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A number of studies have explored the benefits (e.g. enhanced job performance and reduced strain), of being politically skilled. Within the framework of uncertainty management theory, the purpose of this paper is to explore the benefits of high political skill to affective commitment, job satisfaction, and perceived job mobility, under conditions of distrust in management.

Sales representatives were surveyed and moderated multiple regression analyses were conducted to analyze the data.

The authors found that as distrust increased, affective commitment decreased for all persons, but was most pronounced for persons low on political skill. However, distrust in management had no impact on job satisfaction for those high on political skill, allowing persons high on political skill to enjoy their jobs despite high levels of distrust (an intrapsychic benefit of political skill). Finally, as distrust in management increased, persons high on political skill had increased perceived job mobility.

This study is cross-sectional, limiting conclusions about causality in the relationships studied and leaving open the possibility of reverse causation.

This research has important implications, such that, under conditions of distrust, persons low on political skill are less committed, more dissatisfied, and feel a sense of job immobility, which could lead to poor work outcomes, such as decreased job performance.

The study is the first to examine how being politically skilled benefits employee outcomes when the employee distrusts management.

Notes that as we move towards an information‐based society, information technologies will play a key role in establishing and maintaining economic competitiveness and that while the systems development life cycle approach has brought some order to the software development process, information engineering brings additional structure to the process. Points out that re‐engineering techniques are used to align every area of the enterprise: people, strategy, technology and business processes. Describes software re‐engineering activities and processes with a special emphasis on developing and maintaining quality systems.

A project manager’s (PM) emotional intelligence (EI) is essential for project performance (PP). However, the cause and effect and the potential moderators of the relationship between EI and PP remain disputed. Some scholars found a positive association between PMs’ EI and project outcomes, while some other studies showed non or negative relation. This paper aims to find the relationship between PMs’ EI and PP and the factors that influence this relationship based on diverse prior research.

This paper conducts a meta-analysis of 5,229 observations based on 24 independent studies from 1990 to 2021.

Results show that PMs’ EI has a significant positive influence on PP, and the project complexity and measurement of PP are two critical moderators explaining inconsistencies in existing research.

The current study proposes suggestions for construction companies on PMs’ selection and training. This study also offers suggestions for PMs in management practice.

To the best of the authors’ knowledge, this study is the first to explore the inconsistencies in prior research results on the relationship between PMs’ EI and PP at the meta-analytic level. This research extends the current literature by revealing the factors leading to existing consistencies that are not explored before. This study implies that the meta-analysis method could help reach a balanced conclusion based on inconsistent results.

The purpose of this study is to theoretically clarify under which circumstances MNCs should outsource the innovation function. In the globalization era, multinational companies (MNCs) face the challenge of making a strategic decision. They ought to adjudicate upon outsourcing the research and development, i.e. innovation function and bearing the risks of it, or keeping innovation function in house and paying the price of this decision. This decision becomes more crucial when the host country has dissimilar characteristic and high uncertainty compared to the home country.

This study is among the very first studies that evaluate the issue of outsourcing innovation for MNCs from a transaction cost economics (TCE) theoretical perspective. By setting forward propositions that serve as a guideline for conditions in which MNCs should outsource innovation, this paper contributes to innovation, new product development, global business and, last but not least, to the TCE literature. This study also provides managerial implications and avenues of future research for academicians.

This study shows that heterogeneity between the home and host country affects the autonomy of the innovation at the host country; this autonomy in turn leads to higher transaction cost, and finally, transaction cost is the main determinant of the decision on whether to outsource the innovation.

This study fills this gap by looking at the problem of outsourcing innovation from a TCE theoretical perspective and, based on an extensive literature review, puts forward a set of propositions that clarify under which circumstances MNCs should outsource the innovation function.

The aim of this research is to examine if building information modelling (BIM) is feasible as an information management platform to determine a financially and environmentally affordable housing refurbishment solution based on the life cycle cost (LCC) and LCC calculation.

A case study in conjunction with BIM simulation approach using BIM tools (Autodesk Revit and IES VE/IMPACT) was adopted to identify the feasibility of BIM for the simultaneous formulation of LCC and life cycle assessment in housing refurbishment.

This research reveals that BIM is a suitable for the information management platform to enable construction professionals to consider trade-off relationship between LCC and life cycle assessment simultaneously, and determine the most financially and environmentally affordable refurbishment solution. The interoperability issues in data exchange among different BIM tools and unstandardized BIM object libraries with incomplete data sets of construction materials are recognised as the major shortcomings in a BIM system. Essential remedial actions to overcome the shortcomings in the current BIM tools are identified.

Actual housing information and various refurbishment materials for the BIM simulation are limited.

This research contributes to supporting construction professionals to prepare practical BIM adoption for the integration of the LCC and life cycle assessment that can significantly improve early decision-makings on sustainable housing refurbishment.

This research will contribute to providing proper remedial actions to overcome the shortcomings in the current BIM tools, and insights for construction professionals to understand the implication of BIM-embedded housing refurbishment.

The purpose of the study is to examine the dynamics in the troika of asset pricing, volatility, and the business cycle in the US and Japan.

The study uses a six-factor asset pricing model to derive the realized volatility measure for the GARCH-type models.

The comprehensive empirical investigation led to the following conclusion. First, the results infer that the market portfolio and human capital are the primary discounting factors in asset return predictability during various phases of the subprime crisis phenomenon for the US and Japan. Second, the empirical estimates neither show any significant impact of past conditional volatility on the current conditional volatility nor any significant effect of subprime crisis episodes on the current conditional volatility in the US and Japan. Third, there is no asymmetric volatility effect during the subprime crisis phenomenon in the US and Japan except the asymmetric volatility effect during the post-subprime crisis period in the US and full period in Japan. Fourth, the volatility persistence is relatively higher during the subprime crisis period in the US, whereas during the subprime crisis transition period in Japan than the rest of the phases of the subprime crisis phenomenon.

The study argues that the empirical investigations that employed the autoregressive method to derive the realized volatility measure for the parameter estimation of GARCH-type models may result in incurring spurious estimates. Further, the empirical results of the study show that using the six-factor asset pricing model in an intertemporal framework to derive the realized volatility measure yields better estimation results while estimating the parameters of GARCH-type models.