scholarly journals Comprehensive review and classification of game analytics

2020 ◽  
Author(s):  
Yanhui Su ◽  
Per Backlund ◽  
Henrik Engström
Keyword(s):  
Value Chain ◽  
Future Research ◽  
Research Areas ◽  
Player Experience ◽  
Game Value ◽  
Game Industry ◽  
Further Development ◽  
Traditional Game ◽  
Game Analytics

Abstract As a business model, the essence of games is to provide a service to satisfy the player experience. From a business perspective, development in the game industry has led to the application of Business Intelligence (BI) becoming more and more extensive. However, related research lacks systematic examination and precise classification. This paper provides a comprehensive literature review of BI used in the game industry, focusing primarily on game analytics. This research mainly studies and discusses five aspects. First, we explore game analytics aspects in the available literature based on the traditional game value chain. Second, we find out the main purposes of using analytics in the game industry. Third, we present the problems or challenges in the game area, which can be addressed by using game analytics. Fourth, we also list different algorithms that have been used in game analytics for prediction. Finally, we summarize the research areas that have already been covered in literature but need further development. Based on the categories established after the mapping and the review findings, we also discuss the limitations of game analytics and propose potential research points for future research.

A Taxonomy for Psycho-Oncological Intervention Techniques in an Acute Care Hospital in Germany

2021 ◽  
pp. 1-7
Author(s):  
Martina Madl ◽  
Marietta Lieb ◽  
Katharina Schieber ◽  
Tobias Hepp ◽  
Yesim Erim
Keyword(s):  
Acute Care ◽  
Interrater Reliability ◽  
Acute Care Hospital ◽  
Future Research ◽  
Systematic Research ◽  
Care Hospital ◽  
Certification System ◽  
Stepwise Procedure ◽  
Further Development

<b><i>Background:</i></b> Due to the establishment of a nationwide certification system for cancer centers in Germany, the availability of psycho-oncological services for cancer patients has increased substantially. However, little is known about the specific intervention techniques that are applied during sessions in an acute care hospital, since a standardized taxonomy is lacking. With this study, we aimed at the investigation of psycho-oncological intervention techniques and the development of a comprehensive and structured taxonomy thereof. <b><i>Methods:</i></b> In a stepwise procedure, a team of psycho-oncologists generated a data pool of interventions and definitions that were tested in clinical practice during a pilot phase. After an adaptation of intervention techniques, interrater reliability (IRR) was attained by rating 10 previously recorded psycho-oncological sessions. A classification of interventions into superordinate categories was performed, supported by cluster analysis. <b><i>Results:</i></b> Between April and June 2017, 980 psycho-oncological sessions took place. The experts agreed on a total number of 22 intervention techniques. An IRR of 89% for 2 independent psycho-oncological raters was reached. The 22 techniques were classified into 5 superordinate categories. <b><i>Discussion/Conclusion:</i></b> We developed a comprehensive and structured taxonomy of psycho-oncological intervention techniques in an acute care hospital that provides a standardized basis for systematic research and applied care. We expect our work to be continuously subjected to further development: future research should evaluate and expand our taxonomy to other contexts and care settings.

scholarly journals Interconnecting Product and Manufacturing Domains: A Literature Review

2020 ◽  
Author(s):  
Paraskeva Wlazlak ◽  
Ann-Louise Andersen ◽  
Dag Raudberget
Keyword(s):  
Conference Proceedings ◽  
Literature Review ◽  
Research Area ◽  
Process Modelling ◽  
Process Models ◽  
Future Research ◽  
Research Areas ◽  
Classification Framework ◽  
The Creation

Research on product-process modelling has been significant over the last decade. In this paper, we present a literature review of 13 papers published in journals and conference proceedings between 2012–2019. The purpose of this paper is to review and classify the literature on integrated product-process modelling utilizing ontologies. Specifically, the objectives of the paper are; (1) to develop a classification framework that is based on the existing research on integrated product-process modelling; (2) to use the classification framework to synthesize what is known in this research area (qualitative issues that have been raised that are useful for both researchers and practitioners); (3) to use the classification framework to propose future avenues in this research area. The classification framework consists of three major categories; namely, (1) integrated product-process model’s application; (2) approaches to modelling; and (3) practical challenges for implementation of integrated product-process models. The classification of the published literature and the analysis provides insights for practitioners and researchers on the creation and accumulation of knowledge in the product-process modelling area and interconnecting of product and manufacturing domains. This paper is intended to highlight the importance of integrated product-process models utilizing ontologies and identify areas for future research areas.

