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Big Data-Driven Marketing: An Abstract

Samppa Suoniemi, Lars Meyer-Waarden, Andreas Munzel
2017 Zenodo  
Customer information plays a key role in managing successful relationships with valuable customers.  ...  Big data customer analytics use (BD use), i.e., the extent to which customer information derived from big data analytics guides marketing decisions, helps firms better meet customer needs for competitive  ...  Big data customer analytics use (BD use), i.e., the extent to which customer information derived from big data analytics guides marketing decisions, helps firms better meet customer needs for competitive  ... 
doi:10.5281/zenodo.823651 fatcat:7sb7nbpqira5dle5dgelfhm7xm

A hierarchical IMC data integration and measurement framework and its impact on CRM system quality and customer performance

James Peltier, Debra Zahay, Anjala S Krishen
2013 Journal of Marketing Analytics  
Our findings show that customer data needs are hierarchically ordered and that the sequential interaction between these variables impacts customer relationship management system quality and measurement  ...  This article tests a hierarchical integrated marketing communications data integration framework that utilizes customer information (transactional, demographic and psychographic) to develop personalized  ...  of the data collection phase of this research.  ... 
doi:10.1057/jma.2013.1 fatcat:kvc7ngqjfrgztc3afjdegxjsoa

Moving from Big Data to Smart Data for Enhanced Performance, Business Efficiency, and New Business Models

2020 Journal of International Business and Management  
Framework for advanced customer analytics The aim of customer analytics frameworks are to derive findings and knowledge to answer questions in a better manner.  ...  This Framework incorporates a wide number of aspects which are important for customer analytics.  ... 
doi:10.37227/jibm-2020-02-16 fatcat:u2w5lvuwivarbgosl57f47ycca

Adapted customer relationship management implementation framework: facilitating value creation in nursing homes

Stephen R. Gulliver, Uday B. Joshi, Vaughan Michell
2013 Total Quality Management and Business Excellence  
Customer Relationship -Data Management The healthcare industry is knowledge intensive and therefore healthcare institutions (i.e. nursing homes) have a growing need for customer knowledge management (  ...  It should be clear that implementation, for example, of data analytics (i.e. analytical CRM) will only support value characteristics D2, D3, D4, D5 and Care 1.  ... 
doi:10.1080/14783363.2013.776771 fatcat:ku3at7yzznbxdol6dmbgnkxndu

Success Factors for Analytical Customer Relationship Management in B2B Companies

Manuela Frieß, Karin Hartl, Olaf Jacob
2019 Americas Conference on Information Systems  
We were able to develop a general valid framework of CSF, which can be used as a reference for any firm operating in the B2B-market that want to engage in or increase the success of analytical CRM.  ...  In this research, we identify critical success factors (CSF) for analytical customer relationship applications, which are considered especially important for the success of business-to-business (B2B) companies  ...  However, we propose that data quality is an essential success factors for B2B companies that plan on implementing customer analytics.  ... 
dblp:conf/amcis/FriessHJ19 fatcat:43wsaev66jgfdnl4srtbqka7va

Customer Satisfaction and Loyalty : A Review in the Perspective of CRM

Raha Khalafinezhad, Choi Sang Long
2013 Jurnal Teknologi  
Base on the literature review, four identified critical CRM elements are employees' behavior, quality of customer services, relationship development and interaction management.  ...  This paper analyzes the concept of Customer Relationship Management (CRM).  ...  Acknowledgement Authors wish to acknowledge the Faculty of Management, Universiti Teknologi Malaysia for supporting and sponsoring this publication.  ... 
doi:10.11113/jt.v64.2237 fatcat:p6n6jjjczjgc3kh33mzxz27cza

Analyzing and Conceptualizing Monitoring and Analytics as a Service for Grain Warehouses [chapter]

Tien-Dung Cao, Hong-Linh Truong
2016 Studies in Computational Intelligence  
Leveraging the cloud computing model, big data analytics and Internet of Things (IoT), we design a conceptual framework to monitor various important information for grain warehouses and present different  ...  data analytics services that should be provided.  ...  We thank Quang-Hieu Vu and Tran-Vu Pham for their fruitful discussion on IoT and data analytics.  ... 
doi:10.1007/978-3-319-31277-4_14 fatcat:ju3uoisapzcorh63tyivyvv37y

A Framework for Boosting Revenue Incorporating Big Data

Laura Lynn Segarra, Hamed Almalki, John Elabd, Jonathan Gonzalez, Michal Marczewski, Moaad Alrasheed, Luis Rabelo
2016 Journal of Innovation Management  
Our results provide a framework that enhances traditional analytical frameworks through the integration of big data analytics.  ...  However leveraging big data can create value for businesses. Although various frameworks exist for implementing analytics, few accommodate the implementation of big data analytics.  ...  We propose a business enterprise framework for boosting revenue that incorporates the use of big data analytics.  ... 
doi:10.24840/2183-0606_004.001_0005 fatcat:vma7l6zokbc5xkhula4nnyqwku

