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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.

The purpose of this study is to measure the Arab States? innovation and imitation levels to understand the factors affecting their diffusion processes. The authors argue that sampling Arab States provides the literature on international diffusion with the ability to contrast between developing and developed countries regarding the diffusion process and to represent a different region with different characteristics both economic and cultural. As such, the authors investigated the diffusion patterns of seven Arab States, namely, Kuwait, the Kingdom of Saudi Arabia (KSA), the United Arab Emirates, Lebanon, Iraq, Libya and Egypt.

The present study mapped the respective Arab States’ diffusion patterns by applying the Bass model on their mobile cellular subscriptions data.

The paper’s contributions include estimating the Arab States diffusion patterns and distinguishing them according to their innovation and imitation coefficients. Findings indicate Kuwait and Libya as the most innovative countries, whereas Egypt and Lebanon ranked as laggards. The present study also reviewed each Arab State’s telecommunication sector which provided a theoretical interpretation for the differences found in their diffusion patterns.

The paper extends diffusion theory to encompass a region otherwise excluded from the literature’s generalizable findings. The present study’s sampling of countries from the Middle East and North African region and subsequent findings provide a stronger basis to draw empirical generalizations about international product diffusion process than previously suggested by the literature.

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.

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.

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 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.

Much attention has been given to adoption and diffusion, defined as the degree of market penetration, of Information and Communications Technologies (ICT) in recent years (Carter, Jambulingam, Gupta, & Melone, 2001; Kiiski & Pohjola, 2002; Milner, 2003; Benhabib & Spiegel, 2005). The theory of diffusion of innovations considers how a new idea spreads throughout the market over time. The ability to accurately predict new product diffusion is of concern to designers, marketers, managers, and researchers alike. However, although the diffusion process of new products is generally accepted as following an s-curve pattern, where diffusion starts slowly, grows exponentially, peaks, and then declines (as shown in Fig. 1), there is considerable disagreement about what factors affect diffusion and how to measure diffusion rates (Bagchi, Kirs, & Lopez, 2008).

Bank adoption of mobile banking globally remains sporadic. Factors influencing this remain under researched. The purpose of this paper is to explore drivers and barriers of bank adoption of mobile banking from a stakeholder perspective.

Using diffusion of innovation (DOI), a mixed method study was conducted. Data were collected using blogging to inform a two-round modified Delphi study. The opinion of 72 members from six stakeholder industries was sought.

The results indicate that DOI theory is still applicable within mobile environments in helping to understand the diffusion of mobile banking. Key drivers of bank adoption were global mobile phone penetration, competitive advantage, customer convenience, strategic importance, customer demand, low perceived risk/security concerns and stakeholder partnerships. Findings suggest low levels of customer demand and lack of return on investment (ROI) are key barriers for banks. The findings have strategic implications for industry players highlighting the importance of mobile banking to maintain market share and customer relations. These influences will inform successful mobile banking strategies by raising awareness of major barriers.

This study concentrates on a bank/stakeholder perspective. It confirms that DOI theory is still applicable within mobile environments. It extends understanding of bank adoption providing useful information for all stakeholders. It has implications for banks regarding multi-channel banking and the motivators and challenges influencing its adoption.

The purpose of this paper is to explore the antecedents of the behavioral intention and adoption of mobile payment services like m-wallets and m-banking by users in India. This is done by examining the diffusion of mobile payment technology within an extended framework of the Unified Theory of Acceptance and Use of Technology (UTAUT) model. The study attempts to extend the UTAUT model further by introducing three more constructs, namely- perceived cost, perceived risk and demonetization effect and analyzes the impact of demonetization that happened in India from November 8, 2016 to December 30, 2016 on the mobile payment service adoption process. Demonetization event is a case in point to assess whether forced adoption breaks the normal diffusion process or lends support to the same in the long term.

A survey was conducted in order to gauge the intention behind the adoption of mobile payment modes by users in India. The questionnaire was administered online solely and 880 responses were received within a period of 20 days from February 3, 2017, to February 23, 2017, using Google Forms as a medium. Usable responses were 640. The study adopted partial least square based structural equation modeling (PLS-SEM) technique to analyze the relation between latent variables: performance expectation, effort expectation, social influence, facilitating conditions, perceived cost, perceived risk, demonetization effect, behavioral intention and usage. For this purpose, SmartPLS3.0 software was used to create path diagrams and calculate estimate the significance of factor loadings using the bootstrap technique.

The key results indicates that behavioral intention, demonetization and facilitating conditions have a positive and significant impact on the adoption of mobile payment services in India. Overall, Model 3, which was extended UTAUT model, was observed to be a better model in explaining the antecedents of behavioral intention and usage. In addition to UTAUT antecedents, perceived cost and perceived risk proved to have additional explanatory power as antecedents of behavioral intention. Age acts as a moderating variable consistently across three models, implying that younger users give more importance to effortless interface of mobile payment services and get more influenced by peers and society that shapes their intention to use mobile payment services.

It is first of its kind attempt to assess the role of Demonetization in examining the antecedents of behavioral intention and adoption of mobile payment services by users in India under an extended UTAUT model. This study comprehensively examined the impact of forced adoption of mobile payment services by users in India in a natural setting provided by demonetization event that took place in India by conducting a primary survey right itself in the month of February, 2017 to get first hand response from the Indian users.