This study examined how four key determinants like price consciousness, food variety-seeking, physical environment and perceived hygiene quality, influence dining out intention, among Malaysian consumers, in the post-pandemic context. Using a quantitative approach, data were collected from 548 valid responses, through structured online questionnaires and analysed by using partial least squares structural equation modelling (PLS-SEM). The findings revealed that all four predictors significantly and positively influenced dining out intention, with physical environment emerging as the strongest predictor, followed by price consciousness, food variety-seeking, and perceived hygiene quality. These results would contribute to consumer behaviour literature, by establishing a comprehensive framework, integrating economic, psychological, and environmental factors, within an emerging market context. The study could provide actionable insights for foodservice businesses, to enhance dining experiences, through strategic investments in ambience, dynamic pricing strategies, menu diversification and visible hygiene protocols. Policymakers could utilise these findings, to develop regulatory frameworks, supporting Malaysia’s foodservice sector growth.

The unemployment rate in Canada has been increasing from 2019 to 2023 and this high volatility of Canada’s unemployment rate has drawn researchers’ attention in recent times. Quarterly data from OECD Data, World Bank, IMF Data and DataStream, were collected from 1993 to 2023, to examine the factors affecting unemployment rate in Canada, using the Unit Root Test and the Autoregressive Distributed Lag (ARDL) approach. ARDL was used to study the long run effect between unemployment rate and related factors. This approach can be used only when Unit Root Test had been applied. The results of the study revealed that only Gross Domestic Product (GDP) reported a short run causality with the unemployment rate in Canada while other independent variables did not. The study indicated no long run causality relationship between all independent variables, namely population, GDP, inflation, foreign direct investment and average wages, as the F-statistics was below the threshold value. This study added a new independent variable, that is average wages, in the study of unemployment rate in Canada. This study covered the period from 1993 until 2023.

This research proposes to explain applied approaches existing techniques and challenges as well as proposed future agenda for development in banking performance, with respect to environmental disclosures. This study examined the connection between the performance of Saudi Arabia’s publicly traded commercial banks and the disclosure of environmental assessments. The methodology of this research consisted of a semi quantitative analysis. The content analysis was used to collect information from annual reports of 10 listed commercial banks of Saudi Arabia, on Tadawul stock exchange, from 2013 to 2021. The developed index was regressed with banking performance, to check the impact of environmental disclosures on banking performance, by using Generalized Least Squares (GLS), with random-eûect (RE) and ûxed-eûect (FE) estimators. Further, disclosure of environmental information increased dramatically from 39.23% to 71.29% between 2013 and 2021. The government and policymakers monitored environmental contribution and disclosure by the banking sector, for sustainable environment and banking performance.

This paper conducted a critical analysis and review of literature, spanning from 2019 to 2023, on how recommendation algorithms affected consumer behavior in e-commerce. The study explored the role of AI-driven recommendation algorithms in influencing consumer behavior and examined the impacts of various recommendations on e-commerce dynamics. By screening relevant articles from the Web of Science Core Collection database, with predefined keywords, the study applied visualization techniques, using the Bibliometrix and Biblioshiny tools within R Studio. The research investigated the different recommendation algorithms, documented in prior studies and their effects on consumer behavior in e-commerce. Our analysis uncovered significant insights into how these AI-driven recommendations shape consumer behavior, highlighting its influence on purchase decisions and product engagement. This study provides actionable insights for e-commerce businesses, to leverage recommendation algorithms, to boost consumer engagement and enhance sales effectiveness. By understanding the impacts of diverse recommendations, businesses can tailor their recommendation strategies to better align with consumer preferences. This paper could contribute to broader understanding of the role of artificial intelligence in consumer decision-making processes and offer valuable perspectives for future research in this field.

The study examined the major driving forces, that affect the operational efficiency of the Indian pharmaceutical industry, with special reference to the SME pharmaceutical companies in India. Porter’s Five Force Model was used as a frame of reference, to gauge the effect of various environmental and regulatory forces, that affect the working of Indian SME pharmaceutical industry, using regression analysis, as the main tool. The reliability and the regression equation, derived from the Regression Analysis, showed that competitive rivalry, among existing firms, was the strongest force, followed by bargaining power of buyers, threat of new entrants, bargaining power of suppliers and the threat of substitute products, in that order. This study applied the Porter Model on Indian pharma industry, with special reference to the SME units. The industry would find this research to be of practical value, especially for SME industries, for devising their strategies for the growth and competition assessment.

The purpose of this paper was to analyze the impact of the use of information technology (IT) on a firm's logistics integration (LI), through a survey conducted in Malaysia. The research methodology was based on designing and administering a survey instrument. Descriptive statistic and paired sample t-test were used to analyze the data. The findings revealed that the effect of IT on LI was positively significant. Further, since all the respondents belonged to manufacturing firms, the findings of this paper could be relevant to the manufacturing sector. Additionally, although a logistics-related factor is necessary for a firm's performance, it is not sufficient unless the factor interaction is taken into consideration, as evidenced by the significant positive relationship between IT and LI.

Customers perception about a brand's trademark illustrates their loyalty towards the brand. Previous research of brand loyalty was mainly focused on products and these studies were performed in developed countries. Extending past research to the least developed country (Iran) and in a service sector, the current paper argues that brand awareness, perception about the quality of service, and brand communication, can positively increase brand loyalty. Further, it shows that brand communication and perceived quality can mediate the relationship between brand awareness and brand loyalty.

This paper proposes to analyse the existing differences in women's and men's style of entrepreneurship. The examined the levels of women's and men's participation in entrepreneurial activity in modern national economies. The study dealt with the problem of determining the indicator values, characterizing the early stage of entrepreneurship, mature entrepreneurship as well as quitting business activities. The results of the survey, conducted in 59 countries, through the Global Entrepreneurship Monitor Project, were used as initial information. In the course of the research, nine indicators, characterizing such stages as start-up and mature entrepreneurship, were examined, along with the cessation of this activity. The results indicated that there was gender gap between the indicators of entrepreneurship in majority of countries, implying that women participated in it to a lesser extent than men.

This study aims to investigate, factors affecting the management decisions of manufacturing companies, in Ethiopia. The study examined the effects of the accounting information system, managers’ level of education, managers’ experience, organizational size, environmental factors, corporate culture, pressure and stress, and risk management decisions. The study is descriptive and explorative. It included a sample of 140 manufacturing companies, engaged in wood and pulps production, non-metallic and chemicals, and its product in Ethiopia, and a questionnaire was distributed to them. The study revealed significant and positive relationship between accounting information systems, management experience, the management level of education, environmental factor, organizational culture, pressure and stress, risk and management decisions. Further, the risk factor showed a positive and insignificant effect on management decisions. The results also found that there was negative and insignificant degree of relationship between management decisions and organizational size.

Oil prices had experienced sharp fluctuations during the last decades. A vast literature has been devoted to analyzing the macroeconomic effects of oil prices. This paper aims to contribute to this research field, by examining the impact of oil prices on economic growth in Algeria, for the period 1976–2019. The novelty of the study is that it employs the combined cointegration technique, to test the presence of long-run relationship between oil prices and economic growth. The empirical analysis revealed that there was long-run cointegrating relationship between the two variables. Moreover, the different estimators indicated that oil prices positively impacted the economic growth in the long-run while the error correction model supports the presence of negative and limited short-run effects, that disappeared after about one year and a half from the occurrence of the oil shock.