Organizational memory formation and its use in construction

As knowledge becomes a source of competitive advantage, knowledge-management activities have become critical for success. Construction firms can effectively use their organizational memory to enhance their decision-making abilities. A framework was constructed to model the organizational memory formation process in construction companies. Based on this model, an interview study was conducted to investigate both the organizational memory formation and the role of organizational memory in strategic decision-making within the construction industry. Eight Turkish contractors were assessed. The results suggest that construction companies make use of several knowledge sources and mechanisms to acquire knowledge. Although construction companies are successful at the collection and storage of knowledge, they are weak in the exploitation of organizational memory, especially at the strategic decision-making stage. In addition, they cannot increase their organizational learning competence due to some company- and industry-specific barriers.     

Strategic Perspective of Turkish Construction Companies

Whether extensively planned or not, all companies have a strategic perspective which is analogous to the personality of an individual. However, a clear strategic perspective is a must to achieve strategic integration that further leads to competitive advantage. In order to define a strategic perspective, four determinants should be put together: objectives, strategies; competencies; and competitive rules. There are two way linkages among objectives, strategies, and competencies that are affected from competitive forces acting on the market and these interrelations change with respect to company characteristics like size, age, major client, etc. The objective of this paper is to propose a conceptual framework for the analysis of a strategic perspective and present results of a questionnaire carried out to explore the strategic perspectives of Turkish contractors. Objectives, strategies, and competencies of Turkish contractors are analyzed together with competitive rules prevailing in the Turkish construction industry. The determinants of strategic perspective can further be used as a guide for setting a strategic agenda for construction companies with different characteristics and operating in different submarkets.     

Neural Network Model to Support International Market Entry Decisions

Bidding for international construction projects is a critical decision for companies that aim to position themselves in the global construction market. Determination of attractive projects and markets where the competitive advantage of a company is high requires extensive environmental scanning, forecasting, and learning from the experience of competitors in international markets. In this paper, a neuronet model has been developed as a decision support tool that can classify international projects with respect to attractiveness and competitiveness based on the experiences of Turkish contractors in overseas markets. The model can be used to guide decision makers on which type of data should be collected during international business development and further help them to prepare priority lists during strategic planning. Information derived from the model demonstrates that the most important factors that increase attractiveness of an international project are availability of funds, market volume, economic prosperity, contract type, and country risk rating. Similarly, level of competition, attitude of host government, existence of strict quality requirements, country risk rating, and cultural/religious similarities are the most important factors that affect competitiveness of Turkish contractors in international markets.     

Assessment of the levels of chlorinated pesticides in breast milk in Kuwait

Breast milk samples, randomly collected from 32 Kuwaiti donors were analysed for chlorinated pesticides. DDE residues ranged from 127 to 3333 micrograms/kg, averaging, 833 micrograms/kg, expressed on a fat weight basis. DDT levels ranged from 0.6 to 67 micrograms/kg fat and averaged 12.4 micrograms/kg, fat. High DDE/DDT ratios were found, which indicated that the exposure to DDT, in most cases, happened quite some time ago. In addition many of the samples also contained isomers of HCH, heptachlor-epoxide, aldrin, dieldrin and endrin. Residue levels of non-DDT pesticides were generally low. Overall levels of DDT-pesticides in Kuwaiti milk samples were lower than levels reported from other Middle Eastern countries, although methodologies may not be directly comparable.     

Enhanced hydrogen generation by water electrolysis employing carbon nano-structure composites

The present study describes the hydrogen generation through electrolysis by using graphene-carbon nanotube (GC) nano-composite electrode. Synthesis of GC nano-composites of various compositions utilizing solution admixing approach has been done. Structural, morphological, microstructural and analysis of quality of various carbon nano-composites have been investigated by using XRD, SEM, TEM, Raman and FTIR techniques. To determine the electrochemical catalytic performance of GC composites, these have been used as working electrode (anode) for electrolysis of water in an alkaline medium (1 M NaOH). The results reveal that the GC73 (70 wt% graphene and 30 wt% CNT) nano-composite is an optimum anode material for hydrogen production. The highest hydrogen production rate of 487 l/h-m² has been observed for the composite GC 73. Based on Tafel plot and FTIR characterizations, a feasible mechanism for this high hydrogen yield has been put forward.     

