Retail - Science topic

Omni-channel is a growing approach for retailers. What are the future directions for omni-channel retailing?

How will it be managed in the future and what are its limitations?

Regards, Amin Shahinpour

Hi everyone,

I’m conducting research on how financial news impacts retail investor sentiment. I’ve analyzed around 80,000 articles from The Wall Street Journal, extracted sentiment using FinBERT, and grouped the results by the mentioned company with corresponding publication dates.

To explore the relationship with market behavior, I collected daily options trading volume data for each company on the days articles were published and scraped sentiment data from r/WallStreetBets for the same dates.

Despite various approaches—including using both Spearman and Pearson correlations, data normalization, and analyzing aggregate trends—the correlation between news sentiment and both options trading volume and Reddit sentiment remains weak (below 0.1).

I’m looking for thoughtful suggestions on alternative metrics that could better capture retail investor sentiment or other methods that might reveal a stronger relationship. Additionally, any advice on refining my research approach would be greatly appreciated.

Thanks in advance for your insights!

In the 21st century, there is a heavy debate on how AI and AR technology should be implemented in service-related businesses and how it can benefit producers and consumers. What is your opinion on the following questions?

1) How can AI and AR technology can be used to optimize and improve the value-chain?

2) How can AI and AR help retailers to globalize?

With the increase in the level of competition among online retailers and the replacement of traditional business methods with modern methods, there is a need for a long-term relationship between online retailers and customers, and the strategic goals of online retailers have changed in a way that leads to more Applications of information technology. Small and medium companies include a significant part of the active companies in the country's economy and play an important role in creating jobs and entrepreneurship.

East asian countries are attractive markets for foreign retailers to enter, but they face many regulatory problems which would lead to failure in expansion. What specific regulations would they face while entering east asian countries? And how should retailers react to these regulations?

Regards, Amin Shahinpour

1. Scrutinise the applicability of established consumer behaviour and psychological theories pertaining to human subjects in the context of avatars within the Metaverse.

2. It will explore the hypothesis that the psychology driving human consumers may diverge when mediated through avatars, potentially altering decision-making processes.

3. As Metaverse retail environments increasingly deploy avatars as shopping assistants, this research will critically assess the implications for human resource management (HRM), positing a shift towards ‘avatar resource management’.

4. This investigation will rigorously evaluate the degree to which current models of consumer behaviour and HRM retain validity when transferred to the realm of avatars.

5. It will also consider the role that AR/VR technologies play in facilitating consumer decisions, drawing on recent studies (e.g., Qin et al., 2021).

6. The research will explore how much avatars and the Metaverse affect consumer choices, helping to develop a detailed understanding of the Metaverse.

Project is to conduct a comprehensive analysis of online retail sales trends and customer behaviour using data collected from online sources. The project aims to derive actionable insights for optimising marketing strategies, improving customer experience, and enhancing overall business performance for e-commerce businesses. It will include the analysis of online retail data sourced from various e-commerce platforms, APIs, or web scraping techniques. The focus will be on understanding the factors influencing sales, identifying patterns in customer behaviour, and predicting future sales trends. Include customer segmentation and predictive modelling

who retails few mm diameter polished circular glass plates ?

thickness 0.1 to 1 mm

diameter 1 to 3 mm

ordinary or fused silica glass

polished on both sides and the edge

This concise research question focuses on two main aspects:

The research will likely involve analyzing consumer behavior through data collection methods like surveys or interviews, and examining case studies or existing implementations of AR in luxury retail. It will also include an evaluation of how engineering management principles can be applied to streamline processes, manage technological changes, and enhance the overall effectiveness of AR technologies in engaging consumers and driving sales.

The advantages, disadvantages, customers experience, privacy and bottlenecks

What is the impact of these celebrations on different economic sectors such as tourism, hospitality, aviation and retail?

Which Books you would suggest for the following Subjects which are easy to follow for an entry level college student.

2- Fundamentals of merchandising (Retail Product Management)

3- Digital Marketing

Your suggestions will be highly appreciated.

