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Business Networking - Science topic

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Which social media portals are currently being used to the greatest extent in business, for example in internet marketing, in order to present the offer of products and services, present the mission and perspectives of the company's development, improve the company's brand image?
Please reply
I invite you to the discussion
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Dear Main Al-Dalahmeh,
Yes, these are the leading social media whose business success is determined mainly by poorly implemented internet marketing. What do you think about it?
Thank you very much,
Best regards,
Dariusz Prokopowicz
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In which areas of economic activity, in which branches of the economy, what offer of products or services is currently offered in your country the most startups or other small companies, enterprises from the SME sector?
Please reply
Best wishes
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In recent years, in the country in which I operate, there are many startups operating in new ICT information technologies, in the use of Industry 4.0 technology and engineering technologies for the production of components and prefabricates, etc. In addition, many startups are also created in the field of e-commerce, selling various products via the Internet, and providing new information services on smartphones. And in which sectors, branches of the economy and / or fields of economic activity are many startups established in your country?
Please reply,
Thank you,
Regards,
Dariusz Prokopowicz
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In my opinion, the scope and possibilities of business cooperation with the world of science are constantly growing, especially in the areas of technical sciences, biotechnology, energy, materials science, information technology, ecology, etc. and in the development of innovations, patents and inventions created in various fields of technology, technology, etc.
Do you agree with me on the above matter?
In the context of the above issues, the following question is valid:
Does the scope and possibilities of business cooperation with the world of science increase or decrease?
Please reply
I invite you to the discussion
Thank you very much
Best wishes
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Hi Dr Dariusz Prokopowicz . It increases continuously with time.
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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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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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Dear fellow researchers,
We need some input for our questionnaire to map the Data Maturity phase of Small and Medium Sized Enterprises (SMEs)
Please use the link below for answer our questionnaire:
You can also share it in your business network?
Kind regards,
Jan H Jansen
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Hi. Im a businessman and CEO for int businesses for over 20 years should I answer from that role?
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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, 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.
The analytics conducted on computerized Business Intelligence platforms currently supports business management processes, facilitates identification of 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.
Do you agree with my opinion on this matter?
In view of the above, I am asking you the following question:
What future applications of analytics will be developed on computerized Business Intelligence platforms?
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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Thank you very much for the interesting data provided regarding the application of Business Intelligence analytics.
Best regards,
Dariusz Prokopowicz
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I am actually working in a project: 'AI and  inter-enterprise networking enhancement', and i need  some more recent info concerned with the developments in the field of AI utilisation in Business Processes.
Can anybody give some suggestions/recommendations?
Thanks in advance!
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I think that such systems should be used modular philosophy and design principle.
Regarding to benefit of modularity AI systems you can see in this discussion: https://www.researchgate.net/post/How_can_be_use_the_Modular_design_for_Artificial_Intelligence_systems
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Dear all. It is not often I start a discussion without some contextualisation but this time I do because perhaps it might be more interesting if people can freely discuss without initial guidance at least :-) . How do you view the future of research in to IB in terms of streams? Trends ? new theories on the horizon etc? What is your opinion? The word is free!
Best wishes Henrik
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A Peter Drucker is not born every day, given the life pressure he received.
I have also to mention Israel Kirzner, the mother of modern entrepreneurship.
The future of international business is great as well as related research, look at my publications on entrepreneurship.
Just look at Chinese research; the West is becoming state controlled.
I am tempted to say: karma-darma (and vs.).
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I am currently working on my dissertation of understanding intercultural challenges in Key Account Management (Global Account Management). Is there any literature in KAM available integrating intercultural challenges. Any recommendations for a quantitative method to analyze intercultural challenges in GAM.
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Not that I am aware of. Do not forget that KAM has been unfortunately interrupted few years ago for obscure reasons
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I am writing a book on interactive platforms (or a case of 2 sided markets). An example is Facebook (sorry there are many definitions of PLATFORM. Just to be clear).
