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Sales - Science topic

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I need a dataset which consists of following information:
1. consumer demographics
2. product features
so basically sales data of product with consumer demographics corresponding to each sale
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search in Kaggle
good luck
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True or false: a vendor is better at sales if that seller can make more money for selling less value? Why or why not?
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A vendor who focuses on providing genuine value to customers, even if it involves selling a higher-value product or service, is likely to establish trust and credibility. Over time, this approach can lead to customer loyalty, repeat business, and positive referrals. Hence i feel your statement is false.
Hope it helps
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Aim of the study
To analyse the impact of social media marketing on sales and promotion of hotels.
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Yes, the incorporation of social media marketing tools can help businesses create new sales and promotion opportunities. Here are some specific examples:
  1. Social media scheduling tools
  2. Social media analytics tools
  3. Social media monitoring tools
  4. Social media listening tools
  5. Social media automation tools
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The buying and selling of credits that permit a company or a country to emit a certain amount of carbon dioxide or other green houses. The carbon trading is done with a goal of gradually reducing overall carbon emissions and mitigating their contribution to climate change. Carbon trade agreement allow for the sale of carbon credits in order to reduce the total emissions.
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Carbon trading, also known as emissions trading or cap-and-trade, is a market-based approach to controlling and reducing greenhouse gas emissions. It is a system designed to incentivize organizations, industries, and countries to limit their carbon dioxide and other greenhouse gas emissions. The goal is to mitigate climate change and global warming by putting a price on carbon emissions.
Here's how carbon trading works:
  1. Emission Allowances: A regulatory authority (such as a government or an international organization) sets a cap on the total allowable emissions within a certain period. This cap is divided into emission allowances, each representing a specific amount of emissions.
  2. Allocations: Initially, these emission allowances are distributed among companies, industries, or countries that are part of the trading system. Some entities might receive more allowances than they need, while others might receive fewer.
  3. Trading: Entities that emit fewer greenhouse gases than their allocated allowances can sell their surplus allowances to entities that exceed their allowances. This creates a market for buying and selling these allowances.
  4. Market Dynamics: The laws of supply and demand come into play. If a company is struggling to meet its emission reduction targets, it can buy allowances from others who have a surplus. Conversely, those with a surplus can sell their allowances and potentially invest in cleaner technologies.
  5. Incentives for Reduction: The trading system encourages companies to reduce their emissions to stay within their allocated limits or even generate revenue by selling excess allowances.
The idea behind carbon trading is to create economic incentives for emission reductions. Companies that can reduce emissions at a lower cost can sell their allowances, while those facing higher costs can buy allowances to comply with regulations more economically.
Carbon trading is a tool aimed at achieving emissions reduction targets outlined in international agreements like the Kyoto Protocol and the Paris Agreement. It offers a market-based solution to address climate change while allowing flexibility for industries to transition to cleaner technologies and practices.
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In a social market economy, is the concentration of capital and monopolization of markets through the development of large corporations a manifestation of the imperfection of realistically existing markets?
In a social market economy, is the concentration of capital and monopolization of markets through the development of large multinational corporations that take over most of the markets for the sale of their product or service offerings the result of objectively operating processes of a highly liberalized system that allows the market mechanism to operate, or is it rather a manifestation of the imperfection of realistically existing markets?
The basis for this question is the changing relationship in many countries over the past few decades between the numerous economic entities that make up the SME sector and the few large corporations that increasingly monopolize markets and displace the many smaller companies and enterprises that make up the SME sector.
And what is your opinion on this topic?
Please answer,
I invite everyone to join the discussion,
Thank you very much,
Warm regards,
Dariusz Prokopowicz
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A capitalist market economy does always end up in monopolies, privileges and concentration of wealth; the social market economy is an ideal of christian (biblical) social teachings, which was popular after WW2 to counter communist ideology in Western countries. Of couse, a market economy can function without a capitalist monetary order; the paradox of history itself is that capitalism has become a planned economic system, with central banking, which was the original proposal of K. Marx. In this sense, state monopoly capitalism, at the moment, which is no more capitalism but rentocracy, tries to preseve itself with the recipes of communism. It seems to be the case, dear Dariusz Prokopowicz , that we are slowly becoming part of an economic comedy; hopefully, not with a tragic outcome.
If we live our lives as a gift it is possible to reach a blissful state of eternal happiness. It is those who live their life with a sense of entitlement that undermine peace , freedom and liberty. Know that every breath is a miracle and every moment a blessing and you will achieve your dreams. Planning other people's actions means to prevent them from planning for themselves, means to deprive them of their essentially human quality, means enslaving them.
Ludwig von Mises
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Is the Choose-this-hole model for sale and what company manufactures it?
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Could you please clarify your question?
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What are the aquafeeds available in the world market? share and sales?
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There are many aquafeeds available in the world market. According to a report by Grand View Research, the global aquafeed market size was valued at USD 72.5 billion in 2022 and is anticipated to grow at a compound annual growth rate (CAGR) of 4.4% from 2023 to 2030
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According to CNN, the United States of America has approved the commercial sale of lab grown meat. The idea is plausible but ethically, is it right to consume such meat?
As an individual, will you feel offended if you are served cultivated or lab grown meat (uninformed or unknowingly) in an eatery that you use to patronize before?
What will be your reaction?
To sue them, I presume.......hahahaha!!! Or you will just sit back & enjoy your meal?
Your reactions can help enlighten the public and the government too, with regards to what they should & shouldn't approve.
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The ethical implications of consuming lab-grown meat vary depending on one's perspective. Supporters argue that it has the potential to address issues such as animal welfare, environmental sustainability, and food security. Lab-grown meat can be produced without raising and slaughtering animals, reducing the need for land, water, and other resources associated with traditional livestock farming. It could also potentially reduce animal suffering.
On the other hand, some people have concerns about the long-term health effects and safety of lab-grown meat, as well as the potential impact on traditional farmers and the economy. Additionally, there are philosophical and cultural considerations surrounding our relationship with food and the natural world.
If someone were served lab-grown meat without being informed, their reaction could vary. Personally I might not have any issue with it and simply enjoy their meal, while others might feel deceived or have concerns about the unknown health effects. Whether legal action is taken would depend on the specific circumstances, local laws, and the individual's personal values and beliefs.
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I need to vent my frustration! As the editor of a powerful and cost-free magazine for readers, I've been trying to bring researchers from other countries to share their ideas with us. Our magazine is a potent platform interested in circulating ideas from around the world within the Brazilian environment, and the best part is that we don't charge anything for its circulation. Unfortunately, many seem to ignore my messages, possibly due to those damn predatory journals out there, spamming our email inboxes without any quality criteria. It's incredibly frustrating. We need to value legitimate publications and promote quality academic dialogue. Any tips for fostering dialogue?
