Search results

This paper aims to examine how psychological need satisfaction (PNS) relates to the display of servant leadership (SL) behavior through the motivation to serve (MTS) and non-calculative motivation to lead (MTL).

Data were collected using an electronic online questionnaire completed by 125 individuals from various organizations and industries. Data were analyzed using confirmatory factor analysis (CFA) and regression analysis.

PNS, MTS and non-calculative MTL were found to relate positively to the display of SL behavior. Moreover, both MTS and non-calculative MTL were found to mediate fully the relationship between PNS and SL.

This study is one of the first to investigate the motivational antecedents of SL. Moreover, it is the first to empirically study PNS as an antecedent of SL. The findings emphasize the importance of a leader's PNS in their motivation to display SL behavior, implying that a positive work environment is conducive to SL.

The paper aims to examine the characteristic elements of various organizational factors to identify whether a favourable climate for implementing and sustaining cloud computing in Banaras Hindu University library system (BHULS) existed.

After reviewing relevant literature on the topic, a list of 20 factors that affected an organization’s adoption to innovation was prepared. A questionnaire was personally administered to the library professionals engaged in BHULS. Respondents were asked to nominate the level of importance of each factor for validation of cloud computing adoption.

Findings of the paper validate the fact that opportune time for the implementation of cloud computing existed in BHULS. Library staff showed high willingness toward the adoption of the cloud computing and were well prepared to grasp the challenges.

The paper establishes the fact that the benefits of cloud computing are inadequate to convince organizations to migrate from the traditional computing paradigm to the cloud. Technological advancement may not transform the cloud into a mainstream technology. To motivate the expansion of cloud computing adoption, emphasis has to be laid upon collaboration between the cloud service providers supplemented by solid cloud legislations which need to be worked out.

Because no empirical study on the cloud computing in conjunction with academic libraries of India has been carried out before, this paper closes this gap and provides guidelines to migrate to cloud environment. Also, it provides the perceptions of library professionals in response to its adoption.

Brain-drain insurgency has become pervasive amongst professionals and the last option for everyone in the country to realise a sustainable quality of work-life (QWL). All youths now in the country have perceived migrating to the international workspace as a noble idea. This study investigates the incidence of brain-drain and QWL amongst academics in Nigerian universities.

To sparkle a clearer understanding concerning factors preventing the QWL amongst Nigeria's lecturers, this study utilised a cross-sectional research design to survey the participants across all departments in federal institutions through an explanatory research approach. This study applied an array of adapted scales to evaluate members of academic staff track of what provoked the incidence of brain-drain amongst Nigerian lecturers and possible influence on their QWL. The study surveyed 431 members of academic staff in Nigerian universities to collect useful data and employed a structural equation model (SEM) to analyse the obtained data.

The outcome of this study highlights that there is a horrible condition of service amongst Nigerian lecturers, a poor compensation system, poor academic research funding and lack of autonomy are bane to the QWL experienced in Nigerian tertiary institutions today. This study indicates that poor staff development and inadequate university funding are part of the justification that provoked brain-drain insurgence, and allowed the government to lose their skilled and competent egg-heads in the university to other foreign nations of the world.

This study demonstrated that brain-drain has become part of Nigeria's national life given that all professionals are seeking better life where their skills, competence and energy would be valued. Brain-drain was not common until these days amongst academics and fewer studies were noted but this study showed a novel paradigm regarding the QWL and brain-drain trajectory.

There is low adoption rate of existing environmentally sustainable construction frameworks. Contractors have dwindled capability to adapt to environmentally sustainable construction (ESC) towards achievement of SDGs. The aim of this paper is to develop a framework that leverages both theoretical and practical aspects of sustainable construction to enable contractors' adaptation to ESC at the micro level.

Due to the social constructivism orientation of the objectives of this research, abductive approach and qualitative research strategy were adopted. Data were obtained through interviews and validation focus group discussion. Content analysis and thematic template analyses techniques were employed to conduct qualitative data analyses.

There are peculiar ESC barriers that need to be overcome by contractors in the study area. Legislative and financing efforts of stakeholders are key contractors' ESC adaptation drivers. Contractors in less affluent societies, such as Ghana, require high resilience, dense and centralized social network structures and isomorphic and coercive drivers to be able to adapt to ESC.

The scope of this research is limited to the data gathered from large construction firms in Ghana, a developing country in the sub-Saharan region.

This is one of the first papers that provide guidelines on developing capability of contractors in a developing country to adapt to ESC. The paper addresses the challenge in the ecological modernization theory by adducing empirical evidence to prescribe guidelines on how contractors can increase rate of efficiency through collaborative strategies that engender ESC.

This paper follows a systematic literature review (SLR) method covering the published studies until March 2021. The authors have extracted the related studies from different online databases utilizing quality-assessment-criteria. In order to review high-quality studies, 32 papers have been chosen through the paper selection process. The selected papers have been categorized into three main groups, decision-making methods (17 papers), meta-heuristic methods (8 papers) and fuzzy-based methods (7 papers). The existing methods in each group have been examined based on important qualitative parameters, namely, time, cost, scalability, efficiency, availability and reliability.

