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This paper aims to discuss the development of a defect classification system that can be used to detect and classify powder bed surface defects from captured layer images without the need for specialised computational hardware. The idea is to develop this system by making use of more traditional machine learning (ML) models instead of using computationally intensive deep learning (DL) models.

The approach that is used by this study is to use traditional image processing and classification techniques that can be applied to captured layer images to detect and classify defects without the need for DL algorithms.

The study proved that a defect classification algorithm could be developed by making use of traditional ML models with a high degree of accuracy and the images could be processed at higher speeds than typically reported in literature when making use of DL models.

This paper addresses a need that has been identified for a high-speed defect classification algorithm that can detect and classify defects without the need for specialised hardware that is typically used when making use of DL technologies. This is because when developing closed-loop feedback systems for these additive manufacturing machines, it is important to detect and classify defects without inducing additional delays to the control system.

The pioneers of online wine tastings have set a new standard and introduced an innovative tool that combines various goals: contacting existing and recruiting new customers, entertaining participants and boosting sales. Within the framework of the study, the authors addressed questions such as the reasons for offering online wine tasting, profitability and the basic characteristics and future perspectives of this new interactive online tool.

A mixed-methods research was conducted using a sequential exploratory design to analyse online wine tastings during Covid-19 pandemic. First, 40 in-depth interviews in Germany were conducted and, based on these results, a global online survey was undertaken with 1,423 wineries from more than 40 countries.

The survey results clearly show the effect of Covid-19 on the growing tendency to employ online wine tastings. This tool is about more than just providing entertainment for wine lovers in that it also has a tangible business aspect.

Based on these results, the authors assume that online wine tastings will continue to be offered after the Covid-19 crisis.

This paper offers a situation analysis of the first 10 months of the Covid-19 pandemic in the field of online wine tastings worldwide. The authors conducted a quantitative online survey that built on a qualitative pre-study. Given the fact that no academic paper has been published on the topic, this paper provides first insights on a global scale.

The paper has a twofold purpose: (1) to test the application of means-end theory to providers of hospitality goods and services, and (2) to explore this question in the context of winery tasting rooms when they had a unique opportunity to restructure their hospitality experience due to government restrictions in response to COVID.

A qualitative approach was adopted, and a convenience sample was used to conduct semi-structured laddering interviews. Forty interview transcripts were coded as means-end ladders, which were analyzed using a custom computer program to develop the implication matrix and the hierarchical value map.

This paper demonstrates that means-end is a useful approach to investigate the values and behaviors of the producer, specifically hospitality hosts. It finds that the principal goal of tasting rooms is to generate sales, and offering a compelling guest experience is the characteristic that contributes the most to achieving that goal. The staff and the atmosphere created for the guests are the two factors with the greatest influence on the guest experience.

This is the first paper to use means-end theory to study the hospitality host, or the producer of goods and services in general, and the first to study winery hospitality primarily through the lens of means-end theory. The study also helps fill a gap in research on tasting room sales focused on the winery’s goals.

User-generated social media comments can be a useful source of information for understanding online corporate reputation. However, the manual classification of these comments is challenging due to their high volume and unstructured nature. The purpose of this paper is to develop a classification framework and machine learning model to overcome these limitations.

The authors create a multi-dimensional classification framework for the online corporate reputation that includes six main dimensions synthesized from prior literature: quality, reliability, responsibility, successfulness, pleasantness and innovativeness. To evaluate the classification framework’s performance on real data, the authors retrieve 19,991 social media comments about two Finnish banks and use a convolutional neural network (CNN) to classify automatically the comments based on manually annotated training data.

After parameter optimization, the neural network achieves an accuracy between 52.7 and 65.2 percent on real-world data, which is reasonable given the high number of classes. The findings also indicate that prior work has not captured all the facets of online corporate reputation.

For practical purposes, the authors provide a comprehensive classification framework for online corporate reputation, which companies and organizations operating in various domains can use. Moreover, the authors demonstrate that using a limited amount of training data can yield a satisfactory multiclass classifier when using CNN.

This is the first attempt at automatically classifying online corporate reputation using an online-specific classification framework.

The South African wool industry is integral to the country's agricultural sector, particularly sheep farming and wool production. Small-scale farmers play a vital role in this industry and contribute to employment and food security in rural communities. However, these farmers face numerous challenges, including a lack of funding, poor farming practices and difficulty selling their wool at fair prices. This study aims to address these challenges, the University of Free State launched a wool value chain project for small-scale farmers.

In this project, one of the studies conducted assessed the effectiveness of different detergents suitable for traditional wool scouring methods for small-scale farmers who lack access to sophisticated machinery. The investigation was conducted by scouring 160 wool samples using three different detergents and filtered water as a control. The wool samples were then evaluated for their cleanliness, brightness and fibre properties through a combination of scanning electron microscopy, spectrophotometry and statistical analysis at different scouring times (3, 10, 15 and 20 min, respectively).

The results showed that the combination of scouring time and the type of scouring solution used could significantly impact wool quality. It was found that using a combination of standard detergent or Woolwash as a scouring solution with a scouring time of 10–15 min resulted in the best outcome in terms of fibre property, wool colour and scouring loss.

This study demonstrated that traditional wool scouring methods could be an option for small-scale farmers and anyone who want to learn how to scour wool without expensive machinery to make wool products.

This paper aims to investigate the use of crowdsourcing in the enhancement of an ontology of taxonomic knowledge. The paper proposes a conceptual architecture for the incorporation of crowdsourcing into the creation of ontologies.

The research adopted the design science research approach characterised by cycles of “build” and “evaluate” until a refined artefact was established.

