Questions related to Decision Processes
Can the supervisory institutions of the banking system allow the generative artificial intelligence used in the lending business to make a decision on whether or not to extend credit?
Can the banking system supervisory institutions allow changes in banking procedures in which generative artificial intelligence in the credit departments of commercial banks will not only carry out the entire process of analyzing the creditworthiness of a potential borrower but also make the decision on whether or not to extend credit?
Generative artificial intelligence finds application in various spheres of commercial banking, including banking offered to customers remotely through online and mobile banking. In addition to improving remote channels of marketing communication and remote access of customers to their bank accounts, tools based on generative AI are being developed, used to increase the scale of efficiency, automation, intelligent processing of large sets of data and information on various processes carried out inside the bank. Increasingly, generative AI technologies learned in deep learning processes and the application of artificial neural network technologies to perform complex, multi-faceted, multi-criteria data processing on Big Data Analytics platforms, including data and information from the bank's environment, online databases, online information portals and internal information systems operating within the bank. Increasingly, generative AI technologies are being used to automate analytical processes carried out as part of the lending business, including, first and foremost, the automation of creditworthiness analysis processes, processes carried out on computerized Big Data Analytics and/or Business Intelligence platforms, in which multicriteria, intelligent processing is carried out on increasingly large sets of data and information on potential borrowers and their market, competitive, industry, business and macroeconomic environment, etc. However, still the banking system supervisory institutions do not allow changes in banking procedures in which generative artificial intelligence in the credit departments of commercial banks will not only carry out the entire process of analyzing the creditworthiness of a potential borrower but will also make a decision on whether to grant a loan. Banking supervisory institutions still do not allow this kind of solution or precisely it is not defined in the legal norms defining the functioning of commercial banking. This raises the question of whether the technological advances taking place and the growing scale of applications of generative artificial intelligence technology in banking will not force changes in this area of banking as well. Perhaps, the growing scale of implementation of generative AI into various spheres of banking will contribute to the continuation of the processes of automation of lending activities which may result in the future in generative artificial intelligence making a decision on whether or not to extend credit.
In view of the above, I address the following question to the esteemed community of scientists and researchers:
Can the supervisory institutions of the banking system authorize changes in banking procedures in which generative artificial intelligence in the credit departments of commercial banks will not only carry out the entire process of analyzing the creditworthiness of a potential borrower but will also make a decision on whether or not to grant a loan?
Can the supervisory institutions of the banking system allow the generative artificial intelligence used in credit activities to make the decision on whether or not to extend credit?
Will the generative artificial intelligence applied to a commercial bank soon make the decision on whether to grant credit?
And what is your opinion about it?
What do you think about this topic?
I invite everyone to join the discussion,
Thank you very much,
The above text is entirely my own work written by me on the basis of my research.
In writing this text I did not use other sources or automatic text generation systems.
Copyright by Dariusz Prokopowicz
I hope you also have submitted the paper in the Springer's Famous Journal for Wireless Personal Communication. I have submitted in December 2017 and still the Journal have not found the appropriate reviewers.
Don't you think such Journal Must assure the policy of standard reveiwing and decision making within in proper time. Else such journal must be removed so the researcher won't face problems.
Please suggest and comment your personal expericenes.
Servicescape is of great essential because it affects the overall business service experience which is human emotions likes feel of comfort, happiness, safe, healthy, pleasure, etc.
Do you think the organisation needs servicescape upgrading?
and do you think measuring the return on the intangible impact of servicescape upgrading investment is important and needed? Can you share your opinion?
Will the energy crisis accelerate the pro-climate energy transition and affect the declarations made by countries on this issue at the UN Climate Summit COP27?
Rising fossil fuel and energy prices have become a key factor in the 2022 energy crisis. The energy crisis is particularly serious and burdensome for the public in countries where the level of dependence on foreign supplies of fossil fuels is high, the level of national energy independence is low, diversification of energy sources, including the development of low-cost, renewable and emission-free energy sources is low. This issue has been fostered by years of past ignorance of the climate crisis, which is also being realized, in the context of national energy and environmental policies. Therefore, the current energy crisis can become an important factor motivating decision-makers to take into account pro-climate, pro-environmental issues, green energy transition, sustainable development, increase the scale of diversification of energy sources, independence of the national energy industry, development of low-cost, renewable and zero-carbon energy sources in the context of the conducted national energy policy to increase the scale of energy security. On 6.11.2022 the UN Climate Summit COP27 in Egypt began. At such Climate Summits, individual countries make their pledges to reduce greenhouse gas emissions, planned for implementation by a certain date of green, pro-climate, pro-environmental transformation of the energy sector. Through the development of renewable and emission-free energy sources and their replacement of dirty energy based on burning fossils, it is possible to simultaneously reduce greenhouse gas emissions, contribute to slowing down the progressive process of global warming, reduce the potential negative effects and the scale of future climate catastrophe, and increase the level of diversification of energy sources, reduce the cost of heat and electricity production, increase the level of national independence of the energy sector, increase the level of energy security and thus reduce the scale of the negative impact of the energy crisis. The current energy crisis is probably not the last and the climate crisis will develop for many more years. The question of carrying out a green energy transition is a particularly urgent and important issue in the context of saving the climate, biosphere and biodiversity of natural ecosystems for future generations.
