Shamim Mohammad, Shivaraj Huchhanavar, Hifzur Rahman and Tariq Sultan Pasha
The extant literature underlines the inadequacies of legal and policy frameworks addressing the safety and health concerns of sandstone mineworkers in India. Notably, Rajasthan, a…
Abstract
Purpose
The extant literature underlines the inadequacies of legal and policy frameworks addressing the safety and health concerns of sandstone mineworkers in India. Notably, Rajasthan, a state renowned for its extractive industries, mirrors these concerns. Against this backdrop, this paper aims to critically evaluate the relevant legal and policy landscape, with an emphasis on the recent central statute: the Occupational Safety, Health and Working Conditions Code of 2020 (OSHWCC). Given that the Code subsumes the key legislation pertaining to the safety and health of mineworkers, an in-depth critical analysis is essential to forge suitable policy interventions to address continued gross violations of human rights.
Design/methodology/approach
The critical analysis of legal and policy frameworks on silicosis in sandstone mineworkers is based on a comprehensive reading of existing literature. The literature includes relevant laws, case law, reports of the Rajasthan State Human Rights Commission and National Human Rights Commission, publicly available data and key scholarly contributions in the field.
Findings
Although the OSHWCC has made some changes to the existing regulatory architecture of mines in India, it has failed to safeguard the safety and health of mineworkers. Notably, the vast majority of mines in India – constituting approximately 90%, which are informal, seasonal and small-scale – remain beyond the jurisdiction of this Code. In Rajasthan, there are specific policies on silicosis, but these policies are poorly implemented. There is a serious shortage of doctors to diagnose silicosis cases, leading to under-diagnosis. The compensation for silicosis victims is insufficient; the distribution mechanism is complex and often delayed.
Research limitations/implications
The central and many state governments have not established the regulatory institutions envisaged under the OSHWCC 2020; therefore, the working of the regulatory institutions could not be critically examined.
Originality/value
The paper critically evaluates laws and policies pertaining to silicosis in sandstone mineworkers, with a special emphasis on the state of Rajasthan. It offers a comprehensive critique of the OSHWCC of 2020, which has not received much attention from previous studies.
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Jia Tina Du, Abu Shamim Mohammad Arif and Preben Hansen
Collaborative information search (CIS) is a growing and significant research area. Query formulation and reformulation is an important search strategy in information search…
Abstract
Purpose
Collaborative information search (CIS) is a growing and significant research area. Query formulation and reformulation is an important search strategy in information search. However, limited research has investigated query behavior during CIS. The purpose of this paper is to characterize collaborative query reformulation (CQR) by exploring the sources of collaborative query (CQ) terms and the types and patterns of CQR in the context of tourism information search.
Design/methodology/approach
An empirical study was designed to investigate search query reformulation as tourists performed CIS on a devised interface. A total of 36 participants (in 18 pairs) took part in the study; data were documented in pre- and post-search questionnaires, search logs and chat logs.
Findings
The findings show that participants intermixed individual search and collaborative search during CIS. Participants constructed CQ terms mainly by selecting terms from individual search queries and discussion chat logs. Eight types of CQR were identified, with specialization (82 percent) accounting for the most used search tactics. At most times, participants were found to add terms to the previous query. Findings demonstrated 27 specific CQR patterns; in excess of two-third participants (69 percent) took only one move to reformulate CQ by adding terms, or replacing/using new words.
Practical implications
The results of this research can be used to inform the design of search systems supporting collaborative querying in CIS.
Originality/value
This study is highlighting an important research direction of CQ reformulation in collaborative search while previous studies of the topic are limited, comparing to the vast body of work on query reformulation in individual information search using regular search systems.
