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Family businesses often lack sufficient knowledge about digital business model innovation digital business model innovation (BMI). This study's purpose was to analyze how and when organizational readiness for digital innovation exerts a positive impact on family businesses' digital BMI. To do so, the authors examined the mediating effect of the familiness learning mechanism and the moderating effect of family involvement on this relationship.

A quantitative survey method was used to collect the data for this study. Using a sample of 282 family businesses involved in manufacturing in China, the authors conducted hierarchical regression analyses to evaluate the authors' theoretical model.

The results of this work demonstrate a positive relationship between organizational readiness for digital innovation and family businesses' digital BMI, and the find that the familiness learning mechanism mediates this relationship. The findings also show that second-generation family involvement in management moderates the direct effect of organizational readiness for digital innovation on the familiness learning mechanism, as well as the indirect effect of organizational readiness for digital innovation on digital BMI via the familiness learning mechanism. Moreover, the results establish that family involvement in ownership moderates the direct effect of the familiness learning mechanism on digital BMI, as well as the indirect effect of organizational readiness for digital innovation on digital BMI via the familiness learning mechanism.

This study provides practical contributions to the literature on family businesses and to public policy, providing concrete suggestions for fostering digital innovation in family enterprises. This study also enriches our understanding of the unique conditions by which family businesses can successfully implement digital BMI.

This research confirms that organizational readiness for digital innovation is an antecedent of digital BMI. This finding offers a new perspective that helps explain what might lead family businesses to engage in digital BMI. This study also places the familiness learning mechanism into a theoretical framework, which expands the current understanding of how organizational readiness for digital innovation facilitates digital BMI. Moreover, this work provides new insights into the boundary conditions by which organizational readiness for digital innovation affects the digital BMI of family businesses in terms of second-generation family involvement in management and family involvement in ownership.

The paper aims to investigate the possibilities to control friction in lubricated systems by surface patterning, making use of a multi-scale approach. Surface patterns inside the tribological contact zone tend to directly reduce friction, whereas surface patterns located in the close proximity of the contact area can improve the tribological performance by avoiding lubricant starvation and migration. Finally, optimized surface patterns were identified by preliminary laboratory tests and transferred to a journal bearing, thus testing them under more realistic conditions.

Surface patterns on a large scale (depth > 10 µm) were fabricated by micro- and roller-coining, whereas surface patterns on a small scale (depth < 2 µm) were produced by direct laser interference patterning. The combination of both techniques resulted in multi-scale surface patterns. Tribologically beneficial surface patterns (verified in ball-on-disk laboratory tests) were transferred onto a journal bearing’s shaft and tested on a special test-rig. To characterize the lubricant spreading behavior, a new test-rig was designed, which allowed for the study of the lubricant’s motion on patterned surfaces under the influence of a precisely controlled temperature gradient.

All tested patterns accounted for a pronounced friction reduction and/or an increase in oil film lifetime. The results from the preliminary laboratory tests matched well, with results from the journal bearing test-rig, both tests showing a maximum friction reduction by a factor of 3-4. Numerical investigations, as well as experiments, have shown the possibility to actively guide lubricant over patterned surfaces. Smaller periodicities, as well as greater structural depths and widths, led to a more pronounced anisotropic spreading and/or greater spreading velocities. Multi-scale surfaces demonstrated the strongest effects regarding the lubricant’s spreading behavior.

Friction, as well as lubricant migration, can be successfully controlled by using micro-coined, laser-patterned and/or multi-scale surfaces. To the best of the authors’ knowledge, the study demonstrates for the first time the unique possibility to transfer results obtained in laboratory tests to a real machine component.

This study, leveraging the upper echelon and social network theories, aims to explore the association between chief executive officers (CEO’s) polychronicity and small and medium size enterprises (SMEs’) international performance under the complete mediation effect of social networks. The paper explores this relationship under the moderation effect of CEO perceived time pressure and synchrony preference.

The paper investigates a moderated mediating relationship based on a sample of 186 UK firms.

The findings of this study suggest that social network fully mediates the CEO polychronicity and firm international performance relationship. Furthermore, CEO perceived time pressure moderates the social network and SME international performance relationship such that it reduces the positive indirect association between CEO polychronicity and SME international performance. CEO synchrony preference, on the contrary, enhances the positive indirect association between CEO polychronicity and SME performance.

Extant research suggests SMEs having a more robust set of organizational capabilities helps them network and avail foreign market knowledge. However, research exploring antecedents of this organizational capability is scant.

