Exploring the use of travel information – identifying contextual market segmentation in Seoul, Korea

As the amount of information is rapidly growing, and ubiquitous urban environments are emerging, the question which kind of information to provide is a major challenge for commercial and public travel-information service providers alike. This paper reports the analyses of recent data, collected in Metropolitan Seoul, about the acquisition of travel information. The study applies CHAID analysis to find homogeneous segments in travel information acquisition. Findings indicate that contextual variables are crucial to explain information acquisition behaviour, depending on decision context. The implication is that both socioeconomic and contextual variables are important to better understand the acquisition (and provision) of travel information. The results have important implications for managers and policy-makers, in particular in the way they respond to dynamic, contextual market segmentation.     

The customisation framework for roadmapping product-service integration

Product-service integration is becoming a dominant contemporary trend, motivated by how technology can shape areas of potential product/service interactivity and triggers interactions. Since the role of technology differs from case to case, the strategic planning of product-service integration should focus on accommodating the real-life business situation. In response, this paper suggests a customisation framework for product-service roadmapping according to the technological interface involved, and provides practical guidance in its implementation. This framework consists of five steps in three main stages. The first deals with the structural determination of roadmapping, planning ??what to plan??, determining the role of technology and the roadmapping format. The second phase plans the functional determination, dealing the issue of ??how to plan??, including deciding on the relevant roadmapping procedures and methodology. Finally, the roadmap for product-service integration is developed. To illustrate the workings of proposed approach, six case examples are provided for different modes of integration, providing a practical illustration for product-service integration.     

CEO career horizon,corporate governance,and real options: The role of economic short‐termism

Research Summary: Combining studies on real options theory and economic short‐termism, we propose that, depending on CEOs’ career horizons, CEOs have heterogeneous interests in strategic flexibility, and thus, have different incentives to make real options investments. We argue that compared to CEOs with longer career horizons, CEOs with shorter career horizons will be less inclined to make real options investments because they may not fully reap the rewards during their tenure. In addition, we argue that long‐term incentives and institutional ownership will mitigate the relationship between CEOs’ career horizons and real options investments. U.S. public firms as an empirical setting produced consistent evidence for our predictions. Our study is the first to theoretically explain and empirically show that a CEO's self‐seeking behavior will impact real options investments. Managerial Summary: This article helps to explain how a CEO's self seeking‐behavior may shape a firm's real option investment, which could result in different level of strategic flexibility. We argue that CEOs with short career horizons have less time to exercise their firms’ real options, which should lower the investments in the firms’ real options portfolios relative to CEOs with long career horizons. We study a sample of U.S. public firms and find strong evidence that a CEO's expected tenure in the firm is positively related to the real options investments at the firm level. We find that this agency issue can be mitigated by adopting appropriate corporate governance mechanisms such as long‐term incentives and institutional investors.     

A Study on Flow Experience Structures: Enhancement or Death,Prospects for the Korean Wave

In proposing the concept of flow which focuses on experiencing the sites visited by Korean Wave tourists as induced by drama or movies, the role of involvement level (variables) of Korean Wave tourists in influencing flow construct as they experience the sites of FIT (Film Induced Tourism) was investigated. The involvement level of Korean Wave visitors was found to operate as a mechanism by which challenge, skills, and focused attention on site might be more organized or more actively experienced. This recognizes that there is clearly a need for making the FIT sites exposed much by any mix of various media. The findings of this study showed that challenges and skills influence enjoyment as an output factor of flow. Film site visitors are assumed to participate in the roles of film characters, experiencing the places and the atmosphere. The degree of visitors' reflections of the film optimizes awareness of flow experiences on the site. Therefore it is necessary to provide more detailed experiential programs on the film sites with a wide variety of flow-related contents in the film.     

Introduction to APPC-2018, a Special Issue of the Journal of Productivity Analysis, “Novel Applications of Efficiency and Productivity Analyses in the Asia-Pacific Region”

In this study, an appropriate nonparametric two-step approach to conditional efficiencies is used to investigate how size and time affect the performance of companies. Using a dataset of Italian manufacturing firms over the period 2006–2015, we explore the effect of size on the attainable production set (input-output space) and on the efficiency distribution, without making any a priori assumptions on the role of size on efficiency. Main findings suggest that size positively affects the efficiency of companies. By exploring the idiosyncratic efficiency, an additional empirical result from the conditional efficiency approach shows that the economic disparities between North, Centre and South of Italy not only limit the foreign investment but also seem to penalize the productivity of Italian-owned companies.

     

GMM and 2SLS estimation of mixed regressive,spatial autoregressive models

The GMM method and the classical 2SLS method are considered for the estimation of mixed regressive, spatial autoregressive models. These methods have computational advantage over the conventional maximum likelihood method. The proposed GMM estimators are shown to be consistent and asymptotically normal. Within certain classes of GMM estimators, best ones are derived. The proposed GMM estimators improve upon the 2SLS estimators and are applicable even if all regressors are irrelevant. A best GMM estimator may have the same limiting distribution as the ML estimator (with normal disturbances).     

Identification and estimation of econometric models with group interactions,contextual factors and fixed effects

This paper considers identification and estimation of structural interaction effects in a social interaction model. The model allows unobservables in the group structure, which may be correlated with included regressors. We show that both the endogenous and exogenous interaction effects can be identified if there are sufficient variations in group sizes. We consider the estimation of the model by the conditional maximum likelihood and instrumental variables methods. For the case with large group sizes, the possible identification can be weak in the sense that the estimates converge in distribution at low rates.