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Abu Shamim Mohammad Arif and Jia Tina Du
Collaborative information searching is common for people when planning their group trip. However, little research has explored how tourists collaborate during information search…
Abstract
Purpose
Collaborative information searching is common for people when planning their group trip. However, little research has explored how tourists collaborate during information search. Existing tourism Web portals or search engines rarely support tourists’ collaborative information search activities. Taking advantage of previous studies of collaborative tourism information search behavior, in the current paper the purpose of this paper is to propose the design of a collaborative search system collaborative tourism information search (ColTIS) to support online information search and travel planning.
Design/methodology/approach
ColTIS was evaluated and compared with Google Talk-embedded Tripadvisor.com through a user study involving 18 pairs of participants. The data included pre- and post-search questionnaires, web search logs and chat history. For quantitative measurement, statistical analysis was performed using SPSS; for log data and the qualitative feedback from participants, the content analysis was employed.
Findings
Results suggest that collaborative query formulation, division of search tasks, chatting and results sharing are important means to facilitate tourists’ collaborative search. ColTIS was found to outperform Tripadvisor significantly regarding the ease of use, collaborative support and system usefulness.
Originality/value
The innovation of the study lies in the development of an integrated real-time collaborative tourism information search system with unique features. These features include collaborative query reformulation, travel planner and automatic result and query sharing that assist multiple people search for holiday information together. For system designers and tourism practitioners, implications are provided.
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An analysis of traditional authoritarian preservice teacher development approaches in Pakistan demonstrates that they develop teachers as technicians who carbon copy the same…
Abstract
An analysis of traditional authoritarian preservice teacher development approaches in Pakistan demonstrates that they develop teachers as technicians who carbon copy the same authoritarian training model in their classrooms. The more contemporary approaches to teacher education with leadership development focus are mostly limited to in-service teacher education programs. The key dilemma with in-service education is that once the teachers have received higher qualification they tend to move out of the classrooms to assume management positions. What Pakistan requires is classroom teacher leaders who have the capacity to initiate and sustain school improvement. I propose the pedagogy of transformation, which is based on the principles of participation and emancipation suited to develop preservice teachers as active professionals who have the capacity to influence and drive improvements in their own learning and in the learning of the children. The transformation pedagogy encompasses five specific instructional strategies for nurturing teachers’ leadership skills in the current preservice teacher preparation program in Pakistan. These are: encourage active involvement and delegation of authority among preservice teachers, engage preservice teachers in critical analysis and meta-cognitive tasks, building collaborative teams and professional networks among preservice teachers, providing preservice teachers with experience of working with real-life teacher leaders, and develop preservice teachers’ moral and ethical reasoning. I bring the discussion to a closure in the form of a framework which encompasses key elements of the proposed pedagogy. The framework can be adopted or adapted to give due considerations to the complexities of the contexts where it is being implemented.
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Md. Shamim Hossain, Sofri B. Yahya and Mohammad Jamal Khan
Although research on patient satisfaction and loyalty has grown rapidly, the literature on corporate social responsibility (CSR) health care and patient satisfaction and loyalty…
Abstract
Purpose
Although research on patient satisfaction and loyalty has grown rapidly, the literature on corporate social responsibility (CSR) health care and patient satisfaction and loyalty is scarce. This paper aims to examine the impact of CSR health care on patient satisfaction and loyalty in Bangladesh.
Design/methodology/approach
A quantitative study was performed, and data were collected using purposive sampling among 195 patients who used CSR health-care services from six public and private hospitals in Bangladesh. The data were analysed using structural equation modelling through the partial least square approach.
Findings
The study found a significant positive relationship between CSR health-care services and patient satisfaction and between patient satisfaction and loyalty at p < 0.01.
Research limitations/implications
The study provides insights into policymakers in the development of Bangladesh health sectors and CSR health-care activities. However, the results might not be generalisable due to the unavailability of a sample frame.
Originality/value
The study addresses the lacuna in the literature on CSR health-care practices of hospitals in Bangladesh from the perspective of patient satisfaction and loyalty.
