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This study contributes to the scant research on dealcoholised wine from a consumer behaviour perspective by providing insight and reporting on the attributes that South African Generation Y consumers prefer when purchasing dealcoholised wine.

A two-phased research approach was adopted, involving a main quantitative phase, preceded by a qualitative phase. Data were gathered from 626 South African Generation Y respondents by means of a questionnaire. The best–worst scaling method was applied to 13 selected dealcoholised wine attributes, to measure the level of importance of each attribute. To gain more insight on the data, the best-worst scaling scores were further standardised to a probabilistic ratio scale.

“Taste”, “price” and “I have tried it before” were the most important attributes that respondents considered when purchasing dealcoholised wine. Furthermore, “taste” was by far the most important of all the attributes. The attributes of “back label”, “attractive front label” and “brand name” were identified as the least important by the respondents, suggesting that they did not consider the visual elements of a bottle of dealcoholised wine as particularly important in their purchasing decision.

The findings of this pioneering study contribute to the lack of knowledge about dealcoholised wine from a consumer behaviour and marketing perspective, and provide insights and strategies that can be used by stakeholders to enhance the dealcoholised wine market in South Africa.

This study aims to examine which categories of management control systems (MCSs) in startups are most important to external financiers. Furthermore, this paper investigates how equity and debt financiers differ in their perceptions of MCS categories and examines the relevance of MCSs for their investment decisions.

This study collects data through a cross-sectional survey sent to equity and debt financiers actively investing in startups. The results are based on survey responses from 73 financiers.

The results show that financial MCSs are considered most important, followed by strategic MCSs, while human resources MCSs are perceived as only moderately important. This paper finds significant differences in the perceived importance of MCS categories between equity and debt providers, which can be explained by differing risk profiles and monitoring needs. Although debt financiers consider financial and strategic MCSs to be less important for their portfolios’ startups than equity financiers do, debt financiers perceive MCSs as more important for their initial investment decisions.

The study sheds new light on the importance of different MCS categories in startups by analyzing external financiers’ perceptions. Overall, the empirical study provides insights that are particularly valuable for startups seeking external financing for company growth.

Incubators, as providers of advice and resources, suggest fostering the development of early-idea firms. Literature and practice seem to suggest an ever-increasing amount of incubator support. The creation of business relationships is at the heart of any business development, and this paper addresses whether a laissez-faire incubator fosters the creation of business relationships. The purpose of this paper is to explore the creation of business relationships among incubated firms during and after their time in the incubator along with the roles that these relationships play for the incubated firms.

Empirically, the paper is based on retrospective interviews with representatives of all incubated firms in a university incubator. A total of fifteen interviews were conducted with representatives of the incubated firms, the incubator and its owners, complemented by secondary data sources.

The paper points out three antecedents for business relationship creation: the lack of experience and connections; convenience; and trust based on the interactions with others in the incubator. These antecedents are connected to the roles of transforming businesses and of adaptation in the dyadic relationships. The laissez-faire incubator helped through the learning-by-doing among the incubated firms, which made them focus on business relationship creation from early on.

Most incubator research portrays the unilateral transfer of knowledge from the incubator to the incubated firm, with the latter being a service taker rather than a co-producer. The paper adds knowledge about business relationships among firms in incubators and the roles that these business relationships could play for the firms. The focus on an incubator providing limited support is of high practical relevance, given the trend of incubators facilitating more and more services.

Efficient numerical assessment of performance is particularly important in digital material design of porous materials. This study aims to present an up-scaled approach to virtually investigate permeation of fluids through a real porous filter membrane with a heterogeneous micro-structure.

The method of asymptotic homogenization is applied. The structural parameters of the micro-structure are directly obtained from structural equation modeling image analysis of a commercial filter membrane without fitting procedures. The simulation results are compared to permeation experiments of gaseous nitrogen and liquid water.

The authors found that variations in the pressure gradients across the membrane, resulting from the heterogeneity of pore structure, need to be considered. Remarkable agreement between simulations and experiments is observed.

Despite some research in the field of filtration, no studies on filter membranes have been published yet, although they represent a large segment of filtration technology.

This paper aims to answer calls for more research on how contextual factors influence the effectiveness of knowledge reuse.

The findings are based on an in-depth case study conducted in the sales department of a large white goods company in Australia.

Six contextual factors identified include purpose, time pressure, language, accessibility, author and date. A mismatch in purpose between knowledge creation and reuse is most likely to reduce knowledge reuse effectiveness. Time pressures may lead to an increase in errors associated with search question definition as well as knowledge search and selection, while unfamiliar language is likely to lead to misinterpretations of content. Knowledge accessibility issues are of particular concern in time-sensitive situations. Authorship and creation date information may facilitate knowledge reuse by allowing consumers to filter unwanted knowledge.

