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The COVID pandemic has prompted B2B and industrial marketing scholars to understand more about how external disruptions impact parties involved in B2B transactions. This paper aims to adopt an ecosystem perspective to conceptually classify the interactions between actors involved in B2B ecosystems.

This conceptual paper presents a framework across multiple levels of ecosystem interactions (at micro, meso and macrolevels) to illustrate how value cocreation and knowledge flows (as mechanisms underlying B2B relationships) are related to firm performance.

Based on this framework, this paper offers propositions and several research questions about the effects of disruptions and how they propagate among these essential business ecosystem elements.

This conceptual framework underscores the vital role of relationships and interactions in shaping B2B ecosystems, especially during disruptive periods. With a greater understanding of how these interactions operate across levels (micro, meso and macro), scholars and practitioners may be better able to navigate disruptive periods.

We descriptively examined measures of family structure, socioeconomic disadvantage, and exposure to crime, violence, and substance use in young adulthood and childhood for those who experienced maternal incarceration as children.

We used data from waves I and IV of the National Longitudinal Study of Adolescent to Adult Health. We compared these individuals to two groups: those who did not experience maternal incarceration and those who experienced paternal incarceration. We generated weighted means and conducted F-tests using bivariate regressions to determine where these groups significantly differed.

We found that individuals whose mothers were incarcerated during their childhoods experienced greater hardships in both childhood and young adulthood than those whose mothers were not incarcerated. Individuals who experienced maternal incarceration reported similar levels of socioeconomic disadvantage and exposure to crime and violence as those who experienced paternal incarceration. One notable exception was family structure, where maternal incarceration was associated with significantly fewer respondents reporting living with their mother or either biological parent.

With the exception of family structure, the childhood and transition to adulthood were comparable for individuals experiencing any form of parental incarceration. These children were significantly more disadvantaged and exposed to more risk factors than those whose parents were never incarcerated. Additional support and resources are necessary for families who have incarcerated parents, with special outreach made to families without a biological mother in the household.

There has been no overarching, descriptive study comparing child and young adult outcomes of those with an incarcerated mother using a nationally representative, longitudinal dataset in the United States.

Contact centers for patient and referring physician are important to large medical-centers such as the Mayo Clinic's Central Appointment Office (CAO). The aim of this case study is to report the process and results of a major process improvement effort, designed to simultaneously improve service quality and efficiency.

Discrete-event simulation and optimization are used and linked to significant service improvements.

The process improvement efforts led to about a 70 percent improvement in patient service performance as measured by average answering-speed (ASA) and average abandonment rate (AAR). This was achieved without adding additional staff, despite call volume increasing by 12 percent. Evaluating process improvement projects is difficult owing to the “phased” implementation of changes. Thus, there is no true control against which to compare. Additionally, the results are based on a single case study.

Evaluation of process improvement projects is difficult due to the “phased” implementation of changes. Thus, there is no true control to compare against.

Contact center data and operations research methods, such as discrete-event simulation and optimization, can be integrated with change management, which results in significant process improvements in medical call-centers.

Structured quantitative modeling of contact centers can be an important extension to traditional quality and process improvement techniques.

This chapter contributes to the discourse of difference by problematizing the sameness/difference trope through the lens of the exceptional. It explores the nature of being exceptional with an expectation that its nature is contingent and variable. At the heart of understanding what constitutes exceptional is its implicit comparison with the average. While exceptional is defined to include both individuals who achieve in extraordinary ways and individuals with a physical or mental impairment, the two definitions are consonant in that both describe individuals who deviate from expected norms. Relying on the insights from pragmatism, this chapter considers community habits exceptional individuals must confront in forming their choices. In this way, it further adheres to the lessons from pragmatism for norm change. The strategies individuals use to alter the effects of being perceived as exceptional contribute to the overall discourse in equality and equal protection and potentially constitute the individual action that formulates change. It examines some approaches to the Americans with Disabilities Act (ADA) derived from civil rights and from economic perspectives and the relevant matrix of choices available to the exceptional to understand the potential for productive change. With this foreground, it examines the choice of exceptional individuals to cover or convey matters of their identity. This chapter pays particular attention to these choices in seeking accommodations under the ADA. Ultimately, this study strives to participate in the conversation seeking to maximize human potential.

This chapter estimates the negative effect of smoking on earnings in the context of a developing country. Using data from the 2005 Albania Living Standards Measurement Survey, models are estimated by parametric and semi-parametric methods to account for the effect of observable and unobservable characteristics that could affect individual smoking decisions and earnings. Information on the smoking behaviour of parents is used to address the endogeneity of the smoking decision. The results show that, after controlling for observed individual characteristics and parental education and taking into account unobserved heterogeneity in personal characteristics, smoking is found to have a substantial negative impact on earnings. The main results are robust to a range of alternative specifications. On average, smokers’ earnings are 19–23 percent lower than the earnings of similar non-smokers.

