2022
DOI: 10.1007/s12599-022-00744-0
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CURIE: Towards an Ontology and Enterprise Architecture of a CRM Conceptual Model

Abstract: Companies face the challenge of managing customer relationships (CRM) in a context marked by a drastic digital transformation and unbridled evolution of consumer behavior, exacerbated by the COVID-19 pandemic. The customer is more demanding, has access to the global market and interacts with companies through multiple digital channels, such as email, social networks, mobile apps or instant messaging. In this situation, the success of a CRM implementation highly depends on information technology and the applica… Show more

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Cited by 8 publications
(7 citation statements)
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References 46 publications
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“…The significant results of this study have detected several key factors related to the research theme. The most prominent critical factors identified were customer preferences [41][42][43], consumer dynamism [44], big data influence [45], consumer informedness [46], e-satisfaction [47], consumer privacy [48], and purchasing behavior [49]. 3.…”
Section: Study Characteristicsmentioning
confidence: 99%
“…The significant results of this study have detected several key factors related to the research theme. The most prominent critical factors identified were customer preferences [41][42][43], consumer dynamism [44], big data influence [45], consumer informedness [46], e-satisfaction [47], consumer privacy [48], and purchasing behavior [49]. 3.…”
Section: Study Characteristicsmentioning
confidence: 99%
“…The synthesis of documents and research related to the DCLT process involves: The compositions of distributed enterprise. A distributed enterprise consists of four components: 1) Distributed business [48][49][50][51][52] is the organization's main strategy, which takes into account the goals, vision, mission, and business operations of each campus. It consists of two sub-components: (1.1) strategy and (1.2) business process.…”
Section: The Dclt Processmentioning
confidence: 99%
“…OWL (Tiryaki and Atalay, 2020) CRM ontology enables automatic semantic interpretations of data received from various sources (such as sales process, service and call centre). OWL, SPARQL, SWRL (Fernández-Cejas et al, 2022) CRM ontology supports managers and information systems' specialists in the development and maintenance of applications.…”
Section: Businessmentioning
confidence: 99%
“…Improved pricing 1 (Wang and Zhou, 2014) Improved sales force efficiency and effectiveness 1 (Hladky et al, 2014) Improved products and services 2 (Alfrjani et al, 2016), (Ali et al, 2020) Innovative products and services 1 (Kudryavtsev et al, 2020) Customer complaint management 2 (Jarrar et al, 2003), (Thakor and Sasi, 2015) Customer segmentation 1 (Yılmaz and Alptekin, 2013) Supporting users of CRM systems 11 (Osterwalder and Pigneur, 2002), (Gottgtroy and Gottgtroy, 2003), (Osterwalder and Pigneur, 2003), (Caliusco et al, 2004), (Damme et al, 2007), (Yan and Zha, 2010), , (Wu, 2012), (Tiryaki and Atalay, 2020), (Blankenberg et al, 2022), (Fernández-Cejas et al, 2022) Supporting CRM projects 1 (Lee et al, 2007) Integration of information in a CRM system 2 (Hladky and Maltseva, 2013), (Tiryaki and Atalay, 2020) Description of business processes 2 (Goy et al, 2008), (Magro and Goy, 2012) Personalization of business processes 1 (Liang et al, 2011) Social branding 1 (Zailskaitė-Jakštė and Damaševičius, 2014) From the data represented in Table 4, it can be concluded that each of the listed CRM benefits B1-B8 is addressed in at least one study selected for the systematic literature review.…”
Section: Benefits For Crm Count Of Publications Publicationsmentioning
confidence: 99%