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Revenue diversification interacting with form of government that has different management behaviors may produce a variation in the level of public spending. The purpose of this paper is to understand how revenue diversification interacts with form of government in determining the level of public spending.

A cross-sectional research design with the analysis of interaction effects was employed in order to achieve this research objective. Drawing from the economic and financial management perspectives on revenue diversification, this study proposes the following hypotheses: in the council-manager form, greater revenue diversification leads to less spending; in the mayor-council form, greater revenue diversification leads to more spending; and mayor-council governments with diversified revenues spend more than council-manager governments.

The regression results support the second and third hypotheses, but not the first hypothesis.

This study offers a robust link between revenue diversification and form of government by examining how their interaction produces a variation in the level of public spending.

This paper presents a pop-up technique based on origamic architecture as a technological design solution for post-disaster temporary shelter systems. First of all, the concepts of disaster and post-disaster are briefly introduced, and the roles and needs of post-disaster temporary shelter systems, particularly in emergency periods, are reviewed. Second, pop-up techniques based on origamic architecture are briefly discussed. Third, a formal language for opening the cards of origamic architecture is introduced, out of which a geometric elasticity has been developed. With the language, a variety of flexible and expandable designs for shelter structures can be generated by incorporating different pop-up techniques. Finally, a prototype shelter has been constructed to demonstrate the adaptability and sustainability of the shelter within the local environment and the affected society, considering portability, low-cost, and easy in assembling by any unskilled person.

The purpose of this paper is to identify the present structure of the Korean disaster-safety industry and propose ways to promote it.

The background of the emergence of the disaster and safety industry in Korea is reviewed, and business networks of 91 companies belonging to the disaster and safety industry in Korea are identified and analysed through a network analysis.

Korean Government is struggling to nurture the disaster and safety industry as it has been on last few decades. This paper finds that the current industry has an ambiguous market structure, and the industry tends to depend highly on the demand of public institutions.

The concept of the disaster and safety industry is not well established in other countries except for Korea. If Korea successfully fosters its disaster and safety industry through its proper understanding, it would bring both disaster risk reduction and economic benefits.

This paper analyses the market structure of the disaster and safety industry, which is uniquely emerging in Korea and rarely designated as an industry in other countries.

This chapter studies the dynamic responses of the conditional quantiles and their applications in macroeconomics and finance. The authors build a multi-equation autoregressive conditional quantile model and propose a new construction of quantile impulse response functions (QIRFs). The tool set of QIRFs provides detailed distributional evolution of an outcome variable to economic shocks. The authors show the left tail of economic activity is the most responsive to monetary policy and financial shocks. The impacts of the shocks on Growth-at-Risk (the 5% quantile of economic activity) during the Global Financial Crisis are assessed. The authors also examine how the economy responds to a hypothetical financial distress scenario.

Applied a hybrid approach using genetic algorithms (GAs) for a case-based retrieval process in order to increase the overall improved cost accuracy for a case-based library. The paper aims to discuss this issue.

A weight optimization approach using case-based reasoning (CBR) with proposed GAs for developing the CBR model. GAs are used to investigate optimized weight generation with an application to real project cases.

The proposed CBR model can reduce errors consistently, and be potentially useful in the early financial planning stage. The authors suggest the developed CBR model can provide decision-makers with accurate cost information for assessing and comparing multiple alternatives in order to obtain the optimal solution while controlling cost.

The system can operate with more accuracy or less cost, and CBR can be used to better understand the effects of factor interaction and variation during the developed system’s process.

This study aims to investigate the effect of abusive supervision on employees’ creativity through the mediating role of job insecurity and the moderating role of subordinate gender in Indonesia.

Data were collected from various sources using online recruitment methods. The abusive supervision scale, job insecurity scale and employee creativity scale were the three measures in this study. Participants completed a three-wave data collection procedure using an online survey platform. After removing participants with incomplete and careless responses, the final data set contained 515 usable responses.

The results suggested that the negative effect of abusive supervision on employees’ creativity was mediated by job insecurity, and employees’ gender moderated this adverse effect. Gender roles shaped how employees respond to their leader’s hostile behaviours. In Indonesia, abusive supervision increased employees’ job insecurity and consequently reduced their creativity. However, the damage was more profound for the male employees than the female employees.

