FDI Location and the Relevance of Spatial Linkages: Evidence from Provincial and Industry FDI in China

In this study both aggregate and industry‐level foreign direct investment (FDI) data are employed to investigate the spatial dependence of FDI hosts. The analysis contributes to the existing literature by focusing on the heterogeneous spatial correlation of FDI in different industries. Using more comprehensive FDI data across multiple industries and multiple provinces in China from 1999 to 2007, the results show a significant spatial correlation among provinces. Aggregate FDI tends to be regional trade platform oriented indicating neighboring provinces become competitors for FDI. In contrast, results based on industry‐level provincial FDI show stronger support for vertical or complex vertical FDI.     

Key institutions in business and management education research

The authors investigate institutional productivity in business and management education (BME) research based on the analysis of 4,464 articles published by 7,210 authors across 17 BME journals over a 10-year period, involving approximately 1,900 schools worldwide. Departing from traditional disciplinary silos, they examine the BME research field as a whole by including all traditional business disciplinary areas and producing two top 100 rankings, one based on raw number of author publications and the other based on weighted scores reflecting journal quality and coauthorship.     

Open data in Nepal: a webometric network analysis

This study examines the current open data trends in Nepal based on the webometric analysis method by using search engines to trawl through websites and obtain data. The results indicate that various national and international nonprofit organizations, public sector organizations, educational institutions , and a few commercial organizations were the initial actors fostering open data in Nepal. Therefore, these organizations were analyzed in terms of their networking patterns and the extent to which they are exposed internationally in cyberspace by using Webometric Analyst 2.0. Inter-linkage analysis, co-mention analysis, and link impact analyses were conducted to explore the networking behavior in the World Wide Web. The results revealed that international organizations (IOs) were strongly interlinked. Nongovernmental organizations (NGOs), government organizations (GOs), and IOs were interlinked, but weakly. In terms of the co-mention network analysis, IOs with IOs were more significant than NGOs with NGOs, GOs, or business organizations because IOs had been working actively for many years, their web presence was high, and they worked in other fields, including open data. A link impact analysis was also conducted using its indicators of seed sites linked to external websites in terms of the estimated number of top-level domains and country-code top-level domains.     

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.     

Information and Investor Behavior Surrounding Earnings Announcements

The goal of this paper is to analyze the impact of annual earnings announcements on the market through the order flow data in addition to the usual transaction data. In this respect, examining order flow data can potentially reveal valuable information that is not available from transaction data. In fact, the data allow us to test hypotheses about asymmetric information and investor behavior and to test if the behavior varies with investor sophistication. In addition, the paper tries to identify the determinants of the impact on a firm's value using assumptions about investor behavior.     

Identifying export opportunities for Greece

A decision support model (DSM) is presented and implemented in order to identify probable and realistic export opportunities for Greece. The aim of the model is to select those combinations of products and countries of destination (markets) that are attractive based on widely recognized criteria (such as country risk indicators, macroeconomic data, market shares, accessibility of destination country, degree of market concentration, etc.). The DSM consists of a filtering process during which the less attractive export opportunities are successively eliminated in order to focus on those markets that have the desired characteristics. International trade data at the HS six-digit level up to 2011 where used. The results indicate that there exist significant export opportunities for Greece. Export opportunities are listed and categorized according to criteria such as the market characteristics of the destination country and Greece’s market share.     

Corruption: what are the effects on government effectiveness? Empirical evidence considering developed and developing countries

This study analyses the impact of corruption on government effectiveness for a sample of 130 countries. The findings suggest that less-corrupt countries have better quality of public service, better quality in the formulation and adoption of policies and greater credibility and government's commitment to such policies. The findings also suggest that the effect of corruption on government effectiveness is higher in developed countries. Moreover, the estimates also reveal that countries with the most indebted governments and with higher inflation rates have less-efficient governments, and an increase in rule of law represents a good strategy to improve government effectiveness. In turn, regarding developing countries, the findings show that countries with more democratic regimes have a higher degree of government effectiveness.     

Assessment of the impact of human capital on economic growth

This paper presents updated figures on the dynamics of human capital in the Russian economy. Time series of human capital are obtained for major types of economic activity that cover up to 85–90% of the total human capital in the Russian economy for 1992–2012. An analysis of the impact of accumulated human capital on economic dynamics is performed by means of the production function model. An original approach to assessing the production function based on the method of principal components is introduced.