The point is that understanding users and their motivations to grow the network and generate a network effect it could be useful to have an understanding of users motivations: either as "generators of value or content" or as "consumer of value or content".
Any comments? Regards
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This topic is well analyzed in the scientific publication "Scientific Studies of Ukrainian Media Content: A Social Dimension". The article addresses the issue of human psychology to social networks.
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In today's world, it is essential to achieve sustainability, and different industries can play a key role in achieving this. Now, here are some questions to clarify their status quo:
Can we say that different industries are successful in achieving this goal? Or are their sustainability plans just decorative?
And the most important questions are:
What is your opinion about the current situation of industries in terms of sustainability? Do you have any suggestions for improving sustainability in these networks?
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Sustainability, broadly-defined, is not helpful in setting targets. What encompasses "sustainability"? Environmental (and if so, is it climate? Oceans? pollutants?) or economic (financial self-sufficiency/longevity) etc.
My opinion aside, certain firms, and industries are infact meeting their set targets, for example say Scope 1 + 2 green house gas emissions. Some have made their targets already. Some are close, and getting closer, both due to their strategic initiatives (buying more renewable power, or replacing diesel with on-site solar), or happenstance due to more structural reasons (selling off a business unit because it is not profitable).
Asking broad questions on "sustainability" will garner too many answers, some also conflicting. If you contextualize the meaning of sustainability, and specify an industry (financial services) or region (financial services in the US) or asset level (financial services in the US with net income of > $250MM) then you can start gather better responses as which industries are successful, and which are not. Perhaps read corporate reports or 3rd party industry analyst briefs of whether they were tangible goals or not; or how best to go from that information piece.
This is exactly the kind of enquiry that drove our recent research project:
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Is digital marketing (DM) effective to bring more business to organizations ? What %age hike do you expect through digital marketing ?
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Digital marketing leverages internet to target customers, through advertising on website and other means of digital advertising including email marketing, online brochures etc. The increase in business through digital marketing depends on a whole host of factors.
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What kind of innovative start-ups are financed through crowdfunding?
Please reply
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Crowdfunding is one of the newer ways of funding a startup(s). So, some entrepreneurs put up a detailed description of their businesses on a crowdfunding platform. They mention the goals of their businesses, plans for making profits, how much funding they need and for what reasons and then consumers can read about the business(es) and give money if they like the ideas. Anyone can contribute money toward helping a business that they really believe in. Actually, we can say that there are some business ideas that are perfect for crowdfunding: Original tech gadgets; Independent books; Home cooking tools; Local Service businesses; Unique home inventions and etc.
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Dear Colleagues! As far as, from your point of view, it is possible (and justified) to implement the concept of Life Long Learning in a professional academic career by completely withdrawing from a successful scientific (teaching) activity, including with a defended doctoral thesis activity in a professional business activity (possibly with a corresponding new education / degree), not connected in any way with research and teaching activities? Do you know and can you give examples of such personal career development?
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I started my career in higher education, then went to work as a contractor for the U.S. federal government after receiving a Ph.D. I now do both, work as a contractor and teach at a university. It keeps me motivated in both areas.
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What is the difference between social networks and business networks and their importance in business contexts?
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A business network is a complex network of companies, working together to accomplish certain objectives.[1] These objectives, which are strategic and operational, are adopted by business networks based on their role in the market. There are two categories of business networks — business associations and company aggregations.
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Is the synergy and interdependence between the development of analytics conducted in Business Intelligence applications and the processing of data in the cloud in the Big Data database systems increased?
Currently, the amount of information collected in Big Data database systems is growing very fast.
Many companies that have their own Big Data database systems containing huge amounts of information downloaded from the Internet carry out analyzes of these data, the results of which are used in business management.
Many companies use these resources to manage their business. When processing information in the cloud, ie information collected in Big Data systems, the sentiment analysis uses the results of the analytical work carried out in this way for the strategic management of the company.
