Management - Science topic

Dear researchers,

I am working in the field of social science, specifically sustainability. I am looking for a research project collaborator from Japan for an upcoming research project proposal. Broadly, identified research areas for collaborative research projects are: circular economy, cultural heritage, religious and spiritual tourism, MSMEs, and value-based primary education. The new areas can also be explored based on the common research interests of researchers from both countries.

Feel free to contact me on singhm@nitrkl.ac.in

2024 8th International Seminar on Education, Management and Social Sciences (ISEMSS 2024) will be held Harbin during July 19-21, 2024.

The topics of interest for submission include, but are not limited to:

1. Sociology and Anthropology

Applied Anthropology

Archaeology

Elderly Care

......

2. Language and Literature

African Literature

American Literature

Asian Literature

......

3. Linguistics

Sign Language

Artificial Language

Loanwords

......

4. Education

Adult and Continuing Education

Civic Education and Leadership

Classroom Management

......

5. Management

Information Management & Strategy

Information Systems & Technology

E-Commerce Engineering & Management

......

6. More categories

Psychology

Culture

Law

......

*Other topics related to education, management, and social sciences are available

All accepted papers will be published in the ASSEHR-Advances in Social Science, Education and Humanities Research (ISSN: 2352-5398) and will submitted for indexing by CPCI and CNKI.

Full Paper Submission Date: June 25, 2024

Registration Date: July 05, 2024

Final Paper Submission Date: June 15, 2024

Conference Dates: July 19-21, 2024

Hi fellows,

I am looking for two co-authors for a research project (50% done) that will be submitted to The 2024 15th International Conference on E-business, Management, and Economics (ICEME 2024, https://www.iceme.org/index.html). It is an excellent opportunity to come and visit China.

The topic's focus is Multinational Corporations (MCs), and the offer is valid until February 20th (11:59 pm, China time).

One of the important factors in the business success of fast-growing startups basing their success on technological innovations is the efficient and cost-effective implementation of specific new technologies into the manufacturing, business and other processes realized in companies, enterprises and other business entities. However, in addition to the issue of efficient and economically effective implementation of specific new technologies into the business activities of companies and enterprises, there are many other important factors for the business success of fast-growing startups rapidly building their manufacturing potential, conquering new markets, effectively occupying new market niches, achieving spectacular financial results, etc. that base their success on technological innovations. Such factors include, among others, management efficiency and flexibility in adapting the business entity to the changing conditions of the economic, market, competitive environment, etc. The availability of various, convenient forms of external financing for the startup's current and investment activities; more or less favorable towards startups and other business entities of the SME sector economic policy shaped by the government; the activities of chambers of commerce, public institutions, non-governmental organizations supporting the development of innovation and entrepreneurship of companies and enterprises at an early stage of development; opportunities to join business organizations, cooperatives, clusters or other forms of cooperation involving mutual support of various developing business entities and institutions, etc.

I am conducting research on this issue. I have included the conclusions of my research in the following article:

In view of the above, I address the following question to the esteemed community of scientists and researchers:

What do you think about this topic?

What is your opinion on this issue?

Please answer,

I invite everyone to join the discussion,

Thank you very much,

Best wishes,

Dariusz Prokopowicz

2024 International Conference on Education, Humanities, Arts and Management Sciences (EHAMS 2024) will be held in Kuala Lumpur, Malaysia on August 02-04, 2024.

The topics of interest include, but are not limited to:

1. Education

· English Education

· Foreign Language Teaching

· Digital Learning

· Educational Science

· Educational Technology

......

2. Humanities and Arts

· Music and Dance Studies

· Drama and Film and Television Studies

· Literature and Poetry

· Art and Animation

· Language and Broadcasting Hosting

......

3. Management Sciences

· Administrative Management

· Social Management

· Economic Management

· Information Management

· Business Management

......

*Other contributions related to humanities and social science topics will be accepted.

All accepted papers will be published byClausius Scientific Press (CSP) or BIO-Byword Scientific Publishing (BIO) and will be submitted to CNKI, Google Scholar.

Full Paper Submission Date: July 29, 2024

Registration Deadline: July 26, 2024

Final Paper Submission Date: August 01, 2024

Conference Dates: August 02-04, 2024

--- Paper Submission---

Please send the full paper(word+pdf) to Submission System :

Production logistics management in a manufacturing company is currently one of the key areas of business management that significantly affects the level of technical and organizational efficiency of business operations. The change in the level of technical and organizational efficiency of business operations also usually has a significant impact and correlates with the issue of business efficiency and affects the financial results generated in the business entity. Among the key segments of logistics in the enterprise are also internal production logistics, on the way of organization of which the efficiency of the operation of production processes and the efficiency of the enterprise also largely depends. In recent years, more and more companies and enterprises have been optimizing production logistics through the implementation of information systems and automation of individual operations in the process. Production logistics is mainly concerned with ensuring the optimal flow of materials and information in the process of producing all types of goods. Production logistics does not deal with the technology of production processes, but only with the organization of the production system together with the storage and transport environment. Production logistics is mainly concerned with the optimization of all operations related to the production process, such as: supplying the plant with raw materials, semi-finished products and components necessary for production; transporting items between successive stages of production; and transferring the finished product to disposal warehouses. Precisely defining optimal production logistics is a lengthy process, requiring analysis and modification of almost every process taking place in a company. One of the key factors in the optimization of production logistics is the reduction of inventory levels and their adjustment to the ongoing production process. This translates directly into a decrease in storage costs. Effective management of production logistics should ensure timely delivery, while maintaining high product quality. Effective production logistics management can be supported by the implementation of new Industry 4.0/5.0 technologies, including Big Data and generative artificial intelligence.

