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Article
Publication date: 10 August 2015

Changiz Valmohammadi and Mohsen Kalantari

The purpose of this paper is threefold, first to investigate if ISO 9001 certified companies in an Iranian province (Kermanshah) perform better than non-certified ISO 9001…

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Abstract

Purpose

The purpose of this paper is threefold, first to investigate if ISO 9001 certified companies in an Iranian province (Kermanshah) perform better than non-certified ISO 9001. Second, what is the main motivation of the manufacturing companies of Kermanshah province on obtaining ISO 9001 certification, i.e., internal or external motivations. And finally, if ISO 9001 certified companies with high scores of internal motivations, show better levels of performance in comparison with certified companies obtaining low scores of internal motivations.

Design/methodology/approach

A survey questionnaire was distributed to the 350 companies with ISO 9000 certification, and a total of 287 usable responses were returned. Using a structural equation model, this study empirically examines the relationship between ISO 9000 implementation and firm performance, and the moderating role of firm motivation on organizational performance.

Findings

The results demonstrate that ISO 9001 certified companies show better organizational performance than non-certified ISO 9001 companies and internal motivations play more important role on obtaining ISO 9001 certificate than external motivations. Also ISO 9001 certified companies with high scores of internal motivations show better levels of performance than those ISO 9001 certified companies with low scores of internal motivations.

Research limitations/implications

The sample is restricted to only a single region and manufacturing, so it would be strongly recommended that data be gathered from various parts of Iran including both manufacturing and service industries. As in this study the data gathered were cross-sectional, it is recommended in order to gain deeper understanding of the cause-and-effect relationship among the variables data to be gathered longitudinally.

Originality/value

This study represents a first attempt to construct a conceptual framework that integrates the motivations behind implementing ISO 9000 certification, and ISO 9000 performance in the context of Iran and gives a particular focus on the Iran manufacturing companies.

Details

The TQM Journal, vol. 27 no. 5
Type: Research Article
ISSN: 1754-2731

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Article
Publication date: 1 March 2019

Fadi A. Fatayer, Mohammad A. Hassanain, Abdullatif Abdallah and Abdul-Mohsen Al-Hammad

The purpose of this paper is to investigate the current practices of the early facilities management (FM) involvement during the design development and review stages (DDRS), and…

689

Abstract

Purpose

The purpose of this paper is to investigate the current practices of the early facilities management (FM) involvement during the design development and review stages (DDRS), and recommend activities aimed at achieving better integration.

Design/methodology/approach

A comprehensive literature review was conducted to ascertain the challenges faced by the integrated design team (IDT) in the absence of the facilities managers’ review of design solutions, and underscore the significance of the early involvement of facilities managers during the DDRS. A questionnaire survey was then developed for collecting data on eight aspects of the current practices of early FM involvement during the DDRS. The questionnaire survey was administered to the FM departments of 13 long established, public universities in Saudi Arabia. Ten responses were obtained and analyzed.

Findings

The findings suggest that the early involvement of the FM department enhances the operation and maintenance of facilities. This has been measured through reductions in the number of architectural, structural, electrical, plumbing, heating, ventilating and air conditioning defects.

Practical implications

Recommendations were provided to facilitate the process of integrating the practices of two influential stakeholders of building projects. These recommendations encompass the need for maintainability considerations at the early schematic stage, the necessity of direct contact between the two parties and the necessity of facility managers’ increased familiarity of the design stage activities, among other recommendations. In this way, the study promotes the awareness of the significance of integrating FM with the IDT at the DDRS.

Originality/value

This study contributes to the literature and practice by presenting a detailed analysis of the integration process between the FM department and the IDT. Furthermore, the outcomes of the integration between the parties were measured to assess the effectiveness of the collaboration and highlight the possible areas of improvement.

Details

International Journal of Building Pathology and Adaptation, vol. 37 no. 5
Type: Research Article
ISSN: 2398-4708

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Article
Publication date: 6 January 2022

Hadi Shams Esfandabadi, Mohsen Ghamary Asl, Zahra Shams Esfandabadi, Sneha Gautam and Meisam Ranjbari

This research aims to monitor vegetation indices to assess drought in paddy rice fields in Mazandaran, Iran, and propose the best index to predict rice yield.