In view of the above, I am asking you: Is the synergy and interdependence between the development of analytics conducted in Business Intelligence applications and data processing in the cloud in the Big Data database systems increasing?
Please reply.
I invite you to the discussion
Dear Colleagues and Friends from RG
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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I would agree with Mr. Leonidas A. Papakonstantinidis! GREATER is the word!
AI adds an intelligence layer to Big Data to tackle complex analytical tasks much faster than humans could ever hope to!!!
Big Data is the biggest asset in the era of internet of things, and AI + clouds the only way to store, process and analyse the unstructured data provided by the web. This is the answer to “Why” they are increasingly becoming interdependent.
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Are there any ongoing work to implement artificial intelligence for the analysis processes of large collections of information collected in Big Data database systems?
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.
In view of the above, I am asking you: Are there any ongoing works to implement artificial intelligence to the processes of analyzing large collections of information collected in Big Data database systems?
Please, answer, comments. I invite you to the discussion.
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Yes.
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Will the development of these technologies of processing large data sets improve the lives of people on Earth?
The future of the development of artificial intelligence applications in analytics based on Big Data, Business Intelligence and integrated risk management processes
In my opinion, the development of artificial intelligence applications in analytics based on Big Data, Business Intelligence and integrated risk management processes can be divided into two stages:
1. Development of Big Data database technologies and their applications. This process is already underway.
2. The development of artificial intelligence applications in analytics based on Big Data, Business Intelligence and integrated risk management processes. This stage is just beginning.
Ad. 1.
Big Data database technologies find more and more applications in business analytics, in Business Intelligence, in marketing analysis, in consumer preferences research, sentiment analysis based on comments on online portals, including social media. However, how will this Big Data analytics development look like in the future? This is determined by many factors regarding various issues, including the security of transfer and processing of data contained on the Internet, technological progress of data processing, information and marketing policy of online technology companies, including companies that manage leading social media portals, etc. Add analytical capabilities conducted research on the development of Big Data technology, the potential for using Big Data for industrial espionage, cybercrime and for maintaining information security and information systems by national and supranational security services to combat cybercrime, international money laundering transactions, transfer money to tax havens , terrorism, inducing destabilization in capital markets, etc. In this regard, an "arms race" will be the formats employed in the development of Big Data technology, employed on the one hand by legally operating companies, financial institutions, including banks and security services and hackers employed by criminal organizations who will continue to break into company information systems, banks and agencies by creating new cybercrime techniques government. This "arms race" is endless and is probably one of the key determinants of technological progress that is taking place on the Internet, including Big Data technologies.
Ad. 2.
The conducted research shows that the development of artificial intelligence applications in analytics based on Big Data, Business Intelligence and integrated risk management processes is only at the initial stage of development. What will be the final effects of this development? What will be the limits of this technological development? Currently, it is not easy to get it out. It is impossible to rule out many theories that currently find their use, for example in the science fiction films about the development of robotics, intelligent internet platforms or artificial intelligence systems that manage buildings, logistics of information systems, logistics of vehicle information systems and spacecraft. One of the first such visions was filmed in 1968 directed by Stanley Kubrick: "2001: A Space Odyssey". Since 1968, we have already divided a period of high technological progress in the development of information systems, the Internet, database technologies, data processing and artificial intelligence.
Will the development of artificial intelligence materialize future catastrophic visions from "Terminator" films dir. James Cameron from 1984, trilogy "Matrix" (1999-2003) dir. Lana and Lilly Wachowski, "Niepamięć" from 2013 dir. Joseph Kosinski or "Transcendence" from 2014 dir. Wally Pfister or rather much more positive visions presented in films such as "Artificial Intelligence: AI" from 2001 dir. Steven Spielberg, "Interstellar" from 2014 dir. Christopher Nolan, "The Martian" from 2015 dir. Ridley Scott or "Passengers" from 2016 dir. Morten Tyldum?
