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The purpose of this study is to understand the profit implications of analytics-driven centralized discriminatory pricing at the headquarter level compared with sales force price delegation in the purchase of an aftermarket good through an indirect retail channel with symmetric information.

Using individual-level loan application and approval data from a North American financial institution and segment-level customer risk as the price discrimination criterion for the firm, the authors develop a three-stage model that accounts for the salesperson’s price decision within the limits of the latitude provided by the firm; the firm’s decision to approve or not approve a sales application; and the customer’s decision to accept or reject a sales offer conditional on the firm’s approval. Next, the authors compare the profitability of this sales force price delegation model to that of a segment-level centralized pricing model where agent incentives and consumer prices are simultaneously optimized using a quasi-Newton nonlinear optimization algorithm (i.e. Broyden–Fletcher–Goldfarb–Shanno algorithm).

The results suggest that implementation of analytics-driven centralized discriminatory pricing and optimal sales force incentives leads to double-digit lifts in firm profits. Moreover, the authors find that the high-risk customer segment is less price-sensitive and firms, upon leveraging this segment’s willingness to pay, not only improve their bottom-line but also allow these marginalized customers with traditionally low approval rates access to loans. This points out the important customer welfare implications of the findings.

Substantively, to the best of the authors’ knowledge, this paper is the first to empirically investigate the profitability of analytics-driven segment-level (i.e. discriminatory) centralized pricing compared with sales force price delegation in indirect retail channels (i.e. where agents are external to the firm and have access to competitor products), taking into account the decisions of the three key stakeholders of the process, namely, the consumer, the salesperson and the firm and simultaneously optimizing sales commission and centralized consumer price.

This study aims to examine how government policies have influenced the governance paradigm of Australian public universities from a historical perspective. In doing so, it addresses current uncertainty on government-governance connectivity.

The study draws on Foucault’s concept of governmentality and governance and uses a developed framework of three constituents of governance to explore government–governance connectivity through a critical discourse analysis.

The findings reveal that government policies have influenced the three constituents of governance differently since 1823, resulting in three distinct governance discourses. In the third governance discourse, the findings reveal a deviation from policy directions towards corporate managerialism, resulting in a hybrid governance control environment. This scenario has arisen due to internal stakeholders continuing to be oriented towards the previous management cultures. Other factors include structural and legalistic obstacles to the implementation of corporate managerialism, validity of the underlying theory informing the policy directions towards corporate managerialism and doubts on the achievability of the market based reforms associated with corporate managerialism. The totality of these factors suggests a theory practice gap to be confirmed through further empirical research. There are also policy implications for policymakers to recognize the hybrid control environment and ascertain the risk the hybrid control environment poses towards the expected outcomes of corporate managerialism.

The findings are limited to a critical discourse analysis of data from specific policies and journal publications on higher education and a developed framework of constituents of governance.

The study is the first to examine government–governance connectivity in Australian public universities and also the first to introduce a three-constituent governance framework as a conduit to explore such studies. The findings contribute to the literature in identifying a theory-practice gap and offer opportunities for further research to confirm them.

The purpose of this study is to test and validate a scale for measuring project resilience in the construction sector within the built environment. By identifying relevant indicators and items, the study aims to enhance the resilience of construction projects and minimize losses and failures resulting from disruptive events such as societal, technological, biological and environmental hazards (e.g. Covid-19, war in Ukraine, shortage of resources, etc.).

The study uses a quantitative approach, specifically exploratory factor analysis and confirmatory factor analysis, to evaluate the suitability, dimensionality and reliability of the proposed indicators and items for measuring project resilience in the construction sector.

The study found that 9 indicators and 34 items were suitable for measuring project resilience in the construction sector, and the proposed model showed good fit for the two dimensions of project resilience, which may have practical implications for project managers in the construction sector within the built environment.

The study proposes a new scale for measuring project resilience in the construction sector, which is a novel contribution to the field of project management. The study identifies specific indicators and items that are relevant to this industry, which may have practical implications for project managers in this sector. The study also highlights the need for further research to make the project resilience scale more robust and reliable.

This study aims to explore the relationships among the five components of supply chain (SC) resilience (SCRES): visibility, velocity, flexibility, robustness and collaboration and their impacts on the SC performance under disruption (SCPUD).

Five SCRES components are identified from the literature review and data are collected using an web survey from 113 manufacturing companies in Taiwan. The data are analyzed by structured equation modeling with the partial least square solution. Two-stage least-squares (2SLS) regression was used to test the potential endogeneity of SC collaboration (SCC).

The results reveal that SCC is an exogenous driver of SCRES; it directly affects visibility, velocity, flexibility, robustness and SCPUD. Furthermore, SC flexibility is the only component of SC agility that directly affects SCPUD; it is influenced directly by SC velocity and indirectly by SC visibility through SC velocity. SC visibility is a vital agility component that positively influences SC velocity and SC robustness.

