Mobile Commerce Adoption

2019 ◽  
pp. 170-184
Author(s):  
Husam AlFahl
Keyword(s):  
Principal Component Analysis ◽  
Mobile Phone ◽  
Principal Component ◽  
Mobile Commerce ◽  
Organizational Readiness ◽  
Performance Expectancy ◽  
Intention To Adopt ◽  
Analysis Technique ◽  
Mobile Commerce Adoption ◽  
Research Show

Mobile commerce can be a great potential to generate new streams of revenue for many established and new businesses. The penetration rates for mobile phone subscriptions in many countries show that there are significant opportunities to invest in and introduce mobile commerce services in many of these markets. The aim of this chapter is to explore and identify the various factors that influence the intention to adopt mobile commerce in Saudi banks and telecoms. A number of these factors were included in this research as they are chosen from well-known theories and investigated in the current study within the mobile commerce context using principal component analysis technique. The findings of the research show that seven components can affect the intention to adopt mobile commerce in Saudi banks and telecoms. The three most significant components that can affect the intention to adopt mobile commerce services in Saudi banks and telecoms are performance expectancy, organizational readiness, and mobile commerce features and opportunities.

Mobile Commerce Adoption

2016 ◽  
Vol 7 (3) ◽  
pp. 26-52
Author(s):  
Husam AlFahl
Keyword(s):  
Principal Component ◽  
Mobile Commerce ◽  
Organizational Adoption ◽  
Performance Expectancy ◽  
Intention To Adopt ◽  
Support Organizations ◽  
Analysis Technique ◽  
Adoption Model ◽  
Mobile Commerce Adoption ◽  
Research Show

Mobile commerce can be a great potential to generate new streams of revenue for many established and new businesses. The penetration rates for mobile phone subscriptions in many countries show that there are significant opportunities to invest in and introduce mobile commerce services in many of these markets. The aim of this research is to explore and identify the various factors that influence the intention to adopt mobile commerce in Saudi banks and telecoms. A number of these factors were included in this research as they are chosen from well-known theories and investigated in the current study within the mobile commerce context using principal component analysis technique. Based on the findings of the research, the mobile commerce organizational adoption model is proposed to support organizations in order to launch mobile commerce services into the market. The findings of the research show that seven components can affect the intention to adopt mobile commerce in Saudi banks and telecoms. The three most significant components that can affect the intention to adopt mobile commerce services in Saudi banks and telecoms are performance expectancy, organizational readiness, and mobile commerce features and opportunities. The results of this research propose seven hypotheses to be tested in the future by researchers from different countries.

Mobile Commerce Adoption

2018 ◽  
pp. 820-848 ◽  
Author(s):  
Husam AlFahl
Keyword(s):  
Principal Component ◽  
Mobile Commerce ◽  
Organizational Readiness ◽  
Organizational Adoption ◽  
Intention To Adopt ◽  
Support Organizations ◽  
Analysis Technique ◽  
Adoption Model ◽  
Mobile Commerce Adoption ◽  
Research Show

Mobile commerce can be a great potential to generate new streams of revenue for many established and new businesses. The penetration rates for mobile phone subscriptions in many countries show that there are significant opportunities to invest in and introduce mobile commerce services in many of these markets. The aim of this research is to explore and identify the various factors that influence the intention to adopt mobile commerce in Saudi banks and telecoms. A number of these factors were included in this research as they are chosen from well-known theories and investigated in the current study within the mobile commerce context using principal component analysis technique. Based on the findings of the research, the mobile commerce organizational adoption model is proposed to support organizations in order to launch mobile commerce services into the market. The findings of the research show that seven components can affect the intention to adopt mobile commerce in Saudi banks and telecoms. The three most significant components that can affect the intention to adopt mobile commerce services in Saudi banks and telecoms are performance expectancy, organizational readiness, and mobile commerce features and opportunities. The results of this research propose seven hypotheses to be tested in the future by researchers from different countries.

scholarly journals Hyperspectral monitoring of fructose content in marzipan

2018 ◽  
Vol 14 (s1) ◽  
pp. 79-88
Author(s):  
Katalin Badak-Kerti ◽  
Szabina Németh ◽  
Andreas Zitek ◽  
Ferenc Firtha
Keyword(s):  
Principal Component Analysis ◽  
Spatial Distribution ◽  
Spectral Properties ◽  
Oil Content ◽  
Sugar Content ◽  
Principal Component ◽  
Reducing Sugar ◽  
Hyperspectral Data ◽  
Hyperspectral Images ◽  
Analysis Technique

In our research marzipan samples of different sugar to almond paste ratios (1:1, 2:1, 3:1) were stored at 17 °C. Reducing sugar content was measured by analytical method, texture analysis was done by penetrometry, electric characteristics were measured by conductometry and hyperspectral images were taken 6–8 times during the 16 days of storage. For statistical analyses (discriminant analysis, principal component analysis) SPSS program was used. According to our findings with the hyperspectral analysis technique, it is possible to identify how long the samples were stored (after production), and to which class (ratio of sugar to almond) the sample belonged. The main wavelengths which gave the best discrimination results among the days of storage were between 960 and 1100 nm. The type of the marzipan was easy to distinguish with the hyperspectral data; the biggest differences were observed at 1200 and 1400 nm, which are connected to the first overtone of C-H bound, therefore correlate with the oil content. The spatial distribution of penetrometric, electric and spectral properties were also characteristic to fructose content. The fructose content of marzipan is difficult to measure by usual optical ways (polarimetry, spectroscopy), but since fructose is hygroscopic, the spatial distribution of spectral properties can be characteristic.

