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This research aims to evaluate the status of project management best practices in the road infrastructure sector of Ghana through the inquiry of project managers’ competency.

Based on a thorough literature review on competency and project management best practices, a criterion for measuring best practices based on the competencies was identified. Using closed-ended questionnaires as a survey instrument, data was collected and analyzed using a one-sample t-test, Kendall’s concordance coefficient and simple regression.

The key finding reveals that in achieving project management best practices for the Ghanaian road infrastructure projects, project managers should straighten and strengthen their capability in terms of skills, personal characteristics and knowledge as ranked. An appropriate blend of these characteristics would be a necessary requirement for project managers. Through this, project managers and project-based road infrastructure organizations will be able to win the confidence of their stakeholders and attain improvements in cost-effectiveness, quality and time management.

This study provides project managers in the road infrastructure sector with relevant information on which criteria and variables are critical and are frequently required to manage such projects. This will be helpful for training programs and professional development of project managers in the road infrastructure sector.

The study provides a new direction and focuses for project managers in the road infrastructure industry toward best project management practices in developing countries. It also complements existing studies in this area which deepen the understanding of the subject area.

Access to finance and corruption are two major institutional obstacles hindering firm innovation in Africa whose implication on the fit between managerial characteristics and firm innovation has not been examined. The purpose of this paper is to examine whether firms may want to hire managers with a good fit when faced with institutional constraints and the authors suggest managerial level of education and experience within an industry could play a vital role in helping such firms innovate.

Secondary data was obtained from the World Bank Enterprise Survey on 17 African countries and a series of hierarchical regression analyses were conducted to achieve the aim of the research.

The findings show that while managers with primary and secondary education had a negative relationship with firm innovation (product and process), managers with a university degree had a positive relationship. This relationship was also confirmed when the authors’ split the full sample into two sub-samples (the firms that are institutionally constrained by access to finance and corruption) and therefore confirm the institutional implications of managers fit for firm’s innovation.

While research on the effect of management characteristics on firm innovation has focused more on large firms and mostly from developed economies testing both direct and mediation effects, little research exists as to whether the institutional obstacles faced by small firms could influence the type of managers required to drive their innovation.

Managers must make numerous strategic decisions in order to initiate and implement a business model innovation (BMI). This paper examines how managers perceive the management team interacts when making BMI decisions. The paper also investigates how group biases and board members’ risk willingness affect this process.

Empirical data were collected through 26 in-depth interviews with German managing directors from 13 companies in four industries (mobility, manufacturing, healthcare and energy) to explore three research questions: (1) What group effects are prevalent in BMI group decision-making? (2) What are the key characteristics of BMI group decisions? And (3) what are the potential relationships between BMI group decision-making and managers' risk willingness? A thematic analysis based on Gioia's guidelines was conducted to identify themes in the comprehensive dataset.

First, the results show four typical group biases in BMI group decisions: Groupthink, social influence, hidden profile and group polarization. Findings show that the hidden profile paradigm and groupthink theory are essential in the context of BMI decisions. Second, we developed a BMI decision matrix, including the following key characteristics of BMI group decision-making managerial cohesion, conflict readiness and information- and emotion-based decision behavior. Third, in contrast to previous literature, we found that individual risk aversion can improve the quality of BMI decisions.

This paper provides managers with an opportunity to become aware of group biases that may impede their strategic BMI decisions. Specifically, it points out that managers should consider the key cognitive constraints due to their interactions when making BMI decisions. This work also highlights the importance of risk-averse decision-makers on boards.

This qualitative study contributes to the literature on decision-making by revealing key cognitive group biases in strategic decision-making. This study also enriches the behavioral science research stream of the BMI literature by attributing a critical influence on the quality of BMI decisions to managers' group interactions. In addition, this article provides new perspectives on managers' risk aversion in strategic decision-making.

The link between SME performance, growth and development is well established; however, the characteristics of SMEs that allow firms to be successful in the long run in an underdeveloped country context, i.e. Pakistan, are still unclear. This paper aims to bridge this gap by identifying the SMEs’ characteristics that set them apart from their rivals and become successful.

This study uses Storey’s development framework to identify the SMEs’ characteristics. Data is gathered using the case study method from SMEs with a metropolitan context in Pakistan. A narrative methodological framework was used during the data gathering and analysing stages.

Findings of this study indicate that the prosperity of SMEs in Pakistan is dependent on a combination of characteristics, including entrepreneurial characteristics of owner–managers, knowledge of business operating models, social networks and relationship building and innovation in business style. Additionally, other factors such as governance structure, strategic planning of market diversification and export characteristics also influence the prosperity of an SME. These findings may have several important implications for key stakeholders, including entrepreneurs, SMEs and policymakers in the government.

This research provides evidence about factors that can help an SME to become successful in uncertain situations surrounding a business environment. Theoretically, the contribution of this research is that it demonstrates that entrepreneurial characteristics and the effective leadership style of owner–managers can help SMEs achieve prosperity in external unforeseeable situations.

A key obstacle to women’s advancement to managerial roles and leadership positions is the stereotype of the “good” manager, which is characterized by masculine traits. Although this gendered managerial stereotype has been very persistent over the past decades, Powell et al. (2021) recently showed that business students in the USA reported a decreased preference for masculine leadership traits and an increased preference for feminine leadership traits, resulting in a so-called “androgynous” manager profile that contains both masculine and feminine characteristics. This study aims to replicate Powell et al.’s (2021) findings among an older sample of working adults in The Netherlands.

The present study tests for changes in the managerial stereotype in a sample of 5,542 Dutch employees across 2005, 2010 and 2020.

In line with Powell et al. (2021), the results confirm employees’ decreased preference for masculine and increased preference for feminine leadership traits in 2020 compared to 2005. Nevertheless, Dutch employees still favored masculine over feminine leadership traits in 2020, contrary to the findings by Powell et al. (2021).

