Search results

Semantic retrieval and discovery of datasets published as open data remains a challenging task. The datasets inherently originate in the globally distributed web jungle, lacking the luxury of centralized database administration, database schemes, shared attributes, vocabulary, structure and semantics. The existing dataset catalogs provide basic search functionality relying on keyword search in brief, incomplete or misleading textual metadata attached to the datasets. The search results are thus often insufficient. However, there exist many ways of improving the dataset discovery by employing content-based retrieval, machine learning tools, third-party (external) knowledge bases, countless feature extraction methods and description models and so forth.

In this paper, the authors propose a modular framework for rapid experimentation with methods for similarity-based dataset discovery. The framework consists of an extensible catalog of components prepared to form custom pipelines for dataset representation and discovery.

The study proposes several proof-of-concept pipelines including experimental evaluation, which showcase the usage of the framework.

To the best of authors’ knowledge, there is no similar formal framework for experimentation with various similarity methods in the context of dataset discovery. The framework has the ambition to establish a platform for reproducible and comparable research in the area of dataset discovery. The prototype implementation of the framework is available on GitHub.

There is considerable efforts by government and various agencies towards the development of information and communication technology (ICT) skills in the developing nations. The efforts include the procurement and deployment of ICT devices and curriculum development; but, these are not yielding the ultimate results as the digital divide continue to widen regionally. This calls for innovation in teaching and learning in ICT. The study assessed the effectiveness of infusion approach to teaching and learning in the tertiary education level. This approach utilises a framework and student-centred approach for which its effectiveness as an instructional delivery was tested for efficacy.

The study adopted quasi-experimental design with pretest and posttest comparison to assess the treatment given. Performance was measured quantitatively through online assessment.

The results showed a phenomenal effectiveness of infusion approach to teaching and learning of general ICT skills as the participants achieved very high performance at the end of the instructional period.

This research is based on general ICT skills and covers a regional cross-section of Nigeria.

Adoption of infusion approach to teaching and learning in ICT would close the prevailing knowledge gaps in the development of ICT skills.

This infusion approach would close the prevailing digital divide, thereby enhancing societal well-being.

This is a novel approach to the development of ICT skills, which would enhance teaching and learning in ICT.

Expanding on the real-world financial market framework and considering the current market turmoil, with cryptocurrencies (where contracts for difference (CFDs) are extremely common) (Hasso et al., 2019) displaying unprecedented volatility, the authors aim to test in an online laboratory setting whether displaying a risk warning message is truly effective in reducing the level of risk taken and whether the placement of this method makes a difference.

To explore the impact of risk disclosure framing on risk-taking behavior, the authors conducted an online pair-wise lottery choice experiment. In addition to manipulating risk awareness through the presence or absence of risk warning messages of varying intensity, the authors also considered dynamic inconsistency, cognitive ability and questionnaire-based financial risk tolerance (FRT) scores. The authors aimed to identify potential relationships between these variables and experimentally elicited risk aversion. The authors' study offers valuable insights into the complex nature of risky decision-making and sheds light on the importance of considering dynamic inconsistency in addition to risk awareness and aversion.

The authors' results provide statistical evidence for the efficacy of informative and very salient messages in mitigating risky decision, hinting at several policy implications. The authors also provide some statistical evidence in support of the relationship between cognitive abilities and risk preferences. The authors detect that individual with low cognitive abilities scores display great risk aversion.

This study investigates the impact of risk warning messages on investment decisions in an online laboratory setting – a unique approach. However, the authors go beyond this and also examine the potential influence of dynamic inconsistency on decision-making, adding further value to the literature on this topic. To ensure a comprehensive understanding of the participants, the authors collect data on cognitive ability and FRT using questionnaires. This study provides a simple and cost-effective framework that can be easily replicated in future research – a valuable contribution to the field.

The purpose of this paper is to advance the understanding of sound branding by developing a new conceptual framework and providing an overview of the research literature on non-musical sound.

Using four mutually exclusive and collectively exhaustive types of non-musical sound, the paper assesses and synthesizes 99 significant studies across various scholarly fields.

The overview reveals two areas in which more research may be warranted, that is, non-musical atmospherics and non-musical sonic logos. Moreover, future sound-branding research should examine in further detail the potentials of developed versus annexed object sounds, and mediated versus unmediated brand sounds.

