• KSII Transactions on Internet and Information Systems (TIIS)
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• v.2 no.5
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• pp.222-238
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• 2008

In this paper, the random key pre-distribution scheme introduced in ACM CCS'02 by Eschenauer and Gligor is reexamined, and a generalized form of key establishment is introduced. As the communication overhead is one of the most critical constraints of any successful protocol design, we introduce an alternative scheme in which the connectivity is maintained at the same level as in the original work, while the communication overhead is reduced by about 40% of the original overhead, for various carefully chosen parameters. The main modification relies on the use of a two-level key pool design and two round assignment/key establishment phases. Further analysis demonstrates the efficiency of our modification.

• The KIPS Transactions:PartC
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• v.15C no.1
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• pp.1-8
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• 2008

The security of wireless sensor networks is a challenging research area where the resources constraints are a bottleneck for any successful security design. Due to their computational feasibility, symmetric key algorithms that require key pre-distribution are more desirable for use in these networks. In the pre-distribution scheme, keys or keying materials are assigned to each node prior deployment to guarantee a secure communication within the entire network. Though several works are introduced on this issue, yet the connectivity and resiliency are imperfectly handled. In this paper, we revisit the grid based key pre-distribution scheme aiming to improve the connectivity, introduce a higher resiliency level, simplify the logic of key establishment and maintain same level of used of resources usage. The core of our modification relies on introducing the novel plat-based polynomial assignment and key establishment mechanism. To demonstrate the advantageous properties of our scheme over the revisited one, details of consumed resources, resulting connectivity, security and comparisons with relevant works are introduced.

• The Journal of Asian Finance, Economics and Business
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• v.5 no.4
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• pp.57-65
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• 2018

With the paramount importance of key account management in business-to-business relationship, today companies are using this approach as a strategic weapon in their selling efforts targeted at the most important customers to solve their complex requirements with special treatment that eventually ensures both parties' financial and nonfinancial objectives. The aim of this paper is to investigate the level of key account management performance among the export-oriented readymade garments companies in Bangladesh with regards to company's experience in business, size of the company and key account serving capacity of the company. Using a questionnaire, data from 112 readymade garments companies in Bangladesh were collected and analyzed using descriptive analysis and ANOVA to test the level of key account management performance. Results show that the level of key account management performance by the garments companies did not vary by the company's experience in business and size of the company respectively. In contrast, the level of key account management performance was found to be different concerning high, medium, and low customer service capacity. Apparently, companies with big number of customers show better performance than companies with small number of customer. Implications for this study are discussed along with suggestions for future research avenues.

• Journal of Distribution Science
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• v.20 no.12
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• pp.89-98
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• 2022

Purpose: Due to the rapid growth of e-commerce in Thailand, the operational excellence of distribution service providers has been elevated. Thus, this research investigated the key drivers of operational performance of e-commerce distributors in Thailand. The research contains key variables: the analytics capabilities of an organization, supply chain disruption orientation, innovation capability, and operational performance. Research design, data, and methodology: An online survey is administered to top managers and key personnel (N=425) employed for at least one year in Thailand's top five e-commerce distributors. The sampling methods were conducted using purposive sampling, quota sampling, and convenience sampling. Confirmatory Factor Analysis and Structural Equation Model were applied to analyze and confirm the model's goodness-of-fit and hypothesis testing. Results: The findings reveal that an organization's analytics capabilities significantly affect supply chain disruption orientation and supply chain resilience. Furthermore, operational performance is affected by supply chain disruption, supplier quality management, and innovation capability. Nevertheless, supply chain resilience and digital supply chain have no significant effect on operational performance. Conclusions: The results imply that supply chain digitalization could drive higher operational performance. Distribution businesses are encountering transformation and disruption, which should address the high level of a digital supply chain, innovation, and quality management to maximize their profit margin and delivery service quality.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.46 no.2
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• pp.109-115
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• 2023

This paper studied the problem of determining the optimal inventory level to meet the customer service target level in a situation where the customer demand for each branch of a nationwide retailer is uncertain. To this end, ISR (In-Stock Ratio) was defined as a key management indicator (KPI) that can be used from the perspective of a nationwide retailer such as Samsung, LG, or Apple that sells goods at branches nationwide. An optimization model was established to allow the retailer to minimize the total amount of inventory held at each branch while meeting the customer service target level defined as the average ISR. This paper proves that there is always an optimal solution in the model and expresses the optimal solution in a generalized form using the Karush-Kuhn-Tucker condition regardless of the shape of the probability distribution of customer demand. In addition, this paper studied the case where customer demand follows a specific probability distribution such as a normal distribution, and an expression representing the optimal inventory level for this case was derived.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.12 no.6
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• pp.47-58
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• 2002

The access control techniques, which can control unauthorized members to access to multicast service, have not been studied very often while there are a lot of on-going study on secure multicast architecture, multicast key distribution and sender authentication scheme have been studied. Multi level access control scheme in multicast can be used in a remote secure conference or to provide graduated multimedia services to each customers. In fact, multicast network has its own virtual networks according to different security levels. However, Early schemes are not effective when it protects unauthorized access in multi-access network environment. Furthermore this scheme does not provide us with hierarchical access control mechanism. This paper, therefore, proposes hierarchical access control scheme to provide the effectiveness in network layer by security level comparison. And we also suggests hierarchical key distribution scheme for multi level access control in application layer and effective hierarchical key renewal scheme in dynamic multicast environment which is easy to join and leaving the multicast group.

• Journal of Convergence for Information Technology
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• v.10 no.11
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• pp.23-29
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• 2020

As IoT devices increase exponentially, minimizing MIMO interference and increasing transmission capacity for sending and receiving IoT information through multiple antennas remain the biggest issues. In this paper, secret key-level distribution mechanism using deep learning is proposed to minimize MIMO-based IoT communication noise. The proposed mechanism minimizes resource loss during transmission and reception process by dispersing IoT information sent and received through multiple antennas in batches using deep learning. In addition, the proposed mechanism applied a multidimensional key distribution processing process to maximize capacity through multiple antenna multiple stream transmission at base stations without direct interference between the APs. In addition, the proposed mechanism synchronizes IoT information by deep learning the frequency of use of secret keys according to the number of IoT information by applying the method of distributing secret keys in dimension according to the number of frequency channels of IoT information in order to make the most of the multiple antenna technology.

• Journal of Distribution Science
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• v.14 no.9
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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.

• The Journal of the Korea institute of electronic communication sciences
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• v.8 no.2
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• pp.329-337
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• 2013

In this paper, we review scientometric analysis through paper analysis of each organization and author to decide research direction for autonomous driving vehicles. We confirms research trend of autonomous driving vehicle by using number of papers. Analysis of Index Level, International Cooperation Research Network, Analysis of Key and Q-L distribution according to each organization and author.

• Asian Journal of Business Environment
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• v.2 no.1
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• pp.5-13
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• 2012

The aim of this paper is to propose an integrative definition of key account management (KAM) at the organizational level through a content analysis of the existing definitions of KAM available in the business literatures. A representative pool of definitions of key account management was generated through literature review from twenty three journals that covers the divergence of name variety like global account management, strategic account management, national account management, international key account management, key client management, major account management, key customers management and key account management. Relating to the definition of key account management various attributes are identified through content analysis and according to the relevance, profile for each attributes are developed. On the basis of these attributes a diagrammatic and textual definition is proposed that covers the different standpoints and aspects of key account management approach and captures its essence as well. Eventually, several strategic implications are derived that create the field for further empirical investigation.