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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.

Volume 25 celebrates the 25th year of publication for the American Journal of Business (AJB). Launched by eight MAC schools of business in March 1986, the Journal has featured more than 700 authors who have contributed more than 330 research articles at the intersection of theory and practice. From accounting to marketing, management to finance, the Journal prominently covers the breadth of the business disciplines as a general business outlet intended for both practitioners and academics. As the Journal reaches out beyond the MAC in sponsorship, authorship, and readership, we assess the Journal’s first quarter century of impact.

Worker activity identification and classification is the most crucial and difficult stage in work sampling studies. Manual methods of recording are tedious and prone to error and, hence automating the task of observing and classifying worker activities is an important step towards improving the current practice. Very recently, accelerometer-based systems have been explored to automate activity recognition in construction, but it had been carried out in controlled environment. The purpose of this paper is to cover the evaluation of the system in field situations.

Experimental investigation was carried out on crews of iron workers and carpenters with accelerometer data loggers worn at selected locations on the human body. The accelerometer data collection was spread over a time period of two weeks, and video recording of the worker activities was concurrently carried out to serve as ground truth, the reference used for comparison. The activity recognition analysis was carried out on accelerometer data features using a decision tree algorithm.

It was found that the classification using the individual training scheme performed better when compared with the collective training scheme for both the trades. The field studies results showed that the classification accuracies for iron work and carpentry are 90.07 and 77.74 per cent, respectively, using decision tree classifier. It was found that similarities of movements were a major cause for lower accuracy of recognition.

The work being preliminary in nature has used the basic classifier and pre-processing methods and, standard settings of algorithms.

The paper has investigated accelerometer-based method for construction labour activity classification in field situations.

This study investigates the time‐series properties of operating cash flows per share and earnings per share for all manufacturing firms on the Compustat Quarterly Industrial tape for which sufficient data are available. Both individually‐identified and “premier” models are compared on the basis of their relative fit and forecasting accuracy. The empirical results suggest that for both accounting variables the individually‐identified models outperform the premier models, although this advantage is larger for earnings, and for forecast horizons beyond one quarter ahead. A major conclusion of the study is that the time‐series properties of cash flows are quite different than those of earnings. In particular, the cash flow series are considerably less predictable, as shown by their relatively high incidence of white‐noise series and relatively large forecast errors.

China around 1900 was an enormous domain with approximately 400 million people, almost all of them desperately poor. Most were farmers, working intensively on small tracts of land using relatively primitive technology. It was in many respects a Malthusian economy, with high death and birth rates and many residents living close to the subsistence level.

Does financial inclusion matter for productivity among smallholder farmers? The authors answer this question by using the sixth and seventh rounds of the Ghana Living Standard Survey to examine the extent to which financial inclusion affects productivity among smallholder farmers in Ghana.

The study uses a pooled data of the 6th and 7th rounds of the Ghana Living Standard Survey which are national representative data. The authors model an Instrumental Variable (IV) to correct for endogeneity in financial inclusion and a dominance analysis to examine the effects of access to credit, ownership of savings account and insurance product on farmers' productivity.

Results from the study indicate that financial inclusion significantly enhances productivity. Moreover, credit, savings and insurance products influence productivity at various degrees. Thus, expanding the scope of financial services (access to credit, savings and insurance) among smallholder farmers is crucial for inclusive finance and sustainable agricultural production.

The findings of the study have implications for financial institutions in the design of financial products that the meet the needs of smallholder farmers.

Several studies have looked at how access to credit influences agricultural productivity in Africa. However, in recent times financial inclusion has been advocated for because it goes beyond mere access to credit. This paper to the best of our knowledge is the first of its kind to examine how financial inclusion could affect agricultural productivity in Ghana.