Purpose: Adoption of latest technological advancements (e.g. lecture capture system) is a hallmark of market-driven private universities. Among many other distinguishing features, lecture capture system (LCS) is the one which is being offered to enhance the flexibility of learning environment for attracting executive business students. Majority of foreign universities are offering the facility of LCS to their students in offshore campuses established in Malaysia. Yet, very little is known about perception and behaviour of executive business students towards acceptance and use of this facility. Therefore, to bridge the identified gap in academic literature, this study is an effort to explore the causal relationship between existing constructs of extended unified theory of acceptance and use of technology (UTAUT2), personal innovativeness (PI), intention and use behaviour (UB) towards LCS. Moreover, this study is aimed to extend the UTAUT2 by introducing a new variable, namely, PI in the domain of information technology (IT) (PIIT). Design/methodology/approach: SmartPLS-3.2.6 was used for data analysis and all PLS-related calculations. For this purpose, a self-administered questionnaire was designed to collect data regarding acceptance and UB towards LCS. A sample size of 481 responses from executive business students, who were enrolled in offshore campuses of five selected foreign universities in Malaysia, was used for testing the proposed theoretical model. Findings: The results of structural equation modelling (SEM) revealed that, performance expectancy, effort expectancy, social influence, facilitating conditions, price value, hedonic motivation, habit and PIIT have a significant and positive influence on acceptance and use of LCS among executive business students. Unique to this study is that, findings of this study have highlighted PIIT as an important factor that affects intention and UB towards LCS among executive business students. Practical implications: By validating and extending the UTAUT2, the findings of this study provide a number of practical implications along with a comprehensive, robust and useful framework for universities to successfully implement technological advancements, such as LCS, to enhance overall learning outcomes. Originality/value: By investigating the factors determining acceptance and use of LCS among executive business students, using a partial least square (PLS)-based SEM approach, this study makes a sizeable theoretical, methodological and contextual contribution to the overall body of knowledge.

The aim of our research is to consider the potential for women’s empowerment through tourism and women’s equality inherent in the green economy. In addition, our research should shed more light on the women’s dimensions of green growth, especially in the context of development of entrepreneurship in tourism. In line with this, our approach in the study combines a women’s perspective with green growth and entrepreneurship development in the tourism sector in Serbia. The research was carried out in the most important tourist centers in the country, such as Novi Sad, Nis, Zlatibor, Vrnjačka Banja, and Sokobanja. This study showed that insufficient attention has been dedicated to this industry from the perspective of its benefits for women. In addition, the research indicated that, in the field of tourism, women mostly prefer special programs of education that are adjusted to the job requirements that they have already been performing or to a similar job that they are just about to start. It is necessary to involve them more often in various projects that encourage their further empowerment. The research also discovered gaps in the supply of finance between the needs of green entrepreneurs in tourism and what the financial system is willing to provide to them. Firstly, there is a lack of appropriate lending products offered by the commercial banking sector. In particular, a combination of financial support and suitable financial tools to encourage women’s initiatives for start-ups in tourism is missing.

This study investigated the factor which influences rural women’s income after participation in small-scale agricultural farming, their contribution to the household, as well as their empowerment status. This research was conducted in Jinaigati upazila of Sherpur district in Bangladesh. A total of 80 respondents (women) from this upazilla of Sherpur were selected purposively using simple random sampling. The quantitative data were collected by in depth interviewing of the 80 respondents through personal interview. The quantitative analytical tools used to attain specific objectives included various descriptive statistics, functional analysis, multiple regression co-efficient, used to identify the factors of influencing women’s income through small-scale agricultural farming. Problem Confrontation Index (PCI) used through different problems identified scores. In accordance with the results of the educational level of woman, other sources of income, experience and training, access to credit, decision-making ability have an positive impact on rural women’s income. These variables were statistically significant. From the Problem Confrontation Index, it was found that lack of capital was the first ranked problem, need-based training the second ranked problem, high interest rate the third ranked problem, insufficient farm size the fourth ranked problem, and lack of quality of seed the fifth ranked problem. Their income from this brought remarkable positive change in their life and they had better control over their decisions and income. Finally, their active economical participation in small-scale farming assists them to overcome prejudice, socio-economic barriers, and highest empowerment attainment in the context of Bangladesh—and, if the government takes proper initiative in terms of gender policy, then rural women’s income and livelihood status will be increased remarkably.

This study presents a novel account of artificial intelligence driven digital transformation (AIDT) in the proposed relationship between artificial intelligence readiness (AIR) and business process efficiency (BPE). Data gathered from 227 firms was analyzed with PLS-SEM approach for testing the proposed AIDT model. Results confirmed that the link between AIR and BPE is positive and significant. Furthermore, it is confirmed that AIDT significantly mediates the positive relationship between AIR and BPE. Further, discussion on tangible and intangible aspects of AIR offers deep AI related theoretical insights into the AIDT related concept of organizational resource-based view. Policymakers and AI practitioners can use the AIDT model as a driver for enhancing BPE.

This paper is a result of its author's work, whose goal was to examine the role of globalization in the change of organization models and intensification of its competitiveness, following trade liberalization. In addition, the goal was to define competitive advantages, which the companies have to develop in order to survive in a highly competitive global market. The study has shown that market expansion does not mean that only big business subjects will be able to make a profit. Also, the analysis has shown that there is no correlation between a big market and success of big businesses. In other words, globalization rewards the companies which are innovative and competitive, regardless of the company's size and country of origin.

In Bangladesh, attention to women empowerment through agricultural technology adoption is not new, but it has not always been acted upon accordingly. This study attempts to carry out an investigation through using both quantitative and qualitative research tools to examine the extent of women's technology adoption in agriculture and their consequent empowerment attainment in selected villages of Mymensingh sadar. To achieve the objectives of the present study, necessary data were collected by using simple random sampling technique, the study selected total of 60 women respondents. The quantitative analytical tools employed to attain the specific objectives included various descriptive statistical measures, perception index and women empowerment index by adoption technology. The results of perception index analysis indicated that majority had moderate to high favorable perception on greater extent of women's engagement in adoption agricultural technology among which may had low to moderate favorable perception on consequent empowerment attainment. The findings show that almost in all cases, decision was taken jointly by male and female. It is very satisfactory case that decision is taken by female alone particularly in the cases purchase of agricultural equipment, maintenance of agricultural equipment, motivating to use agricultural technologies, selling of old machineries. The value of average women empowerment score is 1.81, which is below from the average empowerment score 2.