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The advancements in the cloud computing has gained the attention of several researchers to provide on-demand network access to users with shared resources. Cloud computing is important a research direction that can provide platforms and softwares to clients using internet. However, handling huge number of tasks in cloud infrastructure is a complicated task. Thus, it needs a load balancing (LB) method for allocating tasks to virtual machines (VMs) without influencing system performance. This paper aims to develop a technique for LB in cloud using optimization algorithms.

This paper proposes a hybrid optimization technique, named elephant herding-based grey wolf optimizer (EHGWO), in the cloud computing model for LB by determining the optimal VMs for executing the reallocated tasks. The proposed EHGWO is derived by incorporating elephant herding optimization (EHO) in grey wolf optimizer (GWO) such that the tasks are allocated to the VM by eliminating the tasks from overloaded VM by maintaining the system performance. Here, the load of physical machine (PM), capacity and load of VM is computed for deciding whether the LB has to be done or not. Moreover, two pick factors, namely, task pick factor (TPF) and VM pick factor (VPF), are considered for choosing the tasks for reallocating them from overloaded VM to underloaded VM. The proposed EHGWO decides the task to be allocated in the VM based on the newly derived fitness functions.

The minimum load and makespan obtained in the existing methods, constraint measure based LB (CMLB), fractional dragonfly based LB algorithm (FDLA), EHO, GWO and proposed EHGWO for the maximum number of VMs is illustrated. The proposed EHGWO attained minimum makespan with value 814,264 ns and minimum load with value 0.0221, respectively. Meanwhile, the makespan values attained by existing CMLB, FDLA, EHO, GWO, are 318,6896 ns, 230,9140 ns, 1,804,851 ns and 1,073,863 ns, respectively. The minimum load values computed by existing methods, CMLB, FDLA, EHO, GWO, are 0.0587, 0.026, 0.0248 and 0.0234. On the other hand, the proposed EHGWO with minimum load value is 0.0221. Hence, the proposed EHGWO attains maximum performance as compared to the existing technique.

This paper illustrates the proposed LB algorithm using EHGWO in a cloud computing model using two pitch factors, named TPF and VPF. For initiating LB, the tasks assigned to the overloaded VM are reallocated to under loaded VMs. Here, the proposed LB algorithm adapts capacity and loads for the reallocation. Based on TPF and VPF, the tasks are reallocated from VMs using the proposed EHGWO. The proposed EHGWO is developed by integrating EHO and GWO algorithm using a new fitness function formulated by load of VM, migration cost, load of VM, capacity of VM and makespan. The proposed EHGWO is analyzed based on load and makespan.

This aim of this paper is to examine the existing gender digital inclusion evaluation guidance and proposes future research recommendations for their evaluation. Despite modern progress in towards gender equality and women’s empowerment movements, women’s access to, use of and benefits from digital technologies remain limited owing to economic, social and cultural obstacles. Addressing the existing gender digital divide is critical in the global efforts towards the United Nations’ Sustainable Development Goals (SDGs). In recent years, there has been a global increase of gender digital inclusion programmes for girls and women; these programmes serve as a mechanism to learn about gender-specific digital needs and inform future digital inclusion efforts. Evaluation reports of gender digital inclusion programmes can produce critical insights into girls’ and women’s learning needs and aspirations, including what works and what does not when engaging girls and women in information and communications technologies. While there are many accounts highlighting the importance of why gender digital inclusion programmes are important, there is limited knowledge on how to evaluate their impact.

The thematic analysis suggests three points to consider for the gender digital inclusion programmes evaluation: context-specific understanding of gender digital inclusion programmes; transparency and accountability of the evaluation process and its results; and tensions between evaluation targets and empowerment of evaluation participants.

The thematic analysis suggests three points of future focus for this evaluation process: context-specific understanding of gender digital inclusion programmes; transparency and accountability of the evaluation process and its results; and tensions between evaluation targets and empowerment of evaluation participants.

The authors propose recommendations for gender digital inclusion evaluation practice and areas for future research.

This paper aims to present a hybrid logical-arithmetic approach for selecting optimal flight routes. It can be used in the framework of free route airspace (FRA), which is aimed at achieving higher efficiency of air traffic management.

At the first stage, an initial subset of flight routes is selected that are promising alternatives with respect to single numerical criteria. At the second stage, a hybrid multicriteria decision model is constructed, consisting of numerical criteria and additional linguistic criteria. At the third stage, the numerical and linguistic criteria are integrated into a crisp decision matrix for determining the final ranking using the technique for order preferences by similarity to an ideal solution (TOPSIS) method.

