Be the first to know when new training courses are scheduled or dates are updated.
We run this course regularly across Nairobi, Mombasa, Kampala, Dar es Salaam, Kigali, Johannesburg, Dubai, Singapore, China and many more locations. The next intake dates will be published here shortly.
Need it sooner? Reach out and we'll fast-track a session for you or your team.
Prefer email? Submit a scheduling request and we'll get back to you shortly.
The Innovation Management Executive Training Course is a comprehensive executive development programme designed to equip Chief Executive Officers, board members, executive directors, senior managers, entrepreneurs, policymakers, innovation leaders, and organisational decision-makers with the strategic leadership capabilities required to build, manage, finance, scale, and sustain innovation across modern organisations. The course integrates innovation management, innovation strategy, strategic innovation, business model innovation, product and service innovation, digital transformation, disruptive innovation, design thinking, creativity, entrepreneurship, research and development, Artificial Intelligence, emerging technologies, organisational agility, and innovation leadership. Participants learn how to identify innovation opportunities, analyse changing customer needs, respond to competitive disruption, generate commercially and socially valuable ideas, develop innovation portfolios, establish innovation governance, and translate creative concepts into scalable products, services, processes, technologies, and business models that strengthen organisational competitiveness and sustainable growth.
The programme provides practical frameworks for developing an enterprise innovation strategy aligned with corporate strategy, customer expectations, market opportunities, technological developments, organisational capabilities, and long-term value creation. Participants examine innovation ecosystems, horizon scanning, trend analysis, strategic foresight, ideation, design thinking, customer discovery, problem framing, value proposition design, experimentation, prototyping, minimum viable products, agile innovation, lean innovation, open innovation, co-creation, innovation partnerships, and innovation portfolio management. Particular emphasis is placed on establishing systematic processes for discovering opportunities, prioritising ideas, validating assumptions, testing solutions, managing uncertainty, allocating innovation resources, accelerating learning, reducing innovation risk, and determining when promising initiatives should be scaled, redesigned, partnered, commercialised, or discontinued.
The Innovation Management Executive Training Course further examines digital innovation and emerging technologies including Artificial Intelligence, Generative AI, machine learning, automation, data analytics, cloud computing, Internet of Things, digital platforms, intelligent systems, and other technologies transforming organisations and industries. Participants explore how executives can evaluate emerging technologies, identify high-value use cases, develop responsible innovation governance, assess financial and strategic feasibility, manage cybersecurity and data risks, and integrate technological innovation with business strategy. The programme also addresses intellectual property, innovation finance, investment appraisal, innovation metrics, innovation culture, employee creativity, cross-functional collaboration, change management, strategic partnerships, startup engagement, research institutions, universities, suppliers, customers, and external innovation ecosystems.
Successful innovation requires disciplined execution as well as creativity. The course therefore strengthens executive capability in innovation portfolio management, project selection, resource allocation, innovation risk management, commercialisation, scaling, benefits realisation, innovation performance measurement, and organisational learning. Participants learn how to develop innovation Key Performance Indicators, executive dashboards, governance structures, decision gates, funding mechanisms, innovation pipelines, experimentation systems, and accountability arrangements. Through executive presentations, innovation simulations, ideation workshops, design-thinking exercises, technology assessments, collaborative activities, facilitated discussions, and relevant general case studies, participants develop a practical Innovation Management Executive Action Plan integrating innovation priorities, governance, portfolio decisions, digital opportunities, investment requirements, organisational capabilities, risks, performance indicators, and an implementation roadmap.
By the end of the Innovation Management Executive Training Course, participants will be able to:
1. Understand contemporary innovation management, innovation strategy, strategic innovation, disruptive innovation, digital innovation, business model innovation, and their contribution to organisational competitiveness and sustainable growth.
2. Develop an enterprise innovation strategy aligned with organisational vision, corporate strategy, market opportunities, customer requirements, technological developments, and organisational capabilities.
3. Apply design thinking, customer discovery, ideation, creativity, problem-solving, prototyping, experimentation, agile innovation, and lean innovation approaches.
4. Identify, evaluate, prioritise, and manage innovation opportunities using structured innovation pipelines, portfolio management frameworks, decision criteria, and governance processes.
