Survey of SOA and cloud-based B2B e-commerce and supply chain applications

Chiang, Chia Chu; Toh, Albert K.

doi:10.1504/ijsss.2014.066645

Cited by 3 publications

(3 citation statements)

References 10 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The internet can enable instant information sharing and decreases the costs of acquiring information (Chakravarty et al, 2013). Further, cloud computing has unique capabilities that enable efficient, effective business processes (Chiang et al, 2014). For instance, supply chain collaboration offers flexibility that enables changes in products or service to meet customer needs (Cao et al, 2010).…”

Section: Argument Advantage and Source Credibility From The Elaboration Likelihood Modelmentioning

confidence: 99%

The determinants of using cloud supply chain adoption

Lin

2019

IMDS

View full text Add to dashboard Cite

Purpose It is necessary to determine the processes affecting cloud computing service applications in supply chain management (SCM) systems in order to facilitate cloud computing service exchanges and transmission of data among supply chain members. The paper aims to discuss these issues. Design/methodology/approach Drawing on the elaboration likelihood model (ELM) and integrating the commitment trust theory, this paper develops a theoretical model using argument advantage and source credibility constructs to examine the relationships among perceived usefulness, attitude, trust and usage intention. Findings The results indicate that both the central route and the peripheral route of the ELM have a positive influence on perceived usefulness. The argument advantage has a strong influence on perceived usefulness as compared to source credibility while source credibility has a strong impact on trust. Furthermore, the perceived usefulness of cloud computing services plays a pivotal role in attitude and intention, whereas trust has a weak effect on usage intention. Originality/value The proposed model not only explores the argument that potential user evaluations of both the advantages of cloud computing services and source credibility influence their affective states, which in turn affect their usage intention, but it also examines the mediating factors that influence processes related to cloud SCM acceptance.

show abstract

Section: Argument Advantage and Source Credibility From The Elaboration Likelihood Modelmentioning

confidence: 99%

The determinants of using cloud supply chain adoption

Lin

2019

IMDS

View full text Add to dashboard Cite

show abstract

“…Modernizing customer support systems necessitates a fundamental re-architecture of CRM systems to seamlessly integrate predictive analysis, AI, and machine learning. This re-imagination is more than a technological improvement; it is a strategic shift in harnessing advanced data to address consumer needs proactively [8]. Predictive analysis integration enables firms to move beyond reactive problem-solving by predicting client needs and giving answers before problems develop.…”

Section: Modernizing Customer Support Systemsmentioning

confidence: 99%

Proactive Customer Support: Re-Architecting A Customer Support/Relationship Management Software System Leveraging Predictive Analysis/AI and Machine Learning

2024

Eng OA

View full text Add to dashboard Cite

This scholarly article explores the transformative evolution of customer relationship management (CRM) systems by integrating predictive analysis, artificial intelligence (AI), and machine learning. Traditional CRM systems exhibit weaknesses in areas such as customer privacy exploitation and differential treatment, necessitating a reevaluation of their foundational principles. Integrating advanced analytics and machine learning algorithms emerges as a strategic avenue for modernizing CRM, allowing organizations to anticipate customer needs, address issues proactively, and foster meaningful relationships. The paper details the re-architecting of CRM systems, emphasizing considerations for organizations transitioning from traditional to modern approaches. Scalability, flexibility, and adaptability are essential principles for ensuring CRM systems evolve with dynamic customer needs. The article also addresses the challenges and ethical considerations of integrating predictive analysis and AI into CRM, emphasizing responsible data practices and transparent decision-making processes. Furthermore, the paper projects future trends in CRM evolution, outlining the significance of automation, personalization, reliance on AI, and social media integration. The convergence of these trends is poised to redefine customer experiences, creating a landscape where hyper personalization and seamless omnichannel interactions are the norm. In conclusion, the transformative evolution of CRM systems extends beyond technological upgrades to encompass a strategic shift in organizational culture and customer-centricity. By embracing the potential of predictive analysis, AI, and machine learning, organizations can navigate challenges, ensuring CRM remains committed to genuine customer satisfaction, trust, and enduring partnerships.

show abstract

“…Effective E-SC practices with suppliers, such as information sharing, joint planning and performance evaluation, can significantly enhance supply chain efficiency and resilience [35] [36]. Additionally, supplier-focused E-SC, such as supplier portals, e-procurement platforms and collaborative forecasting and planning systems, can facilitate these practices by enabling seamless communication, data exchange, and transparency across the supplier network [37].…”

Section: Customer Versus Supplier Focused E-sc and Organizational Per...mentioning

confidence: 99%

Examining the Direct and Indirect Impacts of E-Supply Chain Implementation on Performance: A Collaborative Approach

Sheyadi,

Shaukat

2023

IJSCM

View full text Add to dashboard Cite

The paper examines both the direct and indirect impact of implementing E-Supply Chain Management (E-SC) practices on performance of Omani manufacturing firms. A Structural Equation Modelling analysis was conducted based on a large scale survey applied to 108 manufacturing firms. Results of the research revealed that E-SC practices had a direct positive effect on both business and operational performance, where their direct effects on operational performance was stronger than their effect on business performance. The results also showed that while the indirect effect of E-SC on operational performance was partially supported, a full indirect effect between E-SC and business performance was found. Our findings imply that although a substitutive implementation of various types of E-SC can lead to marginal positive performance outcomes, achieving substantial performance outcomes might require more collaborative and highly coordinated approach of implementing these practices. Several other theoretical and practical insights are provided by the findings of this paper on understanding the potential benefits of the direct and indirect implementation of E-SC practices.

show abstract

Survey of SOA and cloud-based B2B e-commerce and supply chain applications

Cited by 3 publications

References 10 publications

The determinants of using cloud supply chain adoption

The determinants of using cloud supply chain adoption

Proactive Customer Support: Re-Architecting A Customer Support/Relationship Management Software System Leveraging Predictive Analysis/AI and Machine Learning

Examining the Direct and Indirect Impacts of E-Supply Chain Implementation on Performance: A Collaborative Approach

Contact Info

Product

Resources

About