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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.

The purpose of this paper is to investigate the factors influencing the leadership effectiveness of hospital managers in Iran.

Top managers (15), middle managers (10) and operational managers (5) of public, private or social security hospitals in Tehran participated in a qualitative study using semi-structured in-depth interviews. Data were recorded, transcribed and then analyzed via MAXQDA 10 software.

The findings were categorized into two main themes of internal and external factors with eight sub-themes. The most important internal factors that had an influence on the leadership of the hospital managers were intra-organizational relations, manager’s personality traits, knowledge, attitude and skills of the manager. The most important external factors included extra-organizational relations, macro-level health policies, access to special financial resources, and social, economic and political factors.

The results call for a need to understand and analyze the socioeconomic factors influencing managers’ leadership while adopting appropriate strategies.

The results of the current study can help design training programs for hospital managers, and suggest criteria for appointing hospital managers across the country and this can enhance the effectiveness of their leadership. Health sector policymakers and decision makers should reform the programs that target training and empowerment of hospital managers so that the right people with the right competencies will hold such positions.

The results of this study showed that leadership effectiveness is also influenced by social and external factors. On the other hand, the effectiveness of management leadership can play a significant role in the quality of care provided to the community, patient satisfaction and in hospital social performance through the appropriate management of all hospital resources. Such factors should also be considered in training and appointing hospital managers.

Although there are several studies on hospital managers’ leadership worldwide, this study is the first to investigate the leadership effectiveness of hospital managers in Iran.

The aim of this paper is to empirically investigate whether social contacts can mediate the way in which current unemployment impacts future unemployment.

We use 2006–2017 data from the Household Income and Labour Dynamics in Australia (HILDA) survey and a dynamic random-effects model to describe the evolution of individual unemployment status over time.

Once controlled for the local context where individuals live and create friendships, we find that above-average social contacts reduce unemployment persistence. However, social contacts seem to be slightly less effective in deprived neighborhoods. These findings are consistent with the idea that individuals obtain information about job opportunities through a network of social contacts, and unemployment may lead to a decay of social capital, making it more difficult to find employment in future periods. Our results also show that neighborhood deprivation increases individual unemployment risk, while above-average neighborhood cohesion reduces the probability of unemployment in deprived neighborhoods.

Although many studies have been published on unemployment persistence, to the best of the author's knowledge, this is the first study quantifying the impact of social contacts on unemployment persistence. The study also offers fresh empirical evidence on the impact of neighborhood characteristics on unemployment risk.

This research discusses technology, business sector, and infrastructure, reflecting government spending, consumption, net exports, economic growth, and poverty. This study uses secondary data from world banks and processed regression using the moving average autoregression method. We find that technology, infrastructure, and business sector investment encourage public consumption, increase net exports, promote economic growth, and alleviate poverty in Indonesia. The impact of poverty alleviation comes from an increase in population income and economic growth, reflecting population.

Job finding and separation are not well studied in economies with high labor informality. In this chapter, we contribute to filling the gap in the literature of labor turnover, proposing a methodology to estimate both indicators in an economy with high informality. To this end, we estimate indicators of job finding and separation rates for Peru's developing economy, in which labor informality stands at 70%. We find that, on average, these indicators in the formal sector are similar to those estimated in developed economies; however, in the informal sector, the calculated indicators are approximately two times higher than those of the formal sector. The two indicators show considerable heterogeneity in the informal sector according to several observable categories; in addition, the separation rate is countercyclical, and the finding rate is procyclical, this cyclicality being greater in the formal sector.

Introduction – The most basic rule of job search is job search behaviour. Job search behaviour is defined as the effort of the individual, time spent on various activities in order to find a job. In the current competitive labour market – the modern employment environment, where many employees who may have a temporary employment status, where the use of outsourcing is common practice, or where there are those who are under-employed, there is great importance in adopting a robust job search behaviour for job seekers. However, employees may have other factors that affect their job search behaviour. In Trusty, Allen, and Fabian (2019), various motivational categories were put forward. These seven different categories range from wanting to avoid undesirable situations in the workplace to finding better job search methods.

Purpose – This article seeks to explain the data related to this research; it will focus on combining positive psychological capital with seven different sources of motivation, as categorised in Trusty et al. (2019).

Methodology – The method that will be used for this article will consist of a semi-structured interviews, which were used as a vehicle to gather qualitative research and for data collection. The interview questions were prepared using the seven different categories of motivation as detailed by Trusty et al. (2019) and related literature to determine the job search behaviour of the employees.

Findings – The findings will also include input from managers of human resources department employees, where job search behaviour was found to be high, indications suggest problems caused within the working environment, includes poor working relationships with colleagues and supervisors. Also the inability to optimise the skills of individuals and limited career progression opportunities are examples that effect job search behaviour and attitudes to work.

