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Children are familiar with retail outlets (especially supermarkets) and the reality of shopping from an increasingly early age. In turn, retailers are actively engaging this young market, targeting them through various promotional strategies. One popular strategy adopted by grocery retailers is giveaway collectible set items. The purpose of this paper is to question the ethicality of such campaigns, within the framework of vulnerable consumers by examining children’s opinions of the campaigns and the supermarkets who run them, and the drivers of children’s involvement in the campaigns.

Qualitative focus groups were employed with 67 children aged five to ten years. Focus groups were made up of children in similar age groups to cluster responses by age and allow for comparisons. Thematic analysis was undertaken and responses were coded into themes.

Children were initially driven to collect through promotional advertising or because a third party offered them a collectible. The drivers for subsequent collecting differed between age groups, with younger children more focussed on themes around play and older children (seven and above) collecting through habit, because it was a craze amongst their peers and therefore the collections became items of social currency. Children’s perceptions of the supermarkets motivations also differed by age. Younger children thought supermarkets gave the collectibles away as “gifts” for altruistic reasons. The older children articulated a clear understanding of the economic motives of the organisation including: to attract children to their stores, to encourage pester power and to increase revenue by encouraging customers to buy more. The older children questioned the ethics of the collectible campaigns, referring to them as scams.

The findings extend the important discussion on the nature of children’s vulnerability to advertising by showing that the children’s vulnerability stretches beyond their ability to understand advertising intent. Despite older children in the present study being cognisant of retailers’ intentions they were still vulnerable to the scheme; the embeddedness of the scheme in the social lives of the children meant they lacked agency to opt out of it. Further, the finding that the scheme transcended boundaries in the children’s lives, for instance, being associated with social currency at school, highlights the potential negative impact such schemes can have on the well-being of children.

Until now, research has investigated the motivations that children have to collect, but previous studies have focussed on collections which have been determined by the children. This paper presents the opinions and perceptions of the children who are directly targeted by commercial organisations to collect and raises concerns around the ethicality of such schemes.

A technological community framework can be used to explain and manage new medical technologies. It describes emergence, commercialization, and standardization of an innovation or technology within the context of its whole network (or community) of stakeholders. This framework is used to illustrate the emergence, commercialization, and standardization of a relatively new medical technology – umbilical cord blood (UCB) banking. Umbilical cord blood may prove to be a source of stem cells for bone marrow transplant that is safer, more accessible, and less expensive than current sources of stem cells. The technological community framework can signal potential problems as the technology emerges, and help healthcare delivery systems and providers to effectively assess and manage the technology. The framework can also be applied to other medical technologies and innovations.

Present for more than 20 years, 3D food printing (3DFP) technology has not experienced the same widespread adoption as its non-food counterparts. It is believed that relevant business models are crucial for its expansion. The purpose of this study is to identify the dominant prototypical business models and patterns in the 3DFP industry. The knowledge gained could be used to provide directions for business model innovation in this industry.

The authors established a business model framework and used it to analyse the identified 3DFP manufacturers. The authors qualitatively identified the market’s prototypical business models and used agglomerative hierarchical clustering to extract further patterns.

All identified 3DFP businesses use the prototypical business model of selling ownership of physical assets, with some variations. Low-cost 3D food printers for private usage and dedicated 3D food printers for small-scale food producers are the two primary patterns identified. Furthermore, several benefits of 3DFP technology are not being used, and the identified manufacturers are barely present in high-revenue markets, which prevents them from driving technological innovation forward.

The extracted patterns can be used by the companies within the 3DFP industry and even in other additive manufacturing segments to reflect upon, refine or renew their business model. Some directions for business model innovation in this industry are provided.

To the best of the authors’ knowledge, this is the first quantitative study to give an account of the current 3DFP business models and their possible evolution. This study also contributes to the business model patterns methodological development.