The key issues of opportunities and threats to the development of artificial intelligence technology are described in my article below:

In view of the above, I address the following question to the esteemed community of scientists and researchers:

What do you think about this topic?

What is your opinion on this issue?

Please answer,

I invite everyone to join the discussion,

Thank you very much,

Best wishes,

Dariusz Prokopowicz

Could anyone provide information regarding the availability of postdoctoral fellowship programs in the field of tourism at your esteemed institution?

AD Scientific Index is a reliable quality measure or a valuable tool for assessing institution and research quality, so it could soon become a significant factor in assessing both institutions and researchers.

Hi,

I am currently working on my thesis and I am designing an online experiment with 2 factors, each of which has two levels.

To briefly explain the experiment: participants will either see a piece of content created by professional content creators or a piece of content created by GenAI. Therefore, my independent variable will be the content source (AI vs human), while my dependent variables will be some measures of content quality.

Moreover, there will be two "conditions" in each group: participants can either see the disclosure of the content source or not.

The allocation of participants to each group will be random.

I am confused as to what this last variable (disclosure vs non-disclosure) is. I thought it would either be another independent variable or a moderating variable, but my professor thinks it cannot be considered a moderating variable. So, what is the correct way to classify it?

And finally, how can I visualize all the variables? I attach the framework I have made so far. I am not sure whether instead of the "independent variable" box it would be correct to create a matrix including both of the independent variables.

I am new to research so I apologize for any inaccuracies you may read above.

I would really appreciate any help! Thank you so much for reading my question :)

Hi everyone, I would like to conduct my master thesis on sustainable supply chain management. However, I need to be a bit more specific on what I want to analyze.

I was thinking on the impact of the green deal on sustainable supply chain management, do you have any suggestion for a specific research question and sources? Thank you

I need help with one survey to reach 3000 people (response). I will be really thankful if anyone can reply and share this survey.

https://docs.google.com/forms/d/e/1FAIpQLSf3iKWTc0VkEyPnwX8lIHcVB_4aWJajgbA0_EzkC6HAEpCyHQ/viewform?usp=sf_link

How could politicians and scientists better work together to address issues in our world? For example, can Researchgate provide opportunities for politicians to get involved in some sort of discussion forum for a specific issue to exchange information and ideas between researchers and politicians?

In recent years, there has been a growing scale of implementation of Industry 4.0/5.0 technologies, including Big Data Analytics, Data Science, multi-criteria simulation models, digital twins, additive manufacturing, Blockchain, smart technologies and also generative artificial intelligence to business entities in order to improve internal information systems of the Business Intelligence type supporting the management processes of a company, enterprise, corporation or other type of business entity. The Covid-19 pandemic has accelerated the processes of digitizing the economy. The importance and application of analytics conducted via the Internet and/or using data downloaded from the Internet is also growing. An example is sentiment analysis conducted on data downloaded from the Internet implemented on Big Data Analytics platforms being an additional research instrument of conducted market research, marketing research as an additional source of data for conducted Business Intelligence type analysis. This is particularly important because in recent years the importance of Internet marketing, including viral marketing, Real-Time marketing carried out on social media sites is increasing. Accordingly, in many industries and sectors of the economy, there is already an increase in the application of certain Industry 4.0 technologies, i.e., such as Big Data Analytics, Data Science, cloud computing, machine learning, personal and industrial Internet of Things, artificial intelligence, Business Intelligence, autonomous robots, horizontal and vertical data system integration, multi-criteria simulation models, additive manufacturing, Blockchain, cybersecurity instruments, Virtual and Augmented Reality and other advanced data processing technologies Data Mining. Besides, using Big Data Analytics, interesting research is being conducted in the field of the issue: Analysis of changes in the relationship of consumer behavior in the markets for goods and services caused by the impact of advertising campaigns conducted on the Internet, applying new Internet marketing tools used in new online media, including primarily social media. The growth of behavioral economics and finance, including the analysis of the determinants of media formation of consumer opinions on the recognition of the company's brand, product and service offerings, etc., through the growth of Internet information services, including social media portals. Currently, online viral marketing based on social media portals and customer data collected and processed in Big Data Analytics databases is developing rapidly. In recent years, new online marketing instruments have also been developed, applied mainly on social media portals and are also used by e-commerce companies. Internet technology companies and fintechs are also emerging, offering online information services to assist marketing management, including in planning advertising campaigns for products sold via the Internet. For this purpose, the aforementioned sentiment analyses are used to study the opinions of Internet users regarding the prevailing awareness, recognition, brand image, mission, offerings of certain companies. Sentiment analysis is carried out on large data sets taken from various websites, including millions of social media pages, collected in Big Data systems. The analytical data collected in this way is very helpful in the process of planning advertising campaigns carried out in new media, including social media sites. These campaigns advertise, among other things, products and services sold via the Internet, available in online stores. In view of the above, the development of e-commerce is mainly determined by technological advances in ICT information technology and advanced data processing technology Industry 4.0, as well as new technologies used in securing financial transactions carried out over the Internet, including transactions related to e-commerce, i.e. blockchain technology, for example. In my opinion, ongoing scientific research confirms the strong correlation occurring between the development of Big Data technologies, Data Science, Data Analytics and the efficiency of the use of knowledge resources. I believe that the development of Big Data technology and Data Science, Data Analytics and other ICT information technologies, multi-criteria technology, advanced processing of large sets of information, Industry 4.0 technology increases the efficiency of the use of knowledge resources, including in the field of economics, finance and organizational management. In recent years, ICT information technologies, Industry 4.0, etc., have been developing particularly rapidly and are being applied in knowledge-based economies. These technologies are being applied in scientific research and business applications in commercially operating enterprises and in financial and public institutions. In view of the growing importance of this issue in knowledge-based economies, it is important to analyze the correlation between the development of Big Data technologies and analytics of Data Science, Data Analytics, Business Intelligence and the efficiency of using knowledge resources to solve key problems of civilization development. Analytics based on Business Intelligence, in addition to Data Science, Big Data Analytics are increasingly being used in improving business management processes. The development of this analytics based on the implementation of ICT information technologies and Industry 4.0 into analytical processes has a great future in the years to come. In recent years, ICT information technologies, Industry 4.0, etc., have been developing particularly rapidly and are being applied in knowledge-based economies. In addition, the application of artificial intelligence technologies can increase the efficiency of the use of Big Data Analytics and other Industry 4.0/5.0 technologies, which are used to support business management processes.

