Commercial Product Returns

2022 ◽  
pp. 86-118
Author(s):  
Metehan Feridun Sorkun

The increasing use of online shopping has escalated product returns and consequently the importance of their management. In parallel, the increasing scholarly interest on the subject is reflected in the number of publications. In such fast-growing research fields, mapping the whole research activity is useful in highlighting research areas that could provide a better knowledge accumulation in the field. With this aim, this chapter conducts co-citation and co-word analysis to identify future research directions. According to results, there is a need for future research to investigate 1) the consumer reaction when the service level received conflicts with the retailer environment (un)friendly operations, 2) the impacts of retailer return policies on their reverse logistics management, 3) the implementation difficulties of handling omni-channel returns in different organizational structures, and 4) the effectiveness of technological tools and applications used to avoid returns. This chapter also discusses the implications of COVID-19 on the commercial product returns research.

2020 ◽  
Vol 12 (20) ◽  
pp. 8355
Author(s):  
Ying Zheng ◽  
Jingzhu Zhao ◽  
Guofan Shao

In recent years, with the development of society, the awareness of environmental protection for people has been increasing. While ports promote the economic development and employment levels of port cities, they also have a negative impact on the environment of port cities. The sustainability of port cities is increasingly valued. Port cities face huge challenges, and their sustainability needs to be better understood. The purpose of this article is to review research on the sustainability of port cities. We used content analysis to classify and analyze the existing relevant literature, to learn about the hotspots and deficiencies of past research, and to propose future research directions. We found that port sustainability has become an increasingly important research topic during the past ten years. From the perspective of geographic research areas, European port cities are the hot spots for sustainability research. Regarding research fields, technologies, methods and measures to promote the sustainability of port cities are popular research topics. In terms of research methods, qualitative research plays an important role in the study of port city sustainability. Finally, guidance for future research on port city sustainability is proposed according to the review results.


2020 ◽  
Vol 12 (19) ◽  
pp. 7975
Author(s):  
Sirong Chen ◽  
Rob Law ◽  
Shaogui Xu ◽  
Mu Zhang

With the advent of the fifth-generation mobile communication technology era, mobile technology will further change tourism. However, studies on mobile technology in tourism from the perspective of bibliometrics and visualization are limited. This research aimed to systematically, comprehensively, and objectively analyze the current research status and potential future research directions in this field through a visual bibliometric analysis of mobile technology research in tourism. This study used CiteSpace software to analyze 803 related journal papers from the Web of Science Core Collection and provided insights into the research of mobile technology in tourism from the aspects of research trends, research areas, top journals, author/institution/country or region collaboration networks, research keywords, and research foundations. The study can help related personnel in academia and industry to fully understand the research of mobile technology in tourism and provides valuable references for related research fields on bibliometric and visualized analysis.


2021 ◽  
Vol 11 (19) ◽  
pp. 8947
Author(s):  
María del Carmen Pérez-Peña ◽  
Mercedes Jiménez-García ◽  
Jose Ruiz-Chico ◽  
Antonio Rafael Peña-Sánchez

Since its adoption in September 2015, the 2030 Agenda has laid the foundations for a model of shared prosperity for a sustainable world. The current global pandemic highlights profound inequalities affecting our economies, health, and quality of life. For this reason, the aim of this study was to present the current state of scientific research related to inequality, poverty, and climate change, and to propose lines of improvement that can contribute to achieving three of the 17 SDGs (end poverty, SDG 1; reduce inequality, SDG 10; and climate action, SDG 13), proposed in the 2030 Agenda. For this purpose, we undertook a systematic literature review. The results show that the subject of poverty, inequality, and climate change has been little studied or articulated by researchers, and significant differences exist between the different areas studied. The highest number of publications (51.7%) is associated with topics related to sustainability—environment and economics. The remainder are distributed among 12 other research areas. Another relevant finding is that the effects of climate change are more pressing for more vulnerable populations, including impoverished women from rural areas and children from underdeveloped countries. This gender and social inequality has been rarely addressed in studies. Food security and energy poverty is another under-researched area. According to the results obtained in this work, we consider that the circular economy may improve these indicators, constituting a line of future research. Thus, one of the main objectives of this approach is to eliminate negative externalities, specifically the existing social inequalities within the current linear economy model.


