How Does the Hofstede Cultural Dimensions Model Guide Localisation?

Some localisation decisions can be measured. A date format is either right or wrong. But how many testimonials to show on a page, how much detail to give about the conditions of return, or whether the images should show one person or a family photograph: these do not look measurable. It is for decisions of this kind that cultural models are called upon.

Contents

The Hofstede cultural dimensions model is the framework most used in the localisation literature in this area (Jiménez-Crespo 2024, p. 99). It reduces culture to patterns of behaviour and makes those patterns comparable between countries. That is precisely the part of it that draws interest in localisation.

Below we take the dimensions one by one, give what each amounts to in decisions about a digital product, and discuss the serious limits of the model. The model is not a prescription; used wrongly, it produces cultural stereotype. Used properly, it lifts the discussion inside a team out of the realm of taste and onto ground that can be tested.

What is the Hofstede cultural dimensions model?

The model rests on anthropological psychology and sees culture as a kind of prior programming. The three basic elements that define cultures are perception, symbols and behaviour; together these make up shared values and structured patterns of behaviour (Jiménez-Crespo 2024, p. 99).

For localisation the genuinely interesting component is the third one: behaviour. The dimensions listed under it serve to explain what users expect of an interface. The dimensions are expressed in scores and turned into variables that allow comparison between regions.

The early publications had four dimensions. Long- and short-term orientation, and indulgence and restraint, were added later. This expansion shows that the model developed over time in answer to criticism; its underlying logic, however, has not changed. In practice these six dimensions are not all used with the same frequency; in localisation decisions the first three are far more often the frameworks appealed to, and it is they that really drive the discussion.

Individualism and collectivism

This dimension has to do with whether a person perceives themselves as an individual or as part of a group. According to the examples given in the book, the United States and Australia rank high on the axis of individualism, while Latin American countries and Indonesia rank rather low (Jiménez-Crespo 2024, p. 100).

The adaptations proposed vary accordingly. Where collectivism is high, strengthening community ties, opening chat channels and making family themes visible are found effective. Where individualism is high, a good privacy policy and personalisation work better.

This bears on far more than the choice of images. How the user account is set up, whether sharing features come switched on or off by default, and whose voice the testimonials are given in are extensions of the same dimension. In one market a “share with your friends” button looks natural; in another it may be taken as a breach of privacy.

Power distance and uncertainty avoidance

Power distance has to do with the extent to which an unequal distribution of power is accepted. In contexts of high power distance, making the corporate hierarchy visible, using titles and keeping to a formal register are expected. Where it is low, a plainer, more egalitarian language is received as more natural.

Uncertainty avoidance, for its part, measures the importance given to predictability, structure and order. Hofstede relates it to the need felt for written and unwritten rules. In the examples in the book, Greece, Portugal and Japan rank high on this dimension; Singapore, Sweden and the United States rank low (Jiménez-Crespo 2024, p. 100).

What this dimension amounts to in the interface is very concrete. In markets where uncertainty avoidance is high, the visibility of customer service, step-by-step guided navigation and user testimonials count as effective. These are not design ornament; they are instruments for building trust.

It also matters to see the two dimensions working together. In contexts where high power distance and high uncertainty avoidance are found side by side, the user expects both a formal language and detailed reassurance. Interface text written short and informally then misses both expectations at once, and the product looks unserious.

Masculinity, femininity and orientation in time

The masculinity-femininity dimension describes whether priority is given to achievement or to personal relationships. In Hofstede’s definition, emotional gender roles are clearly separated in masculine societies; in feminine societies the roles overlap and quality of life comes to the fore (Jiménez-Crespo 2024, p. 99).

Long- and short-term orientation has to do with the weight societies give to goals directed at the future. Long-term societies find the person who changes valuable, while short-term societies find the unchanging valuable. This distinction bears directly on the promises made in marketing copy.

The indulgence and restraint dimension describes the tension between strict social norms and the belief that life should be lived freely. The trace of this dimension is seen in advertising images, in the use of humour and in themes of celebration. The same campaign text may be found cheerful in one market and immoderate in another; the difference lies not in the translation but in the frame.

How do the dimensions turn into decisions about a website?

The wide series of studies conducted by the marketing researcher N. Singh applied this model to the comparative examination of localisation. Singh and Pereira’s framework for the culturally customised website is the best known of those studies (Jiménez-Crespo 2024, pp. 99-100).

Dimension	Recommended where it is high	Recommended where it is low
Collectivism	Community spaces, chat, family themes	Personalisation, a strong privacy policy
Uncertainty avoidance	Customer service, guided navigation, testimonials	A plain flow, few steps, flexible options
Power distance	Titles, a corporate and formal register	Egalitarian and direct language

The finding of these studies is this: users prefer sites customised to their own local expectations, develop a more positive attitude towards them and show a greater intention to buy. According to the book, users may spend up to twice as long on a site properly localised into their own language (Baack and Singh 2007).

