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The purpose of this paper is to demonstrate the application of river formation dynamics to size the widths of power distribution network for very large-scale integration designs so that the wire area required by power rails is minimized. The area minimization problem is transformed into a single objective optimization problem subject to various design constraints, such as IR drop and electromigration constraints.

The minimization process is carried out using river formation dynamics heuristic. The random probabilistic search strategy of river formation dynamics heuristic is used to advance through stringent design requirements to minimize the wire area of an over-designed power distribution network.

A number of experiments are performed on several power distribution benchmarks to demonstrate the effectiveness of river formation dynamics heuristic. It is observed that the river formation dynamics heuristic outperforms other standard optimization techniques in most cases, and a power distribution network having 16 million nodes is successfully designed for optimal wire area using river formation dynamics.

Although many research works are presented in the literature to minimize wire area of power distribution network, these research works convey little idea on optimizing very large-scale power distribution networks (i.e. networks having more than four million nodes) using an automated environment. The originality in this research is the illustration of an automated environment equipped with an efficient optimization technique based on random probabilistic movement of water drops in solving very large-scale power distribution networks without sacrificing accuracy and additional computational cost. Based on the computation of river formation dynamics, the knowledge of minimum area bounded by optimum IR drop value can be of significant advantage in reduction of routable space and in system performance improvement.

This study aims to investigate the extent of influence of learning factors on tacit knowledge sharing among the public sector accountants.

A model comprising six learning factors and their conjectured relationships with tacit knowledge sharing was derived from literature review. A self-administered questionnaire was developed and used to collect data from 203 accountants employed by the Accountant-General's Department (AGD) in Malaysia. Factor analysis was employed to confirm the model's validity, after which the hypotheses formulated were tested using multiple regression analysis.

Learning factors such as training and learning opportunities have strong impact on tacit knowledge sharing, while feedback on performance evaluation, and information and communications technology (ICT) know-how and skills have moderate impact. Job rotation does not show any significant impact on tacit knowledge sharing.

This paper contributes to the development of a replicable model for assessing the extent of influence of learning factors on tacit knowledge sharing, particularly in a public sector organization which has an agenda to adopt KM. However, generalizability could be an issue since this research was conducted on one public organization only. Further, the analysis was based solely on accountants' views.

As a knowledge node of public sector accounting knowledge and practice, the results suggest that the AGD should focus on the significant learning factors in order to leverage its accountants' tacit knowledge. This could facilitate the initial efforts of the AGD's KM implementation in terms of maintaining and growing its knowledge assets for better organizational performance.

This study filled the gap in mainstream literature by providing information on KM implementation in a public sector accounting organization.

This paper seeks to develop an understanding of the factors that made reforms possible and analyse the lessons that emerge from the experience. The external debt crisis allowed the reforms to be introduced, while the changed international context supported the process. The lessons learnt are that: competition in the market is desirable; marketization, in itself, is not always desirable; and the speed and sequence of change matter. The lessons not yet learnt are that: a prudent macromanagement of the economy is essential; infrastructure is of critical importance; and the role of the state in a market economy must be redefined. Some essentials, however, are forgotten. This needs correctives.

Using the extant literature review, this paper aims to explore the relationship between gender, entrepreneurial education (EE) and entrepreneurial intention (EI) in the Indian context, which the authors believe is a novel approach to this research stream. The authors also use career preparedness as a control variable to examine this relationship.

Data were collected from 368 undergraduate students across four Indian universities (one exclusively for female students) through a standard structured questionnaire. Additionally, rather than examining, EI has been treated as a monolithic construct; however, the authors conceptualize it as comprising three different dimensions that include grand vision and risk-taking ability; opportunity exploitation; and ability to persevere. An additional analysis was conducted for the students who reported higher scores for “being well prepared for their careers” through their institutes’ academic programs and communities of entrepreneurs. The authors also interviewed some entrepreneurship instructors, who confirmed the present findings through their observations.

The findings indicate that, essentially, there is a positive relationship between EE and EI. The authors find that male students scored higher for the first two dimensions of EI but not the third. Additionally, the authors used career preparedness as a control variable for additional analysis. The authors observed that students with higher “career preparedness” reported a positive relationship between EE and EI, independent of gender, for all three dimensions of EI. Thus, it may be assumed that if a community of entrepreneurs needs to be developed in India, a focus on career preparedness is critical.

First, given that the present survey reflected a single moment in linking EE to EI (which may be considered a limitation of the study), future researchers might focus on a longitudinal approach. Second, all the respondents are attending urban universities (and, as such, very likely belong to the upper middle class of Indian society). The financial divide between urban and rural India is well known; as such, the results might be different if the sample was drawn from rural and poor India.

The salience/value of this study lies in the conceptualization of EI comprising three sub-constructs to understand the impact of formal EE (with three sub-constructs) on EI. The focus on career preparedness for a female student is a new direction of inquiry with respect to entrepreneurial intention.