//
J'ai besoin de me confier sur ma frustration ! En tant que rédactrice en chef d'un puissant magazine gratuit pour les lecteurs, j'essaie d'amener des chercheurs d'autres pays à partager leurs idées avec nous. Notre magazine est une plateforme puissante intéressée par la circulation d'idées du monde entier dans l'environnement brésilien, et le meilleur dans tout cela, c'est que nous ne facturons rien pour sa diffusion. Malheureusement, beaucoup semblent ignorer mes messages, probablement à cause de ces maudites revues prédatrices qui pullulent, envoyant des messages dans nos boîtes e-mails sans aucun critère de qualité. Cela me rend très frustrée. Nous devons valoriser les publications légitimes et promouvoir un dialogue académique de qualité. Auriez-vous des conseils pour favoriser les échanges ?
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I can understand your frustration, but it's important to stay positive and keep trying. Here are some tips that may help in fostering dialogue and attracting researchers to share their ideas:
Be clear and concise in your message: Make sure to clearly communicate the purpose and benefits of your magazine in a concise manner. Researchers receive a lot of emails, so it's important to make your message stand out and get straight to the point.
Highlight the quality and legitimacy of your publication: emphasize the quality of your magazine, citing examples of high-quality papers that have been published. Researchers want to know that their work will be given the appropriate attention and credence.
Show appreciation for their work: Demonstrate that you value their work and contributions, and show interest in their research areas. Reach out to them in a personal manner and let them know their work is valued.
Use different channels: In addition to email, consider using social media, academic networks, and other media to engage with researchers. These platforms can help to reach a broader audience and increase the visibility of your magazine.
Collaborate with other organizations: Consider partnering with other organizations to collaborate on publishing and promoting high-quality research. By working with other organizations, it may be easier to bring in researchers and gain greater credibility.
Remember, fostering meaningful dialogue and collaborating with researchers takes time and effort, but it's possible. Hang in there, and keep pushing forward!
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  1. Step 1 - Cost Analysis: Understand the total cost of production for each item. This includes direct costs like materials and labor, and indirect costs like overheads. This will form the baseline for your pricing strategy.
  2. Step 2 - Value-Based Pricing: Determine the perceived value of your product to the customer. This can be done through market research, customer feedback, and analyzing the prices of similar products in the market. The price should reflect the value that customers are willing to pay for the benefits they receive from the product.
  3. Step 3 - Competitive Pricing: Analyze the pricing strategies of your competitors. While Schenck's products may be unique, understanding the pricing landscape in your industry can provide valuable insights. If your prices are significantly higher than similar products in the market, customers may perceive your product as overpriced, even if the value and quality are higher.
  4. Step 4 - Dynamic Pricing: Consider implementing dynamic pricing based on demand and market conditions. For example, you could increase prices during periods of high demand or offer discounts during slower periods to stimulate sales. This requires a good understanding of your market and regular review of your pricing strategy.
  5. Step 5 - Price Testing: Test your new pricing strategy on a small segment of your market to see how it performs. Monitor sales, customer feedback, and profitability to assess the impact of your new pricing strategy.
  6. Step 6 - Review and Adjust: Regularly review your pricing strategy and make adjustments as necessary. Market conditions, cost structures, and customer preferences can change over time, so your pricing strategy should be flexible enough to adapt to these changes.
Remember, the goal of your pricing strategy should be to maximize profitability while providing value to your customers. It's a delicate balance and may require some trial and error to get right.
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This is a marketing decision.
What kind of image do you want to project?
If you want to be seen to be exclusive, then premium pricing (high price) is the answer. Ferrari does this well, their cars cost £1 million, this does not reflect the cost of building the car, but the value added to the brand.
If not Skimming pricing, start with a high price to launch to create an image of high quality, then reduce slowly to mass market. The phone companies (Apple, Samsung) do that. I phone 13 is $1500, Iphone 12 $ 1200, I phone 11 $900, I phone 10 $500, etc. But they all started at $1500 at launch.
Then you have penetration pricing. You start low price, cost price sometimes to capture large part of the market and then raise the price slowly once you have loyal customers, this is Disney+ to take market from Netflix. They started at £5.99 a month, now it is £7.99 a month.
Then you have economy pricing, you sell cheaper, with reduced profit margin, hoping for high volumes of sales but then you project an image of cheap product. This is the Big Mac!
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We are looking for diatom cultures (Achnanthidium delmontii, Achnanthidium druartii, Achnanthidium rivulare, Actinocyclus normanii) either for sale or for cooperation. Is there anyone who deals with these kinds of diatom strains or can you recommend someone?
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The sale of the above solution for the treatment and prevention of contamination of water baths within CO2 incubators is not permitted in Europe anymore.
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Hi any luck with Aquaguard solution or an alternative to it? I am also looking for an alternative as it is hard to find one to buy.
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Currently the cybersecurity is reactive. It reacts to the presence of certain signatures in the operating system, applications, middleware, protocols, frameworks and networks. When these signatures are detected, the appropriate patches are applied to plug the vulnerabilities represented by the signatures.
In this reactive approach, the initiative remains with the attacker. The defense is reactive to what the attacker does. And there is always a time lag between the initiative by the attacker and the construction of the corresponding signatures.
This is not a winning strategy.
Cybersecurity has taken many directions, trends, and new ideas. But this scenario has not changed, the strategy remain a strategy that is not a winning strategy.
In human based decision making, the law enforcement preempts the offender, and arrests the offender before the offence has taken place.
In cybersecurity, we need such a strategy. This would preempt the attacker. It would stop the attack before it begins.
Choudhary Associates in Bowie, MD, have a product that can accomplish this. That constitutes a winning strategy. The details and operations are proprietary. They cannot be disclosed. But the product can be demonstrated in operational scenarios.
Who do you think is a potential customer? How do you think the product can be marketed (currently there is no sales and marketing budget).
Would you be willing to invest in further development, marketing and sales? Who would be interested? Who could be a financier?
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Cybersecurity based on signatures and patches is not a winning strategy
Cybersecurity based on signatures and patches is not a winning strategy. Signature-based detection only works when the threat actor is using known malware, which they often are not. In addition, patches are not always effective against zero-day threats. A better strategy is to use a layered approach to security, which includes monitoring and controlling network traffic, using multiple layers of defense such as firewalls, antivirus software, and intrusion detection systems, and educating users on safe computing practices
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I have data on sales and various marketing efforts, such as advertising spend, social media engagement, and promotional activities. How can I use regression to quantify the effectiveness of these marketing strategies on sales?
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It's as easy as it can be on Spss. First you have to enter your quantitative data into Spss. Identify your variables in the variables view. In the data view, you transform the measures of your Marketing strategies into composite variables. Also transform your sales variable into a composite variable.
Then, click on analyze >>regression >> linear. Drag your independent variables (marketing strategies) into the independent variables box. Drag your dependent variable (sales) into the dependent variable box. Then click okay.
Your multiple regression output will come out showing the relationship between your variables as well as the effects of each of your marketing strategies on the dependent variable - - sales.
You can send me a direct message here for more clarity. I might have not been so detailed in this answer.
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Why do we vent the chamber with N2, because anyways it is going to be in the atmosphere while transferring the sample?
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still, the points I made are valid but, of course, you can also vent the chamber with air - normally nitrogen is used because it doesn't react and nearly every lab has a nitrogen gas supply. If you use bottled gas, also no dust and dirt is sucked into the chamber.
