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1 – 10 of 18Md Daud Ismail, Syed Zamberi Ahmad and Sanjay Kumar Singh
This study aims to investigate the relationship between absorptive capacity, relational capital and interorganizational relationship performance and examine the moderating effect…
Abstract
Purpose
This study aims to investigate the relationship between absorptive capacity, relational capital and interorganizational relationship performance and examine the moderating effect of contractual governance on this relationship.
Design/methodology/approach
This study used a quantitative design, analyzing data collected through a survey questionnaire. The sampling frame consisted of 111 cross-industry, small and medium-sized manufacturers in Malaysia. The research model was analyzed using structural equation modeling.
Findings
The results show that interorganizational relationship performance is positively influenced by relational capital and absorptive capacity. While absorptive capacity has a positive effect on relational capital, this study finds empirical evidence that contractual governance weakens the effect of absorptive capacity on relational capital. Furthermore, this study also examines the hitherto under-researched moderating effect of contractual government on absorptive capacity and relational capital and their relationship with interorganizational relationship performance.
Originality/value
This study provides insights into the interorganizational relationship among SMEs and explains the nature of knowledge management in this context. This study shows the potential role of absorptive capacity in building close cross-border interorganizational relationships.
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Sangeetha Yempally, Sanjay Kumar Singh and S. Velliangiri
Selecting and using the same health monitoring devices for a particular problem is a tedious task. This paper aims to provide a comprehensive review of 40 research papers giving…
Abstract
Purpose
Selecting and using the same health monitoring devices for a particular problem is a tedious task. This paper aims to provide a comprehensive review of 40 research papers giving the Smart health monitoring system using Internet of things (IoT) and Deep learning.
Design/methodology/approach
Health Monitoring Systems play a significant role in the healthcare sector. The development and testing of health monitoring devices using IoT and deep learning dominate the healthcare sector.
Findings
In addition, the detailed conversation and investigation are finished by techniques and development framework. Authors have identified the research gap and presented future research directions in IoT, edge computing and deep learning.
Originality/value
The gathered research articles are examined, and the gaps and issues that the current research papers confront are discussed. In addition, based on various research gaps, this assessment proposes the primary future scope for deep learning and IoT health monitoring model.
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Tanveer Kajla, Kirti Sood, Sanjay Gupta, Sahil Raj and Harpreet Singh
The objective of this research is to identify and prioritize the critical factors that influence the adoption of blockchain technology within the banking sector.
Abstract
Purpose
The objective of this research is to identify and prioritize the critical factors that influence the adoption of blockchain technology within the banking sector.
Design/methodology/approach
A well-known theoretical framework, the “Technology Organization Environment (TOE),” was chosen to analyze what criteria and sub-criteria affect blockchain adoption in the banking sector after a thorough assessment of the prior literature. Following that, 3 evaluation criteria and 14 sub-criteria were selected and verified using expert opinion. A survey design was created, and data for the study has been collected from various information technology (IT) managers/officers in the banking sector. A fuzzy analytic hierarchy process (Fuzzy-AHP) was then used to meet the purpose of the research.
Findings
The study identified that the organizational dimension is the most significant criteria for blockchain adoption in the banking sector, followed by the environmental dimension. In contrast, the technological dimension is the least influential criterion. Clientele pressure, IT resources, financial resources, pressure from competitors and relative advantage are the most influential sub-criteria for blockchain adoption.
Research limitations/implications
This study provides valuable insights to bank managers, blockchain and IT developers, third-party service providers and policymakers. For instance, adopting the same blockchain platform is easier for both large and small banks for banking operations by using third-party service provider. At the same time, banks should have the banks' own core team to implement the blockchain-based systems or to have control over the third-party service providers during the adoption stage.
Originality/value
To the best of the authors' knowledge, no empirical studies have used a holistic organizational context to understand the factors influencing the adoption of blockchain technology from traditional to blockchain-based banking systems.
