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Manufacturers and remanufacturers strive to maximize supply chain effectiveness by eliminating wastes in all their forms. This line of research extends the effectiveness during the products' working lives. Fraud in the warranty service chain (WSC) is one such source of waste that leads to revenue losses in the short term but when left unchecked leads to far worse results in the long term. Warranty frauds in the new product industry have received significant attention in recent literature. Addressing fraud issues in the remanufacturing industry have not been a high priority. Previous studies considered the primary parties in the WSC as possible sources of fraud. However, several unique opportunities exist for the secondary parties when it comes to fraud. This chapter considers fraud originating from one of the secondary parties of the WSC, namely the warranty administrator. The chapter models this fraud scenario using discrete event simulation and explores a possible fraud mitigation scenario.

Two-dimensional warranty policies exist for certain consumer products, such as automobiles. Here, warranty is specified in terms of the time since the sale of the product as well as mileage incurred during that period. Thus, at the time of purchasing the product, the manufacturer may offer a warranty of three years or 30,000 miles, whichever occurs first. Failures in the product within this specified period of time or mileage will be covered by the manufacturer.

In this chapter, we consider the scenario of enterprise warranty programs, where customers are given the option of extending the original warranty. Thus, the buyer could be given an option to purchase a five year—50,000 mile warranty, whichever occurs first. Of course, the buyer will be expected to pay a premium to purchase this extended warranty. Such enterprise warranty programs are also found in other consumer durables, such as refrigerators, washers, dryers, and cooking ranges.

This chapter explores determination of the decision variables, such as product price, warranty time, and usage limit under the original conditions and further, for the enterprise warranty, that is, the extended warranty time and extended usage limit, as well as the premium to be charged to the buyer who selects the extended warranty. Mathematical models are developed based on maximizing the expected unit profit by selecting an enterprise warranty program. Additionally, some other objectives are also considered based on the proportional increase in the expected unit profit due to the increased market share attained through the offering of an enterprise warranty program. Some results are obtained through consideration of various goal values of the chosen objectives.

Warranty policies for certain products, such as automobiles, often involve consideration of two attributes, for example, time and usage. Since consumers are not necessarily homogeneous in their use of the product, such policies provide protection to users of various categories. In this chapter, product usage at a certain time is linked to the product age through a variable defined as usage rate. This variable, usage rate, is assumed to be a random variable with a specified probability distribution, which permits modeling of a variety of customer categories. Another feature of the chapter is to model the propensity to execute the warranty, in the event of a failure within specified parameter values (say time or usage). In a competitive market, alternative product/warranty offerings may reduce the chances of exercising the warranty. This chapter investigates the impact of warranty policy parameters with the goal of maximizing market share, subject to certain constraints associated with expected warranty costs per unit not exceeding a desirable level.

This chapter addresses how firms buying information technology (IT) products select their suppliers. We argue that social embeddedness, in the sense of own experiences with suppliers and information about experiences of third parties, influences these types of selection decisions. More specifically, we claim that social embeddedness is more important if: (1) the potential damage for the buyer from receiving an inferior product is larger and (2) if it is more difficult for the buyer to monitor the quality of the product. We use large-scale surveys of IT transactions in the Netherlands and Germany to test these hypotheses. In general, our hypotheses about the effects of social embeddedness on partner selection are supported. We find that buyers tend to assign greater weight to product quality if the potential damage for the buyer is larger. Negative third-party information is particularly important if the buyer has large problems to monitor the quality of a product.

The essential investments in new product development (NPD) made by industrial companies entail effective management of NPD activities. In this context, performance measurement is one of the means that can be employed in the pursuit of effectiveness.

Market entry strategies range from foreign direct investment to licensing with varying levels of commitment, risk and opportunity. Exporting products or services is one of the most common of the intermediate market entry strategies. It is typically accomplished through authorized international channels of distribution. However, when significant price differences exist between markets, alternative, parallel channels of distribution are almost certain to arise. These parallel channels, often referred to as gray marketing, are generally legal but unauthorized distribution channels that create an alternative export market entry. After a review of the literature, a case study highlights these complex issues from the perspective of both manufacturer and parallel marketer. The case study provides a tool for evaluating theory and a basis for discussing this important alternative mode of market entry. The case and the discussion which follows also highlight the role of international trade shows as an important element of the marketing mix for entering many foreign markets.

Systems thinking calls for a shift of our mindset from seeing just parts to seeing the whole reality in its structured dynamic unity and interconnectedness. Systems thinking fosters a sensibility to see subtle connections between components and parts of reality, especially the free enterprise capitalist system (FECS). It enables us to see ourselves as active participants or partners of FECS and not mere induced factors of its production–distribution–consumption processes. Systems thinking seeks to identify the economic “structures” that underlie complex situations in FECS that bring about high versus low leveraged changes. A system is strengthened and reinforced by feedback of reciprocal exchanges that makes the system alive, transparent, human, and humanizing.

In Part I, we explore basic laws or patterns of behaviors as understood by systems thinking; in Part II we examine the basic archetypes or structured behaviors of systems thinking; in both parts we strive to see reality through the lens of critical thinking to help us understand patterns and structures of behavior among systems and their component parts. In conclusion, we argue for compatibility and complementarity of critical thinking and systems thinking to identify and resolve management problems created by our flawed thinking, and sedimented by our wanton assumptions, presumptions, suppositions and presuppositions, biases, and prejudices. Such thinking will also identify unnecessary economic and political structures of the self-serving policies we create, which imprison us.

Morality is primarily a system of values, meanings, convictions, beliefs, principles, and drivers of good behavior and good outcomes in any organization. Using systems thinking concepts and applications introduced and developed during the last 50 years or so by various scholars from MIT, Stanford, and Wharton, such as Chris Argyris, Russell Ackoff, G. K. Forrester, Peter Senge, Stephen Covey, and Jim Collins, this chapter seeks to explore various past and contemporary market systems and challenges in terms of specific inputs, processes, and outputs. Systems thinking reckons everything in the cosmos (usually classified as subjects, objects, properties, and events) as a system (composed of two or more interactive parts with individual and interactive effects) that is connected to every other system in the universe. Various systems thinking laws and archetypes that have been developed thus far by systems thinkers will be introduced in order to identify basic patterns, structures, and constraints of human thinking and reasoning that create market phenomena. The academic and managerial challenge is to identify, explore, and capitalize such nonobvious connections for creating and developing new markets and corporate growth opportunities in the highly turbulent markets of today. In a globalized, digitized, and networked planet and universe, systems thinking is a very effective tool for analyzing turbulent market systems holistically and in an inclusive and integrated manner, with their specific inputs, processes, and outcomes. Several contemporary market cases will be included to illustrate the contents of this chapter.