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This paper aims to apply the Product Life Cycle (PLC) and Product Evolutionary Cycle (PEC) frameworks to the nicotine and tobacco market to predict the impact of television commercials for electronic cigarettes (e-cigarettes) on youth.

Surveys were administered over a three-year period to 417 alternative high school students from Southern California who had never used e-cigarettes, cigarettes or cigars at the baseline. Covariate-adjusted logistic regression causal mediation models were used to test competing hypotheses from the PLC and PEC frameworks.

Results support a refined version of the PEC framework where e-cigarette commercials increase the odds of e-cigarette use, which leads to subsequent use of competing products including cigarettes and cigars.

This investigation demonstrates the utility of frameworks that conceptualize youth-oriented marketing as a two-part process in which potential customers are first convinced to adopt a behavior and then enticed to use a specific product to enact the behavior.

Rising rates of nicotine and tobacco product use among youth may be partially attributable to e-cigarette commercials.

Regulations in the USA that permit television commercials for e-cigarettes but restrict the promotion of cigarettes and cigars have created an opportunity to study product adoption among youth consumers when one product has a strategic marketing advantage.

In recent years, practitioners have identified a number of problems with traditional performance management (PM) systems, arguing that PM is broken and needs to be fixed. In this chapter, we review criticisms of traditional PM practices that have been mentioned by journalists and practitioners and we consider the solutions that they have presented for addressing these concerns. We then consider these problems and solutions within the context of extant scholarly research and identify (a) what organizations should do going forward to improve PM practices (i.e., focus on feedback processes, ensure accountability throughout the PM system, and align the PM system with organizational strategy) and (b) what scholars should focus research attention on (i.e., technology, strategic alignment, and peer-to-peer accountability) in order to reduce the science-practice gap in this domain.

Organization development is focused on implementing a planned process of positive humanistic change in organizations through the use of social science theory, action research, and data-based feedback methods. The role of personality in that change process, however, has historically been ignored or relegated to a limited set of interventions. The purpose of this chapter is to provide a conceptual overview of the linkages between personality and OD, discuss the current state of personality in the field including key trends in talent management, and offer a new multi-level framework for conceptualizing applications of personality for different types of OD efforts. The chapter concludes with implications for research and practice.

This research aims to provide a conceptual framework with the scope to assist in establishing sustainable supply chain clusters (SCCs) by providing an instrument for organisations to enhance the three sustainability dimensions in a dynamic environment.

This research proposes a conceptual framework to enhance sustainability and organisational performance through three theoretical lenses: the system theory, extended resource-based view and the dynamic capabilities (DCs) theory. This approach is carried out through a comprehensive review of the existing literature on SCCs.

Four main propositions are formulated and demonstrated using the developed framework, which expands the discussion about SCCs and their key characteristics in a dynamic environment. This is particularly relevant as it allows empirical testing of the theories in an SCC context.

It can be noted that more extensive research is needed to further understand the issues faced in establishing sustainable clusters. Drawing on the theoretical lenses to establish the framework helps to enhance the understanding and operational capabilities of sustainable SCCs during and after disruptions, such as the global disruption created by COVID-19.

This research paves the way to help organisations improve their adaptability to the dynamic business environment by emphasizing the importance of clustering and linking it to sustainability through DCs to establish a sustainable cluster.

This research aims to guide organisations' use of SCCs as tools to enhance sustainability in a dynamic environment, given that the relationship amongst supply chain cluster design characteristics (SCCDCs), DCs and sustainability remains unexplored. The combination of the three theoretical lenses in developing the proposed framework will assist in further understanding the applicability of these theories when they are considered together.

The purpose of this paper is to provide an overarching framework to guide the understanding of the allocation and deployment of strategic human capital assets within an organization. Using the concept of medical triage with business units analogous to “patients” and their performance to “symptoms or injuries,” the framework suggests a “steal from the poor” perspective that is counter to conventional organizational decline literature.

This is a conceptual paper proposing that there are five different categories of business unit need for human capital assets: expectant, deceased, immediate, delayed or minimal; all based on the type of environment and holistic performance of the business unit. Based on a business unit’s specific situation, the authors suggest a process model guiding how to conduct a triage analysis to optimize the allocation of strategic human capital assets within an organization.

The authors argue that current trends in assessing strategic human capital assets which make comparisons across organizations are necessary but insufficient (e.g. comparing a store to other stores in its district or region). Each business unit has its own unique internal capabilities and external constraints that also must be accurately assessed to make an informed organizational-level decision about where and how to deploy strategic human capital assets.

Borrowing from medical science, this paper demonstrates a new conceptual framework with propositions for researchers and guidance for practitioners.

The importance of integrating sustainability into business activities rises continuously. In addition to an established focus on forward logistics, there is a growing awareness of reverse logistics. Reverse logistics ensures sustainable practices and increases competitiveness for companies, but it also comes with challenges. Therefore, the implementation of reverse logistics is associated with uncertainties. This paper aims to fill this gap by analyzing the development and comprehensive potential of reverse logistics as a sustainability tool.

To bridge the research gap, a real-time Delphi study was conducted. Through an extensive desk research, semi-structured interviews and an expert workshop, 14 projections for the German food sector of 2040 were created. A total of 49 experts in the field of logistics, reverse logistics and food logistics assessed the future projections concerning estimated probability, impact and desirability of occurrence.

The findings derived lead to three possible future scenarios as well as potential drivers and barriers that food companies, the government and society need to consider to enable a successful transition toward implementing reverse logistics in food supply chains.

The study examined the future role of reverse logistics as a sustainability tool in food supply chains. The results serve as a framework for decision-making on the sustainable orientation of business practices, leading to increased competitiveness and resilient business strategy. Several implications are derived for practitioners, policymakers and society to promote reverse logistics. Methodologically, this study extends existing Delphi methods by conducting a quantitative dissent and sentiment analysis, considering various surface-level and deep-level diversity characteristics.

The present study aims to empirically investigate whether supply chain agility and lean management practices are antecedents of supply chain social sustainability.

Data were collected from 311 supply chain practitioners from the Indian manufacturing sector. Confirmatory factor analysis was employed to test the validity and reliability of the measures used, and a structural model was analyzed to test the hypotheses of the current study.

The results indicate that agility and lean practices are significant antecedents of social sustainability orientation as well as social sustainability performance. The results also suggest that agility has a significant indirect effect on operational performance via social sustainability orientation, basic social sustainability practices as well as agility is indirectly affecting social sustainability performance via social sustainability orientation and basic social sustainability practices.

The results of the present study have implications for managers that want to make their supply chain more socially sustainable.

The study is unique in the sense that it empirically links agility and lean practices with social sustainability orientation, social substantiality performance and operational performance in supply chains.

The purpose of this paper is to propose a path analysis of data coming from a citizen's satisfaction survey to support decision makers in quality service improvement. In detail, the survey aims to measure citizen's satisfaction of an Italian local Public Administration regarding the “infant school (0‐6 years) enrollment service”.

The survey represents an experimentation of an original model measuring customers' satisfaction toward on‐line services. Some statistical methods to analyse a given dataset from different points of view are selected.

Outcomes of descriptive statistics as well as of multivariate data analysis to summarize information variables are presented. A new multivariate statistical technique, Probabilistic Expert Systems (PES) (Cowell et al.), is proposed to simulate corrective actions (scenarios) and to suggest the best one for the service quality improvement.

The paper shows that statistical methods are able to support the decisional process because they allow the development of information (gathered from survey) into know‐how. However, managers need to join together both statistical information and experience by means of a systematic method, in order to take effective decisions.