Understand feelings
Listen and check understanding. Use AI to draft context-sensitive responses, with people reviewing suitability before use.
EMOTION / REASON / ETHICS
Leadership By FranchiseX
Leadership in the AI era
Understand people. Think with evidence.
Use AI responsibly.
FranchiseX Community By TDWI · Curriculum initiated by บรรเจิด ยอดศิริ
Published and revised · Thailand date
8weeks
72practice hours
8chapters
21references
LEARN / PRACTICE / REFLECT / REPEAT
Build leadership through practice
Work on one real improvement project across eight weeks. Learn, act, receive feedback, reflect and practice again. Use evidence to assess what changed and what still needs work.
Reason with evidence
Separate facts, assumptions and proposals. Verify original sources and explain why an AI suggestion was accepted or rejected.
Take responsibility
Consider fairness, permitted data and affected people. Define human reviewers, final decision owners and a way to challenge decisions.
The curriculum draws on leadership training, self leadership, deliberate practice, trust, communication, team development, organizational justice, network governance and learning transfer. NIST and UNESCO provide governance guidance. Learning activities and assessment criteria are FranchiseX design proposals.
EIGHT CHAPTERS
From leading yourself to developing others
This page provides an English overview. The complete chapter text, W1–W8 worksheets and P1–P8 prompts linked below are in Thai.
CHAPTER 01
Self leadership
Choose an observable leadership behavior, plan deliberate practice, seek feedback and keep evidence of change.
Read full chapter · Thai →
CHAPTER 02
Trust & relationships
Understand managerial roles, build trust and coordinate stakeholders through clear agreements and follow-up.
Read full chapter · Thai →
CHAPTER 03
Communication
Listen, confirm understanding, choose suitable channels and clarify who will do what and by when.
Read full chapter · Thai →
CHAPTER 04
Teams & conflict
Develop team agreements, encourage people to speak up and address disagreements about work respectfully.
Read full chapter · Thai →
CHAPTER 05
AI literacy & verification
Write task-specific AI instructions, verify claims against original sources and measure quality as well as review effort.
Read full chapter · Thai →
CHAPTER 06
Ethical decisions
Compare alternatives with evidence, define accountability and consider fairness and impacts on people.
Read full chapter · Thai →
CHAPTER 07
Network leadership
Design fair collaboration, document transferable processes and grow networks alongside responsibility.
Read full chapter · Thai →
CHAPTER 08
Change & successors
Test changes, compare baseline and follow-up evidence, coach successors and review transfer at 30, 60 and 90 days.
Read full chapter · Thai →All chapter illustrations are generated with AI to communicate learning concepts.
COURSE STRUCTURE
Eight weeks, 72 hours
Each week includes six hours of instruction and workshops plus three hours of workplace practice: 48 taught hours and 24 practice hours in total. Breaks are separate. AI practice is included within those hours.
Designed for entrepreneurs, managers, team leads, network coordinators and community leaders. The proposed cohort is 15–25 learners, working in groups of four or five. Learners should bring a suitable work challenge, basic digital skills and a willingness to receive feedback. Fictional data may be used when real work data cannot be shared.
Each chapter corresponds to one week. Outputs include a leadership practice plan, stakeholder map, communication brief, team agreement, AI verification log, decision record, process handover guide and final improvement project with a 90-day follow-up plan.
Full weekly timetable and learning outcomes · Thai →ASSESSMENT
Assess work and learning evidence
25%Worksheets and practice
20%Practical scenarios
40%Improvement project
15%Individual reflection
Proposed pilot completion criteria: at least 70/100 points, attendance for at least 40 of 48 taught hours, evidence of 24 workplace practice hours, and a satisfactory review of data use and project accountability. Instructors make the final assessment. Material weaknesses require revision and reassessment.
The project assessment covers the problem and baseline, people and coordination, AI use and verification, trial results, and knowledge transfer. Follow-up at 30, 60 and 90 days examines use in practice.
TEXTBOOK & PRACTICE MATERIALS
Complete Thai textbook
The 45-page textbook includes all eight chapters, eight worksheets, eight prompts, assessment criteria and 21 references. This English page is an overview; the downloadable files are in Thai.
Course dates, delivery arrangements and fees have not yet been set.
