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This case describes a real family that has been running a labor-intensive business since 1992. The father, Phil Mason, runs the business with the help of his wife and two of his sons in southwestern Rhode Island. The business is a franchisee of ServiceMaster Clean. In 2006, the franchise employed 20 full-time employees and was the 50th largest ServiceMaster Clean franchise among the approximately 1,200 franchises located in the United States. Annual revenue is approximately $2.5 million. In late 2005, one of Phil℉s sons began researching the biodiesel industry. As he was growing weary of the labor-intensive nature of his franchise business, Phil fully researched the industry himself. By the middle of 2006, Phil was convinced that he could profitably manufacture biodiesel in his spare warehouse space. In July 2006, he formed Mason Biodiesel, LLC and financed the $1.5 million start-up costs through a combination of personal savings and bank debt.

Drawing on upper echelons theory (UET) and arguments from behavioral theory of the firm, this paper aims to contribute to the debate on family involvement-performance relationship, by considering the mediating role of the propensity towards merger and acquisition (M&A) and the moderating role of performance feedback.

The hypotheses are tested by applying a moderated mediation analysis on a sample of 111 German family firms. First, a mediation model is run to verify the mediation role of the propensity towards M&A; then, to evaluate the magnitude of the mediation at different values of the moderator (performance feedback), conditional indirect effects are tested using normal-theory standard errors and bootstrapping procedure.

The main findings suggest that a higher percentage of family members sitting in TMT is related to better performance and that this effect is mediated by the propensity towards M&A. Furthermore, findings also show that a higher percentage of family managers is positively related to the propensity towards M&A and, in turn, exerts a positive effect of firm performance, especially when performance feedback is negative.

The paper suggests to family firms' managers that when performance feedback is negative, a riskier behavior, such as M&A, could represent a way to improve firm performance.

The paper provides a full application of UET to the context of family firms, offers the point of view of TMT, instead of that of ownership, to study the propensity towards M&A in family firms and goes beyond the rational view to explain family managers' risk-taking behaviors.

This paper aims to describe the development of a knowledge management system (KMS) for the Nadir and Occultation for Mars Discovery (NOMAD) instrument on board the ESA/Roscosmos 2016 ExoMars Trace Gas Orbiter (TGO) spacecraft. The KMS collects knowledge acquired during the engineering process that involved over 30 project partners. In addition to the documentation and technical data (explicit knowledge), a dedicated effort was made to collect the gained experience (tacit knowledge) that is crucial for the operational phase of the TGO mission and also for future projects. The system is now in service and provides valuable information for the scientists and engineers working with NOMAD.

The NOMAD KMS was built around six areas: official documentation, technical specifications and test results, lessons learned, management data (proposals, deliverables, progress reports and minutes of meetings), picture files and movie files. Today, the KMS contains 110 GB of data spread over 11,000 documents and more than 13,000 media files. A computer-aided design (CAD) library contains a model of the full instrument as well as exported sub-parts in different formats. A context search engine for both documents and media files was implemented.

The conceived KMS design is basic, flexible and very robust. It can be adapted to future projects of a similar size.

The paper provides practical guidelines on how to retain the knowledge from a larger aerospace project. The KMS tool presented here works offline, requires no maintenance and conforms to data protection standards.

This paper shows how knowledge management requirements for space missions can be fulfilled. The paper demonstrates how to transform the large collection of project data into a useful tool and how to address usability aspects.

Modern meat processing requires automation and robotisation to remain sustainable and adapt to future challenges, including those brought by global infection events. Automation of all or many processes is seen as the way forward, with robots performing various tasks instead of people. Meat cutting is one of these tasks. Smart novel solutions, including smart knives, are required, with the smart knife being able to analyse and predict the meat it cuts. This paper aims to review technologies with the potential to be used as a so-called “smart knife” The criteria for a smart knife are also defined.

This paper reviews various technologies that can be used, either alone or in combination, for developing a future smart knife for robotic meat cutting, with possibilities for their integration into automatic meat processing. Optical methods, Near Infra-Red spectroscopy, electrical impedance spectroscopy, force sensing and electromagnetic wave-based sensing approaches are assessed against the defined criteria for a smart knife.

Optical methods are well established for meat quality and composition characterisation but lack speed and robustness for real-time use as part of a cutting tool. Combining these methods with artificial intelligence (AI) could improve the performance. Methods, such as electrical impedance measurements and rapid evaporative ionisation mass spectrometry, are invasive and not suitable in meat processing since they damage the meat. One attractive option is using athermal electromagnetic waves, although no commercially developed solutions exist that are readily adaptable to produce a smart knife with proven functionality, robustness or reliability.

This paper critically reviews and assesses a range of sensing technologies with very specific requirements: to be compatible with robotic assisted cutting in the meat industry. The concept of a smart knife that can benefit from these technologies to provide a real-time “feeling feedback” to the robot is at the centre of the discussion.

The purpose of this paper is to analyze the characteristics and dynamics of the entrepreneurship ecosystem in the ICT sector in Qatar.

The methodology of this research is based on a literature review and information collected through semistructured interviews with the different stakeholders involved in the entrepreneurship ecosystem in the ICT sector in Qatar.

The results show that two opposite forces shape the entrepreneurship ecosystem in the ICT sector in Qatar. On one hand, the strong determination and intervention of the Qatari government to diversify the economy by creating a vibrant ecosystem in the ICT sector. On the other hand, entrepreneurs in this sector are still facing some barriers and difficulties, and those issues are tightly related to Qatar's economic characteristics as a rentier state whose economy is driven by hydrocarbon resources.

These findings contribute to the clarification and critical analysis of the current dynamics of the entrepreneurship ecosystem in the ICT sector in Qatar, which would have several policy implications.