Search results

In this study, the authors seek to introduce ways that show that in the age of artificial intelligence (AI), selective dissemination of information (SDI) performance can be greatly enhanced by leveraging AI technologies and algorithms.

AI holds significant potential for the SDI. In the age of AI, SDI can be greatly enhanced by leveraging AI technologies and algorithms. The authors discuss SDI technique used to filter and distribute relevant information to stakeholders based on the pertinent modern literature.

The following conceptual indicators of AI can be utilized for obtaining a better performance measure of SDI: intelligent recommendation systems, natural language processing, automated content classification, contextual understanding, intelligent alert systems, real-time information updates, intelligent alert systems, real-time information updates, adaptive learning, content summarization and synthesis.

The authors propose the general framework in which AI can greatly enhance the performance of SDI but also emphasize that there are challenges to consider. These include ensuring data privacy, avoiding algorithmic biases, ensuring transparency and accountability of AI systems and addressing concerns related to information overload.

The study aims to identify a model of commercializing entrepreneurial ideas in information and communication technology (ICT) knowledge-based companies.

A mixed method has been used in the research. The participants of the qualitative part were 15 key informants selected by sampling method purposefully and theoretically, while a sample of 205 experts was randomly chosen for the quantitative part. Data collection was completed through a semistructured interview in the qualitative part and by a researcher-made questionnaire in the quantitative part. The reliability of the research was confirmed by Cronbach’s alpha. The validity of the qualitative and quantitative parts was approved, respectively, by the criteria of Corbin and Strauss (2008) and by the content validity. Data analysis was done in the qualitative part through open, axial and selective coding, while in the quantitative part through partial least squares structural equation modeling (PLS-SEM) and adaptive neuro-fuzzy inference systems (ANFIS).

The commercialization model of ICT entrepreneurial ideas was depicted by the paradigmatic version of Corbin and Strauss (2008). The model has been consisted of six sectors as follows: causal conditions (including stimuli of science and technology parks, interests and motivation of managers of ICT knowledge-based company and environmental stimuli), contextual conditions (including skills and abilities of managers of ICT knowledge-based company, status of ICT knowledge-based company and enabling and facilitating legal framework), intervening conditions (including the complex nature of the ICT industry, science and technology parks’ support of companies, facilities and equipment for commercialization of ICT entrepreneurial ideas and economic system stability), strategies (including marketing research, planning and feasibility study of ICT entrepreneurial idea, design and production of ICT product and release and supply of ICT product), consequences (successful commercialization of ICT entrepreneurial ideas in the post-COVID-19 era) and the central phenomenon (ICT entrepreneurial ideas: commercialization in the post-COVID-19 era). Then, the main factors were confirmed through PLS-SEM and ANFIS. Among the factors, interests and motivation of managers of ICT knowledge-based companies, status of ICT knowledge-based companies, facilities and equipment for commercialization of ICT entrepreneurial ideas and release and supply of ICT products were identified as the most influential factors.

The model can help solve the challenges of managers and policymakers to commercialize ICT entrepreneurial ideas. Therefore, innovative production will increase, value will be created for the beneficiaries and economic, social and political growth will occur in the post-Corona era.

Commercialization of ICT entrepreneurial ideas has the potential to affect many aspects of economic and societal activities in the society such as GDP growth, employment, productivity, poverty alleviation, quality of life and education.

The research includes innovation in presenting a multidimensional commercialization model based on an entrepreneurial perspective in the special field of ICT with a mixed approach including grounded theory, PLS-SEM and ANFIS in ICT knowledge-based companies. But the most important innovation of the study is related to the findings. The main categories, subcategories and concepts of the research have been presented in the form of a theory entitled “ICT entrepreneurial ideas: commercialization in the post-COVID-19 era.”

This study aims to examine the relationship between sustainable activities and financial performance under the moderation of the Shariah supervisory board (SSB) of Islamic banks (IBs).

The sample consists of IBs in Asia from 2015 to 2018. Sustainable activities were collected from sustainability and annual reports, while additional data were sourced from Orbis, Thomson Reuters, and Euromonitor. Weighted content analysis measures sustainable activities, and general least square regression was used to test the hypothesis.

Sustainable activities are positively correlated to IBs’ financial performance in the current and following year. However, the SSB cannot strengthen this relationship.

IBs should integrate sustainable financing or green banking into their strategies and operations, as shareholders are increasingly drawn to investing in banks that demonstrate strong social and environmental responsibility.

First, policymakers can improve guidelines related to sustainability in IBs in line with Islamic concepts and perspectives. Second, regulation can optimize the role of SSB in terms of sustainability based on maqasid shariah.

