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Which countries use permanent income hypothesis for managing their oil wealth?
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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 !!!
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Hi,
There might be some constructs which can be applied universally. Regarding the contextual, geography specific nature of constructs, it depends on the domain and research problem and research area.
I have developed the scale for project success in Indian context.
Yes, Item generation is among the crucial stage in scale development since identification of wrong items can result in an ill fitted scale. Interview is NOT the only approach to generate the items. Again it depends on the research problem. If you are attempting a research problem for which there is no previous theory (i.e. you are aiming for theory generation or theoretical framework generation) then you can go for qualitative interviews since they have the potential to generate insights and concepts and expand our understanding.
However, since you mentioned that constructs are manifesting differently in different cultures, it seems that theory already exists and you are attempting the research problem in a different context. For this, the best way is to have extensive review of literature to collect the scale items and their latent dimensions. From this pool of items you can short-list the constructs and related scale items after realignment and removing highly similar items to start with the process of scale development in your contextual settings. For scale development procedure you can refer DeVellis (2013) and Boateng, et al., (2018).
Virender Kumar
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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?
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For exploratory factor analysis?
Bartlett’s test will tell you whether your data fit for factor analysis or not?
And the chi-square test will tell you if there is a sufficient quantity of factors extracted to explain the variance observed in the data.
I think you will require both.
Best!!
AN
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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:
  1. Elsevier Journal Finder - http://journalfinder.elsevier.com/
  2. EndNote Match: Find the Best Fit Journals for Your Manuscript - http://endnote.com/product-details/manuscript-matcher
  3. Journal/Author Name Estimator (JANE) - http://jane.biosemantics.org/
  4. European Directory of Academic Journals -https://europub.co.uk/
  5. Springer Journal Suggester - http://journalsuggester.springer.com/
  6. Think. Check. Submit - https://thinkchecksubmit.org/
  7. Web of Science Master List - https://mjl.clarivate.com/home
  8. Edanz Journal Selector - http://www.edanzediting.com/journal_selector
  9. Enago Open Access Journal Finder - https://www.enago.com/academy/journal-finder/
  10. Smart finder - Global Journal Database - by Researcher.Life - https://researcher.life/journal
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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.
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I would like to do research on this topic, but I am facing a hurdle in the available resources
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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.
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Hi David,
I agree that teaching concepts such as leadership & management requires emergent learning, and I like Lieke's idea of using methods that sensitive students to those concepts without naming them outright. I recommend Kolb's experiential learning cycles that run from concrete experience to reflexive observation to abstract conceptualization to active experimentation. This implies setting up a work and study format that includes feedback sessions & tutored status reports.
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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.
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Nutrient transformation (fix to available) by Soil micro fauna is one of the key soil quality indicator. Apart from that nitrogen mineralization is also an important soil quality indicator. Vesicular Arbascular micorrhizae produces glomalin (glycoprotein) that is very helpful in soil aggregation and hence improve soil structure too.
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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.
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I personally believe that imaging examinations in covid should be rapid, simple and executable at the patient's bedside and therefore I believe that the most useful is LUS.
Unfortunately still today is used the chest X-ray that has been proven useless.
The purpose of LUS is to stage the pathology in order to predict its evolution, unfavorable or favorable. With LUS and blood gas analysis we can determine which patients should be discharged at home in a period when bed meals are scarce in all hospitals.
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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.
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@Hermann Gruenwald
Behavioral accounting analyzes the communication process between the accounting information system and its receiver.
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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
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Sicial marketing
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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
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Kindly visit..
Leaders 2 TimeSuccession_TermLimitsGoldenP_J,AppS0cSci_Publihsed 21.9.2019
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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!
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Respected Dana Scheriff, you have come up with an interesting question that requires our going back to basic comparison process. To understand the level of complexity hidden in your question, suppose a simple situation. During a difficult time, I indulged in some activities make them as different as possible. Suppose, hiking, reading and eating. Now, I want to compare them whether they are different from each other. In this supposed example, there is a possibility to compare time allocated to each of the activities. However, your case of comparing the values of these scales is far more complex than the supposed example.
You need to change your question a bit. You can compare different groups on the basis of these scales one at a time. For instance, you can compare the knowledge of mental health for male and female. The test in this instance will be independent samples t-test.
You can also think of using correlation or regression in this case, but comparing apple with rock would be difficult.
Yet, thanks for placing such a question.
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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
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It is rising field since intelligence and in general artificial intelligence becomes the dominant technology of current era
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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
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Dear Hazim Al Dilaimy,
Thanks and invite you to the discussion. I propose the following research topic in the field of improving credit risk management: Improving the credit risk management process in the context of the decline in lending and the decline in economic activity of enterprises caused by the economic crisis of 2020 caused by the SARS-CoV-2 (Covid-19) coronavirus pandemic.
Thank you very much,
Best regards,
Dariusz
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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
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In my opinion, in recent years the implementation of Big Data Analytics technologies, the Internet of Things, learning machines and artificial intelligence to the business activities of companies and enterprises has been increasing. improving business management systems. During the SARS-CoV-2 (Covid-19) coronavirus pandemic, the scale of digitization and internetization of economic processes increased. As part of this increase in digitization and internationalization, many manufacturing, commercial, technological, etc. companies implemented investments in the implementation of new information technologies, ICT and Industry 4.0, in order to improve specific spheres of their business activity. As part of these investments, i.a. in the IT systems of enterprises, computerized systems of digital twins are built, in which the entire production processes, logistics processes, and the functioning of machines and devices are digitally built. The digital twin systems built in this way support the systems of production process management, production logistics, supply and delivery logistics, distribution logistics, offering services, etc.
Greetings,
Dariusz Prokopowicz
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Dear network,
I am working on a paper the goal of which is to show explanatory benefits of the philosophical action theory in the field of management (abridged version: ).
The paper is almost ready, but to position it a little bit better, I need more references to important conceptual papers about the idea of action (or about centrality thereof) in the field of management and organizations.
