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Management Information Systems Commons™
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- Keyword
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- International taxation; the European Commission; worldwide tax system; territorial tax system; domestic-sourced income; foreign-sourced income (1)
- K-means algorithm; data clustering; Kd-tree structure (1)
- Search costs; price obfuscation; diamond retail; data mining; pricing; revenue management (1)
- Triple bottom line; B Corporations; COVID-19; social media; communication (1)
Articles 1 - 4 of 4
Full-Text Articles in Management Information Systems
B Corps’ Social Media Communications During The Covid-19 Pandemic: Through The Lens Of The Triple Bottom Line, Manveer Mann, Sang-Eun Byun, Whitney Ginder
B Corps’ Social Media Communications During The Covid-19 Pandemic: Through The Lens Of The Triple Bottom Line, Manveer Mann, Sang-Eun Byun, Whitney Ginder
Department of Marketing Faculty Scholarship and Creative Works
The COVID-19 pandemic and rising demand for transparency has heightened the importance of sustainability communications on social media to generate deeper stakeholder engagement. Although B Corporations (B Corps), businesses committed to the triple bottom line (TBL), could serve as a catalyst for sustainable development, little is known about how they communicate on social media during a crisis. Therefore, we examined social media communications of B Corps to (1) identify salient topics and themes, (2) analyze how these themes align with the TBL, and (3) evaluate social media performance against industry benchmarks. We focused on the apparel, footwear, and accessories (AFA) …
Tree-Based Algorithm For Stable And Efficient Data Clustering, Hasan Aljabbouli, Abdullah Albizri, Antoine Harfouche
Tree-Based Algorithm For Stable And Efficient Data Clustering, Hasan Aljabbouli, Abdullah Albizri, Antoine Harfouche
Department of Information Management and Business Analytics Faculty Scholarship and Creative Works
The K-means algorithm is a well-known and widely used clustering algorithm due to its simplicity and convergence properties. However, one of the drawbacks of the algorithm is its instability. This paper presents improvements to the K-means algorithm using a K-dimensional tree (Kd-tree) data structure. The proposed Kd-tree is utilized as a data structure to enhance the choice of initial centers of the clusters and to reduce the number of the nearest neighbor searches required by the algorithm. The developed framework also includes an efficient center insertion technique leading to an incremental operation that overcomes the instability problem of the K-means …
Subjectivity Of Diamond Prices In Online Retail: Insights From A Data Mining Study, Stanislav Mamonov, Tamilla Triantoro
Subjectivity Of Diamond Prices In Online Retail: Insights From A Data Mining Study, Stanislav Mamonov, Tamilla Triantoro
Department of Information Management and Business Analytics Faculty Scholarship and Creative Works
Diamonds belong to a unique product category whose perceived value is largely dependent on socially constructed beliefs. To explore the degree to which the physical properties of a diamond can be used to predict the diamond price, we perform data mining on a large dataset of loose diamonds scraped from an online diamond retailer. We find that diamond weight, color and clarity are the key characteristics that influence diamond prices. The data mining results also suggest a high degree of subjectivity in diamond pricing that may reflect price obfuscation strategies employed by diamond retailers.
The Emerging International Taxation Problems, James G. Yang, Victor N.A. Metallo
The Emerging International Taxation Problems, James G. Yang, Victor N.A. Metallo
Department of Accounting and Finance Faculty Scholarship and Creative Works
The problems of tax evasion and tax avoidance are as old as taxes themselves. Between 2015 and 2016 alone, many U.S. multinational corporations were involved in tax disputes with the European Commission. From a historical perspective, these disputes are unprecedented as they have resulted in tremendous amount of tax penalties. The most notable case was Apple for €13 billion of unpaid tax. This article discusses what tax strategies these corporations used that caused such disputes. It specifically investigates seven corporations: Apple Inc., McDonald’s, Starbucks, Fiat, Amazon, Google, and Ikea, and elaborates on the following tax strategies: high royalties, intercompany transfer …