Mostafa Jafari, Peyman Akhavan, Hamid Reza Zarghami and Naser Asgari
The purpose of this paper is to explore the efficacy of 40 inventive principles of TRIZ for developing researchers' innovative capabilities and to evaluate the extent of…
Abstract
Purpose
The purpose of this paper is to explore the efficacy of 40 inventive principles of TRIZ for developing researchers' innovative capabilities and to evaluate the extent of application of “40 inventive principles” by inventors in the Research Center of Intelligent and Signal Processing (a successful research center that is producing new products in the field of signal processing and medical engineering).
Design/methodology/approach
A range of relevant literature is explored initially. A questionnaire about 40 inventive principles of TRIZ was developed based on literature review. Finally, a data analysis including descriptive statistics, correlation and regression analysis was designed by using SPSS software.
Findings
The results showed that about 71 percent of the researchers have employed TRIZ above the average in their innovative products. Also these studied researchers used TRIZ principles unintentionally. Therefore, if this research center and similar institutes want to make full use of their researchers' abilities, they can facilitate innovation through offering courses on TRIZ, the principles of TRIZ and its other tools to them.
Originality/value
This study is probably the first to provide an exploring of TRIZ inventive principles applications through a research center.
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Islamic finance and Halal product sectors are thriving successfully. This chapter is a general review of the perception of Asian consumers on Islamic finance and Halal sectors in…
Abstract
Purpose
Islamic finance and Halal product sectors are thriving successfully. This chapter is a general review of the perception of Asian consumers on Islamic finance and Halal sectors in the global Halal economy.
Methodology/approach
The first section will briefly describe the Halal concept in both Islamic finance and Halal industries, and the growth of both sectors in Asian countries. The second part highlights the review of Asian consumers’ perception towards Islamic finance products and Halal products.
Findings
The review found that the consumers’ perception towards the Islamic finance products and Halal products is distinctive. This is due to the diversity of Asian countries in terms of geography, religion, culture, ethnic, school of thoughts (madzahib), income per capita and government’s involvement.
Originality/value
The third part of the chapter concentrates on planning towards Halal marketing, which involves the move and future challenges in different layers of industries to gear up and strengthen the Halal economy.
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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…
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.
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Himanshu Seth, Saurabh Chadha, Satyendra Kumar Sharma and Namita Ruparel
This study develops an integrated approach combining data envelopment analysis (DEA) and structural equation modeling (SEM) for estimating the working capital management (WCM…
Abstract
Purpose
This study develops an integrated approach combining data envelopment analysis (DEA) and structural equation modeling (SEM) for estimating the working capital management (WCM) efficiency and evaluating the effects of diverse exogenous variables on the WCM efficiency and firms' performance.
Design/methodology/approach
DEA is applied for deriving WCM efficiency for 212 Indian manufacturing firms over a period from 2008 to 2019. Also, the effect of human capital (HC), structural capital (SC), cost of external financing (CEF), interest coverage (IC), leverage (LEV), net fixed asset ratio (NFA), asset turnover ratio (ATR) and productivity (PRD) on the WCM efficiency and firms' performance is examined using SEM.
Findings
The average mean efficiency scores ranging from 0.623 to 0.654 highlight the firms operating at around 60% of WCM efficiency only, which is a major concern for Indian manufacturing firms. Further, IC, LEV, NFA, ATR revealed direct effect on the WCM efficiency as well as indirect effect on firms' performance, whereas CEF had only a direct effect on WCM efficiency. HC, SC and PRD had no effects on WCM efficiency and firms' performance.
Practical implications
The findings offer vital insights in guiding policy decisions for Indian manufacturing firms.
Originality/value
This study is the first to identify the endogenous nature of the relationship of HC, SC, CEF, IC altogether with firms' performance, compounded by the WCM efficiency, by applying a comprehensive methodology of DEA and SEM and provides an efficiency performance model for better decision-making.
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Ala' Omar Dandis, Amr Anwar Jarrad, Jamal M M Joudeh, Ibrahim Lewis Mukattash and Anas Ghassan Hassouneh
The purpose of this paper is to investigate the impact of multidimensional service quality on word of mouth (WOM) in university on-campus healthcare centers.
Abstract
Purpose
The purpose of this paper is to investigate the impact of multidimensional service quality on word of mouth (WOM) in university on-campus healthcare centers.
Design/methodology/approach
Data were collected from self-administered questionnaires involving a sample of 407 currently enrolled student-patients visiting the on-campus university healthcare centers in the Jordanian capital, Amman. Non-probability convenience sampling was performed in this study. Factor analysis and multiple and hierarchical multiple regression methods were used to analyze the data and test the proposed relationships.
Findings
The results show that the primary dimensions (administration quality, interpersonal quality and technical quality) had a significant and positive impact on WOM, with administration quality appearing as the most influential factor leading to WOM. At the subdimensions level, the findings of this study revealed that interaction activity had the most significant predictive value on WOM compared to the other service quality subdimensions. An insignificant relationship between atmosphere, tangibles, relationship activity and WOM was found.
Practical implications
This study suggests that university administrators and managers of other high-contact service sectors (e.g. hospitality and travel services, tourism education services, financial and insurance services and public services) ought to take into consideration both service quality subdimensions and satisfaction as significant strategic endpoints, as these inputs provide a roadmap for administrators to elicit positive WOM from customers with regard to their businesses.
Originality/value
This study provided its contribution by presenting a comprehensive model of WOM formation and offering specific insights for the on-campus healthcare centers in higher education institutions. This is also the first study conducted in the Middle East, particularly in Jordan.
