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I am interested in any published papers that analyze the impact of COVID on NPS, especially in the B2B space.
Regards,
Bill Lycette
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Dear Bill,
I hope you will find the following article and the enclosed references are useful for you research.
Best regards
Hamdi
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Disparities in Customer Satisfaction and Loyalty Metrics Post-COVID-19: Analyzing the Recovery of Service CSAT and the Lagging NPS":
The recovery of Service Customer Satisfaction (CSAT) to pre-COVID levels, contrasted with the lagging Net Promoter Score (NPS), presents a complex scenario that warrants exploration into the underlying factors. Research indicates that while CSAT reflects immediate customer experiences and satisfaction with services, NPS captures broader loyalty and willingness to recommend, which may be influenced by different dynamics in the post-pandemic landscape.
One potential reason for the divergence in recovery rates between CSAT and NPS could be the evolving expectations of customers in the wake of the pandemic. As noted in studies, healthcare professionals have had to adapt their services to meet the diverse expectations of patients recovering from COVID-19, which has led to generally positive reviews of post-COVID services (Sunkersing, 2024). This adaptability may enhance immediate satisfaction (CSAT) but does not necessarily translate into long-term loyalty or advocacy (NPS). Furthermore, the pandemic has introduced significant stressors and uncertainties, which can affect customer perceptions of service reliability and trustworthiness, thereby influencing NPS more adversely than CSAT (Shaikh et al., 2023; Menges et al., 2021).
Moreover, the impact of service recovery strategies during the pandemic has been highlighted as a critical factor. Research suggests that effective service recovery, including timely communication and compensation, can mitigate the negative effects of service failures experienced during the pandemic (Mazhar et al., 2022). However, the effectiveness of these strategies may vary across different sectors, influencing CSAT and NPS differently. For instance, in the hospitality sector, customer satisfaction has been closely tied to the perceived quality of service recovery efforts, while long-term loyalty may hinge on broader brand perceptions and experiences ("Influence of Domestic Tourism Marketing Strategies on Post Covid-19 Hospitality Sector Recovery in Isiolo County", 2024).
Additionally, the psychological and emotional toll of the pandemic on consumers cannot be overlooked. Studies have shown that many individuals experience lingering effects post-COVID, such as anxiety and fatigue, which can influence their overall satisfaction and loyalty to services (Shaikh et al., 2023; Rao et al., 2021). This suggests that while immediate service interactions may be satisfactory, the overall emotional and psychological context may hinder the establishment of strong loyalty metrics like NPS.
In light of these findings, it would be prudent for organizations to commission further research to delve deeper into the nuances of customer satisfaction and loyalty in the post-COVID era. Understanding the specific factors that contribute to the disparity between CSAT and NPS could inform strategies to enhance customer loyalty and improve long-term business outcomes. This could include exploring the role of service quality, recovery strategies, and the psychological impacts of the pandemic on consumer behavior (Zygiaris et al., 2022; Chan et al., 2023).
In conclusion, while CSAT has rebounded to pre-COVID levels, the lagging NPS suggests a need for a more nuanced understanding of customer loyalty in the post-pandemic context. Future research should aim to unpack these complexities and provide actionable insights for businesses navigating this new landscape.
References:
1. (2024). Influence of domestic tourism marketing strategies on post covid-19 hospitality sector recovery in isiolo county. Journal of Hospitality and Tourism Management, 7(1), 106-118. https://doi.org/10.53819/81018102t5313
2. Chan, K. H., Yen, Y. Y., & Ng, P. C. (2023). What motivated malaysians in banking with the service provider in the post covid-19 pandemic era?. Issues and Perspectives in Business and Social Sciences, 3(2), 38-47. https://doi.org/10.33093/ipbss.2023.3.2.2
3. Mazhar, M., Ting, D. H., Hussain, A., Nadeem, M., Ali, M. A., & Tariq, U. (2022). The role of service recovery in post-purchase consumer behavior during covid-19: a malaysian perspective. Frontiers in Psychology, 12. https://doi.org/10.3389/fpsyg.2021.786603
4. Menges, D., Ballouz, T., Anagnostopoulos, A., Aschmann, H. E., Domenghino, A., Fehr, J., … & Puhan, M. A. (2021). Burden of post-covid-19 syndrome and implications for healthcare service planning: a population-based cohort study. Plos One, 16(7), e0254523. https://doi.org/10.1371/journal.pone.0254523
5. Rao, S., Amara, V., Chaudhuri, S., Rao, B. K., & Todur, P. (2021). “post-covid-19 syndrome:” the new pandemic affecting healthcare workers and how the frontline warriors are battling it. Indian Journal of Palliative Care, 27, 313-318. https://doi.org/10.25259/ijpc_160_21
6. Shaikh, S., Siddiqi, Z., Ukachukwu, C., Mehkari, Z., Khan, S., Pamurthy, K., … & Brown, A. (2023). Covid-19: post-recovery manifestations. Cureus. https://doi.org/10.7759/cureus.36886
7. Sunkersing, D., Ramasawmy, M., Alwan, N. A., Clutterbuck, D., Mu, Y., Horstmanshof, K., … & Heightman, M. (2024). What is current care for people with long covid in england? a qualitative interview study. BMJ Open, 14(5), e080967. https://doi.org/10.1136/bmjopen-2023-080967
8. Zygiaris, S., Hameed, Z., Alsubaie, M., & Rehman, S. (2022). Service quality and customer satisfaction in the post pandemic world: a study of saudi auto care industry. Frontiers in Psychology, 13. https://doi.org/10.3389/fpsyg.2022.842141
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I am preparing a dissertation on the factors affecting the customer's lifetime value. I came across a question: Should I use the dimensions of the RFM model (recency-frequency-monetary) to calculate the dependent variable (CLV), or could these dimensions be among the factors affecting CLV?
