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The present study aims to clarify how online friendships between local residents and tourists are made in a hospitality exchange network, one of the not-for-profit sharing economy platforms. Specifically, the study empirically examines three topics: the properties of dyadic relationships in the platform; the effect of face-to-face interactions on online friendships in the platform; and the role of locals in building host-guest relationships in the hospitality exchange network.

Social networks data in CouchSurfing.org were collected and analyzed using a social network analysis (SNA) program. Along with the descriptive analysis of the actors in the online hospitality network, several SNA indicators, including the degree of centrality, density and centralization, were measured to explore the nature of the network and identify the gatekeepers.

Findings suggest that latent ties between tourists and hosts are likely to be manifested through face-to-face events. In particular, local people play central roles in establishing host-guest relationships.

This study contributes to the body of knowledge on the sharing economy in hospitality by synthesizing two areas in the literature, the host-guest framework and the online hospitality networks.

The social psychological aspects of the sharing economy have yet to receive attention from hospitality scholars. In addition, studies have largely focused on profit-driven models in the sharing economy (e.g. Airbnb). This study fills this gap by examining the host and guest behavior empirically in one of the not-for-profit hospitality sharing economy platforms.

This study examines the bid/ask spread and its components in the KOSPI200 options market under the framework of the cross-market model, which utilizes the order flow information of both KOSPI200 futures and options markets. We also compare the results by the single-market model (MRR model; Madhavan et al., 1997) and by the cross-market model (Ryu (2011)’s extension). This comparison suggests that the cross-market approach can mitigate the underestimation of the permanent spread component of OTM options and the overestimation of the component of ITM options, which are often detected when we directly apply the single market model into the KOSPI200 options market where the ITM options are relatively illiquid while the OTM options are extremely liquid. We also find that the effect of the order flow information of the futures market on the option spread and its permanent spread component will vary depending on the option moneyness and the intraday time period. This implies that the order flow of the futures market has more significant effects if the degree of informed trading is relatively high.

The purpose of this paper is to test if and how interactive thematic maps can encourage the formation of tourists' perceptual maps of attractions in a destination.

Data were derived from 365 online trip planners generated by users of the Amish Country web site from 1 August 2007 to 31 July 2008. Given the nature of the data set, network analysis techniques were used to analyze the data.

Network analysis findings demonstrate that the things to do (TTD) included in the interactive Heritage Trail map were more frequently bundled together in the saved trip plans than TTDs included in other sections of the web site. Further analysis suggests that some additional non‐Heritage TTDs could be included in the Heritage Trail map due to their perceptual proximity.

The findings provide evidence that interactive maps on web sites can play an important role in tourists' planning behavior, which has significant implications for online tourism marketing. The findings also provide insights as to how online behavioral data can be used to derive marketing intelligence.

This study contributes to the theoretical development of the role of interactive maps in travel planning and also illustrates the usefulness of network analysis for investigating tourism‐related issues.

This study aims to understand Bangladeshi young consumers’ perceptions of sustainable apparel. Specifically, through the lens of the theory of reasoned action (TRA), this study investigates the impacts of man–nature orientation (MNO) and social influences on Bangladeshi young consumers’ intention to purchase sustainable apparel.

Empirical survey-based research was conducted, and data were collected from 387 Bangladeshi college students.

The findings of the study show that MNO significantly influences Bangladeshi young consumers’ attitudes toward purchasing sustainable apparel, which, together with social influences, impacts young Bangladeshi consumers’ intention of making efforts to purchase sustainable apparel.

This study incorporates the specific cultural value – MNO with the traditional TRA model to understand young Bangladeshi consumers’ sustainable apparel purchase intention. The results of this study demonstrate the applicability of the TRA framework in understanding young consumers’ sustainable apparel consumer behavior in the context of Bangladesh, which is a developing country with a collectivistic culture. This study provides insights into how apparel brands and retailers should design their sustainability strategies in developing countries such as Bangladesh.

A comprehensive operational framework is proposed to explain young consumers’ (i.e. generations Y and Z) engagement with brands on social media sites (SMSs). This paper aims to synthesize two motivational theories: uses and gratifications (U&G) theory and the technology acceptance model (TAM).

A selective literature review was conducted to examine recent publications related to young consumers’ brand-driven engagement behavior on SMSs in which either TAM or U&G theory was applied. A three-stage method was used: an initial search was followed by vertical and horizontal searches and then a targeted search of scholarly publications. At each stage, the university’s library databases and Google Scholar were searched for relevant, mainly peer-reviewed articles, using appropriate filters and keywords. The articles’ references and the studies that cited those articles were added to the initially identified research pool (vertical search), coupled with publications of a similar nature based on keywords (horizontal search). The final stage, the targeted search, involved identifying and adding specific articles (e.g. literature reviews and integrated models).

After a review of a significant number of U&G and TAM studies, similarities and differences of the two theories were identified, and an integrated operational framework was developed. Based on empirical findings of existing U&G and TAM studies, testable propositions were presented.

The proposed hybrid model and the associated propositions provide a research opportunity to empirically examine how young consumers’ motivational (i.e. motivating and demotivating) drivers, normative influence, perceived value and attitudes (toward brand content and engagement) predict intention or actual brand-related behavior on SMSs.

Much of current research indicates that generations Y and Z (“digital natives”) spend considerably more time on SMSs than any of the older generations (“digital immigrants”). Thus, brands that aim to target this cohort need to develop successful engagement strategies (e.g. gamification and influencer marketing) on current and emerging SMSs. The suggested conceptualization provides guidelines for companies to effectively use such communication strategies to motivate young people to engage with their brands on sites such as Twitter, Instagram and Facebook.

