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2.
British Food Journal ; 125(3):1026-1053, 2023.
Article in English | ProQuest Central | ID: covidwho-2228740

ABSTRACT

PurposeThe purpose of this study is to determine the antecedents of obesity among the younger generation of Indians (Generation Y) from a psychological and lifestyle consumer perspective. The study also investigates the moderating role of demography on the body mass index (BMI) of Indian youths.Design/methodology/approachThe study initially develops a conceptual model, stemming from an extensive theoretical research, and subsequently validates this using structural equation modeling (SEM) technique with a sample size of 1,242 Indian youths.FindingsThe study concludes that consumers' food habits (FH) and physical activity (PA) positively impact consumers' physical health (PH), which influences their BMI levels (BLs). Anxiety (AX), depression (DE), stress (ST), peer pressure (PP) and work pressure (WP) impact individuals' mental health (MH), which also influences their BLs. Finally, there is a significant moderating impact of demographic factors, such as age (AG), gender (GE) and income levels (ILs) on the relationship between individuals' physical and MH and individuals' BLs.Research limitations/implicationsThis study proposes a new model which highlights the issue of youth consumer obesity from the psychological and lifestyle perspectives. The model is effective as it has a high explanative power of 73%. The study investigates consumer obesity from emerging market like India perspective, but the study does not examine consumer food consumption behavior and obesity from developed market perspective.Practical implicationsYouth obesity could be considered a global pandemic, and obesity rates among the Indian youth are also increasing. This study provides valuable inputs and understanding of consumer markets to policy makers, consumer protection institutions, organizations related to the food and beverage industry, healthcare workers and consumers themselves regarding the antecedents of youth obesity (BL) in developing and emerging markets.Originality/valueThe study adds value to the body of literature related to consumer obesity, FH, consumer psychology and lifestyle through findings that are new in terms of findings' specificity, contextual focus and explication. Moreover, the study extends the cognitive theory of DE and the theory of planned behavior (TPB). The research effectively offers significant theoretical and practicable market knowledge to both scholars and marketing practitioners, as well as policy makers and institutions dealing with youth obesity, particularly in emerging markets.

3.
The Journal of Consumer Marketing ; 40(2):193-208, 2023.
Article in English | ProQuest Central | ID: covidwho-2228733

ABSTRACT

Purpose>This study aims to empirically examine how consumer privacy concerns (CPC) impact smartphone usage for financial transactions. The study also investigates the moderating impact of regulations on this action.Design/methodology/approach>With the inputs from literature and related privacy theories, a theoretical model was developed. The model was later empirically validated using the partial least squares structural equation modeling technique with 367 respondents from India.Findings>The study finds that CPC significantly impacts on consumer behavior in using smartphones for financial transactions. The study also highlights that regulation has a moderating impact on consumer usage of smartphones for financial transactions.Research limitations/implications>This study provides valuable inputs to smartphone service providers, practitioners, regulatory authorities and policymakers on appropriate and secure usage of smartphones by consumers, ensuring privacy protection while making financial transactions.Originality/value>This study provides a unique model showing the antecedents of CPC to impact the behavioral reaction of smartphone users mediated through the ingredients of privacy calculus theory. Besides, this study analyzes the moderating effects of regulation on the use of smartphones for financial transactions. This is also a novel approach of this study.

4.
Ann Oper Res ; : 1-24, 2022 Oct 06.
Article in English | MEDLINE | ID: covidwho-2059910

ABSTRACT

Studies show that COVID-19 has increased the effects of misinformation and fake news that proliferated during the continued crisis and related turbulent environment. Fake news and misinformation can come from various sources such as social media, print media, as well as from electronic media such as instant messaging services and other apps. There is a growing interest among researchers and practitioners on how fake news and misinformation impacts on supply chain disruption. But the limited research in this area leaves a gap. With this background, the purpose of this study is to determine the role of fake news and misinformation in supply chain disruption and the consequences to a firm's operational performance. This study also investigates the moderating role of technology competency in supply chain disruption and operational performance of the firm. With the help of theories and literature, a theoretical model has been developed. Later, the conceptual model has been validated using partial least squares structural equation modeling. The study finds that there is a significant impact of misinformation and fake news on supply chain disruption, which in turn negatively impacts firms' operational performance. The study also highlights that firms' technology competency can improve the supply chain situation that has been disrupted by misinformation and fake news.

6.
Inf Syst Front ; 24(4): 1167-1187, 2022.
Article in English | MEDLINE | ID: covidwho-1942247

ABSTRACT

Literature notes that firms are keen to develop big data analytics capability (BDAC, e.g. big data analytics (BDA) management and technology capability) to improve their competitive performance (e.g. financial performance and growth performance). Unfortunately, the extant literature has limited understanding of the mechanisms by which firms' BDAC affects their competitive performance, especially in the context of small and medium-sized enterprises (SMEs). Using resource capability as the theoretical lens, this paper specifically examines how BDAC influences SMEs' competitive performance via the mediating role of business models (BMs). Also, this study explores the moderating effect of COVID-19 on the relationship between BDAC and BMs. Supported by Partial Least Squares-Structural Equation Modelling (PLS-SEM) and data from 242 SMEs in China, this study finds the mediating roles of infrastructure and value attributes of BMs in enhancing the relationship of BDAC on competitive performance. Furthermore, the improvement of financial performance comes from the matching of BDA management capability with infrastructure attributes of BMs, while the improvements in growth come from the matching of BDA management capability and BDA technology capability with value attributes of BMs. The result also confirms the positive moderating effects of COVID-19 on the relationship of BDA management capability and value attributes of BMs. This study enriches the integration of BDAC and BMs literature by showing that the match between BDAC and BMs is vital to achieve competitive performance, and it is helpful for managers to adopt an informed BDA strategy to promote widespread use of BDAs and BMs.

8.
International Journal of Entrepreneurial Behaviour & Research ; 28(5):1222-1244, 2022.
Article in English | ProQuest Central | ID: covidwho-1932023
11.
Competitiveness Review ; 32(3):277-281, 2022.
Article in English | ProQuest Central | ID: covidwho-1794944
12.
Ann Oper Res ; : 1-25, 2021 Nov 16.
Article in English | MEDLINE | ID: covidwho-1520382

ABSTRACT

The world is facing an unprecedented humanitarian crisis due to the COVID-19 pandemic. Humanitarian service systems are being empowered to tackle this crisis through the use of vast amounts of structured and unstructured data to protect vulnerable individuals and communities. Analytics has emerged as a powerful platform to visualise, predict, and prescribe solutions to humanitarian crises, such as disease containment, healthcare capacity, and emergency food supply. However, there is a paucity of research on the microfoundations of the humanitarian analytics empowerment capability. As such, drawing on dynamic capability theory and by means of a systematic literature review and thematic analysis, this study proposes an analytics empowerment capability framework for humanitarian service systems. The findings show that analytics culture, technological sophistication, data-driven insights, decision making autonomy, knowledge and skills, and training and development are crucial components of the analytics empowerment's capability to sense, seize, and remedy crisis situations. The paper discusses both theoretical and practical research implications.

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