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Thanks for your question Kout,
I`ll recommend you the following dissertation of Dr. Kai Wille:
Best regards
Hartmut
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Good morning,
I have to do a work for college and I don't know how to do it. I have to capture and create customer value. I don't know how to start or the structure to do it. If someone can help me, I would appreciate it.
Thank you
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To capture to capture and create a customer value, you should persuade the customer by answering to their core needs, and then create a fair business exchange situation where the quality of products or services is equivalent to their prices
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Hi Professionals,
I am doing the project for academic purpose and there are no right or wrong assumptions but in business if your assumptions have to based on solid ground of data and predictions.
What are the assumptions that would work of aviation industry in the next till 2050?
How should one approach business and customer value proposition in turbulences and very pierce competition and rising costs ?
please do share your ideas and help me
Thanks and regards,
Eugine
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Kindly have a look here...
Indian Aviation Industry, Aviation Sector in India, About, Analysis
Indian Aviation Industry Report
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I would like to colour a protein structure in heatmap-like colour scheme. I have a list of values for each residue and would like to represent on the protein structure (eg. more positive = blue, more negative = red), however I don't know which software to use or if this is possible, does anyone have any suggestions? Packages in R or Python would also work?
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Try "Bio3D" in R
load your pdb file read.pdb( ) function, each atomic cordinates x,y,z will consider as separate columns . By default your data will be a data frame. Covert your data frame into a matrix. From matrix you can generate the heatmap. You may choose any colour based on +ve and -ve values.
here are some ref
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Public/ User participation and its importance in public infrastructure projects is being understood more and more nowadays leading to increased public/ user engagement in development of such infrastructure assets. The view of 'uninformed project user' is going away with availability of better technologies for information dissemination whether it be project specific or local area information. The inevitability of understanding/ assessing local needs to the fullest and efforts for improved transparency in the project delivery system supplement these.
Is it getting established that views of the local users have the maximum utility in enhancing the project value / bringing out maximum benefits out of the asset?
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One key to productive public engagement is the need to inform the public about the hidden dynamics of infrastructure. In the early 1900s, there was a London neighborhood where workers had to pay a toll to cross a bridge to get to their jobs. The public, when informed of this, thought it was terrible to charge working class people a toll to get tot their jobs. In response, the government eliminated the toll. Within a short time, rents in this neighborhood increased by the amount of the toll. Workers who used the bridge were no better off than before. Some, who didn't use the bridge, were worse off because their rents went up and they received no benefit.
If infrastructure projects are well-designed and well-executed, the price of well-served land goes up, creating windfall profits for a few who are lucky-enough to own well-served land. The ability of private landowners to appropriate publicly-created land value is the fuel for land speculation -- a parasitic activity that creates nothing of value, but which inflates land prices to the detriment of residents and businesses alike.
So public engagement regarding infrastructure projects must include education about land value creation. This education should also inform people about techniques for land value return and recycling, whereby publicly-created land values can be returned to the public sector and used to pay for the infrastructure that created them.
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We in village we don't have problem of production but we are facing a lot of problem related with market how technological advancement will support the small handler farmers🤔
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Ministry of Food Processing supports value addition projects in agriculture. Please the guidelines on website.
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When developing machine learning projects is expected that the investment creates value for an organization. How can we measure the ROI of an investment in a machine learning project? For example, when we measure the dropout, should we consider the total cost of dropout and estimate gains, reducing it, for example, 5% to justify the investment and measure somehow the ROI?
Is there any approach to consider to estimate the ROI? Research addressing this the investment in the context of machine learning and the expected value generation to an organization?
