This study examined the uses of computer-mediated communication (CMC) by educators in selected public schools. It used Rogers' Diffusion of Innovation Theory as the underpinnings of the study. CMC refers to any exchange of information that involves the use of computers for communication between individuals or individuals and a machine. This study was an exploration of difficulties users confront, what services they access, and the tasks they accomplish when using CMC. It investigated the factors that affect the use of CMC. The sample population was drawn from registered users on TENET, the Texas Education Network as of December 1997. The educators were described with frequency and percentages analyzing the demographic data. For the research, eight indices were selected to test how strongly these user and environmental attributes were associated with the use of CMC. These variables were (1) education, (2) position, (3) place of employment, (4) geographic location, (5) district size, (6) organization vitality, (7) adopter resources, and (8) instrumentality Two dependent variables were used to test for usage: (1) depth or frequency of CMC usage and amount of time spent online and (2) breadth or variety of Internet utilities used. Additionally, the users' perception of network benefits was measured. Network benefits were correlated with social interaction and perception of CMC to investigate what tasks educators were accomplishing with CMC. Correlations, SEQ CHAPTER h r 1 crosstabulations, and ANOVAs were used to analysis the data for testing the four hypotheses. The major findings of the study, based on the hypotheses tested, were that the socioeconomic variables of education and position influenced the use of CMC. A significant finding is that teachers used e-mail and for Internet resources less frequently than those in other positions. An interesting finding was that frequency of use was more significant for usage than amount of time spent online. This implied that an accessible computer and network connection was more important than the amount of time available to use it. There was little evidence that place of employment, geographic location, or school district size influenced differences in use or nonuse of CMC features. Significant findings for Organization Vitality suggest that a school could contribute to usage by educators when computers and network connections that were close, convenient, and accessible. The Individual Resources of importance for usage were years of experience and confidence with computers and Internet usage. The heavy uses of CMC for communication attested to the importance of CMC in reducing practitioner isolation for many educators. Communication, professional development, work productivity, and professional information seeking showed significant relationships with network benefits and perceived CMC attributes. CMC is a pervasive communication technology that continues to expand in all areas of society. For educators and education it is a venue promising great rewards.

The objective of this research is to understand how consumers perceive mobile payment services and the consumers’ maturity level to adopt mobile payments in the Swedish market. To reach our objective interviews were conducted asking about consumers experience with current payment methods and how consumers perceive mobile payment services. Questions from the interviews are derived from theories about technology adoption mainly from Diffusion of Innovations and Technology Acceptance Model. In addition questions about how consumers perceive mobile payment services are based on existing and concept based features. The results show that consumers are open to, and can even consider paying to use the mobile phone as a payment instrument. At the moment mobile payment services are either based on Near Field Communication (NFC) or Quick Response (QR) code technologies at Point of Sale(POS) purchases. Consumer perceive each payment solution differently; NFC based payments were perceived as more convenient while QR code were perceived as more secure. In addition mobile payment services have the potential to incorporate additional features that can increase its attractiveness, such as storing loyalty cards digitally and the ability to transfer moneybetween accounts. The maturity level among the consumers are in an early stage because their knowledge about mobile payment services is very low at the moment, due to that the interviewees did not consider themselves as early adopters when new technologie s are introduced.

