Quality Of Decisions Research Articles

PENGARUH PROMOSI DAN KUALITAS PRODUK KCA (KREDIT CEPAT AMAN) TERHADAP KEPUTUSAN NASABAH PADA PT PEGADAIAN (PERSERO) UNIT PANARUKAN DENGAN KEPUASAN NASABAH SEBAGAI VARIABEL INTERVENING

From time to time, public demand for credit increases. The PT Pegadaian (PERSERO) financial report stated that turnover and outstanding loans for each type of credit experienced growth from the previous year, thereby increasing capital rental income. This provides an opportunity for PT Pegadaian as an alternative to provide credit services to low-income groups of people who lack credit facilities from bank financial institutions. PT Pegadaian (Persero) provides credit very easily and quickly. One of the credit services provided to the public at pawnshops is a product called KCA. KCA is a superior product that is respected by the public. In general, the aim of this research is to describe, prove and analyze the influence of promotions and KCA product quality on customer decisions through customer satisfaction at PT Pegadaian (Persero) Panarukan Unit. The variables used are promotion, KCA product quality, satisfaction and customer decisions. The type of research is quantitative research. The research sample was collected using a purposive sampling method of 105 customers who had chosen more than one KCA product. The analysis tool used is path analysis. After conducting path analysis, it was found that promotion and product quality had a significant direct and indirect effect on customer decisions through satisfaction.

دراسة العلاقة بين ثقافة المخاطر واتخاذ القرار في القطاع الشبه حكومي في المملكة العربية السعودية بالتطبيق على الهيئة العامة للأوقاف

The study aimed to identify the relationship between risk culture with its dimensions (implementation of risk management policies and procedures, level of risk awareness) and decision-making with its dimensions (quality of decisions made, support of top management) by applying it to the General Authority for Awqaf as a semi-government sector. The study also sought to assess the level of employees’ awareness in the Authority of the importance of risk management through examining the study dimensions and the relationship between the two variables (risk culture and decision-making). This research followed the descriptive-analytical approach and utilized a questionnaire as a tool for collecting primary data. The study population consisted of employees at the General Authority for Awqaf, totaling 500 participants. A random sample of 217 individuals was studied, and the data analyzed using SPSS and Excel software, employing various statistical methods to test the research hypotheses. The main findings of the research included the following: In the risk culture dimension, the application of risk management policies and procedures received an overall mean of 4.0285 and a standard deviation of 0.0984, while the level of risk awareness dimension received an overall mean of 4.1522 and a standard deviation of 0.1308. In the decision-making dimension, the quality of decisions made received an overall mean of 4.0285 and a standard deviation of 0.0984, while the support of top management dimension received an overall mean of 4.0199 and a standard deviation of 0.92582. The study also found a statistically significant positive relationship between risk culture and decision-making across their respective dimensions. Among the key recommendations of the study were providing the necessary support for risk management from top management to facilitate the implementation of policies and procedures within the organization, ensuring commitment across all management levels, developing a comprehensive strategy to support risk culture within management strategies, as this approach will help unify the vision and enhance integration among departments, thus achieving organizational goals more effectively, and encouraging the utilization of risks as growth opportunities, which would enhance institutional performance.

Why do older adults stop cancer screening? Findings from the Medicare Current Beneficiary Survey.