Besides the literature on routines - any other good examples?
Thanks in advance.
piotr
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I'm looking for an interesting research topic or topics surrounding business management. Preferentially, any suggestions which have a focus on healthcare or renewable energy as these are interests of mine, but suggestions surrounding any discipline would be appreciated.
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To what extent 5G technology will affect e-commerce transactions?
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Dear all!
I hope you had a wonderful weekend. At the moment Im in the later stages of planning a hopefully good quantitative article in entrepreneurship. I will use connections in the industry (to do the dirty work of actually convincing people to participate )where Im active and my question is, what do you deem to be an acceptable sample size for a questionnaire about decision making, connecting into other areas?
It is a relatively small business community in our country so sample size can not be 1000, if yes there must be a discussion about expanding the geographical area.I know what the literature says but what is your experience regarding minimum sample size in different level journals. No need to say Im a qualitative researcher seeking to make an excursion into enemy territory :-)
Thank you so much for your input in advance.
Best wishes Henrik
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Dear Henrik,
For such quantitative size of survey as You want the best thing is to use Paniott formula. Please, take a glance on Paniott formula on Google.
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Please share valid links if any, otherwise share your thoughts.
thanks in advance
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The issues right now are related to the digital transformation. How do leaders lead and manage their workforce in the increasingly disconnected workplace brought about by the pandemic. Issues of employee engagement and employee retention are the top concers of organizations now. Also, due to globalization and the emergence of networked-based organization systems, the workplace is getting more and more diversified. How can the leader manage this highly diversified workforce. Added to this is the rise of what we call "Gig Economy" where workers are hired on a part-time basis. How would this affect maintenance of organizational culture and the values of the organization? Just some thoughts.
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What kind of scientific research dominate in the field of Business Intelligence?
What are the important topics in the field: Business Intelligence?
Business entity management processes are more and more often supported by computerized Business Intelligence platforms that facilitate multi-criteria analysis and reporting.
Probably in the future, the business analyst will be supported by artificial intelligence.
It would be a great advance in the field of automation and objectification of multi-criteria economic analyzes of business entities.
Complex, multi-criteria analyzes regarding the verification of large companies' operations require aggregation and analytical processing of large data sets in Big Data database systems.
However, in what direction will technological progress be realized in this field?
In the future, as part of the progressing computerization of analytical processes, it will be possible to implement artificial intelligence to the processes of analyzing large collections of information collected in Big Data database systems.
Apparently, we are now living in the era of the fourth technological revolution, known as Industry 4.0.
The previous three technological revolutions:
1. The industrial revolution of the eighteenth and nineteenth centuries, determined mainly by the industrial application of the invention of a steam engine.
2. Electricity era of the late nineteenth century and early twentieth century.
3. The IT revolution of the second half of the twentieth century determined by computerization, the widespread use of the Internet and the beginning of the development of robotization.
The current fourth technological revelation, known as Industry 4.0, is motivated by the development of the following factors:
- artificial intelligence,
- cloud computing,
- machine learning,
- Big Data database technologies,
- Internet of Things.
On the basis of the development of these IT instruments and technologies, business analytics of companies such as Business Intelligence and the above-mentioned areas have been dynamically developing in recent years.
In view of the above, I turn to you with the following question: In what direction will the current technological revolution, known as Industry 4.0, develop?
Please, answer, comments. I invite you to the discussion.
Dear Colleagues and Friends from RG
Some of the currently developing aspects and determinants of the applications of data processing technologies in Big Data database systems are described in the following publications:
I invite you to discussion and cooperation.
Best wishes
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Mutual trust and respect.
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Core competencies have been defined as the skills, capabilities and proficiencies that give businesses a competitive advantage.
We are doing research where it would be useful to 1) identify and specify the core competencies of different companies and 2) classify or categorize those competencies.
Are there any frameworks, models or processes that would help us?
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Is the role of strategic management changing in the context of current economic processes and the development of new information technologies typical of the current fourth technological revolution, known as Industry 4.0?
Strategic management is an important area of ​​management in the context of management of both individual enterprises (microeconomically) as well as domestic economic policy (macroeconomics).
In connection with the development of internationally operating corporations, strategic management acquires a new character, it becomes a part of the study of information and economic globalization processes.
In addition, strategic management can also change its charler in relation to processes such as prolonged business cycles, shortened life cycles of products, increased importance of information, technology, innovation, etc. as particularly important production factors in knowledge-based enterprises and economies in which an ever-increasing role of fully computerized advanced information processing technology, ie technologies typical of the current fourth technological revolution, known as Industry 4.0.
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.
Do you agree with my opinion on this matter?
In view of the above, I am asking you the following question:
Is the role of strategic management changing in the context of current economic processes?
Please reply
I invite you to the discussion
Thank you very much
Best wishes
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Dear Fuad Gattaz Sobrinho,
Thanks for answering the question:
Is the role of strategic management changing in the context of current economic processes in the era of Industry 4.0?
Yes, an important issue is currently the use of Industry 4.0 technology to support the strategic management process of a company, including, inter alia, take into account the Internet of Things mapping to improve the functioning of the business.
Thank you, Regards,
Dariusz Prokopowicz
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Hi there,
through my research, I am more and more coming to the conclusion that the contexts of corporate change turn out to be essential. For example, a transformation in agriculture is regulated quite differently than in the aerospace industry. In a recent presentation by Daimler's CEO, this aspect was emphasized in particular (ecosystems, increasing networking, etc.).
Beyond the ambiguous definitions of change, there are, as you surely know, various approaches to characterizing corporate change. One comprehensive approach is presented by Albach et al. 2014 (https://t1p.de/rk70), see appendix.
There are also characterizations for economic activities, the International Standard Industrial Classification of All Economic Activities, both as a broad and very detailed industry specification: https://t1p.de/7cth
Do you know if there is already research in this area? Which disciplines are addressing the question of how industry contexts (macro) influence corporate change (micro)?
