International marketing research. Information needed Assessment of global market opporutnities (demand) for the firm´s product Competitiveness of the.

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Presentation transcript:

International marketing research

Information needed Assessment of global market opporutnities (demand) for the firm´s product Competitiveness of the firm compared to local and international competitors Market potential – ranking of countries Trade barriers Political risks Cultural (psychic) distance Nature of the product Size of market/segments Behaviour of potential intermediaries Transport costs… Deciding whether to internationalize Deciding which market to enter Designing how to enter foreign market

Categorization of the data for assessment of a market potential internal data external data Strengths- weaknesses profile (bench- marking) primary data secondary data internal data external data Firm general data Problem: Is there a market for the firm´s product in country A If yes, how large is it? Macroeconomic data of the country A Industry of the country A Competitors specific strategies endcustomersintermediaries

Secondary data - research   + less expensive   +less time consuming   +quick   +important data   - non-availability of data   - ?reliability of data( accuracy?)   - ?data classification (too broad?)   -?comparability of data (national definitions of statistical phenomena)   _resource.cfm?infid=20&srcpg=6&cou ntrynum=1&subjectnum=13 World Bank Group _resource.cfm?infid=20&srcpg=6&cou ntrynum=1&subjectnum=13   m International Monetary Fund m   PriceWaterhouseCoopers   ASEAN   Political and Economical Risk Consulting Ltd. (PERC)   World Trade Organization   The Federation of International Trade Association

Primary data - research QUALITATIVE - depth   holistic view of the research problem – understanding – reasons and motives   Exploratory   Small sample size   Key informants   Subjective, interpretative data analysis   Low/no replicability with the same result   Special skills of interviewer   QUANTITATIVE -breadth   generalize the results – general view   Descriptive and/or casual   Large sample size   Representatives of the population   Statistical summary   high replicability with the same result   Design phase – formulations and questions must be correct – high time consumption   Low time consumption during analysis phase First-hand Tailor-made to answer specific research question Specfic, relevant and up-to-date data

Research design – primary data collection Research problem/objective (determine the information requirement Research approaches observationsurveysexperiments Contact methods mail/internettelephonepersonal Sampling plan s. units. procedures. size Contact medium Design of a questionnaire Formulation of questions

Problems with primary research in international market   Sampling – lack of adequate demographic data and lists + no officially recognized census of population, no accurate maps, incomplete and out-of date telephone directories…   Non-response (not being available, refusal to respond – privacy?, too personal? Doesn´t know?...)   Language barrier   Strict privacy laws in Europe   Gender…

Equivalence of international MKT research - categories   1. conceptual - similar meaning of concept? beauty, sex-appeal, health, wealth, youth, household… Example: RISK construct – social, physical, financial – BUYING A CAR   2. functional – different functions of similar activities/products? preparing a meal, bicycle, hot-milk based chocolate drinks, fountain pen, wine, beer…   3. translation – lexical, idiomatic, grammatical-syntactical (wors order, sentence construction, experiential   4. measure equivalence – perceptual (colours, smells…), metric (scale depth and breadth - terms), calibration (monetary units, basic units…), temporal (dates and time periods)

  5. sample – differences in categories (age, income brackets, professions…., sampling unit (characteristics of respondents)   6. data collection – respondents co-operation – willingness to answer, context equivalence of data collection, response-style („yes-saying patterns or „nay- saying patterns, item non-response pattern – income, age…, extreme response style- positive, negative?)