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This study aims to assess the current state of service research in Africa, with the goal of identifying key areas for improvement. By examining both existing and emerging studies conducted by African researchers and those focused on Africa, the study seeks to advance research efforts that will benefit Africa’s service sector and its researchers.

This research combines a literature review of articles published in leading service journals by African-affiliated researchers with a qualitative study among African researchers conducting service research.

The findings highlight the micro-, meso- and macro-level implications for service research in Africa. The research develops a thoughtful reflection on service research and practice in Africa, considering both the unique challenges and opportunities of conducting service research in Africa, and offering insights for growth and development in the field.

The focus was only on service research from the African perspective. This research has implications for how African-affiliated researchers can enhance their contributions to global service research, as well as how scholars worldwide can conduct service research within the African context.

This study highlights how advancing service research in Africa can drive economic and social growth and identify actionable pathways for sustainable development. By focusing on the contributions of African researchers, the study provides insights that can inform policy, industry practices and educational institutions and that are tailored to the region’s unique service landscape.

The research highlights the importance of contextual grounding, inclusive collaboration and knowledge translation to deepen the understanding of localized challenges and solutions.

This article stands out by showcasing the distinctive perspectives of African scholars in service research, an area often underrepresented globally. It underscores the value of indigenous research in enhancing our understanding of Africa’s service economy and positions these insights as essential to advancing both local and global service research agendas.

This study examines the role of genuine small talk in business-to-business (B2B) communication through the lens of service language. By exploring and distinguishing genuine and mundane small talk, the research elucidates the impact of sincere, empathetic interactions on value co-creation and relational dynamics within the B2B contexts.

Employing an abductive qualitative research strategy, we conducted semi-structured interviews with 25 B2B professionals from Australian and Indonesian multinational corporations. Data analysis involved descriptive coding and thematic analysis, supplemented by network view strategies to visualize interrelations within the dataset.

The study finds that genuine small talk, characterized by sincere and contextually relevant exchanges, enhances relational enrichment, customer satisfaction and long-term loyalty in B2B interactions. Participants highlighted the importance of empathetic communication and personalized conversations in building trust and rapport. Conversely, mundane small talk, marked by superficiality, was found to erode trust and diminish the quality of client relationships. These insights underscore the critical importance of integrating genuine small talk into communication strategies to foster enduring business relationships and enhance overall service effectiveness.

This study contributes to the service literature by exploring the notion of genuine and mundane small talk in B2B communication, grounding them in service language perspective. It provides novel insights into the verbal and non-verbal elements of genuine small talk, offering practical implications for enhancing B2B negotiation strategies.

As a smart service, location-based advertising (LBA) integrates advanced technologies to deliver personalized messages based on a user’s real-time geographic location and needs. However, research has shown that privacy concerns threaten the diffusion of LBA. This research investigates how privacy-related factors (i.e. LBA type, privacy self-efficacy (PSE) and consumer generation) impact consumers’ value-in-use and their intention to use LBA.

This study developed and examined an LBA value-in-use framework that integrates the role of LBA type, consumers’ PSE and consumer generation into the technology acceptance model (TAM). Data were collected through two experiments in the field with a total of 374 consumers. The proposed relationships were tested using PROCESS modeling.

The results reveal that pull (vs push) LBA causes higher value-in-use in terms of perceived usefulness and perceived ease of use, leading to greater usage intention. Further, the differences in the mediated relationship between pull- and push-LBA are larger among consumers of low PSE (vs high PSE) and Generation Z (vs other generations). The findings suggest that the consumer value-in-use brought about by LBA diminishes when using push-LBA for low PSE and Generation Z consumers.

This research is the first to integrate the privacy-related interactions of LBA type and consumer characteristics into TAM to develop a TAM-based LBA value-in-use framework. This study contributes to the literature on service value-in-use, smart services and LBA by clarifying the boundary conditions that determine the effectiveness of LBA in enhancing consumers’ value-in-use.

Service research offering a view of both the dark and bright sides of smart technology remains scarce. This paper embraces a critical perspective and examines the conflicting outcomes of smart services on the customer experience (CX), with a specific focus on chatbots.

This study uses empirical research methods to examine a single case study where an online retail service provider implemented a chatbot for customer service. Using discourse analysis, we analysed 7,167 conversations between customers and the chatbot over a two-year period.

The analysis identifies seven general themes related to the effects of the chatbot on CX: interaction quality, information gathering, procedure literacy, task achievement, digital trust, shopping stress and shopping journey. We illuminate both positive (i.e. having a pleasant interaction, providing information, knowing procedures, improving tasks, increasing trust, reducing stress and completing the journey) and negative outcomes (i.e. having an unpleasant interaction, increasing confusion, ignoring procedures, worsening tasks, reducing trust, increasing stress and abandoning the journey).

The paper develops a comprehensive framework to offer a clearer view of chatbots as smart services in customer care. It delves into the conflicting effects of chatbots on CX by examining them through relational, cognitive, affective and behavioural dimensions.

Consumers' perceptions of product intelligence affect their willingness to accept smart offerings. This paper explores how people perceive various smart products based on their smartness profiles, composed of five distinct smartness facets. Additionally, the study investigates how these perceptions of product intelligence impact consumers' evaluation of factors that either promote or impede the adoption of smart products. These factors are examined as potential mediators in the adoption process. This paper aims to determine if the value-based adoption model can be applied to a broad range of smart service systems.

Consumers assessed one of 28 smart products in a scenario-based quantitative study. Multilevel structural equation modeling (SEM) is used to test the conceptual model, taking the nested data structure into account.

The findings show that product smartness essentially enhances usage intention via adoption drivers (enjoyment and usefulness) and reduces usage intention via adoption barriers (intrusiveness). In particular, the ability to interact in a humanlike manner increases the benefits consumers perceive, which in turn increases consumer acceptance. Only the smartness characteristic of awareness impairs usage intention, mediated by the perceived benefits of enjoyment and usefulness.

In contrast to previous research, which usually focuses on single smart products, this work examines a variety of different products, which allows for better transferability of the results to other smart offerings. Furthermore, prior research has mainly focused on single facets of product smartness or researched smartness on an aggregated level. By considering the consumer perception of each smartness facet, the authors gain deeper insights into the perceptual differences regarding product smartness and how this affects technology adoption via conflicting key acceptance drivers and barriers.