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Managers play a critical role in shaping the development of firms due to the risky and long-term nature of innovation. Although the managerial effect on strategic change has long been factored into organizational theories, scholars still lack a complete understanding of the specific managerial capabilities that drive innovation in today's digital economy. The present study builds on dynamic managerial capabilities theory to close this research gap. The paper proposes managers' dynamic capabilities and their three underlying drivers – managerial human capital, social capital, and cognition – as a direct antecedent to digital firms' innovativeness.

The study draws on survey data from German Industry 4.0 manufacturing firms, which were analyzed using regression analysis.

The results confirm managers' dynamic capabilities as facilitators of innovation. In contrast to previous research on nondigital industries, the findings demonstrate that only the complete portfolio of managers' dynamic capabilities promotes innovativeness in digital firms. The study provides evidence for the importance of dynamic managerial capabilities in the digital economy yet contradicts previous research on nondigital industries related to the advantageousness of managers' human capital, social capital, and cognition for innovation.

The study contributes to the literature by being the first to holistically test the effects of dynamic managerial capabilities on innovation in digital firms. The results offer a nuanced account of managers' dynamic capabilities, thereby expanding dynamic managerial capabilities theory to the digital economy.

The role of managerial assumptions in the formulation of organizational strategies has been well recognized by previous studies, yet in marketing literature, the effect of such imperative on marketing practice choice tends to be ignored. Therefore, this paper aims to empirically investigate how management assumptions fit with the choice of marketing practices, and how such fit affects performance.

A model is developed and tested using survey methodology, and the data are analyzed using the partial least square (PLS) approach.

The results show that different marketing practices were coupled with different frames of reference, resulting in viable matching profiles.

Given the novelty of the approach adopted in this study, conclusions about association and not causation are drawn. In addition, the study is restricted to Qatar which may reduce the generalizability of its findings and conclusions.

The findings will help managers to examine carefully the internal logic of their marketing-related profiling, where coherent variables will enhance performance.

To one’s knowledge, this paper reports a work in an area not previously researched. In addition, this study is one of the rare papers that examines unobserved heterogeneity using the PLS-structural equation modeling (SEM) in the field of marketing.

Managers’ work is surrounded by complex environments, from which they need to learn, in order to understand them. However, complexity poses several challenges to managerial learning, for which usually management educational programs have not prepared managers. Thus, the purpose of this paper is to explore such challenges and possible ways to overcome them.

This is a conceptual paper that explores in depth the issue of managerial learning challenges in a complex world. Managers face these challenges during their practice, yet sometimes management education has not prepared them for this.

Three managerial learning challenges due to complexity are identified. First, through cognition and cognitive structures, managers simplify the world around them. Nevertheless, biases, inertia and inaccuracy emerge, as managers’ mental models are not truly capable of capturing complexity. Second, managers look for information to aid them in their learning processes, but the information they gather is sometimes bogus, invalid or unfounded. Third, managers could seek for support from management research to improve their learning. However, given management research intricacies, limitations and particularities, a learning challenge emerges as well, as management research has been rarely capable to capture complexity.

Having explored these managerial learning challenges due to complexity, this paper discusses a carefulness-based management learning ideal, which by being underpinned by the quality of carefulness and the related concepts of critical thinking, negative capability and a deep learning style, suggests a potential new way to approach management learning in light of complexity.

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.

An increasing number of last mile deliveries (LMDs) pose many sustainability challenges that retailers and logistics service providers (LSPs) can address. Using cognitive frames (CFs) as a lens, this study explored how retail and LSP managers make sense of sustainable LMDs.

The methodological approach used is a multiple embedded case study. The data were obtained from interviews with retailers and LSPs, supplemented with secondary data for triangulation.

The findings present the operational aspects of LMDs that managers associate with sustainability and indicate that retail and LSP managers frame sustainability primarily as emission reduction. Managers indicate an externalization of responsibility and a compartmentalization of the supply chain, in which social sustainability is not associated with the last mile. Most managers indicate hierarchical CFs regarding sustainability, in which sustainability is an important topic but is subordinate to economic interests.