Cloud computing is known as one of the superior technologies to perform large-scale and complex computing. With the growing tendency of network service users to utilize cloud computing, web service providers are encouraged to provide services with various functional and non-functional features and supply them in a service pool. In this regard, choosing the most appropriate services to fulfill users' requirements becomes a challenging problem. Since the problem of service selection in a cloud environment is known as a nondeterministic polynomial time (NP)-hard problem, many efforts have been made in recent years. Therefore, this paper aims to study and assess the existing service selection approaches in cloud computing.

The obtained results indicate that in decision-making methods, the assignment of proper weights to the criteria has a high impact on service ranking accuracy. Also, since service selection in cloud computing is known as an NP-hard problem, utilizing meta-heuristic algorithms to solve this problem offers interesting advantages compared to other approaches in discovering better solutions with less computational effort and moving quickly toward very good solutions. On the other hand, since fuzzy-based service selection approaches offer search results visually and cover quality of service (QoS) requirements of users, this kind of method is able to facilitate enhanced user experience.

Although the current paper aimed to provide a comprehensive study, there were some limitations. Since the authors have applied some filters to select the studies, some effective works may have been ignored. Generally, this paper has focused on journal papers and some effective works published in conferences. Moreover, the works published in non-English formats have been excluded. To discover relevant studies, the authors have chosen Google Scholar as a popular electronic database. Although Google Scholar can offer the most valid approaches, some suitable papers may not be observed during the process of article selection.

The outcome of the current paper will be useful and valuable for scholars, and it can be a roadmap to help future researchers enrich and improve their innovations. By assessing the recent efforts in service selection in cloud computing and offering an up-to-date comparison of the discussed works, this paper can be a solid foundation for understanding the different aspects of service selection.

Although service selection approaches have essential impacts on cloud computing, there is still a lack of a detailed and comprehensive study about reviewing and assessing existing mechanisms in this field. Therefore, the current paper adopts a systematic method to cover this gap. The obtained results in this paper can help the researchers interested in the field of service selection. Generally, the authors have aimed to specify existing challenges, characterize the efficient efforts and suggest some directions for upcoming studies.

Rich, interactive media are becoming extremely common in internet recruitment systems. The paper investigates the role of media richness in applicants’ ability to learn information relevant to making an application decision. The authors examine these relationships in the context of two competing theories, namely media richness theory and cognitive load theory, which predict opposite relationships with information acquisition. The paper aims to discuss these issues.

Participants (n=471) either viewed a traditional web site or visited an interactive virtual world that contained information about an organization's culture, benefits, location, and job openings. Culture information was manipulated to either portray a highly teams-oriented culture or a highly individual-oriented culture.

Participants who viewed the low-richness site recalled more factual information about the organization; this effect was mediated by subjective mental workload. Richness was not related to differences in culture-related information acquisition.

These findings suggest that richer media (such as interactive virtual environments) may not be as effective as less rich media in conveying information. Specifically, the interactive elements may detract focus away from the information an organization wishes to portray. This may lead to wasted time on the part of applicants and organizations in the form of under- or over-qualified applications or a failure to follow instructions.

This study is among the first to use a cognitive load theory framework to suggest that richer media may not always achieve their desired effect.

The main goal of this paper is to study the cloud service discovery mechanisms. In this paper, the discovery mechanisms are ranked in three major classes: centralized, decentralized, and hybrid. Moreover, in this classification, the peer-to-peer (P2P) and agent-based mechanisms are considered the parts of the decentralized mechanism. This paper investigates the main improvements in these three main categories and outlines new challenges. Moreover, the other goals are analyzing the current challenges in a range of problem areas related to cloud discovery mechanisms and summarizing the discussed service discovery techniques.

Systematic literature review (SLR) is utilized to detect, evaluate and combine findings from related investigations. The SLR consists of two key stages in this paper: question formalization and article selection processes. The latter includes three steps: automated search, article selection and analysis of publication. These investigations solved one or more service discovery research issues and performed a general study of an experimental examination on cloud service discovery challenges.

In this paper, a parametric comparison of the discovery methods is suggested. It also demonstrates future directions and research opportunities for cloud service discovery. This survey will help researchers understand the advances made in cloud service discovery directly. Furthermore, the performed evaluations have shown that some criteria such as security, robustness and reliability attained low attention in the previous studies. The results also showed that the number of cloud service discovery–related articles rose significantly in 2020.

This research aimed to be comprehensive, but there were some constraints. The limitations that the authors have faced in this article are divided into three parts. Articles in which service discovery was not the primary purpose and their title did not include the related terms to cloud service discovery were also removed. Also, non-English articles and conference papers have not been reviewed. Besides, the local articles have not been considered.

One of the most critical cloud computing topics is finding appropriate services depending on consumer demand in real-world scenarios. Effective discovery, finding and selection of relevant services are necessary to gain the best efficiency. Practitioners can thus readily understand various perspectives relevant to cloud service discovery mechanisms. This paper's findings will also benefit academicians and provide insights into future study areas in this field. Besides, the drawbacks and benefits of the analyzed mechanisms have been analyzed, which causes the development of more efficient and practical mechanisms for service discovery in cloud environments in the future.

This survey will assist academics and practical professionals directly in their understanding of developments in service discovery mechanisms. It is a unique paper investigating the current and important cloud discovery methods based on a logical categorization to the best of the authors’ knowledge.