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The purpose of this paper is to focus on the risk decision making of entrepreneurial team, deconstruct the intermediate process mechanism of cognitive adaptability in promoting risk decision making and reveal the role of opportunity identification and entrepreneurial efficacy in the decision-making process, which clarifies how cognitive adaptability affects decision-making speed and effect.

This study establishes a relationship model among entrepreneurial team’s cognitive adaptability, opportunity identification, entrepreneurial efficacy and risk decision making, and selects 316 entrepreneurial teams to empirically study the relationship among core variables using Bootstrap analysis and Johnson–Neyman technology.

Cognitive adaptability though has no direct impact on risk decision-making speed, whereas it directly affects risk decision-making effect; opportunity identification has a full mediating effect between cognitive adaptability and decision-making speed, and a partial mediating effect between cognitive adaptability and decision-making effect; entrepreneurial efficacy plays a moderating role between opportunity identification and decision-making speed, and a same role between opportunity identification and decision-making effect.

First, in setting the research model, the study does not take other moderators into consideration, which might be improved. Second, the study ignores the origin and formation of entrepreneurial team’s cognitive adaptability, the predisposing factors of which might be discussed in the future research.

The practical implication of this paper is to guide the entrepreneurial team to turn their focus on the impact of highly implicit cognitive adaptability on decision making, which might be divided into two aspects: the first is to enhance the cognitive adaptability of the entrepreneurial team, cultivate team members’ self-examination awareness and self-monitoring habits. The second is to strengthen team’s psychological capital and value the cultivation of entrepreneurial efficacy.

This paper breaks through the team process and structure perspectives, explores the driving mechanism of entrepreneurial team risk decision making from team cognition perspective, and deconstructs the logical framework of cognitive adaptability’s influence on risk decision making. This paper applies Johnson–Neyman technology to quantify the mediating effect entrepreneurial efficacy exerts on cognitive adaptability and decision-making speed, as well as on cognitive adaptability and decision-making effect.

Previous research features the international experience of managers in the decisions regarding internationalisation speed. However, the vitality of the role a chairperson plays in shaping the internationalisation decisions of small and medium-sized enterprises (SMEs) from emerging economies is intriguing. Moreover, the decision-making process and leadership context of SME internationalisation are not fully understood. Drawing upon the upper echelons decision-making theory and the cognitive perspectives of decision, this paper examines the impact of a chairperson's previous experience on the post-entry speed of internationalisation, highlighting the conditioning effects of leadership contingencies – the functional variety and power of the chairperson.

The study uses a panel data set of Chinese SMEs active from 2010 to 2019 to test the research hypotheses. A feasible generalised least-squares estimator was applied to test the hypotheses.

The results show that the international experience of a chairperson speeds up the depth and breadth of the post-entry speed of internationalisation. However, the strength of these relationships depends on the leadership context. The chairperson's functional variety alleviates the influence of international experience, whilst the power of the chairperson reinforces its impact.

The results show that the international experience of a chairperson speeds up the depth and breadth of the post-entry speed of internationalisation. However, the strength of these relationships depends on the leadership context. The chairperson's functional variety alleviates the influence of international experience, whilst the power of the chairperson reinforces its impact.

The purpose of this paper is to examine the relationships between CEO narcissism and strategic decision-making (SDM) processes (decision comprehensiveness and decision speed), and to explore the mediating role of top management team (TMT) members’ participation in decision making and the moderating role of TMT power distance.

Data were collected from a multisource, time-lagged survey of 103 CEOs and their corresponding TMT members in China. Structural equation modeling was used to test the hypothesized relationships.

The results indicated that CEO narcissism was negatively related to decision comprehensiveness and positively related to decision speed. These relationships were mediated by TMT members’ participation in decision making, especially when TMT power distance was high.

The results show the potential negative effects of CEOs’ narcissistic personality and suggest ways to attenuate it by increasing TMT participation and decreasing TMT power distance.

This study is an initial attempt to empirically examine how and under what conditions CEOs’ narcissism is a barrier to more comprehensive and more deliberate (slower) SDM.

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 paper aims to focus on the value of marketing dashboards, a key area of interest for scholars and practitioners. This study examines two critical outcomes of marketing dashboards: marketing strategy implementation speed and market information management capability. Additionally, the research analyzes the impact of the firm’s internal structure on the relationship between marketing dashboards and the outcomes.

