Neha Kalra, Pankaj Deshwal, Samir Gokarn and Shiksha Kushwah
The proliferation of technological advancements has facilitated unrestricted access to and customizable consumption of content for viewers. Over-the-top (OTT) services are…
Abstract
Purpose
The proliferation of technological advancements has facilitated unrestricted access to and customizable consumption of content for viewers. Over-the-top (OTT) services are becoming more and more popular as the number of people using video streaming services grows around the world. In this context, this study aims to identify the antecedents and outcomes of Customer over-the-top Experience (COTTE) by synthesizing the existing research.
Design/methodology/approach
This research used the systematic literature review approach to identify the antecedents and outcomes of COTTE, along with the publication schedule, theories, analytical techniques, research methodology, and geographic scope of the 47 studies identified from the Scopus and Web of Science database.
Findings
The findings elucidate various antecedents of COTTE, including user-related, social, content-related, and website/platform-related factors. Additionally, diverse outcomes, encompassing behavioural/attitudinal and company-related factors have been discussed. Furthermore, an integrated framework is presented herein, synthesizing extant research and guiding future researchers in this domain.
Originality/value
The study’s findings offer a novel perspective for service providers aiming to enhance the OTT experience for their customers. This study stands out as one of the first to comprehensively present the antecedents and consequences of COTTE.
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This paper aims to encapsulate the gendered support and hindering factors along with the role of the state experienced by Delhi-based women entrepreneurs in setting up/operating…
Abstract
Purpose
This paper aims to encapsulate the gendered support and hindering factors along with the role of the state experienced by Delhi-based women entrepreneurs in setting up/operating their enterprises amidst the challenges posed by the coronavirus disease 2019 (COVID-19) pandemic.
Design/methodology/approach
The study used mixed methods to explore the challenges faced and recovery mechanisms adopted by women entrepreneurs with special reference to the COVID-19 pandemic. A total of 50 Delhi-based young women entrepreneurs (42 actual entrepreneurs + 8 prospective/struggling entrepreneurs) selected using snowball/purposive sampling were studied through both a semi-structured questionnaire and personal interviews. National Small Industries Corporation (NSIC) and micro, small and medium enterprises (MSME) were consulted for the government’s policy documents and data. The SPSS package was used for quantitative data analysis.
Findings
Low-budget/very small-scale women entrepreneurs face common as well as gender-based challenges in the context of the market, finance, social capital, family support and awareness in addition to accessing the state’s resources/policies in both their startups and crisis situations, such as the COVID-19 pandemic. Although gender sensitization, entrepreneurial family background, and equal access to technology and the Internet has enabled women entrepreneurs to initiate, adapt, and scale their enterprises, male domination within the family, society, market, and state apparatuses is omnipresent and has served as a bottleneck for women-owned startups while hindering the recovery of their enterprises amidst the COVID-19 pandemic.
Research limitations/implications
The study was limited to exploring the challenges and prospects of Delhi-based women entrepreneurs at the beginning of their enterprises and amidst the COVID-19 pandemic. On the other hand, the study had access to data and facts announced by the Indian government. No data were available on the implementation of policies and programs, and therefore specific policy analysis was not attempted. However, the reachability and accessibility of government resources and policies were employed.
Practical implications
The study highlights the complexity of patriarchy, which hampers women entrepreneurs in all family, society, market and state domains. Therefore, policy enactment and implementation and further research on women entrepreneurship are suggested to focus more deeply on the gender dimension.
Originality/value
The data used in this work comprised inputs from government sources as well as insights from fieldwork that have not been used by any other publication.
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Rashmi Ranjan Panigrahi, Neha Singh and Kamalakanta Muduli
This paper aims to deepen the understanding of robust food supply chains (FSC) in SMEs by exploring and analyzing the literature through the lenses of digital technologies.
Abstract
Purpose
This paper aims to deepen the understanding of robust food supply chains (FSC) in SMEs by exploring and analyzing the literature through the lenses of digital technologies.
Design/methodology/approach
The study collected data from Scopus spanning from 2010 to 2024, employing selected keywords, and processed it using VOS-viewer and Biblioshiny to derive valid inferences and theoretical arguments.
Findings
The review paper identified several key themes shaping the future of supply chain management – Sustainability in SCM, Industry 4.0, Digitalization with FSCM, Circular Economy, Food Waste with Supply Chain, Food Security and Climate Change. These themes collectively bring transformative opportunities for both the adoption of digital technologies and sustainable practices in food supply chains.
Research limitations/implications
The review found limitations are rooted in financial constraints, institutional barriers and expertise-related challenges encountered within the realm of Digitalization and FSC. Government and corporate houses should focus on these limitations as well as convert them to strengthen the SMEs of FSC.
Originality/value
The study stands out as a pioneering review that not only explores Digitalization in FSC but also explores the link and evidence of SMEs in the unorganized sector, providing unique insights into a previously underexplored area.
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Neha Yadav, Sanjeev Verma and Rekha Chikhalkar
This paper aims to examine the impact of online reviews on behavioral intentions via perceived risk. Perceived risk is both analytical and emotional. Stimulus–organism–response…
Abstract
Purpose
This paper aims to examine the impact of online reviews on behavioral intentions via perceived risk. Perceived risk is both analytical and emotional. Stimulus–organism–response (S–O–R) framework guided this study to explore the interaction between online reviews, perceived risk and behavioral intentions.
