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The purpose of this paper is to investigate the impact of wholesale price discrimination by a manufacturer in a retailer–e-tailer dual-channel supply chain for different product categories based on their online channel preference.

This paper considers a dual-channel supply chain comprising of a retailer and an e-tailer engaged in competition. Game-theoretic models are developed to model the competition between the retailer and e-tailer and to derive their optimal price, optimal order quantity and optimal profit under (1) equal wholesale price strategy and (2) discriminatory wholesale price strategy. Further, a numerical example was employed to quantify the results and to capture the variation with respect to online channel preference of the product.

It is beneficial for the manufacturer to adopt a discriminatory wholesale price strategy for products having both high online channel preference and low online channel preference. However, equal wholesale price strategy is beneficial for the e-tailer and the retailer in the case of products having high online channel preference and in the case of products having low online channel preference, respectively.

The study helps the manufacturers to maximize their profit by adopting the right wholesale price strategy considering the online channel preference of the product when the manufacturers are supplying to heterogeneous retailers.

There is scant literature on the wholesale price strategy of the manufacturer considering the heterogeneous downstream retailers. This paper contributes the literature by bridging this gap. In addition, the study establishes a link between the wholesale price strategy and online channel preference of the product.

The purpose of this paper is to investigate the impact of price adjustment speed on the stability of Bertrand–Nash equilibrium in the context of a dual-channel supply chain competition.

The paper considers a dual-channel supply chain comprising a manufacturer, a traditional retailer and an online retailer. A two-dimensional discrete dynamical system is used to examine the Bertrand competition between the retailers. The retailers are assumed to follow bounded rational expectations. Local stability of Bertrand–Nash equilibrium is investigated with respect to the price adjustment speed.

As the price adjustment speed increases, the stability of Bertrand–Nash equilibrium is lost, leading to complex chaotic dynamics. The results showed that chaotic dynamics deteriorates the profit of the retailers. The authors also found that the chaos can be controlled using an adaptive adjustment mechanism and the retailers enjoy higher profit when the chaos is controlled.

This study helps retail managers to choose an appropriate price adjustment speed to maximize profit.

The heterogeneity of the retailers is not considered in the studies involving dynamics of retailer competition. This paper contributes to the literature by considering the operational difference between a traditional retailer and an online retailer, i.e. price adjustment speed. In addition, the study establishes a link between price adjustment speed and profit.

Managerial decision-making is an area of interest to both academia and practitioners. Researchers found that managers often fail to manage complex decision-making tasks and system thinkers assert that generic structures known as systems archetypes help them to a great deal in handling such situations. In this paper, it is demonstrated that decision makers resort to lowering of goal (quick-fix) in order to resolve the gap between the goal and current reality in the “drifting the goals” systems archetype.

A real-life case study is taken up to highlight the pitfalls of “drifting the goals” systems archetype for a decision situation in the Indian two-wheeler industry. System dynamics modeling is made use of to obtain the results.

The decision makers fail to realize the pitfall of lowering the goal to resolve the gap between the goal and current reality. It is seen that, irrespective of current less-than-desirable performance, managers adopting corrective actions other than lowering of goals perform better in the long run. Further, it is demonstrated that extending the boundary and experimentation results in designing a better service system and setting benchmarks.

The best possible way to avoid the pitfall is to hold the vision and not lower the long term goal. The managers must be aware of the pitfalls beforehand.

Systems thinking is important in complex decision-making tasks. Managers need to embrace long-term perspective in decision-making. This paper demonstrates the value of systems thinking in terms of a case study on the “drifting the goals” systems archetype.

A vast proportion of global megaprojects have not performed up to the expectations of their stakeholders. A failed megaproject has the potential even to derail the economy of a country where it was implemented. Stakeholders must, therefore, ensure that they do not invest in megaprojects that are bound to fail. But, how can stakeholders consistently identify such megaprojects? This paper develops a framework for a metric that can help stakeholders measure the readiness of a megaproject.

A comprehensive literature review identified 19 critical success factors of megaprojects. These success factors were integrated into a fuzzy-based model to develop the megaproject readiness metric. An assessment team studied the levels of presence and importance of these success factors in a candidate megaproject to derive its readiness.

The readiness-based model provides stakeholders valuable insights into the strong and weak areas of a megaproject. It can help stakeholders prioritize and systematically eliminate the identified weaknesses and improve megaproject readiness. While the model was tested on a metro rail megaproject, it can be used on any megaproject across domains.

This paper adopts the concept of readiness for the domain of megaprojects. Besides the readiness measurement framework, a vital contribution of this research is its application to a real-life case. Future research can include more granular success factors to improve the estimate of megaproject readiness.

