A systematic literature review of ‘empathy’ and ‘games’

2021 ◽  
Vol 13 (2) ◽  
pp. 195-214 ◽  
Author(s):  
Karen Schrier ◽  
Matthew Farber

Scholarship on the intersection of games and empathy is limited. However, over the past decade peer-reviewed articles have started to be published in this area. This study investigates this emerging scholarship on empathy and games to understand how researchers are describing, defining and communicating their work. For example, how are research articles about games defining empathy? From which disciplines are the researchers framing their studies? Which types of games are being used in the investigations? Forty-nine articles were found, coded and analysed by searching six different databases. For this investigation, each article was analysed based on the discipline, keyword(s) used to find the article, definition(s) of empathy used, types of games used in the article and the themes used in the article. Articles emerged from twelve different disciplines and described over thirteen different types of empathy. Findings were shared, as well as recommendations for researchers studying this area.

Author(s):  
Norin Arshed ◽  
Mike Dansen

It is important to demonstrate and critically analyse your understanding of the literature within your chosen field of study or research. The chapter highlights the different types of literature reviews: the traditional literature review versus the systematic literature review. The literature review is often essential in establishing what is known about a subject area, and by association what is not yet known, allowing you to understand and explore gaps in knowledge by appraising, encapsulating, comparing, contrasting, and correlating scholarly books, research articles, reports and various other sources of information. This chapter provides guidance on undertaking a literature review by highlighting the key stages of the process: selecting a topic, searching the literature, reading and reviewing the literature, critiquing the literature, evaluating the literature, and finally writing the literature review. The aim of this chapter is to offer a clear, concise and structured way of undertaking a literature review to establish your theoretical framework and methodological focus.


2021 ◽  
pp. 097215092098485
Author(s):  
Sonika Gupta ◽  
Sushil Kumar Mehta

Data mining techniques have proven quite effective not only in detecting financial statement frauds but also in discovering other financial crimes, such as credit card frauds, loan and security frauds, corporate frauds, bank and insurance frauds, etc. Classification of data mining techniques, in recent years, has been accepted as one of the most credible methodologies for the detection of symptoms of financial statement frauds through scanning the published financial statements of companies. The retrieved literature that has used data mining classification techniques can be broadly categorized on the basis of the type of technique applied, as statistical techniques and machine learning techniques. The biggest challenge in executing the classification process using data mining techniques lies in collecting the data sample of fraudulent companies and mapping the sample of fraudulent companies against non-fraudulent companies. In this article, a systematic literature review (SLR) of studies from the area of financial statement fraud detection has been conducted. The review has considered research articles published between 1995 and 2020. Further, a meta-analysis has been performed to establish the effect of data sample mapping of fraudulent companies against non-fraudulent companies on the classification methods through comparing the overall classification accuracy reported in the literature. The retrieved literature indicates that a fraudulent sample can either be equally paired with non-fraudulent sample (1:1 data mapping) or be unequally mapped using 1:many ratio to increase the sample size proportionally. Based on the meta-analysis of the research articles, it can be concluded that machine learning approaches, in comparison to statistical approaches, can achieve better classification accuracy, particularly when the availability of sample data is low. High classification accuracy can be obtained with even a 1:1 mapping data set using machine learning classification approaches.


2020 ◽  
Vol 1 (1) ◽  
pp. 30-47
Author(s):  
Muhammad Imran Qureshi ◽  
Nohman Khan

The recent deadly outbreak of Novel Coronavirus (2019-COVID) accompanying human to human spread caused severe human infections.  COVID19 initially encountered at the city of Wuhan in Hubei province in China.  It spread rapidly, and the number of infected people, as well as fatality ratio, increased drastically around the globe. This study aims to identify the historical background of the coronavirus family that is already affected the civilization and animals. This study overviewed the overall literature published on the Coronavirus. The Scopus database is selected to analyse the published literature. The research methodology followed a strict screening process recommended in the PRISMA statement framework (2015) for the screening and quality assessment of systematic literature review. Final 41 studies were included for the systematic literature review. A systematic review of the past literature identified severe acute respiratory syndrome coronavirus (SARS), Middle East Respiratory Syndrome Coronavirus (MERS), bovine Coronavirus, canine Coronavirus and feline Coronavirus are the significant classifications of Coronavirus family discuss in the literature. This study contributes to the literature by providing an elaboration of detailed mapping of the existing literature on the reviews of Coronavirus pandemic that is a more significant challenge for humanity in the current circumstances. Finally, the future of the world after the 2019-COVID is more challenging and vital for understanding in terms of economic and social perspective. Social structures will change the current situation is showing based on literature and reports. The economic recession will be prolonged if the researchers are not able to find the solution for the Coronavirus.


