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Although all of the retail brands are doing well, they are still unstable. We must strengthen our global business strategy if we are to make this enterprise sustainable. It's time to assess the key elements and make improvements where necessary.
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The most valuable thing for research according to the data provided is to study the tariff and customs barriers that the country itself has and the others that it wants to reach. And the tastes of consumers.
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What are current retail industry use cases of metaverse
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The metaverse is dead. Long live AI
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I am trying to solve the problem in Lingo18 version, but it keeps saying (no of variables 661355):
--------------------------------------------------------------------------------
[Error Code: 221]
Text handle limit exceeded -- expression is too complex.
The error occurred on or near the following line:
53]C4=@sum(dc_q_k_t(dc,q,k,t)|q#GE#qminr(retailers) + dqdcrk(dc,r
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Then, I even tried to reduce the size of the input dataset (variable around 225631), but it again says the same problem.
How to solve this?
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I don't know Lingo, but you could dry breaking the expression into smaller sub-expressions and evaluate them one by one. Sometimes, silly errors result in such errors - have you checked the parentheses? Is "#" character allowed in an expression?
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Dear Wojcieh Salabun and coauthors
I read your paper
How Do the Criteria Affect Sustainable Supplier Evaluation? - A Case Study Using Multi-Criteria Decision Analysis Methods in a Fuzzy Environment
And these are my comments:
1- Unfortunatelly, very scant information on the scenario is given. The paper only informs that it is related to batteries, give the number of suppliers and say that there are 15 criteria, but don’t say which are they, and give the labels of five sectors or clusters. It only informs that refers to batteries suppliers for swapping stations. And what are swapping stations? As you understand, the reader does not have the obligation to know about them.
2- On page 10 you say: “The resulting ranking was considered as a reference point in the study, with the ranking order of the options presented in Table 1”. I understand that there is a mistake here, since it should be `Table 3’.
3. In section 4,1. You say “A sensitivity analysis also provides more comprehensive knowledge and a greater view of the overall problem, showing the decision-makers what might change in the results under changing external conditions”
This is in my opinion, an excellent contribution to sensitivity analysis (SA) definition and properties. Its merit is that in most cases it is the reason by which a DM can reverse the best alternative and select the second one. Unfortunatelly, this is very rarely mentioned in SA analysis, which relies only on the existent criteria.
However. I disagree with your sentence “Therefore, the researchers adopted an approach in which the weight of each criterion was modified at +/- 20% from the initial value”
I disagree, because you can’t assume that all intervening criteria may change +/- 20%. This is not realistic, since each intervening or binding criterion, that is, that conforms a certain alternative, has its own allowed range of variation and even can have none. In addition, it appears that all criteria are binding, which is very seldom the case, and thus, it could be that only six or seven criteria, out of the 15, are relevant.
4- The paper considers excluding criteria to compute the ranking. I think that this procedure may be incorrect. One thing is to consider irrelevant criteria, determined after a solution is reached, and another, not considering them from the beginning, and solving a problem that ignores criteria, which although irrelevant according to entropy, are needed. Entropy, or better, its complement, information from entropy, tell us which are the most important criteria to evaluate alternatives, but they don’t indicate that some of the others can be eliminated because have a high entropy. They contain information, perhaps very little, but information that it is not advisable to ignore.
Strangely enough, you determine that the most important criterion is C2 or Transportation cost, and you decide to eliminate it?
5- I am curious on something. I guess that batteries are for car factories or for retail. You consider transportation distances, that oscillate between 1055 km between Beijing and Wuhan, to 167 km between Beijing and Baoding, and 926 km between Wuhan and Baoding, but in my opinion, this means nothing if you don’t specify the destination of the batteries that can be manufactured in each of the three places. Obviously, if they are to be used in the same city where they are manufactured, the transportation cost is not very important, but it could extremely important if the distance between origin and destination is high.
You say: “𝐶2 (0.750, 0.857, 1.000) (0.167, 0.200, 0.250) (0.500, 0.600, 0.750) (0.750, 0.857, 1.000)”
This illustrates that from transportation you have three values for each option. But what do they mean?
Of course, it is understood that they indicate in TFN the smallest likable value, the largest possible value and the most probable. But of what? In the case of transportation cost what the refer to? Cost of unit/km?, and in case of distance? As far as I know distances are fixed, unless there are several routes between two places. If they are, why do you need to use TFN?
If there is a manufacturing site, it can be understood in the sense that there a minimum cost of transportation for say train, an upper for say truck, and middle say considering another route, but 0.075 may be a percentage of what? The values between options are quite similar, suggesting that distance is not an issue, what is it then?
6- You assume that only 8 criteria are to be considered, out of 15, i.e., those are the criteria that participate in the selection of the ranking, which for me is a very correct, and unfortunately very seldom done in papers published, where it is assumed that all criteria participate. Now, how did you select the 8 criteria? On what basis?
However, in my opinion, the quantity of criteria that are relevant, in your case, 8, can’t be considered that apply to all alternatives. My research in many cases, constantly shows that the number and the type of criteria is particular for each alternative, and thus, it does not apply to them all in the same set of criteria, although, in general, there are always some criteria that repeat in each alternative, naturally, on the same problem. That is, for A1 they may be C9, C2 and C7. For A2, C2, C5, C7 C10, C15 and C4. For A3, there could be C7, C9, C1, etc., therefore, I don’t think that you van speak of the same set of criteria for all alternatives.
You say “The other criteria did not affect the ranking order of the options”
I agree, provided that in SA you refer to evaluating ONE alternative of the ranking, not all of them jointly.
7- In reality you don’t need to use fuzzy. If you use triangular numbers, which of course is correct, you can use for each type of criterion, two criteria, one for minimizing the lower value (no less than), and another for maximizing the upper value (no more than). In this way, the final value will be computed by the software, and most important, considering their interaction with all other criteria that are using the same resource, for instance money. As un example, if you have a minimum and maximum value for storage, the software will find the INTERMEDIATE value that also satisfies another criterion, for instance, funds to fabricate a product according to demand. Naturally, I am referring to Mathematical Programming.
I hope that these comments are considered useful.
Best regards.