Prostate and breast cancer screening are prevalent among older adults, even among those unlikely to benefit. We aimed to evaluate why older adults stop cancer screening, including the role of physician recommendations. We used nationally representative data from the 2019 Medicare Current Beneficiary Survey (MCBS). We included women aged 76 and older without a history of breast cancer and men aged 71 and older without a history of prostate cancer. The primary outcome was reason for discontinuing screening, categorized as follows: (1) physician recommendation against screening; (2) absence of a recommendation to screen; and (3) patient-driven reason, such as patient preferences or beliefs. We evaluated reasons for screening discontinuation by health status and educational attainment using age-stratified multinomial logistic regression. The sample included 7350 participants representing a weighted population of 22,498,715. Overall, 53% of women underwent screening mammography in the past year or intended to continue screening. Among those who stopped screening, 5% reported a recommendation to stop screening from their doctor, 48% reported no recommendation, and 32% reported a patient-driven reason for cessation. Findings did not differ by educational attainment or health status, including among the oldest patients. For men, 61% were screened with PSA in the past year or intended to continue. Among those who stopped, 3% reported a recommendation against screening, 54% reported no recommendation, and 27% reported a patient-driven reason for cessation. Men with higher educational attainment were more likely to report that their physician recommended against screening (4% vs. 1%, p = 0.01) and that their doctor did not recommend screening (58% vs. 47%, p = 0.01). Reasons for screening cessation did not differ by health status, including among the oldest patients. Cancer screening remains common, even among those with limited potential for benefit, but discussions around screening cessation are rare. Improving communication between patients and physicians may improve screening decision quality.

Maintaining Accuracy While Reducing Effort in Online Decision Making: A New Quantitative Approach for Multi-Attribute Decision Problems Based on Principal Component Analysis

This paper explores consumer decision making, particularly focusing on the increasing prevalence of choices on the Internet such as online shopping. Examining the fundamental question of how individuals decide how to decide, our paper draws upon the effort–accuracy framework. This framework indicates that people typically consider both the cognitive effort associated with employing a specific decision strategy and the decision quality (i.e., accuracy) implied by using a particular strategy. However, decision strategies with high accuracy imply high effort. Empirical evidence shows that people often use decision strategies that require little effort. As a result, accuracy is often not high. Against this backdrop, this paper introduces a quantitative approach leveraging principal component analysis (PCA) as a decision support tool. Based on a simulation study, the approach demonstrates that it is possible to maintain high accuracy with significantly reduced effort in multi-attribute decision situations where attribute information is available in a quantitative format. This demonstration is based on the example of two decision strategies, which are both theoretically and practically highly relevant: the multi-attribute utility model (MAU) and the elimination-by-aspects strategy (EBA). By employing PCA for dimensionality reduction, the approach becomes particularly advantageous for online shops and online comparison portals, presenting users with concise yet accurate information. It is important to emphasize that our PCA approach is designed for data with a natural ordering, primarily focusing on quantitative variables. Consequently, decision situations where qualitative variables (e.g., product design or color) play a role in the decision-making process will need further exploration in future studies. However, we present a first solution to this problem so that our approach, based on this solution, can be implemented by online shops and online comparison portals in the near future.

Research on the Optimization Path of Strategic Cost Management under the Background of the Digital Economy

Under the background of the digital economy, the research on the optimization path of strategic cost management for enterprises is particularly important. This paper discusses key paths such as data-driven cost management systems, intelligent cost control, and collaborative cost management, revealing the profound impact of the digital economy on corporate cost management and proposing a series of optimization strategies. The data-driven cost management system requires enterprises to establish comprehensive data collection and analysis mechanisms, using big data and advanced analytical tools to achieve real-time monitoring and dynamic analysis of costs. This not only improves the accuracy of cost management but also enhances the enterprise's ability to respond to market changes. Secondly, the implementation of intelligent cost control, through automated and predictive cost management, enables enterprises to more effectively control and predict cost changes, thereby improving the efficiency of resource allocation and the quality of cost management decisions. Furthermore, the development of collaborative cost management emphasizes the synergy between internal departments of enterprises and with external partners. By breaking down information silos and promoting resource sharing and business collaboration, enterprises can achieve cost optimization throughout the entire value chain.

How Do Paediatricians Manage Comfort with Uncertainty in Clinical Decision-Making.

