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This paper aims to examine how an innovative concept was introduced to a new market segment through varied marketing techniques.

Newspapers from 1958 were reviewed to assess the impact of a chocolate company advertising campaign targeting children. The paper examines the interpretation of the campaign message and the information contained in an album of collectable cards.

Parents leave the teaching role in the hands of companies when they do not clearly understand new technologies such as nuclear energy. Companies can take advantage of what governments introduce into the market to increase their sales.

The originality of the paper lies in the examination of collectable cards as a means of researching marketing history and contributes to the study of market segmentation, particularly in the case of children, focussing on nuclear energy.

Collecting behaviour is a special type of consumption, which consists of several traits, such as “completion”, “perfection”, “caring” and “cooperation”. The purpose of this study is to shed light on this complex consumption behaviour, by effectively developing an empirical typology of collectors and explaining their motivation to engage in collecting.

In total, 208 questionnaires were collected among Thai collectors. A set-theoretic comparative approach was implemented – namely, fuzzy-set qualitative comparative analysis. The value of the proposed approach over conventional correlational methods, is illustrated through an examination of a set of relevant research propositions.

The study develops an empirical typology of collectors, on the basis of the various collecting behaviour traits. It has been suggested that different combinations of motives are sufficient for identifying collector types accurately, and the proposed typology is stable and generalizable across collectors of different demographic characteristics. Specifically, “expert professionals” are mainly driven by adventure and social motives, while the role of idea motive is crucial for “introvert focusers”. Adventure and social motives are necessary conditions for “extrovert altruists”, while gratification has a deleterious role. The presence of social motive is necessary for “hobbyists”, while the absence of value motive is also required.

The brand collectible market is booming, and the collectibles can be a strategy for brands to maintain existing users and reinforce loyalty levels. Global brands, such as Swatch and Coca-Cola, have been acquired for collection rather than typical consumption purposes. Marketers and brand managers should therefore monitor the motivation behind this complex consumption behaviour. The mosaic of motives to engage in collecting behaviour varies across different types of collectors, and therefore specifically tailored strategies are proposed.

The study tackles the lack of literature specifically focussing on collecting behaviour in relation to motivation. This is the first attempt to empirically derive a collectors’ typology and provide a nuanced coverage of how financial and nonfinancial (hedonic) motives and their combinations affect different collector types.

Studies of unicorns and gazelles can offer detailed information about the process of enterprise development but are unrepresentative as examples of entrepreneurial success. In presenting a novel method for outlier analysis, this article combines insights from case studies of unusual organizations with explanatory frameworks that management scholars have applied to broader samples of firms, irrespective of their survival.

The authors illustrate the approach to outlier analysis using a prominent case from economic history: the House of Rothschild, founded during the 18th century, which became the most famous investment bank in Europe. Following the iterative refinement of mechanisms using comparison data on Jewish enclave firms, this analysis sheds light on the sources of dissimilarity in outcomes between Rothschild and the comparison group.

The study results suggest that the House of Rothschild's longevity can be explained via the mechanisms of risk sequencing, intergenerational transfers and spatial brokerage. The authors show that these mechanisms are not idiosyncratic to one enterprise but instead generalize to other family firms.

Outlier analysis encourages a rapprochement between case study and large-N research. The high failure rate of new organizations means that those yielding a large amount of information to researchers tend to be exceptional. By obtaining data on a comparison group of startups founded by similar entrepreneurs, analysts can probe the mechanisms of success identified for unicorns or gazelles.

This article aims to analyze the relationships between the different categories of rare whiskies and the opportunities for investors and collectors.

This article uses indices representative of collectors, market performance and specific from 2008–2022 to a distillery and determine the returns. The author performs stationarity tests, cointegration procedures and the Granger non-causality test.

The results of this article indicates that average returns are positive. In addition, there is a wide range of annual returns, i.e. strongly negative and positive, leading to possible speculation over short periods. High and heterogeneous volatility accompanies these potential gains. The correlations between the different returns of rare whisky are close to zero, indicating potential gains in terms of portfolio diversification. This result is crucial for investors-speculators that benefit from an additional alternative asset. Cointegration relationships are more numerous in the short run than in the long run, confirming that rare whisky could present potential gains for investors, as collectors have in-depth knowledge of the relationships between the different markets.

Finally, the author discusses the implications for different categories of economic actors (investors, collectors, sellers and producers).

For several years, the classic car market has been attracting considerable media and public attention, but the research literature is virtually nonexistent. The purpose of this paper is to address the factors that determine the values of classic car models and explain the remarkable price differences among them.

