Search results

The purpose of this paper is to understand how small and medium enterprises (SMEs) cope with the need for labour flexibility. Most previous studies ignore the labour flexibility practices of SMEs, especially in times of economic growth and tight labour markets.

A multiple case study approach is applied, with ten Dutch SMEs located in one small province with a similar labour market. A survey was executed as an intake, followed by 48 interviews with the entrepreneurs, HR and other managers and employees, and two focus groups in each company. The findings are based on an analysis of the approved case descriptions.

SMEs, like big companies, do not rely on one flexibility practice. Volume fluctuations are countered with all flexibility strategies, the mix fluctuations and the product innovations are mostly countered with flexible functions and flexible production technology. In general, the data suggest that flexibility strategies of SMEs can be characterised as ad hoc, reactive and with a short-term orientation.

Future research should include other sectors and regions enabling to generalise the findings. Future research should have a longitudinal design to include the pathway dependencies of flexibility practices.

This study identifies the need to analyse flexibility demands; reduce flexibility demands before investments in flexibility practices; create production process flexibility; invest in labour flexibility practices only after the first three steps are taken; and develop basic and more advanced levels of flexible contracts, flexible functions and flexible working times.

This study contributes to the authors’ knowledge on the use of labour flexibility practices in SMEs. In addition, it brings empirical data on how these labour flexibility practices relate to the needs for flexibility and how they relate to other sources of organisational flexibility, such as a flexible market approach and flexible production technologies. Dynamic capabilities should include the suggested operationalisation of the flexibility practices.

To be able to continuously provide affordable services to consumers, managers of critical infrastructure (CI) maintenance supply networks have to balance investments in resilience with costs. At the same time, CI providers need to consider factors that influence resilience such as the geographical spread or the location of the network. This study aims to contextualize supply chain resilience knowledge by exploring how maintenance resource configurations impact resilience and costs in CI supply networks.

An in-depth longitudinal single case study of a representative CI provider that has centralized its maintenance supply network is used. Data were collected before and after the change to evaluate the effect of the changes on the maintenance supply network.

This study shows that in this specific CI maintenance context, structural resource choices such as the quantity or location of spare parts and tools, the creation and exploitation of tacit knowledge and staff motivation impact both resilience and costs due to geographical spread, network location and other network properties.

This study extends general supply chain resilience knowledge to a new setting (i.e. CI) and shows how existing insights apply in this context. More specifically, it is shown that even in engineered supply networks there is a need to consider the effect of human agency on resilience as the creation and exploitation of tacit knowledge are of immense importance in managing the network. In addition, the relationship between normal accidents theory and high reliability theory (HRT) is revisited as findings indicate that HRT is also important after a disruption has taken place.

This paper aims to address the following questions: What is the impact of the pandemic on the hospitality industry in South Africa? Which innovations and strategies are in place to rebuild hospitality in South Africa?

This article emanates from the resent pandemic situation, and it is structured to include conceptual information drawn from the literature, empirical study and industry observation. These were conducted in 2020 and 2021 using, concepts from the literature, online questionnaires and observation to gather data about the impact of COVID-19 on hospitality operations across South Africa.

Historically literature shows that the hospitality industry positively impacts the economy and employment However, the pandemic greatly affected these contributions. The findings reported in the empirical study revealed that the pandemic affected business operations and employment and caused financial hardship for the industry.

There are relatively few studies that report on the issues relating to the pandemic and the hospitality industry in South Africa. This paper contributes to the literature regarding a pre-COVID-19 overview, the impact of the pandemic and the innovations and strategies in place to rebuild the hospitality industry.

There is some research showing that leadership behaviors could be important antecedents to learning, but knowledge is scarce on the impact of which leadership styles support exploitative and explorative learning. The purpose of this paper is to hypothesize that transformational leadership – more concerned with innovation – will encourage generalist human capital (HC), while transactional leadership – more focused on the efficiency of existing operations – will promote specialist HC.

To test the hypotheses, the authors adopt a structural ambidexterity approach as the authors consider that organizations need units working on both types of learning.

The results show the versatile role of transformational leaders, who are able to promote both types of HC and, in turn, both types of organizational learning. The authors have also found that marketing departments are more willing to explore than production departments.

This study highlights the relevance of considering the department as a unit of analysis (structural ambidexterity approach), the significant role of transformational leaders in organizational learning and the mediating role of HC.

Coronavirus disease 2019 (COVID-19) led most companies to redefine their sales channels, pushing toward e-Commerce. This increase in the online sales of products resulted in significant pressure on the logistics sector. The purpose of this paper is to investigate how express couriers responded to the pandemic period and allowed for business continuity.

A multiple case study involving five express couriers was conducted. Collected information was coded, then a framework is proposed to discuss the results with the support of the resource-based view and dynamic capabilities view concepts.

The study highlights how couriers leveraged most of their resources to respond to the pandemic threat. Four recurrent continuity enablers to foster the reconfiguration of resources were identified. Specifically, the study points out the key role of employees, digital technologies, visibility and knowledge as enablers that played a crucial role toward continuity. In addition, valuable lessons learned by practitioners to foster resilience in future disruption are highlighted.

Concerning academia, the present research aims to be among the first ones to provide empirical and practical insights on the impact of COVID-19 among express couriers. Considering practitioners, it identifies lessons learned that could be applied to the sector in future disruption.

Rooting in the literature on training and laying on Kirkpatrick model, this paper aims to explore key drivers of corporate training to identify how they can be combined into an integrated framework of learning for human capital development.

By adopting the constructivist grounded theory, this contribution analyzes the experience carried out in the last ten years by Virvelle, an Italian corporate training firm.

