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The purpose of this paper is to determine the factors affecting the capital structure of companies engaged in the Indian energy sector.

Capital structure theories and empirical literature have been reviewed to formulate propositions concerning the factors/variables determining the capital structure of Indian energy companies. The examination is done using panel data techniques for the sample 141 companies operating in the Indian energy sector.

The results show firms’ age, asset turnover ratio, liquidity and firms’ size to be significant determinants of capital structure for the Indian energy companies, while profitability, debt service capacity, sales growth, non-debt tax shield and tangibility ratio to be insignificant determinants. Historically, profitability has shared a significantly negative relationship with debt ratio; however, the relation here is not significant.

The focus of the current study is on Indian energy sector, the results obtained will not be applicable for other sectors.

The current research gives an insight into the determinants of capital structure of the companies engaged in the Indian energy sector, which are mostly overlooked due to the laws, policies and regulations governing the sector as a whole.

Employment is considered to be one of the principal economic benefits for individuals and households, in the areas impacted by the extractive industry, which have traditionally gone predominantly to men. Previous researches suggested that women were less likely to be in leadership positions and have gainful employment in countries with a higher economic dependence on the extractive industries, than countries with a low dependency. World Bank (2013) highlighted that increasing women’s employment opportunities is good both for business, as well as for local economic development. International Finance Corporation (IFC, 2013) research indicated that higher female labour force participation may increase profits by 6–20%, drive innovation, raise attendance and retention rates, and reduce organisational risks within businesses. The current research primarily aims to investigate the representation of women in the European Union’s (EU) energy sector. The area of focus will be the companies operating in the energy sector, both renewable and non-renewable.

The present study deals with the growth performance of export (X), ­import (M), and economic growth (Y) in India over the period 1970–1971 to 2016–2017 as well as tariff (TR) for the period 1990–2017 by employing the methodology of one-time endogenous structural break suggested by Zivot and Andrews (1992). Also, an attempt has been taken to examine the direction of causality between the above-mentioned trade-related variables and economic growth using Granger Causality Test. Results of estimation reveal that all the variables converge toward a stationarity process having constant variability overtime. There exists structural break in the year 1996, 2006, 2008, and 2010, respectively, for economic growth, tariff, imports, and exports. Bidirectional causality is found running from economic growth to tariff and from tariff to economic growth. But there is unidirectional causality from imports to tariff, imports to exports and from exports to tariff.

The relevant importance of enterprise architecture (EA) to an organization has gained the attention of the public sector. However, its adoption rate remains slow on the uptake. Thus, this study aims to investigate the various factors associated with adoption intention based on the technological, organizational and environmental framework for federal and state types of public organizations to provide greater predictive accuracy and relevance of EA adoption in Malaysia’s public sector (MPS) context.

An empirical study was conducted through an online survey in Malaysia. Based on 255 samples from public organizations throughout Malaysia, a multigroup analysis with partial least square structural equation modeling was performed to identify the respective influencing factors for adopting EA by federal and state organizations in the Malaysian public sector.

Five organizational factors (clear communication, normative pressure, expected benefit, good governance and organization size) and two environmental factors (coercive pressure and mimetic pressure) were found to be significant factors influencing adoption intention for EA. Additionally, clear communication and coercive pressure were noted to be significant factors influencing adoption for both federal and state organizations. Other significant factors for federal organizations include expected benefit and normative pressure, whereas for state organizations, another significant influencing factor was good governance. The predictive accuracy for federal organizations was slightly higher at 74.6% than that of state organizations, that is, at 65%.

These findings imply that federal and state organizations respond to different factors that motivate their intention to adopt EA. These findings guide future intentional practice and ensure greater motivation for EA adoption.

The identification of specific factors that matter to the federal and state public organizations in driving intention to adopt EA in this study has provided significant information that could help in effective decision-making process for these organizations. Common strategies that emphasize on clear communication and coercive pressure can be applied to address EA adoption processes for both federal and state public organizations. Further to that, more specified strategies such as highlighting expected EA benefits and instilling good governance work more effectively for federal and state, respectively.

This study has provided a more extensive view of EA adoption in MPS by differentiating the discerning factors based on the technological–organizational–environmental framework significant for federal and state types of organizations. Hence, this could help in formulating strategies specified to the organization type and ensure greater success in EA adoption in both federal and state organizations.