I have described the issues of application of Big Data and Business Intelligence technologies in the context of enterprise risk management in the following article:

APPLICATION OF DATA BASE SYSTEMS BIG DATA AND BUSINESS INTELLIGENCE SOFTWARE IN INTEGRATED RISK MANAGEMENT IN ORGANIZATION

In addition, I described the issues of opportunities and threats to the development of AI technology applications in my following article:

OPPORTUNITIES AND THREATS TO THE DEVELOPMENT OF ARTIFICIAL INTELLIGENCE APPLICATIONS AND THE NEED FOR NORMATIVE REGULATION OF THIS DEVELOPMENT

In view of the above, I address the following question to the esteemed community of scientists and researchers:

What do you think on this topic?

What is your opinion on this issue?

Please answer,

I invite everyone to join the discussion,

Thank you very much,

Best regards,

Dariusz Prokopowicz

In some companies, managers increasingly take into account the expectations of employees, including the needs of employees in the development and identification of their self-realization with the company in which they work.

Such changes in personnel management are an important factor of corporate social responsibility.

On the other hand, this type of pro-social approach in personnel management usually increases its scale in the situation of low unemployment and high income of employees.

In addition, this type of pro-social approach in personnel management and good governance and good business practices should be correlated with the concept of effective development of countries operating in the model of social market economies.

In view of the above, the current question is: Does corporate social responsibility develop to a greater extent in social market economies?

Please, answer, comments. I invite you to the discussion.

I am planning to expand my business and hope to learn some industry information from you in your area. Or share some resources and explore potential cooperation opportunities.

#Medicine #Biotechnology #Doctor#Research

The acceleration of the processes of digitization of the economy triggered by the development of the Covid-19 pandemic has resulted in a significant increase in computerization, Internetization, applications of ICT information technologies and Industry 4.0 to various economic processes. There is an increase in applications of specific Industry 4.0 technologies in many industries and sectors of the economy, i.e., such as Big Data Analytics, Data Science, cloud computing, machine learning, personal and industrial Internet of Things, artificial intelligence, Business Intelligence, autonomous robots, horizontal and vertical data system integration, multi-criteria simulation models, digital twins, additive manufacturing, Blockchain, cybersecurity instruments, Virtual and Augmented Reality, and other advanced Data Mining technologies. In my opinion, among others, in the fields of medical therapies, communications, logistics, new online media, life science, ecology, economics, finance, etc., and also in the field of predictive analytics, there is an increase in the applications of ICT information technologies and Industry 4.0/Industry 5.0. Artificial intelligence technologies are growing rapidly as they find applications in various industries and sectors of the economy. It is only up to human beings how and in what capacity artificial intelligence technology will be implemented in various manufacturing processes, analytical processes, etc., where large data sets are processed in the most efficient manner. In addition, various opportunities are opening up for the application of artificial intelligence in conjunction with other technologies of the current fourth industrial revolution referred to as Industry 4.0/5.0. It is expected that in the years to come, applications of artificial intelligence will continue to grow in various areas, fields of manufacturing processes, advanced data processing, in improving manufacturing processes, in supporting the management of various processes, and so on.

I have been studying this issue for years and have presented the results of my research in the article, among others:

In view of the above, I address the following question to the esteemed community of scientists and researchers:

And what is your opinion about it?

What is your opinion on this issue?

Please answer,

I invite everyone to join the discussion,

Thank you very much,

Best wishes,

Dariusz Prokopowicz

The topics of interest for submission include, but are not limited to:

(1) Art

· Art

· Xiqu

· Design

· Animation

· Cultural Industry

· Music and Dance

· Theatre and Film and Television Studies

(2) Education

· Pedagogy

· Psychology

· Science Education

· Special Education

· Physical Education

· Intelligent Education

· Sports Rehabilitation

(3) Manage

· Safety Management

· Public Administration

· Business Administration

· Safety Science and Engineering

· Agricultural Economic Management

· Information Resource Management

· Management Science and Engineering

All accepted papers will be published in Clausius Scientific Press (CSP) and will be submitted for CNKI,Google Scholar.

Full Paper Submission Date: January 25, 2024

Registration Deadline: January 29, 2024

Final Paper Submission Date: January 29, 2024

Conference Dates: February 23-25, 2024

In line with the changing university strategic directions you may face with the following phenomenon that the importance of the high quality publications (Q1, Q2) and the University service (PhD supervision, being member of PhD different communities, organizing conferences or tracks) got a growing significance during our carrier path. These needs called this community into existence.

Minimum entry criteria to join this community is to be a researcher with PhD.

Let's expand this community here!

