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Purpose – This chapter introduces two empirical models that could be used to examine the influence of Eastern and Western culture on strategic management: the cultural consensus model (CCM) and the cultural mixture model (CMM).

Methodology/approach – We describe how strategic management scholars can use these models and suggest areas where these models can be of greatest use, including international market entry, international mergers and acquisitions and international alliances, global headquarters and subsidiary relationships, and corporate governance.

Findings – Originally developed by cognitive anthropologists and cultural psychologists, these models can measure domain specificity, scope, and heterogeneity of cultural influences within and across Eastern and Western societies; can address multilevel issues; and can measure an individual or firm's representativeness of the culture.

Social implications – This new research methodology can help strategic management researchers address the impact of “West meets East” on strategic management outcomes and processes.

Originality/value of chapter – The two empirical models provide methodologies that integrate qualitative and quantitative methods.

Welcome to the seventh volume of Research Methodology in Strategy and Management. The mission of this book series is to provide a forum for critique, commentary, and discussion about key methodology issues in the strategic management field. Strategic management relies on an array of complex methods to understand how firms can attain and sustain competitive advantage. How researchers employ different methods to conduct their research in different research contexts and understand the implications associated with their research choices is fundamental to the methodological rigour and the advancement of strategic management theory.

The paper seeks to bridge the already familiar benefits of 3D printing (3DP) to the rehabilitation of cultural heritage, still based on the use of complex and expensive handcrafted techniques and scarce materials.

A compilation of different information on frequent anomalies in cultural heritage buildings and commonly used materials is conducted; subsequently, some innovative techniques used in the construction sector (3DP and 3D scanning) are addressed, as well as some case studies related to the rehabilitation of cultural heritage building elements, leading to a reflection on the opportunities and challenges of this application within these types of buildings.

The compilation of information summarised in the paper provided a clear reflection on the great potential of 3DP for cultural heritage rehabilitation, requiring the development of new mixtures (lime mortars, for example) compatible with the existing surface and, eventually, incorporating some residues that may improve interesting properties; the design of different extruders, compatible with the new mixtures developed and the articulation of 3D printers with the available mapping tools (photogrammetry and laser scanning) to reproduce the component as accurately as possible.

This paper sets the path for a new application of 3DP in construction, namely in the field of cultural heritage rehabilitation, by identifying some key opportunities, challenges and for designing the process flow associated with the different technologies involved.

The study aims to cluster the travellers based on their social media interactions as well as to find the different segments with similar and dissimilar categories according to traveller's choice. The study also aims to understand the behaviour of clusters of the travellers towards destination selection and accordingly make the tour packages in order to improve tourists' satisfaction and gain viable benefits.

Agglomerative hierarchical clustering with Ward's minimum variance linkage algorithm and model-based clustering with parameterized finite Gaussian mixture models has been implemented to achieve the respective goals. The dimension reduction (DR) technique was introduced for better visualizing clustering structure obtained from a finite mixture of Gaussian densities.

A total of 980 travellers have been clustered into 8 different interest groups according to their tourism destinations selection across East Asia based on individual social media feedback. For selecting the optimal number of clusters as well as the behaviour of the interested travellers groups, both these proposed methods have shown remarkable similarities. DR technique ensures the reduction in dimensionality with seven directions, of which the first two directions explained 95% of total variability.

Tourism organizations focus on marketing efforts to promote the most attractive benefits to the clusters of travellers. By segmenting travellers of East Asia into homogeneous groups, it is feasible to choose a similar area to test different marketing techniques. Finally, it can be identified to which segments, new respondents or potential clients belong; consequently, the tourism organizations can design the tour packages.

The study has uniqueness in two aspects. Firstly, the study empirically revealed tourists' experience and behavioural intention to select tourism destinations and secondly, it finds quantifiable insights into the tourism phenomenon in East Asia, which helps tourism organizations to understand the buying behaviours of tourists' segments. Finally, the application of clustering algorithms to achieve the purpose of this study and the findings are very new in the literature on tourism, to understand the tourist behaviour towards destination selection based on social media reviews.

The purpose of this paper is to compare music mood perceptions of people with diverse cultural backgrounds when they interact with Chinese music. It also discusses how the results can inform the design of global music digital libraries (MDL).

An online survey was designed based on the Music Information Retrieval Evaluation eXchange (MIREX) five-cluster mood model, to solicit mood perceptions of listeners in Hong Kong and the USA on a diverse set of Chinese music. Statistical analysis was applied to compare responses from the two user groups, with consideration of different music types and characteristics of listeners. Listeners’ textual responses were also analyzed with content coding.

