Social Networking Information System Making -Myassignmenthelp.Com

Question: Discuss About The Social Networking Information System Making? Answer: Introduction: Data theft is a serious issue in todays world and is a great threat to data bases which companies share with their customers. Hacking data by unauthorised identities can lead to financial losses to companies and customers. The assignment would deal with this serious threat with Amazon as a company of choice. The paper would first point out the issue and its outcomes. Then it would go forward to recognise the outcomes of the project which Amazon looks forward to gain (amazon.com, 2018). The study also contains recommendations for Amazon regarding how it can deal with the serious issue. The issue the project would investigate: The project would investigate into the issue of data thefts encountered by Amazon and its potential impacts on the company. Amazon faces threat from data hackers due to several factors. The American multinational company is the largest internet retailer and cloud computing services offering company in the world. The customer profile of the company consists of government departments like defence and other multinational corporations (Prasad Haldar, 2015). Thus the data base of Amazon contains confidential information of governments, multinational corporations, small enterprises and individual customers, both rich and middle class. Hacking the data base would make huge amount of financial information available to the illegal hackers (money.cnn.com, 2018). The company is strengthening its internet security but the hackers are also advancing their hacking procedures to break into the companys confidential database. This threat is becoming even more severe as the multinational company is expanding its business (Devdhar et al., 2016). This requires Amazon to initiate a project to counteract the growing strength of the hackers. The following potential outcomes of the data thefts on the business of Amazon would shed light on the seriousness of the issue and also pave way to project plan: Loss of business data: Data theft would result in Amazon losing its confidential business data to illegal entities which would put the future of the company in great risk. As pointed out the database of Amazon is used by the users to store confidential business data including financial information. This means that data theft would devastate the business of both Amazon and its customers which include government departments and others MNCs as well (cutimes.com, 2018). The hackers are increasing their strength to attack the firewall and passwords which Amazon uses to protect its data. This means that Amazon requires strengthening its security to counteract these increasing security threats (Ablon et al., 2016). Loss of market goodwill: Amazon offers secure electronic platform to billions of users to buy and sell products which accounts for its market goodwill. Thousands of the multinational companies use the cloud computing platforms Amazon provides to share, acquire and manage bulk of sensitive business information. Thus, the strengthening security threats and resultant data theft would lead to Amazon lose the trust of these individual and business customers. Amazon would eventually lose these customers to its competitors. It would also lose its market goodwill and top position it enjoys as the largest ecommerce company in the world (Jokar, Arianpoo Leung, 2016). Loss of business: Data theft can cause loss of important business data and market goodwill which can ultimately lead to business loss to Amazon. The main business of Amazon stems from internet and ecommerce services to companies and individuals. As pointed out, data theft would result in these customers losing their data to illegal entities. These companies consequently would shift to other companies which provide similar services. For example, as far as cloud computing services are concerned, the users can shift to Microsoft Azure and Google Cloud Platform (Ablon et al., 2016). The customers can shift to Alibaba and ebay to buy goods online. This means that Amazon due to the increasing risk of data theft would lose its customers to its competitors and which would reduce its revenue generation. The project plan: The above clearly points out that Amazon should form a project to investigate into the standards of its present security system, locate the loop holes and take appropriate measures to deal with future cyber attacks. The essence of the project plan would be preventing loss of sensitive business information, loss of market goodwill and loss of revenue (Jouini, Rabai Aissa, 2014). The name of the project would be Future Data Protection and it would span over 6 months. The above chart shows the plan for Future Data Protection which would aim to prevent or at least minimise cyber threats and data thefts on the digital platforms of Amazon (amazon.com, 2018). The following are detailed steps of the project: Amazon should conduct a SWOT analysis to locate the strengths, weaknesses, opportunities and threats pertaining to its portals. This would include detecting the ways employees use its portals to share information during the course of the business operations. Amazon should conduct this assessment in the first two months and then resume it the fourth and sixth month (Holtfreter et al., 2015). The second activity would consist of assessment of security standards maintained by the third party users like the individual and corporate customers who use the portals of Amazon. This activity should proceed simultaneously with activity 1 (Dalkir Beaulieu, 2017). Amazon can involve customers and employees of to ensure that their activities can be streamlined with the organisational goal of preventing data thefts and application of total quality