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Price-elasticity models do not fit here (since they need previous/historic data with price changes to 'learn' the effect). We have sales-data for different items (with no price-changes till now). Business owners are thinking of changing the prices for the first time, and would like to estimate the customer reaction. (Customers are not tracked, anonymous and opportunistic).
There are no restrictions on the methods used as long as the problem can be solved or Suggestions are made. thanks
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There are two types of items. One is high price elastic and other one low price elastic and essential commodities are third group. hence change in demand will depend on this type and coefficient of relationship. In launch of new product price fixation is a major exercise done prelaunch by surveys of consumers and studying alternative products. For example price of liquor specially premium brands wont much affect demand. Same way drugs wont be affected by price change. yes but in drugs consumers can shift form branded medicines to generic medicines supplied at much lesser price. Price change will affect only discretionary and non essential purchases. If consumer can do without product elasticity will be high . Mostly in ral world economics theories don't work since there is no perfect competition and there is always price leader in that field or cartels. hence prices are increased together by all suppliers, If the inflation raises the earnings of citizens at the same time demand is hardly affected. It is complex subject and often dealt with by excerpt agencies. The sales managers keep doing trials and collect opinions and data form consumers and dealers about demand estimate at a given price band. I am using price band not price point. Since in certain range consumer wont discern . Alternative product example is airlines. You cant raise fairs significantly since people will shift to car travel by road or railroad. In fact airlines globally have been making losses as they were heavily taxed, salaries and operations cost were high but consumer wont pay more as they have alterative cheaper transport. Some allege that airlines are deliberately put in loss to subsidize rich and bureaucrat class at cost of poor tax payers by refinancing losses by governments. After all glamour costs money which passengers really don't need. In short in premium voluntary use products price change wont change demand. In others it will depending on elasticity and market liquidity
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impact of packaging as a brand marketing strategy
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Good packaging is a very important element in product marketing
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My lab is interested in buying ovariectomized rats/rabbits/guinea pigs for one of our studies. Are there any prominent companies specializing in the sale of animal models that are also able to provide ovariectomized animal models? Also, if any of you have previously worked with ovariectomized animals, have you performed the ovariectomies yourself or outsourced it to the animal model companies?
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We can provide
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I'm analyzing survey data for my thesis. My dependent variable is sales channel selection and independent variable is channel attribute such as time, ease of use, price etc. How do I analyze if there is a correlation between one of the attributes ease of use on channel selection?
Will normal linear regression work? How will it interpret the likert scale?
Or is there any other method to do so?
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It is not strictly required to recode the Likert scale values to numerical values (-2 to 2) before applying regression, but it can be useful in some cases. For example, if you want to use a linear regression model, it may be more appropriate to use numerical values rather than ordinal categories. The interpretation of the results will also be different. When using ordinal categories, the coefficients represent the change in the dependent variable associated with a one-unit change in the independent variable, whereas when using numerical values, the coefficients represent the change in the dependent variable associated with a one-unit change in the independent variable.
The table you provided shows the results of a linear regression analysis where ease of use is the independent variable and channel selection is the dependent variable. The dependent variable is modeled as a linear function of the independent variable, with an intercept and a coefficient for each level of the independent variable.
The intercept (0.37931) is the expected value of the dependent variable when all independent variables are equal to zero.
The coefficients for EaseLow priority, EaseModerate priority, EaseNeutral, and EaseSomewhat a priority represent the change in the dependent variable associated with a one-unit change in the independent variable, holding all other independent variables constant.
The t-value represents the ratio of the coefficient to its standard error. The larger the t-value, the more significant the coefficient. The p-value is used to determine the significance of the t-value. A small p-value (typically less than 0.05) indicates that the coefficient is significantly different from zero and that the independent variable has a significant effect on the dependent variable.
In this case, all independent variables have a positive coefficient and a p-value less than 0.05, which suggests that ease of use is positively associated with channel selection. Additionally, the coefficients for EaseLow priority and EaseModerate priority are larger than the others, which suggests that these levels of ease of use have a stronger positive effect on channel selection than the other levels.
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Is it okay to use air compressor to operate Pneumatic valve and vent the chamber instead of using nitrogen cylinder or generator.
And how long will it take to achieve 10-6 T as with N2 cylinder it can be achieved almost within 2-3 hours.
Thank you
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Okay, Thanks a lot Yogesh Singh for answering.
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I am a PhD student specializing in marketing, in the process of conducting a study on the factors affecting the customer’s lifetime value. I am asking for assistance in obtaining a company sales database, provided that it has various data that allow calculating the customer’s lifetime value and the influencing factors such as relationship duration, type of product, Prices, discounts...
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Customer lifetime value (CLV) is a prediction of the net profit attributed to the entire future relationship with a customer. The CLV can be affected by a variety of factors, including:
  1. Customer retention: Customers who remain loyal to a brand over time are more valuable than those who make one-time purchases. Therefore, strategies that increase customer retention can have a positive impact on CLV.
  2. Product or service offerings: Offering a wide range of products or services that meet the needs and preferences of customers can increase the likelihood of repeat purchases, which in turn can increase CLV.
  3. Brand reputation: A strong brand reputation can increase customer loyalty and trust, which can lead to repeat business and higher CLV.
  4. Customer experience: Providing customers with a positive experience can lead to increased loyalty and repeat business, which can have a positive impact on CLV.
  5. Marketing and promotional strategies: Effective marketing and promotional strategies can attract new customers and increase repeat business, which can have a positive impact on CLV.
  6. Demographics: Understanding the demographics of the target market can help tailor marketing strategies and product offerings to increase CLV.
  7. Pricing strategies: Pricing strategies that provide value to the customer while still generating profit for the company can have a positive impact on CLV.
Overall, companies can increase CLV by focusing on customer retention, offering a wide range of products and services, building a strong brand reputation, providing positive customer experiences, and implementing effective marketing and pricing strategies.
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Hi frds,
looking for some cluster analysis about millennials and early Gen Z in the USA.
What is the proportion of e.g. hedonists, traditional consumers, or ecologists?
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Gen Zers and millennials are turning to freelancing in greater numbers than ever before. Here's why.
"The proportion of freelancers hit an all-time high at 39% of the US workforce, up from 36% in 2021," Margaret Lilani, the vice president of talent solutions at the freelance platform Upwork, told Insider via email...
The reasons for freelancing vary, but common factors include flexibility and the desire for control...
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Good day everyone,
I am Cecilia, I recently published an article PrognHathism and Skeletal Class II - Definition from Dental Council of Hong Kong, it mainly gave the definition of Prognathism which means one or both both is protruded, it can be upper (maxillary) or lower (mandibular) protrusion and discuss a paragraph for the definition given by them. The attachment is in pdf, it shows the screenshots.
I can send the video for the redirect method.
Just after the publication, someone uploaded the paper to some malicious website.
The real official one are
In researchgate and Linkedin
I have the full right and I did not authorize anyone to upload to these malicious website.
1. . If I search Prognathism, Dental Council of Hong Kong, it shows the above official website and the document but also some malicious website or redirect..
2. the malicious websites are
3. They either said that your computer is infected (may be true) or redirect to Amazon for the Samsung sales, Amazon and Samsung sales may also be the victims, we need to investigate.
