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This study aims to: identify organizational and environmental factors affecting strategic decision‐making speed; examine the relationship between those factors and innovation performance; and clarify the relationship between strategic decision‐making speed and innovation performance.

A survey was conducted on 73 large‐scale firms operating in the manufacturing industry in Turkey, in May 2006 and December 2006.

The research findings related to the linkage between participation and strategic decision‐making speed indicate that extensive participation accelerates the pace of decision making.

This survey was conducted on CEOs and top managers of large‐scale manufacturing firms operating in Turkey. Cultural differences may become evident from those findings. Also, results might be different if only small and medium‐size firms, or firms in different industries were used.

This survey is one of the first to examine the strategic decision speed and innovation performance relationship, revealing the positive effect of strategic decision speed on innovation performance. It is the first one to be conducted in an Eastern country like Turkey, filling the gap in the literature.

First, this study expands knowledge on the strategic decision process dimension decision-making speed by analyzing decision-making speed and two possible antecedents in a purchasing context. Second, it takes an additional step toward clarifying the relationship between strategic and lateral integration. Specifically, the purpose of this paper is to analyze the potential mediating effect of lateral purchasing integration on the relationship between strategic purchasing integration and purchasing decision-making speed.

This research analyzes survey data of 152 firms from Austria, Germany, and Switzerland using covariance-based structural equation modeling.

The results of the structural equation model provide strong support for the hypothesized relationships. Strategic purchasing integration drives lateral purchasing integration, which in turn positively influences purchasing decision-making speed.

This study focusses solely on internal types of integration. A logical next step would be to further enrich the model by including external dimensions, such as supplier or customer integration.

This study should help managers gain a better understanding of the relationship between strategic and lateral purchasing integration, highlighting their positive impact on decision-making speed. Decision-making speed is particularly important for companies operating in volatile markets and time-constrained business environments.

This study offers new insights into the theoretical and empirical connection between intra-organizational purchasing integration, unpacked as strategic purchasing integration and lateral purchasing integration, and purchasing decision-making speed. Furthermore, it offers insights into decision-making speed in a purchasing context.

In recent years, rapid changes in the economic situation and high levels of competition have increased the need for innovation in order to gain success. In such circumstances, organizational strategists are considered as critical in determining the success or failure of organizations. Using innovation in various aspects of organizational operations is the most important factor to achieve sustainable competitive advantages in industry. As a result, analyzing the effective factors involved in promoting the efficiency of innovative activities in the organization and ways of achieving it are of utmost importance. Thus, this paper examines the relationship between communication and innovation performance with respect to the intermediary role of strategic decision-making process speed.

The present study has used quantitative methodology and questionnaire to collect data from 450 managers and members who are involved in the decision-making process in 150 companies operating in the food-industry sector. Data analysis was done by using structural equation modeling and AMOS software.

The results of the data analysis suggest that communication and strategic decision-making speed possess a significant positive impact on innovation performance. Also, strategic decision-making speed has sufficiently played the intermediary role between communication and innovation performance.

This survey specifies the effects of communication on the success of making fast strategic decision and innovation performance which aid Iranian food companies to tackle one of the managerial challenges: postponing strategic decisions due to lack of efficient communication to get information. In addition, to the best of the authors' knowledge, this essay is a first in Iran.

The purpose of this paper is to explore the relationship between top management team (TMT) internal social capital and strategic decision-making speed, and further explore role of TMT behavioral integration in their relationship. It reveals how TMT internal social capital impacts strategic decision-making speed.

On the basis of the social capital theory and upper echelons theory, at first, a model about TMT internal social capital and strategic decision-making speed is proposed by exploratory case study. Then, the data obtained via questionnaire from 67 TMTs by software SPSS 19.0 and AMOS 17.0 are analyzed, and the theoretical hypotheses as mentioned above are verified.

The empirical study found that different dimensions of TMT internal social capital have significant positive impact on TMT behavioral integrity; TMT behavioral integrity has significant positive impact on strategic decision-making speed; and TMT behavioral integrity as an intermediary variable played a brokering role in the relationship between TMT internal social capital and strategic decision-making speed.

The study enriches the empirical test on the relationship between TMT internal social capital and decision speed, thereby helping the authors further understand how to improve the speed of strategic decision making in TMT.

The aim of this paper is to explore the relationship between leadership style, top management teams' (TMTs') behavioral integration, and strategic decision‐making speed. It reveals how leadership impacts on team progress and strategic decision‐making speed.

The sample was collected from more than ten provinces/cities in China. Factor analysis and structural equation model (SEM) were used to conduct the data.

The empirical study found that leadership style has a direct positive impact on the speed of strategic decision making, and an indirect positive impact on the speed of strategic decision making through the team behavior integration. The results of SEM show both leadership style and team behavior integration have a significant impact on strategic decision‐making speed. It demonstrates that transformational leadership and transactional leadership have both direct and indirect impact on the speed of strategic decisions. Moreover, transformational leadership has a greater impact than transactional leadership on team behavior integration and strategic decision‐making speed.

The study enriches the empirical test on the relationship between leadership, team and decision speed, therefore helping us further understand how to improve the speed of strategic decision‐making.

The purpose of this research is to explore the effects of the diversity of experience and different personalities of top management team members on mediating processes such as agenda‐setting, the generating of strategic alternatives, and the speed of strategic decision making. Previous research has studied the effects of top management team characteristics on strategic decision‐making and performance by analyzing team demographics such as age and tenure – with ambiguous results.