Innovations such as combustion engines, electricity and assembly lines have all had a significant role in manufacturing, where the past three industrial revolutions have changed the way manufacturing is performed. The technical progress within the manufacturing industry continues at a high rate and today's progress can be seen as a part of the fourth industrial revolution. The progress can be exemplified by ”Industrie 4.0”; the German government's vision of future manufacturing. Previous studies have been conducted with the aim of investigating the benefits, progress and relevance of Industry 4.0-technologies. Little emphasis in these studies has been put on differences in implementation and relevance of Industry 4.0-technologies across and within industries. This thesis aims to investigate the adoption of Industry 4.0-technologies among and within selected industries and what types of patterns that exists among them. Using a qualitative multiple case study consisting of firms from Aerospace, Heavy equipment, Automation, Electronics and Motor Vehicle Industry, we gain insight into how leading firms are implementing the technologies. In order to identify the factors determining how Industry 4.0-technologies are implemented and what common themes can be found, we introduce the concept production logic, which is built upon the connection between competitive priorities; quality, flexibility, delivery time, cost efficiency and ergonomics. This thesis has two contributions. In our first contribution, we have categorized technologies within Industry 4.0 into two bundles; the Human-Machine-Interface (HMI) and the connectivity bundle. The HMI bundle includes devices for assisting operators in manufacturing activities, such as touchscreens, augmented reality and collaborative robots. The connectivity-bundle includes systems for connecting devices, collecting and analyzing data from the digitalized factory. The result of this master thesis indicates that depending on a firm’s or industry’s logic of production, the adoption of elements from the technology bundles differ. Firms where flexibility is dominant tend to implement elements from the HMI-bundle to a larger degree. In the other end, firms with few product variations where quality and efficiency dominates the production logic tends to implement elements from the connectivity bundle in order to tightly monitor and improve quality in their assembly. Regardless of production logic, firms are implementing elements from both bundles, but with different composition and applications. The second contribution is within the literature of technological transitions. In this contribution, we have studied the rise and development of the HMI-bundle in the light of Geels (2002) Multi-Level Perspective (MLP). It can be concluded that an increased pressure on the landscape-level in the form of changes in the consumer-market and the attitudes within the labor force has created a gradual spread of the HMI-bundle within industries. The bundles have also been studied through Rogers (1995) five attributes of innovation, where the lack of testability and observability prevents increased application of M2M-interfaces. Concerning Big Data and analytics, the high complexity prevents the technology from being further applied. As the HMI-bundle involves a number of technologies with large differences in properties, it is hard draw any conclusion using the attributes of innovation about what limits their application.

Despite the advent of technology into consumers’ daily lives, many consumers are plagued by feelings of fear towards complex technology-related products. Feelings of anxiety and fear often lead to the avoidance of technology; in other words, so-called ‘technophobia’. This study aims to establish whether gender differences in technophobia and the adoption of high-technology consumer products continue to exist in this digital age, or whether they have indeed changed over time. Further, this study also aims to uncover the main social reasons that gender differences in technophobia can occur. The results of this study provide new insight into gender differences towards technology purchases. The findings should assist marketers by providing a clearer understanding of how men and women adopt new technology products in the 21st century. By understanding gender differences in attitudes towards technology, marketers are better able to target and communicate technology benefits that consumers can relate to and appreciate. Following a review of the available literature, the theory of the diffusion of innovation was presented as a foundation to studies of gender differences in technophobia. The Technology Readiness Index (TRI) was introduced as a sound means of measuring technophobia, based on an in-depth study of the available measurement scales to measure for technophobia. The study included men and women, aged between 25 and 35 years, of higher socio-economic classes, residing in the Northern Johannesburg regions of South Africa. Gender differences in levels of technophobia are studied in relation to three different technologies (computers, DSLR cameras and home automation technology) in order to compare gender differences towards technologies at different stages of the diffusion curve. Future research avenues regarding studies in to technophobia are also presented. The results indicate that traditional differences between genders towards technology still exist amongst South African consumers. Women continue to experience higher levels of technophobia towards new technology than men. However, the degree of these differences changes, depending on the technology used. Regarding why these gender differences may occur, levels of optimism, risk taking and cognitive involvement between genders were measured. In general, the results indicate that traditional gender differences towards technology continue to exist in South Africa. Thus, although marketers may assume that in the modern digital age, men and women are consuming electronics in the same manner, this study shows that this is not necessarily the case, and as a new product is introduced to the market, marketers need to employ differentiating strategies in order to target both men and women successfully. By tailoring the manner in which technology is advertised and shared to the female consumer, marketers are better able to capture this more ‘technophobic’ consumer. The advertising of technologies exasperates the gender divide by confirming established sex role stereotypes, and managers need to learn to differentiate and cater for both genders when advertising technology products. This study illustrates that the degree of technophobia women possess towards technology depends on the technology and its ‘inherent gender bias’ and marketers need to adapt their communications according to the technology being sold. Marketers in the electronics industry cannot have a ‘one-hat-fits-all’ assumption of women and technology, and need to analyse the ‘technology fit’ and communicate it to the market accordingly. By uncovering the social reasons why gender differences continue to exist, advertisers can use these inherent gender differences to test and design advertisements that improve female beliefs about the technology. Marketers are encouraged to experiment with different communication strategies that improve inherent beliefs based on social norms. This study found that women are less optimistic than men, exhibit higher levels of risk aversion, and higher cognitive-processing than men when considering technology purchases. The greatest challenge in stimulating the adoption of high-technology products is the perceived risk that a consumer undergoes when making a purchasing decision. Increasing levels of consumer resistance are also attributed to the sheer volume of new information in the digital era and managers thus need to employ simplifying strategies in order to help break through the messaging clutter and alleviate the information overload that the consumer is experiencing. Managers need to find a balance between being seen as innovative market leaders, and successfully introducing the technology at a pace that invites consumer adoption and acceptance. This study provides strong empirical support for managers attempting to successfully target technology products to men and women. By uncovering gender differences in the way that one reacts to technology, one is better able to understand the consumer and marketing efforts are strengthened. This study not only sheds some light on consumer attitudes, feelings and reactions to new technologies, but it also provides important insight into how men and women accept technology in the market. / Dissertation (MCom)--University of Pretoria, 2011. / Marketing Management / MCom / Unrestricted

