Search results

As the storage and processing requirement of digital information is increasing on the cloud, it is very difficult for the single cloud provider (CP) to meet the resource requirement. Multiple providers form a federation for the execution of users’ requests. For the federated cloud, this paper aims to address the issue distribution of users’ request for resources and revenue among the providers by offering fair and stable distribution models for the federated cloud.

This paper uses cooperative game (CG)-theoretical models, i.e. Shapley–Shubik power index (SSPI) and Banzhaf power index (BPI) for distribution. Performance is analysed using variance and monotonicity using a case study.

Numerical analysis is done using two scenarios. Monotonicity is evaluated. Results show that SSPI performs better as compared to BPI in terms of fairness accuracy and the framework provide the fair distribution of revenue among providers in the federated cloud.

The proposed framework works efficiently under the specific defined conditions.

Paper provides the fair distribution. It assist the centralised cloud exchange in managing the users’ request in such a way every CPs, in the federated cloud will get an equal chance of serving the users’ request. The framework also provides the stable federation. Proposed work provides less rejection rate of users’ request. Finally, it assists the providers in increasing their profits in the federation.

This paper presents a CG theoretic-based framework for the distribution of resources required and revenue. The framework analysed the performance of distribution models by considering the variance and monotonicity for multiple users’ requests.

In today’s digital era, data pertaining to scientific research have attracted considerable attention of researchers. Data of scientific publications can be modeled in the form of networks such as citation networks, co-citation networks, collaboration networks, and others. Identification and ranking of important nodes in such networks is useful in many applications, such as finding most influential papers, most productive researchers, pattern of citation, and many more. The paper aims to discuss this issue.

A number of methods are available in literature for node ranking, and K-shell decomposition is one such method. This method categorizes nodes in different groups based on their topological position. The shell number of a node provides useful insights about the node’s importance in the network. It has been found that shells produced by the K-shell method need to be further refined to quantify the influence of the nodes aptly. In this work, a method has been developed, which ranks nodes by taking the core(s) as the origin and second-order neighborhood of a node as its immediate sphere of influence.

It is found that the performance of the proposed technique is either comparable or better than other methods in terms of correctness and accuracy. In case of assigning different ranks to nodes, the performance of the proposed technique is far more superior to existing methods. The proposed method can be used to rank authors, research articles, and fields of research.

The proposed method ranks nodes by their global position in a network as well as their local sphere of information. It leads to better quantification of a node’s impact. This method is found to be better in terms of accuracy and correctness. In case of assigning different ranks to nodes, the performance of the proposed technique is far more superior to existing methods.

The proliferation of bibliometric review articles is a true reflection of how bibliometrics is gaining popularity and has been widely adopted in various disciplines. The growing interest of scholars has encouraged us to dwell upon the what, why, when, how, and where of bibliometric literature reviews. The study explained the bibliometric review with the standpoint that it can be considered a strong review method for analyzing a large volume of data and scholars can supplement their traditional reviews with bibliometric reviews to strengthen their knowledge. This will help researchers to justify the (a) need for a study on the particular topic; (b) type or method of review chosen; (c) number of articles selected; (d) inclusion and exclusion criterion; (e) method of analysis; and (f) presentation of the findings.

To overcome and solve the problems of all the research community, in this chapter we offer everyone to focus on the Planning, Operationalizing, Writing, Embedding, and Reflecting (POWER) framework of conducting literature review. The framework guides the scholarly community on how to create and evaluate literature review papers to overcome the merit dilemma on the contribution made by review papers. With the sole focus toward review of literature, we are pleased to present “Review of Management Literature (RoML)” and introducing the first volume. This chapter and volume answers the present tensions accruing in the existing literature as well as present strategies on bridging the gaps. The chapters included in the first volume belong to emerging research areas such as marketing, human resources, international businesses, supply chain management, artificial neural network, luxury consumption, financial technology (FINTECH), mergers and acquisition, social media platforms like Instagram, cultural diversity, services, sustainability, quality 4.0, entrepreneurial ecosystem, and dividend decisions. The first volume is going to be useful to scholars in exploring future research areas across business management disciplines.

With a population of 472 million, Generation Z in India is the largest in the world. This chapter studies the demographic breakdown of the members of Generation Z, their political and social concerns, their career aspirations, their workplace preferences, and the changing consumer attributes. The research design for this study incorporated a qualitative approach comprising of four focus group discussions (see Appendix). Members of Generation Z in India show common behaviours and preferences with their counterparts around the world. However, members of Generation Z in India have clear opinions and ideas of how youth can contribute to a developing nation like India.

Digitalization, financial technologies and the internet have rapidly advanced the business ecosystem posing a disruptive threat to how operations are fundamentally performed. Global hospitality and tourism companies face this challenge and have been early adopters in this field. This study aims to examine the role of blockchain technology in strengthening the marketing mix (product, price, place and promotion) and the its related impacts on the tourism industry.

This research adopts a systematic literature review approach to synthesize and assess the literature published on blockchain in tourism and tends to build a conceptual framework that depicts the relationships between different constructs.

The results show a lot of interest in using blockchain technology due to numerous advantages to tourism industry. This innovative technology can change this sector radically; assist small economies in strengthening and transitioning to the level of developed economies; and assist tourism companies in eliminating corruption, establishing a secure network and promoting equality between small and large entities.

Through industry examples demonstrating real-life use cases such as startups operating on the application of blockchain in tourism, to the best of the authors’ knowledge, this paper is a first attempt to draw the impact of blockchain technology on product, price, place, promotion (4Ps) in tourism sector. The proposed nine relationships can facilitate the future researchers in advancing the state-of-art on how blockchain-based technologies can shape the customers experience through promoting confidentiality, co-creation and effective destination planning.

This study explores the relationships among sustainability implementation barriers (resource, managerial and regulatory barriers), sustainability practices (sustainable construction materials, sustainable construction design, modern construction methods and environmental provisions and reporting) and sustainability performance (environmental, economic and social) in hill road construction (HRC).

Primary data were collected from the 313 HRC practitioners with the help of a questionnaire, and research hypotheses were tested employing structural equation modeling.

The findings reveal a mixed effect of sustainability implementation barriers. Resource (managerial) barriers are negatively related to all practices except environmental provisions and reporting (sustainable construction materials), while regulatory barriers only negatively impact modern construction methods. On the other hand, all sustainability practices positively impact environmental performance, whereas economic (social) performance is positively influenced by all practices, except environmental provisions and reporting (modern construction methods), and positively affects economic performance.

In order to transform HRC toward sustainability, the barriers to sustainability implementation, sustainability practices and performance need to be understood by practitioners; however, the relationships have not previously been empirically assessed in extant literature. Besides, past research appears to be predominantly focused on the environmental aspect, thereby neglecting economic and social aspects. This study is a modest attempt to bridge these research gaps.