flowchart LR S[Socialisation<br/>Tacit → Tacit] --> E[Externalisation<br/>Tacit → Explicit] E --> C[Combination<br/>Explicit → Explicit] C --> I[Internalisation<br/>Explicit → Tacit] I -. Back to .-> S style S fill:#FFF3E0,stroke:#E65100 style E fill:#E6F4EA,stroke:#137333 style C fill:#E3F2FD,stroke:#1565C0 style I fill:#F3E5F5,stroke:#6A1B9A
13 HR Accounting, Audit and Knowledge Management
This chapter brings together three measurement-and-information practices that close the HRD loop. HR Accounting asks whether the firm’s investment in people can be put on a balance sheet. HR Audit asks whether the firm’s HR practices are working well, and how they compare with the best. Knowledge Management asks whether what people know in the firm flows to the people who need it.
13.1 Human Resource Accounting (HRA)
13.1.1 What is HRA?
Human Resource Accounting is the process of identifying, measuring and reporting information about human resources to interested parties. The American Accounting Association’s 1973 committee gave the standard definition; Eric Flamholtz is the field’s most prolific contemporary authority (flamholtz1999?). The starting point is a paradox of conventional accounting: a firm’s most valuable asset — its people — does not appear on the balance sheet, while its less valuable physical assets do.
| Conventional accounting treats … | … as |
|---|---|
| Hiring, training, on-boarding spend | Period expenses, written off in the year incurred |
| The capability built up in employees | Not recognised as an asset |
| Employee turnover | A cost in the year, not a destruction of asset value |
| Outstanding management team | A footnote, if mentioned at all |
HRA tries to repair this gap. The Indian implementations at BHEL (1973–74), SAIL, NTPC, ONGC, Infosys (annual reports), and at TCS are the textbook references.
13.1.2 Objectives of HRA
- Provide cost-value information on people for management decisions.
- Support strategic planning — acquisitions, expansion, restructuring.
- Improve external reporting — investors, lenders, employees.
- Encourage long-term thinking — investments in people show up as assets, not just expenses.
- Provide a yardstick for the effectiveness of HR practices.
13.1.3 Methods of HRA
Methods divide into two broad families: cost-based approaches (treat people as the cost incurred to acquire and develop them) and value-based approaches (treat people as the present value of the future services they will render).
| Family | Method | Lead author | What it does |
|---|---|---|---|
| Cost-based | Historical cost | Brummet, Flamholtz, Pyle | Capitalises actual recruitment, training, induction costs; amortised over expected tenure |
| Replacement cost | Flamholtz | What it would cost to replace each employee at today’s prices | |
| Opportunity cost | Hekimian & Jones | Value derived from competitive bidding for scarce employees among internal divisions | |
| Standard cost | Schwan | Standard rates per category multiplied by head-count | |
| Value-based | Capitalised future earnings | Lev & Schwartz, 1971 (lev1971?) | Discounted present value of an employee’s expected future compensation until retirement |
| Adjusted discounted future wages | Roger Hermanson, 1964 (hermanson1964?) | Future wages discounted, adjusted by an “efficiency ratio” of firm vs industry | |
| Stochastic Rewards Valuation Model | Flamholtz | Probability-weighted present value of future services along career paths | |
| Likert–Bowers model | Rensis Likert | Causal–intervening–end-result variables in a system of human-organisation valuation | |
| Jaggi & Lau model | Jaggi & Lau | Group-based valuation using Markov transition matrices |
13.1.4 The Lev & Schwartz Model — the Indian Workhorse
Most Indian firms that publish HRA disclosures use the Lev & Schwartz (1971) capitalisation-of-future-earnings approach. The model treats the value of an employee at time t as the present value of her expected future compensation until retirement.
For an employee aged τ:
V_τ = Σ (from t=τ to T) [ I(t) / (1 + r)^(t − τ) ]
where I(t) is the expected annual compensation in year t, T is retirement age and r is the discount rate. The firm’s human-capital value is the sum of V_τ across all employees.
The model’s strength is its simplicity; its limit is that it values the cost of the employee rather than her productivity — two employees with the same compensation but different output get the same valuation.
13.1.5 Limitations of HRA
- Measurement difficulties — what discount rate? What expected tenure? What efficiency ratio?
- Treats employees as objects — there is real ethical discomfort in capitalising people on a balance sheet.
- Lack of standards — no equivalent of GAAP / Ind-AS for HRA, so firms’ numbers are not comparable.
- Not yet recognised in statutory accounting — HRA in India remains voluntary disclosure.
- Cost of system — preparing and maintaining HRA records adds administrative load.
Despite the limits, HRA is now part of the broader integrated reporting movement (the IR framework’s six capitals include human capital) and of intellectual-capital reporting in knowledge-intensive firms.
