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In order to solve the decision-making problem that the attributive weight and attributive value are both interval grey numbers, this paper tries to construct a multi-attribute grey decision-making model based on generalized greyness of interval grey number.

Firstly, according to the nature of the generalized gresness of interval grey number, the generalized weighted greyness distance between interval grey numbers is given, and the transformation relationship between greyness distance and real number distance is analyzed. Then according to the objective function that the square sum of generalized weighted greyness distances from the decision scheme to the best scheme and the worst scheme is the minimum, a multi-attribute grey decision-making model is constructed, and the simplified form of the model is given. Finally, the grey decision-making model proposed in this paper is applied to the evaluation of technological innovation capability of 6 provinces in China to verify the effectiveness of the model.

The results show that the grey decision-making model proposed in this paper has a strict mathematical foundation, clear physical meaning, simple calculation and easy programming. The application example shows that the grey decision model in this paper is feasible and effective. The research results not only enrich the grey system theory, but also provide a new way for the decision-making problem that the attributive weights and attributive values are interval grey numbers.

The decision-making model proposed in this paper does not need to seek the optimal solution of the attributive weight and the attributive value, and can save the decision-making labor and capital investment. The model in this paper is also suitable for the decision-making problem that deals with the coexistence of interval grey numbers and real numbers.

The paper succeeds in realizing the multi-attribute grey decision-making model based on generalized gresness and its simplified forms, which provide a new method for grey decision analysis.

This study investigates the profound impact of artificial intelligence (AI) capabilities on decision-making processes and organizational performance, addressing a crucial gap in the literature by exploring the mediating role of decision-making speed and quality.

Drawing upon resource-based theory and prior research, this study constructs a comprehensive model and hypotheses to illuminate the influence of AI capabilities within organizations on decision-making speed, decision quality, and, ultimately, organizational performance. A dataset comprising 230 responses from diverse organizations forms the basis of the analysis, with the study employing a partial least squares structural equation model (PLS-SEM) for robust data examination.

The results demonstrate the pivotal role of AI capabilities in shaping organizational decision-making processes and performance. AI capability significantly and positively affects decision-making speed, decision quality, and overall organizational performance. Notably, decision-making speed is a critical factor contributing significantly to enhanced organizational performance. The study further uncovered partial mediation effects, suggesting that decision-making processes partially mediate the relationship between AI capabilities and organizational performance through decision-making speed.

This study contributes to the existing body of literature by providing empirical evidence of the multifaceted impact of AI capabilities on organizational decision-making and performance. Elucidating the mediating role of decision-making processes advances our understanding of the complex mechanisms through which AI capabilities drive organizational success.

This exploratory study aimed to investigate law enforcement officers’ decision-making processes in high-stress scenarios, exploring variations based on experience and how cognitive demands influence officer decision-making processes.

Employing a naturalistic decision-making approach and macrocognitive framework, the study utilizes scenario-based virtual reality simulations and qualitative interviews to examine the decision-making processes of law enforcement officers in high-stress policing contexts.

Thematic coding of interview data from twelve LEOs immediately following a high-stress virtual reality task revealed differences in decision-making processes and cognitive demands between novice and expert officers. Findings also revealed differences in the type of cognitive demands experienced by officers at key points in the simulated scenario.

The authors offer theoretical and practical contributions toward an increased understanding of officer decision-making, factors and conditions that impact LEO decisions and potential mitigation strategies that law enforcement organizations may leverage to improve officer decision-making in high-stress contexts.

Decision-making in human resources management is done at both the micro and macro level of organizations. Unfortunately, the decisions at each level are often executed without consideration of the other, and current theory reflects this issue. In response to a call for integration of micro- and macro-level processes by Huselid and Becker (2011), we review the extant literature on strategic human resources and high-performance work systems to provide recommendations for both research and practice. We aimed to contribute to the literature by proposing the incorporation of the situation awareness literature into the high-performance work systems framework to encourage the alignment of human resources efforts. In addition, we provide practical recommendations for integrating situation awareness and strategic decision-making. We discuss a process for the employment of situation awareness in organizations that might not only streamline human resources management but also result in more effective decisions. Additional considerations include implications for teams, boundary conditions (e.g., individual differences), and measurement.

Business ethics provide a potent source of competitive advantage, placing increasing pressure on organizations to create and maintain an ethical workforce. Nonetheless, ethical breaches continue to permeate corporate life, suggesting that there is something missing from how we conceptualize and institutionalize organizational ethics. The current effort seeks to fill this void in two ways. First, we introduce an extended ethical framework premised on sensemaking in organizations. Within this framework, we suggest that multiple individual, organizational, and societal factors may differentially influence the ethical sensemaking process. Second, we contend that human resource management plays a central role in sustaining workplace ethics and explore the strategies through which human resource personnel can work to foster an ethical culture and spearhead ethics initiatives. Future research directions applicable to scholars in both the ethics and human resources domains are provided.

