Innovation and imitation effects in the mobile telecommunication service market

This study investigates adoption patterns of the first mover and the followers in the Information and Communication Technology industry. The continuous behavior of adopters over time is difficult to analyze and most previous studies were cross-sectional rather than longitudinal. In order to overcome these limitations, a mathematical diffusion model with verified official time-series data is used to analytically investigate the impact of both innovation and imitation effects on the mobile phone adoption in South Korea. The results showed that the imitation effect of the first mover was larger than those of the followers in the mature mobile telecommunication services market in South Korea. The innovation effect of the follower was larger than that of the first mover, and the innovation effect was larger than the imitation effect in the market.     

Web 2.0 service adoption and entrepreneurial orientation

The purpose of this study is to investigate the relationship between Web 2.0 service adoption and entrepreneurial orientation (EO). For this purpose, this article conducted multivariate analysis of variance (MANOVA) using Web 2.0 service adoption groups (high and low adopters) as an independent variable and EO as dependent variable, measured with four variables: innovativeness, risk taking, autonomy, and competitive aggressiveness. The results show that there are significant differences in EO, overall and for each dimension, between the two groups (high adopters/low adopters of Web 2.0). High adopters of Web 2.0 have a stronger EO in terms of all the four of the individual EO dimensions.     

Inter-firm relational resources in cloud service adoption and their effect on service innovation

This study examines (1) inter-firm relational resources for cloud service adoption and (2) their effects on service innovation. A research model and the related hypotheses are developed based on resource-advantage (R-A) theory that combines inter-firm relational resources identified in theoretical and empirical research as important antecedents of cloud service adoption and its effect on service innovation. This study collects data from 165 managers from service firms in Taiwan. The results show that resources, including reliability, cost, and compatibility significantly affect a firm’s cloud service adoption. Furthermore, the adoption of cloud service significantly contributes to service innovation. The findings add to the current understanding of service innovation in two important ways. First, drawing on R-A theory, this study is among the first attempts to identify inter-firm relational resources (reliability, cost, compatibility, and customer orientation) for cloud service adoption and their effect on innovation performance. Second, this study introduces cloud services as effective technological platforms for a firm and its business partners to share, integrate, and reciprocate information, knowledge, and experience for service innovation.     

Workforce age and technology adoption in small and medium-sized service firms

This paper provides empirical evidence on the relationship between the age structure of the workforce and the adoption of new or significantly improved technologies. Moreover, it attempts to identify the role of teamwork in this relationship. The econometric analysis is based on data of 356 small and medium-sized German firms from the knowledge-intensive services and ICT services sectors. The results show that, compared to employees younger than 30 years, an older workforce is negatively related to the probability of technology adoption. On the contrary, the dispersion of the employees’ age within the workforce seems not to be connected with the probability of technology adoption. However, in firms with intensive use of teamwork a homogenous workforce in terms of age is positively related to the probability of technology adoption.     

Inter-organizational information systems adoption for service innovation in building sector

The building sector has experienced a significant decline in recent years in Spain and Europe as a result of the financial crisis that began in 2007. This drop accompanies a low penetration of information and communication technologies in inter-organizational oriented business processes. The market decrease is causing a slowdown in the building sector, where only flexible small and medium enterprises (SMEs) survive thanks to specialization and innovation in services, which allow them to face new market demands. Inter-organizational information systems (IOISs) support innovation in services, and are thus a strategic tool for SMEs to obtain competitive advantage. Because of the inherent complexity of IOIS adoption, this research extends Kurnia and Johnston's (2000) theoretical model of IOIS adoption with an empirical model of IOIS characterization. The resultant model identifies the factors influencing IOIS adoption in SMEs in the building sector, to promote further service innovation for competitive and collaborative advantages. An empirical longitudinal study over six consecutive years using data from Spanish SMEs in the building sector validates the model, using the partial least squares technique and analyzing temporal stability. The main findings of this research are the four ways an IOIS might contribute to service innovation in the building sector. Namely: a) improving client interfaces and the link between service providers and end users; b) defining a specific market where SMEs can develop new service concepts; c) enhancing the service delivery system in traditional customer–supplier relationships; and d) introducing information and communication technologies and tools to improve information management.     

The effects of consumer perceived value and subjective norm on mobile data service adoption between American and Korean consumers

The effects of consumer perceived value and subjective norm on using mobile data services between American and Korean consumers were examined to explain the differences and similarities in consumer mobile data service adoption behavior in this study. The antecedent effects of four dimensions of consumer perceived value showed different behavioral intention to use mobile data services between the two countries. Emotional value was found to be the most significant effect on using mobile data services for consumers in the two countries. Subjective norm was a significant antecedent of attitude and behavioral intention to use mobile data services for American consumers, but it was not evident for Korean consumers.     

