• Journal of Distribution Science
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• v.21 no.10
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• pp.63-75
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• 2023

Purpose: This research delves into the relationship between self-leadership and procrastination behavior in banking distribution networks. Based on the self-determination theory, the study explores how organizational commitment mediates the relationship between these variables. Moreover, the research considers the vital role that intrinsic motivation plays in enhancing and reinforcing these connections. Research design and methodology: Using data from 384 bank employees and partial least squares structural equation modeling, the research found evidence to support the theory. This methodological approach enabled the investigation to uncover the intricate links between self-leadership, procrastination behavior, organizational commitment, and intrinsic motivation. Results: The findings strongly support the hypotheses, indicating a negative association between self-leadership and procrastination behavior at the workplace; conversely, a positive correlation was found between self-leadership and organizational commitment. The discovery further strengthens the results that intrinsic motivation amplifies the positive relationship between self-leadership and organizational commitment. Conclusions: This research underscores the importance of cultivating a culture of self-leadership among banking distribution network employees. By doing so, procrastination can be substantially reduced, enhancing both productivity and overall performance. The study's insights are particularly valuable for organizational leaders in the banking sector, as they provide actionable pathways to foster a more committed, motivated, and efficient workforce.

• Journal of Distribution Science
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• v.22 no.1
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• pp.13-23
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• 2024

Purpose: Within the ever-changing realm of modern e-commerce, this study delves into the complex effects of factors like performance expectations, ease of use, social influence, favorable conditions, and enjoyment perception on users' intentions and usage patterns in online marketplace apps. The research centres on Tokopedia app users in Denpasar City, encompassing a wide and varied demographic. Methods: Utilizing a non-probability sampling method, 200 participants were selected for extensive data collection through surveys. Subsequent rigorous analysis of the gathered data was performed using Structural Equation Modeling-Partial Least Squares (SEM-PLS) techniques. Results: This study aims to contribute substantially to theoretical and practical knowledge regarding marketplace app usage. Theoretical contributions involve enhancing the marketing domain, especially in digital marketing, by revealing the intricate factors influencing user conduct in online marketplaces. From a practical standpoint, this research provides valuable insights for entrepreneurs aspiring to join or improve their positions in the Tokopedia app market. Conclusion: Based on the study, we suggest optimising online shopping apps for a more appealing and user-friendly interface. Enhancing the enjoyment and simplicity of finding desired products can prompt heightened usage of online shopping services, thereby reinforcing distribution management strategies and overall market presence.

• Journal of the Korean Operations Research and Management Science Society
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• v.29 no.3
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• pp.9-21
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• 2004

Semiconductor industry is the one whose supply chain network is distributed all over the world. And it has different characteristics with other manufacturing industries as reentrancy, binning, substitution. In this paper, we suggest supply chain models for the semiconductor industry, consisting of production and distribution chains, where manufacturing characteristics are considered. Three policies for the production chain and two policies for the distribution chain are suggested and formulated mathematically. Six combination policies are tested for the evaluation of performances with example. It is shown that the supply chain is operated, if production and distribution are coordinated and managed based on the demand information, without inventory, as efficiently as the chain with inventory.

• Journal of Distribution Science
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• v.22 no.4
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• pp.1-10
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• 2024

Purpose: This study is aimed to introduce the application of phantom approach with structural equation modelling method for online learning. By integrating these innovative methodologies, the research seeks to advance the understanding of how the phantom approach can effectively complement and augment structural equation modeling techniques. Research design, data and methodology: A theoretical framework of Technology Acceptance Model (TAM) was modified and updated. A questionnaire was developed and used to extract information from 189 instructors who used online learning as their primary medium. The Covariance Based Structural Equation Modelling (CBSEM) was applied to test the direct effects and the phantom approach is used to handle the 2 mediators in the model. Results:social influence, perceived usefulness, and perceived ease of use exerted discernible impacts on instructors' intentionsto engage in online learning. These findings illuminate the intricate dynamics influencing instructor behavior within the realm of online education, underscoring the significance of various factors in shaping their intentions. Conclusions: In additions, the perceived usefulness and perceived ease of use had mediated the effect of social influence and instructor intention using phantom approach. Therefore, one can have concluded that this modified model was also confirmed, thereby reinforcing distribution strategies to online learning and overall education presence.

• Archives of design research
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• v.13 no.1
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• pp.227-235
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• 2000

From environmental point of view, the foreign exchange crisis has motivated the Government to make the positive promoting policy for holding the foreign currency, leading to a series of small companies' bankruptcy due to foreign distribution companies' advance into our country, creating a new consuming culture. Though inaugurations have been vividly in progress in the aftermath of recession, reduced staffs and arranged layoff, their way gives priority to the reduced frame of the existing method rather tham the development or improvement of a new distribution. It is difficult to attain the sales goal unless a marketing analysis is not properly made, due to store managers' lack in expertism of management. In view of culture, the change of retail stores is imperative at the point that the type of consumers' purchase is rapidly changing and a more positive business system is needed. preventing an opportunistic loss of management through the analysis of outcome such as consumer management, sales management and account management by using computers. In view of design. the display in sale is to interpret products more charmingly, and should make interpretation accurately by selecting an important theme. For this, taking the store for valuables for instance. the progress on the effective foundation and store dinic business by presenting the design blue print can be made, and the strategy coping with the foreign distribution market's rush into Korea can be established. through the advanced store management.

