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The purposes of this study are to identify, classify and prioritize knowledge management (KM) barriers in an Iranian project-based organization (PBO) and to present a conceptual framework for improving attitudes to KM in the Iranian context.

After studying previous literature on the topic, initial barriers of KM in PBOs were extracted. Then, a list of barriers of KM in the aforementioned organizations was finalized by interviewing experts in KM. After that, the barriers were prioritized using a questionnaire. Finally, a conceptual framework for successfully tackling KM barriers was presented.

In this article, barriers of KM in PBOs have been divided into five categories: individual, organizational, technological, contextual, and inter-project. Then a three-layered conceptual framework has been presented which describes how the barriers of KM in PBOs may be removed progressively.

The prepared and prioritized list of barriers of KM in PBOs is a stepping stone and a guideline for managers in PBOs which will enable them to identify barriers of KM in their own organizations and resolve them and improve KM in their organizations. It also serves as a useful base for researchers to expand further research concerning barriers of KM in PBOs.

This article is probably the first article which has identified barriers of KM via interviews and questionnaires carried out in 50 active PBOs which had a KM section. The article also presents a three-layered framework for lowering barriers of KM, which can be applied step by step after considering the level of importance of each one identified.

Investigating the import of pharmaceutical products, as one of the essential goods of the country to improve health and medical conditions, is important in accelerating the economic growth and enhancing the welfare of the community. This paper aims to estimate the income and price elasticity of pharmaceutical import demand in Iran.

In this research, the function of Iran's pharmaceutical import demand was estimated and calculated using the co-integration method and error correction techniques with the seasonal data of 2005–2016 to identify factors related to import, as well as relevant price, and income elasticity.

The research results showed that the price elasticity of Iran's long-term pharmaceutical import demand was 0.04; that is, the rate of pharmaceutical import demanded by Iran was not sensitive to change in relative price. Additionally, the long-term income elasticity of Iran's pharmaceutical demand was 0.69, meaning that an increase in Iran's income did not have a highly positive impact on the volume of Iran's pharmaceutical import.

Estimating the function of the demand for pharmaceutical import may pave the way to adopt appropriate economic policies. Furthermore, estimating this function and calculating income and price elasticity is a step toward minimizing government expenditures and can be a great contribution in designing trade policies.

Online ride-hailing platforms match drivers with passengers by receiving ride requests from passengers and forwarding them to the nearest driver. In this context, the low acceptance rate of offers by drivers leads to friction in the process of driver and passenger matching. What policies by the platform may increase the acceptance rate and by how much? What factors influence drivers' decisions to accept or reject offers and how much? Are drivers more likely to turn down a ride offer because they know that by rejecting it, they can quickly receive another offer, or do they reject offers due to the availability of outside options? This paper aims to answer such questions using a novel dataset from Tapsi, a ride-hailing platform located in Iran.

The authors specify a structural discrete dynamic programming model to evaluate how drivers decide whether to accept or reject a ride offer. Using this model, the authors quantitatively measure the effect of different policies that increase the acceptance rate. In this model, drivers compare the value of each ride offer with the value of outside options and the value of waiting for better offers before making a decision. The authors use the simulated method of moments (SMM) method to match the dynamic model with the data from Tapsi and estimate the model's parameters.

The authors find that the low driver acceptance rate is mainly due to the availability of a variety of outside options. Therefore, even hiding information from or imposing fines on drivers who reject ride offers cannot motivate drivers to accept more offers and does not affect drivers' welfare by a large amount. The results show that by hiding the information, the average acceptance rate increases by about 1.81 percentage point; while, it is 4.5 percentage points if there were no outside options. Moreover, results show that the imposition of a 10-min delay penalty increases acceptance rate by only 0.07 percentage points.

To answer the questions of the paper, the authors use a novel and new dataset from a ride-hailing company, Tapsi, located in a Middle East country, Iran and specify a structural discrete dynamic programming model to evaluate how drivers decide whether to accept or reject a ride offer. Using this model, the authors quantitatively measure the effect of different policies that could potentially increase the acceptance rate.

