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This paper aims to present the mathematical foundation of so-called advance algorithms, developed to compensate for defects during acceleration and deacceleration of the print head in filament-based melt extrusion additive processes. It then investigates the validity of the mathematical foundation, its performance on a low-cost system and the effect of changing layer height on the algorithm’s associated process parameter.

This study starts with a compilation and review of literature associated with advance algorithms, then elaborates on its mathematical foundation and methods of implementation. Then an experiment displaying the performance of the algorithm implemented in Marlin machine firmware, Linear Advance 1.0, is performed using three different layer heights. The results are then compared with simulations of the system using Simulink.

Findings suggests that advance algorithms following the presented approach is capable of eliminating defects because of acceleration and deacceleration of the print head. The results indicate a layer height dependency on the associated process parameter, requiring higher compensation values for lower layer heights. It also shows higher compensation values for acceleration than deacceleration. Results from the simulated mathematical model correspond well with the experimental results but predict some rapid variations in flow rate that is not reflected in the experimental results.

As there are large variations in printer design and materials, deviation between different setups must be expected.

To the best of authors’ knowledge, this study is the first to describe and investigate advance algorithms in academic literature.

The purpose of this paper is to analyse the effects of brand trust and online brand community (OBC) trust on consumer repurchase intention and the positive electronic word-of-mouth (eWOM) intention of OBC members.

The research model was assessed using data from a sample of 628 OBC users using partial least squares structural equation modelling (PLS-SEM).

The results show that brand trust positively affects repurchase intention and positive eWOM intention, both directly and indirectly through OBC trust. The total effect of brand trust on the results is greater than that of OBC trust.

This research contributes to marketing theory and practice by analysing the combined effect of OBC trust and brand trust on the consumer–brand relationship in the context of OBCs.

El objetivo de esta investigación es analizar los efectos de la confianza en la marca y la confianza en la comunidad online de marca en la intención de los miembros de la comunidad de recomprar dicha marca y de hablar bien electrónicamente (eWOM) sobre la misma.

El modelo de investigación fue evaluado usando datos de una muestra de 628 usuarios de comunidades online de marca, mediante un modelo de ecuaciones estructurales por el método de mínimos cuadrados parciales (PLS-SEM).

Los resultados muestran que la confianza en la marca afecta positivamente a la intención de recompra y al eWOM positivo, directa e indirectamente a través de la confianza en la comunidad. El efecto total de la confianza en la marca es mayor que el de la confianza en la comunidad.

Esta investigación contribuye a la teoría y práctica del marketing al analizar el efecto combinado de la confianza en la marca y en la comunidad online de marca, en las relaciones consumidor-marca.

This conceptual article presents a theoretical approach to understanding the atmosphere at sports stadiums. Using the environmental psychology behavioural model proposed by Mehrabian & Russell (1974), and taking into account recent findings in consumer research, we develop a comprehensive framework for investigating this atmosphere. The framework highlights the role of emotions elicited by different stimuli in sports stadiums. We also suggest a number of direct and indirect influences on behavioural outcomes, caused by the emotional reactions and personal predispositions of spectators - influences that are of economic relevance. The proposed framework also forms a starting point for future empirical studies.

Manchester's older residents together with statutory, voluntary and independent agencies are leading the development of partnership work and supporting varied initiatives to improve elders' quality of life in Manchester. They aim to tackle the city's health and other inequalities and address specific challenges of growing older in deprived urban areas. Manchester Valuing Older People last year published its ageing strategy and the city has now joined the global network of age‐friendly cities. This paper describes progress and some of the current issues and opportunities.

Disruptive technologies in the global logistics industry are often regarded as a threat to the existing business models of incumbents’ companies. Existing research, however, focuses mainly on whether technologies have disruptive potential, thereby neglecting when such disruptive transitions occur. To understand the timing of potential disruptive technological change, this paper aims to investigate the elements of the underlying ecosystem shaping these transitions.

Building on the established ecosystem framework from Adner and Kapoor (2016a), this paper constructs four categories of technology substitution to assess how quickly disruptive change may occur in the global logistics industry and defines key technology substitution determinants in logistics to emphasize the role of ecosystems for further consideration into disruptive innovation theory.

Based on the key determinants, this paper proposes first definitions of distinctive ecosystems elements linked to the three types of innovations, namely, sustaining innovations, low-end disruptions and new-market disruptions, thereby integrating ecosystems into Christensen’s (1997) disruptive innovation theory.

By developing a framework that conceptualizes the pace of technology substitution, this paper contributes to a more nuanced understanding of how logistics managers and academics can better predict disruptive transitions and develop strategies to allocate resources.

Digital freight forwarder (DFF) start-ups and their associated business models have gained increasing attention within both academia and industry. However, there is a lack of empirical research investigating the differences between DFFs and traditional freight forwarders (TFF) and the impact of digital start-ups on incumbents' companies. In response, this study aims to examine the key business model characteristics that determine DFFs and TFFs and propose a framework illustrating the extent to which digital logistics start-ups influence incumbent logistics companies.

Based on the primary data gathered from eight interviews with experts from start-ups' and incumbents' logistics companies, as well as secondary data, the authors identify the main factors of DFFs start-ups that have an impact on TFFs and analyze the similarities and differences in regard to the business model components' value proposition, value creation, value delivery and value capture.