Brazil is one of the largest biomass producers in the world, thus it has a huge potential for biogas production across all its territory. Nowadays, biogas production remains largely unexplored, representing just a small fraction of its potential. The adoption of biogas technologies has grown over the past years, but it is unevenly distributed across Brazilian states. This master thesis investigates the conditions under which the widespread diffusion of biogas technologies can be enabled in the Brazilian context by looking at the factors that influence the adoption of biogas technologies and why it differs across the Brazilian territory. Technological innovation systems (TIS), societal embedding, and diffusion of innovation theory are combined in the theoretical framework to create a broad understanding of the diffusion process of biogas technologies in Brazil. While TIS focusses on what are the functions been performed within the system, Societal embedding contributes to the understanding of why technological diffusion may not happen in the same way in different regions and how technologies are rooted in society. Diffusion of innovation theory adds to the importance of individual choices and strategies in the adoption of technologies. A comparative case study was design between the states São Paulo and Paraná. 16 semi-structured interviews served as the main research instrument with the support of document studies. When looking at the factors that could impact the adoption of biogas technologies the presence of specialized actors that can offer technical support to the implementation of projects locally proved to be positive considering that biogas technologies are still novel in Brazil. The unreliability of the energy grid in rural regions also favours the adoption of biogas technologies for electricity generation in agriculture properties that can combined waste treatment with energy security. Access to financial and human resources is still the largest barrier for the diffusion of biogas technologies. Financial institutions are at large unprepared to offer good conditions for the implementation of biogas projects, mainly because they do not understand the singularities of these projects. The adoption of biogas technologies in the case studies was mainly dictated by the economic activities in place, which shaped the view on biogas technologies. The complexities of the regulatory environment in Brazil could explain why electricity generation is still the main application of biogas technologies as the electricity market is regulated at national level while gas markets are the responsibility of individual states. When biogas technologies are portraited as a tool for sustainable development, other advantages of these technologies are highlighted – environmental and social benefits such as waste treatment and job creation – creating a better claim for biogas technologies which could boost adoption.

The original study on which this study was based on was conducted by Jacob Goldenberg, Sangman Han, Donald R.Lehmann, and Jae Weon Hong and published in 2009. In a slight contrast to Goldenberg et al (2009), this study was conducted among a bottom of the pyramid (BOP) network in South Africa using one non discretionary product whilst the original study was conducted on multiple high tech products in Korea This study explores the role of hubs (people with an outstanding number of social ties) in diffusion and adoption of products. The study was conducted using data on a large network and its adoption of a product (electricity) to identify two types of hubs – innovative and follower hubs and their role in influencing adoption ala Goldenberg et al (2009). Even though hubs are not necessarily opinion leaders nor are they necessarily innovators (as described by Rogers, (1962)) they tend to adopt earlier in the diffusion process. Innovator hubs have a greater impact on speed of adoption whilst Follower hubs have greater impact on the size of the market or total number of adoptions. Interestingly and crucially this early adoption behaviour of hubs can be a useful predictor of future product success. Among BOP network nodes, relationships and trust are important in determining the amount or degree of influence one can exert on a fellow network member. Homogeneity increases trust which in turn impacts the role of a hub as a force of influence. The centrality of hubs to networks is also a factor behind their role as information to the rest of the network passes through them, to a degree giving them control over the dissemination of information. Copyright / Dissertation (MBA)--University of Pretoria, 2010. / Gordon Institute of Business Science (GIBS) / unrestricted

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Background:Rising greenhouse gas levels through the use of traditional ICE technology in the transport industry have created a worldwide environmental crisis. Battery Electric Bus adoption is a prominent alternative currently being discussed in the public transport industry and represents an inevitable change towards a sustainable future. Purpose:The establishment of a theoretical framework that analyzes primary and secondary data todefine the factors promoting BEB implementation. Method:The study follows a qualitative research approach gathering data in the form of semi-structured interviews which are analyzed to develop an objective theory. Conclusion:The results show that the primary factors influencing diffusion of BEBs are technology factors, macro-economic factors, and socio-political factors. The research defines the relationships between them to further understand their effects on BEB diffusion. The findings develop a theoretical framework around these factors and their effects on one another and the diffusion of BEBs in the industry.