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Mohammad Shahid, Zubair Ashraf, Mohd Shamim and Mohd Shamim Ansari
Optimum utilization of investments has always been considered one of the most crucial aspects of capital markets. Investment into various securities is the subject of portfolio…
Abstract
Purpose
Optimum utilization of investments has always been considered one of the most crucial aspects of capital markets. Investment into various securities is the subject of portfolio optimization intent to maximize return at minimum risk. In this series, a population-based evolutionary approach, stochastic fractal search (SFS), is derived from the natural growth phenomenon. This study aims to develop portfolio selection model using SFS approach to construct an efficient portfolio by optimizing the Sharpe ratio with risk budgeting constraints.
Design/methodology/approach
This paper proposes a constrained portfolio optimization model using the SFS approach with risk-budgeting constraints. SFS is an evolutionary method inspired by the natural growth process which has been modeled using the fractal theory. Experimental analysis has been conducted to determine the effectiveness of the proposed model by making comparisons with state-of-the-art from domain such as genetic algorithm, particle swarm optimization, simulated annealing and differential evolution. The real datasets of the Indian stock exchanges and datasets of global stock exchanges such as Nikkei 225, DAX 100, FTSE 100, Hang Seng31 and S&P 100 have been taken in the study.
Findings
The study confirms the better performance of the SFS model among its peers. Also, statistical analysis has been done using SPSS 20 to confirm the hypothesis developed in the experimental analysis.
Originality/value
In the recent past, researchers have already proposed a significant number of models to solve portfolio selection problems using the meta-heuristic approach. However, this is the first attempt to apply the SFS optimization approach to the problem.
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Mohammad Islam Biswas, Md. Shamim Talukder and Atikur Rahman Khan
Firms have already begun integrating artificial intelligence (AI) as a replacement for conventional performance management systems owing to its technological superiority. This…
Abstract
Purpose
Firms have already begun integrating artificial intelligence (AI) as a replacement for conventional performance management systems owing to its technological superiority. This transition has sparked a growing interest in determining how employees perceive and respond to performance feedback provided by AI as opposed to human supervisors.
Design/methodology/approach
A 2 x 2 between-subject experimental design was employed that was manipulated into four experimental conditions: AI algorithms, AI data, highly experienced human supervisors and low-experience human supervisor conditions. A one-way ANOVA and Welch t-test were used to analyze data.
Findings
Our findings revealed that with a predefined fixed formula employed for performance feedback, employees exhibited higher levels of trust in AI algorithms, had greater performance expectations and showed stronger intentions to seek performance feedback from AI algorithms than highly experienced human supervisors. Conversely, when performance feedback was provided by human supervisors, even those with less experience, in a discretionary manner, employees' perceptions were higher compared to similar feedback provided by AI data. Moreover, additional analysis findings indicated that combined AI-human performance feedback led to higher levels of employees' perceptions compared to performance feedback solely by AI or humans.
Practical implications
The findings of our study advocate the incorporation of AI in performance management systems and the implementation of AI-human combined feedback approaches as a potential strategy to alleviate the negative perception of employees, thereby increasing firms' return on AI investment.
Originality/value
Our study represents one of the initial endeavors exploring the integration of AI in performance management systems and AI-human collaboration in providing performance feedback to employees.
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Mohammad Islam Biswas, Md. Shamim Talukder and Yasheng Chen
The adoption and usage of generative artificial intelligence tools like Chat Generative Pre-Trained Transformer (ChatGPT) in academia is the subject of increasing research…
Abstract
Purpose
The adoption and usage of generative artificial intelligence tools like Chat Generative Pre-Trained Transformer (ChatGPT) in academia is the subject of increasing research interest. This study investigates the factors influencing the intention, usage and recommendation of ChatGPT among university students by employing the stimulus-organism-behavior-consequence (SOBC) framework.
Design/methodology/approach
The proposed research model was validated by employing the partial least squares structural equation modeling (PLS-SEM) approach using 249 university students.