Hello. please guide me. I am from Iran, and I am very interested in studying for a doctorate degree in the United States of America in the field of management. My master's GPA in business management (marketing) is 3.8 and I have three articles in Persian (two conference articles and one research article), and I am working on an article in the field of employment of people with disabilities. I have a bachelor's degree in materials engineering and two years of government work experience. But I don't have enough time to take the GRE or GMAT exam. Because I want to prepare for the IELTS or TOEFL test. Can you guide me?

Change is the only constant in today's dynamic and interconnected world. Traditional change management, once the stalwart of organizational adaptation, is now being questioned for its ability to keep pace with the accelerated pace of change. This post explores the limitations of traditional change management and advocates for the adoption of acceleration and flux management strategies in the contemporary landscape.

Change management, rooted in structured methodologies and sequential processes, was designed for a time when the business environment evolved at a more measured pace. However, the present reality is one of continuous disruption, where technological advancements, global interconnectivity, and societal shifts occur at an unprecedented speed. The rigid nature of change management models often falls short in addressing the urgent and unpredictable nature of today's challenges.

2.1 Dynamics of Acceleration

Acceleration management acknowledges the need for organizations to not just adapt but to thrive in an environment where speed is a competitive advantage. This section explores the fundamental principles of acceleration management, emphasizing agility, rapid decision-making, and the ability to seize emerging opportunities.

2.2 Agile Leadership in Acceleration

In the era of acceleration, leadership must evolve to become more agile and responsive. This involves a shift from hierarchical structures to distributed leadership models, where decision-making is decentralized, and leaders embrace uncertainty as an inherent part of the business landscape.

2.3 Technology as an Accelerator

Technological advancements act as both a driver and an enabler of acceleration. The integration of cutting-edge technologies, such as artificial intelligence and data analytics, allows organizations to gather insights in real-time, facilitating quicker and more informed decision-making.

3.1 Understanding Flux in Modernity

Flux management extends the concept of acceleration by acknowledging that change is not a one-time event but a continuous state of flux. The philosophy of flux management refers to how organizations can not only adapt to change but thrive in a perpetual state of transformation.

3.2 Building Resilience through Flux

Resilience becomes a key organizational trait in the face of constant flux. Strategies for building resilience, such as fostering a culture of learning, promoting adaptability, and creating robust feedback mechanisms, should be examined.

3.3 Leveraging Complexity in Flux

Traditional change management often seeks simplicity, but in the context of flux, complexity is an inherent part of the landscape. This section explores how organizations can leverage complexity to their advantage, embracing diverse perspectives and fostering innovation.

This section provides real-world case studies of organizations that have successfully transitioned from traditional change management to acceleration and flux management. It analyzes the challenges faced, the strategies implemented, and the outcomes achieved, highlighting the tangible benefits of embracing agility and continuous transformation.

Moving from a change management paradigm to acceleration and flux management comes with its own set of challenges. This section addresses common hurdles, such as resistance to change, organizational culture clashes, and the need for retraining and reskilling, offering practical insights into overcoming these obstacles.

As organizations navigate the complexities of acceleration and flux management, ethical considerations come to the forefront. This section explores the ethical dimensions of rapid change, emphasizing the importance of responsible innovation, transparency, and a commitment to societal well-being.

Looking forward, this section discusses emerging trends in management practices. It explores how the convergence of acceleration and flux management may lead to the development of more holistic and adaptive organizational models, setting the stage for the future of leadership and organizational effectiveness.

Change management, while effective in its time, is increasingly being viewed as inadequate for the demands of the modern business landscape. Acceleration and flux management offer a paradigm shift, providing organizations with the tools to not only survive but thrive in an environment characterized by constant change. The journey toward embracing acceleration and flux management requires a strategic mindset, a commitment to learning, and a willingness to reevaluate traditional approaches. As organizations navigate the complexities of the 21st century, the adoption of these innovative management approaches becomes not just a choice but a necessity for sustained success and relevance.

For more, please see:

Every enterprise has main internal systems or functional areas. There are many theories trying to define which are the main ones. How the main systems are connected between each other . Which are their sub systems or sub sub systems.

Let's discuss on which are, in our opinion, the main systems (functional areas) in an enterprise and how they are connected. Maybe even see what they consist of?

This is similar to our human bodies which all have digestive system, cardiovascular system, respiratory system, skeletal system, etc. even though on the outside we are all so different.

Ontological model should be a complete theory of how an enterprise is structured and how it functions as whole. It should describe through formulas the objects, subjects, processes, and all the elements in an enterprise, as well as the relationships between them. A structured way to define and organize the enterprise, allowing people to study it, but also computers to understand it. A holistic and comprehensive ontological model of the enterprise.

Dear Authors,

Currently, we are in the process of editing a forthcoming book entitled Artificial Intelligence of Things (AIoT) for Productivity & Organizational Transition, to be published by IGI Global, an international publisher of progressive academic research. We would like to take this opportunity to cordially invite you to submit your work for consideration in this publication.

In addition to your contribution as an author, if you like to serve as a reviewer, please let us know.

All submitted chapters will be reviewed on a double-blind review basis and there are no submission or acceptance fees for manuscripts submitted to this book publication.

Please visit  https://www.igi-global.com/publish/call-for-papers/call-details/6645 for more details regarding this publication and to submit your work. You can also find detailed manuscript formatting and submission guidelines at http://www.igi-global.com/publish/contributor-resources/before-you-write/. If you have any questions or concerns, please do not hesitate to contact us.

Thank you very much for your consideration of this invitation, and we hope to hear from you soon!