The purpose of this paper is to help organizations capitalize on the potential advantages of age diversity by offering insight into two new moderators in the age diversity, work group performance relationship – status congruity and cognition-based trust.

The authors surveyed 197 employees and 56 supervisors across 59 work groups to test for the moderating effects of status congruity and cognition-based trust on the age diversity, work group performance relationship.

The results demonstrated, on the one hand, that under conditions of status congruity (i.e. when there were high levels of perceived status legitimacy and veridicality) and/or when perceptions of cognition-based trust were high within the group, the relationship between age diversity and work group performance was positive. On the other hand, under conditions of status incongruity and/or low levels of cognition-based trust, this relationship was negative.

The findings contribute to the literature by being the first to provide empirical evidence for the theorized effects of status on the performance of age-diverse work groups and also by demonstrating the effects of cognition-based trust in a new context – age-diverse work groups.

Arising from the study’s findings are several strategies, which are expected to help organizations enhance perceptions of status congruity and/or trust and ultimately the performance of their age-diverse work groups.

The paper is the first to empirically demonstrate the moderating effects of status congruity and cognition-based trust on the age diversity, work group performance relationship. The study also establishes important distinctions between the effects of objective status differences vs status perceptions.

The purpose of this paper is to describe a computer‐assisted learning experience in operations management (OM) higher education that entailed the development of interactive learning software, its evaluation in an experimental environment and the formal analysis of the teaching method's influence on student perceptions.

The software design follows the constructivist focus based on widely‐accepted educational technology principles. Objective tests of knowledge and subjective appraisal of the learning process were used in the experiment to compare two educational scenarios (computer‐assisted learning and on‐site class). Students' perceptions of the software's technical and teaching features are also analyzed.

The study shows that the teaching method can significantly affect students' perceptions of the learning process. The findings also confirm the pedagogical effectiveness of the software that was designed and that information communication technologies (ICT)‐based methods are an alternative to traditional methods used in OM education.

The experiment involved strict control over various potential threats to validity. From a statistical point‐of‐view, the conclusions can only be generalized in the population analyzed. Nevertheless, the features of the software and the student profile allow the main conclusions to be generalized to other OM environments.

The use and evaluation of interactive software in OM educational environments are reflected on, with emphasis on the influence that the teaching methodology has on students' attitudes to the learning process. It is of interest for researchers interested in improving teaching through the use of ICT.

There are very few studies on interactive self‐learning software for OM and its effects on student perceptions. This paper is a new contribution to this field.

Academics and practitioners have long acknowledged the potential of multiagent systems (MAS) to automate and autonomize decision-making in logistics and supply chain networks. Despite the manifold promises of MAS, industry adoption is lagging behind, and the exact benefits of these systems remain unclear. This study aims to fill this knowledge gap by analyzing 11 specific MAS use cases, highlighting their benefits, clarifying how they can help enhance logistics network resilience and identifying existing barriers.

A three-stage Delphi study was conducted with 18 industry experts. In the first round, these experts identified 11 use cases of MAS and their potential benefits, as well as any barriers that could hinder their adoption. In the second round, they assessed the identified use cases with regard to their potential to enhance logistics network resilience and improve organizational productivity. Furthermore, they estimated the complexity of MAS implementation. In the third round, the experts reassessed their evaluations in light of the evaluations of the other study participants.

This study proposes 11 specific MAS use cases and illustrates their potential for increasing logistics network resilience and enhancing organizational performance due to autonomous decision-making in informational processes. Furthermore, this study discusses important barriers for MAS, such as lack of standardization, insufficient technological maturity, soaring costs, complex change management and a lack of existing use cases. From a theoretical perspective, it is shown how MAS can contribute to resilience research in supply chain management.

The identification and assessment of diverse MAS use cases informs managers about the potential of this technology and the barriers that need to be overcome.

This study fills a gap in the literature by providing a thorough and up-to-date assessment of the potential of MAS for logistics and supply chain management. To the best of the authors’ knowledge, this is the first study to investigate the relevance of MAS for logistics network resilience using the Delphi method.

I argue that while group and organizational identity research is gaining in popularity, there has not been sufficient attention paid to explicating what identity refers to at the level of the collective. The goal of this chapter is to ‘disentangle’ various issues associated with the concept of collective identity. To meet this goal, I pose questions that scholars should consider when engaging in identity-related research. I begin by asking, “Is it identity?” Here, I address the characteristics that are central to identity, and that differentiate it from similar constructs (e.g. culture). I then ask, “Is it collective identity?” Here, I address issues of levels of analysis, identity locus and origin, as well as how identity comes to be shared in the collective via socialization and media. I conclude by discussing how identity research can be enhanced by more carefully considering these fundamental questions, and suggest some terms that scholars can employ to make their identity-related assumptions and arguments clearer and more precise.