68 resultados para Technology Adoption

em Deakin Research Online - Australia


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The decision process that organisations utilise when evaluating technology investment opportunities is a complex and even political process; however, the correct decision can provide the organisation with considerable operational and competitive benefits. The research presented in this paper presents the findings of a postal survey of the benefits provided by technology investments to large German manufacturers. It was found that only where middle management generated the idea for the advanced manufacturing technology (AMT) investment was success in that investment significantly more likely. Respondents who established a project team to plan the technology proposal, regardless of the department which generated the ideas for technology investment, were not significantly associated with a greater likelihood for success.

The respondents typically took between 3 and 12 months before making the final decision to invest, irrespective of the department generating the idea for the AMT, and a further 6 months to implement the AMT. Respondents who utilised a discounted cashflow analysis took significantly longer to make the final decision to invest. The greatest number of manufacturing outcomes of significantly higher importance was identified for respondents where Engineering, IT or R&D generated the AMT ideas. It was also determined that the respondents most frequently considered AMT investments in computer hardware or software and technical training for process workers to be necessary at the time of considering the investment. Middle management were found to be significantly more concerned than managers on other levels about opposition of workers to the AMT, while the process workers were significantly more concerned about interruptions to the process during installation.

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We analyse the incentives and welfare implications of costly technology adoption in a two-period duopoly model where firms have different amounts of capital. We also extend our framework to an open economy set-up and examine the relationship between trade and technology adoption. Our findings are as follows. First, no monotone relationship exists between the threshold cost of adoption and capital shares. Second, an unequal distribution of capital, despite lessening competition, can increase total surplus. Third, trade generally encourages adoption of modern technology unless the share of capital for the adopters is too low.

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This folio presents three studies (a dissertation and two electives) which use qualitative case study methodologies to investigate technology adoption from three perspectives. Central to all three studies is the study context of Monash University. The Dissertation explores adoption of web-based learning and teaching approaches from the perspective of teaching academics as they incorporate these to facilitate their students’ learning. The study investigates teaching academics’ reasons for adopting these new technologies, the factors that influenced their adoption decisions, and the challenges they were confronted with, including the contributing factors that impacted on their adoption decisions. The study shows that while contextual factors such as power and politics of the school, department, faculty and the institution impact on adoption, supportive organisational infrastructures and policy frameworks are necessary to encourage adoption, including wider adoption. In turn, on going staff development, adoption of new work practices and being adaptive to changing work environments are key demands made on teaching academics as a result of adopting web-based teaching approaches. Elective 1, a smaller study, leads on from the dissertation and examines the impact of technology adoption on the evolving role of educational designers. The study identifies the educational designers’ role change in assisting teaching academics to move from more conventional forms of teaching to more technology based learner-centred collaborative models. An important aspect of the study is the managers’ perspectives of this role in a university that has adopted a strong flexible learning and technology policy. The findings show that educational designers now work as project managers in larger teams consisting of a wider range of professionals, their expanded role in introducing technology into learning designs, providing staff development in the area, and giving technical help including advice on copyright and intellectual property issues. Elective 2 explores student readiness to adopt these technologies for learning. The study is designed to achieve an understanding of three broad categories of learners from a first year design unit: (1) South East Asian and East Asian students, (2) all other international students, and (3) local Australian students are studied to examine their readiness for modes of learning that are flexible; their approaches to study in a creative discipline area; and their openness to using technology. Findings of the study are discussed under the key themes – dependence on the teacher and classroom environment, flexible learning and working alone, structure, communication and work patterns. The study concludes by discussing the possible cultural attributes that have an impact on the learning. The three studies found that the institution, its people, structures and processes must all adapt, evolve and grow in order to provide effective, engaging, student-centred web-based learning environments. Students in turn must be enabled to manage their study, make use of the technologies and maximise their learning experience. The findings revealed the stage of technology use reached at Monash University at the time of the study through the voices of the teaching academics, educational designers and students.

