Spatial movement patterns among intra-destinations using social network analysis

To explore popularly visited tourist locations, travel movement patterns, and movement points, this study collected samples of 321 Chinese tourists and 337 Japanese tourists who were visiting major tourist destinations in Seoul and its vicinity in South Korea. Results of analyzing movement patterns showed that Japanese tourists tend to be clustered around popular attractions, whereas Chinese tourists tend to spread over a larger area of attractions. Some specific shopping and amusement attractions were the locations most popularly visited by both groups. The start points and end points in the two groups’ itineraries were dissimilar overall, even though their patterns were similar in regard to major preferred tourist attractions. Thus, the findings of this study have the potential to contribute to understanding spatial mobility in a tourism destination through tracking tourists’ movement patterns.     

Consumer Responses to the Food Industry’s Proactive and Passive Environmental CSR,Factoring in Price as CSR Tradeoff

This study explores social enterprises’ strategies for addressing mission drift. Relying on an inductive comparative case study of two Italian social enterprises, we show how stakeholder engagement combined with social accounting can successfully support a social venture to re-balance its positioning between wealth generation and social value creation. Indeed, stakeholder engagement helps the internal actors of a social enterprise to rationalize and embody pro-social values previously abandoned, while social accounting reinforces this embodiment process by showing the reintroduced social commitment of the social enterprise to external audiences. Conversely, strategies focused only on social accounting and without significant engagement of external stakeholders prove to be unsuccessful in counterbalancing mission drift because they fail to activate the necessary process of internal re-introduction and operationalization of pro-social values and objectives.     

The role of brand personality,self-congruity,and sensory experience in elucidating sky lounge users’ behavior

This study attempted to develop an integrated model linking brand personality, self-image congruity, hedonic and utilitarian values, and behavioral intentions in the sky lounge context. Our results indicated that brand personality was significantly related to self-image congruity, which in turn influenced hedonic and utilitarian values. While hedonic value significantly affected intentions to revisit and recommend, utilitarian value significantly influenced intention to recommend. Moreover, self-image congruity and values played a significant mediating role. Furthermore, the links from hedonic value to intentions to revisit and recommend, and from utilitarian value to intention to revisit were significantly moderated by sensory experience.     

Patterns of technology life cycles: stochastic analysis based on patent citations

Patent analysis has been considered as an effective means of estimating phases of a technology life cycle. However, previous studies have not considered the dynamic and idiosyncratic aspects of a technology’s progression since they were based on deterministic methods, mainly fitting s- or double s-shaped curves to patent application counts. Moreover, previous methods cannot be executed at the individual patent level. We propose a stochastic technology life cycle analysis to trace the phases of a technology’s progression based on patent citations and identify the patterns of technology life cycles at the individual patent level. At the heart of the proposed approach are a hidden Markov model to estimate the probability of a system being at a certain hidden state from observation and cluster analysis to group a set of objects according to their similarities. A case study of patents about laser technology in lithography is presented.     

How does the partner type in R&D alliances impact technological innovation performance? A study on the Korean biotechnology industry

The number of strategic alliances for R&D activities in the biotechnology industry is sharply increasing. Some studies show that each alliance partner type has different alliance motives, resources and capabilities, organizational structures and cultures, and degrees of competition with partners, which can lead to different performances of strategic alliances. In this regard, this study conducts an empirical analysis of the different impact of each type of alliance partner on technological innovation performance and finds the moderating effect of absorptive capacity and potential competition by categorizing strategic alliances for R&D activities in the biotechnology industry into three types: vertical-downstream alliances, vertical-upstream alliances, and horizontal alliances. This study analyzed 206 Korean biotechnology firms and their strategic alliances for a total of 292 R&D activities. The results of the analysis showed that vertical alliances have a positive impact on technological innovation performance, while horizontal alliances have an inverted U-shaped relationship with technological innovation performance caused by the effect of competition. Additionally, it was confirmed that the R&D intensity of biotechnology firms has a moderating effect of increasing the impact of vertical-upstream alliances on technological innovation performance.     

A Heteroskedastic Multivariate Tobit Analysis of Price Dynamics in the Presence of Price Floors

This article presents an econometric analysis of the effects of price floors on price dynamics and price volatility in a multimarket context. We investigate the implications of a government price-support program providing a censoring mechanism to the price determination process. The analysis uses a dynamic multivariate Tobit model under time-varying volatility. The model is applied to the U.S. dairy markets with a special focus on the effects of government price-support programs in a period of market liberalization. The econometric analysis provides useful information on the multimarket effects of price supports on price dynamics and price volatility.     

Product attributes and models of multiple discreteness

Demand for product characteristics is examined within the context of models that allow for both corner and interior solutions corresponding to zero and non-zero demand. Product attribute information is associated with marginal utility and curvature (satiation) parameters of various utility functions. Empirical applications demonstrate the need for incorporating characteristics in a fairly general way. We also compare our approach to an ideal point and pure Lancasterian versions of our nonlinear utility model. The data support our model over either the ideal point or Lancasterian variants.     

Citizens’ e-participation on agenda setting in local governance: Do individual social capital and e-participation management matter?

Although a growing body of literature has touted e-participation as a means of facilitating greater citizen participation in policy decision-making processes, little is known about the driving forces behind citizens’ use of e-participation. Based on a literature review of social capital and citizen participation, this study develops and tests a model proposing that three dimensions of social capital and three dimensions of citizen participation management should be positively associated with e-participation in agenda setting. Using data from a Korean e-participation survey conducted in 2009, we found that citizens tend to be more active e-participants when they have greater trust in government and are weakly tied to offline social groups. We also found that citizen participants’ perception of government responsiveness to their input can facilitate their e-participation. The study findings imply that local governments should pay more attention to the function of public trust in local government and provide quality feedback in response to citizen input. They should also be sensitive to how the social factors of e-participants can facilitate involvement in agenda setting.     

An empirical analysis of bank interest rate swaps

Considering the characteristics of banks that do and do not report interest rate swaps, the long-term interest rate exposure of a bank and the likelihood and extent of swap market participation are found to be positively related. Key to the finding is the inclusion of variables related to the provision of swap market intermediary services, which significantly explain both the likelihood of swap market participation and the notional value of outstanding swaps. The results suggest that the likelihood and extent of swap market participation by low-capitalized banks is less than for other banks.