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Article
Publication date: 31 December 2024

Umar Bashir Mir and Vipulesh Shardeo

The study aims to explore the factors that motivate social media (SM) users to abstain from sharing pictures on SM platforms through the lens of user resistance theory (URT).

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Abstract

Purpose

The study aims to explore the factors that motivate social media (SM) users to abstain from sharing pictures on SM platforms through the lens of user resistance theory (URT).

Design/methodology/approach

The study adopts a mixed-method approach and utilizes the URT as a lens to explore user attitudes towards SM engagement. Insights were derived from consultations with ten domain experts possessing diverse professional backgrounds. To prioritize the identified resistance factors, the Fuzzy-OPA multi-criteria decision-making (MCDM) technique was employed.

Findings

The study identifies 13 factors influencing users' choices to abstain from sharing images on SM platforms, categorized into 2 primary groups: personal and platform-related factors. Personal factors include privacy concerns, fear of negative judgment and anxiety over self-presentation. In contrast, platform factors include perceived risks of sharing images without consent, lack of control over the privacy settings and the lack of trust in SM platforms, contributing to users' reluctance to share pictures on SM.

Research limitations/implications

The study utilized ten experts' opinions to classify and prioritize factors, but results may vary with more experts from diverse backgrounds. Additionally, resistance factors may differ across SM platforms like Instagram, Snapchat, Facebook, etc. The study contributes to theory by identifying and classifying personal and platform barriers to SM non-use, filling a gap in existing literature. It offers a framework for future research on technology adoption and non-use, emphasizing the role of privacy, self-presentation and identity factors in user decision-making. This classification aids in designing measurement tools for further research.

Practical implications

The study contributes to theory by identifying and classifying personal and platform barriers to SM non-use, filling a gap in existing literature. It offers a framework for future research on technology adoption and non-use, emphasizing the role of privacy, self-presentation and identity factors in user decision-making. This classification aids in designing measurement tools for further research.

Originality/value

While most of the research on SM platforms has examined the drivers behind their adoption, reasons for non-adoption, remain relatively underexplored. The study fills this gap by investigating why users limit sharing content on SM platforms.

Details

Aslib Journal of Information Management, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 2050-3806

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Article
Publication date: 10 August 2020

Umar Bashir Mir, Swapnil Sharma, Arpan Kumar Kar and Manmohan Prasad Gupta

This paper aims to enlighten stakeholders about critical success factors (CSFs) in developing intelligent autonomous systems (IASs) by integrating artificial intelligence (AI…

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Abstract

Purpose

This paper aims to enlighten stakeholders about critical success factors (CSFs) in developing intelligent autonomous systems (IASs) by integrating artificial intelligence (AI) with robotics. It suggests a prioritization hierarchy model for building sustainable ecosystem for developing IASs.

Design/methodology/approach

This paper is based on the existing literature and on the opinion of 15 experts. All the experts have minimum of eight years of experience in AI and related technologies. The CSF theory is used as a theoretical lens and total interpretative structure modelling (TISM) is used for the prioritization of CSFs.

Findings

Developing countries like India could leverage IASs and associated technologies for solving different societal problems. Policymakers need to develop basic policies regarding data collection, standardized hardware, skilled manpower, funding and start-up culture that can act as building blocks in undertaking sustainable ecosystem for developing IASs and implementing national AI strategy. Clear-cut regulations need to be in place for the proper functioning of the ecosystem. Any technology that can function properly in India has better chances of working at the global level considering the size of the population.

Research limitations/implications

This paper had all its experts from India only, and that makes the limitation of this paper, as there is a possibility that some of the factors identified may not hold same significance in other countries.

Practical implications

Stakeholders will understand the critical factors that are important in developing sustainable ecosystem for IASs and what should be the possible order of activities corresponding to each CSF.

Originality/value

The paper is the first of its kind that has used the CSF theory and TISM methodology for the identification and prioritization of CSFs in developing IASs. Further, eight significant factors, that is, emerging economy multinational enterprises (EMNEs), governance, utility, manpower, capital, software, data and hardware, have come up as the most important factors in integrating AI with robotics in India.

Details

Digital Policy, Regulation and Governance, vol. 22 no. 4
Type: Research Article
ISSN: 2398-5038

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Article
Publication date: 6 September 2024

Bishal Dey Sarkar, Vipulesh Shardeo, Umar Bashir Mir and Himanshi Negi

The disconnect between producers and consumers is a fundamental issue causing irregularities, inefficiencies and leakages in the agricultural sector, leading to detrimental…

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Abstract

Purpose

The disconnect between producers and consumers is a fundamental issue causing irregularities, inefficiencies and leakages in the agricultural sector, leading to detrimental impacts on all stakeholders, particularly farmers. Despite the potential benefits of Metaverse technology, including enhanced virtual representations of physical reality and more efficient and sustainable crop and livestock management, research on its impact in agriculture remains scarce. This study aims to address this gap by identifying the critical success factors (CSFs) for adopting Metaverse technology in agriculture, thereby paving the way for further exploration and implementation of innovative technologies in the agricultural sector.

Design/methodology/approach

The research employed integrated methodology to identify and prioritise critical success criteria for Metaverse adoption in the agricultural sector. By adopting a mixed-method technique, the study identified a total of 15 CSFs through a literature survey and expert consultation, focusing on agricultural and technological professionals and categorising them into three categories, namely “Technological”, “User Experience” and “Intrinsic” using Kappa statistics. Further, the study uses grey systems theory and the Ordinal Priority Approach to prioritise the CSFs based on their weights.

