The KM research roadmap consists of 39 RNs and 11 RPSs that collectively address the identified RNs. Figure 2 illustrates the relationship between RPSs and RNs.
Six of the RPSs are scoped for the full NCHRP project; another five are intended to support the implementation of the results of the six full NCHRP RPSs (and other prior projects). Implementation projects may be funded through NCHRP Project 20-44, “NCHRP Implementation Support Program,” or AASHTO Committee Support programs (e.g., NCHRP Project 20-123, “Support for AASHTO Committees and Councils,” or NCHRP Project 20-24, “Administration of Highway and Transportation Agencies”).
The 39 RNs are organized into the following RN categories and are designed to address the barriers to KM adoption and advancement discussed in the previous section:
The 11 RPSs are organized into the following three research tracks:
Table 2 summarizes the three research tracks—their purpose, the gaps they intend to address, and the proposed primary RPSs they include and implementation support RPSs that would facilitate the adoption of the primary research results.
Table 2. KM research roadmap overview.
| Research Track | KM Implementation Resources | Advancing Knowledge Discovery and Delivery | Fostering Learning Cultures |
|---|---|---|---|
| Purpose | Provide practical guidance to help DOTs expand the application and impact of KM. | Advance tools and methods for knowledge discovery and delivery. | Advance practices for overcoming cultural barriers to knowledge creation, learning, and improvement. |
| Why Needed? |
Lack of operationally focused guidance on integrating KM within existing DOT functions.
Lack of tools for assessing KM maturity and benchmarking implementation progress geared toward DOTs. |
Lack of DOT-specific data about the extent of the inefficiencies and risks associated with current info rmation and knowledge discovery practices.
Siloed approaches to data and information management that inhibit knowledge transfer and integration. Strong potential for game-changing advances in knowledge discovery and delivery using a combination of AI technologies and semantic models representing transportation subject domains. |
Limited understanding of how organizational culture affects learning and collaboration.
Lack of tools and strategies DOTs can use to assess and tackle cultural barriers. |
| Primary RPSs |
PS1. KM Manual
PS2. KM Toolkit |
PS4. Guide for a Holistic Approach to Information and Knowledge Management
PS5. Anticipatory Knowledge Delivery for DOTs PS6. AI Applications for Knowledge Discovery and Delivery |
PS10. Guide for Fostering Organizational Learning and Collaboration |
| Implementation Support RPSs | PS3. Leadership Forum and Peer Exchanges Supporting Implementation of the KM Manual and Toolkit |
PS7. Supporting Implementation of Holistic Approaches to Information and Knowledge Management
PS8. Supporting Implementation of Anticipatory Knowledge Systems for Transportation Agencies PS9. Supporting Implementation of AI Applications for Knowledge Discovery and Delivery |
PS11. Supporting Implementation of Learning Culture Assessment and Improvement |
Several completed and active research projects have produced or are expected to produce results that will feed into the proposed research in this roadmap. It will be important to ensure the new projects build on and do not duplicate what has already been accomplished. The most important contributing projects have been identified for each research track and are shown in Figures 3 through 5. Other potentially related projects are listed in Table A-1; for example, several projects have covered the topic of succession management, which is related to fostering a learning culture.
Both RNs and RPSs were tagged with classifications indicating what types of KM processes they cover and what types of KM implementation motivations they address. The following categories are used for KM processes and implementation motivations:
These tags were created to facilitate use of the roadmap and ensure its coverage of important aspects of KM. Note that tags were assigned to reflect only the primary intent or content of the need or problem statement. For example, PS4–Holistic Approach to Information and Knowledge Management is not tagged to include the Collaboration and Social Learning KM process because it is primarily concerned with the other three processes. While collaboration could in fact be covered in this project as part of implementing this holistic process, it is not the primary focus.
Table 3 lists the RNs within each research category and indicates the RPSs to which each RN has been assigned. Further descriptions of each RN are provided in Appendix C.
Table 4 lists the RPSs within each research track. Detailed RPSs are provided in Appendix D.
Both tables identify the tags for KM Motivations and Processes assigned to each RN and RPS.
This research roadmap was designed to fit within a 5-year time horizon. Therefore, relatively few proposed RPSs exist. By design, each RPS has a fairly large scope, in most cases involving two phases of work. Thus, most of the dependencies across individual RNs are reflected within the projects, in terms of the sequence of activities conducted to produce the final products. Considerable flexibility exists with respect to the order in which the projects are done—other than that, implementation projects need to follow the primary research project(s) they support.