Certainly, it is not possible to cover all industries, but is there, for example, research in the context of C - Manufacturing? How do the industry-specific characteristics of the manufacturing industry affect corporate change projects? Are there certain change characteristics (features, certain dynamics, etc.) that are always expressed in the same way on a broad or detailed industry classification?
How would you proceed methodically with the investigation? I thought first of all of an investigation of the rough structure, e.g. expert interviews and a subsequent survey? Feel free to "brainstorm" as an answer as well.
Thank you and best Greetings from Aachen, Germany
Alexander Kwiatkowski
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In addition to Weill and Ross in “IT Savvy," see their "Enterprise Architecture As Strategy: Creating a Foundation for Business Execution" as well as Ross et al's more recent "Designed for Digital: How to Architect Your Business for Sustained Success" (see my review) https://www.amazon.com/gp/customer-reviews/R33HX594W0I7TL?ref=pf_ov_at_pdctrvw_srp
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1) Hi everyone. I am interested in joining as a co-author or researcher for any study within Organisational Behaviour field. I am a master’s degree holder in Management. Anyone looking for collaboration, please feel free to email me at neeshanathan04@gmail.com.
2) I am also a proofreader-cum-editor. My organization offers related services at affordable price (one of the cheapest you can find). Likewise, in case any fellow researchers here need assistance, please kindly email me.
Thank you everyone. Have a beautiful day. Stay safe.
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Please have look on our(Eminent Biosciences (EMBS)) collaborations.. and let me know if interested to associate with us
Our recent publications In collaborations with industries and academia in India and world wide.
EMBS publication In association with Universidad Tecnológica Metropolitana, Santiago, Chile. Publication Link: https://pubmed.ncbi.nlm.nih.gov/33397265/
EMBS publication In association with Moscow State University , Russia. Publication Link: https://pubmed.ncbi.nlm.nih.gov/32967475/
EMBS publication In association with Icahn Institute of Genomics and Multiscale Biology,, Mount Sinai Health System, Manhattan, NY, USA. Publication Link: https://www.ncbi.nlm.nih.gov/pubmed/29199918
EMBS publication In association with University of Missouri, St. Louis, MO, USA. Publication Link: https://www.ncbi.nlm.nih.gov/pubmed/30457050
EMBS publication In association with Virginia Commonwealth University, Richmond, Virginia, USA. Publication Link: https://www.ncbi.nlm.nih.gov/pubmed/27852211
EMBS publication In association with ICMR- NIN(National Institute of Nutrition), Hyderabad Publication Link: https://www.ncbi.nlm.nih.gov/pubmed/23030611
EMBS publication In association with University of Minnesota Duluth, Duluth MN 55811 USA. Publication Link: https://www.ncbi.nlm.nih.gov/pubmed/27852211
EMBS publication In association with University of Yaounde I, PO Box 812, Yaoundé, Cameroon. Publication Link: https://www.ncbi.nlm.nih.gov/pubmed/30950335
EMBS publication In association with Federal University of Paraíba, João Pessoa, PB, Brazil. Publication Link: https://www.ncbi.nlm.nih.gov/pubmed/30693065
Eminent Biosciences(EMBS) and University of Yaoundé I, Yaoundé, Cameroon. Publication Link: https://pubmed.ncbi.nlm.nih.gov/31210847/
Eminent Biosciences(EMBS) and University of the Basque Country UPV/EHU, 48080, Leioa, Spain. Publication Link: https://www.ncbi.nlm.nih.gov/pubmed/27852204
Eminent Biosciences(EMBS) and King Saud University, Riyadh, Saudi Arabia. Publication Link: http://www.eurekaselect.com/135585
Eminent Biosciences(EMBS) and NIPER , Hyderabad, India. Publication Link: https://www.ncbi.nlm.nih.gov/pubmed/29053759
Eminent Biosciences(EMBS) and Alagappa University, Tamil Nadu, India. Publication Link: https://www.ncbi.nlm.nih.gov/pubmed/30950335
Eminent Biosciences(EMBS) and Jawaharlal Nehru Technological University, Hyderabad , India. Publication Link: https://www.ncbi.nlm.nih.gov/pubmed/28472910
Eminent Biosciences(EMBS) and C.S.I.R – CRISAT, Karaikudi, Tamil Nadu, India. Publication Link: https://www.ncbi.nlm.nih.gov/pubmed/30237676
Eminent Biosciences(EMBS) and Karpagam academy of higher education, Eachinary, Coimbatore , Tamil Nadu, India. Publication Link: https://www.ncbi.nlm.nih.gov/pubmed/30237672
Eminent Biosciences(EMBS) and Ballets Olaeta Kalea, 4, 48014 Bilbao, Bizkaia, Spain. Publication Link: https://www.ncbi.nlm.nih.gov/pubmed/29199918
Eminent Biosciences(EMBS) and Hospital for Genetic Diseases, Osmania University, Hyderabad - 500 016, Telangana, India. Publication Link: https://www.ncbi.nlm.nih.gov/pubmed/28472910
Eminent Biosciences(EMBS) and School of Ocean Science and Technology, Kerala University of Fisheries and Ocean Studies, Panangad-682 506, Cochin, India. Publication Link: https://www.ncbi.nlm.nih.gov/pubmed/27964704
Eminent Biosciences(EMBS) and CODEWEL Nireekshana-ACET, Hyderabad, Publication Link: https://www.ncbi.nlm.nih.gov/pubmed/26770024
Eminent Biosciences(EMBS) and Bharathiyar University, Coimbatore-641046, Tamilnadu, India. Publication Link: https://www.ncbi.nlm.nih.gov/pubmed/27919211
Eminent Biosciences(EMBS) and LPU University, Phagwara, Punjab, India. Publication Link: https://www.ncbi.nlm.nih.gov/pubmed/31030499
Eminent Biosciences(EMBS) and Department of Bioinformatics, Kerala University, Kerala. Publication Link: http://www.eurekaselect.com/135585
Eminent Biosciences(EMBS) and Gandhi Medical College and Osmania Medical College, Hyderabad 500 038, India. Publication Link: https://www.ncbi.nlm.nih.gov/pubmed/27450915
Eminent Biosciences(EMBS) and National College (Affiliated to Bharathidasan University), Tiruchirapalli, 620 001 Tamil Nadu, India. Publication Link: https://www.ncbi.nlm.nih.gov/pubmed/27266485
Eminent Biosciences(EMBS) and University of Calicut - 673635, Kerala, India. Publication Link: https://www.ncbi.nlm.nih.gov/pubmed/23030611
Eminent Biosciences(EMBS) and NIPER, Hyderabad, India. ) Publication Link: https://www.ncbi.nlm.nih.gov/pubmed/29053759
Eminent Biosciences(EMBS) and King George's Medical University, (Erstwhile C.S.M. Medical University), Lucknow-226 003, India. Publication Link: https://www.ncbi.nlm.nih.gov/pubmed/25579575
