Information Systems - Science topic

Anuradha Maurya Thank you for your answer. However, the conventional approach does not solve the problem. In fact, JMIS does not provide a usable website to manage the publishing process, and all manuscripts are submitted by e-mail.

Thank you for your response

Thank you very much for your reactivity and your feedback

it's really very interesting

Dear Mohammad Jannate Omar Lucsadato , check this reference. It will get you started,

Kind regards

Rob

GIS - Geographic Information Systems play a crucial role in geospatial technologies regarding crops and soils, providing invaluable tools for precision agriculture. By creating detailed maps of soil properties, crop health, and environmental factors, GIS enables farmers to make site-specific management decisions and optimize resource allocation based on soil characteristics. The integration of real-time data from various sources, such as weather stations, soil sensors, and remote sensing platforms, allows for prompt decision-making and adaptive strategies to address specific soil conditions. Furthermore, GIS helps in planning and forecasting, empowering farmers to make informed decisions about crop selection to enhance soil sustainability and adapt to changing climate conditions.

Hi researche,

There are many methods in-classroom suggestions for teacher improvement.

First, start small and think big, 2nd utilize the latest technologies, 3rd prioritize student relationships, 4th empower parents to be your almy and lastl, ensure your curriculum knowledge.

The success of Digital Transformation is questionable. Why do such transformation fail and how can it be addressed. This area requires more rigorous studies to be carried out considering socio-technical perspective.

Dear Asma Sbai ,

The journal “International Journal of Applied Information Systems” is included in the so-called stand-alone journal version of the Beall’s list (https://beallslist.net/standalone-journals/ ). This is a serious red flag and there are more:

-Contact info (physical address) is at best a virtual office (in other words their real location is hidden, why?)

-The publisher behind this journal falsely shows DOAJ logo (https://www.fcsresearch.org/index.php?option=com_content&view=article&id=81&Itemid=229 )

-ISSN number 2249-0868 is either fake or no longer valid

-Editorial board has hardly any US-based researchers, how about this well-established American Foundation of Computer Science?

-On their website (https://www.ijais.org ) I was unable to access the papers in their archive

-As indicated by Ernest Akpaku after all those years not a single serious indexing (SCIE, Scopus, etc.)

I would say: avoid this one.

Best regards.

And contact them

Yousef Shahwan

Dear Ashraf Saleh ,

the key challenges businesses will face are the developments in the area of IFRS® Sustainability Disclosure Standards & https://ec.europa.eu/clima/eu-action/climate-strategies-targets/progress-made-cutting-emissions/emissions-monitoring-reporting_en and it's implication for information systems auditing.

Kind regards

Rob

Good initiative.

Thank you Faraed Salman Len Leonid Mizrah for your recommendations!

@

Digital technology has been a revolutionary foray in various sectors and domains like education, industry, research, and recently, healthcare. The concept of digital health is an evolving entity and has gained tremendous importance in the time of the Pandemic with social distancing and lockdowns forcing the entire globe to adopt digital health and health technologies on a large scale. The digital health concept was first introduced in 2000 by Seth Fran, which largely encompasses internet-based applications and media to enhance medical subject matter, commerce, and connectivity. With the advancement in technology, digital health has expanded to encompass a much wider set of scientific concepts and technologies, including the internet of things, big data technology, artificial intelligence techniques, genomics, analytics, wearables, mobile applications, and telemedicine. The various domains of digital health have been explained by WHO in 2018.

With the advancement in digital health and literacy rate in the country, The Government of India laid importance on digitalization in India’s healthcare sector in the National Health Policy, 2017 using The National Digital Health Mission (NDHM) which can act as the foundation on which national digital health ecosystem can be built. On the occasion of the 74th Independence Day, the Government of India embarked on its journey to achieve Universal Health Coverage by launching the National Digital Health Mission.

NDHM aims to build a holistic, integrated, and comprehensive digital health ecosystem that will lay the foundation of a strong public digital infrastructure, digitally empower individuals, patients, health care staff, health institutions, and aid streamline the healthcare delivery system of the country. This will help inequitable, affordable, and accessible health care to all. It may be useful for health planners and policymakers as well in monitoring and surveillance of health-related events better and in an efficient way.

Data Analytics Conferences 2022 (datalabsagency.com)

The two summary statistics commonly used for meta-analysis of continuous data are the mean difference (MD) and the standardized mean difference (SMD). Other options are available, such as the ratio of means.

Orbis database, most comprehensive ownership structure up to 0.01% shareholders and subsidiaries up to beneficial ownership and Group Ultimate ownership information

It depends on the viewpoint that you want to use in your application. Each web application designed for specific information and regarding to your objectives.

