scholarly journals ANALYZING THE DETERMINANTS OF E-COMMERCE IN SMALL AND MEDIUM-SIZED ENTERPRISES: A COGNITION-DRIVEN FRAMEWORK

2019 ◽  
Vol 25 (3) ◽  
pp. 496-518 ◽  
Author(s):  
Ricardo M. R. Barroso ◽  
Fernando A. F. Ferreira ◽  
Ieva Meidutė-Kavaliauskienė ◽  
Nerija Banaitienė ◽  
Pedro F. Falcão ◽  
...  

The increasing use of information technology in enterprises’ daily operations has led to multiple innovative ways to run a business, including electronic commerce (hereafter, e-commerce). However, firms with fewer resources, such as small and medium-sized enterprises (SMEs), are more reluctant to use electronic channels during transactions. This aversion to contemporary business models is a result of these companies’ lack of knowledge and capabilities regarding e-commerce. To improve their businesses, SMEs’ managers and decision makers could benefit from a methodological framework that fosters a deeper understanding of the determinants of e-commerce. This study sought to explore the use of fuzzy cognitive mapping to address this need. The results are grounded in the knowledge and experience of a panel of experts in e-commerce. The fuzzy cognitive map (FCM) developed shows that entrepreneur profile, market, operational management, marketing and promotions, website and digital platform, and products present the highest centrality indices as determinants of SME e-commerce. The findings offer a better understanding of the cause-and-effect relationships between these determinants. The advantages, limitations, and shortcomings of our constructivist proposal are also discussed.

1999 ◽  
Vol 14 (2) ◽  
pp. 123-135 ◽  
Author(s):  
Ellen Christiaanse ◽  
Robert-Jan Zimmerman

The adoption and management of electronic channels provide critical challenges for managers and researchers in the field of information systems. With the recent advent of electronic commerce, new business models have emerged to capture the value of on-line electronic channels. In electronic channels, channel functions in particular can be combined creatively to reduce costs and improve responsiveness and can be dispersed among several different players. We argue that buying processes and channel functions in electronic channels are of a key strategic nature. This paper presents an analysis of the challenges and requirements of electronic channels and illustrates these with the KLM Cargo Cyberpets case. Cyberpets refers to Pets Travel Service, KLM Cargo's recent addition to its electronic commerce portfolio which organizes and facilitates air transportation plus ancillary services for cats and dogs. The existence of ‘Channel silos’ and channel coordination problems were found to be one of the main inhibitors for channel effectiveness and success. The paper concludes with suggestions for managers as well as for researchers.


2018 ◽  
Vol 24 (4) ◽  
pp. 1303-1322 ◽  
Author(s):  
Daniela Carlucci ◽  
Fernando A. F. Ferreira ◽  
Giovanni Schiuma ◽  
Marjan S. Jalali ◽  
Nelson J. S. António

Integrating sustainability into the banking activity is an increasingly necessary but extremely challenging issue currently facing financial institutions. It is therefore becoming ever more important to understand the key determinants of sustainable banking and how they inter-relate with each other. This research aims to build a cognitive map – a fuzzy cognitive map (FCM) in particular – to model, dynamically analyze and test the reciprocal influence of key factors underlying sustainable banking. FCMs have been shown to be particularly useful for handling complex decision problems characterized by lack of information or unavailable data. They constitute a methodological framework that allows for a reduction of omitted determinants – in this case, with regard to sustainable banking – and are typically able to provide a greater understanding of the cause-and-effect relationships between such determinants. We anticipate implications and practical applications for both bank managers and policymakers aiming to increase the efficiency of their decision making in the context of sustainable banking.