I reported to the USA phishing since the publisher is in the USA. Please help to report the case and assist us. Anyone can be a victim if we do not stop it as soon as possible, anyone can upload any information to malicious website by the similar method.
Thank you very much.
Cecilia
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I attach the video related to the redirect motion.
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In one of our compressor ( LP casing), NDE side dry gas seal is suddenly showing zero pressure and flow from primary vent side (which is normally 0.3 kg/cm2 & 8.5 Nm3/Hr) and secondary seal gas N2 supply pressure is increased to 3.71 kg/cm2( same as header pressure) from normal 0.5 kg/cm2 and flow meter is showing no flow condition. When we opened primary vent line at 1st flange of casing, it is showing slight primary vent flow which is not measeured by PI.
There is no HC presence in seconday vent also.
Didi anyone faced similar problem? What are the possible causes and remedial measures ?
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Unless schematic flow diagram with valves and instruments is available definite comments cant be made .You can send me to :cityju@rediffmail.com
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I would like to estimate a model in STATA, in which I have a variable called Export Intensity (Exports/Total Sales). As the measurement units are different, I prefer to use natural log of all the variables. Export intensity is in ratio (Decimal numbers) format, taking its ln gives negative numbers. Does it create problem if I use it in the estimation?
To avoid the problem of giving negative numbers, I can multiply the whole series with any multiple number (x100, x1000...), and then take ln, which will then give me positive numbers. Is it a right way to do so and use this new series in the estimation of the models? Thank you.
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There is no problem because the variable you use (log of exports/sales ratio) has negative values.
The underlying relation that you are going to estimate export/sales = exp(Xb) holds equally
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Hello everyone. Please I need a dataset for a project. It's about predicting sales volume and revenue for a retail business. Please I will be grateful if anyone can share a dataset on this.
Thank you
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Can you exactly mention what kind of data you are looking for?
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Am looking for an email datasets from B2B sales. Is any data sources available?
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Shafagat Mahmudova , Fredrick Ishengoma what am looking for mail conversations among B2B sales, not as a email list . Thanks for this
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Dear frds,
scooping through the static socio-cultural typology clusters, I would like to learn more about the rigidity between the clusters in an intertemporal context.
How big is the difference between Continental Europe and the USA?
How likely is it that a traditional consumer morphs into an ecologist for example?
Cherish your feedback.
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I guess this is a question about actual social statistics. How prone are people in different parts of the world to change their views. Without having any actual empirical evidence in the form of the statistics you require, I can speculate. The US has a very polarized political scene, and low social mobility. My first guess is therefore that people would be more rigid. But then there are other things that might draw in the other direction. Namely education. Education is a strong form of mental conditioning. While it liberates, it also limits. In addition, the US notions of freedom are often defined as freedom from centrally or federally controlled norms. While Europeans focus on social mobility, economics etc. I am not sure what the sum total of what I am saying is. I am just brainstorming. Best of luck
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Hi frds,
would like to learn more about the socio-cultural clusters of Vegans and Vegetarians in Western Societies.
A breakdown of motivations e.g. climate, ethics, health, etc. would be great. Has it got the potential to go mainstream, given the anthropogenic idiosyncrasies in Western Culture and Rituals?
Cherish your feedback.
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Hello Thomas!
That sounds interesting. Are you planning on doing a research about it? And what age group are you thinking about?
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Hi there,
looking for the most recent independent research about the Socio-Cultural Typology Clusters in the United States with clusters such as Postmodernists, Hedonists, Traditional Consumers, Ecologists, etc. with an analysis of their ability/willingness to adapt to changing circumstances.
As the coasts are very different from the center it would be awesome to study two or more areas.
Cherish your feedback.
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Norma budaya pada kehidupan ini melahirkan esensi nilai kehidupan yang menyertakan pada sikap dan perilaku manusia dalam kehidupannya. Tipologi Sosio kultural itu memberikan arti bahwa hidup selalalu berdampingan satu sama lainnya
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Hi!
I'm currently working on a Data Science project for optimizing the prices of the products one of the biggest supermarket chains in Mexico.
One of the things that we are working on, is finding the price elasticity of demand of such products. What we usually do, is that, apart from fitting an XGBoost model for predicting sales, we fit a linear regression, and we get the elasticity from the coefficient corresponding to the price (the slope).
However, it is abvious that linear regression is sometimes a poor fit for the data, not to mention that the execution times are way longer since it requires to run separately XGBoost and LR (which is not good considering that there are thousands of products to model).
Because of this, it ocurred to me that we could use numerical differentiation for finding the price elasticity. At last, calculating a numerical derivative is way faster than fitting another model.
However, I'm not sure if this is mathematically correct, since the data does not come from a function.
So the question would be, is this mathematically correct? Does it make sense?
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From my experience, I would not use a linear predictor for elasticity. I know your question is asking about mathematically correct solutions but I don't think that's your issue. I would probably use logistic regression as a first choice.
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Hi!
I was trying to perform an assay, and I thought it could be interesting to have some type of vessel such as an Eppendorf of 1.5 mL with a ventilated cover but I can't find it to buy.
Thank you very much,
Ismael
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Hi Ismael,
just don't screw the cap on tightly
good luck
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Hi,
I wish to conduct analysis using secondary data using SMART PLS 3.0. How do we do this ? Request for some sample papers using this method.
Regards
Avinash
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Hi,
We would really appriciate some help building regression model(s) using a paneldata set. The dataset consists of data from retailstores over two years. Our research question are as follows: How does different payment methods affect retailstores unregistered shrinkage?
As a result we want to see which payment method that gives the highest increase in shrinkage, and compare the payment methods.
We have tried to use these following models, but the results does not make sense. y = x1 + x2 + x3 + u
  1. Shrinkage = sale self-service checkout + revenue + region + u
  2. Shrinkage = sale ShopExpress + revenue + region + u
  3. Shrinkage = sale served checkout + revenue + region + u
We want to control for the stores size and region, which is why these variables are included. Also all stores in the dataset have served checkouts, and some have self-service and ShopExpress (Scan and go). We are therefore not able to use dummys for the payment methods?
We have also tried with this model, but also gets weird results:
4. Shrinkage = dummy served checkout + dummy self-service + dummy ShopExpress + revenue + region
  • Is there a better way to create the regression models? Is it possible to gather them into one model?
  • Do you have suggestions for other control variables that we should include?
  • To be able to run the random effect model, we had to transform the variables into natural logaritm form. Does it make sense to use ln?
Thank you!
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See the attached reference. Best wishes David Booth
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Hi, Could you please suggest a book or genuine paper for understanding marketing /sales funnel in Digital Marketing?
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You can refer inderscience journals related to marketing domain
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examine the rule of caveat emptor to sale of immovable property.
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A transfer of clear title in favour of the buyer of an immovable property also requires that the buyer should be a bonafide purchaser. That is he took all the diligence available to ascertain that the immovable property in question has a clear title vested in the vendor. Thus, the caveat emptor also determines the bonafide of the buyer and saves his legal rights and financial interests against others including the vendor or the third party.