The considered decision-making problem involves different kinds of criteria. Numerical (objective) criteria are given as real numbers. Linguistic (subjective) criteria are expressed with the help of fuzzy linguistic values. In consequence, a (logical) reasoning process prior to performing an (arithmetic) optimization procedure is necessary. Furthermore, a uniform optimization procedure requires a way of combining numerical and linguistic attributes.

The proposed approach can be applied to solving various multicriteria decision-making problems, where both objective and subjective criteria are taken into account.

First, a fuzzy information system that includes linguistic condition attributes is constructed. Second, a fuzzy inference system that is necessary for determining the resulting fuzzy criterion “turbulence conditions” for all flight routes is introduced. Finally, a way of combining numerical and linguistic criteria is proposed. This is done by converting values of fuzzy attributes into crisp ones, basing on the preferences of a decision-maker.

Together with increasing ambiguity and frequency of changes, management becomes full of seemingly conflicting choices, i.e. paradoxes, coming up in the process of decision-making. Successful management of paradoxes, i.e. treating them as “both/and” constructs leads to innovative solutions and better overall organizational performance. In response to a significant research gap regarding antecedents of managing paradoxes, the aim of the paper is to investigate how individual characteristics of strategic decision-makers, specifically their age, tenure and educational background, affect the ability to combine contradictions in their strategic choices.

An empirical study was conducted among 201 managers representing furniture companies in Poland. The CATI technique with an interview questionnaire was adopted in order to identify respondents' opinions on the main features, traits and dimensions of the strategy implemented in their companies. Participants' tenure, age and education were measured by single items.

The study suggests that the ability to manage paradoxes increases with age and tenure in a company and at a current position. At the same time economic/business educational background appears to be unsupportive in this regard.

While the issue of managing paradoxes energizes researchers in various disciplines, we still do not know much about antecedents of the process. The study shed light on effects that managers' demographics have on their ability of managing paradoxes. It contributes to the theory on strategic paradoxes as well as theory on the influence of decision-makers' individual characteristics on their decisions.

This study examines what is the significance of the features of inter-organizational relationships in consecutive phases of the relationship life cycle.

Qu antitative, large-scale surveying was run on 786 software developers operating in Poland. The research hypothesis regarding the systematic increase of relational features (i.e. commitment, communication, (lack of) conflict, cooperation, intensity, investments, longevity, multidimensionality of bonds, trust, and velocity) across the particular relationship life cycle phase le (i.e. initial, development, maintenance, dormant/end, and reactivation) was verified using ANOVA and post-hoc tests.

The results show that the majority of considered features of inter-organizational relationships non-significantly but progressively strengthen from the initial phase, through the development phase, to the maintenance phase, then significantly weaken in the dormant/end phase and strengthen again in the reactivation phase. Interestingly, velocity–as the only examined feature–significantly increases in dormant/end and then decreases if the relationship is reactivated.

Prior studies were focusing on single feature, this one offers a holistic view considering ten relational facets. Moreover, this is one of the few research studies exploring the changes of relational features adopting the life cycle perspective.

Frailty is a geriatric syndrome which can be reversible or less severe through appropriate nutritional interventions. In the present study, to test the efficiency of individualized nutritional intervention was conducted a comprehensive assessment of the nutritional status of frail older adults and evaluation of the effect of nutritional intervention on the nutritional status of pre-frail older patients.

Frail older adults (n = 43; mean age 84.6 ± 6.4 years old; 81.4% women) had nutritional status assessed using nutritional anthropometry, body composition, and food frequency questionnaire. Pre-frail patients (n = 16; mean age 68.4 ± 5.5 years old; 81.3% women) for eight weeks were consuming 1.0 g protein/kg BW/day. Robust older adults formed a control group (n = 29; mean age 69.3 ± 5.3 years old; 82.8% women).

Frail older adults had weight and muscle mass loss, and their diet variety was sufficient. After the intervention, pre-frail patients increased their protein consumption by 25.8% (P = 0.002). An increase in lean body mass (+1.0 kg), skeletal muscle mass (+0.3 kg) and improvement in physical performance was also observed.

An individual diet for pre-frail older adults can reverse weight loss and increase lean body mass, furthermore preventing or delaying the development of frailty syndrome. Moreover, increased protein consumption improves physical performance of pre-frail older adults.