2020 ◽  
pp. 146144482095929 ◽  
Author(s):  
Eleni Kapantai ◽  
Androniki Christopoulou ◽  
Christos Berberidis ◽  
Vassilios Peristeras

The scale, volume, and distribution speed of disinformation raise concerns in governments, businesses, and citizens. To respond effectively to this problem, we first need to disambiguate, understand, and clearly define the phenomenon. Our online information landscape is characterized by a variety of different types of false information. There is no commonly agreed typology framework, specific categorization criteria, and explicit definitions as a basis to assist the further investigation of the area. Our work is focused on filling this need. Our contribution is twofold. First, we collect the various implicit and explicit disinformation typologies proposed by scholars. We consolidate the findings following certain design principles to articulate an all-inclusive disinformation typology. Second, we propose three independent dimensions with controlled values per dimension as categorization criteria for all types of disinformation. The taxonomy can promote and support further multidisciplinary research to analyze the special characteristics of the identified disinformation types.


2019 ◽  
Vol 116 ◽  
pp. 58-77 ◽  
Author(s):  
Maria Camila Suarez-Paba ◽  
Mathis Perreur ◽  
Felipe Munoz ◽  
Ana Maria Cruz

2014 ◽  
Vol 19 (5/6) ◽  
pp. 523-557 ◽  
Author(s):  
Muhammad Mustafa Kamal ◽  
Zahir Irani

Purpose – This paper aims to focus on systematically analysing and synthesising the extant research published on supply chain integration (SCI) area, given the significance of SCI research area. More specifically, the authors aim to answer three questions: “Q1 – What are the factors (e.g. both driving and inhibiting) that influence SCI?”, “Q2 – What are the key developments (e.g. both in research and industry) in SCI area?” and “Q3 – What are the approaches employed/discussed to integrate supply chains?”. Over the past decade, SCI has gained increasing attention in the supply chain management (SCM) context, both from the practitioners’ perspective and as a research area. In realising the global transformations and competitive business environment, a number of organisations are collaborating with their supply chain (SC) partners, to conduct seamless SC operations. Design/methodology/approach – A systematic and structured literature review is carried out to observe and understand the past trends and extant patterns/themes in the SCI research area, evaluate contributions and summarise knowledge, thereby identifying limitations, implications and potential directions of further research. Thus, to trace the implementation of SCI practices, a profiling approach is used to analyse 293 articles (published in English-speaking peer-reviewed journals between 2000 and 2013) extracted from the Scopus database. The Systematic Review Approach proposed by Tranfield et al. (2003) was followed to analyse and synthesise the extant literature on SCI area. Findings – The analysis presented in this paper has identified relevant SCI research studies that have contributed to the development and accumulation of intellectual wealth to the SCI and SCM area. Each of the 293 papers was examined for achieving the aim and objectives of the research, the method of data collection, the data analysis method and quality measures. While some of the papers provided information on all of these categories, most of them failed to provide all the information, especially for Q2 and Q3 that resulted in 23 and 21 papers, respectively. Research limitations/implications – This study would have benefited from the analysis of further journals; however, the analysis of 293 articles from leading journals in the field of operations and SCM was deemed sufficient in scope. Moreover, this research has implications for researchers, journal editors, practitioners, universities and research institutions. It is likely to form the basis and motivation for profiling other database resources and specific operations and SCM-type journals in this area. Practical implications – This systematic literature review highlights a taxonomy of contextual factors driving and inhibiting SCI for researchers and SC practitioners to refer to while researching or implementing SCI. It also exemplifies some areas for future research, along with the need for researchers to focus on developing more practical techniques for implementing SCI and improving organisational performance. Originality/value – The prime value and uniqueness of this paper lies in analysing and compiling the existing published material in relation to Q1, Q2 and Q3, including examining other variables (such as yearly publications, geographic location of each publication, type of publication, type of research methods used), which lacks in the recent published five SCI literature review-based articles (by Kim, 2013; Leuschner et al., 2013; Alfalla-Luque et al., 2013; Parente et al., 2008; Fabbe-Costes and Jahre, 2007). This has been achieved by extracting and synthesising existing publications using “Supply Chain Integration” keyword. This paper provides a critique of the conceptual and empirical works in SCI discipline and offers research agendas that can stimulate future researchers to carefully explore the topic.