Best wishes,

Dr Sajad Rezaei

University of Worcester

Dr Amin Ansary

University of the Witwatersrand

ImportantDates

August 6, 2023: Proposal Submission Deadline August 20, 2023: Notification of Acceptance October 29, 2023: Full Chapter Submission December 10, 2023: Review Results Returned January 7, 2024: Final Acceptance Notification January 14, 2024: Final Chapter Submission

An enterprise output can be a 'good' or a 'service'. Let's discuss on how we calculate the full cost for an enterprise and find out where we have overlap and were we have divergence.

In manufacturing, a given processed metal part, as a final product, can be both a good or a performed service.

I am curious to see everyone's opinion on the importance of economic science and management to be able to differentiate goods from services clearly and how this can help an industrial enterprise with production planning, cost calculations, major optimizations, etc.

Currently, there are many definitions of what are goods and services. Some of them define them as two completely different things. Others, like the Wikipedia page on this topic, state it is impossible to say that an item is either a good or a service, and there is a service-goods continuum. Another thing is the term product, which some say is a good, but most sources give two dimensions of a product - a service and a good

Let's discuss it!

AI is no longer the future, it’s the present, what are your experiences?

What do you think?

Probably yes if the issue of new green technologies, the development of emission-free clean energy is a priority in the energy policy shaped by the government. Efficient application of artificial intelligence and Big Data Analytics technologies can help improve system energy security management processes and increase this security. However, it is crucial to effectively combine the functionality of artificial intelligence and Big Data Analytics technologies and efficiently apply these technologies to manage the risk of energy emergencies, analyze the determinants shaping the development of energy and energy production, analyze the factors shaping the level of energy security, and forecast future energy production in the context of forecasting changes in the level of energy demand, energy production from specific types of energy sources and the possibility of energy production from specific types of energy sources determined by specific determinants.

In view of the above, I address the following question to the esteemed community of scientists and researchers:

And what is your opinion on this topic?

What is your opinion on this issue?

Please answer,

I invite everyone to join the discussion,

Thank you very much,

Best wishes,

Dariusz Prokopowicz

How can I check the status of a manuscript that I have submitted to JMIS (Journal of Management Information Systems)? I submitted my manuscript via e-mail and I did not receive any reply e-mail confirming the success of my submission.

Please suggest interdisciplinary journals/ Followers psychology / Psychology journals that are indexed by SCOPUS or WoS for research scholars working in the field of psychology, preferably without article publication charges (APCs) or with extremely low APCs. Please provide a suggestion for me. Thank You!

Senior management.

Is Time Money? Does Using Your Time Adequately Impact Your Financial Performance?

I am looking for researchers dealing with Management Aesthetics, Art Management, or Management Art. Fields of interest: publications and projects.

As an GJSD Editorial Board advisor together with Editor-in-Chief @Judit Beke, let us invite you and your MA, PhD students to this call for papers.

If you are researching skills development or want to share a study case on based on your practices, feel invited to submit your paper to #GJSD - GILE Journal of Skills Development.

No submission fee is required, and all articles are available free-of-charge upon online publication on the GJSD website.

This open-access journal is focussed on primary and secondary research in competence (skills) development.

It publishes research on 21st Century skills and it emphasises the need for substantial training in this regard across the entire education system and at all levels.

This includes #interpersonal #skills, #softskills, #digitalskills,

#medialiteracy and other #transferrableskills, #Adaptability and #changemanagement, #emotionalintelligence, #empathy, #innovation and #creativity skills, complex #problemsolving skills, #communication skills, stress and anxiety management, #leadership skills and effective #decisionmaking.

The GJSD accepts research articles, research reports, literature reviews, study cases and book reviews by August, 30 2023

Any source/s to refer to on identifying methodological gaps/methodology gaps in research?

Please mention the links.

By checking the monthly project progress report of any construction project, we can track the actual cumulative project progress in percentage. But it may differ from the planned cumulative progress percentage for that month due to the several delay causes on the project. So, can we calculate the schedule cumulative percentage of work completion for that month by comparing the baseline schedule and as built schedule of the project?

The development of innovation and entrepreneurship, including the effective development of innovative startups using new technologies in business, is among the key determinants of a country's economic development. Among the important factors supporting the development of innovativeness and entrepreneurship, apart from system facilitations, a favourable tax system, low interest rates on investment loans, available non-refundable financial subsidies, there is also the issue of the possibility of implementing new technologies, including Industry 4. 0, including, but not limited to, technologies such as artificial intelligence, machine learning, deep learning and Big Data Analytics, Internet of Things, digital twins, multi-criteria simulation models, cloud computing, robots, horizontal and vertical data system integration, additive manufacturing, Blockchain, smart technologies, etc., can be helpful in the process of improving the management of economic entities, including service companies, manufacturing enterprises and innovative start-ups. These information technologies and Industry 4.0 can also help to improve Business Intelligence used in business management. The key issue is the proper combination of applied Industry 4.0 technologies to create computerised platforms supporting the processes of managing both the current, operational functioning of economic entities and in the processes of forecasting the determinants of the development of companies and enterprises, in the creation of forecasting models of simulation of development for a specific economic entity, which may also be an innovative start-up. In recent years, attempts have been made in larger business entities, corporations, financial institutions, including commercial banks, to create computerised Business Intelligence analytical platforms improved through a combination of applied technologies such as machine learning, deep learning and a specific generation of artificial intelligence applied to Big Data Analytics platforms. Such processes for improving Business Intelligence analytical platforms are carried out in order to support the management of the effective operation and development of a commercially operating specific business entity. Therefore, in a situation where specific financial resources are available to create analogous Business Intelligence analytical platforms, it is possible to apply an analogous solution to support the management of the effective operation and development of a commercially functioning specific innovative start-up.

