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The purpose of this chapter is to analyse the procurement of public–private partnerships (PPPs) through unsolicited proposals (USPs). This chapter compares the policy framework and economic data of USPs in Brazil and Chile and provides some economic insights based on this analysis. In line with the existing literature, empirical evidence shows that non-proponents rarely win the tender for a project based on a USP. Differently from the existing literature, data analysis suggests that USPs may result on successful projects only in very specific conditions. USPs may work better in sectors where the government has developed higher in-house expertise to manage infrastructure projects. Also, USPs are more fit to projects that are clearly economically viable ex ante. However, even in these cases, USPs might generate a higher transaction cost to the government and less competitive tenders in comparison to solicited proposals. The analysis focuses on countries that have a very rich experience in USPs. Nonetheless, given the different legal and regulatory environments around the globe, it is difficult to provide a one-size fits-all USP policy. This chapter aims to provide some insights into how to manage a USP in order to improve the public policy framework of this procurement tool. This chapter contributes to the literature as it provides an economic analysis of the conditions in which the USP mechanism could result in a successful project.

The most recent advent of the unsolicited proposal in the public private partnership mode of infrastructure procurement has changed the duties and roles of private and public sector agencies. Also, they have increased the practitioners' difficulties to work out strategic mechanisms and methods to manage these unsolicited proposals (USP) effectively. So, this study aims to understand how well equipped are the Indian USP guidelines for managing procurement.

Content analysis with coding procedures was carried to understand the regulations of USP frameworks of India over the four stages of USP procurement.

The findings show that there are severe flaws in various states' frameworks. The states have flaws in their policies in implementation features across the stages of USP such as defined objectives, the absence of fees and review timeframes in the submission, time frame and guidance on benchmarking and market testing in evaluation and development, time frame for bidding and access to information in procurement stages.

The USP implementation framework developed as part of this study can direct the policymakers and practitioners to improve public procurement regulations and the necessary changes for the successful implementation of USPs. In doing this, the private sector is enabled to develop more competitive and innovative proposals.

The aim of the study is to show that merging two areas of mathematics – topology and discrete optimization – could result in a viable option to solve classical or specialized integer problems.

In the paper, discrete topology concepts are applied to propose a metaheuristic algorithm that is capable to solve binary programming problems. Particularly, some of the homotopy for paths principles are used to explore the solution space associated with four well-known NP-hard problems herein considered as follows: knapsack, set covering, bi-level single plant location with order and one-max.

Computational experimentation confirms that the proposed algorithm performs in an effective manner, and it is able to efficiently solve the sets of instances used for the benchmark. Moreover, the performance of the proposed algorithm is compared with a standard genetic algorithm (GA), a scatter search (SS) method and a memetic algorithm (MA). Acceptable results are obtained for all four implemented metaheuristics, but the path homotopy algorithm stands out.

A novel metaheuristic is proposed for the first time. It uses topology concepts to design an algorithmic framework to solve binary programming problems in an effective and efficient manner.

One of the most important problems concerning the toll roads is the setting of an appropriate cost for traveling through private arcs of a transportation network. The purpose of this paper is to consider this problem by stating it as a bilevel programming (BLP) model. At the upper level, one has a public regulator or a private company that manages the toll roads seeking to increase its profits. At the lower level, several companies-users try to satisfy the existing demand for transportation of goods and/or passengers, and simultaneously, to select the routes so as to minimize their travel costs. In other words, what is sought is kind of a balance of costs that bring the highest profit to the regulating company (the upper level) and are still attractive enough to the users (the lower level).

With the aim of providing a solution to the BLP problem in question, a direct algorithm based on sensitivity analysis (SA) is proposed. In order to make it easier to move (if necessary) from a local maximum of the upper level objective function to another, the well-known “filled function (FF)” method is used.

The paper proposes and tests two versions of the heuristic algorithm to solve the toll optimization problem (TOP) based upon SA for linear programming (LP) problems. The algorithm makes use of an SA procedure for the LP problem at the lower level, as well as of the “filled” function technicalities in order to reach the global optimum when “jammed” at some local optimum. Numerical experiments with a series of small and medium dimension test problems show the proposed algorithm’s robustness and decent convergence characteristics.

Numerical experiments with a series of small- and medium dimension test problems show the proposed algorithm’s robustness and reasonable convergence characteristics. In particular, while ceding in efficiency to other algorithms when solving small problems, the proposed method wins in the case of medium (higher dimensional) test models. Because of that, one can expect a serious real-life impact on the TOP when the proposed methods and/or their improved versions are developed further to be applicable in practice in the near future.

The proposed algorithms are original and perform well when solving small and medium test numerical problems. The proposed heuristics aim at filling in a gap in a series of numerical approaches to the solution of TOP problem listed in the Introduction. To the authors knowledge, no systematic attempts to apply the SA tools to the toll assigned problem have been recently made. Moreover, the combination of these powerful tools with the “FFs” techniques brings forward some new global optimization ideas. Exactly these features build up the knowledge this specific paper offers in relation to previous relevant works.

This study aims to propose and empirically validate a framework of antecedents and consequences of customer inspiration.

This study consisted of a survey administered to consumers who are current users of Samsung or Apple electronic devices. The survey targeted only users who had some level of university studies to homogenize the sample’s characteristics. The data were analyzed using structural equation modeling.