While healthcare practice is inherently characterised by uncertainty, there is a paucity of formal curricular training to support comfort with uncertainty (CWU) in postgraduate training. Indeed, some evidence suggests medical training inherently conflicts with CWU in emphasizing pedagogies focussing on "fixing" the problem. While referral patterns increase significantly, dealing with uncertainty has direct implications for patient referral rates and use of valuable healthcare resources. Paediatricians in Ireland were invited to participate. Face-to-face interviews were conducted after participants watched videos of varied clinician-patient interactions.. Two researchers independently analysed the collected data using thematic analysis. Triangulation and member checking was performed to ensure validity of findings. A reflection journal documented the research journey. Thirty four paediatricians participated. Five themes were identified: the interplay between quality of information, uncertainty and decision-making, confidence in clinical assessment and first-hand patient evaluation, anxiety and fear experienced by medical professionals when dealing with complex and serious conditions, strategies employed by medical professionals in managing their own uncertainty and the impact of societal and parental expectations on medical decision-making. These are moderated by a number of factors, most significantly the child's caregivers' comfort with doctors reassurance (CDR). Enacted management will diverge from the consultant's clinical plan when the caregiver's CDR cannot be satisfactorily supported. Clinician CWU in the paediatric context is inextricably linked to caregiver CDR. The complexities and central importance of social context in understanding CWU has important implications for how we develop educational activities to support clinician CWU and patient/care-giver CDR. This may translate to efficient use of limited resources in healthcare settings.

Algorithm aversion during disruptions: The case of safety stock

Algorithm aversion occurs when organizations or individuals reject optimal analytical decision support in favour of informal, subjective decisions. This phenomenon has been observed in many practical decision-making scenarios and is generally believed to negatively impact decision quality. However, its existence and effect in volatile supply chain environments has not been empirically tested in the literature. Safety stock buffering demand volatility is an important decision in supply chain management, making it an ideal lens to observe algorithm aversion. In this paper, we empirically investigate algorithm aversion behaviour in the context of safety stock settings. We collect data from a case retail company across a range of stockkeeping units (SKUs), encompassing both pre-disruption and post-disruption time stages with varying levels of volatility. We introduce a simulation model to determine whether algorithm aversion exists for safety stock decisions and to assess how algorithm adoption and adaptation affects performance. Our findings indicate that algorithm aversion occurs during supply chain disruptions, with algorithmic decisions significantly outperforming human judgment. Based on interview results and theories of information systems, we propose a theory to explain and generalize the above findings. This theory attributes algorithm aversion behaviour to reduced sense of fitness among algorithm users and lack of slack resources for both users and developers. It also offers insights into how the adoption and adaptation of algorithms influence decision performance during disruptive events.

MANAGING PERSONAL SELLING ACTIVITIES IN A MODERN ENTERPRISE

Proper management is necessary for the selling function to survive effectively and efficiently in the organizational structure of an enterprise. By managing sales, i.e. sales force, the enterprise strives to accomplish the ‘-proclaimed’ goals and strategy. Within organizational sales, personal selling activities are also subordinated to managerial competencies (managers, directors, etc.), which are hierarchically positioned and have formal responsibilities. This paper aims to explain the process of personal selling management in an enterprise under the influence of current market conditions and global trends. The paper points out that there have been significant changes in the attitude towards work, management method, applying sophisticated tools, designing planning and strategic tasks, using information, etc. Today, a sales manager must possess the skill of making the right quality decisions, manage staff in an efficient and convincing way, have a sense of communication, clear the way for creativity and successfully solve problems.

The experience of surrogate decision-making and deciphering critically ill patient values: A qualitative study.

Surrogate decision-makers (SDMs) who make decisions for critically ill patients often face great challenges. Although shared decision-making has been advocated, its implementation has been less than satisfactory. To explore the experience of the surrogate decision-making process and determine how SDMs understand the values and preferences of critically ill patients. A constructivist qualitative study was used. The data were collected using semistructured interviews with four questions conducted between January and February 2023. The audio recordings were transcribed verbatim and analysed via thematic analysis. Fourteen SDMs (all family members) of 10 critically ill patients were recruited according to the inclusion criteria. We identified eight sub-themes that were classified into three themes: (a) the unbalanced act: no respite for the surrogates, conflict between rationality and emotion, and sacrifice in surrogate decision-making; (b) unclear values and preferences: ignored values, intentional silence and substituted values; and (c) unsatisfying surrogate decisions: decision regret and decreased surrogate decision-making self-efficacy. These findings underscore the urgent need for enhanced communication strategies and support systems to better assist SDMs in navigating their roles. Effective interventions could help clarify patients' values and preferences, thereby improving the decision-making process and outcomes for both SDMs and patients. Misalignment between patient values and those of SDMs can potentially degrade the quality of decision-making. Clinicians should be skilled in stimulating SDMs to think about patient values and preferences.

