Having covered strategy, the system and the architecture in the preceding chapters, we now return to the one for whom all of these are built: the person who carries the idea. We look at the characteristics and motivation of innovators, trace the path an idea travels with them, and consider what they need from their environment at each stage along the way.
During her field training, a third-year student noticed that people visiting one agency waited for hours to complete a procedure that could easily be shortened, and she pictured a simple fix. She took the idea to the professor of one of her courses, who praised it and then reminded her that the final exam covered chapters one through ten. She went to the university's business accelerator, where she was asked for a full business plan she did not know how to write. She then logged the idea on the ideas platform and received an automated acknowledgment; nothing came after it. Two semesters later, she had forgotten the idea. No one rejected it, and no one accepted it.
The student noticed the problem, imagined the solution and knocked on three doors. Where, then, did her idea stall? And what did she need in order to take a single step forward? That is the question this chapter takes up, and we approach it from the innovator's own vantage point: who the innovator is, what they need, and how the environment and systems around them are designed.
After studying this chapter, the reader should be able to:
Many organizations have innovation centers, platforms and budgets, yet they do not produce innovation on a recurring basis. In our view, one of the most important reasons is that these systems were designed around procedure and overlooked people: they specify stages, templates and criteria, and then assume that ideas will flow into them. An idea, however, is born in the mind of someone who notices, questions and connects, and who then decides to make an extra effort that no one asked of them. It is this final decision that the environment either wins or loses.
Amabile offered the most influential model for explaining this relationship, the componential model of creativity (Amabile, 1988, 1996). It holds that individual creativity is shaped by three components within the person, all of which are surrounded and influenced by the work environment, as Figure 7.1 shows.
For innovation management, the significance of this model lies in the third component. Skills and processes grow slowly through education and experience, whereas motivation responds quickly to what happens to a person on a given day: how their idea was received, whether they found time for it, and whether they saw any result from their effort. This is why a poor environment can extinguish in weeks what years of education have built. Amabile and Pratt later developed the model to link individual creativity with organizational innovation, adding two elements: the progress a person perceives in work they consider meaningful. Together these feed motivation and keep it renewing itself (Amabile & Pratt, 2016).
Putting people first does not mean neglecting the system. The preceding chapters built the strategy that identifies which problems are worth working on, the system that turns ideas into value, and the architecture that connects the various units. This chapter places people at the center of all this, for the system is what connects people to problems; if either side is missing, there is nothing left for it to connect.
Innovators themselves see it this way. In a phenomenological study with ten innovative Saudi entrepreneurs, each with fifteen to twenty-five years of experience building innovative ventures, participants described a supportive community as one that begins by recognizing the innovator's distinctiveness and understanding their personal and cognitive style, and then invests in them and connects them with suitable economic environments. The study concluded that effective support invests in the innovator as a strategic human resource and goes beyond tracking their outputs (Alsamani, 2026 [Arabic]).
A popular image casts the innovator as a rare genius born with a gift. The research does not support this image in any absolute sense. In a meta-analysis of personality studies, Feist found that creative people in the sciences and the arts tend to share certain traits, most notably openness to new experiences, autonomy, self-confidence and high motivation (Feist, 1998). These traits, however, are distributed among people along a continuum. Every organization has some people who possess them to a high degree, and a larger number who possess them to a degree sufficient to innovate if they find the right environment.
The characteristics of innovators can be grouped into three clusters, as classified in the “innovator's path” model presented in the next section:
One characteristic that deserves managers' particular attention is creative self-efficacy: a person's belief in their ability to produce new and useful ideas. Tierney and Farmer found that it predicts employees' creative performance and is influenced by supervisor behavior and job experience (Tierney & Farmer, 2002). This means that part of an innovator's “talent” is built or broken in their work environment: an employee whose first ideas were met with ridicule learns that they are “not creative,” while a colleague who found someone to take their ideas seriously learns the opposite.
The same pattern appears in the experiences of successful innovators. In a phenomenological study conducted in 2023 with eleven prominent Saudi innovators, each with fifteen or more years of innovative work and products and ventures of wide impact, certain factors recurred in their narratives of their journeys. Nine of them regarded self-confidence as a necessity without which the path cannot be completed, and some mentioned talented friends who did not finish their projects because they lost confidence in their abilities. All participants agreed that continuous self-directed learning, driven by love of the field, was one of the reasons for their success (Alsamani, 2023).
