How Information Technology Assimilation Promotes Exploratory and Exploitative Innovation in the Small‐ and Medium‐Sized Firm Context: The Role of Contextual Ambidexterity and Knowledge Base

This research sheds new light on how information technology (IT) assimilation affects exploratory and exploitative innovation in the context of small‐ and medium‐sized firms (SMEs). This contextualization is important in establishing the boundary conditions for the theory, as well as generating specific managerial insights for SME managers. A sample of 248 U.K.‐based SMEs in the manufacturing industry demonstrates contextual ambidexterity (CA) mediates the relationship between IT assimilation and two types of innovation. This finding highlights that IT assimilation does not automatically promote innovation. Instead, IT assimilation represents a critical resource that enables the effective implementation of CA, which in turn affects innovation. This implies that SMEs cannot fully realize the potential of their IT assimilation and use it to enable innovation without implementing CA. Furthermore, this study differentiates between two different dimensions of knowledge base: knowledge breadth and knowledge depth. This study finds that knowledge breadth moderates the indirect IT assimilation–exploratory innovation relationship by influencing the effect of CA on exploratory innovation. Knowledge depth, on the other hand, moderates the indirect IT assimilation–exploitative innovation relationship by influencing the effect of CA on exploitative innovation. This finding implies that SMEs can benefit from their IT assimilation that enables them to engage in CA, which in turn allows them to perform innovation. However, it is apparent that the dimension of knowledge that SMEs hold internally can determine what types of innovation that they are able to perform.     

The Doctrine of the Mean: Workplace Relationships and Turnover Intention

The present study examines the curvilinear relationships between LMX/TMX and team members' turnover intention simultaneously. That is, members with high LMX, TMX, or both are more likely to have turnover intention. Hypotheses were tested with a sample of 452 nurses, and we adopted the response surface methodology and polynomial regression to test our theoretical model. The hierarchical regression analysis showed that TMX has a U‐shaped relationship with turnover intention but not with LMX. In addition, the results indicate that both the congruence and incongruence of LMX and TMX result in higher turnover intention, but moderate levels of LMX and TMX have the lowest turnover intention. Strengths, limitations, practical implications, and directions for future research are discussed. Copyright © 2018 ASAC. Published by John Wiley & Sons, Ltd.     

The major determinants of logistic performance in a global perspective: evidence from panel data analysis

The global logistics industry has grown significantly and logistics has become an important sector of the business economic system and a major global economic activity in recent years. Logistics activities accelerate economic and productivity growth. Efficient logistics is also important to a country’s competitiveness and source of employment. The purpose of this paper is to uncover and understand the major determinants of logistics performance (LP) to further lift the LP of countries. Using unbalanced panel data of 93 selected countries from 2007 to 2014, the present research attempts to critically investigate the major determinants of LP. In estimating the model, this study prefers to use static panel data approach owing to limited data. The findings of the present study reveal that (a) countries with low level of corruption and stable political environment are likely to yield a high level of LP; (b) improvement in resources supply such as infrastructure, technology, labour, and education also have a significant positive effect on LP. Therefore, institutional reforms and upgrading resources will effectively accelerate LP.     

Potential Growth of the US Economy: Will the Productivity Resurgence Continue?

This paper analyzes the sources of U.S. productivity growth through 2004 and presents medium-term projections for the U.S. economy. We attribute a substantial portion of productivity gains over the past decade to production and use of information technology equipment and software. In the most recent years, we also identify a growing contribution from sources outside the technology- producing sectors. Our base-case projection for the GDP growth rate is almost exactly three percent. We emphasize the substantial range of uncertainty by presenting an optimistic projection of 3.5 percent and a pessimistic projection of only 1.9 percent. JEL Classification D240,E230     

Hierarchical Bayesian conjoint models incorporating measurement uncertainty

The authors explore situations where consumers supplement their judgments with a measurement of uncertainty about their own preferences, either implicitly or explicitly, and develop two sets of hierarchical Bayesian conjoint models incorporating such measurements. The first set of models uses the relative location of a rating to determine the importance or weight given to the rating, in a regression setting. The second set uses interval judgment as a dependent variable in a regression setting. After specifying the models, the authors perform a theoretical comparison with a basic Bayesian regression model. They show that, under different conditions, the proposed models will yield more precise individual-level partworth estimates. Two simulated data examples and data from a conjoint study are used to illustrate the gains that could be obtained from modeling uncertainty. In the empirical application, the authors show that model fit improves when ratings for items that respondents do not like are given more weight compared to ratings for items that they do like. Electronic Supplementary Material  The online version of this article (doi:) contains supplementary material, which is available to authorized users.