13.2 HR Audit
13.2.1 What is HR Audit?
An HR audit is a comprehensive, systematic, formal review of an organisation’s HR policies, practices and procedures — to assess whether HR is doing the right things, doing them well, and supporting the firm’s strategy. The audit is to HR what the financial audit is to finance: a periodic, independent assessment.
13.2.2 Objectives of HR Audit
- Verify compliance with labour laws and statutory obligations.
- Assess the effectiveness of HR practices against stated objectives.
- Benchmark against best practice in the industry.
- Identify gaps and risks — exposure to litigation, attrition, capability deficits.
- Improve HR’s contribution to strategy.
- Build credibility of the HR function with the business.
13.2.3 The HR Audit Process
| # | Step | What it produces |
|---|---|---|
| 1 | Define scope and objectives | Clarity on what is to be audited and why |
| 2 | Develop audit plan and instruments | Checklists, questionnaires, interview guides |
| 3 | Gather data | Document review, interviews, surveys, observation |
| 4 | Analyse data | Findings against the audit criteria |
| 5 | Report findings and recommendations | A written audit report with action items |
| 6 | Follow up and re-audit | Implementation of recommendations; periodic re-assessment |
13.2.4 Approaches to HR Audit
| Approach | What it does | Best for |
|---|---|---|
| Comparative | Benchmark against another organisation considered a model | Multi-unit firms; industry benchmarking |
| Outside-authority | Apply standards set by an outside expert or consultancy | First-time audits; small HR teams |
| Statistical | Quantitative metrics — turnover, absenteeism, time-to-fill, cost-per-hire | Data-rich firms |
| Compliance | Verify adherence to laws and policies | Regulated industries; statutory checks |
| MBO-based | Audit against goals set in the firm’s HR plan | Mature firms with stated HR strategy |
13.2.5 Areas Covered in an HR Audit
A complete HR audit covers the full HR cycle — strategy, manpower planning, recruitment, selection, induction, training, performance management, compensation, employee relations, welfare, statutory compliance, HRIS / data, exit and analytics.
13.2.6 Benefits and Limitations
| Benefits | Limitations |
|---|---|
| Surfaces hidden weaknesses and risks | Time and cost intensive |
| Builds credibility of HR with management | Quality depends on auditor expertise |
| Identifies improvement opportunities | Resistance from line managers and HR staff |
| Supports continuous improvement | Risk of becoming a mechanical compliance exercise |
| Helps benchmark against best practice | Findings can be politically sensitive |
13.3 Knowledge Management (KM)
13.3.1 What is Knowledge Management?
Knowledge Management is the systematic process of capturing, distributing, applying and creating knowledge in the organisation. Davenport and Prusak define it more pragmatically as the leverage of collective wisdom for greater responsiveness, innovation, competence and efficiency (davenport1998?).
The underlying observation is simple. In knowledge-intensive work — software, consulting, finance, R&D, education — a firm’s competitive advantage rests less on what it owns than on what it knows. And what it knows lives mostly in the heads of its people.
13.3.2 Data, Information, Knowledge, Wisdom
| Level | What it is | Example |
|---|---|---|
| Data | Raw facts | “27”, “2026-05-07”, “Mumbai” |
| Information | Data with context | “Sales in Mumbai on 7 May 2026 were ₹27 crore” |
| Knowledge | Information with experience and meaning | “Mumbai sales spike on Mondays after a Bollywood release; staff accordingly” |
| Wisdom | Knowledge with judgement | “Even with the spike, do not over-staff; the trade-off with cost is X” |
KM, in practice, focuses on the upper levels — converting information into knowledge that can be shared and applied.
13.3.3 Tacit vs Explicit Knowledge
The distinction, originally drawn by Michael Polanyi in 1966 (“we know more than we can tell”) and developed by Nonaka and Takeuchi, is fundamental (polanyi1966?; nonaka1995?).
| Dimension | Tacit | Explicit |
|---|---|---|
| Form | Hard to articulate; rooted in experience and context | Codifiable; rules, manuals, formulas |
| Transfer | Through socialisation, observation, mentoring | Through documents, databases, systems |
| Examples | A surgeon’s “feel” for tissue; a mechanic’s diagnosis from sound; a sales manager’s sense of customer | A user manual; a spreadsheet template; a training video |
| Storage | In people | In documents, code, data |
| Loss when employee leaves | High | Low |
The HR significance of the distinction is direct: tacit knowledge is what walks out of the door when an employee resigns; explicit knowledge stays.
13.3.4 Nonaka’s SECI Model
Ikujiro Nonaka and Hirotaka Takeuchi’s knowledge creation model maps the conversion of tacit and explicit knowledge through four modes — Socialisation, Externalisation, Combination, Internalisation — that together form a continuous spiral (nonaka1995?).
| Mode | From → To | What it does | Example |
|---|---|---|---|
| Socialisation | Tacit → Tacit | Sharing experience through observation, imitation, practice | Apprentice learns a craft from a master |
| Externalisation | Tacit → Explicit | Articulating tacit know-how into concepts, models, manuals | Veteran writes a how-to playbook for new joiners |
| Combination | Explicit → Explicit | Synthesising existing explicit knowledge into new explicit knowledge | Combining several reports into a new strategy document |
| Internalisation | Explicit → Tacit | Embodying explicit knowledge into routines through practice | A team uses a manual repeatedly until they no longer need to consult it |
The spiral never ends — knowledge moves continually around the four modes, deepening and widening as it goes. Effective KM design ensures that all four modes happen routinely.
