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In the organizational behaviour literature, psychological capital (psycap) has been identified as a significant variable affecting the engagement level of employees. Relying on this, this study aims to examine the association between psycap sub-constructs and employee engagement (EE) using systematic review and meta-analysis techniques.

The study analyzed 28 primary studies (selected through a systematic review of literature by incorporating inclusion and exclusion criteria) via meta-analysis techniques conducted using Meta-Essential Software (1.5). Along with this, the Cohen Kappa reliability test and the trim and fill technique have been applied, followed by moderator analysis.

The results of the study contribute to the extant literature in three ways. Firstly, the study confirms the positive association between psycap sub-constructs and EE. Secondly, it looks into the individual constructs of psycap and shows that hope is the primary component that influences EE, followed by optimism, efficacy and resilience. Thirdly, the country acts as a moderator between psycap and EE.

The study’s result highlights numerous implications, suggesting that organizations should focus on bringing out the latent “HERO” (hope, efficacy, resilience and optimism) qualities of their employees to make the workplace more engaging. Lastly, the study concludes by pointing out the limitations and highlighting future directions.

Being the first systematic review and meta-analytical study focusing on psycap sub-constructs and EE associations, this study contributes to the engagement literature.

The Zhang–Markusen (Z-M) inverse U-shape theory uses education as a human capital variable to investigate the impact of educational attainment on foreign direct investment (FDI) inflows to a country. The objective of this research is to empirically test this theory in a cross-country framework.

Fixed effect panel regression has been used to test the Z-M hypothesis for 172 countries for the period 1990–2015. For the purpose of this study, countries were divided into four groups as per the World Bank classification: Low-income economies, lower middle-income countries, upper middle-income economies and high-income economies.

The findings of this study reinforce the proposition that macroeconomic factors are the major determinants of FDI inflows into various countries. The authors find that the size of the market measured by gross domestic product (GDP), the growth potential of the market measured by real GDP growth rate and the availability of infrastructure are the major factors that enhance the attractiveness of a country as an FDI destination.

Though the Z-M theory has been empirically tested in cross-country frameworks, no consensus has been reached. Thus, it is interesting to look again at the validity of the Z-M hypothesis using data covering longer and more recent periods. The study includes both macroeconomic and human capital determinants of FDI, so as to arrive at a comprehensive model explaining the FDI flows into various countries.

This paper aims to identify factors that influence customers' panic buying behavior during the COVID-19 pandemic.

A self-administered questionnaire was distributed to 357 participants in Fiji, and structural equation modeling to analyze the collected data.

Results indicate that expected personal outcomes is positively associated with customers' attitudes while expected community-related outcomes negatively impact customers' attitudes. Factors such as attitude, subjective norms, scarcity, time pressure and perceived competition were found to positively influence customers' panic buying intention. Furthermore, scarcity and time pressure were confirmed to positively influence perceived competitiveness while perceived social detection risk negatively influences customer's panic buying intention.

The findings highlight the need for better measures to ensure that every customer has access to goods and services and is not deprived of such necessities in times of a crisis. These results will assist store managers and policymakers in introducing better management, social policies and resource utilization mechanisms to mitigate panic buying during the pandemic.

This study's findings contribute to the literature on customer's panic buying behavior during a global pandemic. Research in this area remain scarce, inconsistent and inconclusive. Novel insights are generated as this study is the first to combine the theory of planned behavior, privacy calculus theory and protection motivation theory. Applying these theories allows new relationships to be tested to better understand customer behavior during a global pandemic. With most studies on customer behavior during crises and disasters in developed countries, this study generates new insights by exploring customer behavior in a developing country.

