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The present study delves into the causes of relatively lower retail participation in the Indian REIT market. Specifically, it investigates investors' attitudes and perceptions towards REITs as a unique asset class. This paper provides a comprehensive understanding of the perception and factors influencing Indian retail investors' reluctance to participate in the REIT market.

Qualitative research was conducted through semi-structured interviews to gather insights from non-investors in REITs. The data were transcribed and analyzed using content analysis techniques. Finally, coding techniques were used to identify broad study themes.

According to the study results, many retail investors are unfamiliar with REITs. Even among those knowledgeable about REITs and with a favorable view, it is not commonly seen as a feasible investment option due to its early stage, unattractive returns and limited number of REITs.

Developed countries have established REIT markets, while it is still in its infancy in developing countries such as India. Financial advisors, fund houses and the media should focus on educating investors to increase awareness.

The study is the first qualitative investigation into the perception of retail investors to understand the reasons for lower retail engagement in the Indian REIT market.

In cultivation, early harvest offers farmers an opportunity to increase production while decreasing the chances of lower crop production rates, ensuring that the economy remains balanced. The significant reason is to predict the disease in plants and distinguish the type of syndrome with the help of segmentation and random forest optimization classification. In this investigation, the accurate prior phase of crop imagery has been collected from different datasets like cropscience, yesmodes and nelsonwisc . In the current study, the real-time earlier state of crop images has been gathered from numerous data sources similar to crop_science, yes_modes, nelson_wisc dataset.

In this research work, random forest machine learning-based persuasive plants healthcare computing is provided. If proper ecological care is not applied to early harvesting, it can cause diseases in plants, decrease the cropping rate and less production. Until now different methods have been developed for crop analysis at an earlier stage, but it is necessary to implement methods to advanced techniques. So, the detection of plant diseases with the help of threshold segmentation and random forest classification has been involved in this investigation. This implemented design is verified on Python 3.7.8 software for simulation analysis.

In this work, different methods are developed for crops at an earlier stage, but more methods are needed to implement methods with prior stage crop harvesting. Because of this, a disease-finding system has been implemented. The methodologies like “Threshold segmentation” and RFO classifier lends 97.8% identification precision with 99.3% real optimistic rate, and 59.823 peak signal-to-noise (PSNR), 0.99894 structure similarity index (SSIM), 0.00812 machine squared error (MSE) values are attained.

The implemented machine learning design is outperformance methodology, and they are proving good application detection rate.

The purpose of this paper is to review the accreditation research in specific to its effect on the performance of healthcare organizations.

A comprehensive search and analysis of literature on the effect of healthcare accreditation were conducted between June 2017 and May 2018. The study identified 62 empirical research studies that examined the effect of healthcare accreditation programmes. Study particulars such as year of publication, objectives, focus of the study, research settings and key findings were recorded. A content analysis was performed to identify the frequency of the main themes in the literature. Knowledge gaps needing further examination were identified.

Majority of the accreditation impact studies were carried out in the developed nations (n = 49). The thematic categories, that is the impact on “patient safety and healthcare quality” (n = 26), “healthcare professionals’ views” (n = 28) and “clinical process and outcomes” (n = 17) were addressed more times. Whereas the other two thematic categories “organizational performance” and “consumers’ views or satisfaction,” each was examined less than 10 instances. This review reveals mixed views on effect of healthcare accreditation. The varied quality of studies and the availability of a few studies on consumers’ perception of accreditation effectiveness were the important limiting factors of this review.

The findings are valuable to healthcare managers and hospital administrators in accreditation decisions, whereas findings are of value to researchers and academicians in terms of gaps identified for future research studies pertaining to the impact of healthcare accreditation. Future studies need to consider holistic theoretical frameworks for assessing the effect of accreditation on performance of healthcare organizations to achieve precise results.

The purpose of this paper is to study the various solutions and recommendations provided by researchers in applying the blockchain concept to different problems in aviation industry. It will discuss and highlight the specific approaches that leverages blockchain to mitigate the automatic dependent surveillance-broadcast (ADS-B) security issues. Furthermore, it introduces an innovative design and method to secure ADS-B data using a tamper-resistant distributed public ledger of authenticated flight plans and validates the position and other parameters of the associated aircraft identifier against the flight paths/routes that are stored in the blockchain ledger.

