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To proactively draw efficient maintenance plans, road agencies should be able to forecast main road distress parameters, such as cracking, rutting, deflection and International Roughness Index (IRI). Nonetheless, the behavior of those parameters throughout pavement life cycles is associated with high uncertainty, resulting from various interrelated factors that fluctuate over time. This study aims to propose the use of dynamic Bayesian belief networks for the development of time-series prediction models to probabilistically forecast road distress parameters.

While Bayesian belief network (BBN) has the merit of capturing uncertainty associated with variables in a domain, dynamic BBNs, in particular, are deemed ideal for forecasting road distress over time due to its Markovian and invariant transition probability properties. Four dynamic BBN models are developed to represent rutting, deflection, cracking and IRI, using pavement data collected from 32 major road sections in the United Arab Emirates between 2013 and 2019. Those models are based on several factors affecting pavement deterioration, which are classified into three categories traffic factors, environmental factors and road-specific factors.

The four developed performance prediction models achieved an overall precision and reliability rate of over 80%.

The proposed approach provides flexibility to illustrate road conditions under various scenarios, which is beneficial for pavement maintainers in obtaining a realistic representation of expected future road conditions, where maintenance efforts could be prioritized and optimized.

Today’s digital and mobile learning environment has contributed to the increased availability of and interest in e-textbooks, and many school systems are conducting trials to evaluate their effectiveness. The purpose of this paper is to identify and analyze instructors’ levels of use (LoU) of e-textbook features and innovations at a southeastern US community college. This study also evaluated the effectiveness of e-textbooks compared to paper textbooks on student achievement during a pilot period of e-textbook implementation.

Using a survey research design, the LoU of the Innovation framework was applied to identify and analyze instructors’ LoU rankings for eight e-textbook features. The study also used historical data on student demographics and final course grades to evaluate student achievement between text formats. Descriptive and inferential statistics were used to answer the research questions.

Results showed that e-textbook features were used at a low to non-existent level by instructors and that there was no significant difference in grade average between text formats among students. However, interactions between text format, age and gender were found.

This study added to the body of knowledge regarding e-textbook efficacy. While many studies stop with the conclusion that there is no difference in student outcomes between text formats, this study addressed a gap in literature on how to improve student performance with e-textbook technology by using the LoU of an innovation framework.

In this study, the impact of owner-operator and non-owner operator rice mills on productive efficiency is investigated.

Primary data collected from a survey of 111 rice mills in the Mwea region of Kenya are used. A metafrontier approach is employed to measure overall technical efficiency which is decomposed into managerial and organisational efficiency.

The results reveal no significant difference in overall technical and managerial efficiency between owner and non-owner operated mills. However, a significant difference exists in organisational efficiency of mills: non-owner operated mills were found to be performing significantly better than owner-operated.

The authors provide supporting evidence to the study and discuss some of the significant policy implications stemming from the study.

It is recognised that for owners to take the risk of divesting control to a hired manager rather than manage the firm themselves can have major strategic, financial and often emotional consequences. However, there is little empirical evidence on how production efficiency will develop as a result of hiring a manager with the underlying economic theory providing ambiguous guidance. Standard economic theory assumes that firms behave as profit maximisers, which can be achieved by operating efficiently. However, this may not always be the case and as the literature indicates, this may especially be so for small businesses in low- and middle-income countries.

This study aims to identify the impact of corporate governance on performance of sugar mills. In order to study this relation, a model is constructed in which ownership structure and independent directors are taken as independent variables. Whereas firm performance is analyzed by using proxy variables such as return on asset (ROA), return on equity (ROE) and sales growth. Moreover, size of board, working capital management (WCM) and philanthropy are taken as mediating variables between governance variables and firm performance.

The data of 32 sugar mills listed at Pakistan Stock Exchange for the period of four years (i.e. 2014–2017) is used for this research. Moreover, to investigate the model, generalized least squares statistical method is used to measure the relationship between variables.

The results revealed that there is significant but positive relationship between independent directors and ROA while ownership structure and ROE have significant but negative relationship. Thus, the board of directors should make it sure that all stakeholders and organizations should increase the nonfamily ownership in firms for better corporate performance. Moreover, philanthropy and WCM mediate the relationship between corporate governance and firms' performance.

This research work will be helpful in the corporate governance, and further researchers can conduct their study by considering executive/nonexecutive director and institutional owners as governance variables.

This paper fulfills an identified need to study how Corporate Governance effect the performance of firm.

This study examines English faculty perceptions of the Writing Center at American Design University in Qatar (ADU-Q) through a social capital analysis. This was part of a larger study that took a sociocultural approach to English faculty perceptions of writing center work at ADU-Q. One of the emergent themes in that study was the lack of students’ language skill transfer from English courses to their disciplines. This finding has critical implications for the development of writing center and writing-across-the-disciplines work by uniting the fields of Composition, TESOL, and writing center research.

This paper aims to examine the structure and content of religious tourism destination image through the reviews of visitors to Makkah and Medina, two of the world’s most popular Muslim pilgrimage sites.

This is an exploratory netnographic study of the 913 reviews posted on TripAdvisor from 2018 to 2022. The structure (dimensions and attributes) and content (variables) comprising the construct of religious tourism destination image emerge through manual thematic analysis and confirmed through content analysis.

Religious tourism destination image is a three-dimensional – cognitive, affective and conative – construct comprising both religion-specific, generally sacred and secular variables in a single, indivisible crystallization of experience.

Destination marketing organizations and marketers of tourism enterprises should regularly analyze visitor reviews posted on social media and carefully manage all variables of the religious tourism destination image, specifically stressing the religious aspect.

To the best of the authors’ knowledge, this is the first systematic analysis of the structure and content of religious tourism destination image based on detailed consumer evaluations and unprompted storytelling.

Gifting is a typical monetization strategy for live streaming platforms to motivate providers’ live content contribution. However, research regarding the factors that affect individuals’ gifting intention is still at an infant stage. Therefore, this study aims to investigate the factors that affect individuals’ gifting intention during live streaming.

The authors build a model to uncover the factors that affect individuals’ gifting intention from a streamer–content perspective, and the hypotheses are largely validated by online survey data through structural equation model analysis.

Individuals’ perceived attractiveness of the streamers is significantly and positively associated with gifting intention for leisure-related live streaming, whereas individuals’ perceived similarity with the streamers is significantly and positively associated with gifting intention for leisure-related and non-leisure-related live streaming. For live content-related factors, the individuals’ perceived utilitarian value of content is significantly and positively associated with gifting intention for non-leisure-related live streaming, whereas the individuals’ perceived hedonic value is significantly positively associated with gifting intention for leisure-related live streaming. Perceived symbolic value is insignificantly associated with gifting intention for neither type of live streaming.

The research is an original work and significantly contributes to live streaming and PWYW literature, and the findings derived from this study can guide live streaming platforms to regulate individuals’ gifting intentions/behaviors better.