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ALTEXSOFT - A machine learning ROI software.
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What is the value perceived by the customer in strategic marketing?
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The value perceived by the customer is essentially the added value that the product adds to the competition ...
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Any recommendations for some good CRM case studies for an undergraduate course in Customer Value and Relationship Marketing? I'm looking for cases that are current (2016 or later), short (6-12 pages) and non-Indian (I have two of those already). I have already checked HBS site. Thank you.
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George, thank you for that good list. I'll definitely review these recommendations. Art
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Practical setting in a company. Would like to develop a model to predict future value of customers to the company.
Important is to be able to make a distinction between customer characteristics and product characteristics.
What method is best to use, what CLV method or Customer Equity, CVT (customer valuation theory) etc.?
Anyone that is willing to share some tips with me for implementing such a model into an organization?
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Several studies in the area of Direct Marketing and Customer Relationship Management have shown a strong relationship between future and past pur- chase behavior
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What is academic value of self published e-books on Amazon self Publishing or any other self publishing channel? E-books as reliable citation source?
I have been working with both practitioners and academicians since last 7 years. I worked in corporate sector in strategy, customer experience, customer value management and analytics section.
As a corporate trainer, I am conducting training's on customer advocacy and customer value management. So far I have worked with more than more 100 companies as an independent consultant.
With academicians I have co-authored more than 20 papers and working on many more.
Throughout these seven years, I recorded almost everyday in my journal. I learned many things.
I would like to share all this in such a way that it should be interesting for all three segments. In this context I think the e-Book is something which everyone can easily read. However, I am also concerned about value of E-book in eyes of academicians? In terms of citations and profile of researcher/writer?
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Muhammad Farooq
Yes reliable and most of them are replica copies of original books
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Customer Value Proposition Any proven/established model?
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Thank you very much My.Ranjit Voola. It is an interesting article..
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Hi,
do you know about any research that divided customers to low- and high- value ones?
If so, could you, please, provide any suggestions?
Thank you.
All the best,
Lukas
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The importance of services in business in terms of knowledge creation process for customer value is increasingly well-understood by typical companies. Typical companies are trying to innovate service as solution through restructuring their business model by adding the service concept that is necessary to make customer value co-creation process. Generating new knowledge is a core factor in the implementation of this notion in the practical field. Therefore, the typical company must have a favourable infrastructure (i.e., workplace design) to make highly motivated employees and idea generation environment. In addition, the company has to be with a platform to integrate both of internal and external issues for beneficial relationship with the involvement and interaction between company and consumers, thereby exercising together in every part of the business system in order to generate new knowledge, focusing on service-based solution.
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I think the social component is important in the relationship between employers and employees / when employees who have tacit knowledge, they get paid, compensation, health care and everything is available / employers will be able to transfer this implicit knowledge into explicit knowledge. can you read :
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I need this part from the journal
The journal name :
Services innovation impact to customer satisfaction and customer
value enhancement in airport.
Author : James K.C. Chen*, Amrita Batchuluun, Javkhuu Batnasan
Asia University, Taichung, Taiwan
I need this part from the journal (page 223)
(5 questions for service innovation SI1eSI5, respectively as Appendix Table 1. A pre - test of the questionnaire was done to verify the reliability of the scale items).
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Are numbers from quantitative studies more relevant than these from fewer qualitative data? If there is a a play of our arguments, that matters in our scientific reasoning, should numbers or some scarce, even though important, evidence (from eg. some few in - depth interviews) play a major role? How can we value it then?
Is statistics the only tool that helps? Aren't we loosing some point by leaving behind some "minor, irrelevant, a bit blurred, not easy too explain" correlations? Maybe not...
I would appreciate your thoughts about it....
best, Beata
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In scientific reasoning, a quantitative description is more relevant than a qualitative one. Saying that this sample of water is warm by sensing it with my hand is not as good as placing a thermometer inside water & getting a temperature reading.
In the scientific approach, facts & figures are stronger than anything else. If customers are really satisfied with a certain product, then their number will tell that & there will be a rise in sales & the product will become so famous that it will advertise for itself without continuous boring advertisements on TVs & websites.
When I see persons praising something on the media on an incessant basis, my usual reaction is to look well into the matter before buying the goods.
Yes, we ought to take evidence into consideration but the correlations have to be well-established without blur.   
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Retail and consumer behaviour 
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What customers value?
Customers value the benefits that the product or service offers. We often use the example, 'customers buy pain killer, not Panadol'. 
What benefits they get from their purchase?
Often, the benefits customers get is the experience. 
Is it different across age and gender? 
Most often yes. One key concept in marketing is the market segmentation. Age and gender are two of the most often used bases of segmentation. The experience the customers seek/gain is quite different across age and gender. 
