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This study aims to investigate the domestic sustainable consumption practices in Indian households and the motivations to do so. These practices also contribute to environment management and its impact on Indian society through the action of reusing, reducing and recycling of consumed products for two generations, namely, the Baby Boomer and the Generation Z.

An exploratory qualitative research was undertaken in which the data were collected through personal interview technique with 64 respondents including males and females from the generations of Baby Boomers and Generation Z of Indian households.

The theoretical framework of the 3R was extended to inculcate broader themes like awareness, action and motivation for the domestic sustainable activities. The findings conclude that the domestic sustainable consumption practices of Baby Boomers in India were far more advanced than their Generation Z counterparts. These two generations differed in their awareness sources, actions of sustainability and the motivations for undergoing the domestic sustainable activities. Managerial implications have been framed for organisations like start-ups, sustainable firms, government organisations and second-hand product vendors. These practices in such organisations could help in the enhancement of circular economy through the domestic waste disposal.

Practical implications are for organisations that can consider the domestic sustainability consumption practices while planning their strategies to maximise stakeholder satisfaction through their corporate social responsibility initiatives and create more goodwill and growth avenues for their businesses.

Where most of the past literature concentrates on the supply chain and manufacturing initiatives of sustainability or sustainable consumption, very few studies look at the angle of domestic sustainability initiative and how they could be linked to the initiative of circular economy. This paper fills this gap in past literature.

The purpose of this paper is to provide an integrated methodology for benchmarking the sustainability of organizations. The fuzzy analytical hierarchy process (FAHP) and technique for order of preference by similarity to ideal solution (TOPSIS) methods have been used for this purpose. The FAHP is used to determine the weights of the criteria by decision makers, and the rankings of the alternatives are determined by TOPSIS. The proposed instrument is used to calculate the Sustainable Business Excellence Index (SBEI) and its potential impact on the formulation of firm strategy. To demonstrate the applicability of the model, illustrative examples are presented.

After a careful literature review, a sustainable business excellence framework is created and a fuzzy system is developed to assess firms’ sustainability. Finally, the SBEI is computed.

The results indicate that the suggested fuzzy approach is feasible for benchmarking the sustainability of organizations. It allows the decision makers to express their opinion regarding the importance of criteria and evaluate each alternative and then have this input coordinated in a quantitative fashion.

Practitioners and consultants can use the instrument for conducting quality management benchmarking within and across organizations. Researchers can use the instrument in future studies for further theory development in this area.

As far as the authors are aware, no previous study research has assessed the SBEI of an organization with fuzzy sets. As such, it responds to a number of contemporary challenges in the business excellence theory, most importantly the broad need to identify agile organizations.

The purpose of this study is to consolidate the state of research in mobile commerce (m-commerce) technology adoption from 2008 to 2017. This study not only reviews the evolution of m-commerce literature but also highlights the significant contribution of authors and their productive collaborations in the development of this area.

A total of 184 peer-reviewed articles focusing on m-commerce adoption were obtained after applying search criteria on Scopus database. After using inclusion and exclusion criteria to achieve the objective of this study, 86 journals were shortlisted. The study further discusses the dispersion of various m-commerce applications being explored in m-commerce literature. In addition, dominating technology adoption theories and the most used keywords have also been identified and discussed in this study.

This study indicates that technology acceptance model and unified theory of acceptance and use of technology are the most exploited technology adoption theories. Moreover, the dominating constructs in literature are perceived usefulness, ease of use social influence/social norm on behavior intention, attitude intention followed by performance expectancy, facilitating condition and effort expectancy influence on intention.

This study presents a detailed association rule mining and community analysis to show the association among constructs such as usefulness, ease of ease, social influence and intention as dominant group in this area. The study also identifies lesser explored constructs and indicates possible future research to validate and strengthen their understanding further.

The purpose of this paper is to discuss and evaluate the Indian legal system with regard to prosecution of persons involved in insider trading.

The project follows an analytical and deductive methodology. The theoretical information was gathered from books and the internet. The assimilated information was analyzed on the basis of which conclusions were drawn. The sources for the research have been mentioned in the relevant footnotes when used.

Although Indian law has relevant provisions to deal with insider trading, it is not effective enough to curb this white‐collar crime. The criminal remedies are not implemented because of the lengthy formalities and the requirement of proving it “beyond all reasonable doubt”. The civil penalties, even though invoked, are not enough to act as a deterrent and face several lacunae. These shortcomings have been addressed in the papers with relevant recommendations to the law making body – the Securities and Exchange Board of India (SEBI).

A field study would have been desirable to bring out some of the problems from direct sources like officials and employees of the SEBI. However, this proposal was limited by the fact that the SEBI does not have an office in the city of Jodhpur and hence the information has been gathered from sources, such as books and the internet.

