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The purpose of present study is to identify influential aspects of published literature, research streams and future research questions to set forth future research agenda based on comprehensive literature review using bibliometric and content analysis.

The study analyzed 285 documents from the international Scopus database using bibliometric analysis and content analysis. VOSviewer software is used for bibliometric analysis.

The study identified influential aspects of published literature; identified five significant research streams: (1) Demonetization and financial system, (2) Demonetization and financial technology, (3) Demonetization and financial market, (4) Demonetization and digital payment system and (5) Demonetization and governance and proposed 27 key future research questions to develop future research agenda.

The present study makes significant contribution to the literature by providing a framework for future research. The framework provides opportunities to future researchers to explore the web of relations among five identified research streams as future research agenda.

The present work is unique in its way of contribution, as to the best of researchers' knowledge no work was witnessed in published literature to cover demonetization in a detailed and comprehensive manner. The present study fills this gap by conducting bibliometric analysis and content analysis. The study proposed conceptual framework for demonetization characterization to understand the demonetization literature well; and also proposed framework for future researcher to be explored further.

Material extrusion (MEX) is a class of additive manufacturing (AM) process based on MEX principle. In the viewpoint of Industry 4.0 and sustainable manufacturing, AM technologies are gaining importance than conventional manufacturing route (subtractive manufacturing). Because of the ease of use and lesser operation skills, MEX had wide popularity in industry for product and prototype development. This study aims to analyze energy consumption of MEX-based AM process and its influencing factors.

A group of factors were identified pertaining to MEX-based AM process. In this viewpoint, this study presents the configuration of a structural model using interpretive structural modeling (ISM) to depict dominant factors in MEX-based AM process. A total of 18 influencing factors are identified and ranked using ISM methodology for MEX process. The Impact Matrix Cross-reference Multiplication Applied to a Classification analysis was done to categorize influencing factors into four groups for MEX-based AM process.

The derivation of structural model would enable AM practitioners to systematically analyze the factors and to derive key factors which enable comprehensive energy modeling and energy assessment studies. Also, it facilitates the development of energy efficient AM system.

The development of structural model for analysis of factors influencing energy consumption of MEX-based AM is the original contribution of the authors.

The purpose of this paper is to uncover the significance of green supply chain management (GSCM) to study the impact lean practices, namely, Kaizen and innovation management practices on organizational sustainability.

The subject of green supply chains attracts a growing interest in academic and professional literature since 1990. Questionnaire survey and structured interviews (set of questions) among the industrial professionals and academicians of northern India region have been performed to ascertain the significance of GSCM toward organizational sustainability. Structural equation modeling, Cronbach’s alpha, z-test, correlation and t-test have been used to ascertain the significance of lean practices toward sustaining organization by taking the mediating effect of GSCM.

The results signify the negative potential of combined Kaizen, innovation management and government policies on environmental thinking through supply chain. The innovation management strategies and Kaizen individually has positive influence on environment supply chain but government policies should be improved to improve the positive impact on environmental thinking through supply chain by decreasing pollution. Economic performance, environmental performance and competitive performance are significantly improved by implementing Kaizen and innovation management through GSCM.

The research is limited to northern India. Moreover, selection of industry and academic organizations has been done on convenient sampling technique.

The paper demonstrates the application of lean techniques, namely, Kaizen and innovation management practices, showing how it can bring real breakthroughs in organizational sustainability through GSCM.

This paper aims to examine the determinants of the dividend policy of the construction companies in India.

Data from 2011 to 2016 (six years) of 45 listed construction companies in India are collected, and a strong balanced panel is created. Dividend per share is dependent variable, and profitability, unstable earnings, institutional holding, cash flow, tangibility, liquidity, growth opportunities, age of the firm, life cycle, leverage, size of firm and taxation are explanatory variables. The panel is tested for stationarity and finally fixed and random-effect panel regression model with robust estimation option is performed.

