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The purpose of this study is to investigate the relationship between artificial intelligence (AI) and decision making in the development of AI-related capabilities. We investigate if and how AI-driven decision making has an impact on firm performance. We also investigate the role played by environmental dynamism in the development of AI capabilities and AI-driven decision making.

We surveyed 346 managers in the United States using established scales from the literature and leveraged p modelling to analyse the data.

Results indicate that AI-driven decision making is positively related to firm performance and that big data-powered AI positively influences AI-driven decision making. Moreover, there is a positive relationship between big data-powered AI and the development of AI capability within a firm. It is also found that the control variables of firm size and age do not significantly affect firm performance. Finally, environmental dynamism does not have a positive and significant moderating effect on the path connecting big data-powered AI and AI-driven decision making, while it exerts a positive moderating effect on the development of AI capability to strengthen AI-driven decision making.

These findings extend the resource-based view by highlighting the capabilities developed within the firm to manage big data-powered AI. This research also provides theoretically grounded guidance to managers wanting to align their AI-driven decision making with superior firm performance.

Sustainability issues are crucial in today’s competitive environment. The integration of technology plays a vital role in the attainment of sustainability objectives. The study aims to investigate the relationship between green intellectual capital (IC), green information systems (IS), green management initiatives (GMI) and green technology adoption in light of natural resource-orchestration theory (ROT). Moreover, digital technology adoption mediates between green IC, green IS, GMI and sustainable performance. Finally, digital transformation strategy is used as a moderator between green technology adoption and sustainable performance.

A sample of 484 managers from automobile manufacturing companies was used in this study to evaluate the proposed relationships using the Structural Equation Modeling (SEM) methodology.

Findings reveal that green IC, green IS and GMI significantly influence green technology adoption. Besides, green technology adoption plays a crucial role in improving sustainable performance. Moreover, green technology adoption significantly mediates between green IC, green IS, GMI and sustainable performance. Finally, a digital transformation strategy significantly strengthens the relationship between green technology adoption and sustainable performance.

The organizations need green technology adoption to address environmental concerns, respond to consumer demand, achieve cost savings and comply with government regulations. Besides, in decision-making, organizations must focus on green IC, green IS, GMI, green technology adoption and digital transformation strategy to boost sustainable performance.

The originality of this study lies in its use of the natural ROT as a framework to examine the impact of multiple green resources on green technology adoption, leading to sustainable performance. Digital transformation strategy is used as a moderator between green technology adoption and sustainable performance. This study provides a comprehensive and integrated perspective on the subject with empirical evidence and relevant insights, contributing to the advancement of the field.

This study aims to investigate the perspective of corporate philanthropy during the coronavirus disease 2019 (COVID-19) in China for firms with various levels of corporate social responsibility (CSR). Specifically, the study appraises the impact of the COVID-19 pandemic on the stock returns and sustainable development of Chinese-listed companies and determines the likelihood of paying donations vis-à-vis firm reputation.

The study used data from 117 Chinese-listed firms engaged in philanthropy during the COVID-19 pandemic. The authors also utilized the stock returns and cash donation data, and owing to the cross-sectional data and continuous nature of dependent variables, they employed the ordinary least squares regression to test the research hypotheses.

The results show that irresponsible actions have a positive relationship with donations. The study particularly reveals that irresponsible firms have significant negative abnormal returns during the first wave of the COVID-19 pandemic.

To the best of our knowledge, this is the first empirical study to explore the perspective of corporate philanthropy during the COVID-19 pandemic for companies with different CSR levels. This study contributes to the empirical research on CSR and provides insights for managerial-cum-financial decisions to encourage managers of irresponsible firms to pursue philanthropic behaviors after crisis events.

Although studies have analyzed individual factors and their impact on marketing strategies and organizational performance, little is known about the owner-manager’s decision-making style. In the marketing literature of micro, small and medium enterprises (SMEs), little attention has been paid to the decision-maker. This study aims to gauge the impact of the manager's decision-making styles (rational, intuitive, dependent, avoidant and spontaneous) on marketing strategy creativity, on its implementation effectiveness and, consequently, on organizational performance.

This study uses a quantitative and descriptive approach. The data collection technique was through a survey with structured questionnaires in an online format. The data were collected from Brazilian micro, small and medium enterprises (SMEs) in the commerce and service sectors. The nonprobabilistic sampling included 206 valid responses. The data were analyzed using the technique of structural equation modeling (SEM) through the partial least squares method (PLS).

