Building relationship innovation in global collaborative partnerships: big data analytics and traditional organizational powers

This study examines how relationship innovation can be developed in global collaborative partnerships (alliances, joint ventures, mergers, and acquisitions). The recently emerging theory of big data analytics linked with traditional organizational powers has attracted a growing interest, but surprisingly little research has been devoted to this important and complex topic. Therefore, after developing the theoretical foundations, our study empirically quantifies the links between the theoretical constructs based on the data collected from chief executive officers, managing directors, and heads of departments who work in contemporary global data‐and‐information driven collaborative partnerships. The results from structural equation modeling indicate that the relationship innovation depends on the power of big data analytics and non‐mediated powers (NMP, expert and referent). The power of big data analytics also mediates the correlation between NMP and relationship innovation. However, mediated powers (coercive and manipulative) negatively affect the power of big data analytics and relationship innovation. The interaction effects further depict that analytically powered partnerships have better relationship innovation compared with those which focus less on the analytical power. Consequently, the contributions of this study provide a deeper understanding of mechanisms of how modern collaborative partnerships can use big data analytics and traditional organizational powers to co‐create relationship innovation.     

How justified is abandoning money in the conduct of monetary policy in Australia on the grounds of instability in the money‐demand function?

The role of money in the design and conduct of monetary policy has reemerged as an important issue in both advanced and developing economies, especially since the 2007 global financial crisis. A growing body of recent literature suggests that the causal relationship between money supply growth and inflation remains intact across countries and over time and that this relation is not conditional on the stability of the money‐demand function or whether money is endogenous or exogenous. Moreover, critical for a rule‐based monetary policy is the presence of a long‐run stable money‐demand function, rather than a short‐run money‐demand model that may exhibit instability for many reasons, including problems with estimating a money‐demand model with high‐frequency data. Provided that a stable money‐demand function exists, it could be useful to establish long‐run equilibrium relations among money, output, prices, and exchange rates, as the classical monetary theory suggests. Within this analytical framework, this paper addresses the question of whether money has any role in the conduct of monetary policy in Australia. The conventional wisdom is that the money‐demand function in Australia has been unstable since the mid‐1980s due to financial deregulation and reforms; this led to a change in the strategy of monetary policy for price stability in the form of inflation targeting that ignores money insofar as inflation and its control are concerned. This paper reports empirical findings for Australia, obtained from a longer quarterly data series over the period 1960Q1–2015Q1, which suggest that instability in the narrow‐money‐demand function in Australia was primarily due to the exclusion of variables which have become important in the deregulated environment since the 1980s. These findings are confirmed by an expanded form of the narrow‐money‐demand function that was found stable over the past two decades, although it experienced multiple structural breaks over the study period. The paper draws the conclusion that abandoning the monetary aggregate as an instrument of monetary policy in Australia, under a rule‐based monetary policy such as inflation targeting, cannot be justified by instability in the money‐demand function or even by lack of a causal link between money supply growth and inflation.     

Accident risk analysis based on motorway exposure: an application of benchmarking technique for human safety

Abstract

Accident risk analysis for human safety and infrastructural improvement are key requirements of the engineering sector. The purpose of this paper is to identify and prioritize problematic segments of roads based upon the risk evaluation concept and to focus on the severity of accidents regarding human life loss and easy manoeuvring. This study includes the concept of considering road segments as decision-making units for application of data envelopment analysis (DEA) technique which has no compulsion of the distribution function and critical assumptions, unlike the multiple regression models. According to the proposed methodology, a section of Motorway (M-2) Lahore-Islamabad has been analyzed. Out of 200 segments under consideration, 99 segments were selected with at least one accident and one injury or fatality. Furthermore, for risk calculation and ranking of road segments, the DEA technique along with the cross-risk matrix method was applied. This optimization technique could not only be helpful in ranking but also technical decision-making and prioritizations for safety improvement, policymaking and budget allocation.     

