46 research outputs found

    An investigation of university student readiness towards M-learning using Technology Acceptance Model

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    M-learning is learning delivered via mobile devices and mobile technology. The research indicates that this medium of learning has potential to enhance formal as well as informal learning. However, acceptance of m-learning greatly depends upon personal attitude of students towards this medium; therefore this study focuses only on the individual context in which role of studentā€™s readiness towards m-learning is investigated using Technology acceptance model (TAM). TAM is the popular choice among the researchers for investigating acceptance of any new technology primarily because of its robust and parsimonious nature. The sample selected for this study consisted of students from the private sector universities in a developing country. A structured questionnaire was used for data collection. The final results of investigation were based on 244 valid responses. The results indicate that the studentsā€™ skills and psychological readiness strongly influence their perceived ease of use (PEU) and perceived usefulness (PU) of m-learning, whereas both these constructs positively influenced their behavioral intention to use m-learning. The findings of this study have theoretical as well as practical implications which are discussed at the end

    Future of e-Government: An integrated conceptual framework

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    The information and hyper-connectivity revolutions have caused significant disruptions in citizensā€™ interactions with governments all over the world. Failures in implementing e-government interventions suggest the lack of an integrated approach in understanding e-government as a discipline. In this study, we present an overarching and integrated conceptual framework of e-government grounded in robust qualitative research to describe the factors that must be integrated to implement e-government successfully. Drawing insights from 168 in-depth interviews conducted with multiple stakeholders in India, this study defines e-government as a multidimensional construct with customer orientation, channel orientation and technology orientation as its antecedents. Building on customer orientation and relationship marketing theories, this study proposes that the most significant factor impacting success in implementing e-government projects is citizen orientation, followed by channel orientation and technology orientation. The study also identifies the digital divide, economic growth and political stability as moderators of e-government. Furthermore, the study proposes the tangible and intangible outcomes of e-government with perceived privacy and shared understanding as moderating conditions. Finally, the study presents relevant theoretical and practical implications with future research directions.publishedVersio

    Knowledge creation dynamics of technological forecasting and social change special issues

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    Technological Forecasting and Social Change (TFSC) is a leading peer-reviewed journal that addresses issues at the intersection of technology and society. A major strategy of the journal is to actively solicit and publish Special Issues (SIs). These SIs were first launched in 1979 to highlight and solicit manuscripts from the ā€œhotā€ emerging issues of the discipline. This paper aims to analyze SIs and to highlight it's impact on TFSC as compared to Regular Issues (RIs). Using bibliometric analysis, this study first establishes that SIs have a higher impact on the field than RIs when evaluated based on average citations per manuscript, percentage of ā€˜hotā€™ papers, and the rate of citations per annum. The study then identifies leading actors (authors, affiliated institutions, and countries) and journals (knowledge inflow/outflow) that have contributed to the success of TFSC-SIs. Finally, using bibliographic coupling, seven thematic clusters of TFSC's SIs were identified. These clusters were compared with the knowledge clusters developed by Singh et al. (2020) for the entirety of TFSC journals, and four clusters unique to SIs were identified i.e. (Climate Change & Energy, Entrepreneurship and Innovation, Sustainability and, Social Media & Internet of Things). It is observed that these unique SI clusters have received disproportionate attention during the last decade and are likely to influence the future trajectory of the journal

    The role of integrated offline/online social activity and social identification in Facebook citizenship behaviour formation

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    Purpose<: Drawing on social identity theory and prosocial behaviour research, this study explores how people's integration of their offline and online social activities through Facebook cultivates their Facebook citizenship behaviour (FCB). It also offers further insight into the underlying mechanism of offline and online social activity integration - FCB relation by investigating people's social identification with their offline and online social groups as possible mediators. Design/methodology/approach: Based on social identity theory (SIT) literature, community citizenship behaviour and offline-online social activity integration through Facebook, we developed a conceptual model, which was empirically tested using data from 308 Facebook users Findings: The results confirm that the participants' offline-online social activity integration via Facebook is positively linked to their FCB. Further, the integration of offline and online social activity through Facebook positively affects how a person identifies with their offline and online social groups, which in turn causes them to display FCB. In addition, offline/online social identification mediates the integration ā€“ FCB relation. Practical implications: In practice, it is interesting to see people's tendency towards altruistic behaviours within groups they like to associate themselves with. Those who share their Facebook network with their offline friends can use such network to seek help and support. Originality/value: From a theoretical perspective, unlike past research, this study examines how individuals' offline-online social activity integration via Facebook helps them associate with groups. In addition, this study investigates social identification from an offline and online perspective

    Spatial big data and moving objects: a comprehensive survey

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