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1 – 10 of 417Vimala Balakrishnan, Luqman Hakim Abdul Rahman, Jia Kai Tan and Yee Sin Lee
This systematic review aims to synthesize the literature reporting the motives, sociodemographic, attitude/behavior and impacts of fake news during the COVID-19 pandemic…
Abstract
Purpose
This systematic review aims to synthesize the literature reporting the motives, sociodemographic, attitude/behavior and impacts of fake news during the COVID-19 pandemic, targeting the general population worldwide.
Design/methodology/approach
A systematic review approach was adopted based on PRISMA, targeting articles published in five databases from January 2020 to November 2021. The screening resulted in 46 eligible papers.
Findings
Results indicate low level of awareness, knowledge, media/health literacy, low trust in science/scientists and entertainment/socialization to be the main motivating drivers for fake news dissemination, whereas the phenomenon is more prominent among those with low socio-economic status, and males. Negative impacts were reported due to fake news dissemination, especially violation to precautionary measures, negative affections, and low trust in government/news, with many believing that others are more susceptible to fake news than themselves.
Social implications
Considering the pandemic is still on-going and the deleterious consequences of fake news, there is a need for cohort-based interventions from the concerned authorities.
Originality/value
The systematic review covers a wide timeline of 23 months (i.e. up to end of 2022) targeting five well-known databases, hence articles examined are deemed extensive and comprehensive. The review specifically focused on the general population with results revealing interesting motives, sociodemographic profiles, attitude and impact of this phenomenon during the COVID-19 pandemic.
Peer review
The peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-02-2022-0082.
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V. Veeravel, Pradiptarathi Panda and A. Balakrishnan
The present study aims to verify whether there is a positive (negative) role being played by the institutional investors on the loss-making companies' performance.
Abstract
Purpose
The present study aims to verify whether there is a positive (negative) role being played by the institutional investors on the loss-making companies' performance.
Design/methodology/approach
The authors employ panel data regression and two-step system generalised method of moments (SYS-GMM) to test the above objective.
Findings
The empirical results clearly show that no positive relation is found between institutional investors and loss-making companies' performance.
Research limitations/implications
The findings of the study might have significant implications for firms to improve the firms' operational performance [return on assets (ROA)]. Also, the firm's financial performance [return on equity (ROE)] could be improved by increasing profitability which will reflect in the share prices of the firms whereby the performance can build the investors' confidence over the firm. Market performance (Tobin's Q) could be increased by providing more attractive offers and discounts to customers to capture the business opportunities available in the market.
Practical implications
The overall findings might have for reaching implications in the manufacturing sector with regard to allowing (disallowing) institutional investors.
Social implications
The results of the study may help both companies and institutional investors.
Originality/value
This is the maiden attempt to study whether loss-making companies could be positively (negatively) impacted by the arrival of sophisticated institutional investors [foreign institutional investors (FIIs) and domestic institutional investors (DIIs)]. Further, this study is largely different from previous studies in terms of using new variables which are related to firm characteristics and valuation multiples. Further, seeing if the institutional investors tend to enhance the firm performance is curious.
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Tim Gruchmann, Gernot M. Stadtfeld, Matthias Thürer and Dmitry Ivanov
Experiencing more frequent, system-wide disruptions, such as pandemics and geopolitical conflicts, supply chains can be largely destabilized by a lack of materials, services or…
Abstract
Purpose
Experiencing more frequent, system-wide disruptions, such as pandemics and geopolitical conflicts, supply chains can be largely destabilized by a lack of materials, services or components. Supply chain resilience (SCRES) constitutes the network ability to recover after and survive during such unexpected events. To enhance the understanding of SCRES as a system-wide quality, this study tests a comprehensive SCRES model with data from multiple industries.
Design/methodology/approach
The study proposes a theoretical framework conceptualizing SCRES as system quality, extending the classical proactive/reactive taxonomy by multiple system states consisting of the supply system properties, behaviors and responses to disruptions. Underlying hypotheses were tested using an online survey. The sample consists of 219 responses from German industries. Maximum likelihood structural equation modeling (ML-SEM) and moderation analysis were used for analyzing the survey data. The study was particularly designed to elaborate on supply chain theory.
Findings
Two pathways of parallel SCRES building were identified: proactive preparedness via anticipation and reactive responsiveness via agility. Both system responses are primarily built simultaneously rather than successively. The present study further provides empirical evidence on the central role of visibility and velocity in achieving comprehensive SCRES, while flexibility only exerts short-term support after a disruption. The study additionally points to potential “spillover effects” such as the vital role of proactive SCRES in achieving reactive responsiveness.
Originality/value
The present study confirms and expands existing theories on SCRES. While stressing the multidimensionality of SCRES, it theorizes the (inter-)temporal evolution of a system and offers practical guidelines for SCRES building in various industrial contexts. It thus supports the transformation toward more resilient and viable supply chains, contributing to the increasing efforts of middle-range theory building to achieve an overarching theory. The study also points to potential future research avenues.
