• Journal of Families and Better Life
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• v.32 no.4
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• pp.1-22
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• 2014

This study was focused on investigating the factors of the psychological adaptation of grandmothers raising their grandchildren. The Double ABCX family stress model provided the theoretical basis for this study, and the major factors examined in the study included a pile-up of stressors, family resources and social support, appraisal of situation(redefinition of nurturing), and adaptation(depressive mood and happiness). Data were collected by personal interview with 213 grandmothers raising their grandchildren utilizing the questionnaire survey method. Structural equation modeling analyses were performed and the results showed that a pile-up of stressors, the family resources(i.e., contact and emotional solidarity with grandchildren's parents), and the redefinition of nurturing had significant influences on the psychological adaptation of grandmothers raising their grandchildren. It was also found that social support had indirect influence on grandmothers' psychological adaptation. The redefinition of nurturing had the greatest effect on the participants' psychological adaptation, followed by a pile-up stressor, and then the family resources.

• Journal of Distribution Science
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• v.20 no.7
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• pp.73-86
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• 2022

Purpose: Considering the COVID-19 pandemic and the increasing number of online food delivery applications (OFDA), this study aims to assess the distribution of the presence of Indonesian OFDA and to measure the factors that influence the spending habits of OFDA users. Research design, data and methodology: Two hundred and nine OFDA users from Jakarta's Generation Z were surveyed via a questionnaire. The data were analyzed using Structural Equation Modeling and SMART PLS 3.0. Results: OFDAs were introduced into Indonesia in the recent past with varying degrees of popularity determined by the number of downloads. Users' intention to use was not determined by the speed of the introduction of an OFDA. This study also reveals that previous experience of the service, the orientation of time and price savings had a significant effect on spending habits. A moderating role of the saving variable on time and price was not demonstrated. Conclusions: The results of the study suggest that, in COVID-19 pandemic conditions, the spending habits of Generation Z are not based on impulse, thrift, or extravagance. The pandemic shaped specific motivations in spending habits, namely prioritizing need. This study has limitations, including the small sample size and the use of internal variables.

• Asia pacific journal of information systems
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• v.10 no.2
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• pp.71-95
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• 2000

Despite repeated exhortation about the importance of social and human dimensions of systems development, socio-organizational issues continue to be neglected and ignored in the current information systems practice. A review of the human information processing literature suggests that the reasons for this continuing lack of attention to social issues may be found in the limitations of human cognition and information processing capacities. Bostrom and Heinen(1978) and Kumar and Bjorn-Anderson(1990) also suggest that the inadequate attention to social problems and issues by the analyst could originate from the analysts limited problem perception. This research explores how the representation forms of information systems(IS) methodology used in understanding and modeling the problem situation affect such systems development problem perception. Typically, a system development methodology prescribes the use of system models(i.e., system representations) to understand, analyze, evaluate, and design the information system. Given the size and complexity of information systems, and the abstraction and simplification underlying the modeling process, system representations usually depict only a limited set of aspects of the system. Thus, a methodology whose representations are limited to technical aspects will tend to limit the analyst's perspective to a technical one only(Kumar & Welke, 1990). Following the same line of argument, in contrast, it is the conjecture of this study that a methodology which specifies both social and technical aspects of IS development will help the analyst develop a more comprehensive view of the IS problem domain. Based on the above concept, a theoretical model was first developed which explained the systems analysts cognitive process. Drawing on this model, a research model was developed hypothesizing the impacts of representation forms on problem identification. The model was tested using a laboratory experiment with 70 individual subjects. A special computer software was developed with a hypermedia authoring tool to conduct the experiments in order to avoid experimenter biases and to maintain consistency in administrating repeated experiments. The program, designed to replace the experimenter, consisted of functions such as presenting the subjects with problem material, asking the subjects questions, and saving the typed answers of the subjects. The results indicate that representation forms strongly influence problem identification. It was found that the use of the socio-technical representation form led to the findings of more social problems than the use of technical representation form. The results imply significant effects of representation forms on problem findings and also suggest that the use of adequate representation forms may help overcome dysfunctional effects of our limited information processing capacity.