Listeners from the two cultural groups made different mood judgments on all but one type of Chinese music. Hong Kong listeners reached higher levels of agreement on mood judgments than their US counterparts. Gender, age and familiarity with the songs were related to listeners’ mood judgment to some extent.

The MIREX five-cluster model may not be sufficient for representing the mood of Chinese music. Refinements are suggested. MDL are recommended to differentiate tags given by users from different cultural groups, and to differentiate music types when classifying or recommending Chinese music by mood.

It is the first study on cross-cultural access to Chinese music in MDL. Methods and the refined mood model can be applied to cross-cultural access to other music types and information objects.

The purpose of this paper is to examine early sociological research on the experience of non-impaired siblings in families of children with disabilities for evidence of an approach consistent with aspects of the social model of disability.

Due to the historical nature of this special issue, this work examines research published over a 30-year period beginning with the 1960s and ending with the late 1980s. After an extensive literature search, a mixture of 51 quantitative and qualitative studies on the sibling experience was included in the sample.

Findings indicate that while the focus of much of the early research on the non-impaired sibling experience was on the negative impact of having a sibling with impairments, there were some exceptions in early sociological studies that highlighted the impact of structural barriers and cultural attitudes on sibling adjustment. In particular, results of early studies showed that the transmission of inclusionary attitudes within the family unit can improve the lives of siblings.

Since the publication of Van Raaij and Verhallen’s seminal work in European Journal of Marketing in 1994, identifying the domain-specific market segmentation approach as one of the most feasible for segmenting markets, there has been surprisingly limited development in this field, with the food domain as the only exception. This study aims to develop a methodological approach using latent class mixture modelling as contribution in the domain-specific market segmentation field.

This study captures the AIO lifestyle perspective using a domain-specific 80-item algorithm which has the wine (product) domain as its focus. A sample size of 811 consumers is used from data collected by means of the CATI approach.

The authors use four criteria for model selection: comparison of the Bayesian information criterion (BIC) statistic, comparison of classification error, verification of the interpretation of the derived segments and, finally, use of the conditional bootstrap procedure to test whether the selected model provides a significant improvement over the previous model. The five-segment model option yields a minimum BIC, the classification error measure is minimal and is easier to interpret than the other models. Segment descriptions for the five identified lifestyle-based segments are developed.

Segmentation by traditional k-means clustering has proven to be less useful than the more innovative alternative of mixture regression modelling; therefore, the authors identify segments in the market on the basis of individuals’ domain-specific lifestyle characteristics using a latent class mixture modelling approach.

Following the attainment of a clear and robust market segmentation structure, the simultaneous analysis of the lifestyles, demographics and behaviours of consumers as nexus of the domain-specific segmentation approach, provides rich and valid information accurately informing the market segment descriptions.

The authors make a substantive contribution by developing a methodological approach using latent class mixture modelling; the first of its kind in the area of domain-specific segmentation. Next, they use the discriminant and/or predictive validity of the 80-scale items to predict cluster membership using the WRL algorithm. Finally, the authors describe the identified market segments in detail and outline the practical implications.

The purpose of this paper is to propose a theoretical model for the in‐depth study of organizations, producing a framework which makes it possible to clarify many propositions and to specifically test the theory. In order to carry out this assignment, the paper has two sub‐objectives.

The first one studies the adaptation of the internal culture‐structure variables as a way to determine the congruity of the components of the companies which form the real structure and to study the behavior that is expected from the people in the organization. The second sub‐aim is to analyze whether the partial adaptations of real structure mentioned above are orientated correctly towards the achievement of the strategic aims. Only a suitable design of the real structure which in turn enables the attainment of the aims raised by the strategy will give rise to the obtaining of a suitable level of efficiency.

The key contribution of the paper is to render operative in practical terms such a diffuse concept as is the alignment model.

Alignment theory has been combined with configuration theory to detect the ideal cultural, structural, and strategic options and making the comparison with the real forms possible in order to analyze the possible deviations and to predict the level of efficiency.

In view of the scarcity of studies on the relationship between national culture and total quality management (TQM), this paper examines the impact of Chinese cultural values on the total quality climate. Using a sample of 189 ISO 9000 certified companies in Taiwan, results from structural equation modeling indicate that Chinese cultural values do have a positive and statistically significant influence on these organizations’ quality climate. Given the results from a quantitative viewpoint, some congruencies among Chinese values and quality climate elements are suggested. Although using the case of Chinese culture, the theoretical proposition raised should gain generalizability in other national cultures towards a culturalist approach to the theorization of TQM.