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The author develops a bilateral Nash bargaining model under value uncertainty and private/asymmetric information, combining ideas from axiomatic and strategic bargaining theory…
Abstract
The author develops a bilateral Nash bargaining model under value uncertainty and private/asymmetric information, combining ideas from axiomatic and strategic bargaining theory. The solution to the model leads organically to a two-tier stochastic frontier (2TSF) setup with intra-error dependence. The author presents two different statistical specifications to estimate the model, one that accounts for regressor endogeneity using copulas, the other able to identify separately the bargaining power from the private information effects at the individual level. An empirical application using a matched employer–employee data set (MEEDS) from Zambia and a second using another one from Ghana showcase the applied potential of the approach.
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Jung-Kuei Hsieh, Sushant Kumar and Ning-Yu Ko
Showrooming presents a complex and evolving challenge to retail managers, as it signifies the emergence of new forms of exchange rules. The purpose of this research is to…
Abstract
Purpose
Showrooming presents a complex and evolving challenge to retail managers, as it signifies the emergence of new forms of exchange rules. The purpose of this research is to investigate how factors responsible for information search and evaluation affect showrooming and also consider the consumer mindset as a moderator.
Design/methodology/approach
This research undertakes three experimental designs to investigate how the push (i.e. assortment size), pull (i.e. price discount), and mooring (i.e. sunk cost) factors influence consumers' showrooming intention. Specifically, consumers' maximizing tendency plays the role of moderator.
Findings
The results reveal that push, pull, and mooring factors are significantly related to consumers' showrooming intention. Furthermore, the findings show that maximizers have higher showrooming intention than satisficers in the context of the push, pull, and mooring factors.
Originality/value
By integrating the push-pull-mooring framework and the maximizing mindset theory, this research proposes a novel research model and the empirical testing results support six hypotheses. The findings add to the body of knowledge in showrooming behavior by taking consumer mindset into account. The results also provide implications for practitioners to develop their retail strategies.
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Wantao Yu, Chee Yew Wong, Roberto Chavez, Mark Jacobs and Lakshminarayana Nittala
This study aims to examine the relationship between the three dimensions of intellectual capital (IC), i.e. human, social and organizational, and supply chain resilience (SCR…
Abstract
Purpose
This study aims to examine the relationship between the three dimensions of intellectual capital (IC), i.e. human, social and organizational, and supply chain resilience (SCR) through testing a primary (mediation) and competing (moderation) model.
Design/methodology/approach
Structural equation modelling and regression analysis were used to test the mediation and moderation models using survey data from Chinese manufacturers.
Findings
Dual processes in which human, social and organizational capitals build SCR are revealed: all three IC components act as knowledge stocks for informing each other, and both organizational and social capitals act as intervention mechanisms that draw knowledge resided within individuals and collectively deploy/enrich such knowledge for responding to supply chain disruptions.
Practical implications
The empirical results provide useful and timely guidance to managers on how to leverage knowledge resources to develop resilience, which is particularly valuable in the current volatile environment.
Originality/value
By empirically testing both the mediation and moderation models, this study provides crucial evidence for advancing the understanding of how the three IC components may be managed to achieve SCR, which is of critical importance for addressing the many unprecedented disruptions facing global supply chains and economies.
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Hingmire Vishal Sharad, Santosh R. Desai and Kanse Yuvraj Krishnrao
In a wireless sensor network (WSN), the sensor nodes are distributed in the network, and in general, they are linked through wireless intermediate to assemble physical data. The…
Abstract
Purpose
In a wireless sensor network (WSN), the sensor nodes are distributed in the network, and in general, they are linked through wireless intermediate to assemble physical data. The nodes drop their energy after a specific duration because they are battery-powered, which also reduces network lifetime. In addition, the routing process and cluster head (CH) selection process is the most significant one in WSN. Enhancing network lifetime through balancing path reliability is more challenging in WSN. This paper aims to devise a multihop routing technique with developed IIWEHO technique.
Design/methodology/approach
In this method, WSN nodes are simulated originally, and it is fed to the clustering process. Meanwhile, the CH is selected with low energy-based adaptive clustering model with hierarchy (LEACH) model. After CH selection, multipath routing is performed by developed improved invasive weed-based elephant herd optimization (IIWEHO) algorithm. In addition, the multipath routing is selected based on certain fitness functions like delay, energy, link quality and distance. However, the developed IIWEHO technique is the combination of IIWO method and EHO algorithm.
Findings
The performance of developed optimization method is estimated with different metrics, like distance, energy, delay and throughput and achieved improved performance for the proposed method.
Originality/value
This paper presents an effectual multihop routing method, named IIWEHO technique in WSN. The developed IIWEHO algorithm is newly devised by incorporating EHO and IIWO approaches. The fitness measures, which include intra- and inter-distance, delay, link quality, delay and consumption of energy, are considered in this model. The proposed model simulates the WSN nodes, and CH selection is done by the LEACH protocol. The suitable CH is chosen for transmitting data through base station from the source to destination. Here, the routing system is devised by a developed optimization technique. The selection of multipath routing is carried out using the developed IIWEHO technique. The developed optimization approach selects the multipath depending on various multi-objective functions.