Ask FranchiseX about course delivery ↗RESEARCH & THEORY
21 original sources
Theory offers explanatory frameworks; empirical studies report findings in their studied settings. NIST and UNESCO documents provide governance guidance. Check context, methods and limitations before applying findings.
- R1
Kirkpatrick, S. A., & Locke, E. A. (1991). Leadership: Do traits matter? Academy of Management Executive, 5(2), 48-60.
Open original source ↗ - R2
Mintzberg, H. (1971). Managerial work: Analysis from observation. Management Science, 18(2), B97-B110.
Open original source ↗ - R3
Tuckman, B. W. (1965). Developmental sequence in small groups. Psychological Bulletin, 63(6), 384-399.
Open original source ↗ - R4
Autio, C., Schwartz, R., Dunietz, J., Jain, S., Stanley, M., Tabassi, E., Hall, P., & Roberts, K. (2024). Artificial intelligence risk management framework: Generative artificial intelligence profile. NIST AI 600-1. National Institute of Standards and Technology.
Open original source ↗ - R5
UNESCO. (2021). Recommendation on the ethics of artificial intelligence. Adopted 23 November 2021.
Open original source ↗ - R6
National Institute of Standards and Technology. (2023). Artificial intelligence risk management framework AI RMF 1.0. NIST AI 100-1.
Open original source ↗ - R7
Lacerenza, C. N., Reyes, D. L., Marlow, S. L., Joseph, D. L., & Salas, E. (2017). Leadership training design, delivery, and implementation: A meta-analysis. Journal of Applied Psychology, 102(12), 1686-1718.
Open original source ↗ - R8
Ericsson, K. A., Krampe, R. T., & Tesch-Römer, C. (1993). The role of deliberate practice in the acquisition of expert performance. Psychological Review, 100(3), 363-406.
Open original source ↗ - R9
Manz, C. C. (1986). Self-leadership: Toward an expanded theory of self-influence processes in organizations. Academy of Management Review, 11(3), 585-600.
Open original source ↗ - R10
Mayer, R. C., Davis, J. H., & Schoorman, F. D. (1995). An integrative model of organizational trust. Academy of Management Review, 20(3), 709-734.
Open original source ↗ - R11
Edmondson, A. (1999). Psychological safety and learning behavior in work teams. Administrative Science Quarterly, 44(2), 350-383.
Open original source ↗ - R12
Daft, R. L., & Lengel, R. H. (1986). Organizational information requirements, media richness and structural design. Management Science, 32(5), 554-571.
Open original source ↗ - R13
Kluger, A. N., & DeNisi, A. (1996). The effects of feedback interventions on performance: A historical review, a meta-analysis, and a preliminary feedback intervention theory. Psychological Bulletin, 119(2), 254-284.
Open original source ↗ - R14
Locke, E. A., & Latham, G. P. (2002). Building a practically useful theory of goal setting and task motivation: A 35-year odyssey. American Psychologist, 57(9), 705-717.
Open original source ↗ - R15
Simon, H. A. (1955). A behavioral model of rational choice. The Quarterly Journal of Economics, 69(1), 99-118.
Open original source ↗ - R16
Brynjolfsson, E., Li, D., & Raymond, L. (2025). Generative AI at work. The Quarterly Journal of Economics, 140(2), 889-942.
Open original source ↗ - R17
Vaccaro, M., Almaatouq, A., & Malone, T. (2024). When combinations of humans and AI are useful: A systematic review and meta-analysis. Nature Human Behaviour, 8, 2293-2303.
Open original source ↗ - R18
Colquitt, J. A. (2001). On the dimensionality of organizational justice: A construct validation of a measure. Journal of Applied Psychology, 86(3), 386-400.
Open original source ↗ - R19
Provan, K. G., & Kenis, P. (2008). Modes of network governance: Structure, management, and effectiveness. Journal of Public Administration Research and Theory, 18(2), 229-252.
Open original source ↗ - R20
Baldwin, T. T., & Ford, J. K. (1988). Transfer of training: A review and directions for future research. Personnel Psychology, 41(1), 63-105.
Open original source ↗ - R21
Weiner, B. J. (2009). A theory of organizational readiness for change. Implementation Science, 4, Article 67.
Open original source ↗