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This chapter synthesizes findings from the reviews of education using Web 2.0, social networking, mobile learning, and virtual worlds, in light of the earlier chapters on context, technology, pedagogy, content, and design. Benefits and issues associated technology-enhanced learning are generalized, with an important finding being the quite different ways that different technologies contribute to each. Twenty technology-enhanced learning design principles are derived from abstracting the Web 2.0, social networking, mobile learning, and virtual worlds literature. The benefits, issues, and technology-enhanced learning design principles are then related to one another by virtue of 13 clusters of concerns, namely pedagogy, access, communication, content representation, collaboration, motivation and engagement, vicarious learning and reflection, digital learning capabilities, assessment and feedback, student-centered learning, learning communities, protecting students, and teacher support. The analysis enables the general learning technology literature to be linked to concrete examples and evidential sources, so that educators and researchers can construct a deep and connected understanding of technology-enhanced learning design.

Based on the survey data of 1,152 households in three provinces of Shaanxi, Gansu and Ningxia on the Loess Plateau, this paper aims to empirically analyze the impact of aging and off-farm employment on farmers’ adoption behavior of soil and water conservation technology. This paper analyzes the moderating effect of social network and the mediating effect of technological cognition in this impact relationship.

Based on the above analysis, the second part of this paper is based on relevant theories and constructs a theoretical model of the relationship of aging, off-farm employment, social network, technology cognition and farmers’ adoption behavior of soil and water conservation technology. The third part introduces research methods, variable selection and descriptive statistics analysis of variables. The fourth part, based on the data of Shaanxi, Gansu and Ningxia provinces in the Loess Plateau in 2016, empirically analyzes the impact of aging, off-farm employment and social network on the farmers’ adoption behavior of soil and water conservation technology. This paper further examines the moderating effect of social network and the mediating effect of technology cognition in this influence relationship. Finally, based on the findings of the empirical study, this paper puts forward countermeasures and suggestions.

First, aging and off-farm employment have a significant negative impact on farmers’ adoption behavior of soil and water conservation technology, while social network has a significant positive effect. Second, social network has alleviated the effect of aging and off-farm employment on restraining farmers’ adoption behavior of soil and water conservation technology. Third, aging and off-farm employment have restrained farmers’ cognition of soil and water conservation technology. Social network has promoted farmers’ cognition of soil and water conservation technology. Social network plays a moderating role in the impact of aging and off-farm employment on farmers’ cognition of soil and water conservation technology. Technology cognition plays a mediating role in the impact of social network on farmers’ adoption behavior of soil and water conservation technology.

This paper integrates the aging, off-farm employment and social network into the same analytical framework and reveals their impact on farmers’ adoption behavior of soil and water conservation technology and its action mechanism, which enriches the impact of human capital and social network on farmers’ adoption behavior of soil and water conservation technology. Then taking the social network as a moderator variable, the paper verifies its moderating effect on the relationship of aging, off-farm employment and farmers’ adoption behavior of soil and water conservation technology. Farmers’ technology cognition should be included in the analysis framework to examine the impact of aging, off-farm employment and social network on farmers’ cognition of soil and water conservation technology. Taking the technology cognition as a mediator variable, the paper verifies its mediating effect on the relationship of aging, off-farm employment and farmers’ adoption behavior of soil and water conservation technology.

The current extensive business ecosystem, characterized by technological advances and development, impressive customers, and increasing social concerns, has exerted great pressure on business organizations. Among different business values for affording this pressure, organizational agility is a critical factor that should be carefully incorporated in business processes. The main purpose of the present study is to investigate the role of social networking technology, as a crucial collaborative tool, on organizational agility.

A model based on structural equations was designed in this regard. The constructs of this model are quality of service, varieties of services, costs and speed of service as independent variables and also agility management as a dependent variable. Based on the conceptual model, a questionnaire was prepared and distributed among the experts of social networking technology and agility management. Based on Cochran's formula the sample size was 384. The response rate was 100%. The main statistical measures such as Chi-square ratio to the degree of freedom, Non-soft Fitness Index (RMSEA), Goodness of Fit Index (GFI) and Modified fitness index (AGFI) were employed for analyzing the model.