Nolberto Munier
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Culling a battery supplier is a vital decision-making quandary, for which it is essential to obtain stable evaluations. For such sustainable supplier evaluation, multi-criteria decision analysis (MCDA) methods are often utilized, as their faculty to handle sceptical data gives experts more paramount opportunities to consider a broader range of cases. However, given the great number of MCDA approaches, it is arduous to ascertain which approach is the most congruous. Consequently, this paper presents a sensitivity analysis on evaluating battery suppliers by ARAS, EDAS, MAIRCA, TOPSIS, and VIKOR methods in a fuzzy environment. The provided study presented homogeneous results for the considered MCDA methods attested by the WS homogeneous attribute measure of rankings and the weighted Spearman correlation. On the other hand, the sensitivity analysis conducted on the considered methods denoted that the most pertinent criteria for this quandary are conveyance cost, distribution time, and warranty period. https://dailyplanet.club/ we've got the technology join the club.
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I want to optimize the best pricing strategy for products of a retailer using Value-Based Pricing.
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Optimizing pricing strategy using genetic algorithms can be a complex task, but here are some steps that a start-up company can follow:
  1. Define the problem: The first step is to define the problem you want to solve. This might include identifying your target market, analyzing your competitors' pricing strategies, and determining your desired profit margin.
  2. Determine the variables: Next, you need to identify the variables that will be used in the genetic algorithm. These might include the price of your product or service, the level of demand, and the cost of production.
  3. Create the fitness function: The fitness function is used to evaluate the quality of each candidate solution generated by the genetic algorithm. In the context of pricing strategy, the fitness function might be based on metrics like revenue, profit margin, or market share.
  4. Generate initial population: The genetic algorithm will begin with a population of candidate solutions. These can be generated randomly, or you can use your insights to create a starting population.
  5. Evolve the population: The genetic algorithm will use selection, crossover, and mutation to evolve the population of candidate solutions over multiple generations. At each step, the fitness function will be used to evaluate the quality of the candidate solutions, and the algorithm will select the best ones to continue to the next generation.
  6. Analyze the results: Once the genetic algorithm has been completed, you can analyze the results to determine the optimal pricing strategy for your start-up company. This might involve testing the best candidate solutions in the real world to determine which pricing strategy generates the best outcomes.
It's important to note that genetic algorithms are just one tool that can be used to optimize the pricing strategy for a start-up company. Other approaches, such as customer surveys or competitor analysis, may also be useful in developing a comprehensive pricing strategy. Additionally, it's important to carefully consider the ethical implications of using algorithms in decision-making, particularly around issues of fairness and transparency.
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please can you pin point the major key aspects of data science and product development in this regards?
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@vinitkumar Modi, nice with the ERP software retailers can be able to optimize their stock, effectively guide against stock outs and keep their cash flow in check. But have you any modalities in this ERP System that needs modification or upgrades for better productivity?
@paul it's actually a good summary from chat GPT, what's your view about its policy making decisions and how this inventory system enhance policy making
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Hi all,
Looking for centrifuge tube-labeling solutions a step or more above straight up sharpie-ing them by hand - that don't break the bank. We're going to need tens of thousands of labeled tubes at the front end of our project.
I've looked into sticker labels, but it is similarly time-consuming and labor-intensive to apply these to the tubes by hand -- and very demoralizing when they peel off!
I've looked into automated solutions like TubeWriter 360, which seems perfect, but is extremely expensive. Another potential solution I have found is a mechanical (but faster and less strenuous) tube labeller called ZapLabeler, which retails for $500. Older TubeWriter models are also available for much less than the 360 model, if anyone has experience with those and if it helped significantly.
To anyone who can sympathize: has your lab come up with any creative solutions to reduce time and labor in the labeling process? If not hand-labeling with sharpie, what does your lab use to apply labels to sample storage tubes?
Thanks in advance, VERY much appreciate any advice!
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Probably fancier and more expensive than your budget.
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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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Extension agencies are advocating a farmer to produce and sell his farm produce at his own level. Is it possible? Or some one else should purchase from him and sell.
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Depending on the volume and value. Some Grape and Mango farmers have developed their own brands and doing direct to consumer sales.
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I am involved in an EU project and have been asked to identify and interview good practices of small and medium-sized companies in the retail industry, ideally also in smaller towns, that were particularly well-positioned in terms of digitalization before and/or during the pandemic. I would like to find out what contributed to this success and what were the stumbling blocks along the way. The European Commission would like to gain insights from this on how to better support SMEs in the area of digitalization.
So I'm now looking for SMEs from the retail sector across Europe that would be interesting examples. I am very interested in examples in other European countries than Germany and would be happy if you maybe have a tip or further contact for me!
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Traditional vehicles of marketing are becoming less and less effective to communicate effectively with a company's target market. Innovative methods of marketing and communication need to be considered and implemented.
Do you think gamification is the way to go? And why? What industry do you think would benefit most from a gamification-based marketing strategy?
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Dear,
By using gamification in marketing, you are basically telling your customers that your brand can be fun, different and creative while maintaining all its quality characteristics. Recently, marketers use more gamification techniques.
Gamification in business (5 important advantages):
1. Increasing audience interaction with the brand through gamification
2. Collect data and information from the customer
3. Targeting Generation Z (new generation)
4. Maintaining the relationship with the consumer and creating loyalty
5. Increase brand awareness
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Hi,
I am planning research in the area of Lean Manufacturing and platform-based fashion retailers for my MSc thesis. I want to discover the effects of LM in online fashion retail;
What are the common questions to ask in this situation?
What kind of data can be collected for this research?
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Definitely an interesting topic.
Similar to the answer above are you looking at Lean Manufacturing in terms of the manufacturing organisations supplying the online fashion retailers or are you looking at Lean in terms of waste and the reduction of waste in the online fashion retail sector and how are they utilising lean principles?
I think its a really interesting topic with lots of things to investigate. Just off the top of my head:
Do the retailers use a JIT process i.e. only buying what they need when ordered online or do they buy in bulk and store it in warehouse's. If you could work JIT and supply direct from the supplier to the customer you say transport and holding costs. I would imagine they buy in bulk and store, base the inventory levels on previous customer engagement for products then order more if required. But they may all have different methods.
Would be interesting to understand what do they do with obsolete clothing? Can they re-sell?, re-cycle, this is important in this day and age.
What's their strategy with returns i.e. there's a lot of waste in that in my opinion. In a retail outlet you can try items on and if they fit you buy them. If you don't like the fit you leave them. But with online purchases I watched a programme that said there is a big problem with returns when it comes to fast fashion items. Think of all the additional logistics costs and complicated processes.
