Why Today’s Change Challenges Demand More Change Capability, Not Less.The change marketplace is crowded with strong opinions about why change has become more difficult and why certain approaches are no longer sufficient. Many of today’s dominant narratives are framed as objective descriptions of reality: accelerated change, rising complexity, volatility, and rapid advances in technology such as artificial intelligence (AI).
In many cases, these narratives are well-intended attempts to acknowledge the real pressures leaders and organizations are facing. At the same time, they are often used to build a case for alternative solutions, to position Prosci’s structured, research-based approaches...
Why Do ERP Implementations Fail?
Enterprise resource planning (ERP) system implementations are one of the most significant investments organizations make. They promise streamlined processes, improved visibility, stronger reporting, and scalable growth. Yet, ERP implementation failure remains a persistent challenge. Delays, budget overruns, low adoption, and unrealized value are common undesirable outcomes that today’s enterprises experience. The difference between success and failure rarely lies in the ERP software itself. More often, ERP implementation success hinges on how effectively organizations support the people side of change. This guide highlights why ERP implementations fail and how structured change management mitigates risks to protect both the investment and the intended business outcomes. × Your ERP Will Go Live. Will It Deliver Value? Understanding the Main Causes of ERP Implementation Failure Conventional ERP wisdom and practices suggest that ERP implementation projects fail due to technological challenges. But Prosci’s 2025 Unlocking ERP Implementations study found that human factors matter 6 times more than technical factors in improving ERP benefits. Human and organizational factors, not technical issues, are the primary causes of ERP failures. First, resistance to change is a significant barrier, often led by executives who initially champion the project but later become resistant once implementation begins. This resistance can create a ripple effect throughout the organization, undermining efforts to gain buy-in and support from other stakeholders. Second, inadequate change management practices are a key contributor to failure. Many organizations underestimate the importance of following a flexible change management approach, which is essential for addressing the people-related challenges that are often the primary determinants of project success. Effective ERP change management can significantly increase the likelihood of meeting project objectives by ensuring that individuals are prepared, equipped, and supported throughout the change. Last, while human and organizational factors are the primary drivers of ERP implementation project failure, excessive ERP system customization can complicate upgrades and maintenance, leading to unforeseen technical challenges and lower ERP adoption rates. While customization can be necessary to meet specific business needs, it must be balanced with standardization to avoid unnecessary complexity. Organizations should ensure that any custom features are genuinely needed and not redundant with existing capabilities. Reasons for ERP Implementation Failure ERP implementation project failure often stems from a combination of factors. Understanding common causes of failure can help your organization proactively reduce risks and improve ERP project outcomes. Lack of clear business objectives ERP initiatives require clear, measurable objectives beyond broad goals such as “address inefficiency.” With ambiguous goals to work toward, success is difficult, if not nearly impossible, to measure. When stakeholders can’t articulate or agree on what they want the ERP system to achieve, decision-making becomes more difficult and reactive. Clear business objectives define the scope, guide configuration choices, and provide teams with measurable outcomes to work toward, creating a shared vision of success. Data quality issues Successful ERP implementations rely on high-quality data migration. When data quality is poor, ownership is unclear, and data standards are inconsistent, significant disruption occurs during technical configuration. These issues not only affect testing and go-live but can also limit the benefits the ERP system provides post-go-live. When legacy data is inaccurate or incomplete, the new ERP system inherits those issues, eroding user trust. Unrealistic timelines The ERP implementation process is a complex, cross-functional effort that requires time for strategic planning, configuration, integration, testing, training, and continuous improvement. Compressed timelines and poor planning often lead to shortcuts that later cause severe consequences. When timelines don’t accurately reflect resource capacity, organizational complexity, or change readiness, work quality suffers, and adoption risks increase. This results in rework, budget overruns and operational strain. Human transformation (training & leadership) ERP systems serve as catalysts for transformation, but focusing on the technology alone is a pitfall for many teams. Prosci research shows that human factors matter 6 times more than technical factors in improving ERP benefits. Organizations that don’t focus on how people need to change their behaviors, processes, and roles to align with the new system risk ERP implementation failure. Teams need to allocate resources toward human transformation at the beginning of the project for success. This includes strong leadership and active sponsorship, training, communication, stakeholder engagement, and change management. Over-customization of the ERP system Replicating legacy processes by customizing an ERP system results in increased costs, added complexity, and a greater long-term maintenance burden. Over-customizing the system upfront can also make it more difficult for users to adopt it. While some configuration is necessary, excessive customization hinders adoption, undermines scalability, and makes future upgrades more difficult. Insufficient user testing ERP system adoption relies on user usage and behavioral change, and testing validates real-world business processes to bring use cases to life. When user testing feels rushed, under-resourced, unrepresentative, or is missing altogether, critical issues can surface after go-live, making the ERP system unusable. Thoroughly involving functional users in testing is necessary to identify gaps, reduce operational disruption during the transition, and build confidence in the system for ongoing use. ERP misalignment (software, growth stage, users) Not all ERP systems are the same. ERP implementations can fail when organizations select software that doesn’t align with their team’s size, complexity, growth trajectory, or user maturity and readiness. Overly complex or limiting systems that don’t align with the organization's context create friction and pose adoption risks. Proper alignment requires not only evaluating features but also organizational readiness, long-term strategy, and scalability requirements. Inadequate ERP change management Prosci research shows that ERP implementation failures frequently stem from human and organizational factors, including a lack of, or inadequate, change management. When teams underestimate and under-resource ERP change management efforts, value realization suffers. Equally important, change management is a critical ingredient for driving adoption and must start at the beginning of the ERP implementation. A structured change management approach, including training, stakeholder engagement, and communication guides the people side of change. Weak post-go-live support Organizations that treat go-live as the finish line misunderstand when ERP value materializes. Without systemic feedback channels, reinforcement, and ongoing issue resolution, organizations risk failing to achieve the business outcomes they define. Creating two-way communication channels for employees to provide feedback and share concerns is crucial for building long-term ERP system adoption. ERP implementations require sustained investment in measurement and optimization post-go-live to achieve the best results. The Role of Change Management in ERP Implementation Change management recognizes that organizational change occurs only when individuals move through the change journey. This approach is critical in ERP implementations, where success depends on employees adopting and using the new system effectively. Without addressing the human side of change, even the most robust technical solutions can fail to deliver expected organizational benefits. But organizations shouldn’t think of change management as an ad hoc activity. Organizations that successfully implement ERP systems and achieve their objectives use a change management approach. For example, the Prosci Methodology is a structured, adaptable, repeatable approach that helps individuals navigate organizational change, including ERP implementations. The Prosci Methodology helps organizations prepare, equip, and support individuals as they adopt new values, skills, and behaviors necessary for successful ERP implementation. Effective change management also helps mitigate risks associated with resistance, redesigns, rework, and retraining. By focusing on people readiness, organizations