Globalization motivates organizations to adopt modern technologies in order to improve their efficiency. These technologies may impact not only exploration innovation (EXO) but also exploitative innovation (EXI) capabilities, while enhancing organizations’ international performance (IP). Previous studies have mainly focused on examining the impact of technology on sustainability and firm performance. However, these studies have not investigated how adopting these technologies can impact a firm’s innovation capabilities and IP. Bridging this gap, the present study investigates the impact of Industry 4.0 adoption (IA) on EXO, EXI and IP. It also explores the moderating impact of organizational globalization motive (OGM). The data were collected from 217 respondents through a structured questionnaire and analysed using PLS-SEM 3.0 software. The results revealed a positive and significant relationship between IA and EXO, EXI and IP. Additionally, a considerable moderating impact of OGMs has been identified on EXO and EXI. The results will help practitioners in comprehending the significance of IA for their organizations’ IP, especially from a globalization point of view. It also theoretically contributes by advancing the resource-based view and innovation ambidexterity theories in the domain of Industry 4.0.
Vinod Kumar, J. Cúg, Vandana et al.· FIIB Business Review· 0 citations
Artificial intelligence (AI)-enabled environmental management information systems (EMISs) are designed to collect environmental data, facilitate informed interpretation of environmental issues and enable effective reporting and management of environmental information. As their relevance grows, more scholarly attention should be paid to the role of AI-enabled EMIS in marketing contexts, their adoption and their effectiveness in enhancing firms’ performance in meeting Sustainable Development Goals (SDGs). Against this backdrop, this study aims to examine the antecedents and outcomes of AI-enabled EMIS adoption, with particular emphasis on digitalization, sustainability performance and alignment with SDGs. Furthermore, this study explores leadership support as moderator and firm-level sustainability performance as mediator in these relationships.
Drawing on the resource-based view (RBV), the dynamic capability view (DCV) and stakeholder theory, this study proposes an integrative conceptual framework. The proposed model was subsequently empirically tested using structural equation modelling based on survey data collected from respondents in India.
This study shows that the SDGs, firm capability and stakeholders’ willingness positively influence AI-enabled EMIS adoption within the firm. Also, this study shows that government policies and regulations on adopting an AI-enabled EMIS in firms are weak. This study also finds that leadership support has a considerable moderating effect on the relationship between AI-enabled EMIS adoption and the firm’s sustainability performance.
The SDGs were established by the United Nations General Assembly to achieve a better, more sustainable future for all. There is growing interest among researchers, academicians and practitioners in understanding the antecedents of AI-enabled EMIS adoption and its consequences for sustainability, SDGs and the firm’s overall performance.
R. S. Chatterjee, I. Hameed, K. Michalikova et al.· Competitiveness Review: an i...· 0 citations