Within the operations do they utilise any lean processes. Do they have a Kaizen process to formally document and implement improvements. Do they have a formal problem solving process to track and resolve issues. Do they have standard documented processes, who are they audited by? What are their sustainability strategies, etc.
Hope this helps and doesn't muddy the water further.
Best Regards
Martin
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A population of agents start at different distributors, move to retailers and at the end each agent must return to the distributor he started from. So I simulate this situation with a statechart with state: AtDistributor, MovingToRetailer and MovingTo Distributor.
To save the distributor in Entry Action of State AtDistributor I write:
ritorno.distributor.take();
but there is an error: Description: The method take() is undefined for the type Distributor. Location: Supply Chain GIS/Vehicle/AtDistributor - State
how can I memorize the distributor and then use it in the transition to move the agent?
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You are welcome, you must save the point or the agent once it's chosen randomly.
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This 2022 article provides extensive details of the steps involved in a robust scale (measurement) study -
Syed Mahmudur Rahman, Jamie Carlson, Siegfried P. Gudergan, Martin Wetzels, Dhruv Grewal. (2022). Perceived Omnichannel Customer Experience (OCX): Concept, measurement, and impact. Journal of Retailing.
Open access; freely available at https://doi.org/10.1016/j.jretai.2022.03.003
See Table 1 for an overview of the steps.
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Indeed a well articulated process. Lucky to find this!
~Best
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I’m doing a research right now and I’m trying ti find how and to what extent corruption impacts the interest of retail investors in a particular country. After a brief lit review, I tought to correlate and do a regression between the corruption perceptions index and equity shares ownership by households in a given country. Now, I think that If I pop in other control variables it will dilute the significance of this one and I won’t be able to distinguish how high of significance is just corruption. Should I be adding things such as GDP, interest rates, inflation or some other even?
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One important reason for including control variables is to "eliminate threats to validity." In particular, you want to show that your key independent variables have effects that are "above and beyond" the effects of other relevant variables. If you don't do this, then you are open to counter-arguments that effects you present were "really due to..."
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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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The impact of informal retailers on the financial performance of formal retailers.
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Dear Collet Dzapasi equity ratio, current ratio, quick ratio, inventory turnover, total asset turnover, long-term debts to totalequityratio, operational profit to sale, profit ratio, current assets ratio
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The idea is for people who are overwhelmed by the huge amount of products when they come into a store/ supermarket and do not know where to find the products they want. Usually, they will have to find a staff member to ask for directions. Therefore, I'm finding a solution which can help them view their locations on their own phones and search for the place of/ direction to their expected products. The data collected from this activity (such as what products they purchase most, how often they go shopping etc) can then be used by machine learning to figure out the shopping behaviour of customers so as to improve their shopping experience and provide retailers with better business strategy.
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La negociación vía online, necesariamente las micro, pequeñas y medianas empresas, tienen que hacer análisis de la situación los negocios en las nubes, y asesorarse con los analistas de sistemas para que direccionen con algoritmos apropiados y solucionen el problema de búsqueda de productos por parte de los clientes, lo más sencillos posibles , fáciles de ingreso,...,
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Dear all,
I have been reading the article: Garaus, M., & Treiblmaier, H. (2021). The influence of blockchain-based food traceability on retailer choice: The mediating role of trust. Food Control, 129, 108082. https://doi.org/10.1016/j.foodcont.2021.108082
In the experimental condition, retailer A traces food through a blockchain and B through a centralized system and the control condition switches the traceability systems for A and B respectively. The dependent variable is "choosing retailer A" (either dichotomous or on a scale from -3 (retailer B) to +3 (retailer A). I believe, to infer a more pure treatment effect, the authors add "prior knowledge of the blockchain" as a covariate. To my understanding, ANCOVA requires similar effects (= equal slopes) of the covariant on the dependent variable. However, to my belief the slopes of prior knowledge on choosing retailer A is the opposite in both conditions. Assuming prior knowledge improves individuals preferences towards a retailer that uses blockchain technology. In the experimental condition I would expect increasing levels of prior knowledge to be accompanied by higher levels of choosing retailer A. However, in the control, where company B is the blockchain tracing company, I would thus expect with higher levels of knowlegde the preference for retailer A decreases. Can somebody explain to me why it is still correct to use ANCOVA, am I missing something?
Thank you in advance!!
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Generally, To eliminate the impacts of factors that change the relationship of the categorical independents to the interval dependent in observational designs. To fit regressions with both categorical and interval independents in regression models.
ANOVA is a statistical method for comparing and contrasting the means of two or more populations. ANCOVA is a statistical method for comparing one variable in two or more populations while controlling for other factors.
An analysis of covariance (ANCOVA) is most helpful when the covariate is directly connected to the dependent variables but not to the factors. Analysis of covariance (ANCOVA) is similar to ANOVA in that it makes comparable assumptions.
With ANCOVA, you may exclude variables from the list of probable causes for variance in the dependent variable. ANCOVA does this by using statistical techniques (such as regression) to isolate the effects of covariates rather than employing direct experimental procedures to control extraneous factors.
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I consider that this figure can shed light on why there are many unprofessionally managed and failed e-commerce stores today. Especially over time, as barriers to entry have been lowered by content management systems like Shopify.
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I have a Shopify business, the main reason that many stores owners fail is because they follow biased advises from youtubers
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When should household panel data be weighted to increase the representativeness of the data? Does this depend on the number of reporting households?
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The weighted mean used in meta-analysis. It gives higher weight to accurate study and low weight to study less accurate.
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(1) Do covid changes consumers attitudes and purchase behaviour?
(2) Or will consumer attitudes and purchase behaviour be the same again after the pandemic?
(3) Does covid affect the attitude-begaviour gap (e.g. for organic products)?
(4) Is there already literature on these questions?
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Dear Mr. Brüggemann!
I really think the answer is case - and context dependent issue to address:
1) Ulpiano J. Vázquez-Martínez et al. 2021. The impact of the COVID-19 crisis on consumer purchasing motivation and behavior, European Research on Management and Business Economics, Volume 27, Issue 3, September–December 2021, Free access:
2) A case-study: Aybegüm Güngördü Belbağ 2021. Impacts of Covid-19 pandemic on consumer behavior in Turkey: A qualitative study, The Journal of Consumer Affairs, Early View, 4 November 2021, Free access:
Yours sincerely, Bulcsu Szekely
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There are many publications about the proliferation of private labels over the last years (for example, measured by market shares). But is this proliferation going on and on? Or has a new balance emerged? And if so, how can retailers and industry influence this competition? Or does the proliferation take place 'covertly'? For example, via high-quality or sustainable private labels.
