Search results

The aim of this study was to empirically examine how much traditional attributes and green attributes characterize products within design-oriented firms. Further, we explored how these attributes relate to the perceived level of innovation of the firms.

An exploratory research was carried out in 86 Italian manufacturing companies that are members of the Industrial Design Association. Using the questionnaire method, the entrepreneurs’ perceptions have been analyzed. Data have been treated with hierarchical cluster analysis.

The analysis shows that environmental sustainability is the least important attribute of a design product and four clusters of highly design-oriented firms differ by design-product attributes. Further, the least green firms are also the least innovative in terms of incremental and general innovation.

The small size of the sample and the provenance of firms from a single country imply limited generalizability, and further research on the topic is recommended.

Design-driven innovation based on traditional design attributes provides many competitive advantages to firms. However, given the growing concern about environmental challenges, investing in green attributes in design products allows for remaining competitive and more effective in innovation.

This study, for the first time, reveals the heterogeneity among design-oriented firms, particularly regarding the presence and assortment of traditional design attributes, as well as the incorporation of environmentally friendly attributes in their products. Moreover, the study uncovers the relationship between varying levels of green attributes in the offerings and the perception of the firm’s innovativeness.

The insurance industry has been slow to adopt digital technologies due to high barriers to entry, product complexity, capital reserves, solvency requirements, and regulatory constraints. This chapter focuses on how insurtech is disrupting the insurance industry, resulting in a transformation from a traditional structure to a dynamic user-centric ecosystem. Next, it highlights the insurtech ecosystem by providing an in-depth analysis of the new paradigm on how insurtech is transitioning from the linear value chain to a more dynamic and interconnected value network. Finally, this chapter defines a perspective of insurtech's impact by identifying three waves of transformation within the insurance industry and understanding the evolution and chronology of insurtech's influence. Thus, this chapter provides insights into the opportunities and challenges of this technological breakthrough, offering a comprehensive view of insurtech's transformative journey within the insurance landscape.

Local food impacts tourist satisfaction and drives the choice of a tourist destination. However, it is not clear which attributes of local food products drive tourists’ preferences. More specifically, little is known about potential segments in the tourist market. Acknowledging consumers’ divergent inclinations, we explore tourist preferences toward local food attributes through a market segmentation approach.

This study uses the Best-Worst Scaling method to examine the preferences of 311 tourists for attributes of local food products that are known to affect their choices. We employ a Latent Class Analysis to identify market segments with distinct preferences.

Results indicate that tourists prioritize taste, quality, authenticity, healthiness, connection to local culture and tradition and environmental friendliness over price, appearance, enhancement of local economy, availability and packaging. We further identify three segments: Sensory Seekers, Cultural Experiencers, and Price Conscious. The largest segment, Sensory Seekers, is driven by taste and quality attributes, while Cultural Experiencers prioritize connection to local culture and authenticity. The Price Conscious segment places a greater emphasis on price than the other segments. Cultural Experiencers demonstrate the highest willingness to pay for local food products.

The positioning of local products should target Cultural Experiencers. Agri-firms and state agencies promoting a tourist destination internationally can also use the connection to local culture and authenticity in their marketing campaigns.

Our research contributes to food marketing literature by showing which local food attributes drive tourist preferences. Moreover, we uncover unobservable heterogeneous preferences among tourists.

Trade-offs that involve secular values of money and sacred human values are often seen as taboo. This paper aims to examine how consumers avoid making taboo trade-offs with anthropomorphized products, by choosing options that ensure the well-being of the humanized products, even at a financial cost to themselves.

The authors conducted five experiments, across different marketplace contexts (i.e. repairing, buying and selling), to test the broad generalizability of the extent to which consumers are willing to incur a financial cost due to concern for the well-being of anthropomorphized products.

The results reveal that consumers are willing to accept financially inferior options to protect the humanness endowed upon anthropomorphized products. The effect is mediated by consumers’ concern for the treatment of the anthropomorphized product. The effect is moderated by consumers’ trait empathy level, such that those low in empathy are willing to sacrifice human value for the sake of greater financial gain.