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Fatemeh Goodarzi, Kavitha Palaniappan, Manikam Pillay and Mahmoud Ershadi
Exposure to poor indoor air in refurbished buildings is a matter of health concern due to the growing concentrations of various contaminants as a result of building airtightness…
Abstract
Purpose
Exposure to poor indoor air in refurbished buildings is a matter of health concern due to the growing concentrations of various contaminants as a result of building airtightness without amendment of ventilation, or the use of building materials such as glue, paint, thinner and varnishes. Recent studies have been conducted to measure indoor air pollutants and assess the health risks affecting the quality of life, productivity and well-being of human beings. However, limited review studies have been recently conducted to provide an overview of the state of knowledge. This study aims to conduct a scoping review of indoor air quality (IAQ) in the context of refurbished or energy-retrofitted buildings.
Design/methodology/approach
A systematic screening process based on the PRISMA protocol was followed to extract relevant articles. Web of Science, Scopus, Google Scholar and PubMed were searched using customised search formulas. Among 276 potentially relevant records, 38 studies were included in the final review covering a period from 2015 to 2022.
Findings
Researchers mapped out the measured compounds in the selected studies and found that carbon dioxide (CO2) (11%) and total volatile organic compounds (11%) were among the most commonly measured contaminants. Two trends of research were found including (1) the impact of ventilative properties on IAQ and (2) the impact of introducing building materials on IAQ.
Originality/value
The contribution of this study lies in summarising evidence on IAQ measurements in refurbished buildings, discussing recent advancements, revealing significant gaps and limitations, identifying the trends of research and drawing conclusions regarding future research directions on the topic.
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Rajiv Gurung and Manesh Choubey
Government of India has launched FPOs to organise small and marginal farmers into farmer collectives called FPOs. These FPOs, through economies of scale, aim to provide better…
Abstract
Purpose
Government of India has launched FPOs to organise small and marginal farmers into farmer collectives called FPOs. These FPOs, through economies of scale, aim to provide better collective strength to farmers for better access to production technology, value-addition services, high-quality inputs and marketing services for improving their incomes. Recently, the government has launched a scheme for creation and promotion of 10,000 more FPOs in the country. Despite potential benefits of FPOs and encouragement from the Government, there are many farmers in India, particularly Sikkim, who do not join the FPOs. This study aims to identify the major determinants that motivate farmers to join FPOs.
Design/methodology/approach
Primary data for this study was collected during October, 2019–February, 2020 from 560 farm households in all four districts of Sikkim, India. The study used two-sample t-test and FPO participation probit model for determining the factors influencing a household's decision to participate in an FPO.
Findings
The results of this study illustrate that education, farming experience, farming as the primary occupation, size of landholding, access to Internet, distance to the nearest market, medium level of social participation, extension contact, transportation facility and plan to expand the scale of operation in future are the major explanatory variables that have statistically significant impact on the farm households' participation in FPOs.
Research limitations/implications
This study was based on a cross-sectional survey. As a result, the findings may be subjected to some limitations though the study made all possible efforts to minimise the limitations.
Originality/value
This paper is based on or a novel data set, collected specifically to examine the determinants of membership in Sikkim, India that has not been studied before. Moreover, this study has identified the importance of information and awareness initiatives among the farmers as responsible for farmers' participation in FPOs. The findings of this study will have important implications and lessons to draw from for the Central Government's effort towards Formation and Promotion of 10,000 new FPOs, especially in the hilly states of India.
Peer review
The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-04-2022-0216.
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A.K. Fazeen Rasheed and Janarthanan Balakrishnan
The study examines the influence of various congruity factors (economic, safety and Health, hedonic, and functional) on tourists' satisfaction with sharing economy-based services.
Abstract
Purpose
The study examines the influence of various congruity factors (economic, safety and Health, hedonic, and functional) on tourists' satisfaction with sharing economy-based services.
Design/methodology/approach
A single cross-sectional design is used in the study, with 513 travellers surveyed directly at three different tourist destinations in India. The partial least squares-structural equation modelling approach is used to analyse the data.
Findings
The research shows that congruity factors significantly influence tourists' satisfaction with sharing economy-based services. Moreover, satisfaction is strongly associated with recommendation intention for these services and customer loyalty. Additionally, the intention to recommend directly leads to increased customer loyalty.
Practical implications
The results offer pertinent insights for stakeholders in the sharing economy, including tourism marketers, policymakers and corporations. Aligning services with the identified congruity factors can enhance user satisfaction, boost recommendation rates and foster long-standing customer loyalty.
Originality/value
This study stands out for its thorough investigation into how congruity factors influence tourist satisfaction within the context of the sharing economy. Additionally, by focusing on specific demographic differentiators, such as age (gen Z or old gen) and gender (male or female), the study provides a nuanced understanding that enriches the existing body of knowledge.
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