Adoption and rejection : re-appraising the Soviet influence on townscape formation in Indochina

The Soviet socialist form of urban development was implanted in countries that came under the Soviet Union's influence in the Cold War period, including Vietnam,. Laos and post-Pol Pot Cambodia. These environmental impacts were not only out of tune with traditional cultural patterns when first built, but also now add to the hurdles of urban readjstment facing these countries as they struggle to prepare themselves for reintegratioin into the twenty-first century world.

Illegal immigration, technology adoption and welfare

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.

Social capital framework in the adoption of e-learning

This is a study of the influence of social and cultural factors on the adoption of e-­learning in higher education in Malaysia, Indonesia, Turkey, Singapore and Australia. Particular attention in each case was given to factors relating to social capital, attitudes and patterns of behavior in leadership, entrepreneurialism, and teaching and to broader sets of attitudes that shape general outlook. A case study approach was chosen in order to enable a richer and more finely grained analysis of the issues. The case studies are based on semi-­structured interviews and observations conducted over several years. This research shows that previously known factors that affect the adoption of e-­learning in higher education, namely, policy, guidelines, paradigm shifts and pedagogical change, are also significant in the contexts of each of the case studies in this research. However, this research shows that the adoption and uptake of e-­learning technologies is also strongly shaped by cultural and social factors but not in ways that might first have been expected. It is not so much that there are specific cultural and social factors relating to specific e-­learning technologies, but rather, that the degree of uptake of these technologies depends on teachers being encouraged, guided and assisted to innovate and adopt new technology. This can only occur when there is sufficient social capital, mediated through appropriate social networks, to build trust, overcome objections and anxieties, and generally motivate staff to engage in challenging, time-­consuming initiatives in e-­learning that generally do not promise immediate rewards.

Certain culture-­based issues emerged as important. These included staff mentoring, clustering through ‘bamboo networking’, trust-­building and overcoming fear of ‘losing face’ (kiasu), facilitating women to take the initiative and lead, developing sensitivity to cultural differences, encouraging entrepreneurialism and rewarding pioneering endeavours, all of which were present in varying degrees across all five case studies. There were subtle variations on a central theme, which was clearly that of the impact of social capital as a driver. It was social capital played out through personal relationships and social networks that most strongly influenced individual teachers to be sufficiently motivated to add to an already busy schedule by taking on the additional burdens of pioneering e-­learning technology and it was those social relationships that provided guidance and ongoing encouragement. As a consequence of these findings, this study offers a social capital model of e-­learning adoption, which suggests that the adoption and uptake of e-­learning technologies is strongly shaped by cultural and social factors.

An empirical study of the influence of different organisation cultures on e-commerce adoption maturity

Drawing on Cameron and Quinn’s organisational cultures typology that defines four types of organisational culture (i.e., clan, adhocracy, market, and hierarchy), and Daniel et al.’s four-stage model of e-commerce adoption, this paper empirically examines the influence of different organisational cultures on e-commerce adoption maturity in small and medium-sized enterprises (SMEs) in Sri Lanka. The result indicates a positive correlation between adhocracy culture and e-commerce adoption. However, those firms with hierarchy cultural characteristics indicate a negative correlation in relation to e-commerce adoption. The organisational culture differences explain these issues.

The challenges of cloud computing technology adoption in e-government

 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.

Investigating factors influencing the adoption of AIS: Libyan accountants’ perspective

A conceptual model of the adoption of the accounting information systems (AIS) by accountants in developing countries, using Libya as a case study, was developed. The model comprises technological, environmental and individual factors that have been found to have significant influences on the accountants’ behavioural intentions towards the adoption of the AIS.

A multilevel social network perspective on IT adoption

Adoption of technologies has long been a key area of research in the information systems (IS) discipline, and researchers have thus been interested in the attributes, beliefs, intentions, and behaviors of individuals and organisations that could explain information and communication technology (ICT) adoption. The focal unit of adoption has mainly been individuals and organisations, however, research at group or social network level as well as the inter-organizational level have recently gained increased interest from IS researchers. This recent focus supports the view of the world as being the sum of all relations. Various social network theories exist that seek to emphasize different proficiencies of social networks and explain theoretical mechanisms for behavior in social networks. The core idea of these theories is that social networks are valuable, and the relations among actors affect the behavior of individuals, groups, organizations, industries, and societies. IS researchers have also found that social network theory can help explain technology adoption. Some researchers, in addition, acknowledge that most adoption situations involve phenomena occuring at multiple levels, yet most technology adoption research applies a single level of analysis. Multilevel research can address the levels of theory, measurement, and analysis required to fully examining research questions. This paper therfore adapts the Coleman diagram into the Multi-level Framework of Technology. Adoption in order to explain how social network theory, at the individual and social network level, can help explain adoption of ICT. As Coleman (1990) attempts to create a link between the micro and macro level in a holistic manner, his approach is applicable in explaining ICT adoption

Early adoption of mobile devices : a social network perspective

As mobile devices have become the personal information-processing interface of choice, many individuals seem to swiftly follow fashion. Yet, the literature is silent on how early adopters of mobile devices overcome uncertainties related to shifts in technology. Based on purposive sampling, this paper presents detailed insights into why and how five closely related individuals made the decision to adopt the iPhone before it was available through traditional supply chains. Focusing on the role played by social networks, we analyze how adoption threshold, opinion leaders, social contagion, and social learning shaped adoption behaviors and outcomes. The analyses confirm that network structures impact the early decision to accept the iPhone; they show that when facing uncertainty, adoption decisions emerged as a combined result of individual adoption reflections and major influences from the social network as well as behaviors observed within the network, and, they reveal interesting behaviors that differed from expectations. In conclusion, we discuss implications for both theory and practice.

Early adoption of mobile devices : a social network perspective

As mobile devices have become the personal information-processing interface of choice, many individuals seem to swiftly follow fashion. Yet, the literature is silent on how early adopters of mobile devices overcome uncertainties related to shifts in technology. Based on purposive sampling, this paper presents detailed insights into why and how five closely related individuals made the decision to adopt the iPhone before it was available through traditional supply chains. Focusing on the role played by social networks, we analyze how adoption threshold, opinion leaders, social contagion, and social learning shaped adoption behaviors and outcomes. The analyses confirm that network structures impacted the early decision to accept the iPhone; they show that when facing uncertainty, adoption decisions emerged as a combined result of individual adoption reflections and major influences from the social network as well as behaviors observed within the network; and, they reveal interesting behaviors that differed from expectations. In conclusion, we discuss implications for both theory and practice.