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The main purpose of this paper is to investigate drivers and barriers of climate change mitigation strategies (CCMS), their linkages and impact in Indian Iron and Steel Industry (IISI) in light of ninth sustainable development goal (building resilient infrastructure, promote sustainable industrialization and foster innovation).

To identify relevant drivers and barriers, a thorough literature review and opinions of industry experts were obtained. Utilizing Total Interpretive Structural Modeling (TISM), the selected drivers and barriers were modeled separately along with Cross Impact Matrix-multiplication Applied to Classification (MICMAC).

Pragmatic and cost-effective technology, less supply chain complexity, robust policy and legal framework were found to have the highest driving power over all the other drivers. Findings suggest political pressure as the most critical barrier in this study. The results from TISM and MICMAC analysis have been used to elucidate a framework for the understanding of policymakers and achieve top management commitment.

This paper will help researchers, academicians, industry analysts and policymakers in developing a systems approach in prioritizing CCMS in energy-intensive (coal dependent) iron and steel plants. The model outcomes of this work will aid operational research to understand the working principles in other industries as well.

To the best of authors' knowledge, there is paucity of reported literature for the drivers and barriers of CCMS in iron and steel industry. This paper can be considered a unique, first attempt to use data from developing nations like India to develop a model and explain relationships of the existing drivers and barriers of CCMS.

The purpose of this paper is to identify barriers and drivers to open source software (OSS) adoption, and measures awareness and adoption stages of OSS in US academic libraries.

An online survey of chief information officers, chief technology officers or heads for IT in US academic libraries was conducted. A total number of 179 responses were used for data analysis.

From the survey, the authors identify significant barriers and drivers that US academic libraries may consider before adopting OSS and found that awareness itself is not a barrier. While about half of respondents confirmed using OSS, the authors found surprisingly low levels of intent to adopt from current non-adopters.

This research offers insights for promoting OSS adoption. Also, it provides funding agencies and administrators with guidelines to encourage successful deployment of OSS in higher education.

While extant research is mostly anecdotal, this research draws from an online survey to snap-shot the current state of OSS adoption in US academic libraries and provides a baseline for practice and research.

The principle that, for optimal retrieval, documents should be ranked in order of the probability of relevance or usefulness has been brought into question by Cooper. It is shown that the principle can be justified under certain assumptions, but that in cases where these assumptions do not hold, the principle is not valid. The major problem appears to lie in the way the principle considers each document independently of the rest. The nature of the information on the basis of which the system decides whether or not to retrieve the documents determines whether the document‐by‐document approach is valid.

This paper assesses how discretionary accruals (DAs) affect corporate cash savings policies and the motivation behind this cash saving behavior and, also whether the linkage between DAs and cash saving affect the market-perceived cash value.

We construct the measure of DAs using the previous five-year average information to investigate the association of DAs with the change in cash. Moreover, the Faulkender and Wang (2006) methodology is utilized to examine the market-perceived cash value in DAs.

The key finding is that firms with high DAs save significantly more cash. A one standard deviation increase in DAs saves cash by 12.59%. Furthermore, the value of cash is low for these firms. The effect is stronger in firms with poor governance but not present in financially constrained firms.

The empirical evidence highlights DAs have negative effect on market-perceived cash value, which underscores the insight that managers manage earnings opportunistically using DAs.

Taken together, we provide more evidence on the literature of accruals in earnings manipulation.

The purpose of this paper is to develop and subsequently validate a Maqasid al-Shari’ah-based performance evaluation model for Islamic banks.

Initially, a comprehensive review of the existing and relevant literature is carried out and a prototype evaluation model has been developed. This has been augmented and refined through in-depth interviews of Shari’ah scholars and banking experts. Afterwards, the modified model has been validated by taking inputs from academics and Islamic banking practitioners through a focus group discussion.

The major outcome of the present work is a Maqasid al-Shari’ah-based performance evaluation model for Islamic banks. At the inception of the work, the Maqasid frameworks of Imam al-Ghazali and Abu Zahrah were combined. The combined model incorporates various dimensions, elements and the corresponding measures of three components, namely, justice, education and maslahah.

Not being able to test the model statistically or empirically can be considered as a limitation.

The comprehensive theoretical framework of the developed model addresses all aspects of human well-being. Thus, if implemented the model will ensure welfare for all the stakeholders. It will also encourage the regulators to introduce new reporting standards which will be more reflective of Maqasid al-Shari’ah.

Fulfilling Maqasid will create a positive brand image for Islamic banks, which will attract more customers both Muslims and non-Muslims. Thus, this will create a wider scope for earning more revenues.

There has been concern that Islamic banks are converging towards conventional banking systems and the same performance measure instrument is being used to evaluate the performance of both Islamic and conventional banks. The present work has developed a Maqasid al-Shari’ah-based performance evaluation model for Islamic banks.

Determination of new warehouse locations is an important managerial decision. The problem typically involves a number of considerations such as cost per distance of distribution to and from the warehouse, volume of distribution, fixed and variable site costs, service performance of the warehouse and potential increases in demand (or service), as well as many other factors. The economic significance of warehouse location decisions is increasing, particularly due to expected increases in transportation costs, competition for market share and changing demand patterns.

Supply chain vulnerability (SCV) analysis is vital for manufacturers globally because it creates a pathway for building resilient supply chains in uncertain environments. This study aims to identify drivers of SCV in the Indian manufacturing sector.

Sixteen drivers were identified from the literature review and followed by expert interviews. Interpretive structural modeling was used to determine the hierarchical structural relationship among identified SCV factors.

It was found that risk is not a board room agenda. Misaligned performance measures with incentives and lack of risk dashboard are the causal factors of SCV. Supply chain security, centralized production and distribution and lack of trust in the supply chain were driven factors.

This provides new insights to assess and prioritize initiatives for supply chain sustainability in terms of continuing business operations. The structural model provides a systemic view of SCV and helps reduce vulnerability.

This chapter considers warranty policies involving two attributes, such as the time elapsed since sale of the product and product usage at a given point in time. Examples of such policies are found for automobiles, where warranty may be invoked by the consumer if both time and usage are within specified warranty parameters when a product failure occurs. Here, we assume that usage and product age are related through a random variable, the usage rate, which may have a certain probabilistic distribution as influenced by consumer behavior patterns. Furthermore, product failure rate is influenced by the usage rate and product age as well as research and development expenditures per unit. It is assumed that, in production, there is a learning effect with time. The attained market share of a product will be influenced by the warranty policy parameters of warranty time and usage limit and also by the product price and product quality. An integrated model is developed to address multiobjective goals such as attainment of a specified level of market share and net profit per unit when manufacturing and warranty costs are taken into account. The impact of the goal priorities are investigated on the attained warranty policy parameters.

Two-attribute warranty policies are considered that incorporate, for example, the time elapsed since sale of the product and product usage at a given point in time. Such policies occur in consumer products, such as automobiles, where warranty may be exercised if both time and usage are within specified warranty parameters when a product failure occurs. In this chapter, it is assumed that usage and product age are related through a random variable, the usage rate, which may have a certain probabilistic distribution as influenced by consumer behavior patterns. Product quality is modeled through the product failure rate, which is influenced by unit research and development expenditures as well as the usage rate and product age. The attained market share of the product is modeled as a function of the warranty policy parameters of price, warranty time, and usage limit, with product quality also having an influence. Attainment of single and multiple objectives are explored. Such objectives encompass expected total unit costs as a proportion of unit product price and market share.