In view of the above, I address the following question to the esteemed community of researchers and scientists:
Will the energy crisis accelerate the pro-climate energy transition and affect the pledges made by individual countries on this issue at the UN Climate Summit COP27?
What is your opinion on this topic?
I invite everyone to join the discussion,
Thank you very much,
My research will be exploring the meaning and experiences of career to women living with young onset dementia. Career is conceptualised as life roles, so not necessarily paid employment. I have been exploring Stakian case study as a methodology and am quite keen to use it, taking a multicase instrumental approach (young onset dementia as the research focus). I propose interviewing the participants (women living with dementia) and using an artefact/ creative activity to gain further perspective and as an alternative to document analysis. I am struggling with how I can include a third data collection method to achieve triangulation and avoid ethical difficulties. Initially I was thinking to interview a 'significant other' to the participant's career but this raises issues of confidentiality and discomfort that have led me to conclude I need a new idea, or change my methodological approach. I would welcome any expert opinions to help this decision process! Thank you.
I think most scholars would agree that effectuation theory formulated by sarasvathy (2001) is still not a mature theory but when do you think it will reach its maturity? How would you compare the development of effectuation theory vs the development of bricolage?
I have co-authored a few articles into the subject: See below.
De-biasing is a term applied in psychology, behavior, and management decision process. Now it has some connection with technology. Technology is used for leveraging on the reduction of impacts of human bias in the decision process. it is having its widespread effects on the consequences on biased work. To articulate application research on debias needs a thorough study. I request friends to supply evidences of such study,
Have you ever had such publishing experience that the editor evaluates your qualitative research according to the rigors of quantitative research?
The editor of one of the journals assessed (negatively) my article containing a qualitative case study research, according to the quantitative research rigor. He stated:
"The analysis falls well short of the rigor required of an academic publication. No evidence is provided about whether the results would generalize to other settings, apparently there were no control groups, there are no statistical tests, the results did not generate enough clicks or sales to have a clear interpretation, etc. "
I have answered (and waiting for reaction):
"...you assessed it according to the rigor of the quantitative research ("no statistical test", "to generalize"), while my research is qualitative ("to identify categories and/or patterns") and implemented according to the procedure suggested by K. Eisenhardt.
Please read the classic article by Bourgeois and Eisenhardt (attached), which analyzes four observations (stories) and doesn't contain tests. Eisenhardt is quoted in almost all articles made with the case study (qualitative) research method. Please rate my article according to the principles of the qualitative research rigor."
Bourgeois LJ, III and Eisenhardt KM (1988) Strategic Decision Processes in High Velocity Environments: Four Cases in the Microcomputer Industry. Management Science, Vol. 34, No. 7 (Jul., 1988), pp. 816-835
Have you ever had such experience when editor or reviewer uses quantitative research rigors to assess a qualitative research?
What is your experience as to publishing the qualitative research?
Suppose the prior group classification of specimens is group 1, and during the classification process through discriminant analysis, very few or almost zero of the specimen fall in group 1. What would be the decision process on those group 1 specimens?
Many approaches propose combined alternatives in this sense. For instance, using logic programing (Prolog), rough sets, and other more joined with models. However, it would be interesting to understand more practical strategies that promote a way of extracting the rules of inferences produced in the tree-based models.
Artificial Intelligence helps develop automated decision systems configuring service features including tailored pricing (incorporating risk assessment) for each customer. Customers request explanations on the automated decision. Such explanations can be logical steps summarizing the machine decision process.
Where is it easiest to start? Use cases where explainability is within reach?
Insurance policy for a car, a house (risk coverage)?
Investment plan matching customer needs and Financials, as a banking product?
