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The study's objective is to create a method to select the best course of maintenance action for each state of ship propulsion system degradation while considering both the present and future costs and associated carbon intensity indicator, CII, rates. The method considers the effects of wind and wave action when considering fouling and ageing. The ship resistance in calm, wave, and wind conditions has been defined using standard operating models, which have also been used to estimate the required engine power, service speed, fuel consumption, generated CO2, CII, and subsequent maintenance costs. The maintenance takes into consideration the effects of profit loss because of lost opportunities and efficiency over time. Any maintenance choice has total costs associated with it, including extra fuel, upkeep, and missed opportunities. Using a discrete-time Markov chain, the ship's propulsion system maintenance schedule is optimized. A decision has been reached regarding the specific maintenance measures to be undertaken for each state of the Markov chain among various alternatives. The choice of optimal maintenance is related to a Markov decision process and is made by considering both the current and future costs. The developed method can forecast the propulsion system's future states and any required maintenance activities. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Interdisciplinary Educational Research / Disiplinlerarası Eğitim Araştırmaları Dergisi is the property of Interdisciplinary Education & Research Association / Disiplinlerarasi Egitim ve Arastirma Dernegi and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

How do people attribute responsibility when an outcome is not caused by an individual but results from a decision chain involving several people? We study this question in an experiment, in which five voters sequentially decide on how to distribute money between them and five recipients. The recipients can reward or punish each voter, which we use as measures of responsibility attribution. In the aggregate, we find that responsibility is attributed mostly according to the voters' choices and the pivotality of the decision, but not for being the initial voter. On the individual level, we find substantial heterogeneity with three overall patterns: Little to no responsibility attribution, pivotality-driven, and focus on choices. These patterns are similar when praising voters for good outcomes and blaming voters for bad outcomes. [ABSTRACT FROM AUTHOR]

Decision-making is critical throughout the entire project cycle, particularly during the project design stage, where the detailed concept is developed based on stakeholders' requirements and project constraints. To improve project design, various digital technologies are employed to provide stakeholders with comprehensive data for informed decision-making. The paper aims to understand how BIM influence the decision-making process – input, decision and output - during the project design. More specifically, we aim to answer the following question: which decision-making challenges could restrict BIM benefits during the project design stage? Utilizing two embedded case studies and a focus group, we explore the perceived benefits and challenges of BIM in decision-making among project actors. This research contributes to the field of digital technologies in project management by highlighting specific benefits and challenges, such as decision validation and the transformation of decision makers’ roles. Our findings illustrate the interconnected nature of these benefits and challenges through the Input-Process-Output model. We specifically emphasize that the advantages of BIM in the decision-making process can be significantly affected if project organizations do not adapt the roles and competencies of decision makers to effectively utilize BIM. The use of BIM therefore brings novel decision-making challenges, which are presented in the discussion.

To investigate into the cognitive perspective of venture investment, we performed a field experiment to explore the features and the effectiveness of the intuitive and analytic cognitive modes in the investment decision process. The results showed that intuitive investors care more about the business plan and benefit from the balanced and integrated consideration of both business plan and the entrepreneurial team to make more effective investment decision. The study's contributions to multiple topics and future directions are discussed. [ABSTRACT FROM AUTHOR]

The existence of natural gas and rare mineral reserves, energy transmission lines, and sacred places within its borders makes that geography a target for other countries, whether neighboring or not. These countries spend most of their budgets on war technologies and good defense. There are many factors to consider when choosing the location of a military base, which is vital in terms of both defense and logistic support. This study aimed to determine the criteria that should be taken into account in determining the borderline security and selecting the location of military bases of great strategic importance by getting rid of the disadvantages of classical decision-making processes. For this purpose, a solution to the problem was sought with the method obtained by combining the AHP method, one of the latest approaches in the decision-making process, with neutrosophic logic. In order to enable the experts to cope with uncertain information and to prevent errors in preference values due to differences in individual approaches, three expert opinions were obtained and the Delphi method was used to increase the advantages of the neutrosophic analytic hierarchy process (N-AHP) method by utilizing the degree of consensus. Expert opinions were received to determine, prioritize, and group the criteria using the Delphi method, and after these criteria were analyzed, their importance levels were determined by weighting the criteria using the N-AHP method. Thus, an important study in which these two compatible methods were used together for the establishment of a military base was presented to researchers. When the criteria weights of the 12 sub-criteria are analyzed, it was concluded that ease of logistics access is the most important criterion for base location selection. [ABSTRACT FROM AUTHOR]