Eminent Biosciences(EMBS) and School of Chemical & Biotechnology, SASTRA University, Thanjavur, India Publication Link: https://www.ncbi.nlm.nih.gov/pubmed/25579569
Eminent Biosciences(EMBS) and Safi center for scientific research, Malappuram, Kerala, India. Publication Link: https://www.ncbi.nlm.nih.gov/pubmed/30237672
Eminent Biosciences(EMBS) and Dept of Genetics, Osmania University, Hyderabad Publication Link: https://www.ncbi.nlm.nih.gov/pubmed/25248957
EMBS publication In association with Institute of Genetics and Hospital for Genetic Diseases, Osmania University, Hyderabad Publication Link: https://www.ncbi.nlm.nih.gov/pubmed/26229292
Sincerely,
Dr. Anuraj Nayarisseri
Principal Scientist & Director,
Eminent Biosciences.
Mob :+91 97522 95342
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Hello everyone,
I´m in the next couple of months writing my dissertation. My thinking is along the lines of: Corporate heritage/history colliding with innovation and relevancy for the upcoming generation (millennials) in the luxury watch market. Especially the following paper has peeked my interest: "The corporate heritage brand paradox: Managing the tension between continuity and change in luxury brands"
However, there is also a lot of conflicting material and papers out there on the millennials, and not sure if I would end up studying two separate matters with this topic.
My question is if someone has any tips on how to attack this? If you have some expertise on the topics, and willing to share some thoughts/info/guidance it would be of great help. Ultimately, any help or feedback is very much appreciated!
Best,
Ario
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Hi Iranmanesh,
I am curious to hear how your thesis progressed, I am quite keen on studying a topic within the same industry of horology for my Bachelor's thesis.
Cheers
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Good evening,
I am doing a research in strategic management. For the methodology, I would like to send a questionnaire to mananers from some companies and ask them to fill it out.
Here is the structure:
1) classification questions;
2) statements that investigate certain areas of their companies. Example: for area A (e.g. oganization) there are 5 questions like the following one: "Your company is very good at ....."
Each respondent has to answer in a scale ranging from 1 to 7 (1= not true at all; 7 = very true) (Not sure whether to call it a "Likert scale").
- Is it okay to use a factor analysis to test the reliability and validity in this case? If yes, any particular one? (confirmatory, explorative)?
- Should be used a small sample for testing?
- What to do if the analysis shows poor construction of the questionnaire?
Doing some research on the internet I found also the so called "McDonald's omega" that can be used instead of the Cronbach's Alpha. Has anyone ever used it?
Thanks for your attention.
Vito
P.S. Can anyone suggest me some books/articles about social science research?
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Hi! Usually the questionnaires should be pre-tested with the experts in the respective fields for the content validity. If the researcher is using established scale then pilot testing with minimum sample size of 30 can be used to check the reliability of the scale based on Cronbach's Alpha. If the scale is new then it is suggested to run the exploratory factor analysis. Thanks.
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The improvement of specific risk management systems is particularly important in many areas of functioning of commercial business entities, financial institutions, public institutions as well as conducting investment, research and other projects.
How important is this is, for example, the global financial crisis that appeared in mid-September 2008, when specific financial, investment and credit risk management systems were not properly improved and the procedures of investment activity, including credit, were not carried out reliably, as well as customer service, and violation of business ethics in investment banks operating at the time and many other types of financial institutions and business entities.
please reply
Dear Colleagues and Friends from RG
The key aspects and determinants of applications of data processing technologies in Big Data database systems are described in the following publications:
I invite you to discussion and cooperation.
Thank you very much
Best wishes
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Dear Milan B. Vemić,
Thanks for the information on the webinar on big data collected on Big Data platforms and the processing of information collected in Big Data database systems. Thanks for the link to the YouTube video that addresses this issue.
Thank you very much,
Regards,
Dariusz Prokopowicz
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What modern, new concepts of management in technological companies are currently used, where innovative research projects are developed and innovative technologies are created, new technical standards, etc.?
The current technological revolution known as Industry 4.0 is motivated by the development of the following factors:
Big Data database technologies, cloud computing, machine learning, Internet of Things, artificial intelligence.
On the basis of the development of the new technological solutions mentioned in recent years, the processes of innovatively organized analyzes of large information collections gathered in Big Data database systems dynamically develop.
What other technological improvements, innovative organizational, technical and IT solutions will be developed in the future based on the development of the above-mentioned factors?
At present, in the age of the technological revolution known as the 4.0 Industry, new technology management or Internet-based companies are emerging.
In the context of this problem, many questions arise:
Do business management processes play a particularly important role in the context of the effective functioning of business entities in currently developing economies based on knowledge, information and technology?
Is e-management a new concept of managing virtual enterprises or rather managing online technology companies?
Are new management concepts of innovative enterprises and start-ups based mainly on knowledge, information, entrepreneurship and creation of innovations?