Skewness impact through distributional evaluation (SITDE) method: a new method in multi-criteria decision making

In this article, we propose the Skewness Impact Through Distributional Evaluation (SITDE) method for multi-criteria decision-making. Unlike traditional methods ignoring criteria distribution asymmetry, SITDE enhances the decision quality. We use a case-study on electric vehicle selection to illustrate the efficiency of SITDE relative to conventional methods. The comprehensive decision support with SITDE across multiple thresholds is an important aspect of a detailed and balanced decision-making virtue as our results show in case the skewness effects are included. Theoretical backgrounds, typologies practical applications and statistical justifications to confirm the accuracy of SITDE in regarding to limit complexities MCDM scenarios are explained this paper. SITDE enhances a robust decision-making process by accounting for the inherent biases of symmetric assumption models. Moreover, SITDE proves to be extremely useful in cases for dealing with asymmetrical data distributions and skewed datasets humanitarian cause as infected situations are always overwhelming. This broad applicability indicates the potential for wider use with respect to different domains, such as in environmental management and financial risk assessment. Future studies should investigate the adequacy or insufficiency of its fusion with different MCDM methods and explore if this approach would apply a more efficient and valid insight that might enhance decision making in multiple sectors.

A Machine Learning Framework for Assessing Experts’ Decision Quality

Expert workers make non-trivial decisions with significant implications. Experts’ decision accuracy is, thus, a fundamental aspect of their judgment quality, key to both management and consumers of experts’ services. Yet, in many important settings, transparency in experts’ decision quality is rarely possible because ground truth data for evaluating the experts’ decisions is costly and available only for a limited set of decisions. Furthermore, different experts typically handle exclusive sets of decisions, and thus, prior solutions that rely on the aggregation of multiple experts’ decisions for the same instance are inapplicable. We first formulate the problem of estimating experts’ decision accuracy in this setting and then develop a machine–learning–based framework to address it. Our method effectively leverages both abundant historical data on workers’ past decisions and scarce decision instances with ground truth labels. Using both semi-synthetic data based on publicly available data sets and purposefully compiled data sets on real workers’ decisions, we conduct extensive empirical evaluations of our method’s performance relative to alternatives. The results show that our approach is superior to existing alternatives across diverse settings, including settings that involve different data domains, experts’ qualities, and amounts of ground truth data. To our knowledge, this paper is the first to posit and address the problem of estimating experts’ decision accuracies from historical data with scarce ground truth, and it is the first to offer comprehensive results for this problem setting, establishing the performances that can be achieved across settings as well as the state-of-the-art performance on which future work can build. This paper was accepted by Anindya Ghose, information systems. Funding: T. Geva acknowledges research grants from the Jeremy Coller Foundation and from the Henry Crown Institute for Business Research. Supplemental Material: The online appendix and data files are available at https://doi.org/10.1287/mnsc.2021.03357 .

Justice as a means of ensuring of the rule of law principle implementation

The article examines the factors that determine the content and essential aspect of justice epistemology results. It was noted that in the conditions of globalization and integration processes, there is a necessity to create an effective justice system that would guarantee compliance with human rights and freedoms, ensure justice and legitimacy of state power. Justice itself acts as a key tool for the rule of law principle implementing, as it is designed to ensure the equality of all before the law, the independence of the judiciary and effective protection of rights and legitimate interests. The key historical, political, economic and European integration factors determining the state of the epistemology of the judicial system in Ukraine have been established and characterized. Attention is focused on the consequences of the soviet past, including distrust of the judicial system and a low legal culture. The influence of political factors is considered and relevant examples are given; the consequences of these factors for justice are indicated. Economic factors increasing corruption risks are analyzed. The importance of European integration processes in reforming the judicial power is covered separately. Attention is focused on the importance of the independence of courts, access to justice and the quality of court decisions as key elements of implementing the rule of law principle. The role of justice in the legal culture formation and equality before the law ensuring is also considered. Provisions reflecting the role of justice in ensuring the rule of law are indicated: protection of human rights and freedoms; ensuring equality of all before the law; interpretation and application of the law; control over the legality of state authorities’ activity; formation of legal culture. It is summarized that justice plays a central role in ensuring the implementation of the principle of the rule of law by ensuring the independence of courts, access to justice for all citizens, high quality of court decisions and their effective implementation. All these elements are an integral part of a law-based state, where the rule of law is the basic principle of society and the state functioning.