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Ubiquitous and mobile computing has increased the level of social connectedness. In an era where technology has permeated into spaces of work, play and socializing, social influence has become an important consideration. The operationalization of the social influence construct in the technology adoption and use literature often assumes singular technology use contexts and purposes. We question whether social influence, as operationalized in IS, is reflective of the utilitarian, hedonic and social environment that many individuals operate in. We propose a framework to consider social influence more inclusively, drawing on differences in referent power and levels of expertise. We outline our research approach within the demographic segment of young working professionals. Research in this area is necessary to improve theoretical explanations of adoptive behavior of these technologies. We hope to contribute by suggesting a richer, more encompassing operationalization of the social influence construct for future IS research.

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A debate in the illegal immigration and technology adoption literature suggests that hiring illegal immigrants may be hindering the adoption of new technology, which in turn harms a country’s productivity growth. This paper analyses an individual firm’s behaviour regarding new technology adoption in the presence of illegal immigrants. We assume a Ricardian economy and analyse immigration of illegal unskilled workers in a model of Cournot duopoly where firms are producing homogenous and non-traded goods, and hiring illegal immigrants. A two-stage simultaneous move game is set up: in Stage 1, given the opportunity of hiring illegal immigrants, an individual firm decides whether to adopt the new technology or not, where technology adoption is costly. In Stage 2, each firm will choose the Cournot output level. Solving this two-stage game, we conclude that (i) given the opportunity of hiring illegal immigrants, an individual firm may adopt the new technology and (ii) in the case of zero tolerance of illegal immigration, technology adoption may increase but such technology adoption is immiserizing as it reduces the total surplus.

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 The endless transformation of technological innovation requires greater collaboration of Information Communication and Technology (ICT) in various areas especially in public sectors. Many attempts have been made in improving the quality of E-Government services; one of it is adopting the cloud computing technology. Successful implementation of cloud computing technology can benefit the public sector in many ways one of it is cost reduction. Most government organizations especially in the developing countries are committed in adopting the cloud technology based on the increased demands in cloud adoption in E Government services. Unfortunately, despite all the benefits, the cloud computing technology raises some major risks. The success of implementation of cloud computing technology is determined by how well the government tackles the challenges. Therefore, this paper specifically surveyed the associated challenges of adopting Cloud Technology for E-Government by choosing Malaysia as the case study.

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 Social Recruiting technologies such as LinkedIn and Twitter have been fast emerging as one of the modern recruitment methods. However, research on their effective usage is scarce and outpaced by organisational practice. The current study addresses this gap by investigating the drivers of SR technology adoption on one hand, and their pre-hire outcomes on the other.

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Telemedicine emerges as a viable solution to New Zealand health providers in reaching out to rural patients, in offering medical services and conducting administrative meetings and training. No research exists about adoption of telemedicine in New Zealand. The purpose of this case study was to explain factors influencing adoption of telemedicine utilizing video conferencing technology (TMVC) within a New Zealand hospital known as KiwiCare. Since TMVC is part of IT, tackling it from within technological innovation literature may assist in providing an insight into its adoption within KiwiCare and into the literature. Findings indicate weak presence of critical assessment into technological innovation factors prior to the adoption decision, thereby leading to its weak utilization. Factors like complexity, compatibility and trialability were not assessed extensively by KiwiCare and would have hindered TMVC adoption. TMVC was mainly assessed according to its relative advantage and to its cost effectiveness along with other facilitating and accelerating factors. This is essential but should be alongside technological and other influencing factors highlighted in the literature.

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The paper examines the adoption and diffusion of Digital Television (DTV) in Australia and the United States, identifying historical, technical, regulatory, marketing, and other commonalities and differences that appear to be most significant to its adoption, as both countries have experienced a 'sluggish' diffusion and adoption of DTV so far. Using library research and borrowing the cross-impact matrix method from futures research, the authors develop J J events related to the various influences and groups of stakeholders that had shaped the policy making and adoption of DTV. We then carry out a comparative analysis between the two countries to make evident their impacts, strengths, and directions of influence. The authors suggest that the implementation of DTV in these two developed countries appears to be nearly identical. Even though Australian and US broadcasting models are fundamentally different, the diffusion process for DTV is primarily affected by the nature of digital technology and globalisation, two trends that may be diminishing the import of the nation-state in the technology adoption process. The paper concludes that these broader economic and technical events may have greater import to DTV's successful diffusion than do traditional, cultural, and nationalistic factors suggested in earlier comparative broadcast studies.

