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Dissolving industry boundaries, coupled with an increasing need for collaboration and mutual adaptation, necessitates the adoption of diverse innovation concepts and flexible management practices. While organizations are striving to be agile and receptive, prioritizing flexibility over meticulous planning, the strategies required to achieve these outcomes remain underdeveloped.

Between 2019 and 2022, 100 peer-reviewed papers were reviewed to identify 68 agile practices, forming the basis for the classification. A conceptual-to-empirical approach led to the framework's development, involving 40 expert interviews and nine focus groups with participants from different countries from 2020 to 2023. These interactions validated the framework's dimensions and real-world applicability.

The study revealed that inter-organizational agility serves as a catalyst, effectively harmonizing open and frugal innovation to address market and customer constraints. This framework offers managers a valuable tool for navigating uncertainties and ambiguities and creating and capturing value within open innovation ecosystems that go beyond transient competitive advantages.

The case study suggests co-innovation and bricolage as novel managerial capabilities that foster innovation, mainly when supported by inter-organizational agility. It provides insights into distinguishing between various forms of agility through a multidimensional framework.

The study provided crucial insights into the necessity for agility in complex and uncertain environments. Through the integration of frugal and open innovation approaches in co-innovation, inter-organizational agility is presented as a framework for achieving both transient competitive advantage and sustainable innovation power.

The purpose of this study is to propose a precise and standardized strategy for numerically simulating vehicle aerodynamics.

Error sources in computational fluid dynamics were analyzed. Additionally, controllable experiential and discretization errors, which significantly influence the calculated results, are expounded upon. Considering the airflow mechanism around a vehicle, the computational efficiency and accuracy of each solution strategy were compared and analyzed through numerous computational cases. Finally, the most suitable numerical strategy, including the turbulence model, simplified vehicle model, calculation domain, boundary conditions, grids and discretization scheme, was identified. Two simplified vehicle models were introduced, and relevant wind tunnel tests were performed to validate the selected strategy.

Errors in vehicle computational aerodynamics mainly stem from the unreasonable simplification of the vehicle model, calculation domain, definite solution conditions, grid strategy and discretization schemes. Using the proposed standardized numerical strategy, the simulated steady and transient aerodynamic characteristics agreed well with the experimental results.

Building upon the modified Low-Reynolds Number k-e model and Scale Adaptive Simulation model, to the best of the authors’ knowledge, a precise and standardized numerical simulation strategy for vehicle aerodynamics is proposed for the first time, which can be integrated into vehicle research and design.

Despite that a transformational shift has occurred in many organisations towards data-driven management, many organisations struggle to harness and translate new technology, such as “big data” into a competitive advantage. This study aims to undertake an empirical investigation into the enabling factors which lead to the practice of formulating an effective data-led strategy (EDLS). Leveraging the theoretical lenses of the resource-based view, absorptive capacity and attention-focus view, a range of various factors are hypothesised to influence EDLS.

The study takes place in South Africa and is based on primary survey data focused on the Fin-tech industry sector where the need to formulate and implement an EDLS has become urgent considering the move to technology enabled banking solutions. Partial Least Squares Structural Equation Modelling (PLS-SEM) is used to test the hypotheses.

Results highlight that several factors are related to EDLS as significant predictors, which include the data platform, technical skills, knowledge management, transformation and focus-alignment. This latter factor has the largest influence on EDLS, which suggests that the alignment of focus across multiple firm divisions both vertically and horizontally significantly enables an EDLS.

Managers need to appreciate the intricacy of the range of factors involved in enabling an EDLS. Managers are advised to grow their organisational knowledge regarding which enablers offer the best pathway towards the development of a more robust framework when putting an EDLS into practice.

The article offers new insights into better understanding the relevant antecedents which enable the successful practice of an EDLS from an African emerging market perspective.

The purpose of this paper is to examine a recent comprehensive corporate real estate (CRE) alignment model which was derived from previous CRE alignment models. This study proposes several modifications and additions based on business and decision-making literature to increase the framework’s multidisciplinary strength and extend its implementation phase.

Literature from various fields is reviewed and “lessons” incorporated into the framework. The business literature review began with corporate strategy theories cited in CRE alignment theory and extended to critiques of those and more recent theories. Likewise, decision-making and implementation both began with material cited in CRE literature and “rippled” out to encompass pertinent material.

The model used provides a robust framework, and this study has identified several areas that would appear to improve that model from a theoretical and practical perspective. Areas of further research are identified that appear to offer opportunities to further develop the framework.