can prevent costly delays and ensure that the ERP system delivers its intended value. How to Avoid ERP Implementation Failure Avoiding ERP implementation failure requires disciplined planning, strong governance, and a deliberate focus on the people side of change. Consider the following to avoid ERP implementation failure: Define clear, measurable business objectives – Work with key stakeholders to define specific and measurable outcomes the ERP system must deliver. Early change management integration – Ensure change management is part of the project from the beginning to avoid challenges later. Align change management activities with project milestones for the best results. Clear communication – Develop tailored strategies to ensure all staff and stakeholders understand the changes. They need to understand what is changing, why it matters, and how it will affect their roles. Invest in change management and training – View ERP implementations as organizational transformations that involve technology. Prioritize effectively managing the people side of change and allocating sufficient resources to do so. Limit customization – Adopt standard ERP functionality as much as possible in the beginning. Save customizations for phased future upgrades to reduce complexity. Set realistic timelines and budgets – Plan conservatively and overestimate the time needed for each milestone to offer some runway. Involve users throughout the lifecycle – Engaging functional users during design, testing, and validation builds ownership and uncovers gaps early. Continuous user involvement increases adoption and reduces post–go-live disruption. Choose the right ERP vendor and implementation partner – Software selection and vendor capability must align with organizational size, industry, and long-term strategy. Consider both technical implementation partners and change management experts. Plan for long-term optimization – Establishing a post–go-live support model, performance monitoring structure, and continuous improvement plan ensures the system evolves with the business. Prevent ERP Implementation Failure with Effective Change Management ERP implementation failure reflects misalignment between strategy, execution, and organizational change readiness. Clear objectives, realistic planning, and engaged sponsors play critical roles in reducing the likelihood of failure. However, even the most well-managed technical implementation will struggle to produce quality results when people are not adequately prepared to adopt new processes and change their ways of working. Effective change management that supports human transformation is a deciding factor between failure and success. Can you afford for your change to fail? We know from experience that successful change happens when it’s treated as a discipline, not as an add-on to a project. FAQs Why do ERP implementations fail? ERP implementations often fail due to a combination of factors, including unclear business objectives, unrealistic timelines, excessive ERP customization, and insufficient user testing. While technical challenges can contribute, Prosci research suggests ERP implementations are human transformation challenges that involve technology. Successful implementations focus on human transformation and incorporate change management throughout the project. What percentage of ERP implementations fail? Prosci’s 2025 Unlocking ERP Implementations study found that ERP implementations “fail” — defined in the research as implementations that fall below expectations (deliver <70% of expected business benefits) — between 11% and 31% of the time, depending on factors such as training timing, implementation duration, and organizational characteristics. How often do ERP implementations fail? On average, Prosci research shows that failure occurs in about 1 in 5 ERP implementations, defined as those that fall short of expectations. This risk can rise significantly when organizations fail to account for the challenges of human transformation. Prioritizing effective training, stakeholder engagement, and change management expertise can help prevent failure. How do I avoid ERP implementation failure? Avoiding ERP implementation failure requires clear, measurable objectives, realistic timelines, strong governance, early integration of change management, and sustained leadership sponsorship. Many organizations spend a majority of their budget (92%) on technical activities (Best Practices in Change Management, 12th Edition). But organizations that allocate resources to support the people side of change significantly improve their chances of achieving long-term success.
Understanding Organizational Culture and Its Role in Change Management
Organizational culture is the shared set of values, beliefs, behaviors, and everyday practices that shape how work actually gets done. It influences how decisions are made, how leaders lead, how teams collaborate, and how people respond when priorities shift or pressure rises.It’s experienced, not declared. It shows up in how people treat one another, how leaders respond to challenges, and how consistently actions align with stated values. And because culture is expressed through behavior, it is constantly being reinforced or reshaped by the way organizations introduce, manage, and sustain change. Company culture and change management are inseparable because every change initiative either strengthens or weakens culture based on how well it aligns with existing norms, engages people, and enables new behaviors to take hold. × Can You Afford for Your Change to Fail? Why is Organizational Culture important? Organizational culture matters because it directly shapes how people show up, perform, and stay engaged, especially during periods of change. While strategy defines where an organization wants to go, culture determines whether people are willing and able to go there together. Employee Engagement and Performance Culture sets the conditions for engagement. When expectations are clear, behaviors are reinforced consistently, and people feel supported through change, employees are more likely to stay focused, productive, and committed to doing their best work. Research from Gallup reinforces this connection: employees who strongly agree that they feel connected to their organization’s culture are 4.3 times more likely to be engaged at work and 62% less likely to experience frequent burnout. Attracting Talent Culture plays a critical role in how organizations are perceived by prospective employees. Candidates look beyond job descriptions to assess how leaders lead, how teams collaborate, and how change is handled in practice. According to Glassdoor, 77% of adults say they would consider a company’s culture before applying for a job. Retaining Talent Employees are more likely to stay when the organization’s culture aligns with what it promises and when change is managed in a way that respects people’s roles, workloads, and concerns. More than half of employees report that culture matters more than salary when it comes to job satisfaction, underscoring how strongly day-to-day experience shapes commitment. Organizational Success A workplace with a healthy, resilient culture is better equipped to navigate disruption, adapt to new ways of working, and realize the full value of change initiatives. When culture supports adoption and reinforcement, change becomes repeatable—and organizational performance improves as a result. Types of Organizational Culture Many organizations draw on the Competing Values Framework (CVF), developed by Robert E. Quinn and Kim S. Cameron, to understand common organizational culture patterns. The CVF outlines four widely recognized culture types based on how organizations balance flexibility versus stability and internal versus external focus. While no organization fits neatly into a single category, these patterns provide a useful lens for anticipating how people may respond to change. One of the strengths of the Competing Values Framework is its ability to make cultural tradeoffs visible. By mapping flexibility versus stability and internal versus external focus, the framework helps leaders recognize that culture involves competing priorities rather than fixed labels. Most organizations operate across multiple culture types at once, and effective change management requires adapting approaches based on which values are most dominant in a given context or initiative. Formal vs. Informal Culture In a formal culture, structure, policies, and defined processes guide how work gets done. Change management in these environments benefits from clear governance, documented roles, and consistent communication. In a more informal culture, work is shaped by relationships, trust, and adaptability, requiring change leaders to rely more heavily on influence, collaboration, and peer networks to build alignment and momentum. Adhocracy An adhocracy culture emphasizes innovation, experimentation, and agility. These organizations value speed and creativity over predictability. Change management in an adhocracy works best when employees are empowered to test ideas, iterate quickly, and adapt as conditions evolve, rather than being constrained by rigid plans or controls. Clan A clan culture is relationship-driven, with a strong emphasis on collaboration, shared purpose, and a sense of belonging. In these environments, change management should focus on creating