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This paper extends Salop’s model of localized competition by introducing the consumers’ willingness to pay (WTP) for clean products and allows an individual firm to choose between a clean or a dirty technology. We assume that a clean technology is relatively costly to adopt. The consumer is willing to pay more for a product produced with clean technology and the model can also be interpreted as a world economy model where each firm represents a country. There exists a critical value of m (proportion of firms adopting the clean technology), m*, such that if m < m* then no country adopts the clean technology, all countries adopt the clean technology only if m > m* while some countries will adopt the clean technology and some will not adopt the clean technology if m = m*. Our results also identify an example of coordination failure. Since symmetric technology adoption delivers the same level of profits as non-adoption, global coordination will be necessary to achieve the clean technology adoption outcome. Finally, we demonstrate that the
private and public (social planner) incentives to adopt clean technology differ.

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This chapter discusses an action research study towards the development of a decision framework to support a fully integrated multi disciplinary Building Information Model (BIM) using a Model Server. The framework was proposed to facilitate multi disciplinary collaborative BIM adoption through, informed selection of a project specific BIM approach and tools contingent upon project collaborators’ readiness, tool capabilities and workflow dependencies. The aim of the research was to explore the technical concerns in relation to Model Servers to support multi disciplinary model integration and collaboration; however it became clear that there were both technical and non technical issues that needed consideration. The evidence also suggests that there are varying levels of adoption which impacts upon further diffusion of the technologies. Therefore the need for a decision framework was identified based on the findings from an exploratory study conducted to investigate industry expectations. The study revealed that even the market leaders who are early technology adopters in the Australian industry in many cases have varying degrees of practical experiential knowledge of BIM and hence at times low levels of confidence of the future diffusion of BIM technology throughout the industry. The study did not focus on the benefits of BIM implementation as this was not the intention, as the industry partners involved are market leaders and early adopters of the technology and did not need convincing of the benefits. Coupled with this there are various other past studies that have contributed to the ‘benefits’ debate. There were numerous factors affecting BIM adoption which were grouped in to two main areas; technical tool functional requirements and needs, and non technical strategic issues. The need for guidance on where to start, what tools were available and how to work through the legal, procurement and cultural challenges was evidenced in the exploratory study. Therefore a BIM decision framework was initiated, based upon these industry concerns. Eight case studies informed the development of the framework and a summary of the key findings is presented. Primary and secondary case studies from firms that have adopted a structured approach to technology adoption are presented. The Framework consists of four interrelated key elements including a strategic purpose and scoping matrix, work process mapping, technical requirements for BIM tools and Model Servers, and framework implementation guide. The BIM framework was presented in draft format again to key industry stakeholders and considered in comparison with current best practice BIM adoption to further validate the framework. There was no request to change any part of the Framework. However, it is an ongoing process and it will be presented again to industry through the various project partners. The Framework may be refined within the boundaries of the action research process as an ongoing activity as more experiential knowledge can be incorporated.

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Mobile computing devices such as personal digital assistants, smart mobile phones, and other handheld computing devices hold much promise in terms of their organizational application. Many existing models of the individual acceptance and implementation of information technology in organizational contexts have been developed in the era of “at the office” computing such as MIS, office automation, groupware, and so forth. We conducted two in-depth case studies of the implementation of mobile technology in healthcare organizations. The studies highlight interrelated individual use contexts due to the mobility of the technology: the individual as employee, as professional, as private user, and as member of society. The cases show that influences emanating from these use contexts impacted on the individual adoption of the technology within the organization. While broad extra-organizational influences are incorporated in some existing individual technology adoption models, we show that it becomes relevant to accommodate these influences more specifically in research models of mobile computing in organizations. Based on the extant literature and the case study data we pave the way toward more comprehensive models of the adoption and implementation of mobile technologies in organizations.