This paper presents an empirical investigation to determine important factors influencing on getting competitive advantage on two construction firms, namely Keyson and Sazeh consultants in Iran. In this study, four variables of internal resources, personal characteristics of decision makers, demand conditions and market strategies/services are investigated. The study prepares a questionnaire consists of 19 questions in Likert scale and distributes it among 145 regular employees who work for these two firms. Cronbach alpha was calculated as 0.93, which was well above the minimum acceptable limit. The results of the survey have confirmed that while four issues influence on the success of the firms on getting competitive advantage, there were some meaningful difference between the effects of the factors.

This paper investigates the role of export competitive advantage on export performance in food industry. The proposed study designs a questionnaire in Likert scale and distributes it among 280 randomly selected experts in food industry and Cronbach alpha has been calculated as 0.827. The study has applied factor analysis to find important factors influencing export performance. Kaiser-Meyer-Olkin Measure of Sampling Adequacy and Bartlett & apos; s Test of Sphericity have been performed to validate the results and they both validated the questionnaire. The results of the survey have determined six effective groups including product development, e-commerce, marketing planning, organizational performance, competitiveness and supply chain management.

This paper discusses the relationships between Critical Success Factors (CSF) of knowledge Management (KM) with Competitive Advantage (CA) in automotive industry (Saipa corporate in IRAN). In this research, four categories were used including Human-Oriented factors, Organization, Technology and Management process and their relevant component as independent variables. The research method is based on a descriptive-survey research. The questionnaire includes all CEO and board of director of all firms who worked for Saipa Co, covering 88 companies with 160 managers. To test the hypotheses, SPSS and LISREL software packages were used. For data analysis, descriptive statistics and inferential statistical tests (structural equation modeling, Pearson correlation coefficient) were used. Results taken from structural equation modeling (SEM) proposed measurement model fit and construct validity. Pearson correlation shows there was meaningful relationship between four categories of CSF of KM and CA when the level of significance was 0.001.

The purpose of the study is to examine the effects of supplier relationship management practices on organizational performance and competitive advantage of large manufacturing companies in Bahir Dar, Ethiopia. The study employed an explanatory research design. A standardized five-point Likert scale questionnaire was administered to manufacturing companies' executives, top managers, and procurement managers. Structural equation modeling with the help of analysis of moment structure 23 is used to analyze the relationship between variables. The result reveals that supplier relationship management practices lead to enhancing organizational performance and competitive advantage. Also, competitive advantage significantly affects the performance of manufacturing companies. The study is limited by the effects of supplier relationship management practices on organization performance and competitive advantage over a quantitative research approach. Further, it only focused on large manufacturing companies in Bahir Dar, Ethiopia. The study contributes evidence on the effects of supplier relationship management practices on organization performance and competitive advantage. Moreover, it helps the supply chain managers in large manufacturing companies to have a deeper understanding of supplier relationship management and its importance to organizational performance and competitive advantage.

As in today's era firms are looking to sustain while facing multiple challenges. Ultimately talented employees are the backbone of any firm that provides a sustainable competitive position at a global level. The major aspect is to make appropriate strategies to stay effective and efficient. Firms are focused on their strategies of recruitment and selection, training, and leadership capabilities to build up. A sample is collected from top-level management of the pharmaceutical sector sample data is of 320 Professionals from the different pharmaceutical sector of Karachi Pakistan. For Data collection Survey method is adopted with a close-ended Questionnaire. The study reveals the impact of artificial intelligence on competitive advantage. This research finds out certain strategies to be aligned with the mediation of Artificial intelligence to gain sustainable competitive advantage and serial mediation of the talent management process among the pharmaceutical sector of Karachi Pakistan. Talent management and Artificial Intelligence serial mediation aligned with HR practices to gain competitive advantage. As the study indicates that recruitment and selection are positively aligned with Artificial intelligence and serial mediation of talent management, further aspects of talent development and talent retention are directly linked with a competitive advantage as suitable components. This research merely focused on the pharmaceutical sector of Karachi Pakistan and the results generalized on the professionals of this particular sector, while new aspects of HR practices could be linked up with Artificial intelligence that will help to boost and find better insight into other industries.

This paper introduces a tool named EB-QFD used for electronic business planning in strategic issues. Nowadays, the challenges of manufacturing sectors for achieving global competition will depend on their speed to change from domestic to world class manufacturing organizations, also the rapid global deployment of electronic business, information technology and their benefits have required managers to make decision, which look for a balance world class manufacturing factors with strategic business goals. To ensure that selected e-business strategies meet world class manufacturing requirements, organizations should simultaneously explore and communicate the relationship between world class manufacturing and electronic business. Electronic business planners can achieve competitive advantages through the implementation of an integration of quality function deployment (QFD) with electronic business (EB) called EB-QFD. This study is based on data collected from an Iranian auto parts manufacturing company and the implementation of EB-QFD. In this research, EB-QFD contains two parts named EB-WHATs as needs of Electronic Business and EB-HOWs as resources for EB-WHATs. Statistical analysis points that there are positive relationships between using EB-WHATs and EB-HOW and world class manufacturing factors as competitive advantages. We used electronic business systems for EB-WHATs and resource based view (RBV) for EB-HOWs.