Health decision like surgery/no surgery?
I'm looking for some conceptual literature and empirical studies regarding differences between information literacy and information empowerment. In particular, I'm interested in the organizational context, maybe with some cognitive vs. affective paradigm that set conceptual line/boundary between this two concepts.
I have to admit that databases search it did not bring satisfying results and I count on your expert knowledge.
Thank you in advance!
Recently, some work has been done planning and learning in Non-Markovian Decision Processes, that is, decision-making with temporally extended rewards. In these settings, a particular reward is received only when a particular temporal logic formula is satisfied (LTL or CTL formula). However, i cannot find any work about learning which rewards correspond to which temporally extended behavior.
In my searches, i came across k-order MDPs (which are non-Markovian). I did not find RL research done on k-order MDPs.
The AHP method is a robust and flexible MCDM tool for dealing with complex decision problems. This method divides a complicated system into a ierarchical system of elements, which usually includes objectives, evaluation criteria and alternatives. The evaluation criterion level may be composed of various valuation criteria which can be also extended into a multi-layer structure. By weighting various evaluation criteria according to the objectives, as well as the alternatives from the viewpoint of each evaluation criterion, the final scores of the alternatives are determined. The pair-wise comparisons are made of the elements of each hierarchy by means of a nominal scale. Then, comparisons are quantified to establish a comparison matrix, and the eigenvector of the matrix is derived, which signifies the comparative weight amongst various elements of a certain hierarchy. Finally, the eigenvalue is used to assess the strength of the consistency ratio of the comparative matrix and determine whether to accept the information. The conventional AHP method is a quantitative technique, that is, it does not directly allow the DMs to handle decision problems when they may be uncertain about their level of preference due to incomplete information or knowledge, complexity and uncertainty inherent in the decision environment, or lack of an appropriate measure or scale. In these cases, it is easier to determine relative preferences by linguistics values such as “absolutely important, “very strongly important”, “essentially important”, “weakly important” or “equally important” rather than by specific values of an agreed assessments scale. In your opiniion, which method is better in decision-making processes, AHP or FAHP?
How do you aply Spotorno score when facing a hip arthroplasty revision with severe bone defect in proximal femur, how do you rate Singh index in thse cases in the decision process of employing a cemented or non cemented stem?
In the age of AI and Machine learning, almost all activities are getting automated and much faster also.
We always read that judiciary has major challenge of heavy work load and therefore the decision/verdict takes lot of time.
I believe that AI enabled system could greatly help in lowering the impact of workload and fastening the decision process.
Opinions are invited!
I am looking for a data set or source that provides Corporate Social Responsibility (CSR) scores for companies in addition to other firm level variables that potentially explain these scores. My goal is to develop a predictive model to predict CSR scores based on company characteristics. Any references or sources of where I may find such data would be most appreciated.
I want to predict 2013 landuse change based on Markovian stochastic model using CA-MARKOV module.It takes long time, sometimes 24hrs to 3 days. What might be wrong?
I have already run MARKOV module to cross tabulate 2000 and 2006 Landuses. I have suitability maps in Raster group file(each stretched 0-255 integer values), i have also the Markov Transition area file. I am now using 2006 Landuse to predict 2013 Landuse change, where i specified 7 as a Number of Cellular automata iterations, 5 x5 filter.
I have also checked the disk space i have 45GB, RAM is 8GB,
Other computer specifications :Windows7 , Core i3.
Software in Use:IDRISI SELVA v17.00
The process runs well and pass from step 1 to 8, then in step 8 when starts "mola" process, it stays there for so long more 24hrs-5 days, before i terminate it.
Anyone with similar experience? Please help.
Who has the role of "challenging a patient's devision processes" when the patient is hospitalized?
I received a response from reviewers and they asked me to do some revisions. All concerns were addressed and the revised manuscript submitted to the journal. After about 1 year, it has been still stocked in the stage of "decision in process". We have had correspondences with the editorial board of the journal, but no responses received from them up to now!!! So, any idea?
I am conducting an empiric study analysing the effects of VR exposure on the purchasing decision process of travellers. For setting up a research model I just wonder whether anyone know some research on the relationship between telepresence and technology acceptance?
I will be happy to share my results in a few weeks!
I am currently pursuing my research on the employee interview selection process and am trying to understand more about the subjectivity/objectivity involved in that decision making process. I am focusing on 7 different institutions (TAFEs in Australia) that are governed by the same educational system (ASQA standards) and belong to the same body of association (VTA - Victorian TAFE association).
