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This study aims to explore the role of liberalization, business group affiliation and degree of internationalization (DOI) on the performance of Indian international new ventures (INVs).

The study identifies Indian INVs incorporated between 1991 and 2010 against the backdrop of liberalization. To test various hypotheses, a random effects panel regression analysis was conducted for publicly listed Indian INVs.

The results highlight that business group affiliation and DOI are positively related to INV performance. Further, liberalization negatively moderates the relationship between group affiliation and INV performance. The authors’ findings indicate that as institutions improve, the positive effect of business group affiliation on firm performance decreases in emerging markets.

This paper highlights the benefits accruing to business group affiliated INVs and the moderating role of liberalization on firm performance. Future studies may augment the authors’ understanding of INV performance by testing heterogeneity within business groups and their impact on INV performance across other emerging economies.

As institutional reforms strengthen over time, the positive effect of group affiliation on INV performance declines. Hence, managers of group affiliates need to adapt to the changing institutions faster and develop their fit with the institutional environment earlier than standalone firms, to mitigate their profitability issues.

To the best of the authors’ knowledge, this is the first paper to discuss the role of business group affiliation and the moderating role of liberalization on INV performance with theoretical and managerial implications.

The purpose of this study is to examine the effect of risk sharing and non-risk sharing instruments on both the profitability of Islamic banks and the economic growth of the country. This study also aims to improve the profit and loss sharing-based asset growth of Islamic banks.

The data for this study are obtained from the annual reports of all Islamic banks from Bangladesh using Bank scope database and annual report for the period of 1983–2014. The research uses Autoregressive Distributive Lag approach.

The findings reveal that risk sharing instruments are positively related to profitability and the economic growth of the country. This study also finds that non-risk sharing instruments play a predominant role in the profitability of the Islamic bank but are negatively related to the economic growth of the country.

Banks and other financial institutions need to pay greater attention to systemic risk created by risk transfer and apply risk sharing methods of financing more vigorously than has hitherto been the case.

This study will also contribute to the literature as relatively few Islamic financial literatures deal with the relationship between equity financing and profitability which may make a strong contribution to the area of Islamic finance.

The purpose of this paper is to analyze the difference in students’ preferences on weekly menu of school mid-day meal (MDM) program in Uttar Pradesh, India.

The study is based on primary structured questionnaire survey through personal interviews using multi-stage stratified sampling technique. This comprehensive survey covered 2,400 primary and upper primary students belonging to eight districts of Uttar Pradesh – Allahabad, Balrampur, Gautam Buddh Nagar, Hathras, Kanpur Nagar, Mathura, Shahjahanpur and Varanasi. A total of 60 schools have been selected from each district, covering a total of 480 primary and upper primary schools. Simple statistical tools have been used to analyze the surveyed data such as cross-tabulation, percentage distribution and rank analysis. Further, six research hypotheses have been formulated to analyze the difference in school meal menu preferences among the students and χ2-statistics has been used to test the significance level of these hypotheses.

Survey results indicate that more than 90 percent students eat MDM in the school as per the weekly menu. Result of χ2-test indicates that choices on school meal menu among the students differ significantly across weekdays. Rice-pulses or rice-sambar served on Tuesday is reported to be the first preferred food of children given first preference by around 30 percent, followed by kadi-rice or kheer which is served on Wednesday. The results of χ2-tests exhibited a significant difference on weekly menu choices by gender, kitchen types, rural and urban locations and geographical regions. About 27 percent of the students reported that they want to have a change in the menu. When further probed about the kind of changes desired in the menu, puri-vegetables was found to be the most preferred choice of the respondents, beside halwa/kheer and rice with pulses/vegetables/kadi being the next preferred choices.

The present study provides managerial implications to the policy makers and scheme/program implementers for better understanding of the students’ preferences on school MDM weekly menu.

There are several evaluation studies undertaken by various agencies to assess the impact of MDM program on school attendance, retention and nutritional status of children. However, there are limited numbers of studies available, which have measured the students’ preferences on school MDM menu.

