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The purpose of this paper is to examine how leaders’ behaviour and subordinates’ personality can impact subordinates’ feelings of being trusted. Feeling trusted by one’s leader is associated with increased performance, organisational citizenship behaviours and job satisfaction (Baer et al., 2015; Lester and Brower, 2003).

Participants read a vignette in which a leader’s behaviour was manipulated and then rated the extent to which they felt trusted. Participants in Sample 1 consisted of 726 undergraduate students with work experience, and Sample 2 consisted of 1,196 people with work experience recruited over CrowdFlower, a crowd-sourcing website.

Results from both samples indicate that a leader delegating a task increases subordinate felt trust, for Sample 1 p<0.001, d=0.75 and for Sample 2 p<0.001, d=0.90. Further, subordinate felt trust increases when the task delegated is of high importance, for Sample 1 p<0.001, d=0.42 and for Sample 2 p<0.001, d=0.58. The likelihood of the delegated task resulting in negative outcomes and subordinate propensity to trust have negligible effects on felt trust.

Despite the organisational benefits of felt trust, it is still unclear how to elicit subordinates’ felt trust. This study is one of the first to empirically examine leader behaviour that may lead subordinates to feel trusted in the workplace. These findings support theoretical underpinnings of the relational leadership model and the risk-based model of trust.

This issue is a selected bibliography covering the subject of leadership.

Religious institutions can affect organizational practices when employees bring their religious commitments and practices into the workplace. But those religious commitments function in the midst of other organizational factors that influence the working out of employees’ religious commitments. This process can generate varying outcomes in organizational contexts, ranging from a heightened effect of religious commitment on employee behavior to a negligible or nonexistent influence of religion on employee behavior. Relying on social identity theory and schematic social cognition as unifying frameworks for the study of religious behavior, we develop a theoretically informed approach to understanding how and why the religious beliefs, commitments and practices employees bring to work have varying behavioral impacts.

How much work is “too much” for children aged 10–14 in Egypt? Our narrow focus here is on “work that does not interfere with school attendance.” For girls, work includes time spent in household chores and subsistence activities. We estimate simultaneous hours of work and school attendance equations as a joint Tobit and Probit model, then conduct simulations. Substantial negative effects on attendance are observed above about 10 hours per week (girls) and 14 hours (boys). For girls, heavy household work appears causal, but for boys, it seems that poor schooling leads to boys' dropout, then subsequent work.

This study aims to examine the role of eco-label hotel engagement as a pathway to sustainable practices via scouting entrepreneurial resilience and orientation at highly ranked hotels in Oman. The authors developed and tested a novel model built on resilience theory, the theory of entrepreneurial orientation and the theory of reasoned action (TRA).

Data from 167 human resources directors, hotel managers and other employees were analyzed by partial least squares structural equation modeling (PLS-SEM) and fuzzy-set qualitative comparative analysis (fsQCA).

Results indicate a strong positive relationship between entrepreneurial resilience and entrepreneurial orientation. Entrepreneurial orientation significantly increased all eco-label strategies, but not all strategies enhanced sustainable tourism practices. High adoption of sustainability practices depended on core strategies related to awareness, benefits, reputation and necessity, but the cost was also an issue. Managers adopted sustainability practices if they were not perceived as costly, or when perceived as costly if they believed they would help them reduce operating costs.

Policymakers should assist hotel managers when the sector is hit by political events, natural disasters or health crises such as the current pandemic can bounce back and develop their resilience. Likewise, training and workshops can be organized to improve managers’ entrepreneurial mindset, which was found to be a precursor to favorable attitudes toward sustainability.

This study tests a novel model built on three theories: resilience theory, the theory of entrepreneurial orientation and the TRA by using PLS-SEM and fsQCA.

This paper describes the field of biotechnology and likely advances in health care, agricultural and other applications in industry, environmental science and energy over the next 15 years. The intent is to give those without a background in the life sciences a perspective of the broad scope of biotechnology. The forecasts at the end of each section illustrate some advances as well as some of the benefits and risks to society that might occur during the next 15 years.

This paper aims to tackle an important question related to women’s economic empowerment in highly patriarchal societies like Egypt. The paper discusses individual, household, wealth and location factors determining women empowerment, as measured by two dimensions: decision-making power and mobility.

Using the “Egypt Labor Market Panel Survey” (ELMPS) 2012, a Multiple Indicators Multiple Causes (MIMIC) model was estimated to study the main economic resources and social constraints that determine women empowerment as measured by the power of women over household decisions and her freedom of movement in Egypt.

Three key messages could be delivered. First, women’s own economic resources as captured by her employment status are an important source of her empowerment. Second, contrary to theoretical prediction education is not playing its expected role in developing awareness and transforming ideas concerning gender roles in Egypt. Third, the importance of social local context is fundamental for Egyptian women empowerment.

This study is an attempt to address some of the gaps in the literature for the Egyptian case, where there is a lack in rigorous studies measuring women empowerment and examining its determinates. This is done by first, tackling multiple dimension of women’s empowerment, decision-making inside households and freedom of mobility. Second, using MIMIC model, which is a modeling approach that allows for studying the relations between several causes of a given latent variable, such as “Empowerment” in our case, and a number of its possible indicators, without a directly observable measure of the latent variable. Third, using the most recent set of data; the ELMPS 2012 which has a special focus on women’s resources and agency that permits greater content validity of the multidimensional setup. Forth, the macro level differences in women’s status are tackled through using location dummy variables. Finally, given the important correlation between wealth level and women empowerment, the paper is considered a first attempt to analyze such impact by including a variable that captures the wealth level of the woman’s household as one determinant of empowerment.

To be or not to be electronic William Shakespeare: The Complete Works, a widely acclaimed, modern spelling publication from Oxford University Press is now available on floppy diskette. All structural information is encoded so that it can be interpreted by the Oxford Concordance Program, a widely used text analysis program. It is aimed specifically at the microcomputer implementation, Micro‐OCP, which is available from Oxford Electronic Publishing. With Micro‐OCP and the Complete Works it is now possible to compile word lists, indexes, and concordances of any of Shakespeare's works with ease.

The purpose of this paper is to describe a new approach to sentence representation learning leading to text classification using Bidirectional Encoder Representations from Transformers (BERT) embeddings. This work proposes a novel BERT-convolutional neural network (CNN)-based model for sentence representation learning and text classification. The proposed model can be used by industries that work in the area of classification of similarity scores between the texts and sentiments and opinion analysis.

The approach developed is based on the use of the BERT model to provide distinct features from its transformer encoder layers to the CNNs to achieve multi-layer feature fusion. To achieve multi-layer feature fusion, the distinct feature vectors of the last three layers of the BERT are passed to three separate CNN layers to generate a rich feature representation that can be used for extracting the keywords in the sentences. For sentence representation learning and text classification, the proposed model is trained and tested on the Stanford Sentiment Treebank-2 (SST-2) data set for sentiment analysis and the Quora Question Pair (QQP) data set for sentence classification. To obtain benchmark results, a selective training approach has been applied with the proposed model.

On the SST-2 data set, the proposed model achieved an accuracy of 92.90%, whereas, on the QQP data set, it achieved an accuracy of 91.51%. For other evaluation metrics such as precision, recall and F1 Score, the results obtained are overwhelming. The results with the proposed model are 1.17%–1.2% better as compared to the original BERT model on the SST-2 and QQP data sets.

The novelty of the proposed model lies in the multi-layer feature fusion between the last three layers of the BERT model with CNN layers and the selective training approach based on gated pruning to achieve benchmark results.