Search results
1 – 4 of 4Ser Zian Tan, Fandy Tjiptono, Lin Yang, Argho Bandyopadhyay and Park Thaichon
Drawing upon extended-self theory, this research aims to understand how different access modes of consumption and product type influence consumers' perceptions of self-product…
Abstract
Purpose
Drawing upon extended-self theory, this research aims to understand how different access modes of consumption and product type influence consumers' perceptions of self-product connection and sense of individual and collective ownership.
Design/methodology/approach
Two experiments assessed the impact of access modes (temporary vs permanent) and product types (tangible vs intangible) on individual and collective psychological ownership (IPO and CPO) as well as the mediating role of self-product connection in these relationships.
Findings
Temporary access reduces IPO compared to permanent access. Moreover, self-product connection mediates the relationship between access modes and both IPO and CPO. Product type significantly moderates the degree of psychological ownership, with intangible products having a notable influence on the impacts of access modes on IPO and CPO.
Practical implications
Understanding the nuances of access-based consumption and its effects on psychological ownership can inform marketers and businesses in designing more effective strategies for product offerings and access modes. Highlighting self-product connection can aid in cultivating stronger consumer relationships and loyalty in access-based consumption contexts.
Originality/value
This study contributes to the existing literature on consumer access-based consumption by shedding light on the changing dynamics of material possessions and the psychological mechanisms underlying ownership perceptions in access-based models.
Details
Keywords
Shubhi Gupta, Govind Swaroop Pathak and Baidyanath Biswas
This paper aims to determine the impact of perceived virtuality on team dynamics and outcomes by adopting the Input-Mediators-Outcome (IMO) framework. Further, it also…
Abstract
Purpose
This paper aims to determine the impact of perceived virtuality on team dynamics and outcomes by adopting the Input-Mediators-Outcome (IMO) framework. Further, it also investigates the mediating role of team processes and emergent states.
Design/methodology/approach
The authors collected survey data from 315 individuals working in virtual teams (VTs) in the information technology sector in India using both offline and online questionnaires. They performed the analysis using Partial Least Squares Structural Equation Modelling (PLS-SEM).
Findings
The authors investigated two sets of hypotheses – both direct and indirect (or mediation interactions). Results show that psychological empowerment and conflict management are significant in managing VTs. Also, perceived virtuality impacts team outcomes, i.e. perceived team performance, team satisfaction and subjective well-being.
Research limitations/implications
The interplay between the behavioural team process (conflict management) and the emergent state (psychological empowerment) was examined. The study also helps broaden our understanding of the various psychological variables associated with teamwork in the context of VTs.
Practical implications
Findings from this study will aid in assessing the consequences of virtual teamwork at both individual and organisational levels, such as guiding the design and sustainability of VT arrangements, achieving higher productivity in VTs, and designing effective and interactive solutions in the virtual space.
Social implications
The study examined the interplay between behavioural team processes (such as conflict management) and emergent states (such as psychological empowerment). The study also theorises and empirically tests the relationships between perceived virtuality and team outcomes (i.e. both affective and effectiveness). It may serve as a guide to understanding team dynamics in VTs better.
Originality/value
This exploratory study attempts to enhance the current understanding of the research and practice of VTs within a developing economy.
Details
Keywords
Mojtaba Barari, Lars-Erik Casper Ferm, Sara Quach, Park Thaichon and Liem Ngo
Artificial intelligence (AI) has become a pivotal technology in both marketing and daily life. Despite extensive research on the benefits of AI, its adverse effects on customers…
Abstract
Purpose
Artificial intelligence (AI) has become a pivotal technology in both marketing and daily life. Despite extensive research on the benefits of AI, its adverse effects on customers have received limited attention.
Design/methodology/approach
We employed meta-analysis to synthesise effect sizes from 45 studies encompassing 50 independent samples (N = 19,503) to illuminate the negative facets of AI's impact on customer responses.
Findings
Adverse effects of AI, including privacy concern, perceived risks, customer alienation, and uniqueness neglect, have a negative and significant effect on customers' cognitive (perceived benefit, trust), affective (attitude and satisfaction) and behavioural responses (purchase, loyalty, well-being). Additionally, moderators in AI (online versus offline), customer (age, male vs. female), product (hedonic vs. utilitarian, high vs. low involvement), and firm level (service vs. manufacturing) and national level (individualism, power distance, masculinity, uncertainty avoidance, long-term orientation) moderate these relationships.
Practical implications
Our findings inform marketing managers about the drawbacks of utilising AI as part of their value proposition and provide recommendations on how to minimise these effects in different contexts. Additionally, policymakers need to consider the dark side of AI, especially among the vulnerable groups.
Originality/value
This paper is among the first research studies that synthesise previous research on the dark side of AI, providing a comprehensive view of its diminishing impact on customer responses.
Details
Keywords
Stephanie Q. Liu, Khadija Ali Vakeel, Nicholas A. Smith, Roya Sadat Alavipour, Chunhao(Victor) Wei and Jochen Wirtz
An AI concierge is a technologically advanced, intelligent and personalized assistant that is designated to an individual customer, proactively taking care of that customer’s…
Abstract
Purpose
An AI concierge is a technologically advanced, intelligent and personalized assistant that is designated to an individual customer, proactively taking care of that customer’s needs throughout the service journey. This article envisions the idea of AI concierges and discusses how to leverage AI concierges in the customer journey.
Design/methodology/approach
This article takes a conceptual approach and draws insights from literature in service management, marketing, psychology, human-computer interaction and ethics.
Findings
This article delineates the fundamental forms of AI concierges: dialog interface (no embodiment), virtual avatar (embodiment in the virtual world), holographic projection (projection in the physical world) and tangible service robot (embodiment in the physical world). Key attributes of AI concierges are the ability to exhibit semantic understanding of auditory and visual inputs, maintain an emotional connection with the customer, demonstrate proactivity in refining the customer’s experience and ensure omnipresence through continuous availability in various forms to attend to service throughout the customer journey. Furthermore, the article explores the multifaceted roles that AI concierges can play across the pre-encounter, encounter and post-encounter stages of the customer journey and explores the opportunities and challenges associated with AI concierges.
Practical implications
This paper provides insights for professionals in hospitality, retail, travel, and healthcare on leveraging AI concierges to enhance the customer experience. By broadening AI concierge services, organizations can deliver personalized assistance and refined services across the entire customer journey.
Originality/value
This article is the first to introduce the concept of the AI concierge. It offers a novel perspective by defining AI concierges’ fundamental forms, key attributes and exploring their diverse roles in the customer journey. Additionally, it lays out a research agenda aimed at further advancing this domain.
Details