The fundraiser groups and charities contribute to the improvement of the disable and poor people, rather it can be said that they play an integral part in the entire procedure. These nonprofit organizations use various means to contact the obtainable and solicit donors such as face to face contact, phone calls, internet sources, social networking sites and other devices. However, these methods also come with various issues that can hamper the security of the organization and it may also take advantages of the goodwill of the company. Therefore several potential donors avoid the fundraiser and charity organizations. Therefore, the charity organizations require a data acquisition strategy in order to protect their data base. In this study the data acquisition strategy of the Endeavour Foundation Charity will be planned for protecting the database through the online channels.
Huang et al. (2014) indicated that charity marketers have been criticized several times due to the negative sentiment related with the industry. Many think that the charity money goes in vein and the needy section do not get adequate support from the money. However reports have shown that even with such negative connotations nonprofit charity organizations have established themselves as a receiver of great support across the world. Several donors get engaged with the charity as they feel more connected to the cause (Khodakarami Petersen & Venkatesan, 2015). Also the charity foundations such as Endeavour Foundation Charity have utilized the digital media as their incorporated cross channel strategy; therefore they could now reach to a huge number of clients and simplify the journey. However DeVellis (2016) opined that the digitalization process comes with few more responsibilities. This digital presence would be entirely worthless if the organization does not have an authentic strategy that can build the digital presence of the organization along with the reputation through a genuine and transparent way.
Protecting the data is essential for the protection of the personal information of the individuals who are the employees, clients, donors and the clients. The primary responsibility of the personal data of the stakeholders of the organization lies mostly with the data processing section of the organization (Nuttin, 2014). The data protection is also regarding the protection of people from misusing their personal data. Several scholars indicate to the data protection legislations mainly focuses on preventing any kind of harm towards the individuals who are involved with the charity organizations. Winterich, Mittal and Aquino (2013) indicate that in order to operate in an effective manner within the charity foundation sector, the organizations have to deal with a huge range of personal information of the donors. For instance the charitable organizations are required to collect information in order to make and expand the list of potential donors or the supporters. For those fundraising organizations, expanding and building an effective list of supporters seem to be a legitimate and genuine objective. However the charitable organizations are also accountable to protect the information from any kind of misusing (DeVellis, 2016). They are required to ensure that the information are not leaked and are not found by people who are to misuse the information. However, there are instances where the individuals allow the organizations to reveal their information, therefore the organizations can reveal those in a legitimate way but until they are allowed the information should be protected.
In this era of technological innovation, there have been several innovative approaches that have established methods of technological disruptions as well. However the technological disruptions are mostly balanced with the significant data components. The voluntary organizations are mostly dependent on the public trust, however generally it is difficult for most of the organizations to ensure that the information is protected. Therefore it is crucial for the charitable organizations to be aware of their accountabilities for keeping the data they have in a secured and protected way (Khodakarami, Petersen & Venkatesan, 2015). However the technological platforms have changed to a great extent and it has changed the methods of gaining access and utilizing the information. The nonprofit and charitable organizations such as Endeavour Foundation Charity are usually open for the disruptive abilities. They tend to confront the data as it remains the central matter of their work. They tend to value the mass economic, social and technological changes around the world. However the common mass can assume and accept the data processing innovations as the online options are changing the lives as fast as possible. Huang et al., (2014) indicate that the charitable organizations mostly view their work process in terms of the societal purposes and pay no attention to the responsibility that they tend to play with the usage of information for fundraising are also open to several vulnerabilities and various information disruptions. However for this reason these nonprofit organizations are open to the drivers of information disruptions, for that it is significant to understand why the data play a crucial role in their work. Most of the data are collected from the other charitable organizations who are also working on the same field and the other communities and clients. Therefore the charitable organizations contribute to the entire collection of data each time one organization is collaborating with another one along with their engagement with the commentators, journalists and the social media platforms. Therefore the charitable organizations are regularly engaged with the data generation process. However the service users tend to buy the community services after exercising the online platforms or the chat rooms for discussing the specific differences between the nonprofit, charitable and the for profit organizations and the service providers. Therefore the disruptions of information may replace the connection between the communications with the nonprofit organizations. However these organizations work with the trust that they had build by working with the common mass. Most of the Australian charities are the trusted organizations within the country. However it has been indicated by several scholars such as Smith and Font (2014) that the digital disruptions with the charitable organizations are inevitable. Therefore it should be pointed out that the most significant issue with the information disruption is that these organizations should remain central for their data disruptive processes. In the past there have been several issues with the data disruption, however, the nonprofit sector of Australia has several opportunities to prevent such disruptions in future so that they can live up to the confidence and trust that the common public have upon them.
The means end theory refers to the method that the consumers or the clients can relate to the service or the products can be symbolized by the hierarchical model of the three interrelated levels such as product attributes, personal values and the consequences of usage of the service or the product (DeVellis, 2016). This approach of the theory is based on the supposition that the clients view the service or the products as a means of the significant ends therefore they try to explain the product or the service selection which facilitates the achievement of the preferred state of end. In this approach the scholars use the term ‘level’ which represents the hierarchical levels and the categorization of the specific contents of the organizations which range from the characteristics of the service or the products to the personalized values. Therefore the higher hierarchical level tends to grow more abstractions and the higher the level becomes the abstractions become higher. Therefore this approach tends to make the interpretation of the service or the products as self relevant. Therefore the theory also asserts that these perceptions go beyond the practical properties that have a meaning in the lives of the consumers.
