Unsupervised Learning and Simulation for Complexity Management in Business Operations

2019 ◽  
pp. 313-331
Author(s):  
Lukas Hollenstein ◽  
Lukas Lichtensteiger ◽  
Thilo Stadelmann ◽  
Mohammadreza Amirian ◽  
Lukas Budde ◽  
...  
Keyword(s):  
Unsupervised Learning ◽  
Complexity Management ◽  
Business Operations

E-commerce Adoption in Nigerian Businesses

2012 ◽  
pp. 156-178 ◽  
Author(s):  
Uyinomen O. Ekong ◽  
Princely Ifinedo ◽  
Charles K. Ayo ◽  
Airi Ifinedo
Keyword(s):  
Diffusion Of Innovation ◽  
Small Businesses ◽  
External Pressure ◽  
Sub Saharan Africa ◽  
Relative Advantage ◽  
Management Support ◽  
Business Organizations ◽  
Complexity Management ◽  
Business Operations ◽  
Sub Saharan

Business organizations around the world engage in e-commerce (EC) and e-business to support business operations and enhance revenue generation from non-traditional sources. Studies focusing on EC adoption in Sub Saharan Africa (SSA) are just beginning to emerge in the extant information systems (IS) literature. The objective of this current study is to investigate factors impacting the acceptance of EC in small businesses in SSA with Nigeria as an example. A research model based on the Diffusion of Innovation (DIT) and the Technology–Organization–Environment (TOE) frameworks were used to guide this discourse. Such factors as relative advantage, compatibility, complexity, management support, organizational readiness, external pressure, and IS vendor support were used to develop relevant hypotheses. Questionnaires were administered to respondents in Nigeria and data analysis was performed using the Partial Least Squares (PLS) technique. Predictions related to relative advantage, management support, and IS vendor support were confirmed; the other hypotheses were unsupported by the data. The study’s implications for research and practice are discussed in the chapter.

AN EMPIRICAL ANALYSIS OF FACTORS INFLUENCING INTERNET/E-BUSINESS TECHNOLOGIES ADOPTION BY SMES IN CANADA

2011 ◽  
Vol 10 (04) ◽  
pp. 731-766 ◽  
Author(s):  
PRINCELY IFINEDO
Keyword(s):  
Diffusion Of Innovation ◽  
Small And Medium Enterprises ◽  
External Pressure ◽  
Government Support ◽  
Relative Advantage ◽  
Management Support ◽  
Research Model ◽  
Complexity Management ◽  
Business Operations ◽  
Medium Enterprises

Small and medium enterprises (SMEs) around the world engage in e-commerce and e-business to support business operations as well as to enhance revenue generation from nontraditional sources. Internet and e-business technologies (IEBT) are the pillars of e-commerce and e-business. Despite the universal appeal of IEBT, it has been reported that the adoption of such technologies by SMEs is influenced by contextual imperatives. The objective of this research is to investigate factors impacting the adoption of IEBT in SMEs based in the Maritime region of Canada. A research model based on the diffusion of innovation (DIT) and the Technology–Organization–Environment (TOE) frameworks was used to guide the discourse. Such factors as relative advantage, compatibility, complexity, management support, organizational readiness, external pressure, and government support were used to develop relevant hypotheses. Questionnaires were mailed to key informants in SMEs. Data analysis was performed using the partial least squares (PLS) technique. Predictions related to relative advantage, management support, and competition's pressure were confirmed. The study did not support the constructs of compatibility, complexity, government support, customers' and partners' pressures as significant predictors of IEBT adoption by the SMEs in the region.

E-Commerce Adoption in Nigerian Businesses

2013 ◽  
pp. 840-861
Author(s):  
Uyinomen O. Ekong ◽  
Princely Ifinedo ◽  
Charles K. Ayo ◽  
Airi Ifinedo
Keyword(s):  
Diffusion Of Innovation ◽  
Small Businesses ◽  
External Pressure ◽  
Sub Saharan Africa ◽  
Relative Advantage ◽  
Management Support ◽  
Business Organizations ◽  
Complexity Management ◽  
Business Operations ◽  
Sub Saharan

Business organizations around the world engage in e-commerce (EC) and e-business to support business operations and enhance revenue generation from non-traditional sources. Studies focusing on EC adoption in Sub Saharan Africa (SSA) are just beginning to emerge in the extant information systems (IS) literature. The objective of this current study is to investigate factors impacting the acceptance of EC in small businesses in SSA with Nigeria as an example. A research model based on the Diffusion of Innovation (DIT) and the Technology–Organization–Environment (TOE) frameworks were used to guide this discourse. Such factors as relative advantage, compatibility, complexity, management support, organizational readiness, external pressure, and IS vendor support were used to develop relevant hypotheses. Questionnaires were administered to respondents in Nigeria and data analysis was performed using the Partial Least Squares (PLS) technique. Predictions related to relative advantage, management support, and IS vendor support were confirmed; the other hypotheses were unsupported by the data. The study’s implications for research and practice are discussed in the chapter.