At one end, family farming is seen as important for incentivizing local ­development. At another end, the Brazilian National School Feeding Program (PNAE) is a social assistance policy that provides food and nutrition for students enrolled in public schools. In 2015, the program fed 41.5 million students across the country. In 2009, these two worlds – family farming and school feeding – were connected through a public policy implemented by law. This law defines that 30% of the financial resources for the acquisition of school feeding, transferred by the federal government to states and municipalities, must be spent on items produced by family farming. However, even considering the legal requirement and many of the changes it has brought, many municipalities still do not meet this minimum requirement. In 2015, more than half of the 5,570 Brazilian municipalities, about 54%, did not reach the 30% minimum; that is, over 3,000 municipalities failed to meet that legal threshold. This context raises some questions: Why is the law not effective? What are the social structures that hinder the implementation of this public policy as it was conceived? One of the theoretical frameworks that could sustain such questioning is Structuration Theory (ST; Giddens, 2003). It brings the concept of structure duality, stating that there is no prevalence between social structure and human action, but rather a reciprocity. In this theory, the structure can be distinguished into three dimensions (signification, domination, and legitimation) and the interaction of these dimensions can lead to either transformation or continuity. Using the lenses of ST, our aim is to identify, analyze, and understand the reverberations of this public policy on social practices and how these reverberations could explain this state of things. For this, we conducted a preliminary field research, based on interviews with key agents involved in the school feeding program in a municipality in the Midwest of Brazil. The preliminary results revealed that the change induced by the law reflected on those agents, altering social practices. New procedures were adopted that transformed social practices pertaining to the dimension of signification. Nevertheless, challenges related to logistics (transport and storage), trust, training, and bureaucracy are still hindering the effectiveness of the intended public policy. As a limitation, we were not under conditions to grasp the changes while they occurred because our point of attention is the scenario after the enforcement of the relevant Law. Beyond that, our study uses ST to deal with the resistance of social structures to change even in a scenario of mandatory law enforcement.

The purpose of this study is to examine the interplay between the curatorial practices of consumers as collectors and the materiality of the collected objects. In particular, this study explores how the material substances of collected objects shapes curatorial practices and how the ongoing use of the collected objects challenges curatorial practices.

Taking advantage of the publicization of once-private collections on social media, we collect 111 YouTube videos created by plastic shoe aficionados. Drawing from visual anthropology and theorizations of materiality, we analyze consumer interactions with the objects they collect.

This study’s findings elucidate consumers’ interactions with the material substances of the objects they collect and demonstrate how these interactions shape the ways in which consumers curate their collections, including how they wear, care for, catalog, and display the collected objects.

Our findings have implications for theorization on consumer collections, consumer identity, and consumer participation in brand communities and are relevant for consumer researchers who study the interactions and relationships between consumers and consumption objects.

This study is the first to re-examine consumers as collectors to extend and update consumer research on the curatorial practices of physical, wearable collectibles. This study sets the foundations for further research to advance our understanding of consumers as collectors as well as to illuminate other theories and aspects of consumer research that consider consumer–object interactions.

This work provides validation of a model for successful commercialisation of innovative products for residential construction. The development of the model is motivated by the persistence of failed commercialisations due to inadequate business plans. This paper aims to discuss these issues.

The current paper validates the model with data from case studies of 15 manufacturers of recently commercialised innovative residential‐construction products. The research team interpreted the interview data and correlated this data with the model. The correlations illuminate critical steps within the commercialisation process; perceptions of the less important steps; decisions and resulting actions that support commercialisation, accelerators and barriers of commercialisation; and prototypical commercialisation processes.

A total of 15 case studies of successfully commercialised products provide empirical support for the commercialisation model that was developed from literature review and previous surveys.

The research is based on content analysis of in‐depth interviews from 15 case studies, a methodology that yields a small number of general conclusions from a large data set. More case studies are needed to expand the implications presented in this work. Conclusions drawn from the data have important implications for establishing a normative description of the process of transforming an invention into a commercialised innovation in residential construction.

The commercialisation findings presented here could benefit innovators and adopters of construction products. The research indicates best practices, key accelerators and key barriers to the commercialisation of products in the residential‐construction industry.

This work presents the second phase of development of a domain‐specific commercialisation model for innovative residential‐construction products. This commercialisation model serves as a roadmap to entrepreneurs, which avoids the most common pitfalls along the path of commercialisation.

The purpose of this paper is to demonstrate how Internet of Things (IoT) technology can enable highly distributed elevator equipment servicing by using remote-monitoring technology to facilitate a shift from traditional corrective maintenance (CM) and time-based maintenance (TBM) to more predictive, condition-based maintenance (CBM) in order to achieve various benefits.

Literature review indicates that CBM has advantages over conventional CM and TBM from a theoretical perspective, but it depends on continuous monitoring enhancement via advanced IoT technology. An in-depth case study was carried out to provide practical evidence that IoT enables elevator firms to achieve CBM.

From a theoretical perspective, the CBM of elevators makes business sense. The challenges lie in data collection, data analysis and decision making in real-world business contexts. The main findings of this study suggest that CBM can be commercialized via IoT in the case of elevators and would improve the safety and reliability of equipment. It would, thus, make sense from technological, process and economic perspectives.

Our longitudinal real-world case study demonstrates a practical way of making the CBM of elevators widespread. Integrating IoT and other advanced technology would improve the safety and reliability of elevator equipment, prolong its useful life, minimize inconvenience and business interruptions due to equipment downtime and reduce or eliminate major repairs, thus greatly reducing maintenance costs.

The main contribution of this paper lies in the empirical demonstration of the benefits and challenges of CBM via IoT relative to conventional CM and TBM in the case of elevators. The authors believe that this study is timely and will be valuable to firms working on similar research or commercialization strategies.