Historically, there has been a tendency for new CRE alignment models to be created rather than existing ones being developed further. Here, a framework derived from a meta-study of CRE alignment models is reviewed, and improvements are proposed to further develop CRE alignment theory and its application in practice through the addition of viewpoints from the business field and more focus on the implementation phase of the model.

The purpose of this study is to explore growth models based on “industry-based capabilities”, “resources-based capabilities” and “institution-based capabilities” in the context of the determinants of micro, small and medium enterprises’ (MSMEs) actors’ intention to grow.

This study involved 188 owners/managers of MSMEs. The analysis was conducted using partial least squares structural equation modelling. Moreover, the importance-performance map analysis package is used to complement the study findings.

This study uses the framework of the resource-based view (entrepreneurial knowledge), industrial-based view (industrial linkage) and institutional-based view (government support and access to finance) as proxies of the tripod-based view framework. The findings show that entrepreneurial knowledge (skills, competencies and functional), government support, access to finance and industrial linkage (vertical and horizontal) significantly encourage MSMEs’ owner/manager growth intention.

Firstly, this study suggests that MSMEs actors focus on developing entrepreneurial knowledge to boost the skills, competencies and functionalities needed to improve their business capabilities, directly affecting their growth intention. Secondly, this study indicates that the growth intention of MSME players, besides increasing internal capacity, must also be supported by the external environment, such as financial institutions, government and industrial linkage.

This study offers a tripod-based view as a framework for MSMEs’ actors’ intention to grow, where the constructs in the model used so far have not been explored comprehensively in the context of MSMEs. So, the built model brings more relevant factors to explain this topic from various perspectives.

The purpose of this study is to examine the impact of knowledge management dimensions (i.e. knowledge acquisition, knowledge dissemination and knowledge responsiveness) on green innovation. The study also seeks to determine whether these relationships are mediated by the environmental awareness in small and medium enterprises (SMEs) in the UAE.

Data were obtained from a sample of 194 SMEs (two informants from each firm that consist of 388 top managers) in Abu Dhabi, UAE. In this cross-sectional study, convenience random sampling was used. The positivism approach was adopted using a hypothetical statistical induction method. Validated measurement scales were used to measure the study constructs adopted from previous studies. Data were analysed using a quantitative approach with Smart partial least squares structural equation modelling (PLS-SEM) 3.0.

The results of the study indicated a positive and significant association between knowledge acquisition, knowledge dissemination and knowledge responsiveness with green innovation. Moreover, the data analysis confirmed that environmental awareness mediates the relationship between knowledge dissemination and green innovation. However, no mediation role of environmental awareness in the relationship between knowledge acquisition and knowledge responsiveness with green innovation was found.

Knowing how to manage knowledge effectively is considered to be one of the most important aspects of green innovations. Nonetheless, there was a dearth of literature highlighting the relevance of knowledge management for long-term organisational success. The results of this study present practical implications for SME professionals. Green innovation with the support of environmental awareness may help a firm understand and implement the importance of knowledge management into their administrative operations. They can subsequently become eco-innovative ecologically, economically and socially.

This is one of the very few studies that examine the effect of knowledge management dimensions (knowledge acquisition, knowledge dissemination and knowledge responsiveness) on green innovation in UAE SMEs.

The study aims to investigate how enterprise information systems strategies-enabled strategy-making (ISS-SM) influences organizational agility (OA) via the mediated role of IT-enabled dynamic capabilities (ITDC) under environmental dynamism (ED). The study also investigates natural country moderation associated with the business context of the countries where the respondents are located might influence these relationships.

The study aims to investigate how enterprise ISS-SM influences OA via the mediated role of ITDC under ED. The study also investigates natural country moderation associated with the business context of the countries where the respondents are located that might influence these relationships.

The results demonstrate that ISS-SM influences ITDC to gain OA independent of the ED level. Indian and Brazilian firms show no different effects in the relationship of the research model. However, post hoc analysis revealed that strong ISS-SM on OA is fully mediated by ITDC under higher ED with a substantial coefficient of determination, more prominent for Indian firms characterized by young-age and middle-size firms, agribusiness and government sectors.

The fundamental to enabling practice and praxis of the strategy-as-practice approach to OA gains mediated through ITDC in different business context conditions.

The research contributes to extending the literature on the enterprise information systems strategy and information technologies capabilities.

The purpose of this study is to examine the effect of perceived value of recommended product on consumer’s e-loyalty, based on the proposition of expectation confirmation theory. Vendors’ reputation is tested as the mediator in the perceived value of recommended product and e-loyalty relationship, whereas shopping enjoyment is predicted as the moderator that conditions the perceived value of recommended product and e-loyalty relationship through vendors reputation.

