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Article
Publication date: 28 September 2018

Sheshadri Chatterjee and Arpan Kumar Kar

The purpose of this study is to highlight the importance of Internet of Things (IoT) in India. The purpose also includes providing insights regarding policy framing for…

Abstract

Purpose

The purpose of this study is to highlight the importance of Internet of Things (IoT) in India. The purpose also includes providing insights regarding policy framing for IoTs with a focus on regulation and governance.

Design/methodology/approach

A qualitative approach has been taken here for understanding the issues of IoT policy for India so far as regulations and governance are concerned.

Findings

This study highlights that the draft IoT policy of India, 2015 is to be improved. Attention is to be focused on regulation and governance for addressing security and privacy issues among other issues. For proper enablement of IoT technology, arrangements of funds are essential.

Research limitations/implications

IoT-related technologies in India have immense potential for the industries. This study implies the importance of security and privacy issues. If these issues are properly addressed, the industries will flourish further.

Practical implications

The study provides insights covering how usage of IoT technology would help the industry to grow up, how research and development organizations would be able to strengthen IoT technology for further development and to what extent it will improve the human daily activities.

Social implications

IoT would influence lives of millions of people of India. IoT-related policies would have huge social implication in terms of human–device interactions and communications. This research is a contemporary study on the implication of IoT policy toward the future growth of IoT-enabled devices in India.

Originality/value

The Government of India is expected to frame a comprehensive IoT policy with the help of draft IoT policy of 2015. This paper has taken a unique attempt to provide effective inputs to develop a comprehensive IoT policy for India.

Details

Digital Policy, Regulation and Governance, vol. 20 no. 5
Type: Research Article
ISSN: 2398-5038

Keywords

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Article
Publication date: 13 March 2017

Neetima Agarwal, Sumedha Chauhan, Arpan Kumar Kar and Sandeep Goyal

Mobile crowd sensing (MCS) is a new paradigm enabled by Internet of Things (IoT) in which sensor-rich ubiquitous devices collect and share the data over a large geography…

Abstract

Purpose

Mobile crowd sensing (MCS) is a new paradigm enabled by Internet of Things (IoT) in which sensor-rich ubiquitous devices collect and share the data over a large geography. Human behaviour attributes (perception, comprehension and projection) play a key role in the decision-making process for sharing and processing the data. This study aims to understand how situation awareness plays an important role in MCS in an IoT ecosystem.

Design/methodology/approach

A systematic literature review was conducted by following a rigorous search protocol that identified a total of 470 peer-reviewed research papers. These papers were further filtered and finally 31 relevant papers were selected.

Findings

The major issues and concerns arising due to human participation in the MCS system were identified. Further, probable strategies were explored to deal with the challenges resulting due to certain human behaviour attributes.

Practical implications

This study provides the recommendations to address the major challenges related to the MCS system, which in turn may enhance the adoption of emerging smart technology-driven services.

Originality/value

The study is original and is based on the existing literature and its interpretation.

Details

Digital Policy, Regulation and Governance, vol. 19 no. 2
Type: Research Article
ISSN: 2398-5038

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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…

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: 21 January 2019

Syed Ziaul Mustafa and Arpan Kumar Kar

In current times, organizations operating in emerging economies are providing digital services to its citizen the internet. Literature indicates that digital services are…

Abstract

Purpose

In current times, organizations operating in emerging economies are providing digital services to its citizen the internet. Literature indicates that digital services are facing major challenges with respect to its adoption among users groups due to the perceived risks.

Design/methodology/approach

With the use of generalized analytic network process (GANP), prioritization of different dimensions of risk has been done on the basis of an empirical survey among user groups in India.

Findings

The result indicates that dimensions like privacy risk, performance risk and financial risk are more important risks across digital services models. However, physical risk, social risk, psychological risk and time risk are comparatively less important risks across digital services. This research also finds out that the end users are reluctant to provide their personal information.

Research limitations/implications

The sample size is relatively small which limits generalizability of results beyond India. However, an application of GANP has been showcased for empirical research.

Practical implications

The research outcome can help managers in deciding which dimensions of risk are more important for digital service delivery and thus facilitate adoption.

Originality/value

This paper focused on the different facets of risk perceived by consumers, toward the digital services available in smart cities. Perceived risk dimensions such as privacy risk, performance risk, financial risk, physical risk, social risk, psychological risk and time risk have shown that there is a need to prioritize these risks to the digital services which is offered to the residents of the smart cities.