opportunities for dialogue, reinforcing trust, and building support networks that help people move through change together. Hierarchy A hierarchy culture prioritizes stability, consistency, and control through clear roles, procedures, and decision rights. Change management in hierarchical organizations requires disciplined communication, well-defined expectations, and reinforcement of the rationale for change, while ensuring alignment with existing structures and governance. Market Culture A market culture is results-oriented and competitive, with a strong focus on performance and outcomes. In these settings, change management is most effective when initiatives are clearly linked to goals, metrics, and accountability, helping employees understand how new behaviors directly contribute to success. Characteristics of Good Organizational Culture A good workplace culture is not defined by slogans or stated values alone. It is reflected in consistent behaviors, shared expectations, and the way people respond to both everyday work and moments of change. Healthy cultures make it easier for people to do their jobs well, collaborate effectively, and adapt when new ways of working are introduced. Characteristics of a Positive, Thriving Culture In a strong culture, people understand what is expected of them and feel supported in meeting those expectations. Trust is built through transparency and follow-through, not promises. Leaders model the behaviors they ask of others, and employees feel comfortable raising concerns, sharing ideas, and learning from mistakes. Change is approached with clarity and intention, reinforcing confidence rather than uncertainty. Thriving cultures also demonstrate alignment between words and actions. Decisions reflect stated priorities, performance is recognized consistently, and accountability is shared. Over time, these patterns create an environment where people are engaged, motivated, and willing to adopt new behaviors when change occurs. Characteristics of a Strained or Unhealthy Culture In contrast, a strained culture often shows up as confusion, inconsistency, or disengagement. Expectations may shift without explanation, leaders may say one thing but reward another, and employees may feel uncertain about how decisions are made. Resistance to change increases not because people are unwilling, but because trust has eroded or past change experiences were poorly managed. In unhealthy cultures, silos form, communication breaks down, and people default to protecting themselves rather than collaborating. Change initiatives may stall as new behaviors fail to take hold, reinforcing skepticism and fatigue. How to Assess Organizational Culture Because company culture is expressed through shared behaviors and practices, effective assessment focuses on observable patterns instead of merely stated values or intentions. A clear understanding of current culture creates a baseline for making informed decisions, especially when preparing for or managing change. In fact, Prosci research consistently shows that understanding corporate culture is a critical success factor for change, with 87% of practitioners identifying cultural awareness as important or very important when managing change. Methods for Assessing Organizational Culture Organizations commonly use a combination of qualitative and quantitative methods to assess culture: Surveys provide broad insight into shared perceptions and patterns across the organization. When designed well, they highlight consistency, misalignment, and areas where experiences differ by role, function, or location. Interviews allow leaders to explore how people interpret expectations, experience leadership behaviors, and respond to change. Focus groups surface collective dynamics, revealing how teams collaborate, where friction exists, and how norms are reinforced or challenged in practice. Frameworks That Support Cultural Assessment Frameworks can provide structure and shared language when assessing culture. For example, models such as Hofstede’s cultural dimensions help highlight differences in values and expectations across contexts, while the Competing Values Framework categorizes culture based on how organizations balance flexibility, control, internal focus, and external focus. These frameworks are most useful when treated as guides, not prescriptions. They help organizations interpret patterns and compare tendencies, but they do not replace the need to understand lived experience. Culture is contextual, and no framework can fully capture how people experience day-to-day work or organizational change. The Role of Organizational Culture in Change Management Every change initiative introduces new expectations and culture determines how people interpret and respond to those expectations. When change efforts align with cultural norms, momentum builds. When they conflict, resistance and fatigue often follow. Successful change management recognizes culture as a design constraint, not an afterthought. Leaders can better align change efforts with culture by: Engaging stakeholders early and often. Involving key stakeholders helps surface existing norms, concerns, and informal influencers who shape how change is perceived across the organization. Designing communication plans that reinforce desired behaviors. Effective communication goes beyond sharing information; it explains the “why,” clarifies expectations, and reinforces what success looks like in day-to-day work. Activating leaders as visible sponsors. Leaders shape culture through their actions. When they consistently model new behaviors and reinforce priorities, they signal that change is both real and supported. Supporting managers as change enablers. Managers translate change into local context. Equipping them to address questions, coach employees, and reinforce adoption helps new behaviors take root. Embedding reinforcement into daily work. Recognition, performance measures, and feedback mechanisms should align with the behaviors the change requires, ensuring consistency between intent and experience. Adapting change approaches to cultural context, such as adjusting communication style, feedback mechanisms, or decision-making involvement. Cultural Challenges During Change Organizations often struggle with change, not because the solution is flawed, but because cultural realities are overlooked. Misaligned expectations, inconsistent leadership behaviors, communication gaps, and change saturation cause employees to feel uncertain, disengaged, or skeptical based on past experiences. Without intentional reinforcement, even well-designed changes can fade over time, leaving organizations with surface-level adoption and cultural drift rather than lasting behavioral change. Organizational culture in change management helps address these challenges by: Aligning leadership actions with stated priorities, Reinforcing expectations among employees Building trust through transparent communication. Over time, effective change management strategies shape organizational culture by normalizing adaptability, reinforcing accountability, and enabling people to navigate future changes with greater confidence. Every Change Is a Culture Moment Every change initiative, whether large or small, sends a clear signal about priorities, expectations, and accountability. Over time, those signals become habits, and those habits become culture. Organizations that succeed over time recognize that culture and change management are inseparable. By treating change as a deliberate opportunity to reinforce desired behaviors, organizations build a culture that is resilient, adaptable, and ready for what comes next. Frequently Asked Questions How does organizational culture impact the success of change initiatives? Organizational culture strongly influences how employees perceive, interpret, and respond to change. In cultures that value adaptability, transparency, and collaboration, employees are more likely to engage with change and adopt new behaviors. In contrast, cultures shaped by past negative change experiences or inconsistent leadership may slow acceptance and increase resistance. What strategies can be used to align change management with organizational culture? Practitioners can assess cultural norms, identify trusted influencers, and design engagement and communication strategies that reflect how the organization operates. Changing organizational culture and strengthening the work environment requires leaders and managers to model desired behaviors and reinforce expectations consistently throughout the change process. How can organizations measure the effectiveness of change management in relation to culture? Effectiveness can be measured through a combination of employee feedback, engagement surveys, and adoption metrics tied to the change. Tracking how quickly and consistently new behaviors are adopted – and listening to employee sentiment – helps reveal whether change efforts are aligned with cultural realities or where additional reinforcement may be needed. What role do leaders play in bridging organizational culture and change management? Leaders play a critical role by setting expectations, modeling behaviors, and reinforcing priorities during change. Their actions shape how employees experience change. When leaders communicate clearly, remain visible, and support people through transitions, they reinforce a culture that supports successful change.