Current technological capabilities allow for the creation of new, potential uses of artificial intelligence in the processes of managing complex organizational structures of enterprises, communication processes, in decision-making processes requiring rapid processing of large amounts of information, in processes that a person without current information technology would not be able to implement . However, an open question still remains: will the effects of these new applications of developed artificial intelligence systems improve people's lives on planet Earth? Is it too late for that? Will humanity not lead to ecological catastrophe, use of non-renewable resources, energy, clean water resources and irreversible degradation of the natural environment, failure to maintain the greenhouse effect, melting of glaciers and generating new, more powerful global climate cataclysms and volcanic eruptions? Will the development of artificial intelligence, Big Data technology and integrated risk management systems alleviate at least significantly these unfavorable processes of environmental degradation?
Will the development of these information, IT, Internet technologies, processing and analytics of large data sets help to find solutions to these problems of negative external effects of civilization on Earth, external effects that may seriously threaten humanity in the 21st century on the increasingly exploited, devastated and polluted earth?
I am currently commencing research projects in this area and I invite you to cooperation.
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What are the main determinants of the development of artificial intelligence applications in analytics based on Big Data, BI and risk management?
Some of the determinants include:
  1. Availability of large pools of big data points / data sets.
  2. Availability of hardware & software technologies e.g. High Performance Computing (HPC), GPU, IoT, Edge Computing, cloud, data lake tools like Hadoop, Spark etc., data science algorithms, SPSS, SAS, R, Julia Programming, visualization software like Tableau etc.
  3. Availability of use cases / application usage that can leverage above technologies e.g. telematics, connected car, proactive / preventive maintenance of high value assets, oil exploration, retail business cases, telemedicine, idea / sharing economy, new innovative business models etc.
  4. Availability of skilled human resources e.g. data engineer, data analyst, data scientists, business users, project sponsor, project manager etc.
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I'm looking for information on best practices in tourism used in megacities that are broadly recognized tourist destinations. Any recent data (both qualitative& quntitative) on tourist services and products offered by the city; tourist ifrastructure; tourist attractions and routes; information support for tourism; city brand promotion; networking and stakeholder relationships (investors, public and non-profit organizations, volunteers, sponsors, commercial partners, experts); interaction between tourists and local communities; ensuring the safety of tourists; KPI used by city administrations, etc.
Is there any system of criteria for best practices in this field?
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I can recommend the International Journal of Tourism Cities as a good starting point - many of the articles in there will have megacities as their focus. http://www.emeraldinsight.com/loi/ijtc
Also, Robert Maitland's work on tourism in cities and national capitals might be worth a look.
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Supply Chains are now explained as Supply Networks (or in many cases as Value Chains)  I am seeking for specific literature which explains the transition from Traditional Supply Chains to Supply Networks, and lately to Value Chains, eventually to Value Networks. 
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Dear Ylber, I hope the following literature found in Scopus is useful:
Badri, H., Fatemi Ghomi, S. M. T., & Hejazi, T. -. (2017). A two-stage stochastic programming approach for value-based closed-loop supply chain network design. Transportation Research Part E: Logistics and Transportation Review, 105, 1-17. doi:10.1016/j.tre.2017.06.012
Kong, L., & Tian, Y. (2017). Driving and transfer of value chains of circulation enterprise cluster under network economy. Agro Food Industry Hi-Tech, 28(3), 3471-3474. Retrieved from www.scopus.com
Perera, S., Perera, H. N., & Kasthurirathna, D. (2017). Value chain approach for modelling resilience of tiered supply chain networks. Paper presented at the 3rd International Moratuwa Engineering Research Conference, MERCon 2017, 159-164. doi:10.1109/MERCon.2017.7980474
Tsekeris, T. (2017). Global value chains: Building blocks and network dynamics. Physica A: Statistical Mechanics and its Applications, 488, 187-204. doi:10.1016/j.physa.2017.06.019
Best wishes!
