scholarly journals Data Driven Decision-Making (DDDM) For Business Leaders post COVID-19 Outbreak: A COSTA-webQDA Technique Proposition

2021 ◽  
Author(s):  
King Costa
Keyword(s):  
Decision Making ◽  
Performance Management ◽  
Stakeholder Analysis ◽  
Business Leaders ◽  
Knowledge Generation ◽  
Data Governance ◽  
Major Step ◽  
Key Dimensions ◽  
Using Data ◽  
Media Applications

Business leaders with aptitude for using data intelligibly will be able to perform better post COVID-19 outbreak era (McAfee & Brynjolfsson, 2012). Businesses can no longer ignore the role data plays in making crucial decisions about the next major step to be taken, particularly during the time of disaster or facing potential threats resulting from COVID-19 or similar occurrences. Data informed decision-making will be beneficial to leaders who need to be at the vanguard of knowledge generation within the realm of ideation. COSTA Technique on the webQDA software provides organisations with cutting-edge technology using mix-media applications and web-based strategies to keep up with current trends, insights and muti-perspectival stakeholder analysis in real-time with high levels of efficiency and integrity. This paper presents ideas adapted to the capabilities framework developed by Jia, Hall and Song (2015), addressing five key dimensions in decision-making, such as data governance, data analytics, insights exploitation, performance management and data integration. Using the COSTA Model technique with webQDA, we present how large volumes of textual data, also known and referred to as “big qualitative data” may be transformed to structured, coherent, meaningful and timely decision-making enablers.

scholarly journals Data Driven Decision-Making (DDDM) for Business Leaders post COVID-19 Outbreak: A COSTA-webQDA Technique Proposition at 5th World Conference on Qualitative Research - 20/01/2021

2021 ◽  
Author(s):  
King Costa
Keyword(s):  
Decision Making ◽  
Performance Management ◽  
Stakeholder Analysis ◽  
Business Leaders ◽  
Knowledge Generation ◽  
Data Governance ◽  
Major Step ◽  
Key Dimensions ◽  
Using Data ◽  
Media Applications

Business leaders with an aptitude for using data intelligibly will be able to perform better post COVID-19 outbreak era (McAfee & Brynjolfsson, 2012). Businesses can no longer ignore the role data plays in making crucial decisions about the next major step to be taken, particularly during the time of disaster or facing potential threats resulting from COVID-19 or similar occurrences. Data-informed decision-making will be beneficial to leaders who need to be at the vanguard of knowledge generation within the realm of ideation. COSTA Technique on the webQDA software provides organizations with cutting-edge technology using mix-media applications and web-based strategies to keep up with current trends, insights and multi-perspectival stakeholder analysis in real-time with high levels of efficiency and integrity. This talk will present ideas adapted to the capabilities framework developed by Jia, Hall and Song (2015), addressing five key dimensions in decision-making, such as data governance, data analytics, insights exploitation, performance management and data integration. Using the COSTA Model technique with webQDA, we will present how large volumes of textual data, also known and referred to as “big qualitative data” may be transformed into structured, coherent, meaningful and timely decision-making enablers.

STRATEGI MAKSIMALISASI ANGGARAN BELANJA PADA BALAI PENELITIAN DAN PENGEMBANGAN LINGKUNGAN HIDUP DAN KEHUTANAN MANOKWARI

2016 ◽  
Vol 8 (2) ◽  
Author(s):  
Arif Hasan ◽  
Dedi Budiman Hakim ◽  
Irdika Mansur
Keyword(s):  
Decision Making ◽  
Descriptive Analysis ◽  
Secondary Data ◽  
Primary Data ◽  
Fiscal Year ◽  
The Third ◽  
Swot Matrix ◽  
Three Stages ◽  
Using Data