The purpose of this paper is to explore the ethnically diverse workplace in Irish hospitals by examining the perspectives of foreign- and Irish-born professionals and their managers.

Semi-structured qualitative interviews with 30 health professionals (foreign- and Irish-born) and with hospital managers (Irish-born). All interviews were transcribed and analysed using thematic analysis.

The managers and professionals interviewed mostly perceived ethnically diverse workplaces as an asset. Health professionals also identified a number of challenges, including internal divisions based on ethnicity, language and communication problems and cultural differences. However, in general, discrimination on the basis of ethnicity was not highlighted by interviewees.

While the qualitative design of the study allowed for an in-depth exploration of experiences in ethnically diverse workplaces in selected Irish hospitals, the relatively small sample size poses some limitations. The study brings to light the need for larger-scale survey-based research on the ethnically diverse workplace in Irish hospitals, which includes Irish- and foreign-born health professionals in the sample.

The study includes a variety of perspectives on experiences in ethnically diverse workplaces in Irish hospitals, including foreign-born health professionals, their Irish-born colleagues and hospital managers.

This paper aims to summarize a new alert issued by the Securities and Exchange Commission’s (SEC’s) Office of Compliance Inspections and Examinations (“OCIE”), highlighting the most common compliance issues relating to Rule 206(4)-1 (the “Advertising Rule”) under the Investment Advisers Act of 1940 (the “Advisers Act”).

This study describes the compliance issues highlighted in the risk alert. OCIE identified these compliance issues as part of its “Touting Initiative,” an examination initiative launched in 2016 to examine the adequacy of disclosures that advisers provided to their clients when touting awards, promoting ranking lists and/or identifying professional designations (collectively, “accolades”) in their marketing materials. The OCIE based its findings on deficiency letters resulting from over 1,000 adviser examinations.

The risk alert provides guidance to advisers who are reviewing the adequacy and effectiveness of their compliance programs in light of the Advertising Rule.

This study provides practical guidance from experienced investment-fund lawyers. Although most experienced people in the industry will not be shocked by anything in the alert, the alert is a helpful reminder about the SEC’s continuing focus on these issues.

This chapter aims to explore Polish experiences of school-to-school collaboration (SSC): a mosaic of dynamic interplay between history, culture, politics, economics, and education. Starting with a diagnosis of Poland’s education system as ‘fatalist’ via the lens of the cohesion/regulation matrix, this chapter reveals the complex nature of SSC in this country, which is underpinned by conflicting logics: the decentralized education system, the state’s desire for control over that system’s key mechanisms, and the heavily capitalistic influence of neoliberal pressures. Then, drawing on data from available policy reports and legal acts, as well as the authors’ own research experiences, this chapter offers some insights on promising policy developments and examples of good practices in SSC at national and international levels. Furthermore, this chapter identifies possible barriers that block the full utilization of the potential inherent in collaboration between schools. These include formal/legal barriers (e.g. lack of policies regulating the collaboration between schools, unstable education policy after 1989, and competition between schools) and normative/cultural barriers (e.g. lack of long-standing tradition and experience of cooperation between schools, the bureaucratic school management model, and lack of cooperation skills among the main stakeholders). This chapter concludes with a discussion of some key lessons for policy and practice in tangibly harnessing the potential of SSC as a means of addressing current education challenges in Poland.

Despite the multitude of publications concerning the process maturity assessment models applied in the private sector, the matter of the choice of a process maturity assessment model is not so unambiguous in the public sector. The goal of this article is to identify process maturity assessment models applicable to the public sector.

Literature review, enabling identification of process maturity assessment models applicable to the public sector. Comparative analysis, making it possible to identify the advantages and disadvantages of the selected maturity assessment models.

Models enabling assessment of process maturity and e-government maturity applicable to the public sector have been identified. Potential benefits and limitations specific to the analysed models have been established.

The publication indicates which process maturity assessment models can be successfully applied in the public sector. As such, it provides important support for the public sector in the decision-making process concerning the choice and implementation of a specific process maturity assessment model.

This is one of the few study which refers to a comprehensive review and analysis of process maturity assessment models applicable to the public sector. As the relevant contribution, it clarifies the relationships and differences between process and e-government maturity assessment models. This study provides important aid to both practitioners and theorists in terms of the selection of a process maturity assessment model against specific research needs.