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Economies of Scale is often linked with survival and sustainability. Yet, in most of the industry categories, there are organizations of all sizes. How is the dichotomy explained? Does it also mean that a start up should have some minimum level of resources? How to calculate such minimum level. 
Any pointer/ literature support is highly appreciated.
Regards
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Read the story of KFC restaurants all you need is the idea capital is just a means 
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Any recommendations?
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Please let me know if the following reference is useful to you:
site:
Dennis
Dennis Mazur
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I'm looking for some real life examples of Small and Medium Enterprises that have successfully adopted cloud computing. 
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I'd suggest looking at the Amazon Web Services case study page.  You can search by company types, and startups will be small enterprises.   For startups and other smaller enterprises, the cloud is much easier than building your own infrastructure.  As you scale, sometimes it can be more cost effective or more secure to host internally.
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Mergers are entered into mainly because of gaining of synergies.But there is no guarantee that every merger will be successful. I want to know the relationship between Value Creation and Mergers.
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You have plenty of good advice hete.  As you see, the relationship is sadly negative in approx 2/3rds of the time.  Acquisitions are extremely difficult to value and to integrate. The result is the acquired company and its top team tend to expropriate most of the value.  Bankinh legal and other advisory fees can be substantial as well.  The ntention of m&a is not always to create value but to change the industry and are but one way of doing this.
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I'm need some information about how to examine the influence of trust elements on business relationship outcomes?
Thanks a lot
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Hi,
the paper below could  help to answer your question.
Akrout, W., & Akrout, H. (2011). Trust in B-to-B: Toward a dynamic and integrative approach. Recherche et Applications en Marketing (English Edition), 26(1), 1-21.
Best Regards,
H.A
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It could be useful to look into GEM (Global Entrepreneurship Monitor) data, or also look at some of the Goldman Sachs 10,000 Small Business programs (UK, US).
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What do you think about it? If yes, how should we interpret that measures, ie. betweenness, closeness, eigenvector, transitivity, clustering coefficient, small world effect, etc.
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Yes. You can investigate many different intra-network and organizational features applying SNA. For instance, at the network or sub-group level, you are able to evaluate the cohesion, centrality of clusters, supply chains, franchising networks or their particular components. On the other hand, at the node level, you are able to assess the level of power, influence, prestige of particular network members.
It is worth to add that SNA can be applied either for inter-organizational networks or intra-organizational networks (e.g. comunnication analysis).
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  • Some organizations doesn’t bother with retail
  • Profitable businesses are linked to demand
  • Demand varies with people's beliefs, philosophies and requirement
  • Benefits near-far and wide.
  • Claims the business model
  • Outsider makes the commodity a fringe
  • Promise to make wellness for user
  • Advocates the design of business
  • Project "get-rich" scheme to Management
  • Activities are heart and integral to business
  • Network marketing is beneficial
  • Personal growth and compensation systems are aligned.
Currently I am evolving performance metrics for the Marketing team, hence i need to learn anew and refresh happenings around....
Inputs on - Approaches, Cases, Scenarios, Success Stories, Failures to learn from, identified opportunities, Perceived threats, Geographical limitations, Technological reach, Sustainability models, Growth practices, Economical Indicators and Social benefits can be covered.............
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Top Ten Reasons Marketing’s Essential To A Successful Business.
  1. Your competition is successfully marketing their business, why aren’t you?
  2. With more and more new businesses opening everyday, many who are direct competitors, you can’t just hope your current customers will remain loyal.
  3. It’s important to keep your brand in the public’s eye, out of sight=out of mind.
  4. Without knowing what you have to offer, how will your customers be able to decide where to spend their money?
  5. Marketing consistently builds your brand.
  6. The future of your sales, business and profits literally depends on it.
  7. When done properly, cohesive marketing delivers the highest ROI (Return On Investment).
  8. Executed strategically, marketing campaigns can deliver the specific demographics your business needs.
  9. Those who market their products or services are more credible in the eye of the consumer than those who don’t.
  10. A skilled marketing campaign can nearly double your sales overnight when implemented properly.
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Based on a large corpus of literature (e.g. Edgar M. Hoover, Frank Giarratani, Erik Dahmen, Stan Czamanski to name just a few), we can argue that industrial cluster is an a-spatial (a-territorial) phenomenon. Yet there are as many publications that prove the opposite. What do you think? Please provide your own judgment.
