The great divergence on the Korean peninsula (1910–2020)

Before the 1960s, North Korea's GDP per capita was 30%–50% higher than South Korea's due to industrialisation during the 1930s. However, the governments of the two Koreas pursued different goals in the 1960s, which resulted in a reversal. The South Korean government made economic growth its ultimate goal. They did this by self-implementing, adjusting and instituting an export-oriented development strategy. On the other hand, the North Korean government tried to maximise its ability to survive by sacrificing gains from economies of scale. These differences brought about remarkable differences in economic performance. The gap between the two economies has continued to grow since the income level reversal in the 1970s.     

Content analysis of fake consumer reviews by survey-based text categorization

As the influence of online consumer reviews grows, deceptive reviews are a worsening problem, betraying consumers' trust in reviews by pretending to be authentic and informative. This research identifies factors that can separate deceptive reviews from genuine ones. First, we create a novel means of detection by contrasting authentic versus fake word patterns specific to a given domain (e.g., hotel services). We use a survey on a crowdsourcing platform to obtain both genuine and deceptive reviews of hotels. We learned the word patterns from each category to discriminate genuine reviews from fake ones for positively and negatively evaluated reviews, respectively. We show that our All Terms procedure outperforms current benchmark methods in computational linguistics and marketing. Our extended analysis reveals the factors that determine fake reviews (e.g., a lack of details, present- and future-time orientation, and emotional exaggeration) and the factors influencing people's willingness to write fake reviews (including social media trust, product quality consciousness, deal proneness, hedonic and utilitarian consumption, prosocial behavior, and individualism). We also use our procedure to analyze more than 250,000 real-world hotel reviews to detect fake reviews and identify the hotel and review characteristics influencing review fakery in the industry (e.g., star rating, franchise hotel, hotel size, room price, review timing, and review rating).     

Environmental Multi‐dimensionality and Staff Localization in Multinational Enterprises: The Case of Korean Firms

The person–environment fit theory posits that the term “environment” can be defined at different levels. This study delineates two environmental dimensions (strategic and organizational) and empirically examines the potential moderating effects of two strategic factors (intra‐ and inter‐regional diversification) on the relationship between two organizational factors (subsidiary ownership and host‐country experience) and MNE subsidiary staffing composition. The results indicate that strategic and organizational dimensions have impacts on subsidiary staffing composition. This study also finds that the interaction effects between strategic and organizational factors are significant only when there is congruence between demands from different environmental dimensions.     

Employee well-being attribution and job change intentions: The moderating effect of task idiosyncratic deals

We developed and tested a research model in which employee well-being human resource (HR) attribution differentially influences the intention to change jobs across organizations (i.e., external job change intention) versus that within the same organization (i.e., internal job change intention). Furthermore, we posited that task idiosyncratic deals (I-deals) moderated the relationships between employee well-being HR attribution and external and internal job change intentions. Results indicated that employee well-being HR attribution was negatively related to external job change intention, but positively related to internal job change intention. Further, task I-deals significantly moderated the relationships between employee well-being HR attribution and external and internal job change intention. Specifically, employee well-being HR attribution played a less important role in reducing external job change intention when task I-deals were high rather than low. On the other hand, high task I-deals significantly strengthened the positive relationship between employee well-being HR attribution and internal job change intention. Our study extends the careers literature by differentiating the impact of employee well-being HR attribution on job change intentions within an organization compared with that across organizations and the important role of supervisors in enhancing or mitigating these effects.     

Consumer engagement behaviors in the online wildlife trade: Implications for conservationists

This study investigates consumer engagement behaviors in the online wildlife trade, drawing implications for conservationists. The first study undertook a quantitative content analysis of 500 Facebook posts in wildlife trade lateral exchange markets to show how creative strategies, media type and persuasion tactics influence the number of likes and comments that posts receive. The second study then undertook a thematic discourse analysis to develop a rich understanding of the culture, beliefs and motivations that influence how consumers engage in the markets. Findings showed that an overwhelming majority of posts use a functional or informational strategy and that when posts use overt persuasion tactics the number of comments decrease. A conceptual model of how cultural factors may impact the success of marketing strategies is then proposed. These findings have implications for conservationists who seek to build engagement with wildlife trade consumers online.     