Tourism industry is a profitable resource for countries and considered one of the main sources of income and job creation for economic development. Among the various types of tourism, medical tourism and its subsets are of great significance owing to their capabilities and competitive advantages. In this regard, the purpose of this research is to provide a framework to categorize customers based on the Zeithaml pyramid and then identify and provide strategies to create loyalty and attract customers of this industry.

This study proposed a framework for medical tourists' satisfaction and loyalty. First, by studying the literature and data gathering from Yazd (one of the cities of Iran), the effective factors on the loyalty and attraction of medical tourists were identified. These factors have been prioritized for the medical tourists who are in the platinum category by the Pareto technique and Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) method. Next, the strategies provided by experts for loyalty and attraction of medical tourists were examined. Finally, the house of quality (HOQ) as the first matrix in quality functional deployment (QFD) was used to provide operational strategies for medical tourism satisfaction. The statistical population of this research consists of medical tourists, academic experts and active physicians of medical tourism in Yazd, one of the cities of Iran.

The study results indicate the importance of “hospital reputation” in medical tourists' satisfaction. Also, “achieving international standards”, “periodic customer satisfaction assessment” and “paying attention to social responsibilities” are recognized as the most important strategies to achieve the loyalty of the most profitable group of customers, namely platinum.

This study covers both theoretical and practical aspects. Theoretically, this study developed a new framework for medical tourists' satisfaction by the Zeithaml matrix, TOPSIS, Pareto technique and QFD method. Furthermore, practically this study helps practitioners of medical tourism in medical tourists' satisfaction and loyalty.

In this study, in addition to identifying the effective factors on the loyalty and attracting medical tourists, a new framework was developed for medical tourists' satisfaction by segmentation the tourism by the Zeithaml matrix and providing operational strategies by the QFD technique.

The purpose of this paper is to study variation regularization with a positive sequence extraction-normalized least mean square (VRP-NLMS) algorithm for frequency estimation in a three-phase electrical distribution system. A simulation test is provided to validate the performance and convergence rate of the proposed estimation algorithm.

Least mean square (LMS) algorithms for frequency estimation encounter problems when voltage contains unbalance, sags and harmonic distortion. The convergence rate of the LMS algorithm is sensitive to the adjustment of the step-size parameter used in the update equation. This paper proposes VRP-NLMS algorithm for frequency estimation in a power system. Regularization parameter is variable in the NLMS algorithm to adjust step-size parameter. Delayed signal cancellation (DSC) operator suppresses harmonics and negative sequence component of the voltage vector in a two-phase Î ± β plane. The DSC part is placed in front of the NLMS algorithm as a pre-filter and a positive sequence of the grid voltage is extracted.

By adapting of the step-size parameter, speed and accuracy of the LMS algorithm are improved. The DSC operator is augmented to the NLMS algorithm for more improvement of the performance of this adaptive filter. Simulation results validate that the proposed VRP-NLMS algorithm has a less misalignment of performance with more convergence rate.

This paper is a theoretical support to simulated system performance.

Presents over sixty abstracts summarising the 1999 Employment Research Unit annual conference held at the University of Cardiff. Explores the multiple impacts of globalization on work and employment in contemporary organizations. Covers the human resource management implications of organizational responses to globalization. Examines the theoretical, methodological, empirical and comparative issues pertaining to competitiveness and the management of human resources, the impact of organisational strategies and international production on the workplace, the organization of labour markets, human resource development, cultural change in organisations, trade union responses, and trans‐national corporations. Cites many case studies showing how globalization has brought a lot of opportunities together with much change both to the employee and the employer. Considers the threats to existing cultures, structures and systems.

Increased dietary salt content is one of the effective factors of hypertension and a major public health challenge globally. Although the positive effects of dietary salt reduction on health are universally accepted, people can hardly reduce their salt intake. The purpose of this study is to identify the inhibitory factors of dietary salt reduction among 20–65-year-old women in Yazd City, Iran.

This study was conducted using a deductive content analysis approach based on the communication for the behavioral impact (COMBI) framework. The purposeful sampling method was applied with maximum variation in terms of different educational levels, age groups, occupational status and residential areas to select the participants. Snowball sampling was used to select health-care professionals. Furthermore, semi-structured interviews and focus-group discussions were conducted with 31 local women and 11 health-care professionals working in the City until data saturation was achieved. Data were analyzed using Graneheim and Landsman’s method.