management (TQM). The third activity would be the outcome of the first two activities and would lead to recognition of cyber security loop holes. The activity would proceed along with the first two activities. Amazon should notify the concerned parties including employees, corporate customers, governments and individual customers about the threats detected in their user portals. The company should direct these parties to reset their passwords to check any further unauthorised access into their portals (Power, Sharda Burstein, 2015). The multinational company should make security measures more stringent and make passwords stronger. Any unauthorised attempts to enter portal should be blocked. The data usage should be combined with strategic human resource management (SHRM) to ensure that the staffs of Amazon also contribute towards data theft check project.third party users should also be trained to the usage of portals. The multinational company should train the parties regarding usage of passwords while using its portal to make online purchases (Laudon Laudon, 2016). Thus the company should combine SHRM and customer training to minimise unauthorised entry into its portals and loss of confidential data like financial data. Amazon should deploy trained security experts to locate and block unauthorised attempts to break the firewall and security checks of Amazon. Those experts would also be responsible for blocking authorised entries into its portals. Thus, here again Amazon can use SHRM to strengthen its portals and digital platforms. Amazon should keep a strict vigil on the usage of its portals. The security protocols and other systems should be changed from time to time to confuse the hackers. Methodology and the extent of its use in the project: The project experts should combine quantitative, qualitative and a combination of both to gain information about the project. One can reflect that in order to gain information regarding the technological advancements in the market, the company should use quantitative methods (Zhou, Fu Yang, 2016). Again while gaining historical information about data thefts in the past years in Amazon or in any other ecommerce or IT companies, the company can use qualitative data. The company can use quantitative and qualitative methods to obtain data on the losses it has suffered to due to data thefts. This shows that the company should use Disappointments, setbacks and problems: The disappointments that researchers would face are that all the corporate clients and individual customers may not cooperate with the company. Moreover, some may view the stringent security measures of the company as an invasion into their own data spaces. They as a result may change to the other ecommerce companies like ebay. (Henisz, Dorobantu Nartey, 2014). The problems which Amazon may face are lack of historical data and difficultly of access to data theft information which would prove to be a major setback for the project. (Zhou, Fu Yang, 2016). Future Data Protection and stronger protection against data thefts: The project would provide stronger protection against data theft and loss of potentially important data. This would save the company from losing confidential data of clients and their trusts. Thus it would help Amazon to deal with the second issue, loss of market goodwill (Holtfreter et al., 2015). The company can achieve this by using the technological power of the company ( outcome of the SWOT analysis). Prevention or at least minimisation of data theft: The strengthening of the data protection would prevent the company from losing its potentially important data due to invasion by unauthorised hackers. This would inStrengthen the financial position of Amazon: As pointed out the fall in loss of data due to data theft and growing trust of the customers would ultimately boost the goodwill of Amazon. This would in turn help it to attract more customers which would attract more revenue generation for the company. This increased revenue generation and customer base would attract investors. This would lead to rise of the share prices of Amazon and its subsidiaries as shown in the figure below. Thus, Amazon would be able increase its revenue generation and capital generation would fuel its future long term growth (Devdhar et al., 2016). Recommendations: One can recommend the following strategies to the apex management of Amazon to protect its portals from data theft: Strong passwords: The company should use strong passwords to protect its confidential data from unauthorised access. Unauthorised access should also consist of lower level employees who are not allowed access to certain databases due to security reasons. This strategy would prevent the lower level employees from gaining access to the data bases for their own gains. Employee training: The employees belonging to both high and low levels use the data in their day to day activities. These internal employees are often known to collaborate with hackers to exchange confidential company data in return of cash and other benefits. One can reflect and recommend that the apex management of the company should intervene in such matters and train employees ethically. The employees should realise that they are answerable to Amazon and its customers for their actions. The top managers should train these employees to act in ethical ways. The apex management should train and manage its human resources strategically to ensure that they contribute towards minimising data theft and loss of confidential customer data. Integration of central data theft detection with host country: Amazon operates all over the world through its subsidiaries and as a result face data theft challenges from all over the world. This means it is not possible for the home country government, the United States of America