The impact of tour quality and tourist satisfaction on tourist loyalty: The case of Chinese tourists in Korea

This study examines the causal relationship between tourist expectations, tourist motivations, tour quality, tourist satisfaction, tourist complaints and tourist loyalty of Chinese tourists in the Republic of Korea using path analysis. It was found that tourist expectations have a negative effect on the perceived experiential quality of the tour, yet tourist motivation has a positive effect on the perceived tour quality. In turn, the perceived tour quality has a positive effect on tourist satisfaction. Similarly there is an inverse relationship between satisfaction and tourist complaints, and a positive relationship exists between satisfaction and loyalty. Equally, the higher is the number of complaints, the lower are the loyalty levels. These results will provide potential guidelines for inbound tour agents who plan to attract Chinese tourists to Korea and enable them to formulate appropriate strategies. This study also seeks to contribute to conceptual and policy formation by understanding the determinants of tourist satisfaction and loyalty.     

Identifying the structure of knowledge networks in the US mobile ecosystems: patent citation analysis

With the emergence of smartphones, the paradigm of the mobile ecosystem has changed rapidly. In particular, global mobile firms focus on technological competition when jostling for market position in recognition of the strategic need to secure a strong mobile platform. In this paper, we analyse the network structure of technological knowledge flows in mobile ecosystems using US patent citation information. We find that two subsectors, platform providers and application and software providers, are at the centre of knowledge exchange activity and play a brokerage role as the key knowledge mediator. Then, we categorise mobile firms into five different groups based on the patterns of their network centrality: knowledge keystone players, knowledge-distributing mediators, knowledge-absorbing mediators, catch-up players, and pure knowledge receivers. The categorisation of firms demonstrates that knowledge flows in the mobile industry converge towards a few leading firms, and such patterns are shaping the mobile ecosystem with respect to technological knowledge. The firms categorised as catch-up players have played a brokerage role within their group, while the firms categorised as knowledge keystone players play a brokerage role across different groups.     

Labor Market Information Acquisition and Downsizing

We study the optimal mechanism for downsizing the public sector which takes into account different informational constraints (complete versus asymmetric information on each worker’s efficiency) and political constraints (mandatory versus voluntary downsizing). Under complete information, the optimal structure of downsizing (who is laid‐off and who is not) does not depend on the political constraint and is determined by the (marginal) cost of retaining a worker in the public sector. Since this cost includes his opportunity cost in the private sector, information acquisition on opportunity costs affects the structure of downsizing. Under asymmetric information, the political constraints determine which workers obtain information rents and therefore affect the structure of downsizing. An increase in the precision of the information on workers’ opportunity costs may increase or decrease social welfare depending on its impacts on the information rents.     

The Effects of Reversible Investment on Capital Structure and Credit Risks

We propose a structural model with an optimal switching of diffusion regimes that integrates a wide range of investment reversibility. The default boundary and switching thresholds are endogenously determined, and they enable us to comprehend the interrelated problems of the investment decision, capital structure, and credit risks. We examine not only the under/overinvestment but also the under/overdisinvestment. The leverage ratio decreases when the firm has an option to invest in a reversible project, which can alleviate the capital structure puzzle. Furthermore, the model significantly reduces the wide dispersion of yield spreads depending on the credit grade of bonds.     

Re-evaluation of global innovation index based on a structural equation model

The Global Innovation Index (GII) was proposed to observe the innovation capability and efficiency levels of individual countries using input and output factors. However, it does not consider potential structural relationships among factors affecting the innovation performance of a country. In this study, we proposed a structural equation model (SEM) based on the hypothesised national innovation structure among seven factors representing inputs (institution, human capital and research, infrastructure, market sophistication, and business sophistication) and outputs (knowledge and technology outputs, and creative outputs). Using GII data from 2013, we discovered that business sophistication and infrastructure have the strongest direct and indirect effects on creative output, respectively. In addition, a new ranking is obtained based on the fitted SEM. We provide feedback information to improve innovation capabilities.     

Treating and Pruning: New approaches to forecasting model selection and combination using prediction intervals

We propose a new way of selecting among model forms in automated exponential smoothing routines, consequently enhancing their predictive power. The procedure, here addressed as treating, operates by selectively subsetting the ensemble of competing models based on information from their prediction intervals. By the same token, we set forth a pruning strategy to improve the accuracy of both point forecasts and prediction intervals in forecast combination methods. The proposed approaches are respectively applied to automated exponential smoothing routines and Bagging algorithms, to demonstrate their potential. An empirical experiment is conducted on a wide range of series from the M-Competitions. The results attest that the proposed approaches are simple, without requiring much additional computational cost, but capable of substantially improving forecasting accuracy for both point forecasts and prediction intervals, outperforming important benchmarks and recently developed forecast combination methods.     

Examining the influence of casino attributes on baby boomers’ satisfaction and loyalty in the casino industry

The baby boomer market draws attention from the hospitality industry due to its economic power and substantial size. Despite the importance of this market segment, no empirical research to date has provided effective strategies to maximise baby boomer casino visitors’ satisfaction and loyalty. The purposes of this study were: (1) to investigate possible casino attributes that influence baby boomer casino visitors’ satisfaction levels and (2) to examine how these attributes influence satisfaction level, thus resulting in the formation of loyalty. Based on a literature review, five casino attributes influencing casino visitors’ satisfaction were derived. Exploratory factor analysis conducted with 700 baby boomers resulted in the hypothesis that baby boomers’ satisfaction with a casino is determined by five casino attributes: slot machines, table games, winning perception, non-gaming-related services, and promotions and benefits. Subsequent confirmatory factor analysis and structural equation modelling analysis revealed that four of the five casino attributes derived from the literature review are key antecedents of gaming satisfaction, attitudinal loyalty, and behavioural loyalty formation in the casino industry: slot machines, table games, non-gaming-related services, and winning perception. With regard to the fifth attribute, promotions and benefits were actually not found to heavily influence baby boomers’ casino satisfaction and loyalty. Based on the findings, the key theoretical and managerial implications are discussed in the latter part of this article.     

Determining factors for the adoption of e-business: the case of SMEs in Korea

This study investigates the determining factors of the successful adoption of e-business by small and medium enterprises (SMEs) in Korea using survey data. After the major determining factors were identified from the innovation adoption literature and were extracted by applying the principal component analysis to the survey data and by adding the country-specific characteristics of Korea, we conducted empirical analyses to determine the critical success factors for the adoption of e-business by Korean firms. The empirical results which are based on t-tests of the differences between adopters and non-adopters, the linear probability model, and the logit model, all suggest that the important determinants of the successful adoption of e-business by SMEs in Korea are: the CEO's knowledge of information technology (IT)/e-business, relative advantages and benefits from implementing e-business, governmental support, globalization strategy and the North Korean factor. Business size, the cost of e-business adoption and competitive pressure of the industry do not seem to play an important role in the adoption of e-business by Korean SMEs. The policy implications of this study on promoting e-business adoption by SMEs in emerging economies, such as Korea, are also discussed.     

Interconnection among academic journal websites: multilateral versus bilateral interconnection

Electronic academic journal websites provide text and data mining (and linking) services. Fully realizing the benefit of these services requires interconnection among websites. We perform a comparison between multilateral interconnection through an open platform and bilateral interconnection, and find that publishers are fully interconnected in the former regime whereas they are often partially interconnected in the latter regime for exclusion or differentiation motives. If partial interconnection arises for differentiation motives, exclusion of a small publisher(s) occurs more often in the former than in the latter. In the case of multilateral interconnection, an open platform generates lower welfare than a for‐profit platform.