Results support the two-step nature of customer inspiration, with “inspired by” (activation) as the first step followed by “inspired to” (intention). In addition, the results highlighted the role of brand experience and openness to experience as antecedents to customer inspiration, while customer satisfaction, brand engagement in self-concept, brand affect, word of mouth and repurchase intention were validated as its consequences.

This study aids understanding of the role of customer inspiration as a conceptual and empirical construct in consumer behavior by including brand experience as an inspiration stimulus, as well as other constructs that relate to inspiration. This study also describes possible strategic implications when using brands of electronic devices as sources of inspiration.

This research proposes and illustrates a conditional view of lean supply chain management (LSCM) based upon the contextual contingent alignment between lean performance objectives (i.e. a contextual factor) and supply chain management challenges (i.e. a contingent condition) in the selection of lean approaches (i.e. a contingent event).

Drawing on the notions of contingency-based practices and strategic fit, the authors’ LSCM reconceptualization jointly considers contextual and contingency factors in specifying what lean approaches to adopt. The authors illustrate the practical relevance of LSCM reconceptualization for the Canadian agri-food industry using the Delphi method.

The authors highlight that LSCM is founded upon alignment associations between specific lean performance objectives and supply chain challenges as well as their influence on the selection of suitable lean approaches. The empirical illustration shows that those alignment associations do not occur at random, which supports the conditional view of LSCM.

The contextual contingent view of LSCM can inform future scholarly inquiry and can reframe practically relevant middle-range theorization on LSCM.

The Delphi method-derived descriptive model of LSCM provides guidance to managers in the Canadian agri-food sector in identifying suitable lean approaches to adopt given the specific performance objective(s) pursued and supply chain management challenge(s) encountered.

The authors advance scholarly theorization and managerial understanding of LSCM by providing a conditional conceptualization that jointly considers relevant contextual and contingency factors that hitherto have not been examined. In ascribing what lean approach(es) to adopt to the alignment associations influence between lean performance objective(s) pursued and supply chain management challenge(s) encountered, the authors provide compelling conceptual and empirical support for the joint conditional view of LSCM.

In this chapter, the author provides an overview of some central issues of the book. First she shows the similarities in the challenges to increase the participation and success of Roma people in education and lifelong learning in the selected European countries; then she discusses their policies and support programmes, which on the one hand try to improve the social situation of the Roma while promoting minority language and culture on the other hand. The author finds the reason for their similarities regarding the wording, defining and communicating and also concerning the main ideas and concrete projects for possible solutions, in the Roma inclusion policy of the European Union in the frame of the Open Method of Coordination, which has been introduced within the Lisbon Strategy, linked to the idea of lifelong learning. She considers the realisation of these policy measures at national, regional and local levels to have shown only unsatisfactory results until now.

Customer interaction is both an aim and source of concern for managers around the world. Different forms of interaction, such as cocreation, coproduction and customer participation, are evaluated in different fields of knowledge, with a gap in terms of the joint analysis of their antecedents and consequences as well as possible practical distinctions in the effects of these concepts. The purpose of this paper is to examine customer interaction effects by applying meta-analysis of effect sizes that measure the strength of their relationships.

The study used meta-analysis and moderator analysis approaches to synthesize preview results on customer interaction relationships.

The results suggest the empirical validity of using customer participation to replace terminologies such as coproduction and cocreation, and show the moderation role of institutional, cultural and contextual factors.

This study investigated the literature in the areas of business and management to show whether, how and when customer interaction is related to individual and organizational factors. Although the conceptual and empirical implications derived from the preliminary efforts and the consolidated results are robust to generalization, methodological biases limited the findings.

This research suggests that a better understanding of customer interaction (antecedents, consequences and moderators) may help organizations to identify the most appropriate ways to build their strategies and to improve the results of their efforts.

This study contributes to the literature by providing one of the few attempts to consolidate the preliminary studies in different forms of customer interaction, suggesting possible moderations and amplifying the preliminary efforts.

We present a critical literature review debating Brazilian research on social and environmental accounting (SEA). The aim of this study is to understand the role of politics in the construction of hegemonies in SEA research in Brazil. In particular, we examine the role of hegemony in relation to the co-option of SEA literature and sustainability in the Brazilian context by the logic of development for economic growth in emerging economies. The methodological approach adopts a post-structural perspective that reflects Laclau and Mouffe’s discourse theory. The study employs a hermeneutical, rhetorical approach to understand and classify 352 Brazilian research articles on SEA. We employ Brown and Fraser’s (2006) categorizations of SEA literature to help in our analysis: the business case, the stakeholder–accountability approach, and the critical case. We argue that the business case is prominent in Brazilian studies. Second-stage analysis suggests that the major themes under discussion include measurement, consulting, and descriptive approach. We argue that these themes illustrate the degree of influence of the hegemonic politics relevant to emerging economics, as these themes predominantly concern economic growth and a capitalist context. This paper discusses trends and practices in the Brazilian literature on SEA and argues that the focus means that SEA avoids critical debates of the role of capitalist logics in an emerging economy concerning sustainability. We urge the Brazilian academy to understand the implications of its reifying agenda and engage, counter-hegemonically, in a social and political agenda beyond the hegemonic support of a particular set of capitalist interests.