Collaboration between retailers, LSPs and other stakeholders is viewed as challenging but could alleviate some of the sustainability shortcomings and aid in the paradoxical framing and inclusion of social issues.

A conceptualization of managerial CFs for sustainable LMDs, together with empirical frame indicators and three propositions, is presented, providing novel insights into how paradoxical CFs could make LMDs more sustainable. This approach illuminates the possibilities for how to untangle the operational manifestations of managerial framing and adds to the empirical exploration of CFs in supply chain management.

The purpose of this paper is to analyze the relationship between organizational performance and the pattern of strategic decisions formalized in the planning of a Brazilian heavy construction company between 2006 and 2014. In this period, the company experienced a recurrent pattern of maintaining strategic decisions, despite the systematic decrease in performance and investments in the formal strategic planning (SP) and monitoring of results. The research focus is on strategic inertia and the influence of social determinants on the relationship between performance and the strategic actions negotiated in formal planning.

This is a single-case study. The exploratory-descriptive research comprises data collection on performance and strategic decisions from the period between 2006 and 2014. The analysis was guided through documentary material and data collected from 16 interviews conducted with members of the middle to top management concerning performance, goals, and strategic initiatives. The interviewees’ statements were used to apprehend the interpreted dimension of SP expressed in the meanings attributed to this process. The analysis adopts a sociological base, and strategic inertia is the underlying phenomenon that guides this analysis.

The results show the interactive effect caused by political, cognitive, discursive, and ceremonial mechanisms obstruct the company’s strategic decisions. This case study illustrates that the conditions for the phenomenon of path dependence were created, reinforcing the strategic inertia observed in the maintenance of a reproduced pattern of strategic initiatives and goals, even though the performance was recurrently unsatisfactory. In this case, strategic inertia showed a complex relationship between the interpreted performance and strategic actions negotiated in formal planning, conditioned by mechanisms of trajectory reinforcement that interfered with the conditions for strategic change.

Strategic inertia demonstrates a complex relationship between the interpreted performance and strategic actions negotiated in formal planning, conditioned by mechanisms of trajectory reinforcement that interfere with the conditions for strategic change. Future research on social mechanisms from the perspective of strategy-as-practice could be developed to capture the tacit components, language, power games, and other relevant categories in the social interaction of strategy development at the organizational level. In addition, future research could focus on investigating the extent to which path dependence is contingent, assuming that it is a temporary and, therefore, reversible process.

This work contributes to the view of SP from the social perspective and shows that the relationship between performance and strategy has biases that can compromise performance. The work highlights implications for maintaining strategic initiative patterns, which shape a path whose function is less associated with its effects on performance and more associated with the commitment to instrumental results, due to the social nature of organizations.

This work deals with social mechanisms that influence strategic decisions. Since organizational performance depends on strategic decisions, the social nature of strategic inertia has causal implications to economic and social impact of organizations.

This work argues in favor of the influence of self-reinforcing mechanisms of path dependence in the relationship between performance and strategic decisions. The results extended the predominantly structural approach of path dependence by considering interpretive aspects related to the political, discursive, cognitive, and ceremonial dimensions of strategic inertia.

Employers increasingly seek a competitive advantage through inclusive hiring practices and recruitment of persons with disabilities. Early research indicates when employers consider individuals for their strengths rather than solely for their needs, the organization prospers. However, details about how companies pursue a disability inclusive workplace and the effect of those efforts are poorly understood.

An inductive qualitative case study approach was utilized to understand one biotechnology corporation and their approach to recruiting, hiring, and retaining employees with disabilities. Individual and focus group interviews were conducted.

Results suggest that when the company lives its mission around wellness and inclusivity, they benefit from working with and learning from a range of perspectives, furthering their growth. Placing equal emphasis on hiring a diverse workforce and prioritizing supports and wellness practices lead to greater productivity and innovation.

This study illustrates how one company successfully recruits and hires persons with disabilities, resulting in benefits to their financial bottom line and to the organizational culture.

This paper offers insights for other companies intentionally hiring persons with disabilities, providing accommodations in the workplace, and creating an organizational culture where all employees feel valued and supported. These steps have a direct impact on employee engagement, productivity, and retention.

