Search results

Taiwan is one of several leading countries in the mobile music context. Accordingly, Taiwan's experiences in promoting mobile music service diffusion are of importance and interest to international practitioners and researchers. Applying Rogers' innovation diffusion theory, this study aims to employ econometric models to investigate whether the diffusion of mobile music service adoption is affected by external influences (e.g. mass media advertising, salespeople, and service providers), internal influences (e.g. interactions and imitations among acquaintances), or a combination of such influences.

To determine which influence best explained the diffusion of mobile music adoptions, the external, internal, and Von Bertalanffy mixed influence diffusion models were tested in this study. GNUS, a strongly functional language and environment to statistically explore data sets, was used to estimate the parameters of each model. The performance of each diffusion model was then examined using the Akaike AIC and Schwarz BIC statistics.

Findings indicated that the Von Bertalanffy mixed influences model best describes the diffusion pattern of mobile music service adoption and that acquaintances' influence in terms of interactions is the dominant factor influencing mobile music service adoption decision in Taiwan.

How managers of a mobile music service provider can use the internal and external influences interchangeably to effectively accelerate the mobile music diffusion at the different stage of product lifecycle is presented in this study. Indeed, the mobile music service is one of the most important industries worldwide not only because its penetration rate in many countries is over 50 percent, but also because of its killer applications. In light of this, the study contributes highly to theoretical and empirical examinations because the diffusion of the mobile music services within a society is the essence of the development/usage of the m‐commerce or music industries.

This paper aims to develop a diffusion model that can be used to understand and forecast the market growth of service products in a competitive environment. Despite the fast growth of the service sector, the existing literature has dedicated little effort to modeling the market growth of service products.

The authors propose a choice-type diffusion model that links the issues of service product utility, customers’ choice preference, customer switching behavior and the market growth of service products. The authors use the market data of one online product and assess the performance of the proposed model using this case.

The results demonstrate the model’s good fitting and forecasting performance. Specifically, the proposed model has better performance than the benchmarks the authors choose from the existing literature.

This study shows that market growth of service products can have different diffusion patterns with that of durable goods, which is evidence of the needs for specific models for service diffusion. Further, this study demonstrates the important role of customer switching in service diffusion. Also for marketing practitioners, this study provides an explanation and forecasting tool for the market growth of service products, which can be used for marketing planning in the service industry.

The purpose of this paper is to show that research on policy diffusion mechanism of Government Procurement of Public Services (GPPS) is beneficial to improve the efficiency of policy formulation and implementation.

In view of the four dimensions which are internal demand, external pressure, policy innovation environment and service characteristic, a system of factors affecting policy diffusion is established. On this basis, a Multilayer Fuzzy Cognitive Map (MFCM) model for policy diffusion of GPPS is constructed. Nonlinear Hebbian Learning algorithm and genetic algorithm are applied to optimize the two components of the MFCM model, which are relationship between nodes at the same layer and influence weights between nodes at different layers, respectively. Taking Nanjing municipal government purchasing elderly-care services in China as the empirical object, simulation of policy diffusion based on the MFCM model is carried out, aiming to obtain the key factors influencing policy diffusion and the dynamic diffusion mechanism of GPPS policy.

Research results show that, compared with monolayer Fuzzy Cognitive Map, the MFCM model converges faster. In addition, simulation results of policy diffusion indicate that economic development level of jurisdiction, superior pressure, administrative level and operability of services are key influencing factors which are under four dimensions correspondingly. And the dynamic influencing mechanism of key factors has also been learned.

This paper constructs the MFCM model, which is a new approach based on several monolayer FCMs, to study the policy diffusion mechanism.

The Bass model is widely used in the literature to capture the diffusion of innovations and shows excellent predictive power in the context of durable goods. However, the model's efficacy fades when services are the target of analysis. Services that users adopt and subsequently utilize regularly are regarded as a continuous process that entails the possibility of dis-adoption and re-adoption. These aspects are not accounted for in the traditional Bass model. Thus, this study extends the Bass model to information system (IS)-based services by taking into account the unique nature of service adoption: the possibility of dis-adoption and re-adoption.

The proposed hypotheses were empirically tested using a longitudinal study of mobile service usage over 18 months. The longitudinal design provides a stronger position than the typical cross-sectional survey to understand the dynamics and infer causality.

Results show that the inclusion of the dis-adoption and re-adoption rates in the Bass model significantly improves the explanatory power over the traditional Bass model.

Consumption of services delivered through IS has exponentially increased. However, understanding on the diffusion pattern of IS-based services is limited. Our study is the first to examine the effect of dis-adoption and re-adoption together in the innovation diffusion process. The study offers significant implications for researchers and practitioners. The extended Bass model can help service firms develop an accurate prediction about the number of adopters at different periods of time.

The purpose of this paper is to propose a systemic methodology to assess the potential of and facilitate policies for the diffusion of a smartphone based service enabling supply chain (SC) operations in the e-grocery sector.

