Generative-AI and sustainable innovation among artisanal firms in the extractive industry: does evolutionary sense-making and pro-environmental behavior matter? DOI
Stewart Selase Hevi,

Gladys Nkrumah,

Esther Asiedu

et al.

Technological Sustainability, Journal Year: 2025, Volume and Issue: unknown

Published: May 1, 2025

Purpose This study explores the moderated mediation roles of evolutionary sense-making and pro-environmental behaviors between generative-AI adoption sustainable innovation among owner/managers extractive-based artisanal firms in Ghana. Design/methodology/approach A stratified sampling method was used to select 391 The relied on regression test statistics measure conjectured paths. Findings Through deployment hierarchical regression, found be a positive predictor firms. Further, moderate mediated link innovation. Research limitations/implications cross-sectional design explore hypothesized paths mapped out address research objectives. Although is effective helping assess thoughts respondents, it restricted methodologically reflecting fluctuations overtime. suggests future investigations undertaken through longitudinal surveys. Originality/value one first use Industry 5.0 applications extend empirical literature development within extractive industry sub-Saharan Africa.

Language: Английский

Leveraging design thinking to foster Knowledge-Based dynamic capabilities DOI
Vaneet Kaur

Journal of Business Research, Journal Year: 2025, Volume and Issue: 189, P. 115177 - 115177

Published: Jan. 2, 2025

Language: Английский

Citations

1
Generative-AI and sustainable innovation among artisanal firms in the extractive industry: does evolutionary sense-making and pro-environmental behavior matter? DOI
Stewart Selase Hevi,

Gladys Nkrumah,

Esther Asiedu

et al.

Technological Sustainability, Journal Year: 2025, Volume and Issue: unknown

Published: May 1, 2025

Purpose This study explores the moderated mediation roles of evolutionary sense-making and pro-environmental behaviors between generative-AI adoption sustainable innovation among owner/managers extractive-based artisanal firms in Ghana. Design/methodology/approach A stratified sampling method was used to select 391 The relied on regression test statistics measure conjectured paths. Findings Through deployment hierarchical regression, found be a positive predictor firms. Further, moderate mediated link innovation. Research limitations/implications cross-sectional design explore hypothesized paths mapped out address research objectives. Although is effective helping assess thoughts respondents, it restricted methodologically reflecting fluctuations overtime. suggests future investigations undertaken through longitudinal surveys. Originality/value one first use Industry 5.0 applications extend empirical literature development within extractive industry sub-Saharan Africa.

Language: Английский

Citations

0