Research of B2B e-Business Application and Development Technology Based on SOA

2010 ◽  
pp. 367-375 ◽  
Author(s):  
Li Liang Xian
Keyword(s):  
Business Application ◽  
Development Technology

Family Influence on Business: Application of A Modified F-PEC Scale to Private Small Business In Vietnam

2013 ◽  
pp. 38-53
Author(s):  
Nam Vu Hoang ◽  
Anh Truong Tuan ◽  
Nghia Nguyen Ke
Keyword(s):  
Small Business ◽  
Factor Structure ◽  
Measurement Model ◽  
Two Dimensions ◽  
Family Influence ◽  
Cultural Aspect ◽  
Culture Dimensions ◽  
Business Application ◽  
Original Scale ◽  
Asian Context

This paper uncovers dimensions of family influence on private small business in Vietnam. Although the F-PEC scale, which comprises three subscales for power, experience and culture dimensions of family influence, has been validated in the literature, application of the scale in an Asian context, like Vietnam, may face challenges due to context differences. The study modified the original scale based on qualitative findings from five interviews with entrepreneurs and comments on the scale from business scholars. Data from a survey of 143 entrepreneurs were used for EFA, resulting in four factors. And CFA proves fitness of the measurement model of the four-factor structure to the data, in which two dimensions regarding the cultural aspect were confirmed.

Implementation of data mining as a support of business application strategy

2018 ◽  
Vol 5 (1) ◽  
pp. 47-55
Author(s):  
Florensia Unggul Damayanti
Keyword(s):  
Data Mining ◽  
Random Forest ◽  
Business Strategy ◽  
Input Parameter ◽  
Data Mining Algorithm ◽  
Complex Data ◽  
Business Decision ◽  
Marketing Department ◽  
Business Application ◽  
Complex Data Sets

Data mining help industries create intelligent decision on complex problems. Data mining algorithm can be applied to the data in order to forecasting, identity pattern, make rules and recommendations, analyze the sequence in complex data sets and retrieve fresh insights. Yet, increasing of technology and various techniques among data mining availability data give opportunity to industries to explore and gain valuable information from their data and use the information to support business decision making. This paper implement classification data mining in order to retrieve knowledge in customer databases to support marketing department while planning strategy for predict plan premium. The dataset decompose into conceptual analytic to identify characteristic data that can be used as input parameter of data mining model. Business decision and application is characterized by processing step, processing characteristic and processing outcome (Seng, J.L., Chen T.C. 2010). This paper set up experimental of data mining based on J48 and Random Forest classifiers and put a light on performance evaluation between J48 and random forest in the context of dataset in insurance industries. The experiment result are about classification accuracy and efficiency of J48 and Random Forest , also find out the most attribute that can be used to predict plan premium in context of strategic planning to support business strategy.

AI and Migration Management

2020 ◽  
pp. 768-787
Author(s):  
Petra Molnar
Keyword(s):  
Human Rights ◽  
New Technologies ◽  
Forced Migration ◽  
Fundamental Rights ◽  
International Human Rights Law ◽  
Privacy Rights ◽  
International Regulation ◽  
Development Technology ◽  
And Migration ◽  
The Right

This chapter focuses on how technologies used in the management of migration—such as automated decision-making in immigration and refugee applications and artificial intelligence (AI) lie detectors—impinge on human rights with little international regulation, arguing that this lack of regulation is deliberate, as states single out the migrant population as a viable testing ground for new technologies. Making migrants more trackable and intelligible justifies the use of more technology and data collection under the guide of national security, or even under tropes of humanitarianism and development. Technology is not inherently democratic, and human rights impacts are particularly important to consider in humanitarian and forced migration contexts. An international human rights law framework is particularly useful for codifying and recognizing potential harms, because technology and its development are inherently global and transnational. Ultimately, more oversight and issue specific accountability mechanisms are needed to safeguard fundamental rights of migrants, such as freedom from discrimination, privacy rights, and procedural justice safeguards, such as the right to a fair decision maker and the rights of appeal.

scholarly journals Future themes of mathematics education research: an international survey before and during the pandemic

2021 ◽  
Vol 107 (1) ◽  
pp. 1-24
Author(s):  
Arthur Bakker ◽  
Jinfa Cai ◽  
Linda Zenger
Keyword(s):  
Education Research ◽  
Mathematics Education ◽  
Teacher Professional Development ◽  
Mathematics Education Research ◽  
International Survey ◽  
Teaching Approaches ◽  
Education Teacher ◽  
Development Technology ◽  
Teacher Professional ◽  
Research In Mathematics Education

AbstractBefore the pandemic (2019), we asked: On what themes should research in mathematics education focus in the coming decade? The 229 responses from 44 countries led to eight themes plus considerations about mathematics education research itself. The themes can be summarized as teaching approaches, goals, relations to practices outside mathematics education, teacher professional development, technology, affect, equity, and assessment. During the pandemic (November 2020), we asked respondents: Has the pandemic changed your view on the themes of mathematics education research for the coming decade? If so, how? Many of the 108 respondents saw the importance of their original themes reinforced (45), specified their initial responses (43), and/or added themes (35) (these categories were not mutually exclusive). Overall, they seemed to agree that the pandemic functions as a magnifying glass on issues that were already known, and several respondents pointed to the need to think ahead on how to organize education when it does not need to be online anymore. We end with a list of research challenges that are informed by the themes and respondents’ reflections on mathematics education research.

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