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The present paper aims mainly to target policy makers in the tourism industry. It seeks to give an overview about using the Portfolio Analysis (PFA) as a tool for analysing tourism flows based on the official accommodation statistics of Statistics Austria, which is electronically available for a 35‐year time series, for more than 1,600 communes, for 15 kinds of accommodation establishments and for more than 60 markets.

Large quantitative data sets deliver a holistic picture of tourism developments by taking several describing variables into account. Multivariate scatter plots using static and dynamic indicators are used as graphical illustration of these data sets.

Based on this comprehensive data set it turns out that the use of portfolio matrices is a useful tool for doing detailed and multidimensional analysis of the available data. Portfolio matrices may be focused on specific questions regarding the status quo of a region or the development of selected markets. In contrast to traditional methods of constituting and publishing tourism statistical data PFA fills potential information gaps by focusing on different variables considering a respective period of time. The paper presents example results for Austria, by using tourism flow, positioning and benchmark analysis.

The results concern data of the official statistics on overnights and arrivals. However, the approach might be used for similar work concentrating on alternative data sets.

The main user's value is receiving information obtained by integrated statistical data. This information is graphically illustrated and therefore easy to interpret, although it is based on highly integrated data of high quality and internal consistency. Depending on the field of interest various combinations of data presentations are feasible.

The paper contributes to the general problem of bringing theoretical models closer to decision maker's needs. It fills potential information gaps of what official statistics are capable of delivering and what is indeed requested by decision makers.

This study aims to investigate the risks associated with managing the dispersed knowledge in inter-organizational arrangements for innovation. Specifically, it proposes a model to analyze the knowledge management risks in open innovation, applied in four steps.

Initially, the authors carried out a systematic literature review (SLR) on the concepts that connect knowledge management, inter-organizational arrangements for innovation and risks. The SLR results led to a complementary theoretical review on the conceptual elements in question. Based on the findings, the authors have developed a model to analyze the knowledge management risks in open innovation, which was validated by experts. It was then studied the case of GOL Airlines, a company that uses innovation to overcome the paradox between low-cost and full service in the commercial air transportation industry, considering the application and adjustment of the proposed model.

Open innovation is one of the inter-organizational arrangement types most applied in the context of innovation. Relations between agents are the primary sources of risks when managing the dispersed knowledge in these arrangements. The authors have found five main risks associated, namely, risk of the innovative effort does not reach the expected objective, risk of knowledge transfer being ineffective, risk of misappropriation of value, risk of dependency (lock-in) and risk of relations.

The practical implication is the proposition of a procedure for applying the model to analyze the knowledge management risks in open innovation, which makes it a prescriptive model for identifying risks. The proposed model is described in four steps, namely, to identify the agents in the environment of the value of open innovation; to identify the types of relations of each agent; to consider the barriers to knowledge management in innovation; and to assess the risks considering the possibilities derived from the agents, their relationships and the barriers. The model is applied in the GOL case and the results are presented.

First, it uses a novel approach to investigate open innovation while studying its risks. This approach considers the knowledge is dispersed and flows from one organization to another through a combination of relations inside the environment of value where the open innovation materializes. Second, it contributes to theory development by opening a research front that fuses four areas: risk management, knowledge management, innovation and inter-organizational arrangements. Third, this paper proposes a theoretical model and presents its operationalization. The study aims to make an impact beyond academia and uses a case study to illustrate the model application in a real and interesting open innovation project to support the business model at GOL Airlines.

There is strong evidence that very long chain omega‐3 polyunsaturated fatty acids (LC3PUFA) are beneficial. The aim of this paper is to review the role of LC3PUFA in health and put this in context with habitual intakes and international recommendations.

A literature review was conducted to locate and summarise relevant published studies and reports.

There is good evidence that LC3PUFA help prevent cardiovascular disease, and may ameliorate inflammatory conditions and mental health issues, as well as supporting cognitive function throughout life. UK dietary surveys show that average fish intakes are well below the recommended two portions per week. Given that the majority of consumers do not eat oily fish, it is reasonable to consider the potential contribution of dietary supplements or fortified foods, although the latter must be sufficiently high in LC3PUFA to merit consideration.

Information on LC3PUFA intakes in the UK is lacking. Future dietary surveys should remedy this and look at the relative contribution of different food groups, including supplements, to LC3PUFA intakes.

This paper gives a concise, up‐to‐date overview on LC3PUFA sources, intakes, recommendations and their impact upon health.

The purpose of this paper is to apply protection motivation theory (PMT) to brick-and-mortar salespeople's responses to customers' fear appeals.

The approach is to develop a conceptual model for the effect of customers' fear appeals on brick-and-mortar salespeople.

PMT relates to the influence of customers' fear appeals on brick-and-mortar salespeople's behaviours. The salesperson's decision whether to follow a retail manager's suggestion about ways to mitigate a customer's fear appeal depends on believed threat severity, believed threat susceptibility, response efficacy, self-efficacy and response costs.

PMT is applied to a new domain: brick-and-mortar salespeople. Although a powerful yet universal emotion, only limited research has examined fear within this group.

Understanding salespeople's fears will help retail managers identify strategies for encouraging adaptive behaviours and deterring maladaptive behaviours by salespeople.

A model relating customers' fear appeals to salespeople's behaviours is introduced.

The purpose of this paper is to understand the effect of store messiness and human crowding on shoppers' competitive behaviours, in-store hoarding and in-store hiding, through the mediating effect of perceived scarcity and perceived competition.

2 (store messiness: messy × tidy) × 2 (human crowding: high × low) between-subject factorial experiment was conducted online to manipulate retail store atmospheric factors. A total of 154 responses were collected through Amazon MTurk. The hypotheses were analysed using ANOVA and PROCESS (Hayes, 2013) procedure.

Results suggest that store messiness and human crowding within a fast-fashion store lead to perception of scarcity and competition that further affects competitive behaviours. When consumers experience store messiness, they are likely to hide merchandise in store, thus making it inaccessible for other consumers. Further, when they experience human crowding in the store, they feel that the products will be gone immediately so they have a tendency to hoard them.

This study examined the effects of scarcity perception by studying the case of fast-fashion retailers; generalizability needs to be established across different contexts.

Retailers by manipulating human crowding and store messiness can create a perception of scarcity in their stores, thus enhancing sales. However, they should also pay attention to deviant behaviours such as in-store hoarding and in-store hiding as these behaviours may decrease the store sales.

This research contributed to the retailing literature by finding a significant relationship between human crowding, store messiness and competitive behaviours through perceived scarcity and competition.