ADS-B is the key technology that is mandated by Federal Aviation Administration in USA by 2020. However, ADS-B data is neither encrypted nor authenticated. This paper proposes a novel solution using blockchain to secure the ADS-B data communications and in-depth analysis of existing solutions covering the following aspects: classification of various possible attacks on ADS-B. Presents various solutions proposed by different researchers regarding use of blockchain in aviation industry. Discuss a new solution to secure ADS-B using blockchain. Discuss the high-level architectural framework of the proposed and patented solution. Finally, presents the conclusions and future work scope.

While the main intention of this paper is to bring together all the existing solutions using blockchain to secure aviation and ADS-B data at one place, the proposed novel solution could contribute to maintaining security and privacy for aircrafts flying in the airspace at any point in time. Continuously securing the ADS-B data transmissions based upon the filed flight plans in real time can provide a mechanism to identify spoofed aircraft messages and communicate the same to ground stations for authentication of existence of such a malicious aircraft. Thus, this solution also differs from all the existing ones.

As aviation industry is in its infancy stage in implementing blockchain-based solutions, practical implementation of the proposed concept might take longer.

This paper is a comprehensive survey and review paper. To the best of the authors’ knowledge, this is the first of its kind that presents various use cases for usage of blockchain in aviation industry along with a detailed review of existing proposed or implemented solutions using blockchain to secure ADS-B data. This can serve as an invaluable reference for the future researchers on this topic in both industry and academia.

Friction stir processing (FSP) is overviewed with the process variables, along with the thermal aspect of different metals.

With its inbuilt advantages, FSP is used to reduce the failure in the structural integrity of the body panels of automobiles, airplanes and lashing rails. FSP has excellent process ability and surface treatability with good corrosion resistance and high strength at elevated temperatures. Process parameters such as rotation speed of the tool, traverse speed, tool tilt angle, groove design, volume fraction and increase in number of tool passes should be considered for generating a processed and defect-free surface of the workpiece.

FSP process is used for modifying the surface by reinforcement of composites to improve the mechanical properties and results in the ultrafine grain refinement of microstructure. FSP uses the frictional heat and mechanical deformation for achieving the maximum performance using the low-cost tool; the production time is also very less.

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This paper aims to empirically analyze the impact of export diversification on gross domestic product (GDP) per capita growth.

Using system generalized method of moments (GMM), a nonlinear model in a dynamic panel data growth framework for 101 countries between 1995 and 2019 was estimated.

Results evidenced that export concentration, measured by the Herfindahl–Hirschman Index (HHI), is negatively associated with GDP per capita growth after controlling for the effects of other explanatory variables. Further, the squared term of HHI used in the model to measure the nonlinear relationship between export concentration and economic growth indicated that the low-income and lower-middle-income countries benefited from export diversification. At the same time, high-income and upper-middle-income countries perform well with their export specialization. The results of the robustness check validate the findings of nonlinear estimation.

The findings recommend that low-income and lower-middle-income countries diversify their export basket to improve economic growth by generating stable export earnings. Similarly, high-income and upper-middle-income countries should focus on measures to close the product lines which no longer belong to their factor endowments and rebalance their export basket.

This study contributes to the existing literature by using the system GMM method, which is most appropriate for a dynamic panel data growth framework with up-to-date data. Further, this study segregates a large panel into 43 concentrated and 58 diversified countries to test the robustness of the empirical results.

This study investigates the relationships among three types of employees’ perceived job control, employee commitment, employees’ well-being, and job performance.

The proposed relationships were investigated based on a cross-section, online, self-administered survey.

The results confirmed the positive role of employees’ job control perceptions on work-related responses.

Results suggested hospitality managers implement practices to improve job control perceptions of employees to enhance their well-being and job performance.

This study was the first to investigate the roles of three types of job control perceptions on employees’ well-being and commitment, based on positive organizational behavior literature and control theory. This study was also the first attempt to explore three types of job control focusing on employees’ perspectives in the hospitality industry.

How might an organization swiftly resolve supplier problems such that the issue does not reoccur? The purpose of this study seeks to understand the impact of different knowledge-sharing routines on measures of effective problem resolution.

Data are collected from an automotive manufacturer's (buyer) database. A hierarchical linear model analyzes dyadic data collected from 155 problems across 24 suppliers.

This study reveals that different ways of communicating have differing impact on measures of effective problem-solving. Communication involving face-to-face interaction slows the process, whereas frequent communication can lead to swift resolution. Furthermore, management teams are more likely to lead to a “better” fix in that these teams are more likely to implement changes in the process or product.