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A vet good analytical question. Through my analysis of current research, this still differs from country to country. However, the attached article provides greater insights and future research directions for private labels. Lastly, as grocery retailers invest in innovation, there is room for an even more upward trajectory.
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The data is needed for a research the cafe industry pre and post covid in India
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Dear Arsalan,
did you try already this source:
Many universities and companies have a license and it its probably the worlds most compelte database for this kind of question.
All the best
Jan-Philipp
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Do you see the pandemic accelerating technology orientation within industries such as retailing? For instance in retailing do you see online shopping being the primary channel of shopping and the physical store being the second choice due to this pandemic or will that happen because online shopping is truly giving a better experience than physical shopping? Please have your say.
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Technology Orientation in Retailing has been introduced in the business world and it was on continuous growth. but sudden spread of Covid -19 pandemic has forced business organization to introduce contactless delivery mechanism in the product delivery and this has offered opportunity for accelerated technology application in retaining.
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The on-line share of all grocery retail in the UK had been bumping along at around 6% for the last four years, then almost doubled, to just under 12%, at the start of lockdown, and has since fallen back to around 10%. During a recent lecture to MSc students the course participants were divided on the future potential of on-line grocery retail and whether the growth seen during the pandemic is sustainable. Some students thought that, having tried on-line shopping for the first-time during lockdown, they would probably continue using it for bulky and long shelf-life items, but also use local stores for fresh produce (probably the worst possible outcome for the grocery retailers as they would be left with delivering the high logistics cost and low margin products). Other students thought that they would go back to in-store shopping and that the current 10% market share would probably fall back to around 7 or 8%. Most of the analysis I have seen shows that UK grocery retail home delivery charges (anything from £1 to £7 dependent on day, time slot etc) do not begin to cover the costs. This suggests that at some point the grocery retailers will have to start passing on the real costs and/or collaborate to improve efficiencies (shared hubs and last mile delivery fleets?). Interested in any views / research on the topic.
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A low-margin, volume-intensive business selling perishable products that require quick delivery in special temperature-controlled vehicles makes for complex and expensive operations. But Instacart, for one, has reportedly made headway by emphasizing (a) flexibility (i.e., a mix of independent contractors and full-time employees, picking orders directly from stores); (b) shared platform costs (i.e., passing on the cost of development and maintenance for its website to those who use it, which channels more resources into improving the platform than would normally be be feasible); (c) portability (i.e., minimizing fixed infrastructure makes it easier to expand in new markets); and (d) volume (i.e., brand-neutrality helps attract clients from across the grocery world).
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Can you please provide a list of different product categories available at a Grocery retail store (traditional or modern retail)?
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Kindly see also the following link: https://www.marketing91.com/10-types-of-retail-stores/
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Power and gas retailers, are exposed to a variety of risks when selling to domestic customers. Many of these risks arise from the fact that customers are offered a fixed price, while the retailer must purchase the gas and power to supply their customers from the wholesale markets. The risk associated with offering fixed price contracts is exacerbated by correlations between demand and market prices. For example, during a cold spell gas demand increases and wholesale prices tend to rise, whilst during milder weather demand falls and wholesale prices reduce.
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Examples of uncertainty-based risks include:
  • damage by fire, flood or other natural disasters.
  • unexpected financial loss due to an economic downturn, or bankruptcy of other businesses that owe you money.
  • loss of important suppliers or customers.
  • decrease in market share because new competitors or products enter the market.
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I have purchase data from supermarkets that include a variable for weighting. This weighting is supposed to represent how representative a household is.
I want to separate my data into two very unequal groups and aggregate the values into months. Can or should I use the weighting here?
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I find it a little difficult to answer this as you have not spelled out your aims.
I would keep the detailed data (presumably repeated measures over occasions on households?) and then include a set of dummies to identify the month and a dummy to identify the two groups (using between and within random effects for households and occasions). An interaction between the dummies would then allow an assessment of in which months the dummied group has a different mean. In this form I would then do a weighted and unweighted analysis as a sensitivity test to see what is the scale of the difference. Of course the weighted and unweighted analyses represent a different target of inference. By using random effects you could also include such variables as type of household if this was of interest. Using a mixed model, you could include an underlying 'smooth' (such as a spline) to capture the underlying time trend in the purchasing behaviour.
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Does anyone have experience and maybe recommendations on conferences on retail, private labels and national brands? Maybe also looking at future development and online topics?
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Which method can be used to analyze daily panel data in combination with annual survey data (on income, attitudes towards organic products and so on)? The method should also be able to measure changes over time (e.g., in attitudes toward organic products and actual purchases of organic products).
Possible research question: How do consumer attitudes (annual measrured by asking the consumers once a year) and actual purchasing behavior (daily measured) change over a long period of time?
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Dear Phillipp,
I will recommend ARMA and VERMA @Guy Melard since he has worked in that area.
Then you will need a focasting model to answer the questions for the future.
Regards
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Due to digitalization and globalization there is an increase in online retailing.
But what does that mean for brick and mortar stores? Will there still be offline stores in about ten years? For instance, to purchase our daily groceries?
Researchers agree that offline stores should focus on shopping experience in order to crease an added value in comparison to online settings. Is that key to survive? However, will only big players be able to survive in long term by starting their own online stores? Is an overarching and neutral platform-based solution for future retail maybe a further direction, especcially for small retailers?
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I am focusing a research about the role of luxury as whole, -not only of luxury brands or operators- in recent urban trasformations. Did someone face off the same problem? What about processes of city branding and urban marketing? and the effect on the city/territory? 
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Los lujos decrecen y los precios aumentan. Es la tendencia internacional por la situación económica internacional que fue notablemente afectada por la Covid 19
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The Supply chain council's SCOR model is a very famous and widely used model in many scientific publications for assessing supply chain performance. The model is as simple as it is effective and consists of five main processes: source, plan, make, deliver and return.
This model is certainly very intuitive and effective when analysing a manufacturing industry supply chain, but it starts to falter when considering other sectors.
