UK World War I and interwar data for business cycle and growth analysis

This article contributes new time series for studying the UK economy during World War I and the interwar period. The time series are per capita hours worked and average capital income, labor income, and consumption tax rates. Uninterrupted time series of these variables are provided for an annual sample that runs from 1913 to 1938. We highlight the usefulness of these time series with several empirical applications. The per capita hours worked data are used in a growth accounting exercise to measure the contributions of capital, labor, and productivity to output growth. The average tax rates are employed in a Bayesian model averaging experiment to reevaluate the Benjamin and Kochin (J Political Econ 87:441–478, 1979) regression.     

Consumer adoption of Internet banking in Jordan: Examining the role of hedonic motivation,habit, self-efficacy and trust

Despite the rapid growth of Internet banking (IB), customers in developing countries still hesitate to adopt this technology and its use in the Middle East remains low. This study aims to identify and examine the factors that predict behavioural intention and adoption of IB in Jordan. Four factors – hedonic motivation, habit, self-efficacy and trust – are proposed in a conceptual model. Data was collected by means of a survey with bank customers in Jordan. Structural equation modelling (SEM) was used to analyse the data. The results strongly supported the conceptual model. Further, hedonic motivation, habit, self-efficacy and trust were all confirmed to have a significant influence on behavioural intention. Trust was found to be strongly predicted by both hedonic motivation and self-efficacy. This study provides both academics and practitioners with an insight into the factors that can be used to encourage customer adoption of IB specifically in a Middle East context.     

Social Identity Development and the Situation of Scientists and Engineers as New Leaders

The current study examined the retrospective experience of scientists and engineers as they became new unit leaders in science and engineering firms. The goal of the study was to propose a theory that would lead to a better understanding of how scientists and engineers can be successful in their evolution into new leaders. The evolution was considered in the context of Robledo, Peterson, and Mumford's (2012) 3‐Vectors Model to appreciate the situation in which new leaders in scientific and engineering firms find themselves. The evolution was then considered in the perspective of Social Identity Theory to understand the relational development of the scientist or engineer as a new leader. The theory that emerged was that without a sound understanding of both the situation and adaptation of a new sociotechnical identity, achieving success in the leadership role is, at best, uncertain. Identity development and situational understanding are both necessary to facilitate and expedite the transition of scientists and engineers into the new leadership role. The transition from staff‐level scientist to leader can be made more productive through individual and organizational action espoused herein. The implications reveal many aspects of importance for organizations, individuals, researchers, and educators in Science, Technology, Engineering, and Math (STEM) and similar technical disciplines.