Evidence map›Paper›PMID 34778821›Full record

ArticleSN business & economics2021

The impact of unmanned stores' business models on sustainability.

Navodya Denuwara, Juha Maijala, Marko Hakovirta

Abstract read
In one paragraph

Article in SN business & economics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Navodya DenuwaraDepartment of Forest Biomaterials, North Carolina State University, 2820 Faucette Drive, Raleigh, NC 27695-8005 USA.
Juha MaijalaStora Enso Oyj, Helsinki, Finland.
Marko HakovirtaDepartment of Forest Biomaterials, North Carolina State University, 2820 Faucette Drive, Raleigh, NC 27695-8005 USA.ORCID 0000-0002-4398-1529

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Digitalization and big data are continuing to revolutionize industries impacting the global economy, environment, and society as a whole. The retail industry is not an exception and is facing a paradigm shift in many aspects of its operations. One of the latest innovations in this industry is the development of unmanned stores concepts and business models. These novel business models are mostly used in the grocery stores segment with an impetus to eliminate the need for check-out lines and to create more efficiencies in the whole process of the shopping experience. Because of the disruptive nature of this business model, it is important to research the effects of its expansion into society. In this article, we are making a critical analysis of the sustainability impact of unmanned stores and assess the strategic direction and growth strategies of major corporations and organizations within the value chain. We used an unambiguous and straightforward questionnaire as the research tool and the results show grocery as the current target for expansion, however, future expectations from business developers lean heavily towards coffee and books. Interestingly, the investment logic for expected benefits from the participants seemed to be biased towards efficiencies and the value chain benefits seemed to mostly come from the use of big data and data analytics. The most important use of the data was associated with the dynamic pricing models. Additionally, our study shows interesting insight for example to the growth segments, the role of sustainability, and barriers of entry.

Indexed as

Business modelE-commerceInternet of thingsRetailRFIDSustainabilityUnmanned store

Identifiers

PMID34778821
PMCPMC8459138

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.