Future research could examine, in the context of anthropomorphized products, if there are types of human values that are less inviolable, leading consumers to be more willing to trade them off for monetary gains.

The findings have direct implications for second-hand markets. For potential buyers of anthropomorphized products, they should signal concern for the product; for sellers, anthropomorphizing their products can reduce haggling behavior. From a sustainability perspective, consumers may be more motivated to repair or recycle their products if it is framed as “infusing new life” into their products.

This work highlights a novel effect of anthropomorphism: when marketplace decisions are involved, anthropomorphizing a product can introduce a tension between secular monetary values and sacred human values. To the best of the authors’ knowledge, this work is the first to show that consumers are willing to incur a monetary loss to protect the humanness of anthropomorphized product, driven by their concern for the proper treatment of such humanized products.

Since previous literature provides fragmented and conflicting results about the use of digital data for product innovation, the article aims to comprehensively explore and shed light on how agri-food firms utilise external and internal digital data sources when dealing with different product innovations, such as incremental, architecture and radical innovation.

This paper adopts an exploratory multiple-case study and a theory-building process, focussing on the agri-food industry. We collected primary and secondary data from eight manufacturing companies.

The findings of this research show an empirical framework of six agri-food firms’ digital data utilisation behaviours: the supervisor, the passive supervisor, the developer, the passive developer, the pathfinder and the conjunction behaviour. These digital data utilisation behaviours vary according to a combination of data sources, such as internal data related to inside phenomenon measures (e.g. data generated by sensors installed in the production plan) or external data (e.g., market trends, overall sector sales), and innovation purposes.

This article offers guiding principles that assist agri-food companies when utilising internal and external digital data sources for specific product innovation outcomes such as incremental, architectural and radical innovation.

The significance of external and internal data sources in stimulating product innovation has garnered substantial attention within academic discussions, highlighting the critical importance of analysing digital data for driving such innovation. Nonetheless, the predominant approach is to study a single innovation outcome through the lens of digital technology. In contrast, our study stands out by adopting a fundamental perspective on data sources, enabling a more nuanced explanation of the overall product innovation outcomes within the agri-food sector.

The Internet has changed consumer decision-making and influenced business behaviour. User-generated product information is abundant and readily available. This paper argues that user-generated content can be efficiently utilised for business intelligence using data science and develops an approach to demonstrate the methods and benefits of the different techniques.

Using Python Selenium, Beautiful Soup and various text mining approaches in R to access, retrieve and analyse user-generated content, we argue that (1) companies can extract information about the product attributes that matter most to consumers and (2) user-generated reviews enable the use of text mining results in combination with other demographic and statistical information (e.g. ratings) as an efficient input for competitive analysis.

The paper shows that combining different types of data (textual and numerical data) and applying and combining different methods can provide organisations with important business information and improve business performance.

The paper shows that combining different types of data (textual and numerical data) and applying and combining different methods can provide organisations with important business information and improve business performance.

The study makes several contributions to the marketing and management literature, mainly by illustrating the methodological advantages of text mining and accompanying statistical analysis, the different types of distilled information and their use in decision-making.

Nowadays, product and service design play a crucial role in people’s daily life and marketing settings; however, both of the product and service design process have always been affected by various factors, including the growth of technology, economic tensions and endemic and pandemic health challenges. Undoubtedly, the importance of service and product design is increasing in the near future, and these changes are also associated with customers' experience. In this regard, some factors have a prominent place such as customer preferences, marketing improvement, technology push-marketing pull and different aspects of sustainability. Since the development of product–service systems (PSSs) should be based on the requirements and needs of users on the one hand, and environmental and technological considerations on the other hand, the role of product and service designers in the context of presenting creative and innovative ideas is important. The mentioned features are known as the main pillars of industrial design. Industrial design as an integrated science of art and technology concerns customers' experience, user experience (UX) design, innovative design, customer-oriented service development and so on. Industrial design make value not only for customers but also for producers. Besides, some new designscape may develop by industrial design considerations. In this chapter, authors explain the industrial design scope towards customer experience orientation in service design, enhance the experiencescape, design thinking (DT), PSS approaches and sustainability.