The study investigates the influence of perceived security (PS) on behavioral intention (BI) via the trust attitude process and explores the moderating effects of gender. PS in mobile wallets enhances user trust (TR), attitude (ATT) and intention (INT). Using a multiple and serial mediation model, both TR and ATT were found to mediate the relationship between PS and BI.

Drawing on the stimulus-organism-response (S-O-R) theory, the proposed conceptual model comprises PS, TR, ATT and BI. An online survey was conducted with a cross-sectional sample of 744 mobile wallet users in India. Partial least squares structural equation modeling (PLS-SEM) was used to analyze the hypothesized relationships and test the mediation effects.

Results show that the stimulus, PS, has a positive and significant influence on TR and ATT, which eventually has a positive influence on BI. The research model explains 64.4 percent of the variance in BI. Further, both TR and ATT independently and parallelly mediate the relationship PS and BI. Lastly, gender is found to moderate the relationship between TR and BI and ATT and BI.

The research showed the importance of PS, TR and ATT towards mobile wallet adoption INTs. Further, the findings support the idea that developing TR and ATT is essential for shaping INTs. This suggests that mobile wallet service providers should invest in methods that not just enhance user TR but also reinforce a positive ATT towards the platform. To demonstrate TR, mobile wallet providers must ensure the confidentiality and privacy of user data, keep customer interests in mind and fulfill commitments. Lastly, for strengthening customer TR, excellent customer support is extremely important.

While prior researchers have majorly used technology acceptance model (TAM) and unified theory of acceptance and use of technology (UTAUT) models to explain adoption INTs, this study examines the relationship between PS, TR, ATT and BI through the lens of the SOR framework.

The purpose of this paper is to examine the factors that influence the attitude and behavioral intention towards mobile wallet adoption and to examine the moderating effect of gender and age between antecedents of mobile wallet adoption and user attitude and intention.

Based on the literature review, certain themes around mobile wallet adoption were generated around which inputs were sought through two focus group discussions, first of which comprised working executives and second comprised students. A sample of 744 users of mobile wallet provided their awareness on mobile wallets, various mobile wallet services used and perception on ease of use, usefulness, trust, security, facilitating conditions and lifestyle compatibility (LC). To examine the moderating effect of gender and age, two methods, namely, Henseler’s partial least squares-multi group analysis (PLS-MGA), a non-parametric approach, and PLS-MGA, parametric approach, are used. The data was analyzed using partial least square-structural equation modeling.

The ease of use, usefulness, trust, security, facilitating conditions and LC significantly influence user attitude and intention. The results show that both gender and age moderate the relationship between select antecedents and attitude and intention and the influence is seen more for males and young users.

The sample comprises students and professionals from metros and large cities; hence, the generalizability of the results to the population at large may be limited. This study only examines the moderating role of age and gender. Future studies may include other demographic variables such as education, income, occupation, experience and household size.

The findings help mobile wallet service providers understand the relevance and influence of various antecedent variables on the attitude and intention to adopt technology. This will help to plan and prioritize attributes for marketing purposes to increase the adoption and usage rates. Moreover, managers should plan strategies to enhance confidence among females and old age customers.

The proposed model both investigates the impact of antecedents on user attitude and intention and examines the moderating effect of select demographic variables. There are few empirical studies on the moderating effect of gender and age in the context of mobile wallets in India.

The purpose of this study is to segment mobile wallet users using a finite mixture partial least squares (FIMIX-PLS) approach and evaluate the unobserved heterogeneity across segments.

Partial least square structural equation modeling (PLS-SEM) using a convenience sample of 744 responses was used to analyze the measurement, structural model and hypotheses testing. To examine unobserved heterogeneity and identify user segments, FIMIX-PLS technique was employed. To generate more precise recommendations, importance-performance map analysis (IPMA) was performed with attitude as the target variable.

A structural equation model revealed that except perceived ease of use (PEOU) all other dimensions, namely perceived usefulness (PU), lifestyle compatibility (LC), facilitating conditions (FC), trust and security significantly influences attitude which, in turn, determines intention. The FIMIX-PLS technique resulted in four segments – The Rationalist, Early Adopters, Late Adopters and The Innovators.

The paper provides segment specific and between segment differences to derive implications. Identification of relevant predictors and segments will help academicians, marketing researchers and practitioners in gaining further understanding of the mobile wallet adoption. The findings of the paper can guide mobile wallet providers to frame appropriate strategies and offerings pertaining to the obtained segments.

The paper builds upon Technology Acceptance Model (TAM) to propose an integrated model to explain adoption behaviors associated with mobile wallet. To the best of the authors' knowledge, this is one of the first empirical attempts using FIMIX-PLS technique to assess precursors of adoption and substantiates the perceived value-attitude-intention linkage to identify heterogeneity among mobile wallet users.