2018 ◽  
Vol 63 ◽  
pp. 789-848 ◽  
Author(s):  
Stefan Lüdtke ◽  
Max Schröder ◽  
Frank Krüger ◽  
Sebastian Bader ◽  
Thomas Kirste

Tasks such as social network analysis, human behavior recognition, or modeling biochemical reactions, can be solved elegantly by using the probabilistic inference framework. However, standard probabilistic inference algorithms work at a propositional level, and thus cannot capture the symmetries and redundancies that are present in these tasks. Algorithms that exploit those symmetries have been devised in different research fields, for example by the lifted inference-, multiple object tracking-, and modeling and simulation-communities. The common idea, that we call state space abstraction, is to perform inference over compact representations of sets of symmetric states. Although they are concerned with a similar topic, the relationship between these approaches has not been investigated systematically. This survey provides the following contributions. We perform a systematic literature review to outline the state of the art in probabilistic inference methods exploiting symmetries. From an initial set of more than 4,000 papers, we identify 116 relevant papers. Furthermore, we provide new high-level categories that classify the approaches, based on common properties of the approaches. The research areas underlying each of the categories are introduced concisely. Researchers from different fields that are confronted with a state space explosion problem in a probabilistic system can use this classification to identify possible solutions. Finally, based on this conceptualization, we identify potentials for future research, as some relevant application domains are not addressed by current approaches.


Author(s):  
Danielly Oliveira Inomata ◽  
Mauricio Cordeiro Manhães ◽  
Bruna Devens Fraga ◽  
Gregorio Jean Varvakis Rados

Este artigo propõe um procedimento para a pesquisa bibliográfica, tendo como principal resultado o mapeamento da coocorrência de palavras com base em palavras-chave específicas. Este procedimento foi desenvolvido para identificar as principais áreas de pesquisa em campos onde as palavras têm significados complexos e, muitas vezes, estão em fase de interpretação pré-paradigmáticas. Como é o caso da palavra "serviço", que serve como ilustração para este artigo. O procedimento mapeia a coocorrência de palavras, e identifica as presenças fracas ou fortes de palavras específicas em relação à produção de literatura acadêmica. O procedimento proposto, combinado com o apoio de especialistas, identifica palavras solares, planetárias e satélites em relação a um campo de pesquisa acadêmica específico. Como resultado, ele cria um mapa de conhecimento da produção acadêmica nas áreas de pesquisa abordadas pelo procedimento proposto. Desse modo, ele corrobora alguns entendimentos encontrados na literatura no que diz respeito aos termos identificados na coocorrência, como no caso do termo “serviço”: ciência, gestão, engenharia e design. No entanto, os resultados acima mencionados apontam para a necessidade de mais pesquisas sobre o termo "inovação em serviço”, devido ao fato dele ter um índice menor de ocorrência, quando comparado a outros termos. Recomenda-se fazer, ao aplicar este procedimento em pesquisas futuras, a análise com base no tempo da produção acadêmica.AbstractThis paper proposes a procedure for literature research, having as its main result a mapping of the co-occurrence of words based on specific keywords. This procedure was developed to identify the main areas of research in research fields where the keywords have complex meanings and, often, are on pre-paradigmatic interpretation stages. As is the case of the word ‘service’ that serves as illustration for this article. The procedure maps the co-occurrence of words, which can identify both weak and strong presence of specific words on academic literature production. The proposed procedure, combined with the support of experts, enables to identify solar, planetary and satellites words in relation to a specific academic research field. As a result, it creates a conceptual map of academic production in the research areas focused by the proposed procedure. Thereby, it corroborated some understandings found in the literature in respect to the terms identified in the co-occurrence, as in the case of service: science, management, engineering and design. However, the aforementioned results pointed to the need of further research about the term ‘service innovation’, due to the fact that it had a smaller index of occurrence when compared to other terms. It is recommended to do, when applying this procedure in future research, a time-based analysis of the academic.KeywordsKnowledge. Scientific Literature. Service. Mapping. Coocurrence.


2020 ◽  
Vol 13 ◽  
Author(s):  
Gaurav Gaurav ◽  
Abhay Sharma ◽  
G S Dangayach ◽  
M L Meena

Background: Minimum quantity lubrication (MQL) is one of the most promising machining techniques that can yield a reduction in consumption of cutting fluid more than 90 % while ensuring the surface quality and tool life. The significance of the MQL in machining makes it imperative to consolidate and analyse the current direction and status of research in MQL. Objective: This study aims to assess global research publication trends and hot topics in the field of MQL among machining process. The bibliometric and descriptive analysis are the tools that the investigation aims to use for the data analysis of related literature collected from Scopus databases. Methods: Various performance parameters are extracted, such as document types and languages of publication, annual scientific production, total documents, total citations, and citations per article. The top 20 of the most relevant and productive sources, authors, affiliations, countries, word cloud, and word dynamics are assessed. The graphical visualisation of the bibliometric data is presented in terms of bibliographic coupling, citation, and co-citation network. Results: The investigation reveals that the International Journal of Machine Tools and Manufacture (2611 citations, 31 hindex) is the most productive journal that publishes on MQL. The most productive institution is the University of Michigan (32 publications), the most cited country is Germany (1879 citations), and the most productive country in MQL is China (124 publications). The study shows that ‘Cryogenic Machining’, ‘Sustainable Machining’, ‘Sustainability’, ‘Nanofluid’ and ‘Titanium alloy’ are the most recent keywords and indications of the hot topics and future research directions in the MQL field. Conclusion: The analysis finds that MQL is progressing in publications and the emerging with issues that are strongly associated with the research. This study is expected to help the researchers to find the most current research areas through the author’s keywords and future research directions in MQL and thereby expand their research interests.