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Does anyone know any source of information on commercial licensing of strains (bacteria, fungi, yeast) for commercial purposes? I am looking for information on possible transfer prices (other than royalties on sales). Thanks in advance.
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Hi Leticia,
Here below is a useful link, please take time to have a look at it, it contains a lot of information, all the best.
Kind regards,
Sofiane
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all interval/ratio data
DV are
Temperature
Distribution
Price
IV is
Sales Volume
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Dear Jevohna England,
The relationship between the IV and DV should be termed as "the effect of a variable (IV) on the other variable (DV)". In this context, your IVs are Temperature, Distribution and Price and the DV is Sales Volume. Accordingly, the relationship between the IVs and DV can be termed as "The Effect of Temperature, Distribution and Price (IVs) on the Sales Volume (DV)" as indicated above by Piyush Sharma.
Hence, you have to initially (first) run the correlation analysis to confirm the significant relationship between the variables. If the correlation between an IV and DV can confirm the effects of IV on DV and between IVs can confirm the existence of a level of multicollinearity. Once you confirmed all these, then it is appropriate to run the Multivariate Regression as indicated above by Marcelo Linardi.
Hope this will help you. If you have a question, feel free to communicate.
Good luck with your progress.
Regards,
S. Senthilnathan.
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More and more companies merge, creating larger groups. In the process, there is a search for focus - with the consequent sale of companies active in areas not seen as essential. At the same time, new businesses, startups, are responsible for great amount of the innovation. Many startups attract resources from large groups, which funds their growth and enables the innovative process. The question at stake is whether mergers and acquisitions are positive to the economy.
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Do you discount if a consumer ask for a discount? And if so by how much? And is there a difference between customers in terms of the discount strategy?
When you answer, please support your answer by scientific papers so I can read more on the topic.
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My objective is to analyze the impact of inflow of FDI on innovation. I have data on industry level FDI and innovation. However, other control variables are firm specific(like debt to equity ratio, net export, marketing expenditure, total income/total sales). My question is, can I run a panel based on such firm specific and industry specific information?
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Yes, you can add both firm-specific and industry-specific variables and regress them together. However, in terms of explanation, you need to be very specific. It is suggested that you create different panels of your results and then proceed with the explanation.
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Dear research community members,
If anyone especially those who reside in Thailand knows a sales representative for RPA TwistAmp® basic (TwistDx, UK), please kindly let me know. I will be very appreciative.
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Asalamulikum,
Researchers I need your help to fined out an instrument of workplace Venting. If any one have a source paper or scale . Plz kindly send me .
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What's this
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Hi all,
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Dear David, I surely read your answer, but maybe I was not clear. I was supporting your statement that count variables are typically not suitable for OLS regression and hence not for PROCESS. And my second part referrered to that even if the dependent variables were unbounded, metric etc, i.e. ok for OLS regression, PROCESS would not be able to handle the (structural) model that the OP was asking for. PROCESS cannot handle several IVs and several DVs. It is only possible to specify one IV, one DV, two moderators, several mediators and covariables. If you meant this, I think this was not clear and your attachment do not directly refer to this topic.
Best, Rainer
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I am looking for total assets/ total sales data of parent multinational companies .
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Bloomberg's
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I noticed on the Internet and even on RG that many researchers escape the answer of this question, where they say it is not good or bad, but it is low and high. For low SDs, we know that the variance is small and the values are close to the mean, but for large ones, we see data dispersed around the mean.
Still, the question is how large and how low...? Still I did not get am answer?
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I guess we teach our students to check both (Mean and SD) as we can have the same mean with different SDs. Which means that the SD calculations are not integrated into the Chi Square value, but can have both... I guess
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I am looking for a total number of patents (with International Patent Classification) invented by Chinese listed companies in English and some financial information such as sales, R&D investment, leverage ratio, ROE, and so on from 2000-2020.
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Emerging Markets Information Service (EMIS) has a wealth of information in a database of > 400,000 Chinese companies. https://www.emis.com/countries/China is the go-to source for many China researchers.
EMIS also publishes quarterly updates on different economic sectors, such as Banking, insurance, Transportation, Agribusiness.
Remarkably, their Real Estate sector report flagged the Evergrande crisis in 2019!
The China Company Database http://chinacompanydatabase.com/ is also useful, with 27 fields of data, including sales, employees and exports.
The website of National Enterprise Credit Information Publicity System, http://www.gsxt.gov.cn, has company registration and credit information.
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Having difficulty sourcing any companies that make them for commercial sale - can anyone help?
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Yes i think
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The Federal Inland Revenue Service (FIRS), in a letter dated 10 August 2021, addressed to the Association of Bureau De Change, confirmed that Bureau De Change (BDC) operators are not liable to charge Value Added Tax (VAT) on the sale of Foreign Exchange (Forex) with effect from 1, January 2021.
In Nigeria, BDC operators are regulated by the Central Bank of Nigeria (CBN), who determines Forex buying and selling rates. However, the income earned by BDC operators have continued to come under pressure due to the statutory commission paid to the CBN and the imposition of VAT by the FIRS, who argues that the income earned by the BDC operators are liable to VAT.   Given this challenge, BDC operators and stakeholders had engaged the government to obtain VAT exemption for their operations.
Please this is open for discussion
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Interesting points.
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I am doing research on sales techniques, I have been working with techniques such as consultative selling method, scientific selling, SPIN method, the challenging salesperson, SDR model, Sandler Selling System, SNAP selling, FAB technique and BYAF technique.
The applicability of these techniques will depend on the type of client (consumer or corporate client), as well as the type of vendor (account representative, visitor, technical vendor, group vendor, telephone vendor, e-commerce vendor, network vendor, among others).
What other sales techniques could you suggest for research?
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Please check Miller-Heyman model from the book The New Strategic Selling. It is particularly effective in B2B scenario.
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Hi, does anyone know theories related to (improvement of) product information and/or product (detail) page for online retailing? It will be appreciated a lot - thanks!
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Hi
The selling of a product largely depends on the quality of the product since the consumer does not buy the product rather he buys the product for its quality attributes. Therefore, you can follow the two following articles for information on product quality:
1. Caswell, J. A., Noelke, C. M., & Mojduszka, E. M. (2002). Unifying two frameworks for analyzing quality and quality assurance for food products. In Global food trade and consumer demand for quality (pp. 43-61). Springer, Boston, MA.
2. Caswell, J. A. (2006). Quality assurance, information tracking, and consumer labeling. Marine pollution bulletin, 53(10-12), 650-656.
You can also follow one of my articles is accepted for publication online buying behavior of clothing products for online retailing. It will be published very soon. You can knock then at hossainafjal@gmail.com
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I am looking for examples of interesting SMART solutions in rural areas - for instance, vending machines, direct sales, self-service shops, etc. Please send me examples - along with short descriptions and pictures - of any interesting SMART solutions you may have come across.
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I have seen milk-o-mats and egg-o-mats in villages in Istria, Croatia, as specialized vending mashines
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Hi All, I’m requested to provide an online sales forecast for an ecommerce. I have data only from Sep 2019 - Oct 2020, with seasonal sales increase in Dec, May, and Jul. I have to forecast the sales value in Nov, Dec 2020 and Jan 2021. Which method is the best for this? And should I consider the effect of COVID into the equation?