Oldham and Cummings's research with employees at two manufacturing facilities sheds light on this question. They measured creativity through employees' suggestions, their patents and their supervisors' ratings, and found that the highest creativity emerged when three conditions came together: a creative personality, complex and challenging work, and supportive, noncontrolling supervision (Oldham & Cummings, 1996). A creative personality, then, is a disposition that the environment either reveals or conceals.
“The organization needs to hire innovators.” Hiring matters, but an innovator who enters an environment that rewards compliance and punishes mistakes adapts to it within months. The more useful step is for the organization to ask first: what happens today to the ideas of the people it already has?
A qualitative study with teachers of gifted students concluded that creativity and innovation are related yet distinct concepts: creativity is a complex, multifaceted process of generating ideas, which may be individual or collective and requires knowledge of the domain; innovation is the production of original, useful and tangible outcomes that society values (Alsamani, 2019). The difference between the two goes beyond definition to need: what a person needs while thinking differs from what they need while turning their idea into reality.
Building on this distinction, we propose the innovator's path model, illustrated in Figure 7.2. The model reads an idea's journey from the perspective of the person who holds it.
The model rests on four ideas:
The first is that the person stands on motivation. Cognitive and personal characteristics do not set themselves in motion; intrinsic motivation is what turns them into actual effort. This is why it is placed as the foundation on which the entire path rests.
The second is that the path consists of two different stages. In the thinking stage, a person needs freedom to explore, time to reflect, and as little premature judgment as possible. In the practice stage, the need changes: the idea now requires an opportunity to be tried in a real setting, enough resources to test it, and support from people who hold the authority or the expertise. Many organizations do one of the two stages well and neglect the other: competitions and hackathons celebrate thinking and then leave the winners with no route to practice. This is consistent with Baer's finding that creative ideas get implemented when their originators have both the motivation to implement them and a network of relationships to help them do so (Baer, 2012). The finding also matches what the Saudi innovators in the study cited above described: they all agreed on the importance of interacting with peers, and eight of them saw their network of relationships as a route to opportunities. Eight of them likewise held that turning the innovation into a source of income early on is a condition for persisting, and one recounted how a talented friend, forced into a job far from his passion, lost interest in his project (Alsamani, 2023). In the practice stage, then, resources do more than allow the idea to be tried; they determine whether the innovator will stay on the path.
The third is that the path has four possible outcomes. Besides the idea succeeding or proving ineffective, the path may remain without a decision. This outcome comes in two forms: continued processing, in which the person needs time to reflect, which is healthy; and a stalled process that no one has resolved, which Chapter 5 called decision limbo. The latter is the most damaging to motivation, because a reasoned rejection teaches its recipient something, whereas silence teaches them not to try again. This is what happened to the student in the opening case.
The fourth is that the environment surrounds the entire path. Enablers and barriers affect every step along it. Section 7.5 addresses them in detail.
The learning loop completes these ideas: an idea that has proven ineffective becomes a new starting point if its owner comes away with new knowledge and a desire to try again. That desire depends to a large extent on how the organization treated the failure.
If motivation is the foundation of the path, the practical question is what nourishes it. Self-determination theory answers that intrinsic motivation grows when three psychological needs are satisfied: autonomy, competence and relatedness (Gagné & Deci, 2005). We translate these general needs into specific needs that innovators experience within the organization, summarized in Table 7.1.
| Need | What it looks like when met | What the organization does | Discussed in |
|---|---|---|---|
| Recognition of the idea | The idea's owner feels it was read and understood, and receives credit for it | A reasoned response within an announced time frame, and keeping the owner's name attached to the idea at every stage | Ch. 5, Ch. 8, Ch. 10 |
| Opportunity | Finds a route to a real problem, and to someone who can try out the solution | Opening problems up to people, and reducing the steps between the idea's owner and those who can help | Ch. 6, Ch. 11 |
| Deferred criticism | The idea is explored before it is judged | Separating idea-generation sessions from evaluation sessions, and judging each stage by its own criteria | Ch. 12 |
| Autonomy within boundaries | Knows the problem and the goal, and owns the way to solve it | Defining the “what” and the “why” clearly, and leaving the “how” to people | Ch. 3, Ch. 4 |
| Resources and support | Finds enough to test the idea, and a sponsor who champions it | Staged funding, protected time, prototyping tools and executive sponsorship | Ch. 6, Ch. 10, Ch. 14 |
| Understanding and fit | Finds a system that suits their way of thinking and makes room for differences among people | Flexible entry routes: a conversation, a prototype or a written proposal | Ch. 5, Ch. 8 |
| Meaningful progress | Sees their idea moving, and sees its effect on a problem they care about | Making the idea's status visible, and celebrating interim steps alongside final results | Ch. 8, Ch. 15, Ch. 16 |
Two of these needs deserve a closer look. The first is deferred criticism. As early as the middle of the last century, Osborn called for separating the generation of ideas from judging them (Osborn, 1953). Amabile's research explains why this separation matters: expecting evaluation while working weakens intrinsic motivation and pushes people toward safe, familiar solutions (Amabile, 1996). Deferring criticism means putting it in its proper place along the path: an idea needs rigorous evaluation, but only after it has been given a chance to take shape.