Results of obtained data indicated that a variety of services as the main factor of social networking technology has the most impact on the agility of a company. Then, the speed of service, service quality and costs were ranked respectively in second to fourth. Providing information technology (IT) service perceptions, promoting the service climate and thorough identification of IT requirements are the main critical success factors for maintaining a robust impact of social networking technology on organizational agility. Moreover, a well-designed enterprise structure alongside employing newly developed IT infrastructures such as cloud computing certainly improves the capabilities of organizations to improve their agility.

Although the literature suggests a positive impact among IT or social networks on organizational agility, it is deficient in relation to considering the impact of social networking. Furthermore, a structural equation model (SEM) is used for assessing unobservable latent constructs and their related interrelationship.

The purpose of this paper is to analyze the wind energy technologies using the social network analysis based on patent information. Analysis of patent documents with social network analysis is used to identify the most influential and connected technologies in the field of wind energy.

In the literature, patent data are often used to evaluate technologies. Patents related to wind energy technologies are obtained from the United States Patent and Trademark Office database and the relationships among sub-technologies based on Corporate Patent Classification (CPC) codes are analyzed in this study. The results of two-phase algorithm for mining high average-utility itemsets algorithm, which is one of the utility mining algorithm in data mining, is used to find associations among wind energy technologies for social network analysis.

The results of this study show that it is very important to focus on wind motors and technologies related to energy conversion or management systems reducing greenhouse gas emissions. The results of this study imply that Y02E, F03D and F05B CPC codes are the most influential CPC codes based on social network analysis.

Analysis of patent documents with social network analysis for technology evaluation is extremely limited in the literature. There is no research related to the analysis of patent documents with social network analysis, in particular CPC codes, for wind energy technology. This paper fills this gap in the literature. This study explores technologies related to wind energy technologies and identifies the most influential wind energy technologies in practice. This study also extracts useful information and knowledge to identify core corporate patent class (es) in the field of wind energy technology.

This paper aims to study low adoption of modern technology for pearl millet in Rajasthan, India, from the perspective of social networks. The state has the lowest adoption of modern pearl millet seeds among Indian states. . In particular, this paper tries to identify the limitations of channels with endogenous effects, thereby limiting large-scale adoption of modern varieties that would require social multipliers.

Defining the network/reference groups in terms of social identity and geographical proximity, this paper utilizes the intensity of interaction with different network nodes to identify the presence of endogenous effects. In particular, this paper uses the interaction of intensity of social exchange with the group level adoptions to establish the presence of endogenous effects. With adequate controls, greater intensity of interaction having a bearing on technology choice can only happen when there exists social learning (endogenous effect) and cannot be associated with other forms of social effects (namely, exogenous and correlated effects).

This paper finds evidence for the existence of endogenous social effects in adoption but largely from exclusionary channels. A comprehensively mapped network is used with its intensity to explain the extremely low rate of adoption. Only close-knit networks that, with social fragmentation, limit benefits to few, affect adoption significantly. The non-functionality of less exclusionary information sources and services can be a factor underlying low adoption.

The main limitation of the study is inability to control for unobserved individual heterogeneity because of the cross-sectional nature of data. Further, although an extensive mapping of individual networks has been done, it still cannot be guaranteed to be exhaustive.

With fragmentation, large-scale adoption programs would require networks, sources of information and services that are less exclusionary. Based on the survey data, media and non-religious organizations play a focal role here in the adoption of modern technology. This finding is extremely crucial for policy, as these channels comprise direct policy levers in a fragmented society like India. Indeed, several government programs in India have relied on these channels to run large-scale adoption programs. Their ineffectiveness could be a prime factor for such limited dissemination of technology in Rajasthan.