The purpose of this study is to calculate the effect of different packet sizes 256, 512, 1,024 and 2,048 bytes on a large-scale hybrid network and analysis and identifies which routing protocol is best for application throughput, application delay and network link parameters for different packet sizes. As the routing protocol is used to select the optimal path to transfer data packets from source to destination. It is always important to consider the performance of the routing protocol before the final network configuration. From the literature, it has been observed that RIP (Routing Information Protocol) and OSPF (Open Shortest Path First) are the most popular routing protocols, and it has always been a challenge to select between these routing protocols, especially for hybrid networks. The efficiency of routing protocol mainly depends on resulting throughput and delay. Also, it has been observed that data packet size also plays an essential role in determining the efficiency of routing protocol.

To analyse the effect of different packet sizes using two routing protocols, routing information protocol (RIP) and open shortest path first (OSPF) on the hybrid network, require detailed planning. Designing the network for simulate and then finally analysing the results requires proper study. Each stage needs to be understood well for work accomplishment. Thus, the network’s simulation and evaluation require implementing the proposed work step by step, saving time and cost. Here, the proposed work methodology is defined in six steps or stages.

The simulation results show that both routing protocols – RIP and OSPF are equally good in terms of network throughput for all different packet sizes. However, OSPF performs better in terms of network delay than RIP routing protocol in different packet size scenarios.

In this paper, a fixed network of 125 objects and only RIP and OSPF routing protocol have been used for analysis. Therefore, in the future, a comparison of different network sizes can be considered by increasing or decreasing the number of objects in the proposed network. Furthermore, the other routing protocols can be used for performance evaluation on the same proposed network.

The analysis can be conducted by simulation of the network, enabling us to develop a network environment without restricting the selection of parameters as it minimizes cost, network deployment overhead, human resources, etc. The results are analysed, calculated and compared for each packet size on different routing protocol networks individually and the conclusion is made.

The purpose of this paper is to propose, a new multi-path routing protocol that distributes packets over the available paths between a sender and a receiver in a multi-hop ad hoc network. We call this protocol Geometric Sequence Based Multipath Routing Protocol (GMRP).

GMRP distributes packets according to the geometric sequence. GMRP is evaluated using GloMoSim simulator. The authors use packet delivery ratio and end-to-end delay as the comparison performance metrics. They also vary many network configuration parameters such as number of nodes, transmission rate, mobility speed and network area.

The simulation results show that GMRP reduces the average end-to-end delay by up to 49 per cent and increases the delivery ratio by up to 8 per cent.

This study is the first to propose to use of geometric sequence in the multipath routing approach.

The purpose of this paper is to develop a conceptual framework of waste management by using total interpretive structural modeling (TISM) technique in the Indian organizational context.

TISM technique has been used to develop a conceptual framework of waste management in the organizational context, where the waste management factors have been identified and verified through content analysis.

The conceptual framework of waste management in the organization has been developed using TISM that contributes to the development of important links and the hierarchical relationships among the factors. In addition to it, the model also figures out the driving and dependent factors of waste management.

This study has its implication for both organizations and policy makers. It provides the important factors for managing waste in the organization which must be considered before planning the waste management practice in an organization. For policy makers, it highlights the waste management paths and important linkages required for the development of waste management policies in the organizations.

This study has made its contribution by providing the conceptual framework for waste management in the Indian organizational context which has been developed through qualitative modeling technique. The conceptual framework also provides important paths of managing waste in the organization which is a new effort in the Indian organizational context.

In developed and developing countries, organizations need to do sustainability reporting. The purpose of this paper is to identify the vital linkages of sustainability, which helps to capture the existing waste management practice in sustainable organizations.

This paper reports a mixed-method approach for sustainable organization. Initially, the waste management and sustainability factors have been linked together for finding the relation between them through the situation, actor, process, learning, action, performance (SAP-LAP) linkages framework; it has been used as qualitative design details to achieve sustainability in the organization. The waste management and sustainability factors linkages have been used as a reference to guide the cause and effect relationship through decision-making trial and evaluation laboratory (DEMATEL) to upgrade knowledge for a sustainable organization.