The following RG link is also very useful:

Don't hesitate to organise quick and dirty pre-test to evaluate your prototype in its protocol, especially if it's your first iteration.

I agree with Dr. Moise, DSR. The Peffers article referenced above defines a model for DSR in IS research.

Thanks you for this interesting feedback.

Привет. Готов поучавствовать в проекте!

There are textbooks that focus specifically on methods for researching information systems, including:

Ronald King (2012) Research Methods for Information Systems, and

Williamson & Johanson (2018) Research Methods: Information, Systems & Contexts.

However, I would encourage you to introduce the 'bigger picture' (such as the research landscape in the attached diagram) before presenting specific methods.

Textbook material should also be supplemented and updated with recent journal articles that present the state-of-the-art for specific methods. These include:

Davison et al. (2021) Improving action research by integrating methods, Journal of the Association of Information Systems.

Hair et al. (2017) An updated and expanded assessment of PLS-SEM in information systems research, Industrial Management & Data Systems.

Venkatesh, V (2013) Bridging the qualitative-quantitative divide: Guidelines for conducting mixed methods research in information systems, MIS Quarterly.

Wiesche et al. (2017) Grounded theory methodology in information systems research, MIS Quarterly.

Cheers!

Dear Fuyu Zhou ,

The journal “International Journal of Academic Pedagogical Research” ISSN 2643-9123 is using a fake impact factor. A common practice of a predatory journal. So, indeed definitely not indexed in Clarivate’s SCIE or SSCI.

The publisher behind this journal "International Journals of Academic Research World" and by definition all journals published by this publisher are most likely predatory. See my previous reply on December 17th, 2020.

So, better avoid.

Best regards.

Thank you Joshua Ofoeda . Let me check out his work.

I made a review about TRIZ theory using industrial case studies:

Spreafico, C., & Russo, D. (2016). TRIZ industrial case studies: a critical survey. Procedia Cirp, 39, 51-56.

This links may help:

Grounded theory in the social sciences is a systematic methodology for building a theory based on data analysis. Sometimes translated into Russian as "grounded theory" or "ascent to theory"

The main features of grounded theory are that theories are developed on the basis of qualitative data (and not selected in advance and checked or refined on empirical material), and data collection and analysis is carried out in parallel. The main procedures used are careful and detailed coding of data, comparison of data and analytical concepts, writing work notes to develop categories.

Grounded theory data collection and analysis is carried out in parallel. Data analysis includes the following main steps:

1) Coding - the extraction of primary analytical concepts (codes) directly from the interview text or other data source. At the initial stage of the analysis, open or primary coding is carried out. Grounded theory methodologists recommend line-by-line coding by parsing text line by line and assigning to each line a short notation of “what's going on” on that line. In some cases, word-by-word coding is recommended. With further data collection and comparison, some of the primary codes are discarded, while others acquire analytical significance.

2) Writing notes (memoing) about each of the formed analytical concepts or categories. Writing notes is an intermediate step between coding and the first draft of the final analysis. Writing notes begins by highlighting the first analytical concept and continues through the process of analyzing new data and building theories.

3) Integration, refinement and formulation of theories. As categories are formed from codes, they are combined into a theoretical model, which is built around one central category. In this process, the method of constant comparison plays an important role, as well as the analysis of negative cases that do not confirm the model. In essence, the researcher creates a model explaining the phenomenon under study from the very beginning of data collection, and verifies its adequacy in the process of further data collection and analysis.

Regards, Sergey

Most research grade meteorology and hydrology sites, and some Universities, cities, reservoir weather sites use recording raingauges and stream flow stations. The older type recording gauges often used strip charts, that for simplicity may have been transferred and reported as daily values. Some may have archived their data for possible future analysis. Strip charts typically are difficult to read accurately and require some interpretation of times and values. Many of the new type recorders measure and record digitally, either by weight or tipping bucket. Again, though this detailed data at subdaily or subhourly rates are seldom reported, and one would have to search out the original records for this level of detail. If the researcher collected 15 minute data, it would be difficult to go to sub15 minute records without some correlation and interpretation such as with streamflow or well data, which would most likely not be reportable as research grade, or footnoted as estimates. Although you goal is rainfall, I mentioned local streamflow or well level data records which might be correlated back to rainfall record and intensity, but with likely difficulty. Some research stations may have also singled out individual storms of magnitude and evaluated records with intensity detail. One can imagine why the 288 five minute increments in a day (105,120 five minute periods in a year) are not reported, so most often it may be searching for, and selecting individual storm periods or associated floods of noted intensity for analysis and reporting. Most USGS sites collect and report data at 15 minute intervals. When we were conducting hydrologic data at the University of Missouri Forest on small catchments, we did use 5 minute intervals, but that is probably atypical. If by chance you find Excel file with 5 minute rainfall data, it is not too difficult to develop columns with 10, 15, 20, ... accumulations, which can later be searched if looking for rainfall intensity extremes.

