Sankit Kassa, Prateek Gupta, Manoj Kumar, Thompson Stephan and Ramani Kannan
In nano-scale-based very large scale integration technology, quantum-dot cellular automata (QCA) is considered as a strong and capable technology to replace the well-known…
Abstract
Purpose
In nano-scale-based very large scale integration technology, quantum-dot cellular automata (QCA) is considered as a strong and capable technology to replace the well-known complementary metal oxide semiconductor technology. In QCA technique, rotated majority gate (RMG) design is not explored greatly, and therefore, its advantages compared to original majority gate are unnoticed. This paper aims to provide a thorough observation at RMG gate with its capability to build robust circuits.
Design/methodology/approach
This paper presents a new methodology for structuring reliable 2n-bit full adder (FA) circuit design in QCA utilizing RMG. Mathematical proof is provided for RMG gate structure. A new 1-bit FA circuit design is projected here, which is constructed with RMG gate and clock-zone-based crossover approach in its configuration.
Findings
A new structure of a FA is projected in this paper. The proposed design uses only 50 number of QCA cells in its implementation with a latency of 3 clock zones. The proposed 1-bit FA design conception has been checked for its structure robustness by designing various 2, 4, 8, 16, 32 and 64-bit FA designs. The proposed FA designs save power from 46.87% to 25.55% at maximum energy dissipation of circuit level, 39.05% to 23.36% at average energy dissipation of circuit-level and 42.03% to 37.18% at average switching energy dissipation of circuit level.
Originality/value
This paper fulfills the gape of focused research for RMG with its detailed mathematical modeling analysis.
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Albert Alexander Stonier, Gnanavel Chinnaraj, Ramani Kannan and Geetha Mani
This paper aims to examine the design and control of a symmetric multilevel inverter (MLI) using grey wolf optimization and differential evolution algorithms.
Abstract
Purpose
This paper aims to examine the design and control of a symmetric multilevel inverter (MLI) using grey wolf optimization and differential evolution algorithms.
Design/methodology/approach
The optimal modulation index along with the switching angles are calculated for an 11 level inverter. Harmonics are used to estimate the quality of output voltage and measuring the improvement of the power quality.
Findings
The simulation is carried out in MATLAB/Simulink for 11 levels of symmetric MLI and compared with the conventional inverter design. A solar photovoltaic array-based experimental setup is considered to provide the input for symmetric MLI. Field Programmable Gate Array (FPGA) based controller is used to provide the switching pulses for the inverter switches.
Originality/value
Attempted to develop a system with different optimization techniques.
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This paper aims to understand two-wheeler consumer retention behavior by examining their perception of service evaluation variables (such as service quality, perceived product…
Abstract
Purpose
This paper aims to understand two-wheeler consumer retention behavior by examining their perception of service evaluation variables (such as service quality, perceived product quality and perceived consumer value), brand image and consumer empowerment that may trigger consumer satisfaction.
Design/methodology/approach
The study comprised a simple random sampling technique and conducted a survey (n = 284) using a structured questionnaire. The study analyzed the data using SPSS AMOS version 25 and PROCESS macros for analysis.
Findings
The study results show that service evaluation variables work best in leading to consumer retention in the two-wheeler industry. This relationship is further strengthened in the presence of consumer empowerment, brand image and consumer satisfaction.
Originality/value
The current study is one of the first studies in the two-wheeler industry that examine the relationship between service evaluation variables and consumer retention using direct, mediation and moderation effects.
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Senthur N.S. and Ravikumar T.S.
This paper aims to compare the performance, emission and combustion characteristics of E20 biodiesel with diesel-water emulsion and eucalyptus water emulsion.
Abstract
Purpose
This paper aims to compare the performance, emission and combustion characteristics of E20 biodiesel with diesel-water emulsion and eucalyptus water emulsion.
Design/methodology/approach
This research expounds the trans-esterification process apparently. Various biodiesel blends were made to go through the trans-esterification process to make it suitable for feeding them into the low heat rejection (LHR) engine. E20 biodiesel – 20% of eucalyptus oil by volume with diesel was chosen to carry out the research as it was found to be the best blend with diesel. The volume of water content in diesel water emulsions was varied by 5, 10 and 15% in DWM1 (Diesel Water Mixture1), DWM2 (Diesel Water Mixture2) and DWM3 (Diesel Water Mixture3), respectively. Similarly, the volume of water content in eucalyptus water emulsions was varied with emulsification ratio of E20 biodiesel. Partially stabilized zirconia was coated over top surface of the piston and valve facing of the LHR engine.
Findings
From the researches carried out, DWM3 (Diesel Water Mixture3) was found to be superior when compared with other diesel-water emulsions in LHR engine. The overall efficiency was found to be higher for EWM3 than other biofuels tested the in LHR engine.
Originality/value
This investigational experiment can be further extended to multi-cylinder engine and to improve the cetane number, Di ethyl ester (DEE) fuel additives can be added.
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Arun Kumar Bairwa and Irfan Ahmad Sofi
This study investigates the caste-based disparities in employment probabilities and wage earnings within India’s rapidly growing IT industry, using insights from the labour market…
Abstract
Purpose
This study investigates the caste-based disparities in employment probabilities and wage earnings within India’s rapidly growing IT industry, using insights from the labour market segmentation theory. Our theoretical conceptualization attempts to pin down the inaccessibility of marginalised sections of the population to the high productivity job market.
