Search results

This paper aims at understanding how automotive firms integrate customer relationship management (CRM) tools and big data analytics (BDA) into their marketing strategies to enhance total quality management (TQM) after the coronavirus disease (COVID-19).

A qualitative methodology based on a multiple-case study was adopted, involving the collection of 18 interviews with eight leading automotive firms and other companies responsible for their marketing and CRM activities.

Results highlight that, through the adoption of CRM technology, automotive firms have developed best practices that positively impact business performance and TQM, thereby strengthening their digital culture. The challenges in the implementation of CRM and BDA are also discussed.

The study suffers from limitations related to the findings' generalizability due to the restricted number of firms operating in a single industry involved in the sample.

Findings suggest new relational approaches and opportunities for automotive companies deriving from the use of CRM and BDA under an overall customer-oriented approach.

This research analyzes how CRM and BDA improve the marketing and TQM processes in the automotive industry, which is undergoing deep transformation in the current context of digital transformation.

Through the theoretical lens of social practice theory, the aim of this research is to investigate how business-to-business (B2B) high-tech startups build their brands in an omni-digital environment, particularly by focusing on the most important digital touchpoints implemented to interact with stakeholders.

A qualitative analysis was performed by conducting 36 semi-structured interviews with key informants operating in B2B high-tech startups, including founders, CEOs, managing directors, marketing managers and other actors from this sector.

The results reveal the enablers, inhibitors and specific objectives of startups in their brand-building processes across digital touchpoints in an omni-digital environment.

This study offers new theoretical insights into new ventures’ brand management strategies through the development of a theoretical framework in which the enablers, inhibitors and specific objectives of the brand-building process of startups are identified. Although the recent literature has addressed the topic of startup brand building, this is the first study, to the authors’ knowledge, focused on the brand-building process of B2B high-tech startups in an omni-digital environment.

The aging and deterioration of engineering building structures present significant risks to both life and property. Fiber Bragg grating (FBG) sensors, acclaimed for their outstanding reusability, compact form factor, lightweight construction, heightened sensitivity, immunity to electromagnetic interference and exceptional precision, are increasingly being adopted for structural health monitoring in engineering buildings. This research paper aims to evaluate the current challenges faced by FBG sensors in the engineering building industry. It also anticipates future advancements and trends in their development within this field.

This study centers on five pivotal sectors within the field of structural engineering: bridges, tunnels, pipelines, highways and housing construction. The research delves into the challenges encountered and synthesizes the prospective advancements in each of these areas.

The exceptional performance of FBG sensors provides an ideal solution for comprehensive monitoring of potential structural damages, deformations and settlements in engineering buildings. However, FBG sensors are challenged by issues such as limited monitoring accuracy, underdeveloped packaging techniques, intricate and time-intensive embedding processes, low survival rates and an indeterminate lifespan.

This introduces an entirely novel perspective. Addressing the current limitations of FBG sensors, this paper envisions their future evolution. FBG sensors are anticipated to advance into sophisticated multi-layer fiber optic sensing networks, each layer encompassing numerous channels. Data integration technologies will consolidate the acquired information, while big data analytics will identify intricate correlations within the datasets. Concurrently, the combination of finite element modeling and neural networks will enable a comprehensive simulation of the adaptability and longevity of FBG sensors in their operational environments.

The aim of this study is to understand how the dimensions of esports streaming viewers’ customer experience influence their intentions to buy brands produced by sponsors, both directly and through the mediating effect of their identification with players and teams.

Data were collected through an online survey of 396 regular esports viewers in Spain, using convenience sampling. The proposed conceptual model was evaluated using partial least squares structural equation modeling (PLS-SEM).

The results showed that the four dimensions of the viewer's customer experience (cognitive, affective, sensory and social) predicted his/her social identification with players/teams. In turn, social identification positively influenced purchase intentions for the sponsoring brand. The cognitive, affective and social dimensions of the experience indirectly influenced purchase intentions for the sponsoring brand, through social identification.

This study improves the understanding of esports viewers’ experiences and their impact on purchase intentions toward the sponsoring brand, and the key role of the viewer’s social identification with players/teams.