This study aims to analyze causes of the low uptake of the budget and formulate a strategy of maximizing the absorption of expenditure on Balai Penelitian dan Pengembangan Lingkungan Hidup dan Kehutanan Manokwari. Respondents involved are 20 people that consist of: treasury officials and holder output of activity. The data used were secondary data in the form of reports on budget realization (LRA) quarter I, II, III and IV of the fiscal year 2011 to 2015, and the primary data were in the form of interviews with the help of a questionnaire. While the analysis of the data used was descriptive analysis using data tabulation, and the analysis of the three stages strategy of the decision making used IFE and EFE matrix, SWOT matrix and QSPM matrix.The results showed that there are 19 factors causing low of budget absorption until the end of the third quarter, and there were 10 drafts of policy as a strategy for maximizing the absorption of the budget on Balai Penelitian dan Pengembangan Lingkungan Hidup dan Kehutanan Manokwari.ABSTRAKPenelitian ini bertujuan untuk menganalisis penyebab rendahnya penyerapan anggaran belanja dan merumuskan strategi maksimalisasi penyerapan anggaran belanja pada Balai Penelitian dan Pengembangan Lingkungan Hidup dan Kehutanan Manokwari. Responden yang terlibat adalah 20 orang yaitu pejabat perbendaharaan dan pemegang output kegiatan. Data yang digunakan adalah data sekunder berupa laporan realisasi anggaran (LRA) triwulan I, II, III dan IV tahun anggaran 2011 sampai 2015, dan data primer berupa wawancara dengan bantuan kuesioner. Sedangkan analisis data yang digunakan adalah analisis deskriptif menggunakan analisis tabulasi, dan analisis analisis strategi tiga tahap pengambilan keputusan menggunakan matriks IFE dan EFE, matriks SWOT dan matriks QSPM. Hasil penelitian menunjukkan bahwa terdapat 19 faktor penyebab rendahnya penyerapan anggaran belanja sampai akhir triwulan III, dan terdapat 10 rancangan kebijakan sebagai strategi maksimalisasi penyerapan anggaran belanja di Balai Penelitian dan Pengembangan Lingkungan Hidup dan Kehutanan Manokwari.

Influence of Confucian culture on entrepreneurial decision making using data from China's floating population

2020 ◽  
Vol 48 (7) ◽  
pp. 1-12
Author(s):  
Ran Xiong ◽  
Ping Wei
Keyword(s):  
Decision Making ◽  
Floating Population ◽  
Positive Role ◽  
Confucian Culture ◽  
Chinese Nation ◽  
Using Data ◽  
Entrepreneurial Decision ◽  
And Behavior ◽  
The Relationship

Confucian culture has had a deep-rooted influence on Chinese thinking and behavior for more than 2,000 years. With a manually created Confucian culture database and the 2017 China floating population survey, we used empirical analysis to test the relationship between Confucian culture and individual entrepreneurial choice using data obtained from China's floating population. After using the presence and number of Confucian schools and temples, and of chaste women as instrumental variables to counteract problems of endogeneity, we found that Confucian culture had a significant role in promoting individuals' entrepreneurial decision making among China's floating population. The results showed that, compared with those from areas of China not strongly influenced by Confucian culture, individuals from areas that are strongly influenced by Confucian culture were more likely to choose entrepreneurship as their occupation choice. Our findings reveal cultural factors that affect individual entrepreneurial behavior, and also illustrate the positive role of Confucianism as a representative of the typical cultures of the Chinese nation in the 21st century.

Playing videogames or using social media applications on smartphones causes mental fatigue and impairs decision-making performance in amateur boxers

2021 ◽  
pp. 1-12
Author(s):  
Leonardo Sousa Fortes ◽  
Petrus Gantois ◽  
Dalton de Lima-Júnior ◽  
Bruno Teixeira Barbosa ◽  
Maria Elisa Caputo Ferreira ◽  
...  
Keyword(s):  
Decision Making ◽  
Social Media ◽  
Mental Fatigue ◽  
Media Applications

A Preliminary Test of the Impact of De-Globalization on MNC Performance

2021 ◽  
Vol 17 (2) ◽  
pp. 412-428
Author(s):  
Hilla Peretz ◽  
Michael J. Morley
Keyword(s):  
Organizational Context ◽  
Preliminary Test ◽  
Organizational Level ◽  
Institutional Fit ◽  
Preliminary Examination ◽  
Negative Effect ◽  
Key Dimensions ◽  
Using Data ◽  
The Impact ◽  
The Relationship

ABSTRACTWe offer a preliminary examination of whether national and organizational level contexts amplify or reduce the effects of de-globalization on the performance of MNCs. Theoretically, we borrow ideas from both event system theory and institutional fit to propose a model explicating key dimensions of the relationship between de-globalization, national and organizational context, and MNC performance. We then test our ideas using data assembled from 283 MNCs in 20 countries. We find that while de-globalization has a negative effect on MNC performance, national and organizational level contextual endowments do moderate this relationship. We discuss some implications of our findings and highlight attendant limitations.

scholarly journals An Exploratory Study of Research Data Governance in the U.S.

