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The author explores the challenges to implementation of Industry 5.0 in the manufacturing sector, considering the developing economy context and studying the causal relationships among factors using an advanced causal modelling technique, the Grey Influence Analysis (GINA). The challenges were further classified based on importance and their influencing power.

The author uses the novel causal modelling technique of GINA to study and understand the influence relations among the challenges to implementation of Industry 5.0.

Based on the results from the expert response-based study in the Indian manufacturing industry, it is seen that the Regulatory challenges (RGC) appear to be the most important challenge that needs to be tackled first, while implementing Industry 5.0. Integration with existing systems and Ethical challenges (ETC) emerge as the second and third most important in the category of challenges, as per the results from the GINA analysis.

The RGC and the ETC need to be addressed prior to implementation and it is necessary to check whether the technologies comply with regulations and whether it creates serious job displacements. While implementation, the challenges with integration to existing systems can be appropriately tackled.

As a practical implication of the study, the author suggests that a proactive and reactive approach can be adopted to implement the Industry 5.0 concepts to reality. The RGC can be viewed for the adoption of technology, integration challenges can be viewed by understanding the existing systems, and ETC can be addressed by understanding the workforce in combination with technologies.

The shift in focus on sustainability and resilience has transformed the conventional industries to think beyond efficiency and productivity, toward being more responsible to society. The study analyzes the challenges to implementation of Industry 5.0 and the causal relations among them considering an expert response-based study.

As a tenured associate professor whose career has engaged various social justice issues, this chapter discusses the collaborative and shared decision-making process used to found and maintain basketball teams for seven years. The chapter also focuses on personal reflections of coaching club basketball as part of an auto-ethnography. The chapter explains the experiences that influenced a praxis focused on social justice as an attempt to infuse principles of equality and inclusiveness in opposition to harsh traditional coaching practices. Youth embraced an approach with little yelling, but some parents disapproved. Finally, this work discusses the limitations and successes of utilizing a social justice approach, including professional and health consequences.

Since the development of the COVID-19 vaccinations, questions surrounding race have been prominent in the literature on vaccine uptake. Early in the vaccine rollout, public health officials were concerned with the relatively lower rates of uptake among certain racial/ethnic minority groups. We suggest that this may also be patterned by racial/ethnic residential segregation, which previous work has demonstrated to be an important factor for both health and access to health care.

In this study, we examine county-level vaccination rates, racial/ethnic composition, and residential segregation across the U.S. We compile data from several sources, including the American Community Survey (ACS) and Centers for Disease Control (CDC) measured at the county level.

We find that just looking at the associations between racial/ethnic composition and vaccination rates, both percent Black and percent White are significant and negative, meaning that higher percentages of these groups in a county are associated with lower vaccination rates, whereas the opposite is the case for percent Latino. When we factor in segregation, as measured by the index of dissimilarity, the patterns change somewhat. Dissimilarity itself was not significant in the models across all groups, but when interacted with race/ethnic composition, it moderates the association. For both percent Black and percent White, the interaction with the Black-White dissimilarity index is significant and negative, meaning that it deepens the negative association between composition and the vaccination rate.

The analysis is only limited to county-level measures of racial/ethnic composition and vaccination rates, so we are unable to see at the individual-level who is getting vaccinated.

We find that segregation moderates the association between racial/ethnic composition and vaccination rates, suggesting that local race relations in a county helps contextualize the compositional effects of race/ethnicity.

This study empirically assesses the perceptions the public has of employees and their organization following a [re]tweet, and the additional potential ameliorating effect of a disclaimer distancing the organization from the individual employee's social media presence.

A fully crossed 2 (disclaimer vs. no disclaimer) × 2 (positive vs. negative valence post) × 2 (post vs. retweet) experiment exposed participants (N = 173) to an employee's personal tweet. Resultant perceptions of both the poster (i.e., goodwill) and the poster's organization (i.e., organizational reputation) were analyzed using planned contrast analyses.

Findings reveal audiences form impressions of individuals based on both tweeted and retweeted content. Perceptions of both the poster's goodwill and the poster's organization were commensurate with the valence of the poster's tweets, stronger when posts were original tweets rather than retweets, and there was a significant interaction effect between valence and [re]tweet. Disclaimers did not significantly affect perceptions, suggesting employers may be better served by asking employees to omit reference to their employer on their personal social media accounts.

This research contributes to understanding how employee and organizational reputation are affected by employees' personal social media content. Results suggest that even when a disclaimer explicitly seeks to distance an employee from the organization, audiences still see the employee as an informal brand ambassadors of their organization.

This paper extends the authors’ previous research work investigating resilience for municipal infrastructure from an asset management perspective. Therefore, this paper aims to formulate a pavement resilience index while incorporating asset management and the associated resilience indicators from the authors’ previous research work.

This paper introduces a set of holistic-based key indicators that reflect municipal infrastructure resiliency. Thenceforth, the indicators were integrated using the weighted sum mean method to form the proposed resilience index. Resilience indicators weights were determined using principal components analysis (PCA) via IBM SPSS®. The developed framework for the PCA was built based on an optimization model output to generate the required weights for the desired resilience index. The output optimization data were adjusted using the standardization method before performing PCA.

This paper offers a mathematical approach to generating a resilience index for municipal infrastructure. The statistical tests conducted throughout the study showed a high significance level. Therefore, using PCA was proper for the resilience indicators data. The proposed framework is beneficial for asset management experts, where introducing the proposed index will provide ease of use to decision-makers regarding pavement network maintenance planning.

The resilience indicators used need to be updated beyond what is mentioned in this paper to include asset redundancy and structural asset capacity. Using clustering as a validation tool is an excellent opportunity for other researchers to examine the resilience index for each pavement corridor individually pertaining to the resulting clusters.