scholarly journals The southern Jê and adaptation to the wetland areas on the southern of the Araucarias plateau/Brazil

2021 ◽  
Vol 12 (3) ◽  
pp. 737-747
Author(s):  
Jones Fiegenbaum ◽  
Marina Schmidt Dalzochio ◽  
Eduardo Périco ◽  
Neli Teresinha Galarce Machado
Keyword(s):  
Principal Component Analysis ◽  
Sea Level ◽  
Principal Component ◽  
Interdisciplinary Studies ◽  
Archaeological Sites ◽  
Archaeological Research ◽  
Human Relations ◽  
Running Water ◽  
Analysis Technique ◽  
The Right

The Jê archeology has witnessed in the last decades a significant increase in information on the pattern of settlement, subsistence, mobility and ceremonial practices as a result of major projects developed in the South Brazilian Plateau. With the beginning of a systemic and procedural view in archeology, interdisciplinary studies in archaeological research are directed to the study on the understanding of human relations with the environment. Between the basins of the Forqueta and Guaporé Rivers, both tributaries of the right bank of the Taquari/Antas River, twenty-one archaeological sites were found with the presence of pit houses associated with Jê groups. Of the twenty-one areas of identified pit houses, nineteen are in areas close to wetlands. In an interdisciplinary perspective, we seek to understand the reasons why Jê groups established settlements close to wetlands. Six criteria were analyzed regarding the installation of pit houses and the proximity to wetlands, namely hydrography, distance from rivers with running water, clinography, terrain slope, hypsometry, altitude in relation to sea level, soils, soil quality, distance from wetlands, and phytoecological region (vegetation cover). The patterns of occupation of Jê groups were analyzed using the Principal Component Analysis technique on the variables presented.

scholarly journals A Model to Evaluate the Organizational Readiness for Big Data Adoption

2020 ◽  
Vol 15 (3) ◽  
Author(s):  
Javaneh Ramezani ◽  
Mahdi Nasrollahi
Keyword(s):  
Principal Component Analysis ◽  
Big Data ◽  
Literature Review ◽  
New Technologies ◽  
Principal Component ◽  
Organizational Readiness ◽  
Decision Makers ◽  
Comprehensive Literature Review ◽  
The Hierarchical Structure ◽  
Best Worst Method

Evaluating organizational readiness for adopting new technologies always was an important issue for managers. This issue for complicated subjects such as Big Data is undeniable. Managers tend to adopt Big Data, with the best readiness. But this is not possible unless they can assess their readiness. In the present paper, we propose a model to evaluate the organizational readiness for Big Data adoption. To accomplish this objective, firstly, we identified the criteria that impact organizational readiness based on a comprehensive literature review. In the next step using Principal Component Analysis (PCA) for criterion reduction and integration, twelve main criteria were identified. Then the hierarchical structure of criteria was developed. Further, Fuzzy Best- Worst Method (FBWM) has been used to identify the weight of the criteria. The finding enables decision-makers to appropriately choose the more important criteria and drop unimportant criteria in strengthening organizational readiness for Big Data adoption. Statistics-based hierarchical model and MCDM based criteria weighting have been proposed, which is a new effort in evaluating organizational readiness for Big Data adoption.

scholarly journals A Perception-Based Model for Mobile Commerce Adoption in Vietnamese Small and Medium-Sized Enterprises

2021 ◽  
Vol 29 (1) ◽  
pp. 44-67
Author(s):  
Ngoc Tuan Chau ◽  
Hepu Deng ◽  
Richard Tay
Keyword(s):  
Developing Countries ◽  
Conceptual Model ◽  
Structural Equation Modelling ◽  
Structural Equation ◽  
Mobile Commerce ◽  
Organizational Readiness ◽  
Equation Modelling ◽  
Perceived Security ◽  
Mobile Commerce Adoption ◽  
And Diffusion

This paper investigates the critical determinants for the adoption of mobile commerce (m-commerce) in Vietnamese small and medium-sized enterprises (SMEs) from the perspective of managers. A perception-based conceptual model is developed with respect to the technology-organization-environment framework. The conceptual model is then tested and validated using structural equation modelling on the data collected from 513 SMEs in Vietnam. The study shows that perceived benefits, perceived compatibility, perceived security, perceived organizational readiness, and perceived customer pressures are critical for the adoption of m-commerce. As the first study on the critical determinants for m-commerce adoption in Vietnam, these findings are useful for SME managers as well as policymakers in designing policies as strategies to promote the wide development and diffusion of m-commerce in SMEs in Vietnam and other developing countries.

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