IT technologies are being used in almost all the industries as it has become the need of the modern day business. There are several benefits of using IT technologies when the companies adopt it. However there are challenges that companies face while implementing the IT technologies such as security and privacy of data. Within this report there will be illustration of the way in which LYFT has faced the negative side of the use of IT technologies in the form of data breach where their employees have stolen large amount of consumer’s private data.
“LYFT” came under the eyes of the people when news came out in 2014 that this company’s employees have been accessing the private data of the customers. Somehow the employees of the company got access to the private data of the people they serve using which they started spying on their customers (Edelstein, 2018). This news came out when one of its employees acted as a whistle blower where he states that through the app of LYFT the personal data of their consumers were taken and it was given to their employees. LYFT made it more unethical when they issued a statement that any employee making these kinds of allegations will be dealt strictly. The case got bigger when they found that even the details of Mark Zuckerberg were available with the employees of the LYFT.
In the transportation industry, IT strategy has become a mandatory or core strategy of the company. This is because the modern day transportation services are running with the IT technologies where there is higher use of personal data of the consumers. It is also mandatory for the global companies like LYFT to have a centralised database where they can store all the information and data generated through different business units in different parts of the world especially the real-time data (Trigub, 2017). Since the bulk of the data that is being generated cannot be handled and evaluated with the help of manual methods hence it becomes critical for the transportation businesses to make use of IT technologies.
The competition in the market has increased tremendously and hence companies have to be sure that they are running their businesses with efficiency. For this there is a need of use of IT technologies such as data technologies as the amount of crucial data that is generated in the business is quite large and without these data the business in modern days is quite tough. This ensures that a company will be able to design their business process in such a manner that they will be able to satisfy the needs of the consumers. All the strategies that ensure survival of the company must be made on the basis of the data that is available with the firm (Pearlson, Saunders and Galletta, 2019). IT technologies also help the transportation company improving their working capability such as it helps in improving the working methodology which has direct impact on the customer satisfaction such as navigation of the transportation so that customers can reach to exact place. If this technology is not used then whole existence of the modern day transportation services will under a threat.
IT system implementation that helps a firm in protecting the data needs following steps to be undertaken:
IT is utilised by different stakeholders of LYFT in different ways:
LYFT can use IT technologies for several advantages:
With the use of IT system the companies are prone to many kinds of risks. Due to lack of understanding about the privacy ad ethics the employees of LYFT used the data in an unethical manner. Such incidents create a risk of image failure in front of the people. Some other types of risks which the LYFT business model faces are:
With the help of more automatized technologies they will be able to monitor each and evert aspect of their business. It is also critical to take use of data management system as it helps in maintaining and monitoring the IT system by documenting everything. They also need to have an ethics team that evaluates the way in which data is being used in the organisation and informs the stakeholders if there is any inappropriateness (Bélanger and Crossler, 2011).
Conclusion
In conclusion it can be stated that IT has several types of advantages for the LYFT as it fulfils many of the needs of the company. It is not only necessary for the organisation but it is also essential for the survival of the company. The risks related to privacy, security and confidentiality of data remains in front of the LYFT when they take use of the data technologies. It is advised that the LYFT makes an ethics team that is only have the responsibility to monitor the way in which data is being utilised as it is necessary for reducing the negative impact of utilising data.
References
Bélanger, F. and Crossler, R.E., 2011. Privacy in the digital age: a review of information privacy research in information systems. MIS quarterly, 35(4), pp.1017-1042.
Dotterud Leiren, M. and Aarhaug, J., 2016. Taxis and crowd-taxis: sharing as a private activity and public concern. Internet Policy Review, 5(2), pp.1-17.
Edelstein, S., 2018. Lyft Investigates Claim That Employees Improperly Accessed Customer Data. [Online] Available at: https://www.thedrive.com/tech/17993/lyft-investigates-claim-that-employees-improperly-accessed-customer-data. [Accessed on 15th May 2020]
Finn, R.L., Wright, D. and Friedewald, M., 2013. Seven types of privacy. In European data protection: coming of age (pp. 3-32). Springer, Dordrecht.
Ives, B., Palese, B. and Rodriguez, J.A., 2016. Enhancing Customer Service through the Internet of Things and Digital Data Streams. MIS Quarterly Executive, 15(4).
Nie, Y.M., 2017. How can the taxi industry survive the tide of ridesourcing? Evidence from Shenzhen, China. Transportation Research Part C: Emerging Technologies, 79, pp.242-256.
Nunan, D. and Di Domenico, M., 2013. Market research and the ethics of big data. International Journal of Market Research, 55(4), pp.505-520.
Pearlson, K.E., Saunders, C.S. and Galletta, D.F., 2019. Managing and using information systems: A strategic approach. John Wiley & Sons.
Trigub, D., 2017. LYFT: USING TECHNOLOGY TO CONNECT AGING PERSONS WITH TRANSPORTATION ON-DEMAND. Innovation in Aging, 1(Suppl 1), p.70.
Verhoef, P., Kooge, E. and Walk, N., 2016. Creating value with big data analytics: Making smarter marketing decisions. Routledge.
Yazici, M.A., Kamga, C. and Singhal, A., 2013, October. A big data driven model for taxi drivers’ airport pick-up decisions in new york city. In 2013 IEEE International Conference on Big Data (pp. 37-44). IEEE.
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