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The purpose of this paper is to demonstrate an approach to include the influence of design attributes (DA) into an early product development step. In general, the development of new products with market success is of high relevance for companies. Because of a relatively high-quality level in general, not the product quality itself but rather new issues as attributes with aesthetical values are becoming more and more important. However, the right consideration of these attributes is still one of the challenges.

The underlying investigation is based on an empirical data set resulting from a survey with motorcycles as research object. Motorcycles are a good example for a good with a certain relevance of DA for the buying decision of customers. The data collection and analysis will focus on a recommended presentation alternative of measuring perceptions and influences through customer evaluations, separating customer segments and identifying differences. Therefore, data analysis methods such as cluster analysis will be applied.

The findings are new for researchers from a theoretical and from a practical point of view. The results verify the use of pictorial stimulus presentation and emphasize the necessary integration of DA within the product development process.

Within the paper the usefulness of the consideration of design elements in case of gathering customer meanings is highlighted. Therefore, existing approaches of measuring design attribute influences and using pictorial instead of verbal descriptions of stimuli are adopted and enhanced through the use of additional information of the respondents.

The management of children′s literature is a search for value and suitability. Effective policies in library and educational work are based firmly on knowledge of materials, and on the bibliographical and critical frame within which the materials appear and might best be selected. Boundaries, like those between quality and popular books, and between children′s and adult materials, present important challenges for selection, and implicit in this process are professional acumen and judgement. Yet also there are attitudes and systems of values, which can powerfully influence selection on grounds of morality and good taste. To guard against undue subjectivity, the knowledge frame should acknowledge the relevance of social and experiential context for all reading materials, how readers think as well as how they read, and what explicit and implicit agendas the authors have. The good professional takes all these factors on board.

Travel destinations worldwide are seeking smart ways to reduce the negative impact of tourism, and the public bike rental service (PBRS) is one of them. To investigate the usage intention of this service among visitors, the author of this research employs an integrated approach consisting of two psychological frameworks: the Norm Activation Model (NAM) and the Technology Acceptance Model (TAM).

The integrated NAM-TAM model is implemented to conduct a survey (sample n = 777) with visitors to Hanoi, Danang, and Ho Chi Minh City regarding the factors underlying their intentions to continue using the PBRS TNGo.

Structural equation models suggested that: (1) the NAM-TAM can explain behavioural intention to use a smart PBRS. Perceived Usefulness (PU), Perceived Ease of Use (PE), and Awareness of Consequences (AC) have positive and significant impacts on Attitude Towards Using (AT) and, thus, on Behavioural Intention to Use (BI). Also, Personal Norms (PN) positively influence BI. (2) Among the four independent variables, tourists' AC produces the most potent effect on the intention to continue using a PBRS.

This study can start a new research direction of combining the NAM with other theoretical frameworks to explain customer behaviour in the field of sustainable tourism practices. Future research should explore the proposed model based on comparisons of different tourists’ backgrounds, including nationality, length of stay, spending level, visiting purpose, etc.

This research provides strategic implications for destination management organisations in boosting the use of PBRS amongst tourists, contributing to the environmental sustainability targets of the tourism industry.

This study responds to the existing gap by examining both functional value (indicated by PU and PE) and perceived environmental/social value (proxied by AC) in forming tourists’ attitudes towards PBRS and their usage intention. Our study, therefore, actively contributes to the research stream of tourist behaviour in the field of sustainable tourism practices from the altruistic behavioural perspective.

This paper aims at identifying the main contributions of Industry 4.0 (I4.0) technologies to the enhancement of knowledge management (KM).

A scoping review based on two stages was carried out. In the first stage, a numerical and descriptive analysis was conducted. In the second stage, the latent content of those papers was explored through a qualitative analysis, in which papers were assessed regarding the outcome of the implementation of ten I4.0 technologies on 14 KM abilities and 6 KM processes.

Six technologies (e.g. Internet of Things (IoT), big data, cloud computing, simulation, visualisation and industrial robot) were claimed to have a significant contribution on KM, especially for creation, organisation, dissemination and application processes. Overall, results indicated that technologies can significantly contribute to KM, although the extent of such contribution varies across technologies, learning levels, KM processes and abilities.

Existing studies in I4.0 fall short in exploring how embodied knowledge is articulated in practice, especially regarding opportunities to use new technological alternatives in favour of knowledge and learning development. This study complements the existing literature on I4.0 by identifying which technologies can contribute to KM. Also, a framework was proposed to examine the contribution of I4.0 technologies to KM at individual, team, and organisational levels.

The phycocyanin is a pigment present in the microalga Spirulina that has been studied due to its applicability as food coloring; however, it can be used due to the ability to act as an emulsifier or stabilizer in function of its protein characteristic. The purpose of this paper is to use aqueous extracts of Spirulina containing phycocyanin (EP) as a substitute of additives in the production of ice creams.

The study was divided in two sections: first, the influence of addition of EP in ice cream bases (that represent the ice cream preparation before air incorporation step) and second, the influence of addition of EP in five ice cream formulations, in which the differences were the addition of EP in substitution of stabilizer, Chantilly or emulsifier, one at a time or in substitution of all additives together, by the EP.

The different ice creams developed presented centesimal composition according to Brazilian legislation in relation to the chemical parameters. The EP presented emulsifying and stabilizing activity in the ice creams formulations acting in substitution of emulsifier and stabilizer presented in the standard formulation, not influencing the overall acceptability of consumers.

The authors demonstrate that the aqueous extract of Spirulina containing phycocyanin can be used as a natural additive in ice cream in substitution of emulsifiers and stabilizers normally used in this product, contributing to produce more healthy foods, once phycocyanin is an protein of high nutritional value.

Expert systems are computer-based systems that mimic the logical processes of human experts or organizations to give advice in a specific domain of knowledge. Fuzzy expert systems use fuzzy logic to handle uncertainties generated by imprecise, incomplete and/or vague information. The purpose of this paper is to present a comprehensive review of the methods and applications in fuzzy expert systems.

The authors have carefully reviewed 281 journal publications and 149 conference proceedings published over the past 37 years since 1982. The authors grouped the journal publications and conference proceedings separately accordingly to the methods, application domains, tools and inference systems.

The authors have synthesized the findings and proposed useful suggestions for future research directions. The authors show that the most common use of fuzzy expert systems is in the medical field.

Fuzzy logic can be used to manage uncertainty in expert systems and solve problems that cannot be solved effectively with conventional methods. In this study, the authors present a comprehensive review of the methods and applications in fuzzy expert systems which could be useful for practicing managers developing expert systems under uncertainty.