Vertaisarvioitu alkuperäisartikkeli tai data-artikkeli tieteellisessä aikakauslehdessä (A1)

Microfoundations of collaborative networks: The impact of social capital formation and learning on investment risk assessment




Julkaisun tekijät: Waymond Rodgers, William Y. Degbey, Thomas J. Housel, Ahmad Arslan

Kustantaja: Elsevier

Julkaisuvuosi: 2020

Journal: Technological Forecasting and Social Change

Volyymi: 161

DOI: http://dx.doi.org/10.1016/j.techfore.2020.120295

Verkko-osoite: https://doi.org/10.1016/j.techfore.2020.120295

Rinnakkaistallenteen osoite: https://research.utu.fi/converis/portal/detail/Publication/48944672


Tiivistelmä

Both
traditional financial and intangible asset (IA) performance measures aid in the
design of micromanagement organizational systems. We shed light on the
microfoundational processes of collaborative networks and their impact on
investment risk assessment by exploring IA performance measures in response to
decomposing macro-level constructs. The IA measures focus on the exploration of
individual human capital and their actions and interactions that influence
investment risk assessments, which is critical for long-term prosperity.
Additionally, human capital herein includes social factors such as social
capital, which research has demonstrated can be developed from intellectual
capital, and vice versa. Findings from an experiment with 40 professional
investors (resulting in 160 independent observations) suggested that belonging
to a company’s collaborative networks—where they would gain access to IA
performance information—led them to adjust their investment risk assessments
downward or upward in response to material weakness or strength disclosures
pertaining to IA performance. Additionally, a laboratory experiment revealed
that 121 novice investors who learned how to interpret and use their social
networks to gain access to IA performance information also led them to adjust
their investment risk assessments in response to material IA information
deficiencies in target companies. The results showed IA knowledge can be
learned and transferred to impact social change.


Last updated on 2022-07-04 at 17:58