The results show that differences between DFFs and TFFs appear in all four business models' components: value proposition, value creation, value delivery and value capture. In particular, the authors identify three main factors that need to be considered when assessing the impact of DFFs on TFFs: (1) the company size, (2) the market cultivation strategy and (3) the transport mode.

This is one of the first studies to specifically examine the key business model differences between DFFs and TFFs and to propose a conceptual framework for understanding the impact of digital logistics start-ups on incumbent companies.

The purpose of this paper is to explore the viability of shifting foreign direct investment (FDI) from China to Central and Eastern European (CEE) countries in light of recent geopolitical and economic challenges. By analyzing case studies, it argues that CEE nations offer a compelling alternative for Western European businesses, with stronger intellectual property protection, political stability and alignment with European Union (EU) sustainability goals. The paper provides insights for firms and policymakers on mitigating risks and enhancing business operations by pivoting toward the CEE region, offering practical recommendations for adapting to shifting global trade dynamics.

The design methodology uses the case study approach to analyze the shift of FDI from China to CEE. This method examines the geopolitical, economic and legal contexts influencing business decisions, using real-world examples of Western European companies that have made this transition. The case studies highlight key factors in decision-making and the benefits of relocating investments to the CEE region.

The study identifies several advantages of the CEE region over China for Western European firms. These include geographic proximity, similarities in business values and purposes, environmental accountability, trustworthiness in business, enforceable noncompetition rules, lower risks of counterfeiting, reduced political and administrative risks, lower risks of intellectual property theft and reduced risks of negative publicity.

The findings suggest that Western European firms should consider redirecting their FDI to the CEE region to mitigate risks associated with investing in China. This move could offer long-term benefits despite short-term complications.

This paper contributes to the FDI theoretical framework by enhancing the cultural, administrative, geographic and economic (CAGE) distance framework. It provides a unique perspective on the shifting dynamics between Europe and China and highlights the potential of the CEE region as a viable alternative for FDI.

Social factors, such as fellow spectators in a stadium or other fans sharing their experiences on online platforms, play a dominant role in spectator sport consumption. This conceptual article sets out to achieve three objectives: classify customer-to-customer (C2C) interactions in the sport fan context, develop a framework that links the classification of interactions to relevant outcomes and identify areas for related future research.

The authors integrate conceptual and empirical contributions on C2C interactions in the service, marketing and sport management literature.

The article proposes classifying C2C interactions into synchronous multi- and uni-directional interactions as well as asynchronous multi- and uni-directional interactions. The C2C interaction framework (C2CIF) proposes that such C2C interactions have hedonic, social, symbolic and utilitarian value outcomes. It further suggests that physiological, psychological and social processes underlie the co-creation or co-destruction of value and identifies contingencies at both the fan and the brand level.

Based on the C2CIF, we identify relevant topics for future research, in particular relating to technology-supported and virtual interactions among fans, fan-to-fan interactions across different countries and cultural backgrounds and fan-to-fan interactions as a way to reduce societal concerns.

Electronic Sports (eSports) is an emerging sector of the sports and entertainment industry experiencing an accelerated increase in consumer and sponsor demand. This paper aims to study selected cases of eSports service ecosystems, to identify similarities and differences and to understand the different roles, relationships and multiple interactions of actors involved in value co-creation processes.

This empirical paper follows the service-dominant logic to highlight value creation. Based on the sport value framework, an organizing logic for the actors in sports-related ecosystems to exchange service and co-create value, the authors apply the conceptualization of an eSports service ecosystem framework in which actors create value through their interactions. A case study approach was applied to qualitatively describe two cases of value co-creation by multiple actors during three eSports events. Case study 1a is the 2019 League of Legends World Championship Finals in Paris. Case study 1b is the 2020 League of Legends World Championship Finals in Shanghai. Case study 2 is the BLAST Premier Counter-Strike: Global Offensive Global Final 2020, which was entirely virtual.

The outcome is an empirically investigated conceptual framework of multiple actors co-creating value within a service ecosystem in eSports. The insights of the cases explain how actors interact with each other and co-create value during events in eSports ecosystems. The cases illustrate interactions in the context of eSports where the actors are connected within ecosystems. This enables further development of a value co-creation concept and a better understanding of value co-creation in eSports.

This study contributes to research by explicating a theoretically grounded framework for eSports service ecosystems based on empirical evidence. This research extends the scope of value co-creation beyond the firm–customer dyad to a service ecosystem in eSports, demonstrating the dynamic interactions of multiple actors.

The purpose of this study is to explore the exogenous and endogenous drivers of the high-growth of Unicorn start-ups along their life cycle, with a particular focus on Unicorns in the fintech industry.

The study employs an explorative longitudinal analysis with a matched-pair of two cases of Unicorns start-ups with similar antecedent features to understand holistically drivers over the longer term.

High-growth patterns over the longer term are the result of a combined industry- and company-life cycle perspective. Drivers and growth patterns vary significantly according to the time of entry in the industry and its development status. The findings are systematised within a set of propositions to be tested in future research.

The limitations lie in empirical evidence, as the analysis is limited to one-matched-pair. The revealed Unicorns' drivers for long-term growth might encourage future research to further investigate these drivers on a larger scale.

The study offers practical recommendations for start-ups with high-growth ambitions and advice to policy makers regarding the development of tailor-made support programs.

The study significantly extends extant work on growth and high-growth by examining endogenous and exogenous triggers over time and by linking the Unicorn-life cycle to the industry life cycle, an approach which has, to the best of the authors’ knowledge, not yet been applied.