2019 ◽  
Vol 4 (6) ◽  
pp. 145-154 ◽  
Author(s):  
Erastus O. Ogunti ◽  
Oluwasegun A. Somefun ◽  
Benedict T. Terkura ◽  
Gideon E. Enoch

Precision in the real world is covered by imprecision and arithmetic operations serve as the foundations of computation. Since the introduction of Fuzzy Cognitive mapping, the dynamic model used to establish the fuzzy cognitive map, used conventional arithmetic operations on asymmetric fuzzy sets.Therefore, for a cognitive map, to be completely fuzzy, it should incorporate the use of fuzzy arithmetic and fuzzy numbers in describing the concept nodes and the cause-effect lines defining its structure. It then can be stated that the necessary and sufficient condition for a cognitive map to be fully fuzzy is that its dynamic activity or operation, be achieved only through fuzzy mathematics.This paper presents an introductory analysis into the peculiar design of the fully fuzzy structure of the cognitive map.


Author(s):  
Ada Scupola

The rapid developments of Internet and Web-based applications has shaped the era of the digital economy and changed the way enterprises operate. Internet is increasingly becoming part of the basic business model for many companies as organizations around the world are adopting new e-business models and integrated solutions to explore new ways of dealing with customers and business partners, new organizational structures, and adaptable business strategies (Singh & Waddell, 2004). According to Kalakota and Robinson (1999), e-business is the complex fusion of business processes, enterprise applications, and organizational structure necessary to create a high performance business model. E-business is therefore more than just having an Internet presence or conducting e-commerce transactions, it is a new business design that emphasizes a finely tuned integration of customer needs, technology, and processes (Kalakota et al., 1999). When discussing e-business, it is important to make a distinction between physical and digital products. A digital product is defined as a product whose complete value chain can be implemented with the use of electronic networks, for example it can be produced and distributed electronically, and be paid for over digital networks. Examples of digital products are software, news, and journal articles. The companies selling these products are usually Internet-based “digital dot coms” such as Yahoo and Google. On the contrary, a physical product cannot be distributed over electronic networks (e.g., a book, CDs, toys). These products can also be sold on Internet by “physical dot coms,” but they are shipped to the consumers. The corporations adopting e-business are distinguished into “bricks and mortar” companies, hybrid “clicks and mortar” companies (such as Amazon.com) and pure dot coms (Barua & Mukhopadhyay, 2000a). Many studies from the early days of deployment of information technology (IT) in organizations have struggled to measure the business value and profitability of information technology (Barua et al., 2000a). Many of these studies have showed that productivity gains are small or not existent and that the effects of information technology and e-commerce have to be often looked upon from a competitive advantage point of view (Barua, Konana, Whinston, & Yin, 2001; Porter & Miller, 1985; Scupola, 2003). Recent research has argued that to increase the business value of electronic commerce to a corporation is important to shift the focus from whether electronic commerce creates value to a company to “how to create value” and “how to optimize such value” (Barua et al., 2001). This can be achieved by exploring complementary relationships between electronic commerce, strategies and value chain activities (Scupola, 2002, 2003). Here this argument is taken further to show the importance of complementary relationships for the business value of e-business.


Author(s):  
Vivek Raich ◽  
Pankaj Maurya

in the time of the Information Technology, the big data store is going on. Due to which, Huge amounts of data are available for decision makers, and this has resulted in the progress of information technology and its wide growth in many areas of business, engineering, medical, and scientific studies. Big data means that the size which is bigger in size, but there are several types, which are not easy to handle, technology is required to handle it. Due to continuous increase in the data in this way, it is important to study and manage these datasets by adjusting the requirements so that the necessary information can be obtained.The aim of this paper is to analyze some of the analytic methods and tools. Which can be applied to large data. In addition, the application of Big Data has been analyzed, using the Decision Maker working on big data and using enlightened information for different applications.


2017 ◽  
Vol 16 (8) ◽  
pp. 1807-1817 ◽  
Author(s):  
Fabiana Tornese ◽  
Maria Grazia Gnoni ◽  
Giorgio Mossa ◽  
Giovanni Mummolo ◽  
Rossella Verriello

Sign in / Sign up

Export Citation Format

Share Document