Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 221

The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.

Beyond What and Why: Understanding Organizational Evolution Towards Sustainable Enterprise Models

Zollo, Maurizio, Cennamo, Carmelo, Neumann, Kerstin·2013·Organization & Environment

Abstract

In this article, we strive to contribute to the ongoing shift in the sustainability debate from its historical focus on definitional (“what”) and motivational (“why”) questions to the understanding of change and learning process questions (“how”) connected to the efforts some firms are making to evolve toward “sustainable enterprise” models. A conceptual framework to study these evolutionary processes is thus developed, and the complexities and research design trade-offs facing the related empirical inquiry highlighted. The main message advanced herein is that shifting the focus of analysis to the level of the initiatives undertaken to change the various elements in the enterprise model could prove the best way to frame the conceptual and empirical challenge before us. In a way, to make progress on the “what,” research should focus on the “how.”

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1177/1086026613496433

Cites

7 of 7 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 7 references

Cited by

See all 221

Metadata

Authors
Zollo, M., Cennamo, C., & Neumann, K.
Venue
Organization & Environment
Published
2013-07-26
Volume
26
Issue
3
Pages
241-259
ISSN
  • 1086-0266 (ISSN-L)
  • 1552-7417
OpenAlex
W2142130572
Cited by
221
References
7
FWCI
34.79
Type
journal article
Language
en
Open access
closed

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Beyond What and Why: Understanding Organizational Evolution Towards Sustainable Enterprise Models. https://app.cochat.ai/papers/10.1177/1086026613496433
The paper
Zollo, M., Cennamo, C., & Neumann, K. (2013). Beyond What and Why: Understanding Organizational Evolution Towards Sustainable Enterprise Models. Organization & Environment. https://doi.org/10.1177/1086026613496433

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.