In particular, if you want to use this model to analyse a retailer's supply chain, how can you translate the "make" process? Although the SCOR model is also used in many articles to study retailer supply chains, I have not been able to find any references that help me understand how to translate the "make" process in contexts other than manufacturing. Has anyone had similar experiences in the past?
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Sir,
This is a general question encountered during research work. You all are requested to provide your views/comments.
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A decentralized market contains digital technology, which allows buyers and sellers of securities to deal directly with each other instead of meeting in a traditional exchange. A common example of a decentralized market is real estate, where buyers deal directly with sellers.
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What are the customers' major security concerns in technology adoption talking about omnichannel retailing as a mode of business activities and how far has the omnichannel succeeded to penetrate in developing countries' markets?
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Dear Ahsan Siraj,
The development of online commerce, purchases made via a smartphone, the possibility of making online payments, etc. increases the scope of multi-channel sales. The SARS-CoV-2 (Covid-19) coronavirus pandemic caused the acceleration of the development and scope of multi-channel sales in 2020 by increasing the scale of digitization and the internetization of economic processes. However, the greatest concerns of customers are correlated with the level of cybercrime in the field of extorting money for a non-delivered product offered on the Internet, fake shops and product offers on the Internet by cybercriminals, cybercriminals hacking into online banking accounts, sending malicious software in email spam, etc.
Best wishes,
Dariusz Prokopowicz
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We want to place a large order, but we are not sure how reliable they are. Our local suppliers costs us a lot more, since they also source it from similar foreign merchants, and we wanted to cut down the expense. 
We want the product shipped to India, and would like to have some assurance before placing the order. Has anyone had any experience with them in terms of international shipping? Any suggestions or information in the regard will be appreciated. Also, if anyone has used their own products, please let us know of your experience.
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See this Nature Article about the "Independent Validation" Program set up by antibodies-online.com to fight the Reproducibility Crisis (https://www.nature.com/articles/521274a)... antibodies-online.com cleary strives to provide reliable products... other than that: antibodies-online has been serving the scientific community since 2006 with offices in Europe and the U.S.
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I am doing dissertation on product bundling strategy for UK grocery retail dataset.  Can anyone provide the link to download dataset where I can check demographic details and items purchased with quantity information is available.
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Thanks David ,Sure I will follow your suggestion. If you have any idea about any dataset link please share , your this help will be highly appreciated.
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I am currently busy with my PhD on omnichannel supply chain integration. I am struggling with the correct “terminology” in terms of omnichannel. It seems that most authors simply use “channel” or “online/offline channel”. However, since I am investigating omnichannel from a supply chain perspective, my supervisors feel that “channel” is too broad. For example, depending on the part of the omnichannel process I am discussing – the website could serve as both a communication OR distribution channel. My supervisors feel that it would dilute the managerial recommendations at the end of the study since channel is ambiguous. The suggestion at this stage is to use the word “omnichannels” instead of channels (as it is more inclusive than merely using channel).
For example:
“Shopping by means of a variety of omnichannels is no longer novel but has become universal for both consumers and retailers (Cummins, Peltier & Dixon, 2016: 12). Customers expect consistent, uniform, integrated services and experiences, regardless of the omnichannel they use. Customers are willing to move seamlessly between their preferred omnichannel depending on their current situation, the time of day, or the product category.”
My question(s) for other authors writing within the field of omnichannel retailing:
1) Do you think the ambiguous use of “channel” dilutes the understanding of omnichannel retailing?
2) How do you explicitly differentiate between the different uses of “channel” (as touchpoints and fulfilment channels) to clear up the ambiguity WITHOUT creating reader fatigue?
Attach is a table with a summary of the terms used across omnichannel. I attempted to answer my own question with this table – but ended up creating more questions than answers.
I thank you in advance for your time and input in this regard.
Alicia
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What Is the Impact of Omni Channel Commerce on Supply Chains
What Is the Impact of Omni Channel Commerce on Supply Chains
By Marina Aleksic / June 30, 2020
As retailers move from traditional brick-and-mortar shops selling to a mix of brick-and-mortar and online stores, they face numerous supply chain challenges. Retail stores sell directly from stock. While some online retailers can do the same, many rely on third-party distributors and suppliers to ship and fulfill them.
The catch is that online merchants will send several individual orders to consumers on the same day, while department stores only provide walk-in customers with products out of stock.
What is Omni Channel Supply Chain
Omni channel supply chain serves consumers across various channels. However, omni channel solutions provide one-touch integration across all channels to provide a superior customer service experience.
Omni channel solutions give consumers the flexibility to ship items to their homes or stores from ecommerce sites. Consumers can also choose to complete online purchases, and then pick the item from the store itself. If an item is not available at the store, consumers can order it from their smartphone and wait for it to be delivered.
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This questionnaire is part of our Academic Research , to study "Choice of Retail Format during purchase of Smartphone ".
We request you to please spare 5 minutes of your valuable time.
Data will be used only for academic purpose.
Your participation will be highly appreciated.
Thank you so much.😊
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Cannot complete the survey (I come from Italy, so I can't answer the District question).
You might consider specifying the area of interest for the questionnaire, to avoid non-useful answers.
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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 have done research on retailing and technology. I need to publish an article and looking for a good journal. Can someone please recommend me a great journal
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Journal of Retailing
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Micro environmental anylysis of pickn pay as a South African retail brand using Pestel as a method anylysis.
Factors for each variable and thier respective impact on Pickn pay?
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Macro level factors matter a lot, should be considered in detail. Political stability and the Govt. Policies will be having a major impact. The company's own SWOT Analysis will be more relevant.
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Hi all
I'm new to marketing and consumer behaviour research. I would be grateful if you could share some classic theories in this field or any framework or theories you found useful.
In the past, I have used the Theory of Planned Behaviour (incl the theory of reasoned action), the Technology acceptance model, and the Unified theory of acceptance and use of technology.
It would be great to expand my (as well as those new to this field) knowledge to look at other models that marketing researchers have been using.
Your contribution is much appreciated!
Kind regards
Junxiong
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Junxiong Li Based on using BS policies when appropriate, use the insights and methods from social marketing as they engage with behavioural sciences to lead the practical convergence .
The novelty in research lies in 2 aspects:
1. Providing the comparison of the application of BS to policy with SM.
2.Employing the policy-making cycle framework to map the contributions.
