Journal of Contemporary Issues in Business and Government

The success of the small and medium-sized enterprises depends extensively on the owner’s
ability to be financially literate in managing finance-related matters of the business,
irrespective of his or her gender. The purpose of this study is to identify the level of financial
literacy of the women owners of small and medium sized enterprises in Sri Lanka. The
construct ‘financial literacy’ was measured based on five dimensions, which are finance
related awareness, financial planning, bookkeeping and accounting, knowledge about
business terminology, risk management, and diversification. The convenience sampling
method was applied to select 242 women owners from the population involved in Women
Entrepreneurs Finance Initiative in Sri Lanka. Data was collection was conducted using a
structured questionnaire, complemented by over-the-telephone and personnel interviews, to
assess the level of financial literacy among the women owners of small and medium-sized
enterprises in Sri Lanka. Descriptive analyses were used for the data analysis, at the end of
which the study identified a moderate level financial literacy among the women owners of
small and medium-sized enterprises in Sri Lanka. From the five dimensions chosen, the
knowledge on bookkeeping and accounting, risk management, and diversification are the
aspects that women entrepreneurs need to become experts in for the success of small and
medium-sized enterprises. As the pioneer study that examines the level of financial literacy of
women owners of small and medium-sized enterprises in Sri Lanka, this study would provide
a significant benchmark for further research in the field. Nevertheless, the study also
highlights the importance of including financial literacy education both for primary and
tertiary educational institutions.

Big data is huge amount of information that cannot be handled with conventional method.In various fields, the field of big data has an essential role to play.This research investigated that the Big Data Usage Intention of listed companies in Sri Lanka, is to provide empirical evidence concerning the Big Data Usage Intention of listed companies. Data were collected using survey and market research techniques in listed companies in CSE. For this purpose, descriptive, correlation, and multiple regression analysis was employed.
In many fields of business and management, Big Data Analysis (BDA) is an emerging technology. Factors affecting the organizational intention to use this technology do not focus on extensive research. In order to fully exploit its advantages and therefore to study it, organizations should take it in a full and profound level. This research, based on the TOE, proposes and examines the determinants which influence the adoption of the BDA in the context of companies from Sri Lanka. There is large collection of data from 96 organizations, which helps us to understand the influences on the use of big data.

This research examines the influence of corporate governance on investment decision of 198 non-financial companies listed on the Colombo Stock Exchange of Sri Lanka, over the period from 2009 to 2016. This study used four corporate governance variables such as managerial ownership, board size, board independence, and CEO duality. Moreover, this study considers three control variables such as profitability, firm size, and corporate tax. This study employed the Generalized Method of Moments (GMM) model to estimate the regression models on panel data study. The main contribution of this study is sightseeing the insight of the effect of corporate governance factors on investment decisions. Findings reveal that managerial ownership is positively significantly influence on investment decision. Board size is insignificantly positive on investment decision. The existence of positive effect between board independence and changes in total assets was found in the study and a significant negative influence on Tobin’s Q.CEO duality is significantly and negatively related to changes in total assets and it is significantly and positively connected to Tobin’s Q. Therefore, except for board size, all the other corporate governance factors have influence on the investment decision of a firm.

The research was conducted to examine the performance of Sri Lanka's tourism industry. Secondary data was obtained from the annual reports of the Sri Lanka Tourism Development Authority. The inefficiency in tourist arrival, total annual receipts and per day receipt from a tourist were estimated using Stochastic Frontier Analysis (SFA) between the periods from 1970 to 2019. And the factors influencing on the above tree inefficiencies were estimated combined with Cobb–Douglas frontier function under the assumption of half-normal distribution. The study found that the efficiencies were 86.2 %, 78.4 %, and 89.6 % respectively in tourist arrival, tourist receipts and per day receipts. The productivity of both the number of tourist arrivals and the overall reception of tourists was significantly (p<0.05) increased by the number of indirect jobs involved in tourism activities and the number of beds available for accommodation. Tourist arrival inefficiency could be substantially (p<0.05) improved by embarkation tax. Similarly, the number of international conferences held in BMICH significantly (p<0.05) had a negative impacted on the inefficiency of Sri Lanka's tourist arrival and tourism receipts. The present study revealed that growing investment in conference halls will create an opportunity to start more international conferences and symposiums to increase the efficiency of the tourism industry in Sri Lanka instead of investing more in rooms and direct recruitment to the tourism sector.