Design/methodology/approach
We rely on the National Sample Survey rounds of 2011–2012 and 2020–2021 to estimate employment probabilities and wage differentials using linear and logic regression models, controlling for educational attainments and other important determinants of individual’s job market outcomes.
Findings
The results indicate a significant −1.24 odds differential, even after considering education and other control variables. Notably, this disparity has increased since 2011–2012, with lower caste graduate pass-outs facing a mere 13% probability of IT sector employment compared to their upper caste counterparts at 41%. Further, our findings expose gender and rural-urban differentials, highlighting the vulnerability faced by females and individuals from rural areas. The wage analysis shows a 24% and a 22% earning gap for SCs and OBCs, respectively, which remain statistically significant even after controlling for educational attainments and employment arrangements.
Originality/value
This is first micro-level study that counters Indian IT sector’s claim of “castelessness” and “pro-merit”, identifying significant presence of labour market segmentation in the sector. The caste-based labour market segmentation has far-reaching consequences as it can perpetuate income inequalities and hurt industrial efficiency, stifling economic growth in the long-run. Concerted policy responses are imperative to eliminate structural barriers, ensuring equitable access to quality education and employment opportunities for marginalized sections of the society.
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Jun Kang, Jingyi Lan, Hongyan Yan, Wen Li and Xuemei Shi
This study aims to investigate the antecedents of mobile Internet users’ perception of information sensitivity (PIS) and willingness to provide personal information (WTP). It…
Abstract
Purpose
This study aims to investigate the antecedents of mobile Internet users’ perception of information sensitivity (PIS) and willingness to provide personal information (WTP). It provides insights about how these antecedents influence users’ perceived information sensitivity and willingness to provide.
Design/methodology/approach
An online survey of mobile Internet users was conducted in China, generating a total of 1,000 qualified responses for analysis.
Findings
Results reveal the differential effects of some major antecedents of mobile Internet users’ perceived information sensitivity and willingness to provide (individual disposition to value privacy, age, gender, app type and privacy concerns) and such impact vary across low-, medium- and high-privacy segments.
Originality/value
This study provides insights into the antecedents of mobile Internet users’ attitudes towards personal information privacy. It also extends the understanding of users’ perceived information sensitivity and willingness to provide such information comparatively among four countries.
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Lena-Marie Rehnen, Silke Bartsch, Marina Kull and Anton Meyer
New approaches in loyalty programs try to activate membership by rewarding not just financial transactions but also customer engagement. The purpose of this paper is to analyze…
Abstract
Purpose
New approaches in loyalty programs try to activate membership by rewarding not just financial transactions but also customer engagement. The purpose of this paper is to analyze the effect of rewarded customer engagement on loyalty intentions and behavior by applying a social media context.
Design/methodology/approach
A field study in the mobility service industry (focus groups (n=18) and questionnaire (n=1,246)) and a laboratory experiment (n=141, 2 (rewarded engagement and transaction/rewarded transaction)×2 (low/high reward) between subjects design) were conducted to determine the effect of rewarded engagement on loyalty.
Findings
In the field study, the participants could gather loyalty points through their social media engagement. Their attitudinal loyalty to the loyalty program and the company was significantly higher than that of the loyalty members who collected points solely through transactions. This effect is especially prevalent with respect to engagements rewarded with monetary incentives and is underlined by behavioral data. The results of the laboratory experiment show that rewarded engagement positively moderates the impact of intrinsic motivation on loyalty intentions. Offering rewarded engagement in loyalty programs offsets the undermining effect of rewards.
Practical implications
Rewarding customers for social media engagement can be a beneficial way of boosting active participation in loyalty programs, but this experience should be enjoyable and self-determined.
Originality/value
The study is the first to show the impact of rewarded customer engagement on the attitudinal and behavioral loyalty of members of a loyalty program.
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M. Ángeles López-Cabarcos, Suresh Srinivasan and Paula Vázquez-Rodríguez
By fusing knowledge-based theory, organizational learning theory and dynamics capability theory, this study aims to explore, on the one hand, the linkage between exploration…
Abstract
Purpose
By fusing knowledge-based theory, organizational learning theory and dynamics capability theory, this study aims to explore, on the one hand, the linkage between exploration, sensing and tacit knowledge, and on the other hand, exploitation, seizing and explicit knowledge. Thereby, it argues that not only tacit knowledge but also explicit knowledge contributes to competitive advantage for firms. This study also investigates how knowledge transforms into profitability.
Design/methodology/approach
The conceptual model is tested with a study sample of 153 industrial organizations using structural equation modelling.
Findings
Results confirm the importance of both tacit and explicit knowledge for achieving sustainable competitive advantages. Furthermore, both tacit and explicit knowledge transform into profitability, both directly and through product innovation and customer centricity which play partial mediating roles.
Practical implications
Explicit knowledge strategies can be easier to manage, implement and institutionalize than tacit knowledge strategies, which require human component and intervention to succeed. Managers should hence first implement explicit knowledge strategies to gain expeditious results. Further, with the advent of digital technologies and algorithms that can extract deep customer insights and organizational experiences which are highly tacit in nature and codifying the same into explicit knowledge, the importance of explicit knowledge is further enlarged.
Originality/value
By fusing three adjacent theories to establish a robust model specification, this study is able to demonstrate the contribution of explicit knowledge in the firm’s competitive advantages.