<abstract xmlns="http://www.w3.org/1999/xhtml">

COVID-19 played a significant role in the spread of telework worldwide, changing people’s lives and behaviour. The paper aims to identify how teleworking affected the sustainable behaviour of employees during the COVID-19 pandemic. The research design applies a multi-method approach, combining systematic and comparative scientific literature analysis and a semi-structured interview. The authors of the paper present the theoretical conceptual model, which illustrates links between teleworking during the COVID-19 pandemic and the sustainable behaviour of employees. The results of empirical research revealed that teleworking during the COVID-19 pandemic changed employee behaviour in economic, environmental and social dimensions. Positive changes were identified due to reduced commuting and shopping; decreased costs for transport, food, clothing, and beauty services; better access to healthy and nutritious food; better opportunities for professional development. On the contrary, costs for home energy and household waste increased. Adverse effects on employees’ physical and mental health have been identified due to teleworking and COVID-19. Despite the identified negative effects, employees would like to continue teleworking even after the pandemic.
</abstract>

Teleworking and sustainable behaviour in the context of COVID-19: the case of Lithuania

<abstract xmlns="http://www.w3.org/1999/xhtml">

This study used bibliometric analysis to investigate global research trends regarding the effect of COVID-19 risks in sustainable facility management fields. Between 2019 and 2021, the Scopus database published 208 studies regarding the effect of COVID-19 risks on sustainable facility control fields. VOSviewer software was used to analyse the co-occurrence of all keywords, and Biblioshiny software allowed getting the most relevant affiliation using the three-field plot. The results show the contribution by authors from 51 countries, and 73 keywords were identified and organised into six clusters, such as the effect of COVID-19 risks on human health, supply chain in construction projects and industry, disaster risk management in a changing climate, sustainable supply chain benchmarking, facility management and quality control, and, finally, sensitivity analysis &amp; decision-making.
</abstract>

Global trends of the research on COVID-19 risks effect in sustainable facility management fields: a bibliometric analysis

<abstract xmlns="http://www.w3.org/1999/xhtml">

The article aims to show that reliable IT support was crucial for the survival and sustainability of organisations during the COVID-19 pandemic. The article considers the negative effect of the crisis caused by the COVID-19 pandemic on the organisational sustainability of an organisation (i.e., organisational performance through employee job performance). It explores the role of IT reliability in mitigating such a negative effect. To verify the hypotheses, the empirical studies were performed during the COVID-19 crisis with 1160 organisations operating in Poland, Italy and the USA. The data were analysed using multiple linear regression models with mediators and moderators. The results confirmed that due to the ability to limit the severity of a crisis-induced negative effect on employee job performance (influencing organisational performance), IT reliability could be considered a mitigator for the negative effect of the COVID-19 crisis on the sustainability of organisations. The results indicate that IT reliability should be fostered among organisations operating during the COVID-19 pandemic to maintain sustainability.
</abstract>

IT reliability as a source of sustainability for organisations operating during the COVID-19 pandemic

<abstract xmlns="http://www.w3.org/1999/xhtml">

This study aims to identify and analyse critical success factors (CSFs) for an organisation aiming for a resilient supply chain. The methodology followed is the systematic analysis of big databases, such as Emerald, Science Direct, and Taylor &amp; Francis, by using a specific set of keywords for filtering. The systematic literature review leads the author to the exploration of several CSFs, followed by their prioritisation by using principal component analysis. The paper highlighted eleven vital CSFs: top management commitment, development of an effective SCM strategy, logistics synchronisation, use of modern technologies, robust information and communication technology, information sharing with SC members, collaborative partnership, improved forecasting, trust development in SC partners, collaborative partnership, strategic partnership, development of reliable suppliers, continuous improvement in the preparedness and response practices, capacity building and training and staff development. The CSFs highlighted in the paper relate to all small and medium-sized enterprises (SMEs). This paper identifies the CSFs for developing a resilient supply chain that is comprehensive and has the potential to address uncertain circumstances. This work is the first of its kind on CSF assessment and categorisation in resilient supply chains.
</abstract>

