The Relationship among Overconfidence, Economic Expectation, Social Factors and Investment Decision Making Behavior with the Mediating and Moderating Effects

The current study investigates the relationship among the overconfidence (OVC), economic expectations (EE), social factors (SOF) and investment decision making behavior (IDMB) with the mediating and moderating effect. The data was collected from the investors of Pakistan Stock Exchange (PSX) that were selected through convenience sampling technique. The results of Structural Equation Modeling (SEM) showed that OVC, EE, SOF have a positive and significant relationship with IDMB. On the other hand, OVC, EE, SOF also has a positive and significant relationship with the information search (IS) while IS did not have direct effect on the IDMC. In other words, the IS also did not have mediating effect among the relationship of OVC, EE, SOF and IDMB. The indirect effect further indicated that financial literacy (FL) has a significant moderating effect among the relationship of OVC, EE, SOF and IDMC. Therefore, this moderating effect could be considered a contributions of the study. The research limitations and future directions had also discussed at the end of the study

The Role of Knowledge Adoptive Capacity towards Exports Performance: An Evidence from Textile Sector

Purpose - Knowledge absorptive capacity plays a significant role in export performance. It is a dynamic capability that firms apply to gain competitiveness in today’s knowledge-based economies. The aim of the present research is to identify relationship among dimensions of KAC and export performance. Design/Methodology - Nature of study was descriptive and quantitative. Data was collected through questionnaires from 291 large scale textile firms of Pakistan. Smart PLS was used in analyzing data by incorporating CFA and SEM techniques to test the hypotheses. Findings - The results reveal that knowledge acquisition, transformation, and exploitation have significant positive relationship with export performance

The Role of Artificial and Nonartificial Intelligence in the New Product Success with Moderating Role of New Product Innovation: A Case of Manufacturing Companies in China

Currently, there is an increasing trend in the organizations towards examining the artificial intelligence and nonartificial intelligence for the innovation and success of the new product, as well as getting the intentions of the upcoming researchers. Thus, the purpose of the ongoing study is to examine the role of artificial and nonartificial intelligence in the new product success along with the moderating role of new product innovation in the manufacturing organizations of China. The quantitative methods have been followed by the study and gathered the responses from the respondents using questionnaires, and analysis has been conducted by using the smart-PLS. The results exposed that artificial intelligence and nonartificial intelligence have positive and significant nexus with the new product success. The outcomes also revealed that the new product innovation significantly moderated the links among the nonartificial intelligence and new product success, but it insignificantly moderated the links among the artificial intelligence and new product success in the manufacturing organizations of China. These findings have provided the guidelines to the manufacturing companies and their policies developing authorities that they should be developed and implement the suitable policies regarding the adoption of artificial intelligence and nonartificial intelligence that enhance the success of the new product, which ultimately enhances the success of the organization

Role of Innovations to Mitigate CO₂e: Theory and Evidence for European Economies

Even though numerous researchers have analyzed the factors of carbon emissions, technological innovation’s linear and non-linear effects on carbon emissions have not been thoroughly examined in the energy–environment literature with the Environmental Kuznets Curve framework for European economies. For this purpose, this study has employed linear and non-linear autoregressive distributed lagged models, the novel bounds testing methodologies of dynamic simulations. Renewable energy and resident and non-resident patents are the indicators of technological innovations. The findings of this study demonstrate a significant negative association of renewable energy use and technological innovation with carbon emissions, while economic growth, non-renewable energy, and urbanization have depicted a positive relationship. These findings confirm the validity of the Environmental Kuznets hypothesis for the sampled countries. It is suggested that research and development facilities are required to mitigate environmental pollution by using innovation and discouraging more use of coal in electricity generation. This study also provides policymakers with particular statistics on sector-based renewable energy initiatives, highlighting the greenhouse gas impacts in European countries