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8 Ways AI-Driven Change is Different (And What Change Leaders Must Know)
Organizations investing millions in AI technology often fail to realize expected returns, not because of technical failures, but because they're applying traditional change management approaches to a fundamentally different type of transformation. What Prosci’s AI Research Reveals About AI Change Recent Prosci research studying 1,107 professionals across organizational levels reveals the scope of AI adoption challenges which organizations are facing. The data is striking: Prevalence of Human vs. Technical Challenges of AI Adoption Human vs. Technical Challenges – User proficiency emerged as the primary challenge, accounting for 38% of all reported AI implementation difficulties. This breaks down into learning curve challenges (22%), prompt engineering struggles (11%), and inadequate training (6%). Technical implementation issues account for only 16%. This represents a fundamental shift from traditional technology rollouts where technical challenges often dominate. The Trust Gap is Measurable – The research reveals significant trust disparities across organizational levels. Frontline workers report minimal trust in AI (+0.33 on a -2 to +2 scale), while executives demonstrate significantly higher trust levels (+1.09). Leadership Support Drives Success – Organizations with "very smooth" AI implementations show dramatically different leadership characteristics. They demonstrate strong leadership support (+1.65) compared to struggling organizations (-1.50). These numbers underscore what workshop participants have been telling us—AI change is fundamentally different, and traditional approaches aren't sufficient. 8 Key Differences in AI-Driven Change Over the past six months, we've conducted AI adoption workshops with hundreds of change practitioners across industries in North America. Through polling data and feedback from attendees who are experts in their organizations, eight distinct patterns have emerged that separate AI transformation from traditional change initiatives. 1. The "never-ending phase 2" challenge Traditional change management operates on defined phases with clear endpoints. AI adoption breaks this model. As one workshop participant put it, "AI changes so fast—what are we chasing?" Another described it as a "never-ending Phase 2." The technology evolves rapidly, new capabilities emerge constantly, and organizations must adapt their implementations in real-time. Your change management plans need flexibility and agility, not one-time delivery. Reinforcement becomes an active process of continuous readiness rather than a finite goal. Successful practitioners are building adaptive, modular change plans and coaching sponsors to maintain visibility over longer, less predictable timelines. Aligning The Prosci ADKAR Model to Iterative Changes 2. Security concerns reshape risk management AI introduces elevated risks that traditional change management rarely encounters. Workshop participants noted a "heightened level of security concern" where "individual responsibility and risk mitigation become more important." AI systems can inadvertently expose sensitive data, generate inaccurate information, or create new vulnerabilities. The consequences in sensitive contexts—healthcare, finance, legal—can be severe. This demands that risk management be integrated directly into every change management activity. Awareness campaigns must prioritize responsible behavior alongside tool adoption. Training programs need security-focused messaging woven throughout, not added as an afterthought. 3. Ethics and governance take center stage Unlike traditional technology implementations, AI decisions can perpetuate bias, generate misinformation, or impact people's lives in ways that aren't immediately visible. Workshop participants consistently raised "ethical and responsible use" and "ethical and bias concerns" as central challenges. Building awareness must explicitly include ethical considerations, not just operational changes. Sponsorship coalitions need to visibly model ethical behavior to set the organizational tone. Forward-thinking practitioners are creating visible feedback channels to identify and course-correct ethical risks early, integrating policy updates directly into knowledge-building activities. 4. The shift to individualized learning Traditional training approaches fall short with AI adoption. The technology demands personalized, self-directed learning to build sufficient literacy. As one expert noted, organizations need to "build competencies to ensure resilience and flexibility to engage in continuous learning." AI tools apply differently across roles, departments, and individuals. A marketing specialist might use AI for content creation, while a financial analyst applies it to data analysis. Generic training programs can't address this variety effectively. Successful practitioners are offering multi-path learning experiences: AI academies, peer-to-peer learning networks, and resource hubs that people can access based on their specific needs. 5. Scale and complexity demand enterprise thinking AI implementations often affect multiple departments simultaneously, without clear boundaries. Workshop participants described "the scale of it all—change, speed, etc." with "AI potentially having no limits." Traditional project-based change management approaches struggle with this scope. AI adoption requires enterprise-wide perspective, broader stakeholder impact assessments, and sponsorship coalitions of senior leaders. The complexity isn't just technical—it's organizational. AI implementations trigger cascading changes across business processes, decision-making frameworks, and organizational structures. 6. Navigating ambiguity in future states Traditional change management excels at moving from clearly defined current states to well-articulated future states. AI adoption challenges this model. Participants noted "no clear 'tomorrow' state" and difficulty "defining the future state clearly." AI capabilities evolve rapidly, and organizations can't predict exactly how they'll use the technology six months from now. The solution isn't to wait for clarity—it's to equip people to navigate ambiguity confidently. Practitioners are framing communication around progress markers rather than final destinations, reinforcing organizational purpose to anchor people even as tactics evolve. 7. New forms of resistance require new responses AI evokes distinct resistance that goes beyond typical procedural concerns. Workshop participants described "different and new types of resistance, more fear-based, around risks, unknown factors, loss of relevancy, and societal impacts." The fears are deeper and more personal. People aren't just worried about learning new processes—they're concerned about their fundamental relevance in an AI-enhanced world. Standard resistance management techniques aren't sufficient. Practitioners need to address emotional drivers, not just procedural hurdles. Building desire becomes harder because the perceived threat feels existential. 