Thank you.

#Advertising #Promotion #Retail #Product #Digital #Marketing

a retail company took the decision to reduce employees' hours over the firing employee . They communicate badly this decision , in a hurry and with perspective of lay off

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.

"Could you please share your background and experience in the retail industry, particularly in relation to AI technologies? What makes you an expert in this field?"

"How do you see AI technologies enabling value co-creation between retailers and customers in the European Union? Can you provide specific examples?"

"What role do customers play in value co-creation when AI is implemented in retail services?"

"From a resource-based perspective, what are the key resources and capabilities that retailers need to effectively implement and leverage AI technologies?"

"How can retailers in the European Union build competitive advantage through AI-driven resources and capabilities?"

"How have you observed the diffusion of AI innovations within the retail sector in the European Union? What factors have contributed to the adoption or resistance of these technologies?"

"Can you share examples of how retailers have successfully adopted AI innovations to enhance their operations and customer experience?"

"Can you discuss the current developments in AI technology that are particularly relevant to the retail sector in the European Union?"

"How have these developments impacted the operational efficiency and customer personalization in retail?"

"What are some innovative applications of AI in the retail sector, and how do they contribute to cost-effectiveness and value creation?"

"Can you provide examples of AI-driven services that have significantly improved customer engagement and loyalty in the European Union?"

"What are the main barriers to AI adoption in the retail industry in the European Union, and how can they be addressed?"

"Can you discuss any enablers that facilitate the successful implementation of AI in retail?"

"How do retailers address data privacy and ethical considerations when implementing AI technologies? Can you provide examples of best practices in this area within the European Union?"

"What are the implications of AI integration within retail management practices in the European Union? How does AI shape the future of retail business models?"

"What advice would you give to retailers looking to leverage AI for cost-effectiveness and value creation?"

"Is there anything else you would like to share or think is important for my research on the impact of AI on cost-effectiveness and value creation in the European Union's retail industry?"

Why does the Retail & Wholesale industry appear in the intermediate inputs of the education industry in Input-Output Tables? Can you provide an example? Thanks

I would like to focus my master's thesis on the digital transformation of legacy IT Systems and struggle on how to find a good research gap. My research topic will be digitalization and the challenges of legacy IT Systems. I am thinking of focusing on the retail industry. Moreover, the whole topic is still rather vague and I am searching for an interesting currently under researched field.

Any suggestions? Would much appreciate it!

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

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

--------------------------------------------------------------------------------

Then, I even tried to reduce the size of the input dataset (variable around 225631), but it again says the same problem.

What are current retail industry use cases of metaverse

I want to optimize the best pricing strategy for products of a retailer using Value-Based Pricing.

please can you pin point the major key aspects of data science and product development in this regards?

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!

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

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.

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!

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?

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?

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?

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.

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?

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.

The impact of informal retailers on the financial performance of formal retailers.

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.

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?

I have read the following chapter to understand covariates: https://www.middleprofessor.com/files/applied-biostatistics_bookdown/_book/adding-covariates-to-a-linear-model.html#adding-covariates-can-increases-the-precision-of-the-effect-of-interest

Thank you in advance!!

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.

When should household panel data be weighted to increase the representativeness of the data? Does this depend on the number of reporting households?

(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?

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.

The data is needed for a research the cafe industry pre and post covid in India

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.

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.

Can you please provide a list of different product categories available at a Grocery retail store (traditional or modern retail)?

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?

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?

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?

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?

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? 

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?

Sir,

This is a general question encountered during research work. You all are requested to provide your views/comments.

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?

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.

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.

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:

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

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.😊

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!

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

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?

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

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

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.

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.

Looking for research on Brand Activations using Experiential Technology. Specific to FMCG industry in India and the use cases at retail Point of Sales.

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.

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.

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..

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?

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

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.

To administer questionnaires

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?

I am looking for scale to measure customer confidence in retailers. It will of great help.

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.

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.

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?

Retail businesses are usually small with small budgets, is it possible for them to engage ERM in any meaningful way.

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.

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

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.