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Knowledge management (KM) is widely adopted by organisations to improve their performance and make informed decisions. Prior research has confirmed that Information Systems (IS) play a critical role in effective KM. The purpose of this study is to examine the existing literature on the role of cloud-based KM systems (C-KMS) in small- and medium-sized enterprise (SMEs) by understanding its impact on the five KM processes: knowledge acquisition, creation, storage, sharing and usage.

This study conducted a systematic literature review by examining 133 journal articles and 24 conference papers from 2010 to 2021 on the role of cloud computing in KM for SMEs.

This study revealed that there are numerous empirical analyses on KM processes and tools in SMEs; however, only few studies demonstrate how the whole gamut of KM processes can adopt cloud computing in SMEs. Therefore, SMEs are ineffective at KM with limited IS intervention. This paper offers a proposition on how C-KMS can impact all five KM process, thereby increasing its effectiveness of KM in SMEs. This study analysed the benefits of C-KMS that brings to SMEs in terms of availability, scalability, reliability, security and cost.

This systematic review is restricted to certain databases (ScienceDirect, Sage journals, Scopus and Emerald Insight) and specific IS conference proceedings to source articles. The selection of search criteria and time frame is based on this study’s assessment and choice. This study adds value to our understanding of the role of KM in SMEs, and it reinforces the role of cloud computing in effectively managing knowledge in SMEs. The proposal of C-KMS for the enhancement of KM has significant implications for SMEs to effectively use knowledge for their survival and superior performance.

This study suggests three practical implications. First, adopting and using C-KMS provide a strong foundation to manage knowledge for SMEs in a cost-effective way. Second, C-KMS improves the effectiveness of KM by increasing availability of knowledge artifacts, which in turn aids SMEs’ growth. Third, C-KMS is useful to codify SME’s knowledge, and accordingly supports employees to acquire and use knowledge based on their requirements.

This study discussed C-KMS with contemporary social issues, such as the COVID-19 pandemic challenges for SMEs and demonstrated how C-KMS can support SMEs to handle such crises by managing knowledge effectively.

This research highlights the importance of the implementation of a C-KMS for the enhancement of KM in SMEs. The review provides empirical evidence on the challenges faced by SMEs regarding KM, as they often only have enough resources to focus on a single KM process, predominantly knowledge sharing. Consequently, a holistic approach to KM cannot be realised by SMEs. In this context, the findings of this study offer theoretical and practical insights into the role of cloud computing by addressing the challenges of KM in SMEs.

Demonstrates the application of spreadsheets in simulating queuing systems with arrivals from a finite population. The problem is referred to as the machine repair problem where the members of the queue are machines that are breaking down and the servers are the technicians repairing the broken machines. The total number of machines are finite and pre‐specified. The technique for the development of the simulation is illustrated with six machines. Describes the approach for developing a generalized simulation model with any number of machines.

Discusses a programme embarked upon by Exel Logistics aimed at improving the effectiveness of the drivers engaged in one of its major store delivery contracts. Examines the Standard Hour Plan developed by DMA (the specialist consultants involved) and how the programme specifically met the needs of that particular contract.

On Inauguration Day 2017, Milo Yiannopoulos gave a talk sponsored by the University of Washington College Republicans entitled “Cyberbullying Isn’t Real.” This chapter is based on participant-observation conducted in the crowd outside the venue that night and analyzes the violence that occurs when the blurring of the boundaries between “free” and “hate” speech is enacted on the ground. This ethnographic examination rethinks relationships between law, bodies, and infrastructure as it considers debates over free speech on college campuses from the perspectives of legal and public policy, as well as those who supported and protested Yiannopoulos’s right to speak at the University of Washington. First, this analysis uses ethnographic research to critique the absolutist free speech argument presented by the legal scholars Erwin Chemerinsky and Howard Gillman. Second, this essay uses the theoretical work of Judith Butler and Sara Ahmed to make claims concerning relationships between speech, vulnerability, and violence. In so doing, this chapter argues that debates over free speech rights on college campuses need to be situated by processes of neoliberalization in higher education and reconsidered in light of the ways in which an absolutist position disproportionately protects certain people at the expense of certain others.

This paper empirically explores the role of skill losses during unemployment behind firms' behaviour in interviewing long-term unemployed

The analysis makes use of the Work Employment Relations Survey in the UK, while it applies a panel probit modelling approach to estimate the empirical findings.

The findings document that skill losses during long-term unemployment reduce the likelihood of an interview, while they emphasize the need for certain policies that could compensate for this deterioration of skills. For robustness check, the estimation strategy survives the examination of the same predictors under different types of the working environment.

