• 유통과학연구
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• 제13권10호
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• pp.57-63
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• 2015

Purpose - This study investigates the effects consumer perceptions of wine attributes have on repurchase intention. It examineshow wine purchase channels (online or offline) influence perceptions about wine attributes and repurchase intention. Research design, data, and methodology - A total of 390 responses from Florida residents over 21 were collected using online surveys. Responses were analyzed using exploratory factor analysis to identify the underlying wine attribute factors. Multiple regression and multi-group analysis were employed to test the hypotheses. Results - Results revealed that consumer perceptions of wine attributes (sensory, origin, reputation, and price point) significantly influence their repurchase intention. Additionally, the effects of wine attributes on repurchase intentions were found to be significantly different based on the channel used. Findings indicated that wine attributes pertaining to reputation and price point strongly influenced repurchase behavior of online consumers, while offline wine consumers were influenced more by sensory and origin attributes. Conclusions - Study findings provide useful information for wine industry sales channels for developing new marketing strategies to effectively attract wine consumers to repurchase wine.

• Asian Journal of Business Environment
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• 제7권4호
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• pp.35-41
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• 2017

Purpose - This paper aims to examine several time series models to predict sales of department stores and discount store markets in South Korea, while other previous trial has performed sales of convenience stores and supermarkets. In addition, optimal predicted values on the underlying model can be got and be applied to distribution industry. Research design, data, and methodology - Two retailing types, under investigation, are homogeneous and comparable in size based on 86 realizations sampled from January 2010 to February in 2017. To accomplish the purpose of this research, both ARIMA model and exponential smoothing methods are, simultaneously, utilized. Furthermore, model-fit measures may be exploited as important tools of the optimal model-building. Results - By applying Holt-Winters' additive seasonality method to sales of two large-scale retailing types, persisting increasing trend and fluctuation around the constant level with seasonal pattern, respectively, will be predicted from May in 2017 to February in 2018. Conclusions - Considering 2017-2018 forecasts for sales of two large-scale retailing types, it is important to predict future sales magnitude and to produce the useful information for reforming financial conditions and related policies, so that the impacts of any marketing or management scheme can be compared against the do-nothing scenario.

• 유통과학연구
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• 제14권9호
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• pp.15-24
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• 2016

Purpose - Key account management is a supplier company initiated relational approach that has received great attention from both academics and practitioners manifested in the business-to-business relationship literatures. However, there is widespread debate and contention on what should be the underlying theoretical base for defining this vital part of relationship marketing. With the insights from the social exchange theory, present paper explores how social exchange affects the dynamic nature of key account management relationship at the organizational level. Research design, data, and methodology - The paper follows a comprehensive review approach to examine the relationship between social exchange theory and key account management approach. Conceptual arguments and findings are assessed across studies with the main objective of showing how social exchange theory develops the governance mechanism in maintaining the key account relationship. Results - Since relational norm is considered as a glue for the maintenance of buyer-seller relationship in social exchange theory, factors develop the non-contractual governance mechanism 'relationship' in business-to-business relationship and this norm replaces or supplements more formal governance mechanisms such as contracts are explored. Conclusions - This paper advances central relational norm to manage the company's most important key customers and demonstrates how this norm can be developed in buyer-seller key account relationship. Implications from this new perspective are forwarded.

• 대한산업공학회지
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• 제26권3호
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• pp.193-199
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• 2000

In many studies, considerable attention has been focussed upon choosing a model which represents underlying process of time series and forecasting the future. In the real world, however, there may be some cases that one model can not reflect all the characteristics of original time series. Under such circumstances, we may get better performance by combining the forecasts from several models. The most popular methods for combining forecasts involve taking a weighted average of multiple forecasts. But the weights are usually unstable. In cases the assumptions of normality and unbiasedness for forecast errors are satisfied, a Bayesian method can be used for updating the weights. In the real world, however, there are many circumstances the Bayesian method is not appropriate. This paper proposes a PNN(Probabilistic Neural Net) approach as a method for combining forecasts that can be applied when the assumption of normality or unbiasedness for forecast errors is not satisfied. In this paper, PNN method, which is similar to Bayesian approach, is suggested as an updating method of the unstable weights in the combination of the forecasts. The PNN method has been usually used in the field of pattern recognition. Unlike the Bayesian approach, it requires no assumption of a specific prior distribution because it gets probabilities by using the distribution estimated from given data. Empirical results reveal that the PNN method offers superior predictive capabilities.

• 농촌계획
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• 제16권2호
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• pp.57-64
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• 2010

This study aims to understand the degree of inequality of surveyed amenity resources and identify which resource and region have the highest concentration by estimating Lorenz Curve and the Gini's Coefficient. The Lorenz Curve and Gini's Coefficient derived from economics are introduced as tools for investigating and quantifying regional variability of amenity resources concentration. This study describes the concepts underlying the application of the Gini's coefficient to measure the concentration of amenity resources in 11 regions, Chungbuk Province, Korea. The Lorenz Curve presents a graphical view of the cumulative distribution of amenity resources and the Gini's Coefficient provides a single-parameter measure of the distributional concentration of amenity resources. Also the Gini's Coefficient is compared to the number of amenity resource for understanding distributional difference between concentration and quantitative distribution of amenity resources. The results demonstrate significantly different regional variation according to the amenity variables: almost intact nature, interaction between nature and man, man-made.

