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The purpose of this paper is to present a conceptual framework for integrating strategic thinking factors, organisational performance and the decision-making process.

The methodology involves a synthesis of literature and proposes a framework that explores the relationship between strategic thinking enabling factors, organisational performance and the moderating effect of decision-making styles.

The framework includes strategic thinking enabling factors (systems perspective, focused intent, intelligent opportunism, thinking in time and hypothesis-driven analysis), organisational performance and the moderating effect of decision-making styles (intuitive and rational).

This research results in a conceptual model only; it remains to be tested in actual practice. The expanded conceptual framework can serve as a basis for future empirical research and provide insights to practitioners into how to strengthen policy development in a strategic planning process.

A paradigm shift in the literature proves that strategic management and decision-making styles are vital in determining organisational performance. This paper highlights the importance of decision-making styles and develops a framework for strategic management by analysing the existing strategic management literature.

The purpose of this study is to address a timely research question by clarifying whether formal planning is a worthy approach for hotels. In so doing, the authors developed a theoretical model that extends prior research by exploring how the formal planning process influences organizational capabilities and decision-making style. The model also examines the impact of the three identified factors on planning effectiveness.

Data were collected from 175 hotels located in United Arab Emirates (UAE) and Qatar and hypotheses were tested using structural equation modeling (SEM).

The study concludes that the practice of formal planning in the tourism sector does matter and both organizational capabilities and decision-making style are important factors in predicting planning effectiveness.

Generalizations to organizations operating in other sectors, such as manufacturing or government sectors, should be drawn cautiously.

Taking into account oil price volatility and serious political crises in the region, this study provides several insights to hotel managers into how the formal planning process can influence planning effectiveness.

The findings enrich the debate on the role of formal planning in the tourism sector, which has been relatively devoid of similar studies.

This paper aims to fill gaps in one’s knowledge of the impact of organizational change on two outcomes relevant to hospital service quality (performance obstacles and physician job satisfaction) and in one’s knowledge of the role of middle manager change-oriented leadership in relation to the same outcomes. Further, the authors aim to identify how physician participation in decision-making is impacted by organizational change and change-oriented leadership, as well as how it mediates the relationships between these two variables, performance obstacles and job satisfaction.

The study adopted a cross-sectional survey design including data from Norwegian hospital physicians (N = 556). A hypothetical model was developed based on existing theory, confirmatory factor analysis was carried out in order to ensure the validity of measurement concepts, and the structural model was estimated using structural equation modelling.

The organizational changes in question were positively related to performance obstacles both directly and indirectly through participation in decision-making. Organizational change was also negatively related to job satisfaction, both directly and indirectly. Change-oriented leadership was negatively related to performance obstacles, but only indirectly through participation in decision-making, whereas it was positively related to job satisfaction both directly and indirectly.

The authors developed a theoretical model based on existing theory, but to their knowledge no other studies have tested these exact relationships within one model. These findings offer insights relevant to current and ongoing developments in the healthcare field and to the question of how hospitals may deal with continuous changes in ways that could contribute positively towards outcomes relevant to service quality.

The research explores indecision of strategic leaders in a complex case organization. This research offers new insights into the drivers of indecision of upper echelons decision-makers and explores the perceived consequences of the decision-makers' indecision.

Following a review of literature on upper echelons theory and strategic decision-making, indecision and the antecedents and consequences of indecision, the research follows a qualitative exploratory design. Semi-structured interviews were conducted among 20 upper echelons decision-makers with responsibility across 19 Sub-Saharan African countries in a case company. Thematic analysis was used to analyze the data.

The findings reveal that specific organizational, interpersonal and personal factors work together to drive strategic leader indecision in a complex organization. Strategic leader indecision brings about several negative organizational consequences and demotivates team members.

The findings are based on a single-case exploratory design but represent geographical diversity.

The research cautions organizations to deal with the drivers of strategic leader indecision to help avoid potential negative consequences of stifled organizational performance and team demotivation.

The study offers previously unknown insights into strategic leader indecision. This study builds on current literature on the antecedents and consequences of indecision and has a new research setting of strategic leader indecision in a complex organization.

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 purpose of this paper is to apply the aspects of decision theory (DT) to performance measurement and management (PMM), thereby enabling the theoretical elaboration of volatility, uncertainty, complexity and ambiguity in the business environment, which are identified as barriers to effective PMM.

