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The main purpose of the study to identify the importance of computer devices in vocational studies for person with disabilities (PwDs) are as follows: This study aims to observe the role of computer training in vocational training of a PwD. This study plays an important role in the vocational training of a PwD. With the help of ICT curriculum, effective vocational training is possible to help the trainee, the parents, the professional, the employer and the community easily. It builds awareness about career and employment options for individuals with disabilities.

The present investigation is descriptive research. The study has divided in to two phases such as—in the first phase of the study, the researcher has developed the tool for demographic data of PwDs. The tool is described as depth in following: There are two tools, the first tool had 16 different items related to demographic information of PwDs and the second one had 18 different items are related to computer skills and ability. The second questionnaire was a close-ended questionnaire. It was developed based upon the VAPS, BASAL-MR questionnaire developed by NIMH have questions on disability condition, management, policies, training and services available for PwDs. There are some basic areas in the tool are related to personal, academic, communication, vocational and recreational skills. The researcher had sent the questionnaire to the seven expert members related to disability for modifications. The researcher had modified and improved the tool as per expert advice. The role of the researcher in this research was to pose the research question and create conducive atmosphere to discourse, in order to encourage the participants to give the answer correctly. The researcher had prepared findings and a conclusion on the basis of the score obtained by PwDs. For the second phase of research, the researcher conducted interview with PwDs to assist the information related to computer skill training and importance in vocational potential for PwDs Participants: The sample selected for the study was 50 PwDs participants including 36 female and 14 male participants with benchmark disability (above 17 years of age) enrolled in the vocational unit in Uttar Pradesh. Purposive sampling was used for sample selection. Procedure: At the beginning, the investigator met with the concerned authority of the respective institutions for identifying the PwDs. And researcher had also contacted to parents and PwD for the present study. The data were also gathered by interviewing PwDs with help of their parents and PwDs. The investigator interviewed them by the help of self-made tools. On the whole, 50 individuals with disability were interview for present study.

The PwD mostly depends upon their family due to lack of job or livelihood skills. Anyone can obtain a job/business with help of vocational training or job training. In order to live an independent life, with social surroundings, basic vocational skills is desirable. PwDs is able to hold gainful employment or manage their daily financial activities with computer skills easily. ICT skills are very easy and useful to reading and writing, understand decision-making, logical thinking, problem-solving and so on.

The future research may guide parents and service providers, belonging from different geographical areas how to train the PwD. The study will indicate researches to guide parents to select appropriate job options for a PwD. Resources related to computer training for PwDs are very limited. In future, the research may conducted in specific disability for better output.

This study plays an important role in the vocational training of a PwD. Computer-based training model is easily implementable, cost-effective and accessible all over India. With help of new technology, the vocational training becomes systematic and structured for PwDs. Individual and group guidance is available for large and small groups all over India for PwDs. Computer-based instructions are clear and easy instructions for PwDs, and it avoids the unnecessary confusion of parents regarding the vocational training programmes of their PwDs. Computer-based vocational training is helpful for better employment options for PwD.

The attitudinal barrier will be reduced with computer training. The study will help in the training of the PwDs in different job roles. Computer training in the vocational curriculum will make the training part easy for trainers and PwDs as per his requirements. There are many organizational barriers to technology adoption are particularly problematic given the growing demands and perceived benefits among students about using technology to learn.

This paper adds new and significant information since it focuses on a specific group of persons who are disabled and the significance of using technology in learning. In conclusion, the findings in this study have valuable implications for PwDs, special educators and parents. This study creates effective in increasing positive atmosphere for PwDs in society and increases inclusion at vocational training centres. Therefore, it is important for technology base vocational training and education.

The lecture method has been compared with teaching methods such as flip learning, cooperative learning and simulations to establish which holds the key to students' understanding of concepts. What is bereft in the education literature is its comparative efficiency with the culturo-techno contextual approach (CTCA) in the teaching of computer science education.

This study adopted the quasi-experimental design to determine the efficacy of the CTCA in breaking difficulties related to the study of spreadsheets as a difficult concept in the Nigerian computer science education curriculum. Junior high school students studying computer science education participated in the study. The control group had 30 students, with 35 students in the experimental group. The experimental group was taught using CTCA, while the control group used the lecture method. The spread sheet achievement test, which had 40 items on spreadsheet, was used to collect data.

The results showed that the experimental group significantly outperformed the control group [F (1,60) = 41.89; p < 0.05]. The findings showed the potential of CTCA in improving students' performance in spreadsheets in the computer science education curriculum.

The originality of this study is hinged on its ground-breaking test of the CTCA to the study of the spreadsheet. The findings of this study indicate its efficacy in improving students' understanding of spreadsheet and computer science education.

Social commerce (SC) is a new genre in electronic commerce (e-commerce) that has great potential. This study proposes a new research framework to address deficiencies in existing social commerce research frameworks (e.g. the information model).

In the era of Industrial Revolution 4.0 technologies and new social commerce (s-commerce) models, the authors believe that there is an immediate need for a new research framework. The authors analysed the progress of the s-commerce paradigm between 2003 and 2023 by applying longitudinal science mapping. The authors then developed a research framework based on the themes in the strategic diagrams and evolution map.