The paper provides important insights into critical issues that suggest directions for further research on non-musical sound branding.

The paper identifies an unexploited terrain of possibilities for the use of sound in marketing and branding.

The paper identifies a subfield within sound-branding research that has received little attention despite its inevitability and potential significance.

This research seized the COVID-19 pandemic-induced economic recession as a strategic response background to answer whether serious games (SGs) can be effectively applied to facilitate the strategic decision-making process.

This paper develops a conceptual model and hypotheses based on the strategic formulation and SGs literature. Virtual-gamified workshops treat four companies in a quasi-experimental framework applying an action research design approach. The data were analysed triangularly from the observations, the focus group interviews and the surveys.

A SG facilitates conveying conceptual recession management knowledge and structures the decision-making process. It incentivises creativity and motivation. Meanwhile, it is a tool to mitigate human errors due to cognitive biases. More importantly, it offers a new means to improve strategic decision-making adapted to different cases. The variety of game elements expands possibilities for different needs.

This paper creatively bridges the gap between strategic decision facilitation and serious gaming in a crisis. It contributes a conceptual model and provides practical insights into SGs mechanics for companies.

Vendors’ social cues – physical or behavioural hints – have an impact on the professional buyer. However, little is known about that impact. The purpose of this paper is to place knowledge about the impact of social cues that other disciplines acquired in the context of business-to-business (B2B) marketing to contribute constructively to the research agenda.

By integrating findings on the processing of social cues and the behavioural response from the disciplines of neuroscience, biology and psychology (specifically the behavioural inhibition system [BIS]/behavioural activation system [BAS]-theory), this paper aims to provide an interdisciplinary perspective on the automatic evaluation of vendors by professional buyers.

Social cues are likely to be of substantial value in the (first) encounter between buyer and seller. Positively evaluated social cues create an approach-motivated behavioural intention, whereas negatively evaluated ones create avoidance. This process is probably predominantly mediated by trust and moderated by personality and contextual factors.

This paper stimulates research about the impact of social cues in a B2B context. While such knowledge would add practical value, this paper also explores possibilities for managers to use neuroscientific techniques to assess and train sales agents.

The impact of social cues is hardly covered in the B2B marketing literature, but they have an important impact on B2B decision-making. The conceptual framework combines the BIS/BAS theory (approach/avoidance) with the SOR-model (stimulus-organism-response), which is unique to the B2B marketing field.

This research investigates the influence of package sustainability on food satiation perception.

Research hypotheses were tested through three experimental studies.

Three experimental studies show that food quality is associated to higher perceived food satiation (preliminary study); that a food packaged in a sustainable package is perceived as more satiating than the same food packaged in a non-sustainable package and that this effect is explained by the higher perceived quality triggered by the presence of a sustainable package (Study 1); and that the positive relationship between higher perceived quality and perceived satiation is verified only for healthy but not for unhealthy foods (Study 2).

The present research advances knowledge on the highly debated issue of sustainable food packages. By proposing that consumers might perceive a healthy food presented in a sustainable package as more satiating, the authors show another extrinsic packaging cue modifying consumers' perception, namely package sustainability.

The purpose of this paper is to review the food supply chain management (FSCM) in terms of systems and implementations so that observations and lessons from this research could be useful for academia and industrial practitioners in the future.

A systematical and hierarchical framework is proposed in this paper to review the literature. Categorizations and classifications are identified to organize this paper.

This paper reviews total 192 articles related to the data-driven systems for FSCM. Currently, there is a dramatic increase of research papers related to this topic. Looking at the general interests on FSCM, research on this topic can be expected to increase in the future.

This paper only selected limited number of papers which are published in leading journals or with high citations. For simplicity without generality, key findings and observations are significant from this research.

Some ideas from this paper could be expanded into other possible domains so that involved parties are able to be inspired for enriching the FSCM. Future implementations are useful for practitioners to conduct IT-based solutions for FSCM.

As the increasing of digital devices in FSCM, large number of data will be used for decision-makings. Data-driven systems for FSCM will be the future for a more sustainable food supply chain.

This is the first attempt to provide a comprehensive review on FSCM from the view of data-driven IT systems.