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Change Management
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What is Change Management?

Change management is the structured study of how organizations plan, execute, and sustain significant shifts in strategy, structure, processes, or culture. It appears across business school curricula in courses on organizational behavior, operations management, and strategic management, among others. The topic draws academic interest because organizational change is both inevitable and notoriously difficult — companies must adapt to competitive pressures, technological shifts, and internal transformation while managing the human dimensions of disruption. Papers on this subject frequently engage with how resistance among employees shapes outcomes and why implementation so often falls short of intention.

The archived papers approach change management from several distinct angles. Some take a theoretical or model-building perspective, asking students to develop or critically evaluate change frameworks. Others are case-study driven, using real organizations — including Toyota and Nissan's Revival Plan — to test how contingency and systems perspectives explain outcomes. A smaller set focuses on project-level implementation, such as the Navy Marine Intranet project, while others examine leadership figures like Rosabeth Kanter to understand how individual agency influences organizational transformation. Comparative and evaluative approaches are common throughout.

A strong essay on change management begins with a focused thesis that connects a specific change process to a clear outcome or problem, rather than surveying the topic broadly. Evidence drawn from organizational case studies, process data, or established change models tends to carry the most analytical weight. The most common pitfall is treating resistance as a minor obstacle rather than a central variable — strong papers treat employee response to change as substantive evidence that needs explanation, not a complication to be briefly acknowledged and set aside.