The second is autonomy within boundaries, the concept that ties the chapters of this book together. Innovators do not need absolute freedom; indeed, boundless freedom can scatter their efforts. What they need is a clear problem and an understood goal, and then to be left to choose the route (Amabile, 1998). Leadership that specifies the “how” in detail deprives them of autonomy, and leadership that fails to specify the “what” deprives them of direction.
Take the last five ideas put forward by people on your team and ask yourself about each one: Does its owner know what happened to it? Were they told the reasons for the decision? Is their name still attached to it? Your answers reveal what your team has learned about whether thinking is worth the effort.
If motivation is the component of creativity most quickly affected by the environment, the next question is what in the environment raises or lowers it. Amabile and her colleagues developed an instrument for assessing the work environment for creativity and used it to compare projects rated as high and low in creativity within the same organizations. They found that the high-creativity projects were distinguished by encouragement at the level of the organization, the supervisor and the work group, by freedom in how the work was done, by challenge, and by sufficient resources. The low-creativity projects were marked by organizational impediments, such as internal conflict, conservatism and rigid formal structures, and by excessive workload pressure (Amabile et al., 1996).
These findings intersect with the environmental arc in the innovator's path model, as Figure 7.3 shows.
Three things stand out in the figure. First, most barriers are small everyday practices: a sarcastic remark in a meeting, a weekly progress report that no one reads, or an unnecessary deadline. Second, many of them arise from good intentions: monitoring is meant to ensure quality, and early criticism is meant to save effort. Third, the enablers cost little money, but they require awareness on the part of leaders and a change in their habits. This is why many organizations spend on visible inputs, such as centers and platforms, while keeping the everyday barriers that cancel out their effect.
Chapter 8 treats culture as the wider frame for these practices: unwritten values and norms, psychological safety, and the handling of failure.
The opening case returns with one final question: if the university redesigned its system around the student rather than around its procedures, what would change? Each step in her journey can be read as an unmet need:
The first step on this list matters most, because it touches every student, whereas only a few of them ever knock on the accelerator's door. In a study of 373 undergraduates from several Saudi universities, faculty support in everyday teaching was associated with students' creative self-efficacy and their innovative behavior, and self-efficacy explained part of this relationship (Alsamani & Alqahtani, 2026). It follows that specialized structures, such as incubators and accelerators, and the daily work of faculty members with their students are two parts of a single system. Faculty members themselves believe that students with creative traits need, alongside thinking and problem-solving skills, to become aware of promising creative and innovative opportunities aligned with Saudi Vision 2030 (Alsamani, 2023 [Arabic]).
This reading extends beyond the university. In any organization, each stage of the innovation system can be reviewed with a single question: what does the idea's owner need here, and what do they actually find? A system that asks this question regularly evolves around people; one that does not evolves around itself.
This question grows more important with artificial intelligence. AI tools now do much of what used to set the expert apart, including drafting the kind of business plan that stopped the student in her tracks. What remains for people is what the tool cannot do for them: noticing a problem no one asked them to notice, and caring about it enough to follow it through. These two things are precisely what the environment wins or loses.
A system built around procedure waits for ideas; a system built around people calls them forth. The difference between the two shows in what happens to one person's idea in its first week.
Choose a real idea that passed through your organization in the past year, preferably one that was never completed. Sit down with its owner and trace its journey together, step by step. At each step, record the unit it dealt with, what the idea's owner needed, and what they actually found. Then identify the point at which the path stalled and the need that went unmet there. Repeat the tool with three or four ideas, and look for the point that recurs.
| Step | Unit | What was needed | What was found | Effect on motivation |
|---|---|---|---|---|
| Noticing the problem | Field training site | Time and space to reflect | Available | High |
| First pitch | Course professor | An opportunity in the course to develop the idea | Praise without opportunity | Steady |
| Seeking support | Business accelerator | Guidance suited to the thinking stage | A requirement for a full business plan | Low |
| Formal registration | Ideas platform | A reasoned response within an announced time frame | Automated reply, then silence | Extinguished |
| Stalling point: decision limbo on the platform. Unmet need: recognition. | ||||