Innovation and corporate entrepreneurship in service businesses

The strategic entrepreneurship field has established the importance of a generalized entrepreneurial behaviour across the organization. However, extant research has failed to establish how the association with innovation is different in service businesses. This is a relevant gap in the literature addressed by the paper, given the role of services in the world economy and the importance of employee–client interactions for the competitiveness of most service businesses. An empirical analysis from 127 service and non-service firms, using hierarchical multiple regression, confirms there are relevant differences, with important theoretical and managerial takeaways.     

Cross-decision social effects in product adoption and defection decisions

Researchers and practitioners have long been aware of the capacity to use information on consumers' product adoptions and defections to forecast the adoption and defection behavior of others in their social networks. Yet, herein, we suggest that such information still holds substantial untapped predictive potential. Specifically, this paper is the first to define and investigate cross-decision social effects, i.e., the effects of customer defections on network neighbors' adoption decisions, and the effects of customer adoptions on network neighbors' defection decisions. We incorporate these effects into a conceptual framework that enables us to explore them concurrently with same-decision social effects (the effects of adoptions on adoptions and of defections on defections), which have been researched extensively. We develop a multi-event hazard model to describe this framework, and estimate it using two unique data sets on a communication network and on adoption and defection dates for a mobile add-on. We obtain strong empirical evidence for negative cross-decision social effects that are larger for strong ties than for weak ties.     

The impact of adoption timing on new service usage and early disadoption

Post-adoption usage can be a crucial element in obtaining substantial revenues from new service introduction, especially when adopters display low usage levels or decide to disadopt the service altogether. Here, the authors specifically examine the effects of adoption timing on post-adoption usage and disadoption. Using a longitudinal, individual-level usage data set of 6296 adopters of a new telecom service, they show that the earliest adopters have lower initial usage levels than do later adopters. However, early adopters show increasing usage after adoption, whereas late adopters tend to decrease their usage over time. Also, disadoption rates are higher among later adopters.     

Transformative service research and service design: synergistic effects in healthcare

ABSTRACT

This conceptual paper answers the question: How do we design service experiences in whole to increase the well-being of all participants in the healthcare system – patients, families, and caregivers? In order to do so, we position service design as an essential tool and even a mindset needed for transformative service research success. We discuss the transformative role service design plays in improving service and consumer entities’ well-being with a focus on how this approach can lead to improved healthcare service outcomes. We also add to the conversation surrounding service and consumer entities’ well-being by broadening the concept and application of service design to consider social, existential, psychological, and physical well-being. We particularly explore how healthcare services can benefit from further consumer engagement and collaborative patient–provider relationships, two key factors essential for redesigning the industry.     

Metaverse mingle: Discovering dating intentions in metaverse

The present work represents a mixed-method investigation to redefine Elaboration Likelihood Model (ELM) using some innovative variables to investigate dating-partner behaviour in the metaverse. In addition, it seeks proof that realistic threat and perceived trust have a moderating role in this proposed model. The research is split into two parts: in the first stage, dating app users' responses have been collected from online reviews posted on social media sites. Python have been used to find out the constructs from the content analysis. Then using the constructs second phase have been started where the model has been validated by confirmatory analysis. Perceived trust moderates the association between perceived attitude and dating intention in Metaverse whereas realistic threat don't have. Our research showed that apart from perceived accuracy of information all the other factors are having significant association towards perceived attitude. Our findings highlight the importance of both channels in persuading consumers to try out metaverse dating. In order to earn the users' trust, they must resolve their concerns over privacy and security in the online world. To achieve this, strict user verification and security procedures should be implemented.     

Heterogeneous effects of different factors on global ICT adoption

Numerous studies focus on the analysis of the effects of different factors on global information and communication technology (ICT) adoption. Due to the limitations of the least squares method in showing the impact of the estimated coefficients on the mean, this study applies quantile regression to examine the heterogeneous effects of various factors on global ICT adoption. This study finds that the impacts on the tail quantiles can be very different from the impacts on the conditional means. The empirical results show that the effects at different quantile levels are very different from those at their counterpart conditional means. We also provide relevant explanations for the effects.     