Epidemiological patterns of suicide terrorism in the civilian Pakistani population

In this study, we assessed the epidemiological patterns of suicide terrorism in the civilian population of Pakistan. Information about suicide terrorism-related events, deaths and injuries was extracted from the South-Asian Terrorism Portal (SATP) for the period from 2002 to October 2009. Of 198 events, civilians were involved in 194 events. Civilians accounted for 74.1% (N?=?2017) of those who died and 93.8% (N?=?6129) of those who were injured. In nine districts, mortality rates were more than one death per 100,000 inhabitants per year. The yearly trend showed a shift of attack targets from foreigners and sectarian targets in 2002-2005 to security forces or general public in 2006-2009. Attacks on public installations (mosques) or political gatherings resulted in a significantly greater (P?≤?0.02) number of deaths (22 vs. 8) and injuries (59 vs. 24) per event compared with security installations. These results show that prevention might focus on political negotiation with armed groups and that appropriate measures should be taken to protect mosques and political gatherings.     

Reprint of: Stock salience and the asymmetric market effect of consumer sentiment news

We document asymmetric announcement effects of consumer sentiment news on United States stock and stock futures markets. While a negative market effect occurs upon the release of bad sentiment news, there is no market reaction for the counterpart good news. This supports the “negativity effect” hypothesis. Notably, this effect seems most likely to occur in salient stocks, which is consistent with the availability heuristic.     

Organizational differences in managerial compensation and benefits in Chinese firms

More than two decades of economic reforms have brought profound changes in human resource management practices in both the state and non-state sectors in China. This study focuses on the impact of organizational factors on compensation and benefits for Chinese managers in state-owned enterprises (SOEs), publicly listed firms (PLFs), and foreign-invested enterprises (FIEs). The empirical investigation of 465 firms located in three major Chinese cities, Shanghai, Nanjing and Guangzhou, provides evidence that organizational factors, such as ownership, firm size, firm age, location and industrial sector, have significant impacts on the variances in Chinese managers' compensation levels, compensation structures and benefits. The trends in the development of compensation and benefits for Chinese managers are also discussed as the Chinese economy moves closer to a more globalized, highly dynamic economy after China's accession to the World Trade Organization in 2001.     

TD-LTE抢占无线全新商机

如今,为了努力满足用户对移动数据日益增长的需求,大部分运营商的网络和频段都在满负荷运行。据相关数据显示,2010年用户每月使用的数据流量已经超过了5GB。由于数据增长的关键驱动因素——smartphone的普及率在全球仍低于20%,运营商预计用户每月使用的数据流量仍将继续增长。因此,如何充分利用自身的频谱资源、开发包括TD-LTE在内的不同技术选择的潜力,就成为运营商极为关注的重要课题。     

Modelling of narrow money demand in Australia: an ARDL cointegration approach, 1970–2009

Using annual data for the period 1970?C2009, this paper deploys the ARDL cointegration approach to determine whether there exists an economically meaningful, stable narrow money demand relationship in Australia. The statistical results suggest the presence of a long-run equilibrium relationship between real narrow money balances, real income, a representative domestic interest rate (e.g., the yield on Australian government short-term bonds) and the nominal effective exchange rate of the Australian dollar. The statistical tests suggest no significant instability in the narrow money demand relationship despite financial deregulation and innovation in Australia since the early 1980s. In contrast, the paper reports statistical results which suggest no meaningful, stable broad money demand relationship in Australia over the sample period.     

Impact of the global financial crisis on Islamic and conventional stocks and bonds

This study explores the impact of the global financial crisis (GFC) on Islamic and conventional stock and bond indices in 11 Islamic and eight non‐Islamic countries. We find that there are benefits of Islamic stocks during the GFC, particularly during the early stage of the crisis because Islamic institutions are prohibited from holding sub‐prime mortgage securities and derivatives. The strongest benefits of Islamic stocks are in the UK and USA. We conclude that there are benefits of risk reduction and stability for Islamic stocks during a financial crisis, although not necessarily during a global recession.