From 2003 to 2010, studies on s-commerce mainly focused on social networking sites, virtual communities, social shopping and analytic approaches. From 2011 to 2015, it shifted to s-commerce, consumer behaviour, Web 2.0, artificial intelligence, social technologies, online shopping, user studies, data gathering methods, applications, service-based social commerce constructs, e-commerce and cognitive factors. Social commerce remained the primary research paradigm from 2017 to 2023.

The SC framework may be analogous to popular research frameworks such as technology-organisation-environment (T-O-E) and stimulus-organism-response (S-O-R). Based on this SC framework, researchers may gain a better understanding by determining the factors of the social, commercial, technological and behavioural dimensions.

The authors redefined s-commerce and developed an SC framework. Practical guidelines for the SC framework and an exemplary research model are presented. Overall, this study offers a new research agenda for the extant understanding of s-commerce, with the SC framework as the next frontier of the theoretical advancements and applications of s-commerce.

The purpose of this study is to analyze the combined effect of eight factors – performance expectancy (PE), effort expectancy (EE), hedonic motivation (HM), system quality (SQ), information quality (IQ), service quality (SEQ), digital literacy (DL) and computer anxiety (CA) on learners’ behavioral intention (BI) toward the adoption of e-learning in higher education institutions (HEIs) in India.

The study used factors from two theoretical models, the extended Unified Theory of Acceptance and Use of Technology and the DeLone and McLean Information Systems Success model. The study also considered DL and CA as additional factors because they could affect a learner’s intention in a developing country like India. Data were collected from three HEIs in Southern India and analyzed using fuzzy qualitative and comparative analysis (fsQCA).

The results of the study emphasize the importance of considering both individual and technological factors in e-learning adoption and provide evidence for the significance of integrating multiple theories in understanding the complex relationship between factors and learners’ BI. Four different configurations of the eight factors: EE*HM*SQ*IQ*SEQ*DL*∼CA; PE*EE*HM*SQ*IQ*DL*CA; PE*EE*HM*IQ*SEQ*DL*CA; and PE*EE*SQ*IQ*SEQ*DL*CA found to be sufficient to cause learners’ BI to use e-learning.

This study explores the complex relationship between different factors and learners’ intention to adopt e-learning using the fsQCA method. These findings may need further validation in HEIs across different geographical locations.

This study provides practical insights for HEIs in India and other developing countries on how different factors combine and interact to determine e-learning adoption in multiple contexts.

Using fsQCA as a novel and rigorous method, this study uncovers the complex and nonlinear causal relationships among various factors that affect e-learning adoption. This study provides a holistic and contextualized understanding of e-learning adoption in a developing country’s scenario. This study can inform educators and policymakers on how to design and implement effective e-learning strategies that suit different learner profiles and contexts.

Activity sampling is a technique to monitor onsite labourers' time utilisation, which can provide helpful information for the management level to implement suitable labour productivity improvement strategies continuously. However, there needs to be a review paper that compiles research on activity sampling studies to give readers a thorough grasp of the research trend. Hence, this paper aims to investigate the activity sampling techniques applied in earlier research from the angles of activity categories formation, data collection methods and data analysis.

The method used in this paper is a systematic review guided by the PRISMA framework. The search was conducted in Scopus and Web of Science. The inclusion and exclusion criteria were applied, selecting 70 articles published between 2011 and 2022 for data extraction and analysis. The analysis method involved a qualitative synthesis of the findings from the selected articles.

Activity sampling is broadly divided into four stages: targeting trade, determining activity categories, data collection and data analysis. This paper divides the activity categories into three levels and classifies the data collection methods into manual observation, sensor-based activity sampling and computer vision-based activity sampling. The previous studies applied activity sampling for two construction management purposes: labour productivity monitoring and ergonomic safety monitoring. This paper also further discusses the scientific research gaps and future research directions.

This review paper contributes to the body of knowledge in construction management by thoroughly understanding current state-of-the-art activity sampling techniques and research gaps.

Research on artificial intelligence (AI) and its potential effects on the workplace is increasing. How AI and the futures of work are framed in traditional media has been examined in prior studies, but current research has not gone far enough in examining how AI is framed on social media. This paper aims to fill this gap by examining how people frame the futures of work and intelligent machines when they post on social media.

We investigate public interpretations, assumptions and expectations, referring to framing expressed in social media conversations. We also coded the emotions and attitudes expressed in the text data. A corpus consisting of 998 unique Reddit post titles and their corresponding 16,611 comments was analyzed using computer-aided textual analysis comprising a BERTopic model and two BERT text classification models, one for emotion and the other for sentiment analysis, supported by human judgment.

Different interpretations, assumptions and expectations were found in the conversations. Three subframes were analyzed in detail under the overarching frame of the New World of Work: (1) general impacts of intelligent machines on society, (2) undertaking of tasks (augmentation and substitution) and (3) loss of jobs. The general attitude observed in conversations was slightly positive, and the most common emotion category was curiosity.

