Destination research should define what the destination actually means

A destination can be a municipality, region, attraction cluster, route, protected area, event ecosystem or digitally mediated brand space. Define its geographic and organisational boundary instead of treating the destination as a self-evident unit. If studying destination governance, identify who has authority, resources and influence. If studying destination image, clarify whether the evidence comes from visitors, residents, organisations or online content. If comparing destinations, align the time period, market segment and indicators. This prevents the thesis from mixing branding, governance, visitor behaviour and regional development as if they were the same construct.

12. Tourism marketing research needs a clear customer or stakeholder process

Marketing questions can involve segmentation, positioning, destination image, customer experience, loyalty, digital communication, influencer activity, service design, pricing or relationship marketing. Select the process that matters for the research question and define the relevant actor. A social-media campaign may influence awareness without changing bookings, while positive destination image may not translate directly into loyalty. If using marketing-funnel concepts, specify the stage being measured. If the study uses organisational data, distinguish campaign metrics from business outcomes. The thesis should explain what mechanism connects the marketing activity to the observed response.

13. Tourist-behaviour research needs valid constructs and realistic sampling

Research on motivation, satisfaction, perceived value, experience, revisit intention or behavioural intention often relies on survey measures. Use constructs with defensible definitions and, where appropriate, validated scales. Explain sampling location, timing, eligibility and recruitment. Airport, attraction or online-panel samples may systematically exclude some visitor groups. If multiple language versions are used, translation quality becomes part of validity. Do not treat intention as actual behaviour without qualification. If behavioural data are available, explain how they connect to survey responses. Report limitations created by seasonality, self-selection and nonresponse rather than presenting a convenience sample as representative of all tourists.

14. Resident research must separate attitudes, impacts and participation

Residents can experience tourism through employment, housing pressure, congestion, cultural change, public-space use, environmental effects and community identity. A resident-attitude study should specify which impacts and which population are under examination. Support for tourism development may differ from perceptions of crowding or fairness. If community participation is studied, identify who has access to decision-making and whose voices are absent. Recruitment through local networks can overrepresent highly engaged residents. Sensitive issues may also create confidentiality concerns in small communities. The thesis should distinguish resident perceptions from independently measured destination impacts.

15. Overtourism claims require evidence beyond visitor volume

Overtourism is a contested concept and should not be used merely because a destination is busy. Define the threshold or mechanism that makes visitor pressure problematic. Evidence might involve resident experience, infrastructure capacity, environmental indicators, crowding, housing pressure, service disruption or governance response. High arrivals alone do not establish overtourism. Consider seasonality and spatial concentration because annual averages may hide short periods of intense pressure. If the study examines discourse rather than measured impacts, state that clearly. Calibrated language such as perceived crowding, pressure or capacity concern is preferable when the design cannot establish a broader overtourism condition.

16. Sustainable-tourism research should identify the sustainability dimension

“Sustainable tourism” can refer to environmental, social, cultural, economic or governance concerns. Specify the dimension and evidence rather than treating sustainability as a positive label. A destination organisation’s sustainability claim is not the same as measured environmental or social outcomes. Visitor willingness to choose sustainable options measures preference, not actual impact. A business’s certification may indicate process compliance without proving destination-level sustainability. If the study focuses on management, communication or stakeholder interpretation, keep conclusions at that level. This allows a business thesis to contribute meaningfully without making unsupported environmental claims.

17. Tourism entrepreneurship needs both business and destination context

Tourism entrepreneurship research may examine opportunity recognition, business models, networking, seasonality, resource constraints, platform dependence, innovation or sustainability positioning. Founder interviews can reveal decision processes and perceived opportunities, but they do not automatically establish venture performance or regional impact. Define the organisational stage and market context. A micro-enterprise in a rural destination faces different constraints from a hotel chain or platform business. If network relationships are central, identify what resources or capabilities flow through the network and how they affect entrepreneurial action. Keep commercial, social and destination-development outcomes analytically separate.