Gender role theory and perspectives are essential in explaining leader–employee interactions and must be included in leadership strategies. Also, support and resources must be provided equally for both male and female employees. However, more attention must be given to male employees to ensure their security working in organisations. Finally, some interventions are necessary to mitigate the effect of abusive supervision.

This study offers insight into how male and female employees, in a traditional gender role culture like Indonesia, respond to their leader’s abusive behaviours.

This paper aims to identify consumer preferences before Dongchimi products are commercialized and brought to the market. It provides basic data for research and development of Dongchimi products, examining consumer preferences for general products and purchase intentions based on eating-out behavior, dietary lifestyle and demographic characteristics. Finally, the study examined male and female consumers more than 18 years old who have eaten Dongchimi, particularly their consumption behavior.

This study was based on preliminary in-depth interviews of consumers to investigate consumer Dongchimi consumption behavior. The authors examined their demographic characteristics, dining-out behavior, dietary lifestyles, how often they buy pickled products and the circumstances in which they consume Dongchimi products. Various statistical analyses were performed with SPSS 18.0, including frequency analysis of the general characteristics of subjects, chi-square test for difference verification as well as factor analysis and cluster analyses.

More than half of the respondents eat Dongchimi products only once or twice every six months or once or twice a year. Consumers prefer Dongchimi’s glass bottle packaging with two to three servings of white radish, the original version of Dongchimi. Furthermore, cross-analysis comparing purchase intentions of Dongchimi products among clusters revealed significant differences (χ2 = 212.58, df = 2, p < 0.001). The group most concerned with taste and diet showed 100 per cent purchase intention. However, the group most interested in convenience showed only 50 per cent purchase intention for Dongchimi products. The group primarily concerned with health showed little intention to purchase.

Food scholars have investigated consumption behaviors of domestic consumers in developing kimchi products, but research on Dongchimi is lacking, especially of consumption behaviors by actual consumers. Using certain determinants (marital status, expense of dining out, frequency of buying pickled products and food-related lifestyle), the authors analyzed the purchasing intentions of consumers of Dongchimi products. The results show that married consumers who spend heavily on dining out and purchase pickled foods frequently, but who are also concerned about taste and diet, were those with the highest intention to purchase Dongchimi products.

The purpose of this paper is to outline a framework for marketing cultural goods (e.g. music) to global markets by examining modes of entry and positioning strategies used by media producers of the South Korean music industry.

An historic analysis was implemented to investigate the modalities and structures through which cultural products are produced and disseminated. Data for this study came from 314 articles collected from www.allkpop.com, a leading English-language, South Korean popular culture news site.

The cultural technology framework consists of the institutionalization of cultural technology, exportation of cultural content, collaborations with local talent, and joint ventures with local markets.

The findings emerge from an analysis of South Korean popular music industries, and further research is needed to generalize the results across cultural industries.

The cultural technology framework can be applied to cultural industries such as music, film, comics, and art, where culture and language could be barriers to adoption.

This study outlines a framework for the modes of entry and positioning strategies of cultural goods (e.g. music) in international markets. Extant literature has examined global marketing from the purview of durable consumer goods and brands, with limited insights into cultural products. More broadly, this paper addresses the call for more qualitative inquiry into international marketing topics.

Accurate and timely cost prediction is critical to the success of construction projects which is still facing challenges especially at the early stage. In the context of rapid development of machine learning technology and the massive cost data from historical projects, this paper aims to propose a novel cost prediction model based on historical data with improved performance when only limited information about the new project is available.

The proposed approach combines regression analysis (RA) and artificial neural network (ANN) to build a novel hybrid cost prediction model with the former as front-end prediction and the latter as back-end correction. Firstly, the main factors influencing the cost of building projects are identified through literature research and subsequently screened by principal component analysis (PCA). Secondly the optimal RA model is determined through multi-model comparison and used for front-end prediction. Finally, ANN is applied to construct the error correction model. The hybrid RA-ANN model was trained and tested with cost data from 128 completed construction projects in China.

The results show that the hybrid cost prediction model has the advantages of both RA and ANN whose prediction accuracy is higher than that of RA and ANN only with the information such as total floor area, height and number of floors.

(1) The most critical influencing factors of the buildings’ cost are found out by means of PCA on the historical data. (2) A novel hybrid RA-ANN model is proposed which proved to have the advantages of both RA and ANN with higher accuracy. (3) The comparison among different models has been carried out which is helpful to future model selection.