2021 ◽  
Vol 6 (4) ◽  
pp. 287-296
Author(s):  
Belvinna Kaur Ajaib Singh ◽  
Azlina Abdul Aziz

This paper presents a systematic literature review of relevant published studies on integrating Facebook as a platform of discussion in the ESL classroom. The published studies are taken from the year of 2011 to 2019. The systematic literature review gives an overview about the positive impact of using Facebook as a platform of discussion for the ESL learners and the benefits of applying multimodality in teaching the ESL learners. The paper also investigates the challenges faced in integrating Facebook into the teaching and learning. The results of most published papers indicate that learners and educators are comfortable with the presence of Facebook as a platform of discussion and provides a positive feedback for the future ESL learners and educators to implement Facebook. The past studies indicate that Facebook plays a role in motivating the learners and promotes blended learning in improving the learner’s English language skills. The past studies also specify the challenges faced by both learners and educators in using Facebook. The limitations of past related studies and future directions for research were being further discussed.


2021 ◽  
Vol 12 ◽  
Author(s):  
Esraa Al-Shatti ◽  
Marc Ohana

Despite the popularity of the term impression management (IM) in the literature, there is no consensus as how different types of IM (direct vs. indirect) and modes of interaction (face-to-face vs. online) promote career-related outcomes. While most empirical studies focus on direct IM, individuals engage in both types of IM and interaction modes, particularly indirect IM in the online context. Indeed, recent developments suggest that online interactions now prevail over face-to-face interactions, especially during the COVID-19 pandemic. Accordingly, this study presents the first systematic literature review that differentiates between types of IM (direct vs. indirect) and modes of interaction (face-to-face vs. online) in a career development perspective. The review shows that direct IM is more widely studied in the face-to-face than online interaction mode, while indirect IM is neglected in both interaction modes. This study thus provides evidence of the need to investigate and differentiate between the different types of IM and interaction modes for career-related outcomes, highlighting some research gaps and directions for future inquiry.


Author(s):  
Nohman Khan ◽  
Muhammad Imran Qureshi

<p>The aim of the study reviews online medical services in Malaysia. The paper reviews the improvement in Malaysian Medical services in the past five years. In this paper, we systematically reviewed literature from the year 2014 to 2018. We selected the web of science database for the literature search to make the process more transparent and clearer, every process is recorded on the excel sheets and all studies were screened through rigorous inclusion and exclusion criteria. Final 48 papers were selected for this systematic literature review and all irrelevant papers are excluded from the study. For the selection and exclusion process, PRISMA 2009 is used. The results revealed that Literature is heavily focusing on the medical services towards the urban areas, but rural areas were largely neglected. Many studies are discussing the importance of online medical services; However, implementation mechanisms have not been discussed. The systematic review recommends that future research should be focused more on holistic patterns of implementations of the online medical services in Malaysia.</p>


Author(s):  
ZAKARIYA AL-MASHHADANI ◽  
RUA A. NASER ◽  
MUNAF H. ZALZALA

Rapid development has achieved in treating tumor to stop malignant cell growth and metastasis in the past decade. Numerous researches have emerged to increase potency and efficacy with novel methods for drug delivery. The main objective of this literature review was to illustrate the impact of current new targeting methods to other previous delivering systems to select the most appropriate method in cancer therapy. This review first gave a brief summary of cancer structure and highlighted the main roles of targeting systems. Different types of delivering systems have been addressed in this literature review with focusing on the latest carrier derived from malarial protein. The remarkable advantages and main limitations of the later have been also discussed. PubMed and Science Direct were the main search engines that have been used as information sources to prepare this review. Articles related to cancer targeting system, active and passive processes, current nanoparticles, antibody carriers, and current novel cancer carriers were used as sources in this review. Important points from many references published in the last decade (2008-2018) were selected and included. Several targeting methods were introduced to enhance the efficacy and tolerability of the toxic drug by active and passive processes, but there is still no conclusive carrier without certain drawbacks. A combination of targeting methods probably shows the most appropriate choice for increasing selectivity and safety of anticancer drugs via reducing the concentration of carriers used.


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