In view of the above, I address the following question to the esteemed community of scientists and researchers:

And what is your opinion on this topic?

What is your opinion on this subject?

Please respond,

I invite you all to discuss,

Thank you very much,

Best wishes,

Dariusz Prokopowicz

The technology of digital twins is used, among other things, to simulate production, logistics processes in business entities, i.e. in the microeconomic field. The creation of digital twins for specific economic and financial processes carried out in economic entities supports the management of these entities. Computer simulations of e.g. production processes, offering of services, supply and procurement logistics, distribution logistics, marketing communication with customers, etc. save time and money, as possible errors in decisions generate much smaller negative effects if they are realised not within the framework of real processes and a kind of experimentation on a functioning enterprise, company, corporation, institution, etc., but within the framework of computer simulation. but within the framework of a computer simulation in which various alternative variants of the development of the economic and financial situation of a company are considered and compared with each other as forecasts of specific processes defined for the following days, weeks, months, quarters or years. Therefore, since the pandemic, many companies and enterprises in Poland have been investing in the creation of IT systems equipped with digital twin technologies, within which it is possible to create multi-criteria, multi-faceted, complex simulation models of specific economic and other processes realised within the company, and/or simulation of processes realised at the level of the company's relations with the environment, with business partners, customers, cooperators, etc.

On the other hand, the possibilities of creating simulations for macroprocesses, i.e. e.g. macroeconomic processes, natural processes, technological processes, geological processes, social processes, long-term climate change, cosmological processes, etc., through the use of digital twin technologies and also other Industry 4.0 technologies, including learning machines, deep learning, artificial intelligence, analytics carried out on Big Data Analytics platforms, are a matter of debate. Year on year, due to technological advances in ICT, including the use of new generations of microprocessors characterised by ever-increasing computing power, the possibilities for increasingly efficient, multi-criteria processing of large collections of data and information are growing. Artificial intelligence can be particularly useful in the field of selective and precise search for specific, defined types of information and data extracted from many selected types of websites and real-time transfer and processing of these data in database systems organised in cloud computing on Big Data Analytics platforms, which would be accessed by a system managing a built and updated model of a specific macro-process using digital twin technologies.

In view of the above, I address the following question to the esteemed community of scientists and researchers:

What do you think about this topic?

What is your opinion on this subject?

Please respond,

I invite you all to discuss,

Thank you very much,

Warm regards,

Dariusz Prokopowicz

Since, OSA is considered highly important topic/issue for Pediatric or General Dental Practitioners particularly in context of its early diagnosis and timely management/referral to medical professionals. So, we should discuss here regarding the recent novel scientific evidence-based modalities/ways for the effective dental management along with inter-disciplinary approach and other aspects of such respiratory disorder.

The scientific discussion here from medical and dental professional globally in this regard would be utmost significant for increasing awareness in different health professionals and, furthermore to keep them updated.

Where is the Jade due to the throwing out of a brick and a paving stone?

A brand new conception of preferable probability and its evaluation were created, the book was entitled "Probability - based multi - objective optimization for material selection", and published by Springer, which opens a new way for multi-objective orthogonal experimental design, uniform experimental design, respose surface design, and robust design, discretization treatment and sequential optimization, etc.

It aims to provide a rational approch without personal or other subjective coefficients, which is available at https://link.springer.com/book/9789811933509,

DOI: 10.1007/978-981-19-3351-6.

Best regards.

Yours

M. Zheng

Henry Mintzberg did his Ph.D thesis studying 10 executives. He wrote a book about ten different role of a successful manager. Frederic Taylor invented the scientific management theory By observing the work in the factory!

Adam Smith studies the pin's factory and wrote a book about the Wealth of Nations...

What are the basis for good theory? Is it a statistical rigorous approach? Or is it à in depth understanding of the reality? How can we write a good theory which is a statement of causality! A Good theory help us to understand or predict the future

Does your organization currently leverage the principles of Leader-Member Exchange?

I am looking for a medium-sized organization using LMX theory to conduct a doctoral study on the Experiences of Demographically Diverse Mid-Level Managers in Leader-Member Exchanges. I need 10-15 volunteers for an hour interview conducted via Zoom. If interested, please contact me at jlarks@email.phoenix.edu or (302) 824-9257.

I would love to hear about any materials you have found helpful and have inspired you to suggest to graduate students, doctoral students, researchers, and academicians to read for understanding or for refreshing their knowledge on research methodology and emerging research methods in social science (or management in specific but not necessary). These can be anything, for example, new books, classic books, and journal articles.

I hope the answers will help to create a comprehensive list of suggested readings on Research Methodology and Research Methods that would be helpful to anyone interested. Thank you!!

It is estimated (e.g. by IMO) that there is only 1-2% of women working at sea. What are the causes of this underrepresentation? Do women themselves are not willing to undertake such professional challenges? Are the socio-cultural obstacles (biases)? Maybe the sector needs more diversity management programmes? Maybe there are some legal obstacles, maybe in some countries or under some conventions women are not allowed to enter maritime professions? Do you think is there a growing tendency of women's presence at sea?

Greetings respectable community of ResearchGate. I encountered some issues while gathering data from the World Bank Database, hence I would like to know if there are alternatives or other websites like the World Bank Database in which we can gather raw data.

The website can contain whatever form of indicators such as (developments, governance, competitiveness, economics, financial sector, etc.….) Thank you in advance for your assistance.