Though many studies have linked shared decision-making with positive patient outcomes and patient satisfaction, there is less research on the practicality and feasibility of such an approach, specifically, in India. Recent findings indicate that contextual constraints of the patients and family caregivers are fused with and inevitably shape their decision-making style. This study investigates the influence of individual (paternalistic and shared decision-making style) and contextual (financial status of the patients) factors on certain cultural aspects of decision process, namely, trust in doctors, patient's agency, emotional distress and attribution of responsibility. Data were collected using a survey questionnaire from a sample of 306 participants. Linear mixed models were used to analyse the responses. The results indicate that a shift towards shared approaches does yield qualitatively superior outcomes in terms of increased trust in doctors and patients' agency along with reduced emotional distress. The study also emphasises the role of cultural metaphysical beliefs in attributing responsibility for treatment decisions. Further, low financial status was found to be associated with higher trust in doctors, lower patient agency, and increased emotional distress for both patients and family caregivers. The move towards shared decision-making, considering the contextual realities of patients, could be instrumental in addressing critical issues, such as prevalence of collusion, superficial role of informed consent, and high reliance on doctors' authority or expertise. [ABSTRACT FROM AUTHOR]

The existence of natural gas and rare mineral reserves, energy transmission lines, and sacred places within its borders makes that geography a target for other countries, whether neighboring or not. These countries spend most of their budgets on war technologies and good defense. There are many factors to consider when choosing the location of a military base, which is vital in terms of both defense and logistic support. This study aimed to determine the criteria that should be taken into account in determining the borderline security and selecting the location of military bases of great strategic importance by getting rid of the disadvantages of classical decision-making processes. For this purpose, a solution to the problem was sought with the method obtained by combining the AHP method, one of the latest approaches in the decision-making process, with neutrosophic logic. In order to enable the experts to cope with uncertain information and to prevent errors in preference values due to differences in individual approaches, three expert opinions were obtained and the Delphi method was used to increase the advantages of the neutrosophic analytic hierarchy process (N-AHP) method by utilizing the degree of consensus. Expert opinions were received to determine, prioritize, and group the criteria using the Delphi method, and after these criteria were analyzed, their importance levels were determined by weighting the criteria using the N-AHP method. Thus, an important study in which these two compatible methods were used together for the establishment of a military base was presented to researchers. When the criteria weights of the 12 sub-criteria are analyzed, it was concluded that ease of logistics access is the most important criterion for base location selection.

The aim of this research is to enhance Oil and Gas (O&G) construction risk assessment using Fuzzy-based Failure Model Effect Analysis (FMEA) through the lens of O&G project managers in the U.S. A mixed-method approach was adopted for data collection, analysis, and processing, including semi-structured interviews with project managers to identify the key risks facing O&G construction projects; a Fuzzy-based FMEA to quantitatively analyse the level of significance of O&G risks; surveys to rank the assessment dimensions of the developed model and their components; and open-ended surveys to validate and verify the assessment model and its outputs, further expanding on the root causes of significant risks based on the assessment outputs, and to propose mitigation strategies for these risks. The research identified 41 risk factors classified under six categories, namely: management, technical and quality, financial and economic, health, safety, environmental, legal, and stakeholders’ risks. In addition, the risk assessment revealed that non-compliance with PPE regulations emerged as the most significant risk factor across all categories of O&G risks. This study offers valuable insights by assisting practitioners in better understanding the significant O&G risks that need to be addressed to ensure the successful execution and completion of O&G projects.

This paper discusses three different kinds of motivation conflicts influence the customers’ indecision behavior. Based on previous literature review, the author proposed a stochastic model to predict indecision behavior respectively by approach–approach, avoidance–avoidance and approach–avoidance conflict situations. The duration time of decision making is used as measuring indecision behavior which is considered as Weibull distribution. Simulation data and empirical data are both conduct to compare the fitness between the proposed model and real decision process. The application is demonstrated in the conclusion.

