Search results
1 – 10 of 11Kjell Jansson, Harald Lang, Dan Mattsson and Reza Mortazavi
Ali Hajary, Seyed Ghodratollah Seifossadat, Reza Kianinezhad, Alireza Saffarian and Seyed Saeedollah Mortazavi
This paper aims to present a novel robust control method based on an adaptive PI controller (APIC) to compensate for different disturbances and unknown dynamics for multi-phase…
Abstract
Purpose
This paper aims to present a novel robust control method based on an adaptive PI controller (APIC) to compensate for different disturbances and unknown dynamics for multi-phase induction machines.
Design/methodology/approach
The gains of the APIC are adapted online according to the tracking error. Proposed APIC is accompanied with designed linear disturbance observer (LDO) to present robust behavior to machine parameter variations and fault disturbances.
Findings
The results show remarkable dynamic performance in both healthy and faulty conditions when the six-phase induction machine works under APIC and LDO schemes.
Originality/value
The proposed controller need not readjust current controllers for the post-fault condition. The developed Simulink model efficiency is confirmed through experimental tests.
Details
Keywords
Reza Salehzadeh, Javad Khazaei Pool, Reihaneh Alsadat Tabaeeian, Mojtaba Amani and Marjan Mortazavi
The purpose of this paper is to investigate the effects of internal marketing and market orientation on organizational performance based on the balanced scorecard (BSC).
Abstract
Purpose
The purpose of this paper is to investigate the effects of internal marketing and market orientation on organizational performance based on the balanced scorecard (BSC).
Design/methodology/approach
A cross-sectional research design, drawing upon a questionnaire survey, was used to collect data from a sample of restaurants. Structural equation modeling was performed to test the relationship among the research variables using findings from the 164 participants.
Findings
The results revealed that internal marketing positively influenced market orientation and performance. In addition, market orientation was a direct antecedent of performance.
Originality/value
The findings provide important academic, practical and political implications for restaurant industry.
Details
Keywords
Gholamreza Dehdasht, M. Salim Ferwati, Saeed Reza Mohandes, Luai El-Sabek and David John Edwards
Proper identification of the key motivating factors (or key drivers) is needed to ensure successful adaption and implementation of the lean concept for construction projects…
Abstract
Purpose
Proper identification of the key motivating factors (or key drivers) is needed to ensure successful adaption and implementation of the lean concept for construction projects. However, there lacks a study investigating the complex interrelationships existing among the key drivers contributing to Sustainable and Successful Lean Construction (SSLC) implementation for such projects. To address this shortcoming, this study aims to uncover the main critical key drivers towards the implementation of SSLC for the very first time by capturing the complexity of this vexing problem.
Design/methodology/approach
In this study, a new hybrid framework is developed through the integration of Decision-Making Trial and Evaluation Laboratory (DEMATEL) and Social Network Analysis (SNA). The novel developed framework is called the DSNA approach.
Findings
Considering the case of Malaysian construction projects, the developed DSNA gives the following major outcomes: (1) Most important critical key drivers are seen to be optimization, continuous improvement, and, improve company culture, and (2) For SSLC adoption, the critical drivers impacting other key drivers are seen to be “improve teamwork”, “reduce leadership conflict”, and “improve company culture”, thereby demanding more attention.
Practical implications
The outcomes of this study give insight for decisions and policymakers in the construction industry regarding critical key drivers and their complex interrelationships towards the further adoption of SSLC, promoting the sustainability paradigm within the respective sector.
Originality/value
This paper not only presents a list of critical drivers and the corresponding association among them towards SSLC adoption, but also proposes DSNA as a novel approach for uncovering the complex interrelationship existing in an intricate problem, improving the intricate process of decision-making.
