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The purpose of this research is to develop a comprehensive model to better understand competitive dynamics between mobile payment providers in a multi-sided market featuring customers and merchants. This is undertaken by modeling customers performing financial transactions with merchants while two mobile payment systems (MPS) providers deploy different strategies to compete for market share.

The authors developed an agent-based simulation model using the NetLogo environment. The simulation featured two competing platform providers, 1,000 customer agents and 50 merchant agents. Past research, interviews and surveys were conducted to accurately model the behavior of the agents. Each simulation run lasted for 50 time periods. A total of 1,024 experimental conditions were designed to model different competitive environments, and 50 replications were conducted for a total of 51,200 experiments.

The simulation model provides insight into MPS platform providers’ competitive strategies by simultaneously modelling socioeconomic interactions between customers, merchants and MPS.

From a methodological perspective, the paper contributes a comprehensive model that can be used to study competitive dynamics between competing platforms in a multi-sided market. From the perspective of competitive strategies, the results show that pricing alone is not sufficient to influence MPS diffusion. Interactions between pricing, customers’ risk perception, perceived security and ease of use of the platform create unexpected same-side and cross-side network effects, which affect MPS diffusion.

While pricing remains a crucial lever for MPS to compete for market share, they should focus on enhancing customers’ and merchants’ trust and reduce their risk perception. This can be done through the improvement of the user experience of their platform, development of educational materials and marketing campaigns that address concerns around security, data breaches and perceived risk.

The paper is a direct response to a recent call for action on studying competition between MPS platforms by simultaneously modelling the socio-economic behavior of heterogeneous consumers and merchants. The proposed agent-based simulation model can be used to provide insights into competitive strategies and as a building block for subsequent research in this area.

This article aims to (1) increase the knowledge of how coworkers experience voicing the organization on external social media and (2) deepen and nuance the knowledge of the sources of voice control involved in such communication processes. The study helps understand coworker voicing on social media as situated identity expressions through which coworkers negotiate and contest the organizational identity, thereby co-constituting a polyphonic organization.

The study draws upon a constitutive perspective on communication and a communication-centered perspective on identity and organizational identification to investigate the voicing of organizational members of the Swedish Police Force on social media. The article is based on a qualitative study where interviews with police officers and communication professionals at the Swedish Police Authority constitute the main empirical material. A content analysis of selected social media accounts provided important background information to the interviews and enriched the understanding of coworker voice.

This analysis shows that coworkers voice the organization differently. Furthermore, the study of how coworkers experience this voicing indicates that these variations in how coworkers voice the organization depend on how strongly they identify or disidentify with organizational identity and image expressions voiced by significant others. Based on the analysis, this study presents four voice positions highlighting coworkers' varying degrees of identification/disidentification when voicing their organization on social media and reflecting upon their experiences of voicing. Furthermore, the analysis also demonstrates four sources of voice control: (1) management, (2) colleagues, (3) significant non-members and (4) the status and position of the coworker's voice. These four sources of voice control influence coworkers' voices on social media.

This study also contributes with practical implications, for example that the traditional idea of monophonic organizations must be revised and also embrace a polyphonic, bottom-up approach to strengthening internal trust and organizational identity. This comes naturally with the price of less control and predictability by management but with the benefits of increased coworker engagement and pride.

This study contributes new knowledge and a nuanced understanding of coworker voice on social media and the sources of control that influence coworkers' voices.

The proposed model aims to consider the flying hours as a criterion to initiate maintenance operation. Based on this condition, aircraft must be checked before flying hours threshold is met. After receiving maintenance service, the model ignores previous flying hours and the aircraft can keep on flying until the threshold value is reached again. Moreover, the model considers aircraft age and efficiency to assign them to flights.

The aircraft maintenance routing problem (AMRP), as one of the most important problems in the aviation industry, determines the optimal route for each aircraft along with meeting maintenance requirements. This paper presents a bi-objective mixed-integer programming model for AMRP in which several criteria such as aircraft efficiency and ferrying flights are considered.

As the solution approaches, epsilon-constraint method and a non-dominated sorting genetic algorithm (NSGA-II), including a new initializing algorithm, are used. To verify the efficiency of NSGA-II, 31 test problems in different scales are solved using NSGA-II and GAMS. The results show that the optimality gap in NSGA-II is less than 0.06%. Finally, the model was solved based on real data of American Eagle Airlines extracted from Kaggle datasets.

The authors confirm that it is an original paper, has not been published elsewhere and is not currently under consideration of any other journal.

Current evidence indicates that humans and animals are at increased risk of multiple health challenges due to microplastic (MP) profusion. However, mitigation is constrained by inadequate scientific data, further aggravated by the lack of evidence in many African countries. This review therefore synthesized evidence on the current extent of MP pollution in Africa and the analytical techniques for reporting.

A literature search was undertaken in research databases. Medical subject headings (MeSH) terms and keywords were used in the literature search. The authors found 38 studies from 10 countries that met the inclusion criteria.

