Impact of big data analytics on supply chain performance: an analysis of influencing factors

This paper aims to understand the impact of big data analytics on the retail supply chain. For doing so, we set our context to select the best big data practices amongst the available alternatives based on retail supply chain performance. We have applied TODIM (an acronym in Portuguese for Interactive Multi-criteria Decision Making) for the selection of the best big data analytics tools among the identified nine practices (data science, neural networks, enterprise resource planning, cloud computing, machine learning, data mining, RFID, Blockchain and IoT and Business intelligence) based on seven supply chain performance criteria (supplier integration, customer integration, cost, capacity utilization, flexibility, demand management, and time and value). One of the intriguing understandings from this paper is that most of the retail firms are in a dilemma between customer loyalty and cost while implementing the big data practices in their organization. This study analyses the dominance of the big data practices at the retail supply chain level. This helps the newly emerging retail firms in evaluating the best big data practice based on the importance and dominance of supply chain performance measures.Other Information Published in: Annals of Operations Research License: https://creativecommons.org/licenses/by/4.0See article on publisher's website: http://dx.doi.org/10.1007/s10479-022-04749-6</p

Do Social Media Marketing Activities Improve Brand Loyalty? An Empirical Study on Luxury Fashion Brands

This research aims to investigate the impact of social media marketing activities (SMMa) on brand loyalty directly and through mediating variables community engagement and lovemark. To propose a research model, we used the theories including lovemark theory, engagement theory and brand equity theory. As a result, this research investigates the impact of SMMa, community engagement, and lovemark on brand loyalty. Using an online survey, we collected data from 464 female participants who are following luxury fashion brands on major social networking sites including Facebook, Instagram, Snapchat, and Twitter. Results using PLS revealed that SMMa positively influences community engagement and lovemark. Moreover, we find positive relationships between community engagement, lovemark and brand loyalty. However, we find that SMMa has no direct influence on brand loyalty.Other Information Published in: Information Systems Frontiers License: https://creativecommons.org/licenses/by/4.0See article on publisher's website: http://dx.doi.org/10.1007/s10796-022-10264-7</p

Assessing Organizational Users’ Intentions and Behavior to AI Integrated CRM Systems: a Meta-UTAUT Approach

This paper tests the meta-analysis based unified theory of acceptance and use of technology (meta-UTAUT) model to predict the behavioral intentions of organizational users and their use behavior to artificial intelligence (AI) integrated customer relationship management (CRM) systems. Data was collected from 315 organizational users in India. The hypotheses draw on the theoretical underpinnings which have been statistically validated. Results show that CRM quality and satisfaction significantly influences an organization’s employees attitudes and intentions to use AI integrated CRM systems. The compatibility of CRM systems has, however, a limited impact on employees attitudes. The findings, which are aligned with the extended UTAUT model, provide useful insights into organizations and decision-makers for designing AI integrated CRM systems.Other Information Published in: Information Systems Frontiers License: https://creativecommons.org/licenses/by/4.0See article on publisher's website: http://dx.doi.org/10.1007/s10796-021-10181-1</p

Optimising small-scale electronic commerce supply chain operations: a dynamic cost-sharing contract approach

For small-scale electronic commerce supply chains, designing effective strategies to improve operational effectiveness, market share and long-term survival are essential aspects. However, researchers have given less attention in addressing these issues. This study proposes a dynamic cost-sharing contract for an e-tailer supply chain to address the issues of asymmetric information, long-term integration, and ineffective costs. We include consistency constraints to obtain stable incentives over time and eliminate the need for re-negotiation. The findings emphasise that the dynamic contract significantly reduces the overall supply chain costs. The consistency constraints guarantee high incentives, thus assuring the players remain in the total contract period and enable long-term integration.Other Information Published in: Annals of Operations Research License: https://creativecommons.org/licenses/by/4.0See article on publisher's website: http://dx.doi.org/10.1007/s10479-022-04662-y</p