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Actor engagement (AE) literature shows inconsistent understandings of engagement intensity. However, a holistic picture of the nature of AE intensity is foundational to advance empirical AE models and measurement frameworks. This paper provides a nuanced understanding of what engagement intensity is and how it unfolds on different network levels.

This conceptual study draws from a literature review and offers a comprehensive classification scheme of AE intensity. The literature review extends beyond marketing and service research and draws from the etymology of AE intensity in management and social science, specifically, the fields of student, employee and civic engagement.

The classification scheme clarifies that AE intensity at the individual level refers to actors' affective and cognitive tone and varying magnitudes (i.e. efforts, duration, activeness) of resource investments. At the dyad level, AE intensity represents relational strength, and at the network level, it refers to the degree of connectedness in the network.

The research reconciles conceptual inconsistencies in the AE literature. Our classification scheme goes beyond the individual actor and actor–actor dyad and offers a holistic overview of possible ways to operationalize AE intensity in networks.

The classification scheme can be used as a strategic checklist to include AE intensities of individual actors (e.g. customers and employees), relationships between these actors and network connectedness, when further developing engagement measurement tools and benchmarks.

This is the first study providing a comprehensive understanding of AE intensity from an individual, dyadic and network perspective.

This research investigates the role of customer forgiveness as the result of online service recovery transparency in predicting customer engagement. It also examines the moderating roles of timeliness and personalization in this proposed model.

An online survey study using retrospective experience sampling and a scenario-based experimental study were conducted to test the proposed hypotheses.

Customer forgiveness positively influences customer engagement and plays a mediating role in the relationship between service recovery transparency and customer engagement. Additionally, timeliness and personalization moderate the positive influence of service recovery transparency on customer forgiveness. The positive influence of service recovery transparency on customer forgiveness is more apparent when levels of timeliness and personalization decrease.

To retain focal customers' engagement after a service failure, firms must obtain their forgiveness. One of the firm's online complaint handling strategies to increase the forgiveness level of focal customers is to provide a high level of service recovery transparency (i.e. responding to their complaints in a public channel), especially when the firm is unable to respond to online complaints quickly or provide highly personalized responses.

This research provides new insights into the underlying mechanism of customer engagement by applying the concept of customer forgiveness. It also contributes to the social influence theory by applying the essence of the theory to explain how other customers' virtual presence during the online complaint handling influences the forgiveness of focal customers in order to gain their engagement. Additionally, it provides insight into the conditions under which the role of service recovery transparency can be very effective in dealing with online complaints.

This paper aims to present the literature review on engagement in marketing, specifically on the concept of actor engagement (AE), to identify the most influential countries, authors, journals and institutions, their structure and research lines.

This review was carried out from a bibliometric and network analysis of documents published in the Scopus and Web of Science databases.

A total of 223 documents were found that were scientifically mapped in this field. The network analysis identified four perspectives or research clusters: customer engagement, the conceptualization, co-creation of value and service ecosystems. Finally, the agenda for future research is presented.

This paper carries out a bibliometric and network analysis, so far not done, of the literature on AE in which its perspectives and future lines of research were identified.

This study aimed to examine the influence of four factors (intellectual, instrumental, self-actualizing and CPD cultural factors) on teachers' engagement in continuing professional development (CPD), specifically in the context of three lesson study activities: teaching research team activity, teaching research group activity and research lesson study activity in Chinese school settings.

A mixed-methods design was employed to examine the perceived effects of these factors on the engagement levels of 33 primary school teachers who participated in lesson study activities. The research used a questionnaire survey and semi-structured interviews as data collection instruments.

The results indicated that participants demonstrated higher levels of engagement in research lesson study and teaching research group, whereas their engagement in teaching research team was comparatively lower. Intellectual and CPD cultural factors emerged as the strongest predictors of engagement in all the activities. Self-actualizing factors highly influenced teachers' engagement in research lesson study. Instrumental factors mainly affected novice teachers and some mentors in the teaching research group, but not others.

This study addresses a gap in the existing literature by investigating factors influencing teachers' engagement in lesson study professional development. The observed variation in teachers' engagement behaviors and attitudes provides policy makers and school leaders with a deeper understanding of the underlying mechanisms and effects of these engagement factors on teachers' professional development.

This study explores whether and how four main factors of short-branded video content (content matching, information relevance, storytelling and emotionality) facilitate consumer engagement (likes, comments and shares), as well as the moderating effect of the release time (morning, afternoon and evening) in such relationships.

This study uses Python to write programs to crawl relevant data information, such as consumer engagement and short video release time. It combines coding methods to empirically analyze the impact of short-branded video content characteristics on consumer engagement. A total of 10,240 Weibo short videos (total duration: 238.645 h) from 122 well-known brands are utilized as research objects.

Empirical results show that the content characteristics of short videos significantly affected consumer engagement. Furthermore, the release time of videos significantly moderated the relationship between the emotionality of short videos and consumer engagement. Content released in the morning enhanced the positive impact of warmth, excitement and joy on consumer engagement, compared to that released in the afternoon.

The findings provide new insights for the dissemination of products and brand culture through short videos. The authors suggest that enterprises that use brand videos consider content matching, information relevance, storytelling and emotionality in their design.

From a broader perspective, this study constructs a new method for comprehensively evaluating short-branded video content, based on four dimensions (content matching, information relevance, storytelling and emotionality) and explores the value of these dimensions for creating social media marketing success, such as via consumer engagement.

This study aims to examine the research that examines psychological empowerment (PE) and employee engagement (EE) via bibliometric analysis. The study also aims to offer an overview of the present state of research and indicate potential future research topics.