You may want to consider sociology and communications theory?
Another promising area is policy-making and citizens’ sovereignty.
Good luck.
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Dears researchers,
I just need your quick insight on what secondary variable(s) should I choose to adequately capture the retail investor participation in stock markets?
I would highly appreciate your quick responses possibly with references.
Thanks in anticipation
Thayyib
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The expected growth in the earnings base, The discount rate, which is itself a function of inflation. The perceived risk of the stock.
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Gentlemen, I am conducting a research in my city on the application of the swot matrix in the largest retail chains, and through this application analyzing the impact of the pandemic on these retailers, could give me some idea of ​​how to cross the matrix, with the purpose of defining strategies more accurate for these businesses.
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The guidance/views/example of a SWOT analysis as per the following papers may further help:
  • Helms, M. M. and Nixon, J. (2010) Exploring SWOT analysis ‐ where are we now? : A review of academic research from the last decade, Journal of Strategy and Management, 3, 3, pp. 215-251.
  • Hill, T. and Westbrook, R. (1997) SWOT analysis: it's time for a product recall, Long range planning, 30, 1, pp. 46-52.
  • Pickton, D. W. and Wright, S. (1998) What's SWOT in strategic analysis?, Strategic change, 7, 2, pp. 101-109.
  • Yu, L. and Huimin, G. (2005) Hotel Reform in China: A SWOT Analysis, Cornell Hotel and Restaurant Administration Quarterly, 46, 2, pp. 153-169.
Furthermore, the following publications may help enhance an understanding of SWOT, namely: “…..we prefer TOWS analysis because it starts with an outside-in perspective, whereas SWOT analysis uses an inside-out perspective. An inside-out perspective tends not to consider customers’ wants or competitors advantages. The TOWS analysis is used because changes occur so rapidly that a particular advantage can be rendered meaningless in a very short space of time. Rapid changes often become treats to a company’s survival, though they could also be viewed as opportunities…..” (Kotler and Kartajaya, 2000, pp. 98-99).
  • Kotler, P. and Kartajaya, H. (2000) Repositioning Asia: From Bubble to Sustainable Economy. Singapore: John Wiley & Sons (Asia) Pte Ltd.
  • Weihrich, H. (1982) The TOWS matrix - A tool for situational analysis, Long range planning, 15, 2, pp. 54-66.
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Which type of printing technique (like thermal printing, inkjet printing) generates cheap and efficient RFID tags that can be used in ware house management, retail, medical? If there are any printing techniques (currently being used or developed) other than those I have mentioned above, please kindly mention.
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Thank you for sharing this question
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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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I am planning to investigate how the end users of technologies like Disruptive Innovations in the banking sector captivates the technologies that is brought to them which is downstream. But trying to figure out the implications and understanding for upstream of the disruptive innovations in the sector
I went through Clayton Christensen theory and trying to put it in the context of Capitec Bank in South Africa, where it has changes the banking sector and had influenced how disruptive innovations in the banking for the inclusion of the excluded majority in the banking services.
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Hi Mandla, it's been quite some time since you asked this question. Could you please share how did you go with your research on this topic and what did you find?
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Regarding patent: PCT/IB2020/053346
I have found several kinds of millimetric-size UV-C lamps having a price of $2-$4 (retail) that makes
the implementation of this kind of respirator commercial and enough small. output power is several watts. on the other hand laser and LED UV C emission doesn't produce emission.
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very good question
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Thanks for your interest in the above question..
I would like to Quote an example to make this question more simple to apprehend.
For a brand experience in a retail scenario, the below variables can be considered.
1. Customer Service
2. Advertisement / Mass Media / Digital media
3. Brand Loyalty
4.Packaging ... to name a few..
In the case of B2B , what could be the probable brand experience variables..
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In the case of B2B, two things would affect their transactions.
1Business dealings for a long time and frequently
2Decision- making by organizations
It is a case that they aware of brands well.
-the pressure that consumers want to buy products made of B2B brand part/parts
(fabric, screw, IC, and so on) .
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Is there any study or research differentiating the consumer behaviour of low-income customers and middle-income customers, especially in the emerging markets?
It will be great if I get some industry insights (case study or examples) on the learnings, challenges or past failures of a retailer's strategy due to such a misinterpretation of treating low-income customers same as mid-income customers?
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When i googled, I found a plethora of research discussing the consumer behaviour of low-income consumers .. But may be sparse studies are done regarding the middle-income consumers .. Other studies examined the relation income, social class, and consumer behaviour.. Here is the link for one research:
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Hi colleague researchers!
I've been preparing research on Digital twin and machine learning adoption at retail/wholesale companies. But it appears that ML is applicable in a limited number of operations, in reality. Such as demand forecasting in category management. In your experience what is the situation in the industry?
Geography of my data source is Central Asia and Former Soviet Union countries.
I am also open for joint research in this field.
Regards,
Askar
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Many many congratulations. Really a very good topic of research.
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Sustainable packaging in today's competitive economy seems a very difficult perspective to achieve due to cost consideration, except applicable possibility in few limited areas at retail distribution, where such mechanism is to be developed and implemented by authorities. A prudent policy is needed to be regulated. But this cannot be applicable in all product lines. The movement of goods on imports and exports scenario is one such example. Nanotechnology seems a promising field, where there is a possibility of a reduction in pollutants, as generally advocated and claimed by the expert.
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Dear all, nanotechnology alternatives to classical packaging are already in use, what is still in progress is their widespread worldwide. Please check the following links and attached files. My Regards
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I need to conduct a research paper in retail management. However, I know a little topic on retail mgt, for example hedonistic motivation. Thus, please tell me about the latest trend in retail research.
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To administer questionnaires
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Visit one of the retailers. Ask whether they have a kind of association , or group . Usually they have. Tell them your are going to conduct a reseach.
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here I wanted to study each dimension of marketing efforts that online retailers use to reduce customers perceived risk categories as follows;
Financial marketing efforts like COD, payment options, least price guarantee, sales, discounts, buy one get two, etc
product/physical marketing effort like try and buy offer, no question return policy, quality assurance policy,etc
time/delivery marketing effort like fast delivery, order tracking, choice of delivery time,etc
here am I right to use term "marketing efforts" for those statements?
or can I get any measuring scale which can incorporate all prevailing offers that online retailers provide to their customers?
or how my study be designed to study those all offers and schemes by online retailers from how much they value to customers?