5. Evaluate Artificial Intelligence, Generative AI, automation, data analytics, digital platforms, and emerging technologies for strategic innovation and organisational transformation.
6. Develop innovative business models, customer value propositions, products, services, processes, operating models, and organisational solutions that respond to changing market requirements.
7. Establish effective innovation governance covering executive sponsorship, decision rights, investment priorities, intellectual property, risk management, ethics, accountability, and performance oversight.
8. Build an innovation-driven organisational culture that encourages creativity, experimentation, collaboration, entrepreneurship, learning, employee participation, and responsible risk-taking.
9. Develop innovation performance indicators, executive dashboards, investment measures, portfolio metrics, commercialisation measures, and benefits-realisation mechanisms.
10. Develop a practical Innovation Management Executive Action Plan that converts strategic innovation priorities into measurable initiatives, investments, organisational capabilities, and sustainable outcomes.
Organizations whose executives participate in this training will benefit through:
1. Stronger executive capacity to develop and lead innovation strategies aligned with corporate objectives, customer requirements, competitive pressures, and future market opportunities.
2. Improved organisational capability to identify emerging trends, disruptive technologies, changing customer expectations, market opportunities, and new sources of competitive advantage.
3. Stronger innovation pipelines for generating, evaluating, testing, prioritising, funding, commercialising, scaling, and monitoring innovative ideas and solutions.
4. Improved product, service, process, technology, customer experience, operational, organisational, and business model innovation.
5. Enhanced adoption of Artificial Intelligence, Generative AI, automation, data analytics, digital platforms, and other emerging technologies through strategic and responsible innovation management.
6. Improved innovation investment decisions through stronger business cases, portfolio management, financial analysis, risk assessment, resource allocation, governance, and benefits-realisation processes.
7. Development of a stronger innovation culture characterised by creativity, experimentation, collaboration, continuous learning, entrepreneurial thinking, employee engagement, and responsible risk-taking.
8. Stronger partnerships with customers, suppliers, startups, universities, research institutions, technology companies, investors, development partners, and wider innovation ecosystems.
9. Improved innovation performance through appropriate KPIs, executive dashboards, portfolio reviews, customer evidence, learning measures, commercial outcomes, and continuous improvement.
10. Enhanced organisational competitiveness, strategic agility, digital capability, customer value, operational efficiency, market responsiveness, resilience, revenue opportunities, and sustainable long-term growth.
The Innovation Management Executive Training Course is designed for Board Chairpersons, Board Members, Chief Executive Officers (CEOs), Managing Directors, Executive Directors, Directors, Deputy Directors, Commissioners, Permanent Secretaries, Principal Secretaries, Chief Innovation Officers, Chief Strategy Officers, Chief Technology Officers (CTOs), Chief Information Officers (CIOs), Chief Digital Officers (CDOs), Chief Data Officers, Chief Operating Officers (COOs), Chief Marketing Officers, strategy directors, innovation directors, technology directors, research and development directors, digital transformation directors, business development directors, operations directors, programme directors, project directors, product leaders, regional directors, country directors, heads of departments, senior managers, innovation managers, research and development managers, product managers, transformation managers, entrepreneurs, startup founders, business owners, public-sector executives, financial institution executives, NGO executives, development-sector leaders, researchers, consultants, and other senior professionals responsible for innovation, strategy, technology, business growth, organisational transformation, or institutional development.
1. Understanding innovation management, strategic innovation, creativity, invention, entrepreneurship, disruptive innovation, incremental innovation, radical innovation, breakthrough innovation, and organisational transformation.
2. Examining product, service, process, technology, organisational, marketing, customer experience, social, operational, digital, and business model innovation.
3. Understanding the innovation management lifecycle from opportunity discovery and idea generation through evaluation, experimentation, development, commercialisation, scaling, performance measurement, and renewal.
4. Aligning innovation with organisational vision, corporate strategy, customer needs, competitive positioning, strategic objectives, organisational capabilities, sustainability priorities, and long-term value creation.
5. Understanding executive and board responsibilities for innovation leadership, strategic direction, governance, investment, risk appetite, organisational culture, performance oversight, and accountability.