420

Abstract

Purpose

This research aims to monitor vegetation indices to assess drought in paddy rice fields in Mazandaran, Iran, and propose the best index to predict rice yield.

Design/methodology/approach

A three-step methodology is applied. First, the paddy rice fields are mapped by using three satellite-based datasets, namely SRTM DEM, Landsat8 TOA and MYD11A2. Second, the maps of indices are extracted using MODIS. And finally, the trend of indices over rice-growing seasons is extracted and compared with the rice yield data.

Findings

Rice paddies maps and vegetation indices maps are provided. Vegetation Health Index (VHI) combining average Temperature Condition Index (TCI) and minimum Vegetation Condition Index (VCI), and also VHI combining TCImin and VCImin are found to be the most proper indices to predict rice yield.

Practical implications

The results serve as a guideline for policy-makers and practitioners in the agro-food industry to (1) support sustainable agriculture and food safety in terms of rice production; (2) help balance the supply and demand sides of the rice market and move towards SDG2; (3) use yield prediction in the rice supply chain management, pricing and trade flows management; and (4) assess drought risk in index-based insurances.

Originality/value

This study, as one of the first research assessing and mapping vegetation indices for rice paddies in northern Iran, particularly contributes to (1) extracting the map of paddy rice fields in Mazandaran Province by using satellite-based data on cloud-computing technology in the Google Earth Engine platform; (2) providing the map of VCI and TCI for the period 2010–2019 based on MODIS data and (3) specifying the best index to describe rice yield through proposing different calculation methods for VHI.

Details

British Food Journal, vol. 124 no. 12
Type: Research Article
ISSN: 0007-070X

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Article
Publication date: 9 February 2015

Changiz Valmohammadi and Mohsen Ahmadi

The purpose of this paper is to present a holistic approach regarding evaluation of knowledge management (KM) practices on organizational performance. The effects of seven…

6893

Abstract

Purpose

The purpose of this paper is to present a holistic approach regarding evaluation of knowledge management (KM) practices on organizational performance. The effects of seven critical success factors (CSFs), namely leadership role, organizational culture, KM strategy, processes and activities, training and education, information technology, and motivation and rewarding system, on organizational performance in the framework of four perspectives of balance scored card (BSC) approach were surveyed.

Design/methodology/approach

The research hypotheses were raised based on the four perspectives of this approach, namely, growth and learning, internal processes, customer and financial. By literature review, CSFs of KM and organizational performance along with their items were identified in the framework of BSC’s perspectives. Based on these constructs and their items an instrument was designed and distributed among managers and employees of the subsidiary firms of Iran National Petrochemical Company (INPC). Reliability of the instrument was calculated by Chronbach’s α for the two sections of the instrument i.e. KM practices and organizational performance. Also, using factor analysis the construct validity of the questionnaire was approved. Finally, based on the hypotheses of the study and using structural equation modeling the impacts of KM practices on organizational performance were investigated.

Findings

The results revealed that KM practices positively and meaningfully (though weak) impact overall organizational performance. This impact is significant only regarding growth and learning dimension and on the other dimensions is insignificant. Also, as customer and financial constructs were loaded on one factor based on the entity of their indicators we considered these two constructs as stakeholders construct. In addition, among the above mentioned seven CSFs, motivation and rewarding system obtained the lowest rank among the survey organizations.

Research limitations/implications

The sample is restricted to only three companies, so gathering data from various parts of Iran including both manufacturing and service industries could increase the generalizability of the results obtained. Also, as in this study the data gathered were cross-sectional, a longitudinal study could help gain deeper understanding of the cause-and-effect relationship among the variables.

Originality/value

The most significant gap in the literature is the lack of enough application of statistical and comprehensive methods like BSC that KM makes a difference to organizational performance. This study contributes to the field of KM by empirically investigating the impact of KM practices on various measures of organizational performance in order to prove the suitability of a comprehensive approach like BSC.

