• IE interfaces
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• v.13 no.3
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• pp.438-443
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• 2000

In this paper, we suggest a new backorder policy for stockout which is occurred in each regional distribution centers of distribution chain for capital-goods product. In backorder process of backorder policy, minimize expected stockout through the balancing-division module, and has occured stockout is backordering through the emergency supply from central distribution center and regional distribution center. Simulation tests show that our backorder policy is on the decrease of backorder cost and improvement of customer service. Our backorder policy has two important benefit. First, customer service level is improved by realization of minimum stockout. Second, the backorder process by allowance of the same level supply is to decrease system operating cost.

• Journal of Korean Institute of Industrial Engineers
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• v.34 no.4
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• pp.425-432
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• 2008

While the Vendor-Managed Inventory(VMI) is a convenient inventory replenishment policy for the customer company, the supplier usually bears the burden of higher inventory and urgent shipments to avoid shortage. Recently some manufacturers begin to fix the production schedule for the next few days (such as three days). Utilizing that information can improve the efficiency of the VMI. In this study, we present a myopic optimization model using a mixed inter programming; and a heuristics algorithm. We compare the performance of the two proposed methods with the existing (s, S) reorder policy. We consider the total cost as the sum of transportation cost and inventory cost at the customer's site. Numerical tests indicate that the two proposed methods significantly reduce the total cost over the (s, S) policy.

• Journal of Digital Policy
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• v.2 no.1
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• pp.21-30
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• 2023

Current research and practice have increasingly sought to focus on approaches to facilitate innovation due to its expanding growth of the experience economy over the past decade. Normally, customer experience design aims to maximize the effectiveness of positive experience with a brand or company's touchpoints when customers make a purchase as well as use a certain product or service. In order to design a product or service that can provide varying levels of experiences, there needs more beneficial design process strategies to help resolve the changing nature of customer experience. Design process is one such approach that provides designers as well as researchers across various academic disciplines as an integral source of creativity, driving innovation and growth. In this regard, this study aims to look specifically at the nature of customer experience and attempts to understand what extent that design process in both practice and theoretical perspective can assist in customer experience improvement. As a further consequence, this study will focus on implementing the idea of circular design into the customer experience process, namely the Circular CX Design Process-which is expected to increase effectiveness and efficiency in addressing customer needs and demands as well as delivering positive experiences at various touchpoints along the customer journey.

• Journal of Digital Convergence
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• v.13 no.6
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• pp.125-132
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• 2015

It is current situation that a number of issues are being raised how the weight is calculated from customer satisfaction survey. This study investigated how the weight of satisfaction for each quantile is different by comparing ordinary least square regression model to quantile regression model and carried out bootstrap verification to find the influence difference of regression coefficient for each quantile. As the analysis result of using R(Quantreg package) that is open software, it appeared that there was the influence size of satisfaction factor along study result and quantile and there was the significant difference statistically regarding regression coefficient for each quantile. So, to use quantile regression model that offers the influence of satisfaction factor for each customer group along satisfaction level would contribute to plan the quantitative convergence policy for customer satisfaction.

• Journal of Information Technology Applications and Management
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• v.24 no.4
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• pp.171-185
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• 2017

This paper tried to examine the effect of the policy on companies' CSR activities and what kind of a role does CSR have in determining Customer Loyalty in Indonesia. This paper is divided into two parts, the first part is designed to find out whether the Indonesian government law has successfully made the companies perform better CSRs. We do this by using the ICGC Index of the companies registered and comparing their scores before and after the implementation of the policy. We will then use the paired sample t-test to find out if there is an increase in the overall scores of the companies and/or only the natural resource-related companies. The result showed an upward trend in the ICGC scores for all the companies which the Indonesian government law is intended to. In the second part, Manfred Schwaiger's components and parameters of corporate reputation was referred and used on Indonesian customers. We asked participants whether they think natural resource-related companies perform better CSRs and then we also tried to find out what factors really affect their loyalty towards companies or brands by conducting Multiple Regression Analysis. From the 4 factors that we have prepared, which consist of Performance, CSR, Quality and Attractiveness, Quality is the most influential towards determining our survey participants' Customer Loyalty. Surprisingly, CSR is insignificant in directly influencing Customer Loyalty. But, our research did find out that CSR does moderate Quality and Performance in their relationship with Customer Loyalty. Meaning that CSR has no effect in a direct relationship but it can increase the effect of Quality and Performance in determining Customer Loyalty. Unfortunately, CSR has no moderating effect in increasing the effect of Attractiveness towards Customer Loyalty.