At the moment, covid-topics are of importance to eCommerce: how did covid boost online transactions, and for what goods and services? Who are the winners of covid? Which ecommerce channels did participate with which ratios?

best regards, Andreas

Chisquare could be tried at it's mid value

Marcin Jodlowiec Thanks for your reply. Right, Ontologies are for knowledge management. Could you please share links to relevant reading material (articles/books/white papers/etc)? Thanks.

Nurturing Knowledge Ecologies, a project at https://www.researchgate.net/project/Nurturing-Knowledge-Ecologies, highlights with 84 articles, books, conference papers, data sets, presentations, and technical reports ways in which knowledge ecologies can be powered by knowledge harvesting and sharing, social reminiscence, and narrative techniques.

Maybe this can help@

Blockchain is One of the most promising technology.

check topic security of smart contract by blockchain and

check this link https://docs.neo.org/docs/en-us/sc/gettingstarted/introduction.html

Hi

The risk could be in tow form - one you already have mentioned is Security, a vital risk - needs to addressed by collective efforts on a war footing.

Secondly, the size of data itself, how integration takes place among hardware, software, latest internet serervice providers, cloud, etc. across the globe is also a risk.

I do not know anything about LPWAN

The technology of BlockChain is not efficient enough. In my opinion, the computational performance of BlockChain transactions should be improved. Otherwise, it is really difficult to be applied in some worldwide supply chain networks.

In my perspective, it is important to you to study more about the mechanism of work and the crypto exchanges. Understanding the technological part for both of them will provide you with the bigger picture in regards to the cyber security issues facing cryptocurrencies.

… Read more

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I think yes

This link maybe useful for you:

http://ceur-ws.org/Vol-576/paper1.pdf

A relevant paper is listed below for your ready reference:

SOA: a new way to design the decision in SOA—based on the new standard Decision Model and Notation (DMN)

‏F Boumahdi, R Chalal, A Guendouz… - … Oriented Computing and …, 2016‏ - Springer‏

Web of Science Master Journal List could be helpful: https://mjl.clarivate.com/home?mm=

You can find journals where your research is most likely to be accepted

Hi.,

Kindly Refer this Link:

Quite often, QC data can be significantly unbalanced. I had a data set with 20+ variables and 100,000+ subjects from a line of a particular product, and 100-120 of the subjects came back for warranty work. The goal was to find the important variables to help predict which products would come back for warranty work. All the standard statistical methods failed. I didn't.

Maybe you can find a data set that has highly imbalanced data (Like cancer) and find something interesting.

Perhaps following approach can be considered:

use spark streaming or kafka platform

RG 05 AH30903 Muhd Irfan Sarin Irfan Sarin

Acceptance from individuals is not taking into consideration soft factors generally as IS as a topic encompass an audience of IT individuals who carry with them logical traits and do not leave much space to persuasion or ambiguity. However, in my experience, I have noticed that those people appreciate social experiments and if the methodology is human-centric you will have a better chance to be accepted. They are not necessarily monetary driven and you will require a value exchange that they need. Try to exchange new knowledge and breakthroughs instead of simple cooperation, find values that can be shared in order to achieve true collaboration. Confucius once said that knowing what you know and knowing what you do not know is real knowledge. Find that breakeven and start your exchange.

Will share this in my network.

useful

Hi,

Kindly Refer this link:

https://www.coursera.org/lecture/nonlinear-spacecraft-attitude-control/7-state-based-lyapunov-functions-SxLN3

Best Wishes..

I propose for you the following topic:

The integrated information systems.

IoT has a GIS nature, every connected object that produces information or data is located in a structured system that has a location, a sequence of data to be recorded and stored (detect and store), searchable and above all has spatial relationships with other objects. This is a naturally GIS approach.

Here are a few IT audit papers which may help you in choosing a topic and doing your literature review. They are all available in full and free of charge.

If you decide to use any of them please 'recommend' and cite them in your thesis:

Dear Sir,

try to find which paper you need from:

Noori Abdul-nabi Nasir research gate

Following

Center for Creative Leadership has a large base of competences and they are excellent in designing assessment based on them.

To me,

These are the interesting use cases for Blockchain, so far.

A causal-comparative design is a research design that seeks to find relationships between independent and dependent variables after an action or event has already occurred. It seeks to establish a cause-effect relationship between two or more variables. The researcher does not assign groups and does not manipulate the independent variable.