Findings

The study identifies 15 CSFs essential for adopting Metaverse technology in the agricultural sector. These factors are categorised into Technological, User Experience-related and Intrinsic. The findings reveal that the most important CSFs for Metaverse adoption include market accessibility, monetisation support and integration with existing systems and processes.

Practical implications

Identifying CSFs is essential for successful implementation as a business strategy, and it requires a collaborative effort from all stakeholders in the agriculture sector. The study identifies and prioritises CSFs for Metaverse adoption in the agricultural sector. Therefore, this study would be helpful to practitioners in Metaverse adoption decision-making through a prioritised list of CSFs in the agricultural sector.

Originality/value

The study contributes to the theory by integrating two established theories to identify critical factors for sustainable agriculture through Metaverse adoption. It enriches existing literature with empirical evidence specific to agriculture, particularly in emerging economies and reveals three key factor categories: technological, user experience-related and intrinsic. These categories provide a foundational lens for exploring the impact, relevance and integration of emerging technologies in the agricultural sector. The findings of this research can help policymakers, farmers and technology providers encourage adopting Metaverse technology in agriculture, ultimately contributing to the development of environment-friendly agriculture practices.

Details

Journal of Enterprise Information Management, vol. 37 no. 6
Type: Research Article
ISSN: 1741-0398

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Article
Publication date: 8 February 2024

Shakeel Sajjad, Rubaiyat Ahsan Bhuiyan, Rocky J. Dwyer, Adnan Bashir and Changyong Zhang

This study aims to examine the relationship between financial development (FD), financial risk, green finance and innovation related to carbon emissions in the G7 economies.

345

Abstract

Purpose

This study aims to examine the relationship between financial development (FD), financial risk, green finance and innovation related to carbon emissions in the G7 economies.

Design/methodology/approach

This quantitative study examines the roles that financial development [FD: Domestic credit to private sector by banks as percentage of gross domestic product (GDP)], economic growth (GDP: Constant US$ 2015), financial risk index (FRI), green finance (GFIN: Renewable energy public research development and demonstration (RD&D) budget as percentage of total RD&D budget), development of environment-related technologies (DERTI: percentage of all technologies) and human capital (HCI: index) have on the environmental quality of developed economies. Based on panel data, the study uses a novel approach method of moments quantile regression as a main method to tackle the issue of cross-sectional dependency, slope heterogeneity and nonnormality of the data.

Findings

The study confirms that increasing economic development increases emissions and negatively impacts the environment. However, efficient resource allocation, improved financial systems, and green innovation are likely to contribute to emission mitigation and the overall development of a sustainable viable economy. Furthermore, the study highlights the importance of risk management in financial systems for future emissions prevention.

Practical implications

The study uses a reliable estimation procedure, which extends the discussion on climate policy from a COP-27 perspective and offers practical implications for policymakers in developing more effective emission mitigation strategies.

Social implications

The study offers policy suggestions for a sustainable economy, focusing on both COP-27 and the G7 countries. Recommendations include implementing carbon pricing, developing carbon capture and storage technologies, investing in renewables and energy efficiency and introducing financial instruments for emission mitigation. From a COP-27 standpoint, the G7 should prioritize transitioning to low-carbon economies and supporting developing nations in their sustainability efforts to address the pressing challenges of climate change and global warming.

Originality/value

In comparison to the literature, this study examines the importance of financial risk for G7 economies in promoting a sustainable environment. More specifically, in the context of FD and national income with carbon emissions, previous researchers have disregarded the importance of green innovation and human capital, so the current study fills the gap in the literature related to G7 economies by exploring the link between the identified variables related to carbon emissions.

Details

Studies in Economics and Finance, vol. 41 no. 3
Type: Research Article
ISSN: 1086-7376

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Article
Publication date: 10 June 2022

Mohammed Sani Abdullahi, Adams Adeiza, Fadi Abdelfattah, Mobin Fatma, Olawole Fawehinmi and Osaro Aigbogun

The purpose of this paper is to investigate the effect of talent management (TM) practices on employee performance (EP) and to explore the mediating role of employee engagement…

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Abstract

Purpose

The purpose of this paper is to investigate the effect of talent management (TM) practices on employee performance (EP) and to explore the mediating role of employee engagement (EE) on the relationship between TM practices and EP in Malaysian private universities (MPUs).

Design/methodology/approach

The paper used both descriptive and quantitative approaches, and the unit of analysis of this research consists of MPUs academic staff. The research sample consists of 314 MPUs academic staff, and a questionnaire was used to collect data from the target respondents, while partial least squares-structural equation modelling was used to evaluate the study hypotheses through bootstrapping approach.

Findings

The research outcome revealed that TM practices that comprise of talent recruitment practice (TRP), training and development practice (T&DP), compensation practice (CP) have a significant effect on EP. Furthermore, EE partially mediates the relationship between T&DP, CP and EP, while EE does not mediate the relationship between TRP and EP in MPUs.

Practical implications

The research suggests that universities management should focus on TM practices as a tool to achieve and maintain EE and positive attitudes (EP) in relation to work.

Originality/value

The research makes substantial contributions to the literature by investigating the effect of TM practices on EP through the role of EE as mediation in MPUs. The research is one of the very few studies undertaken in MPUs. Therefore, the results of this research serve as a guide for the universities management to develop their institutional strategies and policies in a manner in which their employees’ success can be achieved and encouraged.International Journal of Business and Society.

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