I plan to interview 5 current/previous employees from each of these 7 TAFEs to recollect their experience during the interview process. The sample size would be approximately 35 (7 TAFEs * 5 participants). As this involves people's lived experience with them recollecting their joy's and griefs of getting/not getting a job, I was leaning towards narrative inquiry with thematic analysis involving re-storying chronologically their interview experiences.
I recently was advised to consider the case study methodology along with the narrative inquiry and use cross-case analysis along with thematic analysis to make my research more vigorous. I can see how this research can be presented as a case study of the TAFEs in Australia and have a cross case analysis of the 7 institutions. However, I would like to get some advice and guidance if using two research methodology is a wise step or if I should choose one method over the other.
The research questions I seek to answer are around the hiring decision making process:
- Is the existing hiring-decision process appropriate in identifying the best candidate? What are its critical issues?
- What are the different factors to be considered for improving the effectiveness of the current hiring process?
- Is there a potential to increase the objective elements and standardise the hiring decision process amongst all the members of VTA?
Sophia Diana Rozario
I would appreciate any insights on:
a) What is the average time span before an answer from the editor once a manuscript reaches "Pending Decision" status?
b) At what point of time is it acceptable to send an inquiry to the editor regarding the status of a manuscript?
I am interested in the origin of information and decision processes.
If simple life-forms can move up nutrient gradients ("chemotaxis" e.g. link below) then they would appear to be sensing their environment and "deciding" which way to move.
At what point in chemical/biological evolution can the properties of simple proto-biological systems (and any "behaviour" they might display) no longer be explained purely by physical chemistry, and (presumably) start to display emergent properties?
Is an enclosing membrane required?
Does a transition beyond physical-chemistry alone say anything about the nature of chemical life?
How the integrated MCDM modelling can help decision makers to improve decision process and deliver qualified results? I was working in my PhD thesis on integrated modelling of MCDM tools with other concepts and engineering tools. Clearly any integration will not produce suitable results, however how one can measure effectiveness and impact of integrated models in different applications?
Hope good discussion will come!.
I want to use ISM instead of AHP analysis.
Can i apply interpretive structural modeling (ISM) analysis for some criteria and subcritaria under decision environment?
We are running an analysis on panel data. Our cross section consists of individual banks of which we have balancesheet data running over a certain time period. We have argued that fixed effects estimation is the right way to go in order to remove time invariant omitted (unobservable) effects. The data structure looks something like the attached illustration.
However, there is not that much variation over time in one of our key variables, which is rating that only goes from 1 to 5. By running individual fixed effect we lose a lot of information when we time demean our data. We do also have data on which country the bank is located in. This we can argue has certain effects we want to eliminate as well, i.e. difference in regulation, culture metrics that may affect decision making etc.
We have seen other models like ours run with “country and time fixed effects” through a LSDV model. This would remove the unobserved effects on country level as well as any time trend in the data, which is what we want.
We can argue for the model choice theoretically, but also want to back it up with an empirical test. Is it possible to run a Hausman like test for FE rather than RE, when we estimate our model through LSDV with country FE rather than individual FE or is the test redundant in this setup? We are using R, but also have access to Stata.
Free and up to date resources preferably!
please help. Many thanks!
I would like to know if there are any tasks, other than affective priming paradigm that can be used to measure the influence of affect heuristic on cognitive judgements.
I've just read a brilliant paper by Podsakoff, et al., 2003 on common method biases and I was wondering if you have any further thoughts on this topic. I am particularly interested in identifying common method biases in organizational setting at the time of restructuring/merging of companies.
Looking forward to hearing Your ideas! :-)
Currently, the fad is to develop a culture of inquiry and evidence to support decision making. Is there a survey instrument available similar to the BARRIERS survey?
For my Master Thesis, I want to conduct an experiment and i.a. assess employee perception of leader feedback skills and their (employees') consequent intention to change (as acting upon the given constructive feedback). Has anyone worked with or used such a scale that measures how employees perceive their leaders' feedback (e.g. in a performance appraisal), to what extent employees accept this feedback and / or intent to act upon it?
Many thanks for any answer or advice in advance!
Hypothetical scenes in which the current as well as the future situation are risky are presented. Participants are asked to state if they want to change the current, risky situation (Option A), if they want to stay in that situation (Option B) despite potential risks or if they can't decide what to do. We assume that indecisiveness is associated with the feeling of a conflict. How could we measure that conflict? Is there any scale?