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Use a basic statistical textbook to generate your model in a spreadsheet and add the number of COVID cases or deaths from your nearest government spurce, as a trend another x on the y axis,
I talk about time series a bit in ch 5 of,
Strang, K.D. (2015). Selecting research techniques for a method and strategy. In KD. Strang (Ed.), Palgrave handbook of research design in business and management (pp. 63-80). ISBN: 978-1137379924. NY: Palgrave Macmillan
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Hi,
I'm looking for insights on whether to forecast online sales with or without the returned stock. And what factors we shall consider.
Could you point me in the right direction? Thank you for any help you can offer.
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Hello everyone,
I am looking to model an inventory-production process as a G/G/1 queue. The problem statement is as follows:
Customer demand for any particular part is fulfilled from the inventory system. Each unit of customer demand triggers one unit for replenishment through a production process. These replenishment units are grouped together and once an optimum size of the group/batch is reached, a production order is instituted and the batch is manufactured and stored in the inventory system.
When the production order is instituted, there are already a few other orders in the factor-floor due to which the batch under consideration cannot be fulfilled immediately, but needs to wait for its turn.There is no underlying pattern in production order fulfilment, rather it happens according to an arbitrary distribution pattern with a lot of ad-hoc decision making.
I am trying to arrive at a reliable estimation of the inventory in the system, taking into account the batch size per order and the probability distribution function.
Back-orders are not important for this problem and we are not taking into account lost sales.
This means,
I need to estimate E(Inventory), which, from my understanding is coded as given in the picture attached.
I am not sure of the probability model I should adopt, as there is no underlying probability distribution on the data-set I am working on. I am also not able to find a reliable estimate of the probability for the inventory replenishment system, while there have been estimates for stochastic modeling of production systems, on the basis of the G/G/1 model, taking into account the shop-floor utilization rate ( From the book stochastic modeling of manufacturing systems- a very detailed seminal text : Buzacott, J.A. and J.G. Shanthikumar. (1993). Stochastic Models of Manufacturing Systems. Prentice-Hall )
Any leads in this regard would be useful.
Looking forward to hearing from you all !
Thanks in advance,
Akhil Ramesh
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Please see section 9.4 on Batching Laws of Hopp and Spearman Factory Physics book
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Hydrogen plant has a turndown ratio of 40% and after reaching this stage, extra H2 is being produced than the required. So it is being vented.
Is there any way to stop this venting and use it as a fuel somewhere like boilers by mixing it with current fuel-natural gas?
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Yes you can use H2 as fuel but there may be some problems related to the low volumetric heating value of H2 (valves wide open to produce required heat).
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I found this policy recommendation, ''In order to avoid slum expansion, the urban land laws have to be revised and the land ownership right has to be partially transferred to individuals. Currently, illegal selling of land is rampant as the landholders afraid the government will take the land anytime, against their will. This has created illegal land grabbing, slum expansion, pollution, and loss of agricultural capacity. Therefore, legalizing land sales, controlling the process, and preparation proper land-use plans will eliminate the problem from the root. The government will also collect tax from the sale. It will also support the landholder to use their land as collateral for a construction loan for the building project. However, as land is the main source of income for the government, transferring fully might affect the financial and decision-making capacity of the government. Therefore, I recommend partially transferring the land resource to individuals. The amount of land to be owned by individuals can be regulated by law so that a fair amount of land can be distributed to citizens''.
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The reason that the quality of slums is so abysmal is that many slums are created by squatters. They have no property rights, so they cannot have confidence that their slums will be protected. They need property rights, either Torrens or title insurance.
The reason that some owners cannot able to service their (mortgage) loans is that the price is not sufficiently low for those people to be owners. So why can't they acquire lower quality or smaller sized homes? The answer is that these homes are not allowed by building or housing codes. So when these lesser homes come into existence, they are outside the realm of government approved housing.
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The financial statements for Jean Co. at the year-end of 2020 contained the following information.
Jan.1 Dec.31
Sales Revenue $ 0 $ 132,000
Accounts Receivable(gross amount) 3,000 6,700
Inventories 4,000 5,000
Unearned Revenue 9,000 11,000
Assuming that Jean Co. did not write off any Accounts Receivable. Please compute the amount of cash received from customers.
(I am sorry the messy format. There is a picture can look. Thanks)
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Hi,
I am making a few assumptions here, in absence of additional information:
a. Your Unearned Revenues are not in your Sales and they are not cash, just provisions.
b. Your COGS and OPEX are unknown...thus the entire cost structure is unknown. Assuming zero, which is probably wrong.
c. Investments are unknown. Assuming zero, also probably wrong.
d. The fact you have zero sales accounted for in Jan 1 but you have Receivables makes me assume those are spill-over from the previous fiscal year.
Gross cash from sales: $132'000 - difference in inventory - difference in receivables = $ 127'300.
Actually, you should have a situation which compares identical periods: Dec 31, 2019 vs Dec 31, 2020 for example. This case you are showing is very hypothetical and doesn't reflect a real situation, too much data is missing.
Regards,
Pierre
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I am currently working on a company's data set in my school work. I have the monthly revenues for each of the offers and I have to answer the question : Does offer A negatively impact the sales of other Offers? I do not have much more data than this and was wondering if it was possible at all to do such a test ? Any clues ? I would be very grateful thank you !
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Just google by typing (measuring cannibalization pdf), you will find many articles discussing the different ways for measuring/testing cannibalization.
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Looking for research on Brand Activations using Experiential Technology. Specific to FMCG industry in India and the use cases at retail Point of Sales.
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Thank you so much
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Dear Colleagues
I'm finishing an article about how the visual communication of social presence affects sales in affiliate marketing: (1) case study research, (2) in cooperation with a practitioner/affiliate/publisher, (3) explained variable = real ales value 30 days after publishing the post, (4) explaining variables = different elements that communicate the social presence in posts published in the affiliate marketer's website. I have already completed the literature review to develop research question, and the co-author/practitioner selected six cases but can't find any material for anecdotal evidence that supports the research question.
I have seen a few stories (A / B tests) about how social presence affects click-throughs rates, but I haven't seen any story about how social presence in posts affects the real value of sales
Could you recommend any success stories or quotations of practitioners about how visual communication of social presence affects real online sales value to use as anecdotal evidence in the article?
Could you share your experiences in writing scientific articles with practitioners? Have you used case study research (according to suggestions of K. Eisenhart, R. Yin?) Have you published such articles?
Regards
Richard Kleczek
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Here is the paper about how the visual communication of social presence affects sales in affiliate marketing, co-written an affiliate marketer.
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Dear all,
My research group is currently working with a 12-litre fermenter. Somehow, if we do the fermentation for more than 20 hours, the process will be more prone to contamination. Our current suspect is the air vent filter. As we live in a tropical country, the humidity is quite high (40-50% with the HVAC system). The current material of the air vent filter is PTFE. Have you ever experiencing this problem before? Thank you!