The proposed method has been used to meet the functional requirements of sustainability in the organization. Waste management has been analyzed as the most significant benchmarks to achieve sustainability in the organization. The causal relationship reveals that the social image of an organization as a sustainable organization is the effect of its governmental directives, followed by the organization. The governmental directives is the most influencing dimension, and waste management efficiency and energy consumption are the most related, whereas wastivity is the most flexible dimension of sustainability in the organization. To increase its customer satisfaction, profit share and market value, these factors must be considered as vital factors of organization's sustainable performance.

The scope of the present research has been limited to benchmark sustainability by analyzing eight waste management factors and ten critical sustainability factors that have been grouped into four dimensions in the service sector, which could be generalized. The expert's view has been captured for DEMATEL based on “ratings provided by experts,” which may be biased.

Benchmarked sustainability factors have been proposed to increase the value and performance of the organization. The cause and effect relationship is useful to present the capability of waste management to act as a strong foundation for establishing a sustainable organization, where governmental directives, wastivity, waste management efficiency, and energy consumption act as the benchmarking factors to compare sustainable organization performance in developing the county's viewpoint. The present study considered the fourth dimension of sustainability “government and customer” as the dynamic dimension of sustainability, which can absorb and diffuse the changes in sustainable organization with time and can improvise social acceptance.

The research improves the existing method of measuring the performance of the sustainable organization by using well-established methods.

The purpose of this paper is synthesis of polyesteramide resin from jatropha oil and monomer from recycling of poly(ethylene terephthalate) (PET) to get the excellent benefit of individual structure. Along with the synthesis of polyesteramide resin, this research work will also help in recycling of PET waste and help for the conversion of monomer obtained from recycling of PET to value-added application.

Polyesteramide resin was synthesized by conventional method, i.e. by converting jatropha oil to corresponding fatty amide, i.e. hydroxyl ethyl jatropha oil fatty acid amide (HEJA), and treating it with dicarboxylic acid, i.e. sebacic acid but bis(2-hydroxyethyl) terepthalamide (BHETA) is added, i.e. monomer of PET, and then resin synthesis is carried out. Synthesized resin is cured with isocyanate and used for coating application. Coating is characterized for physical, mechanical, thermal and anticorrosive properties.

Coating shows excellent balance of flexibility and hardness due to structural difference in BHETA and HEJA. Aromatic structure of BHETA was helpful for increasing hardness and for retardation of degradation, and at the same time, aliphatic structure of HEJA was helpful for increasing flexibility of the coating. Amide linkage present in both help for better adhesion of coating to metal surface, which also helps to improve the mechanical properties and anticorrosive properties.

This method is the practical solution for synthesis of polyesteramide resin and then coating from PET waste and jatropha oil. Hence the method developed is simple and it helps for recycling of PET waste and conversion of recycled product to value-added material.

To the best of the authors’ knowledge, this is the first study which use jatropha oil (fatty amide of jatropha oil) and PET waste (monomer of PET waste) simultaneously for the synthesis of polyesteramide resin and then coating.

The purpose of this paper is to explore the factors that drive consumer love toward a brand and the opportunities a consumer’s love create for a brand in India.

A total of 23 in-depth interviews were conducted with consumers. The interview transcripts were analyzed through thematic analysis using qualitative software Nvivo10.

This paper proposes a conceptual model where respect, brand experience, and brand reputation have been identified as factors driving brand love and affective commitment, consumer citizenship behavior, repurchases intention, consumer forgiveness, and attitude toward the extension as outcomes of brand love.

Consumers bond with brand helps in mitigating the feelings of transgressions by the brand, and also protects brand from negative word of mouth. Consumers who are in love with a brand show positive attitude toward its extensions. These results provide pointers to brand managers on how to protect and expand the business.

The extant brand love research seems to be solely in the western context. To the best of the author’s knowledge, this is the first study of its kind that empirically investigates antecedents and consequences of brand love in India.