Findings
The study revealed that intention to use and usage behavior of ChatGPT among university students are highly influenced by perceived usefulness, initial trust, personal innovativeness and availability of information and support. Similarly, the study found a sequence of significant positive relationships among intention to use, actual use and likelihood of recommending the technology to others. However, the results showed that the impact of perceived ease of use and social influence on behavioral intention was not found to be significant predictors of intention to use ChatGPT in academic settings.
Practical implications
The research findings offer a number of benefits for educational institutions and technology developers regarding students’ perceptions of ChatGPT and its academic applications. Eventually, the findings will encourage AI technology developers to enhance the quality and design of their solutions. Additionally, it helps educators in designing the AI governance framework to promote the ethical and transparent use of AI in academic environments.
Originality/value
This study contributes to the expanding body of technology adoption research and offers an integrated theoretical framework for comprehending the adoption and usage of ChatGPT in academic settings.
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Mohammad Tariqul Islam, Md. Shamim Talukder, Abul Khayer and A.K.M. Najmul Islam
Open government data (OGD) is a comparatively new field in e-government and the factors influencing its continuance use by citizens have not been extensively explored. A better…
Abstract
Purpose
Open government data (OGD) is a comparatively new field in e-government and the factors influencing its continuance use by citizens have not been extensively explored. A better understanding of these factors can help the government to articulate strategies and policies that can advance the acceptance and use of OGD technologies. Thus, this paper aims to empirically determine the predictors influencing the continuance usage intention of OGD technologies.
Design/methodology/approach
Following an empirical investigation among 370 respondents in Bangladesh, a developing country, the paper applied path analysis using the structural equation modeling approach. The unified theory of acceptance and use of the technology model is integrated with the information system continuance model to investigate the continuance usage intention of OGD technologies.
Findings
The outcomes of this study reveal that performance expectancy, effort expectancy, social influence and facilitating conditions (FC) directly affect users’ satisfaction (SAT). In addition, SAT and FC were found statistically significant toward continuance usage intention of OGD technologies.
Practical implications
The findings of this study suggest policymaker and OGD providers to formulate or modify their strategies to retain the existing OGD users and stimulate persistence usage.
Social implications
Facilitating long-term use by citizens would increase their engagement and they might derive value from the OGD platforms. Concurrently, the government’s objective of ensuring increased future use of OGD technologies would be better realized.
Originality/value
The novelty of this study lies in the fact that it addresses a previously overlooked area of open data research, namely, the acceptance and use of open data technologies and ways to stimulate it. This study has contributed to the existing but limited literature on continuance usage intention of OGD technologies in the context of a developing country.
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Yasheng Chen, Mohammad Islam Biswas and Md. Shamim Talukder
The pressure to survive in a highly competitive market by using artificial intelligence (AI) has further demonstrated the need for automation in business operations during a…
Abstract
Purpose
The pressure to survive in a highly competitive market by using artificial intelligence (AI) has further demonstrated the need for automation in business operations during a crisis, such as COVID-19. Prior research finds managers' mixed perceptions about the use of technology in business, which underscores the need to better understand their perceptions of adopting AI for automation in business operations during COVID-19. Based on social exchange theory, the authors investigated managers' perceptions of using AI in business for effective operations during the COVID-19 pandemic.
Design/methodology/approach
This study collected data through a survey conducted in China (N = 429) and ran structural equation modeling to examine the proposed research model and structural relationships using Smart PLS software.
Findings
The results show that using AI in supply chain management, inventory management, business models, and budgeting are positively associated with managers' satisfaction. Further, the relationship between managers' satisfaction and effective business operations was found to be positively significant. In addition, the findings suggest that top management support and the working environment have moderating effects on the relationship between managers' satisfaction and effective business operations.
Practical implications
The results of this study can guide firms to adopt an AI usage policy and execution strategy, according to managers' perceptions and psychological responses to AI.
Social implications
The study can be used to manage the behavior of managers within organizations. This will ultimately improve society's perception of the employment of AI in business operations.
Originality/value
The study's outcomes provide valuable insights into business management and information systems with AI application as a business response to any crisis in the future.