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This study is undertaken to examine the antecedents and role of big data decision-making capabilities toward decision-making quality and environmental performance among the Chinese public and private hospitals. It also examined the moderating effect of big data governance that was almost ignored in previous studies.

The target population consisted of managerial employees (IT experts and executives) in hospitals. Data collected using a survey questionnaire from 752 respondents (374 respondents from public hospitals and 378 respondents from private hospitals) was subjected to PLS-SEM for analysis.

Findings revealed that data management challenges (leadership focus, talent management, technology and organizational culture for big data) are significant antecedents for big data decision-making capabilities in both public and private hospitals. Moreover, it was also found that big data decision-making capabilities played a key role to improve the decision-making quality (effectiveness and efficiency), which positively contribute toward environmental performance in public and private hospitals of China. Public hospitals are playing greater attention to big data management for the sake of quality decision-making and environmental performance than private hospitals.

This study provides guidelines required by hospitals to strengthen their big data capabilities to improve decision-making quality and environmental performance.

The proposed model provides an insight look at the dynamic capabilities theory in the domain of big data management to tackle the environmental issues in hospitals. The current study is the novel addition in the literature, and it identifies that big data capabilities are envisioned to be a game-changer player in effective decision-making and to improve the environmental performance in health sector.

In every manufacturing company, irrespective of size, product and other variables, management are constantly involved in quality‐related decisions which have a direct effect on product quality. An analytical method is described for assessing an organisation's approach to quality management. On application, managers are provided with information on the reality of their quality assurance activities. An overview of some of the issues involved in decision making is provided, followed by an outline of the research methodology, and, finally, the “method” is presented with some results arising from its application.

Recently, the increasing development of digital accounting systems has raised their effects on the quality of decision-making. Consequently, this research aims to evaluate the effects of digital accounting systems success factors on the advancement of decision-making quality in Jordanian banks.

The questionnaires were sent to 187 decision-makers who are actual users of digital accounting systems in Jordanian banks. A quantitative research approach was adopted to test the proposed research model based on the partial least squares-structural equation modeling method.

The empirical results of the current research revealed that data and information quality had a significant impact on the overall decision-making quality with the digital accounting systems, whereas system quality had an insignificant impact on it. The results empirical also confirmed that information quality has mediated the relationship between data and system quality and decision-making quality. Eventually, analytical decision-making culture has moderated the relationship between information quality and decision-making quality.

The current research will provide attractive implications and recommendations for practitioners, accounting managers and decision-makers about evaluating the effect of digital accounting systems on improving the decision-making quality in Jordanian banks.

Reaching decisions in a deliberative manner is of utmost importance for boards, as their decision-making impacts entire organisations. The current study aims to investigate (1) the quality of group decisions made by board members, (2) their confidence in, satisfaction with, and reflection on the decision-making, and (3) the effect of two discussion procedures on objective decision quality and subjective evaluations of the decision-making.

Board members of various Dutch non-profit organisations (N = 141) participated in a group decision-making task and a brief questionnaire. According to the hidden-profile paradigm, information was asymmetrically distributed among group members and should have been pooled to reach the objectively best decision. Half of the groups received one of two discussion procedures (i.e. advocacy decision or decisional balance sheet), while the other half received none.

Only a fifth of the groups successfully chose the best decision alternative. The initial majority preference strongly influenced the decision, which indicates that discussion was irrelevant to the outcome. Nevertheless, board members were satisfied with their decision-making. Using a discussion procedure enhanced participants' perception that they adequately weighed the pros and cons, but did not improve objective decision quality or other aspects of the subjective evaluation. These findings suggest that board members are unaware of their biased decision-making, which might hinder improvement.

Rather than using student samples, this study was the first to have board members participating in a hidden-profile task.

Without a formulated quality management policy and a direct lead from the chief executive, companies are unlikely to be able to effectively co‐ordinate quality‐related decision making; consequently, the approach to quality tends to be inspection orientated. Results of a study on how quality‐related decisions are made in six companies also suggests that the involvement of quality staff in design, purchasing and market feedback is vital, ensuring that quality‐related decision making is effective and consistent with policy.

This study investigates the role of an augmented reality (AR)-based tool in customers' shopping processes.

Using the stimulus-organism-response (SOR) and consumer decision-making models, this study builds a comprehensive theoretical model that investigates the mechanism sequentially connected AR-enabled shopping tool and customer responses. Décor Matters was chosen as the AR-enabled mobile application for this study. Qualtrics, which conducted the survey, collected 150 responses in the USA. The authors used structural equation model to test the hypotheses.

This study enriches the retail-related AR theory by offering a holistic and structural view of the factors that connect customers' cognitive and affective internal processes with customers' shopping task. However, having used only one type of AR-enabled app in the study, the findings remain limited.

This research advances the understanding of AR's role in the customer shopping process by validating the positive effect of immersion on purchase intention, as well as revealing the mediating effect of decision-making quality and the moderating effect of privacy concerns. However, as only one type of AR-enabled app was used in the study, the findings are still limited.

The findings can help retailers to understand why and how firms can benefit from investing in AR-enabled apps (i.e. by focussing on customer perceived immersion and decision-making quality with AR).

This study's originality lies in the SOR model's extension, which integrates the customer decision-making model, allowing for connecting customers' cognitive and affective internal experiences with their shopping task. The findings can help retail managers to understand more clearly and in-depth why and how AR works in customers' shopping process.

The purpose of this paper is to identify the role of the rationality of the strategic decision‐making process between decision magnitude of impact and the quality of the decision process output.