The data in this study are cross-sectional and the sample size of 113 is relatively small. The relationship between SC robustness and SCPUD needs a longer observation period to reveal. The logistic issue in the shortage of carriers caused by the pandemic has been overlooked.

A firm should enhance its collaboration and flexibility in the SC as they both are the critical antecedents of SC performance (SCP) during the disruption period.

This study integrates visibility, velocity, flexibility, robustness and collaboration into a complete framework of SCRES. The dependent variable, SCPUD, measures SC performance (SCP) under the disruption caused by the COVID-19 pandemic. It is the first study to investigate the associations of the six constructs in a research model.

Shows how the lean and agile paradigms may be selected according to marketplace requirements. These are distinctly different, since in the first case the market winner is cost, whereas in the second case the market winner is availability. Agile supply chains are required to be market sensitive and hence nimble. This means that the definition of waste is different from that appropriate to lean supply. The proper location of decoupling points for material flow and information flow enable a hybrid supply chain to be engineered. This encourages lean (efficient) supply upstream and agile (effective) supply downstream, thus bringing together the best of both paradigms. The paper concludes by proposing a cyclic migratory model which describes the PC supply chain attributes during its evolution from traditional to its present customised “leagile” operation.

The aim of this paper is to analyze responses of public universities to the introduction of New Public Management (NPM) as the outcome of balancing between the managerial logics endorsed by NPM and the academic professional logics. Building on the institutional logics approach, we develop a framework concerning how universities will achieve compliance to conflicting claims by strategies like compartmentalization and blending stipulations of both logics. Empirical results based on a large-scale survey of 26 universities in eight European countries display how compatibility is achieved through highly differentiated adoption of logics that depends on the task considered. The results reveal that the strength of NPM pressures strongly affects the adoption of managerial practices within universities yet has no significant effect on the academic characteristics.

Standard financial risk management practices proved unable to provide an adequate understanding and a timely warning of the financial crisis. In particular, the theoretical foundations of risk management and the statistical calibration of risk models are called into question. Policy makers and practitioners respond by looking for new analytical approaches and tools to identify and address new sources of financial risk. Financial markets satisfy reasonable criteria of being considered complex adaptive systems, characterized by complex financial instruments and complex interactions among market actors. Policy makers and practitioners need to take both a micro and macro view of financial risk, identify proper transparency requirements on complex instruments, develop dynamic models of information generation that best approximate observed financial outcomes, and identify and address the causes and consequences of systemic risk. Complexity analysis can make a useful contribution. However, the methodological suitability of complexity theory for financial systems and by extension for risk management is still debatable. Alternative models drawn from the natural sciences and evolutionary theory are proposed.

The concept of postponement has a long history of academic literature and practical applications. The recent literature has also well documented that the need for postponement is driven by today's market and business environment. However, its applications are still not as widespread as expected. Therefore, we are interested in what factors enable or hinder the successful implementation of postponement. After a review on postponement, we propose an integrated framework that will help to develop a set of general ideas on which further work can be based. The practical difficulties associated with moving toward postponement are also included in this framework. The objective is also to understand better the challenges that exist in implementing postponement strategies.

Online social networks are increasingly important venues for businesses to promote their products and image. However, information propagation in online social networks is significantly more complicated compared to traditional transmission media such as newspaper, radio, and television. In this chapter, we will discuss research on modeling and forecasting diffusion of virally marketed content in social networks. Important aspects include the content and its presentation, the network topology, and transmission dynamics. Theoretical models, algorithms, and case studies of viral marketing will be explored.

Recent scholarship has explored higher education institutions’ (HEIs) role in transitioning to a sustainable society, but empirically, questions remain regarding their impact on the sustainability of surrounding areas. This study aims to examine the correlation between HEIs’ sustainability actions and local sustainability performance.

This study uses a linear regression model and principal component analysis to examine the sustainability performance of 105 US metropolitan statistical areas (MSAs) using the US cities sustainable development goal (SDG) index, which hosts 427 HEIs known for sustainability efforts. The weighted HEI sustainability performance score is calculated based on the QS sustainability universities ranking.

The correlation between MSA and HEI sustainability performance exhibits a mix of positive and negative associations, with individual and interlinked SDGs serving as proxies. These correlations encompass a wide range of goals, from economic aspects of SDG 1, 2, 3, 7, 9, social aspects of SDG10 and 16, to socio-environmental aspects of SDG12.

Further exploration is needed to identify the causal mechanisms behind associations between SDG measures and HEI sustainability performance, whether influenced by the institution, the individual or both.

This study suggests that HEIs are already associated with some aspects of community sustainability, but greater contributions to a broader array of sustainability measures are possible.

The correlation found between HEI sustainability actions and SDG10, 12 and 16 index performance in an MSA highlights a connection between HEIs and the attainment of societal goals.

To the best of the authors’ knowledge, this study is the first to examine the correlation between HEI and MSA sustainability performance in the US through individual and interlinked SDG proxies. It provides novel empirical evidence that demonstrates an association between HEI and some aspects of community sustainability performance.