• 대한원격탐사학회지
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• 제1권1호
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• pp.5-27
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• 1985

A hill-sliding technique was devised to extract Gaussian clusters from the multivariate probability density estimates of sample data for the first step of iterative unsupervised classification. The underlying assumption in this approach was that each cluster possessed a unimodal normal distribution. The key idea was that a clustering function proposed could distinguish elements of a cluster under formation from the rest in the feature space. Initial clusters were extracted one by one according to the hill-sliding tactics. A dimensionless cluster compactness parameter was proposed as a universal measure of cluster goodness and used satisfactorily in test runs with Landsat multispectral scanner (MSS) data. The normalized divergence, defined by the cluster divergence divided by the entropy of the entire sample data, was utilized as a general separability measure between clusters. An overall clustering objective function was set forth in terms of cluster covariance matrices, from which the cluster compactness measure could be deduced. Minimal improvement of initial data partitioning was evaluated by this objective function in eliminating scattered sparse data points. The hill-sliding clustering technique developed herein has the potential applicability to decomposition of any multivariate mixture distribution into a number of unimodal distributions when an appropriate diatribution function to the data set is employed.

• Communications for Statistical Applications and Methods
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• 제28권5호
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• pp.477-491
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• 2021

The Markov modulated Brownian motion is a substantial generalization of the classical Brownian Motion. On the other hand, the Markovian arrival process (MAP) is a point process whose family is dense for any stochastic point process and is used to approximate complex stochastic counting processes. In this paper, we consider a superposition of the Markov modulated Brownian motion (MMBM) and the Markovian arrival process of jumps which are distributed as the bilateral ph-type distribution, the class of which is also dense in the space of distribution functions defined on the whole real line. In the model, we assume that the inter-arrival times of the MAP depend on the underlying Markov process of the MMBM. One of the subjects of this paper is introducing how to obtain the first passage probabilities of the superposed process using a stochastic doubling algorithm designed for getting the minimal solution of a nonsymmetric algebraic Riccatti equation. The other is to provide eigenvalue and eigenvector results on the superposed process to make it possible to apply the GTH-like algorithm, which improves the accuracy of the doubling algorithm.

• 산경연구논집
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• 제12권10호
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• pp.7-17
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• 2021

Purpose: Studies on social exclusion from a sensory perspective are rather limited in state-of-the-art literature, especially in exploring the relationship between social exclusion and shape preference from a sensory marketing perspective. The present study aims to explore the effect of social exclusion on consumers' shape preference (angular vs. rounded) and the underlying mechanism. Research design, data and methodology: The relationship between social exclusion and consumers' shape preference was investigated in Study 1 using a one-way between-subject design (being excluded vs. being included), and the mediation effect of sense of control has been examined in Study 2 via a between-subjects design (being excluded vs. being included) ×2 (angular vs. rounded). Both studies were conducted on the Credamo data platform in China, and evaluated by one-way ANOVA. Results: The results showed socially excluded consumers prefer the product with angular design rather than socially included consumers, and this effect can be mediated by sense of control. Conclusions: This paper contributes academically for investigating the research area of the sense of control and explores the influence of the control needs of humans on consumer behaviors. Furthermore, it also clarifies new potential psychological role of shape preference - the recovery of the sense of control - to enrich the psychological mechanisms of shape preference.

• 산경연구논집
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• 제13권12호
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• pp.23-31
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• 2022

Purpose: This research is to answer the following research questions because of the importance of learning how retired businesspeople increase their financial security and quality of life. (1) how does an entrepreneur contribute to economic development? (2) what types of investments are performed by businesspeople after retirement? (3) how entrepreneurial financial attainment capacity and anticipated net income after retirement are related? Research design, data and methodology: This research has conducted the qualitative analysis (QCA) using the current literature review. In the traditional positivist research paradigm, the quality of research is evaluated based on issues of validity, reliability, and objectivity. Contrary to the positivist approach, QCA focuses on the underlying meaning of the data. Results: This research found that finance management is increasingly challenging for businesspeople. The solutions based on the literature investigation suggest four categories. (1) Planned spending and revenue allocation, (2) Investing in the stock market, (3) Create a culture of saving, (4) Get Informed. Conclusions: This research puts forth a model to describe the connection between an investor's financial achievement potential and their desired net profits in retirement. The results of this study support the idea that the ability to achieve financial success as an entrepreneur has a salutary effect on the amount of money saved for retirement.

• The Journal of Asian Finance, Economics and Business
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• 제9권3호
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• pp.203-215
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• 2022

Bayesian Networks are multivariate probabilistic factor graphs that are used to assess underlying factor relationships. From January 2005 to December 2018, the study examines how Dynamic Bayesian Networks can be utilized to estimate portfolio risk and return as well as determine inter-factor relationships among reversal profit-generating components in Pakistan's emerging market (PSX). The goal of this article is to uncover the factors that cause reversal profits in the Pakistani stock market. In visual form, Bayesian networks can generate causal and inferential probabilistic relationships. Investors might update their stock return values in the network simultaneously with fresh market information, resulting in a dynamic shift in portfolio risk distribution across the networks. The findings show that investments in low net profit margin, low investment, and high volatility-based designed portfolios yield the biggest dynamical reversal profits. The main triggering aspects related to generation reversal profits in the Pakistan market, in the long run, are net profit margin, market risk premium, investment, size, and volatility factor. Investors should invest in and build portfolios with small companies that have a low price-to-earnings ratio, small earnings per share, and minimal volatility, according to the most likely explanation.