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Hello, you can chech your vent air by passing trough liquid media in falsck for 1-2 hour and then see any grow after incubation of flask about 48hour.
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Kind colleague, teacher or researcher in the sales field, this questionnaire is aimed at collecting data on the current state of sales education in European universities. The universities partners of the SPLASH Erasmus+ (8 partners from 4 nations) project are trying to research and to contribute to the current state of sales education in Europe.
Over the years, the need for companies to hire job-ready young graduates able to face challenges of the modern market has clearly emerged. In the face of this, however, in many European countries universities offer relatively few courses and programs concerning sales, and so far there are few international studies on this subject. In fact, no overall study traces an overview of the sales education in the EU context through secondary and primary data. Thus, following similar studies undergone globally and in North America, this survey aims to ask EU scholars, researchers and professors to provide information and own perceptions on sales education subjects and methodologies, to comprehend the overall state of sales education in partner countries and in the EU context.
Therefore, we kindly ask you to help the scholars of the partner universities in the SPLASH Erasmus+ project to understand the current state of sales education, to fill this gap and help us implement concrete actions that can improve the offer of sales education in Europe. The information you share is strictly anonymous and will be collected and processed for research and educational purposes only.
The information collected will be processed and stored in compliance with the GDPR (EU) 2016/679 legislation, according to the privacy policy > https://www.univpm.it/Entra/Legal_Notices. At any time you can contact the data holder by email asking to modify or delete the information released: splash@sm.univpm.it By answering the questionnaire you will give explicit consent to the use of data for research and education purposes only.
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As a business owner of a design-build engineering and construction company hiring graduate-level engineers from around the world, I feel very qualified to answer this and many other questions from the University world regarding what they are sending to us to hire, and how really equipped they are to immediately add to a growing and producing company.
Answer: about 6 out of 10. Regarding sales, about 2 out of 10. As a veteran of this industry for 34 years of full-time work, and 43 years total starting in 1972 as a young boy working for my father, I can tell you most university professors haven't a clue about sales.... That may seem like an arrogant or diminishing statement, but it's unfortunately true.
In reality, unless you have worked in the industry, and actually had to make sales for the survival of yourself and your company, I doubt many can really know how to make a sale, let alone teach "sales".
Sales is a factor of trust, integrity, honesty, teamwork and a true intention to help someone with a challenge, problem, or situation. Lastly leadership to follow-up and follow through with the transaction. I find a shortage of this knowledge in all graduates, as it is only taught in-home, and unfortunately increasingly lessened by the media as a bedrock of living. Leaders (professors) must ascribe to these tenents in their daily lives, and habits, especially in their interaction with students. The students will mimic their professor's actions or repulse them if they are contradictory.
To teach sales, teach these tenants:
1. Trust. In order for a sale to transpire, the buyer has to trust the vendor. That means showing up on time, being there for the needs of the client/buyer, being present, and creating an atmosphere of trust that will go past the sale. A huge part of trust is learning to truly listen to what the client/buyer is saying, empathically. This is hardly taught, but absolutely vital to success in a transaction. Teach your students to be great listeners.
2. Integrity. This is critical and must be taught better at higher learning institutions. What is integrity? Being a man/woman of your word - simple. Say what you are going to do, and do what you say you will do.
3. Honesty. Don't lie, cheat, steal or "bend" the truth. If you don't know, say so. Trying to answer something you don't know only makes you look foolish. Teach your students to say "I don't know the answer to that, but I'll get it for you".
4. Teamwork. This may seem out of place, but it is front and center to sales. The team is what gets the sale transacted. Most projects are a component of many people (marketing/sales, engineering, operations, fieldwork, administration, and close-out). Developing a team atmosphere to help each other do well is key to success in a sales transaction. Spend the time to develop trust and confidence in your teams - starting with the leader. In the university, this is rarely taught, and most often taught in sports, or extracurricular activities, which are being eliminated at higher learning (this is a big mistake). Each support team/group/etc. has to work together exceptionally well to support a successful project.
5. True Intention to Help. This is the "icing on the cake" of sales. If your team really values their part in the process, and have a desire to help others, then your team will be best set to really help the client.
6. Leadership. This is being taught more and more at higher learning and is critical for success at all levels of a sales transaction. Leadership is simply "influence", and is best taught by example - that is the best teacher; your example of all of the above items. Lead your students by your example, and teach them to set the example. I see a huge disparity in leadership by "position" where a leader has a PhD., or higher education, and is put in position to lead others, but has no real leadership experience or ability. Leadership is NOT education, it is "Doing" the right things over and over, following the above 5 tenants for successful sales. It is making others on your team look good without trying to make yourself look good. The way it works in the business world, is by helping others around you to succeed, and in doing so, you and your whole team succeed.
This is a bit of a long answer to your question, but I feel compelled to give you my approach to sales, as I started my company in my 8-year-old son's bedroom in 2002, and have grown this company to a multi-million dollar enterprise with over 40 employees from absolutely nothing - one sale at a time.
A few good books to read to help your students along the way: As a Man Thinketh, James Allen. How to Win Friends and Influence People, Dale Carnegie. The 360 Degree Leader, John Maxwell. The Compound Effect, Darren Hardy. Am I Making Myself Clear, Terry Felber Developing The Leader Within, John Maxwell. The Seven Habits of Highly Successful People, Stephen Covey. I recommend you teach fundamental truths and have your students learn from them. Lastly, teach your students that learning is life-long, and doesn't stop when they finish their degree.
Good luck in your research, and let me know if I can be of further assistance.
Sincerely,
Mark Garrison, President
MG Constructors & Engineers, Inc.
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Greetings! I am a Master's Student at IBA Karachi. This survey is purely for research purpose and its objective is to gather information about performance variables and constraints that emerge with it. Your responses will be treated with utmost confidentiality. Thank you in advance for your time and cooperation.
Please fill the form below for ''Manufacturing planning & Performance Alignment''.
I would be grateful!
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Thank you so much
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I would like to share a GC troubleshooting journey with you all in case it may help some other non-expert GC-MS users or maybe some well-experienced scientists as well. Because I have failed hard with this like an amateur :).
Among other unwanted ions, ion 73m/z (accompanied with ions 147, 207, 221 and so) which corresponds to the one and only Dimethylpolysiloxane, one of the most popular ones since -as you well know- it is the main component of most septums and methyl silica columns. When I first encountered bleeding signals (belongs to 73, our protagonist) in my chromatograms I knew what it was, because I had worked with the column quite a long time and it is expected from them to be degraded by time. On the other hand, I had always been careful with the conditions, and that had to be helped with the life-cycle of the column. Nevertheless, as expected, I changed the column and let it be conditioned over the night. When I continued to work with the instrument the other day, yes, the same peaks with the same ions occurred in my chromatogram once again.
If you are not familiar with the issue entirely let me clarify it; this re-occurring is quite overwhelming because you might have just ruined your brand new column too because bleeding signals may also occur with the help of a leakage. Oxygen and humidity coming from the atmosphere and/or from a low-quality carrier gas can also break the integrity of the stationary phase of your capillary column. So I checked all the possible leaking points with the help of a hand-held device but I couldn’t find any. The problem is with these type of high-end instruments, they consist of hundreds of pieces and there are so much to consider. Most of the time the end-user doesn’t bother at all and gives a call to the instrument’s support unit. Well, obviously, this doesn’t apply to me.