Findings from this research can uncover public needs and expectations regarding the future of work with intelligent machines. The findings may also help shape research directions about futures of work. Furthermore, firms, organizations or industries may employ framing methods to analyze customers’ or workers’ responses or even influence the responses. Another contribution of this work is the application of framing theory to interpreting how people conceptualize the future of work with intelligent machines.

The current advancements in technologies and the internet industry provide users with many innovative digital devices for entertainment, communication and trade. However, simultaneous development and the rising sophistication of cybercrimes bring new challenges. Micro businesses use technology like how people use it at home, but face higher cyber risks during riskier transactions, with human error playing a significant role. Moreover, information security researchers have often studied individuals’ adherence to compliance behaviour in response to cyber threats. The study aims to examine the protection motivation theory (PMT)-based model to understand individuals’ tendency to adopt secure behaviours.

The study focuses on Australian micro businesses since they are more susceptible to cyberattacks due to the least security measures in place. Out of 877 questionnaires distributed online to Australian micro business owners through survey panel provider “Dynata,” 502 (N = 502) complete responses were included. Structural equational modelling was used to analyse the relationships among the variables.

The results indicate that all constructs of the protection motivation, except threat susceptibility, successfully predict the user protective behaviours. Also, increased cybersecurity costs negatively impact users’ safe cyber practices.

The study has critical implications for understanding micro business owners’ cyber security behaviours. The study contributes to the current knowledge of cyber security in micro businesses through the lens of PMT.

This paper aims to explore augmented reality (AR) applications in construction safety academic literature and propose possible improvements for future scholarly works. The paper explicitly focuses on AR integration with Construction 4.0 technologies as an effective solution to safety concerns in the construction industry.

This study applied a systematic review approach. In total, 387 potentially relevant articles from databases were identified. Once filtering criteria were applied, 29 eligible papers where selected. The inclusion criteria were being directly associated with construction safety focused on an AR application and AR interactions associated with the Construction 4.0 technologies.

This study investigated the structure of AR applications in construction safety. To this end, the authors studied the safety purposes of AR applications in construction safety: pre-event (intelligent operation, training, safety inspection and hazard alerting), during-event (pinpointing hazard) and post-event (safety estimation) applications. Then, the integration of AR with Construction 4.0 technologies was elaborated. The systematic review also revealed that the AR integration has contributed to developing several technical aspects of AR technology: display, tracking and human–computer interaction. The study results indicate that AR integration with construction is effective in mitigating safety concerns; however, further research studies are required to support this statement.

This study contributes to exploring applications and integrations of AR into construction safety in order to facilitate the leverage of this technology. This review can help encourage practitioners and researchers to conduct further academic investigations into AR application in construction safety.

There are several technologies positively impacting the management of construction projects. Building information modelling (BIM) is one such technology, slowly changing project delivery. However, enhancing knowledge transfer (KT) within the construction industry is crucial because of the characteristic slow uptake of innovation. Therefore, this study aims to establish the effectiveness of the KT mechanism for BIM implementation in construction organisations.

This study adopted a quantitative research method where a structured questionnaire was distributed to construction professionals. A partial least square structural equation modeling path analysis was used to test the direct and indirect relationships of computer self-efficacy (CS), perceived ease of use (PEOU), KT and BIM usage.

This study found that CS could improve KT, which will, in turn, increase the implementation of BIM within construction organisations. However, in terms of KT, individuals’ confidence and ability to use BIM inspires them to share the knowledge of BIM they had received through training. Furthermore, this study found that the ease of interacting, learning and being skilful with BIM may not necessarily ensure the actual transfer of knowledge.

This study provides valuable insights into KTs (BIM implementation) in the construction industry. It will enhance the use of BIM systems and related knowledge through effective training amongst construction practitioners. Other previous studies have focused on challenges and barriers to BIM implementation, this study goes deeper into establishing the effectiveness of the KT mechanism for BIM implementation in construction organisations.

Although many universities have begun to provide artificial intelligence (AI)-related courses for students, the influence of the course on students' intention to participate in the development of AI-related products/services needs to be verified. In order to explore the factors that influence students' participation in AI services and system development, this study uses self-efficacy, AI literacy, and the theory of planned behaviour (TPB) to investigate students' intention to engage in AI software development.

The questionnaire was distributed online to collect university students' responses in central Taiwan. The research model and eleven hypotheses are tested using 151 responses. The testing process adopted SmartPLS 3.3 and SPSS 26 software.

AI programming self-efficacy, AI literacy, and course satisfaction directly affected the intention to participate in AI software development. Moreover, course playfulness significantly affected course satisfaction and AI literacy. However, course usefulness positively affected course satisfaction but did not significantly affect AI literacy and AI programming self-efficacy.

The model improves our comprehension of the influence of AI literacy and AI programming self-efficacy on the intention. Moreover, the effects of AI course usefulness and playfulness on literacy and self-efficacy were verified. The findings and insights can help design the AI-related course and encourage university students to participate in AI software development. The study concludes with suggestions for course design for AI course instructors or related educators.