In different settings, social fragmentation could be an important factor determining technology adoption outcomes. The evolving consensus in the literature based on several studies is that ethnic fragmentation has potentially negative consequences on macro-economic performance (Alesina and Tabellini, 1989 and Collier, 2000). In the literature on technology adoption, the role of fractionalization is somewhat under-studied. With fragmentation, there can be significant micro-level impacts (for instance, low technology adoption of a crop) if channels that are inclusive are not well developed. The finding that channels like extension services, media or organizations are not effective in determining choice of technology does not mean that they should not be tapped. The empirical findings suggest that, in their current form in the state of Rajasthan, the roles played by these are limited. The policy implications would be to develop these systems in a way that there is a greater uptake. Recall that less than 4 per cent of the respondents got information on seeds from media sources, an extremely low number. There is certainly scope for increasing the outreach of these channels that are much more important for spread of agricultural technology in a fragmented society.

This paper is an attempt to come up with an empirical strategy to mitigate the issues related to reflection problem. In the cross-sectional data itself, we use the interaction of group choices with intensity of interaction within the group to introduce a non-linearity that tries to bypass the identification issues as in reflection problem. This method of introducing non-linearity in cross-sectional data is a novel attempt to achieve identification of endogenous effects.

The purpose of this study is to examine the impact of information technologies and technology-enabled social networks on the efficiency of knowledge management processes in the Middle Eastern audit and consulting companies.

Scientific literature analysis, structural equation modeling and expert evaluation (structured questionnaire) were used to develop the research model, collect data from the audit and consulting companies’ experts and test the research hypotheses.

The empirical results of this research supported the hypotheses stating that information technologies and social networks positively affect the knowledge management cycle, including five processes (acquisition, creation, storage, sharing and application) within the Middle Eastern audit and consulting companies.

The research results were generated from the Middle Eastern audit and consulting companies, which form a limitation concerning the geographical area and the business sector.

From the results of this study, audit and consulting companies, as well as organizations and society broadly, would benefit via the positive effect of information technologies and technology-enabled social networks on the whole knowledge management cycle, which has a further impact on organizational performance. These practical implications are related to a more open, sharing culture that drives organizational performance to the members and stakeholders of organizations, which, in turn, benefits society.

This research analyzes information technologies and technology-enabled social networks’ impact on knowledge management processes, particularly in the context of the Middle Eastern audit and consulting companies. While the phenomena have received some attention in the prior scientific research, the studied context so far remained under-researched, where a gap is found in studying the knowledge management cycle as a whole.

This paper aims to understand the contribution made by Facebook as a marketing tool for companies, and through empirical observation (interviews and questionnaires) and theoretical analysis (studies and academic literature on the subject), to analyse the reactions of individuals in social media (particularly in Facebook) and its confluence with the organizations. The overall aim is subdivided into three objectives covering more precisely the two poles of marketing communication (the consumers and the businesses), within the context of Facebook: to learn about the users’ vision on Facebook and their point of view on being a part of it; to understand the strategic vision of Facebook from those responsible for marketing and communication in companies; and to analyse the role of Facebook in marketing activities and interactive communication (users and companies).

The first part of this study is a theoretical study of the area and existing published research. The second part is a qualitative study. In this sense, the theoretical analysis in the field of social networks supports the propositions discussed in the empirical analysis, which is based on a random sample of individuals and representative companies. The analysed universe consists of a randomly unrepresentative group of consumers living in Portugal, particularly in the cities of Funchal (Madeira) and Lisbon, and company representatives established in Funchal (Madeira), to understand if the theoretical arguments are also verified in these regions regardless of their particular characteristics, especially the geographical and demographic.

Today the focus continues to be very connected to sales and promotions and to traditional communication channels when it should move to create interactions with meaning for the audience through content before focusing on sales. Organizations should consider the way they communicate with their target audience and consider social networks and mobile technologies as a new way of expanding the business, adapting to this new consumer not contemplated by the traditional marketing and communication media.

