Expert oriented approach for analyzing the blockchain adoption barriers in humanitarian supply chain

In digital era, blockchain technology has been known as the operational innovation that is rapidly joining the context of humanitarian supply chain and relief logistic. Hence, it has the potential to change the humanitarian context fundamentally, but there is still relatively little-published research aimed at improving the understanding of the different barriers of the blockchain adoption in humanitarian supply chain. The goal of this research is to present a comprehensive review of blockchain adoption barriers in the context of humanitarian supply chain management. An integrated approach using Fuzzy Delphi and Best-Worst method (BWM) has been used for analyzing the barriers. Based on the literature, 14 barriers of the blockchain adoption in humanitarian supply chain were identified. According to the Fuzzy Delphi result, 9 barriers were accepted. After that, the BWM calculated the importance of each barrier. The findings showed that regulatory uncertainty, lack of knowledge/employee training and high sustainability costs are the important barriers. This research provides useful guidelines for policy makers so that they can benefit from the results to optimize their solutions.     

Investigating the adoption of MOOCs: A technology–user–environment perspective

In spite of the potentials promised by MOOCs (massive open online courses), the adoption rate of MOOCs is still low, especially in developing countries. Research on the adoption of MOOCs in developing countries is also limited. To fill this research gap, this research aims to study the adoption of MOOCs by extending current research on innovation and technology adoption in order to promote the diffusion of MOOCs in developing countries. Here, a conceptual framework, technology–user–environment was proposed to identify influential drivers and barriers of MOOC adoption. Eight hundred and twenty‐seven individuals in a developing country, were invited to participate in a questionnaire survey. Data were analysed by hierarchical regression, and the results show that for the (a) technological characteristics, perceived usefulness has the most significant influence, followed by lack of accessibility and performance‐to‐cost value; for the (b)user factors, self‐regulation was the most significant predictor of MOOC adoption, and female learners showed higher willingness to adopt MOOCs; and for the (c) social environmental factors, tradition and social norms and lack of information about MOOCs were negatively associated with adoption of MOOCs. Implications and suggestions are discussed at the end of this paper.     

Effects of entrepreneurship and IT fashion on SMEs’ transformation toward cloud service through mediation of trust

This study draws from strategic choice theory, management fashion theory, and trust research to investigate organizational transformation toward cloud service. Considering organizations’ substantive rationality, this study proposes that SMEs’ entrepreneurial orientation and the institutional pressures received from the marketplace provide motives for their cloud transformation intention. These influences are mediated by a complex trust-building process. A survey involving 107 Chinese SMEs was conducted to validate our research model. The results illustrate that SMEs’ trust building toward the cloud-related situation and artifact plays a critical role in mediating the effects of strategic orientation and institutional pressures on their cloud transformation.     

A generalized model for smartphone adoption and use in an Arab context: A cross-country comparison

The main aim of this research is to propose a conceptual model that explains the factors that can predict behavioral intention to use smartphones and the actual use of smartphones by young Arab consumers in three Arab countries: Iraq, Jordan, and the United Arab Emirates (U.A.E.). The findings indicate that the proposed extended model fits well in the three countries. The research provides information that can help policymakers and mobile companies.     

A dual-risk model of user adoption of mobile-based smoking cessation support services

This study proposes and validates a dual-risk model of the drivers and inhibitors of the adoption of a mobile e-health application for smoking cessation. This model extends existing approaches for risk taking by accounting for two opposite types of risk: the risk of using the mobile service and risks of not using it, both of which are argued to be instrumental to user decision to use healthcare support technologies. The proposed model was estimated with data collected from 422 smokers and mobile phone users in the UK and Canada. The findings suggest that adoption decisions regarding such a mobile service are driven by intrinsic and extrinsic motivations which channel the effects of the above-mentioned risk assessments on use intentions. This implies that to increase the success of mobile phone use in smoking cessation programmes, perceptions regarding both risks could be targeted.     

