Pub Date : 2023-10-18DOI: 10.1007/s11135-023-01753-1
Anna Malandrino
Abstract The literature that reflects on the application of Social Network Analysis (SNA) in combination with other methods is flourishing. However, there is a dearth of studies that compare qualitative and quantitative methods to complement structural SNA. This article addresses this gap by systematically discussing the advantages and disadvantages relating to the use of qualitative text analysis and interviewing as well as quantitative text mining and Natural Language Processing (NLP) techniques such as word frequency analysis, cluster analysis, topic modeling, and topic classification to understand policy networks. This method-oriented comparative study features two empirical studies that respectively examine the Employment Thematic Network, established under the aegis of the European Commission, and the intergovernmental cooperation network set up within the Bologna Process. The article compares and discusses the underlying research processes in terms of time, human resources, research resources, unobtrusiveness, and effectiveness toward the goal of telling meaningful stories about the examined networks in light of specific guiding hypotheses. In doing so, the paper nurtures the debate on mixed-methods research on social networks amidst the well-known paradigm war between qualitative and quantitative methods in network analysis.
{"title":"Comparing qualitative and quantitative text analysis methods in combination with document-based social network analysis to understand policy networks","authors":"Anna Malandrino","doi":"10.1007/s11135-023-01753-1","DOIUrl":"https://doi.org/10.1007/s11135-023-01753-1","url":null,"abstract":"Abstract The literature that reflects on the application of Social Network Analysis (SNA) in combination with other methods is flourishing. However, there is a dearth of studies that compare qualitative and quantitative methods to complement structural SNA. This article addresses this gap by systematically discussing the advantages and disadvantages relating to the use of qualitative text analysis and interviewing as well as quantitative text mining and Natural Language Processing (NLP) techniques such as word frequency analysis, cluster analysis, topic modeling, and topic classification to understand policy networks. This method-oriented comparative study features two empirical studies that respectively examine the Employment Thematic Network, established under the aegis of the European Commission, and the intergovernmental cooperation network set up within the Bologna Process. The article compares and discusses the underlying research processes in terms of time, human resources, research resources, unobtrusiveness, and effectiveness toward the goal of telling meaningful stories about the examined networks in light of specific guiding hypotheses. In doing so, the paper nurtures the debate on mixed-methods research on social networks amidst the well-known paradigm war between qualitative and quantitative methods in network analysis.","PeriodicalId":49649,"journal":{"name":"Quality & Quantity","volume":"70 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135883015","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-10-13DOI: 10.1007/s11135-023-01762-0
Artur Roland Kozlowski
Abstract The effects of war have far-reaching consequences. They bring numerous victims—also civilians, destruction of infrastructure, enterprises, and citizens’ property. They cause political instability and lead to great security concerns, especially in tourist destinations. Experience with various wars indicates a minimum three-year negative effect of warfare on the tourism industry. The terrorist industry is also negatively affected by terrorism, which can occur regardless of the duration of the war itself. Terrorist attacks are deliberately organized in such a way as to evoke images of human victims, which affects the fear of tourist arrivals to such heavily burdened places. The paper discusses potential scenarios for the continuation of the war and its impact on the operational activity of international business with Russia. Russia’s unprovoked war against Ukraine brings closer the threat of war itself and shock to various industries, including the tourism industry. The paper presents the effects of the war on tourist trips from Russia but also Ukraine and its effects on traditional touristic destinations. Issues of threats to business are raised but also opportunities appearing on the horizon. The visa ban for Russians introduced by the EU with the simultaneous escalating and ruthless Russian attacks on Ukrainian civilians does not inspire optimism. It should be expected that the 2023 tourist season will remain burdened with the stigma of war and the limited movement of Russians around Europe.
{"title":"The war and tourism: security issues and business opportunities in shadow of Russian war against Ukraine","authors":"Artur Roland Kozlowski","doi":"10.1007/s11135-023-01762-0","DOIUrl":"https://doi.org/10.1007/s11135-023-01762-0","url":null,"abstract":"Abstract The effects of war have far-reaching consequences. They bring numerous victims—also civilians, destruction of infrastructure, enterprises, and citizens’ property. They cause political instability and lead to great security concerns, especially in tourist destinations. Experience with various wars indicates a minimum three-year negative effect of warfare on the tourism industry. The terrorist industry is also negatively affected by terrorism, which can occur regardless of the duration of the war itself. Terrorist attacks are deliberately organized in such a way as to evoke images of human victims, which affects the fear of tourist arrivals to such heavily burdened places. The paper discusses potential scenarios for the continuation of the war and its impact on the operational activity of international business with Russia. Russia’s unprovoked war against Ukraine brings closer the threat of war itself and shock to various industries, including the tourism industry. The paper presents the effects of the war on tourist trips from Russia but also Ukraine and its effects on traditional touristic destinations. Issues of threats to business are raised but also opportunities appearing on the horizon. The visa ban for Russians introduced by the EU with the simultaneous escalating and ruthless Russian attacks on Ukrainian civilians does not inspire optimism. It should be expected that the 2023 tourist season will remain burdened with the stigma of war and the limited movement of Russians around Europe.","PeriodicalId":49649,"journal":{"name":"Quality & Quantity","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135854000","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-10-13DOI: 10.1007/s11135-023-01754-0
Aamir Aijaz Syed, Assad Ullah, Muhammad Abdul Kamal