The original values of the work 1 combines for the first time both duration and technology as predictors of interview probability. Until now, the independent variables were used to test whether an individual has managed to exit unemployment, thus skipping the step of the interview process.

Working time accounts (WTAs) allow firms to smooth hours worked over time. The purpose of this paper is to analyze whether this increase in flexibility has also affected how firms adjust employment in Germany over the business cycle.

This paper uses rich microeconomic panel data and fixed effects estimations to compare the employment adjustment of firms with and without WTAs.

The authors show that firms with WTAs show a similar separation and hiring behavior in response to revenue changes as firms without WTAs. One possible explanation is that firms without WTAs used short-time work (STW) to adjust hours worked instead. However, the authors find that firms with WTAs use STW more than firms without WTAs.

These findings call into question the popular hypothesis that WTAs were the key driver of the unusually small increase in German unemployment in the Great Recession.

The purpose of this paper is to explore the matching process before and after the Great Recession in the Netherlands. The Dutch case is interesting because it is characterised by increasing matching efficiency.

This paper uses data from 2001 to 2014 to study the Dutch labour market matching process accounting for the three labour market states and their heterogeneities.

The elasticity of hires with respect to the short-term employed was significant, positive and countercyclical, while elasticities relating to new entrants were procyclical. The matching function (MF) displays constant returns to scale (CRTS) when using an alternative labour supply (LS) measure that includes the short-term employed as jobseekers. The findings are at odds with the idea of mismatch and a shortage of skills. Search frictions for employers were lower and vacancies were filled faster. This can be related to the fact that in a loose labour market context with increasing short-term employment, employers increase their hiring of employed workers which generates negative externalities on unemployed.

The implications concern the specification of the MF and the CRTS assumption when using unemployment as a LS measure.

The purpose of this paper is to examine the effects of trade liberalization on gender earning differentials and female labour force participation by considering the interaction between changes in relative wages, intra-household bargaining power and social norms.

A three-sector general equilibrium model is developed where female labour supply is determined as a collective household decision and depends on male and female wages and intra-household power distribution. On the other hand, the effect of power distribution on female labour supply depends on social norms.

Comparative static analysis shows that a tariff cut may reduce female labour force participation and widen gender earning inequality if (i) the agricultural sector is more male labour-intensive than the informal sector, and the marginal utility of the woman from household work is higher than that of the man or (ii) the agricultural sector is more female labour-intensive than the informal sector, and the marginal utility of the woman’s household work is higher to the man than the woman. Policies to raise the empowerment of women might lead to favourable labour market outcomes for women if the marginal utility of the woman’s household work is higher to the man than the woman irrespective of the factor intensity condition.

The results signify that the effect of trade liberalization hinges on both factor intensity conditions and the relative work preferences of women vis-à-vis men, which in turn is shaped by social norms.

The paper contributes to the scant theoretical literature on labour market consequences of trade liberalization by considering the gender equality implications of trade liberalization from a supply side perspective. The results of the model are used to explain the recent gendered labour market consequences in India in the aftermath of trade liberalization.

Libraries need to develop information processing systems for evaluation, budgeting, planning, and operations. Electronic spreadsheets lend themselves to a variety of applications, but are time‐consuming to create. A model template and macros that can be used in many different types of library data analysis have been developed here. The procedures demonstrated here can build an essential set of tools for meeting fundamental goals of administrative efficiency, effective use of library resources, staff motivation, and rational policy making.

It is increasingly important to study labour market outcomes for people who are not in employment, education, or training (NEET). Where most studies focus solely on young people, the purpose of this paper is to include both younger and older NEETs to find out if there is any long-term scarring effect, and if the effect is different between these two groups.

This study uses a twin-based estimation method for the first time to measure the long-term effect of economic inactivity on income. The analysis is based on biological twins, in order to control for individuals’ unobservable heterogeneity. It is assumed that twins are similar to each other and the only unobservable heterogeneity is at the family level. Register-based data from Statistics Sweden is used.

The result indicates a significant negative income effect for those who have been in NEET, and is larger for those who have been in NEET for several consecutive periods of time. Individuals who were in NEET during 2001-2003 had on average 62 per cent lower income compared with their twin in 2011. The corresponding number for individuals who were in NEET for just one period was 33 per cent. Hence, time in NEET reduces income. The results show that the long-term scarring effect is not affected by age.

This study utilises for the first time a twin-based estimation method to measure the long-term effect of inactivity. Most studies focus solely on young people, but the authors also include an older group of people.