• The Journal of Industrial Distribution & Business
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• v.10 no.8
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• pp.7-15
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• 2019

Purpose - This study aims to examine the influence of social network service (SNS) on the brand image of infant food products; highlight the effects of brand image on the purchasing and word-of-mouth intention; and explore the effects of the purchasing intention on the word-of-mouth intention. Research design, data, and methodology - Based on previous studies, it was found that the fundamental SNS characteristics for infant food products are reliability, interactivity, and informative. Using AMOS 22.0 and structural equation modeling (SEM), 288 questionnaires were surveyed as a statistical method for examining the proposed hypotheses. Results - The analysis shows that reliability and informative have significant impacts on brand image, whereas interactivity does not. Again, the effect of brand image of infant food products on the purchase and word-of-mouth intention is statistically significant. However, the results differ across the "working housewife" and the "full-time housewife" groups. The connection between reliability and brand image was found to be statistically significant in this study. Conclusions - This study analyzes the effects of SNS characteristics on the brand image of infant food products and the effect of the brand image on purchase and word-of-mouth intentions, and provides practical implications for the same.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.41 no.4
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• pp.171-178
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• 2018

Recently, the continuing operation of nuclear power plants has become a major controversial issue in Korea. Whether to continue to operate nuclear power plants is a matter to be determined considering many factors including social and political factors as well as economic factors. But in this paper we concentrate only on the economic factors to make an optimum decision on operating nuclear power plants. Decisions should be based on forecasts of plant accident risks and large and small accident data from power plants. We outline the structure of a decision model that incorporate accident risks. We formulate to decide whether to shutdown permanently, shutdown temporarily for maintenance, or to operate one period of time and then periodically repeat the analysis and decision process with additional information about new costs and risks. The forecasting model to predict nuclear power plant accidents is incorporated for an improved decision making. First, we build a one-period decision model and extend this theory to a multi-period model. In this paper we utilize influence diagrams as well as decision trees for modeling. And bayesian statistical approach is utilized. Many of the parameter values in this model may be set fairly subjective by decision makers. Once the parameter values have been determined, the model will be able to present the optimal decision according to that value.

• Journal of Korean Society for Quality Management
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• v.46 no.4
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• pp.923-938
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• 2018

Purpose: O2O service are becoming popular in various industries such as food delivery and taxi. This research explores how users' motivation of O2O service influence customer loyalty through expectation-confirmation and satisfaction. this study attempts to explore the motivation factor (i.e. pricing, enjoyment, immediately, social influence) and to empirically examine the relationships between those and users' loyalty to O2O service. Methods: To test the proposed research model, a survey research methodology was used. Paper survey was distributed to O2O service users in Korea. A total of 198 data were used for the analysis. Structural equation modeling was used to test hypotheses. Results: According to our findings, this study found that satisfaction was positively influenced by users' motivation factors. all hypotheses about the effect of motivation on expectation-confirmation were statistically not significant. Conclusion: O2O service providers should consider the results of this study to satisfy users' expectations and satisfaction for building a better O2O market.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.3
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• pp.1-10
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• 2021

This study examines the dynamic pattern of the exchange rate volatilities of the ASEAN-5 currencies from January 2006 to August 2020. The exchange rates applied in this study comprise bilateral and effective exchange rates in order to investigate the influence of the US dollar on the stability of the ASEAN-5 currencies. Since a volatility model employed in this study is a natural cubic spline volatility model, the Monte Carlo simulation is consequently conducted to determine an appropriate criterion to select a number of quantile knots for this model. The simulation results reveal that, among four candidate criteria, Generalized Cross-Validation is a suitable criterion for modeling the ASEAN-5 exchange rate volatilities. The estimated volatilities showed the inconstant dynamic patterns reflecting the uncertain exchange rate risk arising in international transactions. The bilateral exchange rate volatilities of the ASEAN-5 currencies to the US dollar are more variable than their corresponding effective exchange rate volatilities, indicating the influence of the US dollar on the stability of the ASEAN-5 currencies. The findings of this study suggest that the natural cubic spline volatility model with the quantile knots selected by Generalized Cross-Validation is practical and can be used to examine the dynamic patterns of the financial volatility.

