Purpose: This paper aims to summarize the results of an empirical project to understand the perceptions of consumers of the future high end products in the USA. This project was a precursor of a larger global project on the topic. Design/methodology/approach: The approach utilizes the consumer insights-driven process, rule-developing experimentation (RDE), introduced by the senior authors and developed in cooperation with Wharton School of Business (University of Pennsylvania). The empirical part was conducted with qualified US consumers (middle- and upper-middle class respondents). Based on a series of in-depth qualitative interviews with global leaders of luxury and premium companies, star designers and thought leaders, five dimensions of high end offering were identified, with each dimension having a unique set of four factors (elements). The second part included a quantitative survey based on RDE (modified conjoint analysis) conducted in the USA with 373 qualified middle- and upper-middle class respondents to discover the driving forces behind their perceptions of high end. Findings: There are four distinct consumer mindsets towards future high end products. The segmentation is based on a disciplined experimentation afforded by RDE and produces a more targeted understanding of the consumer mind. Practical implications: The paper provides insights of what might drive the consumer perception of high end products in the near future. The pattern-based consumer mind-set segmentation creates actionable directions for corporations in answering today's big question "How can brands migrate from being cost-driven commodities to higher margins and profits?" The answer is in the high end. Originality/value: The approach offered here could help designers and brand managers to efficiently create better products that consumers like and perceive as high end. This will result in higher margins and help marketers to differentiate their respective products from the competition.
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This paper describes a study into consumers' reasons for buying socially responsible (SR) products, such as Fair Trade products and organic meat. As opposed to other studies, we use a qualitative approach based on 25 in-depth interviews and include several different products in the research. This leads to several new results, such as: (1) buying SR products is perceived as an imperfect moral duty; (2) low quality of SR products is a dissatisfier, but high quality not a satisfier; (3) the attitude towards SR products is related to the reputation of charitable funds; (4) the demand for SR products is negatively related to the frequency of purchasing SR products; (5) reflection on SR products raises the demand for SR products; (6) consumers that have witnessed the social problems that SR products aim to alleviate purchase more SR products. Finally, we find that the demand for different SR products is correlated: if a consumer buys one SR product, it is more likely that (s)he purchases other SR products as well.
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Our current take-make-dispose economic model faces a vital challenge as it extracts resources from the natural environment at faster rates than that the natural environment can replenish. A circular economy where businesses lower their negative impact on the natural environment by transitioning towards recycling business models (RBMs), one of the four principles of circularity, is suggested as a promising solution. For a RBM to become viable, collaboration among several stakeholders and across several industries is required. In addition, the RBM should be scalable to make a positive impact. Hence, developing RBMs is complex as organizations need to consider multiple principles imposed by the recycling, collaborative, and scalability dimensions of these business models (BMs). In addition, these principles often remain general and not actionable to the practitioners. Therefore, in this study, we researched the practical guidelines for viable RBMs that are also collaborative and scalable. The empirical setting is the reuse of textile fibers to develop biocomposite products. We studied three cases using a research-through-design approach. We contribute to the literature on RBMs by showing the six minimum practical guidelines for recyclability, collaboration, and scalability. We draw implications for within sector collaborations and advance the thought that lease constructs challenge the scalability of RBM.
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Introduction: Few studies have examined the sales of stolen account credentials on darkweb markets. In this study, we tested how advertisement characteristics affect the popularity of illicit online advertisements offering account credentials. Unlike previous criminological research, we take a novel approach by assessing the applicability of knowledge on regular consumer behaviours instead of theories explaining offender behaviour.Methods: We scraped 1,565 unique advertisements offering credentials on a darkweb market. We used this panel data set to predict the simultaneous effects of the asking price, endorsement cues and title elements on advertisement popularity by estimating several hybrid panel data models.Results: Most of our findings disconfirm our hypotheses. Asking price did not affect advertisement popularity. Endorsement cues, including vendor reputation and cumulative sales and views, had mixed and negative relationships, respectively, with advertisement popularity.Discussion: Our results might suggest that account credentials are not simply regular products, but high-risk commodities that, paradoxically, become less attractive as they gain popularity. This study highlights the necessity of a deeper understanding of illicit online market dynamics to improve theories on illicit consumer behaviours and assist cybersecurity experts in disrupting criminal business models more effectively. We propose several avenues for future experimental research to gain further insights into these illicit processes.
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Interview over de innovatieve holle vezel nanofiltratiemembranen vor zuivering rioolwater. Artikel is met toestemming van de uitgever overgenomen, gepubliceerd op H2O online op 24 juli 2019
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Assistive Technology (AT) is any technology that supports people with functional difficulties to perform their daily activities with less difficulty and/or obstruction, thus contributing to a more fulfilling life. This refers to people of all ages and to all kinds of functional limitations, either permanent or temporary. Assistive products can be traditional physical products, such as wheelchairs, eyeglasses, hearing aids, or prostheses, but they can also be special input devices, care robots, computers with accessible software, apps for smartphones, home automation solutions, virtual realities, etc. It is essential to understand that AT involves more than just familiar products, and that it also includes knowledge about the personalized selection of appropriate solutions, provisions, and services, as well as the training of all parties involved, the measurement of outcomes and impacts, awareness of ethical issues, etc.
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How do we increase biodiversity in the Netherlands? By working together! What can food forests and restaurants mean for each other? This report focuses on the question: “What is the potential of collaborations between food forests and restaurants in the Netherlands?”Interviews revealed that successful partnerships are based on direct supplier relationships, internal motivation and niche products that create a unique selling point.
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