Chain Benefits Research Articles

The nexus between firm‐supply‐chain relationships and the potential for tourism development: A case study approach

AbstractThis exploratory study examines the importance of firm‐supply chain relationships for tourism development. Based upon prior observations, two firms seeking to boost their tourism offerings and operating in a popular Vietnamese tourist destination were selected. Semi‐structured face‐to‐face and online interviews were conducted and complemented by on‐site visits, and firm information. Various salient dimensions emerged from the data analysis. The ‘performance catalyst’ and ‘detectable value adding’ dimensions underscore the supply chain's benefits, while the ‘discerning relations’ dimension highlights deeper relationships through mutual support, building trust, or demonstrating care. Conceptually, the study proposes a framework with associated theoretical and practical implications.

Retailing and servicing strategies for an imperfect production with variable lead time and backorder under online-to-offline environment

<p style='text-indent:20px;'>Online-to-offline (O2O) retailing strategy is one of the trending topics in the business industry. The current study focuses on an advanced retailing strategy for a single item for a retailer and a manufacturer. Reminding the revolution in the internet world, a dual-channel retailing system is developed in this current study. The retailer offers their item through online and offline mode, though the producer prefers only offline mode. Besides, manufacturer provide different services to their clients through the product's life cycle to keep the company's brand image. The product's demand depends on the selling price and its service for both channels (offline and online) to their customers. To upgrade the services, some investments are implied to decrease the lead time. In expansion, to increase the demand and optimize the system benefit, the manufacturer gives their customers different services (unpaid, partially paid, full paid). The supply chain's benefit is optimized beside the ideal esteem of the decision variables. {Application of different service strategies in O2O retailing are near about <inline-formula><tex-math id="M1">\begin{document}$ 71\% $\end{document}</tex-math></inline-formula> beneficial compared to traditional supply chain. Numerical experiment proved that full-paid services are near about <inline-formula><tex-math id="M2">\begin{document}$ 79\% $\end{document}</tex-math></inline-formula> beneficial compare to partially paid service; however, partially paid services are recommended for industrial benefit.} Different numerical examples, exceptional cases, and sensitivity analyses were performed to prove the model's applicability along with graphical representations.</p>

E-voting Maintained by Privacy and Transparency with Public Block Chain

Abstract: Electronic voting is frequently seen as a method for increasing the electoral system's monetary effectiveness and management trust. When implemented correctly, e-voting technologies can increase ballot integrity, accelerate the results mechanism, and simplify the voting process. However, the unit of methodological issues are well-organized. If not meticulously planned and managed, electronic voting has the tendency to endanger the reliability of the system electoral arena. Before selecting to employ new choosing innovations, it is essential to carefully evaluate essential concerns as they will have an impact on the performance of E-voting alternatives. Since the 1970s, electronic voting has been employed in a variety of ways, and it has a number of fundamental strengths beyond paper-based processes, including greater hyperbolic potency and fewer mistakes. Although the strength among these systems versus security vulnerabilities is growing with relevance, it is still complicated to understand their extensive applications. Block chain technology, which aims to increase the reliability of e-voting technologies, also might lead to riots. It demonstrates a potential way to make use of block chain's benefits, such as associated disclosure study, to comprehend a fiscally sustainable topic for electronic voting. The suggested motif satisfies the requirements for electronic voting systems and ensures end-to-end provability. The planned e-voting theme and how it will be implemented on the Multi chain platform are indeed thoroughly explained. The study offers in-depth analysis of a topic that consistently demonstrates its ability to understand a related, end-to-end, validated e-voting concern.

Supplier Encroachment in a Non-Exclusive Reselling Channel

We consider a setting in which a non-exclusive reseller procures partially substitutable products from two suppliers, one of whom introduces a direct channel. We find that the presence of the second supplier alters many of the existing results about the interactions between a reseller and an encroaching supplier. For instance, the reseller's and the supply chain's benefit from the direct channel disappears when the product substitutability is sufficiently large. In addition, when the reseller is non-exclusive, the encroaching supplier may either sell exclusively through its direct channel even when that channel is less efficient than the reselling channel, or sell through both channels even when its direct channel is more efficient than the reselling channel. Neither of these would occur in an exclusive reselling environment with only one supplier.

Customers' Clustering Analysis and Corresponding Marketing Strategies based on Improved SOFM ANN in e-Supply Chain

Abstract According to the similarity of data, the huge number of customers' data in e-supply chain can be clustered objectively and scientifically, and those customers are be clustered into corresponding groups based on SOFM ANN (Self-Organizing Feature Map Artificial Neural Network). Through recognizing and analyzing the different features of these different groups, adopting corresponding marketing strategies can enhance customers' satisfaction, and moreover, can realize the e-supply chain's benefit maximization. In this article, three aspects of improvement are made in the SOFM ANN that applied in customers' clustering analysis; the sample data comes from the Google group. The result shows that the improved SOFM ANN's performance is considerably better than the traditional one's performance. Customers' clustering analysis and corresponding marketing strategies based on the SOFM ANN is a comparatively new topic. Therefore, the result of the research in the article is only for reference.