Furthermore, the existing literature quickly becomes obsolete without addressing the issue in depth, sometimes referring qualitative studies based on demographic and geographic variables and traditional models. Moreover, most of the authors are Anglo-Saxon and discuss realities away from the one studied here. Geographical location and time are also other important limitations, as in Portugal, the phenomenon is recent and both individual users and company representatives (who constituted the study sample) have little practical experience in the use of online technologies and social networks; probably the main setback is the limited period of the study, concentrating the analyses on the current interviewee experience instead of an evolutionary people's behaviour analyses concerning the use of social networks. Although the evolution of information technology is a catalyst for a more intense online social experience, it is important to understand how to live the virtual experience and how the communication between individuals and companies evolves (how to adapt to this new consumer audience), face the current short-term models based on offline actions, reactive strategic actions, misperception of users and lack of information on social network consumers’ life.

Organizations should consider the way they communicate with their target audience and consider social networks and mobile technologies as a new way of expanding the business, adapting to this new consumer not contemplated by the traditional marketing and communication media. The study presents a qualitative analysis of the behaviour, the reactions and the attitudes of individuals towards organizations, with the aim of understanding which are the social factors that contribute to sustainable competitive advantage to organizations and support strategies and future actions.

The social aspects are a part of the experience in the Facebook community and also of the shopping experience. So it is important to monitor these behaviours in Facebook or other networks to perceive users of social networks, and consequently define marketing and communications actions to transform fans into customers. Relevant factors come associated with tacit knowledge of the organization, particularly those related with learning and social interaction of the organization and organization knowledge about virtual communities. To a higher coexistence of these factors, the more difficult the replication is, and the higher the strengthening of the hypothesis of sustainability of competitive advantage.

Organizational survival increasingly depends on the socialization, sharing interests and activities with the audience linked to the incorporation of digital technologies in their activities, especially those related to social networks. Technology emerges as a support for the satisfaction of social connection, transforming communication between people and companies, making it much more dynamic and transparent. As we have seen, there are many positive factors associated with the participation in the social networks. Prominent among these are the interactivity, the detection of customer needs, the adjustment of supply, transmission of content without geographical boundaries and the ease of implementation of viral marketing campaigns.

Retail networks present new challenges in the business-to-business (B2B) collaboration between technology-based spinoffs and traditional businesses. This study aims to explore a public–private partnership (PPP) that leverages advanced digital technologies via spinoffs to tackle the key challenge of showrooming that retail shops are facing. Showrooming is the phenomenon in which shoppers go to the physical stores to gather in-depth product information, and later on, decide to buy the product from online retail competitors.

This research draws on a longitudinal qualitative study of a social context in which digital entrepreneurs are embedded. The empirical setting is a retail network in Italy, Germany and Finland with a particular focus on the process in which a PPP delivers innovation via spinoffs in the context of brick and mortar shops (B&M). The research design enables an understanding of the complexity of the phenomenon from a business and a social perspective.

New technology to tackle showrooming enables the creation of substantial hybrid value in retail partnerships. Spinoffs are key actors in leveraging digital technologies to create value faster and more tailored compared with large software companies. Spinoff entrepreneurs leverage on specific technologies (e.g. virtual reality and artificial intelligence) available inside organizations’ network (i.e. PPPs). Spinoffs are found to be a fundamental actor in the process of dealing with showrooming because of their time to market. Large software companies usually are not interested in approaching B&M shops because of the high operational costs of product customization for B&M shops.

Managers could use the success factors of the spinoffs in helping their B&M shops to improve both shopper experience and salesperson performance. For managers of B2B retail network, the results are useful towards increasing the involvement of shoppers while they are visiting physical stores, and it also improves salesperson performance. It also leads to the observation that cross-selling is one of the most effective responses to the phenomenon of showrooming. As practical implications for policymakers, the current research supports the view that PPPs should support the creation of spinoffs as a result of longitudinal innovation projects.

Retail technologies leveraged from a PPP and commercialized by spinoffs are powerful tools to enable a better quality of salespeople’s life in the working place. At the same time, these new technologies help shop owners increase the retention rates, conversion rates and reduce short-term loss, increasing the likelihood of B&M shops to survive in the condition of extreme competition caused by the showrooming phenomenon.