The data are for a tier-one automotive supplier. Hence, the findings are limited by the extent to which other organizations may differ.

The results provide insights for managers experiencing supply issues. Some forms of communication should be encouraged as they enhance the process. Moreover, the findings suggest there are consequences to pressuring a supplier to resolve a complaint quickly.

Very few researchers can claim to have investigated observed collaborative mechanisms that occur between a buyer and its suppliers when resolving a problem. This research adds to the literature on the relational view theory as it applies to supply chain management and problem resolution.

Automatic dependent surveillance-broadcast (ADS-B) is the foundational technology of the next generation air transportation system defined by Federal Aviation Authority and is one of the most precise ways for tracking aircraft position. ADS-B is intended to provide greater situational awareness to the pilots by displaying the traffic information like aircraft ID, altitude, speed and other critical parameters on the Cockpit Display of Traffic Information displays in the cockpit. Unfortunately, due to the initial proposed nature of ADS-B protocol, it is neither encrypted nor has any other innate security mechanisms, which makes it an easy target for malicious attacks. The system is vulnerable to various active and passive attacks like message ingestion, message deletion, eavesdropping, jamming, etc., which has become an area of concern for the aviation industry. The purpose of this study is to propose a method based on modified advanced encryption standard (AES) algorithm to secure the ADS=B messages and increase the integrity of ADS-B data transmissions.

Though there are various cryptographic and non-cryptographic methods proposed to secure ADS-B data transmissions, it is evident that most of these systems have limitations in terms of cost, implementation or feasibility. The new proposed method implements AES encryption techniques on the ADS-B data on the sender side and correlated decryption mechanism at the receiver end. The system is designed based on the flight schedule data available from any flight planning systems and implementing the AES algorithm on the ADS-B data from each aircraft in the flight schedule.

The suitable hardware was developed using Raspberry pi, ESP32 and Ra-02. Several runs were done to verify the original message, transmitted data and received data. During transmission, encryption algorithm was being developed, which has got very high secured transmission, and during the reception, the data was secured. Field test was conducted to validate the transmission and quality. Several trials were done to validate the transmission process. The authors have successfully shown that the ADS-B data can be encrypted using AES algorithm. The authors are successful in transmitting and receiving the ADS-B data packet using the discussed hardware and software methodology. One major advantage of using the proposed solution is that the information received is encrypted, and the receiver ADS-B system can decrypt the messages on the receiving end. This clearly proves that when the data is received by an unknown receiver, the messages cannot be decrypted, as the receiver is not capable of decrypting the AES-authenticated messages transmitted by the authenticated source. Also, AES encryption is highly unlikely to be decrypted if the encryption key and the associated decryption key are not known.

Implementation of the developed solution in actual onboard avionics systems is not within the scope of this research. Hence, assessing in the real-time distances is not covered.

The authors propose to extend this as a software solution to the onboard avionics systems by considering the required architectural changes. This solution can also bring in positive results for unmanned air vehicles in addition to the commercial aircrafts. Enhancement of security to the key operational and navigation data elements is going to be invaluable for future air traffic management and saving lives of people.

The proposed solution has been practically implemented by developing the hardware and software as part of this research. This has been clearly brought out in the paper. The implementation has been tested using the actual ADS-B data/messages received from using the ADS-B receiver. The solution works perfectly, and this brings immense value to the aircraft-to-aircraft and aircraft-to-ground communications, specifically while using ADS-B data for communicating the position information. With the proposed architecture and minor software updates to the onboard avionics, this solution can enhance safety of flights.

Export product concentration is common in developing nations, where raw materials and semi-manufactured commodities face rigid demand in international markets. This leads to the monopolisation of exports, particularly when targeting the developed world. Association of Southeast Asian Nations (ASEAN) and South Asian Association for Regional Cooperation (SAARC) nations have prioritised diversification to boost exports and per capita income, globalising their economies. The normalised Hirschman index is employed to analyse the determinants influencing the diversification of exports in ASEAN and SAARC countries from 2018 to 2021. Except for the fuel intensity variable, the results show that structural transformation, competitive advantages, industrial sector expansion, institutional capability, local investment development, financial stability and overall economic performance positively promote export diversification intensity. The key result is that institutional strength helps nations rapidly diversify their exports, highlighting the importance of structural transformation in boosting exports and globalising economies.