Figure 6 illustrates one possible sequencing of the projects represented by the proposed RPSs. This order can be modified at the discretion of the AASHTO CKM and other KM stakeholders. This timing was based on the following considerations:
Colors indicate relationships between primary research projects and their associated implementation projects.
Table 3. RNs.
| MOTIVATIONS | PROCESSES | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|
| Succession Management | Innovation | Continuous Improvement | Efficiency | KM Strategy & Planning | Knowledge Capture & Reuse | Collaboration & Social Learning | Knowledge Representation | |||
| NEED | PROBLEM STATEMENT | DESCRIPTION | ||||||||
| NEED CATEGORY A. UNDERSTAND THE CONTEXT FOR KM | ||||||||||
| A1 | PS1 | Learning and Improvement in DOTs: Understanding Current Practice | ■ | ■ | ■ | ■ | ■ | ■ | ||
| A2 | PS4 | Finding Information at DOTs: Understanding Current Practice | ■ | ■ | ■ | |||||
| A3 | PS10 | Changing the Status Quo: Understanding Approaches to Introducing New Practices | ■ | ■ | ■ | |||||
| A4 | PS10 | Anatomy of a Successful Innovation | ■ | ■ | ■ | |||||
| A5 | PS10 | The Elements of Culture at a Transportation Agency | ■ | ■ | ■ | ■ | ■ | ■ | ■ | ■ |
| NEED CATEGORY B. DOCUMENT AND SHARE KM PRACTICES | ||||||||||
| B1 | PS2 | Scoping Study: A Sustainable Model for Sharing KM Practices | ■ | ■ | ■ | ■ | ■ | ■ | ■ | |
| B2 | PS2 | Transportation Agency KM Practice Compendium | ■ | ■ | ■ | ■ | ■ | ■ | ■ | |
| NEED CATEGORY C. PROVIDE PRACTICAL GUIDANCE ON KM IMPLEMENTATION | ||||||||||
| C1 | PS1 | Updated KM Guide/Manual | ■ | ■ | ■ | ■ | ■ | ■ | ■ | ■ |
| C2 | PS2 | KM Playbook | ■ | ■ | ■ | ■ | ■ | ■ | ■ | ■ |
| C3 | PS2 | Model Internal Agency KM Manual | ■ | ■ | ■ | ■ | ■ | ■ | ■ | |
| C4 | PS1 | KM Guidance for Different DOT Functions | ■ | ■ | ■ | ■ | ■ | ■ | ||
| C5 | PS1 | KM Guidance for Human Resources (HR) Managers | ■ | ■ | ■ | ■ | ■ | ■ | ||
| C6 | PS4 | Managing DOT Information: A Holistic Approach | ■ | ■ | ■ | |||||
| C7 | PS1 | Model DOT Knowledge Architecture | ■ | ■ | ■ | ■ | ■ | ■ | ■ | ■ |
| C8 | PS2 | A Compendium of Techniques for Sharing DOT Knowledge Assets | ■ | ■ | ■ | ■ | ||||
| C9 | PS10 | KM Practices Supporting Resilience | ■ | ■ | ■ | ■ | ■ | |||
| C10 | PS2 | Sustainable Methods for Creating and Maintaining Employee Expertise Directories | ■ | ■ | ■ | ■ | ■ | |||
| C11 | PS10 | Strengthening Transportation Agency Cross-Functional Collaboration | ■ | ■ | ■ | ■ | ■ | |||
| C12 | PS10 | Integrating Emergent Practices in Transportation Agencies – Guidance for Senior Managers | ■ | ■ | ■ | ■ | ■ | |||
| C13 | PS10 | Change Management Guidance Supporting KM | ■ | ■ | ■ | ■ | ■ | ■ | ■ | ■ |
| NEED CATEGORY D. PROVIDE PRACTICAL TOOLS FOR KM IMPLEMENTATION | ||||||||||
| D1 | PS1 | KM Maturity Model for DOTs | ■ | ■ | ■ | ■ | ■ | |||
| D2 | PS1 | KM Maturity Assessment Tool | ■ | ■ | ■ | ■ | ■ | |||
| D3 | PS10 | KM Risk Assessment Tool | ■ | ■ | ■ | ■ | ■ | |||
| D4 | PS10 | Learning Culture Assessment Tool | ■ | ■ | ■ | ■ | ■ | |||
| D5 | PS2 | Knowledge Mapping Tool | ■ | ■ | ■ | ■ | ■ | |||