This research proposes a model of hybrid value creation from networks in digital retail. The model indicates that PPPs create spinoffs to explore showrooming and deliver substantial hybrid value (i.e. business and social) for physical retail shops, mainly because it influences the companies’ growth, employee performance and customer satisfaction. This model expands the field of B2B marketing by identifying factors that enable spinoff creation from retail networks and proposes success factors and research propositions in retail networks.

This study aims to gain a more holistic understanding of Chinese older adults' perceptions and use of social networking technology.

Grounded in the extended unified theory of acceptance and use of technology (UTAUT2) and expectation-confirmation (ECM) theory, the study proposed an integrated social media user engagement model and tested the model utilizing the data collected from 323 Chinese older adults.

The results reveal that half of the relationships in the proposed model were supported. Specifically, performance expectancy, facilitating conditions, social influence and hedonic motivation were all found to have a significant positive influence on perceived value. In addition, the results confirmed the positive impact of facilitating conditions on satisfaction. Both perceived value and satisfaction were also found to have a significant positive effect on Chinese older adults' intention to engage in social networking technology.

Chinese older adults are embracing Internet technologies at a greater rate; thus, understanding their perspectives of social networking technology offers valuable insights. This empirical study enhances understanding of the nature and strength of the relationships in the proposed integrated social media user engagement model in the context of Chinese older adults.

Technological innovations provide huge opportunities to expand and revolutionize the scope of products and services offered. This is particularly true for tourism, which is undergoing significant changes due to the development of new technologies. The level of technology diffusion depends on several factors like the exchange of information among peers, and the attitude and shared perception among the contributors. The aim of the study is to explore the diffusion of technology in tourism with a specific focus on the social media discourse around new technologies. Thus, the paper investigates the level of interest in these new technologies analysing the information exchange occurring between individuals on Twitter in order to explore the influence of reciprocal networking.

To capture the attitudes expressed in the industry, the study analyses the ongoing discourse on Twitter as a proxy for the participants “interest in new technologies. Through a social network analysis of the tweets and retweets conducted over a period of nine months, the research maps the level of information exchange about the diffusion of new technologies. Moreover, the sentiment analysis provides an interesting overview of the individuals” attitudes towards the awareness or the adoption of new technologies.

Our analysis has provided several insights: (1) the information network on blockchain in tourism consists of participants who change very quickly over time (high turnover of accounts); (2) some contributors have an extremely important role in influencing the flow of information in the system (information centralization), they can have a generalist (discussing several topics) or a specialist (focusing on a specific topic) behaviour and this strategic choice influences their network's structure; (3) these central nodes also have an impact on the definition of positive and negative sentiment towards a topic (sentiment influencer).

The paper contributes to the literature on technology diffusion, by focusing on one of the preconditions of diffusion that is the shared positive attitude towards technological innovation. More specifically, we adopt a network-based approach, which is useful to explain the level of information exchange and the public discourse that can impact the shared perception and attitude towards technological innovation. The study also highlights the role of knowledge brokers in influencing this public discourse. Future studies can deepen the association between positive perception, higher levels of information exchange and increasing usage of specific technologies. Our results also suggest further exploring the opportunity to combine social media data and other sources of information to shed more light on the technological innovation diffusion processes.

This paper shows how practitioners can benefit from the analysis of information exchange about new technologies in tourism adopting a network perspective with the aim of understanding the level of influence among contributors. Moreover, the increasing interest in blockchain technology and the potential combination between social media data and other sources of information can offer promising insights.

The present study explores the level of technology diffusion through the analysis of information exchange on social media (Twitter). Furthermore, the dynamics of individual user behaviour offers a better understanding about media effects.

While previous research is focused on the users' perception towards the development of new technologies in tourism, the aim of this study is to investigate the dynamics behind the level of diffusion of information and awareness about these new technologies, which still represents an unexplored area of research.