Details
Keywords
Mohammad Ali Torabandeh, Behrouz Dorri, Masood Rabieh and Ali Reza Motameni
This study aims to design a national innovation capability appraisal model. This would indicate Iran’s competitiveness situation among regional countries and suggest factors…
Abstract
Purpose
This study aims to design a national innovation capability appraisal model. This would indicate Iran’s competitiveness situation among regional countries and suggest factors influencing Iran’s performance promotion.
Design/methodology/approach
The methodology included four sections: bibliometric analysis to discover intellectual evolution of innovation capability and related concepts; construction of a multi-division structure of national innovation capability according to the clusters extracted from bibliometric results, and experts’ opinions; creating dynamic network data envelope analysis (DEA) according to designed structure, and analysis of Iran’s performance among regional countries; identification and prioritization of the factors extracted from experts’ opinions that improve Iran’s performance in created network using Fuzzy decision-making trial and evaluation laboratory method.
Findings
The contemporary bibliometric analysis by its extracted clusters proved the necessity of a multi-division for measuring national innovation capability performance that each division and indicators of each step were designed according to clusters concepts. In designed structure, dynamic network DEA results revealed the weakness of Iran’s performance in the third division in the transformation of patents and high-tech imports to high-tech and creative exports, which led to proposing improving factors by getting experts’ opinions to enhance Iran’s performance in this division by prioritizing them.
Research limitations/implications
One of the limitations of this research was that the indicators used in three phases of national innovation capability in DEA were extracted only from the World Intellectual Property Organization database. Another limitation was the number of experts in focus group sessions because due to the difficulty of gathering them in one session, the researchers lost the participation of some of these recognized experts. Also, the research concentration was on the improvement of the third phase of national innovation capability, in which Iran’s performance was weak.
Originality/value
Creating a relationship between the divisions of dynamic network DEA, as a national innovation capability appraisal model, and the concepts of clusters extracted from reviewing the intellectual structure and evolution of innovation capability and related concepts.
Details
Keywords
Arefeh Rahaei and Reza Salehzadeh
The purpose of this study is to evaluate the impact of psychological entitlement and perceived organizational justice on cyberloafing.
Abstract
Purpose
The purpose of this study is to evaluate the impact of psychological entitlement and perceived organizational justice on cyberloafing.
Design/methodology/approach
In this study, a cross-sectional research design based on a questionnaire method was used to collect the required data from a sample of 226 employees working at selected universities in the city of Isfahan, Iran. To test the research hypotheses, structural equation modeling was used.
Findings
According to the findings, psychological entitlement could have a significant impact on perceived organizational justice and consequently perceived organizational justice could significantly influence cyberloafing. Moreover, psychological entitlement could significantly influence cyberloafing and finally, psychological entitlement could have a significant effect on cyberloafing through perceived organizational justice.
Originality/value
This research provides valuable insight for studying the relationship among psychological entitlement, perceived organizational justice and cyberloafing.
Details
Keywords
Nimah Bahreini Esfahani, Maryam Jafari and Amir Reza Moravejolahkami
Heavy metals constitute one of the most hazardous substances that could be accumulated in biota coming from human activities such as agricultural and industrial wastes. This paper…
Abstract
Purpose
Heavy metals constitute one of the most hazardous substances that could be accumulated in biota coming from human activities such as agricultural and industrial wastes. This paper aims to study the levels of some of the most common heavy metals in muscles of the fish caught in the Karun River (Ahvaz, Iran) and to assess the health risks associated with their consumption.
Design/methodology/approach
In present study, the concentrations of three heavy metals (Pb, Cd and Cu) in the muscle of highly consumed fish species Ctenopharyngodon Idella (Cyprinidae) collected from three selected markets (Khoram Kooshk, Ahvaz-e Qadim and Padad Shahr; total number of samples was 45) in Ahvaz city and human health risk associated with their consumption were detected by Inductively Coupled Plasma Mass Spectrometry (ICP-MS).