Abstract Background During the COVID-19 pandemic, a variety of clinical decision support systems (CDSS) were developed to aid patient triage. However, research focusing on the interaction between decision support systems and human experts is lacking. Methods Thirty-two physicians were recruited to rate the survival probability of 59 critically ill patients by means of chart review. Subsequently, one of two artificial intelligence systems advised the physician of a computed survival probability. However, only one of these systems explained the reasons behind its decision-making. In the third step, physicians reviewed the chart once again to determine the final survival probability rating. We hypothesized that an explaining system would exhibit a higher impact on the physicians’ second rating (i.e., higher weight-on-advice). Results The survival probability rating given by the physician after receiving advice from the clinical decision support system was a median of 4 percentage points closer to the advice than the initial rating. Weight-on-advice was not significantly different (p = 0.115) between the two systems (with vs without explanation for its decision). Additionally, weight-on-advice showed no difference according to time of day or between board-qualified and not yet board-qualified physicians. Self-reported post-experiment overall trust was awarded a median of 4 out of 10 points. When asked after the conclusion of the experiment, overall trust was 5.5/10 (non-explaining median 4 (IQR 3.5–5.5), explaining median 7 (IQR 5.5–7.5), p = 0.007). Conclusions Although overall trust in the models was low, the median (IQR) weight-on-advice was high (0.33 (0.0–0.56)) and in line with published literature on expert advice. In contrast to the hypothesis, weight-on-advice was comparable between the explaining and non-explaining systems. In 30% of cases, weight-on-advice was 0, meaning the physician did not change their rating. The median of the remaining weight-on-advice values was 50%, suggesting that physicians either dismissed the recommendation or employed a “meeting halfway” approach. Newer technologies, such as clinical reasoning systems, may be able to augment the decision process rather than simply presenting unexplained bias.

This research proposes a hybrid multi-criteria decision-making (MCDM) framework for workforce recruitment in Taiwan’s electronics manufacturing companies, an area with limited research. First, a comprehensive review of existing literature and interviews with industry experts were conducted to compile a list of decision-making criteria and sub-criteria relevant to workforce selection in Taiwan’s electronics industry. The Fuzzy Delphi Method (FDM) was then applied to identify and retain the most critical criteria while eliminating the less important ones. Next, Interpretive Structural Modelling (ISM) was used to calculate the interdependencies among the identified factors. Finally, based on these relationships, the Fuzzy Analytic Network Process (FANP) was employed to calculate the relative importance weights of the criteria and sub-criteria. These weights were then used to rank the criteria, identifying the most important ones and aiding in decision-making. The findings indicate that the proposed method provides a structured and assessable model for making informed decisions in workforce recruitment, particularly in the challenging environment of Taiwan’s electronics manufacturing industry, which faces a shortage of skilled labor. The research presents three primary contributions: the development of a systematic criteria selection technique using FDM, the establishment of consistent criteria relations for decision-makers using ISM, and the proposal of an application model employing the FANP method to identify and rank appropriate criteria for hiring new employees. The study highlights work attitude, adaptability to the environment, and work ability as major criteria. It also emphasizes the importance of discipline compliance, a positive attitude, and adherence to health and safety protocols as the top sub-criteria for workforce selection.

