Supply Chain Management
Essays

The compelling economics of cloud computing are leading enterprises to question their long-held assumptions that the annual maintenance fees they are paying for on-premise editions of their ERP are justified. In addition, these same economics of cloud computing are making it possible for entire divisions of an enterprise to be up and running within weeks instead of months or years, on cloud-based ERP platforms (Banerjea, 2011). The economics of cloud computing are also re-ordering the financial landscape of enterprise software, putting line-of-business leaders in a more direct and influential role relative to the purchase of enterprise software (Gill, 2011). All of these factors taken together form the catalyst of how migrating to standardized ERP systems delivered via cloud computing are changing how enterprises evaluate, implement and value software. Migrating Standardized ERP Systems To A Cloud Computing Environment At the most fundamental architectural level of migrating standardized ERP systems to a cloud computing environment are the evaluation, planning and implementation of process and system integration throughout a company. For a standardized ERP system to be effective in a cloud computing environment, there must be integration in place to legacy databases, potentially secondary ERP systems already implemented and in use, in addition to pricing, Customer Relationship Management (CRM) and Supply Chain Management (SCM) systems as well (Yoo, 2011). All of these systems need to be orchestrated with the cloud-based ERP system to ensure this new system can immediately deliver valuable information, insightful analysis and useful data based on the company's activities(Armbrust, Fox, Griffith, Joseph, et.al., 2010). Once this foundation ahs been created that provides for the cloud-based ERP system to be effectively used across the enterprise due to its integration, the most critical manufacturing, supply chain, and customer management processes need to be defined and then integrated to the new system. The most common areas where a standardized ERP system will typically be used is in streamlining the supply chain management, pricing and distributed order management functions of a business (Symonds, 2012). These three functions are essential for the successful operation of a manufacturing-centric business, which is where the majority of cloud-based ERP systems are being delivered today (Creeger, 2009). These three core areas of supply chain management, distributed order management and pricing also form the foundation of advanced financial reporting systems, which provide enterprises choosing to deploy these systems with greater visibility into their transaction workflows and their relative efficiency (Gill, 2011).

Using the analogy, "a chain is no stronger than its weakest link," draw a comparison between that concept and the principles of Supply Chain Management.

From the perspective of making online payments, the problems most often encountered by customers and vendors when making e-business payments electronically are related to volume of sales.

Supply Chain Management in the 21st Century

It is a new era of transparency and compliance in accounting practices within public and private companies, and this is completely changing the role of annual reports and strategic plans.

Never before has the creation, aggregation, aligning of information to the needs of an enterprise and its effective and secure use meant more to the viability of businesses globally. The most powerful lesson learned in this course is that data, information and knowledge are the most powerful competitive forces any enterprise can rely on today to differentiate itself in maturing markets while seeking out entirely new, high growth opportunities. The combining of analytics, advanced accounting and financial reporting applications, pervasive adoption of enterprise applications for Customer Relationship Management (CRM), Enterprise Resource Planning (ERP), Supply Chain Management (SCM) and many other tasks are accelerating how quickly enterprises can minimize risks while seizing opportunities. Another invaluable lesson learned in this course is how critical it is to plan for change from a personnel, process and systems perspective. The combining of people, processes and systems is critically important for the technologies that the many systems are based on to succeed. This course has shown that only by concentrating on people as the most critical part of any technology-related and automation-based strategy will any effort succeed. It is the ability to manage change and mitigate the resistance to it while automating key tasks through an enterprise-wide strategy that delivers the most effective and longest-landing benefits. The integrating of people, processes and systems in a triad that is framed with a governance framework that ensures consistency and ethical operation is essential to compete in the 21rst century. Setting The Foundations Of A Learning Framework Throughout this course the foundational elements and concepts of how to be an Information Technologies (IT) strategist have been learned. As this course progressed my perception of what an IT leader has changed. From seeing the CIO as the leader of IT systems definition, deployment and management to seeing the same role as more of a strategist that relies on IT systems to assist in strategic objectives being attained, my perception of what kind of CIO I want to be has drastically changed. No longer wanting to be the provider of the IT dial tone, I want to be an IT strategist that leads enterprises to attain their strategic goals through the intelligent use of technologies. This shift in perception of what a technology leader is, and has been in the past compared to what needs to be done in the future, was very illuminating. The delineation of the foundational elements of any IT system, including how to delineate data from information and how to transform tacit and explicit knowedlge into expertise, all have been learned in this course. These concepts, along with the many techniques learned regarding change management, governance, and the need to align IT systems to strategic plans and initiatives, made this class a pivotal one. The many processes that are required for transforming data and information to knowledge can lead any IT department to become myopic; only by concentrating on the overarching strategic objectives and plans, and continually asking who is being served with the efforts of IT departments can any strategy hope to succeed. The cases studied and the cautionary tales of failed IT projects all reverberate with a common thread of losing sight of just who the customer for the programs or projects were and why the systems were developed in the first place. These cautionary tales also showed how powerful successful change management programs are, specifically how IT and business leaders need to concentrate on relying on technology-based systems to support the sociotechnical aspects of an enterprise. The sociotechnical aspects of any enterprise need to be kept in balance as technology is used to bring greater accuracy, clarity, insight, intelligence, knowledge and precision into the decision-making processes of enterprises. Orchestrating all of these factors in unison with each other makes the galvanizing force of a strategic plan and its associated objectives a critical aspect of any IT strategy.

