Absorptive capacity, technological innovation, and product life cycle: a system dynamics model.

Bo Zou, Feng Guo, Jinyu Guo

Abstract read

In one paragraph

Article in SpringerPlus, 2016. 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

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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.

Do R&D intensity and capacity utilisation matter for SMEs' innovations within the CEE region? Testing moderating roles of different ownership structures.PloS one · 2024
Article

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.

Bo ZouSchool of Management, Harbin Institute of Technology, 92 West Dazhi Street, Nan Gang District, Harbin, 150001 China.

Feng GuoSchool of Management, Harbin Institute of Technology, 92 West Dazhi Street, Nan Gang District, Harbin, 150001 China.

Jinyu GuoSchool of Management, Harbin Institute of Technology, 92 West Dazhi Street, Nan Gang District, Harbin, 150001 China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWhile past research has recognized the importance of the dynamic nature of absorptive capacity, there is limited knowledge on how to generate a fair and comprehensive analytical framework. Based on interviews with 24 Chinese firms, this study develops a system-dynamics model that incorporates an important feedback loop among absorptive capacity, technological innovation, and product life cycle (PLC).

resultsThe simulation results reveal that (1) PLC affects the dynamic process of absorptive capacity; (2) the absorptive capacity of a firm peaks in the growth stage of PLC, and (3) the market demand at different PLC stages is the main driving force in firms' technological innovations. This study also explores a sensitivity simulation using the variables of (1) time spent in founding an external knowledge network, (2) research and development period, and (3) knowledge diversity. The sensitivity simulation results show that the changes of these three variables have a greater impact on absorptive capacity and technological innovation during growth and maturity stages than in the introduction and declining stages of PLC.

conclusionsWe provide suggestions on how firms can adjust management policies to improve their absorptive capacity and technological innovation performance during different PLC stages.

Indexed as

Absorptive capacityProduct life cycleSystem dynamicsTechnological innovation

Identifiers

PMID27757366

DOI10.1186/s40064-016-3328-5

PMCPMC5037108

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