Table 3 Research gap and future research... | Emerald Publishing

Table 3

Research gap and future research directions

	Future research directions
Antecedents
(Factors that precede adoption and influence readiness, acceptance, or resistance among relevant stakeholders)	How do cognitive and relational factors influence continued usage and post-adoption behaviors toward AI-enabled retail technologies? How does the alignment or misalignment of perceptions, incentives and readiness across consumers, employees, managers and supply chain partners jointly shape the success or failure of emerging retail technology adoption? What factors contribute to consumer or employee resistance toward emerging retail technologies, particularly in cases involving privacy concerns, failed implementations, or perceived loss of trust? Which specific features of emerging technologies are most influential in driving adoption across different cultural, institutional and market settings?
Implementation issues
(Processes, resources, governance that determine whether an adopted technology can be successfully deployed and scaled)	How can retailers integrate emerging technologies with legacy systems and fragmented supply chain infrastructures without creating major operational disruptions or excessive implementation costs? How do issues related to data governance, cybersecurity, regulation and consumer privacy affect the implementation of technologies such as AI, IoT and blockchain in retail operations? How do organizational capabilities, managerial attitudes toward AI and differences in consumer digital literacy influence the implementation and accessibility of omnichannel retail technologies across diverse user groups?
Outcomes
(Post-adoption consequences of technology use for behavior, decision-making, operational performance, relationships and broader stakeholder welfare)	How do different emerging technologies uniquely shape and change retail managers’ cognition, judgment and decision-making processes in retail operations? How do different emerging technologies influence customer perceptions such as bias, fairness and trust? How can retailers safeguard against the growing risks of cybersecurity threats and data breaches?
Theory development and integration
(Questions aimed at explaining mechanisms and boundary conditions, integrating theoretical perspectives, or identifying where established theories require extension)	How do technological, organizational and environmental factors jointly influence retailers’ ability to successfully integrate emerging technologies across omnichannel retail? How do institutional pressures, such as regulatory mandates, competitive imitation and evolving consumer expectations, shape the adoption and diffusion of emerging retail technologies across different countries and retail sectors? How can emerging retail technologies reduce consumer transaction costs related to search, purchasing, fulfillment and returns and which technology-enabled capabilities most strongly enhance consumer convenience and omnichannel experience?

	Future research directions
Antecedents
(Factors that precede adoption and influence readiness, acceptance, or resistance among relevant stakeholders)	How do cognitive and relational factors influence continued usage and post-adoption behaviors toward AI-enabled retail technologies? How does the alignment or misalignment of perceptions, incentives and readiness across consumers, employees, managers and supply chain partners jointly shape the success or failure of emerging retail technology adoption? What factors contribute to consumer or employee resistance toward emerging retail technologies, particularly in cases involving privacy concerns, failed implementations, or perceived loss of trust? Which specific features of emerging technologies are most influential in driving adoption across different cultural, institutional and market settings?
Implementation issues
(Processes, resources, governance that determine whether an adopted technology can be successfully deployed and scaled)	How can retailers integrate emerging technologies with legacy systems and fragmented supply chain infrastructures without creating major operational disruptions or excessive implementation costs? How do issues related to data governance, cybersecurity, regulation and consumer privacy affect the implementation of technologies such as AI, IoT and blockchain in retail operations? How do organizational capabilities, managerial attitudes toward AI and differences in consumer digital literacy influence the implementation and accessibility of omnichannel retail technologies across diverse user groups?
Outcomes
(Post-adoption consequences of technology use for behavior, decision-making, operational performance, relationships and broader stakeholder welfare)	How do different emerging technologies uniquely shape and change retail managers’ cognition, judgment and decision-making processes in retail operations? How do different emerging technologies influence customer perceptions such as bias, fairness and trust? How can retailers safeguard against the growing risks of cybersecurity threats and data breaches?
Theory development and integration
(Questions aimed at explaining mechanisms and boundary conditions, integrating theoretical perspectives, or identifying where established theories require extension)	How do technological, organizational and environmental factors jointly influence retailers’ ability to successfully integrate emerging technologies across omnichannel retail? How do institutional pressures, such as regulatory mandates, competitive imitation and evolving consumer expectations, shape the adoption and diffusion of emerging retail technologies across different countries and retail sectors? How can emerging retail technologies reduce consumer transaction costs related to search, purchasing, fulfillment and returns and which technology-enabled capabilities most strongly enhance consumer convenience and omnichannel experience?