Purpose – To critically examine various ethical decision making models and use them to arrive at five hypotheses to understand the methods used by small and medium enterprise (SME) owner-managers in Australia when faced with ethical issues or dilemmas.Design/methodology/approach – This analysis involves literature reviews of rational decision making process, alternative methods of decision making and various ethical decision making models including Rest’s four-component model to arrive at the five hypotheses.Findings – The five hypotheses contend that SME owner-managers tend to resolve ethical issues using methods similar to Rest’s four-component model. Some may utilise all four components while others may skip one or more components of the model. Others may engage in intuition and heuristic methods of decision making. Ethical decisions by SME managers may be influenced by factors such as organisational factors, moral exemplars and reflection. The final hypothesis contends that SME managers could consider using the Balanced Scorecard as an instrument to monitor and manage business ethical issues.Research limitations – The literature reviews are not exhaustive but provide sufficient information for the purposes of this chapter.Practical implications – The significance of this study is that the hypotheses can be used to conduct interviews with SME managers and findings from the interviews could be developed into a practical tool for practising managers and a standard or guidelines for managing ethical issues in an SME.Originality/value – This chapter fulfils the need to understand the ethical decision making process and methods used by practicing SME managers in Australia.

Independent travelers are those vacationers who have booked only a minimum of their transportation and accommodation arrangements prior to departure on the vacation. Independent travel is an important and growing sector of worldwide tourism. Choice of vacation itinerary for the independent vacation represents a complex series of decisions regarding purchase of multiple leisure and tourism services. This chapter builds and tests a model of independent traveler decision-making for choice of vacation itinerary. The research undertaken employs a two-phase, inductive–deductive case study design. In the deductive phase, the researcher interviewed 20 travel parties vacationing in New Zealand for the first time. The researcher interviewed respondents at both the beginning and the end of their New Zealand vacations. The study compares pre-vacation research and plans, and actual vacation behaviors, on a case-by-case basis. The study examines case study narratives and quantitative measures of crucial variables. The study tests two competing models of independent traveler decision-making, using a pattern-matching procedure. This embedded research design results in high multi-source, multi-method validity for the supported model. The model of the Independent Vacation as Evolving Itinerary suggests that much of the vacation itinerary experienced in independent travel is indeed unplanned, and that a desire to experience the unplanned is a key hedonic motive for independent travel. Rather than following a fixed itinerary, the itinerary of an independent vacation evolves as the vacation proceeds. The independent traveler takes advantage of serendipitous opportunities to experience a number of locations, attractions and activities that they had neither actively researched nor planned.

This paper seeks to establish the influence of several types of factors on the use of accounting information in the public sector within a developing country context. Institutional theory with its branches NIS and OIE underlies the theoretical framework for explaining the factors influencing the use of accounting information. The analysis was based on structural equation modelling to test nine hypotheses. The data were collected by administering 208 questionnaires to the Tanzanian Local Government Authorities’ political and administrative actors.

At large, the findings of this study comprehend the role of institutionalised social and legal rule with professionalism in shaping actors to use accounting information instrumentally and symbolically in budget decision-making processes. Furthermore, the findings establish the importance of education and experiences on accounting and financial aspects of the actors who are involved in the public sector budget decision-making process. The findings also provide an understanding of the differences between political actors and administrative actors in terms of the factors influencing the symbolic use of accounting information in LGA’s decision-making processes.

Our findings challenge development partners (i.e. donors), reformers such as Central Government and National Accounting professional board such NBAA in Tanzania to coerce pressure by adoption of implementation of NPM techniques, which can lead to positive change in LGAs to influence instrumental rather than symbolic use of accounting information in the budgetary decision-making processes. For example, adoption of accrual basis accounting should also concur with the improvement of accounting information systems, legal and regulatory frameworks together with creation of trainings that increase skill and knowledge of using accounting information by the actors. This might ensure financial sustainability to LGAs that can increase provision of service with relevant quality to citizens. Moreover, the findings need the political parties to take responsibility of building capacity of their candidates. It might ensure that their representatives in the council are capable of making appropriate use of the accounting information at their disposal to improve the quality of budget decision making and their representation of the population for the benefit of their organisation and eventually of their political parties. The citizens are needed to be sources of professional behaviours to both councillors and administrators by making closer follow up and demands of quality services from their LGAs through budgeting processes.

The generalisation of this study’s findings can be limited because they were obtained only from LGAs operating in Tanzania

This is the first paper that establishes the factors influencing the instrumental–conceptual use and the symbolic use of accounting information in LGAs’ budgetary decision-making processes in developing country context, in particular, in Tanzania.