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Nasim Rezaeimanesh, Soodeh Razeghi Jahromi, Abdorreza Naser Moghadasi, Pegah Rafiee, Zeinab Ghorbani, Nahid Beladi Moghadam, Azita Hekmatdoost and Mohammad Ali Sahraian
Neuromyelitis Optica Spectrum Disorder (NMOSD) is a rare disease with unknown risk factors. The role of oxidative stress and nutritional factors is imprecise in NMOSD development…
Abstract
Purpose
Neuromyelitis Optica Spectrum Disorder (NMOSD) is a rare disease with unknown risk factors. The role of oxidative stress and nutritional factors is imprecise in NMOSD development. Therefore, this paper aims to evaluate the effects of dietary total antioxidant capacity (TAC) on the odds of NMOSD.
Design/methodology/approach
Dietary TAC was determined in 70 definite NMOSD cases and 164 healthy controls in term of Ferric Reducing Antioxidant Power (FRAP) method. A validated 168-item semi-quantitative food frequency questionnaire (FFQ) was used for dietary assessment. Three multivariate regression models were applied to analyze the odds of NMOSD across the TAC quartiles.
Findings
A significant inverse association was found between dietary TAC and odds of being assigned to the NMOSD group in all three regression models. In the fully adjusted model ORs (95% CI) in the second, third and fourth quartiles of TAC vs the first quartile were as follows: 0.11 (0.04-0.29), 0.05 (0.01-0.16) and 0.01 (0.00-0.05), respectively. Odds of NMOSD also indicated a significant decreasing trend across the quartiles of dietary TAC (p-trend: <0.01). Total energy (p < 0.01) as well as consumption of vegetables (p < 0.01), whole grains (p < 0.01), tea and coffee (p < 0.01), legumes (p < 0.01) and poultry (p < 0.01) significantly increased through the TAC quartiles.
Originality/value
In the present study, a new hypothesis was proposed concerning the influence of dietary TAC on the odds of NMOSD. A diet rich in foods with high TAC can be effective in the modification of the NMOSD odds.
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Abdalmuttaleb Musleh Alsartawi
This study aims to examine the relationship between the diffusion of technology-enabled innovation in financial services (i.e. financial technology [FinTech]) and the financial…
Abstract
Purpose
This study aims to examine the relationship between the diffusion of technology-enabled innovation in financial services (i.e. financial technology [FinTech]) and the financial performance, i.e. profitability and market value of the banks listed in the Gulf Cooperation Council (GCC) countries.
Design/methodology/approach
An extensive review of the literature was carried out, and a diffusion index of 73 items including was adopted to measure the level of FinTech usage or diffusion for the banks that are listed on the GCC stock exchanges. The study used return on assets (ROA) and Tobin’s Q (TQ) as proxies to measure profitability and market value, respectively.
Findings
The findings of the empirical results indicate that there is a positive relationship between FinTech implementation and market performance (TQ) in the GCC banks. The results also showed that the highest level of FinTech implementation was 79.7% by United Arab Emirates banks followed by Bahraini banks at 76.7% based on the index developed for this study.
Practical implications
This study, hence, recommends that policymakers and governments implement supportive policies and initiatives, allowing consumers to embrace technology as part of their way of life. This encourages banks and other organizations to formulate strategies that integrate technology into operations.
Originality/value
This paper offers new contributions to the GCC literature regarding financial technology and provides recommendations to the GCC financial institutions, financial markets, policymakers and governments.
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Zhen Li, Zhao Lei, Hengyang Sun, Bin Li and Zhizhong Qiao
The purpose of this study was to validate the feasibility of the proposed microstructure-based model by comparing the simulation results with experimental data. The study also…
Abstract
Purpose
The purpose of this study was to validate the feasibility of the proposed microstructure-based model by comparing the simulation results with experimental data. The study also aimed to investigate the relationship between the orientation of graphite flakes and the failure behavior of the material under compressive loads as well as the effect of image size on the accuracy of stress–strain behavior predictions.
Design/methodology/approach
This paper presents a microstructure-based model that utilizes the finite element method (FEM) combined with representative volume elements (RVE) to simulate the hardening and failure behavior of ferrite-pearlite matrix gray cast iron under uniaxial loading conditions. The material was first analyzed using optical microscopy, scanning electron microscopy (SEM), energy-dispersive X-ray spectroscopy (EDS) and X-ray diffraction (XRD) to identify the different phases and their characteristics. High-resolution SEM images of the undeformed material microstructure were then converted into finite element meshes using OOF2 software. The Johnson–Cook (J–C) model, along with a damage model, was employed in Abaqus FEA software to estimate the elastic and elastoplastic behavior under assumed plane stress conditions.
Findings
The findings indicate that crack initiation and propagation in gray cast iron begin at the interface between graphite particles and the pearlitic matrix, with microcrack networks extending into the metal matrix, eventually coalescing to cause material failure. The ferritic phase within the material contributes some ductility, thereby delaying crack initiation.
Originality/value
This study introduces a novel approach by integrating microstructural analysis with FEM and RVE techniques to accurately model the hardening and failure behavior of gray cast iron under uniaxial loading. The incorporation of high-resolution SEM images into finite element meshes, combined with the J–C model and damage assessment in Abaqus, provides a comprehensive method for predicting material performance. This approach enhances the understanding of the microstructural influences on crack initiation and propagation, offering valuable insights for improving the design and durability of gray cast iron components.