Risk Analysis of Mortgage Loan Default for Bank Customers and AI Machine Learning

Abstract Risk Analysis of Mortgage Loan Default for Banks is a crucial issue. On one hand, it concerns the quality of the bank's credit decisions, and on the other hand, it affects the rights of homebuyers to obtain financial support. In 2008, the U.S. subprime mortgage crisis sparked a global financial meltdown. What began with the collapse of the housing market quickly spread throughout the global financial system, resulting in the failure of numerous banks and a widespread economic recession. Recently, the banking sector has increasingly leveraged Artificial Intelligence (AI) and Machine Learning (ML) to enhance decision-making processes, particularly in assessing the risk of mortgage loan defaults. This paper aims to explore the application of ML techniques to predict and analyze the risk of default among bank customers, thereby enabling financial institutions to make more accurate and informed lending decisions. Keywords: Mortgage Loan Default Risk Analysis AI ML K-MANS LTV.

THE INFLUENCE OF SERVICE QUALITY AND PRICE ON PURCHASE DECISIONS IN CLOTHING STORES AT PARUNG MARKET

This study aims to identify the influence of service quality and price on the purchase decisions of clothing at stores in Parung Market, both partially and simultaneously. The research is associative and quantitative, with consumers of Parung Market stores as the subjects. The sample consists of 90 individuals selected using Slovin’s formula. Data collection was done through questionnaires, and the data were analyzed using various tests, such as validity and reliability tests, classical assumption tests, linear regression, correlation coefficient, determination coefficient, and partial and simultaneous hypothesis testing. All analyses were performed using SPSS version 25. The results show that service quality affects purchase decisions, with a positive relationship demonstrated by the regression equation. The correlation coefficient indicates a fairly strong relationship between service quality and purchase decisions. In addition, price has a significant influence on purchase decisions, with a higher correlation coefficient compared to service quality. Simultaneously, both service quality and price together influence purchase decisions. This relationship is strengthened by the high and significant correlation coefficient. The conclusion of this study is that both service quality and price, individually or together, play an important role in influencing consumer purchase decisions at Parung Market.

CONSUMER CONFUSION AND ITS IMPACT ON DECISION MAKING AMONG FEMALE CONSUMERS IN INDONESIA’S ONLINE COSMETICS AND PERSONAL CARE INDUSTRY

This study examines consumer confusion and its impact on decision-making among female consumers in Indonesia's online cosmetics and personal care industry. With the rise of online shopping due to its convenience and extensive product information, consumer confusion—defined as the inability to correctly interpret various aspects of product information—has become a significant issue. A mixed-method approach was used, combining quantitative surveys and qualitative interviews. Data was collected through an online survey and analyzed using PLS-SEM, followed by semi-structured interviews that were manually coded through open, axial, and selective coding. The findings reveal that informational sources—overload, similarity, and ambiguity positively impact overall consumer confusion. Additionally, utilitarian decision-makers show higher levels of confusion compared to hedonic decision-makers. Previous brand experience was found to mitigate the negative effects of overload and ambiguity confusion on decision quality and enhance decision quality in the case of similarity confusion. Furthermore, overload and ambiguity confusion negatively impacts decision quality, whereas similarity confusion shows a positive impact. Finally, all informational sources of confusion positively impact decision postponement and cognitive dissonance. This study extends existing knowledge in marketing and consumer behavior, particularly regarding consumer confusion in the cosmetics sector. It offers practical insights for companies and brand managers to develop strategies that reduce consumer confusion, such as simplifying decision-making processes, providing clear product information, and leveraging previous brand experiences. These strategies aim to enhance decision quality, reduce decision postponement, and mitigate cognitive dissonance among consumers. Finally, the study suggests directions for future research in consumer confusion.