Innovation management in service firms: a research agenda

This article suggests an agenda for further research on innovation management in service firms. It investigates differences and similarities between issues identified by previous academic research and issues brought up by practitioners within the area of innovation management in service firms. The results show that there are some major differences; for instance, researchers stress a need for formalized processes for development work, while practitioners focus on facilitating innovation in everyday operations. The main conclusion is that in order to bridge the gap between research and practice we would encourage further research on innovation in service firms to (1) conduct micro studies of innovation work, (2) view innovation in the context of everyday operations and (3) focus on co-workers’ innovative potential.     

Contingent effects of firm and employee reputations on professional advice adoption

Applying resource-based theory and signaling theory, we argue that firm and employee reputations affect consumer adoption of advice offered by professional service providers, and these effects are contingent on contextual variables. Our study on brokerage reports in Singapore supports our arguments. We show that reliance on firm (employee) reputation when adopting advice is higher (lower) if the evaluation of an entity is an initial rather than a repeated one. Also, reliance on employee reputation increases with stronger recommendation or when the entity has a business relationship with the advice-giving firm. These findings have implications for advice-giving firms and policy makers.     

Predicting new service adoption with conjoint analysis: external validity of BDM-based incentive-aligned and dual-response choice designs

In this paper, we compare the standard, single-response choice-based conjoint (CBC) approach with three extended CBC procedures in terms of their external predictive validity and their ability to realistically capture consumers’ willingness to pay: (1) an incentive-aligned CBC mechanism (IA-CBC), (2) a dual-response CBC procedure (DR-CBC), and (3) an incentive-aligned dual-response CBC approach (IA-DR-CBC). Our empirical study features a unique sample of 2,679 music consumers who participated in a conjoint choice experiment prior to the market entry of a new music streaming service. To judge the predictive accuracy, we contacted the same respondents again 5 months after the launch and compared the predictions with the actual adoption decisions. The results demonstrate that IA-CBC and DR-CBC both increase the predictive accuracy. This result is promising because IA-CBC is not applicable to every research context so that DR-CBC provides a viable alternative. While we do not find an additional external validity improvement through the combination of both extensions, the IA-DR-CBC approach yields the most realistic willingness-to-pay estimates and should therefore be preferred when incentive alignment is feasible.     

Beyond the technology adoption: Technology readiness effects on post-adoption behavior

Technology readiness (TR) refers to people's propensity to embrace and use new technologies. Nowadays, the proliferation of technology-based products and services brings consumers not only benefits but also frustration over ineffective use of products and services. A key factor, therefore, in the diffusion and success of these products and services is how well-prepared consumers are for new technologies. Although some studies examine the relationships between TR and technology adoption, the long-term survival and substantial success of firms rely on the continued use of such technology rather than first use. This study focuses on post-adoption behavior and investigates how TR affects the continued use intention of new technology. Specifically, the study classifies usage behavior into the usage rate of basic functions, the usage rate of innovative functions, and the variety of use of innovative functions. The article then, examines how each dimension (optimism, innovativeness, discomfort and insecurity) of TR influences consumer usage patterns, and how usage patterns affect repurchase intention through consumer satisfaction. The empirical results from IPTV users in Korea show that each dimension of TR has a significantly different influence on usage patterns. The findings show that usage patterns, particularly the use of innovative functions, have a significantly positive impact on consumer satisfaction and repurchase intention. Finally, the article suggests several managerial implications and directions for further studies.     

An architectural perspective on service adoption: A platform design and the case of pluggable cross-border trade compliance in e-commerce

Current e-commerce architectures rely on a small number of monolithic application systems. The adoption of innovative IT functionality within these architectures is a tedious and complex task. The purpose of this article is to present a design for a novel platform architecture to improve the pluggability of e-commerce services. More precisely, the pluggability of services in current architectures is described, a platform architecture is introduced, and its effect on pluggability is evaluated by means of a prototype. The enablers for this architecture are the recent innovations of web programming interfaces, delegated resource access, and client-side web application frameworks. Those technologies are common in social media and their potential in enterprise computing is revealed in this work, based on the example of a trade compliance service for cross-border retail. The results of this study suggest that the architectural design has merits as it improves the pluggability of e-commerce services. Hence, e-commerce companies should consider a paradigm shift and move from using self-contained application components to a platform-based adoption of complementary services.     

Internet adoption in France

The diffusion of innovation models developed in marketing are applied to the adoption of the Internet in France. The most classic of the models, the Bass model, is adjusted to the estimations of Médiamétrie. The non-uniform influence model has been utilised to introduce the network externalities of an increasing influence of previous adopters on the adoption process. Some predictions of the penetration of the Internet in France are proposed.