scholarly journals Framework of Last Mile Logistics Research: A Systematic Review of the Literature

2019 ◽  
Vol 11 (24) ◽  
pp. 7131 ◽  
Author(s):  
John Olsson ◽  
Daniel Hellström ◽  
Henrik Pålsson
Keyword(s):  
Systematic Review ◽  
Research Area ◽  
Future Research ◽  
Emerging Trends ◽  
Operational Optimization ◽  
Last Mile ◽  
Academic Publications ◽  
Last Mile Delivery ◽  
Further Development

Coincident with the rapid growth of omni-channel retailing, growing urbanization, changing consumer behavior, and increasing focus on sustainability, academic interest in the area of last mile logistics has significantly increased. The growth in academic publications has been tremendous, with three out of four articles appearing within the past five years. The influx of research spans multiple disciplines and various methodologies, underlining the complexity and fragmentation of last mile logistics research, which leads to a lack of unity in the understanding of the concept. We provide a systematic review and classification of the literature to provide a more coherent view of last mile logistics research. The review covers 155 peer-reviewed journal publications focusing on last mile logistics. Findings demonstrate that the literature embraces a diversity of aspects and facets that are classified into five themes: emerging trends and technologies, operational optimization, supply chain structures, performance measurement, and policy. Further, we propose a framework of last mile logistics literature that comprises five components and their interrelationships, namely, last mile logistics, last mile distribution, last mile fulfillment, last mile transport, and last mile delivery. The results provide a foundation for further development of this research area by proposing avenues for future research.

scholarly journals A Survey of the State of Research on Augmented Reality from a Business Perspective using Porter’s Value Chain

2021 ◽  
Vol 3 (2) ◽  
pp. 140-149
Author(s):  
Marco Klaiber ◽  
Jonas Klopfer
Keyword(s):  
Augmented Reality ◽  
Value Chain ◽  
The State ◽  
Future Research ◽  
Comprehensive Overview ◽  
Business Perspective ◽  
State Of Research ◽  
Future Work ◽  
Further Development ◽  
A Company

In recent years, augmented reality (AR) technology has been able to demonstrate more and more impressively the potential it brings for companies and their valueadding activities, and this even though acceptance of the technology in society is only just beginning. Due to this, our work aims to bring a comprehensive overview of AR deployment opportunities based on the value chain, forcing a symbiosis of potential demonstration and acceptance promotion. For our investigation, we consider the most important peer-reviewed papers on the state of research on augmented reality from a business perspective and provide a comprehensive overview of the different possible uses of AR within a company, structured according to Porter’s value chain, as well as an outlook on future research on the expansion and further development of AR systems. Based on this, we formulate research gaps for future work on AR in the context presented.

scholarly journals New Puppets in the Old School: The Applicability of Traditional Internationalisation Theories in the Sharing Economy

2021 ◽  
Vol 11 (3) ◽  
pp. 98
Author(s):  
Cristina Pérez-Pérez ◽  
Diana Benito-Osorio ◽  
Susana María García-Moreno
Keyword(s):  
At Risk ◽  
Literature Review ◽  
Systematic Literature Review ◽  
Explanatory Power ◽  
Sharing Economy ◽  
Theoretical Background ◽  
Future Research ◽  
The Creation ◽  
Further Development

Sharing Economy platforms have expanded their operations all around the globe at an unexpected rate. Due to its “asset-lite” nature, traditional internationalisation theories may not be able to fully explain or predict their expansion patterns. This lack of theoretical background puts at risk the phenomenon’s future and stops traditional companies from coming up with a solid plan to compete against platforms. To ease the creation of a Sharing Economy internationalisation paradigm, this paper intends to review the existing research regarding the internationalisation of sharing platforms as well as the applicability of existing theories. Through a systematic literature review, the existing research was reviewed, and afterwards, internationalisation theories and their distinct factors extracted were noted to address the applicability of these within the singularities of the sharing phenomenon. This classification of factors was done according to the exiting literature in the field. After this research, we can confirm the lack of explanatory power of traditional theories regarding sharing platforms and confirm the insufficient research regarding these operations. We propose a list of factors that should be considered for future research as a guideline for the further development of the Sharing Economy internationalisation theory. Additionally, the factors classification is tested upon the case of the internationalisation of Blablacar, the most extensive carpooling network operating, to check if the theoretical and the practical approaches converge.

scholarly journals Measuring innovation capacity in the agrifood sector: from single companies to value chains