NED University of Engineering and Technology

Exploring the critical success factors of a resilient supply chain

<abstract xmlns="http://www.w3.org/1999/xhtml">

The paper mainly aims to characterise project management (PM) practices of industrial Lean initiatives by analysing and comparing three main topics: PM approaches, PM teams, and project alignment with the company’s strategy. This research encompasses two exploratory industrial case studies with an extensive literature review. Key professionals were interviewed to obtain an in-depth vision of the field. The study results allowed characterising project management practices of industrial Lean initiatives in industrial companies based on the following dimensions: 1. Understand the needs; 2. Find a suitable team; 3. Use visual tools; 4. Apply a continuous improvement (CI) approach; 5. Identify KPIs for the context; 6. Get support from the top management. This work fills a gap related to studying the PM practices applied during the implementation of Lean initiatives, proposing a schematic representation of PM variables and actors in industrial Lean initiatives. Identifying the main variables and actors that industrial companies use to develop Lean initiatives can be insightful for Lean practitioners in the context of project management.
</abstract>

School of Engineering of University of Minho

Characterising project management of lean initiatives in industrial companies — crossing perspectives based on case studies

<abstract xmlns="http://www.w3.org/1999/xhtml">

This study aims to determine the impact of cash flow variation in Jordanian construction projects from contractors’ perspective and its relationship with project performance. An online questionnaire was developed and distributed to a selective sample. The respondents were project managers from contracting companies working in Jordan, around 340 construction companies. The sample frame was a form of non-probability sampling of 181 project managers. The collected data were analysed using the Statistical Package of the Social Sciences (SPSS) version 25. The study results showed a positive statistically significant effect at the significance level (α ≤0.05) of cash flow variation on project performance in Jordanian construction projects. In addition, respondents indicated a high level of agreement on the impact of cash flow variation on projects’ performance, with a mean of 4.01 and a standard deviation of .546. However, on the project performance dimensions’ level, Quality came first, with a mean of 4.11 and at a high level, followed by Safety, with a mean of 4.01 and at a high level, while Final Cost ranked third with a mean of 3.96 and at a high level. Finally, Project Final Duration ranked fourth with a mean of 3.95. The researchers recommended the necessity of more efforts for a better understanding of the importance of cash flow by contractors to schedule project activities correctly and efficiently to maintain a steady state of the project cash flow.
</abstract>

Mutah University, Applied Science Private University

Impact of cash flow variation on project performance: contractors’ perspective

<abstract xmlns="http://www.w3.org/1999/xhtml">

This study aims to evaluate the applicability of a text mining approach for extracting UUX-related issues from a dataset of user comments and not to evaluate the Instagram (IG) app. This study analyses textual data mined from reviews in English written by IG mobile application users. The article’s authors used text mining (based on the LDA algorithm) to identify the main UUX-related topics. Next, they mapped the identified topics with known theoretical constructs to place them in their nomological network relevant to the usability (the 5Es framework by Quesenbery) and UX (the Honeycomb model by Morville). Finally, to expand the study with an emotional diagnosis, sentiment analysis was performed on two levels: (i) for each recognised topic, and (ii) for the full dataset to uncover general insights into users’ emotions within all reviews. The case study of the IG app confirms the usefulness of user feedback data for software development and points out that the review data have the potential for the early detection of frustration and negative feelings introduced during the use of the application. Conducting conventional UUX evaluations with users is problematic since they are remotely located, and the user-generated content of a social app undergoes continuous and frequent changes. Thus, the consecutive stages of the proposed methodology, based on text mining algorithms, constitute a proposed framework for examining the user-perceived quality projection of applications from user feedback, and they are the main contribution of this article. The used approach can be valuable for helping developers, designers and researchers to reveal user problems and fulfil user satisfaction regarding UUX aspects for specific software features.
</abstract>

Exploring the usability and user experience of social media apps through a text mining approach

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Engineering Management in Production and Services

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