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The purpose of this paper is to empirically investigate the impact of organizational intellectual capital (IC) components on absorptive capacity (ACAP) such as potential absorptive capacity (PACAP) and realized absorptive capacity (RACAP). Furthermore, it attempts to investigate the mechanism through which PACAP and RACAP jointly influence innovation strategies (i.e.) exploitative and exploratory innovations.

This is an explanatory research using a deductive approach. This study uses survey data from 184 manufacturing export firms analyzed through partial least squares structural equation modelling.

The results have found that the cognitive and social capital of a firm positively affects PACAP and RACAP, whereas relational capital has a significant effect on RACAP. Moreover, the study reveals that both potential and realized absorptive capacities considerably lead to the development of organizational exploitative and exploratory innovation strategies.

The research focused on two driving factors, i.e. IC components and ACAP dimensions, and overlooked how each component of IC and ACAP influences ambidextrous innovative strategy.

Providing managers with insights about the critical role of developing IC to facilitate the transfer and exchange of crucial absorptive capacity necessary for ambidextrous innovative strategy.

This study makes a significant contribution to the existing literature by highlighting the importance of ACAP and provides useful insights for firms in developing economies to improve their exploitative and exploratory innovation capability. This study likewise reveals the significance of the four dimensions of IC, which can facilitate bringing in knowledge from developing economies.

The Kingdom of Saudi Arabia’s dedicated pursuit of technological modernization positions it as a forefront leader in integrating advanced systems, aligning smoothly with the ambitious goals outlined in Vision 2030. The purpose of this study is to investigate the influence of integrating enterprise resource planning (ERP) and business intelligence (BI) systems on decision-making processes within the industrial sector of Saudi Arabia.

Using a quantitative research design, this study uses a bootstrapping approach and partial least squares structural equation modeling to meticulously analyze data collected from Saudi industrial firms.

The research reveals favorable relationships among infrastructure readiness, data quality, security and access control, user capabilities, user training and the integration of ERP and BI. These positive associations collectively affirm the overarching positive impact of ERP and BI integration on decision-making processes within the industrial sector.

The study underscores the strategic imperative of aligning organizational practices with the identified characteristics to fully unlock the potential benefits of ERP and BI integration in the Saudi Arabian industrial sector.

This study contributes significantly to the existing literature by delving into the integration of ERP and BI in the industrial sector and its nuanced impact on decision-making processes, specifically in the context of the Kingdom of Saudi Arabia – an area that has not been extensively studied.

The study aims to test the framework that proposes the role of resources (intellectual capital) in mobilizing entrepreneurial orientation that influences the competitiveness improvement of micro-small-medium enterprises (MSMEs) under the lens of resource orchestration theory.

In this study, 347 respondents from the MSMEs participated through a structured questionnaire. For the data analysis purpose, the structural equation modeling technique was employed using SmartPLS software.

The results suggest human, structural, and relational capital are significant antecedents of entrepreneurial orientation, which leads to competitiveness improvement. The findings also indicate the mediation role of entrepreneurial orientation between intellectual capital and competitiveness improvement.

The current study presumably will supplement the promising research effort to progress the research orchestration theory and also could be a strategic guideline for the managers/owners of the MSMEs.

This study is possibly a novel attempt to divulge the association between intellectual capital (tripartite model) and competitiveness improvement of firms under the lens of resource orchestration theory.

The objective of this study aims to investigate the manner in which Human Resource Practices (HRP), leadership, and intellectual capital contribute to organisational agility within the healthcare sector, and to assess how this agility influences overall organisational performance.

This research was undertaken within healthcare organisations situated in the United Arab Emirates (UAE). The study sample comprised of 275 participants, and the distribution of the sample across various classifications closely mirrored that of the larger population. To assess the formulated hypotheses, the research utilized Partial Least Squares Structural Equation Modeling (PLS-SEM) software.

Results confirmed the proposed framework and uncovered the significance of HRP, leadership and intellectual capital on organisational agility and organisational performance in a dynamic environment like hospitals.

This study demonstrates originality by investigating hospital responsiveness within a highly dynamic context necessitating agility from both managerial and non-technical perspectives. Additionally, it explores the impact of HRP, leadership, and intellectual capital on organisational agility, along with its repercussions for overall organisational performance.

The ever-evolving landscape of financial technology (Fintech) has revolutionised payment methods and raised questions about what drives user behaviour in adopting these innovative solutions. This study, using narrative transportation theory as an underpinning theory, aims to investigate into the dynamics of green user behaviour in adopting Fintech payments.

This study used a deductive approach, and with data obtained from 635 respondents through the purposive sampling technique, partial least squares structural equation modelling was employed to yield significant insights.

The study found a positive association between green brand positioning and product differentiation. However, it unexpectedly didn't impact user attitudes towards Fintech payments. Green brand image and perceived performance positively influenced product differentiation. Perceived product differentiation fully mediated the association between green brand positioning and user attitudes. The study introduced fear of missing out's (FOMO) moderating role, enriching eco-conscious marketing insights and user behaviour understanding.

This study reveals crucial implications for marketers, policymakers and user experience (UX) designers operating within the Fintech industry. It emphasises green brand positioning's impact on product differentiation, user attitudes and its mediating role. It advocates for sustainability integration, innovation, strategic messaging and user-centric improvements to optimise user perceptions and competitiveness in the evolving Fintech landscape. The study's cross-sectional design may limit the ability to establish causal relationships over time and overlook temporal changes in green Fintech adoption dynamics; thus, longitudinal studies are warranted to better understand the evolving nature of user attitudes and behaviours towards green Fintech payments.

This study adds novelty to the existing body of literature by introducing the dimension of innovation appeal to green brand positioning and employing narrative transportation theory in the Fintech realm. The findings also add novelty by highlighting the moderating impact of fear of missing out in predicting the association between green brand positioning and product differentiation in the realm of green Fintech and green use behaviour.

This study explores the mechanism by which intellectual capital (IC) [i.e. human capital (HC), structural capital (SC) and relational capital (RC)] influences small and medium-sized enterprise (SME) efficiency in the presence of business model innovation (BMI) as a mediator.

Data collection is conducted through a survey completed by 319 owners and top managers of SMEs operating in the manufacturing sector in three cities in Pakistan. A simple random sampling method is used. A structural equation modeling artificial neural network (SEM-ANN)-based approach is applied to evaluate the role of IC predictors. The mediation results are authenticated using PROCESS.

The results indicate that HC, SC and RC significantly influence SME efficiency and BMI. Furthermore, BMI fully mediates the relationship between human capital and SME efficiency, while partially mediating the relationship between structural capital and SME efficiency, as well as between SC and SME efficiency.

This study pioneers research into the link between IC and SME efficiency. It contributes to the literature by defining IC as an antecedent of SME efficiency. It further contributes to the literature by defining IC as an antecedent and BMI as an intervening variable of SME efficiency.