A Mediated Impacts Model of Demand Volatility on Inventory Flow Integration in Supply Chains

We develop a theoretical model about how organizations cope with the bullwhip effect created by consumer demand uncertainty through product modularity and information sharing across the supply chain. Unpredictability of consumer demand is likely to accentuate inventory flows in the supply chain. Information sharing and product modularity can be used by organizations to mediate the impact of uncertain product demand on inventory flow integration. An organization’s success in coping with the bullwhip effect is reflected in the degree to which inventory flows are integrated across the supply chain. Our results suggest that (1) information sharing is essential for achieving integration of inventory flows irrespective of the demand environment, and (2) the strategy of modular product design can help organizations enhance inventory flows under conditions of consumer demand uncertainty

Antecedents of Quality Information Sharing in the FMCG Industry

Information sharing in a retail supply chain presents challenges of mapping information flow in terms of collection and transfer capabilities from one point to other internal and external users. Efficient mapping information flow seems to be dependent on information availability, velocity and the level of volatility. This would strengthen partnerships between the upstream and downstream sites of a supply chain in terms of information capturing, transformation and exchange between both internal and external supply chain users. This study examines the relative magnitude of advance economic information sharing in optimizing integrated supply chain activities in the consumer goods industry. It further analyses the challenges of bullwhip effect from the perspective of electronically-enabled supply chain management (eSCM) systems and information sharing in the fast moving consumer goods (FMCG) industry. The study finds that information sharing is related to supply chain performance targets in the FMCG industry in terms of a higher order fulfillment rate and achieving shorter order cycle time through integrated e-SCM systems. The managerial implications of this study are that integrated IT infrastructure capability and top management support (in terms of visible involvement, commitment and participation of executives and the allocation of the necessary resources) are significant antecedents of the quality of shared information

The Role of Business Intelligence adoption as a Mediator of Big Data Analytics in the Management of Outsourced Reverse Supply Chain Operations

The fluctuating and disorganized state of todays global markets is the result of several factors. COVID-19 is an illustration. Supply chain managers should re-evaluate their competitive strategy and leverage big data analytics in light of the rising volatility in demand and supply, rivalry among supply chain partners, and the requirement to deliver tailored goods and services (BDA). Supply chain firms require sophisticated BDA processes and procedures to provide useful insights from big data to better decision-making and supply chain operations, as many leaders in the sector have acknowledged the necessity for improving with data (SCO). This research gives theoretical justification for the influence that BDA has on SCO

Containing Risk when Maximizing Supply-Chain Performance

The objective of this dissertation is to develop and test an approach that will quantify the level of risk in the supply chain, evaluate the cost and impact of risk mitigation strategies, validate event management protocols pre-implementation, and optimize across a portfolio of risk mitigation strategies. The research integrates a Mixed Integer Linear Programming (MILP) model and a Discrete Event Simulation model to investigate a production-inventory-transportation problem subject to risk. The MILP model calculates the optimal Net Profit Contribution of the supply chain in the absence of risk. Deviation risks are introduced as volatility in final demand and lead times, with lead time volatility affecting raw material lead times from suppliers to manufacturing plants and finished goods lead times from manufacturing plants to the warehouses. Disruption risks are modelled as temporarily impeding production at the manufacturing plants, in-bound distribution of raw materials from suppliers to the manufacturing plants, and out-bound distribution of finished goods from the manufacturing plants to warehouses. Computational experiments are run to examine the impact of risk on the supply chain. Further experiments explore the consequences of three risk mitigation strategies (inventory placement, expediting, and production flexibility) on supply chain performance in the presence of risk with the aim of discovering whether one strategy dominates or whether a portfolio approach to risk mitigation performs best. In sum, this research seeks to develop a framework that can inform efforts in understanding, planning for and controlling risk in the supply chain

The Mediating Role of Supply Chain Integration on the Relationship among Learning, Agility and on Firm Performance: Evidence from Indonesia

The investigation aims to identify the association in learning, agility, organization’s performance and supply chain. Data for the research was collected from Indonesia and is comprised of 350 public limited companies registered in Indonesian Stock Exchange (ISE). The results reveal that learning either it is internal or external is influenced significantly by the supply chain integration. Moreover, organizational performance and agility were not influenced by supply chain integration. While internal learning has not influenced agility but influenced firm performance. On the other hand, external learning has influenced organizational performance that is not statistically significant

Internal Performance of an Integrated Supply Chain: Does Flexibility Matter?

The prime objective of the currents study, is to investigate the link between supply chain integration (SCI) and Internal Supply chain performance (ISCP). Apart of investigation the impact on internal performance of integrated supply chain, the current study is also interested in investigating the mediating role of Supply Chain flexibility (SCF) in the relationship between SCI and supply chain internal performance ISCP. The structural equation modeling which a twostep process i.e. inner model assessment and outer model assessment is and is an upgraded version of multiple regression is used to answer the research questions. The current study has used the AMOS to analyze the data collected from production managers of Indonesian manufacturing firms. The findings of the study have revealed the fact that SCI has significant impact on the internal supply chain performance (ISCP). The SCF has significantly mediated the relationship between SCI and ISCP. The study will be helpful for policy makers in researcher in understanding the issues related to supply chain, its integration, flexibility, and internal performance

