A Theory Based Analysis of Path Dependency

Last registered on May 30, 2024

Pre-Trial

Trial Information

General Information

Title
A Theory Based Analysis of Path Dependency
RCT ID
AEARCTR-0013625
Initial registration date
May 27, 2024

Initial registration date is when the trial was registered.

It corresponds to when the registration was submitted to the Registry to be reviewed for publication.

First published
May 30, 2024, 3:42 AM EDT

First published corresponds to when the trial was first made public on the Registry after being reviewed.

Locations

Region

Primary Investigator

Affiliation
Università Bocconi

Other Primary Investigator(s)

PI Affiliation
Università Bocconi
PI Affiliation
Università Bocconi

Additional Trial Information

Status
Completed
Start date
2024-05-28
End date
2024-05-30
Secondary IDs
Prior work
This trial does not extend or rely on any prior RCTs.
Abstract
This study proposes a theory-based perspective on path dependency, emphasizing the impact of both internal and external initial conditions on economic decision-making processes. Building on the framework established by David (2007), we argue that internal factors, particularly actors’ initial beliefs and priors, play a crucial role in shaping decision trajectories and influencing the likelihood of sub-optimal lock-ins. We identify four pathways through which decision makers form their priors: 1) Ignoring path dependency, thereby risking commitment to inferior paths with a single theory and an outside option; 2) Acknowledging path dependency but failing to consider unforeseen contingencies, which may lead to sub-optimal lock-ins; 3) Anticipating new information, events, and shocks, thereby adjusting their theory’s value to account for unforeseen developments; 4) Evaluating multiple theories of value, which can help avoid sub-optimal lock-ins. We hypothesize that economic actors who anticipate path dependency and unknown events and develop multiple theories of value are less likely to experience sub-optimal lock-ins. The QWERTY keyboard case is reinterpreted through these four lenses to underscore the importance of initial internal condition setting.
External Link(s)

Registration Citation

Citation
Camuffo, Arnaldo, Alfonso Gambardella and Saeid Kazemi. 2024. "A Theory Based Analysis of Path Dependency." AEA RCT Registry. May 30. https://doi.org/10.1257/rct.13625-1.0
Experimental Details

Interventions

Intervention(s)
Experiment Description:

The experiment is structured to investigate the likelihood of selecting the sub-optimal path in a path dependent decision under different initial conditions. These conditions include the awareness of path dependency, and its interaction with optimistic and pessimistic awareness of the unknown (unforeseen future states). Participants, selected among managers and divided equally among males and females, will be recruited via Prolific and the experiment will be hosted on the IMSL website (imsl.unibocconi.it). We aim to enroll 1,500 participants.

Procedure:
Participants will begin with a welcome page followed by a baseline survey to collect control variables such as age, gender, education level, field of education, industry, job function, total experience, and managerial experience. Based on their responses to the baseline survey and the education field question, participants will be randomly assigned to one of four groups. The assignment algorithm ensures that only 8 participants join the experiment at any time and maintains a balanced ratio of STEM to Non-STEM participants across the groups.

Experiment Flow:

Introduction Video: All participants watch a video recounting the story of Christopher Latham Sholes and his development of the typewriter, focusing on the period before 1867 and the selection of the QWERTY layout. The video highlights the challenges Sholes faced, particularly the high likelihood of the typewriter jamming.

Scenario Presentation: At the end of the video, participants are asked to put themselves in Sholes' shoes, deciding between three keyboard layouts presented on the next page based on two criteria:

Jamming Resistance (0 to 10): How well the layout prevents jamming.
Typing Speed (0 to 10): How fast typists can type if the typewriter doesn't jam.

The three layouts are:

Layout 1: Scores 10 in jamming resistance but 0 in typing speed.
Layout 2: Balanced with scores of 3 in both criteria.
Layout 3: Scores 0 in jamming resistance but 10 in typing speed.

Group Treatments:
Participants are divided into four groups, each receiving different information at the end of the video and on the following page before the layout selection:

Placebo Group:
Intervention: Participants in this group will be presented with only the essential information from the video recounting the story of Christopher Latham Sholes and his development of the typewriter. They will learn about the challenges Sholes faced, including the high likelihood of the typewriter jamming, but will not receive any additional context regarding path dependency or future uncertainties.
Objective: This group's role is to serve as a control, providing a baseline for comparison with the other groups.

Path Dependency Group:
Intervention: Participants will receive the same initial information as the Placebo Group. Additionally, they will be explicitly informed about the increase in switching cost and the difficulty of the adoption of new keyboard layouts in the future, and how their current decisions might become irreversible.
Objective: To assess the impact of awareness of path dependency on decision-making. We hypothesize that being aware of the increase in switching costs and path dependency results in a lower likelihood of selecting the sub-optimal paths compared to the control group.