These observed changes in the managerial stereotype could prove to be an important step forward for women’s advancement to management and leadership positions.

With the present study, the authors demonstrate cross-cultural generalizability and conclude that the stereotype of a “good manager” is not only changing among US business students but also among working adults in The Netherlands. Overall, this study strengthens the observation that the stereotype of a “good manager” is becoming less gendered.

The purpose of this study is to unfold the role of managerial characteristics in developing the dynamic capabilities necessary to serve foreign customers and compete in export market ventures.

The authors test their proposed model using path analysis with data collected from export managers working in 204 small- and medium-sized Turkish exporters operating in various sectors.

The findings suggest that the positive effect of export managers’ process thinking skills on dynamic capabilities increases when the export managers’ learning and avoid orientations are low and prove orientation is high and export venture experience (duration and scope) increases. In addition, it has been found that export managers’ process thinking skills have an indirect effect on export performance through export venture dynamic capabilities.

This study makes three contributions. First, the authors conceptualize and operationalize dynamic capabilities in the context of exporting. The authors empirically validate export venture dynamic capabilities as a higher-level construct composed of sensing, seizing and reconfiguring elements pertinent to the firm’s export market operations. Second, based on the micro-foundations approach of competitive advantage, the authors study managers’ process thinking skills in exporting firms and how these abilities support dynamic capability development in export ventures. Finally, the authors investigate how the impact of export managers’ process thinking skills on export venture dynamic capabilities is influenced by their goal orientations and certain objective exporter characteristics pertaining to different aspects of export venture experience.

This study investigates whether the skilled minority of active equity managers in emerging markets can be identified using a machine learning (ML) framework that incorporates a large set of performance characteristics.

The study uses a cross-section of South African active equity managers from January 2002 to December 2021. The performance characteristics are analysed using ML models, with a particular focus on gradient boosters, and naïve selection techniques such as momentum and style alpha. The out-of-sample nominal, excess and risk-adjusted returns are evaluated, and precision tests are conducted to assess the accuracy of the performance predictions.

A minority of active managers exhibit skill that results in generating alpha, even after accounting for fees, and show that ML models, particularly gradient boosters, are superior at identifying non-linearities. LightGBM (LG) achieves the highest out-of-sample nominal, excess and risk-adjusted return and proves to be the most accurate predictor of performance in precision tests. Naïve selection techniques, such as momentum and style alpha, outperform most ML models in forecasting emerging market active manager performance.

The authors contribute to the literature by demonstrating that a ML approach that incorporates a large set of performance characteristics can be used to identify skilled active equity managers in emerging markets. The findings suggest that both ML models and naïve selection techniques can be used to predict performance, but the former is more accurate in predicting ex ante performance. This study has practical implications for investment practitioners and academics interested in active asset manager performance in emerging markets.

Drawing on signaling theory and the “signal transmission–interpretation–feedback” framework, this study explores the effects of perceived distributive justice and respect from managers on nurses' work meaningfulness and work effort in public hospitals in China and examines the moderating role of work self-efficacy.

We collected 341 paired questionnaires for nurses and managers from four public hospitals in China. The data were analyzed by structural equation modeling and hierarchical regression analysis.

Distributive justice and managers' respect for employees are positively related to work meaningfulness. Additionally, work self-efficacy negatively moderates this relationship. Work meaningfulness is positively related to work effort and fully mediates the relationships between perceived distributive justice and respect from the manager and work effort.

This study provides useful insights for healthcare organizations to improve nurses' work meaningfulness from the perspectives of their material and emotional needs, according to their work self-efficacy characteristics, thus promoting their work effort. The findings offer important guidance for improving the effectiveness of grass-roots human resources to cope with unpredictable situations such as the COVID-19 pandemic.

This study focuses on the organization's environmental factors that affect the primary staff's work meaningfulness. Further, it analyzes the differences in signal interpretation among nurses with different work self-efficacy characteristics, thus providing new insights into work meaningfulness. Through manager–nurse pairing data, it reveals the important role of work meaningfulness in motivating work effort.

Decision-making competence (DMC) of entrepreneurs and managers is a longstanding topic in this increasingly globalized world. These figures operate in conditions not within their own control, and good levels of DMC are often considered to be desirable for the flourishing of business and society. This paper reports an empirical investigation on the DMC of entrepreneurs and managers, in an attempt to inform about their tendencies to incur in risky and costly choices.

Three cognitive biases associated with operational strategies and individual characteristics of entrepreneurs and managers, namely under/overconfidence (UOC, i.e. self-confidence in taking decisions), resistance to sunk costs (RSC, i.e. propensity to take cost investments) and consistency in risk perception (CRP, i.e. how well individuals understand probability rules) were considered . Cognitive biases measures were used in a cross-sectional study on a sample of n = 639 entrepreneurs and n = 512 managers. Data collected via online survey were analyzed using descriptive statistics and inferential statistics to determine differences among entrepreneurs and managers DMC.

Analyses reveal that entrepreneurs exhibit higher levels of UOC compared to managers with a marked presence of UOC among entrepreneurs at younger ages. Conversely, performance regarding RSC improves with higher education levels while age and RSC are positively correlated only for managers, regardless of education. Lastly, entrepreneurs and managers resulted as not being affected by CRP. This study discusses these results to provide initial insights for further avenues of research and practice.

The study offers an innovative, evidence-based viewpoint on how entrepreneurs and managers deal with risky and costly decisions. It offers an initial understanding of the role of UOC, RSC and CRP, that is specific cognitive biases associated with operational strategies and individual characteristics, in the DMC of these working figures. The study forwards avenues of scrutiny of quick-witted entrepreneurs and systematic managers.