Our Guest Speaker Dr. Stephanie Gonzaga Speaks To Ent 662580
Our Guest Speaker Dr Stephanie Gonzaga Speaks To Enterprise System
Our guest speaker, Dr. Stephanie Gonzaga, speaks to enterprise system implementations within her company, ARCS Commercial Mortgage Company ( INF220 Week One Information Systems - The Big Picture Part One (Links to an external site.) and INF220 Week One Information Systems - The Big Picture Part Two (Links to an external site.) ). Describe one measurement dimension of the “A Priori Model†using the dimension measurements in the “A Priori Model†diagram (See the Instructor Guidance). For example, data accuracy is a measurement of system quality. A system with good system quality integrates data input validation rules to allow only certain types of data input in specific fields.
Identify how Dr. Gonzaga’s IT organization provided enterprise systems that addressed the “A Priori†measurement dimension you identified: system quality, information quality, satisfaction, individual impact, or organizational impact. Give examples to illustrate your answer. Provide justification and citations for your points. Use the provided news report template for your post: INF220 Week 1 Hot Topics Enterprise Systems News Report .
Paper For Above instruction
Introduction
The successful implementation of enterprise systems relies on multiple measurement dimensions that evaluate their effectiveness and impact. The “A Priori Model” offers a framework that helps organizations analyze specific aspects such as system quality, information quality, satisfaction, individual impact, and organizational impact. In this paper, I focus on one measurement dimension—system quality—and analyze how Dr. Stephanie Gonzaga's organization, ARCS Commercial Mortgage Company, addressed this dimension through its enterprise system implementations. Understanding this relationship highlights the importance of system quality in achieving operational excellence and strategic objectives.
Defining the Measurement Dimension: System Quality
System quality is a critical dimension within the “A Priori Model,” referring to the performance, reliability, and responsiveness of an enterprise system (Haux, 2006). A high-quality system exhibits features such as minimal errors, swift data processing, user-friendly interfaces, and robust security measures. For example, system quality manifests in data input validation rules, which prevent incorrect or inconsistent data entry, thereby enhancing system dependability and decision-making accuracy (Seddon & Kiew, 1994).
Effective system quality ensures that users can trust the information produced, reduce errors, and improve efficiency. In the context of enterprise systems, maintaining high system quality involves continuous monitoring, regular updates, and user feedback incorporation to adapt to evolving organizational needs (Delone & McLean, 2003).
Implementation of System Quality at ARCS Commercial Mortgage Company
Dr. Gonzaga’s organization emphasizes system quality by integrating rigorous data validation protocols within their mortgage processing systems. For instance, the enterprise system only permits valid loan application data formats, such as numeric values for credit scores and properly formatted contact information, to prevent errors during data entry. Such validation rules reduce manual correction efforts and improve data integrity across the organization.
Another example is the deployment of a responsive and reliable loan management platform that provides real-time updates and error alerts to end-users. This system has minimized transaction processing delays and data discrepancies, which are common issues in mortgage operations. The enterprise system’s high availability ensures that employees can access critical data with minimal downtime, supporting efficient loan approvals and client service.
The organization also adopts an iterative development process, continuously refining system functionalities based on user feedback and technological advancements (Venkatesh et al., 2003). This approach sustains system responsiveness and reliability over time, further exemplifying their commitment to system quality.
Impact of System Quality on Organizational Goals
By prioritizing system quality, ARCS Commercial Mortgage Company has enhanced operational efficiency, reduced error rates, and increased customer satisfaction. Reliable systems facilitate quicker loan approvals, reducing turnaround times and improving the customer experience. Additionally, accurate data input validation reduces compliance risks and enhances decision-making accuracy at managerial levels (Maedche et al., 2016).
Furthermore, high system quality supports organizational agility by enabling swift adaptation to regulatory changes and market demands. It also fosters employee trust and satisfaction, as staff experience fewer frustrations related to system errors or sluggish performance (Hartwick & Barki, 1994).
In conclusion, ARCS Commercial Mortgage Company’s focus on system quality exemplifies how enterprise systems can effectively address the “A Priori Model” dimension, ultimately driving business success and strategic growth.
Conclusion
System quality remains a vital measurement dimension for the success of enterprise systems, directly impacting operational efficiency, data integrity, and stakeholder satisfaction. Through rigorous validation rules, reliable system performance, and continuous improvement, Dr. Gonzaga’s organization has effectively addressed this dimension, aligning their technological capabilities with organizational objectives. Recognizing and enhancing system quality thus plays a crucial role in achieving sustainable competitive advantage in the mortgage industry.