This study aims to investigate the key drivers of supply chain complexity in the footwear industry business sector. After conducting extensive literature review and consultation with experts, complexity drivers in the context of the footwear business sector were identified. The content validity of the identified drivers was checked by 13 experts using content validity ratio (CVR), which were used as the basis to select 20 key Supply Chain complexity drivers. Using a multi-criteria decision-making DEMATEL approach the cause and effect drivers were investigated. The findings of the study investigated 12 cause and 8 effect drivers in the footwear sector. Among the cause drivers, four linkage drivers that have strong driving power and dependency were identified. This study is the first in the developing county footwear business sector using DEMATEL approach to identify the key supply chain complexity drivers and their interrelationship. The study identified complexity drivers in the context of the footwear business sector that were not explored before in the existing studies. The outcome of this study will help SC complexity decision-makers in that case sector to control and manage the cause and effect drivers and thus improve the efficiency and effectiveness of their SC performance.

Global competition in the marketing has led organizations to be more responsive and efficient to the customers’ needs through quick-new product development and minimized delivery time. Customer satisfaction becomes the major issue for organizations; therefore organizations focus more and more on the collaborative supply chain. Thus, supply chain collaboration has become a major success factor for the organizations to achieve their corporate goals. The current research study is an attempt to address the supply chain collaboration through a systematic literature review. In findings, various specific areas have been examined to understand the necessity, evolution, issues and challenges, types, drivers, benefits, and barriers in the context of supply chain collaboration. Further, the research gap and future agenda have been derived which is very helpful for academics and practitioners to understand supply chain collaboration, gaps in the literature, and future agenda about the supply chain collaboration.

The purpose of this research is to look into the drivers that influence whether or not users will use e-training. The research identified six elements that influence e-training intention to use: perceived ease of use (PEU), computer and internet self-efficacy (CIS), perceived usefulness (PUS), interaction (INT), technical support (TEC), and management support (MGS). Data were collected using a questionnaire distributed to a sample consisting of employees in private universities to test six hypotheses related to these factors. The results showed that four of these factors, i.e., perceived ease of use (PEU), computer and internet self-efficacy (CIS), perceived usefulness (PUS), and technical support (TEC) are key drivers of e-training intention to use. Results are discussed and conclusion is reported.