• Journal of Korea Society of Industrial Information Systems
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• v.23 no.1
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• pp.53-63
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• 2018

In this paper, we analyze the waiting time of a queueing system with D-BMAP (discrete-time batch Markovian arrival process) and D-policy. Customer group or packets arrives at the system according to discrete-time Markovian arrival process, and an idle single server becomes busy when the total service time of waiting customer group exceeds the predetermined workload threshold D. Once the server starts busy period, the server provides service until there is no customer in the system. The steady-state waiting time distribution is derived in the form of a generating function. Mean waiting time is derived as a performance measure. Simulation is also performed for the purpose of verification and validation. Two simple numerical examples are shown.

• Culinary science and hospitality research
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• v.10 no.4
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• pp.201-214
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• 2004

The brand image had an effect on customer loyalty degree "Traditional characteristic", "Reliability", "Future events sliced raw fish directivity". With it appears, causing the effect which is powerful in customer loyalty degree "Traditional characteristic or reputation of restaurant", "Reliability of advertisement". The brand image had an effect on customer satisfaction "Reliability", "Customer directivity", "Traditional characteristic". With appears and with it is referred from above together "Traditional characteristic of restaurant" or "Reliability of advertisement public information", "Policy of the restaurant management customer first of all poem".

• Management & Information Systems Review
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• v.23
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• pp.1-23
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• 2007

Small and Medium Business Associate has supporting small and medium business and private business for establishment business and sales increasing with various policy since 2005. Arousing the interesting on customer relationship management, small and medium business and private business have recognized the necessity of the concept and introduction the CRM. This study suggested the effectiveness of the CRM throughout real cases of the CRM for small and medium business managers in order to rising sales in such an environment. The case of this study tried to figure it out to accomplish manager's ends of small and medium business to get successful business results based on innovative volition and mind trying to change. The owner who has experience 12 years in meat sales was analyzed the results of aptitude test that the business is highly appropriate to him in personality and aptitude. As also saw the strength and opportunity of SWOT analysis, he has an excellent talent for friendship, knowledge of searching Internet and organizing information, and learning ability. This study provided a marketing policy, ideas of customer services and system remodeling to improve relationship with customer, and a division diagnosis of business activities. The owner has an excellent friendship, so that this study suggest to remodel interior inside store clearly and sanitary displaying on products, to introduce aggressive and concentrated marketing strategies, and to recognize the important of public relation.

• The Journal of Industrial Distribution & Business
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• v.13 no.4
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• pp.1-14
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• 2022

Purpose: The purpose of the study is to explore the application of Augmented Reality (AR) technology to enhance interactivity and decision making via technology-enabled experience particularly, in the context of COVID-19. This study investigated effects of perceived utilitarian value, hedonic value, social value, and perceived risk on customer satisfaction with AR technology that are rarely examined in previous studies. Research design, data and methodology: Online survey data was used in the study. This study applied factor analysis and regression analysis to test the hypotheses and employed ANOVA and mediation effect analysis to explore additional findings. Results: The results suggested that customers' perceived usefulness, arousal, social preference, innovativeness, financial risk, and performance risk have statistically significant effect on customer satisfaction. Conclusions: The findings of the study provided managerial and policy implications to develop and advertise the introduction of AR technology with the emphasis on the practical and utilitarian benefits of the technology. The result of this study highlighted the importance of customer relationship management by providing advanced services to customers through AR technology. This study contributes to technology-enabled CRM literature by providing the empirical result to verify the assumption that AR technology can be an effective tool of firms' CRM strategy

• Asian Journal of Business Environment
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• v.13 no.1
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• pp.9-19
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• 2023

Purpose: The purpose of this research paper is to explore what factors that affect customer purchase decisions in the online environment, particularly after the COVID-19 pandemic in the case of Vietnamese customers. Research Design, Data and Methodology: To clarify which factor has the most significant impacts on online purchasing decision-making process, this study proposed a research model including factors such as customer trust, proposensity to trust, system assurance, the quality of website design, attitude, and customer satisfaction. This study collected the data via online survey. Data analysis was conducted by AMOS 25.0 using the Structural Equation Modeling (SEM) method. Result: The results of this study shows that the purchase decisions were positively affected by customers' attitude, satisfaction, trust, and the quality of websites design. Additionally, factors such as perceived size and reputation and system assurance, have impacts on buyers' trust, while the propensity to trust has no significant impact. Conclusion: This study provides managerial implications. The results provide which factors should be improved to foster trust, attitude, customer satisfaction, and purchase decision in the online environment. The results also provide managerial implication on marketing strategies how to enhance better relationships with customers and to consider environmental issues in the era of post COVID-19.