The literature on PE and engagement was reviewed using bibliometric analysis based on publications in the Scopus database. The analysis comprises a three-field plot, theoretical framework examination, thematic analysis and quantitative analysis of the most frequently referenced publications, affiliations, countries and authors.

The study identifies research trends such as the use of the leadership lens, the examination of the different degrees of empowerment, the examination of alternate mechanisms to improve engagement and the impact of supervisor resources on these constructs. The study also suggests areas for future research, such as the influence of leadership and organizational culture on these two factors, the link between PE and EE and the impact of the changing structure of work via the increased use of technology and new work relations like gig work on these concepts.

This study offers a thorough and systematic overview of the state of the research in the area of PE and EE. This study emphasizes the significance of PE and engagement in management by giving a thorough overview of the present state of research and outlining future research possibilities.

The purpose of this study is to present a systematic literature review in the research area of engagement focusing on employee and work engagement. In this respect, this study aims to focus on the definitions between employee and work engagement and their differences, as well as to identify the antecedents of the relevant body of knowledge on engagement.

A systematic literature review was conducted drawing on an evidence base of 110 articles published in three- and 4-rated journals retrieved from the Academic Journal Guide (2018) during the years 2000–2021.

Through a descriptive and thematic analysis of the literature, the study maps the field as a whole, identifies and categorizes relevant engagement definitions as well as individual- and organization-level antecedents. Important insights and gaps in the existing research that may be exploited for further empirical studies are also pinpointed.

The study may stimulate future research and represent a reference point for scholars interested in the topic of engagement and at the same time provide added value to human resource practitioners that prefer evidence-based management over success stories.

Though prior research has addressed customer engagement (CE) with a focal object (e.g. a brand), the dynamics characterizing customers' engagement with different objects and the potential spillover from a customer's engagement with one object to that with another remains tenuous, exposing an important literature-based gap. The authors, therefore, develop a model proposing the existence of a spillover effect from customers' brand engagement to their engagement with brand-related content and suggest customers' personality trait of conscientiousness to moderate this effect.

An online survey-based experiment using 380 Danish Facebook users was conducted to test the model.

The results suggest customers' brand engagement as a significant predictor of their engagement with brand-related content, corroborating the proposed spillover effect. A weaker spillover effect is observed for highly (vs less) conscientious customers, substantiating the moderating role of customer conscientiousness. Moreover, customer conscientiousness is found to interact with brand content-related (i.e. commenting/content creation) task type and brand type (i.e. utilitarian/hedonic) (e.g. more conscientious customers are less likely to engage in brand-related content creation vs. commenting tasks), weakening the spillover effect.

This study extends prior research by quantitatively corroborating an intra-individual CE-based spillover effect from customers' brand engagement to their engagement with brand-related content. The authors also unearth a moderating role of customer conscientiousness, which interacts with brand- and brand content-related task type, on the spillover effect, informing the development of digital marketing strategies.

Recent literature on customer engagement has introduced the concept of “actor engagement,” which serves as the foundation for this study. The study aims to investigate the formation of engagement and engagement's impact on the performance of sharing economy platforms in an international context.

The study analyses unstructured data from 145,434 service providers and 1,703,266 customers on Airbnb across seven countries (USA, Canada, United Kingdom, Australia, South Africa, China and Singapore). Machine learning techniques are used to measure actor engagement, and the research model is tested using structural equation modelling (SEM).

The findings suggest that actor engagement, encompassing the reciprocal relationship between customer engagement and service provider engagement, has a significant impact on platform performance. The moderator analysis highlights the role of cultural differences in the relationship between customer engagement and service provider engagement and between actor engagement and platform performance. Specifically, the study reveals that actor engagement exhibits a more pronounced impact on platform performance in Western countries (such as the USA, Australia and the UK), compared to Eastern countries (such as China and Singapore).

The analysis of the conceptual model is based on the utilisation of behavioural data obtained from the Airbnb website. Due to the nature of the available data, proxies are employed as measures for variables such as platform performance.

This research is amongst the first to provide empirical evidence for actor engagement formation and the function's role in platform performance in the sharing economy. The global nature of Airbnb as a platform facilitates the investigation of country-level factors, specifically cultural values, across seven diverse countries and highlight differences from business to customer (B2C) business models.

This study aims to explore talent retention in knowledge-intensive industries by investigating the mediating processes between the existence and application of human resource management (HRM) and employee turnover. Toward this end, drawing on the conservation of resources and job demands–resources theories, a three-dimensional model is examined, which includes the relationship between HRM, knowledge management (KM) and change management (CM), as well as their relationship with employee engagement and employee turnover intention.

The proposed research model has been studied with a sample of 168 talented employees in over six European countries, using a quantitative approach, involving the structural equation modeling method. All data were gathered by a multidimensional questionnaire via prolific, an academic crowdsourcing platform.

Results indicated that knowledge-intensive services firms may achieve higher talent retention through the interaction of HRM with KM and CM practices, which may lead to enhanced employee engagement.

Possible limitations of the study include the relatively small sample size, the self-rate questions for the collection of data and the use of cross-sectional data.

To retain their talented employees, organizations should identify ways to improve their HRM, CM and KM practices. In addition, HR practitioners ought to include their talented employees in all organizational change and KM processes and create mechanisms that successfully support knowledge acquisition, creation, sharing, retention and codification.

To the best of the authors’ knowledge, this is the first study to examine various factors of retaining talented employees in knowledge-intensive services. Furthermore, the study took place in six European countries, i.e. UK, Poland, Italy, Germany, Portugal and Greece, where the research on talent retention is very limited.