6. Executive Case Study: Assessing an established organisation losing market relevance because of changing customer expectations, disruptive competitors, emerging technology, slow decision-making, and limited investment in innovation.
1. Developing enterprise innovation strategies covering innovation ambitions, strategic priorities, target domains, customer opportunities, technological opportunities, investment requirements, capabilities, governance, and expected outcomes.
2. Applying strategic foresight, horizon scanning, trend analysis, scenario planning, environmental scanning, market intelligence, competitor analysis, and technology monitoring to identify emerging opportunities.
3. Evaluating macroeconomic, social, demographic, technological, environmental, regulatory, geopolitical, customer, industry, and competitive trends affecting future organisational performance.
4. Identifying innovation opportunity spaces by examining customer problems, unmet needs, market gaps, operational inefficiencies, emerging technologies, sustainability challenges, and changing stakeholder expectations.
5. Developing innovation theses, strategic themes, opportunity maps, innovation roadmaps, strategic scenarios, priority areas, and executive decision criteria.
6. Executive Case Study: Developing an innovation strategy for an organisation facing declining traditional revenue streams while new digital technologies, customer behaviours, and competitors are transforming its industry.
1. Understanding design thinking and applying empathy, problem definition, ideation, prototyping, testing, learning, iteration, and implementation to organisational innovation.
2. Conducting customer discovery through interviews, observation, journey mapping, stakeholder engagement, behavioural analysis, feedback, service analysis, and identification of unmet needs.
3. Applying creative-thinking techniques including brainstorming, mind mapping, reframing, lateral thinking, analogy, reverse thinking, idea combinations, and structured creativity methods.
4. Developing customer personas, problem statements, customer journey maps, value propositions, solution concepts, experience maps, and innovation hypotheses.
5. Building rapid prototypes and conducting user testing to gather evidence, challenge assumptions, improve solutions, reduce uncertainty, and accelerate organisational learning.
6. Executive Case Study: Redesigning a poorly performing customer service using design thinking after traditional process improvements fail to address underlying customer frustrations and service expectations.
1. Understanding lean innovation, agile innovation, minimum viable products, rapid experimentation, iterative development, validated learning, hypothesis testing, and evidence-based innovation.
2. Converting innovation assumptions into testable hypotheses covering customer desirability, technical feasibility, financial viability, operational practicality, scalability, and strategic alignment.
3. Designing experiments, pilot programmes, prototypes, proof-of-concept initiatives, minimum viable products, customer trials, and controlled innovation tests.
4. Developing innovation learning metrics covering customer adoption, engagement, willingness to use, willingness to pay, operational performance, technical reliability, and implementation feasibility.
5. Establishing decision points for continuing, modifying, pivoting, partnering, scaling, pausing, or terminating innovation initiatives based on evidence and strategic priorities.
6. Executive Case Study: Reviewing a promising new digital service where initial executive enthusiasm is high but customer testing produces mixed evidence about demand, usability, pricing, and scalability.
1. Understanding business model innovation and analysing customer segments, value propositions, channels, customer relationships, key activities, resources, partnerships, revenue streams, and cost structures.
2. Identifying opportunities to redesign how organisations create, deliver, capture, distribute, and sustain economic, customer, social, and stakeholder value.
3. Developing innovative revenue models including subscriptions, platforms, services, licensing, partnerships, outcome-based models, digital services, marketplaces, and complementary offerings.
4. Applying value proposition design to align customer problems, needs, expectations, desired outcomes, organisational capabilities, and differentiated solutions.
5. Evaluating business model feasibility through market potential, customer desirability, operational requirements, financial sustainability, competitive advantage, scalability, risk, and strategic fit.
6. Executive Case Study: Redesigning the business model of an established organisation threatened by digital competitors offering customers faster, cheaper, more personalised, and more convenient services.
1. Understanding digital innovation and the strategic implications of Artificial Intelligence, Generative AI, machine learning, automation, data analytics, cloud computing, Internet of Things, digital platforms, and intelligent systems.
2. Identifying high-value technology use cases across customer service, operations, finance, human resources, marketing, supply chains, research, knowledge management, forecasting, and executive decision-making.