In recent years, due to intense competition, small and medium-sized enterprises (SMEs) are unable to meet performance expectations and find difficulty in fulfilling the needs of the original equipment manufacturers (OEMs). Consequently, the growth of the SMEs has slowed down considerably. Constrained by their infrastructural resources, SMEs’ participation in global value chains (GVCs) has the potential to bring significant benefits, such as enhancing technological learning and innovation and generating positive contributions to the development of the SMEs. The purpose of this paper is to explore competitive priorities, key factors, and causal relationships influencing SMEs to enter GVCs.

In this paper, the GVC framework is adopted and qualitative feedback loop analysis is used to identify the key factors influencing the competitive factors. A questionnaire survey was carried out with the automotive component manufacturers of a transnational corporation in India.

The survey in the automotive component manufacturing industry reveals product quality standards as the most important priority for joining global production networks, followed by price competitiveness, timely delivery, innovativeness, manufacturing flexibility, service, and dependability. The qualitative findings reveal continuous personnel training, capacity expansion, research development, and others as key factors influencing competitiveness.

To retain SMEs’ role in economic development and to accelerate the growth of global production networks in India, thereby realizing opportunities from the emerging GVCs, support is needed for SMEs regarding the aspects identified in this study.

The study explores the dynamics of each competitive priority of SMEs in Indian automotive component manufacturing industry to enter the GVCs. No study has explored the dynamics of SMEs competitiveness to enter GVCs in the automotive manufacturing industry.

The paper aims to study manpower dynamics at offshore and onsite location for maintenance project, which are transferred to offshore location in a phase-wise manner. The purpose of the paper is to find good values of onsite–offshore team strength, the number of hours of communication between onsite and offshore teams for smooth transfer of software maintenance project to offshore location.

This study uses system dynamics simulation approach to study manpower allocation at onsite and offshore locations to transfer the maintenance work to offshore location in a gradual manner. The authors consulted 13 experts from Indian software outsourcing industry during the model construction and validation.

The simulation results show that the complexity of maintenance project has an insignificant effect on offshore migration. The maintenance work transfer should start with initial onsite team strength higher than that of required for ticket solving and project. The initial offshore team strength should be based on training capacity available at the onsite location. The higher attrition rate at an offshore is detrimental for offshore migration.

The implication of the study is in the development of a broad framework of software maintenance work transfer to offshore locations for Indian software outsourcing projects. As the study is based on expert opinion in the context of India, it cannot be generalized for outsourcing scenarios elsewhere.

The software project manager can use the findings to get more insight into maintenance project offshore migration and divide the software team between onsite and offshore location.

The study is novel as there is little attempt at finding the manpower composition at onsite and offshore locations for software maintenance project during the migration phase.

This study aims to examine the interrelationship between resilience, robustness and bullwhip effect using an inventory- and order-based production control system being subjected to operational disruption in the customer demand process.

Control engineering techniques and simulation are employed for the supply chain dynamics study.

The results show that resilience and robustness are two conflicting performance characteristics and therefore, a tradeoff can be established between them. It is also observed that improvement in resilience and reduction of bullwhip effect can be achieved simultaneously through a proper selection of control parameters.

The work establishes a relationship between the resilient behavior of a supply chain and bullwhip effect.

The purpose of this paper is to study the effect of a critical subsystem development indigenously on the outcome of an Indian defence R&D project. Indigenous development of the critical subsystem requires the development of a number of technologies; hence the study is taken up for indigenously development of critical subsystem.

A simulation-based approach is used in this paper for studying the effect of indigenization decisions. A defence R&D project with the critical subsystems is modeled in Graphical Evolution and Review Technique (GERT) networks, and simulated in Arena simulation software using discrete event simulation model. The simulation model is thereafter experimented with decision options for the critical subsystem. Data were collected from the project management office (PMO) of short range homing guided missile (SRHGM) for this simulation study.

It has been found in this case that timely development of technology plays a key role in the Indian defence R&D projects. While indigenization of critical components reduces cost of development, the trade-off lies in much increased project development time. It is imperative that project teams should identify critical components early and work out appropriate strategies of indigenous development to avoid time overrun of the projects.

The accuracy of results of the study could perhaps be affected on account of the extent of data forthcoming from the PMO. However, GERT framework presented in this paper is realistically derived from the practices used in the SRHGM project.

The study would help the project teams to identify critical subsystems early and work out appropriate strategies of indigenous development to avoid time overrun of the projects. This study would also make the project as well as the R&D teams aware of the causes for delays and cost overruns, and assist to deliver a product meeting end-user requirements.

The design of an effective inventory control system is difficult, particularly if the demand fluctuates widely and in a seasonal manner. Most traditional analytical models seem to be inadequate and over‐simplified. An alternative to established mathematical models is suggested and control policies for a specific industrial situation are presented. The case of paint containers for a large paint company is considered. Demand, which is highly seasonal, has been deseasonalised by a Census‐II package to produce a demand distribution pattern, used as an input to simulation exercises. Four policies have been tested and analysed. Simulation results show that the (r, Q) system with a variable ROP adjusted each month on three months′ moving average of seasonalities shows the best results.