Details

Digital Policy, Regulation and Governance, vol. 21 no. 2
Type: Research Article
ISSN: 2398-5038

Keywords

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Article
Publication date: 16 September 2021

Hitesha Yadav, Arpan Kumar Kar and Smita Kashiramka

Aligning business innovation with the sustainable development goals (SDGs) creates immense opportunities to solve societal challenges along with business growth and…

Abstract

Purpose

Aligning business innovation with the sustainable development goals (SDGs) creates immense opportunities to solve societal challenges along with business growth and productivity. This study aims to understand the evolution of Fortune firms' strategic addressing of SDG on social media as a step towards post-pandemic recovery. Using attribution theory as a theoretical lens, the authors try to investigate how entrepreneurial orientation (EO) and SDG orientation evolve with the crisis and affect the appreciation and advocacy of the SDG-related posts.

Design/methodology/approach

A mixed methodology of machine learning and Social media analytics such as content analysis, sentiment analysis and space–time analysis have been used, followed by multivariate analysis to validate the findings.

Findings

An evolution in CEOs’ strategic focus surrounding SDG dimensions was found, from economic in pre-pandemic phase to social and environment during the pandemic. The SDG disclosure on social media by the Fortune CEOs seems to have an influence on their social media reputation, whereas EO has no impact on social media reputation.

Research limitations/implications

Wise practice of EO in information diffusion by CEOs on social media may lead to a healthy relationship with the stakeholders and better firm performance. The SDG adoption at organisation level contributes towards a sustainable society and helps tackling the challenges faced during the pandemic.

Originality/value

This study analyses the contribution of the Fortune firms to achieve a sustainable society in a pandemic environment by strategic adoption of SDGs and effective use of digital platforms.

Details

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

Keywords

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Article
Publication date: 12 February 2021

Pooja Sarin, Arpan Kumar Kar and Vigneswara P. Ilavarasan

The Web 3.0 has been hugely enabled by smartphones and new generation mobile applications. With the growing adoption of smartphones, the use of mobile applications has…

Abstract

Purpose

The Web 3.0 has been hugely enabled by smartphones and new generation mobile applications. With the growing adoption of smartphones, the use of mobile applications has grown exponentially and so has the development of mobile applications. This study is an attempt to understand the issues and challenges faced in the mobile applications domain using discussions made on Twitter based on mining of user generated content.

Design/methodology/approach

The study uses 89,908 unique tweets to understand the nature of the discussions. These tweets are analyzed using descriptive, content and network analysis. Further using transaction cost economics, the findings are reviewed to develop practice insights about the ecosystem.

Findings

Findings indicate that the discussions are mostly skewed toward a positive polarity and positive user experiences. The tweeters are predominantly application developers who are interacting more with marketers and less with individual users.

Research limitations/implications

Most of these applications are for individual use (B2C) and not for enterprise usage. There are very few individual users who contribute to these discussions. The predominant users are application reviewers or bloggers of review websites who use the recently developed applications and discuss their thoughts on the same.

Practical implications

The results may be useful in varied domains which are planning to expand their reach to a larger audience using mobile applications and for marketers who primarily focus on promotional content.

Social implications

The domain of mobile applications on social media is still restricted to promotions and digital marketing and may solely be used for the purpose of link building by application developers. As such, the discussions could provide inputs towards mobile phone manufacturers and ecosystem providers on what are the real issues these communities are facing while developing these applications.

Originality/value

The study uses mixed research methodology for mining experiences in the domain of mobile application developers using social media analytics and transaction cost economics. The discussion on the findings provides inputs for policy-making and possible intervention areas.

Details

Journal of Advances in Management Research, vol. 18 no. 4
Type: Research Article
ISSN: 0972-7981

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Article
Publication date: 2 February 2021

Swati Garg, Shuchi Sinha, Arpan Kumar Kar and Mauricio Mani

This paper reviews 105 Scopus-indexed articles to identify the degree, scope and purposes of machine learning (ML) adoption in the core functions of human resource…

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Abstract

Purpose

This paper reviews 105 Scopus-indexed articles to identify the degree, scope and purposes of machine learning (ML) adoption in the core functions of human resource management (HRM).

Design/methodology/approach

A semi-systematic approach has been used in this review. It allows for a more detailed analysis of the literature which emerges from multiple disciplines and uses different methods and theoretical frameworks. Since ML research comes from multiple disciplines and consists of several methods, a semi-systematic approach to literature review was considered appropriate.

Findings

The review suggests that HRM has embraced ML, albeit it is at a nascent stage and is receiving attention largely from technology-oriented researchers. ML applications are strongest in the areas of recruitment and performance management and the use of decision trees and text-mining algorithms for classification dominate all functions of HRM. For complex processes, ML applications are still at an early stage; requiring HR experts and ML specialists to work together.

Originality/value

Given the current focus of organizations on digitalization, this review contributes significantly to the understanding of the current state of ML integration in HRM. Along with increasing efficiency and effectiveness of HRM functions, ML applications improve employees' experience and facilitate performance in the organizations.