The purpose of the paper is to study how technology choice is affected by capital accumulation when there is unemployment and firms engage in oligopolistic competition.

In this infinite horizon model, unemployment results from the existence of efficiency wages. Consumers choose saving optimally, and there is capital accumulation. Firms producing intermediate goods engage in oligopolistic competition and choose technologies to maximize profits. A more advanced technology has a higher fixed cost but a lower marginal cost of production.

In the steady state, it is shown that an increase in population size or a decrease in the discount rate leads intermediate good producers to choose more advanced technologies and the wage rate increases. Interestingly, the equilibrium unemployment rate decreases with the size of the population.

In this model, unemployment results from the existence of efficiency wages and firms engage in oligopolistic competition. One difficulty with efficiency wage models is that saving is not allowed. However, in this model, consumers choose saving optimally, and capital accumulation is allowed. With oligopolistic competition, the authors show that an increase in population size or a decrease in the discount rate leads intermediate good producers to choose more advanced technologies and the wage rate increases. The equilibrium unemployment rate decreases with the size of the population.

This theoretical study aims to clarify the (a priori) ambiguous effect of homeownership on unemployment. In general, in fact, homeownership discourages job mobility, but homeowners are less likely to be unemployed than tenants, since homeownership would seem to be positively related to human capital.

This study develops a modified version of the benchmark theoretic model of the labour market – the well-known “equilibrium unemployment theory” – where homeownership affects both the “Beveridge Curve” (BC, by means of job immobility) and the “Job Creation Condition” (JCC, by means of human capital).

The general result is that an increase in homeownership increases unemployment. Therefore, policymakers could encourage job mobility, before facilitating homeownership. This policy implication, however, may not apply in the case of high inflation and/or low nominal interest rate, and when the job destruction rate depends on the homeownership rate.

The model studies the steady-state equilibrium of the labour market, so the policy implications only relate to the long-run. The model, therefore, does not consider the short-run effects of homeownership on unemployment (which may differ from the long-term results).

The model suggests a public policy characterised by large investment in rail lines and subsidised commuter fares. By promoting a more efficient allocation of workers across regions (and, thus, job mobility), indeed, this policy can be a good way to increase employment, without harming homeownership.

The practical implication of this model is also a social implication, since it relates to homeownership and housing tenure.

To the best of author’s knowledge, this is the first model that introduces the key role of homeownership in the so-called “Equilibrium unemployment theory”. Precisely, the model uses a modified version of both the BC (which includes the negative effect of homeownership on the overall job search intensity of unemployed workers) and the JCC (which includes the positive effect of homeownership on both the business start-up and the human capital of workers). By comparing these two opposite effects, this theoretical work makes clearer the net effect of homeownership on unemployment.

This study aims to examine the impact of finding a job through family and friend contacts on employees' wages and job satisfaction.

This study uses machine learning techniques in economics to estimate the causal effect of being hired through informal contacts on wages and job satisfaction using cross-sectional data from the Higher Education Graduates Survey 2012 (HEGS, 2012) in Egypt and Jordan.

The author's results confirm that negative and positive consequences are likely to occur. In Egypt, a wage penalty of 28% is estimated in the starting wage, but the impact diminishes in the last wage. By contrast, in Jordan, no penalty is captured in the starting wage, but a premium of 10% is estimated in the last wage. Job satisfaction is negatively affected by the penalty in the starting wage.

Job market search methods that allow for professional job referrals, facilitate more efficient information transfer between job-seekers and employers and provide opportunities for job-seekers with weak social capital should be implemented to lower dependence on informal search methods.

The research provides comprehensive evidence about finding a job through informal contact with employees' well-being. The consequences of finding a job using family and friends' contacts, whether positive or negative, cannot be ignored. Future research could benefit from the findings of this study.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-05-2022-0318.

This paper aims to examine whether there exists a long-run causal relationship between house prices and unemployment rates for eight major European countries.

The bootstrap panel Granger causality approach that accounts for cross-sectional dependence, slope heterogeneity and structural breaks is used to detect the direction of causality.

The empirical findings for the overall panel support the presence of unidirectional causality running from house prices to unemployment.

The findings are not only important for households but also for policymakers concerned with economic and financial stability.

There are only a limited number of studies that have investigated the direct link between house prices and employment or unemployment. Given the increased importance of labor market variables, particularly the choice of the unemployment rate as a key indicator in designing forward guidance and the increased financial stability concerns regarding house price dynamics, it is important to better understand the causal linkages between house prices and unemployment rates. To the best of the author’s knowledge, this paper is the first to apply the bootstrap panel Granger causality approach to examine the relationship between house prices and unemployment rates.