The paper will be of value to foreign investing institutions looking to invest funds in Indian stock markets, to the regulating agencies such as SEBI, law making agencies and experts in the field of corporate law.

The purpose of this paper is to present the design of a compact microstrip bandpass filter (BPF) in dual-mode configuration loaded with cross-loop and square ring slots on a square patch resonator for C-band applications.

In the proposed design, the dual-mode response for the filter is realized with two transmission zeros (TZs) by the insertion of a perturbation element at the diagonal corner of the square patch resonator with orthogonal feed lines. Such TZs at the edges of the passband result in better selectivity for the proposed BPF. Moreover, the cross-loop and square ring slots are etched on a square patch resonator to obtain a miniaturized BPF.

The proposed dual-mode microstrip filter fabricated in RT/duroid 6010 substrate using PCB technology has a measured minimum insertion loss of 1.8 dB and return loss better than 24.5 dB with a fractional bandwidth (FBW) of 6.9%. A compact size of 7.35 × 7.35 mm² is achieved for the slotted patch resonator-based dual-mode BPF at the center frequency of 4.76 GHz. As compared with the conventional square patch resonator, a size reduction of 61% is achieved with the proposed slotted design. The feasibility of the filter design is confirmed by the good agreement between the measured and simulated responses. The performance of the proposed filter structure is compared with other dual-mode filter works.

In the proposed work, a compact dual-mode BPF is reported with slotted structures. The conventional square patch resonator is deployed with cross-loop and square ring slots to design a dual-mode filter with a square perturbation element at its diagonal corner. The proposed filter exhibits compact size and favorable performance compared to other dual-mode filter works reported in literature. The aforementioned design of the dual-mode BPF at 4.76 GHz is suitable for applications in the lower part of the C-band.

The research aims to measure the effectiveness of collaborative learning exchanges transpired through digital tools and technologies (DT&Ts) employed by the mentor universities during the COVID-19 pandemic by conducting an empirical study on undergraduate students in Indian higher educational institutions (HEIs) under the mentorship program based on the corporate social responsibility (CSR) initiative. The pandemic scenario, its impact on the mentor university's social responsibility and the way DT&Ts can assist are investigated in this article.

The interactions with experts and students were conducted to explore the DT&Ts for learning exchanges. Next, structural equation modeling (SEM) was performed to validate the model and perform regression analysis. The quantitative data collection was made through questionnaires during the second deadly wave of COVID-19 that hit India.

The independent variables (IVs) such as the IT infrastructure support (IT_IS), virtual collaborative tools (VCTs) and future-oriented technologies (FOTs) have a significant impact on the CSR learning outcomes (CSR_LOs) of undergraduate students under the mentorship program. However, IV research instruments for innovation could not make a significant effect.

The IVs IT_IS, VCTs and FOTs influence the CSR_LOs, while RII does not have an influential impact.

As the online learning environment is expected to stay at least in a blended form, adequate CSR funding in infrastructure is necessitated to harness the full potential of this important resource, technology. The results of this empirical investigation affirm that IT_IS, VOTs and FOTs significantly impact CSR_LOs during the crisis. The study findings would encourage the mendtor universities and their stakeholders, including the mentee universities, to evolve and create an ecosystem for effective management of these resources to attain positive outcomes. The study findings can guide the mentor universities in managing uncertainties like pandemics and effectively using the earlier-mentioned critical resources for social responsibility. This research also allows the development of future applications adnd models in mentor-mentee universities for social responsibility, post-pandemic transformation and resilience.

The DT&Ts came to the immediate rescue during the pandemic and positively affected collaborative CSR_LOs by the mentor universities, but they have not evolved to a level where offline learning can be replaced entirely. Hence, it can be inferred that a hybrid model is preferable. The study also improves the understanding of how DT&Ts are being harnessed to aid collaborative learning in fulfilling the mentors' CSR in fatal emergencies. The purpose is to equip the education system through mentorship so that universities can sustain, innovate and grow even in trying times. Also, it discusses the dynamics of various DT&Ts for creating a sustainable learning environment and utilizing them to make the teaching prolific and influential.

There is a scarcity of literature regarding the learning outcomes realized through CSR initiatives and collaboration between mentor-mentee institutions. There is a need to understand how these knowledge exchanges continued despite the physical restrictions during the pandemic. In this direction, this study helps to understand how the DT&Ts played a critical role in continuing learning and keeping abreast in a knowledge society from the perspective of resource-based view (RBV) in these precarious situations.

The aim of the paper is to identify interactions existing among the identified factors and understanding how they impact adoption intention so that better CRM strategies for mobile channel can be orchestrated.

The paper empirically explores the underlying factors by the application of confirmatory factor analysis and structural equation modeling. The study sample consists of 523 respondents with a response rate of 63.9 percent (usable response rate).