A model of e-commerce adoption (MOCA): consumer's perceptions and behaviours

The paper analyses factors that usually influence the adoption of online commerce, focusing in particular on how social influence acts in this process considering in particular an Italian sample. It investigates about the actual transaction behaviour, and not just the intention to shop online. Starting from analysing technology acceptance models of literature, the paper proposes and empirically validates a new model for e-commerce adoption. A self-administered survey approach was used to collect data from a sample of different ages, genders and educational levels by using a structured questionnaire. Empirical data were analysed using correlation and regression analysis. Results showed that social influence, usability and perceived usefulness are predictors of the frequency of use and then, of e-commerce adoption. The paper gives both a theoretical and an empirical contribution to the e-commerce literature by designing and testing a model for predicting online consumers’ behaviour and enhancing the e-commerce adoption understanding.     

E-commerce use in urbanising China: the role of normative social influence

In the past 30 years, China has undergone unprecedented urbanisation: the country's urban population surpassed that of rural areas for the first time in 2011. Despite its soaring popularity, the urban–rural divide in e-commerce use has been persistent and striking. How to promote e-commerce use among the new urbanites to ensure its sustainable development and reduce the digital divide in China's rapid urbanisation context? Drawing on the diffusion of innovations theory and the Theory of Planned Behaviour, using data from a survey of a representative sample of China's urban population (N?=?1288), this study investigates the various effects of normative social influence on online shopping application and intention among urban residents, rural-to-urban migrants, and in-situ urbanised rural residents. Normative social influence is found to be significantly associated with actual online shopping application, particularly among in-situ urbanised rural residents. The research suggests that the new urbanities in China can benefit from e-commerce use if strategies focusing on expanding and strengthening normative social influence are promoted. Policies that intend to address the urban–rural digital divide in information and communication technology adoption should also consider approaching the issue by utilising the normative social influence.     

The influence of individual espoused cultural values on self-directed use of technology for language learning beyond the classroom

Students' use of technology for learning beyond the classroom is critical to maximizing the educational potential of technology, and understanding factors that affect learners' adoption of technology is critical. This study examined the influence of individual espoused cultural values on learners' voluntary technology adoption in informal learning contexts. Structural equation modeling was used to test a model of the direct and moderating effects of espoused cultural values on learners' self-directed use of technology for learning beyond the classroom, based on the survey responses of 661 foreign language learners from three countries/regions. The study found strong direct effects but weak moderating effects of cultural values. It further found that long-term orientation and uncertainty avoidance were two individual-level cultural value orientations that played important roles in the voluntary adoption of technology for self-directed learning beyond the classroom.     

Social Comparison,Goal Contagion,and Adoption of Innovative Information Technology

When adopting a new, innovative information technology (IT), most institutions tend to lack knowledge about it initially. However, they often adopt new ITs despite their illiteracy. This behavior is difficult to explain using rational IT adoption theories. Focusing on the organizational decision-making process behind adoption of innovative IT, we examine the strategy by which some companies compensate for their lack of knowledge: collection of information from other companies that have successfully adopted IT previously. We develop a new IT adoption model for which goal contagion theory and social comparison theory are combined to interpret the circumstances under which organizations tend to adopt new, innovative IT despite limited knowledge about it. Big data, cloud services, and smart mobile systems are considered as examples of innovative IT in the empirical study.     

Why doesn’t every family practice rainwater harvesting? Factors that affect the decision to adopt rainwater harvesting as a household water security strategy in central Uganda

ABSTRACT

This article investigates the reasons householders do, and don’t, adopt domestic rainwater harvesting (DRWH). Using a mixed-methods research approach, we collected data in three districts in central Uganda. Factors that emerged as important with respect to uptake of DWRH to address water shortage, especially at the household scale, include the work of intermediary organizations, finance mechanisms, life course dynamics and land tenure.