This study examines sustainable activities per the concept of maqasid shariah. Financial performance testing is carried out not only in the current period but also in one subsequent year. Limited research exists in this area, especially with a large sample in the Asian region.

This study investigates the impact of organizational ambidexterity on employee performance within Jordanian clearance companies, focusing on the mediating role of organizational learning. This research aims to explore how the dimensions of exploration and exploitation influence performance outcomes, including effectiveness and growth.

Using analytical descriptive research, this study uses SMART-PLS 4 for hypothesis testing and mediation analysis. A meticulously developed questionnaire, grounded in scholarly literature and vetted by experts, was distributed to 230 employees across the Jordanian clearance industry, achieving a 91.3% response rate.

This study found that companies do better when they effectively explore and exploit, especially if they also focus on learning and adapting. This insight is particularly useful for those in the human resource development and management fields who aim to boost employee performance and, ultimately, the success of their organizations. The findings reveal a significant indirect effect of organizational ambidexterity on performance through organizational learning. Ambidexterity explained 55.6% of the variance in organizational learning, and subsequently, organizational learning accounted for 47.4% of performance variance. The total performance variance was 81.8%, indicating a strong relationship between the constructs.

This study’s scope is limited to the Jordanian clearance industry, suggesting the need for further research across different contexts and industries. The reliance on self-reported data may introduce bias, warranting future use of mixed methods for a more comprehensive understanding.

The findings underscore the importance of fostering organizational learning as a mediator between ambidexterity and performance. Companies should invest in strategies that enhance both exploratory and exploitative activities, leveraging organizational learning to improve performance outcomes.

By highlighting the role of organizational learning in mediating the relationship between ambidexterity and performance, this research suggests pathways for businesses to contribute to economic growth and employee development within the Jordanian context and potentially beyond.

This study contributes to the field by examining the underexplored context of the Jordanian customs clearance industry and using a robust methodological framework to assess the relationship between organizational ambidexterity, learning and performance. It provides empirical evidence supporting the significant impact of balanced competency configurations on performance outcomes.

This paper aims to highlight the factors affecting health and safety (H&S) and the SMART Technologies (ST) used to mitigate them in the construction industry through a range of selected papers to encourage readers and potential audiences to consider the need for intelligent technologies to minimize the risks of injuries, illnesses and severe harm in the construction industry.

This paper adopts a double systematic literature review (SLR) to analyse studies investigating the factors affecting H&S and the ST in the construction industry using databases such as Google Scholar, Scopus, Science Direct and Emerald Insight publication.

The SLR identified “fatal or focus five factors” that include objects Fall from heights (FFH) and trapped between objects; Falls, Trips and slips (FTS); Machinery/Equipment Malfunction and Moving Equipment; Pollutants: Chemicals, Airborne Dust, Asbestos; and Electrocution. The ST includes Safety Boots/SMART Glasses/SMART Helmet/SMART Vests/SMART PPE/SMART Watch, Mobile Apps, Building Information Modelling (BIM), Virtual Reality/Augmented Reality (VR/AR), Drones/Unmanned Aerial Vehicles and Wearable Technology/Mobile Sensors help mitigate the risk posed by “Fatal five”. However, other factors within the scope of ST, such as Weather Conditions, Vibrations, Violence, Disease and illness, Fire and Explosion and Over Exertion, are yet to be adopted in the field.

SLR methodology limitations of not obtaining the most updated field knowledge are critical and are offset by choosing 72% of H&S and 92% of SM review literature post-2017. Limitations to capturing articles because of the restriction of database access: only English language search and journals that are not a part of the databases selected are acknowledged. However, key database search that recognizes rigorous peer-reviewed articles offset these limitations. The researcher’s Bias is acknowledged.

This paper unravels the construction H&S factors and their interlinks with ST, which would aid industry understanding and focus on mitigating associated risks. The paper highlights the Fatal five and trivial 15, which would help better understand the causes of the H&S risks. Further, the paper discusses ST’s connectivity, which would aid the organization’s overall H&S management. The practical and theoretical implications include a better understanding of all factors that affect H&S and ST available to help mitigate concerns. The operating managers could use the ST to reduce H&S risks at every construction process stage. This paper on H&S and ST and relationships can theorize that the construction industry is more likely to identify clear root causes of H&S and ST usage than previously. The theoretical implications include enhanced understanding for academics on H&S factors, ST and gaps in ST concerning H&S, which can be expanded to provide new insights into existing knowledge.

This paper highlights all factors affecting H&S and ST that help mitigate associated risks and identifies the “Fatal five” factors. The paper is the first to highlight the factors affecting H&S combined with ST in use and their interactions. The paper also identified factors within the ST scope that are yet to be explored.