The same studies report that on properly localised sites the likelihood of users buying something or paying for a service rises threefold (Singh and Pereira 2005). These findings should not be counted as proof on their own, but they are among the most concrete arguments you have when defending a localisation budget.

The limits of the model: the risk of turning into stereotype

Hofstede himself acknowledged the difficulty of determining country and regional scores for these dimensions, and the risk of over-generalisation. He wrote that the scores might be flawed repetitions or personal impressions (Hofstede 1993, cited in Jiménez-Crespo 2024, p. 100).

Another criticism levelled at the model is that the data were originally gathered from the employees of a single company, IBM. That group represents a particular level of income, age and education. The sample, in other words, reflects not the whole population of a country but a narrow occupational slice of it.

Against these criticisms Hofstede proposed the existence of subcultures within dominant cultures. In practice the right attitude is this: use the model to generate hypotheses, not to take decisions. Verify the hypotheses by testing with local users. Otherwise you will have produced stereotype under the name of cultural sensitivity.

How do you use the model on a project?

Using the model properly begins with listing which elements of the product involve a cultural decision. Text is only one of them. Images, default settings, the order of the form fields, the number of required fields and the visibility of support channels are cultural decisions too. Adaptation carried out without drawing up that list remains no more than translation.

The second step is to write an expectation hypothesis for each element. For example, “in this market the user wants to see the conditions of return before the payment step”. The sentence stating the hypothesis has to be one that can later be confirmed or falsified. Vague expressions cannot be measured and do not settle the discussion.

The third step is verification. The book reminds us that the aim of cultural adaptation is not to convince the user that the product was made locally; the aim is that the company should be felt to be acting respectfully and knowingly towards the receiving culture (Jiménez-Crespo 2024, p. 96). That distinction also determines where the adaptation stops.

The Türkiye context

The book gives no scores for Türkiye, so it would not be right to produce numbers here. The practices commonly observed in the Turkish market do, however, coincide with the needs the uncertainty avoidance dimension describes. That cash on delivery remained a widespread option for a long time, that the conditions of return are written out in detail, and the weight product reviews carry in the decision to buy all point to that need. The tendency to prefer, of two sites selling the same product, the one that gives more detail is observed regardless of sector.

The same tendency is seen in the channels of communication as well. That many brands operating in Türkiye keep a support line reachable by telephone and by messaging app is not merely an item of cost. For the user it is the assurance that there is a person to be reached when something goes wrong.

The trace of power distance in the interface shows up in forms of address. In Turkish, the honorific “Sayın” and the use of titles are still common in corporate communication; in products speaking to a young audience, by contrast, a plainer language is preferred. Two different expectations exist side by side in the same country, which is why leaning on a single cultural score is misleading.

What does this mean for you?

If you are having a Turkish version of a site or an application made, the cultural dimensions give you the questions to ask when you place the order. Settling at the outset which elements beyond the text are to be adapted is cheaper than corrections made afterwards. A problem of register noticed after going live affects not only the text but the screenshots, the help content and the advertising assets as well.

Write into the scope document not only the text but the images and the default settings as well.
List the elements of trust: returns, support channel, testimonials, certification.
Choose the level of address to suit the target audience and fix it in a single decision.
Run a small A/B test with two different registers; do not decide by guesswork.
Record the findings in your style guide; do not debate them afresh on every new project.

If you would like to clarify which scope suits you, you can look through the scope of our services and, for budget planning, glance at our pricing page.

Frequently asked questions

How many dimensions does the Hofstede model consist of?

The early studies had four dimensions: individualism-collectivism, power distance, uncertainty avoidance and masculinity-femininity. Long- and short-term orientation and indulgence-restraint were added in later publications.

What exactly is the model good for in localisation?

The dimensions turn cultural differences between regions into variables that can be measured. Comparative recommendations for decisions about content, navigation and images can be produced on that basis.

What criticisms have been levelled at the Hofstede model?

The best known criticism is that the data were originally gathered from the employees of a single company. Hofstede himself also acknowledged that the scores might contain over-generalisation.

Can a ready-made table of scores for Türkiye be trusted?

It should not be trusted on its own. Scores show a general tendency; sector, age group and organisational culture create large differences. Testing with local users is needed before a decision is taken.

Sources

Jiménez-Crespo, M. A. (2024). Localization in Translation. Routledge, pp. 99-101.
Hofstede, G. (2011). Dimensionalizing Cultures: The Hofstede Model in Context. Online Readings in Psychology and Culture.
Singh, N. & Pereira, A. (2005). The Culturally Customized Web Site. Routledge.