18. Digital tourism data require provenance and platform-awareness

Online reviews, social-media posts, search trends, booking-platform data and digital traces can provide valuable tourism evidence, but availability does not remove ethical or legal responsibilities. Record how data were accessed, the platform terms, time period, filters, language, location and sampling method. Platform algorithms affect visibility and may make datasets nonrepresentative. Deleted or edited content can alter reproducibility. Publicly viewable text may still contain personal data or contextual privacy concerns. If scraping is used, ensure it is legally and ethically appropriate and document the technical collection process. Do not imply that digital volume equals population-level tourism behaviour.

19. Online-review studies need a defensible sampling and coding strategy

Review research should define the platform, business or destination scope, review period, language, rating range and inclusion criteria. Decide whether the question is about customer experience, service quality, sentiment, complaints, destination image or another construct. Automated sentiment tools can miss sarcasm, context and multilingual nuance. Topic models generate patterns that still need interpretation. Manual thematic analysis requires a transparent coding process. If ratings are compared across properties, account for differences in review volume and customer segment. Avoid claiming that reviewers represent all customers, because people who post reviews may differ systematically from those who do not.

20. Qualitative interviews need purposive sampling and protection planning

For interviews with visitors, residents, employees, entrepreneurs or destination stakeholders, define who can provide relevant evidence and why. Use inclusion criteria based on experience, role or exposure to the phenomenon. Explain recruitment channels and gatekeepers. Plan consent, recording, transcription, storage and anonymisation before data collection. Power relationships matter when employees discuss employers or small firms discuss destination organisations. During analysis, document how codes and themes were developed and revised. Quotations support interpretation but do not replace it. In small tourism networks, identities can remain recognisable even after names are removed, so discuss deductive-disclosure risk explicitly.

21. Quantitative tourism research should begin with design, not software

YK00DO49 covers regression, group comparisons, factor analysis, clustering, structural equation modelling and other advanced analysis with software. These are tools, not mandatory thesis components. Begin with population, sampling, unit of analysis, constructs, timing and the quantity you need to estimate. Tourism data are often seasonal and clustered by destination, trip, household or firm, so independence assumptions may fail. Validate constructs before complex modelling. Report effect sizes and uncertainty, not only p-values. A statistically significant relationship between marketing exposure and revisit intention does not prove that the marketing activity caused future travel.

22. Survey research needs measurement and response-quality controls

Explain how each construct is operationalised and whether scales were adapted, translated or shortened. Pretest the questionnaire where possible. Record recruitment, response rate or reachable sample, missing-data handling, exclusions and quality checks. Tourism surveys often use intercept sampling, email lists, QR codes or social platforms, each of which introduces selection effects. If visitors complete surveys during a trip, immediate emotions may differ from post-trip evaluation. Cross-cultural comparisons require attention to translation and measurement equivalence. Separate perceptions and intentions from observed behaviour, and do not describe a convenience sample as representative without evidence.

23. Business and destination secondary data need comparability checks

Possible secondary sources include occupancy records, booking data, visitor counts, financial statements, campaign analytics, mobility data, tourism statistics and public policy documents. Record source, definition, time period, geographic boundary, unit, missingness and transformations. Occupancy rates from different property types may not be directly comparable. Visitor-count systems may change methodology between years. Revenue and booking data can be commercially sensitive and affected by inflation or channel mix. Preserve a data dictionary and transformation log so the final analysis can be traced to the original evidence. Explain any aggregation used to protect confidential business information.

24. Mixed methods can connect visitor patterns with organisational explanation

Some TMM questions benefit from combining methods. Survey results may show visitor segments while interviews explain how destination managers respond to them. Review analysis may identify recurring service problems while staff interviews explain operational causes. Business performance data may show seasonal change while entrepreneur interviews explain adaptation. Mixed methods are not mandatory. If methods are combined, define sequence, priority and integration point. Explain whether one dataset builds the next phase, triangulates evidence, explains disagreement or connects process with outcome. Two datasets presented separately do not automatically become a coherent mixed-method design.

25. Comparative tourism studies need common definitions and time frames

Comparing destinations, firms, visitor groups or countries can strengthen a thesis, but comparison only works when units are genuinely comparable. Define the reason for selecting cases and which dimensions will be held constant. Align data periods, definitions and measurement scales. A coastal resort and an urban cultural destination may have different seasonality and market structures, so a simple numerical comparison can mislead. Cross-country research may introduce legal, cultural and language differences. The thesis should explain whether the comparison seeks similarity, contrast, mechanism testing or contextual explanation, and should avoid claiming universal tourism behaviour from a small number of cases.