Best wishes!
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Dear researchers, could you give any recommendations on literature about co-design or co-production with customer in online service? Specifically related with user innovativeness or purchase behavior. Thank you
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You minght be interested in this paper:
Kettunen, J. (2016). Open innovation alliances and communities in higher education, Business Education & Accreditation, forthcoming, http://www.theibfr.com/beasample.htm
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The topic is improvement of customer relationship to ensure we gain customer loyalty & sustainable relationships are established.
We want to create a Model which output information based on customer experience. We have data related to customers(claims, orders, complains)
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Hi Donald,
I suggest you check out these models (do a Google search to track down the critical papers):
1. The satisfaction-profit chain
2. The service-profit chain
3. The loyalty-profit chain.
They identify and operationalise some constructs that might be relevant to you. 
Good luck. Francis
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The modern trend for value creation in the industry to involve the customers in the process. What are the strategies that are available that are used for customer value co-creation in cyber-physical product-service systems and industry 4.0?
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شكرا الأخ محمد حسن على استفسارك ولكني ليست عندي اجابة تفيدك حول موضوعك
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I will be grateful for your help
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The following paper may assist you in finding knowledge valuation model.
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Dr Kumar Procedure If any one calculated before this
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Dear Farooq,
I have performed CLV in telecoms as a consultant - not as a researcher.    This has generally been performed at a customer segment and channel level rather than individual customer basis.  With prepaid, the challenge on segmentation may be limited information on customers.
Customer revenues will include prepaid revenues for each account.  Generally, the CLV will include the cost of acquiring the customer which may include commissions paid to retail outlets or any other channels as well as other sales related costs.    The costs of servicing the client will include the cost to the company of calls made by the customer.  This may include charges from other telcos and/ or internal network costs dependent on whether the company owns a network - (where the company owns a network this is based on network modelling and the types of calls made) as well as customer administration and customer service costs (these can be allocated using activity based costing - difficult at the individual customer level if the company doesn't track customer service interactions at that level).   
As the prior researcher indicated the amount of time that the customer is with the telecom is important to CLV.  A net present value calculation is performed of the above aspects over the life the relationship.  Customers can be segmented based on usage behaviour or location if little information is available about the customers.
Care is required in interpreting the outcomes and making decisions as many of the costs are relatively fixed and may not change with a reduction in customers.   
The effort and data required for the above depends on the accuracy required which will affect the quality of decisions.  A single average customer is not that hard to calculate but may not mean that much.
I have attached an article on CLV that I authored which was published in a professional journal.  It does not focus on telecoms but includes the main concepts of CLV.   I have also attached an article on approaches to customer profitability calculation - this was developed when I was working in Telcos.
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I am researching in the areas of customer loyalty and switching behaviors for e-commerce stores. I would need help in the literature reviews related to the concepts and the gradual model developments and studies conducted by the researchers.
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Dear Aakash, please see the embedded link. It would probably be advisable to repeat the search and  limit it to recent publications, for instance, since 2011.
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I am trying to determine the effect of customer satisfaction on loyalty, mediated by percived corporate image
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For example, in the "gets-gives" conceptualization of customer value, the "gets" has been broadened from product/service quality to cover relationship or experience, and the "gives" has been broadened from cost/price to cover other non-monetary customer resources such as time, effort, emotion, etc.  
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I think its not only advantageous but also essential that the conceptual meaning of a construct be broadened based on the contextual specificity. That is why modern research is accepting adaptation and broadening of a construct to serve the specific needs of a particular study. Let me suggest a couple of examples:
The most popular approach to customer based brand equity (CBBE) is Aaker's CBBE dimensions. However, it is observed that the brand association dimension can lead to a myriad of associations that are very difficult to quantify. Therefore, brand equity studies consider 'brand image' instead of brand association. In this case 'image' which is a result of 'association' gets operationalised.
In service recovery literature 'atonement' is conceptualized as the tangible reward/ return made to disgruntled customer due to the loss he/she suffered because of the service failure. However, when this 'atonement' is operationalized, it is not restricted to the tangibles given to the customer. it also considers the mental and emotional facets of the consumer due to this atonement.
Summarizing,  broadening of the concept of the construct has to be made if it is so required.
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I clustered 3900 customers of an e-shop based on RFM (recency, frequency and monetary) data which was retrieved from company database into 13 groups using a fuzzy c-means algorithm. We ranked clusters based on Customer Lifetime Value (CLV). I should validate the results by using a questionnaire in the real word of the company in order to determine whether clusters could be used to distinguish the sample customers(statistically significant). What would be the statistical test? I really appreciate if you help me on this.
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In the literature there are number of cluster validation techniques are available in particular CS measure is one among them and other one is HS measure.
refer the following link for details: