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Emerging transformative service research (TSR) studies adopt a service system lens to conceptualise well-being across the micro, meso and macro levels of aggregation, typically within an organisation. No TSR has yet examined well-being across multiple interconnected organisations at the highest level of aggregation, the meta or service ecosystem level. This study aims to explore how value co-creation and, critically, co-destruction among different actors across interacting organisations enhances or destroys multiple levels of well-being.

This study uses semi-structured, in-depth interviews to collect data from five types of key actors (n = 35): players, team owners, tournament operations managers, casters and viewers, across 29 interconnected organisations in the oceanic esports industry. The interviews were coded using NVivo 12 and thematically analysed.

Resource integration on each level of aggregation within a service ecosystem (micro, meso, macro and meta) can co-create and co-destroy value, which leads to the enhancement and destruction of multiple levels of well-being (individual, collective, service system and service ecosystem). Value co-creation and co-destruction, as well as the resultant well-being outcomes, were interconnected across the different levels within the service ecosystem.

To the best of the authors’ knowledge, this research is the first to incorporate a multi-actor perspective on the well-being consequences of value co-creation and value co-destruction within a service ecosystem as opposed to service system. Thus, this research also contributes to the minimal research which examines the outcomes of value co-destruction, rather than value co-creation, at multiple levels of aggregation.

Despite the advances in theory and practice about player behaviour in esports gaming literature, there is a lack of understanding as to whether esports are compatible with the values of Olympism and if they should be considered for future Games editions. The current study advances this line of research by examining esports player experiences, their effects on perceiving Olympic values, and the support towards the Olympics in order to verify if differences occur according to the cross-cultural environment.

Using a sample of 671 esports amateur gamers from three countries (Portugal, Brazil and Japan), structural equation models and a multigroup analysis were performed to analyse the differences in the hypothesized paths existing between the groups.

Results reveal that player in-game emotional experiences positively influence Olympic values perception across countries. The excellence and friendship values showed a positive effect on support intentions to the Games towards Portuguese and Brazilian players, while the respect value was the strongest predictor towards behavioural intentions in Japan. Cultural backgrounds and game genre in each country can explain player attitude towards the Olympic values shared on the online environment.

This study is able to provide a better understanding of how the Olympic values serve as a gratification in different cross-cultural environments according to the theory of uses and gratifications (U&G) and the theory of cultural dimensions. Complementarily, these findings can be used as valuable information for esports publishers and developers attempting to spread the Olympic values in the esports industry.

This paper studies the interactive valuation discourses of an online user community (transfermarkt.de) that seeks to determine market values for soccer players. Despite their seemingly casual nature, these values have featured in newspapers, transfer negotiations, academic research, and capital market communication – and have thus become reified.

The paper employs netnographic research methodology to collect and thematically analyze a wide range of user entries on the platform. These entries are studied using theoretical insights from the sociology of quantification and valuation.

The analysis reveals how values are constructed in constant interaction between value-proposing users and value-justifying “experts.” This dynamic form of relational valuation positions players relative to one another as well as to actual transactions on the transfer market. In the absence of authoritative guidelines, it is this possibility and affordance for interaction that enacts a coherent valuation regime. The paper further reveals the platform's response to a disruptive event, which risked bringing the user-expert dynamics to a halt, requiring intervention from the platform to repair its valuation frame.

The paper responds to increased scholarly interests in the valuation of professional athletes. It contributes to the extant literature on valuation, first, by analyzing the dynamic valuation work that feeds into the social construction of values and, second, by studying platform participation and user interaction in a socially engineered online space.

Integrating the resource-based view (RBV) with pay dispersion research, the authors examine how the allocation of resources between hiring new employees and compensating current employees, as well as the allocation of resources among new employees, affects organizational performance.

The authors use panel data on Major League Baseball teams. The authors also use system generalized method of moments (GMM) estimations to control for the impact of past performance on current performance, unobserved individual heterogeneity and omitted variable bias.

The authors find that the larger the portion of the human resources (HR) budget allocated to hiring new employees, the poorer organizational performance becomes unless the focal organization has already significantly underperformed. The authors also find that pay concentration among new employees has a positive impact on organizational performance unless the focal organization has already significantly overperformed.

This study extends RBV research by examining how resource allocation patterns affect organizational performance, which has rarely been studied. Moreover, by showing the organizational context's significant effect on the outcome of financial allocation for resource acquisition, this study extends both the RBV research and the pay dispersion research.

Cybersecurity vulnerabilities are often due to human users acting according to their own ethical priorities. With the goal of providing tailored training to cybersecurity professionals, the authors conducted a study to uncover profiles of human factors that influence which ethical principles are valued highest following exposure to ethical dilemmas presented in a cybersecurity game.

The authors’ game first sensitises players (cybersecurity trainees) to five cybersecurity ethical principles (beneficence, non-maleficence, justice, autonomy and explicability) and then allows the player to explore their application in multiple cybersecurity scenarios. After playing the game, players rank the five ethical principles in terms of importance. A total of 250 first-year cybersecurity students played the game. To develop profiles, the authors collected players' demographics, knowledge about ethics, personality, moral stance and values.

The authors built models to predict the importance of each of the five ethical principles. The analyses show that, generally, the main driver influencing the priority given to specific ethical principles is cultural background, followed by the personality traits of extraversion and conscientiousness. The importance of the ingroup was also a prominent factor.

Cybersecurity professionals need to understand the impact of users' ethical choices. To provide ethics training, the profiles uncovered will be used to build artificially intelligent (AI) non-player characters (NPCs) to expose the player to multiple viewpoints. The NPCs will adapt their training according to the predicted players’ viewpoint.

The social and economic importance esports has gained over the past decades has led to a quickly evolving academic interest in the topic. Yet, current perspectives on esports frequently are not precise enough, too context-specific and/or focus on the question whether esports is sports or not. This means that no precise structural concept has been provided thus far. Such a conceptualization as well as a categorization of esports and related types of video gaming are provided in this paper.

This paper is based on a narrative review considering academic literature from 2000 to 2021 and publications of relevant esports organizations. The review is conceptually extended by structural parallels to traditional sports.

The central outcome of this research is conceptualizing esports as a victory-driven, organized performance comparison of exclusively human players playing video games in a competitive setting. This comparison is based solely on the performance achieved during a defined time frame according to fixed rules with comparably equal team (starting) conditions. This conceptualization is embedded in a general categorization of video gaming based on structural similarities with and differences to esports. Moreover, characteristics that were rejected in regards to the conceptualization and the categorization are discussed.

This paper provides a comprehensive categorization of esports and other types of video gaming based on structural similarities and differences. It is thus of high relevance for academia and sport management practice alike and can further the development in both fields.

Failed deliveries (i.e. deliveries not accomplished due to the absence of customers) represent a critical issue in B2C (Business-to-consumer) e-commerce last-mile deliveries, implying high costs for e-commerce players and negatively affecting customer satisfaction. A promising option to reduce them would be scheduling deliveries based on the probability to find customers at home. This work proposes a solution based on presence data (gathered through Internet of Things [IoT] devices) to organise the delivery tours, which aims to both minimise the travelled distance and maximise the probability to find customers at home.

The adopted methodology is a multi-method approach, based on interviews with practitioners. A model is developed and applied to Milan (Italy) to compare the performance of the proposed innovative solution with traditional home deliveries (both in terms of cost and delivery success rate).

The proposed solution implies a significant reduction of missed deliveries if compared to the traditional operating mode. Accordingly, even if allocating the customers to time windows based on their availability profiles (APs) entails an increase in the total travel time, the average delivery cost per parcel decreases.

On the academic side, this work proposes and evaluates an innovative last-mile delivery (LMD) solution that exploits new AI (Artificial Intelligence)-based technological trends. On the managerial side, it proposes an efficient and effective novel option for scheduling last-mile deliveries based on the use of smart home devices, which has a significant impact in reducing costs and increasing the service level.

The purpose of this manuscript is to highlight how gamification is transforming recruitment, retention and training to resolve employee engagement challenges in the ever-changing workplace. In collaborating with game industry experts and designers, the authors taught students team leadership skills by demonstrating how to design and play their own original cooperative strategy games. In doing so, students learn what gamification is and how it can be used to train our multigenerational workforce; how designing board games teaches team leadership skills (e.g. communication, conflict management, power, decision-making); and how to develop cooperative strategy game elements (player characters, roles and actions) that motivate engaging gameplay with successful learning outcomes.

In this paper, the authors discuss the practical implications of a three-phase semester-long experiential learning experience, where game design demonstrates to students how employees can work collaboratively together in teams. Students’ developed storylines (i.e. strategic objectives) including motivation challenges, social media communication breakdowns, sabotage, global sustainability and other real-world challenges. In Phase 1, students learn about how companies are using gamification in training high-performing teams. In Phase 2, students play a cooperative strategy game Forbidden Island with their student teams. In Phase 3, students design (and play) their original cooperative strategy game, instructions booklet and build a facilitation guide.

Approximately, 400 students developed 48 original cooperative strategy games that can be used to teach team leadership skills. These student teams designed cooperative strategy board games – in which the entire team either wins or loses based on their control of valued resources and player actions as key decision-making points. The data and feedback indicate that the learning experience helped them practically consider team interdependence in making effective decisions, and in creating creative self-efficacy, resilience and self-confidence in their own leadership voice. In this manuscript, the authors focus on providing an overview and implementation plan for our semester-long experiential learning exercise.

This experiential exercise was implemented from 2019 to 2023 in different learning modalities (face-to-face, hybrid, 100% synchronous online learning) and during challenging times (prepandemic, pandemic and postpandemic learning environments). These varying experiences provided them with a challenge to persevere and learn about their own interpersonal skills and resilience in a creative engaging way with limited resources. Students developed 26 original games during 100% synchronous remote learning due to COVID. To the best of the authors’ knowledge, no other business school is working with gaming industry experts and game designers to teach team leadership to this degree during pre- and postpandemic environments.

This paper aims to develop a conceptual model to understand how different gamification designs (hedonic and utilitarian) evoke different emotions and impact subsequent patronage intentions for online consumers in different mindsets.

The authors first conducted a content analysis study and then tested the model with two online experiments [both 2 × 2 factorial designs – gamification (hedonic/utilitarian) and mindset (implemental/deliberative), with different utilitarian and hedonic products].

Gamification with hedonic benefits influences website patronage intentions by evoking promotion emotions, while gamification with utilitarian benefits does so by evoking prevention emotions. Gamification with hedonic benefits has a stronger impact on consumers shopping with deliberative mindsets, while gamification with utilitarian benefits works better for those with implemental mindsets.

Future research may extend the present work by considering other types of gamification.

Managerially, e-tailers may use gamification with hedonic aspects for consumers in deliberative mindsets and utilitarian aspects for those in implemental mindsets.

To the best of the authors’ knowledge, this research is the first to draw a link between mindsets and gamification. This research is also the first to operationalize gamification as hedonic and utilitarian based on their design characteristics and to establish emotional consequences as an important link between gamification and user behaviors.

There is a growing trend in online shopping in developing and underdeveloped economies. Measuring web retail service quality is vital to enhance and retain online customers for higher profits. As a result, it is essential to understand e-service quality and its relationship with other e-commerce-related variables identified as customer satisfaction, word-of-mouth (WOM), loyalty and repurchase intention. The main objective of this research is to validate the psychometric properties of E-TailQ and ES-Qual scales to measure e-service quality in the context of an emerging economy.

The study was administered by surveying online customers through a convenience sampling approach. The sample data consisted of 329 valid responses. The data were analyzed using confirmatory factor analysis (CFA) and structural equation modeling (SEM).

The results suggest that both the scales are valid, reliable and adequate and confirm the psychometric properties of E-TailQ and ES-Qual scales in an emerging economy context. There is a positive and significant relationship between latent variables (E-TailQ and ES-Qual) and customer outcome variables like satisfaction, loyalty, WOM and repurchase intention. Additionally, the coefficients of the E-TailQ scale have higher values than ES-Qual scales in all dimensions. The perceived quality proved to be a precedent of satisfaction to a lesser extent than other scales' constructs, and it proved to be a superior predictor of WOM for the E-TailQ scale and loyalty for the ES-Qual scale. Overall, when measured by the ES-Qual scale, perceived quality could explain much of the sample's satisfaction, loyalty and repurchase intention compared to E-TailQ.

One of the significant limitations of this study is related to the data collection, as individual responses were collected at one particular point in time. Thus, it is impossible to verify the development of perceived service quality outcomes over a specific time. Another possible limitation is the selection of only two widely used scales, although other options are available in the literature. Finally, developing a new scale to address future challenges might be another alternative.

The results obtained in the study will help managers assess customer satisfaction, the reputation of the business through WOM, and customer intentions for the repurchase that will lead to loyalty by emphasizing e-service quality. It will enable them to design strategies for improving business performance. The developed instrument will assist in identifying the gaps and describing how service quality can achieve higher levels of customer satisfaction.

Several studies in the literature have used E-TailQ and ES-Qual scales to measure e-service quality in developed countries. Only a few studies addressed the validity of these widely used competing scales in an emerging economy like Pakistan. This study addresses the literature gap by addressing the reliability and validity of these scales and assesses the impact of e-commerce-related variables. Besides, the study reveals insights into the literature by addressing multiple dimensions of e-service quality and summarizes a deep understanding of each scale item that affects the perceived quality in a developing economy like Pakistan.