This paper provides a unique example of integrating resilience and asset management concepts and serves as a vital step toward a comprehensive integration approach between the two concepts. The used PCA framework offers dynamic resilience indicators weights and, therefore, a dynamic resilience index. Resiliency is a dynamic feature for infrastructure systems. It differs during their life cycle with the change in maintenance and rehabilitation plans, systems retrofit and the occurring disruptive events throughout their life cycle. Therefore, the PCA technique was the preferred method used where it is data-based oriented and eliminates the subjectivity while driving indicators weights.

Research on market information use in product innovation suggests that firms utilize two key strategic decision-making processes: incremental and comprehensive. Drawing from organizational information processing theory, literature implies that these processes operate differently. However, this assumption remains untested. Moreover, the degree to which a comprehensive process affects the innovation strategy outcomes depends on market information time sensitivity (MITS) and analyzability. To-date, no study has tested these assertions, either. Finally, it is suggested that meaningful market strategy is a key driver of new product success and it is important to understand how decision-making processes influence it under differing time sensitivity and analyzability.

Based on survey data from 250 Chinese firms, authors use structural equation modeling to test the hypotheses.

The results generally support authors’ contentions. More specifically, marketing strategy outcomes are influenced by marketing strategy incrementality (MSI) and marketing strategy comprehensiveness (MSC) differently. Further, time sensitivity moderates the effect of both MSI and MSC on outcomes, except for the effect of MSI on decision quality. Finally, analyzability moderates the relationships between decision making processes and certain strategy outcomes such as between MSI and meaningfulness.

Drawing from information processing theory, authors argue that incremental and comprehensive marketing strategy decision making for new product operate differentially under the same conditions. Further, the effects of these decision processes on outcomes depend on time sensitivity and analyzability of market information. Finally, auhtors argue that meaningful market strategy is a driver of success. The authors find support for most of our hypotheses and provide directions for future research.

Building upon a larger mixed-methods research agenda, the purpose of this research study was to explore the growth of generativity (i.e. care for the next generation) among college student leaders who mentor, answering the central question “What changes in generativity do college student leaders who mentor associate with their mentoring experience, and why?” and associated sub-question “How does generativity develop among college student leaders who mentor?”

Applying methodological innovation to a phenomenological design, semi-structured interviews were conducted and triangulated with pictorial degree-of-change graphs among 33 collegiate leadership mentors at a large Midwestern USA land-grant university.

The findings indicated that senior collegiate leadership mentors overwhelmingly acknowledged sustained generativity increases as a result of mentoring a younger student when given the tools, environment to process and time needed to develop trusting investment relationships. These increases in generativity were associated with changes in their understanding of generativity, the desire to pass on the knowledge given to them and growth in both mentor and mentee.

Findings from the current study advance mentoring research and practice by providing a deeper understanding of mentoring as a developmental intervention, informing antecedents of generativity and utilizing innovative qualitative methodological techniques.

This paper aims to consider stalking as an offending behaviour and the prevailing narratives associated with this offending behaviour given the increased attention of society and criminal justice. The stereotypes and labels associated with the offending behaviour often sensationalise aspects of those who engage in stalking. Frequently, individuals are portrayed as disturbed, psychopathic, mentally ill, violent and culturally deviant. Sometimes stalking behaviour is perversely downplayed as romantic perseverance. The impact of the stalker label extends outward from the act of marking legal and societal transgression, which impacts upon prospects for rehabilitation and desistance through the shaping of assumptions and maintenance of disempowering connotations.

This paper considers the impact of the stalking label as a therapeutic-, and perhaps rehabilitation-interfering problem for those who have stalked, drawing on recent research by Wheatley, Winder and Kuss (2020a).

It discusses the wide-ranging implications of labelling in this context and considers therapeutic approaches for intervention that may encourage rehabilitation engagement, mitigate shame and support desistance from a strengths-based perspective.

This paper draws on recent research exploring stalking case narratives of their own experiences of what drives stalking behaviour, existing labelling literature, and on specialist practitioners’ experiences of working with this group, to influence future thinking and research to address nuances highlighted.

Drawing on organizational learning and dynamic capabilities literature, this study aims to explore how suppliers from traditional emerging economies (STEE) can acquire, assimilate and use new knowledge essential for the development of production and marketing capabilities. These capabilities then facilitate suppliers in climbing the value chain from B-to-B to B-to-C.

The study adopted a longitudinal and multiple case study design to examine the practices of suppliers operating in a traditional emerging economy setting. This study selected Pakistan textile industry as an empirical setting, which is a predominantly supplier market for global buyers. Data sources entail semi-structured interviews with top executives and senior-level managers in four case firms and secondary data obtained from diverse sources.

The study identified transitionary phases of capabilities development that are facilitated by boundary-spanning knowledge acquisition and transformation in a dynamic manner. These capabilities are essential for a supplier’s entry into downstream international markets (i.e. launching its own products/brands in the end consumers’ market).

The findings could help managers in STEEs to understand the strategic importance of supply chain ties in their learning and capabilities development. It also provides strategic insights on what, how and why involved parties do engage over an extended period of time. Moreover, the findings of this study could help other firms to know and adopt the right type of technology(s) and systems that can help them reduce the technological gap in producing and marketing market-winning products.

This study advances the recent academic discussion that focusses on learning by supplying and the value-chain movement of suppliers (i.e. B-to-C) from their B-to-B engagements. The findings identified the vital and beneficial role of long-term relationships with global value chain partners in learning and capabilities development that led to value creation in the traditional emerging economy.