Among the main results, it was observed that rational, dependent and avoidant styles influence the creativity and implementation effectiveness of marketing strategies, and that these two factors positively impact organizational performance. In addition, it was found that part of the effect of rational, dependent and avoidant styles on performance occurs through the creativity and implementation effectiveness of the marketing strategy. However, the effect of the intuitive style and spontaneous style was not significant.

For owner-managers, the main implication is that they need to be rational, carefully analyzing the information and options available, ask for support when necessary for their team or partners and avoid procrastinating decisions. This can aid the development of more creative and effective implementations of their marketing strategies, which consequently, may contribute to better performance results.

The main contribution of this study was to add a new approach (decision-making styles) to the SME marketing literature. Moreover, this study integrates organizational (focused on marketing) and behavioral (focused on the manager's decision-making style) perspectives as factors that improve organizational performance.

The purpose of this study is to explicate the relationship between knowledge-based dynamic capacities (KBDC) and innovation-based performance (INPF) in information technology (IT) firms in India by examining the mediating impact of absorptive capacity (ABCP). The paper aims to determine whether and how the ABCP of the firms is recognized as the essential facilitator of INPF.

A survey of 511 respondents from Indian IT employees at the upper and middle management levels was undertaken. In this study, the partial least squares (PLS) technique explored the causal links between constructs with the use of the software application SMART-PLS 3.0.

The outcomes of this study proved the existence of a statistically significant relationship between the ABCP and INPF of information technology firms. Furthermore, ABCP's influence as a mediator between KBDC and INPF is significant. Therefore, findings imply that ABCP mediates the relationship between KBDC and INPF, however, only to some extent.

With the dynamism of the global market, the research has made significant gains in illustrating the criticality of ABCP for strengthening its KBDC in a much-needed Indian context. Therefore, following the recommendations and findings of this study, practitioners should concentrate on strengthening both ABCP and KBDCs to improve their INPF. To do this, managers must proactively organize their resources, procedures, and structure to promote knowledge absorption and dissemination, fostering innovation.

It is a ground-breaking study that proposes that the ABCP plays a crucial role in enhancing the INPF of the firms. The software industry will likely benefit from this study by understanding ABCP's potential impact on its INPF and designing knowledge management methods accordingly.

The chapter seeks to reflect on the dynamics of the reconstruction of family farming and peasant agriculture in agrarian reform settlements (“assentamentos”) in Brazil, exploring the limits and potential of government food purchases from family farming, particularly the Food Acquisition Program (Programa de Aquisição de Alimentos – PAA), in the creation of alternative paths of rural development. The work analyzes the different strategies through which farmers and their organizations mobilize public policy instruments and market connections, expanding their room for maneuver and agency capacity. Research was conducted in the Baixo Sul Territory of the state of Bahia, focusing the heterogeneous web of social organizations involved in the implementation of the Food Acquisition Program in this setting.

The aim of this paper is to examine a model that combines barriers, drivers, government responses, recovery expectations, expected future changes in performance and the extent of digitalisation as a moderator in SMEs.

This study uses exploratory causal methodologies. The study employs a quantitative methodology based on utilising an electronic questionnaire to gather the opinions of home workers and entrepreneurs in Jordan. The cross-sectional data collection approach was conducted in a single time frame, and a total of 1,179 valid questionnaires were analysed using Smart PLS along with SPSS.

The findings demonstrate that the barriers lower the expectations of recovering performance, whilst the drivers and government responses raise the expectations of both performance recovery and change in performance. Concerning digitalisation, this study discovered that firms going digital had a significant positive direct impact on expectations of performance change. This paper also found that expectations of performance change are significantly positively impacted by the interaction between drivers and digitalisation. However, the moderating influence of digitalisation on the positive impact of government responses on expectations of performance change was not verified.

The study's conclusions led to the formulation of several policy recommendations aimed at easing the burden on SMEs.

This study adds something new to the body of knowledge on SMEs by investigating the effects of barriers, drivers and government responses on expectations of performance recovery and the expected future change in performance moderated by digitalisation.

This study aims to examine the role of the dimensions of entrepreneurial orientation (EO) under turbulent market conditions and reveal the role of an entrepreneur's perception of a crisis in shaping the impact of EO on firm performance.