Federal legislation, the Office of Technology Assessment of the U. S. Congress, and national and state technological standards strongly encourage faculty to use computer technology in their lessons as a teaching tool. Technological standards have existed for several years that strongly encourage the use of computer technology in colleges and universities as a teaching tool. Yet it is difficult for faculty to infuse technology into their teaching. The purpose of this study was to assess and identify the factors that influence business teacher educators to adopt computer technology methods and utilize them in their instruction and to determine the extent to which business teacher educators are adopting computer technology in their teaching. The population consisted of 95 members of the National Association of Teacher Educators for Business Education. Findings from the descriptive statistics revealed that the largest percentage of the business teacher educators were early adopters. They indicated that they always used word processing and almost always integrated computers, projectors, and email in their instruction during the past semester. The study also found certain social, organizational, and personal motivational factors that the business teacher educators considered as very important in influencing them to adopt emerging computer technology for use in their instruction. The means revealed differences within the respondents' personal and employment characteristics and the extent to which they adopt current computer technology as a teaching tool; however, an analysis of variance (ANOVA) indicated no significant difference between these variables. Also, multiple regression analysis revealed that the importance of students, a specific adoption category, and the importance of physical resources (hardware) significantly predicted computer technology adoption. The study also revealed that the business teacher educators in this study have the potential to serve as change agents and role models for their student clientele and peers since the findings suggest that these faculty members are among the first individuals to adopt computer technology for use in their instruction. The findings from the study have the potential to contribute to the development of an adopter profile that could be used to identify potential adopters of emerging computer technology. / Ph. D.

This research was about the continuous intention of healthcare professionals to use internet of medical things (IoMT) embedded with artificial intelligence (AI). IoMT and AI are evolving innovations and diffusing at the same time. It was not known in what way the two complex technologies diffusing concurrently could influence continuous intention to use IoMT. In addition, behavioural aspects namely motivation and training to use IoMT have been argued to intervene in the relationship between an AI based IoMT and continuous intention to use IoMT. Diffusion of Innovation theory was applied to explain the relationship between diffusion factors that aid the diffusion of AI based IoMT and continuous intention to use IoMT. The five factors relative advantage, compatibility, complexity, observability and trialability were chosen as determinants of continuous intention to use IoMT using DoI theory. Self-determination theory and theory of planned behaviour were used to introduce the interventions in the relationship between diffusion factors and continuous intention to use IoMT. UTAUT was used to explain the influence of the moderators artificial intelligence awareness, novelty seeking behaviour and age of healthcare professionals. The central issue investigated was the determinants of continuous intention of healthcare professionals to use IoMT with behavioural attributes of motivation and training conceived as mediators of the relationship between diffusion factors and continuous intention to use IoMT in the presence of moderators. Quantitative research methodology was used to test the research model developed to understand the relationship between the five diffusion of innovation theory factors and continuous intention to use IoMT when AI based IoMT is still diffusing. The concurrent diffusion of two new technologies was investigated using a research model that was developed for studying the healthcare professionals and their intention. The research was conducted in Bahrain in the healthcare sector. A sample of 354 healthcare professionals participated in the research. Structural equation modelling was used to analyse the data and test the hypothesis. The research showed that healthcare professionals will continue to use concurrently diffusing technologies depending on the relative advantage, complexity and compatibility of the innovations that diffuse. In addition, the results show that healthcare professionals will be motivated by the compatibility of AI-based IoMT if they have to continuously use IoMT. Furthermore, training enables both the organization and the healthcare professionals to overcome dilemma in case they have to continue to use an innovation during its diffusion or when new innovation surface in the market. Finally, artificial intelligence awareness is able to moderate the relationship between relative advantage, complexity and training to use IoMT. Thus, this research contributes to the discipline of behavioural intention of healthcare professionals in determining the influence of an artificial intelligence based IoMT on continuous intention to use IoMT when artificial intelligence embedded in IoMT diffuses concurrently with IoMT. Where IoMT diffusion factors can be used as a determine of continuous intention to use IoMT, artificial intelligence could be understood as a moderator of the relationship between diffusion factors and training to use IoMT, thus demonstrating the combined diffusion of the two technologies diffusing concurrently.