Does the development of data processing technology in Big Data database systems and other technologies developed in the field of technological revolution Industry 4.0 generates the emergence of new business management concepts?
Please reply. I invite you to the discussion
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Dear José Roberto Marty Delgado,
Thanks for answering the above question: Yes, you have noticed important issues related to the use of new information technologies, ICT and Industry 4.0 in order to improve enterprise management systems.
Thank you very much,
Best wishes,
Dariusz Prokopowicz
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Does production management using Internet of Things technology streamline production management processes and does it increase the economic efficiency of the company's operation?
Please reply
Best wishes
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Dear Mauro Luisetto,
Thanks for the kind words regarding the issues of this discussion regarding the issue of production management using Internet of Things technology.
Thank you very much,
Regards,
Dariusz Prokopowicz
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I'm currently do research about study case on green building project, assessing the implementation of green construction ( model I use scoring the construction stage only). Is there any research or journal that do the same thing? I'm gonna use it as my literature review and I'm seeking journal/research that state the final score of green construction can be the factor success of green building (without design and operational maintain phase). thank you.
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I think these papers could help you;
  1. Integrated Construction Process for Green Building, December 2016,
  2. Role of green building developer and owner in sustainability construction: investigating the relationships between green building key success factors and incentives, March 2020,
  3. Analyzing Green Building Project Risk Interdependencies Using Interpretive Structural Modeling, February 2020,
They're available on the ResearchGate Server for download.
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Do you really know what is PMO? Hello Everyone, I hope everyone here is doing good. I’m actually conducting interviews in the scope of my master thesis. The topic is “The added value of PMO in organizations”. To make the interview easier and convenient, I did an online form where participants can fill in their answers directly. However, those interested can still get in touch with me for a physical or phone interview. Filling this form will take about 10 to 15mins of your time, but this will be a worth contribution in the development and better understanding of the profession. Please fill free to criticize the structure of the interview or give any feedback or comments in the last part of the form. You can also leave your contact details for the outcome of this work. Thanks in advance Greetings, J. Y. TALA KOMGUEM
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Hi Joel, I suggest that you also read the book from Aubry and Hobbs, The PMO: A Quest for Understanding. It is a good book and provides insight into what functions can be provided by PMO to bring benefit to the organization. From my experience as a PMO practitioner, PMO provides visibility of my projects and their impact on the business. Furthermore, PMO provides supporting tools to project managers as well as a knowledge repository of project management within the organization. I hope it helps.
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I have often wondered if it is possible or recomended to teach business, management, marketing etc without practical experience of the subject. I have been a businessman for over 20 years, consultancy, transport, fiduciary and recruiting. I have had my ups and downs. I seen the positive and the negative and done things hands on. How ever if I look back at my former professors and lecturers I would say almost none of them had any experience and sometimes I felt in hindsight that they had no idea on how to connect theory and practice and to be critical. What are your thoughts?should hands on experience be mandatory in order to be allowed to teach a subject? I know this is a sensitive issue and be sure I ask this question with the greatest of respect. Are there ways of getting around the lack of experience? For me it seems difficult because a lecturer who has been in the game can provide another dimention compared to some one who never left academia. For me the difference is like playng football and watching football? Im sure there are great lecturers out there without experience of what they are teaching but what are your thoughts in general? Best regards Henrik
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I think that in any field one can teach theoretical or conceptual disciplines without necessary having practical experience. If one has to teach practical disciplines or they need to teach students certain skills, then yes, they should better have practical experience in the field.
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This anonymous survey is open to all UK and Middle East academics, researchers, postgraduate students, and professionals. It takes 10 minutes to complete. At the end of the survey you will be offered the opportunity to fill in your details on a separate online form, in case you wish to be considered for the prize draw. To participate, please click on the link below. You are welcome to share the link with your professional and/or social network too.
This is a survey for a Master’s thesis and your support is greatly appreciated. The title of the study is ‘‘The role of leadership self-efficacy (LSE) in developing academic and professional leaders’’. You can find more information in the Participant Information Sheet, which is available with the survey.
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Thank you! More than 300 responses received so far. The survey will be open until midnight (London, UK Time) today. Thank you for helping.
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How does one make their marketing mix be more agile to new channels, ever changing environment. what are the models used for this analysis and their interpretation.
our paper on MMM- complex models and interpretations to discuss the advertising effects, models- simple and complex to collate it all together.
Please read, review and suggest how we can add on to enhance our research going forward
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Well, intereyting approach, although I personally have a problem with "econometrisation" of marketing.
I like new perspectives on basic marketing concepts, for example SAVE concept instead of classic 4P
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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 logistics management process of the enterprise?
Please reply
Best wishes
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in my opinion, modern technologies, voice systems, artificial intelligence and the Internet of Things facilitate the work in logistics. However, it is worth remembering that the analysis of large amounts of data should support people, not just the process.
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What research tool do you recommend to research the internet of things in online stores?
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Does the development of data processing technology in Big Data database systems and other technologies developed in the field of technological revolution Industry 4.0 generate new business management concepts?
At present, in the age of the technological revolution known as the 4.0 industry, new technology management or Internet-based companies are emerging.
The technological revolution in recent years, known as Industry 4.0, is motivated by the development of the following factors:
Big Data database technologies, cloud computing, machine learning, Internet of Things, artificial intelligence.
Added to this is the development of data processing analytics in Business Intelligence enterprises, the development of life science technologies, biotechnology, eco-innovation, energy, medical intelligence, etc.
On the basis of the development of the new technological solutions mentioned in recent years, the processes of innovatively organized analyzes of large information collections gathered in Big Data database systems dynamically develop.
In the context of this problem, many questions arise:
What other technological improvements, innovative organizational, technical and IT solutions will be developed in the future based on the development of the above-mentioned factors?
What kinds of innovations will be able to be created in the coming years, in the future based on the integration of the above-mentioned main determinants of the development of the current technological revolution known as Industry 4.0?