26. Separate descriptive, explanatory, predictive and causal claims

Tourism research often moves too quickly from patterns to causes. A cross-sectional visitor survey can describe associations but usually cannot demonstrate what caused a trip decision. Interviews can explain perceived mechanisms but cannot estimate population effects without additional design. Booking predictions may forecast demand without explaining why it changes. Decide whether the study is descriptive, explanatory, predictive or causal and use language that matches. Causal claims require timing, comparison and alternative explanations. Narrow credible conclusions are more useful to tourism businesses and destination managers than broad claims unsupported by the research design.

27. Ethics review is not automatic, but ethical obligations remain

UEF’s Research Ethics Committee states that it does not review individual master’s theses as a rule, while theses within broader research projects may fall within project-level ethical review. This does not make tourism research ethics-free. Interviews, surveys, observations, location-related information and online data can involve personal data, vulnerable participants, power imbalances or contextual privacy. Research with employees or small communities may create participation pressure or re-identification risk. Resolve uncertain cases with the supervisor and relevant UEF support before data collection. Collect only necessary data, explain participation honestly and minimise foreseeable harm.

28. Plan research data management before data collection

UEF Data Support provides resources for master’s-thesis data management. Before collection, decide what data will be created, where it will be stored, who can access it, how identifiers will be separated, how files will be named and backed up, and what happens after the project. Tourism data may include names, contact details, location information, booking records, employee material, business performance data or online identifiers. Do not upload confidential participant or company material to consumer cloud or AI tools without an approved basis. Good data management protects participants and partners while making the research process more reproducible.

29. Company or destination collaboration does not make the assessed thesis confidential

TMM projects may involve tourism companies, destination organisations, municipalities or industry partners, but UEF advanced-studies theses are public as a rule and Open Access is recommended. Design collaboration so trade secrets, personal data and sensitive operational details do not need to appear in the assessed manuscript. Agree early on what data can be used, how organisations and participants will be identified, whether aggregation is necessary and how confidential factual details can be checked. A partner can protect legitimate confidential information, but the research question, analysis and academic conclusion remain the student’s independent work.

30. AI can support permitted thesis work, but the abstract is a hard exception

UEF permits AI use in thesis work within current rules, with transparency and student responsibility. Material use should be reported with the tool, purpose and timing, and a faculty, unit or course can issue stricter limits. The absolute boundary is the abstract: AI must not be used at all in the abstract, including checking or translation, because it serves as the maturity test. Tourism projects may also contain participant, location or commercially sensitive information, so do not upload such material to external AI systems without an approved legal and data-protection basis. The student remains responsible for accuracy, sources and final claims.

31. Turnitin, PDF/A, examiners and response rights are formal gates

Before official submission, the completed thesis is checked in Turnitin through eLearn Moodle and the supervisor or principal supervisor reviews the report. After permission, convert the thesis and required appendices into one PDF/A file and submit through UEFe-Services. UEF regulations require two examiners for an advanced-studies thesis, and as a rule one is the supervisor. Reviewers provide a written statement and grade proposal, and the student has an opportunity to respond. Current guidance also provides a route for one suspension of review for revision and possible third-reviewer appointment. After grading, the result is recorded in Peppi and the library processes publication.

32. Build the timeline backwards from seminar and graduation gates

UEF advises thesis submission for review by 30 April for spring completion and 31 October for autumn completion, with degree-certificate applications by 31 May and 30 November. These dates do not replace YK00EY93 or YK00EY94 schedules or supervisor instructions. Work backwards through idea-paper preparation and presentation, topic analysis, literature review, research-plan presentation, methods and ethics decisions, data-management planning, access or recruitment, data collection, analysis, drafting, peer reviews/opponent work, final-paper presentation, supervisor feedback, abstract written without AI, Turnitin, PDF/A, UEFe-Services submission, examination and possible revision. Recheck current Peppi and Business School implementation instructions before every cycle-sensitive action.