3. Evaluating emerging technologies based on strategic relevance, customer value, operational impact, technical feasibility, organisational readiness, investment requirements, scalability, cybersecurity, and expected benefits.
4. Applying Generative AI to innovation research, ideation, information synthesis, scenario development, customer insight, prototype development, knowledge management, and organisational problem-solving.
5. Establishing responsible technology innovation governance covering data privacy, cybersecurity, transparency, fairness, intellectual property, human oversight, ethics, regulatory compliance, and accountability.
6. Executive Case Study: Evaluating an organisation-wide Artificial Intelligence initiative where significant productivity opportunities must be balanced against data security, workforce implications, implementation costs, ethical concerns, and uncertain returns.
1. Understanding open innovation and determining when organisations should develop solutions internally, collaborate, license technologies, acquire capabilities, outsource development, or establish strategic partnerships.
2. Mapping innovation ecosystems covering customers, suppliers, startups, universities, research institutions, technology companies, investors, governments, accelerators, development partners, and industry networks.
3. Developing innovation partnerships through clear objectives, governance structures, intellectual property arrangements, resource commitments, performance expectations, risk allocation, and relationship management.
4. Working effectively with startups through accelerators, corporate venture programmes, pilot partnerships, innovation challenges, procurement arrangements, strategic investments, and collaborative product development.
5. Managing co-creation with customers, employees, suppliers, communities, research institutions, and other stakeholders to accelerate innovation and strengthen solution relevance.
6. Executive Case Study: Developing an innovation ecosystem strategy for an organisation that lacks internal technological capabilities but has opportunities to partner with startups, universities, suppliers, and technology firms.
1. Understanding innovation portfolio management and balancing incremental, adjacent, transformational, short-term, long-term, core-business, and exploratory innovation initiatives.
2. Establishing innovation selection criteria covering strategic alignment, customer value, market potential, technical feasibility, financial viability, organisational capability, risk, scalability, and sustainability.
3. Developing innovation portfolios, innovation pipelines, stage-gate systems, executive review mechanisms, decision thresholds, prioritisation matrices, and portfolio dashboards.
4. Allocating financial, human, technological, operational, research, management, and external partnership resources across competing innovation opportunities.
5. Managing innovation uncertainty through phased investment, experimentation, decision gates, portfolio diversification, scenario analysis, contingency options, and progressive commitment.
6. Executive Case Study: Prioritising a portfolio of competing innovation proposals when the organisation has limited capital and must choose among customer experience, Artificial Intelligence, new products, operational automation, sustainability, and market expansion.
1. Developing innovation business cases covering strategic rationale, customer problem, proposed solution, market opportunity, competitive position, implementation requirements, financial assumptions, risks, and expected benefits.
2. Evaluating innovation investments using cost-benefit analysis, return on investment, cash-flow analysis, break-even analysis, scenario analysis, sensitivity analysis, strategic value, and option value.
3. Understanding innovation funding approaches including internal budgets, corporate venture funds, strategic partnerships, grants, investors, development finance, research partnerships, and blended funding arrangements.
4. Developing commercialisation strategies covering market entry, pricing, distribution, partnerships, customer acquisition, intellectual property, branding, sales channels, and scaling.
5. Establishing benefits-realisation mechanisms covering revenue growth, cost reduction, productivity improvement, customer value, operational efficiency, social impact, sustainability, strategic capability, and learning.
6. Executive Case Study: Evaluating whether to commercialise a successful pilot where customer response is positive but scaling requires substantial investment, new capabilities, stronger partnerships, and acceptance of significant market uncertainty.
1. Understanding the characteristics of innovative organisational cultures including curiosity, creativity, collaboration, experimentation, learning, openness, adaptability, psychological safety, entrepreneurship, and responsible risk-taking.
2. Developing executive leadership behaviours that encourage idea generation, constructive challenge, employee empowerment, experimentation, cross-functional collaboration, knowledge sharing, and continuous improvement.
3. Identifying barriers to innovation including bureaucracy, fear of failure, rigid hierarchy, short-term incentives, organisational silos, limited resources, excessive controls, resistance to change, and weak leadership support.
4. Designing organisational structures, innovation teams, cross-functional squads, innovation labs, centres of excellence, communities of practice, and governance arrangements that enable innovation.
