BPM Context Framework

Vom Brocke, Zelt & Schmiedel (2016) framework specifying which contextual dimensions and characteristics are relevant for BPM. Presented as a morphological box (Table 1 of the original paper) consolidating factors derived from contingency theory, context-aware process design literature, and BPM success-factor research. Used as the context-dimension meta-model in the CAMAS Classification Framework (sources/2021-vombrocke-context-aware-bpm-camas, §2, Fig. 2).

Four dimensions, fourteen factors

Goal dimension

Focus — Exploitation (improvement, compliance) ↔ Exploration (innovation) (Benner & Tushman 2003).

Process dimension

Value contribution — core / management / support
Repetitiveness — repetitive ↔ non-repetitive
Knowledge-intensity — low / medium / high
Creativity — low / medium / high
Interdependence — low / medium / high
Variability — low / medium / high

Organization dimension

Scope — intra- ↔ inter-organizational
Industry — product / service / product-and-service
Size — start-up / SME / large
Culture — supportive / medium / non-supportive for BPM (Schmiedel et al. 2013, 2014)
Resources — low / medium / high organizational resources

Environment dimension

Competitiveness — low / medium / high
Uncertainty — low / medium / high (turbulence, dynamic capabilities — Helfat et al. 2009)

Note: the 2016 original uses a three-level ordinal scale. The 2021 CAMAS paper collapses mid-level ("medium") characteristics to a binary scale (Christenfeld 1995) to reduce rater subjectivity.

Theoretical grounding

Rooted in contingency theory (Donaldson 2001; Thompson 1967; Zeithaml et al. 1988): no single best way to organise; optimal management is contingent on external AND internal context. The framework's distinctive move is treating context as both external (environment, organization) and internal (process characteristics, BPM goals) — whereas earlier BPM literature treated context as only external.

Intended use (from 2016 paper §5)

Applied during the initial planning phase of a BPM project.
Each factor is evaluated individually; the resulting pattern across all 14 factors describes the overall context (a "morphological profile").
The pattern drives selection of management practices.
Contexts change over time (resources, competitiveness, culture shift) so BPM requires continuous context monitoring and adaptation.

Decision-tree-style guidance (three illustrative examples, Table 2)

The 2016 paper walks three hypothetical cases to show how factor patterns translate to method choices:

Example	Pattern (abbreviated)	Recommended approach
A — global support process standardization	Exploitation, support, repetitive, low-knowledge/creativity, large org, non-supportive culture, medium competition	Traditional BPM: process analysis, redesign, standardized data structures, ERP harmonization; heavy cultural-change investment
B — start-up telecom core-process reengineering	Exploration, core, non-repetitive, high knowledge-intensity & creativity, low interdependence, high variability, start-up, supportive culture, high competition	Design thinking, participative design, knowledge-management systems, customer-adoption KPIs, lightweight formalization
C — HR technology implementation in large IT corp	Exploration, support, repetitive, low-creativity, large org, supportive culture, high competition & uncertainty	Design thinking for design phase BUT efficiency-oriented execution; flexible roles/authorization concepts to absorb environmental uncertainty

Notable: examples A and C have near-identical process characteristics but diverge sharply on method choice because of goal (exploit vs. explore) and environment (stable vs. uncertain). This is the paper's clearest argument for why multiple dimensions must be considered jointly.

Empirical foundation

The 2016 paper is a viewpoint / conceptual article — the 14 factors are synthesised from adjacent empirical literatures (TQM, lean, organizational design, knowledge-intensive processes, cultural research) rather than empirically validated as a complete set for BPM. The authors explicitly call for validation studies, factor-relationship studies, longitudinal case studies, and measurement-tool development. First large-scale empirical use of the framework in BPM is the 2021 CAMAS study, which applied it to classify 103 BPM methods with Cohen's κ ≈ 0.66.

Known limitations (acknowledged by authors)

Factors are not independent: size → resources; industry → process/org characteristics — interdependencies unmodelled.
Factor list is not claimed complete — morphological box is illustrative.
Many factors are imported from adjacent fields; BPM-specific empirical validation pending.

Use in CAMAS

In CAMAS, each BPM method in the Method Base is classified against binary versions of these characteristics: applicable (a) / not applicable (na) / cannot assess (–). The vector of (a/na/–) values feeds the DCS (Degree of Context Specificity) and DA (Degree of Applicability) indicators.

concepts/context-aware-bpm — broader concept this framework operationalises.
concepts/bpm-lifecycle — orthogonal dimension in CAMAS.
entities/jan-vom-brocke, entities/theresa-schmiedel — authors.