Background: During the COVID-19 pandemic, a variety of clinical decision support systems (CDSS) were developed to aid patient triage. However, research focusing on the interaction between decision support systems and human experts is lacking. Methods: Thirty-two physicians were recruited to rate the survival probability of 59 critically ill patients by means of chart review. Subsequently, one of two artificial intelligence systems advised the physician of a computed survival probability. However, only one of these systems explained the reasons behind its decision-making. In the third step, physicians reviewed the chart once again to determine the final survival probability rating. We hypothesized that an explaining system would exhibit a higher impact on the physicians' second rating (i.e., higher weight-on-advice). Results: The survival probability rating given by the physician after receiving advice from the clinical decision support system was a median of 4 percentage points closer to the advice than the initial rating. Weight-on-advice was not significantly different (p = 0.115) between the two systems (with vs without explanation for its decision). Additionally, weight-on-advice showed no difference according to time of day or between board-qualified and not yet board-qualified physicians. Self-reported post-experiment overall trust was awarded a median of 4 out of 10 points. When asked after the conclusion of the experiment, overall trust was 5.5/10 (non-explaining median 4 (IQR 3.5–5.5), explaining median 7 (IQR 5.5–7.5), p = 0.007). Conclusions: Although overall trust in the models was low, the median (IQR) weight-on-advice was high (0.33 (0.0–0.56)) and in line with published literature on expert advice. In contrast to the hypothesis, weight-on-advice was comparable between the explaining and non-explaining systems. In 30% of cases, weight-on-advice was 0, meaning the physician did not change their rating. The median of the remaining weight-on-advice values was 50%, suggesting that physicians either dismissed the recommendation or employed a "meeting halfway" approach. Newer technologies, such as clinical reasoning systems, may be able to augment the decision process rather than simply presenting unexplained bias. [ABSTRACT FROM AUTHOR]

Continuity of the objective functions and compactness of their domain are classical assumptions widely used to obtain existence results for solutions of optimization problems. Due to the lack of compactness in general spaces, under some moderate assumptions concerning the objective function and the feasible set, we derive existence results for vector-valued optimization problems and corresponding results for associated scalarized problems in this paper. Furthermore, we apply our results to special vector-valued approximation problems, especially to multi-objective location problems where the whole set of efficient solutions can be generated by a geometric primal-dual algorithm. Moreover, by using the nonlinear scalarizing functional introduced by Gerstewitz, we perform an optimization according to the preferences of a decision maker on the generated set of efficient solutions from which we derive a single solution of this set that corresponds to the preferences of the decision maker. [ABSTRACT FROM AUTHOR]

Research has extensively studied parental vaccination decision-making drivers and barriers. The most powerful predictors of vaccination actions include the understanding of the risks posed by the disease; and the side effects of vaccination; vaccine beliefs and attitudes; and their effectiveness and safety concerns. Thus, this study aimed to explore the parents decision-making experience in choosing MMR vaccine in Banten, Indonesia. In qualitative study, a purposeful sampling process was used to identify parents with a variety of expected MMR decisions: (1) accept MMR on time, (2) accept MMR late, (3) receive one or more individuals, (4) obtain no MMR or individuals. A qualitative quality analysis was used to interpret the transcribed text. A total of 25 participants from 5 different FGDs were included in this study. This qualitative interview resulted in 4 themes, namely: healthy life, own health perceptions, disease history, perceived severity, and susceptibility of vaccine-preventable illnesses. Research on the MMR vaccination should move a step forward and include studies looking at similarities and differences in the factors predicting parents' intention to follow MMR vaccination recommendations by comparing parents of very young children, being the primary target group of MMR vaccination campaigns and interventions, with parents of adolescent children. [ABSTRACT FROM AUTHOR]

Businesses are facing an uncertain world that is constantly changing due to social environment, consumer demand and product competitiveness, representing the determining factor of competitive market pressures. In order to choose between alternative business opportunities, the managers need information about future costs and revenues and how they may vary at different levels of activity. In decision-making processes, the information from the internal and external environment must be considered, in order to identify all the opportunities and threats specific to the activity. For an efficient and fruitful use of this information in business environment, management accounting systems are used for providing performance reporting, planning, budgeting and forecasting processes, which are fundamental to management. The aim of this study is to analyze the role of management accounting systems in decisions process, by improving understanding of how managers use management accounting systems, through a questionnaire addressed to automotive industry companies, at international level.