8. Reshaping roles and work dynamics AI significantly impacts roles, responsibilities, and workplace dynamics. Participants noted major implications for the "future of work and roles" with "knowledge and ability varying from team to team." This isn't just about learning new tools—it's about fundamental work redesign. AI changes how people spend their time, what skills they need, and how they create value. Practitioners are building future-state role maps showing how AI complements human capabilities and reinforcing an organizational narrative of partnership with AI rather than competition. Early Warning Signs and Success Indicators Our research reveals clear patterns distinguishing successful AI transformations from struggling ones. Organizations with "very smooth" implementations demonstrate dramatically different characteristics: The Experimentation Gap – Organizations with "very smooth" implementations strongly encourage trying new tools, while those "making progress with challenges" show moderate encouragement. Organizations struggling with implementation actually discourage trying new tools. This stands out as one of the strongest predictors of AI implementation success. Leadership and Cultural Alignment – Successful organizations demonstrate strong leadership support and organizational culture that actively supports AI-driven change. Data Openness Balance – Organizations with smooth implementations show higher data openness compared to struggling organizations, demonstrating the importance of balancing security with accessibility. Warning Signs to Watch For: Executives expressing high confidence while frontline workers show resistance Security concerns being treated as separate from change management Training approaches that don't account for role-specific AI applications Discouraging experimentation rather than fostering safe exploration Adapting Your Change Management Toolkit Traditional change management tools require thoughtful adaptation for AI adoption success. Our Prosci ADKAR Model remains relevant, but awareness-building must encompass ethical considerations and continuous learning expectations rather than just operational changes. Communication strategies need to emphasize progress markers over final destinations while addressing the measurable trust gap between organizational levels. Training approaches must shift from one-size-fits-all to personalized learning journeys that build adaptability skills alongside technical competencies. Perhaps most critically, sponsorship requirements expand beyond individual project sponsors to coalitions of senior leaders who can maintain visibility and model ethical AI behavior over extended, less predictable timelines. Preparing for Continuous AI Evolution AI adoption isn't a destination—it's an ongoing journey of organizational capability building. The most successful organizations treat AI change management as a core competency, not a project deliverable. This means building internal expertise in AI-specific change patterns, developing organizational agility for continuous adaptation, and creating cultures that embrace rather than resist AI-driven evolution. AI adoption success depends more on managing the human side of change than on the sophistication of the technology. For change practitioners willing to adapt their approaches, this represents both a significant challenge and an unprecedented opportunity to demonstrate the strategic value of expert change management. Make A Strategic Investment in Adoption AI adoption is more than a technical implementation—it’s a transformation in how your people work, innovate, and deliver value. The path to success requires deliberate strategies to engage employees, align leadership, and integrate AI into workflows. By partnering with Prosci, you’ll gain a trusted guide with the research, methodologies, and expertise to manage the people side of AI adoption effectively. With Prosci, your organization will not only achieve the full promise of AI but also build the change resilience needed to navigate future transformations. Partner with Prosci to unlock the full potential of your AI initiatives—and secure lasting competitive advantage in an AI-powered future.
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Digital Transformation Made Real With Change Leadership
Everyone is racing toward digital transformation. But what separates those who talk about it from those who achieve it? The answer isn’t technology. It’s leadership. The promise is compelling: smarter operations, faster decisions, deeper connections. But transformation doesn’t succeed on tools alone. It demands bold vision, aligned leadership and cultures ready for change. Without these, even the best-funded initiatives stall. This article breaks down the trends shaping digital transformation—and more importantly, shows how to lead through them with clarity, coordination and a people-first mindset. What Is Digital Transformation? Digital transformation integrates technology across business functions, reshaping operations and customer experiences. The process involves reshaping business processes, company culture and customer experiences. But transformation only happens when people adopt new ways of working. The success of a new CRM or AI platform depends not on deployment, but on whether teams choose to engage, adapt and own the change. Digital tools create potential. People turn that potential into performance. Why Is Digital Transformation Important? Because the pace of change won’t slow down. Markets evolve. Expectations rise. And technology keeps pushing forward. If you delay, you risk falling behind. Digital transformation helps resilient, adaptive businesses stay ahead. It enables efficiency, allows for deeper customer relationships, and provides leaders with the clarity to make faster, smarter decisions. Here’s what the results may look like in practice: Operational efficiency – Intelligent systems and real-time analytics streamline day-to-day processes, reducing manual effort and freeing teams to focus on higher-impact work. Customer centricity – From personalized marketing to predictive support, digital transformation helps businesses understand and serve customers more effectively. Operational agility – A flexible digital foundation allows organizations to test new ideas, launch initiatives faster, and adapt to shifting market demands without major disruption. Competitive resilience – Digital maturity builds the structural flexibility and clarity leaders need to make smarter decisions and outpace competitors. Together, these capabilities position organizations to move with confidence—ready to pivot, grow, and lead in a constantly changing landscape. But staying ahead demands a clear view of what’s next. To lead effectively, organizations must understand the forces shaping the digital future and be ready to act. What’s Ahead: Trends in Digital Transformation Digital transformation trends will see the rise of AI-driven automation, hyper-connected ecosystems and the increasing importance of sustainability and cybersecurity. AI agents and spatial computing will also gain prominence. Let’s take a look at these trends in more detail: The rise of AI-powered technology AI is becoming the engine behind smarter, faster and more adaptive businesses. Organizations are embedding AI into core operations, transforming everything from customer service to supply chain management. The AI market surpassed $184 billion in 2024—a sharp increase of nearly $50 billion from the previous year. And the momentum isn’t slowing down. Projections show it could skyrocket to beyond $826 billion by 2030. This shift signals the transition from testing AI to actually putting it to work, and seeing real, measurable results. Here are some of the key AI technologies powering digital transformation: Generative AI – Gen AI improves creative and customer-facing workflows by generating text, images, code and more in real time. It helps personalize marketing campaigns, draft content, assist in product design, and even simulate business scenarios. Research shows that 40% of companies have already adopted Gen AI. AI-driven automation – Streamlines repetitive, manual tasks such as data entry, scheduling and report generation. Automating