The empirical findings reveal that from the perspective of benefits, perceptions value, perceived usefulness and context were the three critical components significantly influencing adoption intention. On the apprehension side, the effects of perceived security assurance, perceived trust, perceived cost and perceived risk on perceived value as well as perceived usefulness were significant.

The study had a few limitations such as selection of the sample from a limited number of places, and the model was cross-sectional measuring perceptions and intentions at a single point of time.

Based on the findings, banks should focus on increasing the value perceptions of the customers by considering the perceptions of usefulness in various service contexts. The structural assurances and risk mitigation strategies also need attention.

The findings provided insight into the factors that contribute to the acceptance of mobile CRM services in India from new consumers' perspective. This study demonstrated that in the case of mobile CRM, the factors related to service aspect dominate over the technical aspect.

The purpose of this paper is to propose a framework to improve the effectiveness of university–industry collaboration (UIC). This work enhances the existing body of literature and knowledge regarding collaboration and offers concrete steps to be taken for effective collaboration between universities and industries.

A literature review to study the best practices, impediments to collaboration and the various models proposed in the past for successful UIC was conducted. A workshop and focus-group meetings of practitioners and academic researchers was designed and organised to explore the current state of the university–industry engagement within the Australian Capital Territory (ACT) region and gather inputs regarding possible approaches to improve collaboration. The findings from the literature review and the results from this qualitative research regarding the approaches to improve the effectiveness of the collaboration were analysed.

The study discovers that various measures have been proposed in the form of best practices or models to improve the effectiveness of UIC. However, these measures often address a specific concern such as technology transfer, intellectual property (IP), etc. There is a scope for a comprehensive holistic framework to address many aspects of UIC in order to improve effectiveness and achieve success. A framework for improving the effectiveness of collaboration considering a comprehensive list of factors operating in a broad context within the collaboration system was proposed.

The framework builds on previous literature dealing with measures for successful UIC. However, it is the first of its kind, in the researcher's knowledge, in terms of comprehensiveness of the factors contributing to establishing and sustaining successful collaboration. The value of the individual experience of the participants in this qualitative research, which is on average more than 10 years in the software engineering field, validates the importance and quality of the data collected. The addition of these results to the framework increases its validity.The framework can be utilised by universities and industry practitioners to foster successful and effective collaboration. The results have significant relevance, particularly within the Australian context as the government has intensified the adoption of measures to encourage and improve collaboration between universities and the industry.

The purpose of this paper is to examine the relationship between implementation of quality management systems (QMS) and business performance, through mediating factors (operating performance, information quality, product quality, design performance, environmental performance and competitive priorities). Most of the published literature examines the direct impact of implementation of QMS on business performance, and on some of the above stated factors. However, the impact of implementation of QMS on business performance, through these mediating factors has not received much attention. Accordingly, the authors develop a theoretical framework depicting impact of implementation of QMS on business performance through the above stated factors.

The paper proposes several hypotheses linking implementation of QMS, mediating factors and business performance. The hypothesized model is empirically tested using data collected from 120 professionals working in quality engineering/management in India and North America. The collected data are analyzed with the aid of structural equation modeling (SEM) technique.

Information quality and design performance have emerged as the important factors in the research. Information quality directly effects design performance, operating performance and environmental performance. The model indicates that besides a well-designed product, managers need to focus on the operating performance to improve overall product quality. Empirical evidence is found regarding direct and indirect effect of implementation of QMS on above stated mediating factors and on business performance.

The research fills a gap in the literature by considering several mediating factors that aid in improving business performance with implementation of QMS.

This study aims to find the dynamic performance parameters of the journal bearing with micro geometries patterning the arc (crescent) shape textures provided in three specific regions of the journal bearing: the full, the second half and the increasing pressure region. The dynamic behavior of textured journal bearings has been analyzed by computing dynamic parameters and linear and non-linear trajectories.

The lubricant flows between the bearing and journal surface are governed by Reynold’s equation, which has been solved by finite the element method. The dynamic performance parameters such as stiffness, damping, threshold speed, critical mass and whirl frequency ratio are examined under various operating conditions by considering various ranges of eccentricity ratios and texture depths. Linear and non-linear equations of motion have been solved with Ranga–Kutta method to get journal motion trajectories. Also, the impact of adding aluminum oxide and copper oxide nanoparticles to the base lubricant in combination with arc-shaped textures is analyzed to further see any enhancement in the performance parameters.

The findings demonstrated that direct stiffness and damping parameters increased to their maximum level with six textures in the pressure-increasing region when compared with the untextured surface. Also, nanoparticle additives showed improvements above the highest value attained with no inclusion of additives in the same region or quantity of textures.

Engineers may design bearings with improved stability and overall performance if they understand how texture form impacts dynamic properties.