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Article
Publication date: 29 December 2021

Amit Sood, Rajendra Kumar Sharma and Amit Kumar Bhardwaj

The purpose of this paper is to provide a comprehensive review on the academic journey of artificial intelligence (AI) in agriculture and to highlight the challenges and…

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Abstract

Purpose

The purpose of this paper is to provide a comprehensive review on the academic journey of artificial intelligence (AI) in agriculture and to highlight the challenges and opportunities in adopting AI-based advancement in agricultural systems and processes.

Design/methodology/approach

The authors conducted a bibliometric analysis of the extant literature on AI in agriculture to understand the status of development in this domain. Further, the authors proposed a framework based on two popular theories, namely, diffusion of innovation (DOI) and the unified theory of acceptance and use of technology (UTAUT), to identify the factors influencing the adoption of AI in agriculture.

Findings

Four factors were identified, i.e. institutional factors, market factors, technology factors and stakeholder perception, which influence adopting AI in agriculture. Further, the authors indicated challenges under environmental, operational, technological, economical and social categories with opportunities in this area of research and business.

Research limitations/implications

The proposed conceptual model needs empirical validation across countries or states to understand the effectiveness and relevance.

Practical implications

Practitioners and researchers can use these inputs to develop technology and business solutions with specific design elements to gain benefit of this technology at larger scale for increasing agriculture production.

Social implications

This paper brings new developed methods and practices in agriculture for betterment of society.

Originality/value

This paper provides a comprehensive review of extant literature and presents a theoretical framework for researchers to further examine the interaction of independent variables responsible for adoption of AI in agriculture.

Peer review

The peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-10-2020-0448

Details

Online Information Review, vol. 46 no. 6
Type: Research Article
ISSN: 1468-4527

Keywords

Article
Publication date: 20 October 2023

Sandeep Goyal, Sumedha Chauhan, Yuvraj Gajpal and Amit Kumar Bhardwaj

A food delivery app (FDA) is a technological advancement connecting restaurants and consumers, making it possible to deliver food home conveniently. The current study seeks to…

Abstract

Purpose

A food delivery app (FDA) is a technological advancement connecting restaurants and consumers, making it possible to deliver food home conveniently. The current study seeks to identify the factors affecting consumers' continuance intention and sharing intention toward the FDA in the USA and Canada using an integrated framework built using trust transfer theory and a variety of constructs.

Design/methodology/approach

The authors collected data/inputs from 476 respondents in the USA and Canada who had used FDAs in the past and analyzed them using the structural equation modeling technique.

Findings

The results indicate that trust in FDA, trust in the user community and commitment affect continuance intention and sharing intention. Interestingly, trust in the seller does not influence commitment, continuance intention and sharing intention. Additionally, the trust disposition and reputation of the FDA play an important role in building trust in FDA.

Research limitations/implications

The present study combines the trust transfer theory with various important constructs such as commitment, trust disposition and reputation of the FDA to build an integrated framework to elucidate the continuance intention and sharing intention toward FDAs.

Practical implications

This study facilitates the FDA providers to understand how trust disposition, the reputation of the FDA and trust in the Internet build trust among FDA consumers. The study also helps them to fine-tune their trust-building strategy by considering several trust targets. It further enables them to appreciate how commitment results in continuance intention and sharing intention toward FDA.

Originality/value

It is an original study investigating the role of various constructs and trust transfer theory in shaping the consumers' continuance intention and sharing intention toward the FDA.

Details

Journal of Enterprise Information Management, vol. 36 no. 6
Type: Research Article
ISSN: 1741-0398

Keywords

Article
Publication date: 27 July 2023

Parul Gupta, Fangfang Zhang, Sumedha Chauhan, Sandeep Goyal, Amit Kumar Bhardwaj and Yuvraj Gajpal

This study aims to examine the factors (Stimuli) enhancing perceived utilitarian, social and conditional values (Organisms) of social commerce (s-commerce) platforms and their…

Abstract

Purpose

This study aims to examine the factors (Stimuli) enhancing perceived utilitarian, social and conditional values (Organisms) of social commerce (s-commerce) platforms and their impact on small and medium enterprises’ (SMEs’) behavioral intention (Response) to adopt s-commerce.

Design/methodology/approach

Survey data were gathered from 304 Indian SMEs using s-commerce platforms. Data were analyzed using SmartPLS 3 software.

Findings

The results indicated that perceived values significantly impact SMEs’ behavioral intention to adopt s-commerce. Among conditional, utilitarian and social values, the conditional value of s-commerce sites was found to be the strongest motivator for SMEs to adopt s-commerce.

Research limitations/implications

This research contributes to the growing literature on s-commerce, explaining how perceived value influences the decision of SMEs to adopt s-commerce platforms.

Practical implications

Among the significant influencers, perceived usefulness and perceived reputation were found to be the most effective triggers that stimulate perceived values of s-commerce sites. The findings draw due attention from policymakers toward environmental cues such as the legal and regulatory environment, which are instrumental in creating the most important perceived value for SMEs, i.e. conditional value.