these time-consuming processes allows organizations to reduce errors, cut costs and free up time for employees to focus on higher-value work that requires human insight, like managing change. AI agents – Similar to chatbots but with more advanced capabilities, AI agents use natural language processing, machine learning and decision-making capabilities to perform tasks independently. They can manage calendars, handle complex customer service requests, monitor systems for anomalies, and take proactive steps. Adopting AI is one of the most complex and high-potential shifts organizations can face. Realizing its full benefits requires a deliberate focus on people, processes and change readiness. Cloud-native is the new normal Legacy systems are quickly becoming a thing of the past, with agile, scalable cloud solutions taking center stage. The shift is undeniable—nearly 92% of digital leaders say that their companies adopted cloud technology on a small or large scale. Here are some of the key approaches driving this transformation: Cloud-native applications – These are tools built specifically for the cloud environment. With cloud-native apps, organizations can scale faster, innovate more efficiently, and stay ahead of the curve. Multi-cloud strategies – These offer organizations the flexibility to combine multiple cloud services for their needs. They help businesses mitigate security risks by diversifying their cloud environment. Serverless computing – A cloud computing model where the cloud provider manages the infrastructure, such as servers and virtual machines. Developers can then focus on writing code, while the cloud provider handles all scalability and infrastructure concerns. Moving to the cloud requires a cultural shift that demands reskilling, collaboration across teams, and aligning leadership around a digital-first vision. The most successful organizations will be those that adapt quickly and foster an environment of continuous learning and innovation. Human-centric personalization Customers and employees now expect personalized, connected digital experiences that cater to their needs and behaviors. Research shows that 73% of customers expect better personalization as technology improves. This means that many organizations will focus on creating deeply relevant and intuitive interactions that anticipate what people want before they even ask. Here are the key technologies driving the future of personalization: Hyper-personalization – Takes customer engagement to the next level by delivering tailored experiences in the moment. This means offering the right content, products or services at the right time based on individual behaviors, preferences and context. Edge computing – Reduces latency by processing data closer to where it’s generated. This means faster, more responsive interactions—especially for real-time applications—enhancing user experience and reducing reliance on centralized data centers. IoT (Internet of Things) – Creates a network of connected devices that communicate and respond autonomously. With IoT, you can automate processes, track assets and deliver experiences that respond to real-world events in real time, creating a more dynamic and responsive environment. Leaders must ensure people know how to engage with and leverage these technologies. Providing the right training, fostering a culture of continuous learning, and aligning teams around a shared vision of personalization are key to achieving this. Improving security and data governance Security is increasingly becoming a strategic priority that impacts every part of the business. Protecting sensitive data and ensuring regulatory compliance are foundational to sustainable growth and building trust with customers. In fact, research shows that 76% of companies globally stated that cybersecurity was the leading priority for their IT initiatives. So, what technologies are leading the transformation? Zero trust architecture – An always-verified access model that assumes no one—inside or outside the organization—should automatically be trusted. Every user and device must continuously authenticate before accessing systems. This ensures robust protection against breaches. AI-powered threat detection – Traditional security measures often rely on static rules and human intervention, which can leave gaps in defense. In contrast, real-time, adaptive protection, powered by AI, continuously learns and evolves to detect and respond to threats before they escalate. To ensure these technologies are fully adopted, leaders must support employees in understanding and consistently following secure practices and integrate security into the company culture. The Prosci Methodology can help organizations manage this transformation. With its proven change management approach, you can drive culture-embedded, compliant transformation and make security and data governance integral to daily operations. Real-World Cases of Successful Digital Transformation Projects Companies that embrace new technologies are reaping the benefits, from improved operational efficiency to enhanced customer experiences. Here are three real-world examples of companies that have successfully done so: Proximus Proximus, Belgium’s largest telecommunications provider, spearheaded its digital transformation by piloting a focused, data-driven marketing initiative. Partnering with Digipolitans and Google, the company built a 12-week agile campaign around promoting Netflix subscriptions. By leveraging behavioral data and Google Marketing Platform tools, Proximus streamlined campaign delivery and personalized digital touchpoints. The results were striking: a sixfold increase in sales leads, a 14% conversion rate (up from 4%), and a 72% influx of new site visitors—all achieved with a smaller budget. The initiative also catalyzed long-term structural change across the organization. Siemens Siemens is a global technology company that specializes in industrial automation, digitalization and smart infrastructure solutions across sectors like manufacturing, energy and healthcare. The company is leading the charge in industrial technological innovation, unveiling breakthroughs in AI and digital twin technology at CES 2025. By digitizing its manufacturing operations with IoT, AI and digital twins, Siemens has transformed how it simulates, monitors and optimizes processes. The result: smarter solutions for clients, reduced downtime and greater supply chain transparency across its global footprint. Starbucks Starbucks is crafting the future of retail with AI. Through its “Deep Brew” initiative, Starbucks harnessed artificial intelligence to optimize inventory, streamline staffing and deliver hyper-personalized marketing. By embedding tech into every touchpoint, the company created smarter, more seamless customer and employee experiences, driving higher efficiency, more mobile orders and stronger loyalty program engagement. (Image Source) These real-world examples illustrate what’s possible when digital transformation is approached with clarity, alignment and a focus on people. Yet success stories are only part of the equation. Transformation at scale is rarely straightforward. Even the most prepared organizations encounter difficulties and uncertainty. Common Challenges of Digital Transformation Technology is only half the equation. Without the right leadership and support, even the most advanced solutions fall short. Misalignment, resistance and cultural inertia are the real barriers. Let’s examine the most common barriers that can stall digital transformation, and why overcoming them requires more than technology alone. Measuring return on investment (ROI) Unlike traditional investments, the