For the design process of mechanical or electrical devices it is often necessary to consider multiple objectives. The design problem can then be formulated as multi-objective optimization problem. Multiple objectives can be conflicting and to pick a design solution a trade-off between those is required. A good trade-off is important for a successful product. Different decision making methods are available aiming towards a successful design trade-off; a commonly used method is the VIKOR method. This paper focuses on aspects of this method and reveals some weaknesses. However, a different normalization method is introduced that overcomes these aspects. Next, a minimum weight margin is established that gives information about the stability of a design solution picked by the VIKOR method. The weight margin is helpful for elucidating the decision maker's uncertainty in the original weight assignment. The modified VIKOR method is then applied to the design of a wearable body sensor network and the design of an EEG electrode. The two design examples show the strength of the new modified VIKOR method resolving shortcomings by the original VIKOR method. Finally, the modified VIKOR method is compared with the theory of fuzzy measures and integrals as a multi-criteria decision making method. [ABSTRACT FROM AUTHOR]

This study aims to analyze and obtain empirical evidence about the influence of the use of Mobile Banking by students of the accounting study program as generation z through interest. This research was conducted at the Majapahit Islamic University, Mayjen Sungkono University, and STIE Al-Anwar. The data used in this study used a questionnaire. The sampling method used convenience sampling. The number of samples collected was 90 students. The data analysis techniques used by the researchers were descriptive statistics and inferential statistics. To analyze the data, we use Partial Least Square (PLS). PLS-SEM analysis uses the outer model and the inner model. The results of the study prove that the benefit variable does not affect the attitude variable. The convenience variable and the attitude variable have a significant positive effect on interest. Attitude variables do not affect the decision process variables of Accounting study program students in using Mobile Banking. Attitude variables have a significant positive effect on the decision process variables of students in the Accounting study program in using Mobile Banking through the interest variable.

With the increasing demand for interior landscapes, sustainable interior landscape design (SILD) has become part of a desirable lifestyle. However, consumer attitudes and a lack of consciousness and understanding of SILD have led to potentially negative impacts on design decisions regarding the use of sustainability in SILD. This study recruited 405 stakeholders to explore the relationships among value cognition, risk attitude, and decision intention. The value–attitude–behavior (VAB) model method was adopted to evaluate stakeholders' cognitions and attitudes toward sustainable design and factors that influence sustainable design practices. The results demonstrated a positive correlation between multistakeholders' value cognition, risk attitude, and SILD decisions. The relationship between value cognition and SILD decision intention is mediated by risk attitude. Furthermore, the value cognition of multistakeholders impacts risk attitude on the practice of SILD, thus changing design decisions. These findings provide insights into the sustainability of interior landscapes and design, particularly in terms of addressing diverse needs within multistakeholder practices. [ABSTRACT FROM AUTHOR]

Regulations for the control of air-pollutant emissions from ships within pollutant emission control areas (ECAs) have been issued for several years, but the lack of practical technologies and fundamental theory in the implementation process remains a challenge. In this study, we designed a model to calculate the nitrogen-oxide-emission intensity of ships and the sulfur content of ship fuels using theoretical deduction from the law of the conservation of mass. The reliability and availability of the derived results were empirically evaluated using measurement data for NOx, SO2, and CO2 in the exhaust gas of a demonstration ship in practice. By examining the model and the measured or registered fuel-oil-consumption rates of ships, a compliance-determination workflow for NOx-emission intensity and fuel-sulfur-content monitoring and supervision in on-voyage ships were proposed. The results showed that the ship fuel's NOx-emission intensity and sulfur content can be evaluated by monitoring the exhaust-gas composition online and used to assist in maritime monitoring and the supervision of pollutant emissions from ships. It is recommended that uncertainties regarding sulfur content should be considered within 15% during monitoring and supervision. The established model and workflow can assist in maritime monitoring. Meanwhile, all related governments and industry-management departments are advised to actively lead the development of monitoring and supervision technology for ship-air-pollutant control in ECAs, as well as strengthening the quality management of ships' static data. [ABSTRACT FROM AUTHOR]

In a globalized world, the expatriate community continues to expand. Selecting trustworthy healthcare providers is fundamental for their adaptation to a new country. Through interviews and a survey, this paper adds to the literature by theoretically discussing and empirically analyzing the decision process of a cross-cultural sample of expatriates in Dubai. It focuses on evaluating the role of two cues: Country of Origin (COO) and Word of Mouth (WOM). The findings show personal WOM is the most influential factor. The paper also explores the effect of expatriates' origin (developed vs. emerging countries) and their levels of fluency in English. [ABSTRACT FROM AUTHOR]