This model has been developed by Gutman (1982) and it maintains the belief that the value of the service or the products is the most dominant factor within the client purchase pattern, and the considered services or the products based in the purposes of the satisfying values and all these actions therefore has some consequences that may be the desired one or not, and lastly it has been assumed that there is a interconnection between the attributes of the service or the products and the consequences. The primary aspect of the means end theory model are the decision making process of the consumers that produces the most desired consequences or the positive consequences and tends to minimize the negative and undesired outcomes (Khodakarami, Petersen & Venkatesan, 2015). Therefore this theory can implicate that the more the decision making process of the clients tend to conclude in a positive outcome that their data will not be misinterpreted, the more they would like to donate to the charity. This will also minimize the other outcome or the negative connotations that are related with most of the charitable organizations.
The means end model is prepared on the basis of the attribute – consequences – value or the ACV sequence model which shapes the means end chain. In this situation, the structure tends to connect the attributes of the service that the charitable organizations provide and the latter to the values. For instance it can be said that the quality of the protection of the client information may lead to the desired consequence of optimizing the time, therefore it can lead to the security of the information of the clients (Khodakarami, Petersen & Venkatesan, 2015). In order to maintain the peculiarities of the ACV sequence and the relationships between the components of the model, the sequence divides the hierarchy is also amplified in different other levels.
Here the amplified version uses six different levels to divide the means end hierarchy. In this version, CA refers to dividing attributes into concrete and the abstract AA, FC refers to consequences in functional and the psychological PC, IV refers to values in instrumental and the terminal TV.
The unfair effectiveness of the data for the applications that are machine learning has been debated over several years. For the charitable organizations, it is essential to improve their data acquisition model. As the Endeavour Foundation Charity works with a wide range of the clients, they tend to meet the vulnerabilities. It has already been suggested that there can be several prime breakthroughs within the field of the Artificial Intelligence that have constrained the availability of the high quality data sets. In this section the study will provide some major recommendations for the Endeavour Foundation Charity so that the organization can improve its data acquisition strategies. For the nonprofit organizations such as Endeavour Foundation Charity, it is significant to protect the customer information as the entire organization depends on the trust and confidence of the client base. The organization can overcome the issues with its data acquisition in several ways. Generally the strategy of preserving the data aligns with the focus of the organization. As the primary focus of the organization is the confidence and trust of the client base and the funding situation, it needs to preserve the information. The following list is the strategies that give a wide range of approaches for the organization:
Working manually: The organization can also build its proprietary dataset from the scratch. However it tends to take a lot of human effort and time into the acquisition of data and the performance of the manual jobs. However, making a manual data set would provide the organization the opportunity to preserve its data and verify the potential predictions that the other virtual agents are to make. Several past researches indicate that the biggest technological giant organizations follow this strategy. Using the manual data strategies may take a lot of human effort and time at the initial stage but as soon as it starts to improve it will not take much time to be updated.
Narrowing the domain: Most of the charitable organizations such as Endeavour Foundation Charity collect the data from the clients directly. The primary challenge for the organization is to convince the initial adopters for donating before they have known about their service and the domain of working. Therefore for the data collection and the machine algorithms, the organization can narrow its problem domain. It may avoid the domains that can create the problems. As most of the users comment that the amount of data the organization needs is entirely relative to the width of the issues that it is trying to solve. The organization can also go with the horizontal assistance that can help with the large number of the questions and requests or they can also create the vertical assistants that can try to perform the job well defined. If both the options are available for the organization the data collection and preservation process can be a lot easier.
Outsourcing: There are instances where the organization had issues with the employee or the interns of the organization itself in labeling and collecting the data manually. Therefore Endeavour Foundation Charity can outsource the entire data collection process so that they can get rid of the incomplete and untidy data collection and preservation process using the online workforce. However the other organization will be responsible and will be bounded by law in preserving the collected information. Therefore the entire task can be done in a transparent way as well. Many well known organizations use this strategy to overcome their data collection issues.
Mobile Applications: The Endeavour Foundation Charity can start off a mobile application which is quite popular among different organizations all around the world. This strategy can be very much helpful for the organization as using a domain specific mobile application they can target the consumers and gather additional information about the clients in an easier way. However this strategy comes with several risks, therefore the organization requires to ensure that they create a sufficiently strong and protected domain that preserves the data of the clients base because is the domain is not strong it will lack at the initial stage.
Trapping the data: The goal of using this strategy is to create something that can be valuable even with the concept of machine learning, yet there can be a huge cost to gather the data. However building the data trap can take a huge cost yet it can act as a core part of the business model of the organization.
License the third part data: Another way to preserve the data of the organization while using a third party organization is to license it. Using the external data provider the Endeavour Foundation Charity can bound the third party organization with law and legislations so that the data are preserved.
Collaborating with the larger organization: Collaborating with larger organization will give the Endeavour Foundation Charity opportunity to preserve and access the relevant data. In this scenario, the organization can be benefitted in a two way process.
Small Acquisitions: The organization can also make smaller data related acquisitions that can transform and preserve its data.
Reference List and Bibliography
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