Originality/value

By employing the inputs from the theory of consumption values and the Stimulus-Organism-Response framework, this original study looked beyond the technology factors and examined the role of perceived values of s-commerce platforms in shaping SMEs’ behavioral intention to adopt.

Details

Journal of Enterprise Information Management, vol. 37 no. 3
Type: Research Article
ISSN: 1741-0398

Keywords

Book part
Publication date: 23 April 2024

Tanveer Kajla, Sahil Raj and Amit Kumar Bhardwaj

The purpose of the study is to analyse the impact of COVID-19 on the hospitality industry during the rise of worldwide pandemic crises using Twitter analysis. The study is based…

Abstract

The purpose of the study is to analyse the impact of COVID-19 on the hospitality industry during the rise of worldwide pandemic crises using Twitter analysis. The study is based on 57,794 English-language tweets mined from Twitter from 1 April 2020 to 15 October 2020. Based on thematic and sentiment analysis, the study found that overall sentiments expressed on Twitter were negative. This chapter contributes to existing knowledge about the COVID-19 crisis and broadens the respondents’ understanding of the potential impacts of the crisis on the most vulnerable tourism and hospitality industry. This research emphasises the sustainable revival of the hospitality industry.

Details

Digital Influence on Consumer Habits: Marketing Challenges and Opportunities
Type: Book
ISBN: 978-1-80455-343-5

Keywords

Content available
Book part
Publication date: 23 April 2024

Abstract

Details

Digital Influence on Consumer Habits: Marketing Challenges and Opportunities
Type: Book
ISBN: 978-1-80455-343-5

Article
Publication date: 27 February 2020

Jitendra Pratap Singh, Pawan Kumar Chand, Amit Mittal and Arun Aggarwal

The manufacturing industry is presently experiencing technological disruption on a global scale. Consequently, to tackle such disruption, firms are identifying a volatile…

1371

Abstract

Purpose

The manufacturing industry is presently experiencing technological disruption on a global scale. Consequently, to tackle such disruption, firms are identifying a volatile, uncertain, complex and ambiguous (VUCA) scenario and seeking ways to counter it. Accordingly, this paper aims to investigate the employee performance through assessing organizational citizenship behaviour (OCB) among the shop floor employees of the fast-moving consumer goods (FMCG) industry where a high-performance work system (HPWS) has been implemented.

Design/methodology/approach

A descriptive research design was used in the study, and 395 shop floor employees working in leading multinational firms, with a minimum global turnover of US$1bn, were interviewed. These manufacturing firms were located in three industrial clusters in the northern part of India.

Findings

The results indicate that HPWS influences OCB. Most of the dimensions of HPWS and OCB were found to be positively associated. The findings also disprove the labour process theory in the context of the study.

Practical implications

The findings report a broad view of the relationship between HPWS and OCB in the Indian manufacturing context. The study offers the practical insights that HPWS is a universally accepted framework and that organizations should focus on the effective implementation of HPWS in a VUCA scenario, which is in line with past studies. The study also provides future directions for research.

Originality/value

This paper has established the relationship between HPWS and OCB in the manufacturing sector, especially for shop floor employees.

Details

Benchmarking: An International Journal, vol. 27 no. 4
Type: Research Article
ISSN: 1463-5771

Keywords

Book part
Publication date: 9 December 2024

Namrata Prakash, Monu Bhardwaj and Priya Jindal

Modern technologies today are reshaping the field of marketing management. The transformative impact of new-age technologies, such as data analytics, artificial intelligence (AI)…

Abstract

Modern technologies today are reshaping the field of marketing management. The transformative impact of new-age technologies, such as data analytics, artificial intelligence (AI), automation, social media advancements, virtual reality (VR), and augmented reality (AR), has brought a huge change in the way businesses are developing their strategies and tackling their business rivals. It focuses on the challenges and opportunities that marketing managers face in adapting to these technological changes amidst rising concerns for data security and privacy. The chapter highlights the pivotal role of incorporating new-age technologies in staying ahead in the competitive scenario. The utility of social media platforms is there nowadays more for consumer engagement. Furthermore, it stresses the need for marketing managers to embrace and harness these technologies to stay competitive in a rapidly evolving landscape. The chapter aims to analyze the key new-age technologies, understand their applications in marketing management, evaluate their benefits, and assess various challenges and opportunities faced while implementing these new technologies. The chapter concludes that the integration of new-age technologies into marketing management has brought forward exceptional possibilities for connecting with consumers, driving innovation, and redefining the boundaries of marketing strategies. The synergy between marketing management and new-age technologies is shaping the present and future of business–customer interactions in profound and exciting ways.

Details

Augmenting Retail Reality, Part B: Blockchain, AR, VR, and AI
Type: Book
ISBN: 978-1-83608-708-3

Keywords

Article
Publication date: 30 August 2023

Sneha Badola, Aditya Kumar Sahu and Amit Adlakha

This study aims to systematically review various behavioral biases that impact an investor’s decision-making process. The prime objective of this paper is to thematically explore…

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Abstract

Purpose

This study aims to systematically review various behavioral biases that impact an investor’s decision-making process. The prime objective of this paper is to thematically explore the behavioral bias literature and propose a comprehensive framework that can elucidate a more reasonable explanation of changes in financial markets and investors’ behavior.