2010 ◽  
Vol 10 (3) ◽  
pp. 145-157 ◽  
Author(s):  
Bianka Kühne ◽  
Virginie Lefebvre ◽  
Bert Vermeire ◽  
Xavier Gellynck
Keyword(s):  
Value Chain ◽  
Value Chains ◽  
Future Research ◽  
Innovation Measurement ◽  
Innovation Capacity ◽  
Further Development

This paper proposes an approach for measuring innovation in the agrifood sector. First we develop a concept of innovation taking into account its multiform, complex and embedded character. We then we evaluate the validity of the concept by applying it to single firms and value chains in the agrifood sector. This reveals that the concept works well both at firm and value chain levels. This paper provides the basis for future research in the field of innovation measurement at firm and value chain levels, providing also important implications for the further development of the proposed approach. We encourage other scholars to test the applicability of our approach to other sectors.

scholarly journals Biotech value chain and technologies for COVID-19 research areas for collaboration on cost quality tradeoff with tool companies

2021 ◽  
pp. 1-4
Author(s):  
Christine C. Huttin
Keyword(s):  
Quality Assurance ◽  
Value Chain ◽  
Future Research ◽  
Academic Communities ◽  
Research Areas ◽  
Future Research Agenda ◽  
Genomic Technologies ◽  
Trade Offs ◽  
Survey Instruments ◽  
Mrna Technology

BACKGROUND: Technologies for COVID-19 are in high demand, and supply chains from biotech and pharma industries face critical supply issues. OBJECTIVE: This paper discusses the case on mRNA technologies and quality assurance issues. METHODS: Interviews with managers of biotech companies were performed. These helped to prepare biotech panels at a roundtable on quality of medicine, organized by the Polish Academy of Sciences in Paris (PAN) in 2021. RESULTS: This paper analyzes the new mRNA technology and shows the importance of emerging new biotech firms, especially tool companies providing services in quality assurance. It highlights research areas and types of survey instruments with academic collaborators, to better understand the economics of mRNA technology platforms. CONCLUSIONS: A future research agenda for collaboration with academic communities is proposed on cost-quality trade-offs and clinical quality attributes for such genomic technologies.

A Study of the Cloud Computing Adoption Issues and Challenges

2020 ◽  
Vol 13 (3) ◽  
pp. 313-318 ◽  
Author(s):  
Dhanapal Angamuthu ◽  
Nithyanandam Pandian
Keyword(s):  
Cloud Computing ◽  
High Performance ◽  
Cloud Service ◽  
Ease Of Use ◽  
Modern Trend ◽  
Security Issues ◽  
Research Areas ◽  
Data Location ◽  
Broad Classification

<P>Background: The cloud computing is the modern trend in high-performance computing. Cloud computing becomes very popular due to its characteristic of available anywhere, elasticity, ease of use, cost-effectiveness, etc. Though the cloud grants various benefits, it has associated issues and challenges to prevent the organizations to adopt the cloud. </P><P> Objective: The objective of this paper is to cover the several perspectives of Cloud Computing. This includes a basic definition of cloud, classification of the cloud based on Delivery and Deployment Model. The broad classification of the issues and challenges faced by the organization to adopt the cloud computing model are explored. Examples for the broad classification are Data Related issues in the cloud, Service availability related issues in cloud, etc. The detailed sub-classifications of each of the issues and challenges discussed. The example sub-classification of the Data Related issues in cloud shall be further classified into Data Security issues, Data Integrity issue, Data location issue, Multitenancy issues, etc. This paper also covers the typical problem of vendor lock-in issue. This article analyzed and described the various possible unique insider attacks in the cloud environment. </P><P> Results: The guideline and recommendations for the different issues and challenges are discussed. The most importantly the potential research areas in the cloud domain are explored. </P><P> Conclusion: This paper discussed the details on cloud computing, classifications and the several issues and challenges faced in adopting the cloud. The guideline and recommendations for issues and challenges are covered. The potential research areas in the cloud domain are captured. This helps the researchers, academicians and industries to focus and address the current challenges faced by the customers.</P>

A Review of Minimum Quantity Lubrication (MQL) based on Bibliometry

2020 ◽  
Vol 13 ◽  
Author(s):  
Gaurav Gaurav ◽  
Abhay Sharma ◽  
G S Dangayach ◽  
M L Meena
Keyword(s):  
Descriptive Analysis ◽  
Minimum Quantity Lubrication ◽  
Citation Network ◽  
Machining Process ◽  
Cutting Fluid ◽  
Future Research ◽  
Research Directions ◽  
Minimum Quantity ◽  
Research Areas ◽  
Future Research Directions

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.

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