What kind of new categories of added value may be created in the future if the above-mentioned technological solutions are more involved in the creation of biotechnological, ecological, product and other innovations.
Will new technologies be created in this way, with the help of which it will be possible to generate solutions to the problems of excessive exploitation of Earth resources in the process of civilization development?
Do business management processes play a particularly important role in the context of the effective functioning of business entities in currently developing economies based on knowledge, information and technology?
Is e-management a new concept of managing virtual enterprises or rather managing online technology companies?
Are new management concepts of innovative enterprises and start-ups based mainly on knowledge, information, entrepreneurship and creation of innovations?
Does the development of data processing technology in Big Data database systems and other technologies developed in the field of technological revolution Industry 4.0 generates the emergence of new business management concepts?
Please reply. I invite you to the discussion
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Dear Hermann Gruenwald,
Thank you very much for your response. Your answers are always very valuable, inspiring, factually accurate and bringing great added value to our discussions.
Thank you, Best wishes,
Dariusz Prokopowicz
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What is the difference between "process" and "system"?
Process:
  • When we look at something and see a sequence of activities producing outputs we are observing a process
  • A process produces results through work being done in the process
  • Processes produce outputs
  • Process owners manage process outputs
Systems:
  • When we look at something and see the buildings, the people, the relationships, the activities and the interactions we are observing a system
  • A system produces results through the interaction of elements
  • Systems create outcomes
  • System managers manage outcomes
There are therefore two quite different types of management.
  • There is process management which will manage the achievement of results by planning, organizing, controlling and continually improving the work required to produce them.
  • There is system management which will manage a system of interacting elements that function together to achieve an objective.
The boundary between process and system is where the output fulfils a system objective. For example, If we treat the series of steps in frying an egg as a process, we will find that frying the egg is one stage of a meal preparation process. The meal preparation process is one stage in the service delivery process. Any of these processes can interact with the outputs from a process that manages the resources used in meal preparation process. Cut off the supply of electricity and the cook can’t fry the egg. We therefore ascend through a hierarchy of processes to a system of processes which together with other elements deliver an experience that will delight the customer – the objective of frying the egg, preparing the meal and delivering the service.
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"Self-fulfilling prophecy" is Moore's own definition, while "a convenient fiction" is somebody else's...
I have decided that, giving some excerpts from two relevant articles will be more helpful than trying to explain my personal views in detail.
A.Z.
Excerpts from the article "Was Moore’s Law Inevitable?" by Kevin Kelly:
(...) Writing in 2005, (...) Moore says, “Moore’s Law is really about economics.” [Moore's colleague] Carver Mead made it clearer yet: Moore’s Law, he says, “is really about people’s belief system, it’s not a law of physics, it’s about human belief, and when people believe in something, they’ll put energy behind it to make it come to pass.”
(...) Finally, in a another reference, Mead adds : “Permission to believe that [the Law] will keep going,” is what keeps the Law going. Moore agrees in a 1996 article: “More than anything, once something like this gets established, it becomes more or less a self-fulfilling prophecy. The Semiconductor Industry Association puts out a technology road map, which continues this [generational improvement] every three years. Everyone in the industry recognizes that if you don’t stay on essentially that curve they will fall behind. So it sort of drives itself.”
(...) Andrew Odlyzko from AT&T Bell Laboratories concurs: “Management is *not* telling a researcher, ‘You are the best we could find, here are the tools, please go off and find something that will let us leapfrog the competition.’ Instead, the attitude is, ‘Either you and your 999 colleagues double the performance of our microprocessors in the next 18 months, to keep up with the competition, or you are fired.'”
Excerpts from the article "A Moore’s Law Mystery" by Rose Eveleth:
(...) Moore’s Law probably didn’t start as a marketing ploy. Even Carlson will admit that. But it then became, what he called, “a convenient fiction.”
Thomas Haigh, a historian of technology at the University of Wisconsin, had a similar idea. “[Moore’s Law] has always been more of a self-promotion for the wondrous accomplishments of the semiconductor industry than a law of nature,” (...) “It’s also been a kind of self-fulfilling prophecy, since it’s taken ever larger investments of research and development money to keep it coming true."
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The so-called Moore's laws are distinguished by the fact that they are formulated in such a way as to serve as a "self-fulfilling prophecy."
Regards,
Dariusz Prokopowicz
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AI is no longer the future, it’s the present, what are your experiences?
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Prof. D A Gayan Nayanajith: I disagree with you. AI currently has many different aspects where its name is no longer spacious to hold these aspects. The same thing has happened with the "Computer" as a name. Its name is originally initiated to hold the four-basic-computing operations (+, -, *, and /). But now computer means logic, AI,...etc.
AI behind all the developments you see now. But there is another face to the same coin that you will see that at the following RG link:
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The picture gets bigger: omnichannel tracking, how you feel?
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A digitalized social cognitive perspective of omnichannel service usage...Sun, Y., Yang, C., Shen, X. L., & Wang, N. (2020). When digitalized customers meet digitalized services: A digitalized social cognitive perspective of omnichannel service usage. International Journal of Information Management, 54, 102200.
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For a current research project, I am dealing with a large acquistion dataset which in many cases includes multiple events/acquisitions per firm. Target is to calculate the Buy-and-Hold Abnormal Returns (BHAR) of the companies' stock for a 2-year period following the event and check for a stasticial significance of the BHAR in connection with financial and non-financial variables.
When running a regression for all events as stand-alone datapoints (i.e. counting the same firm multiple times with multiple events), I am not receiving any meaningful results. When however using a pivot fuction to summarise the results on a per company basis (i.e. take the average BHAR per company and only counting each firm once), I am obtaining a statistically relevant regressions.
I have been reading into the relevant literature but have not found any views if this approach is scientifically permitted. Does anyone have a view on wether an averaging of event study results on a per company basis is scientifically accepted?