Towards Effective Customer Relationship Management In Oman: Role Of Big Data

Tarek Khalil, Mohammad Al-Refai, Amer Nizar Fayez, Mohammed Sharaf Qudah
2017 Zenodo  
We established a framework to explore the feasibility of enabling big data within the customer relationship management (CRM) strategies in Oman for creating sustainable business profit nationwide.  ...  A qualitative evaluation was made based on predictive analytics convergence and big data facilitated CRM.  ...  Also would like to thank the dean at Sur University Collage for his motivation toward doing this research.  ... 
doi:10.5281/zenodo.1039627 fatcat:bd4d2bzikjavtiodukzlwtr6h4

Big data reduction framework for value creation in sustainable enterprises

Muhammad Habib ur Rehman, Victor Chang, Aisha Batool, Teh Ying Wah
2016 International Journal of Information Management  
We also propose a framework for early data reduction at customer end and present a business model for end-toend data reduction in enterprise applications.  ...  However, cloud service utilization costs increase because of big data analytics and value creation activities for enterprises and customers.  ...  The article also presents a novel framework for early data reduction at the customer end wherein the analytic-driven data reduction approaches convert raw data streams into actionable knowledge patterns  ... 
doi:10.1016/j.ijinfomgt.2016.05.013 fatcat:4a44xeyb4rfkbf4pxbizijdjty

Use Of Big Data Analytics For Customer Relationship Management: Point Of Parity Or Source Of Competitive Advantage?

Samppa Suoniemi, Lars Meyer-Waarden, Andreas Munzel, Alex R. Zablah, Detmar W. Straub
2017 Zenodo  
Customer information plays a key role in managing successful relationships with valuable customers.  ...  Big data customer analytics use (CA use), i.e., the extent to which customer information derived from big data analytics guides marketing decisions, helps firms better meet customer needs for competitive  ...  We advance a theoretical framework to examine how informational and organizational factors act to enhance big data customer analytics use, which in turn influences customer relationship and financial performance  ... 
doi:10.5281/zenodo.823666 fatcat:drkpamb46fhdxfxulr5cxmilfe

A capability based framework for customer experience focused digital transformation [chapter]

Neeraj Sahu, School of Business Information Technology and Logistics RMIT University, AU, Hepu Deng, Alemayehu Molla, School of Business Information Technology and Logistics RMIT University, AU, School of Business Information Technology and Logistics RMIT University, AU
2018 Australasian Conference on Information Systems 2018  
Data analytics Data analytics is about processing customer data captured through various digital channels for better customer understanding.  ...  patterns (Ward and Peppard 2016), implementation of customer analytics (Ajmal et al. 2010) , data reliability (Astri 2015) and data quality and usability (Olszak and Ziemba 2012) .  ... 
doi:10.5130/ fatcat:7zmn65s7tfgyrjrdn2cptcn6wy

AI redefining the hospitality industry

Huub Ruel, Esther Njoku
2020 Journal of Tourism Futures  
It develops a theoretical framework to evaluate its impact on employee engagement, retention and productivity levels, stemming from its potential implications for service quality and customer satisfaction  ...  that facilitate improvements in service quality and customer satisfaction.  ...  Employee productivity levels will have a significant positive relationship with service quality. H4. Service quality will have a significant positive relationship with customer satisfaction. H5.  ... 
doi:10.1108/jtf-03-2020-0032 fatcat:d75t672wazfyderrpnj7k5alrq

Examine How Data Collection Directly and Indirectly, Impacts CRM Data Quality and Customer Performance

Fakhraddin Maroofi, Somayeh Amiri
2016 Journal of Asian Scientific Research  
Moreover, the long life factor of the customer relationship is making an initial impression on a customer, but without an ongoing and private communication plan, the customer can finally switch to another  ...  Hence, the role of CRM System Quality is essential for firms to increase market insight and performance.  ...  The finding to the present literature by supplying a framework are for a how customer data can be used to design private and profitable communication strategies.  ... 
doi:10.18488/journal.2/2016.6.1/ fatcat:b5uqhmiyx5aw5aytbkq2rpmhoi

Data Analytics Framework for Industry 4.0: Enabling Collaboration for Added Benefits

Sanja Lazarova-Molnar, Nader Mohamed, Jameela Al-Jaroodi
2019 IET Collaborative Intelligent Manufacturing  
The aspect of the data analytics needs for Industry 4.0 that focuses on customers' behaviour and relationships, we term as Customer Analytics.  ...  Case study In the following we provide a case study for the customers data analytics aspect, illustrating how our proposed CDA framework would facilitate the relevant processes.  ... 
doi:10.1049/iet-cim.2019.0012 fatcat:zxbt5ri7hzgbbiftnnjvf35tg4
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