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In response to the rapid growth of the cosmeceutical industry, this study aims to investigate young female consumers' confidence in cosmeceuticals and the perceived competency of cosmeceutical product advertising.

An online survey of 224 young female participants was recruited from an online national young consumer panel from Zoomerang. This group of participants mirrored the characteristics of the largest segment in the cosmeceutical market in the USA.

The results suggest that the perceived information utility of cosmeceutical product advertising is the most significant factor in engaging young female consumers' interests and desire to try cosmeceuticals. Moreover, young female consumers' self‐evaluation on body esteem, their perceived effectiveness of product claims, their interests in reading such advertising, and their attitudes toward advertising jointly affect their likelihood to take cosmeceutical products. Not surprisingly, self‐evaluation on body esteem predicted a negative influence on product purchase intention. As their self‐evaluation on body esteem increases, the likelihood to purchase cosmeceuticals decreases.

The study adds insights on a fast‐growing, but understudied, product category, cosmeceutical products, to the research stream and expands the knowledge on the information utility of cosmeceutical product advertising on young female consumers.

The purpose of this study is to analyze and mitigate consumers’ perceived risk in purchasing cosmeceutical products. The lucrative market of cosmeceuticals has motivated many cosmetics and pharmaceutical companies to rethink their existing product lines to gain a strong foothold in cosmeceuticals industry. It is important that these corporates are taking note and scrambling to integrate their marketing activities to gain a foothold in this emerging sector.

A questionnaire set was created to survey among 473 consumers, using cosmeceutical skincare products as a product group. The risk mitigation and assessment are investigated to understand consumers’ final decision on whether or not to purchase a product.

Results indicate that positive expert opinion reduces consumer risk perception, better product-country image can minimize consumer’s perceived risk and strong brand image lowers perceived risks of consumer.

Practitioners should have a close examination of the product-country image and brand images, as well as an advantageous use of expert opinions – all of which may affect the consumer’s willingness to buy and lower perceived risks associated with the product.

This study enhances the limited research in the new field of pharmaceuticals, which also leads to a better understanding of risk mitigation and factors driving consumers’ willingness to buy a healthcare product.

The waste generated in the process of obtaining orange juice (J) may be used as a natural source of bioactive compounds, thus contributing to the profitability and sustainability of the process. To offer orange J as a dried matter would contribute to the integral valorisation of the J waste and also may expand the field of application.

To find out whether the JW matrix protects the bioactive compounds, the study compares the behaviour of the extracts of the compounds against drying with that resulting from drying the JW for further extraction. Dehydration was carried out at 25 or 50 C and gum Arabic (GA) and bamboo fibre (BF) were used as stabilising biopolymers (Bp). Vitamin C (VC) (L-ascorbic and L-dehydroascorbic acids [AA and DHAA, respectively]) and hesperidin (HES) were analysed before and after the drying.

The results suggest that to dry the JW gives a higher yield of bioactive compounds, which are also more stable, than when the extract is dried. Furthermore, both the higher temperature and the presence of the Bp favour the extraction of both VC and HES. In this way, all the waste from the orange J-processing industries is converted into a high-value product to be used for cosmeceutical or nutraceutical purposes and also as an ingredient for human food.

The utilisation of organic waste for use in human food, but also in other sectors, is part of the new economic model that aims to do away with the concept of waste as people know it, focussing on a new paradigm in which each resource is a nutrient for nature, industry or society.

The results suggest that to dry the waste gives a higher yield of bioactive compounds, which are also more stable, than when the extract is dried. Furthermore, both the higher temperature and the presence of the Bp favour the extraction of both VC and HES. In that way, all the waste from the orange J-processing industries are converted into a high-value product to be used for cosmeceutical or nutraceutical purposes and also as an ingredient for human food.

The purpose of this paper is to deepen the countervailing relationship between control and innovation in knowledge-intensive complex organizations. It adopts a middle range theory perspective (Broadbent and Laughlin, 2013) to explore how control systems and innovation dynamics interact and shape each other in the contexts of high complexity and intensive knowledge creation.

The paper employs single case study of a research-intensive biotech network located in Southern Italy, focusing on the change in the management accounting practices fostered by evolving environmental conditions and regulations that the network has faced in recent years.

The paper finds out how successful organizational changes are facilitated by the implementation of innovative control devices, favoring informal collaborative relationships, which in turn contribute to further innovate and to share knowledge and capabilities within the organization.

