Voice of the Customer: Feedback Strategies for Libraries and Vendors

2021 ◽  
pp. 289-294
Author(s):  
Adrian W. Alexander ◽  
Mary Lou Goodyear ◽  
Cathy Kellum
1997 ◽  
Vol 31 (1-2) ◽  
pp. 289-294 ◽  
Author(s):  
Adrian W. Alexander ◽  
Mary Lou Goodyear ◽  
Cathy Kellum

Webology ◽  
2021 ◽  
Vol 18 (Special Issue 05) ◽  
pp. 1084-1095
Author(s):  
Kethan Pabbi ◽  
C. Sindhu ◽  
Isukapalli Sainath Reddy ◽  
Bhumireddy Naga Sai Abhijit

We live in an age of information, therefore collected data and documentation are practically treasure resources. All about a business and its development can be estimated with clarity via statistics. Any machine that could really analyse information to predict a projected outcome is known for being extremely vital for the business. It is critical for the system to provide accurate and useful knowledge of the products in order to conduct accurate assessment. Summarisation is a technique for obtaining a rundown from series of sentences in a study or observation that facilitates us with understanding the basic content of the knowledge expressed within. Simple and brief summaries of just a product will assist the system in performing prospective product research and development. In our paper, we use a deep learning framework that provides to extract clean, relevant, brief summaries from comprehensive customer feedback. Strategies of abstractive text summarisation is used. The method of extracting the primary keyword from a statement and using them in the summary is defined as extractive text summarisation. We utilise abstractive summarisation in this case, which evolves from sample information and provides the best feasible description. Utilising Transformer with Depth Scaling MultiHeaded Attention as well as GloVe word embedding with positional encoding, we illustrate an abstractive approach to extract summaries from the Amazon fine food reviews dataset. Transformer aids in the parallelisation of workloads in order to process data more quickly. We have used an Attention layer which boost the model's quality and enables it to become more effective. The BLUE rating is used to quantify the model's potency.


2003 ◽  
Author(s):  
Rahul R. Desai ◽  
Anand K. Gramopadhye ◽  
Brian J. Melloy ◽  
Andrew Duchowski

2018 ◽  
Vol 2018 ◽  
pp. 1554-1554
Author(s):  
Gerrit Hufnagel ◽  
◽  
Tobias Morath ◽  
Manfred Schwaiger

2019 ◽  
Author(s):  
Spoorthi C ◽  
Dr. Pushpa Ravikumar ◽  
Mr. Adarsh M.J

2021 ◽  
Vol 104 (1) ◽  
pp. 267-287
Author(s):  
Radu Cimpeanu ◽  
Susana N. Gomes ◽  
Demetrios T. Papageorgiou

AbstractThe ability to robustly and efficiently control the dynamics of nonlinear systems lies at the heart of many current technological challenges, ranging from drug delivery systems to ensuring flight safety. Most such scenarios are too complex to tackle directly, and reduced-order modelling is used in order to create viable representations of the target systems. The simplified setting allows for the development of rigorous control theoretical approaches, but the propagation of their effects back up the hierarchy and into real-world systems remains a significant challenge. Using the canonical set-up of a liquid film falling down an inclined plane under the action of active feedback controls in the form of blowing and suction, we develop a multi-level modelling framework containing both analytical models and direct numerical simulations acting as an in silico experimental platform. Constructing strategies at the inexpensive lower levels in the hierarchy, we find that offline control transfer is not viable; however, analytically informed feedback strategies show excellent potential, even far beyond the anticipated range of applicability of the models. The detailed effects of the controls in terms of stability and treatment of nonlinearity are examined in detail in order to gain understanding of the information transfer inside the flows, which can aid transition towards other control-rich frameworks and applications.


2020 ◽  
Vol 7 (Supplement_1) ◽  
pp. S593-S594
Author(s):  
Eva Clark ◽  
Prathit Kulkarni ◽  
Mayar Al Mohajer ◽  
Stacey Rose ◽  
Jose Serpa ◽  
...  

Abstract Background Timely, efficient, and effective feedback strategies are crucial for enhancing faculty-trainee communication and trainee education. Here we describe attitudes, practices, and perceived behaviors regarding giving feedback to medical trainees rotating on Infectious Diseases (ID) inpatient consult services. Methods An anonymous survey on feedback strategies was distributed to our adult ID Section in February 2020 as part of a facilitated discussion on optimizing trainee clinical education. Results Twenty-six ID Section members completed the survey (18 faculty, 8 trainees). Most trainees (62.5%) and faculty (66.7%) felt that trainees are “sometimes” comfortable voicing concerns to faculty; however, no trainees but 11.1% of faculty indicated that trainees are “always” comfortable voicing concerns to faculty. Most trainees (87.5%) felt that conversations about team expectations occur “sometimes” or “often.” In contrast, most faculty (72.2%) felt that these conversations “always” occur. Although most faculty felt that both informal (94.4%) and formal (83.3%) feedback should be given to trainees, 22.2% of faculty responded that they do not explicitly use the term “feedback” when discussing feedback with a trainee. No trainees and 22.2% of faculty indicated that they utilize a feedback tool. Regarding quantity of feedback trainees perceive they receive from faculty, 37.5% of trainees felt they needed more feedback while 50% felt they received adequate feedback. Most faculty (88.9%) responded that they encourage trainees to give feedback to faculty, although most trainees (62.5%) responded “sometimes” regarding how comfortable they feel doing so. Conclusion In summary, we found differences between faculty and trainees regarding two important aspects of medical education: setting expectations and providing feedback. While most faculty feel that conversations regarding these topics occur invariably, trainees do not always share this perception. Trainees felt less comfortable voicing concerns and giving feedback to faculty than faculty perceived them to be. Overall, the data suggest that there is room for improvement to ensure that trainees and faculty are operating from a shared mental model regarding setting team expectations and providing/receiving feedback. Disclosures All Authors: No reported disclosures


2021 ◽  
Vol 1 ◽  
pp. 3101-3110
Author(s):  
Carl Nils Konrad Toller ◽  
Marco Bertoni

AbstractProduct-Service Systems (PSS) have emerged as a key concept to meet the societal and market trends of increasing customer needs through the entire life-cycle. Unfortunately, several companies are struggling with getting revenues from service investments and translating 'real needs' to design improvements. The demand of the designer to go beyond the Voice of the Customer (VoC) is evident. This paper aims to map the interventions proposed by research in the area of PSS and VoC. Using a systematic mapping approach, the research domain was analyzed with regards to context and interventions. The results show a progressive development in the research area with a focus on the specification and realization of needs. A gap exists in connecting the engineers with 'real needs' and integrating the customer as a natural part of the entire development cycle of a PSS. By performing a systematic mapping, future research can be more focused and hopefully increasing its impact.


Production ◽  
2018 ◽  
Vol 28 (0) ◽  
Author(s):  
Jair Gustavo de Mello Torres ◽  
Pedro Luiz de Oliveira Costa Neto

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