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Dear Bindu Tiwari,
This is a very interesting area... Congratulations!!
If you don't mind, I'd like to make some thoughtful contributions.
First of all, the models of consumer behavior have significant results in a specific context.
Probably, it may be very difficult to assess all the variables/indicators, for all products and all interested target groups.
In this sense, the suggestion is limiting the scope by identifying a segment (as well as defining a position) for a specific (kind of) product to develop a methodology aiming to assess the influence of all these variables.
Second of all, it is common to develop communication for the most important competitive advantage (the concept of the product or the price policy or the distribution, etc.) separately. This means that marketing should promote only the most important to the consumer (based on demand).
Finally, the options must be related to the product life cycle.
There should be some concern about price promotions because they may affect the perception of quality.
I hope these suggestions helped you!
All the best,
Oliva
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I am looking for scale to measure customer confidence in retailers. It will of great help.
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We are talking retailers.
What are the important criteria that people use to choose where they will shop?
e.g. price of goods / product quality / helpful staff / good layout / easy access / loads of parking / online sales / good delivery/ concerned about recycling / returns policy and so on. You need to establish them for your country.
Right then you measure how customers and the target market rate the store on these factors … either levels of agreement that they are good, or perhaps measure level of satisfaction (very dissatisfied / dissatisfied / neutral / satisfied / very satisfied).
.
Finally follow up with measurement of the Net Promoter Score
That is:
Using a score out of 10, where 10 means very likely and 0 means totally unlikely --- you ask:
How likely are you to recommend ‘store’ to your friends?
You then calculate
Promoters – those who rate 9 and 10
Passives - those who rate 7 or 8
Detractors – those who rate 6 or lower
your NPS = %promoters minus %detractors
This number needs to be positive …. and the larger it is, the better you are serving your customer.
At the end of this exercise you know how the retailer is performing on selection factors … and what the end result is on their NPS.
You have direction / know what to fix … and if people are recommending you they have confidence you won’t let them down. They will carry on shopping.
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We all know that ORPOS is a niche domain and I want to be a expert of it. Please a technical answer is required so that I can get a knowledge of the whole thing.
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Training, then training and access to all that is new in the field of specialization, taking into account the field practice of business to develop your skills and capabilities, and access to professionalism in the field of work Salman Ahmad
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Polythene banned by the Indian government at district level in the shops of small retailers is a good initiative, but is it possible to overcome plastic pollution by this until unless large manufacturers will continue to manufacturing of polythene and poly bags? Should this type of manufacturing unit also be banned? If the origin will be banned , local public will never be able to use such kind of plastic bags which are hazardous for environment. Justify please.
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I am currently working on my master thesis and have faced some problems in designing a survey. The goal is to analyze a transition from ordinary offline retailing towards physical showrooms effectuating fulfillment of products through an online shop.
I use as dependent variable customer satisfaction (reaching from 1-10) and as independent variables the following ones:
F= fulfillment (1/0) 1=now 0=in 3 days
A=assortment (from 10 to 20 units per shop)
P=price (from 25 to 25*0,7discount->17,5)
Is it possible to design a survey/ experiment in a way to get the needed data for this equation?
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You need to design items to measure the constructs (customer satisfaction, fulfillment and assortment) that you have. How do you get price data from a survey? Is it over time or for 5 years? Survey data is at a pt. in time unless you want to do longitudinal data which is not easy to survey.
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Retail businesses are usually small with small budgets, is it possible for them to engage ERM in any meaningful way.
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Given how low the margins often are - while gross margin may be relatively high at around 50% in my experience, net margins after rent and wages are often very thin - fraud and theft are a significant cost in retail, as pointed out by Ali A. Naeem
Fortunately computerized point of sale systems are often equipped to assist as pointed out in the attached:
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Hi,
For a research I am trying to compare google trends search volume series for two online retailers . However, as you migth know, Google Trends returns you a normalized search index value for a spesific time period and does not reflect real search volumes. So in my thinking, while estimating statistical models, this issue creates an important problem. Do you also think if a model includes more than one google trends variable, they should be weigthed? After that issue wiegthing could also be a problem too.
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Omer Zeybek, I guess this question is not directed at the capability of Google Trends to compare but the type of statistical test to be used. It can be both parametric and nonparametric. Best of luck, bud.
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Dear colleagues, I am searching for recent papers in the field of workplace studies/studies of work that cover the topics sustainability, packaging, retailing, food, plastic, technological innovations.
Thanks in andvance for any suggestions,
Lukas Sattlegger
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I have no idea about this topic
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Hello everyone,
Currently, I am writing my master thesis on retail service robots and I need to conduct a survey which requires 40 participants. All the instructions and background information is in the introduction. It is very interesting and would take only 5 - 7 mins.
Please click the following link to participate, or copy paste in your browser.
Thanks a lot for your help and support.
Sardaruddin Kamali
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The server you're using still may collect some logs, it's not a big deal but some notice could be needed.
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We would appreciate someone installing our authentication system, and giving us feedback on various aspects like ease of installation, user experience, bugs (hopefully, none...).
We will give you a free licence for an unlimited number of users and unlimited number of installations. Ideally, we'd like to test with about a hundred users, but any number will do in practice.
You'll need to have a Linux or Sun (SPARC) Solaris system for the main server, but user connections can be from any device, running any O/S - including smartphones, tablets, etc.
You'll also need an Oracle database. You can download Oracle 11g from their website, for free.
Installation takes about an hour, plus the time to migrate any existing users - for which we can supply a free tool.
Thanks in advance.
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Dear Mark,
You may like to read "Analysis of Authentication Techniques Adopted by End Users in Real-Life...", published in Proceedings of International Conference on ICT for Sustainable Development pp 99-107. This may be useful to you. Link is as under:
With best wishes,
Dr Kuntal Patel
Author: Self-Study Websites
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While doing research on the value chain and competitive advantage in Islamic banks, I found no study on this aspect. Maybe because there is no difference between Islamic banking and conventional banking in terms of value chain? shouldn't we start with that?
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I think it would be an interesting topic. While in so many aspects Islamic banking shares some common characteristics with conventional banks, there are a lot of unique characteristics that await to be explored.
Good luck with your research. Looking forward to seeing the progress of the research.
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I conducted a study on WTP towards Bio and Fair Trade labeled products in different retailer formats, based on Surveys, 4 surveys were distributed all random sampling, 2 independent Variables with 2 levels (Products = labeled not labeled / Retailer Format = Discounter and Supermarket), and one dependent Variable (WTP towards the products). Each survey had a combination of the variables, Labeled + supermarket, not labeled + supermarket, labeled + discounter, and not labeled + discounter. All of the surveys were random sampling, which means no person answered more than one survey.
Which analysis of variance should I use, in Excel or SPSS.
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Raul Sahli Hi, first code the categorical data ( Label or no Label as 0 and 1, like with label=0 and without label=1, for example, and retailer Format where the product is being sold such as Discounter or Supermarket as 0 and 1).
Follow this example:
Once you have coded the data, put 'Products' and 'retailer formats' as fixed variables and WTP as dependent variable to run ANOVA.
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Hi!
My name is Catarina and I'm looking for some help in Innovation Marketing- Product Innovation.
I'm going to join a project which aims to analyse the consequences of implementation of an improved product in a certain store -emphasis on the fact that this is about incremental innovation, which means improving an already existing product and not developing a new one.
What I need to know is:
  • How to perform a statistical analysis on changes in the market after the implementation of this case of innovation marketing, specifically product innovation, in order to assess the consequences of this implementation.
  • What methods should I use to conclude what the clients consider to be an innovation?
  • What statistical analyzes are usually performed in the evaluation of the implementation of Innovation marketing?
  • How to measure the weight of positive / negative aspects?
  • What are the stages of this study before implementation (forecast) and after (evaluation)?
All of these in a perspective of statistical analysis.
Also, if there is any documentation on this subject that could be helpful please let me know.
Thank you :
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Thank you so much!
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I would really appreciate some guidance on proven ways to qualitatively measure competitive advantage. I have seen previous posts on RG with a similar question, but most of the answers relate to quantitative measures. My current research project is based on determining how retailers can gain a competitive advantage by integrating the organisation internally. Note: the sample of the specific group of retailers within the country the study is based is small – hence my statistician has warned against going the quantitative route.
I have done qualitative studies previously, however, I am finding it difficult to find published qualitative studies measuring CA.
Any suggestions would be appreciated. Thanks in advance.
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Hope following may be useful,
Riddle, P. K. (2018). Place and competitive advantage: a qualitative study of financial services in Edinburgh and Glasgow.
Rajuli, K., Cheing, A., Adruce, S. A. Z., Ting, H., Usop, H. H., & Memon, M. A. (2017). Knowledge Sharing Traits and Competitive Advantage: A Qualitative Inquiry. e-Journal of Social & Behavioural Research in Business, 8(2), 29-44.
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Tunas Manja Group operates the retail store as TMG mart and facing problem in the sorting process of the items. As we know, six sigma is a set of management techniques intended to improve processes by reducing their error.
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We can apply the Six sigma methodology effectively for assortment planning especially designing the shelf life. Out comes reflect in reducing /eliminating the errors in hypermarket stores.
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Starting with the
1. Producers - whose main objective is to maximize production and minimize on cost.
2. Processors - who will need to minimize losses and resources. Quality is their concern too
3. Distributors
Either wholesalers or retailers who9 would want to have a wider market share, make more sales aND minimize on transaction cost
4. Consumers - who will buy quality products and concerned with the price of the product.
Discuss how the above stekeholders would put in place control measures in the bread's value chain in order to achieve their targets and fulfill their set aims.
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Dear sir
You can produce the bread value chain map focusing on ((only for main Channels)
1. Product flow direction and amount
2. Information flow and
3. other parameters if any. Thanks
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Starting with the
1. Producers - whose main objective is to maximize production and minimize on cost.
2. Processors - who will need to minimize losses and resources. Quality is their concern too
3. Distributors
Either wholesalers or retailers who9 would want to have a wider market share, make more sales aND minimize on transaction cost
4. Consumers - who will buy quality products and concerned with the price of the product.
Discuss how the above stekeholders would put in place control measures in the bread's value chain in order to achieve their targets and fulfill their set aims.
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Well, I don't know if this is the right place for exam questions. What are your hypotheses? Then one can certainly take a stand on it.
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Tunas Manja Group operates the retail stores known as TMG Mart that provides and sells various products which are mainly the groceries and houseware goods. However, the mart is facing problems in finding the best solution for sorting process which caused the customers having a hard time finding their desired items in the mart.
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Dear Hidyah,
In simple terms, the five S methodology helps a workplace remove items that are no longer needed (sort), organize the items to optimize efficiency and flow (straighten), clean the area in order to more easily identify problems (shine), implement color coding and labels to stay consistent with other areas (standardize) and develop behaviors that keep the workplace organized over the long term (sustain).
5S – 5S stands for Sort, Set, Shine, Standardize and Sustain. It’s a simple but powerful way to organize a workspace that reduces waste and boosts productivity. Sorting is often a first step for many companies because of the immediate impact on workflow and the elimination of the Eight Wastes focused on by Lean.
Sort (seiri) – Distinguishing between necessary and unnecessary things, and getting rid of what you do not need
· Remove items not used in area – outdated materials, broken equipment, redundant equipment, files on the computer, measurements which you no longer use
· Ask staff to tag all items which they don’t think are needed – this improves understanding about need and use
· CLASSIFY ALL EQUIPMENT AND MATERIALS BY FREQUENCY OF USE TO HELP DECIDE IF IT SHOULD BE REMOVED – PLACE ‘RED TAG’ ON ITEMS TO BE REMOVED
(please note this is)
· Establish a ‘holding area’ for items that are difficult to classify – hold item for allotted period to enable others not on 5S team to review
Bold and uppercase points are valid for optimizing and sorting in hypermarket.
For further study on commercial mall, use this site to read.
(how sorting used in commercial mall using six sigma)
Hope it helpful for you.
Ashish
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Tunas Manja Group operates the retail stores known as TMG Mart that provides and sells various products which are mainly the groceries and houseware goods. However, the mart is facing problems in finding the best solution for sorting process which caused the customers having a hard time finding their desired items in the mart.
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Hello,
A means of transforming the sorting process in a hypermarket into a lean system, using a Six Sigma approach, is to process products by product families and then by sub-products families. Is it clear enough for you ?
The best!