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Hi M. Susen , Thanks for your question - Its valid to pick 24 months holding period, the key item to note is that if the same firm has multiple acquisitions within the 24 months, then the exit price may not distinguish between the multiple acquisition events. However, it is often rare for a firm to have multiple acquisitions within a 24 Month period. As such, if you eliminate firms that have more than one acquisition event within a 24 month period, you will still have a sizeable sample size and you will also have solved the confounding of events problem. I am not sure a robustness test would solve the problem as such since your choice of holding period is not an accompanying assumption but instead its a key characteristic of your dependent variable. The other alternative is to split the sample into two, Firms with multiple acquisition events and firms without multiple acquisition events.
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In my opinion there is a relationship, a correlation between the decision making by the manager and the performance of tasks by employees and the quality, performance of the work performed. In addition, specific techniques of personnel management and the entire company are also important. It is also important to build a proper translation between decision making and the applied model of personnel management by the management of a given organization and the type of a specific economic entity, its specificity, specificity of branch, industry it represents, pace of development, life cycle in which it is located, etc.
Do you agree with me on the above matter?
Please reply
I invite you to the discussion
Best wishes
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This is a very good question. It deserves a research plan.
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Any source/s to refer to on identifying methodological gaps/methodology gaps in research?
Please mention the links.
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I can recommend reading the following article. You may get it through Google Scholar:
- Manuela Marra; Carla Di Biccari; Mariangela Lazoi; and Angelo Corallo (2017) A Gap Analysis Methodology for Product Lifecycle Management Assessment, IEEE Transactions on Engineering Management, Volume 65, Issue 1.
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Hello Dears,
The future of all industries and life on Earth depends on the future of the energy industry. In this regard, choosing the best energy source and optimally investing in it is very important. In your opinion, which energy source will make the most of the future of the energy industry according to the uncertain environmental conditions?
Bests,
Dashtpeyma
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I think Solar and Hydroelectric energy will dominate in the future energy sector.
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What are the alternative ways to convert a 'performance gap' into an 'empirical gap' in management research?
Please provide the links, if any.
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Performance gap is concerned with the difference between the planned and the atcual performance. On the other hand Knowledge gap can be defined as the insufficient amount of knowledge about anything.
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I am organizing some materials for the MSc and PhD students and want to categorize the references in some dimensions so the students can choose by their own.
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Suggestion that you could consider getting the students to self-rank the references as part of their own learning.
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What are your thoughts?
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Hi there, what do you mean by "compensation profession"...Are you talking about "workplace compensation"?
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I think most scholars would agree that effectuation theory formulated by sarasvathy (2001) is still not a mature theory but when do you think it will reach its maturity? How would you compare the development of effectuation theory vs the development of bricolage?
I have co-authored a few articles into the subject: See below.
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firms’ decision-making logics & entrepreneurial resourcing behaviors combine to create value. We have to conduct a qualitative comparative analysis investigating configurations of effectuation, causation, & bricolage that are associated with firm performance. We have to consider firm size & development stage as contextual factors that differentiate the effectiveness of ways in which firms combine effectuation, causation, and bricolage.
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Hello everybody
I have been asked a lot of technical questions about the process mining by organization managers that I want to share here and read your answers.
  1. What is the difference between process mining and BI dashboards?
  2. IT team has designed the information system in my organization, so the structure is available (the staff is working on a defined railway). How process mining can help my organization to perform better?
  3. On the other hand, a process analyst team is available in my organization. Do we need process mining and why?
Best Regards
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Process mining is an analysis tool while BI-dashboards are for monitoring and reporting. These are different use cases. A process mining analysis can result in a new KPI that then should be monitored, but it can also lead to a process change (see Possible Outcomes).
Regards,
Shafagat
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I’ve worked in both organisational structures pyramid and matrix. They both have their pros and cons but which structure do you prefer and why?
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The hierarchical structure is the best
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The basic data used to determine the effectiveness of commercial banks are included in the banks' financial statements. these data relate to the bank's involvement in specific active transactions, necessary to determine the quality of the loan portfolio, to determine the quality of credit, operational, liquidity, debt, operational risk management processes, etc. An IT risk analysis should be added to this. In addition, financial statements also include data to calculate the deposit security ratio, profitability of individual categories of assets and use of available financial resources. This type of data should be combined with individual categories of estimated risk levels measured in correlation to the involvement in individual active operations. However, in the case of the analysis of the investment bank's effectiveness, it should additionally include an analysis based on risk assessment models for investment in derivatives and other capital market instruments. In this regard, many banking procedures were previously unreliably carried out which generated very high levels of credit risks and caused huge financial losses, eg in the Lehman Brothers investment bank, bankruptcy of this bank and the beginning of the global financial crisis in mid-September 2008.
I researched this problem and in my publications I confirmed that it is possible to combine the question of the reliability of banking procedures implemented in the area of risk management with sources of financial crises.
However, I would like to hear your opinion on this matter.
In view of the above, I am asking you the following question: Is it possible to combine the ethics of banking procedures in the field of banking operations with the sources of financial crises?
Please, answer, comments. I invite you to the discussion.
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Having worked for 30 years in finance, I have no great love for the pretense of ethics of most banks.
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Business entity management processes are more and more often supported by computerized Business Intelligence platforms that facilitate multi-criteria analysis and reporting.
Complex, multi-criteria analyzes regarding the verification of large companies' operations require aggregation and analytical processing of large data sets in Big Data database systems.
Specialized IT companies produce applications that help in conducting economic analyzes, i.e. the Business Intelligence platform.
More and more often, large and medium-sized companies use these platforms to adapt them to the specifics of their business.
However, in what direction will technological progress be realized in this field?
In view of the above, the current question is: Will the artificial intelligence for Business Intelligence application be implemented as part of the progressing computerization of analytical processes?
Please, answer, comments. I invite you to the discussion.
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Inevitably. A more interesting question is to do what? And why?
