Serendipity is defined as an ability to notice, evaluate, and take advantage of unexpected information for survival purposes (both natural and social). Based on this definition, Nancy K. Napier and Vuong Quan Hoang propose a framework to develop the notion of serendipity as a strategic advantage (or competitive advantage), both in practice and in research.
Since the term “serendipity” was coined in the fairy tale of The Three Princes of Serendip [1], serendipity has been discussed in many subjects, like science [2], business [3], education [4], career choice [5], etc. The concept is referred to various things, such as chance, coincidence, destiny, fate, karma, kismet, luck, and providence [5][6]. However, they have three similar main characteristics:
While the first two characteristics focus on the unexpectedness and anomalousness of the information - which are hard to control and manage, the third characteristic suggests that serendipity only happens when the individual has the ability to recognize and evaluate unexpected information and generate unintended value from that. The serendipity gained and lost in the case of the floppy-eared rabbits is a prime example of the third characteristic [2].
As serendipity significantly relies on the alertness and the capability of an individual to happen [7][10][11][12], scholars believe that the possibility of encountering serendipity can be enhanced by developing appropriate organization’s cultural and physical infrastructures as well as individuals’ skills and capabilities. Grounded on this belief, Napier and Vuong [13] proposed a framework for developing the notion of serendipity as a strategic advantage (or competitive advantage). Even though the framework was constructed mostly based on examples from the business perspective, it can be still applied as a general framework for other aspects, like science, education, politics, etc.
The framework that Nancy K. Napier and Vuong Quan Hoang [13] proposed to develop the conception of serendipity as a strategic advantage consists of four main stages, with subparts in some (see Figure 1). The four main stages are as follows:
The first stage is setting the stage or conditions that can improve the individual’s likelihood to notice unexpected information or events. This stage includes subparts ‘A’, ‘B’, ‘C’, and ‘G’, which correspond to factors that can influence the likelihood of unexpected information being noticed. ‘A’ is the traits or conditions of an individual that will make them more or less likely to notice unsought and out-of-ordinary information, such as openness, confidence, curiosity, and alertness. ‘B’ is the organizational culture that can affect serendipity’s appearance likelihood, like openness to new ideas, allowance for “sloppiness,” a cross-discipline mix of people, etc.
External conditions and trends represented by ‘C’ indicate the situations happening outside of the organization. These conditions and trends can be crucial determinants of serendipity’s appearance likelihood in specific settings or industries. ‘G’ is quite special: although some information is evaluated as “no value,” the simple act of noticing and recognizing the possibilities may enhance the openness for setting the stage for future noticing.
The second stage (or ‘D’) of the serendipity process has two main functions. The first function is noticing or being alert to unexpected information. The second function is connecting unexpected information. Connecting unexpected information can provide more valuable inputs preceding the evaluation stage compared to unconnected information, though the second function is not always necessary.
After the information is noticed or connected, flash evaluation and systematic evaluation (or ‘E’) will be subsequently carried out for assessing the values of the unexpected information. Initially, an individual does a quick, almost gut feeling assessment of the unusual information. That assessment makes the individual become more alert to whether there are ways to connect the observed information to other already known information, from both internal sources (e.g. personal or organizational sources) and external sources (e.g. environmental sources).
Suppose the flash evaluation cannot assess the unexpected information. In that case, it will be assessed by a more systematic evaluation which includes an analytical assessment that leads to a clearer verification of the information’s potential value. During this process, the evaluation might be affected by the risk tolerance, uncertainty surrounding the information and evaluation, timing, and finding additional information, which will help the individual confirm or dispute the initial unexpected information.
Napier and Vuong also suggest that there are three critical elements in the systematic evaluation part: (1) the distance between the perceived (or anticipated) opportunity from the unexpected information and the reliability of the evaluation of the unexpected information (in the middle), (2) the general evaluation process from “gut feel” to a firmer belief about the evaluation, and (3) the factors that may influence the process of evaluation. Those elements also determine the extent to which the information used in making decisions is weighted internally or externally.
The systematic evaluation can result in three decision outcomes that lead to different levels of competitive advantages. First, when the evaluators/decision-makers are not “swayed” too strongly by any internal or external factors, the evaluation is “balanced”, and the outcome may well be an opportunity that the decision-makers leverage when competitors do not.
Second, the decision-maker notices unexpected information but mostly because others have pointed it out and suggested a way to leverage it. The decision-maker then essentially follows the herd to try and take advantage of the unusual information, resulting in what might be called a “herd” outcome. In this case, there is no competitive advantage to the organization because a herd of organizations is trying to leverage the information.
Third, internal decision-makers may be pressured by external sources, such as government policymakers, to act. In this case, the organization may act on unexpected information without thoroughly considering external factors or repercussions. External sources have evaluated unexpected information for the internal decision-makers, and the subsequent outcome is not necessarily in the favor of the decision-makers.
Figure 1: ‘Serendipity as a strategic advantage’ framework. Retrieved and modified from Napier and Vuong.
To become a competitive advantage, the assessment must yield value and action because the ability to recognize and evaluate unexpected information has no value in itself. Whether the individuals and the organization as a whole can leverage the use of serendipity to create values will determine the results of solving an existing or not-yet-tackled problem, finding an opportunity, or generating new ideas for future use.
The ‘serendipity as a strategic advantage’ framework is an important contribution to the science of serendipity. Sethna [14] suggests that using serendipity as a strategic advantage is one of the most prominent definitions of serendipity, besides chance, fate, destiny, karma, etc. Indeed, several frameworks and models have been built upon the serendipity process indicated by the ‘serendipity as a strategic advantage’ framework. Those frameworks and models include the new theory of serendipity [15], 3D information process of creativity [3], the mindsponge mechanism [15][16], Bayesian Mindsponge Framework analytics [17][36], the digital the digital information encountering modelinformation encountering model [18], and the the 4S model (strategy, serendipity, storytelling, and software)4S model (strategy, serendipity, storytelling, and software) in entrepreneurial marketing [19].
Moreover, the notion of serendipity in the framework has also been employed for discussing how to improve creativity or the chance to encounter serendipity in vatheorious aspects, such as Covid-19 vaccines production and societal immunization [20], teaching and training [21][22], doctoral education [23], new ventures’ performance and success [24][25], computational entrepreneurship [26], business spin-offs [27], land use policy [28], scientific thinking [29], corporate sector’s innovation [30][31], and scholarly publishing [32][33], information curation [34].