There are high expectations for reliability, safety and fault tolerance are high in chemical plants. Control systems are capable of potential faults in the plant processing systems. This paper proposes is a new Fault Tolerant Control (FTC) system to identify the probable fault occurrences in the plant.

A Fault Diagnosis and Isolation (FDI) module has been devised based on the estimated state of system. An Unscented Kalman Filter (UKF) is the main innovation of the FDI module to identify the faults. A Multi-Sensor Data Fusion algorithm is utilized to integrate the UKF output data to enhance fault identification. The UKF employs an augmented state vector to estimate system states and faults simultaneously. A control mechanism is designed to compensate for the undesirable effects of the detected faults.

The performance of the Nonlinear Model Predictive Controller (NMPC) without any fault compensation is compared with the proposed FTC scheme under different fault scenarios. Analysis of the simulation results indicates that the FDI method is able to identify the faults accurately. The proposed FTC approach facilitates recovery of the closed loop performance after the faults have been isolated.

A significant contribution of the paper is the design of an FTC system by using UKF to estimate faults and enhance the accuracy of data. This is done by applying a data fusion algorithm and controlling the system by the NMPC after eliminating the effects of faults.

Building a bioeconomy requires efficient technology transfer and global linkages to exploit finite intellectual property exclusivity periods. Using a resource‐based view lens, this paper aims to assess the priorities, capabilities, and competitiveness of the emerging bioeconomy in India.

A triangulated design was used that involved interviews, case studies and a survey of 61 India biotechnology industry participants.

Two high priority capabilities were identified as being critical to fostering a competitive bioeconomy – access to talent and access to funding. Participants also identified the critical role of government in building and coordinating infrastructure, enabling critical capabilities, and accelerating bi‐directional technology and capital flows. This study reinforces the resource‐based view strategy framework regarding the importance of local context for biotechnology research.

Implications include the need for public‐private sector collaboration to strengthen industry infrastructure and enable biotechnology start‐ups, partnering between academia and government to accelerate technology transfer, and importance of seeking international investment and alliances early in a company's lifecycle to ensure sustainability.

These India‐centric lessons may be valuable in advancing knowledge for building successful biotechnology clusters, particularly for emerging market countries.

The purpose of this paper is to analyze the differences in pupils’ satisfaction on various aspects of mid-day meal (MDM) program in India across food catered by centralized and decentralized kitchens.

The study is based on structured questionnaire survey through personal interviews of 1,200 school children of primary and upper primary schools of four districts of the state of Uttar Pradesh, India. Simple statistical tools such as descriptive statistics, factor analysis, t-test and analysis of variance (ANOVA) have been used for meaningful data analysis.

Pupils’ responses on 17 attributes of their satisfaction on school meal program were reduced to four components − quality of food, social bonding, health and hygiene and availability of support infrastructure, using factor analysis technique. Findings show the perceived differences in satisfaction on various aspects of MDM program. Further, ANOVA indicate that there is significant difference in the satisfaction level on MDM supplied through centralized and decentralized kitchens.

This study provides an understanding of pupils’ perceptions of school meal program in order to enable policy makers, school administration and caterers of MDM to design better food service delivery models.

Findings of the study clearly indicate that benefit of social bonding is an added advantage to continue the school meal program irrespective of the fact whether food is served through centralized or decentralized kitchens.

There are several evaluation studies undertaken by various agencies to assess the impact of MDM program in India. However, there are only limited numbers of studies available, which have analyzed the children’s satisfaction on school MDM program across kitchen types.

The purpose of this study is to explore the challenges hindering the adoption of Industry 4.0 (I4.0) among construction companies.