A review of decision theory and PMM literature establishes the Cynefin framework as the basis for extending the performance alignment matrix. Case research with seven companies explores the relationship between two concepts under-examined in the performance alignment matrix – internal dominant logic (DL) as the attribute of organisational culture affecting decision making, and the external environment – in line with the concept of alignment or fit in PMM. A focus area is PMM related to sustainable operations and sustainable supply chain management.

Alignment between DL, external environment and PMM is found, as are instances of misalignment. The Cynefin framework offers a deeper theoretical explanation about the nature of this alignment. Other findings consider the nature of organisational ownership on DL.

The cases are exploratory not exhaustive, and limited in number. Organisations showing contested logic were excluded.

Some organisations have cultures of predictability and control; others have cultures that recognise their external environment as fundamentally unpredictable, and hence there is a need for responsive, decentralised PMM. Some have sought to change their culture and PMM. Being attentive to how cultural logic affects decision making can help reduce the misalignment in PMM.

A novel contribution is made by applying decision theory to PMM, extending the theoretical depth of the subject.

The purpose of this paper is to study the crisis management process for project-based organizations (PBOs) by developing a comprehensive model and propositions.

This paper is based on a conceptual study. A literature review is considered a primary source for studying contemporary research, including 171 publications in total, which embody qualitative, quantitative, conceptual and theoretical studies. For data analysis, content analysis is used, which is comprised of descriptive and thematic analysis.

This study identifies five imperative elements of crisis management for PBOs which include (1) sense-making (information gathering and crisis interpretation), (2) decision-making (accurate and timely decision), (3) response (reactive response), (4) outcome (success/failure) and (5) learning. Based on these findings, this study proposes an integrative model of the interplay between sense-making, decision-making, response, outcome and learning. Furthermore, the findings lead to propositions for each of the elements. The paper contributes to the literature on dynamic capability theory.

This paper explores the crisis management process for PBOs. The proposed model deepens the understanding of the practices and processes of project-based crisis management.

Discussions about sustainability in the organizational context present a blind spot. It appears when we ask if a company recognized as sustainable, keep what it means compatible with corporate sustainability premises and its values on the strategic decision process. In this context, the purpose of this paper is, on the light of sensemaking and the decision-making theory, to reflect on possible divergences between meanings attributed to sustainability, available on official documents, and the meanings identified in current actions and narratives related to sustainability goals in the researched organization.

The research adopted a qualitative approach, characterized as descriptive, using as methods narrative analysis and documentary research, that were carried out from sensemaking theory.

It was identified coherence between strategic statements and present sustainable actions. However, in view of theoretical reference used, it was identified an imprecision in sustainability perspectives of decision making. Inconsistency tends to promote internal resistance, difficulty to commit to all areas and prejudice long-term results.

Future studies should compare the decision-making meaning attributed to sustainability in companies of different market segments.

The studied case shed light on the importance of managers having at their disposal a map that relates strategic objectives and actions aimed at sustainability. The lack of this compromises the organizational results focused on corporate sustainability.

The understanding of the meanings attributed gives rise to perceptions of possible and relevant flaws in the alignment between the discourse and the practice of sustainability, supporting possibilities of the fine adjustments in strategic decision making.

While artificial intelligence (AI) has shown its promise in assisting human decision, there exist barriers to adopting AI for decision-making. This study aims to identify barriers in the adoption of AI for automated organisational decision-making. AI plays a key role, not only by automating routine tasks but also by moving into the realm of automating decisions traditionally made by knowledge or skilled workers. The study, therefore, selected respondents who experienced the adoption of AI for decision-making.

The study applied an interpretive paradigm and conducted exploratory research through qualitative interviews with 13 senior managers in South Africa from organisations involved in AI adoption to identify potential barriers to using AI in automated decision-making processes. A thematic analysis was conducted, and AI coding of transcripts was conducted and compared to the manual thematic coding of transcripts with insights into computer vs human-generated coding. A conceptual framework was created based on the findings.

Barriers to AI adoption in decision-making include human social dynamics, restrictive regulations, creative work environments, lack of trust and transparency, dynamic business environments, loss of power and control, as well as ethical considerations.

The study uniquely applied the adaptive structuration theory (AST) model to AI decision-making adoption, illustrated the dimensions relevant to AI implementations and made recommendations to overcome barriers to AI adoption. The AST offered a deeper understanding of the dynamic interaction between technological and social dimensions.