Business Application: Issues in Technology Acquisition & Implementation

2021 ◽  
Vol 56 (9) ◽  
pp. 41
Author(s):  
Krishnendu Prasad Ray
Keyword(s):  
Technology Acquisition ◽  
Business Application

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.

Economic Production Inventory model with the associated costs of internet advertising to acquire customers residing worldwide

2014 ◽  
Vol 12 (9) ◽  
pp. 3921-3926
Author(s):  
Ritha Prakash ◽  
Nivetha Martin
Keyword(s):  
Modern Technology ◽  
Inventory Model ◽  
Internet Advertising ◽  
Advertising Strategy ◽  
Technology Acquisition ◽  
Industrial Sectors ◽  
Economic Production ◽  
Production Inventory ◽  
Short Span

In recent times, we are witnessing the technological revolution which provides access to tremendous changes in all the fields including the industrial sectors. The notable benefit of the modern technology is quick accomplishment of complex tasks within a short span of time, which has motivated the manufacturers to imbibe novelty techniques in the production process to enhance the quality of the product so as to retain its market position amidst the competitors. As globalization has gained more concern, the manufacturers employ internet advertising strategy to elevate the product to international level and to propagate the attributes of the products to the customers residing worldwide. In this paper an EPQ inventory model is developed in which the associated costs of technology, acquisition of local and international customers via internet advertising costs are included, a numerical example is also presented to validate the model.

Strategic Environment and Implementation of Satellite Technology Acquisition Programs in ASEAN

2019 ◽  
Author(s):  
Robertus Heru Triharjanto
Keyword(s):  
Value Added ◽  
Technology Program ◽  
National Space ◽  
Technology Acquisition ◽  
Satellite Technology ◽  
Space Agency ◽  
Asean Countries ◽  
The Growth Of Economy ◽  
Technology Industries ◽  
High Technology Industries

With the growth of economy in ASEAN countries, their desire to create high value-added jobs or high technology industries are increasing. Such drive, in addition to the clasic motivation of creating national pride and strategy for defense and security, made many of them started to have national space program. Since they are satellite users, they started the program with acquiring satellite production technology. Due to such background, the paper discusses about satellite technology acquisition programs in ASEAN countries, with focus on the program’s strategic environment and implementation. The objective of research is to establish positioning map of satellite technology aqusition program in ASEAN. The method used is decriptive analytics, in which data on the program scale and coverage, technology regulations, and institutional buildings in each countries were sumarized and compared. The study shows that all of the ASEAN countries started their satellite technology acquisition by developing remote sensing satellites. It is found that Singapore and Malaysia are the highest in current satellite technology program scale, and in the future, Vietnam’s program scale will catch up with Indonesian and Thailand’s. For Indonesia, even though it has technology mastering and space agency, but lack of investment made it unable to move beyond micro-satellite program

The Technology and Knowledge Spıllover Effects of FDI on Labour Productıvıty—Evıdence from Medıum-Hıgh Industry in Malaysıa

2020 ◽  
Vol 11 (1) ◽  
pp. 110-110
Author(s):  
Norhanishah Mohamad Yunus ◽  
Noraida Abdul Wahob
Keyword(s):  
Developing Country ◽  
Multinational Corporations ◽  
Knowledge Spillovers ◽  
Labour Productivity ◽  
Spillover Effects ◽  
International Technology Transfer ◽  
Technology Acquisition ◽  
Productivity Function ◽  
Short Run ◽  
The Cost

A plethora of studies have revealed the importance of new knowledge transfer from foreign multinational corporations (MNCs) in encouraging higher labour productivity and sustainable competitive advantages. However, less attention is given to low labour productivity issue despite the presence of FDI, especially in the developing country context. Most of the studies only heavily emphasised on 'technology' effects rather than 'knowledge' effects on the host country as a result of the presence of foreign technology. As Malaysia is one of the major FDI recipients in Southeast Asia, the specific spillover effects of each FDI investor country in Malaysia, need to be studied. With an abundance of MNCs, international technology transfer is considered as an imported mode for technology acquisition in a developing country like Malaysia. However, the benefits of FDI spillovers on labour productivity function in Malaysia remain ambiguous, even when classified according to specific investor countries. Globalisation and liberalisation have seen trade and investment activities booming, thus increasing multilateral relations between Malaysia and other countries regardless of their level of development. Thus, this study may help the Malaysian government to justify the cost that should be invested to attract more FDI inflows towards the manufacturing industries in the short run. Keywords: spillover effects, Foreign Direct Investment, labour productivity, technology spillovers, knowledge spillovers

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