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I very agree with last opinion. I can add, that in our research driven in last 10 years in Polish Industry System, I see significant meaning this two different tracjectories in well- and low-developed countries. In first group, spatial proximity plays important role for innovation activity. For second group, more important is technological proximity. It seems, that in less-developed countries spatial and technology proximity work opposite way - closest means lack of knowledge. It's much different as in well-developed countries.
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I´m developing a way to increase the value of a business network. Therefore you first need to know which other companies could be interesting to support the network reaching its goals.
Are there methods available or is this first step conducted in a more general way? So to say, that you define the goals, look what your company can contribute and identify the actions/values, which your company isn´t able to provide. And after this your looking out for companies, which can complete them.
Thank you in advance.
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I would suggest to read 2 of my papers: 1. the light side and the dark side of inter-firm collaboration, Corporate Ownership and Control Journal, 2009 and Why networks often fail, Tourism mgmt, 2014. In these papers, I propose a model where I analyze the reasons why networks may fail or take off, looking at partners' features as antecedents. These antecedents can be used also to examine positive situations.
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Moore(1993) suggests that scholars replace the word "industry" by the word "ecosystem". It has a more complex meaning. So I want to launch a study about the transformation of some specific business ecosystem.
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This is high time of business ecosystem and their transformation from competition to co-opetition. Industries are restructuring with the change in technology and management
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 It needs to be assessing whether my belief that I trust you, or you trust me converges with the actual trust you have in me. Is there a gap between perceptions/beliefs and reality. In other words, if we want to know we are successful in making sure that others trust us, how do we know that they trust us sufficiently?
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All organizations in all sectors are based on trust; trust between management and employees, trust between management and owners, and trust between the organization and its customers. The high percentage of concern from consumers, especially green customers about the ingredients of their products confirms that there is a trust gap between companies and their consumers.
Furthermore, banks around the world are looking at online banking services as the next technology to reduce costs while maintaining or enhancing services to customers. Banks must understand, however, that the mediating use of technology increases the mistrust distance between banks and their customers.
Trust is critical to business success. Business leaders regularly pay homage to the need to earn and retain it. And no less a luminary in business than Warren Buffett has observed that trust is "like the air we breathe. When it's present, nobody really notices. But when it's absent, everybody notices."
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Maybe the question isn't well asked. I can't find any research on it. Thanks!
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Following one of the most prominent B2B marketing scholar, Hakan Hakansson, B2B interactions is one of the most important and less explored field of research. I'm trying to explore the role of a specific kind of B2B interaction, my research team called "intermediate market trade contacts (ITC). One of the key feature of this resource is that it can be quantified and compared on international scale. We identified a direct and strong relationship between the number of ITC and proxies of competitive advantage in 27 European B2B markets and in the US B2B market. I'm looking for research-partners to continuously improve the productivity of this exploration. If you're interested in it, please don't esitate in contacting me. Bye! maurizio
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What are the factors one needs to consider when planning to do business in any country of interest? For instance: GDP, Political Stability, and so on.
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Michael Porter in his analysis stragique to start a business in a foreign country or hers said it is important to take account of political factors (stability, political regime: democratic-communist dictacture etc) Economy (GDP, income, etc.) Social (young adult population-retired, culture, etc.)
Legal (the law on investment, entrepreneurship etc.) Ecological (cyclonne, global warming, etc.). all that is called PESTLE analysis according Michaael Porter
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Policy engagement capacities
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Actually I am looking for somebody to offer technical reviews on some of the research that we have have done especially in policy engagement arena..... do you know of any body?