There are several significant advantages of using qualitative measurements in marketing research. The most significant is the ability to capture the voice of customers that may have evaded the more structured, numerically-based approaches that force respondents to provide a specific set of answers. Qualitative research can also lead to entirely new insights into a new market or service that has not been seen in the past, given the open-ended questions inherent in this approach to research. Qualitative research techniques also can be used to capture the shared knowledge of experts as well, as the Delphi Technique is so well-known and used for. Capturing the tacit expertise and knowledge of a specific group of thought leaders can also be accomplished using qualitative techniques as well. Additional advantages of qualitative measurements include the ability to complete greater exploratory or primary research into a specific subject, often following a specific line of questions as they develop within an interview. An additional advantage of qualitative research techniques are the ability to understand how prospects and customers make trade-offs on substitute products and services. While price elasticity studies are often highly quantitative in scope, the use of interactive discussions of pricing trade-offs can be highly effective in determining just how much a prospect is willing to sacrifice price for a given feature or benefit. The total value of a brand can also be ascertained through the use of these types of qualitative techniques, providing respondents with the ability to define in their own terms the value of the experience a brand delivers. The many advantages of qualitative research are predicated on having more interactive sessions with respondents, including the ability to ascertain how they make trade-offs over time on value versus price. For the many advantages of qualitative measurements, there are several disadvantages as well. First, the results of any study predicated on this approach cannot be analyzed at the higher levels of statistical analysis. As the results of studies and research completed with qualitative measurements are by nature not nominal, ordinal or interval in terms of data orthogonality, they cannot be used to represent an entire customer or segment population. At best they can be used as a means to capture nominally-based data that can lead to only a rough approximation of an overall market size or series of market dynamics. Qualitative data can only be as useful as the means used to capture it as well; if a methodology is very informal and focused on a series of loosely-guided objectives, the overall data will of mediocre quality at best. When the goals and objectives of a research study, in addition to the sampling frame and methodology lack rigor or precise focus, the resulting research can also lack precision and meaning. It is more difficult to create greater levels of meaning and transferability of data when the methodologies are highly qualitative in scope; the data is only relevant for a specific series of objectives and often is defined by applicability to a given point in time as well. Qualitative data is often also open to interpretation, as the methodology can be debated in terms of its relative appropriateness, robustness and value over the long-term. Finally, qualitative data cannot be taken entirely on its own; it must be combined with a series of other research sources to ensure relevancy and accuracy of interpretation, especially over time. In conclusion, qualitative data needs to be taken in context and often balanced with quantitative data to ensure a 360-degree view of a given situation or strategy of interest has the greater level of insights gained from research efforts.

The intent of this analysis is to evaluate the history and core business of Amazon.com and Border's Books, comparing and contrasting their respective management approaches related to Internet marketing include…

The costs at Publix are competitive; the prices are not, leaving the company exposed to potential threats. Taking a look at the Publix value chain, we can see that they have a cost advantage on the supply side over some…

The rapid evolution of computer networking is completely redefining the role of computer and system engineering within companies globally, in addition to making the management of these systems critical for long-term…