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There is a need to understand the role of innovative literacy in intellectual capital literature. This study aims to develop the innovative literacy scale, starting from the framework of innovative literacy, which is not prominent in the literature. Accordingly, this study develops and validates an innovative literacy scale.

A quantitative research methodology was used for this study, whereby a unipolar 5-point Likert scale self-report questionnaire was designed. Scale development analyses were performed in three steps: (1) The first item pool was created by literature review; (2) preliminary quantitative testing of the reliability and validity of the items, including confirmatory factor analyses (CFA), was performed; and (3) final scale validation through a discriminant and validity test was done using descriptive factor analyses (DFA) and structural equation modelling (SEM).

For the developed scale, the sample size was 220 in the first stage, 440 in the second stage, and 457 in the third stage. The validity and reliability analyses of the results were completed using Statistical Package for the Social Sciences (SPSS) and Analysis of Moment Structures (AMOS) programs. After the preliminary stages, the validity and reliability tests of the scale were carried out, and 17 items (in 4 dimensions) of the innovative literacy scale were finally developed.

This research fills a conceptual gap in the literature. However, since this concept is evaluated using the human, customer and structural components of intellectual capital, future researchers may examine this concept together with other features of intellectual capital and with larger samples.

The article contributes to understanding innovation by developing a scale to evaluate InnoLiteracy, which may be an essential factor influencing innovative literate behaviours. The perceived multi-dimensional scale of InnoLiteracy will be beneficial for academicians and human resources professionals. Although there are studies in the related literature on the importance of the concept of innovative literacy, a scale from the perspectives of intellectual capital and sustainable innovation will be unique since there is no tool for its measurement yet. The findings of the InnoLiteracy research are meaningful, and the scale has the potential to meet the needs of researchers, schools, government agencies and businesses.

The purpose of this study is twofold. First, this research explores the level of Islamic financial literacy of customers in the context of Islamic banking. Second, this study examines the determinants of customer adoption of Islamic banking in Turkey.

This study gathered sample data from 409 participants determined using the purposive sampling method. In the study, first, the reflective measurement model is used to examine the reliability, validity and multicollinearity problems of the variables. Then, AMOS structural equation model (SEM) is used to reveal the relationship between Islamic financial literacy and Islamic banking services. Additionally, this study performed both descriptive and inferential analysis to understand customer literacy about Islamic banking and their adoption behavior of Islamic banking.

The results obtained from descriptive assessment indicate that Turkish customers of Islamic banking possess sufficient literacy about Islamic banking. Moreover, the results from SEM indicate that the adoption of Islamic banking by customers is significantly predicted by the role of Sharia Board management, Islamic banking and purpose of financial institution, religious factor and legitimacy of Islamic financial system.

This study focuses only on the level of knowledge and perceptions of customers who have accounts in Islamic banks or financial institutions in Turkey. It does not focus on the level of knowledge and perception of Muslims who do not have accounts in Islamic banks and financial institutions.

Previous studies on Islamic banking are mostly studies that investigate customers’ perceptions of the Islamic banking system and why individuals prefer Islamic banks. In particular, studies examining the relationship between individuals’ Islamic financial literacy level and Islamic banking preferences are limited. This study is considered to be an original study as it investigates the relationship between the Islamic financial literacy level of individuals and their adoption of Islamic banking services in Turkey.

Supply chains must rebuild for resilience to respond to challenges posed by systemwide disruptions. Unlike past disruptions that were narrow in impact and short-term in duration, the Covid pandemic presented a systemic disruption and revealed shortcomings in responses. This study outlines an approach to rebuilding supply chains for resilience, integrating innovation in areas critical to supply chain management.

The study is based on extensive debates among the authors and their peers. The authors focus on three areas deemed fundamental to supply chain resilience: (1) forecasting, the starting point of supply chain planning, (2) the practices of supply chain risk management and (3) product design, the starting point of supply chain design. The authors’ debated and pooled their viewpoints to outline key changes to these areas in response to systemwide disruptions, supported by a narrative literature review of the evolving research, to identify research opportunities.

All three areas have evolved in response to the changed perspective on supply chain risk instigated by the pandemic and resulting in systemwide disruptions. Forecasting, or prediction generally, is evolving from statistical and time-series methods to human-augmented forecasting supplemented with visual analytics. Risk management has transitioned from enterprise to supply chain risk management to tackling systemic risk. Finally, product design principles have evolved from design-for-manufacturability to design-for-adaptability. All three approaches must work together.

The authors outline the evolution in research directions for forecasting, risk management and product design and present innovative research opportunities for building supply chain resilience against systemwide disruptions.

This paper aims to examine the relationship between economic freedom and Islamic rural banks' efficiency in the case of Indonesia.

The study covers 40 Islamic rural banks in 34 Indonesian regions from 2014 to 2020. Tobit regression is utilized to expose the impact of economic freedom on the efficiency of Islamic rural banks, and nonparametric frontier data envelopment analysis is used to acquire banks' technical efficiency.

The findings reveal that overall economic freedom has a strong favorable impact on the efficiency of Islamic rural banks. The study’s breakdown components suggest that business freedom, government spending and investment freedom are favorable indicators, whereas government integrity and tax burden are negative indicators, and all indicators agree with previous studies.

This research can serve as a guideline for Islamic rural bank management in terms of maintaining financial efficiency. The government should think about the ramifications of financial sector liberalization and reforms, according to these findings. When financial intermediaries operate in a less constrained environment, they are more likely to pursue competitive practices that increase their operating rate and other efficiency metrics. Finally, academics might utilize this information to investigate the economic flexibility of Islamic rural banks.

The novelty of this study is in using data envelopment analysis and Tobit regression to identify economic freedom and Islamic rural banks' efficiency. To the best of the authors' knowledge, the study of the role of economic freedom in Islamic rural bank's efficiency is limited, particularly in the context of Indonesia.

Estimation of (in)efficiency became a popular practice that witnessed applications in virtually any sector of the economy over the last few decades. Many different models were deployed for such endeavors, with Stochastic Frontier Analysis (SFA) models dominating the econometric literature. Among the most popular variants of SFA are Aigner, Lovell, and Schmidt (1977), which launched the literature, and Kumbhakar, Ghosh, and McGuckin (1991), which pioneered the branch taking account of the (in)efficiency term via the so-called environmental variables or determinants of inefficiency. Focusing on these two prominent approaches in SFA, the goal of this chapter is to try to understand the production inefficiency of public hospitals in Queensland. While doing so, a recognized yet often overlooked phenomenon emerges where possible dramatic differences (and consequently very different policy implications) can be derived from different models, even within one paradigm of SFA models. This emphasizes the importance of exploring many alternative models, and scrutinizing their assumptions, before drawing policy implications, especially when such implications may substantially affect people’s lives, as is the case in the hospital sector.