Journal of Theoretical and Applied Electronic Commerce Research 

About: Journal of Theoretical and Applied Electronic Commerce Research is an academic journal published by Multidisciplinary Digital Publishing Institute. The journal publishes majorly in the area(s): Computer science & E-commerce. It has an ISSN identifier of 0718-1876. It is also open access. Over the lifetime, 696 publications have been published receiving 12060 citations. The journal is also known as: JTAER.

Smart ideas for smart cities: investigating crowdsourcing for generating and selecting ideas for ICT innovation in a city context

Abstract: Within this article, the strengths and weaknesses of crowdsourcing for idea generation and idea selection in the context of smart city innovation are investigated. First, smart cities are defined next to similar but different concepts such as digital cities, intelligent cities or ubiquitous cities. It is argued that the smart city-concept is in fact a more user-centered evolution of the other city-concepts which seem to be more technological deterministic in nature. The principles of crowdsourcing are explained and the different manifestations are demonstrated. By means of a case study, the generation of ideas for innovative uses of ICT for city innovation by citizens through an online platform is studied, as well as the selection process. For this selection, a crowdsourcing solution is compared to a selection made by external experts. The comparison of both indicates that using the crowd as gatekeeper and selector of innovative ideas yields a long list with high user benefits. However, the generation of ideas in itself appeared not to deliver extremely innovative ideas. Crowdsourcing thus appears to be a useful and effective tool in the context of smart city innovation, but should be thoughtfully used and combined with other user involvement approaches and within broader frameworks such as Living Labs.

A conceptual framework and propositions for the acceptance of mobile services

Abstract: Mobile services are heralded to create a tremendous spectrum of business opportunities. User acceptance of these services is of paramount importance. Consequently, a deeper insight into theory-based research is required to better understand the underlying motivations that lead users to adopting mobile services. As mobile services bring additional functional dimensions, including hedonic and experiential aspects, using extant models for predicting mobile services acceptance by individuals may be inadequate. The aim of this paper is to explore, analyse and critically assess the use of existing acceptance theories in the light of the evolving and ubiquitous mobile services and their underlying technologies. Constructs affecting consumer adoption behaviour are discussed and relevant propositions are made. Managerial implications are explored and future research directions are also identified.

Shopping and word-of-mouth intentions on social media

Abstract: Social Media has been gaining popularity worldwide over the last years at an increasingly growing rate. Motivated by this fact, firms are piloting different approaches of promoting their products and services to consumers in order to capitalize on the prominence of such websites. However, there is much debate in the academic and business community about the potential of social media as a platform for marketing and commerce, and the viable strategies that could constitute them as a possible solution for future ventures. Research to date has been growing, with only a limited number of studies exploring the business potential of social media. The aim of this research is to elucidate how specific aspects of social media websites foster user intention to browse products, and the effect that this has in shaping purchasing and information sharing intentions. Utilitarian and Hedonic motivation theory provides the theoretical background on which we segregate the factors that contribute to product browsing on social media websites. Partial Least Squares (PLS) analysis is performed on data obtained from 165 social media users to test our research model. Outcomes indicate that specific aspects trigger Utilitarian (Convenience and Product Selection) and Hedonic (Idea and Adventure) motivations which in sequence impact user intention to browse products on such mediums. Finally, browsing intention is linked in a significantly positive manner with purchasing and word-of-mouth intention.

Building a research model for mobile wallet consumer adoption: the case of mobile Suica in Japan

Abstract: The growth of mobile commerce, or the purchase of services or goods using mobile technology, heavily depends on the availability, reliability, and acceptance of mobile wallet systems. Although several researchers have attempted to create models on the acceptance of such mobile payment systems, no single comprehensive framework has yet emerged. Based upon a broad literature review of mobile technology adoption, a comprehensive model integrating eleven key consumer-related variables affecting the adoption of mobile payment systems is proposed. This model, based on established theoretical underpinnings originally established in the technology acceptance literature, extends existing frameworks by including attractiveness of alternatives and by proposing relationships between the key constructs. Japan is at the forefront of such technology and a number of domestic companies have been effectively developing and marketing mobile wallets for some time. Using this proposed framework, we present the case of the successful adoption of Mobile Suica in Japan, which can serve as a model for the rapid diffusion of such payment systems for other countries where adoption has been unexpectedly slow.

Data-driven innovation through open government data

Abstract: The exponentially growing production of data and the social trend towards openness and sharing are powerful forces that are changing the global economy and society. Governments around the world have become active participants in this evolution, opening up their data for access and re-use by public and private agents alike. The phenomenon of Open Government Data has spread around the world in the last four years, driven by the widely held belief that use of Open Government Data has the ability to generate both economic and social value. However, a cursory review of the popular press, as well as an investigation of academic research and empirical data, reveals the need to further understand the relationship between Open Government Data and value. In this paper, we focus on how use of Open Government Data can bring about new innovative solutions that can generate social and economic value. We apply a critical realist approach to a case study analysis to uncover the mechanisms that can explain how data is transformed to value. We explore the case of Opower, a pioneer in using and transforming data to induce a behavioral change that has resulted in a considerable reduction in energy use over the last six years.