Many people say time flows quicker and quicker. To some extent it is just the matter of getting older - one year for a fifty-years old is only 2% of their life and for a twenty-year old - 5%. Another aspect is our cognitive processes change, we get used to many stimuli so do not experience the present moment so intensively as children. But maybe our life is getting faster and faster (due to all the machines and equipments which are to make our life more comfortable but on the other hand need servicing, caring etc.) and we are expected to work faster or produce more and that is why we have no time left to notice or feel the time flow itself. Is an hour something less for you now than it used to be? Is this acceleration and inflation the social phenomenon (not only individual and cognitive)?

Hello. I'm currently in the process of conducting a systematic literature review of 'goal conflict'. Obviously, I'm looking at goal conflict research and known relations e.g., paradox, multiple goals, dual identities etc.

However, I need to uncover papers that may be relevant for goal conflict but may not necessarily be called or reference 'goal conflict' (e.g., paradox, dual identities). Does anyone have any suggested direction? I'm interested in org psych, management, marketing, social psych, sociology and any other fields where I may be able to further develop the conceptualisation of goal conflict.

Many thanks,

Ellie Lucas

Business analytics, financial analysis, organisational management systems, decision support systems, risk management systems, etc. have been improved in recent years through the implementation of new ICT, Internet and Industry 4.0 information technologies. However, to what extent does the application of new ICT, Internet and Industry 4.0 information technologies in the aforementioned systems of performed analysis, management, etc. generate efficiency gains in the operation of these processes? How and to what extent are risk management systems improved through the application of new ICT, Internet and Industry 4.0 information technologies? Which of the applied ICT, Internet and Industry 4.0 information technologies have contributed the most in terms of increasing the effectiveness of the implementation of risk management processes?

What do you think about this subject?

Please reply,

I invite you all to discuss,

Thank you very much,

Regards,

Dariusz Prokopowicz

We know that knowledge management transcends or goes beyond information management, but what process do you think should be followed so as not to evaluate them separately?

Please share valid links if any, otherwise share your thoughts.

thanks in advance

The global financial crisis of 2007-2009 was the result of a number of factors that started as early as the 1990s and were then compounded at the beginning of the 21st century. Many mistakes were made at the time, both at the level of monetary policy, in terms of over-liberalisation of the functioning of financial markets and banking entities (in the mid-1990s, the separation of the functioning of deposit and loan banking from investment banking was abolished). Allowed to grant mortgages to uncreditworthy citizens. The missing funds for granting bad loans, i.e. loans that in 99 per cent probability would not be repaid on time, were no longer obtained from bank deposits but from derivative securities issued for this purpose, which were sold as subprime bonds to successive investment banks as secure and profitable investment financial instruments. Credit rating agencies gave these credit derivatives the highest AAA ratings, which just before the onset of the global financial crisis was no longer factually correct and was a clear example of a breach of good business ethics. There was also a high level of systemic credit risk arising from the underwriting of many of the thus unreliable mortgages by a small number of commercially operating insurance companies. There has been a lot of unreliability, the application of unethical business practices in credit risk management both at a systemic level and at the level of individual banking entities. The credit risk management process in investment banks at the beginning of the 21st century was not working efficiently and effectively. The banking procedures were not adequately adapted to the current realities of the technological advances taking place and new financial instruments, derivatives being created in a highly liberalised prudential standard of credit risk control. I have researched this issue and described these issues in publications that are posted on my profile on this Research Gate portal. I had researched the issue of improving the credit risk management processes carried out in commercial banks even before the global financial crisis of 2007-2009. Some procedural and normative issues have been corrected but rather not all, which should be corrected so that a similar financial crisis does not occur again in the future.

In view of the above, I address the following research question to the esteemed community of researchers and academics:

What is your opinion on this subject?

Please reply,

I invite you all to discuss,

Thank you very much,

Best wishes,

Dariusz Prokopowicz

Hi everyone,

I am currently writing a master's thesis at a small startup about strategic positioning. I have already studied the literature in detail. Very often the tool Value Proposition and USP is mentioned in the implementation of strategic positioning, but unfortunately the statements about it are often a bit different and I don't understand the connection 100%. Strategic positioning lies in the area of tension between customer and competitor and thus has many overlaps with the two terms mentioned. Once the positioning must be a USP / UAP against the competition, but at the same time also bring value to the customer, here the value proposition can be applied. What confuses me is that sometimes both the USP/UAP and the Value Proposition are done before the strategic positioning and sometimes not. I would like to find some literature that shows the connection in terms of a process or with the correlations. Is there anything like that?

I thank you in advance!

Inflation has been rising in many countries since 2021. In recent months, inflation has already been running at double-digit levels in many countries.

The prices of fuel, energy, food, building materials, tourism services, ... are rising.

Have you changed your purchasing practices as a result of rising inflation?

Has rising inflation reduced your level of consumption or is it irrelevant in this regard?

What is your opinion on this topic?

Please reply,

I invite you all to discuss,

Thank you very much,

Regards,

Dariusz Prokopowicz

Which countries use permanent income hypothesis for managing their oil wealth?

I am a researcher student. I noticed that many scholars used scales developed in western context. However, may constructs manifest differently in different cultures. Thus, I have to develop scales by myself. After reading some papers related to scale development, I found the "item generation" stage is the most difficult. I invite researchers who have experience in scale development to share their tips in "item generations" and other stages. For example, is interview the only approach to generate items? Are there any tips for item generation? Are there any other suggestions for scale development?

Thanks !!!

Is Bartlett's test alone enough for hypothesis testing? or Chi square has to be tested along with in a dissertation for a Ph.D study in the field or social science?

The longer we are in the field and do sufficient reading, the easier it is to know the key journals in the field.

However, there are more and more journals merging into bigger aglomerates as well as the new ones arising, so I try using AI-based tools to upload your abstract and keyword and to find out a list of journals suitable for it.