Pessimistic Unknown Group:
Intervention: In addition to the path dependency information provided to the Path Dependency Group, participants in this group will be made aware that Sholes recognizes his limited knowledge of future events and is pessimistic about unforeseen developments such as the emergence of major competitors. This intervention aims to highlight the negative potential of .
Objective: To examine how a pessimistic view of future uncertainties affects decision-making in a path-dependent context.
Optimistic Unknown Group:

Intervention: Similar to the Pessimistic Unknown Group, these participants will receive information about path dependency and Sholes' recognition of his limited knowledge of the future. However, they will be informed that Sholes was optimistic about unforeseen future developments, emphasizing the potential positive outcomes of unknown future states.
Objective: To explore how an optimistic perspective on future uncertainties influences decision-making in a path-dependent context.

This setup allows us to examine how different treatments influence the decision-making process and the likelihood of sub-optimal lock-ins.
Intervention Start Date
2024-05-29
Intervention End Date
2024-05-30

Primary Outcomes

Primary Outcomes (end points)
The key outcome is the choice of the layout by participants:
Layout 1: Scores 10 in jamming resistance but 0 in typing speed. (This is assigned a value of 0)
Layout 2: Balanced with scores of 3 in both criteria. (This is assigned a value of 1)
Layout 3: Scores 0 in jamming resistance but 10 in typing speed. (This is assigned a value of 2)
Primary Outcomes (explanation)
This outcome variable measures the optimality of the selected path, with the first layout which if selected would be a least optimal path in the future being assigned a value of 0, all the way to layout three which if selected would be the most optimal path in the future assigned a value of 2.

Secondary Outcomes

Secondary Outcomes (end points)
Time taken to select a layout
Secondary Outcomes (explanation)
The time each participant takes to select a keyboard layout might be affected by the treatment, which points towards a higher cognitive cost when the participant is made aware of path dependency, and the unknown.

Experimental Design

Experimental Design
The engagement entails participation in an online experiment on the IMSL website (imsl.unibocconi.it/scenario) distributed through Prolific. Participants will be first introduced to the survey on the first page in two simple sentences, making them aware of the context of the experiment and the end goal which is “the optimal keyboard layout for his Type Writer machine”. They are then asked to fill in a short baseline survey with 8 questions on demographic information. The participants are then asked to watch a short video on the invention of the Type Writer Machine by Christopher Latham Sholes and are then asked to select a keyboard layout based on the available information. Finally, they are thanked for their participation, explicitly debriefed on the experiment, and redirected back to Prolific. This activity is expected to last 5 minutes in total.
Experimental Design Details
The engagement entails participation in an online experiment on the IMSL website (imsl.unibocconi.it/scenario) distributed through Prolific. Participants will be first introduced to the survey on the first page in two simple sentences, making them aware of the context of the experiment and the end goal which is “the optimal keyboard layout for his Type Writer machine”. They are then asked to fill in a short baseline survey with 8 questions on demographic information. The participants are then asked to watch a short video on the invention of the Type Writer Machine by Christopher Latham Sholes and are then asked to select a keyboard layout based on the available information.

There will be 4 arms in the experiment, differing on the information they receive at the end of the video, and before the layout selection.
The control group will receive the essential information needed to make a decision about the layout.
The path dependency group will be made aware of the potential path dependency and the increasing switching costs associated with the choice of layout.
The path dependency-pessimistic unknown will not only be made aware of path dependency, but also they will be made aware of unforeseen contingencies and that Sholes is pessimistic about them.
The path dependency-optimistic unknown will not only be made aware of path dependency, but also they will be made aware of unforeseen contingencies and that Sholes is optimistic about them.

Finally, they are thanked for their participation, explicitly debriefed on the experiment, and redirected back to Prolific. This activity is expected to last 5 minutes in total.
Randomization Method
The experimental design is a “treatment within treatment”.
In the first phase of the experiment, we collect information about participants' educational backgrounds and
categorize them into STEM and non-STEM groups. We then create 8 groups based on the intersection of
these two categories (STEM vs. non-STEM) with the four experimental arms. Each participant is assigned to
the group with the lowest number of active and finished participants. This assignment is determined by:
1. The number of participants who have already finished the experiment in that group.
2. The number of participants currently active in the experiment.
If two groups have the same number of active and finished participants, the participant will be assigned to the
group with the fewer finished participants. If both groups also have the same number of finished participants,
the allocation will be done randomly.
To ensure a balanced number of participants in each group and to manage the flow of the experiment, we
limit the number of participants who can enter the experimental platform at the same time to 12. This helps
prevent an imbalance at the end of the experiment caused by participants who start but do not finish the
experiment.
Randomization Unit
Individual
Was the treatment clustered?
No

Experiment Characteristics

Sample size: planned number of clusters
0. We do not use clusters
Sample size: planned number of observations
1500 Managers from the US and the UK, contacted though Prolific, and with equal share of men and women.
Sample size (or number of clusters) by treatment arms
We expect roughly 375 participants in each arm
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
Actual power = 0.8 Effect size d = 0.2
IRB

Institutional Review Boards (IRBs)

IRB Name
Bocconi Research Ethics Committee
IRB Approval Date
2024-05-27
IRB Approval Number
RA000759
Analysis Plan

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Post-Trial

Post Trial Information

Study Withdrawal

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Intervention

Is the intervention completed?
No
Data Collection Complete
Data Publication

Data Publication

Is public data available?
No

Program Files

Program Files
Reports, Papers & Other Materials

Relevant Paper(s)

Reports & Other Materials