Confronting sustainable development in two rural heritage valorization models

Many rural areas have reinvented their territorial development through tourism, turning to vernacular heritage to ensure their future. Various models of heritage preservation and valorization are adopted where small-scale agriculture is no longer viable. Among them, ecomuseums and place-based labelization schemes transform rural heritage into an economic resource while remaining grounded in cultural and architectural preservation and identity transmission to future generations. Both face criticisms, including being decried as fostering the museumification and mythification of the rural, effectively holding back rural areas in an imagined and romanticized past rather than providing a vision for a sustainable future. The Association of the Most Beautiful Villages of France and the Ecomusée d'Alsace illustrate the debate. This investigation analyzes how these two initiatives challenge critics. It unveils their respective understandings of the future of rurality and their approach to promoting sustainable communities through tourism. By highlighting responses to tensions between valorizing the past and forward development in the countryside, findings reveal paradigm shifts from traditional habitat preservation to future-oriented architectural pedagogy in one case, while operational exigencies and normative quality principles mitigate opportunities in the other.     

When do the stock market returns to new product preannouncements predict product performance? Empirical evidence from the U.S. automotive industry

Substantial research has examined how stock market reactions to marketing actions affect subsequent marketing decisions. However, prior research provides limited insights into whether abnormal stock returns to a marketing action actually predict the future performance resulting from that action. This study focuses on new product preannouncements (NPPAs) and investigates the relationship between short-term stock market returns to an NPPA and the post-launch new product performance under various industry and firm conditions. Findings based on a dynamic panel data analysis of 208 NPPAs in the U.S. automotive industry between 2001 and 2014 reveal that stock returns associated with an NPPA are not an appropriate forward-looking measure of future product performance. However, under specific conditions (i.e., when the preannouncement is specific, the preannounced new product has low innovativeness, the preannouncing firm has a high reputation and invests heavily in advertising, and the preannouncement environment is less competitive), abnormal stock returns to NPPAs actually predict the future performance of new products. Thus, this study extends the marketing–finance and innovation literature with its focus on the conditions that affect the predictive power of immediate stock returns for the future performance of new products.     

Structural shocks and dynamic elasticities in a long memory model of the US gasoline retail market

A structural multivariate long memory model of the US gasoline market is employed to disentangle structural shocks and to estimate the own-price elasticity of gasoline demand. Our main empirical findings are: (1) there is strong evidence of nonstationarity and mean reversion in the real price of gasoline and in gasoline consumption; (2) accounting for the degree of persistence present in the data is essential to assess the responses of these two variables to structural shocks; (3) the contributions of the different supply and demand shocks to fluctuations in the gasoline market vary across frequency ranges; and (4) long memory makes available an interesting range of convergent possibilities for gasoline demand elasticities. Our estimates suggest that after a change in prices, consumers undertake a few measures to reduce consumption in the short- and medium-run but are reluctant to implement major changes in their consumption habits.     

Consumers' awareness,acceptance and attitudes towards functional foods in Turkey

The aim of the present study was to investigate consumers' awareness, acceptance and attitudes towards functional foods in Turkey. Eight hundred and eight people participated in this study: aged between 20 and 80 years, 38.5% were male and 61.5% were female. Participants were given a questionnaire and were asked to fill it in by themselves to minimize the influence of the interviewer. Results indicated that socio‐demographic characteristics such as age, education level and income level are important indicators of consumers' awareness and consumption of functional food. The results show that the female respondents were 2.987 times more aware of functional food than the male respondents. Similarly, the likelihood of respondents having awareness of functional food was 1.431 times greater among those who had a higher educational level than among those with a lower educational level. Consumers who used vitamin supplements were 1.228 times more aware of functional food than other consumers. The results show that older respondents were 3.395 times more aware of functional food than younger respondents. Respondents with a history of familial diseases were more likely than others to have consumed margarine with plant sterol, fruit juices fortified with vitamin C, and breakfast cereals fortified with vitamins and minerals. Those with a diet‐related problem were more likely to have consumed cholesterol‐lowering products than those without a problem. As a conclusion, this study has shown that socio‐demographic characteristics such as age, education and income levels, and prices are important indicators that influence consumers' awareness and consumption of functional food. These results suggest that this type of knowledge could affect consumers' interest in functional foods, and therefore educational strategies might be necessary to encourage the consumption of functional foods.     

Supporting the Collaborative Construction of a Shared Understanding About Work with a Guided Conceptual Modeling Technique

The existence of a shared understanding about a collaborative work process among all involved actors is one prerequisite for its successful implementation. The development of a shared understanding is facilitated when the actors make explicit their individual views and create externalizations that can be used as subjects of discourse. Instruments supporting externalization and discourse about collaborative work need to provide adequate forms of representation and guide actors in implementing these reflection and alignment processes. Appropriate guidance can facilitate the construction of a shared understanding for actors not accustomed to such processes. This paper introduces a methodology that offers structural and procedural guidance by adopting diagrammatical conceptual modeling techniques. This methodology has been evaluated extensively in a multiple case study. A combination of interaction analysis of the modeling process and ex-post assessment of the actors’ perceptions has been used to evaluate the adequacy of the proposed methodology with respect to the pursued objectives. The results confirm that the modeling methodology and the proposed guidance measures appropriately support the process of constructing a shared understanding about collaborative work processes.     

42 Years of Urban Growth and Industry Composition

In recent decades, knowledge spillovers have taken the helm as the driving force of growth in cities. The ease of communicating ideas and the sheer density of large urban areas have made this a plausible explanation for continued growth of employment and population in cities. However, there is little consensus on the nature of the optimal conditions for stimulating knowledge spillovers. This paper identifies these optimal conditions by exploring the relative importance of industry specialization, diversity and competition across all industries and all metropolitan areas from 1970 to 2011 in the U.S. Long-term employment growth in cities is found to be driven by industry diversity combined with a high level of competition. This combination fosters the greatest amount of cross-industry fertilization of ideas and knowledge spillovers.     

International Trade Finance and Exports: Evidence from Korean Bank-Intermediated Trade Finance Instruments

This paper investigates the effects of trade finance shocks on real exports by using novel data on two bank-intermediated instruments of trade finance in Korea: foreign trade loans extended by commercial banks and documentary bills purchased by them. Using a vector autoregression (VAR) model, the results show that a negative shock to both instruments adversely affects exports, particularly the exports of small and medium-sized enterprises (SMEs). The trade financing condition explains as much as 10–14 % of the variation in exports, which is comparable to the estimates in previous studies. Noteworthy is that the effects of trade finance on SME exports vary upon whether it is pre- or post-shipment financing.