Design/methodology/approach
The conceptual model proposed in this research has been validated using confirmatory factor analysis (CFA) and structural equation modeling to assess the measurement model and the validity of the scale, based on primary responses collected from 473 travelers.
Findings
Findings of this study suggest the role of online consumer reviews in reducing the perceived risk associated with experience dominant services like tourism. Process model test proves the mediating role of perceived risk between online reviews and behavioral intentions. Results indicate the significance of online review in lowering the perceived risk leading to positive behavioral intentions.
Practical implications
Destination marketing organizations (DMOs) should understand the role of online reviews in effectively reducing risk and uncertainty, thereby influencing behavioral intentions.
Originality/value
This paper is unique in attempting to empirically examine the mediating role of perceived risk between online reviews and behavioral intentions. The study is a forerunner in using S–O–R framework to test the interaction between online review, perceived risk and behavioral intention.
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Teerapong Teangsompong, Pichaporn Yamapewan and Weerachon Sawangproh
This study aims to investigate the impact of service quality (SQ), perceived value (PV) and consumer satisfaction on Thai street food, with customer satisfaction (CS) as a…
Abstract
Purpose
This study aims to investigate the impact of service quality (SQ), perceived value (PV) and consumer satisfaction on Thai street food, with customer satisfaction (CS) as a mediator for customer loyalty and repurchase intention (RI). It also explores how consumer trust (CT) in Thai street food safety moderates these relationships.
Design/methodology/approach
Structural equation modelling (SEM) was utilised to analyse the complex interrelationships between various constructs. Multi-group analyses were conducted to investigate the moderating effects of CT on the structural model, considering two distinct groups based on trust levels: low and high.
Findings
The findings revealed that SQ and PV significantly influenced CS and behavioural intention, while the perceived quality of Thai street food had no significant impact on post-COVID-19 consumer satisfaction. The study highlighted the critical role of CT in moderating the relationships between SQ, PV and CS, with distinct effects observed in groups with varying trust levels.
Social implications
The research emphasises the importance of enhancing SQ and delivering value to customers in the context of Thai street food, which can contribute to increased CS, RI and positive word-of-mouth. Furthermore, the study underscores the critical role of building CT in fostering enduring customer relationships and promoting consumer satisfaction and loyalty.
Originality/value
This research offers valuable insights into consumer behaviour and decision-making processes, particularly within the realm of Thai street food. It underscores the significance of understanding and nurturing CT, especially in the post-COVID-19 landscape, emphasising the need for effective business strategies and consumer engagement.
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Raghav Upadhyai, Neha Upadhyai, Arvind Kumar Jain, Gaurav Chopra, Hiranmoy Roy and Vimal Pant
This study integrates the providers' perspective as well as the patient's perspective in developing and validating a scale to measure hospital service quality in multispecialty…
Abstract
Purpose
This study integrates the providers' perspective as well as the patient's perspective in developing and validating a scale to measure hospital service quality in multispecialty hospitals.
Design/methodology/approach
An exploratory sequential mixed-method approach was used in this study. The strategies used included a thematic literature review, semi-structured interviews, modified Delphi and confirmatory factor analysis.
Findings
The reliability coefficient of 41 item scale was 0.963 with each attribute, that is, pivotal, core and peripheral, having a Cronbach's alpha of 0.907, 0.91 and 0.891, with scale content validity (S-CVI Ave) of 0.9151. The composite reliability scores of all constructs were greater than 0.7, with an Average Variance Explained (AVE) of all items greater than 0.5.
Originality/value
The instrument can be used to measure the difference between what service providers believe customers expect and customers’ actual needs and expectations. The scale can be used to measure the difference between what is delivered (as perceived by the provider) and what customers perceive they have received (because they are unable to accurately evaluate service quality). The dyadic approach of administering this questionnaire in measuring hospital service quality will lead to the identification of a knowledge gap and a perception gap in delivering hospital service quality.
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Shruti Garg, Rahul Kumar Patro, Soumyajit Behera, Neha Prerna Tigga and Ranjita Pandey
The purpose of this study is to propose an alternative efficient 3D emotion recognition model for variable-length electroencephalogram (EEG) data.
Abstract
Purpose
The purpose of this study is to propose an alternative efficient 3D emotion recognition model for variable-length electroencephalogram (EEG) data.
Design/methodology/approach
Classical AMIGOS data set which comprises of multimodal records of varying lengths on mood, personality and other physiological aspects on emotional response is used for empirical assessment of the proposed overlapping sliding window (OSW) modelling framework. Two features are extracted using Fourier and Wavelet transforms: normalised band power (NBP) and normalised wavelet energy (NWE), respectively. The arousal, valence and dominance (AVD) emotions are predicted using one-dimension (1D) and two-dimensional (2D) convolution neural network (CNN) for both single and combined features.
Findings
The two-dimensional convolution neural network (2D CNN) outcomes on EEG signals of AMIGOS data set are observed to yield the highest accuracy, that is 96.63%, 95.87% and 96.30% for AVD, respectively, which is evidenced to be at least 6% higher as compared to the other available competitive approaches.
Originality/value
The present work is focussed on the less explored, complex AMIGOS (2018) data set which is imbalanced and of variable length. EEG emotion recognition-based work is widely available on simpler data sets. The following are the challenges of the AMIGOS data set addressed in the present work: handling of tensor form data; proposing an efficient method for generating sufficient equal-length samples corresponding to imbalanced and variable-length data.; selecting a suitable machine learning/deep learning model; improving the accuracy of the applied model.