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The purpose of this paper is to analyze the differences and similarities that arise between manufacturing and service firms with regard to the impact of business model objectives on marketing innovation activities.

This study focuses on business model objectives and marketing innovations activities. As described by Oslo Manual, marketing innovations involve changes in product design, promotion, placement and pricing. Relationships between business model objectives and marketing innovations are based on the analysis of 9,525 firms, 5,488 of which are manufacturing companies and 4,037 of which are service companies.

Findings reveal distinctive results in the adoption of marketing innovation, depending on the business model objectives being pursued and the type of companies (manufacture or service) considered.

This research goes further than prior studies by identifying more precisely the particularities that differentiate the manufacturing and service sectors.

Firm’s age and size are not significant restrictions to introduce new marketing innovations in manufacturing or service sectors. In contrast, the business model objective to enter a new market is a significant driver of marketing innovations in most cases.

The focus on business model objectives and their impact on marketing innovations is novel. In addition, this study focuses on a large-scale sample that allows us to compare differences between manufacturing and service companies.

The purpose of this paper is to examine how the familiar character of the firm affects its size and performance. Specifically, if the confluence of business and family dimensions affects their chances of survival.

With data from 581 family, small to medium‐sized enterprises (SMEs), the possible negative relationship between family, on the one hand, and size and performance, on the other hand is analyzed. First, the authors made a cluster analysis which distinguishes four groups attending the source of management, family next to external, and the generation, first against the rest. In addition, the authors contrast the existence of non‐linear adjustment through quadratic regressions.

Cluster analysis shows that the firms with family management in first generation are the ones with smaller size and worse performance. Regression analysis contrasts the negative relationship, but exclusively linear in nature. For all companies, regardless of the familiar character, the study confirms a negative relation of quadratic character. This paper clarifies the theories about the life cycle, so that they may be applicable to the family business. The companies must overcome the early stages, where the entrepreneurial impulse is key, to give way to more professionalized structures.

There are two fundamental contributions of this study. The first relates to the use of quadratic functions to model the relationship between family management and size and performance. The second relates to the life cycle of the family business and the role played by the family management; for that end the authors compare companies of family management in first generation with other companies to see to what extent the decision to retain a smaller size to preserve the family character is intentional.

The purpose of this article is to measure knowledge management (KM) implementation and determine KM strategy by assigning KM instruments into KM orientations.

Information is collected from ten SMEs in Spain and ten in Austria taking part in a KM audit project.

Results show that instruments can be used to diagnose KM strategy. Besides, some firm's characteristics as industry, national culture, size and age act as contingent factors. Personalisation strategy is predominant probably due to be more feasible in first KM stages.

Besides the increase of cases, business strategy could be introduced to explore relationships with KM instruments and strategy.

This study helps management to auto‐diagnosis its KM implementation and strategy

Instead of sophisticated measures, KM strategy is revealed considering knowledge instruments use.

The purpose of this paper is to discover the impact of different dimensions of organizational culture (mission culture, adaptability culture, involvement culture and consistency culture) on business excellence results criteria (customer results, people results, society results and business results) in the United Arab Emirates (UAE) and explore the moderating role of information and communication technology (ICT) use in both service and manufacturing industries.

Data were collected by questionnaire from 448 managers in nine companies that have won the Sheikh Khalifa Excellence Award in the last three years. Structural equation modeling was used to examine the data.

Organizational culture is significantly related to business excellence. However, these effects varied for different business excellence criteria. Three organizational culture types had a significant positive role in achieving excellent customer-related results. All four types of organizational culture had a positive role in achieving excellent people-related results. Only two culture types had significant role in achieving excellent society-related results. Business results were positively related to a balance between the four types of organizational culture. ICT use moderated the relationship between organizational culture and results related to customers, people and business, but not society.

This study had some conceptual limitations. In particular, it considered the organizational culture as four types in the research model, but without structuring the indices under each type. It also had some methodological limitations. It was cross-sectional and used a self-administered questionnaire, which means that no causal relationships can be implied, and there may have been some bias in responding.

This is one of the first studies that investigate the relationship between organizational culture and business excellence in UAE excellence award-winning companies.