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  • Business Critical failure indicators CFI
Multinational organizations as well as SME or any type of business organization for that matter share the same principle which is succeed. However success is not usually the end result due to XXX factors either internal or external or else, they all have left the business opportunity to other competitors or any other reason of such.
Below is a small list i picked from the net about these companies that really got my attention because they all shared greatness in their days and completely got cast away afterwards:
1- Kodak
2- Nokia
3- Xerox
Therefore, i would kindly solicit the help of anyone who thinks he has a close as possible answer (CFI's) that he/she could foresee before the their business ends up in a failure, what could be the possible way, approach or strategy that might help, and how to separate the right CFI from the wrong one.
Thank you in advance for your answers.
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Pareto's principle can be applied for evaluation.
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The issue of success and what is behind it as the very definition of is something that has been debated since the advent of man. If we approach the subject from a monetary view most scholars probably agree that the best predictors of success if we think in terms of hierarchies, whether it is a dominance or competence hierarchy , depending on which perspective you adopt is general cognitive ability and conscientiousness. Something I noted is that most researchers, especially psychologists underestimate the sociocultural aspects.
My question is that if you were to create a model, predicting success, which factors would you include? Can gender be a predictor? Race? Can we also approach the subject from a social constructionist standpoint? Perhaps biology? Would you look at the individual as an idiosyncratic being or would you expand your scope also to encompass culture and institutions?
What are your thoughts?
Best wishes Henrik
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Vadim S. Gorshkov I fully agree and to rephrase the question to encompass Russia is perfectly fine. So you think the issue of which structure we are born into matters more than the individual him or her self? Do you believe our reality is socially constructed? Interesting. You touched on the issue of strata and stratification, Perhaps being born into the right family can compensate for the lack of cognitive ability and conscientiousness .
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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. If interested, contact me at jlarks@email.phoenix.edu or (302) 824-9257. #LMX #LeaderMemberExchange #Leadership #OrganizationalLeadership #OrganizationalManagement
Please Note: This is NOT a request for participants.
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Interesting question James Larks . Would be interested to know as well.
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I am desperately 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.
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Interesting question James Larks . Would be interested to know as well.
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In a paper written by Wang, Wang Ruona and Rojewski, (2005) Chinese managers tend to be less concerned about taking personal responsibility for tasks and actions and more
concerned about group efforts. In the eight years following this study, have Chinese management changed to align with their meteoric economic growth?
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This could be a good subject to be investigated. I did not see an article that had studied this issue, but according to Nadler and Tushman, I believe today's "environment" has made them more aggressive.
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Dear friends
I hope you are doing well. I wrote an article not long ago connecting effectuation theory with social representation theory and social psychology / attitudes. ( link can be found further down). How do you view the future development of effectuation theory? Im interested in a deeper connection to psychogy even if Im highly critical to effectuation in general. What are your thoughts? What are the most interesting alternatives in terms of future development? Best wishes and Happy New Year Henrik
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Caro que aspectos relacionados ao contexto da pandemia e suas derivações deva ter um papel importante nessa discussão
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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.
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@Khristian Edi Nugroho Soebandrija thank you for volunteering your organization to participate in my study. Please send your contact information to jlarks@email.phoenix.edu so I can send you the forms to initiate the process.
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I wish you all a Merry Christmas and a Happy New year!
Best wishes Henrik & Ruslana
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Merry Christmas.
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Prime Minister Boris Johnson's 10 point plan for industrial revolution and create 250,000 green jobs via 12billion£ investment.
Looks interesting, however, I would argue that with increased emphasis on hydrogen and nuclear (both requiring water - electrolysis & cooling respectively) there is a serious need to safeguard water availability, maintain purity levels, and its usable temperatures (nuclear exhaust waters to fish ponds etc. )
Are we moving in the right direction !!
Comments welcome.
Regards
Waqas
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The fundamental objects for the life of humans are the sweet water, energy , air and soil.
So, you can not priorities any one!
Best wishes
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I have been studying Zen in general and Koans in particular for a while. And it's applications in BUSINESS
The formulation of these Koans at first glance seems absurd and an austere waste of time, at least to me at first, but I suddenly started to see the logic behind it.
My troubles at the moment are;
1) How would I generate such Koans where my aim would be to seek answers that satisfy two divergent goals, tasks, concepts etc...
And second
2) if I somehow manage to generate such thing, how would I present it to my audience?
A statement, a question, a puzzle, a riddle anything else?....
The above is the object of my next publication and I it seems my brain is too small to handle it, therefore I am asking your help to generate some Koans for the business world
Many thanks in advance
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Can you give me more clarification on this subject
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My question is simple, how do you view decision making in SME who are in the process of internationalisation or has already passed the stage of internationalisation. Is there any difference compared to larger firms? Is sarasvathy ( 2001) right in her assumption that firms dealing with a high level of uncertainty often opt for an effectual logic?
I co- authored an article about this that can be found here:
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Dear @Henrik G.S. Arvidsson, I agree with @Dag Bennett.
I also would like to say... irrespective of size, the willingness to take risk differs. Therefore, though important, size is not the only decision-making variable.
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When arguing please use scientific sources for culture and for leadership. Combine your view and the cited scientists' views.
Also, please give concrete advices for enabling countries to become (better) innovation drivers in the future.
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Agility
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Is there is an impact on current Covid-19 Pandemi situation on Industry 4.0 or implementation of Industry 4.0? Also because the networked nature of Industry 4.0 industry model, is there is a opportunity that can be use by using Industry 4.0 to alleviate Covid-19 Pandemi situation on industry?
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Perhaps, you saw this article already. It argues that coronavirus accelerates the fourth industrial revolution.
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Different models had been put forward by managers and scholars in managing crisis in the workplace and our personal life. This question seeks to know the best ways people have maintained a healthy life in the ever-evolving life.
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Dear @Temitope Joshua Adeusi I utilize escape and avoidance mechanism as the conflict resolution strategy as long as possible.
Regards!