The researcher's goal is to determine whether the independent variable affected the outcome, or dependent variable, by comparing two or more groups of individuals. It typically starts with the effect and seeks to find possible causes and is used when studying differences where the variables cannot be manipulated.

Types of Causal-Comparative Research:

1) Retrospective Causal-Comparative Research – In this type of comparative research, the researcher is investigating a research question after the effects have already occurred. The researcher studies how one variable may have influenced another variable.  This is the most common type of causal-comparative research,

2). Prospective Causal-Comparative Research - Researchers using this type of method begin by studying the causes and then investigating the possible effects.

Causal-comparative research designs are mostly used in education, social sciences, etc. but may not not be used in information systems science because of

a different subject matter and technical problems.

بالتوفيق

I think the link can help you.

Ahmed, I did a search on "system analysis report" and the first example is of a working system. I personally had never seen a report like this one, but I include it here for completeness. https://www.emerson.com/documents/automation/manuals-guides-guardian-sample-system-analysis-report-pss-en-67944.pdf

Then, I found something that might be used in any situation. It is a rather comprehensive and broad document template that at first glance looks fairly good. https://www.ogcio.gov.hk/en/our_work/infrastructure/methodology/system_development/doc/G61c_Effective_SAnD_Guide_Appendix_C_v1_1.pdf

I agree with others on this thread that requirements is where one normally starts when building a new system of any type. But it is more than that of course. What SDLC methodology you select for your project will influence the deliverables you and your team will need to prepare.

That said, focusing on what a system analysis report might include for an android project, this website has some templates that might be useful for you. https://clearbridgemobile.com/how-to-build-a-mobile-app-requirements-document/

Finally, I did come across a list of software development deliverable templates that I think would be useful for any project, especially those employing the waterfall approach. https://eas.rutgers.edu/?ht_kb=system-project-templates-sdlc

I will poke around a little more, and if I find anything else I will post it. Hope that helps somewhat.

Just adding social communities, and ubiquitous technologies.

I believe this is an important point to note. A fairly common mistake can be made during implementation of data warehouse development assuming that a data warehouse is just like a database. There are fundamental differences that need to be noted between the traditional database and a data warehouse, normalization versus de-normalization. According to Arshad (2003), many do not realize until it is too late that a data warehouse is a process, encompassing many components, whose successful implementation requires knowledge of both business and technology — according to Erick (2003), recommended in his study on teaching Data Warehousing to Undergraduates that the entire concept of normalization is not required for a data warehouse (DW) development. Erick added that the end users are often statisticians, not computer people. Characteristics of the star-schema are explored (de-normalization, implicit hierarchies, relational qualities that still exist (relational sentences), granularity and the correct usage of the time dimension).

Normalized schemas try to avoid data dependencies. However, even highly normalized schemas have dependencies. Based on a study to improve analysis of large complex database by Tilmann and Meikel (2011),  to increase performance for analytical processing, less normalized or highly de-normalized schemas are used, such as in data warehouses or online analytical processing (OLAP) systems. These systems show many different types of dependencies. De-normalization provides the flexibility for addressing requirements that are ad hoc and unplanned. It is quite suitable for the data warehouse as a normalized database limits the queries that can be run against.

References:

Arshad, K. (2003) Data Warehousing 101 Concept and Implementation [Online] Available at:  https://books.google.co.uk/books?hl=en&lr=&id=qbhQN3WBJ2IC&oi=fnd&pg=PR5&dq=de-normalization+or+normalization+for+data+value+conflict+in+DW+development&ots=-H0y4tWoMU&sig=-lupx0XxdT3OkJVu3tbZCKgHdao#v=onepage&q=de-normalization&f=false [Accessed 24 March 2019]

Erick, S. (2003) Teaching Data Warehousing to Undergraduates – Tales from the Warehouse Floor[Online] Available at: https://dl-acm-org.liverpool.idm.oclc.org/citation.cfm?id=947176 [Accessed 24 March 2019]

Tilmann R., and Meikel, P. (2011) Parallel Data Generation for Performance Analysis of Large, Complex RDBMS [Online] Available at:http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.454.8938&rep=rep1&type=pdf [Accessed 24 March 2019]

Kgs Venkatesan

Its contextual decision to select appropriate design approach and techniques.

In Laymen words, Modular design approach may help you to break down and come out with next level question, where to apply what?

Even in many cases, modularity has some disadvantages as well, i would suggest first analysis your problems and break down to possible

decoupled modules then think about next level techniques.

if your institution has access, you must be able to get articles. some of paper will have full text here in RG as well. also i suggest not to exclude MISQ since its one of top most sources.

the question is a bit general however I think going for overarching agricultural field/sub fields can serve as domains in which you can categories different research projects. Key words can also help to evenly communicate audiences/readers in the field than numbers.