This study aims to explore the relationship between personal innovativeness, perceived symbolic value and green purchase intentions within the context of sustainable consumption. Specifically, it investigates how personal innovativeness influences both green purchase intentions and perceived symbolic value and examines whether perceived symbolic value mediates the relationship between personal innovativeness and green purchase intentions.

Using a survey-based quantitative approach, data were collected from a sample of Indonesian consumers using online panels via SurveyMonkey®. The study used Rogers’ diffusion theory to conceptualize personal innovativeness and drew on theories of symbolic consumption to frame perceived symbolic value. Partial least square structural equation modeling was used to test the proposed hypotheses and explore the relationships among the constructs.

The results indicate that personal innovativeness positively affects green purchase intentions and enhances the perceived symbolic value of green products. Moreover, perceived symbolic value influences green purchase intentions and partially mediates the relationship between personal innovativeness and green purchase intentions. These findings underscore the critical role of symbolic value in the adoption of green products and highlight personal innovativeness as a key driver in sustainable consumer behavior.

This research contributes to the sustainable consumption literature by integrating personal innovativeness with symbolic value considerations in green purchasing decisions, offering a novel insight into how individual traits and product symbolism interact to influence consumer behavior in the context of environmental sustainability.

This paper aims to examine the management controls that support (and fail to support) a craft brewery’s servitization journey from start-up, through growth, to maturity. It enriches our understanding of how management controls can facilitate the discovery of a service-identity that provides the foundation for servitization.

Drawing on in-depth interviews, fieldwork and secondary data analyses, this paper reports on a longitudinal case study of a craft brewery. The authors trace the case company’s servitization journey using a service-dominant logic theoretical perspective. This perspective focuses us on how the value of a product is cocreated with customers, rather than being created by the firm and then distributed.

The study found that many management controls emerged at the craft brewery from start-up to maturity. Some management controls supported a goods logic, while others supported a service logic. The findings highlight how people and cultural controls in particular enabled the company to move toward a service logic focused on servitization. These management controls informed the evolution of offerings, structure reconfiguration and resources at the craft brewery necessary to support servitization.

Studying a craft brewery contributes an alternative type of manufacturing context and shows how service-identity features such as craftiness, collectiveness, neolocalism and innovation affect a company’s servitization journey.

The expansion of online shopping aligned with challenging economic conditions has contributed to increasing fraudulent retail product returns. Retailers employ numerous interventions typically determined by embedded perspectives within the company (supply side) rather than consumer-based assessments of their effectiveness (demand side). This study aims to understand how customers evaluate counter-fraud measures on opportunistic returns fraud in the UK. Based on the fraud triangle and the theory of planned behaviour, we develop an empirically informed framework to assist retail practice.

We collected 485 valid survey responses about consumer attitudes regarding which interventions are effective against different types of returns fraud. First, a principal component section evaluates the policies' effectiveness to identify any policy grouping that could help prioritise specific sets of policies. Second, cluster analysis follows a two-stage approach, where cluster size is determined, and then survey respondents are partitioned into subgroups based on how similar their beliefs are regarding the effectiveness of anti-fraud policies.

We identify policies relating to perceived effectiveness of interventions and create customer profiles to assist retailers in conceptualising potential opportunistic fraudsters. Our product returns fraud framework adopts a consumer perspective to capture the perceived behavioural control of potential fraudsters. Results suggest effectiveness of different types of interventions vary between different types of consumers, which leads to the development of propositions to combat the fraud.

This study is unique in assessing the perceived effectiveness of a range of interventions based on data collection and advanced analytics to combat fraudulent product returns in omnichannel retail.