5. Aligning talent management, recruitment, skills development, recognition, performance management, leadership development, incentives, and employee engagement with innovation strategy.
6. Executive Case Study: Transforming a risk-averse organisation where employees have stopped proposing new ideas because previous failures were punished, approval processes are slow, departments operate independently, and senior leaders dominate decisions.
1. Understanding intellectual property in innovation including patents, trademarks, copyright, trade secrets, licensing, confidential information, proprietary knowledge, and organisational intellectual assets.
2. Establishing innovation governance structures covering board oversight, executive sponsorship, innovation committees, delegated authorities, decision rights, investment approvals, reporting, and accountability.
3. Managing innovation risks including market risk, technology risk, financial risk, operational risk, cybersecurity risk, regulatory risk, intellectual property risk, reputational risk, ethical risk, and execution risk.
4. Developing responsible innovation principles covering ethics, sustainability, privacy, fairness, safety, accessibility, stakeholder impact, environmental responsibility, and regulatory compliance.
5. Establishing governance for innovation partnerships, technology procurement, research collaboration, data sharing, Artificial Intelligence, third-party solutions, intellectual property ownership, and commercialisation agreements.
6. Executive Case Study: Governing a collaborative technology innovation where several organisations contribute data, intellectual property, expertise, funding, and technology while ownership, accountability, privacy, and commercial rights remain unclear.
1. Developing innovation Key Performance Indicators covering idea generation, experimentation, learning speed, innovation pipeline, customer adoption, time to market, investment, commercial performance, strategic value, and portfolio balance.
2. Building executive innovation dashboards that communicate portfolio health, investment, progress, risks, learning, customer evidence, financial performance, scaling readiness, and strategic contribution.
3. Scaling successful innovations through operational integration, workforce capability, technology infrastructure, financing, partnerships, supply chains, customer acquisition, governance, and organisational change.
4. Conducting post-innovation reviews to assess strategic outcomes, customer value, financial results, operational performance, assumptions, implementation challenges, lessons learned, and future improvement opportunities.
5. Institutionalising innovation through strategy reviews, leadership accountability, continuous experimentation, innovation governance, employee participation, knowledge management, external partnerships, and organisational learning.
6. Executive Case Study and Capstone Exercise: Developing and presenting a comprehensive Innovation Management Executive Action Plan integrating strategic innovation priorities, opportunity areas, customer needs, innovation portfolio, Artificial Intelligence and digital opportunities, investment requirements, governance, organisational culture, partnerships, intellectual property, risks, KPIs, scaling priorities, and a 90-day innovation implementation roadmap.
1. Customized Training: All our courses can be tailored to meet the specific needs of participants.
2. Language Proficiency: Participants should have a good command of the English language.
3. Comprehensive Learning: Our training includes well-structured presentations, practical exercises, web-based tutorials, and collaborative group work. Our facilitators are seasoned experts with over a decade of experience.
4. Certification: Upon successful completion of training, participants will receive a certificate from Foscore Development Center (FDC-K).
5. Training Locations: Training sessions are conducted at Foscore Development Center (FDC-K) centers. We also offer options for in-house and online training, customized to the client's schedule.
6. Flexible Duration: Course durations are adaptable, and content can be adjusted to fit the required number of days.
7. Onsite Training Inclusions: The course fee for onsite training covers facilitation, training materials, two coffee breaks, a buffet lunch, and a Certificate of Successful Completion. Participants are responsible for their travel expenses, airport transfers, visa applications, dinners, health/accident insurance, and personal expenses.
8. Additional Services: Accommodation, pickup services, flight booking, and visa processing arrangements are available upon request at discounted rates.
9. Equipment: Tablets and laptops can be provided to participants at an additional cost.
10. Post-Training Support: We offer one year of free consultation and coaching after the course.
11. Group Discounts: Register as a group of more than two and enjoy a discount ranging from 10% to 50%.
12. Payment Terms: Payment should be made before the commencement of the training or as mutually agreed upon, to the Foscore Development Center account. This ensures better preparation for your training.
13. Contact Us: For any inquiries, please reach out to us at training@fdc-k.org or call us at +254712260031.
14. Website: Visit our website at www.fdc-k.org for more information.