Understanding Customer Experience Diffusion on Social Networking Services by Big Data Analytics

2016 ◽  
Vol 22 (4) ◽  
pp. 605-612 ◽  
Author(s):  
Francesco Piccialli ◽  
Jai E. Jung
2021 ◽  
Vol 8 (2) ◽  
pp. 109-121
Author(s):  
Hafidh Abdulla Hemed ◽  
Arwa Abubaker Abdullah Alamoudi ◽  
Anas Abdulkadir Abubakar Al Qassim ◽  
Bandar Mohammed Saif Qasem

Despite the increasingly important role that fintech play in the takaful industry, academic research in this area is quite limited. The overall aim of this paper it thus to explore the potential use of fintech in the Islamic insurance industry, especially in terms of its opportunities and challenges. Specifically, big data analytics and robo-advisory were explored and how takaful operators might incorporate them for better customer experience and gathering competitive intelligence. To remain competitive in a fast changing business environment, takaful operators need to identify and adopt fintech that could influence positively customer experience and optimise cost efficiency. This paper reviews the literature on big data analytics and robo-advisory, aiming to shed the light on the barriers and benefits of harnessing these technological advancements for takaful operators.


2018 ◽  
Vol 9 (6) ◽  
pp. 76
Author(s):  
Shital Vakhariya ◽  
Kirti Khanzode

Purpose: The objective of this research was to identify critical success factors for the adoption of Big Data in UAE retail. The use of Big Data, in this case, focused on improving its system of recommendations for a better understanding of consumer behavior and its impact on consumer experience.Design/Methodology/Approach: The research was done through interviews & observation of shopping patterns. A semi - structured interview script was used for the interviews.Findings: Based on the results, we outline some propositions related to the opportunities and obstacles for the implementation of Big Data in UAE retail.Originality/Value: The main contribution of the research was the identification of relevant factors to the adoption of Big Data that were not considered as critical for the adoption of previous technologies.Research Rationale: Few years ago, retailers had no idea who was buying what and from where they are buying and where not so bother about customer experience. Now Big Data helps retailers understand individuals' needs, allowing them to create segments to target. Big Data will help in understanding the buying trend. Not may study are conducted in UAE retail. This study will help to understand the adoption and role of Big data in UAE retail customer experience.This paper show how can big data analytics help to improve the retail business and can be applied in the sector and help in decision making.


2020 ◽  
Vol 116 ◽  
pp. 356-365 ◽  
Author(s):  
Maria Holmlund ◽  
Yves Van Vaerenbergh ◽  
Robert Ciuchita ◽  
Annika Ravald ◽  
Panagiotis Sarantopoulos ◽  
...  

2019 ◽  
Vol 54 (5) ◽  
pp. 20
Author(s):  
Dheeraj Kumar Pradhan

2020 ◽  
Vol 49 (5) ◽  
pp. 11-17
Author(s):  
Thomas Wrona ◽  
Pauline Reinecke

Big Data & Analytics (BDA) ist zu einer kaum hinterfragten Institution für Effizienz und Wettbewerbsvorteil von Unternehmen geworden. Zu viele prominente Beispiele, wie der Erfolg von Google oder Amazon, scheinen die Bedeutung zu bestätigen, die Daten und Algorithmen zur Erlangung von langfristigen Wettbewerbsvorteilen zukommt. Sowohl die Praxis als auch die Wissenschaft scheinen geradezu euphorisch auf den „Datenzug“ aufzuspringen. Wenn Risiken thematisiert werden, dann handelt es sich meist um ethische Fragen. Dabei wird häufig übersehen, dass die diskutierten Vorteile sich primär aus einer operativen Effizienzperspektive ergeben. Strategische Wirkungen werden allenfalls in Bezug auf Geschäftsmodellinnovationen diskutiert, deren tatsächlicher Innovationsgrad noch zu beurteilen ist. Im Folgenden soll gezeigt werden, dass durch BDA zwar Wettbewerbsvorteile erzeugt werden können, dass aber hiermit auch große strategische Risiken verbunden sind, die derzeit kaum beachtet werden.


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