Purpose: Several strategies and processes can help companies to enhance the success rate of new products. This study aims to identify a few strategies for that purpose represented by total quality management (TQM) practices, building knowledge and capabilities. Moreover, the current paper discusses the role of applying TQM practices and customer knowledge management in developing the marketing capabilities of the organizations. Design/methodology/approach: This study is a quantitative approach where the data collected from 141 manufacturing small and medium enterprises operating in Malaysia and partial least squares technique was used to test the hypotheses. Findings: The findings of this study highly support all the proposed hypotheses and establish marketing capabilities as a facilitator in the relationship between TQM practices, customer knowledge management and product innovation performance. However, customer knowledge management and TQM were found not to have an impact on product innovation performance. Originality/value: The introduced model contributes to enhancing the understanding of the impact of customer knowledge on the success of product innovation performance. The model further includes TQM as a process that helps the organization get customer satisfaction information. The incorporation of these two processes will support the organization’s capabilities in the innovation field.

This paper analyzes the organizational capabilities associated with new product development of SMEs in manufacturing companies with indicators such as administrative capabilities, functional capabilities (R&D, manufacturing, and marketing), and innovative performance (new product development) in Malaysia. This study develops an extended structural model linking administrative and functional capabilities to new product development. To empirically analyze these relationships, the researchers used a questionnaire-based survey to collect data from the managers of small manufacturing firms operating in Malaysia. A total of 159 usable questionnaires were received via an online survey of SME managers in Malaysia. The questionnaire was subjected to a PLS structural equation modeling analysis to establish quantitative relationships among constructs. This empirical study confirmed four out of the five hypotheses as statistically significant. SMEs will sustain their competitive advantage by integrating and effectively utilizing their capabilities in administration, manufacturing, and marketing resources. The positive but insignificant effect of the relationship between R&D and new product development can be attributed to the small sample size in this study. However, functional capabilities through the combined mean values of R&D, manufacturing, and marketing capabilities positively and significantly affect SMEs’ new product development. The research framework offers a practical guide for SMEs to sustain their competitive advantage by integrating and effectively utilizing their administration, manufacturing, and marketing resource capabilities.

Purpose: The objective of the study is to identify the moderating role of artificial intelligence between leadership skills and business continuity. Theoretical framework: For the said purpose the underpinning support of the concept combination theory has been used to develop the framework of the study and artificial intelligence as a moderator is the main theoretical contribution of the study. The reliability and validity of the instrument was analyzed followed by Partial Least Square Structural Equation Modelling to test the framework of the study. Design/methodology/approach: For the said purpose the data from 384 respondents was collected through simple random sampling. The questionnaires were adopted based on prior studies and was analyzed using 7-point Likert Scale representing 1 as strongly disagree and 7 as strongly Agree. The data was collected during 2021. Findings: The findings revealed that Artificial Intelligence and Leadership Skills both have a significant impact over Business Continuity. Moreover, the findings confirmed the moderating role of artificial intelligence over the relationship between leadership skills and business continuity. Research, Practical & Social implications: The study enriched the concept combination theory by confirming the moderating role of artificial intelligence. The findings are significant for the leaders and the organizations that in the current era artificial intelligence is the need of the time and organizations can maintain their sustainability with the help of artificial intelligence. Originality/value: The study opened the horizons for new research by confirming the need for other factors that may compliment the leadership skills for the growth and continuity of the businesses.

The purpose of this study is to concurrently test the effect of green market orientation and green supply chain management on establishing green knowledge management among Malaysian manufacturing companies. To empirically test the model, the authors developed quantitative research by collecting data from 115 manufacturing organisations operating in Malaysia. Partial least squares structural equation modelling was used to analyse the data. The results of the study reveal that green market orientation has a significant and direct positive effect on green knowledge management. Equally, green supply chain management has a direct positive and significant effect on green knowledge management. The findings of this study provide insights for practitioners, academia, and policymakers on how to use the selected variables to improve the sustainability performance of organisations.

Purpose: E-learning system has been widely acknowledged to have positive impacts on the learning process. Nevertheless, the intention to use it is globally low, thereby constituting puzzles to be solved. This study aims to proffer some insights to solve the puzzles.Design/methodology/approach: The data of the study were collected through an online survey among 425 students of four private universities using interactive electronic board systems. Partial least squares structural equation modeling was used to analyze the data.Findings: The significant results of the study reveal that system quality, information quality and teaching materials significantly influenced perceived usefulness. Technology innovativeness and information quality also significantly influenced perceived ease of use. Perceived usefulness and perceived ease of use equally influenced e-learning intention.Originality/value: This research is one of the few studies that conceptualize a framework to study intention to use e-learning generally, and interactive electronic board in particular among four private universities using technology innovativeness, system quality, information quality, perceived usefulness, perceived ease of use and teaching materials.