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Nilesh R. Parmar, Sanjay R. Salla, Hariom P. Khungar and B. Kondraivendhan
This study aims to characterize the behavior of blended concrete, including metakaolin (MK) and quarry dust (QD), as supplementary cementing materials. The study focuses on…
Abstract
Purpose
This study aims to characterize the behavior of blended concrete, including metakaolin (MK) and quarry dust (QD), as supplementary cementing materials. The study focuses on evaluating the effects of these materials on the fresh and hardened properties of concrete.
Design/methodology/approach
MK, a pozzolanic material, and QD, a fine aggregate by-product, are potentially sustainable alternatives for enhancing concrete performance and reducing environmental impact. The addition of different percentages of MK enhances the pozzolanic reaction, resulting in improved strength development. Furthermore, the optimum dosage of MK, mixed with QD, and mechanical properties like compressive, flexural and split tensile strength of concrete were evaluated to investigate the synergetic effect of MK and quarry dust for M20-grade concrete.
Findings
The results reveal the influence of metakaolin and QD on the overall performance of blended concrete. Cost analysis showed that the optimum mix can reduce the 7%–8% overall cost of the materials for M20-grade concrete. Energy analysis showed that the optimum mix can reduce 7%–8% energy consumption.
Originality/value
The effective utilization is determined with the help of the analytical hierarchy process method to find an optimal solution among the selected criteria. According to the AHP analysis, the optimum content of MK and quarry dust is 12% and 16%, respectively, performing best among all other trial mixes.
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Khishn Kumar Kandiah, Vengadaesvaran Balakrishnan, Amirul Syafiq, Nasrudin Abd Rahim, Adarsh Kumar Pandey, Yee Seng Tan, Sanjay J Dhoble, Ramesh Kasi and Ramesh Subramaniam
There is a strong inducement to develop new inorganic materials to substitute the current industrial pigments, which are known for their poor ultraviolet absorbent and low…
Abstract
Purpose
There is a strong inducement to develop new inorganic materials to substitute the current industrial pigments, which are known for their poor ultraviolet absorbent and low photoluminescence (PL) properties. The purpose of this paper is to invent a better rare-earth-based pigment material as a spectral modifier with good luminescence properties to enhance the spectral response for photovoltaic panel application.
Design/methodology/approach
Different phosphor samples made of nano-calcium carbonate (CaCO3) with varied wt.% of the dopant Dysprosium doped calcium borophosphate (CBP/Dy) as (W0 – 0%, W1 – 3,85%, W2 – 7.41%, W3 –10.71% and W4 –13.79%) were prepared via the solid-state diffusion method at 600 °C for 6 h using a muffle furnace. The structural, morphological and luminescence properties of the CaCO3:CBP/Dy powder samples were examined using scanning electron microscopy (SEM), X-ray diffraction (XRD), Fourier transform infrared spectroscopy (FTIR) and PL test.
Findings
The XRD, SEM and FTIR results verified the crystalline formation, morphological behaviour and vibration bonds of synthesized CBP/Dy-doped CaCO3 powder samples. XRD pattern revealed that the synthesized powder samples exhibit crystalline structured materials, and SEM results showed irregular shape and porous-like structured morphologies. FTIR spectrum shows prominent bands at 712, 874 and 1,404 cm−1, corresponding to asymmetric stretching vibrations of CO32− groups and out-of-plane bending. PL characterization of CBP/Dy-doped CaCO3 (sample W) shows emission at 427 nm (λmax) under the excitation of 358 nm. The intensity of PL emission spectra drops due to the concentration quenching effect, while the maximum PL intensity is observed in the W3 phosphor powder system.
Research limitations/implications
This phosphor powder is expected to find out the potential application such as a spectral modifier which is applied to match the energy of photons with solar cell bandgap to improve spectral absorption and lead to better efficiency.
Originality/value
The introduction of a nano-CaCO3:CBP/Dy hybrid powder system with good luminescence properties to be used as spectral modifiers for solar cell application has been synthesized in the lab, which is a novel attempt.