Crete, an exquisite island, is located between Europe, Asia and Africa, and in the north, is it surrounded by the Cretan Sea and in the south, by the Libyan Sea. It has become known as one of the most alluring tourist destinations in Europe. This is attributed to its geographical location, extraordinary flora and fauna, a unique natural phenomenon, such as the Gorge of Samaria, and its rich historical monuments. The archaeological sites in Crete (Knossos palace) are worldwide known and can be visited along with the famous Byzantine monuments. As it is understood, such churches and their artifacts mainly appeal to visitors with particular religious interests. At the same time, for the modern tourist who is interested beyond the usual attractions, there are also developed traditional settlements, the Sustainable tourism and Ecotourism, traditional cultural events and feasts, as well as exhibitions of popular art. Regarding the economy, over the last decade, an important growth in agriculture (the climate encourages a lot of bio‐cultures), industry and finally tourism has taken place. However, a more general growth is also to be seen in other economic sectors (manufacture, trade etc.) that benefit from the increase in the number of consumers annually, due to the surge in tourism. This radiograph of the island of Crete demonstrates all the natural and cultural elements that are impressive and rare within one area, and which, if exploited correctly, may create other tourist models based on natural and cultural resources.

This article aims to examine the boundary conditions of the relationship between career planning and turnover intention and the joint moderating effects of career plateau and risk-taking propensity on the relationships between career plateau and turnover intention.

The data of this paper is collected from 231 employees from Taiwanese organizations with more than four years of work experience.

The results indicate that career plateau significantly moderates the relationships between career planning and turnover intention. The relationships between career planning and turnover intention are weaker when career plateau and risk-taking propensity are low in the three-way interaction effect.

The article examined the moderated moderation model of career planning and turnover intention using career plateau and risk-taking propensity as moderators.

This study aims to investigate the adoption intention of artificial intelligence (AI) in family businesses through the perspectives of digital entrepreneurship and entrepreneurship orientation.

The study examines contributing factors explaining the adoption intention of AI in the context of family businesses. The developed research model is examined and validated using structural equation modelling based on 631 respondents' data. Purposeful sampling is used to collect the respondents' data.

The proposed model included two endogenous (i.e. business innovativeness and adoption intention) and six exogenous variables (i.e. affordances, culture and flexible design, entrepreneurial orientation, generativity, openness and technology orientation) through ten direct paths and three indirect paths. The results depicted the significant influence of all the exogenous variables on the endogenous variable reflecting support of all the hypotheses. The business innovativeness partially mediates the relationships of culture and flexible design, entrepreneurial orientation and technology orientation with adoption intention. Further, the results demonstrated a model variance of 24.6% for business innovativeness and 64.2% for adoption intention of artificial intelligence in the family business.

The study contributes to theoretical developments in entrepreneurship and family business research and AI's theoretical progress, especially to digital entrepreneurship.

Theoretically, it contributes to the literature of entrepreneurship, particularly digital entrepreneurship. Additionally, the research model adds to the role of entrepreneurial orientation and digital entrepreneurship in the emerging family entrepreneurship literature. Considering the scarcity of research in this field, the empirically validated model explaining critical antecedents of AI adoption intention in the family business is a foundation for discussion, critique and future research.

This study aims to investigate the impact of family ownership on cooperative research and development (R&D). Drawing on the ability and willingness paradox framework in family business research, the authors suggest that family ownership influences cooperative R&D via two opposing mechanisms: power concentration and wealth concentration. It also deepens the current understanding of the boundary conditions of informal institutions for the impact of family ownership on cooperative R&D by investigating the moderating role of political ties.

The authors analyze a panel of 610 Chinese manufacturing family firms and 2,127 firm-year observations from 2009 to 2017. Fixed effects regression analysis is used to test the hypotheses, with the two-stage Heckman model to address sample selection bias.

The research findings indicate that family ownership has an inverted U-shaped relationship with cooperative R&D and political ties moderate the relationship in such a way that the inverted U-shaped relationship will be steeper in firms with more political ties than in firms with fewer political ties.

Family ownership influences firms’ cooperative R&D through the positive effect of power concentration and the negative effect of wealth concentration. Family owners should, therefore, take advantage of concentrated power, for instance, by adapting quickly and committing sufficient resources to cooperative R&D opportunities, while controlling path-dependent relationship development caused by concentrated family wealth. The effect of political ties on the relationship between family ownership and cooperative R&D is found to be a double-edged sword.

This study extends the ability and willingness paradox framework and provides novel insights into cooperative R&D in family businesses by integrating power concentration and wealth concentration associated with family ownership. Moreover, this study provides a contingency perspective and introduces the moderating role of political ties in shaping cooperative R&D in family firms.

The purpose of this paper is to describe the pre‐design and sizing of a smart leading edge section which is developed in the project SADE (Smart High Lift Devices for Next Generation Wings), which is part of the seventh framework program of the EU.

The development of morphing technologies in SADE concentrates on the leading and trailing edge high‐lift devices. At the leading edge a smart gap and step‐less droop nose device is developed. For the landing flap a smart trailing edge of the flap is in the focus of the research activities. The main path in SADE follows the development of the leading edge section and the subsequent wind tunnel testing of a five meter span full‐scale section with a chord length of three meters in the wind tunnel T‐101 at the Russian central aero‐hydrodynamic institute (TsAGI) in Moscow.

The presented paper gives an overview over the desired performance and requirements of a smart leading edge device, its aerodynamic design for the wind tunnel tests and the structural pre‐design and sizing of the full‐scale leading edge section which will be tested in the wind tunnel.

SADE aims at a major step forward in the development and evaluation of the potential of morphing airframe technologies.