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The purpose of this paper is to study triadic market relations between an international aid agency (IAA), local ventures and the poor communities where they are embedded in order to shift the poverty alleviation discussion to account for the perceptions held by each category of actor, especially those of poor communities. Poverty alleviation is a key commitment of the United Nations, and market-driven approaches are increasingly advocated as a means to reduce poverty, particularly among IAAs. One such strategy is to connect ventures in poor communities with international markets. However, research shows that such approaches have mixed success.

The authors conducted a comparative case study of three ventures embedded in urban and rural poor communities receiving support from an IAA. The authors then analyzed the data to determine the mechanisms that led to discrepancies in the perceptions of poverty alleviation held by each actor involved.

This study suggests three such mechanisms: ‘decoupling markets from poverty’, wherein aiding ventures may paradoxically lead to decoupling them from poor communities; ‘overburden stress’, in which ventures cannot fulfil a poverty alleviation role through their market activities because the expectation to do so overburdens the venture; and ‘value divergence’, in which the actors involved evaluate the impact of these approaches differently.

The authors propose that a key aspect of enabling effective poverty alleviation through market-driven approaches in terms of substantial, long-term contributions is to monitor and support the relations between the actors involved – including the poor communities themselves – and explore how each perceives the efficacy of the approach.

El objetivo de nuestro estudio es integrar las percepciones de tres actores: los organismos internacionales, los emprendimientos en comunidades pobres y las propias comunidades pobres, con el fin de cambiar la discusión sobre la reducción de la pobreza hacia las percepciones de los diferentes actores involucrados en las relaciones de mercado, en particular las de las comunidades pobres. La reducción de la pobreza es un compromiso clave de las Naciones Unidas, y en la actualidad se promueven enfoques de mercado como un medio para reducir la pobreza, especialmente entre los organismos internacionales. Una estrategia consiste en conectar emprendimientos en comunidades pobres con mercados internacionales. Sin embargo, investigaciones previas muestran que estos enfoques de mercado tienen un éxito variado en ciertas ocasiones y en otras no.

Realizamos un estudio de casos comparativo de tres emprendimientos en comunidades pobres urbanas y rurales que reciben apoyo de un organismo internacional. Luego, analizamos nuestros datos para determinar qué mecanismos condujeron a discrepancias en las percepciones de cada actor involucrado con respecto a la reducción de la pobreza.

Nuestro estudio identifica tres mecanismos que explican las discrepancias en las percepciones de los actores involucrados con respecto a los enfoques de mercado para la reducción de la pobreza: ‘desvinculación de los mercados de la pobreza’, en donde el apoyo a los emprendimientos puede llevar paradójicamente a separarlos de las comunidades pobres; ‘estrés de sobrecarga’ que captura situaciones en las que los emprendimientos no pueden cumplir su función de reducción de la pobreza a través de sus actividades en el mercado debido a que la expectativa de hacerlo, aunque implícita, sobrecarga al emprendimiento; y ‘divergencia de valores’ que muestra que los actores involucrados a menudo evalúan de manera diferente el impacto de los enfoques de mercado en la pobreza.

Proponemos que un aspecto clave de la reducción efectiva de la pobreza a través de enfoques de mercado que hagan contribuciones sustanciales y a largo plazo es monitorear las relaciones y la eficacia percibida entre todos los actores involucrados en estos enfoques, incluyendo a las propias comunidades pobres.

El objetivo de nosso estudo é integrar as percepções de três atores: os organismos internacionais, os empreendimentos em comunidades pobres e as próprias comunidades pobres, com o objetivo de mudar a discussão sobre a redução da pobreza para as percepções dos diferentes atores envolvidos nas relações de mercado, particularmente as das comunidades pobres. A redução da pobreza é um compromisso chave das nações unidas, e atualmente abordagens de mercado são promovidas como um meio para reduzir a pobreza, especialmente entre os organismos internacionais. Uma estratégia consiste em conectar empreendimentos em comunidades pobres com mercados internacionais. No entanto, pesquisas anteriores mostram que essas abordagens de mercado têm sucesso variado em algumas ocasiões e em outras não.

Realizamos um estudo de casos comparativo de três empreendimentos em comunidades pobres urbanas e rurais que recebem apoio de um organismo internacional. Em seguida, analisamos nossos dados para determinar quais mecanismos levaram a discrepâncias nas percepções de cada ator envolvido em relação à redução da pobreza.

Nosso estudo identifica três mecanismos que explicam as discrepâncias nas percepções dos atores envolvidos em relação às abordagens de mercado para a redução da pobreza: ‘desvinculação dos mercados da pobreza’, onde o apoio aos empreendimentos pode paradoxalmente separá-los das comunidades pobres; ‘estresse de sobrecarga’ que captura situações em que os empreendimentos não podem cumprir sua função de redução da pobreza por meio de suas atividades no mercado devido à expectativa de fazê-lo, mesmo que implicitamente, sobrecarregando o empreendimento; e ‘divergência de valores’ que mostra que os atores envolvidos frequentemente avaliam de maneira diferente o impacto das abordagens de mercado na pobreza.