Findings
The results indicated that the highest and lowest accumulated metal concentrations were related to Cu (20.36 ± 0.84) and Cd (0.53 ± 0.02), respectively. In addition, the mean difference for Pb and Cu across two pairwise of sampling sites were significant (Ahvaz-e Qadim and Khoram Kooshk, P for Pb = 0.025, P for Cu = 0.033; Ahvaz-e Qadim and Padad Shahr, p for Pb = 0.018, p for Cu = 0.039). The estimated daily intake of all metals in muscles of fish in this study were below the legal limit, and mean differences were not statistically significant among the sampling sites, except for Cu (Ahvaz-e Qadim and Khoram Kooshk, p = 0.048; Ahvaz-e Qadim and Padad Shahr, p = 0.041). Target hazard quotient values were also all below 1.
Originality/value
It can be concluded that the fishes from Ahvaz city markets are comparatively clean and do not constitute a risk for human health.
Details
Keywords
Isabelle Gallant and Manon Arcand
The purpose of this study is to investigate consumer characteristics (gender, subjective knowledge of product category, susceptibility to social influence, attitude to internet…
Abstract
Purpose
The purpose of this study is to investigate consumer characteristics (gender, subjective knowledge of product category, susceptibility to social influence, attitude to internet shopping and internet use) having a bearing on the proportion of online information searches conducted using personal and impersonal information sources, and to explore which of these factors impact the use of electronic word-of-mouth (eWOM).
Design/methodology/approach
A real-time longitudinal design is used to survey 274 consumers about their information searches when shopping for high involvement goods.
Findings
Susceptibility to normative social influence and internet use prove the main drivers of the inclination to resort to the internet to conduct searches using personal information sources. Subjective knowledge also positively impacts the proportion of time spent online conducting searches using personal information sources. Men and consumers with a positive attitude to internet shopping use a greater proportion of impersonal online information sources. Complementary analyses show that the use of eWOM is driven by almost all consumer characteristics (except gender) investigated.
Originality/value
By using a real-time longitudinal approach, this study directly addresses calls for more research into information searches by investigating multi-channel source use in actual purchase situations and minimizing bias relating to forgotten information, while facilitating the collection of more valid data on consumer information search behaviour. The paper also ranks as one of the first to revisit the drivers of the proportion of online information sources in personal and impersonal sources in the era of Web 2.0.
Details
Keywords
Hugo Gobato Souto and Amir Moradi
This study aims to critically evaluate the competitiveness of Transformer-based models in financial forecasting, specifically in the context of stock realized volatility…
Abstract
Purpose
This study aims to critically evaluate the competitiveness of Transformer-based models in financial forecasting, specifically in the context of stock realized volatility forecasting. It seeks to challenge and extend upon the assertions of Zeng et al. (2023) regarding the purported limitations of these models in handling temporal information in financial time series.
Design/methodology/approach
Employing a robust methodological framework, the study systematically compares a range of Transformer models, including first-generation and advanced iterations like Informer, Autoformer, and PatchTST, against benchmark models (HAR, NBEATSx, NHITS, and TimesNet). The evaluation encompasses 80 different stocks, four error metrics, four statistical tests, and three robustness tests designed to reflect diverse market conditions and data availability scenarios.
Findings
The research uncovers that while first-generation Transformer models, like TFT, underperform in financial forecasting, second-generation models like Informer, Autoformer, and PatchTST demonstrate remarkable efficacy, especially in scenarios characterized by limited historical data and market volatility. The study also highlights the nuanced performance of these models across different forecasting horizons and error metrics, showcasing their potential as robust tools in financial forecasting, which contradicts the findings of Zeng et al. (2023)
Originality/value
This paper contributes to the financial forecasting literature by providing a comprehensive analysis of the applicability of Transformer-based models in this domain. It offers new insights into the capabilities of these models, especially their adaptability to different market conditions and forecasting requirements, challenging the existing skepticism created by Zeng et al. (2023) about their utility in financial forecasting.
Details