We study the value of divergence in values and preferences in organizations by combining three stages of a decision process—ex ante information acquisition, interim project choice, and ex post project execution—into a tractable model. A key insight is that our unified model provides predictions different from models without the execution decision stage. We consider an organization that consists of a decision maker who selects a project and an implementer who acquires costly information before project choice and executes the selected project. They have intrinsic and possibly divergent preferences over projects. We show that, although the implementer's dual role generates a disadvantage of designing conflicts in terms of the implementation motivation, it simultaneously boosts the implementer's motivation for information acquisition to influence the decision maker's project choice more under divergent preferences. Our results provide managerial insights that designing conflicts is beneficial only in environments where additional information is sufficiently precise and must be accompanied by a manager who is balanced and incorporating feedback. This paper was accepted by Joshua Gans, business strategy. Funding: This work was financially supported by Japan Society for the Promotion of Science (JSPS) KAKENHI [Grants 25245031 and 18H03640] toH. Itoh and the JSPS Fellows [Grant 26.5608] to K.Morita. Supplemental Material: The online appendix is available at https://doi.org/10.1287/mnsc.2022.4373. [ABSTRACT FROM AUTHOR]

Copyright of Ad-gnosis is the property of Ad-gnosis Journal and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

This study explored the pragmatic strategies that advanced L2 learners of Chinese produced in greeting responses (GRs). Data were collected through roleplays and retrospective verbal reports (RVRs) from 11 advanced learners of Chinese who were studying in China. To obtain comparison data, 20 Chinese students were recruited to complete the same roleplays. The GRs were coded into openings, head acts and closings, and classified into ten strategies: phatic phrases, address terms, corresponding answers, reciprocal compliments, disagreeing, seeking confirmation, thanking, reciprocity questions, introducing another topic and reasons. The findings revealed that compared with Chinese native speakers (NSs), advanced learners produced non-target-like GRs, although their GRs were acceptable based on two NSs' evaluation. The RVR data indicated that the learners' non-target-like GRs might result from their idiosyncratic perceptions of Chinese greetings, pragmatic knowledge deficits, effects of instruction and learner agency. Implications for future research and teaching Chinese pragmatics are also discussed. [ABSTRACT FROM AUTHOR]

Altruism is critical for cooperation and productivity in human societies but is known to vary strongly across contexts and individuals. The origin of these differences is largely unknown, but may in principle reflect variations in different neurocognitive processes that temporally unfold during altruistic decision making (ranging from initial perceptual processing via value computations to final integrative choice mechanisms). Here, we elucidate the neural origins of individual and contextual differences in altruism by examining altruistic choices in different inequality contexts with computational modeling and electroencephalography (EEG). Our results show that across all contexts and individuals, wealth distribution choices recruit a similar late decision process evident in model-predicted evidence accumulation signals over parietal regions. Contextual and individual differences in behavior related instead to initial processing of stimulus-locked inequality-related value information in centroparietal and centrofrontal sensors, as well as to gamma-band synchronization of these value-related signals with parietal response-locked evidence-accumulation signals. Our findings suggest separable biological bases for individual and contextual differences in altruism that relate to differences in the initial processing of choice-relevant information.

Nowadays, the exercise of parental authority is regulated by the government in order to protect « children at risk ». Once they are entrusted to child welfare, judges have to evaluate if children can be sent home or should instead, stay in foster care. But, how can a judge determine if children are still at risk in their family while they do not live there anymore ? This article depicts the collective process of the renewal of an order to place a child in foster care by examining two central tools of the judicial process : the social report sent to the judges and the hearing. Using the method of policy ethnography, the paper shows how the court decision results from the collective construction of the way to judge the children and their parents. In this process, their voices have little chance to be heard otherwise than by being mediated by institutional discourses.