A System Dynamics (SD) model combining the Bass paradigm for innovation diffusion and an inventory management framework is developed. Semi-structured interviews are conducted to understand the industry business processes; a simple SD model is designed to capture the most important variables together with the relationships among them; a detailed SD model is calibrated and simulation outcomes are analysed.

The efficiency and reliability of the service drive its diffusion among producers and consumers, who in turn persuade retailers to adopt. The assessment methodology can be part of feasibility studies and marketing investigations in order to understand the impact of e-commerce tools on SC processes.

This contribution stresses the need to analyse how mobile information technologies may benefit all the business processes of the e-grocery SC, and not just one single process or stakeholder.

The approach offers a roadmap to identify the factors influencing the diffusion of mobile e-grocery services as well as the associated impacts on SC processes.

The work contributes to overcoming the lack of approaches studying the diffusion of e-grocery by taking into account all the relevant aspects and stakeholders involved and not only the consumer perspective.

The purpose of this paper is to examine how the market potential for internet services interacted historically with the diffusion process of fixed line and mobile telephony.

The authors evaluate the historical interactions between internet, fixed line and mobile telephony using the International Telecommunications Union data set from 1991 until 2003 for 214 countries.

It was found that between 1991 and 2003 mobile and internet services were fully complementary; fixed line facilitated the diffusion of internet service, but internet diffusion did not affect fixed line telephony. The authors discuss the implications of these results in the light of current developments of the telecommunications industry.

Internet adoption should be analysed in close relation to the adoption of other telecommunication services, such as fixed line and mobile telephony.

The paper shows the interconnectivity of the internet with other telecommunication services and emphasizes the asymmetric nature of these interactions. Telecommunication services interactions are discussed in the light of recent industry developments.

This paper aims to identify the diffusion patterns, especially the communication channels, in the diffusion and adoption of research data management services (RDMS) among libraries.

Literature about the RDMS in individual libraries was gathered and analyzed. Data relevant to the research questions were extracted and analyzed.

Early adopters conduct much original research to create RDMS and they often serve as change agents in diffusing their RDMS and related innovations to other libraries. In contrast, late adopters usually learn from early adopters and use their innovations for establishing their own RDMS. Communication channels used in diffusing RDMS deviate slightly from those reported in general diffusion of innovations (DOI) theories.

Gathered literature provides incomplete and uneven information for RDMS adopters. This makes it difficult to identify adopter categories and test many generalizations in DOI theories. To overcome these limitations, surveys and interviews will be conducted in the future.

Findings from this project contribute to general DOI theories because RDMS is unique compared with many other innovations. The diffusion of RDMS is a decentralized process that involves a high-degree of reinvention and it involves the generation and diffusion of many relevant innovations. The project also identified scholarly communication and inter-organization networks as new types of communication channels that are not well accounted for in existing DOI theories.

How can a digital platform provider successfully secure users in its early stage to build an ecosystem? The purpose of this paper is to explore this issue through a case study on the deployment of the digital platform service RecordFarm and identifies the reasons behind its successful market access, overcoming the chronic chicken-egg problem in a two-sided market.

The study empirically analyses the core user groups’ diffusion and usage rates by using a susceptible-infectious-recovery model of an epidemic based on a user survey and extensive archival data from the RecordFarm database.

The study identifies two important early stage characteristics for a business platform to be successful: the core users’ activities on the platform are a critical element for the network’s expansion and usage, and user relationships are more important than user contents on the digital platform.

This study confirms that organic interactions through active behaviours, such as visit frequency, uploading contents, and comment activities, are core elements for a successful digital platform to settle in the market early in the face of the difficulties of a two-sided market.

The purpose of this paper is to study mobile services for supply chain management (SCM) in the electronic grocery (e-grocery) sector. The authors investigate their diffusion and formulate policies in order to stimulate the adoption.

A System Dynamics model is proposed for a short fresh food supply chain (SC). The model predicts how product traceability, mobile payment, and time-based delivery management functionalities contribute to the adoption of a SCM mobile application.

The three services drive the diffusion of the application. A high level of real time information brings decreased inventory levels and more frequent order placing, leading to an increased number of logistics transactions managed by the mobile application and growth in the associated revenue for the service provider company.

The proposed study fosters research on overcoming the barriers that prevent integration, collaboration, and better visibility in e-grocery SCs.

This work constitutes a roadmap to identify the key enabling factors of e-grocery expansion.

This is one of the few contributions focussing on increasing the efficiency of e-grocery SCs by applying management strategies supported by mobile devices.

Examines a new addition to thinking on adoption and diffusion of service innovations – the Cultural Anchoring Diffusion/Assimilation Model. Suggests that certain service innovations may encourage a type of psychological dependence that leads an individual′s self‐concept to become linked to his or her usage of a new service. Recommends, as a result of this model, several strategies for service marketing managers.