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Aashish Garg, Pankaj Misra, Sanjay Gupta, Pooja Goel and Mohd Saleem
Spiritual tourism is becoming a significant growth area of the Indian travel market, with more Indians opting to go on pilgrimage to popular religious cities. There are many…
Abstract
Purpose
Spiritual tourism is becoming a significant growth area of the Indian travel market, with more Indians opting to go on pilgrimage to popular religious cities. There are many spiritual destinations where some of this life's essences can be sought to enjoy harmony and peace. The study aims to prioritize motivators driving the intentions of the tourists to visit the spiritual destination.
Design/methodology/approach
The current study applied the analytical hierarchical process, a multi-criteria decision-making technique, on the sample of visitors from all the six spiritual destinations to rank the motivational factors that drive the intentions of the tourist to visit a spiritual destination.
Findings
The study's results postulated that spiritual fulfillment motives and destination atmosphere are the top prioritized motivations, while destination attributes and secular motives emerged as the least prioritized.
Practical implications
The research study provides valuable insights to the spiritual tourism industry stakeholders to target the tourists' highly prioritized motivations to augment the visits to a particular spiritual destination.
Originality/value
Previous research has explored the motivations and modeled their relationships with tourists' satisfaction and intentions. But, the present study has applied a multi-criteria decision-making technique to add value to the existing knowledge base.
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Satish Chandra Pant, Sathyendra Kumar and Sanjay Kumar Joshi
This paper aims to examine the impact of social capital and self-efficacy in the performance of producer organizations. It also tests the mediating influence of self-efficacy in…
Abstract
Purpose
This paper aims to examine the impact of social capital and self-efficacy in the performance of producer organizations. It also tests the mediating influence of self-efficacy in the relationship of social capital and performance of producer organizations.
Design/methodology/approach
The study used data from a survey of 226 members of farmer producer organizations (FPO) in India. The model was tested through structural equation modeling wherein all hypotheses were tested using “R” studio.
Findings
The findings reveal that social capital and self-efficacy play a significant role in predicting the performance of FPO. It was found that in the process of social capital influencing the performance of FPO, self-efficacy plays a significant role as a partial mediator with a mediating effect of approximately 69.28%.
Research limitations/implications
The study considered only one antecedent while identifying the reasons for perceived performance of FPOs. Hence, further studies of the various other constructs such as attitude, subjective norms, etc., may be considered.
Originality/value
No previous work has examined the mediating role of self-efficacy in the relationship between social capital and perceived performance of FPO. This study is possibly the only one that joins two streams of thought – social capital and self-efficacy – to examine the performance of FPO.
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Sanjay Gupta, Sahil Raj, Aashish Garg and Swati Gupta
The primary purpose of this study is to examine the factors leading to shopping cart abandonment and construct a model depicting interrelationship among them using interpretive…
Abstract
Purpose
The primary purpose of this study is to examine the factors leading to shopping cart abandonment and construct a model depicting interrelationship among them using interpretive structural modeling (ISM) and Matriced Impact Croises Multiplication Appliquee an un Classement (MICMAC).
Design/methodology/approach
Initially, 20 factors leading to shopping cart abandonment were extracted through a systematic literature review and expert opinions. Fifteen factors were finalized using the importance index and CIMTC method, for which consistency has been checked in SPSS software through a statistical reliability test. Finally, ISM and MICMAC approach is used to develop a model depicting the contextual relationship among finalized factors of shopping cart abandonment.
Findings
The ISM model depicts a technical glitch (SC8), cash on delivery not available (SC4), bad checkout interface (SC9), just browsing (SC11), and lack of physical examination (SC12) are drivers or independent factors. Additionally, four quadrants have been formulated in MICMAC analysis based on their dependency and driving power. This facilitates technical managers of e-commerce companies to focus more on factors leading to shopping cart abandonment according to their dependency and driving power.
Research limitations/implications
Taking an expert’s opinion as a base may affect the results of the study due to biases based on subjectivity.
Practical implications
This study’s outcomes would accommodate practitioners, researchers, and multinational or national companies to indulge in e-commerce to anticipate factors restricting the general public from online shopping.