• Journal of applied mathematics & informatics
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• v.41 no.2
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• pp.449-468
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• 2023

This paper deals in the study of the estimation of the parameters of Erlang distribution based on rank set sampling and some of its modifications. Here we considered Maximum Likelihood (ML) and the Bayesian technique to estimate the shape and scale parameter of Erlang distribution based on RSS and its some modifications such as ERSS, MRSS, and MRSSu. The derivation for unknown parameters of Erlang distribution is well presented using normal approximation to the asymptotic distribution of ML estimators. But due to the complexity involves in the integral, the Bayes estimator of unknown parameters is obtained using MCMC method. Further, we compared the MSE of estimation in different sampling schemes with different set sizes and cycle size. A real-life data application is also given to illustrate the efficiency of the proposed scheme.

• Journal of Biosystems Engineering
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• v.34 no.3
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• pp.183-189
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• 2009

Environmental conditions may cause the quality change of fruits during distribution after harvest. In order to prevent the damage or quality change of fruits for distribution, the characteristic of fruits affected by the environmental conditions such as temperature, humidity under various distribution conditions should be known. This research was performed to analyze how the environmental conditions affect the factors such as weight loss rate and ethylene production of the peach under several distribution conditions. Environmental conditions of the actual distributed route were evaluated and the data obtained from the conditions were used for the simulated environmental tests. Regression models of the weight loss rate and the ethylene production of peach were developed and used in predicting peach quality. The weight loss rate of the peach estimated by the ASHRAE data was shown the higher value on the transportation temperature condition than on the low and room temperature conditions. The weight loss rate and the ethylene production of the peach on the simulated distribution conditions were measured and the measured weight loss rate of peach was the smaller than the theoretically estimated one. The regression models of the weight loss rate and the ethylene production were developed respectively.

• Journal of Information Management
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• v.43 no.3
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• pp.43-59
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• 2012

We established economic models for economic performance analysis in order to respond to changes in a rapidly changing environment. We tried to maximize business efficiency and performance of science and technology information management distribution project. The science and technology information management distribution project is significantly different from general R&D project. In this paper, it is meaningful to develop economic models to analyze economic outcomes for science and technology information management distribution project. We anticipate that these models will contribute greatly to economic performance analysis for science and technology information management distribution project.

• Journal of Korea Society of Digital Industry and Information Management
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• v.6 no.4
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• pp.33-43
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• 2010

In this paper, we propose a floral scent recognition using odor sensors and a odor display using odor distribution system. Proposed odor recognition has method of correlation coefficient between sensors that select optimal sensors in floral scent recognition system of selective multi-sensors. Proposed floral scent recognition system consists of four module such as floral scent acquisition module, optimal sensor decision module, entropy-based floral scent detection module, and floral scent recognition module. Odor distribution system consists of generation module of distribution information, control module of distribution, output module of distribution. We applied to floral scent recognition for performance evaluation of proposed sensors decision method. As a result, application of proposed method with floral scent recognition obtained recognition rate of 95.67% case of using 16 sensors while applied floral scent recognition system of proposed sensor decision method confirmed recognition rate of 96% using only 8 sensors. Also, we applied to odor display of proposed method and obtained 3.18 thorough MOS experimentation.

• Journal of Distribution Science
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• v.20 no.7
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• pp.97-105
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• 2022

Purpose: This study aims to analyze and prove the effect of logistic capability and Total Quality Management practices on Micro, Small and Medium Enterprises (SME) performance directly or mediated by non-financial performance. Research design, data and methodology: This study tested the hypothesis using Hierarchical multiple regression analysis, the method of data collection in this study was using questionnaire, the sampling technique was purposive sampling technique, with SME that has been established for more than 5 years and manufacturing. The data analyzed were 180 respondents using SPSS 25. Results: The findings showed that logistic capability has direct and indirect effects on SME financial performance and has a positive effect on SME financial performance mediated by non-financial performance. While the total quality management practices have a positive effect on SME financial performance mediated by non-financial performance. Thus, companies can achieve maximum financial performance if they invest in developing employee knowledge and concerning on non-financial actions, such as employee satisfaction, innovation and proactively seeking market opportunities. Conclusions: In conclusion, one of the main factors that companies need to consider to improve financial performance is non-financial performance in mediating the effect of logistic capability and TQM practices on the financial performance of SMEs.