13.3.5 Knowledge Management Process
| # | Step | Activity |
|---|---|---|
| 1 | Knowledge identification | What does the firm know? Where is it? |
| 2 | Knowledge acquisition | Hiring, learning, partnerships, R&D |
| 3 | Knowledge sharing and transfer | Communities of practice, intranets, mentoring, brown-bag sessions |
| 4 | Knowledge application | Using the knowledge in decisions and work |
| 5 | Knowledge creation and innovation | New products, new processes, new ways of organising |
13.3.6 KM Tools and Practices
| Tool | What it does |
|---|---|
| Document management systems | Store and retrieve explicit content |
| Intranets and wikis | Distribute and edit collaborative content |
| Communities of practice (CoP) | Voluntary groups around a shared interest, formalised by Wenger |
| Yellow pages / expertise locator | Find the person who knows |
| Lessons learned / after-action reviews | Capture learning from completed projects |
| Mentoring and storytelling | Transfer tacit knowledge person-to-person |
| Knowledge cafés and unconferences | Cross-pollinate ideas across silos |
| AI-augmented search and chatbots | Surface relevant knowledge on demand |
13.3.7 HR’s Role in Knowledge Management
The HR function is the natural owner of the people dimension of KM — the part dealing with motivation, culture, and capability to share. Specifically:
- Recruitment and selection for knowledge-orientation; assess collaboration as a hiring criterion.
- Reward systems that recognise sharing, not just hoarding; team-level incentives.
- Training that builds learning skills, not only job skills.
- Performance management that includes “knowledge contribution” as an explicit dimension.
- Career architecture that allows specialists to advance without becoming managers.
- Culture work — psychological safety, openness, experimentation (the OCTAPACE link from chapter 12).
- Exit management that captures departing employees’ tacit knowledge.
13.3.8 The Learning Organisation
Peter Senge’s The Fifth Discipline (1990) described a learning organisation as one “where people continually expand their capacity to create the results they truly desire, where new and expansive patterns of thinking are nurtured, where collective aspiration is set free, and where people are continually learning how to learn together” (senge1990?).
Senge identified five disciplines such an organisation cultivates:
| Discipline | What it cultivates |
|---|---|
| Personal mastery | Individuals’ commitment to lifelong learning |
| Mental models | Surfacing assumptions; testing how we see the world |
| Shared vision | A genuinely shared picture of the desired future |
| Team learning | Dialogue and skilful discussion in teams |
| Systems thinking — the fifth discipline | Seeing whole patterns; the integrating discipline |
A firm cannot be a learning organisation without strong KM, and KM cannot stick without a learning culture.
13.4 Practice Questions
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| Method | Author | ||
|---|---|---|---|
| (i) | Adjusted discounted future wages | (a) | Hekimian & Jones |
| (ii) | Stochastic Rewards Valuation Model | (b) | Roger Hermanson |
| (iii) | Opportunity-cost approach | (c) | Eric Flamholtz |
| (iv) | Capitalisation of future earnings | (d) | Lev & Schwartz |
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- HRA puts people on the balance sheet. Indian pioneers: BHEL, SAIL, NTPC, ONGC, Infosys.
- Cost-based methods: historical (Brummet, Flamholtz, Pyle), replacement (Flamholtz), opportunity (Hekimian & Jones), standard (Schwan).
- Value-based methods: Lev & Schwartz (capitalised future earnings), Hermanson (adjusted discounted wages), Flamholtz (Stochastic Rewards), Likert–Bowers, Jaggi & Lau.
- HR audit = systematic review of HR practices. Six steps: scope → plan → gather → analyse → report → follow up.
- Five audit approaches: comparative, outside-authority, statistical, compliance, MBO-based.
- KM = capture, distribute, apply, create knowledge. Davenport & Prusak.
- DIKW: Data → Information → Knowledge → Wisdom.
- Polanyi distinguished tacit (“we know more than we can tell”) from explicit knowledge.
- Nonaka–Takeuchi SECI: Socialisation (T→T), Externalisation (T→E), Combination (E→E), Internalisation (E→T).
- KM tools: DMS, intranets, CoPs (Wenger), expertise locators, after-action reviews, mentoring, knowledge cafés, AI search.
- HR’s role in KM: hire for sharing, reward sharing, train learning skills, build psychological safety, capture exit knowledge.
- Senge’s five disciplines: personal mastery, mental models, shared vision, team learning, systems thinking.