This list will narrow down the journals examination on their credibility, indexing and impact factor:

I would like to do my end-of-the-year research paper on this topic, but I am struggling to find papers related to this subject.

As a fan of negative dialectics, and of critical studies in a organisation and management context, I believe concepts such as leadership, management and entrepreneurship are inherently dialectically flawed. These concepts emerge from certain contexts; they possess a variability which is difficult to pin down. I am interested in opinions on teaching these subjects without teaching them per se, but teaching aspects/key-dimensions of the contexts within which such concepts emerge. Please do let me know your thoughts.

Soil fauna play a central role in three ecological functions:

1. Dynamics of organic matter and its mineralization,

2. Regulating the primary production in an ecosystem,

3. Developing and maintaining the soil structure.

I would be grateful to see the comments and ideas of soil researchers in this case.

COVID-19 is mainly a respiratory disease that affects the lung, although other organ structures with endothelium seems to be affected too.

When should we do imaging?

What is the aim of the imaging?

How can it help with management?

Do you agree with the following consensus statement?

How will you adjust your own practice and difficulties encountered? Why?

Ref:

The Role of Chest Imaging in Patient Management during the COVID-19 Pandemic: A Multinational Consensus Statement from the Fleischner Society. Chest. 2020 Apr 07.

Hi everyone,

I want to write my Sop and i am in the process of applying for Phd.

please recommend me how to add research interests to attract The committee's attention.

Also, please suggest to me research interests just in Epiricial financial accounting and behavioral accounting.

Thanks.

Dear Researchers

I would like to pursue my PhD in the area of either General Management or Marketing. I would also be thinking of integrating these two areas which would give a phenomenal contribution. Hence, It would be a great help if anyone can give me a suggestion or idea on any researchable issue or topic that integrate Management and Marketing.

Thanks

Thowfeek Ahamed

Schumpeters theory of "creative destruction" states that capitalism is never static, it is always evolving and old products are replaced by new ones. There is however a lag, or overlap where the old product still exist and people cintinue to invest in its development , but also at the same time a development of newer and better products.A prime example is the issue of type writers that was evolving even though computers started to overtake typewriters in sales and even as computers became the dominant product. Some as a well known Swedish manufacturer named Facit invested so heavily and could not see what was happening that they didnt seek to develop new and different products. In some cases governments are seeking to protect the old by regulation or other supportive meassures. One example of this is the use of fossile fuel in the US. Something critics fear will prevent the development of greener and more effective sources of energy. My question is, should governments like this support industries for the sake of employment or other reasons, or should Darwinism take its course? Is the developlent of new products always a good thing? Maybe we will have a rise of the Maschines and Terminators roaming the streets, or perhaps the development of new techlologies is a good thing in most cases and should not be hindered. What are your thoughts? The word is free!

Best wishes Henrik

I have conducted research looking at employee satisfaction with how employers handled their employees mental health during the initial phases of the Covid-19 pandemic. I sent out questionnaires to employees that measured three different scales, mental health knowledge, general wellbeing and employee satisfaction.

I am interested in looking at the comparison between all the scales. For example, employees overall knowledge compared to their satisfaction. I would like to compare each scale to the other two. Can anybody please give me advice on which tests are most appropriate to apply to the data on SPSS to interpret the findings asap.

Thank you in advance!

What will be the future applications of analytics of large data sets conducted in the computing cloud on computerized Business Intelligence analytical platforms in Big Data database systems in enterprise logistics management?

The analytics conducted on computerized Business Intelligence platforms is one of the key advanced information technology technologies of the fourth technological revolution, known as Industry 4.0. The current technological revolution described as Industry 4.0 is determined by the development of the following technologies of advanced information processing: Big Data database technologies, cloud computing, machine learning, Internet of Things, artificial intelligence, Business Intelligence and other advanced data mining technologies.

The analytics conducted on computerized Business Intelligence platforms currently supports business management processes, including logistics management.

In my opinion, the use of analytics of large data sets conducted in the computing cloud on computerized Business Intelligence analytical platforms in Big Data database systems in enterprise logistics management, including supply logistics, production logistics, provision of services and distribution of manufactured products and services, is currently growing.

The analytics conducted on large data sets conducted in the cloud computing on Business Intelligence computerized platforms in Big Data database systems makes it particularly easy to identify opportunities and threats to business development, allows for quick generation of analytical reports on selected issues in the economic and financial situation of the business entity. In this way, the generated reports can be helpful in the processes of enterprise logistics management, including supply logistics, production logistics, provision of services and distribution of manufactured products and services.

Do you agree with my opinion on this matter?

In view of the above, I am asking you the following question:

What will be the future applications of analytics of large data sets conducted in the computing cloud on computerized Business Intelligence analytical platforms in Big Data database systems in enterprise logistics management?

Please reply

I invite you to the discussion

The issues of the use of information contained in Big Data database systems for the purposes of conducting Business Intelligence analyzes are described in the publications:

I invite you to discussion and cooperation.

Best wishes

What kind of scientific research dominate in the field of Improving credit risk management?

Please, provide your suggestions for a question, problem or research thesis in the issues: Improving credit risk management.

Please reply.

I invite you to the discussion

Thank you very much

Best wishes

The current technological revolution, known as Industry 4.0, is determined by the development of the following technologies of advanced information processing: Big Data database technologies, cloud computing, machine learning, Internet of Things, artificial intelligence, Business Intelligence and other advanced data mining technologies.

In connection with the above, I would like to ask you:

Which information technologies of the current technological revolution Industry 4.0 to the greatest extent support the enterprise management process?

Please reply

Best wishes