Marine organisms had MPs prevalence ranging from 19% to 100%, whereas sediments and water samples had between 77 and 100%. The most common and dominant polymers included polypropylene and polyethylene.

This review shows that most studies still use methods that are prone to human errors. Therefore, the concentration of MPs is likely underestimated, even though the authors’ prevalence evaluations show MPs are still largely pervasive across multiple environmental matrices. Also, the study reveals significant spatial disparity in MP research across the African continent, showing the need for further research in other African countries.

Even though some reviews have assessed MPs pollution in Africa, they have not evaluated sample prevalence, which is necessary to understand not only concentration but pervasiveness across the continent. Secondly, this study delves deeper into various methods of sampling, extraction and analysis of MPs, as well as limitations and relevant recommendations.

The purpose of this study was to gather insights from sport marketing professionals and identify key opportunities, challenges and knowledge that sport marketing educators and researchers could utilize in developing curriculum and research agendas.

A qualitative approach was used, and data were collected through in-depth interviews with 15 sport marketing professionals. Participants were asked questions related to the knowledge, skills and experiences that they believe are important for students to have to be successful in the industry, as well as the types of research that would be most useful in their day-to-day work.

Industry professionals noted collaboration, transformation in digital marketing, data and analytics and experiential marketing as key trends facing the industry today. The findings suggest that sport marketing curriculum should focus on soft skill development such as communication, relationship building and empathy alongside hard skill development such as data analysis and storytelling. As well, findings show research areas where scholars can aid practitioners with a focus on consumer insights, technology, measuring ROI and experiential marketing.

With these findings, educators and scholars can better prepare students for successful careers in industry and contribute to the ongoing advancement of the scholarly field. This study serves as a starting point for further research in this area, and it is hoped that it will spark continued collaboration between academia and industry.

This scoping review aims to explore how “food media”, “food messages” and “food content” are referred to in scholarly writing to enhance a shared understanding and comparability.

Following the PRISMA, ScR-guidelines, four scientific databases were screened on published manuscripts in academic journals, books and doctoral theses mentioning food media, content and messages within the prevalent meaning as in human communication.

Of the 376 included manuscripts, only a small minority (n = 7) provided a conclusive definition of at least one of the three earlier-mentioned concepts; 40 others elucidated some aspects of food media, messages or content; however, they emphasized different and, sometimes even, contrasting aspects. In addition, the review explores in which disciplines the manuscripts mentioning food media, messages or content occur, which methodologies are used and what target groups and media are most common.

Based on this aggregated information, a definition of food media, messages and content is proposed, aiming to enhance the comparability of diverse academic sources. This contribution invites scholars to critically reflect on the included media and content types when comparing studies on food media, messages or content.

Drawing on the personalization–privacy paradox and guided by means–end analysis, this study explores how consumers balance their concerns for privacy and the benefits of smart home device personalization and the role that trust plays in the process. More specifically, this study aims to investigate how perceptions of smart device personalization and privacy concerns are shaped by consumers’ experiences and the role of trust in the deliberation process.

In-depth interviews were conducted across diverse demographic groups of smart device users to shed light on the balancing act between personalization and privacy.

The study found that product experience, ownership type, perceived value of convenience and control and quality of life via “smart things” are key motivators for product usage. The benefits of tailored recommendations and high relevance are balanced against the risks of echo chamber effects and loss of control. The results also show the role of active involvement in the privacy calculus and trust level. The study points to the significance of an ecosystem-based service/business model in gaining consumer confidence when they balance between personalization and privacy.

Although many studies have explored trust, privacy concerns and personalization in an artificial intelligence (AI)-related context, few have addressed trust in the context of both smart devices and the personalization–privacy paradox. As such, this study adds to the existing literature by incorporating the concept of trust and addressing both privacy concerns and personalization in the AI context.

We examined the internationalization process of business promotion organizations. We focused on the key stages and strategies and how the networks formed during this process can support their partners, particularly SMEs, in facilitating international expansion.

The theoretical lens: We combined the experiential learning-commitment interplay of the Uppsala model with a similar mechanism focused on business network relationships. A qualitative methodology: We used it to explore the question and the various forms of embeddedness within networks, offering an in-depth examination, particularly in the challenging natural settings of a cluster organization in geographic information systems (GIS).

We found that the cluster organization’s internationalization began regionally, forging connections with clusters in the Nordic and Baltic countries and Europe. Over time, the cluster recognized the importance of innovation leadership, leading to the integration of its core competencies with complementary technologies from other global geospatial technology hubs.

The study fills research gaps by examining global linkages between regional clusters and international partners, focusing on external gaps. We explored how clusters can leverage global innovation systems and networks for matchmaking, capitalization and investment. Moreover, we addressed the need for more research on cross-cluster gaps and barriers to global market interaction. By providing insights into expanding beyond local interactions, the study enhances understanding of how clusters can increase the global reach and competitiveness of firms within them.

The platform established during the internationalization process was crucial, as SMEs within clusters often lack the resources, time and expertise to enter international markets alone. This platform helps SMEs overcome barriers such as size, resources and unfamiliarity with foreign markets.