A review of TAM research indicates that it lacks rich motivating/demotivating constructs, and thus borrows from other theories to complement this weakness. An examination of U&G frameworks, particularity Ducoffe (1996)-based models, indicates that these frameworks mainly test engagement with social media advertising but seldom other types of brand-driven engagement on SMSs. In addition, many U&G studies focus less than TAM studies do on outcome variables such as behavioral intentions and behavior. Thus, the authors propose a synthesized U&G and TAM framework that mitigates both theories’ weaknesses and builds on their strengths, enriching the growing research on brand-driven engagement behavior via SMSs.

The weapon system of The Navy is the small quantity producing system on multiple kinds. It is consisted of various equipment and the subordinate parts of those which can repair the damaged part. The operating procedure concerning warship's repair parts managed under these systems is as follows. Firstly, if demand of repair parts occurs from warship which is the operating unit of weapon, then the Fleet(the repair & supply support battalion) is in charge of dealing with these requests. If certain request from warship is beyond the battalion's capability, it is delivered directly to the Logistic Command. In short, the repair and supply support system of repair parts can be described as the multi-level support system. The various theoretical researches on inventory management of Navy's repair parts and simulation study that reflects reality in detail have been carried out simultaneously. However, the majority of existing research has been conducted on aircraft and tank's repairable items, in that, the studies is woefully deficient in the area concerning Navy's inventory management. For that reason, this paper firstly constructs the model of consumable items that is frequently damaged reflecting characteristics of navy's repair parts inventory management using ARENA simulation. After that, this paper is trying to propose methodology to analyze optimal inventory level of each supply unit through OptQuest, the optimization program of ARENA simulation.

The purpose of this paper is to examine how corruption has changed over time in South Korea and to explore how the corruption control and prevention efforts of the Korean government have been successful and failed.

This paper draws on institutional theory to formulate a qualitative analysis to assess the effectiveness of anti-corruption policies and measures, and to identify the strengths and weaknesses of anti-corruption reform efforts in South Korea.

This paper argues that while the Korean government has been quite successful in building anti-corruption institutions to control low-level petty corruption, it has failed to institutionalize anti-corruption institutions to curb high-level grand corruption.

While many studies have attempted to identify the successful factors of fighting corruption, this paper draws a theoretical distinction between institution-building vs institutionalization to examine the success and failure of corruption control and prevention efforts in South Korea.

This study aims to determine the repurchase intention of food truck products based on perceived risks and perceived benefits by consumers within the context of Malaysia. Recently, the food truck industry has been expanding as customers begin to explore alternatives for food convenience. However, there are not many studies carried out on this topic, especially in Asian countries. This study will fill the gaps on the factors that affect repurchase intention, especially perceived risks and perceived benefits of food trucks products.

A cross-sectional online survey was conducted through Facebook Messenger and WhatsApp on consumers with prior experience in buying food truck products. The partial least square (PLS) modelling using the SmartPLS software was employed to analyse the data.

The results from 294 food truck consumers showed that perceived benefit, food safety, attitude and subjective norm significantly influence food truck products' repurchase intention. On the other hand, perceived risk towards the environment and perceived behavioural control do not substantially affect food truck products' repurchase intention.

The data collected were related only to the food trucker's customer that operates in Malaysia. Thus, the results might be only applicable to similar other Asian or developing countries.

The results provided some managerial indicators to improve the level of business efficiency among food truck operators. Besides, marketers and policymakers can develop effective strategies and policies based on this study to develop this industry further.

The study gives a fresh overview of how the food truck business can improve its services in developing countries. The results offer a competitive advantage and how to strengthen customer retention that can improve business performance.

The purpose of this paper is to examine the relationship between price movements of target firms’ stocks and behaviors of local individual, local institutional and foreign investors in trading target firms’ stocks around mergers and acquisitions announcements in Korea.

This study uses event study methodology and cross-sectional regressions for abnormal returns.

Results reveal that the average abnormal return becomes significantly positive three days prior to the announcement date and becomes insignificant after the announcement date. Results also show that local individual investors tend to sell more intensely prior to announcements for target firms with larger wealth effects. In contrast, foreign investors tend to buy target stocks with larger wealth effects more intensely prior to the announcement date, and then they sell them more intensely in the post-announcement period.

This paper provides evidence that foreign investors are able to identify target stocks with large wealth effects prior to the announcement date and they realize short-term profits by selling them following the announcement.

The purpose of this paper is to investigate how the venture capital industry evolves in Korea. The paper also compares the venture capital industry growth of Korea with that of the USA.

This paper forecasts the growth of the Korean venture capital industry using the Bass Model. The authors apply the Bass Model to both Korean and US data to compare the model estimates of Korean and US data, and to make use of the US case by taking the “guess by similarity” approach to analyze Korean venture capital industry growth.

The authors find that the innovative fund inflows in Korea are stronger than those in the USA, while inertial reinvestments are weak. The study forecasts that new investments in Korea grow at a 5-7 percent rate each year for the next five years, and the growth rate slows down over time. Peak investment is predicted around the year 2030.

Based on the forecasted venture capital investment schedule each year, this study derives the fundraising schedule and the implications for Korea fund-of-funds management to match the investment schedule.

The model estimates provide a guideline for forecasting venture capital industry development in countries with brief histories of venture capital, which lack data. The analysis can also be applied to cases when developing countries and emerging financial markets assess the impact of government interventions on venture capital industry growth, especially when they provide fund-of-funds.