About
22
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Introduction
Chetna Chauhan is an Assistant Professor at Universidad de los Andes, Bogotá, Colombia.
Skills and Expertise
Current institution
Additional affiliations
June 2012 - June 2014
Education
July 2008 - July 2012
Publications
Publications (22)
The circular economy (CE) has the potential to capitalise upon emerging digital technologies, such as big data, artificial intelligence (AI), blockchain and the Internet of things (IoT), amongst others. These digital technologies combined with business model innovation are deemed to provide solutions to myriad problems in the world, including those...
The outbreak of COVID-19 has exposed vulnerabilities of supply chains (SCs) and has further accentuated the importance of creating resilient, agile and sustainable SCs. The present study assesses the role of SC technology capabilities in supporting organisations to enhance their SC resilience, thereby improving them on the sustainability front. Dra...
The prior literature has discussed the benefits of the circular economy business model (CEBM) while working to streamline the environmental aspect, touching upon the social aspect and improving the economic aspect. These aspects have been widely recognised as pillars of sustainability. Thus, prior scholars have sought to identify the relationship b...
Purpose
Entrepreneurship across sectors has been impacted by the paradigm of open innovation in the last few decades. Although Open Innovation is argued to impact firm performance the strategic building blocks of open innovation are not discussed in the prior literature. This study aims to conceptualize open innovation and identify the antecedents...
The global push towards sustainable development has led to an upsurge in academic literature at the juncture of supply chain collaboration (SCC) and sustainability. The present paper aims to map this growing literature to understand how SCC can contribute to the achievement of broader Sustainable Development Goals (SDGs). Via a systematic review of...
With the outbreak of the COVID-19 pandemic, the world has been exposed to one of the most severe healthcare crises in recent years. The extraordinary distress triggered by COVID-19 has evolved into a global economic shock. The infection that first came to light in China triggered a worldwide economic decline. The slump due to the pandemic will be e...
Literature on the circular economy business model (CEBM) has witnessed a sharp upsurge in recent years. Although, CEBM has been investigated in several ways such as green business model, waste management, digital technology, supply chain, and financial impact of CEBM. Yet, the critical analysis of prior literature has not attracted scholarly attent...
Supply chain responsiveness creates value for firms and their stakeholders and is a key towards generating above-normal profits for firms. Consequently, there has been a surge of research on it, which has expanded due to the pressures to be responsive during the pandemic of COVID19. Responsiveness is an attribute wherein the supply chains are equip...
This study examines the adoption of subscription-based video on demand (SVOD) streaming services among consumers. Primarily, we explore the moderating effect of the two models of streaming services, standalone streaming services and bundled streaming services, on the users’ adoption. We employ the Unified Theory of Acceptance and Use of Technology...
This study examines the state of the art of the literature in the domain of food loss and waste (FLW) in food supply chains (FSC). The authors used a systematic literature review (SLR) approach to examine and synthesise the findings of the existing literature to identify the key research themes, research gaps and avenues of future research on FLW i...
The pace of Industry 4.0 adoption in manufacturing industries has been slow as it is accompanied by several barriers, specifically in the emerging economies. The current study intends to identify and understand the landscape of these challenges. Further, this paper prioritizes the challenges on the basis of their relative importance. To achieve thi...
This study empirically examines the green consumption behaviours of young consumers in India by employing the theory of planned behaviour (TPB) as a core theoretical framework. In addition to examining the tenets of TPB, we also investigate the cognitive and external contingencies that may influence the green consumption behaviours of young consume...
The literature has proposed several barriers to Industry 4.0 adoption or digitalisation. The present study assesses how the intrinsic and extrinsic barriers to digitalisation affect Industry 4.0 adoption by the firms. The paper also evaluates how these barriers influence the linkage between digitalisation and the firm’s performance with regards to...
The pace of Industry 4.0 adoption in manufacturing industries has been slow as it is accompanied by several barriers, specifically in the emerging economies. The current study intends to identify and understand the landscape of these challenges. Further, this paper prioritizes the challenges on the basis of their relative importance. To achieve thi...
Generation of healthcare waste from different patient care activities in hospitals, pathology labs and research centers has been a matter of great concern for environmental and social bodies across the world. This concern comes from its infectious and hazardous nature which brings life taking disease such as human immunodeficiency virus and Hepatit...
Purpose – The purpose of this paper is to assess how the emergent theme of industry 4.0 is
considered in the context of supply chain management (SCM) and to identify important areas for
future research.
Design/methodology/approach – A systematic literature review of 334 studies is carried out. The
papers have been analyzed by having a focus on the...
Purpose
In recent years, the two increasingly popular topics, namely, Industry 4.0 and circular economy (CE) have attracted the attention of many academicians and practitioners. However, the connection between CE and Industry 4.0 has not been much investigated in the literature. Motivated by this gap, the purpose of this paper is to integrate these...
Managing knowledge has become a critical aspect of the contemporary business landscape. In addition, business no longer has profit as the sole purpose of existence. Therefore, there has been growing impetus for socially and environmentally conscious business actions. The present article takes a dimensional view of the process of knowledge managemen...
Purpose
With rising environmental concerns, recent years have witnessed a significant surge of academic and corporate interest in green supply chain coordination (GSCC). This is evident from the rise in channel coordination literature focused towards the elimination of sub-optimal in the green supply chain (GSC). This paper seeks to summarize the...
Questions
Questions (9)
The normality assumption is critical in statistics for parametric hypothesis testing of the mean, such as the t-test. As a result, we may believe that these tests are invalid when the population is not normally distributed. But, if our sample size is large enough, the central limit theorem comes into effect and creates sampling distributions that are close to normal. Because of this, we can apply parametric hypothesis tests even if population is not normally distributed, as long as sample size is large enough.
Then what is the use of non-parametric tests?
Prior to the fall of the Wall, the world was divided into two economic blocs - the Western capitalist bloc led by the United States and the Eastern communist bloc led by the Soviet Union. It is understandable that the division created significant barriers to trade and investment between the two blocs.
How did the fall of this wall impact the trade in Europe as well as world trade?
Is predictive analytics a subset of inferential statistics or is it a different concept?
I am finding it difficult to operationalize/ define last-mile logistics. As far as I understand there are several last-mile fulfilment options (conventional shopping, locker station etc.).
I believe last mile distribution encompasses last-mile delivery, and last mile fulfilment. How does last-mile logistics differ from these concepts?
Can someone provide me papers/ articles/videos related to CA in Stata? I need to understand it better.
I want to understand the differences between FA and PCA clearly.
I am more confused by what Stata is doing with the
"principal-components factors" option in the "factor" command. I get
different results (loadings) for "PCA" and "factor PCF" even when I
restrict the number of components/factors to be the same for each
procedure.
How can we test for endogeneity problem in cross-sectional data? Are there any tests? I don't know much about econometrics.
I am confused with respect to the assessment of IVs in regression. The DV is Profit (in dollars). The IVs are (1) Tenure of employees (in months) (2) store visibility (Likert scale) (3) locality (categorical variable).
The question is "whether tenure is more important or the other factors are more important, for the profit?"
To compare the importance of these IVs, should I run regression and look at standardized coefficients? or should I find incremental R squared for each of the IVs?