Propomos que um aspecto-chave da redução efetiva da pobreza por meio de abordagens de mercado que façam contribuições substanciais e a longo prazo é monitorar as relações e a eficácia percebida entre todos os atores envolvidos nessas abordagens, incluindo as próprias comunidades pobres.

The purpose of this paper is to explain how enterprise resource planning (ERP) implementation evolves by cloud computing in different industries with different delivery models of cloud ERP. This paper also investigates infrastructure as a service (IaaS) as a delivery approach for cloud ERP. Case research on IaaS is rarely found in the literature. In addition, this paper intends to reveal how this transformation from on-premises to the cloud would influence the ERP implementation process.

A multiple-case study is conducted to identify the different deployed models of cloud ERP systems in the implementation projects. The influences of emerging cloud computing technology on ERP implementation are investigated by interviewing consultants related to the projects.

The findings illustrate that not only software as a service (SaaS) but also IaaS and platform as a service cloud computing services are widely applied in cloud ERP implementation. This study also indicates that certain technical limitations of cloud ERP might have a positive effect on the outcome of ERP implementation.

This study investigates how cloud computing influences ERP implementation from different aspects. The result identifies both SaaS and IaaS as two different approaches widely adopted in cloud ERP implementation. Besides, this study has discussed in-depth and analyzed these two cloud ERP paradigms in five factors, including functionality, performance, portability, security, cost and customization. The classification and suggestions are original to the literature.

Digital technologies create myriad innovation opportunities and have inspired the establishment of many new start-ups in recent years. Despite the growing knowledge on digital entrepreneurship, few studies explore how start-ups exploit these opportunities to achieve entrepreneurial success. The purpose of this paper is to explore start-ups’ capabilities for successful delivery of digital artefacts in a cloud computing infrastructure.

Empirical data were collected during a qualitative case study of an established start-up in the Chinese market by interviewing 41 interviewees. Informed by the notion of dynamic capabilities and using the Gioia methodology, the case firm's life cycle was analysed in detail.

The study identifies start-ups’ ordinary and dynamic capabilities for successful development and delivery of digital services. The findings provide insights into a portfolio of start-ups’ capabilities, namely adaptation, networking, reengineering and refinement.

The study suggests that start-ups’ capabilities and underlying entrepreneurial actions determine the degree to which adoption of digital technologies create and transfer value to customers. The study offers specific insights into how start-ups successfully develop and deliver digital artefacts in a cloud infrastructure based on entrepreneurs' prior expertise, vision and accumulated experience.

The purpose of this article is to provide information about interactions between pink-pigmented facultative methylotroph (PPFM) organisms and plants, their molecular mechanisms of methylotrophic metabolism, application of PPFMs in agriculture, biotechnology and bioremediation and also to explore lacuna in PPFMs research and direction for future research.

Research findings on PPFM organisms as potent plant growth promoting organisms are discussed in the light of reports published by various workers. Unexplored field of PPFM research are detected and their application as a new group of biofertilizer that also help host plants to overcome draught stress in poorly irrigated crop field is suggested.

PPFMs are used as plant growth promoters for improved crop yield, seed germination capacity, resistance against pathogens and tolerance against drought stress. Anti-oxidant and UV resistant properties of PPFM pigments protect the host plants from strong sunshine. PPFMs have excellent draught ameliorating capacity.

To meet the ever increasing world population, more and more barren, less irrigated land has to be utilized for agriculture and horticulture purpose and use of PPFM group of organisms due to their draught ameliorating properties in addition to their plant growth promoting characters will be extremely useful. PPFMs are also promising candidates for the production of various industrially and medicinally important enzymes and other value-added products. Wider application of this ecofriendly group of bacteria will reduce crop production cost thus improving economy of the farmers and will be a greener alternative of hazardous chemical fertilizers and fungicides.

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The global market for cloud gaming is growing rapidly. How gamers evaluate the service quality of this emerging form of cloud service has become a critical issue for both researchers and practitioners. Building on the literature on service quality and software as a service, this study develops and validates a gamer-centric measurement instrument for cloud gaming service quality.

A three-step measurement instrument development process, including item generation, scale development and instrument testing, was adopted to conceptualize and operationalize cloud gaming service quality.

Cloud gaming service quality consists of two second-order constructs of support service quality and technical service quality with seven first-order dimensions, namely rapport, responsiveness, reliability, compatibility, ubiquity, smoothness and comprehensiveness. The instrument exhibits desirable psychometric properties.

Practitioners can use this new measurement instrument to evaluate gamers' perceptions toward their service and to identify areas for improvement.

This study contributes to the service quality literature by utilizing qualitative and quantitative approaches to develop and validate a new measurement instrument of service quality in the context of cloud gaming and by identifying new dimensions (compatibility, ubiquity, smoothness and comprehensiveness) specific to it.