A conceptual model grounded in the knowledge-based view of the firm is tested. The research uses survey data collected from marketing professionals employed within business-to-business firms. Data from the key informants are analyzed using structural equation modeling.

The results demonstrate that marketing dashboards are significantly related to marketing strategy implementation speed and market information management capability. Centralization exhibits a negative moderating effect, and formalization exhibits a positive moderating effect on the relationship between marketing dashboards and marketing strategy implementation speed. Marketing strategy implementation speed and market information management capability are related to market performance.

Through the examination of main and moderating relationships, this paper demonstrates that marketing strategy implementation speed and market information management capability are key integration mechanisms that leverage the marketing dashboard resources.

The purpose of this study is to determine how individual competencies, team collaboration and clear assignment of tasks and roles predict the decision speed of temporary task forces employed to handle the coronavirus disease 2019 (COVID-19) crisis.

This study analyzes COVID-19 task forces and bases of previous research on the performance of temporary teams and human and social capital literature. Linear multilevel regression is used with data from a factorial survey, covering six different continents, various industries and leadership levels from chief executive officers (CEOs) to specialist task force members.

The study reveals that all analyzed predictors (individual competencies, team collaboration and assignment of tasks and roles) are positively associated with the task force decision speed, with the individual competencies standing out in importance.

Team member selection is likely to be one of the first tasks necessary when such a temporary task force is created. Additionally, competent individuals might be successful even when not embedded in clear structures and even when not working in their own specialist roles.

The sudden pandemic outbreak of COVID-19 disrupted governments, corporations and individual people alike. As handling a pandemic is new for most involved people, and many such task forces are shown to be manned by personnel not formally trained in crisis management, this study's results represent important contributions to team performance, decision-making and crisis management literature in general. Furthermore, avenues for further research into the comparative analysis of predictors are revealed.

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.

The purpose of this paper is to explore the nature of a competitive action and its impact on the response of rivals in the digital market. Specifically, this paper introduces the concept of action complexity and action variation to delineate the configuration characteristics of each digital competitive action and empirically investigates how these action characteristics further affect rivals’ response speed.

This paper uses structural content analysis methods to code competitive actions based on the news of Chinese online travel agencies (OTAs) from 2010 to 2015. The cox proportional hazards regression models are employed to test the hypotheses.

The results indicate that action complexity of the focal firm is negatively associated with rivals’ response speed as it constrains their interpretation (awareness), motivation and capability to respond, while action variation of the focal firm is positively associated with rivals’ response speed as it enhances their attention (awareness) and motivation to respond. Furthermore, the negative relationship between action complexity and response speed is weaker when action variation is high.

Further to advancing competitive dynamics theory, this paper proposes an action-configuration perspective to explore the particular content and quality of each digital competitive action. The discussion of competitive rivalry between OTAs also enriches the application of competitive dynamics in the digital market. Meanwhile, this paper further clarifies the decision-making process of rivalry drawing on the awareness–motivation–capability (AMC) framework.

The purpose of this study is to analyze the short-term development pattern and long-term development trend of the digital supply chain.

This study uses the combination of short-term game and long-term evolutionary game theory.

Findings of this study suggest that irrational decisions can make the evolutionary path of the digital supply chain complex and unpredictable.

This study proposes an evolutionary game model for the digital supply chain that can provide good guidance for the digitalization process of enterprises.

This paper aims to address a pollution-routing problem with one general period of congestion (PRP-1GPC), where the start and finish times of this period can be set freely.

In this paper, three sets of decision variables are optimized, namely, travel speeds before and after congestion and departure times on given routes, aiming to minimize total cost including green-house gas emissions, fuel consumption and driver wages. A two-phase algorithm is introduced to solve this problem. First, an adaptive large neighborhood search heuristic is used where new removal and insertion operators are developed. Second, an analysis of optimal speed before congestion is presented, and a tailored speed-and-departure-time optimization algorithm considering congestion is proposed by obtaining the best node to be served first over the congested period.

The results show that the newly developed operator of congested service-time insertion with noise is generally used more than other insertion operators. Besides, compared to the baseline methods, the proposed algorithm equipped with the new operators provides better solutions in a short time both in PRP-1GPC instances and time-dependent pollution-routing problem instances.

This paper considers a more general situation of the pollution-routing problem that allows drivers to depart before the congestion. The PRP-1GPC is better solved by the proposed algorithm, which adds operators specifically designed from the new perspective of the traveling distance, traveling time and service time during the congestion period.