Viola adunca var. adunca Sm.

https://thekeep.eiu.edu/herbarium_specimens_byname/20721/thumbnail.jp

Black-Owned Small Business Survivors of Business Gentrification in the Bradhurst Neighborhood of Harlem, New York

This study explored how Black-owned small businesses survived the business gentrification in the Harlem neighborhood of Bradhurst. The research methodology used was a mixed-methods, explanatory, sequential design. In the quantitative phase, survey data were used to describe how many Black-owned small businesses survived the business gentrification. In the quantitative phase, the researcher found a total of 74 (N) eligible Black-owned small businesses survivors. The Black-owned small businesses consisted of 28%, or 21, of the 74 business that existed prior to the period of gentrification and that survived after gentrification. There were 18%, or 13, of the 74 Black-owned small businesses that started during, and existed after, the business gentrification. In the qualitative phase, the researcher conducted six qualitative semi-structured interviews of Black-owned small business survivors. The qualitative findings of this study suggest that the Black-owned small businesses employed five key strategies to survive the business gentrification by managing the change in the business environment, identifying new business opportunities, securing capital financing for growth, taking advantage of technical assistance from local sources, and increasing education and leadership in operating their businesses. The quantitative and qualitative findings were then integrated for a better understanding of the strategies employed by the Black-owned small businesses to survive. Recommendations for stakeholders are to develop educational programs tailored to Black-owned small businesses, to create business-building strategies to enhance the resources needed to manage change in a changing business environment, and to stabilize the finances of their businesses for maximization and long-term business growth. The study was intended to be useful to policy makers, businesses, and educators

Improving sustainability through intelligent cargo and adaptive decision making

In the current society, logistics is faced with the challenge to meet more stringent sustainability goals. Shippers and transport service providers both aim to reduce the carbon footprint of their logistic operations. To do so, optimal use of logistics resources and physical infrastructure should be aimed for. An adaptive decision making process for the selection of a specific transport modality, transport provider and timeslot (aimed at minimisation of the carbon footprint) enables shippers to achieve this. This requires shippers to have access to up-to-date capacity information from transport providers (e.g. current and scheduled loading status of the various transport means and information on carbon footprint) and traffic information (e.g. city logistics and current traffic information). A prerequisite is an adequate infrastructure for collaboration and open exchange of information between the various stakeholders in the logistics value chain to obtain the up-to-date information. This paper gives a view on how such an advanced information infrastructure can be realised, currently being developed within the EU iCargo project. The paper describes a reference logistics value chain, including business benefits for each of the roles in the logistics value chain of aiming for sustainability. A case analysis is presented that reflects a practical situation in which the various roles collaborate and exchange information for realizing sustainability goals, using adaptive decision making for selecting a transport modality, transport provider, and timeslot. A high-level overview is provided of the requirements on and technical implementation of the supporting advanced infrastructure for collaboration and open information exchange.In the current society, logistics is faced with the challenge to meet more stringent sustainability goals. Shippers and transport service providers both aim to reduce the carbon footprint of their logistic operations. To do so, optimal use of logistics resources and physical infrastructure should be aimed for. An adaptive decision making process for the selection of a specific transport modality, transport provider and timeslot (aimed at minimisation of the carbon footprint) enables shippers to achieve this. This requires shippers to have access to up-to-date capacity information from transport providers (e.g. current and scheduled loading status of the various transport means and information on carbon footprint) and traffic information (e.g. city logistics and current traffic information). A prerequisite is an adequate infrastructure for collaboration and open exchange of information between the various stakeholders in the logistics value chain to obtain the up-to-date information. This paper gives a view on how such an advanced information infrastructure can be realised, currently being developed within the EU iCargo project. The paper describes a reference logistics value chain, including business benefits for each of the roles in the logistics value chain of aiming for sustainability. A case analysis is presented that reflects a practical situation in which the various roles collaborate and exchange information for realizing sustainability goals, using adaptive decision making for selecting a transport modality, transport provider, and timeslot. A high-level overview is provided of the requirements on and technical implementation of the supporting advanced infrastructure for collaboration and open information exchange.In the current society, logistics is faced with the challenge to meet more stringent sustainability goals. Shippers and transport service providers both aim to reduce the carbon footprint of their logistic operations. To do so, optimal use of logistics resources and physical infrastructure should be aimed for. An adaptive decision making process for the selection of a specific transport modality, transport provider and timeslot (aimed at minimisation of the carbon footprint) enables shippers to achieve this. This requires shippers to have access to up-to-date capacity information from transport providers (e.g. current and scheduled loading status of the various transport means and information on carbon footprint) and traffic information (e.g. city logistics and current traffic information). A prerequisite is an adequate infrastructure for collaboration and open exchange of information between the various stakeholders in the logistics value chain to obtain the up-to-date information. This paper gives a view on how such an advanced information infrastructure can be realised, currently being developed within the EU iCargo project. The paper describes a reference logistics value chain, including business benefits for each of the roles in the logistics value chain of aiming for sustainability. A case analysis is presented that reflects a practical situation in which the various roles collaborate and exchange information for realizing sustainability goals, using adaptive decision making for selecting a transport modality, transport provider, and timeslot. A high-level overview is provided of the requirements on and technical implementation of the supporting advanced infrastructure for collaboration and open information exchange