Data were collected via an online survey platform and through a QR code. Partial least squares analysis, confirmatory factor analysis and structural equation modeling were used to verify the research proposed model.

The findings revealed that the perceived value of recommended product had a significant positive effect on E-loyalty; in addition, the perceived value of the recommended product and e-loyalty link was partly explained by e-shopper’s confidence in vendor reputation. Therefore, the study established that the direct and indirect relationship between the perceived value of the recommended product and e-loyalty was sensitive and profound to shopping enjoyment.

This study has established that the perceived value of a recommended product can result in consumer loyalty. This has successively provided the e-shop manager and other stakeholders with novel perspectives about why it is necessary to understand consumers’ pre- and postacquisition behavior before recommending certain products to the consumer.

Employee improvisation is valuable in seizing opportunities, creating radically new ideas and dealing with unexpected events. It is increasingly important for new ventures in unpredictable environments. However, as an important organizational factor, the mechanism of leadership style on employee improvisation has not been fully explored. Against this background, the purpose of this study is to examine the impact of entrepreneurial leadership on employee improvisation. Specifically, drawing on cognitive-affective processing system framework and regulatory focus theory, the study investigates the dual mediating role of workplace spirituality and positive affect between entrepreneurial leadership and employee improvisation and the moderating role of promotion focus in such relationships.

Using time-lagged data from 327 leader–employee dyads from new ventures in China, the study tests all hypotheses using hierarchical multiple regression and bootstrapping analysis in IBM SPSS 26.0.

The results reveal that entrepreneurial leadership is positively related to employee improvisation, and this link is mediated by workplace spirituality and positive affect. Additionally, moderated path analysis indicates that promotion focus strengthens the direct effect of workplace spirituality and positive affect on employee improvisation and the indirect impact of entrepreneurial leadership on employee improvisation.

The findings also provide some practical suggestions for managers on how to promote employee improvisation. Managers can promote employee improvisation by cultivating their entrepreneurial leadership. The results also constitute valuable information for new ventures in terms of suggesting steps that can be taken to promote employee improvisation in the workplace, particularly in regard to employees' cognition and affect. In addition, personality traits such as promotion focus should also be considered in recruitment.

The study makes an original contribution by showcasing the complex cognitive and affective mechanism of entrepreneurial leadership on employee improvisation. Through the dual mediating role of workplace spirituality and positive affect, the study expands the research results on employee improvisation and enriches the application of cognitive-affective processing system framework in the entrepreneurship field. The study also provides deeper insights into promotion focus research by exploring the boundary conditions of employee improvisation.

While steady-state analysis is useful, it does not consider the inherent transient characteristics of repairable systems' behavior, especially in systems that have relatively short life spans, or when their transient behavior is of special concern such as the motivating example used in this paper, military systems. Therefore, a maintenance policy that considers both transient and steady-state availability and aims to achieve the best trade-off between high steady-state availability and rapid stabilization is essential.

This paper studies the transient behavior of system availability under the Kijima Type II virtual age model. While such systems achieve steady-state availability, and it has been proved that deploying preventive maintenance (PM) can significantly improve its steady-state availability, this improvement often comes at the price of longer and increased fluctuating transient behavior, which affects overall system performance. The authors present a methodology that identifies the optimal PM policy that achieves the best trade-off between high steady-state availability and rapid stabilization based on cost-availability analysis.

When the proposed simulation-based optimization and cost analysis methodology is applied to the motivating example, it produces an optimal PM policy that achieves an availability–variability balance between transient and steady-state system behaviors. The optimal PM policy produces a notably lower availability coefficient of variation (by 11.5%), while at the same time suffering a negligible limiting availability loss of only 0.3%. The new optimal PM policy also provides cost savings of about 5% in total maintenance cost. The performed sensitivity analysis shows that the system's optimal maintenance cost is sensitive to the repair time, the shape parameter of the Weibull distribution and the downtime cost, but is robust with respect to changes in the remaining parameters.

Most of the current maintenance models emphasize the steady-state behavior of availability and neglect its transient behavior. For some systems, using steady-state availability as the sole metric for performance is not adequate, especially in systems that have relatively short life spans or when their transient behavior affects the overall performance. However, little work has been done on the transient analysis of such systems. In this paper, the authors aim to fill this gap by emphasizing such systems and applications where transient behavior is of critical importance to efficiently optimize system performance. The authors use military systems as a motivating example.