ROI of digital transformation can be harder to quantify, especially in the early stages. Benefits like improved customer experience or greater agility are intangible or long-term, so how do you prove their financial impact? Organizations must define clear success metrics from the start, ones that go beyond immediate revenue and cost savings. This means tracking qualitative outcomes (like employee engagement or customer satisfaction) and quantitative results (such as efficiency gains or time-to-market improvements). ROI must also account for adoption metrics. Without widespread use, even the most advanced solutions won’t deliver value. Leaders need to monitor how well new technologies and processes are embraced across teams, not just whether they’re deployed. Prosci helps organizations put this into action with structured outcome tracking. Our change experts help organizations measure the real impact of change by linking adoption and usage to business results. Prosci Performance Levels Effective communication within organizations Transformation efforts often fail when vision and strategy aren’t well communicated across departments. Teams may work in silos, misunderstand objectives, or lack visibility into how their work connects to broader initiatives. To avoid these pitfalls, communication must be ongoing, cross-functional and directly connected to the "why" behind the change. It’s not enough to share updates. You need to create a communications plan so that every person in your organization understands the broader purpose of the change, their role in achieving it, and how each department’s efforts fit into the bigger picture. A well-designed communications plan ensures messaging is consistent, timely and aligned with business goals. The plan should outline: Key messages Target audiences Preferred communication channels Frequency of updates When communicating updates around change, it’s also important to consider who’s delivering them. Prosci research shows that people prefer to receive certain change messages from specific roles in the company: Preferred Senders of Messages During Change To ensure people are receptive to communication, it’s important to consider their preferences. Aligning communication with trusted voices helps leaders foster an organizational culture of transparency, strengthen credibility and inspire confidence across the organization. Cultural shift and adaptation Digital transformation requires a fundamental shift in mindset across the organization. One of the biggest challenges is bridging the cultural gap between the old way of working and the new approach required for transformation. Leaders must shift from directive management to transformational leadership. Simply implementing new systems or processes is not enough. You need to consistently demonstrate the mindsets and behaviors that set the tone for others to follow. Creating safe spaces for experimentation is also important. Innovation labs, pilot programs and internal communities allow teams to explore new tools and approaches, and fail forward without the risk of major disruption. This creates an environment where change becomes a constant opportunity, rather than a threat. To overcome these challenges, digital transformations need to be built on trust, clarity and engagement—from the C-suite to the front line. That’s where change management becomes the differentiator. Why Change Management Is The Missing Link Change management isn’t a side task—it’s the work. If people aren’t supported through the change, transformation is destined to fail. Without the right support, employees may be apprehensive about new systems, underutilize tools or revert to old habits, undermining the entire initiative. Digital transformation struggles when change is done to people, not with them. A structured, people-focused approach is critical to driving successful transformation. Structured, intentional change leadership aligns people with purpose, equips them for the transition, and significantly improves adoption. Prosci helps organizations navigate transitions smoothly, creating lasting adoption and securing long-term success. It’s the bridge that connects digital technology implementation with real, sustainable cultural shifts within the organization. Supporting people with the Prosci ADKAR Model At the heart of the Prosci Methodology is the Prosci ADKAR® Model, a proven model that breaks down individual change into five key elements: Awareness, Desire, Knowledge, Ability and Reinforcement. Prosci ADKAR Model These elements represent the building blocks of successful transformation on an individual level. By understanding where people are in the digital transformation journey, leaders can pinpoint specific barriers and provide targeted support, whether that’s through communication, training or coaching. The ADKAR Model also helps people understand why the change is happening, what’s in it for them, and how they’ll be supported through the transition. And when people see the purpose and benefits clearly, they’re more likely to engage, adopt and champion the change. Aligning at scale with the 3-Phase Process The ADKAR Model drives successful change on a personal level, but the Prosci 3-Phase Process scales that impact across the organization. It provides a structured framework to lead enterprise-wide transformation. Here’s an overview of the three phases: Phase 1 – Prepare Approach – In this phase, change leaders define success, assess readiness and build a tailored strategy for change. Phase 2 – Manage Change – In this phase, the team develops and delivers the bulk of change management activities, from communication and training to resistance prevention and assessments. Phase 3 – Sustain Outcomes – In this phase, the organization measures adoption, collects feedback and takes steps to ensure the change sticks. Guiding organizations through these phases help teams lead digital transformation initiatives with clarity, consistency and a sharp focus on their people. Prosci 3-Phase Process In the context of digital transformation, aligning at an organizational level is essential. It connects the dots between digital technology rollouts and human adoption, ensuring that new tools and systems are used to their full potential. Supporting change with Prosci technology To drive meaningful change at scale, you need the right tools. Prosci’s innovative technology solutions can make all the difference: Proxima is a web application that guides users through the Prosci Methodology to help them achieve change success. With built-in templates, tools and dashboards, Proxima keeps teams aligned and focused on what matters most—achieving successful outcomes and delivering measurable value. Kaiya™, Prosci’s expert change management AI tool, supports change leaders in real time, giving you instant access to change management insights, best practices and tailored solutions. Whether you’re building a communications plan or scaling across multiple initiatives, Kaiya helps you move faster, think smarter and extend your impact across the organization. Preparing for Digital Transformation in 2026 and Beyond Digital transformation offers immense promise, but it only delivers when led with clarity, conviction and a commitment to people. The organizations that succeed won’t be those with the flashiest tools, but those who treat change as a capability. That’s where Prosci comes in. With structured, flexible, and research-based approaches like the ADKAR Model and 3-Phase Process, Prosci equips organizations to lead with purpose, align their people, and make transformation stick. Because digital change isn’t just about moving fast. It’s about moving forward, together.
