Chapter 7 Exercise 3 Internet Exercise 7 When Submitting Wor ✓ Solved

Chapter 7 Exercise 3 Internet Exercise 7when Submitting Work Be

When submitting work, be sure to include an APA cover page and include at least two APA formatted references (and APA in-text citations) to support the work this week. All work must be original (not copied from any source).

Exercise 3 Case Questions (4 Questions): How could faster and cheaper experimentation result in more innovation at eBay? Could there be a point at which too much experimentation will be counter-productive? If internal infrastructure support for eBay’s Analytics as a Service (AssS) results in solid business value, could one assume than an outsourced, cloud-based AaaS implementation would perform similarly? Do you see any issues that might be forthcoming around the self-service facility for creating virtual data marts?

Sample Paper For Above instruction

Introduction

Innovation is crucial for the sustained growth and competitive advantage of technology companies like eBay. The ability to experiment rapidly and cost-effectively can significantly influence the rate and quality of innovation. This paper explores how accelerated and inexpensive experimentation can foster innovation at eBay, discusses potential downsides of excessive experimentation, evaluates the impact of infrastructure support for Analytics as a Service (AssS), and considers potential issues related to self-service virtual data marts.

Impact of Faster and Cheaper Experimentation on Innovation at eBay

Faster and less costly experimentation can serve as a catalyst for innovation at eBay by enabling the rapid testing of new ideas, features, and business models. When experimentation is streamlined and affordable, the company can deploy multiple tests simultaneously, gather data swiftly, and iterate quickly based on real-time feedback (Cheng & Van de Ven, 2020). This agility reduces the barriers to innovation, allowing eBay to stay ahead in a highly competitive e-commerce environment. It also fosters a culture of continuous improvement, where experimentation becomes an integral part of strategic development.

Potential Drawbacks of Excessive Experimentation

However, there is a threshold beyond which too much experimentation might become counterproductive. Over-experimentation can lead to resource dilution, where the organization diverts attention and resources from core business operations to numerous small-scale tests (Ghezzi & Azzini, 2019). Additionally, constant changes can cause operational instability, customer confusion, or resistance from stakeholders. Without proper governance, excessive experimentation may result in decision fatigue or misaligned initiatives that do not translate into meaningful innovation or value creation (Tidd & Bessant, 2018).

Internal Infrastructure Support for AssS and Cloud-Based Alternatives

If eBay’s internal infrastructure for Analytics as a Service (AssS) delivers substantial business value, it suggests a high level of capability in integrating and analyzing data internally. However, outsourcing this service and deploying a cloud-based AaaS could potentially match or even surpass internal performance due to economies of scale, advanced cloud technologies, and continuous updates (Marston et al., 2011). Nevertheless, trust, data security, latency, and customization are critical factors. Cloud-based solutions must ensure robust security protocols, compliance with data privacy regulations, and responsiveness to specific organizational needs to perform effectively comparable to internal systems (Subramani & Walden, 2014).

Issues Surrounding Self-Service Virtual Data Marts

While self-service facilities for creating virtual data marts democratize data access and empower business users, they also present challenges. Potential issues include data governance, quality, and security risks, as uncontrolled data access might lead to inconsistent or inaccurate insights. Moreover, lacking proper oversight, there can be data silos or duplication, complicating enterprise-wide analytics efforts (Leeflang et al., 2014). Proper controls, comprehensive training, and clear policies are necessary to mitigate these issues while maximizing the benefits of self-service analytics.

Conclusion

In conclusion, enabling rapid and cost-effective experimentation can significantly drive innovation at eBay, provided it is managed carefully to avoid diminishing returns. Internal infrastructure support for AssS offers valuable advantages, but cloud-based alternatives can be equally effective if security and customization concerns are addressed. Self-service virtual data marts offer considerable benefits but require robust governance to prevent potential risks. Strategic management of these technologies and processes is essential to maximize their positive impact on eBay’s innovation capabilities.

References

• Cheng, B., & Van de Ven, A. H. (2020). Organizational Innovation and Innovation Management. Journal of Business Venturing, 35(2), 105932.
• Ghezzi, A., & Azzini, R. (2019). Innovation management: From concepts to implementation. Business Horizons, 62(4), 423-432.
• Leeflang, P. S., Wieringa, J. E., & Verhoef, P. C. (2014). Business analytics: Challenges, opportunities, and future research directions. Journal of the Academy of Marketing Science, 42(4), 502-510.
• Marston, S., Li, Z., Bandyopadhyay, S., Zhang, J., & Ghalsasi, A. (2011). Cloud computing — The business perspective. Decision Support Systems, 51(1), 176-189.
• Subramani, M., & Walden, D. (2014). How information technology ambidexterity influences strategic agility. MIS Quarterly, 38(3), 791-808.
• Tidd, J., & Bessant, J. (2018). Managing Innovation: Integrating Technological, Market and Organisational Change. Wiley.