This study aims to analyze and obtain empirical evidence about the influence of the use of Mobile Banking by students of the accounting study program as generation z through interest. This research was conducted at the Majapahit Islamic University, Mayjen Sungkono University, and STIE Al-Anwar. The data used in this study used a questionnaire. The sampling method used convenience sampling. The number of samples collected was 90 students. The data analysis techniques used by the researchers were descriptive statistics and inferential statistics. To analyze the data, we use Partial Least Square (PLS). PLS-SEM analysis uses the outer model and the inner model. The results of the study prove that the benefit variable does not affect the attitude variable. The convenience variable and the attitude variable have a significant positive effect on interest. Attitude variables do not affect the decision process variables of Accounting study program students in using Mobile Banking. Attitude variables have a significant positive effect on the decision process variables of students in the Accounting study program in using Mobile Banking through the interest variable. [ABSTRACT FROM AUTHOR]

Over the past decade, moral judgments and their underlying decision processes have more frequently been considered from a dynamic and multi-factorial perspective rather than a binary approach (e.g., dual-system processes). The agent’s intent and his or her causal role in the outcome–as well as the outcome importance–are key psychological factors that influence moral decisions, especially judgments of punishment. The current research aimed to study the influence of intent, outcome, and causality variations on moral decisions, and to identify their interaction during the decision process by embedding the moral scenarios within an adapted mouse-tracking paradigm. Findings of the preregistered study (final 'n' = 80) revealed main effects for intent, outcome, and causality on judgments of punishment, and an interaction between the effects of intent and causality. We furthermore explored the dynamics of these effects during the decision process via the analysis of mouse trajectories in the course of time. It allowed detecting when these factors intervened during the trial time course. The present findings thus both replicate and extend previous research on moral judgment, and evidence that, despite some ongoing challenges, mouse-tracking represents a promising tool to investigate moral decision-making.

This research paper covers the way in which landscape delimitation is carried out in a historic urban area context. Landscape delimitation, in this case, explores the relationship between landscape considerations in the urban and heritage planning system in Algeria. The characterisation of the historic urban landscape is challenged by various types of values. The landscape assessment of the central urban historic area of Algiers was focused on its beauty configuration using the AHP multi-criteria method, supported by values obtained through GIS. Various delimitation alternatives of the historical urban landscape are assessed. Distinctive landscapes emerge, moving away from the original historic urban landscape, which is strictly related to the context of the casbah. Spatial landscape delimitation is the means by which the connecting values of the landscape and their interconnections are managed by monitoring problems of fragmentation and ensuring their interaction at the different boundaries. Urban planning must necessarily incorporate landscapes boundaries into the decision-making processes for the conservation of value connections and managing its beauty configuration.

Background: Among musculoskeletal disorders, lumbar degenerative disease (LDD) is the leading cause of total disability-adjusted life years globally. Clinical guidelines for LDD describe multiple treatment options in which shared decision making becomes appropriate. Objectives: To explore the relationships among measures of decision antecedents, process, and outcomes in patients with LDD. Methods: Patients with LDD were recruited from outpatient clinics in a teaching hospital in Taiwan and administered surveys to collect measures of decision antecedents, processes, and outcomes. Multiple linear regression was conducted to assess the association between decision antecedents and the decision making process. Hierarchical linear regression was conducted to assess the relationships among decision antecedents, the decision making process, and decision outcomes. Results: A total of 132 patients (mean age, 61 years) completed the survey. After adjustment for personal factors, 2 decision antecedents (namely, decision making self-efficacy and readiness) significantly predicted patients' experiences of engaging in shared decision making (SDM). Decision making readiness and process were associated with fewer decisional conflicts and greater decision satisfaction. Limitations: Models derived from cross-sectional surveys cannot establish causal relationships among decision antecedents, decision making processes, and decision outcomes. Conclusions: Our results support the SDM framework, which proposes relationships among decision antecedents, the decision making process, and decision outcomes. [ABSTRACT FROM AUTHOR]

This article examines the effect of option framing and cognitive load on consumer choices of tourism services. Previous literature has shown that consumers tend to choose more options and spend more money when they begin the choice process from a complete set of options (downgrade/delete framing) than when they start choosing from a more basic set of options (upgrade/add framing). To exam this irrational behavior, we conducted two experimental studies with 561 consumers of leisure travel. The results of the two experiments provided robust evidence on the effect of the downgrade framing strategy on upselling tourism services and revealed that cognitive availability did not prevent consumers from making irrational choices. These findings indicate that decisions involving leisure trips may be even more susceptible than previously thought to cognitive biases and contextual influences due to their emotional and hedonic aspects, extending the existing literature on behavioral economics in tourism. [ABSTRACT FROM AUTHOR]