Cloud computing, a dominant technology, significantly impacts organizations, necessitating talent management strategies for sustained growth. This study aims to explore the impact of cloud adoption on large French organizations through a “learning organization” perspective.

Interviews were conducted with business and IT stakeholders from 35 multinational organizations in France.

Cloud services have a high impact on large organizations, leading to a demand for cloud-related skills, a power shift from IT to business departments and increased shadow IT activities. Effective utilization requires organizational learning and a change management project, transforming organizations into productive and innovative learning organizations.

This paper contributes to cloud computing, organizational learning and talent management literature, offering managers a novel approach to handling cloud services.

The current era of the fourth industrial revolution has attracted significant research on the use of digital technologies in improving construction project delivery. However, less emphasis has been placed on how these digital tools will influence the management of the construction workforce. To this end, using a review of existing works, this chapter explores the fourth industrial revolution and its associated technologies that can positively impact the management of the construction workforce when implemented. Also, the possible challenges that might truncate the successful deployment of digital technologies for effective workforce management were explored. The chapter submitted that implementing workforce management-specific digital platforms and other digital technologies designed for project delivery can aid effective workforce management within construction organisations. Technologies such as cloud computing, the Internet of Things, big data analytics, robotics and automation, and artificial intelligence, among others, offer significant benefits to the effective workforce management of construction organisations. However, several challenges, such as resistance to change due to fear of job loss, cost of investment in digital tools, organisational structure and culture, must be carefully considered as they might affect the successful use of digital tools and by extension, impact the success of workforce management in the organisations.

The purpose of this paper is to try to reach the main factors that could put national security at risk as a result of government cloud computing programs.

The paper adopts the analytical approach to first lay foundations of the relation between national security, cybersecurity and cloud computing, then it moves to analyze the main vulnerabilities that could affect national security in cases of government cloud computing usage.

The paper reached several findings such as the relation between cybersecurity and national security as well as a group of factors that may affect national security when governments shift to cloud computing mainly pertaining to storing data over the internet, the involvement of a third party, the lack of clear regulatory frameworks inside and between countries.

Governments are continuously working on developing their digital capacities to meet citizens’ demands. One of the most trending technologies adopted by governments is “cloud computing”, because of the tremendous advantages that the technology provides; such as huge cost-cutting, huge storage and computing capabilities. However, shifting to cloud computing raises a lot of security concerns.

The value of the paper resides in the novelty of the topic, which is a new contribution to the theoretical literature on relations between new technologies and national security. It is empirically important as well to help governments stay safe while enjoying the advantages of cloud computing.

This paper aims to provide a literature review on the cloud-based platforms for the education sectors. The several aspects of cloud computing adoption in education, remote/distance learning and the application of cloud-based design and manufacturing (CBDM) have been studied and theorised.

A four-step methodology was adopted to analyse and categorise the papers obtained through various search engines. Out of 429 research articles, 72 papers were shortlisted for the detailed analysis.

Many factors that influence cloud computing technology adoption in the education sector have been identified in this paper. The research findings on several research items have been tabulated and discussed. Based on the theoretical research done on cloud computing for education, cloud computing for remote/distance learning and CBDM, cloud computing could enhance the educational systems in mainly developing countries and improve the scope for remote/distance learning.

This study is limited to papers published only in the past decade from 2011 to 2020. Besides, this review was unable to include journal articles published in different languages. Nevertheless, for the effective teaching and learning process, this paper could help understand the importance and improve the process of adopting cloud computing concepts in educational universities and platforms.

This study is a novel one as a research review constituting cloud computing applications in education and extended for remote/distance learning and CBDM, which have not been studied in the existing knowledge base.

Cloud computing services gained huge attention in recent years and many organizations started moving their business data traditional server to the cloud storage providers. However, increased data storage introduces challenges like inefficient usage of resources in the cloud storage, in order to meet the demands of users and maintain the service level agreement with the clients, the cloud server has to allocate the physical machine to the virtual machines as requested, but the random resource allocations procedures lead to inefficient utilization of resources.

This thesis focuses on resource allocation for reasonable utilization of resources. The overall framework comprises of cloudlets, broker, cloud information system, virtual machines, virtual machine manager, and data center. Existing first fit and best fit algorithms consider the minimization of the number of bins but do not consider leftover bins.

The proposed algorithm effectively utilizes the resources compared to first, best and worst fit algorithms. The effect of this utilization efficiency can be seen in metrics where central processing unit (CPU), bandwidth (BW), random access memory (RAM) and power consumption outperformed very well than other algorithms by saving 15 kHz of CPU, 92.6kbps of BW, 6GB of RAM and saved 3kW of power compared to first and best fit algorithms.

The proposed multi-objective bin packing algorithm is better for packing VMs on physical servers in order to better utilize different parameters such as memory availability, CPU speed, power and bandwidth availability in the physical machine.