and its intelligence department to save the company from data theft alone. The company would also require help from its host country governments as well. This means Amazon should collaborate with police departments, crime detection agencies and all similar departments all over the world to minimise and deal with cyber security issues. The multinational company should also approach international agencies like the European Union to help it to fight data thefts and loss of potentially important data. This active support of home government, host governments and international organisations would enable the company deal with data theft more effectively. Interventions required: One can reflect on the above discussion and point out that the senior management should intervene and supervise the entire proceedings. The senior project manager, the senior engineers and the middle level managers should supervise the usage of data by clients and employees. They should take immediate action as soon as a hacking attempt is located or recognised. Any sort of monetary loss as a consequent of hacking should be brought into the notice of the police and intelligence department. Critical reflection: I can point out upon reflecting on the issue that Amazon is facing that the company should make its portals more password sensitive. Professionally and personally I also feel that employees should be more responsible while handling data and should not pass it on to outsiders unethically. I can point it out from my experience that the senior managers should strict and monitor the actions of their subordinates while they deal with data. The apex management should intervene and ensure that the juniors have access only to the data which they to require do their work. Any sort of unauthorised access by employees within the organisation should be dealt with very strictly. The apex management should use its human resources (SHRM) strategically to involve them in data protection. Conclusion: The above discussion shows that data theft is a serious threat to the business of ecommerce companies like Amazon. The threat lies in the fact that it is capable of not only hampering the business generation of Amazon but also the multinational companies using its services. The multinational company should take strong steps to prevent data thefts both from its portals and also its customers. The corporate organisations using the cloud computing and internet services of Amazon should cooperate with the company and help it to prevent data theft. The individual customers should follow the instructions of Amazon and make strong passwords and follow cyber rules while making online purchases. This would as a result help Amazon, its corporate customers and individual customers from losing potential important data. References: Ablon, L., Heaton, P., Lavery, D. C., Romanosky, S. (2016).Consumer attitudes toward data breach notifications and loss of personal information. Rand Corporation. Amazon.com. (2018).Amazon.com: Online Shopping for Electronics, Apparel, Computers, Books, DVDs more. [online] Available at: https://www.amazon.com/ [Accessed 8 Feb. 2018]. Dalkir, K., Beaulieu, M. (2017).Knowledge management in theory and practice. MIT press. Devdhar, A., Sonar, A., Phokmare, S., Govind, D. (2016). Fraud Application Detection.Imperial Journal of Interdisciplinary Research,2(5). Harangoz, G., Zilahy, G. (2015). Cooperation between business and non-governmental organizations to promote sustainable development.Journal of Cleaner Production,89, 18-31. Hedman, J., Henningsson, S. (2015). The new normal: Market cooperation in the mobile payments ecosystem.Electronic Commerce Research and Applications,14(5), 305-318. Henisz, W. J., Dorobantu, S., Nartey, L. J. (2014). Spinning gold: The financial returns to stakeholder engagement.Strategic Management Journal,35(12), 1727-1748. Holtfreter, K., Reisig, M. D., Pratt, T. C., Holtfreter, R. E. (2015). Risky remote purchasing and identity theft victimization among older Internet users.Psychology, Crime Law,21(7), 681-698. Jokar, P., Arianpoo, N., Leung, V. C. (2016). Electricity theft detection in AMI using customers consumption patterns.IEEE Transactions on Smart Grid,7(1), 216-226. Jouini, M., Rabai, L. B. A., Aissa, A. B. (2014). Classification of security threats in information systems.Procedia Computer Science,32, 489-496. Larson, S. (2018).Pentagon exposed some of its data on Amazon server.CNNMoney. Retrieved 5 February 2018, from https://money.cnn.com/2017/11/17/technology/centcom-data-exposed/index.html Laudon, K. C., Laudon, J. P. (2016).Management information system. Pearson Education India. Lindholm, M. E., Blinge, M. (2014). Assessing knowledge and awareness of the sustainable urban freight transport among Swedish local authority policy planners.Transport policy,32, 124-131. Olsson, L., Head, B. W. (2015). Urban water governance in times of multiple stressors: an editorial. psychology and Society,20(1). Overexposed? Data of 123 Million Households Leaked. (2018).Cutimes.com. Retrieved 5 February 2018, from https://www.cutimes.com/2017/12/27/overexposed-data-of-123-million-households-leaked?slreturn=1517861528 Power, D. J., Sharda, R., Burstein, F. (2015).Decision support systems. John Wiley Sons, Ltd. Prasad, A., Haldar, M. K. (2015). Model of Social Networking Information System making use of User's Location and Interface for Mobile Computing.International Journal of Computer Applications,116(23). van Tatenhove, J., Raakjaer, J., van Leeuwen, J., van Hoof, L. (2014). Regional cooperation for European seas: governance models in support of the implementation of the MSFD.Marine Policy,50, 364-372. Zhou, K., Fu, C., Yang, S. (2016). Big data driven smart energy management: From big data to big insights.Renewable and Sustainable Energy Reviews,56, 215-225.