I have developed a Piagetian based instrument that I am ready to do some large scale field testing with. Is anyone interested in using it?
I have a data set with a measure that uses short scenarios where participants have to choose one of 5 options as their response. Example:
The parents of a young man, who is working, live in another town. The father has just retired from his job. What will the son do?
a. He will encourage his parents to live at his place so that he will save money for his own use in the future (II)
b. He will encourage them to stay at their own place so they can continue living with their friends and their neighbors (IC)
c. He will encourage his parents to live at his place so that they can all live together (CC)
d. He will encourage them to stay at their own place so that he is not inconvenienced (CI)
e. He will encourage them to stay at their own place and go spend quality time with them enjoying their company (C&I)
What is the best way to analyze this if I want to a) compare whether different groups answered these differently and b) compare whether people's responses about how they would act in this situation is different from their perception of how others would act? (i.e. I have two versions of the questionnaire, one phrased as "what would the son do?" another as "what would you do?")
Any suggestions would be greatly appreciated. I have SPSS and R at my disposal.
I want to know the best available task or paradigm (e.g, selection/comparison task, classification task, naming task, parity judgment task, and ?) to examine these two research questions. Why?
Additive transitivity defined by S.Alonso et all in "A consistency based procedure to estimate missing pairwise values" page 8 is apparently similar to the definition provided by Z.Wang in "Goal programming approaches to deriving interval weights based on interval fuzzy preference relations" page 7.
But the example in Wang's paper page 21 does not satisfy the definition given by Alonso.
Is there a problem in my understanding of the definition.
If skills are selected as a criteria for personnel selection using AHP, some candidates may have more than one of the selected skills for sub criteria. For example, individual A has skill 'a', individual B has skill 'b' and individual C has both skills 'a' and 'b'. In this case, can we just sum the resulting skills percentage (e,g, subcriteria skill 'a' + sub criteria skill 'b') or should we have to gather the subcriteria for each one of the alternatives (e.g. subcriteria <skill 'a'>, sub criteria <skill 'b'>, sub criteria <skill 'a'+'b'>?
Ecological impacts observed in contaminated urban river systems often can be attributed to the presence of chemical stressors (e.g., chemicals in sediments) as well as non-chemical stressors (e.g., "flashiness" of flow, high rates of sedimentation, low DO, etc.) typically found in urban environments. This issue presents a unique and very difficult challenge when attempting to characterize sources of ecological risk within urban river systems.
I am curious how others have tackled the problem of quantifying 1) ecological risk resulting directly or indirectly from exposure to chemical stressors; and 2) ecological risk attributed directly or indirectly to the presence of non-chemical stressors. Although this is an important academic question, it is also an extremely important and potentially costly problem faced by those conducting ecological risk assessments that may be used to inform the remedial decision process mandated under various regulatory programs.
Software project management generally is a process of proper decision makings. Thus, for an experienced person how it is possible to identify this ability as a simple set of criteria to see whether a subject (project manager) has that ability or not. By this question I want to know based on what facts a decision model for a project manager could be an efficient one.
For example if we have speakers within the same accent category does it make the decision process easier or harder compare to the speakers with different accent?
Theoretical explanation and/or empirical result will be appreciated.
Decision-making processess refer to case-based reasoning, peer review, multi-criteria group decision-making, simulation, decision trees and estimation.
Decision-making methods refer to satisficing (e.g. de Boer et al., 2006), multi-criteria decision-making (e.g. Razzaque et al., 1998), fuzzy logic (e.g. Chen et al., 2007), parameterisation (e.g. Kaldate et al., 2006), meta-analysis (e.g. White, 1996) and cluster analysis (e.g. Kremic et al., 2006)
There are various examples which show that the quality of decisions and their timeliness contributes towards the success of an organization.
In a multicriteria decision process, the decision makers (DM) are required to specify the parameters of the model through an interactive process in cooperation with the decision analyst. However, the cognitive difficulties associated with direct elicitation procedures represent a complex task for the DM.
I need a superdecisions file or a publication example
In my opinion, the most real human multi-criteria functions are nonlinear (linearity is a special ideal feature of the dependences).
The significance of the component is not constant in the domain and the components are dependent. Additionaly, linear or linear-like
multi-criteria models are used in many internationally known methods. The proof of the nonlinearity is presented by Kahneman and Tversky (1979).
KAHNEMAN, D. and TVERSKY, A. (1979) PROSPECT THEORY - ANALYSIS OF DECISION UNDER RISK, Econometrica, 47(2), pp. 263 - 291.