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Article
Publication date: 8 October 2021

Abhishek Behl, Brinda Sampat and Sahil Raj

Gig workers form the backbone of any crowdsourcing platform where they showcase their talent and choose a job of their choice and freedom. The study explores the role of…

Abstract

Purpose

Gig workers form the backbone of any crowdsourcing platform where they showcase their talent and choose a job of their choice and freedom. The study explores the role of information quality (IQ) and social-mediated dialogue (SMD) in evaluating gig worker engagement and productivity on crowdsourcing platforms. The authors also propose to understand how gig worker productivity could be improved under the moderating effect of game elements.

Design/methodology/approach

A conceptual model was developed and empirically tested by integrating media richness theory and dialogic public relation theory. Data were collected from gig workers that are involved in crowdsourcing activities for the past three years. An overall sample of 346 gig workers contributing to at least one of the crowdsourcing platforms was collected. The authors tested the hypotheses using Warp PLS 7.0. Warp PLS 7.0 uses partial least square (PLS) structured equation modeling (SEM) and has been used widely to test path analytical models.

Findings

Results reveal that the information quality plays an essential role in the SMD, thereby fostering gig workers' productivity and engagement, which could be improved in the presence of game elements due to their nature of supporting rewards. However, engagement in the platform leading to improved productivity was not supported.

Practical implications

The study lays practical foundations for crowdsourcing platforms as it sets the importance of both IQ and dialogic communication channels. The two-way communication between gig workers and the platforms via accurate, timely, valuable and reliable information forms the key to the task's success. The introduction of the right game element will help to achieve better engagement and productivity.

Originality/value

This study also offers a new dimension to media richness theory and dialogic public relation theory in crowdsourcing platforms. The results would help platform designers and gig employers understand gig workers' quality and performance in a platform economy. The study uniquely positions itself in the area of crowdsourcing platforms by using game elements.

Details

The TQM Journal, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1754-2731

Keywords

Content available
Article
Publication date: 20 July 2021

Abhishek Behl and Justin Zuopeng Zhang

221

Abstract

Details

Young Consumers, vol. 22 no. 3
Type: Research Article
ISSN: 1747-3616

Article
Publication date: 19 August 2020

Abhishek Behl, Pankaj Dutta, Pratima Sheorey and Rajesh Kumar Singh

The study explores the role of dialogic public communication and information quality (IQ) in evaluating the operational performance of donation-based crowdfunding (DBC…

Abstract

Purpose

The study explores the role of dialogic public communication and information quality (IQ) in evaluating the operational performance of donation-based crowdfunding (DBC) tasks. These tasks are primarily used to support disaster relief operations. The authors also test the influence of cognitive trust and swift trust as moderating variables in explaining the relationship between both IQ and dialogic communication with operational performance.

Design/methodology/approach

The authors used a primary survey to test the hypotheses. A total of 203 responses were collected from multiple crowdfunding platforms. The authors used archival data from task creators on donation-based crowdfunding platforms, and a structured questionnaire is also used to collect responses. Data are analyzed using Warp PLS 6.0. Warp PLS 6.0 works on the principle of partial least square (PLS) structured equation modeling (SEM) and has been used widely to test path analytical models.

Findings

The authors found out that the operational performance is explained significantly by the quality of information and its association with dialogic public communication. The results support the arguments offered by dialogic public communication theory and trust transfer theory in assessing the operational success of DBC. The study also confirms that cognitive trust positively moderates the relationship between IQ and organizational public dialogic communication and operational performance. It is also revealed that the duration of the DBC task has no significant control over dialogic public communication.

Practical implications

The study lays practical foundations for task creators on DBC platforms and website designers as it sets the importance of both IQ and dialogic communication channels. The communication made by the task creator and/or the DBC platforms with the donors and potential donors in the form of timely and appropriate information forms the key to the success of any DBC task. The study also helps task creators choose a suitable platform to improve performance.

Originality/value

The authors propose a unique framework by integrating two theoretical perspectives: dialogic public relation theory and trust transfer theory in understanding the operational performance of donation-based crowdfunding tasks. The authors address DBC tasks catering to disaster relief operations by collecting responses from task creators on DBC platforms. The study uniquely positions itself in the area of information and communication.

Details

The TQM Journal, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1754-2731

Keywords

Article
Publication date: 15 September 2021

Minhua Yang, Vikash Ramiah, Vijay Pereira, Yama Temouri and Abhishek Behl

This paper documents and links firm- and country-level outcomes to the United Nations Sustainable Development Goals (UNSDGs) by portraying how the Chinese economy has…

Abstract

Purpose

This paper documents and links firm- and country-level outcomes to the United Nations Sustainable Development Goals (UNSDGs) by portraying how the Chinese economy has fared during the COVID-19 crisis. It does so by shedding light on the factors that determine the effectiveness of health policies implemented in China.

Design/methodology/approach

Unlike the prior literature, in which lagging performance measures are used, the authors use leading indicators with event study methodology to develop effectiveness scores and identify the determinants of effectiveness, including financial variables, firm infection, geographical location of the spread, travel bans, lockdown periods, policies of home quarantine, health innovations and other innovative measures undertaken by the Chinese authorities.

