The Parish as the “Missing Middle” Unit of Analysis in Catholic Studies

2018 ◽  
Vol 129 (1) ◽  
pp. 21-26 ◽  
Author(s):  
Carol Ann MacGregor
AKADEMIKA ◽  
2015 ◽  
Vol 9 (2) ◽  
pp. 189-201
Author(s):  
Ahmad Ubaidillah

Islamic economics as a doctrine recognized in Islam and a science Islamization project in the 21st century has shown astonishing progress.Throughout the history, there have been many Islamic-based financial institutions. On this stand, various higher education institutions have competed to launch such majors as Islamic economics and Islamic finance. However, there have been many criticizing, especially the geneology of the term "Islamic economics."This study aims to answer the questions: 1) when does the term "Islamic economics" appear according to Timur Kuran, the pioneer of Alternative-Critical School? 2), when does the term "Islamic economics" appear according to the Mainstream School in Islamic economics thought? This research is qualitative-descriptive while the unit of analysis is thematic one. In addition, the analysis technique used is taxonomy and critical discourse analysis. The source of data in this study is primary and secondary ones. The result of the research shows: 1) According to Alternative-Critical School, the genealogy of the term "Islamic economics" emerged in the 1940s at the end of colonial India. The term is first coined by Abu al-A'la Maududi. Other seminal contribution to Islamic economics literature is propagated by Sayyid Qutb (Egypt), and Mohammed Baqir Sadr (Iraq). The term "Islamic economics" is used by fundamentalist Islamic groups. 2) According to the Mainstream School, Maududi never coined the term "Islamic economics". The term "Islamic economics" no doubt emerged in the 20th century, but the idea has come into being since the early days of Islam and especially in the writings of Abu Yusuf, al-Mawardi, Ibn Hazm, and other Muslim intellectuals.Geneology


Author(s):  
Hendarsita Amartiwi

This study scrutinize the factors affecting knowledge management, consisting of acquisition of knowledge, storage of knowledge, distribution of knowledge and use of knowledge, at Private Higher Education Institutions in Garut Regency.  The purpose of this study is to analyze the factors shaping the knowledge management.  By using a survey method with a quantitative approach, the unit of analysis of this study is lecturer at 14 Private Universities in Garut Regency, with 229 lecturers as respondents. Data is obtained from survey results through questionnaires distributed directly to lecturers. Data is processed using descriptive statistical analysis and Confirmatory Factor Analysis (CFA). The research findings showed that the use of knowledge and the storage of knowledge are the most powerful factors in knowledge management, followed by the acquisition of knowledge, and distribution of knowledge.


Author(s):  
Craig R. Carter ◽  
Marc R. Hatton ◽  
Chao Wu ◽  
Xiangjing Chen

Purpose The purpose of this paper is to update the work of Carter and Easton (2011), by conducting a systematic review of the sustainable supply chain management (SSCM) literature in the primary logistics and supply chain management journals, during the 2010–2018 timeframe. Design/methodology/approach The authors use a systematic literature review (SLR) methodology which follows the methodology employed by Carter and Easton (2011). An evaluation of this methodology, using the Modified AMSTAR criteria, demonstrates a high level of empirical validity. Findings The field of SSCM continues to evolve with changes in substantive focus, theoretical lenses, unit of analysis, methodology and type of analysis. However, there are still abundant future research opportunities, including investigating under-researched topics such as diversity and human rights/working conditions, employing the group as the unit of analysis and better addressing empirical validity and social desirability bias. Research limitations/implications The findings result in prescriptions and a broad agenda to guide future research in the SSCM arena. The final section of the paper provides additional avenues for future research surrounding theory development and decision making. Originality/value This SLR provides a rigorous, methodologically valid review of the continuing evolution of empirical SSCM research over a 28-year time period.


2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Antje Nuthmann ◽  
Immo Schütz ◽  
Wolfgang Einhäuser

AbstractWhether fixation selection in real-world scenes is guided by image salience or by objects has been a matter of scientific debate. To contrast the two views, we compared effects of location-based and object-based visual salience in young and older (65 + years) adults. Generalized linear mixed models were used to assess the unique contribution of salience to fixation selection in scenes. When analysing fixation guidance without recurrence to objects, visual salience predicted whether image patches were fixated or not. This effect was reduced for the elderly, replicating an earlier finding. When using objects as the unit of analysis, we found that highly salient objects were more frequently selected for fixation than objects with low visual salience. Interestingly, this effect was larger for older adults. We also analysed where viewers fixate within objects, once they are selected. A preferred viewing location close to the centre of the object was found for both age groups. The results support the view that objects are important units of saccadic selection. Reconciling the salience view with the object view, we suggest that visual salience contributes to prioritization among objects. Moreover, the data point towards an increasing relevance of object-bound information with increasing age.


2021 ◽  
pp. 088541222110129
Author(s):  
Li Fang ◽  
Joshua Drucker

This study conducts a meta-analysis of empirical studies that have measured the spatial scale of industrial clustering. Two types of scales are examined: the peak scale (at which cluster effects are maximized) and the maximum reach (beyond which cluster effects are undetectable). We find that the scale varies significantly by the unit of analysis, industry sector, country of study, and the sources of cluster effects examined (e.g., knowledge spillovers, localization, and urbanization). Planners and policy makers should tailor the geographies embodied in cluster strategies to match the specific local needs and circumstances.


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