After data analysis, 617 initial codes were extracted over the perceived barriers. After merging similar codes, 223 codes were extracted. The barriers were classified into five main categories of family, personal, organizational, educational and socio-cultural barriers.

Based on the COMBI framework, the results demonstrated that the most important barriers for reducing salt intake were negative attitude toward restrictions on dietary salt intake, insufficient and incorrect beliefs about the health risk of salt, lack of family support, inadequate health literacy and low self-efficacy in Yazd City. Among these barriers, lack of family support was considered as the most effective factor in reducing salt consumption. So, by focusing on this area and providing the community with the required education, the amount of salt consumed by families can be reduced.

The main purpose of this paper is to propose a quasi-impedance source (QIS) converter fed switched reluctance motor (SRM) drive. The proposed converter topology is configured for DC link capacitance minimization and power factor (PF) correction.

A QIS converter is used as a front end converter to reduce the bulk capacitance requirement during current commutation and to decline the power ripple. To improve the PF with reduced total harmonic distortion at the input current, the PF current control loop is merged with the QIS converter control loop.

The overall SRM drive speed is regulated over a wide range by controlling the DC link voltage. The voltage regulation can be achieved by pulse width modulation of the QIS converter. Hence, the overall system efficiency has been improved by operating the proposed converter at a low switching frequency. Moreover, the proposed QIS converter uses an advanced repetitive controller to achieve voltage regulation and fewer ripples in torque.

The steady state and dynamic analyzes have been performed on the proposed drive topology. The performance of the proposed topology has been simulated through MATLAB/Simulink environment. A hardware prototype with a processor of Xilinx SPARTAN 6 field-programmable gate array has been used to validate the experimental response with the simulation results.

This paper aims to investigate an improved control method and digital signal processor-based (DSP-based) digital implementation of three-phase standalone inverter. The proposed method is performance developed of the proportional-resonant controller (PRC) with harmonic injection technique, aiming to improve load voltages quality under different loads, especially nonlinear loads. The advanced proposed multi-loop controller is consisted of current harmonic loops for suppressing odd harmonic, which are analyzed in discrete-time domain. Besides, the voltage loop is also used to compensate the output capacitor voltage.

The proposed method can effectively enlarge output voltage stability with low total harmonics distortion and improve the dynamic transient response. The other advantage of the proposed PRC is the injection of the selective harmonic without any additional calculation compensator.

The method is given the opportunity to be controlled exactly all harmful outputs with high-quality voltage referenced of the standalone inverter. The proposed method is implemented using a DSP processor (TMS320F28335) and is verified on the 10 kVA three-phase standalone inverter prototype.

The proposed method is performance developed of the PRC with harmonic injection technique, aiming to improve load voltages quality under different loads, especially nonlinear loads.

This paper aims to propose a novel integrated control method (ICM) for high-power-density non-inverting interleaved buck-boost DC-DC converter. To achieve high power conversion by conventional single phase DC-DC converter, inductor value must be increased. This converter is not suitable for industrial and high-power applications as large inductor value will increase the inductor current ripple. Thus, two-phase non-inverting interleaved buck-boost DC-DC converter is proposed.

The proposed ICM approach is based on the theory of integrated dynamic modeling of continuous conduction mode (CCM), discontinuous conduction mode and synchronizing parallel operation mode. In addition, it involves the output voltage controller with inner current loop (inductor current controller) to make a fair balancing between two stages. To ensure fast transient performance, proposed digital ICM is implemented based on a TMS320F28335 digital signal microprocessor.

The results verify the effectiveness of the proposed ICM algorithm to achieve high voltage regulating (under 0.01 per cent), very low inductor current ripple (for boost is 1.96 per cent, for buck is 1.1) and fair input current balance between two stages (unbalancing current less than 0.5A).

The proposed new ICM design procedure is developed satisfactorily to ensure fast transient response even under high load variation and the solving R right-half-plane HP zeros of the CCM. In addition, the proposed method can equally divide the input current of stages and stable different parallel operation modes with large input voltage variations.