This paper proposes a structural model that explores the relationship between game/esports streamers’ credibility dimensions and viewers’ willingness to spend money (WTP) on online games. The study seeks to uncover the underlying mechanisms in this relationship by drawing on the source credibility model, social identity theory and S-O-R framework.

The study utilized an online survey conducted through Qualtrics survey software to validate the proposed framework. The sample (N = 612) consisted of viewers of a Turkish esports live streamer with a substantial following on both Twitch and YouTube. The main research framework was tested using AMOS 22, and the serial mediation analyses were done using Process v3.0 on SPSS.

The findings of this study are significant, revealing that streamer credibility (SC) factors – trustworthiness, attractiveness and expertise – have a profound impact on the response variables purchase intention (PI) and WTP through streamer identification (STI). Moreover, the study uncovers that the time spent watching the streamer significantly influences WTP for games, a crucial insight for the gaming industry.

By bridging the realms of social identity theory and the source credibility model within the context of game streaming, this study charts new territory in understanding the intricate web of factors shaping consumer behaviour in live-stream gaming environments. It highlights the multifaceted nature of viewer-streamer interactions and their implications for marketers and industry stakeholders seeking to navigate the expanding landscape of live stream commerce.

This paper offers a novel structural framework that synthesizes multiple perspectives to investigate the relationship between esports streamers’ credibility and viewers’ spending behaviour. By incorporating concepts from the source credibility model, social identity theory and S-O-R framework, the study not only expands upon existing theories of identity in the streaming domain but also provides a comprehensive understanding of the factors influencing consumer behaviour in online gaming environments.

This paper aims to examine how the number of short videos posted and the number of influencers employed, two important strategies in short video marketing, affect consumer behavior and how price discounts moderate the effects of influencer endorsement on consumer browsing and purchasing behavior.

Drawing on the literature on influencer endorsement, this study used an ordinary least square model to empirically examine the two effects of endorsement strategies in increasing product traffic and sales for consumers at a short video app, Douyin (TikTok).

The results show that the number of short video ads produces the classic inverted U-shape for traffic and sales, and both effects were strengthened under a high discount condition. Whereas the number of influencers has a positive effect on traffic but produces an inverted U-shape for sales, both effects were undermined under a high discount condition.

This study is the first to explore the two distinct effects (repetition effect and diffusion effect) of influencer endorsement on browsing and purchasing behavior and theorize about the moderate effects of discounts on these effects.

The purpose of this study is to explore the moderating role of chief executive officer (CEO) duality in the relationship between board subcommittees and audit committees with financial expertise on firm performance in European countries. To extend this research, the sample is divided into two subsamples based on common and civil law, with the latter being divided into the three subgroups of civil French law, civil German law and civil Scandinavian law.

Panel data for 3,448 observations from nine European countries are analyzed for the period 2016–2019. The model is estimated and contrasted with the generalized method of moments.

The main findings of this study show that CEO duality moderates positively the relationship between corporate governance committees and firm performance in Europe. Furthermore, the results indicate that CEO duality moderates positively on the association between corporate governance committees and firm performance in countries located by civil law. The findings also evidence that CEO duality moderates positively on the association between corporate governance and compensation committees and firm performance in countries located by Civil-French. Finally, the findings reveal that CEO duality moderates positively the relationship between audit committees with financial experts and firm performance performance in countries located by Civil-German.

This study has some limitations. First, this study may not have considered some characteristics that could influence firm performance from other empirical and theoretical approaches. Second, this study divided the sample according to La Porta et al. (1997) and Graff’s (2008) approaches, but other classifications from different studies may have led to different outcomes. Finally, this study did not examine the country-level aspects that influenced firm performance, such as culture and institutional characteristics beyond corporate governance, economic and political factors. This is a potential avenue for future research.

Managers can use the findings to make strategic company decisions, and they can help other directors understand the important effects CEO duality has on corporate boards because board subcommittees mitigate the negative effect of CEO duality on firm performance.

This study expands upon the research about the moderating role of CEO duality through the different board subcommittees, thereby presenting it as an instrument that greatly enhances firm performance. In this sense, this moderating role preserved firm performance when the agency theory was previously corroborated, and the independent management of CEO duality was found to negatively impact.