From analysis of alternative research approaches, a field survey seems to be the most appropriate methodological choice. This is a field study of real strategic decision‐making process rather than an artificial setting. The questionnaire consists of items measuring the variables of primary interest; namely the independent, mediator, and dependent variables. The study was conducted in Pinang, Malaysia, involving small, medium, and large‐sized private manufacturing firms. To test and eliminate ambiguous or biased items and to improve the format, both for ease of understanding and to facilitate data analysis, a pilot study was conducted by computing Cronbach's reliability alpha.

The results of regression analysis indicate that the decision magnitude of impact is significantly associated with the level of rationality in the decision‐making process. The results of hierarchical regression analyses indicate that the extent of rationality in the decision‐making process is able to significantly change the total variations in the decision‐ making quality explained by magnitude of impact.

The complex nature of strategic decision‐making process as a research topic places limitations on this study, particularly in the area of sample selection and data availability and collection. The major sample selection at the manufacturing firms is difficult because a firm's perception in terms of strategic decisions may not be the same, thus it is not easy to ascertain relevant sample characteristics.

Findings of this study indicate that a better quality decision is achieved through a rational process. Thus, organizations should encourage greater use of rationality in the decision‐making process, especially when the decision that is going to be made has more impact on the various parts of the organization or it is a strategic decision.

This study is believed to be the first to test the mediating impact of rationality of the strategic decision‐making process. This study was carried out among Malaysian manufacturing firms, and therefore comparison of its results to the findings in other countries may suggest the influence of other factors such as ideology, belief, and culture on strategic decision‐making processes. This in turn may open up a promising avenue for future research.

This study aims to investigate the relationship between shared leadership (SL) and decision quality, utilizing shared leadership theory (SLT) and behavioral decision theory (BDT). The authors will explore the mediating role of “decision comprehensiveness” in the SL–decision quality linkage. Additionally, the authors will examine how individual “self-leadership” and “debate” among team members moderate the relationship between SL and decision comprehensiveness.

The authors tested the hypothesized moderated mediation model using a sample of 506 professionals employed in 112 research and development (R&D) teams, along with their direct managers from large Italian firms. To examine the relationships, the authors employed confirmatory factor analyses and path analyses. In order to address endogeneity concerns, the authors incorporated an instrumental variable, namely delegation, into the analysis.

SL positively influences decision quality, mediated by decision comprehensiveness, where teams include comprehensive information in decision-making. The level of debate among team members positively moderates the SL–decision comprehensiveness relationship. High levels of self-leadership can harm SL by reducing decision comprehensiveness, indicating a downside. However, low or moderate levels of self-leadership do not harm decision comprehensiveness and can even benefit SL.

This is the first work to investigate the relationship between SL and decision quality, shedding light on the mechanisms underlying this association. By integrating SLT and BDT, the authors provide insights into how managers can make higher-quality decisions within self-leading teams. Moreover, this research makes a distinct contribution to the field of self-leadership by delineating its boundaries and identifying a potentially negative aspect within the self-influence process.

Work in distributed project teams is always a challenge for organizations. Many researchers have studies different aspects of distributed project teams, as witnessed by the impressive number of papers published in the last decade. However, it appears that the dimensions related to organizational support have still not received much attention in empirical studies. This study investigates the dimensions of organizational support in distributed project teams that contribute most to the quality of the decision‐making process and teamwork effectiveness in distributed project teams.

The initial intent of this research was to test a theoretical model on the basis of data from the field, namely real‐life situations. A two‐step approach (qualitative and quantitative method) was used. The research model was tested in a sample of experienced project managers on distributed project teams.

The results suggest that strategic staffing and training and tools provided to team members have a positive impact on the quality of decision making and teamwork effectiveness. Team autonomy is more salient and influential in fostering decision quality in a highly culturally diverse context. Our findings also re‐confirm the link between the quality of decision making and team effectiveness. Thus, teams are perceived as vehicles for identifying and integrating various individual viewpoints and combining knowledge.

This study underscores the importance of selecting practices that enhance the recognition of team members’ contributions in the context of distributed project teams. It is now clear that managers cannot treat these distributed project teams in the same way as conventional teams. Several intervention and support methods are possible. This research contributes to identifying which of them are the most appropriate in this context.

This study contributes to research on distributed project teams and on organizational support theory. It highlights the importance of understanding the processes or dimensions underlying the consequences of perceived organizational support. It bolsters the need to select practices that enhance the recognition of team members’ contributions and treat them favourably in the context of distributed project teams.

The purpose of this paper is to describe how top management teams' expertise in comprehensive and intuitive decision-making contributes to effective improvisational decision-making in times of crisis. Also, improvisational decision-making, as a means for balancing or transcending the dualities of comprehensive and intuitive decision processes, enables the three strategic decision-making processes to coexist and contribute to decision-quality when in crisis.

After providing a general overview of comprehensive, intuitive and improvisational decision-making and introducing paradox theory, this paper offers a conceptual model of the link between improvisational decision-making and decision quality in crisis situations. Three boundary conditions are discussed: expertise in comprehensive decision-making, expertise in intuitive decision-making and the paradoxical balanced combination of comprehensive and intuitive decision-making. Two brief cases are included to illustrate the theory.

Although comprehensive and intuitive decision-making are rooted in distinct information processing approaches with different cognitive demands and at times contradictory logics, they can be combined in unique ways when senior executives improvise decisions in crisis situations.

Particularly in the contexts of crises, it is critical for managers to understand the value of improvisational decision-making and the balanced combination of decision-making tools available to them in order to make rapid and quality decisions. Potential action research interventions are suggested.

This paper offers an integrated model of decision-making, encompassing comprehensive, intuitive and improvisational processes and highlights the combinatory and synergistic nature of these approaches in a crisis.