The random effect model is found fit with an R² of 62 per cent, and profitability, life cycle and size of the firm show a significant positive effect on dividend payment. Cash flow shows a negative significant relationship, indicating the presence of agency problem. Rest of the variables indicated an insignificant relationship.

The study is carried out on a small sample of 45 companies with data of only six years. Further, there may be behavioral and psychological factors that drive the decision to declare dividend. Those factors have not been considered in present study. Despite considerable efforts, the author could not find more studies specific to the construction sector. Hence, the variables identified in the present study are more generic, even though a few sector-specific studies have been included.

The dividend policy determinants for the construction sector in India are investigated, and a comprehensive model based on 12 explanatory variables is tested to find the drivers of dividend payout in Indian construction companies. From the investor’s point of view, the sector has immense potential in terms of dividend as well as capital appreciation. Therefore, the study can be useful to the investors to understand the drivers of dividend payout in the construction sector. It can also be crucial for companies to create an appropriate dividend policy so as to attract and retain investors. The study contributes significantly to the existing body of knowledge by recommending the salient drivers of dividend payout in the construction sector based on a comprehensive dataset and using robust methodology.

Outlines why India is poised to be a key partner in the global ecosystem economy

Researches the advantage India has and the steps it is taking to make itself a leaders in ecosystem businesses.

54 percent of Indian executives expect ecosystems to replace traditional value chains with new value models. and 92 percent expect to change primary organizational activities due to the emergence of ecosystems.

To maximize and capture benefits from ecosystems, business, educational and government leaders can pursue three key steps to participate in rapidly emerging Indian business ecosystems.

This study puts together both the corporate and governmental actions that promote the right conditions for ecosystem entrepreneurship so that potential partners have a unique view of the opportunities to participate in this rapidly changing economy.

The current work provides a framework for the ranking of ontology development methodologies (ODMs).

The framework is a step-by-step approach reinforced by an array of ranking features and a quantitative tool, weighted decision matrix. An extensive literature investigation revealed a set of aspects that regulate ODMs. The aspects and existing state-of-the-art estimates facilitated in extracting the features. To determine weight to each of the features, an online survey was implemented to secure evidence from the Semantic Web community. To demonstrate the framework, the authors perform a pilot study, where a collection of domain ODMs, reported in 2000–2019, is used.

State-of-the-art research revealed that ODMs have been accumulated, surveyed and assessed to prescribe the best probable ODM for ontology development. But none of the prevailing studies provide a ranking mechanism for ODMs. The recommended framework overcomes this limitation and gives a systematic and uniform way of ranking the ODMs. The pilot study yielded NeOn as the top-ranked ODM in the recent two decades.

There is no work in the literature that has investigated ranking the ODMs. Hence, this is a first of its kind work in the area of ODM research. The framework supports identifying the topmost ODMs from the literature possessing a substantial amount of features for ontology development. It also enables the selection of the best possible ODM for the ontology development.

The purpose of this study is to develop a model that explains a user’s attitude toward M-payments in India, based on the motivational model and awareness about demonetization policy. The study also investigates the validity and differential predictive power of four different M-payment usage models, by considering the effect of improved awareness regarding demonetization policy on the core construct of the motivational model.

The model was tested with survey data from 362 M-payment users using partial least squares. Respondents were M-payment users with significant usage experience.

This study empirically determined that the motivation model and awareness about demonetization policy in M-payment usage after demonetization are connected. As hypothesized, the study found: a positive relationship between extrinsic motivation and intention to use M-payment, positive relationship between awareness about demonetization policy and behavioral intention to use M-payment, positive relationship between intrinsic motivation and extrinsic motivation, positive relationship between awareness about demonetization policy and extrinsic motivation and positive moderation effect of awareness about demonetization policy on the extrinsic motivation-behavioral intention relationships. The hypothesis that awareness about demonetization policy would have a moderating effect on intrinsic motivation–behavioral intention relationship was not supported.

From a practitioner’s perspective, this study underscores the importance of raising sufficient awareness about the demonetization policy as a determinant of users’ willingness to use M-payment services. Mandatory regulations by the government and motivation toward M-payment use can be a good starting point for a cashless economy.