The paper develops and tests a set of research hypotheses about the effects of model characteristics on market values in the context of a generalized hedonic price model that also accounts for heterogeneity among classic car brands.

It is demonstrated that classic car model values reside at several levels and are determined by observable characteristics pertaining to aesthetics, rarity, engineering and performance. In addition, we show that classic car marques play a critical role in the determination of model values and account for considerable variation in values, even after controlling for observable model attributes

This is one of the first empirical studies to address classic car model value formation. The findings reveal how measurable, observable factors determine classic car model values and augment our understanding of a very interesting but understudied market.

The aim of this research was to explore possible origins of enduring involvement (EI) with products and stimulate relevant research. In addition, this study also examined the conditions that affect involvement development and change.

Autobiographic narratives were gathered from consumers identified as being highly involved with cars, photography, fashion, or jazz. The data were analyzed at the surface structure, the narrative level, and the deep level, to arrive at chronic structures of the episodes discussed in the narratives.

EI is a dynamic construct that emerges due to socialization and influences endemic to the product class. Numerous contextual and intervening conditions, such as product tractability, switching costs, disposable variables, and role demands appear to affect the overall development and growth of EI.

In both the design of a product, as well as the facilitation of product‐centered social interaction, marketers can significantly influence the development of a consumer's enduring product involvement. Such a development has long‐term implications for consumer spending and behavior in relation to a product category or specific brand.

The research is among the first works in consumer behavior to map specific elements associated with the development of EI. Further it also helps understand why consumers, rather than become bored, turn increasingly connected and involved with a product category over a period of time. Future research, both qualitative and quantitative, might build upon the results.

This paper offers two short case studies with the aim of showing how two local authorities are tackling the problems of the decline of market halls and covered markets within UK towns and cities.

The paper begins with an outline of the origin of market halls and covered markets and a review of the reasons for their recent decline. These two sections provide the contextual framework for the case studies of the Grainger Market in Newcastle and the Market Hall in Chester. The paper draws its empirical material from planning documents posted on the world wide web by the two respective local authorities and by visits to both markets.

The Grainger Market has been facing a number of problems relating to environmental quality, the failure to modernise the retail offer and poor relationships between the market traders and the local authority. A phased refurbishment programme and the introduction of a more active management style are bringing a greater sense of vitality to the market. Chester City Council have made application to close the market hall as part of a wider central urban redevelopment plan and here the focus is to the construction of a spacious new market in a high profile location. While the two case studies offer illustrative examples of attempts to revive market halls and covered markets it remains to be seen to what extent their refurbishment and redevelopment can play a key role in enhancing the viability and vitality of town and city centres.

The paper provides an accessible case study review of the ways in which local authorities in the UK are looking to address the decline of the market halls and covered markets that were once a dominant feature of the urban retail structure in many towns and cities.

Souvenirs have been repeatedly studied as both a subject and as a variable for other tourism-related phenomena, but research into this issue is fragmented. The purpose of this study is twofold: first, to analyze souvenir in tourism to provide a comprehensive state-of-the-art review. Second, this paper contributes to identifying the directions for future search through reviewing existing literature. This study is one of the first papers to offer a systematic overview of the key themes in tourism souvenir research. In addition to the key themes, this paper also offers insights into future souvenir research.

As the demand for online auctions increases, the process of monitoring multiple auction houses, deciding which auction to participate in and making the right bids, become challenging tasks for consumers. Hence, knowing the closing price of a given auction would be an advantage, since this information will ensure a win in a given auction. However, predicting a closing price for an auction is not easy, since it is dependent on many factors. The purpose of this paper is to report on a predictor agent that utilises grey system theory to predict the closing price for a given auction.

The focus of the research is on grey system agent. This paper reports on the development of a predictor agent that attempts to predict the online auction closing price in order to maximise the bidder's profit. The performance of this predictor agent is compared with two well‐known techniques, the Simple Exponential Function and the Time Series, in a simulated auction environment and in the eBay auction.

The grey theory agent gives a better result when less input data are made, while the Time Series Agent can be used with the availability of a lot of information. Although the Simple Exponential Function Agent is able to predict well with less input data, it is not an appropriate method to be applied in the prediction model since its formula is not realistic and applicable in predicting the online auction closing price. The experimental results also showed that using moving historical data produces a higher accuracy rate than using fixed historical data for all three agents.

Grey system theory prediction model, GM(1, 1) has not been applied in online auction prediction. In this paper the authors have applied grey theory into an agent to predict the closing price of an online auction, in order to increase the profit of bidders in the bidding stage. The experimental results show that the accuracy of the grey prediction model is more then 90 per cent, with less then eight historical data inputs.