This study uses partial least squares structural equation modeling (PLS-SEM), multiple linear regression (MLR) and fuzzy-set qualitative comparative analysis (fsQCA). The study sample was comprised of 117 one- and two-star hotels that were operating in Poland.

The results showed that proactiveness and risk-taking significantly affected firm performance. Furthermore, the results revealed that an entrepreneur's perception of a crisis moderated the impact of risk-taking and proactiveness on firm performance. In particular, the findings suggested that, in firms where the crisis strongly influenced their operations, performance was affected by proactiveness, while in those firms where the crisis influenced their operations to a low or moderate degree, performance was affected by risk-taking. Furthermore, fsQCA unveiled the role of innovativeness, which (along with risk-taking) is a sufficient condition that leads to firm performance.

Two characteristics make this study original: first, it investigates EO under turbulent market conditions, and second, it analyzes the role of an entrepreneur's perception of crisis consequences for business operations. The study contributes to the literature on entrepreneurship and crisis management with findings on the different roles of EO dimensions under crisis conditions and an observation about the moderating role of an entrepreneur's perception of the impact of a crisis on operational management and how this perception differentiates the impact of risk-taking and proactiveness on firm performance.

The pre-eminence of innovation and technological transfer in promoting agricultural productivity and competitiveness in developing countries is widely acknowledged. However, the disparate streams of literature on productivity and competitiveness have explored innovation and technology transfer as independent predictors. Consequently, the mechanisms through which innovation and technology transfers jointly affect productivity and competitiveness of small, medium and micro enterprises (SMMEs) in emerging economies remain under-explored in literature. The present study sought to examine the relationships among innovation, technology transfer, productivity and competitiveness of small-scale agricultural businesses (SSABs) in selected regions in South Africa and Zimbabwe, neighbouring countries which have been plagued by food insecurity in recent years.

A total of 400 questionnaires were distributed to SSABs owners based in Free State and Mashonaland provinces of South Africa and Zimbabwe, respectively. In total, 268 usable questionnaires (67%) were returned for analysis. Partial least squares structural equation modelling (PLS-SEM) and Process macro (based on SPSS) techniques were used to analyse data.

The results supported direct significant paths between innovation and technology transfer; technology transfer and productivity; and productivity and competitiveness. Furthermore, the results suggested that technology transfer and productivity consecutively fully mediate the relationship between innovation and competitiveness.

The use of a survey could not provide sufficient explanations as to why the variable examined related the way they did.

The study provides useful insights into the significance of considering the dimensions and methods of innovation and technology transfer in agricultural business activities and processes to improve productivity and competitiveness of SSABs.

The study provides some insights into how innovation and technology transfer could be employed by small scale agricultural businesses as critical mechanisms for heightening productivity and competitiveness of these firms to guarantee food security and employment creation for emerging economies.

To the researchers' knowledge, this is one of the pioneer studies to examine the impact of both innovation and technology transfer on productivity and competitiveness of SSABs in two countries in Southern Africa. The study also constitutes a significant contribution to examining serial mediation of technology transfer and productivity of innovation and competitiveness.

The measurement of regional competitiveness is becoming essential for policymakers to address territorial disparities, while considering the issue of correlations among indicators. Therefore, the purpose of this paper is to measure regional competitiveness using the Technique for Order Preference by Similarity to the Ideal Solution (TOPSIS) by considering different distance measures and two levels of analysis to provide a comparative and comprehensive measurement of regional competitiveness in Europe.

The authors apply TOPSIS based on three different distance measures (the Manhattan, the Euclidean and the Mahalanobis distance measures) to the regions of the EU Regional Competitiveness Index (RCI) 2019, which is taken as the frame of reference.

The authors replicate the RCI by using TOPSIS with a less preferred choice of distance measure, indicating TOPSIS as a valuable method for policymakers in the analysis of regional competitiveness. The authors argue in favour of the Mahalanobis distance measure as the best of the three, as it considers correlations among macro-economic indicators.

This study aims to make three contributions. Firstly, by replicating the RCI by means of TOPSIS with a less preferred choice of distance measure, the paper provides a benchmark for future research on regional competitiveness. Secondly, by suggesting the use of TOPSIS with the use of the Mahalanobis distance measure, the authors show how to measure regional competitiveness by taking into account correlations among pillars. Thirdly, the authors argue in favour of considering clusters of regions when measuring regional competitiveness.