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Research Paper Undergraduate
Organizational change management and resistance at Humana
Change management involves thoughtful planning and sensitive implementation, and above all, discussion with, and involvement of, the people affected by the changes. If a company forces change on people in general…
Essay Doctorate
Project management maturity at DFCU: culture and change management
According to the text by Kerzner (2006), one of the most critical paths to refining key best practices is the establishment of a positive and effective company culture. It is the orientation of the organisation and its…
Research Paper Doctorate
Managing organizational change: drivers, implementation, and resistance
Organizations function within a changing environment. Political, Economic, Social and Technical - PEST factors have an effect on an organization. Change is unavoidable and the difficulty managers face how to control…
Paper Masters
Contingency approaches to organizational change management and leadership styles
The adage "different strokes for different folks" may seem to be apropos only to people; however, looking at the matter in depth, it is apparent that the same goes true for various organizations.
Paper Doctorate
Starbucks' business model and competitive position: a SWOT analysis
Starbucks is the leader of the coffee and coffee based beverages industry across the world, having transformed the simple act of drinking coffee into a valuable and memorable experience. The business model implemented by the firm is based on the creation of various coffee and coffee based beverages, of a multitude of flavors and sold in pleasant stores across the globe. The Starbucks stores integrate relaxing and modern ambiance, free wireless internet, pleasant music and they are the fashionable place for young adults to meet and share enjoyable experiences.
Essay Doctorate
Costs and benefits of implementing groupware in enterprises
There are many varying definitions of groupware yet all share a common attribute or characteristic of enabling collaboration, sharing knowledge and providing work teams with greater insight and intelligence into operations. The intent of groupware is to create a scalable, reliable and agile platform for sharing information and knowedlge, both tacit and implicit, throughout distributed enterprises (Kline, 2001). Best practices in groupware encompass interdepartmental, intradivisional and enterprise-wide integration of content and knowledge management processes and systems (Corbitt, Martz, 2003). The benefits of such a pervasive platform for information and knowledge sharing has shown to deliver quantifiable gains in corporate-wide productivity and performance, leading to greater profitability as well (Lukosch, 2004) (Meroño-Cerdán, 2008). With so many benefits and contributions of groupware, it's surprising that more organizations don't adopt these series of technologies to attain their corporate-wide information and knowledge management strategies. In reality implementing groupware is exceptionally difficult because it forces people in companies to change how they work (Chen, Hao, 2002) (Ellis, Gibbs, Rein, 1991). It takes an exceptional level of trust in the implementation and leaders of the implementation to make groupware projects translate into long-term change within any enterprise (Corbitt, Martz, 2003). The technology is the easy part; getting people to change is hard. This paper compares the costs and benefits of groupware, deciding if it is worth it as an enterprise strategy.
Research Paper Undergraduate
Change management strategies in large and small organizations
Change Management in Large and Small Firms: Response Recommendation
Essay Doctorate
Big data analytics and enterprise decision-making in modern organizations
The level of uncertainty and risk that pervade many enterprises today is growing, as the dynamics and economics of markets are changing rapidly. The many rapid, turbulent structural changes in industries is also leading to a greater reliance on analytics and the nascent area of Big Data as well. The potential of this second area, Big Data, is in determining patterns in massive data sets that have in many cases been collected for decades within enterprises. The abundance of data within enterprises, when combined with Big Data aggregation and analytics techniques, can be used for drastically reducing risk and uncertainty in even the most challenging and fast-moving industries. Big Data is being hyped heavily by analytics systems and enterprise application providers as well, as this category of software allows for the use of long-standing analytics and business intelligence (BI) tools expanded supporting larger data sets. Many companies today are working to create enterprise-wide platforms for managing massive data sets, many of them integrating legacy and 3rd aprty databases many of which have never been integrated into a broader platform strategy before (Jacobs, 2009). These larger data sets and their inherent complexity make the overall analysis, aggregation, creation of taxonomies and customizing of reports challenging and difficult to achieve with the baseline or current set of analytics and BI tools available today however. The continual evolution of these applications and the fine-tuning of specific aggregation technologies including Hadoop and Map Reduce (Jacobs, 2009) have also contributed to making Big Data a more strategic foundation fro decision making. Enterprises are facing greater time and cost constraints than ever before, which also leads to the create and continually invest in larger data sets, analytics, BI and advanced reporting technologies all orchestrated to make the most of the terabytes of legacy data companies have (Chisholm, 2009). The rapid development of analytics, BI and data reporting platforms and tools has led to a level of innovation in enterprise software that is making it possible for enterprises to get more insights from the terabytes of data they have been collecting for decades. This category of software tools include analytics, BI, data visualization, product lifecycle data and predictive analytics all orchestrated to create a common platform for reducing risk while bringing greater intelligence into an organization (Ericson, 2010). As is the case with any high growth enterprise software category, there is an abundance of hype surrounding what these analytics and BI platforms and tools are and aren't capable of. The tendency to overlook the very difficult processes to extracting, transferring and loading (ETL) data from legacy systems and creating a highly effective ecosystem of data is very expensive for companies who have never attempted this before. Further, the methodologies needed for consistently and accurately capturing the data within a given enterprise require a level of discipline that many companies are lacking in their core process areas (Jacobs, 2009). Simply put, it is very hard work to capture all the heterogeneous sources of data throughout an enterprise, from the legacy systems to the 3rd party databases, and then perform ETL functions on them in order to create a new system of record for the entire organization to make use of (Ericson, 2010). Yet for organizations to capitalize on the potential that exists from these many diverse forms of information, intelligence and insight throughout their businesses, they must take the time and effort to create a unified, highly integrated single system of record to galvanize their Big Data strategies together (Jacobs, 2009). The objective of this analysis is to provide the arguments for and against having Big Data included in the strategic decision-making process within an enterprise. The strengths are presented first, followed by the weaknesses of this approach to harnessing data throughout an enterprise. The strengths and weaknesses are next compared and an assessment provided. One of the most prevalent technologies used for accomplishing Big Data analytics and intelligence are MapReduce and Hadoop, two aggregation technologies that can compress terabytes of data into taxonomies and quickly analyze them (Jacobs, 2009).
Essay Doctorate
SWOT analysis of Arena Flowers' business functions and growth strategy
The organizational development aspect of the company needs strengthening. Whilst it is good that Wayne is not autocratic and sounds flexible and relaxed, his nonchalant manner may be adversely affecting the culture and organizational environment of the company. The company may need more structure and direction and may need to form for itself a message and a focus; and needs to connect all the different parts of its organization so that each is aware of the functions of the other, communicator well together, and in effective correspondence with one another. In this way, customer service will be more effectively and rapidly met without the company wasting money on resources, labor, and other aspects of their service. AF would be advised to hire an objective evaluator – either a consulting company or an OD expert - who would offer a skilled analysis and advice on how to improve the company in each of its processes and on all of its levels. They should set goals defining where their difficulties are, and where they wish to improve.
Paper Doctorate
Goal translation and change management in STM's TQM initiative
The concept of "goal translation" in the context of the STM case is critical to the success of the entire TQM initiative and strategy. The single most critical success factor for any TQM initiative is change management…