Originality/value
For the successful running of an e-commerce business and to retain the confidence of e-shoppers, every e-commerce company must make a strategy for controlling factors leading to shopping cart abandonment at the initial stage. So, this paper attempts to highlight the main factors leading to shopping cart abandonment and interrelate them using ISM and MICMAC approaches. It provides a clear path to technical heads, researchers, and consultants for handling these shopping cart abandonment factors.
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Sanjay Kumar Tyagi and Raghunathan Krishankumar
The purpose of this study is to analyze the combined effect of eight factors – performance expectancy (PE), effort expectancy (EE), hedonic motivation (HM), system quality (SQ)…
Abstract
Purpose
The purpose of this study is to analyze the combined effect of eight factors – performance expectancy (PE), effort expectancy (EE), hedonic motivation (HM), system quality (SQ), information quality (IQ), service quality (SEQ), digital literacy (DL) and computer anxiety (CA) on learners’ behavioral intention (BI) toward the adoption of e-learning in higher education institutions (HEIs) in India.
Design/methodology/approach
The study used factors from two theoretical models, the extended Unified Theory of Acceptance and Use of Technology and the DeLone and McLean Information Systems Success model. The study also considered DL and CA as additional factors because they could affect a learner’s intention in a developing country like India. Data were collected from three HEIs in Southern India and analyzed using fuzzy qualitative and comparative analysis (fsQCA).
Findings
The results of the study emphasize the importance of considering both individual and technological factors in e-learning adoption and provide evidence for the significance of integrating multiple theories in understanding the complex relationship between factors and learners’ BI. Four different configurations of the eight factors: EE*HM*SQ*IQ*SEQ*DL*∼CA; PE*EE*HM*SQ*IQ*DL*CA; PE*EE*HM*IQ*SEQ*DL*CA; and PE*EE*SQ*IQ*SEQ*DL*CA found to be sufficient to cause learners’ BI to use e-learning.
Research limitations/implications
This study explores the complex relationship between different factors and learners’ intention to adopt e-learning using the fsQCA method. These findings may need further validation in HEIs across different geographical locations.
Practical implications
This study provides practical insights for HEIs in India and other developing countries on how different factors combine and interact to determine e-learning adoption in multiple contexts.
Originality/value
Using fsQCA as a novel and rigorous method, this study uncovers the complex and nonlinear causal relationships among various factors that affect e-learning adoption. This study provides a holistic and contextualized understanding of e-learning adoption in a developing country’s scenario. This study can inform educators and policymakers on how to design and implement effective e-learning strategies that suit different learner profiles and contexts.
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Kaushik Samaddar and Aradhana Gandhi
The study explores and builds theories in Customer Perceived Values (CPVs) that drive counterfeit buying intention, using a Grounded Theory Approach (GTA) in an emerging market…
Abstract
Purpose
The study explores and builds theories in Customer Perceived Values (CPVs) that drive counterfeit buying intention, using a Grounded Theory Approach (GTA) in an emerging market, India.
Design/methodology/approach
Counterfeit studies have either resorted to a survey approach or modelling approach in investigating various aspects and dimensions. This study, among a few, attempted a GTA in building theory on CPVs. Based on the observations and recorded responses that emerged through several Focus Group Discussions (FGDs); conducted in two metropolitan cities (India), newer insights into this illicit phenomenon of “Counterfeiting” were derived.
Findings
Adding to the counterfeit literature, the study presents a comprehensive view of the CPVs. Findings reveal economic, socio-normative, pleasure-based, euphemistic, acquisition-centrality, self-regulating, situational and sustainable consumption values that influence counterfeit attitudes and in turn impact counterfeit buying intentions. Although Economic Values (ECV) have been the primary motivation for counterfeit purchase, complex and newer values that emerged through this research study bears significance.
Practical implications
As a single point of reference, this study will provide impetus to scholars and academicians in expanding the counterfeit research domain. While aiding policymakers and marketers in further understanding this illicit practice, it will also guide brand managers in strategizing their offerings and reaching out to the masses with strong brand aesthetic values.
Originality/value
Based on a systematic literature review using the 4 Ws framework, this study is one of the few attempts that has adopted a GTA to explore and develop theories on CPVs in counterfeit research.
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