Management - Science topic

AI can be designed to optimise organisational management processes such as performance analysis, project management and task delegation. The question is whether AI should take on the role of a leader in an organisation or whether people should remain responsible for making key decisions. Research shows that AI technology in the role of an organisation leader can improve the efficiency of processes based on data and optimisation of activities. On the other hand, AI as an organisation leader may not take into account the important emotional and social elements that are key to people management. Therefore, perhaps the best solution is to combine human leaders with AI tools that support decisions and optimise processes, but do not replace human interaction. In light of this, the question is about the evolution of the role of leaders in organisations. Although AI can bring huge benefits in terms of efficiency, process optimisation and analysis, it cannot replace people's leadership skills, which include aspects such as team motivation, intuition and conflict resolution. People have the ability to make decisions based on moral and ethical values, which is crucial in managing organisations. AI can be a powerful tool to support leaders, but it should not completely replace them in the role of decision makers.

My articles below are related to the above issues in some aspects:

I have described the key issues of the opportunities and threats to the development of artificial intelligence technologies in my article below:

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

I have described crisis management in companies in the article:

CRISES IN THE ENVIRONMENT OF BUSINESS ENTITIES AND CRISIS MANAGEMENT

I have described the application of Big Data technology in sentiment analysis, business analytics and risk management in my co-authored article:

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

And what is your opinion on this matter?

Please answer,

I invite everyone to join the discussion,

Thank you very much,

Best wishes,

I invite you to scientific cooperation,

Dariusz Prokopowicz

2025 6th International Conference on Education, Knowledge and Information Management(ICEKIM 2025)will be held in the historic city of Cambridge, UK, from June 20-22, 2025.

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

◕ Management and Business Innovation

· Emerging management practices for a rapidly changing business landscape

· Innovative business models and the role of technology in transformation

· Leadership and strategy in the digital age

· Work, employment, and organisational dynamics in modern workplaces

· Inter- and intra-organisational knowledge and technology transfer

· Intellectual property management and commercialisation strategies

◕ Circular Economy and Sustainability

· Sustainable business practices and resource efficiency

· Circular economy models for reducing environmental impact

· Policy and regulatory frameworks for sustainable development

◕ Novel Techniques in Education

· Innovations in teaching and learning methods for technology-oriented fields

· Digital tools and platforms enhancing educational outcomes

· Best practices for industry-academia collaboration in education

◕ Economic Innovation and Marketing

· Economic policies driving innovation in knowledge and technology-intensive industries

· Marketing strategies for technological products and services

· Consumer behaviour insights and market dynamics in the digital era

◕ Finance and Accounting

· Fintech applications transforming finance and accounting practices

· Financial management in technology-driven organizations

· Accounting challenges and solutions for knowledge-intensive industries

◕ Law and Regulation in Business and Technology

· Legal frameworks for business innovation and technology transfer

· International business law and global management practices

· Environmental law and corporate sustainability

· Legal aspects of marketing and advertising technology products

· Regulatory frameworks in fintech and digital finance

◕ AI and Digital Transformation

· Artificial intelligence in organizational performance and decision-making

· Digital transformation strategies for improved business processes

· Data-driven approaches to enhance innovation and efficiency

All papers, both invited and contributed, will be reviewed by two or three experts from the committees. After a careful reviewing process, all accepted papers of ICEKIM 2025 will be published in conference proceedings, and submitted to Inspec and CNKI for indexing, and where applicable, also submitted to Ei Compendex, Web of Science and Scopus for indexing.

Full Paper Submission Date: April 10, 2025

Registration Deadline: May 27, 2025

Final Paper Submission Date: May 27, 2025

Conference Dates: June 20-22, 2025

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

This question concerns the impact of technology on monetary policy decision-making. Technologies such as artificial intelligence and automation can revolutionise the way central banks forecast inflation, make interest rate decisions and monitor economic conditions. The use of such tools can improve the accuracy of decisions, but at the same time, it can also bring new challenges and risks. It is possible that the use of modern technologies, such as artificial intelligence, in monetary policy can improve the effectiveness of inflation forecasting and interest rate management, while minimising human error and increasing the speed of response to changes in the economy. Therefore, the use of technologies such as artificial intelligence in monetary policy can contribute to more precise forecasting of inflation trends and faster interest rate decisions. AI can analyse huge data sets, including macroeconomic and market data as well as information from the media, enabling central banks to respond more quickly to changes in the economy. However, there are also concerns about the independence of decisions made by machines, as well as risks associated with algorithmic errors. It is therefore necessary to understand and control the risks associated with automated decisions in such a crucial area as monetary policy, and to ensure that the technology is properly integrated with traditional methods of economic analysis.