ПРОЦЕСНО-ОРІЄНТОВАНИЙ ПІДХІД ДО ОБЛІКУ ВИТРАТ Й КАЛЬКУЛЮВАННЯ СОБІВАРТОСТІ ПРОДУКЦІЇ ПІДПРИЄМСТВ З ВИРОБНИЦТВА ЗБІРНИХ ЗАЛІЗОБЕТОННИХ КОНСТРУКЦІЙ

Costs are one of the most important economic categories, and production costs are the main indicator of construction materials industry enterprises activity. In today's difficult business conditions for Ukrainian enterprises, taking into account the specifics of the production process of companies producing prefabricated reinforced concrete structures, constant monitoring of production costs helps to maintain the profitability and competitiveness of these business entities. Therefore, the development of management tools and cost accounting using a process-oriented approach for enterprises producing building materials allows taking into account all the features of production processes influencing the size and behavior of costs. The purpose of the article is to reveal and improve the features of cost accounting and costing of products according to production processes at enterprises producing precast reinforced concrete structures. The article analyzes the main directions of classification of production processes at enterprises of the production of prefabricated reinforced concrete structures and its influence on the organization of accounting. The directions for grouping costs in production processes are detailed and attention is focused on its impact on accounting and control of the costs. This will affect the quality of management decisions and the main performance indicators of the enterprises under study. In the process of research, the main foreign methods of accounting for costs and calculating the cost of products in production processes, which are possible for use at enterprises of the production of precast reinforced concrete structures, were determined. It was found that the ABC-costing method is the most acceptable from the point of view of the technological process of manufacturing products of the studied enterprises. Its combination with the regulatory method of cost accounting and product costing will provide significant opportunities for strategic planning of production costs, will contribute to the accuracy of product costing, and will improve the process of management decision-making.

Complex Decision-Making in Paediatric Intensive Care: A Discussion Paper and Suggested Model.

Paediatric Intensive Care Units (PICU) are complex interdisciplinary environments where challenging, high stakes decisions arefrequently encountered. We assert that appropriate decisions are more likely to be made if the decision-making process is comprehensive, reasoned, and grounded in thoughtful deliberation. Strategies to overcome barriers to high quality decision-making including, cognitive and implicit bias, group think, inadequate information gathering, and poor quality deliberation should be incorporated. Several general frameworks for decision-making exist, but specific guidance is scarce. In this paper, we provide specific guidance on collaborative complex decision-making for PICUs. The proposed approach is on principles of procedural justice and pragmatic hermeneutics. The process encompasses set-up/planning, information gathering, question formulation, analysis (perspectives, values, and principles), action plan development, decision documentation, and a review and appeal mechanism.The process can be adapted to suit other clinical contexts. Research evaluating the process, exploring how best to develop education for clinicians, and how to build a culture that values high quality deliberation, is worthwhile.

Multigroup Analysis on Live Selling Purchase Intention in E-Commerce Platform: The Role of Relational Bonds, Language Attitude and Streamer Ability to Achieve the Sustainable Development Goals

