Dynamics of industry architecture and firms’ knowledge and capability development: an empirical study of industry transformation

There is a lack of empirical evidence supporting existing conceptualisations and particularly clarifying the underlying mechanisms involved in the role of dominant firms in industry transformation. This research undertook an in-depth single case study of how a firm managed its knowledge and capability development processes to shape the industry architecture to its benefit. We investigated how a dominant firm manipulates the interdependencies with local suppliers and positions itself at higher levels of the industry architecture hierarchy. Findings suggest that such processes take place over the course of several product innovation projects and across different levels of the product architecture. Such findings contribute to helping firms to manage their knowledge and capability development processes and transform the industry architecture to their advantage.     

Developing a model to evaluate the impacts of science,technology and innovation foresight on policy-making

Technology foresight as a policy intelligence tool can offer vital inputs for policy-making in various domains. The relationship between foresight and policy-making has been presented in the literature by the policy-related functions of foresight, but the literature reflects a theoretical gap with the systematic evaluation model for the impact of foresight on policy-making. This research seeks to bridge the existing gap and uses the mixed method for this purpose. The mixed method approach used in this paper is the sequential exploratory design. First, the conceptual model is developed in the qualitative part of this research by using meta-synthesis and constant comparative method (CCM) of analysis. Second, in the quantitative part, quantitative tests are used to evaluate the dimensions and components of the developed theoretical model. The data collection tool is a questionnaire. The results confirm the proposed dimensions of the evaluation model.     

On the advantages of economically designed variable sample sizes and sampling intervals T2 control chart: double warning lines scheme

Faraz and Parsian (Stat Pap 47:569–593, 2006) have shown that the double warning lines (DWL) scheme detects process shifts more quickly than the other variable ratio sampling schemes such as variable sample sizes (VSS), variable sampling intervals (VSI) and variable sample sizes and sampling intervals (VSSVSI). In this paper, the DWL T² control chart for monitoring the process mean vector is economically designed. The cost model proposed by Costa and Rahim (J Appl Stat 28:875–885, 2001) is used here and is minimized through a genetic algorithm (GA) approach. Then the effects of the model parameters on the chart parameters and resulting operating loss is studied and finally a comparison between all possible variable ratio sampling (VRS) schemes are made to choose the best option economically.     

Financial development,corporate governance and cost of equity capital

Existing research suggests that external governance is more relevant than internal governance in affecting a firm’s value. We contribute to the literature by explicitly examining the interactive role played by country-level financial development and legal institutions in influencing the impact of firm-level governance on the cost of equity capital. Using a comprehensive sample of 7380 firm years drawn from 22 developed countries, we show that firm-level corporate governance attributes affect the cost of equity capital primarily in the Common Law countries with high levels of financial development. Our study is the first to highlight the complementary effects of legal origin, financial development and firm-level governance attributes in influencing the cost of equity capital.     

Political institutions and government spending behavior: theory and evidence from Iran

This study examines how the quality of political institutions affects the distribution of the government budget in Iran. We first introduce a mechanism through which democracy can shift government expenditure from national defense (military) to productivity-enhancing public spending (e.g., education). Using impulse response functions and a variance decomposition analysis on the basis of a vector autoregressive (VAR) model, our results imply that the response of military spending to an improvement (a deterioration) of democratic institutions is negative (positive) and statistically significant, whereas that of education spending is positive (negative) and significant. Our results are robust to other indicators of political institutions, different orderings of variables in the VAR, and alternative specifications of government spending categories.     

Uncertainty avoidance,risk tolerance and corporate takeover decisions

In this paper, we examine the role of national culture in corporate takeover decisions, by arguing that managerial risk tolerance (a combination of risk aversion and risk perception), at the national level, is a cultural trait and affects the expected net synergies CEOs require. We propose a theoretical framework that links CEO risk tolerance to the expected net synergies. We empirically show that CEOs of firms located in countries with lower levels of risk tolerance, measured by Hofstede’s (1980, 2001) uncertainty avoidance score, require higher premiums on takeovers, and show that uncertainty avoidance plays a greater role in relatively large takeovers. Additional testing reveals that CEOs from high uncertainty avoiding nations engage less in cross-border/cross-industry takeovers, suggesting that uncertainty avoidance captures more the CEO’s risk perception than his/her risk aversion.     

Asymmetric information and price competition in small business lending

This paper examines the relationship between bank lending rates and their cost of funds in New Zealand. Our results show that on average mortgage rates respond more quickly to changes in the cost of funds than base business lending rates. We also find an asymmetry in the initial (short-run) response of banks to changes in funding costs; in particular, our results show banks adjust mortgage rates downwards faster than upwards. The speed to which lending rates revert back to their equilibrium relationship with funding costs varies across the lending markets. We find the adjustment speed is faster when mortgage rates are below equilibrium, whereas it is slower when business lending rates are above long-run levels in relation to funding costs. Our analysis suggests that banks prefer the plain-vanilla type of lending such as mortgages in comparison to small business lending consistent with asymmetric information associated with business loans.     

Market Quality around Macroeconomic News Announcements: Evidence from the US and Canadian Markets

We investigate changes in market quality in the US and Canada during macroeconomic news announcements. We measure market quality in terms of returns dependence, the cost of trading, and pricing errors. Using a sample of cross‐listed stocks and macroeconomic news from both countries, we document that market quality is generally higher in the US than in Canada. The pattern of intraday serial dependence in returns reveals that it takes investors about 5 min less to react to order imbalances in the US than in Canada. We further observe that, around announcement periods, transaction costs increase more in Canada than in the US, suggesting that the US market offers better liquidity. More information is also incorporated into the US market. These results support the view that the US is a prime target for cross‐listing, and are robust to different types of assets and time specifications.     

Multi-level inventory management decisions with transportation cost consideration

In this article we address specific inventory management decisions with transportation cost consideration in a multi-level environment consisting of a supplier–warehouse–retailers. We develop two models – namely, decentralized ordering model and centralized ordering model to investigate the effect of collective ordering by retailers on the total inventory cost of the system. A numerical study shows that the proposed model is robust and generates reasonable cost savings. The models have potential in several multi-level applications such as fresh or frozen food delivery to stores of different supermarkets or the supply of medicine to a number of hospitals from a wholesaler.