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The paper aims to contribute to the broader literature on just transition by examining the intersection of technology and justice, and identifying opportunities for bridging the gap between theory and practice. The work seeks to emphasize the importance of transformative change, which ensures that no individual, community or sector is left behind in the transition towards a sustainable future, both on a global and local scale.

The paper explores the potential for linking justice to the ongoing technological transition, focusing on its impacts on climate and sustainability. Drawing on various sociological, environmental and technological studies, this work examines the intersections between justice and technological change. Through a qualitative analysis of case studies and a review of literature, the article offers insights and recommendations for policymakers, practitioners and scholars involved in the pursuit of a sustainable and equitable future.

The paper concludes that balancing environmental, social and economic goals is necessary on a large scale within the framework of a “just transition”, in order to ensure that no individual, community or sector is left behind in the path to a sustainable future. This involves reflecting on sensitive issues such as competition, intellectual property, market openness, liability and fighting against inequalities. Additionally, it requires considering smart and welfare policies from a multilevel perspective.

The originality of this work lies in its contribution to advancing the understanding of the limitations of a technology-centric approach to climate action and the need for systemic changes. The paper emphasizes the importance of addressing social equity, policy reform and collective action in conjunction with technological transition to achieve a sustainable future. It highlights the risks of overlooking the systemic drivers of the climate crisis, such as unsustainable consumption patterns and reliance on fossil fuels, while pursuing technological solutions. Furthermore, the work emphasizes the relevance of the Sustainable Development Goals of Agenda 2030 in guiding a just transition towards sustainability.

This study aims to explore the relationship between social commerce purchase intention and consumer psychological factors (i.e. resilience, vulnerability and personality traits) during the COVID-19 pandemic.

Drawing on social cognitive theory (SCT), an econometrical behavioral model was developed to explore the key determinants of online purchase behavior of 303 students in Greece. The research data were collected with a two-wave online survey (pre- and during the pandemic) which was distributed randomly to students in Generation Z.

A series of regression analyses revealed a positive effect of openness and a negative impact of extraversion and neuroticism on internet, Instagram and Facebook purchases during the pandemic. Findings suggest that loneliness serves as a moderator, while resilience and vulnerability have a positive effect on social media purchase behavior.

This study provides insights and implications for social commerce marketers and sheds light on the determinants of online purchase intentions of young consumers during the COVID-19 pandemic.

Elaborating on SCT, this study provides novel insights into young consumers’ internet use and online purchase behavior during the COVID-19 pandemic (i.e. longitudinal approach), by focusing on consumer vulnerability and resilience while also embedding personality traits and mental health aspects (i.e. loneliness levels during the pandemic).

This study aims to advance the understanding of digital marketing capability by conducting a comprehensive, systematic review of relevant literature at the firm level.

The study utilizes categorization and contextualization of qualitative methodologies to review the literature, using Scopus databases to collect 57 journals with 143 peer-reviewed papers as the main focus. The research gaps and DMCs were analyzed and synthesized and presented as collective categorization together with the proposed future direction framework.

This study proposed the relevance of digital marketing capabilities for businesses and the key measurement of business performance. The proposed dimensions of the digital marketing capabilities framework are to identify new research directions for both marketing and IT strands.

This study classify five main different themes in digital marketing incorporating with digital technologies (DTs) era and proposed relevance of digital marketing capabilities for businesses (B2C and B2B) and keys measurement of business performances.

The impact of frontline robots (FLRs) on customer orientation perceptions remains unclear. This is remarkable because customers may associate FLRs with standardization and cost-cutting, such that they may not fit firms that aim to be customer oriented.

In four experiments, data are collected from customers interacting with frontline employees (FLEs) and FLRs in different settings.

FLEs are perceived as more customer-oriented than FLRs due to higher competence and warmth evaluations. A relational interaction style attenuates the difference in perceived competence between FLRs and FLEs. These agents are also perceived as more similar in competence and warmth when FLRs participate in the customer journey's information and negotiation stages. Switching from FLE to FLR in the journey harms FLR evaluations.

The authors recommend firms to place FLRs only in the negotiation stage or in both the information and negotiation stages of the customer journey. Still then customers should not transition from employees to robots (vice versa does no harm). Firms should ensure that FLRs utilize a relational style when interacting with customers for optimal effects.

The authors bridge the FLR and sales/marketing literature by drawing on social cognition theory. The authors also identify the product categories for which customers are willing to negotiate with an FLR. Broadly speaking, this study’s findings underline that customers perceive robots as having agency (i.e. the mental capacity for acting with intentionality) and, just as humans, can be customer-oriented.

Social robots increasingly adopt service roles in the marketplace. While service research is beginning to unravel the implications for theory and practice, other scientific disciplines have amassed a wealth of empirical data of robots assuming such service roles. The purpose of this paper is to synthesize these findings from a role theory perspective with the aim of advancing role theory for human–robot service interaction (HRSI).

A systematic review of more than 10,000 articles revealed 149 empirical HRSI-related papers across scientific disciplines. The respective articles are analyzed employing qualitative content analysis through the lens of role theory.

This review develops an organizing structure of the HRSI literature across disciplines, delineates implications for role theory development in the age of social robots, and advances robotic role theory by providing an overarching framework and corresponding propositions. Finally, this review introduces avenues for future research.

This study pioneers a comprehensive review of empirical HRSI literature across disciplines adopting the lens of role theory. The study structures the body of HRSI literature, adapts traditional and derives novel propositions for role theory (i.e. robotic role theory), and delineates promising future research opportunities.

This paper aims to recall the attention on a key challenge for customer relationship management related to the role of human agents in the management of the “switch point” for ensuring the effectiveness and efficiency in a customer-machine conversation.

This study contributes to the discussion about the firms’ approach to artificial intelligence (AI) in frontline interactions under the conceptual umbrella provided by knowledge management studies.

This paper provides a theoretical model for clarifying the role of human intelligence (HI) in AI-based frontline interactions by highlighting the relevance of the actors’ subjectivity in the dynamics and perceptions of customer-machine conversations.

An AI-HI complementarity matrix is proposed in spite of the still dominant replacement view.