2020 ◽  
Vol 4 (1) ◽  
pp. 122-142
Author(s):  
Inna Kouper ◽  
Anjanette H Raymond ◽  
Stacey Giroux
Keyword(s):  
Decision Making ◽  
Exploratory Study ◽  
Research Data ◽  
Science And Society ◽  
Data Governance ◽  
Knowledge Commons ◽  
Multiple Voices ◽  
The Us ◽  
The Commons ◽  
The U.S

AbstractMaking decisions regarding data and the overall credibility of research constitutes research data governance. In this paper, we present results of an exploratory study of the stakeholders of research data governance. The study was conducted among individuals who work in academic and research institutions in the US, with the goal of understanding what entities are perceived as making decisions regarding data and who researchers believe should be responsible for governing research data. Our results show that there is considerable diversity and complexity across stakeholders, both in terms of who they are and their ideas about data governance. To account for this diversity, we propose to frame research data governance in the context of polycentric governance of a knowledge commons. We argue that approaching research data from the commons perspective will allow for a governance framework that can balance the goals of science and society, allow us to shift the discussion toward protection from enclosure and knowledge resilience, and help to ensure that multiple voices are included in all levels of decision-making.

scholarly journals New dilemmas, old problems: advances in data analysis and its geoethical implications in groundwater management

2021 ◽  
Vol 3 (6) ◽  
Author(s):  
César de Oliveira Ferreira Silva ◽  
Mariana Matulovic ◽  
Rodrigo Lilla Manzione
Keyword(s):  
Decision Making ◽  
Data Analytics ◽  
Data Science ◽  
Final Decision ◽  
Aquifer Recharge ◽  
Groundwater Governance ◽  
Ethical Attitude ◽  
New Information ◽  
Modeling Experiment ◽  
Using Data

Abstract Groundwater governance uses modeling to support decision making. Therefore, data science techniques are essential. Specific difficulties arise because variables must be used that cannot be directly measured, such as aquifer recharge and groundwater flow. However, such techniques involve dealing with (often not very explicitly stated) ethical questions. To support groundwater governance, these ethical questions cannot be solved straightforward. In this study, we propose an approach called “open-minded roadmap” to guide data analytics and modeling for groundwater governance decision making. To frame the ethical questions, we use the concept of geoethical thinking, a method to combine geoscience-expertise and societal responsibility of the geoscientist. We present a case study in groundwater monitoring modeling experiment using data analytics methods in southeast Brazil. A model based on fuzzy logic (with high expert intervention) and three data-driven models (with low expert intervention) are tested and evaluated for aquifer recharge in watersheds. The roadmap approach consists of three issues: (a) data acquisition, (b) modeling and (c) the open-minded (geo)ethical attitude. The level of expert intervention in the modeling stage and model validation are discussed. A search for gaps in the model use is made, anticipating issues through the development of application scenarios, to reach a final decision. When the model is validated in one watershed and then extrapolated to neighboring watersheds, we found large asymmetries in the recharge estimatives. Hence, we can show that more information (data, expertise etc.) is needed to improve the models’ predictability-skill. In the resulting iterative approach, new questions will arise (as new information comes available), and therefore, steady recourse to the open-minded roadmap is recommended. Graphic abstract

Embracing School Counselors’ Situatedness: Data-Based Decision Making as Fulfillment of a Complex Identity

2021 ◽  
Vol 24 (1_part_3) ◽  
pp. 2156759X2110119
Author(s):  
Brett Zyromski ◽  
Catherine Griffith ◽  
Jihyeon Choi
Keyword(s):  
Decision Making ◽  
School Counselors ◽  
School Counselor ◽  
Use Of Data ◽  
Counselor Identity ◽  
Using Data ◽  
Definition Of ◽  
Support Students ◽  
Students Success ◽  
Data Based Decision Making

Since at least the 1930s, school counselors have used data to inform school counseling programming. However, the evolving complexity of school counselors’ identity calls for an updated understanding of the use of data. We offer an expanded definition of data-based decision making that reflects the purpose of using data in educational settings and an appreciation of the complexity of the school counselor identity. We discuss implications for applying the data-based decision-making process using a multifaceted school counselor identity lens to support students’ success.

A hybrid model using data mining and multi-criteria decision-making methods for landslide risk mapping at Golestan Province, Iran

2021 ◽  
Vol 80 (15) ◽  
Author(s):  
Elham Rafiei Sardooi ◽  
Ali Azareh ◽  
Tayyebeh Mesbahzadeh ◽  
Farshad Soleimani Sardoo ◽  
Eric J. R. Parteli ◽  
...  
Keyword(s):  
Data Mining ◽  
Decision Making ◽  
Hybrid Model ◽  
Risk Mapping ◽  
Landslide Risk ◽  
Multi Criteria Decision Making ◽  
Golestan Province ◽  
Using Data
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