The purpose of this paper was to develop a framework linking the concept of nostalgia and experiential consumption, articulating the transformation of a mundane activity to a special experience, using the context of the small business and afternoon tea.

The methodology is based on a grounded theory approach and draws on multiple methods of data collection including participant observation, in-depth interviews with afternoon tea room managers, researcher introspection and consumer interviews.

By employing nostalgia cues through product, ritual and aesthetics, an idealised home can be constructed emphasising belonging and sharing. The small business owner can be effective in transforming an ordinary activity to an experiential event. Contemporary tea rooms do not replicate tradition; they use it as a cultural resource to construct something novel.

This paper demonstrates how the careful configuration of the retail space can be a key success factor, not only for marketers in large flagship brand stores, but also for smaller, independent and local businesses. The essential interplay between product, ritual and aesthetics creates positive moods of belonging and sharing and may increase satisfaction.

Understanding the emotional value of everyday experiences is a point of differentiation in a crowded marketplace and may directly influence consumer loyalty. Staging experiences is a key competitive strategy.

This paper is one of the few to empirically assess links between the nostalgia paradigm and experiential consumption. Existing research has emphasised large retail spaces; in contrast, the authors demonstrate how consumer experiences can be staged in smaller, independent and local businesses.

The purposes of this paper are (1) to explore the overall development of AI technologies and applications that have been demonstrated to be fundamentally important in the healthcare industry, and their related commercialized products and (2) to identify technologies with promise as the basis of useful applications and profitable products in the AI-healthcare domain.

This study adopts a technology-driven technology roadmap approach, combined with natural language processing (NLP)-based patents analysis, to identify promising and potentially profitable existing AI technologies and products in the domain of AI healthcare.

Robotics technology exhibits huge potential in surgical and diagnostics applications. Intuitive Surgical Inc., manufacturer of the Da Vinci robotic system and Ion robotic lung-biopsy system, dominates the robotics-assisted surgical and diagnostic fields. Diagnostics and medical imaging are particularly active fields for the application of AI, not only for analysis of CT and MRI scans, but also for image archiving and communications.

This study is a pioneering attempt to clarify the interrelationships of particular promising technologies for application and related products in the AI-healthcare domain. Its findings provide critical information about the patent activities of key incumbent actors, and thus offer important insights into recent and current technological and product developments in the emergent AI-healthcare sector.

This study aims to determine the contributing factors to technical knowledge valuation at the related quadruple levels of commercialisation, including the idea, benchtop technical knowledge, prototype technical knowledge and commercialised technical knowledge, and then classify the factors by the valuation objectives.

The study method is descriptive-causal, and documentation tools of published scientific research articles in authentic local and international journals were used to extract the contributing factors to technical knowledge valuation. Moreover, the Likert spectrum-based questionnaire is used to determine the weight of each determined component. On the other hand, hierarchical analysis is used based on the extracted results from the distributed classification questionnaire among scholars to determine the allocable weight of each component.

The results indicate that at the idea step, the highest ranks among the contributing factors to technical knowledge valuation are for the indicators of innovation rate enhancement, novelty, creation of new products, profitability growth and dependence decline. In the benchtop technical knowledge step, the indicators of profitability growth, product quality enhancement, novelty, production risk drop, innovation rate enhancement, production costs drop, product price competitiveness and independence from rare machinery have the highest impact coefficients on valuation. Moreover, the prioritisation of factors in prototype technical knowledge shows that the indicators of productive risk decline, infrastructure, decrease in product delivery time, productivity growth and profitability growth are the most critical factors in technical knowledge valuation. Finally, profitability growth factors, production cost drop, productive risk drop, creating a new product, product price competitiveness and dependence decline determine the most valuable technical knowledge in the commercialisation phase.

The most salient innovation of the study involves the development levels of technical knowledge in the commercialisation cycle for determining the contributing factors to technical knowledge valuation and using multivariate decision-making methods to classify the so-called factors. The major limitation can be the context of the study because the paper was carried out by Iranian assessors and specialists using the experiences, opinions and approaches of opinion leaders based on the dominant social, cultural and accounting background of a developing country, not a developed one.

This paper is applicable because it elucidates the technical knowledge valuation factors for managers and owners of technological and knowledge-based companies to facilitate value determination and register the technical knowledge of innovative products in financial statements for the logical presentation of available intangible assets in the economic unit. Besides, in the high-tech area, collecting information from the contributing factors to technical knowledge valuation provides an opportunity to support intellectual property rights and facilitate transaction processes. Finally, in legal areas, in cases of breaching intellectual property rights relative to technical knowledge, the determination of technical knowledge value provides a solid basis for estimating the damage rate.