Findings

The detailed disaggregated results show many dimensions where abnormal returns are indeed associated with various health policies and that the effectiveness, influenced by firm size, profitability, firm infection and location. The results remain robust when the authors control for various event windows and models and provide evidence of a strong UNSDG link, which the authors draw up a list.

Research limitations/implications

Apart from the quantitative analysis approach, future studies can complement and add further insights by utilizing qualitative research approaches.

Practical implications

The results offers robust evidence for policy-makers and firm managers on how a crisis of such proportions and subsequent health policies is affecting different firms and why.

Social implications

The study shows how COVID-19 health policies open a new dimension in terms of energy demand reduction and lower emissions, factors linking to the UNSDGs.

Originality/value

The study is the first to show detailed disaggregated results across many dimensions where abnormal returns are indeed associated with various health policies and that the effectiveness, influenced by firm size, profitability, firm infection and location.

Details

Journal of Enterprise Information Management, vol. 35 no. 1
Type: Research Article
ISSN: 1741-0398

Keywords

Article
Publication date: 29 August 2022

Amanpreet Kaur, Vikas Kumar, Rahul Sindhwani, Punj Lata Singh and Abhishek Behl

Due to the financial disturbances created by the COVID-19 pandemic and the burden on the government exchequer, it is expected to see a rise in the knowledge base of the…

109

Abstract

Purpose

Due to the financial disturbances created by the COVID-19 pandemic and the burden on the government exchequer, it is expected to see a rise in the knowledge base of the research corpus so far as the government's fiscal sustainability is concerned. Therefore, the present research examines a systematic quantitative analysis of public debt sustainability research by applying a bibliometric approach. Research also analyzes journals, institutions, countries and authors contributing to public debt sustainability.

Design/methodology/approach

This paper scrutinizes the published scientific research on public debt sustainability based on the dataset of 535 articles from 1991 to 2021 obtained from the Scopus database. Biblioshiny (R-based application) and VoSviewer software were used to perform bibliometric analysis through Performance analysis and science mapping techniques. The authors combined co-citation analysis (CCA), bibliometric analysis, keyword co-occurrence analysis (KCA) and a conceptual thematic map of the most cited articles to find the intellectual structure.

Findings

The research identified three dominating clusters, e.g. fiscal sustainability and policy rules, empirical sustainability testing and debt and growth dynamics. Another finding was that most articles were analytical and empirical and few descriptive articles were found. Owing to the empirical nature of the domain, the issues concerning public debt sustainability have continued to change over the past decades for different economies, reflecting the complexity and diversity of economic structures of different economies at different times.

Originality/value

The insight of this article provides academicians and researchers with a more refined comprehension of the conceptual and intellectual structure of the research corpus. The present research complements the existing literature review studies by pushing the research towards emerging or less developed issues such as financial and debt crises.

Details

International Journal of Emerging Markets, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1746-8809

Keywords

Article
Publication date: 17 June 2022

Thanh Tiep Le, Abhishek Behl and Vijay Pereira

This paper aims to examine the mechanism of how circular economy practices (CEP) and circular economy entrepreneurship (CEE) promote sustainable supply chain management…

Abstract

Purpose

This paper aims to examine the mechanism of how circular economy practices (CEP) and circular economy entrepreneurship (CEE) promote sustainable supply chain management (SCM) and facilitate sustainable performance (SP) for small and medium-sized enterprises (SMEs) in the food value chain in emerging economy. In this context, this mechanism involves the mediating role of sustainable SCM in the relationship between CEP and SP. Simultaneously, it involves the moderating role of CEE in the link between CEP and sustainable SCM.

Design/methodology/approach

The paper follows a quantitative approach. Based on systematic literature review on the field, the nexus amongst the constructs were proposed. The Smart partial least square (PLS) version 3.3.2 was employed to analyze structural equation modeling (SEM) to investigate the relationships between constructs and latent variables. There were 457 valid responses obtained from the survey participants, those are managers at senior and middle levels. The data collected was then used for quantitative analysis and assessment.

Findings

The main finding of this study is twofold. First, it sheds light on how CEE associates in strengthening the influence of CEP on sustainable SCM. By this way, the better the CEE, the stronger the impact of the CEP on the sustainable SCM, leading to long-term sustainability. Second, it reveals how sustainable SCM mediates the link between CEP and SP. By this way, the better the CEP, the more the SCM is sustainable, ultimately leading to SP. This contribution is paramount because experimental research on this mechanism has not been intensively explored in the current literature.

Originality/value

The originality of this study is the provision of scientific knowledge and practical mechanisms for the introduction and application of CEP to business behaviors and practices in a real-world context that exists as a research gap in the current literature. In this respect, this study contributes to expanding the existing literature in the field by providing empirical evidence for the mechanism as stated. Furthermore, it provides a practical mechanism for SMEs in given context to enable them apply efficiently the circular economy perspective to their businesses to help them achieve SP. These contributions may be of interest to business practitioners, business leaders, academics and policymakers in the areas that are of their concerns.