The construction industry needs innovative technologies due to its complex and dynamic nature. In this respect, the latest trends such as digitalization, building information modeling (BIM), Internet of things (IoT) are of utmost importance in terms of fostering the change in managing projects and encouraging industry practitioners to adopt the change for better performance. This paper focuses on I4.0adoption among construction companies. In this respect, a questionnaire was designed and administered to construction professionals to reveal the challenges in I4.0 adoption among construction firms. The respondents were requested to fill in the questionnaire on the I4.0 efforts of their companies. The questionnaire was intended to collect the perceptions of industry practitioners working at large construction companies. Based on these, the challenges listed were ranked based on their relative importance and success indices. Finally, the Mann–Whitney U test was conducted to test whether statistically significant responses exist among groups of respondents (i.e. young and old companies, large and small, high and low revenue and main area of expertise).

The results of the study indicated that resistance to change, unclear benefits and gains and cost of implementation are the major important challenges in terms of I4.0 adoption in construction projects. On the other hand, the data analysis implied that the majority of construction organizations successfully deal with the problems arising from lack of standardization, legal and contractual issues and cost of implementing in terms of promoting I4.0 adoption.

The study is expected to guide construction practitioners in terms of benefitting from I4.0 applications and deliver projects with better outcomes. This study might be used as a guide for the companies aiming to start their I4.0 transformation knowing the challenges and develop strategies for how to handle them. A concrete plan would help them achieve greater performance and benefit from the I4.0 implementation at the maximum level. Finally, the study implies that construction firms shall prepare action plans for handling each challenge listed and monitor their performance based on the planned and actual data of their projects.

This study investigates the major challenges of I4.0 among construction companies. This is one of the important studies, which puts I4.0 focus forefront of the construction industry with a clear identification of challenges that construction organizations have to address to transform their organizations into construction 4.0. The study has the potential to guide both industry practitioners and researchers to develop awareness for the benefits of using the latest technology and fostering innovation. This is expected to create value for construction clients in terms of achieving the product with serious gains such as time and cost.

Coronary artery disease (CAD) is developed by an insufficient supply of oxygen-rich blood to the myocardium. Recent studies have shown that increased oxidative stress has implicated in the pathogenesis of coronary atherosclerosis. Anxiety and CAD have a mutual relationship, as the effect of long-lasting anxiety on atherosclerosis and CAD is well known. The purpose of this study is to investigate the relationship between dietary / serum total antioxidant capacity and CAD.

A total of 160 male patients were enrolled in this cross-sectional study. Diagnosis and analysis of angiograms were performed visually by a cardiologist. The subjects were categorized into CAD− (coronary artery obstruction <75 per cent) and CAD+ (coronary artery obstruction ≥ 75 per cent) groups. Anthropometric indices, blood pressure, blood sugar and lipid profile and physical activity (PA) were assessed. Information about anxiety was obtained by Spielberger questionnaire. Dietary total antioxidant capacity (TAC) was obtained by using a semi-quantitative food frequency questionnaire and an oxygen radical absorbance capacity of selected foods.

Mean of dietary TAC was significantly lower in CAD+ than CAD− group (P < 0.001). However, there was not any significant differences about serum TAC (P = 0.28). The mean of body mass index (BMI) (P = 0.04) and triglyceride (TG) level (P = 0.03) and the frequency of smoking (P = 0.03) were significantly higher in the CAD+ than the CAD− group. There was no significant relationship between CAD with apparent (P = 0.33) and hidden anxiety level (P = 0.16). Confounding factors such as smoking and medications were adjusted.

This study had certain limitations. Being a single center cross-sectional design does not permit analysis of causal relationships; the sample size was geographically limited. The authors could not exclude the medication of patients, which could affect the total antioxidant capacity levels. Measurement error in self-reported dietary consumption may results misclassification of exposure.

A diet high in total antioxidant capacity is inversely associated with CAD. Serum TAC does not vary between men with and without CAD when confounders including age, BMI, TG, smoking, SBP, DBP, energy intake, PA, HDL-C, LDL-C, T-C, FBS, family history of CAD, education and anxiety are taken into consideration.

High consumption of vegetables and fruits may play a major role in the prevention of CAD.

The study was approved by the ethics committee of Isfahan University of Medical Sciences (No:394888).