Details

Journal of Enterprise Information Management, vol. 28 no. 1
Type: Research Article
ISSN: 1741-0398

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Article
Publication date: 17 January 2022

Hanieh Shambayati, Mohsen Shafiei Nikabadi, Seyed Mohammad Ali Khatami Firouzabadi, Mohammad Rahmanimanesh and Sara Saberi

Supply chains (SCs) have been growingly virtualized in response to the market challenges and opportunities that are presented by new and cost-effective internet-based technologies…

473

Abstract

Purpose

Supply chains (SCs) have been growingly virtualized in response to the market challenges and opportunities that are presented by new and cost-effective internet-based technologies today. This paper designed a virtual closed-loop supply chain (VCLSC) network based on multiperiod, multiproduct and by using the Internet of Things (IoT). The purpose of the paper is the optimization of the VCLSC network.

Design/methodology/approach

The proposed model considers the maximization of profit. For this purpose, costs related to virtualization such as security, energy consumption, recall and IoT facilities along with the usual costs of the SC are considered in the model. Due to real-world demand fluctuations, in this model, demand is considered fuzzy. Finally, the problem is solved using the Grey Wolf algorithm and Firefly algorithm. A numerical example and sensitivity analysis on the main parameters of the model are used to describe the importance and applicability of the developed model.

Findings

The findings showed that the Firefly algorithm performed better and identified more profit for the SC in each period. Also, the results of the sensitivity analysis using the IoT in a VCLSC showed that the profit of the virtual supply chain (VSC) is higher compared to not using IoT due to tracking defective parts and identifying reversible products. In proposed model, chain members can help improve chain operations by tracking raw materials and products, delivering products faster and with higher quality to customers, bringing a new level of SC efficiency to industries. As a result, VSCs can be controlled, programmed and optimized remotely over the Internet based on virtual objects rather than direct observation.

Originality/value

There are limited researches on designing and optimizing the VCLSC network. This study is one of the first studies that optimize the VSC networks considering minimization of virtual costs and maximization of profits. In most researches, the theory of VSC and its advantages have been described, while in this research, mathematical optimization and modeling of the VSC have been done, and it has been tried to apply SC virtualization using the IoT. Considering virtual costs in VSC optimization is another originality of this research. Also, considering the uncertainty in the SC brings the issue closer to the real world. In this study, virtualization costs including security, recall and energy consumption in SC optimization are considered.

Highlights

  1. Investigates the role of IoT for virtual supply chain profit optimization and mathematical optimization of virtual closed-loop supply chain (VCLSC) based on multiperiod, multiproduct with emphasis on using the IoT under uncertainty.

  2. Considering the most important costs of virtualization of supply chain include: cost of IoT information security, cost of IoT energy consumption, cost of recall the production department, cost of IoT facilities.

  3. Selection of the optimal suppliers in each period and determination of the price of each returned product in virtual supply chain.

  4. Solving and validating the proposed model with two meta-heuristic algorithms (the Grey Wolf algorithm and Firefly algorithm).

Investigates the role of IoT for virtual supply chain profit optimization and mathematical optimization of virtual closed-loop supply chain (VCLSC) based on multiperiod, multiproduct with emphasis on using the IoT under uncertainty.

Considering the most important costs of virtualization of supply chain include: cost of IoT information security, cost of IoT energy consumption, cost of recall the production department, cost of IoT facilities.

Selection of the optimal suppliers in each period and determination of the price of each returned product in virtual supply chain.

Solving and validating the proposed model with two meta-heuristic algorithms (the Grey Wolf algorithm and Firefly algorithm).

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Article
Publication date: 8 March 2021

Behrooz Nazemi and Mohsen Rafiean

The purpose of this paper is to use Group Method of Data Handling (GMDH)-type artificial neural network to model the affecting factors of housing price in Isfahan city housing…

288

Abstract

Purpose

The purpose of this paper is to use Group Method of Data Handling (GMDH)-type artificial neural network to model the affecting factors of housing price in Isfahan city housing market.

Design/methodology/approach

This paper presents an accurate model based on GMDH approach to describing connection between housing price and considered affecting factors in case study of Isfahan city based on trusted data that have been collected from 1995 to 2017 for every six months. The accuracy of the model has been evaluated by mean absolute percentage error (MAPE), root mean square error (RMSE) and mean absolute error (MAE) in this case.

Findings

Due to the obtained value of MAPE, RMSE and MAE and also their interpretation, accuracy of modelling the factors affecting housing price in Isfahan city housing market using GMDH-type artificial neural network that has been conducted in this paper, is acceptable.