Studies of entrepreneurial intentions (EIs) have become increasingly common, informed usually by Ajzen’s (1991) theory of planned behaviour (TPB). Although the TPB postulates that beliefs determine EIs, the contents of the beliefs have not been properly studied, leaving EIs’ cognitive underpinnings and cognitive approaches to influencing EIs unclear. To clarify the TPB/EI-belief nexus, the study examines the conceptual background of entrepreneurial cognitions and elicits the beliefs of a group of nascent micro entrepreneurs (NMEs) to compare them with their TPB attitudes and EIs, facilitating assessing their mutual consistency as implied by the TBP.

The respondents are entrepreneurial novice clients of a micro business advisory organisation. Their TPB attitudes and EIs were measured using standard TPB/EI methods. Comparative causal mapping (CCM) combined with semi-structured interviewing was used to reveal the NMEs’ typical belief systems, presented as aggregated cause maps.

The NMEs have uniform, relatively detailed belief systems about entrepreneurship and micro business. The belief systems are consistent with theory- and context-based expectations and logically aligned with the NMEs’ expressed TPB attitudes and EIs. CCM provides an accessible method for studying contents of entrepreneurial cognitions.

It was not possible to study “entrepreneurship-negative” respondents or the intensity or origins of some specific beliefs.

Diagnosing and better understanding beliefs can benefit entrepreneurship education and development, in general or connected with TPB/EI studies.

The study reveals entrepreneurial belief systems systematically, evidently not done before generally or in terms of “everyday” micro entrepreneurship or TPB. It clarifies and supports the TPB notion that beliefs underpin actors’ attitudes and intentions.

The paper focuses on how knowledge visualization supports the development of a particular multiobjective decision-making problem as a portfolio optimization problem in the context of interorganizational collaboration between universities and a large automotive company. This paper fits with the emergent knowledge visualization literature because it helps to explain decision-making related to the development of a multiobjective optimization model in Lean Product Development settings. We investigate how using ad hoc visual tools supports knowledge translation and knowledge sharing, enhancing managerial judgment and decision-making.

The empirical case in this study concerns the setting up of a multiobjective decision-making model as a portfolio optimization problem to analyze and select alternatives for upgrading the lean production process quality at an FCA plant.

The study shows how knowledge visualization and the associated tools work to enable knowledge translation and knowledge sharing, supporting decision-making. The empirical findings show why and how knowledge visualization can be used to foster knowledge translation and sharing among individuals and from individuals to groups. Knowledge visualization is understood as both a collective and interactional process and a systematic approach where different players translate their expertise, share a framework and develop common ground to support decision-making.

From a theoretical perspective, the paper expands the understanding of knowledge visualization as a system of practices that support the development of a multiobjective decision-making method. From an empirical point of view, our results may be useful to other firms in the automotive industry and for academics wishing to develop applied research on portfolio optimization.

In the context of the COVID-19 pandemic, this study investigates a variety of approaches to supply disruption risk management for achieving effective responses for resilience at the supply management subunit level (e.g. category of items). Drawing on the attention-based view of the firm, the authors model the attentional antecedents of supply resilience as (1) attentional perspectives and (2) attentional selection. Attentional perspectives focus on either supply risk sources or supply network recoverability, and both are hypothesised to have a direct positive association with supply resilience. Attentional selection is top down or bottom up when it comes to disruption detection, and these are hypothesised to moderate the association between disruption risk management perspectives and resilience.

Conducted at the early phases of the COVID-19 pandemic, this study employs a hierarchical regression analysis on a multicountry survey of 190 procurement professionals, each responding from the perspective of their own subunit area of supply responsibility.

Both attentional disruption risk management perspectives are needed to achieve supply resilience, and neither is superior in terms of achieving supply resilience. Both the efficiency of the top down and exposure to the unexpected with the bottom up are needed – to a balanced degree – for improved supply resilience.

The results encourage firms to purposefully develop their supply risk management practices, first, to include both perspectives and, second, to avoid biases in attentional selection for disruption detection. Ensuring a more balanced approach may allow firms to improve their supply resilience.

The results contribute to the understanding of the microfoundations that underpin firms' operational capabilities for supply risk and disruption management and possible attentional biases.