• Journal of Distribution Science
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• v.20 no.5
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• pp.1-11
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• 2022

Purpose: This study attemptsto investigate the moderating effects of environmental turbulence (ET) between learning orientation (LO) and SMEs' performance. Research design, data, and Methodology: To gain insights and provide implications for manufacturing SMEs in Pakistan, this study adopted simple random sampling to collect 379 valid responses. Data were collected through a self-administrative questionnaire from manufacturing SMEs owners/managers. Partial least squares of structural equation modeling have been used to test research hypotheses by using SmartPLS® 3.0 software. Results: The study's primary finding is that LO has a significantly positive effect on SMEs' performance and this relationship is strengthened under the moderating influence of environmental turbulence (ET). Conclusion: Environmental turbulence (ET) enables SMEs to focus on learning capability to get a more competitive advantage. Moreover, SMEs owner/managers ought to emphasize continuous learning that accentuates the capability to compete with environmental changes. Findings support notifying Pakistan's Small and Medium Enterprise Development Authority (SMEDA) in dealings with Manufacturing SMEs in terms of improving their internal capabilities. This research contributes to the literature as it provides a more detailed and in-depth explanation of distribution management-related issues faced by SMEs. This research carries a significant influence on literature and relevant Resource-based view and contingency theories.

• Journal of the Korean Society of Clothing and Textiles
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• v.47 no.3
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• pp.560-576
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• 2023

Drawing on gamification affordance theory, this study examines the relationships among key affordances of avatar fashion styling, perceived enjoyment, and engagement behavior intentions-defined as the intention to share content on avatars in the metaverse platform-and the moderating role of metaverse familiarity. Based on survey data collected from 198 Korean ZEPETO users with avatar fashion styling experience, the hereby proposed research model was tested with structural equation modeling. The results demonstrated that self-expression and competition positively influenced perceived enjoyment, which subsequently affected customers' engagement behavior intention. Furthermore, metaverse familiarity as a moderating effect intensified the positive association between affordances and perceived enjoyment as well as between perceived enjoyment and engagement behavior intentions. The individual interaction effect of each affordance dimension on perceived enjoyment was different, with self-expression having a greater influence on enjoyment among the high-familiarity group and competition having a greater influence on enjoyment among the low-familiarity group. Considering that users with low metaverse familiarity might have higher needs for social interaction for adaptation, competition, being more socially triggering, might have affected these users more crucially.

• Journal of the Korean Society of Clothing and Textiles
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• v.40 no.5
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• pp.879-893
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• 2016

This study explores the determinants of clothing disposition and examines their effect on the dimensions of clothing disposition behavior. The data of 316 women were collected nationwide using an online self-administered questionnaire. This study initially identified five types of disposition behavior as revising, permanent separation, giving away, selling, and donating to charity. Exploratory and confirmative factor analysis identified the underlying determinants of clothing disposition as self-concept, reusability, economic factor, social environment, affective association, storage, fashionableness, and a sense of belongingness. Structural equation modeling was conducted to examine the relationships between variables. The results demonstrated that six out of eight determinants significantly affected clothing disposition behavior. The effects of social environment and a sense of belongingness were relatively strong determinants that influenced the four types of disposition behaviors. However, self-concept and affective association did not influence the disposition behaviors. A series of one-way MANOVA was conducted to determine the effect of the eight demographic variables on the four modes of clothing disposition. Giving away, permanent separation, and donating to charity differed significantly in the groups of three demographic variables such as age, monthly income, and marital status. This study empirically elucidates what criteria consumers use when confronted with unused clothing and how the determinants of clothing disposition influence the modes of clothing disposition behavior. This study provides a framework for clothing disposition behavior and its determinants as well as suggests a new approach to clothing disposition behavior and improvements in marketing decisions.