Lewis and Clark and the Corps of Discovery: Re‐enactment Event Tourism as Authentic Heritage Travel

Abstract

Heritage tourism has evolved to include study of sub‐segments who travel to attend and participate in historical event re‐enactments. In the US, the bicentennial of the Lewis and Clark expedition to the Pacific coast and back again is being commemorated from its point of departure to its end. This paper is an exploratory study of a sample of re‐enactment tourists who attended three of the Lewis and Clark events. The role that re‐enactment tourism plays in heritage tourism is examined and preliminary findings on perceptions of nostalgia and authenticity of the re‐enactment products and events are presented. Preliminary managerial benefits and suggestions for host communities are provided.     

Shopping motives as antecedents of e-satisfaction and e-loyalty

Abstract

Customer loyalty is fundamental to the profitability and survival of e-tailers. Yet research on antecedents of e-loyalty is relatively limited. This study contributes to the literature by investigating the effect of motives for online shopping on e-satisfaction and e-loyalty. A structural equations model is developed and tested through data from an online survey involving 797 customers of two UK-based e-tailers focussing on hedonic products. The results suggest that convenience, variety seeking, and social interaction help predict e-satisfaction, and that social interaction is the only shopping motive examined with a direct relationship to e-loyalty. Data also show that e-satisfaction is a strong determinant of e-loyalty. These findings are discussed in the light of previous research and avenues of future research are proposed.     

Selection and network effects—Migration flows into OECD countries 1990-2000

This paper presents empirical evidence on immigration flows into the OECD countries during the period 1990-2000. Our results indicate that network effects are strong, but vary between different groups of welfare states and between countries according to the type of immigration policy being applied. Network effects seem to be less important in the Nordic countries which also seem to attract immigrants from the lowest income level source countries. We do not find clear evidence that selection effects measured by migration flows being sensitive to differences in public social expenditures have had a major influence on the observed migration patterns until now. This may partly be explained by restrictive migration policies which may have dampened the potential selection effects.     

Multiple imputation of incomplete zero‐inflated count data

Empirical count data are often zero‐inflated and overdispersed. Currently, there is no software package that allows adequate imputation of these data. We present multiple‐imputation routines for these kinds of count data based on a Bayesian regression approach or alternatively based on a bootstrap approach that work as add‐ons for the popular multiple imputation by chained equations (mice ) software in R (van Buuren and Groothuis‐Oudshoorn , Journal of Statistical Software, vol. 45, 2011, p. 1). We demonstrate in a Monte Carlo simulation that our procedures are superior to currently available count data procedures. It is emphasized that thorough modeling is essential to obtain plausible imputations and that model mis‐specifications can bias parameter estimates and standard errors quite noticeably. Finally, the strengths and limitations of our procedures are discussed, and fruitful avenues for future theory and software development are outlined.     

Integrating future-oriented technology analysis and risk assessment methodologies

This paper examines the potential of integrating future-oriented technology analysis (FTA) with risk assessment methodologies and tools, with the aim of developing more proactive risk assessments and also systematically including risk assessment in future-oriented technology analysis. The similarities and development challenges of foresight, Technology Analysis (TA) and risk assessment methodologies are discussed in the light of the empirical material gathered from projects performed at VTT. Among the projects are IRRIIS project focusing on risk assessment of critical infrastructures, INNORISK project aiming at managing opportunities, risk and uncertainties in new business creation and a project related to the climate change (CES). The case projects are positioned according to their important design dimensions (informative vs. instrumental outcomes; consensual vs. diverse future perspectives, extensive vs. exclusive stakeholder involvement, and autonomous vs. fixed management). The common and complementary features of FTA and risk assessment are discussed, suggesting new ways to evolve the modular design when integrating FTA and risk assessment methodologies and tools.     

Organizational design of R&D after mergers and the role of budget responsibility

We consider an innovation contest between n firms in the presence of knowledge leakages from an innovating firm to its rivals. Our analysis focuses on the effects of these knowledge spillovers on merger activities between firms. In particular, we are interested in how different organizational designs of R&D after mergers affect profits of firms taking part in a merger and profits of their non-merging rivals. Three organizational arrangements are analyzed: first, a fusion of R&D departments in which the newly merged firm decides to close down one of the previously two R&D departments. Second, a profit center arrangement in which the newly merged firm keeps the old R&D departments as fully functional entities with a sovereign budget responsibility at each of the two departments. Third, a multisubsidiary organizational form in which the newly merged firm still keeps the old R&D departments but with restricted budget responsibility in the sense that they are forced to determine cooperatively their R&D budgets in order to maximize overall firm’s profits. It turns out that the different organizational designs of R&D after the merger and the budget responsibilities have major impacts on merger outcomes.     

Assessing the role of option grants to CEOs: How important is heterogeneity?

This paper revisits the question of whether CEO compensation practices are in keeping with those justified by agency theory. We develop and analyze a new panel Tobit model, estimated by modern Bayesian methods, in which the heterogeneity of covariate effects across firms is modeled in a hierarchical way. We find that our specification of heterogeneity provides a significantly improved fit to the data. Our results show support for the hypothesis that companies increase option awards to their CEOs when agency problems become more pronounced. We also find that liquidity constraints matter in defining the cash–option mix of CEO compensation.     

A typology of consumers' variety-seeking disposition based on inherent needs

Abstract

Consumers' variety seeking has preoccupied many researchers over the last three decades, and many explanations and models have been produced. The concept is relevant to market segmentation, but it has not been fully explored. This study explores variety seeking in order to derive a consumer typology based on the strength of the disposition to seek for variety, and the intrinsic needs that trigger this disposition. A quantitative methodology is adopted using a sample comprising customers of a large UK-based clothing retailer. Factor and cluster analyses are used to derive a variety-seeking disposition (VSD) typology. Findings indicate four distinct clusters, which differentiate in terms of the strength of VSD and the built-in needs that drive VSD. Clusters also discriminate in terms of behavioural, attitudinal, and demographic variables, including attitude to clothes, brand commitment, interest in fashion, age, gender, education, and occupation. A number of implications derive from this study in relation to targeting and marketing strategy.