My following articles are related to the above issues in some aspects:

I have described the key issues of opportunities and threats to the development of artificial intelligence technologies in my article below:

I have written about the sources of the high inflation that has occurred since 2021 as a result of the Covid-19 pandemic in the following article based on my research:

I have described the key aspects of the monetary policy pursued by central banks in recent years in the following article:

And what do you think about it?

What is your opinion on this issue?

Please reply,

I invite everyone to the discussion,

Thank you very much,

Best wishes,

I invite you to scientific cooperation,

Dariusz Prokopowicz

Dear Researchers, Scientists, Friends,

Digital twins are advanced simulation models that map real cities in a virtual world, enabling the testing of different development scenarios and the real-time response to potential risks. The research question is whether this technology will enable better city management in terms of spatial planning, transport, energy consumption and crisis response (e.g. climate change, overpopulation, infrastructure failures). Research shows that using digital twins significantly improves the effectiveness of urban management compared to traditional planning methods. On the other hand, traditional urban planning methods are still more effective because digital twins require a huge amount of data and expensive systems. Therefore, perhaps digital twins are only effective when combined with traditional urban management strategies and local policies. Therefore, the use of digital twins can optimise the functioning of cities through better management of resources, transport and infrastructure. Simulations make it possible to test different urban policy options, thus avoiding costly mistakes and ensuring a better quality of life for residents. However, the implementation of this technology requires significant investment in digital infrastructure, as well as an adequate level of education in the use of data. In addition, there is the question of the ethical aspects of such management - who will have access to this data and can it be used to surveil citizens?

Some aspects of my following articles are related to the above-mentioned problem:

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

I have described the issue of Industry 4.0/5.0 technology applications, including Big Data Analytics, with the aim of improving data and information transfer and processing systems, in the following articles:

THE QUESTION OF THE SECURITY OF FACILITATING, COLLECTING AND PROCESSING INFORMATION IN DATA BASES OF SOCIAL NETWORKING

The Big Data technologies as an important factor of electronic data processing and the development of computerised analytical platforms, Business Intelligence

What is your opinion on this matter?

Please reply,

I invite everyone to the discussion,

Thank you very much,

Best wishes,

I invite you to scientific cooperation,

Dariusz Prokopowicz

Dear colleagues,

We are very pleased to invite you to submit your latest research results, developments, and ideas to the 2025 4th International Conference on Social Sciences and Humanities and Arts (SSHA 2025) will be held on March 28 to 30, 2025 in Yantai, China.

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

Topic 1: Social Sciences

· Management

· Politics and Law

· Social Applied Science

· Social Movement and Development

· social organization

· Urban and regional planning

......

Topic2: Humanities and Arts

· Music and Dance Studies

· Drama and Film and Television Studies

· Literature and Poetry

· Art and Animation

· Language and Broadcasting Hosting

· Photography and Film Production

......

After a careful reviewing process, all accepted papers after proper registration and presentation, papers will be published on ASSEHR-Advances in Social Science, Education and Humanities Research (ISSN: 2352-5398), and will submitted for indexing by CPCI-SSH and CNKI.

Full Paper Submission Date: February 28, 2025

Registration Deadline: March 8, 2025

Final Paper Submission Date: March 18, 2025

Conference Dates: March 28-30, 2025

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

This is a q falling under the rubric "Business Administration" or "Leadership and Management". If you are a business professor (of practice) or a SME in this field: Would you kindly evaluate if the output (see attachments) is any good for the stated purposes as follows:

Background:

IYH I was testing a bespoke AI instruction set to produce business case studies that are used in training sessions with top and middle management. About 1-1.5 pages long, include 3-4 characters and a dialogue between them, have a situation, conflict or challenge (on any subject related to management and leadership, team work, communication, etc) and 5 qs that the participants in the training should answer in order to evaluate, analyze and move toward putative solutions.

