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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).

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.

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.

This study is probably the first to provide an exploring of TRIZ inventive principles applications through a research center.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

The findings offer vital insights in guiding policy decisions for Indian manufacturing firms.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.