Details

Management Decision, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0025-1747

Keywords

Article
Publication date: 13 April 2022

Le Dang Lang, Nguyen Trung Dong, João J.M. Ferreira, Abhishek Behl and Le Trung Dao

The crucial action program of United Nations is sustainable development. In the context of lockdown and food supply chain disruptions in many developing countries due to…

Abstract

Purpose

The crucial action program of United Nations is sustainable development. In the context of lockdown and food supply chain disruptions in many developing countries due to COVID-19, sustainable agribusiness entrepreneurship (SAE) must be investigated to contribute to the global safe-food supply chain resilience. Furthermore, this pandemic might have changed cognitive social capital (i.e. perceived shared norms, civicness and community cohesiveness) and relational social capital (i.e. social trust). Therefore, this study aims to examine their role in forming agribusiness entrepreneurs’ SAE intentions under the lens of sustainable development in the pandemic context.

Design/methodology/approach

This study uses a mixed-methods approach with resources for structural equation modeling. A sample of 499 Vietnamese agribusiness entrepreneurs to reconcile scales and test hypothesized relationships.

Findings

The study reconciles the existing constructs’ scales and develops a new scale measuring SAE intention. The findings show that the extended theory of planned behavior (ETPB) model is an ideal theoretical framework for predicting behavioral intentions in sustainability. The study also discovers the role of cognitive social capital and relational social capital in motivating SAE intentions. Also, some managerial implications are suggested for agribusinessmen to survive and succeed during the COVID-19 crisis.

Originality/value

To the best of the authors’ knowledge, this study is considered the first to investigate the role of cognitive social capital and relational social capital in motivating SAE in an emerging market using the ETPB. The findings will help emerging economies, where most farmers are family-business owners or micro-scaled entrepreneurs who have been facing the increasing trend of sustainable production and consumer.

Article
Publication date: 10 June 2020

Abhishek Behl

The study aims to understand how big data analytics capabilities of tech startups help them gain competitive advantage and improve their firm performance. The study is…

1537

Abstract

Purpose

The study aims to understand how big data analytics capabilities of tech startups help them gain competitive advantage and improve their firm performance. The study is performed for two countries: India and China. A comparative analysis is also discussed in the study.

Design/methodology/approach

The study collected responses from tech startups from both India and China. A total of 502 responses were collected with 269 from India and 233 from China. The results were analyzed using Warp PLS 6.0 after testing for common method bias, endogeneity and reliability of data. The study tested five primary hypotheses and also tested the effect of two control variables: country of origin of startup and age of the startup.

Findings

We found that big data analytics capabilities have a positive and significant impact on the firm performance and competitive advantage of tech startups. While organizational culture proved to have a positive impact as a moderator, innovation was found to have non-significant effect. The results also found to have non-significant effect of age of the firm while its country of origin does play an important role in defining its success.

Originality/value

The study offer key insights for the tech startups operating in two countries which are geographically neighbors but differ in the tech expertise from each other. Moreover, the study offers key insights on how does the origin of the country contributes significantly to explaining the success and competitiveness of the firm.

Details

Management Decision, vol. 60 no. 2
Type: Research Article
ISSN: 0025-1747

Keywords

Abstract

Details

International Journal of Organizational Analysis, vol. 30 no. 4
Type: Research Article
ISSN: 1934-8835

Article
Publication date: 26 April 2022

Achint Nigam, Abhishek Behl, Vijay Pereira and Shreya Sangal

The paper explores how consumer behavior for purchasing impulse products changed in the complex and disruptive (emergency) situation of the COVID-19 pandemic when the…

Abstract

Purpose

The paper explores how consumer behavior for purchasing impulse products changed in the complex and disruptive (emergency) situation of the COVID-19 pandemic when the customer is shopping in-home and not visiting the offline stores in an emerging economy context. This paper further explores how digital transformations like the use of blockchain technology can aid offline/omnichannel retailers in reviving sales via permission marketing for impulse products.

Design/methodology/approach

The authors followed a qualitative research design and conducted 24 personal interviews with millennials and 15 interviews with offline/omnichannel retailers from an emerging economy. The data collected were analyzed using the thematic analysis procedure.

Findings

The authors discuss their findings under three themes – customers' conscious impulse buying during the pandemic, customers' unconscious impulse buying during the pandemic, and a viable solution for retailers in response to the pandemic.

Practical implications

The authors suggest that marketers primarily from an offline/omnichannel store should adapt to permission marketing and use technologies like blockchain for the digital transformation of their marketing strategies. Doing so can help offline retailers minimize future damages in the retail sector during emergency situations.

Originality/value

This paper is one of the first that explores how impulse – pure, suggestion, planned and reminder – purchases got affected during the COVID-19 pandemic disruptions in an emerging economy. This paper is also one of the first to explore the role of permission marketing and digital transformation by the use of blockchain in helping offline retailers in forming swift trust and practice trust-based marketing.

Details

Industrial Management & Data Systems, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0263-5577

Keywords

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