This study makes a needed contribution to the literature by validating the integrated motivation model, emphasizing the importance of raising awareness about the demonetization policy among M-payment users. The model may provide a useful foundation for future research in this area.

This study proposed and tested three comprehensive models of the usage intention of proximity mobile payment services after a government regulation, by integrating the theory of planned behaviour (TPB) and the norm-activation model (NAM). The purpose of this paper is to investigate the effects of moral norms, merchant pro-activeness and perceived government regulation (demonetisation) on users’ continuance intention of proximity mobile payment services.

In total, 387 users of proximity mobile payment services in India were surveyed using a structured questionnaire. This study was carried out with shoppers in the Mumbai Metropolitan Region and New Delhi because of the diverse and large population of these cities.

The results of this study indicated that: integrating the variables of NAM into the original TPB model enhanced the prediction effect; perceived demonetisation regulation exerted a direct determinant effect as well as moderate effect on continuance usage intention of mobile payment services; also, extended TPB model with perceived demonetisation regulation as moderator could satisfactorily predict the continuance usage intention.

The results provided insightful evidence for the government and policymakers to outline more effective mandatory regulation policies.

This investigation attempts to enhance the theoretical understanding of the antecedents of in-store proximity mobile payment services after government regulation (demonetisation) in India.

Research on financial inclusion (FI) in Islamic countries has evolved and gained prominence. This study aims to construct an extensive multidimensional FI index to ascertain the level of inclusion and trends in the Middle East/North Africa (MENA) countries. Additionally, this study examines the potential role of Islamic finance in improving access to financial services.

Data for the study were collected from databases covering MENA countries for the period 2010–2020. An inclusion index has been constructed using the entropy method.

Key findings indicate that the overall FI has improved in Islamic countries. However, it should be noted that all MENA countries fall within the low or medium levels of the inclusion index. It was observed that insurance access and penetration savings were poor in the Islamic MENA countries.

The authors recommend that policymakers focus on insurance access and saving behaviour in their respective countries. Based upon these observations, policymakers should promote the economic benefits of Islamic finance, which will help improve FI and economic development in Islamic countries. This study emphasises the necessity of policy framework reform to provide Islamic financial services to the poorest in society at low or no cost for better economic benefits.

Most studies tend to overlook important indicators such as insurance, savings and credit penetration while calculating the index. These indicators add value to the existing literature. The majority of prior studies used United Nation Development Programme methodology or principal component analysis for Inclusion Index measurements. The adoption of the entropy weighting method is the novelty of this study.

There has been an increase in the number of highly qualified management graduates specialized in finance from various esteemed universities in India, thus increasing the competition for finance job roles in the country. This, therefore, brings in the need for the employees or the prospective candidates to mold their soft skills so as to make them desirable by the companies and hence employable. The purpose of this paper is to provide a list of skills required by management graduates to become employable for finance job roles from the perspective of corporate executives. This list will enable prospective candidates to prepare themselves for a career in the field of finance.

The research was carried out through the collection of data from 117 finance professionals with a minimum work experience of 5 years with the help of structured questionnaires. This was then analyzed through factor analysis and the list of 15 factors was obtained.

A list of 15 essential factors was obtained through the analysis of the data. The essential skills included empathetic and judicious behavior, professional etiquette and employee well-being, ethical behavior, conflict management, change analysis and prediction; practicality and organizational presence of mind; social and moral presence of mind; self-confidence and effective written communication; effective interpersonal communication and employee value systems; responsibility and self-awareness; problem diagnosis and problem-solving; real-time work and activity experience; professional development and advancement; technology rationalization and effective information generation. The findings also included that a candidate should be able to effectively present crucial information and should possess practical advisory skills.

The study will be highly beneficial for management graduates who have specialized in finance to secure finance job roles in India. This paper will enable the students to prepare themselves in the essential soft skills required for these job roles apart from technical knowledge and hard skills.