Design/methodology/approach

Systematic literature review (SLR) methodology is applied to a portfolio of 71 peer-reviewed articles collected from different electronic databases between 2007 and 2021. Content analysis of the extant literature is performed to identify the research themes and existing gaps in the literature.

Findings

This research identifies publication trends of the behavioral biases literature and uncovers 24 different biases that impact individual investors’ decision-making. Through thematic analysis, an attribute–consequence–impact framework is proposed that explains different biases leading to individual investors’ irrationality. The study further proposes directions for future research by applying the theory–characteristics–context–methodology framework.

Research limitations/implications

The results of this research will help scholars and practitioners in understanding the existence of various behavioral biases and assist them in identifying potential strategies which can evade the negative effects of these biases. The findings will further help the financial service providers to understand these biases and improve the landscape of financial services.

Originality/value

The essence of the current paper is the application of the SLR method on 24 biases in the area of behavioral finance. To the best of the authors’ knowledge, this study is the first attempt of its kind which provides a methodical and comprehensive compilation of both cognitive and emotional behavioral biases that affect the individual investor’s decision-making.

Details

Qualitative Research in Financial Markets, vol. 16 no. 3
Type: Research Article
ISSN: 1755-4179

Keywords

Article
Publication date: 23 December 2020

Amit Kumar, Julia Connell and Asit Bhattacharyya

Over the past few decades, many initiatives have been proposed in response to critical environmental challenges. However, in most cases, progress has been inadequate, raising…

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Abstract

Purpose

Over the past few decades, many initiatives have been proposed in response to critical environmental challenges. However, in most cases, progress has been inadequate, raising questions as to why so few organisations have been successful in adopting effective sustainability measures. To address this dilemma, this paper aims to propose a range of sustainability-related co-opetitive strategies that are likely to be beneficial for organisations and society. The research findings provide support for co-opetitive approaches to corporate social responsibility (CSR) and sustainability by providing evidence within an Australian context.

Design/methodology/approach

Research methods comprised 14 interviews with senior executives/managers from private and public sector organisations in Australia. Thematic content analysis indicates the presence of three types of drivers (commonality-driven, competition-driven and collaboration-driven) and three critical success factors (governance, public policy and relationship principles) related to co-opetition, CSR and sustainability.

Findings

Findings indicate that inter-firm co-opetition could be considered a viable strategy to improve performance across the economic, social and environmental dimensions of sustainability. Limitations concern the number of interviews conducted.

Originality/value

Based on the research findings, a typology was created that depicts different forms of co-opetition in CSR/sustainability and their relationships with firm performance. Moreover, the typology illustrates the importance of co‐opetitive partnerships in supporting effective responses to sustainability challenges and opportunities.

Details

Sustainability Accounting, Management and Policy Journal, vol. 12 no. 6
Type: Research Article
ISSN: 2040-8021

Keywords

Article
Publication date: 16 July 2021

Amit Chopra, Anish Sachdeva and Arvind Bhardwaj

The industry is relying on the preventive maintenance techniques that can minimize failures and provide industrial plants with effective equipment, but in many companies the…

Abstract

Purpose

The industry is relying on the preventive maintenance techniques that can minimize failures and provide industrial plants with effective equipment, but in many companies the maintenance tasks are performed very frequently and not as per plan and do not take into consideration the conditions of the plant and equipments. The failure of each and every component needs to be studied in order to choose the best maintenance strategy. This paper presents a fuzzy VIKOR (Multicriteria Optimization and Compromise Solution) technique which is used in developing a comprehensive approach for maintenance strategy selection in the Deinking plant of the paper industry to choose the appropriate maintenance strategy thereby reducing the unnecessary cost incurred on the maintenance.

Design/methodology/approach

In this paper, the Fuzzy VIKOR based methodology was applied for determining the maintenance criticality index of the deinking plant of the paper industry. The effect of failure of components were evaluated by three maintenance experts on five performance criteria that is chance of failure, chance of non-detection, downtime length, severity, spare part criticality. The components were ranked according to the maintenance criticality index and thereby implementing the appropriate maintenance strategy.

Findings

The Fuzzy VIKOR technique was applied to calculate the ranking of various components of paper industry based on the views and judgment of three maintenance experts. The proposed technique suggested the appropriate maintenance strategy for various components taking into consideration the maintenance criticality index of the components.

Originality/value

The proposed technique will help the maintenance managers to solve a discrete problem with non-commensurable and conflicting criteria. The study will help the industries to reduce the unnecessary maintenance tasks and thereby reduce the maintenance cost. This will help the maintenance practitioners in choosing the best and most effective strategy for the organization with regard to the market and company situation especially in the changing business requirement of Industry 4.0.

Details

International Journal of Quality & Reliability Management, vol. 39 no. 5
Type: Research Article
ISSN: 0265-671X

Keywords

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