Classification of Observations through Combination of the Dimension Reduction and the Cluster Analysis

2017 ◽  
Vol 7 (8) ◽  
pp. 30
Author(s):  
Hyeuk Kim
Keyword(s):  
Machine Learning ◽  
Principal Component Analysis ◽  
Cluster Analysis ◽  
Unsupervised Learning ◽  
Principal Component ◽  
Component Analysis ◽  
Baseball Players ◽  
Partitioning Around Medoids ◽  
Different Characteristics

Unsupervised learning in machine learning divides data into several groups. The observations in the same group have similar characteristics and the observations in the different groups have the different characteristics. In the paper, we classify data by partitioning around medoids which have some advantages over the k-means clustering. We apply it to baseball players in Korea Baseball League. We also apply the principal component analysis to data and draw the graph using two components for axis. We interpret the meaning of the clustering graphically through the procedure. The combination of the partitioning around medoids and the principal component analysis can be used to any other data and the approach makes us to figure out the characteristics easily.

Evaluating the innovation of oil and gas enterprises under new circumstances: Evidence from Rosneft Oil Company

2020 ◽  
Vol 8 (8) ◽  
pp. 1444-1458
Author(s):  
N.M. Baranova ◽  
D.S. Loginova ◽  
S.N. Larin
Keyword(s):  
Oil And Gas ◽  
Annual Report ◽  
Statistical Data ◽  
Exponential Model ◽  
Innovative Activity ◽  
Corporate Development ◽  
Power Resources ◽  
Business Operations ◽  
Trade Wars ◽  
Oil Company

Subject. Illustrating the case of Rosneft Oil Company, we herein study how innovation spurs business operations, increases the competitiveness of firms and protects them from risks. Objectives. We model the innovative activity of Rosneft Oil Company and its competitiveness. Methods. We analyze proceedings by the Russian and foreign scholars, materials on program for the innovative and sustainable development of Rosneft Oil Company. Our assessments were based on statistical data of Rosneft’s annual report for 2004–2019. The regression analysis and econometric studies were conducted via Eviews10. Results. We set models to predict the innovative development of the company for the nearest future. We revealed that the linear model was the most appropriate and suitable for forecasting. Properties and estimates of the exponential model turned to be insignificant, on the contrary. Conclusions and Relevance. Currently, it is difficult to forecast the extent to which corporate development, its innovative activity will change in 2020 and in the nearest future. Despite the company’s achievements before 2020, continuous trade wars, geopolitical conflicts, pandemic, OPEC agreements and a consequential drastic drop in the demand for power resources considerably slowed down the pace of the economic growth not only in the company, but also in the country.

Buying Behavior of Organizations for Software Products: Influence of Environmental Factors

2019 ◽  
Vol 118 (10) ◽  
pp. 252-271
Author(s):  
Md. Hashmathur Rehman ◽  
Dr. M. Rajkumar
Keyword(s):  
Environmental Factors ◽  
Board Members ◽  
Governing Board ◽  
Buying Behavior ◽  
Multiple Stakeholders ◽  
Software Products ◽  
Environmental Situation ◽  
Business Operations ◽  
Innovation Dynamics ◽  
The Government

The environmental situation for an organization is the environment in which an organization operates.It consists of multiple stakeholders such as governing board members, business competitors, suppliers,customers, the government, etc. They can influence the organization’s decision to adopt an innovation. The influence can ease the organization in adopting the innovation or it can block or affect negatively the organization’s decision to adopt the innovation. Dynamics of the market in which the organization operatesand business competitors will also influence the organization’s decision to adopt innovations.  Customers, Suppliers are sources who will exercise their powers and influence the organization’s decision. Governmentregulation is also equally important and will influence the organization’s decision to adopt innovation. In a nutshell, the environment will influence the organization’s decision to adopt innovations for its business operations.

Sign in / Sign up

Export Citation Format

Share Document