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The aim the study is to explore the impact of real exchange rate volatility and other macroeconomic variable such as price of import, industrial production and real exchange rate on 45 import commodities, considering global financial crisis period on India's import from the US. The empirical analysis at disaggregate level of import indicates the existence of both short-run and long-run effect in one-third importing commodities. The results show both positive and negative effect and causality among variables.

The study uses E-GARCH model to gage the real exchange rate volatility, an autoregressive distributive lag (ARDL) bound test technique to discover the adequate short- and long-run relationships and Toda-Yamamoto causality method to analyze the causality among variables. The study uses the time period from 2002:M09 to 2019:M06.

The empirical analysis at disaggregate level of import indicates the existence of both short-run and long-run effect in one-third importing commodities. The results show both positive and negative effects and causality among variables.

The finding of the study suggests that macroeconomic variables have significant role and could be important to undertake the small and medium scale industries in policymaking. Government may need to make decision for micro, small and medium enterprises (MSMEs) as their performance can bring change in the trade to compete globally by increasing and controlling the price of the import and defending the domestic competitiveness.

The study uses additional variable namely price of import and includes the global financial crisis period to measure dampening effect on each commodity by using robust econometric technique in context of emerging nation like India.

The essence of responsibility in leadership can help to integrate course of action of policy makers and Corporate Social Responsibility (CSR). This will augment meaningfulness of the humanity in human in the present era of isolationism, when everyone is becoming the part of the race. However, the precise criterion of different contexts of behaviour for Corporate Social Performance (CSP) that the pioneers or leaders understood and demonstrate the accountability is uncertain. This ambiguity and multiple dimensions of responsible leadership (RL) present in the current literature are concurring. Gaps identified indicates that there should be a methodical research on the impact of such leadership on the societal and firm level of outcomes. By following interpretivism approach in research, this paper relies on the content analysis of speeches, welcome stories, biographies and recorded interviews of selected business leaders and entrepreneurs in India. This research study identifies four different dimensions of orientation that leaders practice while fulfilling their responsibility and envisioning CSR. The limitation of this study is that it tries to map the leader's orientation under a cultural spectrum, but its findings still provide major insights for the future perspective of research based on the RL matrix model. The outcome of this study will be useful for the leaders to recognise the dimensions of responsible leadership for creating value addition in their style and practices. The model identified envisages practical implications of the corporate social responsibility theory.

Becoming a learning organisation (LO) is an aspiration for every organisation as it offers internal capabilities, a competitive advantage and synergy gains to organisational members. Scholars across the globe have tried to examine the outcomes of LO at various organisational levels. Still, the existing literature is fragmented, and there is no systematic understanding of the multi-level outcomes of LO. Therefore, this study aims to synthesise, analyse and categorise the scientific literature into various levels of outcomes of LO to provide a conceptual framework for use by future researchers and academicians.

The authors have performed bibliometric analysis using 603 research articles published in Scopus, entailing 1,345 authors from 77 countries, followed by a thematic cluster analysis using bibliographic coupling to understand the current research trends and to recommend a set of broad themes to provide direction for future researchers in this domain.

The results are largely descriptive and aim to capture a panoramic view of what has been written on the topic so far. The bibliometric analysis was conducted using different means like citation analysis, cluster analysis, and keyword analysis to reveal the most significant publications, notable authors, keywords, current research trends, and future research questions. Further, the bibliographic coupling led to the categorization of the outcomes of LO into the following four clusters (including sub-clusters): (1) Individual level learning outcomes (2) team-level learning outcomes, (3) organisational-wide learning outcomes and (4) inter-organisational learning outcomes.

Managers and practitioners (change agents) expect academicians and researchers to suggest a set of actions that integrates their learning efforts with business performance across diverse sectors and industries. So, future researchers may try and explain the findings of seminal studies identified in the most cited documents, to design choices and trade-offs that may address major hindrances in implementing the construct in true spirit. The researchers may collaborate with practitioners to study the outcomes of LO with a scientific and empirical lens. Finally, the study invites change agents and organisation development (OD) practitioners to document the outcomes of their efforts to create and leverage the outcomes of LO.

Researchers across the world have tried to examine the outcomes of LO at various levels in organisational setting including, measuring capabilities and attitudes at individual level, team capabilities and innovation, and organisational performance and sustainability, but still there is no tested conceptual framework which encompasses the various outcome levels of LO in one frame.