Objective: The study aims to analyze the effect of relational bonds and language attitude on streamer ability and live selling purchase intention to achieve the Sustainable Development Goals (SDG)). It also seeks to reveal the differences in test results between two groups: printed Batik consumers and hand-written Batik consumers. Theoretical Framework: This study employs the theories of relational bonds, language attitude, streamer ability, and live selling purchase intention. Method: This research is a quantitative study that uses convenience sampling with 220 respondents who are consumers of both printed and hand-written Batik. Data is analyzed using a Structural Equation Model (SEM) with Smart-PLS. The analysis includes a multigroup analysis to compare the effects between the two groups. Results and Discussion: The results of the analysis show that the relational bonds and the language attitude of the costumer have a positive effect on the streamer ability and live selling purchase intention to achieve the Sustainable Development Goals (SDG). The results of the multi-group analysis indicate differences in the analysis between printed Batik consumers regarding the effect of language attitude on streamer ability and the effect of relational bonds on live selling purchase intention. Research Implications: This study proposes several efforts to increase Batik sales, particularly through digital platforms capable of reaching a wider market share. Originality/Value: The study highlights how cultural products like Batik can be marketed effectively through digital platforms, emphasizing the role of cultural authenticity and quality in consumer decision-making to achieve the Sustainable Development Goals (SDG).

Evaluative Performance Program E-Tilang di Simpang Raya Kota Surabaya

ETLE (Electronic Traffic Law Enforcement) is a set of electronic devices that use Automatic License Plate Recognition (ANPR) technology in the form of cameras that automatically detect motorized vehicles and cars with traffic violations E-TLE system, which is part of law enforcement efforts, this system aims to reduce problems caused by traffic violations, such as congestion and accidents, and ensure order on the highway. The e-Tilang system was pioneered by the East Java Regional Police, especially the Surabaya Police, which has this innovation as a crucial role in improving safety and regularity of electronically based traffic, the implementation of ETLE tickets in Surabaya City has increased in 2022 and 2023 compared to 2021. Which in 2021 the ETLE program was intensified due to the Covid-19 pandemic in order to increase the efficiency of technology-based services. The ETLE camera system uses CCTV cameras that are monitored directly by Police Officers with a total of 22 monitoring camera points in several parts of Surabaya City. where each officer oversees 4 areas with 8 CCTVs on the monitoring screen. Although it has had a positive impact on the implementation of ticketing, there are many things that should be evaluated from the process of running E-TLE at Surabaya Police Station. Mainly in the process of implementing and providing maximum fines, as well as the limited number of employees and time in ETLE supervision. So that the Process on Performance and the Facilities used should be evaluated in the running of the ETLE system in Surabaya City. The method used in this research is descriptive qualitative. The focus of this research is to find out the results of the Evaluation of the E-Ticket Policy Program (E-TLE) at the Surabaya City Road Intersection The theory used in the research is Gupta & Jana's Evaluative performance theory. There are 4 indicators from this theory, namely total costs and fines, quality of planning and control, quality of decision making and system characteristics. The data collection technique in this study is by conducting interviews, observation and documentation. In this research, from these 4 indicators, some are quite appropriate, but there are still many shortcomings that should be evaluated from the system and the quality of performance of the Surabaya police litas unit. The performance evaluation of the E-Tilang program in Surabaya shows success in managing total costs and fines, the quality of planning and control, and the quality of decision making. This program includes the use of 40 CCTV camera units and fiber optic networks that support the effectiveness of law enforcement, as well as the management of fair fines. Careful planning and better coordination after the evaluation ensured efficiency in recording violations using gadgets and the E-Tilang application.

Five guidelines to improve context-aware process selection: an Australian banking perspective

PurposeSelecting which processes to improve plays a critical role in the first phase of the business process management lifecycle, but it is a step with known pitfalls. Decision-makers rely on subjective criteria and their knowledge of the alternative processes put forward for selection is often inconsistent. This leads to poor quality decision-making and wastes resources. The purpose of this paper is to examine the proposition that decision-makers armed with context-enriched criteria make more logical, better-quality decisions. The context in question is qualitative, sensitive to decision-making bias and politically charged.Design/methodology/approachWe applied a design-science approach, engaging 70 industry decision-makers through a combination of research methods to assess how different contextual configurations, in a hypothetical scenario adapted from the Australian banking industry, influenced and ultimately improved the quality of the process selection step.FindingsThe study highlights the impact of framing effects on context, and the need to adapt framing to decision-maker behavior and provides five guidelines to improve process selection effectiveness.Originality/valueProcess selection research to date has largely focused on quantitative evaluation techniques, with little attention paid to the role of context and the behavioral interplay of decision-making styles in practice.