The current study examines the impact of various psychological factors, university environment and sustainable behaviour on teachers' intention to incorporate inclusive education in higher education.

A cross-sectional survey was conducted to collect data from 204 academicians and scholars from India. Structural equation modelling (SEM) was employed to examine data.

Results revealed that teachers' attitudes, university environment and spirituality had a positive and significant association with intention to incorporate inclusive education. Path analysis showed that teachers' attitude was the most prominent predictor of intention to incorporate inclusive education, followed by spirituality and university environment.

The study determines the key predictors of teachers' intention to incorporate inclusive education. The identified factors can help the government and public policymakers foster inclusive education. The study determines that teachers have the capability to drive inclusive education through intrinsic spiritual views and feelings of satisfaction and happiness. Marketers must capitalize on the spiritual aspect of individuals and accordingly develop long-term inclusive strategies.

The current study addresses prevailing gaps in existing literature on teachers' attitude and intention to adopt inclusive education. The study examines the impact of key predictors of teachers' intention to adopt inclusive education and focuses on emerging factors such as university environment, spirituality, teachers' self-efficacy, concern and sustainable behaviour.

This study examines various aspects of green energy management operations in India and reports the current state, potential avenues and barriers for green energy management.

This study performs an extensive literature review and covers the several aspects of green energy management operations.

The findings report the current state of various aspects of green energy management operations such as: procurement, manufacturing and distribution and provides the viable business models. It further explains the various facilitators and barriers of green energy management and reports the opportunities and challenges that exist in developing and managing green energy supply chain.

The study is pioneer in providing a comprehensive view of developing and managing green energy operations in India. The study is useful to various organisations on drafting strategies to effectively adopt and manage green energy. The study is also useful in policy formulation for promoting green energy use. This article also set as a base for future researchers working in the area of green energy.

India has the second highest percentage of mobile wallet adoption driven by availability of affordable smartphones and Internet. Despite a general interest, studies on its adoption have been scarce. This research assumes that user segments exist, each with their own level of maturity, and addresses the question “Are there segments which can be profiled?” Thus, the objectives of the study are to propose a model that explains the attitude of user segments towards its adoption; identify probable user segments and profile them; examine the importance and performance of constructs which influence attitude within each cluster and recommend ways to improve performance.

This paper employs the constructs from two popular theories on technology adoption, i.e. technology acceptance model (TAM) and Unified Theory of Acceptance and Use of Technology (UTAUT). A synthesis of review of literature on these models, besides two focus group discussions (FGDs), was used to design a pilot instrument. A nationwide survey was conducted, and 744 responses were obtained. Convenience sampling was used to select the respondents. The average scores of various constructs were computed and subjected to hierarchical clustering. Further, k-means clustering was carried out. The demographic profiling of each cluster was done through cross-tabulation and differences related to attitude and intention between clusters were tracked by one-way Analysis of Variance (ANOVA). To determine the relative importance and performance of constructs within each cluster, Importance-Performance Map Analysis (IPMA) using Smart Partial Least Squares (PLS) was carried out.

The hierarchical clustering resulted in three clusters. The result of k-means clustering was used to label the clusters as Technology Enthusiasts (TE), Technology Sceptics (TS) and Technology Pragmatists (TP). The obtained clusters were found to differ in terms of perception, attitude, intention, behavior, marital status, education, occupation and income levels. With respect to each cluster, it was seen that the top three important constructs are Perceived Usefulness (PU), Security (SEC) and Lifestyle Compatibility (LC) as indicated by the IPMA. The findings indicate that mobile wallet providers should focus on all six constructs, with special focus on PU, SEC and LC. The findings of this study will help mobile wallet providers in customizing their offerings to enhance adoption attitude in all three clusters.

This study examines the perception of students and working professional towards mobile wallet adoption and uses this data for segmentation. However, there could be underlying differences between these two groups, as the motive behind adopting a technology may be different. Thus, treating them as homogenous user segments could be a limitation. Therefore, exploring segments and profiles for each type of user may be an area for future research. Mobile wallet providers should also give utmost importance to perceived usefulness, security and lifestyle compatibility while designing their services. This will not only enhance user trust and compatibility with mobile wallet but also improve the outcomes associated with its usage.

This study will help mobile wallet providers understand the user segments and customize their service offerings.

This study provides a comparison of the respondent profiles of three obtained segments of mobile wallet users. While prior studies have identified segments associated with adoption of technologies like ATM banking, SMS banking, online banking, Internet banking, mobile banking etc., not much has been reported on mobile wallet adoption. To the best of the authors' knowledge, this is a novel study in India, aimed at identifying user clusters among adopters of mobile wallets and developing cluster profiles based on demographic, attitude and intention.