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.     

Leveraging ideas from user innovation communities: using text‐mining and case‐based reasoning

User innovation communities, where end users voluntarily share their ideas about new products or services, have become an important source of innovation. While efforts have been made to extract and develop ideas from these sources, existing studies have largely focused on company‐led efforts to facilitate user participation, rather than on voluntary user discussions within communities themselves. As a remedy, this research proposes to directly target those voluntary ideas from user innovation communities for product/service innovation. Because quantities of textual information within these communities are rather massive, we propose a modified and integrated approach of text‐mining (TM) and case‐based reasoning (CBR). Specifically, by constructing two casebases on ideas and existing products using TM and checking for overlap between the two using CBR, the approach enables the identification of opportunities for innovation and reference products for adaptation. We demonstrate the approach through a case of mobile apps in Apple App Store, and our findings suggest that the approach can help firms and users/developers broaden the source of ideas and leverage them into new product concepts.     

Does Congruence with an Entrepreneur Social Identity Encourage Positive Emotion Under Environmental Dynamism?

Entrepreneurial identities and emotions can have profound effects on entrepreneurs. We examine how positive emotion (PE) among entrepreneurs may be influenced by the congruence they experience between their self‐concept and the entrepreneur social identity. Given that uncertainty in the business environment can exert powerful effects throughout the entrepreneurial process, we further test the moderating impact of environmental dynamism on the relationship between identity congruence and PE. Results from a study of 175 entrepreneurs indicate that entrepreneurs experiencing greater congruence have higher levels of PE, and that this relationship is stronger in more dynamic environments.     

The price of going green: the role of greenness in green bond markets

In this paper, we empirically investigate how greenness information is priced in the green bond market. Our comparison of liquidity-adjusted yield premiums of green bonds versus synthetic conventional bonds indicates that, on average, there is no robust and significant yield premium or discount on green bonds. However, green bonds certified by an external reviewer enjoy a discount of about 6 bps. Furthermore, green bonds that obtain a Climate Bonds Initiative certificate show a discount of around 15 bps. The findings suggest that a universally accepted greenness measure can benefit the development of the green bond market.     

New development: Fiscal reform in South Korea: looking back and moving forward

ABSTRACT

At first glance, it seems that South Korea’s three fiscal systems (mid-term expenditure framework, top-down budgeting, and performance management) function well. However, each fiscal system operates separately and they are inefficient because they follow past practices. This article explains what the problems are and how to overcome them.     

YouTubers’ networking activities during the 2016 South Korea earthquake

While YouTube has become an important social networking platform for risk and crisis communications, research into its role and use during environmental disasters has not been conducted. The present study investigates how Korean YouTubers reacted during the 2016 Gyeongju earthquakes. Two kinds of data were collected from the most popular YouTube clips on the earthquake (from AfreecaTV and YonHap news): the most frequently used words in the replies to the comments and the networked forums among YouTubers. Findings suggest that YouTube has become a channel for quickly increasing public awareness of crises and for promoting safety strategies. InDegree Centralization is higher in professional videos. Hierarchy measure’s value is one, which means the reply-to network is not two-way. There is sparse close-knittedness in amateur videos. Community clusters emerge in amateur videos over time. The results also reveal that YouTubers on AfreecaTV are more likely to express emotional opinions than their counterparts on YonHap news are.     

Changes in analysts’ stock recommendations following regulatory action against their brokerage

Review of Accounting Studies - Despite the importance of sell-side analysts in the capital markets, we know little about the effectiveness of routine monitoring of the sell-side industry. We...     

Varying Coefficient Regression Models: A Review and New Developments

Varying coefficient regression models are known to be very useful tools for analysing the relation between a response and a group of covariates. Their structure and interpretability are similar to those for the traditional linear regression model, but they are more flexible because of the infinite dimensionality of the corresponding parameter spaces. The aims of this paper are to give an overview on the existing methodological and theoretical developments for varying coefficient models and to discuss their extensions with some new developments. The new developments enable us to use different amount of smoothing for estimating different component functions in the models. They are for a flexible form of varying coefficient models that requires smoothing across different covariates' spaces and are based on the smooth backfitting technique that is admitted as a powerful technique for fitting structural regression models and is also known to free us from the curse of dimensionality.     

Depreciation of Business R&D Capital

We develop a forward-looking profit model to estimate the depreciation rates of business R&D capital. By using U.S. government data between 1987 and 2007, and the newly developed model, we estimate both constant and time-varying industry-specific R&D depreciation rates. The results comprise a set of R&D depreciation rates for major U.S. high-tech industries. They align with the main conclusions from recent studies that the rates are in general higher than the traditionally assumed 15 percent and vary across industries. The relative ranking of the constant R&D depreciation rates among industries is consistent with industry observations and the industry-specific time-varying rates are informative about the dynamics of technological change and the levels of competition across industries. Lastly, we also present a cross-country comparison of the R&D depreciation rates between the U.S. and Japan, and find that the results reflect the relative technological competitiveness in key industries.     

Does local political support influence financial markets? A study on the impact of job approval ratings of political representatives on local stock returns

Using data on job approval ratings of governors, U.S. senators, and the president, we find that firms located in states with high approval ratings outperform firms located in states with low approval ratings by .64% per month. Furthermore, this relationship is stronger when investors are actively involved in politics, when local politicians are closer to the center of political power, for small firms that have a larger proportion of local investors, and for financially strong areas where investors are ready to execute investments in local stocks. Overall, our study shows that investors’ political sentiment is important in determining stock returns.