This study contributes to knowledge management theory by providing an exploration of the ways in which contextual factors influence knowledge and reuse effectiveness, and of the possible relationships between those factors. The paper also provides knowledge management practitioners with tangible guidelines on how to increase the effectiveness of organizational knowledge reuse.

Knowledge reuse using electronic repositories, while increasingly important, requires more thorough analysis. Service modularity has been recently applied in services research but has not been integrated into knowledge reuse studies. The purpose of this paper is to draw on both service modularity and knowledge reuse to develop and validate a framework that categorises forms of packaged knowledge in an electronic repository.

Drawing on knowledge reuse and service modularity research, a model is proposed. The model is empirically tested using a case study research design.

This research highlighted the value of including both context and process as key dimensions when packaging service knowledge for reuse. This study identifies knowledge types present in modular solutions and how they were configured and reconfigured in the knowledge repository. This research identified five ways modularised services were leveraged. In addition to the traditional scale and stretch approaches, already present, but conflated, in the service literature, three other configurations were identified; shrink, separate and segment.

The findings are based on a single empirical case study which may limit the generalisability of the findings. There is a need for additional research to further validate the model in additional contexts.

This study provides managers with empirical examples of how a modular repository was used in practice and outlines five ways of recombining contextual and processual elements to enable service codification and reuse. It has implications for how knowledge is decomposed and recombined in repositories, suggesting an explicit separation of context and process knowledge while developing modular elements within both.

To the best of the author’s knowledge, this is the first study that explicitly uses context and process as dimensions and draws on service modularity to understand types of knowledge reuse in electronic repositories. In doing so, it adds value by developing and validating a model that identifies five types of reuse.

For aiding computer security experts in their study, log files are a crucial piece of information. Especially the time domain is very important for us because in most cases, timestamps are the only linking points between events caused by attackers, faulty systems or simple errors and their corresponding entries in log files. With the idea of storing and analyzing this log information in graph databases, we need a suitable model to store and connect timestamps and their events. This paper aims to find and evaluate different approaches how to store timestamps in graph databases and their individual benefits and drawbacks.

We analyse three different approaches, how timestamp information can be represented and stored in graph databases. For checking the models, we set up four typical questions that are important for log file analysis and tested them for each of the models. During the evaluation, we used the performance and other properties as metrics, how suitable each of the models is for representing the log files’ timestamp information. In the last part, we try to improve one promising looking model.

We come to the conclusion, that the simplest model with the least graph database-specific concepts in use is also the one yielding the simplest and fastest queries.

Limitations to this research are that only one graph database was studied and also improvements to the query engine might change future results.

In the study, we addressed the issue of storing timestamps in graph databases in a meaningful, practical and efficient way. The results can be used as a pattern for similar scenarios and applications.

This paper aims to introduce mathematical models to capture the spreading of epidemics to explain the expansion of mortgage default events in the USA.

The authors use the state of infectiousness and death to represent the subsequent steps of payment elinquency and default, respectively. As the local economic structure influences regional unemployment, which is a strong driver of mortgage default, the authors model interdependencies of regional mortgage default rates through employment conditions and vicinity.

Based on a large sample between 2000 and 2014 of loan-level data, the estimation of key parameters of the model is proposed. The model’s forecast accuracy shows an above-average performance compared to well-known approaches such as linear regression or logit models.

The key findings may be useful in understanding the dynamics of mortgage defaults and its spatial spreading.

Microfiber is one of the major sources of microplastic emission into the environment. In recent times, research on microfiber has gained momentum, and research across different disciplines was performed. However, no complete study was performed from the viewpoint of textiles to analyse the microfiber shedding behaviour by relating the properties textiles. The purpose of this paper is to analyse the microfiber shedding behaviour in textiles.

Articles on the microfiber shedding across different disciplines were collected and analysed systematically to identify the influencing factor. The influence of laundry parameters is found to be majorly discussed section, yet very few research data is found on the effect of yarn and fabric properties on the microfiber shedding.

Most of the articles listed laundry detergent addition, higher temperature, use of softeners, type of washing machines used and amount of liquid used as the major factors influencing the fiber shedding. Concerning the fiber and yarn characteristics, yarn twist, fiber type (staple/filament), method of production, fabric structure and specific density are reported as influencing factors. Some articles highlighted the influence of ageing of textiles on the fiber shedding.

The review identified the research gap in the textile sector and reports that so far, no research performed on microfiber shedding with the textile parameters. The review further urges the importance of research works to be performed in the textile by considering the fabric and yarn properties.