Search results

Demonstrate proof-of-concept for conducting NFL Draft trades on a blockchain network using smart contracts.

Using Ethereum smart contracts, the authors model several types of draft trades between teams. An example scenario is used to demonstrate contract interaction and draft results.

The authors show the feasibility of conducting draft-day trades using smart contracts. The entire negotiation process, including side deals, can be conducted digitally.

Further work is required to incorporate the full-scale depth required to integrate the draft trading process into a decentralized user platform and experience.

Cutting time for the trade negotiation process buys decision time for team decision-makers. Gains are also made with accuracy and cost.

Full-scale adoption may find resistance due to the level of fan involvement; the draft has evolved into an interactive experience for both fans and teams.

This research demonstrates the new application of smart contracts in the inter-section of sports management and blockchain technology.

This study explored the role that Instagram, a prominent social media platform, plays in the consumer decision-making process of young adults (age 18–27 years) in the United States as they shop online for apparel and interact with the digital profiles of apparel brands. Specifically, this study compared consumers' purchase and post-purchase evaluation behaviors on Instagram between Millennials and Generation Z, and investigated the role of consumers' trust of Instagram on these behaviors.

A survey instrument was developed to explore critical variables, including consumers' purchase and post-purchase evaluation behaviors on Instagram, consumers' trust of Instagram, and demographic factors, adapting previous works from Ko (2018), Djafarova and Rushworth (2017), and Herrando et al. (2019). Survey responses were collected via the Qualtrics participant panel service (N = 226), then coded and analyzed using JMP Pro (Version 14.2).

Results indicated that statistically significant mean differences were present among several key variables, including between Millennial and Generation Z post-purchase behaviors on Instagram, willingness to share feedback about a brand experience on Instagram, and trust of content on Instagram. Additionally, it was determined that purchase and post-purchase behaviors on Instagram are significantly different depending on whether or not a consumer trusts Instagram and the content therein.

While online consumer behaviors have been previously studied, the impact of young adults' Instagram usage on their purchase and post-purchase evaluation behaviors in the apparel sector had not been thoroughly examined. The findings from this study provide meaningful insights on the purchase and post-purchase behaviors on Instagram of young adult consumers from different generational cohorts. They demonstrate that developing trust with young adults is critical to the success of brands trying to reach this demographic on Instagram.

The purpose of this study was to create an air movement operations planning model to rapidly generate air mission request (AMR) assignment and routing courses of action (COA) in order to minimize unsupported AMRs, aircraft utilization and routing cost.

In this paper, the US Army Aviation air movement operations planning problem is modeled as a mixed integer linear program (MILP) as an extension of the dial-a-ride problem (DARP). The paper also introduces a heuristic as an extension of a single-vehicle DARP demand insertion algorithm to generate feasible solutions in a tactically useful time period.

The MILP model generates optimal solutions for small problems (low numbers of AMRs and small helicopter fleets). The heuristic generates near-optimal feasible solutions for problems of various sizes (up to 100 AMRs and 10 helicopter team fleet size) in near real time.

Due to the inability of the MILP to produce optimal solutions for mid- and large-sized problems, this research is limited in commenting on the heuristic solution quality beyond the numerical experimentation. Additionally, the authors make several simplifying assumptions to generalize the average performance and capabilities of aircraft throughout a flight.

This research is the first to solve the US Army Aviation air movement operations planning problem via a single formulation that incorporates multiple refuel nodes, minimization of unsupported demand by priority level, demand time windows, aircraft team utilization penalties, aircraft team time windows and maximum duration and passenger ride time limits.

The purpose of this study is to examine why Sub-Saharan Africa (SSA) is not currently a major player in producing apparel for the US market and determine if SSA is likely to become one because of several opportunities that the region offers, including relatively low labor wages, an ample labor force and duty-free access to the USA through the 10-year renewal of AGOA.

In-depth interviews were conducted with eight high-level executives in apparel sourcing and trade agencies to obtain their views on the opportunities and challenges of sourcing in SSA in relation to other major apparel sourcing regions. A descriptive analysis of the qualitative data was used to answer three research questions.

The findings reveal that SSA is a competitive region to source from, because of low labor wages and the duty-free benefits through AGOA. However, several challenges hinder a significant increase in sourcing from SSA. The executives recommended that for SSA to be a significant force in the global apparel market, vertical supply chains should be developed, where raw materials like fabric are sourced from within the country/region and SSA governments should become more involved in business environment improvements.

At present, there is limited academic literature on sourcing and supplier selection in Africa, particularly in textile and apparel sourcing in SSA. Based on interviews from high-level executives engaged in the sourcing decision-making process, this study reveals the benefits, challenges and opportunities for sourcing apparel from SSA countries.

The purpose of this paper is to study clothing and shoes disposal behavior of US consumers in an attempt to understand how to divert more clothing and shoes from the landfill.

A survey was administered to 209 consumers from the general US population. The survey includes questions on demographics, methods of disposal and factors that motivate or prevent consumers from choosing methods other than throwing unwanted clothing in the trash.

Analysis of demographic data from the survey indicates that gender, income, marital status, living arrangement and type of dwelling have an effect on whether consumers recycle textiles. Other survey results indicate that helping factors are more influential in motivating consumers to recycle clothing and shoes than economic factors. The condition of clothes and shoes and lack of awareness are the most prominent reasons preventing consumers from recycling more textiles. The results also show that there are statistically significant differences between households with and without children when it comes to disposing adults’ clothing and shoes.

These results may help policymakers who want to motivate consumers to recycle or develop recycling programs.