Research limitations/implications

Due to limitation of reliable data availability about affecting factors, selected period is from 1995 to 2017. Accessing to longer periods of reliable data can improve the accuracy of the model.

Originality/value

The key point of this research is reaching to a mathematical formula that accurately shows the relationships between housing price in Isfahan city and effective factors. The simplified formula can help users to use it easily for analysing and describing the status of housing market in Isfahan city of Iran.

Details

International Journal of Housing Markets and Analysis, vol. 15 no. 1
Type: Research Article
ISSN: 1753-8270

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Article
Publication date: 12 August 2020

Behrooz Nazemi and Mohsen Rafiean

An accurate predictive model for forecasting urban housing price in Isfahan can be useful for sellers and owners to take more appropriate actions about housing supplying. Also, it…

299

Abstract

Purpose

An accurate predictive model for forecasting urban housing price in Isfahan can be useful for sellers and owners to take more appropriate actions about housing supplying. Also, it can help urban housing planners and policymakers in managing of the housing market and preventing an urban housing crisis in Isfahan. The purpose of this paper is forecasting housing price in Isfahan city of Iran until 2022 using group method of data handling (GMDH).

Design/methodology/approach

This paper presents an accurate predictive model by applying the GMDH algorithm by using GMDH-Shell software for forecasting housing price in municipal boroughs of Isfahan city till the second half of 2022 based on creating time series and existing data. Alongside housing price, some other affecting factors have been also considered to control the forecasting process and make it more accurate. Furthermore, this research shows the housing price changes of boroughs on map using ArcMap.

Findings

Based on forecasting results, the housing price will increase at all boroughs of Isfahan till second half of the year 2022. Amongst them, Borough 15 will have the highest percentage of the price increasing (28.27%) to year 2022 and Borough 6 will have the lowest percentage of the price increasing (8.34%) to the year 2022. About ranking of the boroughs in terms of housing price, Borough number 6 and 3 will keep their current position at the top and Borough number 15 will stay at the bottom.

Research limitations/implications

In this research, just few factors have been selected alongside housing price to control the forecasting process owing to limitation of reliable data availability about affecting factors.

Originality/value

The most remarkable point of this paper is reaching to a mathematical formula that can accurately forecast housing price in Isfahan city which has been rarely investigated in former studies, especially in simplified form. The technique used in this paper to forecast housing price in Isfahan city of Iran can be useful for other cities too.

Details

International Journal of Housing Markets and Analysis, vol. 14 no. 3
Type: Research Article
ISSN: 1753-8270

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Article
Publication date: 28 August 2020

Himanshu Seth, Saurabh Chadha and Satyendra Sharma

This paper evaluates the working capital management (WCM) efficiency of the Indian manufacturing industries through data envelopment analysis (DEA) and empirically investigates…

1417

Abstract

Purpose

This paper evaluates the working capital management (WCM) efficiency of the Indian manufacturing industries through data envelopment analysis (DEA) and empirically investigates the influence of several exogenous variables on the WCM efficiency.

Design/methodology/approach

WCM efficiency was calculated using BCC input-oriented DEA model. Further, the panel data fixed effect model was used on a sample of 1391 Indian manufacturing firms spread across nine industries, covering the period from 2008 to 2019.

Findings

Firstly, the WCM efficiency of Indian manufacturing industries has been stable over the analysis period. Secondly, the capacity to generate internal resources, size, age, productivity, gross domestic product and interest rate significantly influence WCM efficiency.

Research limitations/implications

First, the selected study period has observed various economic uncertainties including demonetization and recession, so the scenario might differ in normal conditions or country-wise. Second, the findings might not be generalizable to the developed economies, since the current study sample belongs to a developing economy, which further provides scope for comparative study.

Practical implications

An efficient model for managing the working capital comprising most vital determinants could enhance the firms' valuation and goodwill. Also, this study would be helpful for financial executives, manufacturers, policymakers, investors, researchers and other stakeholders.

Originality/value

This study estimates the industry-wise WCM efficiency of the Indian manufacturing sector and suggests measures to the concerned parties on areas to focus on and provide evidence on the estimated relationships of firm-level and macroeconomic determinants with WCM efficiency.

Details

International Journal of Productivity and Performance Management, vol. 70 no. 7
Type: Research Article
ISSN: 1741-0401

Keywords

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