scholarly journals Emerging Value Propositions For M-Commerce

1970 ◽  
Vol 25 (2) ◽  
pp. 41-57
Author(s):  
Irvine Clarke III

The proliferation of mobile Internet devices is creating an unparalleled opportunityfor e-commerce to leverage the benefits of mobility. Mobile e-commerce,commonly referred to as m-commerce, is the ability to purchase goods anywherethrough a wireless Internet-enabled device. Current e-commerce providers, engagedthrough mobile devices, will find advantage in developing unique m-commercevalue propositions founded upon the specific dimensions of ubiquity, convenience,localization, and personalization. A consumer orientation that provides value-fortimefunctions to create a new value curve may achieve a competitive advantageover traditional e-commerce models replicated for mobile business. Therefore, thispaper investigates the value propositions, that engender a productive mobile e-commercestrategy to provide recommendations for managerial decision-making in thisemerging wireless environment.

1970 ◽  
Vol 18 (2) ◽  
pp. 133-148
Author(s):  
Irvine Clarke III

The proliferation of mobile Internet devices is creating an unparalleled opportunityfor e-commerce to leverage the benefits of mobility. Mobile e-commerce,commonly referred to as m-commerce, is the ability to purchase goodsanywhere through a wireless Internet-enabled device. Current e-commerce providers,engaged through mobile devices, will find advantage in developingunique m-commerce value propositions founded upon the specific dimensionsof: ubiquity, convenience, localization, and personalization. A consumer orientationthat provides value-for-time functions to create a new value curve mayachieve a competitive advantage over traditional e-commerce models replicated formobile business. Therefore, this paper investigates the value propositions,that engender a productive mobile e-commerce strategy to provide recommendationsfor managerial decision-making in this emerging wireless environment.


2014 ◽  
Vol 30 (4) ◽  
pp. 1003 ◽  
Author(s):  
Yasser Buchana ◽  
Visvanathan Naicker

<p>Managerial decision-making has always involved the use of numerous distinct information resources. Modern managerial decision-making processes require a wealth of information that is enhanced and transformed into knowledge in order to take effective action. Mobility in business is increasingly exercising influence on core business processes of organisations. Recent advances in wireless technologies coupled with the rapid growth of mobile devices in business have led to a new era in business computing. Mobile Business Intelligence (Mobile BI) is a system that has been conceived to assist, accelerate and to enhance the managerial decision-making processes. Drawing from an array of previous studies that attempted to measure the value of Business Intelligence (BI) and other IT systems in organisations, this study develops a new kind of measure which is based on an understanding of the distinct properties of Mobile BI systems in an organisational-oriented context.</p>


2010 ◽  
Vol 56 (No. 5) ◽  
pp. 201-208 ◽  
Author(s):  
M. Beranová ◽  
D. Martinovičová

The costs functions are mentioned mostly in the relation to the Break-even Analysis where they are presented in the linear form. But there exist several different types and forms of cost functions. Fist of all, it is necessary to distinguish between the short-run and long-run cost function that are both very important tools of the managerial decision making even if each one is used on a different level of management. Also several methods of estimation of the cost function's parameters are elaborated in the literature. But all these methods are based on the past data taken from the financial accounting while the financial accounting is not able to separate the fixed and variable costs and it is also strongly adjusted to taxation in the many companies. As a tool of the managerial decision making support, the cost functions should provide a vision to the future where many factors of risk and uncertainty influence economic results. Consequently, these random factors should be considered in the construction of cost functions, especially in the long-run. In order to quantify the influences of these risks and uncertainties, the authors submit the application of the Bayesian Theorem.


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