Then, the septums I have were actually quite old and it was possible that they started to decay. I replaced them with the new ones and started the instrument all over again. Still the same problem, our hero; Dimethylpolysiloxane. The liner was new and was replaced not long time ago. I cleaned it anyway and I pump the MS again and; Dimethylpolysiloxane. You can understand that almost every single time I had to vent and re-pump the instrument and it is a very time-consuming process, therefore, exhausting both physically and mentally. Though there were tiny little pieces of the septum in the glass wool of the liner which can be considered as a usual phenomenon because the needle can pluck some pieces from the septum of your vial and/or injection port if it is old and lost its sharpness. In this case glass wool steps in and detain these type of impurities to protect the column.
Then I thought; what if something wrong with that detaining mechanism? So I replaced the liner since it is hard to re-load the wool and, for me, was unnecessary. So I pump down the instrument again and once again; 73 and the other musketeers (Dimethylpolysiloxane).
Everything, almost everything was replaced and checked repeatedly, even the Helium was replaced with ultra-pure one, but the problem was still there. There was no other spare column so I was stuck with the contaminated/bleeding ones. Then an idea came to my mind and I vent the MS and remove the column and started to investigate the inlet part with a magnifier. Yes, there were tiny little rascals, lying inside of the column. They were septum pieces and they came to this far passing through the wool filter, vaporizing after 200 C in the oven and causing annoying repetitive signals. I simply bought a new column since even removing these particles can not be enough to get rid of ghost ions.
Regards.
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GC-MS contamination Troubleshooting:
It is always a good idea to have a spare (brand new) column on hand. Consider it to be a troubleshooting tool as well as a spare. Contamination issues are frequently sourced to columns (after all, in many cases they are the most restrictive part of the flow path). Relative to your time, materials and operation costs ($$$), columns are inexpensive consumable items. Time and materials are worth far more than the column. Cutting away a bad section (if advisable) or replacement of the suspect column may be the fastest solution to get back up and running again.
Maintaining a spare column for all common applications is something that we used to teach professionally in our GC-MS classes (no longer offered), but is always worth reminding others, as you have learned and done, too.
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I would like to find some data about domestic and international sales regarding football clubs, in particular Real Madrid C.F.
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The huge audience demands high levels of corporate governance from football clubs, a reality that is not always met.
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What to know everything related to office chair but more about the pollution it created while making one, thanks.
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Exactly I support the @S J Malik answer.
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In the times after the commencement of the pandemic,, I have experienced push sales in all types of markets. Distribution system of products have been disturbed. Inflation rate is higher. Footfalls of customers have been reduced. What are your experiences? Scientists and researchers from around the world are being requested to take part in this discussion.
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Dear Dr Anamitra Roy, I completely agree with your argument. You have mentioned about distribution and sales - not pointed out the production (the first stage). Though you are right in excluding the production aspect, as the scope of your question-initiated discussion is about market place - I wish relate these two. Kindly permit.
1. Production units - either completely closed or operated at the minimum of their capacity.
2. Many such production units paid only half of the monthly salary (some business units have not paid at all)
3. This has resulted in the reduction of discretionary (income) expenditures of employees - purchase of other than basic needs got affected.
4. And, the loss in income for the employees created fear in the mind - they have started saving more for the future (the paradox is now they have less money (after spending for their basic needs) but want to save more.
5. This like a chain effect, loss of income for the business unit - stopped their expansion plans- R& D expenditures cut down.
6. I think .....the economy is (will) taking time to heal.
Warm regards Yoganandan G
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I have a back data trend for snacks product shipment towards end consumer sales out, and I need to define the time lag between releasing the shipment & product sales to the end consumer
The attached excel file includes the data, please help me at this issue using Excel.
Thanks in advane
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Thanks Dr. Hend
Actually, The independent variable is Snacks Shipment and the dependent is Snacks Sales.
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Based on an analysis of the last six months' sales, your boss notices that sales of beef products are declining in your chain's restaurants. As beef sales have declined due to several newspaper stories reporting E. coli contamination discovered at area grocery stores, he suggests a survey of area restaurants to see if the situation is pervasive. What do you think of this research suggestion? How, if at all, could you improve on your boss's formulation of the research problem?
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The director advised the necessity to conduct a comprehensive medical examination in the chain of restaurants to avoid losing more customers, as well as to form a mental image for them that these restaurants enjoy a high degree of safety, transparency and general cleanliness. . and he posted this on social media @ Clara Theu
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Hello, i have a topic that i'm really lost:
Influence of a company's (sales) growth RATE on the investment RATIO (in assets) and the profit in the FINANCIAL STATEMENTS - an empirical analysis of annual financial statements (Bachelor) or a model analysis.
I have read many researches which used regression analysis to describe the relationship between sales growth and profit, or assets growth and profit. But my research question is, how many x% should we invest in assets, when we want to have y % in sales growth, and how does the results of y% sales growth present in profit that we can see in the financial statements. Could you guys please recommend me some papers or researches which related to my question and which keywords should i use to find them.
Is model analysis a research method? Can i apply it to solve my question?
Thank you for your help!!!
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There are many foreign sources on the sites or reports
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I have a sales forecasting problem where I only have three months of year 2018 ( Jan, fev, march) and three months of year 2019 (oct, nov,dec) and I have to forecast the sales for all the months of 2020 (these are the only data the customer had provided to me, I cant have more). I am new with the forecasting problems and what I can conclude from these data that it is time series data but it's so limited and the gap between the two years is about 18 months so handling missing data won't be a solution for this. I have been so stack can anyone help me please. Can you suggest me what to do ?
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You must use the data for the three months of 2018 in forecasting the remaining months of the same year, and the same case for the year 2019, and later you can use the data for the two years to forecast the year 2020
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Hey researchers! I am investigating in the field of context-aware recommender systems (CARS). Based on the title of the question, I am needed to model a (CARS) which is to automate the jobs of call agents to know when to propose and what item to recommend to customers a based on the intent and emotions (mined from dialogues) of the customer.
Do you guys know if there are any standard which have already been set on how non-content specific context (e.g., time, location, call length etc.) and the user profile (e.g., agent background and previous interactions) can be model to predict what and when a user needs the recommendation ? All I found is mostly related to user x item recommendations but not any as far on the relations of intent and emotions x user to suggest recommendations.
Hope the question is clear.
Thank you.
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I am looking for examples of smart solutions when selling agricultural products.
I think about short distribution channels.
Do you know any examples?
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Dear @Slawomir Kalinowski, let me point out few ways and means.
1. Convert the product into another form (to increase its shelf life). Ex: Raw Milk converted into Milk power and, Egg converted into Egg powder.
2. Packaging ( Ex: Cut flowers, Tender coconut,
3. Product innovation ( Ex: Square shaped watermelons are produced in some countries, if my memory is right, Japan- for customer convenience)
4. Distribution 1. Direct selling (through direct outlets usually outside the farm) and 2. Using digital platforms.