Results show the rise of five core categories, g1iving rise to an integrated model of Kirkpatrick. Their dynamic interplay led to a new orientation of Kirkpatrick model giving rise to a metalearning ecosystem.

Managerial implications have identified key factors on which building and implementing appropriate corporate training programmes capable of triggering co-generative processes of value creation. Particularly, the essential role of learning quality culture, digital technology and personalization are detected in integrating not only hard but furthermore soft shades of learning. Concerning theoretical implications, the emergence of key structural and systems enabling dimensions for learning, and contextual mechanisms involved in reshaping training effectiveness and achieving integrated learning outcomes are detected. The main limitation of this study lies in the need to generalize results: the conceptualized framework needs to be empirically tested.

The value of this research is built along three main points. The first is the integration among the core categories that an integrated learning system can be built on, promoting learning quality culture through positive feedback loops. The second is represented by the chance to enhance an integrated mutual knowledge development among engaged actors, thereby shaping a more holistic and multidimensional learning model. The third is related to the transversal role that digital technology plays in all phases of the training process as it integrates and enriches them.

This paper aims to examine the growth rates of small- and medium-sized enterprises (SMEs) over a three-year period, the relationship between firm size and firm growth in the context of SMEs, and the effect of marketing capability (MC) on firm growth and how it relates to firm size. The theoretical framework is based on the resource-based view and dynamic capabilities.

Data were gathered from Finnish SMEs (n = 214) and analyzed with Latent growth curve modeling (structural equation modeling). Respondents were chief executive officers or company owners.

Results show that firm size is unrelated to the rate of change, and MC has a significant effect on both the intercept and slope parameters. Smaller SMEs have less MC than larger SMEs.

While the overall human resources level of the SME is not linked to the rate of growth, MC is. This is an important point for small business growth studies, for it shows what type of personnel is called for during rapid growth. SMEs could advance significantly and rapidly if they invest in versatile human capital, especially in the marketing area.

Majority of the MC research involves larger corporations. This study brings new insights from SME perspective. In addition, this study suggests that it is imperative to consider different types of growth separately. This study contributes to this need by demonstrating the connection between employee growth rate and MC in SMEs.

This study aims to investigate the feasibility of employing a multi-objectives integer-programming model for effective allocation of resources for cyberfraud mitigation. The formulated objectives are the minimisation of the total allocation cost of the anti-fraud capacities and the maximisation of the forensic accounting capacities in all cyberfraud incident prone spots.

From the literature survey conducted and primary qualitative data gathered from the 17 licenced banks in South Africa on fraud investigators, the suggested fraud investigators are the organisation’s finance department, the internal audit committee, the external risk manager, accountants and forensic accountants. These five human resource capacities were considered for the formulation of the multi-objectives integer programming (MOIP) model. The MOIP model is employed for the optimisation of the employed capacities for cyberfraud mitigation to ensure the effective allocation and utilisation of human resources. Thus, the MOIP model is validated by a genetic algorithm (GA) solver to obtain the Pareto-optimum solution without the violation of the identified constraints.

The formulated objective functions are optimised simultaneously. The Pareto front for the two objectives of the MOIP model comprises the set of optimal solutions, which are not dominated by any other feasible solution. These are the feasible choices, which indicate the suitability of the MOIP to achieve the set objectives.

The results obtained indicate the feasibility of simultaneously achieving the minimisation of the total allocation cost of the anti-fraud capacities, or the maximisation of the forensic accounting capacities in all cyberfraud incident prone spots – or the trade-off between them, if they cannot be reached simultaneously. This study recommends the use of an iterative MOIP framework for decision-makers which may aid decision-making with respect to the allocation and utilisation of human resources.

The originality of this work lies in the development of multi-objectives integer-programming model for effective allocation of resources for cyberfraud mitigation.

The study queries the drivers of innovation management in contemporary data-driven organizations/companies. It is argued that data-driven organizations that integrate a strategic orientation grounded in data, human abilities and proactive management are more effective in triggering innovation.

Research reported in this paper employs constructivist grounded theory, Gioia methodology, and the abductive approach. The data collected through semi-structured interviews administered to 20 Italian start-up founders are then examined.

The paper identifies the key enablers of innovation development in data-driven companies and reveals that data-driven companies may generate different innovation patterns depending on the kind of capabilities activated.

The study provides evidence of how the combination of data-driven culture, skills' enhancement and the promotion of human resources may boost the emergence of innovation.

The extreme measures that have been taken by governments across the globe to minimize the spread of COVID-19 have had significant impacts on almost all the public sectors, especially on the economy and education. This study aims to address the approaches and prospective of online-based training and e-learning for employee learning and development during this COVID-19 crisis.

With an emphasis on the qualitative approach and considering the complex COVID-19 emergency, required data were collected from in-depth interviews to interpret the experiences of the respondents.

The findings suggested that the digital learning ecosystem offered flexibility of time, place and pace, which provided essential convenience during the COVID-19 crisis. From the human resource (HR) perspective, the e-learning culture has enabled the organizations to quickly adopt the new normal, secure sustainable continuity of organizational development and ensure decent work and growth within and across organizations. The adoption of e-learning and flexible working conditions following the setback has enabled the organizations to quickly cope up with the new normal, causing a significant paradigm shift in the organizational culture and corporate sector of Bangladesh.

The study will assist the HR of any organization to contemplate e-learning systems as effective alternative training methods. Also, the study will be suggestive to traverse new dimensions and skillsets for the pedagogues.

This study offers new evidential scenarios regarding the emergence of effective e-learning initiatives and online-based learning programs for developing the workforce to be efficient and productive even in distressful and inconvenient COVID-19 situations.