An amalgamation of Decision-Making Trial and Evaluation Laboratory (DEMATEL) and Analytical Network Process (ANP) has been performed to develop a decision-making framework for improving the overall performance of the microfinance institutions. A primary survey was conducted to collect real-time data from the heterogeneous stakeholders of microfinance institutions across India. The validation of the proposed framework is performed by comparing the results against the conventional method of Analytical Hierarchy Process (AHP).

This study identifies various dimensions and indicators for measuring the performance of Indian microfinance institutions. Additionally, the ranking and prioritisation of the performance dimensions and indicators is obtained by considering the mutual interrelation between them.

The study indicates that there exists a significant dyadic relationship between financial performance and social performance for improving the overall performance of the microfinance institutions. Governance is found to unidirectionally influence both financial and social performance. Among all the considered dimensions, financial performance of a microfinance institution is the most critical dimension for improving the overall performance. The top five performance indicators of the Indian microfinance institutions are funding source, borrowing and overhead cost, size of the firm, end-use of the money and depth of outreach.

The study was conducted in the context of Indian microfinance institutions; hence the scope of generalisation of the results is limited. This research considers both subjective and objective aspect of the performance dimensions and indicators from the perspective of multiple stakeholders (i.e. firm, society and regulator). The integrated framework is expected to aid in improving overall performance of microfinance institutions by focusing on the most critical (high prioritised) performance indicators.

An integrated DEMATEL-ANP framework is used in the domain of microfinance to assess the performance dimensions. This study is unique in terms of analysing performance of microfinance institutions from the perspective of heterogeneous stakeholders.

Today, a firm’s major concern is to know the way in which an innovation is adopted in the marketplace. The purpose of this paper is to focus on the two-stage nature of diffusion process in which the time lag between people being informed and their act of making final purchase is considered.

The paper discusses an approach based on the time lag for modeling awareness and adoption process as two separate and yet connected processes. Varying forms of time lag (constant, deterministic or random) have been considered while modeling the required framework. Furthermore, an equivalence approach has been shown between the present framework and the two well-known and established approaches of infinite queuing theory and hazard rate function.

The results are verified on sales data of two different consumer durables and it show good prediction capability of proposed models in capturing the real-life scenario. Further, the equivalence approach helps us to quantify such scenarios which were difficult to be modeled with any one particular approach. Further, the possibility of capturing different market scenarios by studying various distribution functions has been identified.

The proposed methodology is based on a two-stage adoption process. The same can be extended to a multi-stage adoption process as in today’s competitive environment. “Motivation” is one such factor that is highly important which can be considered in some later studies. In future, the authors wish to study the multi-stage adoption process considering the different forms of time lag function.

The equivalence approach discussed in the paper can help to cater the possibility of capturing different market scenarios by studying various distribution functions.

The proposed approach helps to cater the time lag between awareness and adoption process and develop different mean value functions to account for the manner in which sales are happening under different circumstances. The proposed methodical approach can also help decision makers in managing their available resources in a prudent manner.

Enterprises are increasingly taking actionable steps to transform existing business models through digital technologies for service transformation such as big data analytics (BDA). BDA capabilities offer financial institutions to source financial data, analyse data, insight and store such data and information on collaborative platforms for a quick decision-making process. Accordingly, this study identifies how BDA capabilities can be deployed to provide significant improvement for financial services agility.

The study relied on survey data from 485 banking professionals' perspectives with BDA usage, IT capability development and financial service agility. The PLS-SEM technique was used to evaluate the underlying relationship and the applicability of the research framework proposed.

Based on the empirical test from this study, distinctive BDA usage grounded on the concept of IT capability viewpoint proof that financial service agility could be enhanced provided enterprises develop technical capabilities alongside other relevant resources.

The study further highlights the need for financial service managers to identify BDA technologies such as data mining, query and reporting, data visualisation, predictive modelling, streaming analytics, video analytics and voice analytics to focus on financial knowledge gathering and market observation. Financial managers can also deploy BDA tools to develop a strategic road map for data management, data transferability and knowledge discovery for customised financial products.

This study is a useful contribution to the burgeoning discussion with emerging technologies such as BDA implication to improving enterprises operations.

This paper seeks to conduct an in‐depth study of international trends in private higher education and focus on the Indian scenario

The methodology adopted is conceptual, analytical and comparative.

Though there has been better acceptability of private higher education institutions in India today than the “trepidation” felt at their emergence three decades ago, certain basic questions have been raised: Is the presence of private sector in higher education inevitable? Is it desirable too? Why is the Supreme Court of India intervening in matters pertaining to private higher education so frequently? What are the issues at stake?