The findings are relevant to all organizations involved in complex processes of co-production of knowledge and innovation. They allow for unpacking the “black box” of the interplay between innovation and control, which is becoming increasingly central to these organizations and to policy makers.

The value of the study lies in its ability to depict how contrasting and molding forces in control systems and innovation dynamics contribute to re-shape a complex organizational setting. The study offers a newer perspective of analysis to interpret the role of control systems in innovative networks, thus contributing to the growing academic debate on the antecedents and facilitators of knowledge sharing and knowledge integration.

The convergence of industries exposes the involved firms to various challenges. In such a setting, a firm's response time becomes key to its future success. Hence, different approaches to anticipating convergence have been developed in the recent past. So far, especially IPC co-classification patent analyses have been successfully applied in different industry settings to anticipate convergence on a broader industry/technology level. Here, the aim is to develop a concept to anticipate convergence even in small samples, simultaneously providing more detailed information on its origin and direction.

The authors assigned 326 US-patents on phytosterols to four different technological fields and measured the semantic similarity of the patents from the different technological fields. Finally, they compared these results to those of an IPC co-classification analysis of the same patent sample.

An increasing semantic similarity of food and pharmaceutical patents and personal care and pharmaceutical patents over time could be regarded as an indicator of convergence. The IPC co-classification analyses proved to be unsuitable for finding evidence for convergence here.

Semantic analyses provide the opportunity to analyze convergence processes in greater detail, even if only limited data are available. However, IPC co-classification analyses are still relevant in analyzing large amounts of data. The appropriateness of the semantic similarity approach requires verification, e.g. by applying it to other convergence settings.

The purpose of this paper is to present a social network approach for identification of micro-organizational re-design interventions to make more efficient and fluid the knowledge flow in a rehabilitation multidisciplinary team. The structural information of different kinds of knowledge networks within a team is augmented with additional analyses aimed at collecting information about the ways through which participants use knowledge, the motivation behind knowledge exchange, and the non-human knowledge sources used by subjects to perform their work. This paperwork was supported by CNCSIS – UEFISCDI, project number PNII – IDEI 810/2008.

The authors propose a definition of knowledge network including human and non-human knowledge source (documents and knowledge repositories) as it is more adequate for the analysis of knowledge flows in multidisciplary medical teams. The mapping and analysis of the network are carried out through: elicitation of knowledge flows between people within and outside the team through a structured questionnaire; mapping of the knowledge flows toward non-human knowledge sources; and identification of critical aspects and proposal of re-engineering interventions to make knowledge flow more efficient and effective.

The analysis of the critical aspects emerged in the field study identifies a number of opportunities to improve the efficiency and effectiveness of knowledge sharing through the re-design of the team network. The re-design interventions concern three main features of knowledge network: “knowledge centralization,” “Over-reliance on External experts,” “Unshared knowledge tools and sources.”

The originality of the work resides in applying social network analysis (SNA) for healthcare management settings, proving evidence and guidelines to show how healthcare organizations can benefit from the adoption of SNA-based approaches.

The authors have developed an educational model that operates at the undergraduate level and aims to produce graduates who can comfortably operate in the gulf between the laboratory bench and the commercial marketplace. The purpose of the paper is to describe the course, approaches, activities and initial outcomes of the Bachelor of Biotechnology Innovation course at Queensland University of Technology.

Students undertake “hard science” subjects and business subjects on entrepreneurship, innovation and market development. Synthesis of these disparate disciplines is driven through formation of virtual companies that serve to contextualize subject content and provide start‐up company experience across the four‐year course. Student companies design biotechnology products and processes and can progress their product through initial research and development phases or undertake an industry‐based internship working as a team on initial concept projects. This focused, team‐based approach to learning is contrary to traditional science courses that focus on the individual.

Outcomes include graduates of high quality that have moved into positions associated with commercialization and technology transfer where previously a PhD and MBA were required qualifications. Other measures of course success include acceptance and promotion of the new course by business, academia and government.

Postgraduate courses provide the most common pathway for assisted self‐development of entrepreneurial skills in science and engineering graduates. In contrast, this model aims to train entrepreneurs in technological disciplines at an undergraduate level in a framework where innovation and enterprising behaviour are embedded in the fabric of the degree.