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Overcome Resistance to ERP Systems Changes With ADKAR
Investing in Enterprise Resource Planning (ERP) software can unify your business information resources, improve productivity, and create other long-term benefits. However, adoption challenges and resistance often create unforeseen risks and detract from the ERP system's benefits. Here’s how the Prosci ADKAR® Model can help you succeed. ERP Systems and the Need for Change To gain efficiency and reduce long-term costs, large and small companies are transitioning to ERP systems. Businesses use the systems to manage and improve processes ranging from procurement and manufacturing to financial and human resources functions across the enterprise. All these efforts help eliminate waste, improve productivity, and increase employee satisfaction. Because an ERP system integrates data into a common database, data can flow easily between operations. As a result, the system eliminates data duplication, enhances data integrity, improves ease-of-use, and helps your teams overcome siloed operations. Integrated data and processes also give your managers and teams greater insight into decision-making from real-time information. Given your significant investment in time and resources, as well as the importance of the expected benefits from the project, it’s critical for your business to recognize and overcome resistance to ERP changes through effective change management. Resistance to ERP Systems and Other Adoption Challenges More than likely, your employees have grown accustomed to familiar legacy systems. Even with all the benefits offered through an ERP tool, the migration from familiar applications to a new system sets up a series of challenges for technical and people leaders. As impacted employees move from the comfort of the current state to the disruption of the transition state and ultimately to the future state, technical challenges often provoke people challenges that lead to resistance. As part of your planning for the ERP implementation, leaders and the project team should carefully establish the business requirements and expected benefits for the project. Without clearly established requirements and benefits, people who work with the system can create unrealistic expectations. In turn, unrealistic expectations often evolve into customization requests that increase the project scope and slow the schedule. During implementation, impacted people can struggle with completing their current work while learning a new system. Project teams need to focus on all the milestones for reaching the “go live” date while implementing technological, functional and process changes at a rapid pace. And the push to learn new skills, terms and processes elevates stress levels even further. Cascading Technical and People Challenges Each of these challenges increases project risk. The need for understanding and mitigating that risk underscores the need for building strong change management capabilities in your organization. If you don’t adequately manage those challenges, the technical and people challenges of an ERP implementation can lead to dissatisfied employees and other stakeholders, increased stress, and loss of trust. Fear and Resistance to Change During an ERP Implementation The changes caused by an ERP implementation often seem intensely personal and overwhelming to employees. Newly defined processes sometimes move tasks from one department to another or even lead to organizational restructuring. Some department workloads may increase while others decrease or shift to different areas. Each of those changes break apart comfortable working relationships. And all this occurs within a project schedule that seems to have a life and vocabulary of its own. The result is often fear and resistance. Fear of Change Certainly, the fear of change feeds resistance behaviors. With any shift to a different technology, fear of the unknown shapes how your staff responds to change. Migration to an ERP system amplifies this fear because no one sees the finished product until close to the project go-live date. Even though vendors and project leads work to assure teams that more efficient workflows and a more collaborative environment are coming—and ask for patience as the process unfolds—people who use the new system may not fully accept the assurances. Fear of the Unknown Implementing an ERP system creates the need for people to learn new skills, creating pressure to upskill and reskill within a limited time. People also need to stay productive with their current workloads while learning new skills, which stresses even the most experienced people. For mid-career employees in particular, the fear of learning new skills can increase stress, complicate decision-making, and even cause physical illness. Fear of Failure The fear of failure translates into reluctance to try new processes or practices. If people work around or otherwise avoid the root causes of their fear (i.e., the learning curve), the fear leads to other resistance behaviors. How the ADKAR Model Helps You Overcome Resistance to ERP Systems Effective change management is critical during ERP implementations because of the impact on everyday work and morale. From my vantage point, the Prosci ADKAR Model offers optimal alignment with an ERP implementation and helps individual people and similarly impacted groups move through the transition in a structured way. Because the ADKAR Model emphasizes the people side of change, people managers also become more aware of the complexity in the work people do, as well as the impact software development and testing has on it. Along with its focus on the people side of change, the ADKAR Model emphasizes project success. Change management through the ADKAR Model helps business leaders mitigate resistance, highlights the ability of employees to adopt the change, and then checks back to reinforce those abilities. The Prosci ADKAR Model Here’s how each ADKAR element applies when mitigating or overcoming resistance to ERP systems: Awareness Building Awareness helps mitigate resistance by answering the questions people have about the change and its impacts on their work. Implementing any change that cuts across organizational and cultural lines requires excellent communication from leaders, people managers and project leads. As you apply the ADKAR Model, you will also need to build Awareness of the need for implementing an ERP system and communicate information about the project itself. I have found that communication must flow vertically and horizontally with clear lanes for sharing and receiving information. Desire Building Desire addresses resistance by answering the questions people have during a change, including the business “Why” behind the change and personal “What’s in it for me?” The Desire to participate and support the change begins with business leaders delivering transparent communications about the reasons for the change and then advocating for the new vision. Successful ERP implementations depend on change practitioners gathering feedback from impacted groups, people managers quickly responding and addressing barriers, and sponsors encouraging people to participate and role modeling the right behaviors. Productive communication and active participation build alignment with the objectives of the ERP strategy. Knowledge Knowledge of how to adopt the ERP system lessens fears and doubts, and helps people prepare for their role as users in adopting the change. When considering Knowledge, change practitioners should advocate for ERP training programs that address both the technical aspects of the new system as well as any process and workflow changes people need to adopt and use. While your human resources department may need training about new recruiting and onboarding procedures, finance teams will need training that addresses accounts receivable and payable processes, invoicing, purchase requisitions, and end-of-fiscal year procedures. Along with specific training for staff in impacted departments, project leads must also consider how those and other procedures affect people and stakeholders, and the type of training that best serves their needs. Ability Giving people the opportunity to apply and demonstrate new skills acquired through training helps them prepare for the go-live date while building confidence in their Ability to implement the required skills and behaviors. Change practitioners can help your organization achieve its goals by ensuring that employees have the ability to adopt and apply the changes enabled by the ERP implementation. To build Ability, change practitioners should work with people managers to provide hands-on practice and coaching. As employees across the enterprise become proficient with the new ERP tools, they can help others learn new skills. Reinforcement Resistance occurs at all stages of change, and it’s common for people to develop workarounds or revert to old ways of working. Reinforcement enables you to help people stay the course through additional support and resistance management tactics. When reinforcing the ERP system change with the ADKAR Model, change practitioners should work with the project team to gather feedback from impacted groups about how they use ERP tools. Using insights from surveys and face-to-face meetings, the project team can make changes that help people do their work most effectively. When measuring performance, change practitioners often use scorecards that show progress towards implementing changes and realizing benefits. Preparing to Overcome Resistance to ERP Changes When implementing an ERP system, change practitioners need to start managing resistance at the project’s initiation and all throughout its lifecycle. The process of managing resistance begins with assessing the organizational readiness of your business for the change, usually in partnership with the project manager and vendor representatives. The process continues with identifying primary and secondary stakeholders, assessing impacts and risks, and engaging stakeholders before the ERP implementation. I ask that change practitioners also begin to address the ADKAR barrier points for staff impacted by the change before the implementation begins. When assessing the possible resistance to change, I encourage change practitioners to apply the Prosci 10 aspects of change impact. It’s a helpful tool for defining the change for individuals, addressing individual and group impacts, and as the basis for building adoption metrics. In addition, the aspects establish a framework for becoming more responsive to employee needs and improving engagement. Prosci 10 Aspects of Change Impact Reframing and Overcoming Resistance to ERP Changes Effectively understanding and managing resistance requires you to look at it through a different lens that removes negativity and blame. Reframing resistance in this way will help you better identify types of resistance and their root causes, and build the right tactics to help people move through their barriers. Your organization can realize even greater benefits from an ERP implementation by applying a robust change management methodology that incorporates the ADKAR Model. This ensures alignment between the organizational requirements for the ERP system and the needs of the people who are impacted by the change while ensuring a solid return on your ERP project investment.
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