Foreign versus domestic institutional investors in emerging markets: Who contributes more to firm-specific information flow?

Using a large sample of firms listed on the Korea Stock Exchange over 1998–2007, this study investigates whether and how trading by foreign and domestic institu...     

Financing Technological Innovation: Evidence from Patent-Intensive Firms

ABSTRACT

Equityholders of firms with high debt loads have an incentive to underinvest, a distortion that can be most costly for firms with attractive growth options. Using a novel patent-based measure of a firm's growth options, we find that firms issue more equity and shy away from debt financing when they have larger investment opportunities sets. The results are more pronounced among firms in patent-intensive industries. The findings suggest the existence of conflicts of interest between debtholders and equityholders. Our results are consistent with the use of conservative debt policies by technology-intensive firms to mitigate the debt overhang associated with their future growth options.     

Is the environment‐friendly factor attractive to customers when purchasing electric vehicles? Evidence from South Korea

In a bid to reduce greenhouse gas emissions, several countries worldwide are implementing policies to promote electric vehicles (EVs). However, contrary to expectations, the diffusion speed of EVs has been rather slow in South Korea. This study analyzes consumer preferences for the technological and environmental attributes of EVs and derives policy and environmental implications to promote market diffusion of EVs in South Korea. We conduct a choice‐based conjoint survey of 1,008 consumers in South Korea and estimate the consumer utility function using a mixed logit model considering consumer heterogeneity. Based on the consumer utility function, we analyze consumers' willingness‐to‐pay (WTP) for EV attributes such as driving range, charging method, charging time, autonomous driving function, carbon dioxide (CO₂) reduction rate, and purchase price. The results indicate that the current low acceptance of EVs is due to their relatively high price and lack of a battery charging technology that satisfies consumers' expectations of the charging method and time. One interesting finding is that Korean consumers have a relatively higher WTP for the CO₂ reduction rate of EVs than consumers in other countries; however, they do not consider CO₂ reduction over other technological attributes when choosing EVs. This implies that the rate of CO₂ reduction of EVs is not an important factor for South Korean consumers when buying EVs. We also calculate the effect of CO₂ reduction with the market penetration of EVs and find that CO₂ reduction through the diffusion of EVs depends on the country's electricity generation mix.     

Heterogeneity and netting efficiency under central clearing: A stochastic network analysis

This paper examines the effect of heterogeneity in clearing members’ exposure management practices under central clearing. Our network model specifies the dynamics of prenetted interbank exposures to shape interdependent exposure distributions beyond normality. Employing over-the-counter derivatives market data from the U.S. Office of the Comptroller of the Currency, our simulation results indicate that heterogeneity in bank-to-bank exposure dynamics is systemically desirable, while the entire system benefits more from the central clearing in more homogeneous environments. Policymakers should incentivize individual clearing members to enhance resiliency and stability in counterparty exposure management to maximize netting efficiency under central clearing.     

Personalized goal-based investing via multi-stage stochastic goal programming

In this paper, we propose a goal-based investment model that is suitable for personalized wealth management. The model only requires a few intuitive inputs such as size of wealth, investment amount, and consumption goals from individual investors. In particular, a priority level can be assigned to each consumption goal and the model provides a holistic solution based on a sequential approach starting with the highest priority. This allows strict prioritization by maximizing the probability of achieving higher priority goals that are not affected by goals with lower priorities. Furthermore, the proposed model is formulated as a linear program that efficiently finds the optimal financial plan. With its simplicity, flexibility, and computational efficiency, the proposed goal-based investment model provides a new framework for automated investment management services.