Data from a case of a fruit fly platform demonstrates that online crowds can contribute to ontology enhancement if engaged in a structured manner that feeds into a defined ontology model.

The research contributes an architecture to the crowdsourcing body knowledge. The research also makes a methodological contribution for the development of ontologies using crowdsourcing.

Creating ontologies is a demanding task and most ontologies are not exhaustive on the targeted domain knowledge. The proposed architecture provides a guiding structure for the engagement of online crowds in the creation and enhancement of domain ontologies. The research uses a case of taxonomic knowledge ontology.

Crowdsourcing for creation and enhancement of ontologies by non-experts is novel and presents opportunity to build and refine ontologies for different domains by engaging online crowds. The process of ontology creation is also prone to errors and engaging crowds presents opportunity for corrections and enhancements.

This paper aims to explore the extent to which principles of recovery-oriented practice are evident in the published perspectives and experiences of health professionals and service users on seclusion in adult mental health services.

A systematic review informed by PRISMA guidelines was conducted, drawing from four databases, which were searched in August 2018 and August 2022. Only original empirical studies rated as having “major” relevance were included. Data were extracted from 31 studies and qualitatively synthesised through deductive analysis using recovery principles as themes.

There was limited evidence of perceptions of seclusion being being consistent with recovery principles, with greater evidence of perceptions that directly opposed them. Studies of service user perspectives highlighted this more often than staff perspectives. The findings highlight paradoxical relationships between care and control and conflicting rights and emphasise the need to openly acknowledge the complexity of seclusion and its interface with recovery.

This review was developed in line with international best practice and the protocol was registered. Using a search string with only three components maximised sensitivity during searches and minimised the risk of relevant literature being missed. Limitations include the focus on studies where the full text was published in English.

This review makes a unique contribution, highlighting that, to the best of the authors’ knowledge, no studies to date have explicitly explored the perspectives and experiences of staff and service users on the use of seclusion in the context of recovery-oriented practice. The findings are relevant to clinical practice, policy and future research, including amending procedures and practices to partially reconcile seclusion and recovery where the seclusion is deemed necessary.

The purpose of this paper is to show that third-party quality audits (TPQAs) facilitate performance improvement and give confidence to organisations concerning the process quality of services and products. However, because of inconsistencies and unethical practices often observed in the industry, organisations question the significance of TPQA. A perception exists that its initial purpose as an impartial tool ensuring quality of deliverables is no longer upheld. Hence, the need to determine and explain the influence of the ISO 19011 standard interpretation on the application of the audit guidelines in performing TPQA, to promote consistency in the audit process.

The study employed document analysis of the ISO 19011 standard, followed by semi-structured interviews with certification managers (CBs) to gain insight related to their interpretation and application of the ISO 19011 guidelines.

The CBs interpret the ISO 19011 guidelines differently; hence, their application of the standard to compile their audit documents differ. Adherence to the principles of auditing particularly, integrity and independence were found as the core of the audit process while their disregard reflects failure of the real intent of auditing. The inconsistencies in the audit procedures and documents developed for auditors are ascribed to some CBs’ personal interpretations.

The study explores how the different interpretations of the ISO 19011 standard prevail and are perceived by the CBs and auditors. The findings aim to support standardisation and reduce the variations across and amongst the different CBs and auditors.

This study aims to determine whether it is possible to use information and communication technology (ICT) tools to share tacit knowledge. Few studies have considered this subject, and they have reported both the ineffectiveness and effectiveness of ICT tools for sharing tacit knowledge.

In this study, the participants comprised 217 knowledge workers from New Zealand and researchers who attended a knowledge management conference in the UK. In all, 59% of the sample was men and 41% women. The research model compared the scores of knowledge workers in two categories of ICT, those that allow dialogue and those that do not, in relation to knowledge sharing in organizations. The instrument used a Likert scale with five levels of response.

It was found that not all ICT technologies let tacit knowledge to be shared, but those ICT that facilitate dialogue, for example, text messaging and video conferences. Emails did not facilitate the exchange of tacit knowledge.

It is suggested to replicate the study with different countries to evaluate the role of culture in the communication of tacit knowledge.

An implication for practitioners based on this study is that email should not be the preferred mode for transferring knowledge between an organization and their workers. This mode is adequate for the exchange of explicit knowledge, but it has a limited capacity for transferring tacit knowledge. Thus, organizations may increase the use of audio and video tools to transfer electronically tacit knowledge. Interaction or socialization may facilitate the understanding and internalization of tacit knowledge by workers.

This study contributed to understand the reason for contradictory results from previous research. ICT tools are effective to share tacit knowledge when they facilitate dialogue. Results also support practitioners about how to obtain more effective exchange of tacit knowledge in organizations.

The aim of this study is to explore the contextual influences of packaging design and its cues on respondents' preferences.

To explore the contextuality of packaging cues, a multi-attribute valuation technique, conjoint analysis was used for two types of pharmaceutical products (painkiller and sore throat medicine) across seven countries. Data were collected among respondents (N = 461) from Finland, Ghana, Mongolia, Nigeria, Portuguese, South Africa and the USA.

Similarities and dissimilarities were observed between the product types and countries analysed in terms of the impact of packaging cues. The findings demonstrate the global and local nature of brand cues expressed in retail packaging.

The study implies that some cues may serve global markets, while some cues may need to be localised in order to meet the needs of local markets. Understanding these cues and their influences on consumers' brand preferences and choices at the point-of-purchases may enable companies to enter new markets, help them create sustainable and credible global brands.

The study contributes to the existing retail packaging literature and pharmaceutical branding literature by providing empirical evidence of the multidimensional aspects of sensory packaging cues. Second, it contributes by showing the contextual nature of retail packaging and its associated cues for OTC pharmaceuticals.