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1 – 3 of 3Arsalan Safari, Vanesa Balicevac Al Ismail, Mahour Parast, Ismail Gölgeci and Shaligram Pokharel
This systematic literature review analyzes the academic literature to understand SC risk and resilience across different organizational sizes and industries. The academic…
Abstract
Purpose
This systematic literature review analyzes the academic literature to understand SC risk and resilience across different organizational sizes and industries. The academic literature has well discussed the causes of supply chain (SC) risk events, the impact of SC disruptions, and associated plans for SC resilience. However, the literature remains fragmented on the role of two fundamental elements in achieving SC resilience: the firm's size and the firm's industry as firms' contingent factors. Therefore, it is important to investigate and highlight SC resilience differences by size and industry type to establish more resilient firms.
Design/methodology/approach
Building upon the contingent resource-based view of the firm, the authors posit that organizational factors such as size and industry sector have important roles in developing organizational resilience capabilities. This systematic literature review and analysis is based on the structural and systematic analysis of high-ranked peer-reviewed journal papers from January 2000 to June 2021 collected through three global scientific databases (i.e. ProQuest, ScienceDirect, and Google Scholar) using relevant keywords.
Findings
This systematic literature review of 230 high-quality articles shows that SC risk events can be categorized into demand, supply, organizational, operational, environmental, and network/control risk events. This study suggests that the SC resilience plans developed by startups, small and mdium-sized enterprises (SMEs), and large organizations are not necessarily the same as those of large enterprises. While collaboration and networking and risk management are the most crucial resilience capabilities for all firms, applying lean and quality management principles and utilizing information technology are more crucial for SMEs. For large firms, knowledge management and contingency planning are more important.
Originality/value
This study provides a comprehensive review of the literature on SC resilience plans across different organizational sizes and industries, offering new insights into the nature and dynamics of startups', SMEs', and large enterprises' SC resilience in different industries. The study highlights the need for further investigation of SC risk and resilience for startups, SMEs, and different industries on a more detailed level using empirical data. This study’s findings have important implications for researchers and practitioners and guide the development of effective SC resilience strategies for different types of firms.
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Osama Sam Al-Kwifi, Ilijana Petrovska, Mahour Parast and Arsalan Safari
This study aims to investigate the effects of individual entrepreneurial orientation (IEO), entrepreneurial self-efficacy (ESE) and entrepreneurial managerial skills (EMS) on…
Abstract
Purpose
This study aims to investigate the effects of individual entrepreneurial orientation (IEO), entrepreneurial self-efficacy (ESE) and entrepreneurial managerial skills (EMS) on project performance at both the individual and team levels using a holistic framework.
Design/methodology/approach
Data were collected from 308 university students involved in two different types of projects (entrepreneurship and nonentrepreneurship) in Qatar.
Findings
The confirmatory factor analysis and structural equation modeling showed that both IEO and EMS positively and almost equally influenced project performance. However, ESE’s impact on project performance was significantly mediated by both IEO and EMS and, in practice, it should be considered a motivational factor for increasing the impact of IEO and EMS on project performance.
Practical implications
Project managers should recognize the value of the management and leadership skills examined in this study and their implications for project outcomes.
Originality/value
This study provides novel insights into the role these factors play in effective project management, thus allowing organizations to make effective decisions to reinforce these factors and gain a competitive advantage.
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Ramin Rostamkhani and Thurasamy Ramayah
This chapter of the book seeks to use famous mathematical functions (statistical distribution functions) in evaluating and analyzing supply chain network data related to supply…
Abstract
This chapter of the book seeks to use famous mathematical functions (statistical distribution functions) in evaluating and analyzing supply chain network data related to supply chain management (SCM) elements in organizations. In other words, the main purpose of this chapter is to find the best-fitted statistical distribution functions for SCM data. Explaining how to best fit the statistical distribution function along with the explanation of all possible aspects of a function for selected components of SCM from this chapter will make a significant attraction for production and services experts who will lead their organization to the path of competitive excellence. The main core of the chapter is the reliability values related to the reliability function calculated by the relevant chart and extracting other information based on other aspects of statistical distribution functions such as probability density, cumulative distribution, and failure function. This chapter of the book will turn readers into professional users of statistical distribution functions in mathematics for analyzing supply chain element data.
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