Angappa Gunasekaran

dblp:37/2275 · DBLP profile ↗
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5ranked-venue papers in the field
1as first author
2since 2021 · last 2023
—ORCID · conflict

Domains — venue-derived; a paper can count in several

Knowledge Engineering, Semantic Web & Information Systems · 5 (1 first)
YearPublicationVenuePosition
2023 Distributor Opportunism Toward the Supplier: A Social Network Perspective
abstract
Existing literature on distributor opportunism investigates the phenomenon from a dyadic perspective. One cannot rule out influence of network embeddedness within the supply-chain context, especially in an IT-enabled digital world. This paper investigates how a distributor’s relationship with other distributors in the network influences its opportunism toward the primary supplier and whether the outcome differs with national culture. Based on the social network theory and in-depth interviews of 21 managers, it develops a model to examine the role of three-dimensional “network embeddedness” on “distributor’s opportunism towards supplier” moderated by “national culture,” validated using structural equation modeling on a survey data of 250 managers. There is a significant effect of network embeddedness on distributor opportunism toward supplier. However, there are differences in the impact of the three dimensions: relational, structural, and cognitive embeddedness. National culture influences the outcome of only relational and cognitive embeddedness.
Angappa Gunasekaran, Girish Subramanian
J. Comput. Inf. Syst.2
2022 Operationalizing Artificial Intelligence-Enabled Customer Analytics Capability in Retailing
abstract
The value of customer analytics (CA) and artificial intelligence (AI) has been discussed separately at the forefront of research for business, marketing, and operations management. In spite of the strategic importance of CA and AI, there has been a paucity of research regarding the role of AI in operationalizing customer analytics (CA) capability. To address the gap, this study draws on a systematic literature review and thematic analysis for identifying the value-based CA capability antecedents that operationalize through AI in the context of retailing. The findings of this study extend the resource-based view (RBV)-capability theory in the spectrum of market orientation, and technology orientation to generate a better intelligence of CA capability in the retail context; while also providing theoretically grounded guidance to the practitioners. Hence, retail practitioners will likely be able to engage customers and enhance customer delight by incorporating CA capability dimensions, which is powered by AI.
Md Afnan Hossain, Shahriar Akter, Venkata Yanamandram, Angappa Gunasekaran
J. Glob. Inf. Manag.4
2011 Strategic enterprise information systems for global supply chain competitiveness
Angappa Gunasekaran, Eric W. T. Ngai
J. Strateg. Inf. Syst.1
2011 Drivers, barriers and critical success factors for ERPII implementation in supply chains: A critical analysis
S. C. Lenny Koh, Angappa Gunasekaran, T. Goodman
J. Strateg. Inf. Syst.2
2011 Knowledge management in supply chain: An empirical study from France
Karine Evrard Samuel, Marie-Lyne Goury, Angappa Gunasekaran, Alain Spalanzani
J. Strateg. Inf. Syst.3