In a multi‐case study approach, 46 members of eight top management teams were interviewed and surveyed.

The study suggests that the ambiguity of research results can be decreased by: introducing more deep‐level measures; and further differentiating the mediating processes. The results indicate that diversity of experience affects agenda‐setting and the generating of alternatives but – unexpectedly – does not appear to affect the speed of decision making. Personality factors such as flexibility, achievement motivation, networking abilities, and action orientation seem to have a clearer impact on decision speed.

This study suggests ways to build successful teams by differentiating between the effects of experiences and personalities of team members. Furthermore, it indicates that teams might be able to compensate for different strengths and weaknesses within the team, and stresses the importance of transparent strategic objectives and leadership.

This study extends existing research by proposing ways to reduce the ambiguity of recent research results regarding the effects of management teams on strategic decision making. It is based on a broad empirical research and offers theoretical and managerial implications.

This study investigates the profound impact of artificial intelligence (AI) capabilities on decision-making processes and organizational performance, addressing a crucial gap in the literature by exploring the mediating role of decision-making speed and quality.

Drawing upon resource-based theory and prior research, this study constructs a comprehensive model and hypotheses to illuminate the influence of AI capabilities within organizations on decision-making speed, decision quality, and, ultimately, organizational performance. A dataset comprising 230 responses from diverse organizations forms the basis of the analysis, with the study employing a partial least squares structural equation model (PLS-SEM) for robust data examination.

The results demonstrate the pivotal role of AI capabilities in shaping organizational decision-making processes and performance. AI capability significantly and positively affects decision-making speed, decision quality, and overall organizational performance. Notably, decision-making speed is a critical factor contributing significantly to enhanced organizational performance. The study further uncovered partial mediation effects, suggesting that decision-making processes partially mediate the relationship between AI capabilities and organizational performance through decision-making speed.

This study contributes to the existing body of literature by providing empirical evidence of the multifaceted impact of AI capabilities on organizational decision-making and performance. Elucidating the mediating role of decision-making processes advances our understanding of the complex mechanisms through which AI capabilities drive organizational success.

This study aims to apply the resource-based and upper-echelons perspectives to integrate concepts of strategic decision-making (i.e. speed and quality) and transformational leadership behavior (i.e. inspirational motivation, intellectual stimulation, individualized consideration and idealized influence) to examine how these resources are influenced by the characteristics of top managers (i.e. demographic backgrounds and entrepreneurial orientation) to affect firm performance.

Using evidence from a sample of 111 top managers from different firms in Taiwan, this research examined the relationships among the selected variables using two versions of the designed questionnaire: one for the leader, and the other for the followers. Confirmatory factor analysis and structural equation modeling were used to analyze the data.

The findings reveal the following: the entrepreneurial orientation of top managers does affect their leadership style, which affects firm performance; if top managers display traits of transformational leadership, then firm performance will be higher, likely because transformational leaders tend to make high-quality decisions and strategic decision-making speed was influenced by the experience of top managers and the inspirational motivation provided by transformational leadership.

This study makes three specific contributions: improving the limitations of demographics-based top-management studies by investigating both demographics and psychological characteristics; advancing research on the relationships between entrepreneurial orientation and performance by integrating transformational leadership behaviors and examining the proposed research model from a resource-based perspective.

Whether an organization’s political behaviour is positively related to its performance has been a long-standing question. Most studies elaborating on this issue, although rich in detail, primarily have been limited to case studies, apart from a niche set of studies in international business. This study aims to explore this question through a survey study of managers and executives from around the world, across a range of industries.

The study explores the link between politics, the ability of a firm to speedily reach the market and its growth rate through a study of 382 executives from across the world. It also investigates alternative explanations of slow speed to market due to power centralization, decision-making layers and conflict.

The results show that politics – the observable but often covert actions through which executives influence internal decisions – has a direct negative effect on a firm’s ability to reach the market first and on its growth rate. That is, not only is politics time-consuming but it may also have a detrimental impact on the selection of the best growth opportunities.

Politics does have a negative impact on growth; it slows down a firm’s growth and its ability to reach the market. This study eliminates possible alternative explanations of a slow pace to market: slower companies are not so because they have too many decision-making layers but because they use consultative processes in resource-allocation decisions, or because of conflict.

The purpose of this paper is to provide a theoretical framework of how knowledge management (KM) systems can facilitate the incorporation of big data into strategic decisions. Advanced analytics are becoming increasingly critical in making strategic decisions in any organization from the private to public sectors and from for-profit companies to not-for-profit organizations. Despite the growing importance of capturing, sharing and implementing people’s knowledge in organizations, it is still unclear how big data and the need for advanced analytics can inform and, if necessary, reform the design and implementation of KM systems.

To address this gap, a combined approach has been applied. The KM and data analysis systems implemented by companies were analyzed, and the analysis was complemented by a review of the extant literature.

Four types of data-based decisions and a set of ground rules are identified toward enabling KM systems to handle big data and advanced analytics.

The paper proposes a practical framework that takes into account the diverse combinations of data-based decisions. Suggestions are provided about how KM systems can be reformed to facilitate the incorporation of big data and advanced analytics into organizations’ strategic decision-making.

This is the first typology of data-based decision-making considering advanced analytics.