Thin film thermocouples for in situ membrane electrode assembly temperature measurements in a polybenzimidazole-based high temperature proton exchange membrane unit cell

This paper presents Type-T thin film thermocouples (TFTCs) fabricated on Kapton (polyimide) substrate for measuring the internal temperature of PBI (polybenzimidazole)-based high temperature proton exchange membrane fuel cell (HT-PEMFC). Magnetron sputtering technique was employed to deposit a 2 μm thick layer of TFTCs on 75 μm thick Kapton foil. The Kapton foil was treated with in situ argon plasma etching to improve the adhesion between TFTCs and the Kapton substrate. The TFTCs were covered with a 7 μm liquid Kapton layer using spin coating technique to protect them from environmental degradation. This Kapton foil with deposited TFTCs was used as sealing inside a PBI (polybenzimidazole)-based single cell test rig, which enabled measurements of in situ temperature variations of the working fuel cell MEA. The performance of the TFTCs was promising with minimal interference to the operation of the fuel cell.     

On the use of various shell theories in the analysis of axisymmetrically loaded circular containers

In shell literature there are several theories concerning the behavior of thin shells and a few regarding the behavior of thick and moderately thick shells. This paper is an attempt to bridge the gap that exists in the practicing engineer's mind as to when the validity of the theory of thin shells ceases and when that of thick shells begins. The problem of an axisymmetrically loaded container in the form of a cylindrical shell is analyzed, using both thick and thin shell theories for various values of and a recommendation is made regarding the bifurcation point between thin and thick shell theories.     

High-order,direct sensitivity analysis of multidimensional air quality models

A direct sensitivity analysis technique is extended to calculate higher-order sensitivity coefficients in three-dimensional air quality models. The time evolution of sensitivity coefficients of different order is followed alongside that of the concentrations. Calculation of higher-order sensitivity coefficients requires few modifications to the original (first-order) sensitivity modules and is carried out efficiently and with minimal computational overhead. The modeling results (first-, second-, and third-order sensitivity coefficients) for an ozone episode in central California are shown and discussed. Second-order sensitivity coefficients of ozone concentration with respect to domain-wide NO emissions show reasonable agreement with brute-force results and exhibit less noisy behavior. By using second-order sensitivity coefficients the nonlinear responses are better captured and described. For a Taylor series projection from the base case, including the second-order term improves the accuracy. In general, higher-order sensitivity analysis shows a noticeable improvement in terms of accuracy over the conventional first-order analysis. Of particular interest, second-order sensitivity analysis is better equipped to address the nonlinear behavior around the peak ozone in NO(x)-rich plumes.     

Quantiative Methodology for Determination of Cost Contingency in International Projects

This paper presents a quantitative methodology to determine financial impacts of the risk factors during the bidding stages of international construction projects. Project and country data of 26 construction projects from 21 countries were collected for evaluation of the international risk factors. The factors impacting cost contingency were identified using correlation and regression analysis techniques. The results indicated that four factors had major contributions for explaining the variations in the contingency levels. A regression model including the significant factors was developed to support bidding contingency decisions. The methodology presented provides a robust and practical statistical approach for determination of contingency by focusing on important risk factors. Details regarding model development and validation are presented along with a discussion on study limitations.     

Deactivation of Cu2O(100) by CO Poisoning

We have performed kinetic Monte Carlo (KMC) simulations of 13 reaction processes for CO oxidation on the O-terminated Cu₂O(100) surface to calculate the conversion rate of CO to CO₂. We find that CO adsorption at O vacancy sites prevents dissociative adsorption of O₂ onto the Cu₂O(100) surface and accordingly CO oxidation of the Cu₂O(100) surface is poisoned by CO. As a result, we could obtain a 100 % conversion rate only for a brief period of time.