Strategies for Improving Codes of Ethics Implementation in Construction Organizations

It is necessary to reconsider the assumptions upon which the process of implementing compliance with ethical programs rests, in both theoretical and practical terms. These assumptions should hinge on organizational enablers that allow embeddedness of codes of ethics in the web of an organization's processes. This article sets out to describe an approach that will facilitate implementation of codes of ethics in construction organizations and a comprehensive literature survey approach is adopted to achieve this. The paper equally employs the application of the European Foundation for Quality Management (EFQM) model as a tool to stimulate ethical behavior in an organization, with the focus on the enabler criterion of the model. The authors discuss organizational enablers in relation to the implementation of ethical codes. The study demonstrates how ethics can be managed in an organization by proposing a framework to enhance codes of ethics embeddedness in the web of an organization. The paper indicates current research gaps and future opportunities for both academics and practitioners.     

Longevity Risk Management in Singapore's National Pension System

Although annuities are a theoretically appealing way to manage longevity risk, in the real world relatively few consumers purchase them at retirement. To counteract the possibility of retirees outliving their assets, Singapore's Central Provident Fund, a national defined contribution pension scheme, has recently mandated annuitization of workers’ retirement assets. More significantly, the government has entered the insurance market as a public‐sector provider for such annuities. This article evaluates the money's worth of life annuities and discusses the impact of the government mandate and its role as an annuity provider on the insurance market.     

Product pricing and solvency capital requirements for long-term care insurance

This paper presents a comprehensive assessment of premiums, reserves and solvency capital requirements (SCRs) for long-term care (LTC) insurance policies using Activities of Daily Living and US data. We compare stand-alone policies, whole life insurance policies with LTC benefit riders (LTC insurance combined with whole life insurance), life care annuities (LTC insurance combined with annuities) and shared LTC insurance in terms of net premium cost and SCRs. Net premiums and best-estimate reserves for base LTC insurance policies are determined using Thiele’s differential equation. Product features such as the elimination period and the maximum benefit period are compared using a simulation-based model. We show how a maximum benefit period can reduce costs and risks for LTC insurance products. SCRs for longevity risk and disability risk are based on the Solvency II standard formula. We quantify the extent to which whole life insurance policies with LTC benefit riders and life care annuities provide lower SCRs than stand-alone LTC insurance policies.     

Impacts of derivative markets on spot market volatility and their persistence

In this article, we investigate the impacts of futures and options markets on the volatility of the underlying market. Unlike earlier studies, the focus is on their persistence over time. Tests on the Hang Seng index yield several interesting results that often contrast with previous findings. Empirical results suggest that the quality of new information generated by derivative trading determines the impacts on the spot market volatility. The futures market provides new, material information reducing spot market volatility. The Options market, on the other hand, generates noisy information and distorts price, which is followed by an increase in volatility and a decrease in its sensitivity to price change. While the impact of futures persists, that of options mostly disappears as the market matures. Our conjecture is that the futures market is mainly driven by informed, experienced participants, while the options market attracts new, inexperienced investors.     

Covered interest arbitrage profits: The role of liquidity and credit risk

We study the profitability of Covered Interest Parity (CIP) arbitrage violations and their relationship with market liquidity and credit risk using a novel and unique dataset of tick-by-tick firm quotes for all financial instruments involved in the arbitrage strategy. The empirical analysis shows that positive CIP arbitrage deviations include a compensation for liquidity and credit risk. Once these risk premia are taken into account, small arbitrage profits only accrue to traders who are able to negotiate low trading costs. The results are robust to stale pricing and the nonsynchronous trading occurring in the markets involved in the arbitrage strategy.