| D6 | PS2 | Social Network Analysis Tool | ■ | ■ | ■ | ■ | ■ | ■ | ||
| D7 | PS2 | KM Communication Tools | ■ | ■ | ■ | ■ | ■ | ■ | ■ | ■ |
| D8 | PS2 | KM Toolkit | ■ | ■ | ■ | ■ | ■ | |||
| NEED CATEGORY E. ADVANCE KNOWLEDGE REPRESENTATION AND DELIVERY METHODS | ||||||||||
| E1 | PS5 | Anticipatory Knowledge Delivery for Transportation Agencies | ■ | ■ | ||||||
| E2 | PS6 | Applications of AI to Support KM in Transportation Agencies | ■ | ■ | ■ | ■ | ■ | ■ | ■ | ■ |
| E3 | PS6 | Advancing Knowledge Representation Methods for Transportation Agencies | ■ | ■ | ■ | ■ | ■ | |||
| E4 | PS6 | Advancing Knowledge Discovery Methods for Transportation Agencies | ■ | ■ | ■ | ■ | ■ | ■ | ■ | |
| NEED CATEGORY F. FACILITATE KM RESEARCH IMPLEMENTATION | ||||||||||
| F1 | PS3 | Leadership Forum on KM | ■ | ■ | ■ | ■ | ■ | |||
| F2 | PS3 | KM Peer Exchanges | ■ | ■ | ■ | ■ | ■ | ■ | ■ | ■ |
| F3 | PS7 | Supporting Implementation of Holistic Approaches to Information and Knowledge Management | ■ | ■ | ■ | |||||
| F4 | PS9 | Advancing Knowledge Representation Methods for Transportation Agencies – Pilot Applications | ■ | ■ | ■ | ■ | ■ | |||
| F5 | PS9 | Supporting Implementation of AI Applications for Knowledge Discovery and Delivery | ■ | ■ | ■ | ■ | ■ | ■ | ■ | |
| F6 | PS11 | Supporting Implementation of Learning Culture Assessment and Improvement | ■ | ■ | ■ | ■ | ■ | ■ | ||
| F7 | PS8 | Anticipatory Knowledge System – Pilot Application | ■ | ■ | ||||||
Table 4. RPSs.
| MOTIVATIONS | PROCESSES | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|
| Succession Management | Innovation | Continuous Improvement | Efficiency | KM Strategy & Planning | Knowledge Capture & Reuse | Collaboration & Social Learning | Knowledge Representation | |||
| PROBLEM STATEMENT | PREDECESSOR(S) | |||||||||
| TRACK 1: KM IMPLEMENTATION RESOURCES | ||||||||||
| PS1 | A Knowledge Management Manual for Transportation Agencies | ■ | ■ | ■ | ■ | ■ | ||||
| PS2 | A Knowledge Management Toolkit for Transportation Agencies | PS1 | ■ | ■ | ■ | ■ | ■ | ■ | ■ | |
| PS3 | Leadership Forum and Peer Exchanges Supporting Implementation of the KM Manual and Toolkit | PS1, PS2 | ■ | ■ | ■ | ■ | ■ | ■ | ■ | ■ |
| TRACK 2: ADVANCING KNOWLEDGE DISCOVERY AND DELIVERY | ||||||||||
| PS4 | Holistic Approach to Information and Knowledge Management | ■ | ■ | ■ | ■ | ■ | ■ | ■ | ||
| PS5 | Anticipatory Knowledge Delivery for DOTs | ■ | ■ | ■ | ■ | |||||
| PS6 | AI Applications for Knowledge Discovery and Delivery | ■ | ■ | ■ | ■ | ■ | ||||
| PS7 | Supporting Implementation of Holistic Approaches to Information and Knowledge Management | PS4 | ■ | ■ | ■ | ■ | ■ | ■ | ■ | |
| PS8 | Supporting Implementation of Anticipatory Knowledge Systems for Transportation Agencies | PS5 | ■ | ■ | ■ | ■ | ||||
| PS9 | Supporting Implementation of AI Applications for Knowledge Discovery and Delivery | PS6 | ■ | ■ | ■ | ■ | ■ | |||
| TRACK 3: FOSTERING LEARNING CULTURES | ||||||||||
| PS10 | Guide for Fostering Organizational Learning and Collaboration | ■ | ■ | ■ | ■ | |||||
| PS11 | Supporting Implementation of Learning Culture Assessment and Improvement | PS10 | ■ | ■ | ■ | ■ | ||||