{"title":"Impact of COVID-19 and lockdown stringency on foreign institutional investment in India: evidence from wavelet coherence and spectral causality approaches","authors":"Aamir Aijaz Syed, Assad Ullah, Muhammad Abdul Kamal","doi":"10.1007/s11135-023-01754-0","DOIUrl":"https://doi.org/10.1007/s11135-023-01754-0","url":null,"abstract":"","PeriodicalId":49649,"journal":{"name":"Quality & Quantity","volume":"144 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135854018","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-10-13DOI: 10.1007/s11135-023-01767-9
Ilan Shdema, Moshe Sharabi, Doaa Manadreh, Galit Yanay-Ventura
{"title":"Religiosity and labour market attainments of muslim-arab women in Israel","authors":"Ilan Shdema, Moshe Sharabi, Doaa Manadreh, Galit Yanay-Ventura","doi":"10.1007/s11135-023-01767-9","DOIUrl":"https://doi.org/10.1007/s11135-023-01767-9","url":null,"abstract":"","PeriodicalId":49649,"journal":{"name":"Quality & Quantity","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135853722","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-10-10DOI: 10.1007/s11135-023-01757-x
Eleonora Mussino, Bruno Santos, Andrea Monti, Eleni Matechou, Sven Drefahl
Abstract The growing necessity for evidence-based policy built on rigorous research has never been greater. However, the ability of researchers to provide such evidence is invariably tied to the availability of high-quality data. Bias stemming from over-coverage in official population registers, i.e. resident individuals whose death or emigration is not registered, can lead to serious implications for policymaking and research. Using Swedish Population registers and the statistical framework of multiple systems estimation, we estimate the extent of over-coverage among foreign-born individuals’ resident in Sweden for the period 2003–2016. Our study reveals that, although over-coverage is low during this period in Sweden, we observed a distinct heterogeneity in over-coverage across various sub-populations, suggesting significant variations among them. We also evaluated the implications of omitting each of the considered registers on real data and simulated data, and highlight the potential bias introduced when the omitted register interacts with the included registers. Our paper underscores the broad applicability of multiple systems estimation in addressing and mitigating bias from over-coverage in scenarios involving incomplete but overlapping population registers.
{"title":"Multiple systems estimation for studying over-coverage and its heterogeneity in population registers","authors":"Eleonora Mussino, Bruno Santos, Andrea Monti, Eleni Matechou, Sven Drefahl","doi":"10.1007/s11135-023-01757-x","DOIUrl":"https://doi.org/10.1007/s11135-023-01757-x","url":null,"abstract":"Abstract The growing necessity for evidence-based policy built on rigorous research has never been greater. However, the ability of researchers to provide such evidence is invariably tied to the availability of high-quality data. Bias stemming from over-coverage in official population registers, i.e. resident individuals whose death or emigration is not registered, can lead to serious implications for policymaking and research. Using Swedish Population registers and the statistical framework of multiple systems estimation, we estimate the extent of over-coverage among foreign-born individuals’ resident in Sweden for the period 2003–2016. Our study reveals that, although over-coverage is low during this period in Sweden, we observed a distinct heterogeneity in over-coverage across various sub-populations, suggesting significant variations among them. We also evaluated the implications of omitting each of the considered registers on real data and simulated data, and highlight the potential bias introduced when the omitted register interacts with the included registers. Our paper underscores the broad applicability of multiple systems estimation in addressing and mitigating bias from over-coverage in scenarios involving incomplete but overlapping population registers.","PeriodicalId":49649,"journal":{"name":"Quality & Quantity","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136296278","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-10-07DOI: 10.1007/s11135-023-01752-2
Ruíz Gándara África, M. Rosario González-Rodríguez, M. Carmen Díaz-Fernández
Abstract This research is based on the cognitive-affective-conative model applied to the online reviews posted by visitors of a tourist attraction titled “Van Gogh: The Immersive Experience” held in York (UK). The goals of the study specifically focus on the identification of the cognitive features triggered using the VR device and on the understanding of sentiments and emotions activated by the VR experience. To this end, Text mining and Sentiment analysis have been utilised. This work extends prior studies on VR based on surveys by providing a comprehensive hybrid view of how knowledge is derived from the posted online reviews. The findings offer practitioner insights into the cognitive and affective aspect of the VR experience, which requires special attention for its adaptation so that it continues meeting visitors’ expectations.
{"title":"Salient features and emotions elicited from a virtual reality experience: the immersive Van Gogh exhibition","authors":"Ruíz Gándara África, M. Rosario González-Rodríguez, M. Carmen Díaz-Fernández","doi":"10.1007/s11135-023-01752-2","DOIUrl":"https://doi.org/10.1007/s11135-023-01752-2","url":null,"abstract":"Abstract This research is based on the cognitive-affective-conative model applied to the online reviews posted by visitors of a tourist attraction titled “Van Gogh: The Immersive Experience” held in York (UK). The goals of the study specifically focus on the identification of the cognitive features triggered using the VR device and on the understanding of sentiments and emotions activated by the VR experience. To this end, Text mining and Sentiment analysis have been utilised. This work extends prior studies on VR based on surveys by providing a comprehensive hybrid view of how knowledge is derived from the posted online reviews. The findings offer practitioner insights into the cognitive and affective aspect of the VR experience, which requires special attention for its adaptation so that it continues meeting visitors’ expectations.","PeriodicalId":49649,"journal":{"name":"Quality & Quantity","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135253579","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-10-04DOI: 10.1007/s11135-023-01728-2
Ana Debon, Steven Haberman, Gabriella Piscopo
{"title":"Multipopulation mortality analysis: bringing out the unobservable with latent clustering","authors":"Ana Debon, Steven Haberman, Gabriella Piscopo","doi":"10.1007/s11135-023-01728-2","DOIUrl":"https://doi.org/10.1007/s11135-023-01728-2","url":null,"abstract":"","PeriodicalId":49649,"journal":{"name":"Quality & Quantity","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135590840","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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