An attempt is made to highlight the political‐economic, socio‐cultural, national‐international, ethical‐philosophical and legal‐practical aspects of this outreaching theme, in general, and focus on the driving forces, causes, and consequences of the emergence of the private higher education during the last three decades, in particular.

Mathematical modeling of innovation diffusion is a constantly evolving field within marketing science. The diffusion process explains the dispersion of an innovation among potential buyers. Prior research on innovation diffusion has been based on modeling varied aspects of real life situations in marketing. One such aspect is studying the adoption process depending on the awareness and motivation level among the customers. Awareness is having knowledge of an innovation, whereas motivation is about the perception of an individual. In line with these aspects, the purpose of this paper is to propose a unified modeling framework for the adoption process based on the awareness and motivation about the product.

When the market is well informed about the product, there are some people who are motivated and some, who have adopted the product earlier and shall now influence others in their buying behavior. It is very much similar to queuing system in which some units are waiting in a queue for the service, service for some units are being processed and some units have already been served. This analogous behavior between two approaches has motivated the use of infinite server queuing theory in modeling adoption of the product. Thereafter, the authors have proposed a unification scheme to model different market scenarios.

From analyzing the values of comparison criteria, it was not clear that which among them is performing best. Thus there was a need for an approach which can judiciously find the optimal model. For this very purpose the authors applied distance-based approach which was capable of computing the optimal model based on the distance of attribute value from the optimal. The analysis performed on two real life sales data sets depict that model in which awareness is following logistic pattern and motivation and adoption are following a constant pattern is ranked one.

The idea has been validated on product. It would be interesting to know how the methodology works on service.

The modeling framework discussed in this paper can be helpful to know from the available set of alternative, which among them is performing better in capturing the spread of the product in the market. The proposed framework offer some managerial guidance by highlighting the unusual aspects of diffusion process and also present an approach to judge the best among a set of different models.

This paper aims to present a case study on the public value of the e‐Sri Lanka program. Four major dimensions of public value creation through e‐government including the delivery of public services, the achievement of outcomes, the development of trust, and the effectiveness of public organizations are considered in evaluating the performance of the e‐Sri Lanka program. The progress of e‐Sri Lanka program is evaluated, and the potential areas for improvement in the development of e‐government in Sri Lanka are identified.

Existing methodologies for evaluating the public value of e‐government have been critically analyzed. The need for extending existing methodologies for better assessing the performance of e‐government is discussed. Consequently, an extended conceptual framework is developed for evaluating the public value of e‐government. Various national survey data in Sri Lanka on e‐government development are used for conducting the empirical analysis on the performance of the e‐Sri Lanka program.

The study reveals that the public value of e‐government in Sri Lanka is unsatisfactory in all the dimensions of public value generation. It shows that the proposed framework is effective in facilitating the identification of public value of e‐government in Sri Lanka. Furthermore, the study shows that the lack of e‐services, the security threat to public information in public organizations, the low adoption of information and communication technologies in government, and the low uptake of available e‐government initiatives are the key reasons for such a poor performance in e‐government.

The proposed framework can be used for evaluating the public value of e‐government. It provides individual governments with an effective means for better understanding the impact of their e‐government efforts on their citizens and societies, leading to better policies and strategies being made for the continuous development of e‐government.

The proposed framework would be the first approach in examining the public value of e‐government by considering all the dimensions of public value creation. It is the first in‐depth study of public value creation through e‐government in Sri Lanka. Such a study is significant to Sri Lanka giving that its e‐government development is at a crucial stage supported by various international aid organizations.

The purpose of this paper is to capture and understand the nature of the relationship between e-government development and the digital economy.

Drawing on the Technology Acceptance Model and Fountain’s technology enactment theory, a multidimensional research model was developed. The model was tested empirically through an international study of 67 countries using reputable archival data, primarily including the UN’s e-government survey and the Economist Intelligence Unit’s digital economy rankings.

The empirical findings indicate a strong positive reciprocal (two-way) relationship between e-government development and the digital economy. This finding provides empirical evidence to support the general notion of “co-evolution” between technology and organisations. The study also finds that along with social, economic, political, technological and demographic factors, certain national cultural characteristics have significant effects on the digital economy and e-government development.

Relying on archival global data sets, this study is constrained by the coverage and formulation of the data set indices, the sample size (67 countries), and the impossibility of detecting errors that may occur in the process of data collection. Therefore, caution should be taken when making generalisations about the findings of this study.

The paper addresses a deficit of empirical research that is supported by sound and established theories to explain short-term dynamics and the long-term impact of the digital economy on public administration. The study contributes to a more accurate and comprehensive understanding of the dynamic relationship between e-government development and the digital economy.