Details

International Journal of Productivity and Performance Management, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1741-0401

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Article
Publication date: 5 December 2017

Sheshadri Chatterjee and Arpan Kumar Kar

The purpose of this paper is to understand the effects of successful adoption of information technology (IT)-enabled services to be provided in the proposed smart cities…

Abstract

Purpose

The purpose of this paper is to understand the effects of successful adoption of information technology (IT)-enabled services to be provided in the proposed smart cities of India from end-user-experience perspective.

Design/methodology/approach

This paper has taken a sincere endeavor to understand to what extent the success of the smart cities depends on the users’ experience of the IT-enabled services, the backbone of smart cities, and how using IT-enabled services can improve the quality of the users’ lifestyle. Initially, few hypotheses have been developed from literature review, followed by structured questionnaires. Once the data were collected, they were analyzed using different statistical tools. This paper will be useful for the policymakers, specifically those who are involved in technology and IT-governance-related areas, in policymaking for the proposed smart cities in India.

Findings

This study tries to find how the IT-enabled services would transform the lives of residents both socially and technologically; to what extent the prospective citizens will be engaged to use the modern services; to what extent the threat of privacy and security issues affects the overall performance of the proposed smart cities of India; and how gaining trust of the citizens could help in successful adoption of IT services. This paper tries to find out few of these questions from the city residents’ perspective.

Research limitations/implications

This study is undertaken keeping Indian smart cities in perspective. However, in India, the proposed smart cities are in different states. In fact, the respondents selected by the authors are not the true representatives of the whole population, which is spread covering all parts of India. This paper could have implications for policymakers in drafting the smart city policy in India especially from IT-governance and user-experience perspective.

Practical implications

As this study discusses proposed smart cities of India from IT-enabled services and from the citizens’ perspective, it will have a huge practical implication once these smart cities become operational in India.

Social implications

This study discusses the IT-enabled services expected to be provided to the citizens of the proposed smart cities of India. As the paper discusses about the citizens’ perspective and the proposed smart cities of India, it definitely has social implications especially since the study is related to the citizens of proposed smart cities of India.

Originality/value

The research reported in this manuscript is the outcome of in-depth study on proposed Indian smart cities especially from IT adoption and from users’ perspective. Very few studies have been carried out on proposed Indian smart cities from IT adoption perspective and how that could improve the lifestyle of the residents.

Details

Journal of Science and Technology Policy Management, vol. 9 no. 2
Type: Research Article
ISSN: 2053-4620

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Article
Publication date: 22 March 2021

Nimish Joseph, Arpan Kumar Kar and P. Vigneswara Ilavarasan

Social media platforms play a key role in information propagation and there is a need to study the same. This study aims to explore the impact of the number of close…

Abstract

Purpose

Social media platforms play a key role in information propagation and there is a need to study the same. This study aims to explore the impact of the number of close communities (represented by cliques), the size of these close communities and its impact on information virality.

Design/methodology/approach

This study identified 6,786 users from over 11 million tweets for analysis using sentiment mining and network science methods. Inferential analysis has also been established by introducing multiple regression analysis and path analysis.

Findings

Sentiments of content did not have a significant impact on the information virality. However, there exists a stagewise development relationship between communities of close friends, user reputation and information propagation through virality.

Research limitations/implications

This paper contributes to the theory by introducing a stagewise progression model for influencers to manage and develop their social networks.

Originality/value

There is a gap in the existing literature on the role of the number and size of cliques on information propagation and virality. This study attempts to address this gap.

Details

Information Discovery and Delivery, vol. 49 no. 2
Type: Research Article
ISSN: 2398-6247

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Article
Publication date: 26 March 2021

Amrita Chakraborty and Arpan Kumar Kar

The pandemic COVID-19 brought in large challenges globally among the workforce. There were reports of how employee layoffs and pay-cuts were gradually becoming prominent…

Abstract

Purpose

The pandemic COVID-19 brought in large challenges globally among the workforce. There were reports of how employee layoffs and pay-cuts were gradually becoming prominent across industries based on media reports. However, there were no attempts to develop a typology of challenges faced by the workforce.

Design/methodology/approach

This study mined user-generated content from Twitter to bring out a typology of challenges due to the sudden turbulence that is faced from the pandemic. A case study has also been conducted by taking in-depth interviews in the academic sector to deep dive into the nature of these problems.

Findings

The study findings indicate that these challenges are basically stemming from challenges surrounding infrastructure readiness, digital readiness, changing nature of deliverables, workforce demand versus supply problems and challenges surrounding job losses.

Research limitations/implications

There is a need to explore the linkages through inferential research infrastructure readiness, digital readiness, changing nature of deliverables, workforce demand versus supply problems and challenges surrounding job losses on employee welfare during pandemics.

Originality/value

The authors provide inductive insights based on a data-driven research methodology surrounding the sudden challenges faced and possible mechanisms to address these issues faced by a stressed workforce catering to multiple stakeholders.

Details

The International Journal of Information and Learning Technology, vol. 38 no. 3
Type: Research Article
ISSN: 2056-4880

Keywords

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