Strategic value of data analytics in interorganizational relationships

Researchers suggest that data analytics (DA) enhance decisions related to interorganizational relationships (IOR) and lead to reduced risk and improved performance. However, and despite this potential, firms face challenges regarding effective use of their DA capabilities to enhance their IORs. The massive investment in DA, as well as the need for an efficient use of DA in IOR settings, create the potential opportunities for two streams of research: a deeper understanding of business value of DA in IOR; and a systematic examination of DA’s strategy for an enhanced alignment with IORs. Despite the published scholarly works in these two research streams, the complexity, diversity, and newness associated with DA technologies make our understanding of the business value of DA in IOR and DA strategy for IOR incomplete. First, our understanding of why and how DA impact IOR performance is inadequate and fragmented. Second, the focus of the preponderance of published empirical papers in understanding the value of DA is at the operational level, and the strategic implications of DA capabilities in IOR are not addressed. Third, the literature fails to consider the inherent heterogeneity among the user base of DA systems, and consequently, the findings are not generalizable. Finally, the literature fails to address the impact of external factors, such as complexity and volatility on DA strategy. In this dissertation, I attempt to contribute to the literature by focusing on these research gaps and investigating them in three studies. In the first study, a holistic value-view of a firm’s supply chain enabled by DA for improved business performance, is presented based on two complementary views of market-oriented coordination and strategic supplier partnership. The study discusses how DA capabilities impact the constituents of this complementary view of supply chain to amplify business performance. I propose a theoretical model of the effect of DA capabilities on a firm’s co-creation of value, with its partners for business performance. Then, I test the model empirically based on a survey of 198 practitioners. My findings show that DA capabilities improve upstream and downstream integration and leverage the co-creation of value. The second study provides a better understanding of the impact of DA on interorganizational collaborations by answering two fundamental research questions: “How does a firm use its DA capabilities to improve collaboration and enhance performance?” and “What is the impact of DA capabilities on a firm’s collaboration and performance?” To answer these questions and to provide a deeper insight from multiple perspectives, I utilized a mixed method research by conducting a thorough content analysis of 34 published case studies, followed by a confirmatory research based on a survey of 210 practitioners to empirically test the insights generated from my content analysis. My findings identify several paths to improved performance using DA capabilities. My analysis suggests that DA capabilities, used appropriately in an interorganizational collaborative environment, lead to reduced costs and the need for required working capital and ultimately better performance through improved collaborative relationships such as planning and scheduling. In the third study, I expand the results of the two prior studies by analyzing the DA strategic focus. I employ an agent-based simulation to test different DA strategies in various business environments that are identified by levels of complexity and dynamism. My findings indicate that optimum DA strategy has a quadratic relationship with the levels of complexity and dynamism, which explains the prior contradictory findings of the IS literature. These three studies contribute to the business value of IT and IS strategy literatures by investigating the business value of DA in IOR settings, identifying impacts of DA on value co-creation in IORs and determining a suitable DA strategy based on various environmental factors

Assessment Of Disruption Risk In Supply Chain The Case Of Nigeria’s Oil Industry

evaluate disruption risks in the supply chain of petroleum production. This methodology is developed to formalise and facilitate the systematic integration and implementation of various models; such as analytical hierarchy process (AHP) and partial least squares structural equation model (PLS-SEM) and various statistical tests. The methodology is validated with the case of Nigeria’s oil industry. The study revealed the need to provide a responsive approach to managing the influence of geopolitical risk factors affecting supply chain in the petroleum production industry. However, the exploration and production risk, and geopolitical risk were identified as concomitant risk factors that impact performance in Nigeria’s oil industry. The research findings show that behavioural-based mechanisms successfully predict the ability of the petroleum industry to manage supply chain risks. The significant implication for this study is that the current theoretical debate on the supply chain risk management creates the understanding of agency theory as a governing mechanism for supply chain risk in the Nigerian oil industry. The systematic approach results provide an insight and objective information for decisions-making in resolving disruption risk to the petroleum supply chain in Nigeria. Furthermore, this study highlights to stakeholders on how to develop supply chain risk management strategies for mitigating and building resilience in the supply chain in the Nigerian oil industry. The developed systematic method is associated with supply chain risk management and performance measure. The approach facilitates an effective way for the stakeholders to plan according to their risk mitigation strategies. This will consistently help the stakeholders to evaluate supply chain risk and respond to disruptions in supply chain. This capability will allow for efficient management of supply chain and provide the organization with quicker response to customer needs, continuity of supply, lower costs of operations and improve return on investment in the Nigeria oil industry. Therefore, the methodology applied provide a new way for implementing good practice for managing disruption risk in supply chain. Further, the systematic approach provides a simplistic modelling process for disruption risk evaluation for researchers and oil industry professionals. This approach would develop a holistic procedure for monitoring and controlling disruption risk in supply chains practices in Nigeria

Contemporary Research on Management and Business

This book contains 74 selected papers presented at the 5th International Seminar of Contemporary Research on Business and Management (ISCRBM 2021), which was organized by the Alliance of Indonesian Master of Management Program (APMMI) and held in Jakarta, Indonesia on 18 December 2021. This online conference was hosted by the Master of Management Program of Indonesia University. This year, ISCRBM focused on research related to driving sustainable business through innovation. Business has had to deal with the Covid-19 pandemic, so a new approach towards managing business to survive competition is indispensable. Innovation is the key for all organizations in surviving in the new normal and beyond. The Seminar aimed to provide a forum for leading scholars, academics, researchers, and practitioners in the business and management area to reflect on the issues, challenges and opportunities, and to share the latest innovative research and best practices. This seminar brought together participants to exchange ideas on the future development of management disciplines: human resource, marketing, operation, finance, strategic management and entrepreneurship