Author(s):  
Ronald E. Rice ◽  
Simeon J. Yates ◽  
Jordana Blejmar

We conclude the Handbook of Digital Technology and Society by identifying topics that appear in multiple chapters, are more unique to some chapters, and that represent general themes across the material. Each of these is considered separately for the ESRC theme chapters and the non-ESRC chapters. In the ESRC theme chapters, cross-cutting research topics include digital divides and inequalities; data and digital literacy; governance, regulation, and legislation; and the roles and impacts of major platforms. Cross-cutting challenges include methods; theory development, testing, and evaluation; ethics; big data; and multi-platform/holistic studies. Gaps include policy implications, and digital culture. In the non-ESRC chapters, more cross-cutting themes include future research and methods; technology venues; relationships; content and creation; culture and everyday life; theory; and societal effects. More unique, these were digitization of self; managing digital experience; names for the digital/social era; ethics; user groups; civic issues; health, and positive effects. The chapter also shows how the non-ESRC chapters may be clustered together based on their shared themes and subthemes, identifying two general themes of more micro and more macro topics. The identification of both more and less common topics and themes can provide the basis for understanding the landscape of prior research, what areas need to be included in ongoing research, and what research areas might benefit from more attention. The chapter ends with some recommendations for such ongoing and future research in the rich, important, and challenging area of digital technology and society.


2021 ◽  
Author(s):  
Polona Caserman ◽  
Augusto Garcia-Agundez ◽  
Alvar Gámez Zerban ◽  
Stefan Göbel

AbstractCybersickness (CS) is a term used to refer to symptoms, such as nausea, headache, and dizziness that users experience during or after virtual reality immersion. Initially discovered in flight simulators, commercial virtual reality (VR) head-mounted displays (HMD) of the current generation also seem to cause CS, albeit in a different manner and severity. The goal of this work is to summarize recent literature on CS with modern HMDs, to determine the specificities and profile of immersive VR-caused CS, and to provide an outlook for future research areas. A systematic review was performed on the databases IEEE Xplore, PubMed, ACM, and Scopus from 2013 to 2019 and 49 publications were selected. A summarized text states how different VR HMDs impact CS, how the nature of movement in VR HMDs contributes to CS, and how we can use biosensors to detect CS. The results of the meta-analysis show that although current-generation VR HMDs cause significantly less CS ($$p<0.001$$ p < 0.001 ), some symptoms remain as intense. Further results show that the nature of movement and, in particular, sensory mismatch as well as perceived motion have been the leading cause of CS. We suggest an outlook on future research, including the use of galvanic skin response to evaluate CS in combination with the golden standard (Simulator Sickness Questionnaire, SSQ) as well as an update on the subjective evaluation scores of the SSQ.


2021 ◽  
pp. 0272989X2199662
Author(s):  
Tammy C. Hoffmann ◽  
Mina Bakhit ◽  
Marie-Anne Durand ◽  
Lilisbeth Perestelo-Pérez ◽  
Catherine Saunders ◽  
...  

Background Patients and clinicians expect the information in patient decision aids to be based on the best available research evidence. The objectives of this International Patient Decision Aid Standards (IPDAS) review were to 1) check the currency of, and where needed, update evidence for the domain of “basing the information in decision aids on comprehensive, critically appraised, and up-to-date syntheses of the evidence”; 2) analyze the evidence characteristics of decision aids; and 3) propose updates to relevant IPDAS criteria. Methods We searched MEDLINE and PubMed to inform updates of this domain’s definitions, justifications, and components. We also searched 5 sources to identify all publicly available decision aids ( N = 471). Two assessors independently extracted each aid’s evidence characteristics. Results Minor updates to the definitions and theoretical justifications of this IPDAS domain are provided and changes to relevant IPDAS criteria proposed. Nearly all aids (97%) provided a year of creation/update, but most (81%) did not report an explicit update or expiration policy. No scientific references were cited in 33% of aids. Of the 314 that cited at least 1 reference, 39% cited at least 1 guideline, 44% cited at least 1 systematic review, and 23% cited at least 1 randomized trial. In 35%, it was unclear what statement in the aid the citations referred to. Only 14% reported any of the processes used to find and decide on evidence inclusion. Only 14% reported the evidence quality. Many emerging issues and future research areas were identified. Conclusions Although many emerging issues need to be addressed, this IPDAS domain is validated and criteria refined. High-quality patient decision aids should be based on comprehensive and up-to-date syntheses of critically appraised evidence.


Sign in / Sign up

Export Citation Format

Share Document