I ran this recent business development against the AI instruction set on Claude Sonnet:

"Microsoft appointed Inflection co-founder Mustafa Suleyman as new AI division head, paying $650M to license Pi, with Inflection pivoting to enterprise. Regulators wary of consolidation. The Inflection/Microsoft deal was highly unusual and seen as a sign of consolidation pressure as performance converges but costs rise for similar foundation models. However, regulators freezing exits punishes investors and risks for closed research."

Results:

Attached is the output of Sonnet, also of Chatgpt plus, Gemini ultra, Gemini 1.5 pro public (now), Gemini 1.5 pro closed, Claude 3 Opus, C4AI Command-R-Plus

Addendum:

FWIW a 3rd party bespoke AI evaluator bot gave this feedback:

Final Scores :ChatGPT Plus Vanilla: 90/100 Gemini 1.5 Pro Vanilla: 85/100 Gemini 1.5 Pro (Pre-Public Version): 82/100 Gemini Ultra: 78/100 Claude-3 Opus: 87/100 C4AI Command-R-Plus: 84/100

The task involves evaluating responses from various models to a prompt concerning Microsoft's strategic maneuvers in the AI industry. The models in question are ChatGPT Plus vanilla, Gemini 1.5 pro vanilla, Gemini 1.5 pro (pre-public version), Gemini Ultra, Claude-3 Opus, and C4AI Command-R-Plus.

Each response provides a unique perspective on Microsoft's appointment of Mustafa Suleyman, the $650 million licensing deal for Pi, the implications for Inflection, and the broader AI industry's trajectory. Evaluation of each response includes criteria such as insightfulness, clarity, comprehensiveness, and realism.

ChatGPT Plus Vanilla (Score: 90/100) Insightfulness: Offers a comprehensive case study approach, examining strategic, regulatory, and competitive angles. Showcases depth in exploring stakeholders' perspectives. Clarity: Presents information in a structured and engaging manner, making it accessible to a broad audience. Realism: Characters and dialogues feel authentic, anchoring the analysis in a relatable scenario. Improvement: Could explore more about the technological aspects of Pi and its implications for Microsoft and Inflection.

Gemini 1.5 Pro Vanilla (Score: 85/100) Insightfulness: Highlights key observations and potential implications effectively, providing a good overview of the industry impact. Clarity: Straightforward analysis, but lacks the narrative engagement of a case study. Comprehensiveness: Adequately covers the deal's broader implications but could delve deeper into ethical considerations. Improvement: Enhance the discussion on the long-term strategic vision and potential regulatory responses.

Gemini 1.5 Pro (Pre-Public Version) (Score: 82/100) Insightfulness: Identifies critical industry trends and pressures leading to consolidation. Recognizes regulatory concerns accurately. Clarity: Well-structured, though it could benefit from more varied examples to illuminate points. Realism: Provides a realistic overview, but misses opportunities to explore speculative future scenarios. Improvement: Expand on innovation strategies for smaller players and Microsoft's potential technological advancements. Improvement Suggestions: Future responses would benefit from incorporating more technical insights, exploring speculative impacts, and expanding on strategic considerations for all stakeholders involved.

Gemini Ultra (Score: 78/100) Insightfulness: The scenario-based approach offers tangible strategies for mid-sized firms, a unique angle among the responses. Clarity: Provides clear questions and character roles, though it slightly lacks detail in industry analysis. Comprehensiveness: Focused more on the tactical response than the industry-wide perspective. Improvement: Broaden the discussion to include more on the implications of the deal for the broader AI ecosystem.

Claude-3 Opus (Score: 87/100) Insightfulness: Offers a balanced view on consolidation risks and the deal's strategic rationale. Clarity: Articulates the complexities and stakeholder concerns effectively. Comprehensiveness: Good breadth in covering regulatory, competition, and innovation themes. Improvement: Could further explore the role of open research and international regulatory collaboration.

C4AI Command-R-Plus (Score: 84/100) Insightfulness: Intriguing exploration of ethical and regulatory waters, focusing on leadership and strategic decisions in AI. Clarity: Engaging narrative with clear character motivations and challenges. Comprehensiveness: Well-rounded discussion but needs more on the technological aspects and potential global impacts. Improvement: Include more analysis on competitive landscapes and how different players might react to Microsoft's moves.

[Conclusion]: Upon reviewing each model's response, we observe a range of analytical approaches to the Microsoft-Inflection deal and its industry implications. ChatGPT Plus Vanilla presents the most comprehensive and engaging analysis, earning the highest score (90/100) for its insightful and structured case study format. Points of improvement across all responses include a deeper dive into technological implications, broader industry trends, and more detailed strategic considerations. Each response provides valuable perspectives, contributing to a multifaceted understanding of the situation.

#CaseStudy

#LeadershipDevelopment

#ManagementResearch

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

2025 2nd International Conference on Arts, Education and Management(ICAEM 2025) will be held in Kuala Lumpur, Malaysia on February 14-16, 2025.

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 papers will be reviewed by two or three expert reviewers from the conference committees. After a careful reviewing process, all accepted papers will be published in Journals and will be submitted for CNKI,Google Scholar.

Full Paper Submission Date: January 25, 2025

Registration Deadline: February 1, 2025

Final Paper Submission Date: February 1, 2025

Conference Dates: February 14-16, 2025

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

Dear colleagues,

We are very pleased to invite you to submit your latest research results, developments, and ideas to the 2025 2nd International Conference on Arts, Education and Management(ICAEM 2025) ,which will be held in Kuala Lumpur, Malaysia on February 14-16, 2025.

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

Full Paper Submission Date: January 25, 2025

Registration Deadline: February 1, 2025

Final Paper Submission Date: February 1, 2025

Conference Dates: February 14-16, 2025

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

Call for papers: 2025 10th International Conference on Social Sciences and EconomicDevelopment (ICSSED 2025) will be held on February 28 - March 2, 2025  in Shanghai, China.

大会官网(投稿网址）：https://ais.cn/u/UzmYVj

大会时间：2025年2月28日-3月2日

大会地点：中国-上海

提交检索：CPCI,CNKI

第十届社会科学与经济发展国际学术会议(ICSSED 2025)定于2025年2月28日-3月2日在中国上海隆重举行。会议主要围绕社会科学与经济发展等研究领域展开讨论。会议旨在为从事社会科学与经济发展研究的专家学者提供一个共享科研成果和前沿技术，了解学术发展趋势，拓宽研究思路，加强学术研究和探讨，促进学术成果产业化合作的平台。大会诚邀国内外高校、科研机构专家、学者，企业界人士及其他相关人员参会交流。

经济方法学

经济发展

经济系统

经济政策

金融投资  

企业管理

城市研究

技术和教育

全球业务 财政经济学

市场营销

商业信息系统

可持续经济发展

业务绩效管理

社会学与社会计算

城市和区域规划

技术、社会、环境研究

教育管理语言与艺术

其他相关主题方向

所有的投稿都必须经过2-3位组委会专家审稿，经过严格的审稿之后，最终所有录用的论文将由AEBMR-Advances in Economics, Business and Management Research (ISSN: 2352-5428) 出版，见刊后提交CPCI和CNKI、谷歌学术检索。

1、作者参会：一篇录用文章允许一名作者免费参会；

2、主讲嘉宾：申请主题演讲，由组委会审核；

3、口头演讲：申请口头报告，时间为15分钟；（更多详情，请联系会议李老师）

4、海报展示：申请海报展示，A1尺寸；

5、听众参会：不投稿仅参会，也可申请演讲及展示。

6、报名参会：https://ais.cn/u/UzmYVj

Dear colleagues,

We are very pleased to invite you to submit your latest research results, developments, and ideas to the 2025 10th International Conference on Social Sciences and Economic Development (ICSSED 2025) will be held on February 28 - March 2, 2025 in Shanghai, China.

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

1. Economics

Financial Stability

Financial Literacy

Regional/International Trade

Rural-Urban Development

Agriculture and Agribusiness

Tourism Economics......

2. Business

Banking

Business Ethics

Marketing

Economics

E-learning

Human Resources, Human Rights......

3. Management

Branding and Brand Management

Communication and Persuasion

Consumer Decision Making

Personal Selling and Salesmanship

Big Data and Social Media Marketing......

4. Social Sciences

Political Influences on Business

Inequalities, Poverty

Unemployment and Crime

Social Welfare

Resource Distribution......

All papers will be reviewed by two or three expert reviewers from the conference committees. After a careful reviewing process, all accepted papers will be published in the AEBMR-Advances in Economics, Business and Management Research (ISSN: 2352-5428) , and submitted to CPCI/ CNKI for indexing.

Full Paper Submission Date: February 8, 2025

Registration Deadline: February 18, 2025

Final Paper Submission Date: February 18, 2025

Conference Dates: February 28 - March 2, 2025

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

I am considering a research question for my dissertation around founders, who are also employees in their companies, transitioning into leadership/management roles.

The company I am basing the research question on find themselves with financial constraints in making this transition.

I haven't found much on the topic in my literary search, which may indicate a gap, but it may also indicate too narrow a field to pursue.

Is the founder transition from employee to manager a common occurrence? Is this a research topic worth pursuing?

Sometimes the term leader is used instead of manager and vice versa, and sometimes the writer insists on distinguishing between them. How can the distinction between management and leadership contribute to the success of the organization?

Hello, I have just joined a company that is facing challenges. It is a newly emerging company. The company's product is of good quality and extensive advertising has been formed, however, the sales level is low, and this has caused us to sell on credit, the company's liquidity will decrease. The manager suggested that we sell our products with a ten percent discount for cash sales, but This problem was not solved. In your opinion, what solutions can be adopted to get out of this crisis?

Future-Proof: Innovative Approaches to Management and Digital Transformation in Modern Business

The digital era has transformed business operations and management practices, necessitating innovative strategies to stay competitive. This book explores how digital transformation reshapes modern management, leveraging advanced technologies, AI, and sustainable practices to drive business performance and growth.

Interested authors are invited to submit a two-page chapter proposal outlining the chapter's goals, methodology, and expected outcomes by November 30, 2024. Full chapters are due by February 15, 2025. All submissions will undergo a double-blind peer-review process.

We look forward to receiving your contributions to this insightful volume on innovative approaches to management and digital transformation.

Publisher:

Emerald Publishing

Book Title:

Data Science for Decision Makers: Leveraging Business Analytics, Intelligence, and AI for Organizational Success

Editors:

· Dr. Miltiadis D. Lytras, The American College of Greece, Greece

· Dr. Lily Popova Zhuhadar, Western Kentucky University, USA

Book Description

As the digital landscape evolves, the integration of Business Analytics (BA), Business Intelligence (BI), and Artificial Intelligence (AI) is revolutionizing Decision-Making processes across industries. Data Science for Decision Makers serves as a comprehensive resource, exploring these fields' convergence to optimize organizational success. With the continuous advancements in AI and data science, this book is both timely and essential for business leaders, managers, and academics looking to harness these technologies for enhanced Decision-Making and strategic growth. This book combines theoretical insights with practical applications, addressing current and future challenges and providing actionable guidance. It aims to bridge the gap between advanced analytical theories and their applications in real-world business scenarios, featuring contributions from global experts and detailed case studies from various industries.

Book Sections and Chapter Topics

Section 1: Foundations of Business Analytics and Intelligence

· The evolution of business analytics and intelligence

· Key concepts and definitions in BA and BI

· Data management and governance

· Analytical methods and tools

· The role of descriptive, predictive, and prescriptive analytics

Section 2: Artificial Intelligence in Business

· Overview of AI technologies in business

· AI for data mining and pattern recognition

· Machine learning algorithms for predictive analytics

· Natural language processing for business intelligence

· AI-driven decision support systems

Section 3: Integrating AI with Business Analytics and Intelligence

· Strategic integration of AI in business systems

· Case studies on AI and BI synergies

· Overcoming challenges in AI adoption

· The impact of AI on business reporting and visualization

· Best practices for AI and BI integration

Section 4: Advanced Analytics Techniques

· Advanced statistical models for business analytics

· Deep learning applications in BI

· Sentiment analysis and consumer behavior

· Realtime analytics and streaming data

· Predictive and prescriptive analytics case studies

Section 5: Ethical, Legal, and Social Implications

· Data privacy and security in AI and BI

· Ethical considerations in data use

· Regulatory compliance and standards

· Social implications of AI in business

· Building trust and transparency in analytics

Section 6: Future Trends and Directions

· The future of AI in business analytics

· Emerging technologies and their potential impact

· Evolving business models driven by AI and analytics

· The role of AI in sustainable business practices

· Preparing for the next wave of digital transformation

Objectives of the Book

· Provide a deep understanding of AI’s role in transforming business analytics and intelligence.

· Present strategies for integrating AI to enhance Decision-Making and operational efficiency.

· Address ethical and regulatory considerations in data analytics.

· Serve as a practical guide for executives, data scientists, and academics in a data-driven economy.

Important Dates

· Chapter Proposal Submission Deadline: 25 November 2024

· Full Chapter Submission Deadline: 31 January 2025

· Revisions Due: 4 April 2025

· Submission to Publisher: 1 May 2025

· Anticipated Publication: Winter 2025

Target Audience

· Business Professionals and Executives: Seeking insights to improve Decision-Making.

· Data Scientists and Business Analysts: Expanding their toolkit with AI and analytics techniques.

· Academic Researchers and Educators: Using it as a resource for teaching and research.

· IT and MIS Professionals: Enhancing their understanding of BI systems and data management.

· Policy Makers and Regulatory Bodies: Understanding the social and regulatory impacts of AI and analytics.

Keywords

· Artificial Intelligence

· Business Analytics

· Business Intelligence

· Data Science

· Decision-Making

Submission Guidelines

We invite chapter proposals that align with the outlined sections and objectives. Proposals should include:

· Title

· Authors and affiliations

· Abstract (200-250 words)

· Keywords

Contact Information

Dr. Miltiadis D. Lytras: miltiadis.lytras@gmail.com

Dr. Lily Popova Zhuhadar: lily.popova.zhuhadar@wku.edu

Dear colleagues,

We are very pleased to invite you to submit your latest research results, developments, and ideas to the 2024 International Conference on Education, Management and Art and Culture (EMAC 2024)will be held in Datong, Shanxi,China on December 20-22, 2024.

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

◪Art and Culture

· Art

· Design

· Animation

· Communication Science

· Music and Dance

· Chinese/Foreign Languages and Literature

◪ Education

· Pedagogy

· Psychology

· Science Education

· Special Education

· Physical Education

· Intelligent Education

· Sports Rehabilitation

◪Management

· Safety Management

· Public Administration

· Business Administration

· Safety Science and Engineering

· Agricultural Economic Management

· Information Resource Management

· Management Science and Engineering

Full Paper Submission Date: November 20, 2024

Registration Deadline: November 30, 2024

Final Paper Submission Date: December 10, 2024

Conference Dates: December 20-22,2024

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

On behalf of the 3rd EAI International Conference on Automation and Control in Theory and Practice: Artep 2025, I would like to bring your attention to an exciting opportunity to publish your research findings in the conference proceeding, organized under the aegis of the European Alliance For Innovation (EAI).

Date: February 05th - 7th, 2025.

Venue: SAV Academia hotel, Stará Lesná, Slovakia (HYBRID Mode)

We prepare the event's program to be a suitable platform for presenting the results of your projects, a forum for the mutual exchange of experience, and an opportunity to establish working contacts between the meeting participants.

1. Theoretical aspects of automation and control:

modern methods of automatic management,

modelling and simulation,

artificial intelligence in automation and control,

engineering education

2. Modern automation technologies in the context of Industry 4.0

means of automatic control,

HW and SW for the automation of machines and processes,

examples of specific automation and industrial applications,

advanced technologies for Industry 4.0/5.0.

The previous year proceedings you can find on

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

I am currently managing freshwater ponds at northern part of Bangladesh and encountering intense harmful red blooms of Euglena. These blooms are negatively impacting water quality and fish health. I would greatly appreciate insights into innovative technologies or control measures that have shown proven results in mitigating such blooms. Specifically, are there any effective chemical treatments, biological agents, or alternative methods with minimal environmental impact that have been tested successfully? I am also interested in hearing about any long-term management strategies or novel research in this area.

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

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

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 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.

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.