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The purpose of this paper is to provide an overview of the evolution of service supply chain management from a behavioural operations perspective, pointing out future research directions for scholars.

This study searched five databases for relevant literature published between 2009 and 2018, selecting 64 papers for this review. The selected literature was categorised according to two dimensions: a service supply chain link perspective and a behavioural factor perspective. Comparative analysis was used to identify gaps in the literature, and five future research agendas were proposed.

In terms of the perspective of service supply chain link, extant literature primarily focuses on service supply and service co-ordination management, and less on service demand and integration management. In terms of the behavioural factor’s perspective, most focus on classic behaviour factors, with less attention paid to emerging behaviour factors. This paper thus proposes five research agendas: demand-oriented management and integrated supply chain-oriented behavioural research; broadening the understanding of the scope of behavioural operations; integrating the latest backgrounds and trends of service industry into the research; greater attention to behavioural operations in service sub-industries; and multimethod combination is encouraged to be used to dig into the interesting research problems.

This study constitutes the first systematic review of service supply chain research from a behavioural perspective. By categorising the literature into two dimensions, the state of existing research is evaluated with an eye towards future research avenues.

To cope with climate change and achieve the dual carbon goal, China has actively promoted the implementation of carbon trading pilot policy, among which the power industry plays an important role in China’s carbon emission reduction work. The purpose of this paper is to study the influence of carbon trading policy on the energy efficiency of power industry and achieve the comprehensive goal of carbon emission reduction, carbon peak and carbon neutralization.

This paper constructs the difference-in-differences model based on 2012–2019 provincial data to study the impact of carbon trading policy on energy efficiency in the power industry and its effect path. Heterogeneity analysis was conducted to compare the effects of carbon trading policy in eastern, central and western regions as well as at different levels of power structures.

Carbon trading policy can significantly improve the energy efficiency of the power industry, and the policy effect is more significant in eastern and western regions and areas with high power structure. Mechanism analysis shows that carbon trading policy mainly influences the energy efficiency of power industry by environmental protection investment, power consumption demand and industrial structure.

This paper uses provincial panel data to deeply study the influence of carbon trading policy on energy efficiency of the power industry and its effect path. By constructing the difference-in-differences model, this paper empirically analyzes the governance effect of carbon trading policy. Meanwhile, it controls individual and time effects to solve the endogeneity problem prevalent in previous literature.

The paper aims to identify and analyze passengers’ riding paths for providing better operational support for digital transformation in megacity metro systems.

The authors develop a method to leverage certain passengers’ deterministic riding paths to corroborate other passengers’ uncertain paths. Using Automatic Fare Collection data and train schedules, a witness model is built to recover the actual riding paths for passengers whose paths are unknown otherwise. The identification and analysis of passenger riding paths between three different types of origin–destination) pairs reveal the complexity of passenger path choice.

The results show that passenger path choice modeling is usually characterized by complexity, experience and partial blindness. Some passengers choose paths that are not optimal due to their experience and limited access to overall metro system information. These passengers could be the subject of improved path guidance in light of riding efficiency improved through digital transformation.

This research contributes to the improvement of metro management and operations by leveraging ongoing digital transformation in megacity metro systems. Based on the riding paths and trip chains of a large number of individual passengers identified by the proposed method, metro operation management could prevent risks in areas with concentrated passenger flow in advance, optimally adjust train schedules on a daily basis and deliver real-time riding guidance station by station, which would greatly improve megacity metro systems’ service safety, quality and operational efficacy over time.

The purpose of this study is to provide insights and guidance for practitioners in terms of ensuring rigorous ethical and moral conduct in artificial intelligence (AI) hiring and implementation.

The research employed two experimental designs and one pilot study to investigate the ethical and moral implications of different levels of AI implementation in the hospitality industry, the intersection of self-congruency and ethical considerations when AI replaces human service providers and the impact of psychological distance associated with AI on individuals' ethical and moral considerations. These research methods included surveys and experimental manipulations to gather and analyze relevant data.

Findings provide valuable insights into the ethical and moral dimensions of AI implementation, the influence of self-congruency on ethical considerations and the role of psychological distance in individuals’ ethical evaluations. They contribute to the development of guidelines and practices for the responsible and ethical implementation of AI in various industries, including the hospitality sector.

The study highlights the importance of exercising rigorous ethical-moral AI hiring and implementation practices to ensure AI principles and enforcement operations in the restaurant industry. It provides practitioners with useful insights into how AI-robotization can improve ethical and moral standards.

The study contributes to the literature by providing insights into the ethical and moral implications of AI service robots in the hospitality industry. Additionally, the study explores the relationship between psychological distance and acceptance of AI-intervened service, which has not been extensively studied in the literature.

This study aims to investigate the hybrid nature and scope of environmental innovation (EI) by assuming a paradox perspective and developing it empirically. Specifically, the authors raise the questions of how the opposite elements of EI characteristics can be arranged and combined to generate benefits for companies and markets.

A fuzzy-set qualitative comparative analysis (fsQCA) is conducted to analyse European companies operating in telecommunications and in information and communication technology (ICT). This method helps us interpret the complexity occurring in the real world, in which the contribution of a specific attribute to the outcome might change according to other interacting and concurring aspects.

By recognising the conflicting aspects inherent to the complexity of EI, this study addresses how these tensions can be embraced. Specifically, the paradox logic is proposed to open EI strategy to a “both-and” perspective, with the purpose of making EI goals concretely feasible and integrated into a holistic view.

Paradoxical resolution denotes purposeful iterations between alternatives to ensure simultaneous attention to them over time. A paradox logic can support managers in making the EI strategy more workable and reconciling the extremes as well as possible.

This study unpacks the multiple enactments of EI by exploring the factors enabling integrated EI benefits. By adopting a paradox approach, the EI strategy may be interpreted in a “both-and” perspective, allowing firms to concretely achieve integrated EI benefits.

This paper fills a gap in the literature on branding, as local and glocal brands have not received as much attention as global brands from academics and practitioners and the scarce amount of relevant research done on glocal branding strategies is mainly theoretical or conceptual.

This paper therefore defines a model relating brand beliefs (brand quality, brand image, brand familiarity and brand as a social signalling value), brand attitudes and brand purchase intentions. The model is then tested with a sample of different categories/types of consumer brands (local, global and glocal). The influence of the type of brand on these relationships is then analysed.

The findings suggest that brand quality is the most important driver of brand attitude for any type of brand, and that the relationship between brand quality and brand attitude, as well as between brand attitude and brand purchase intention, is weaker for a glocal brand than for a local or global brand.

This paper provides new empirical evidence of the influence of brand type on brand associations and attitude configurations and the effects these attitudes have on buying intentions. This work is also relevant for the managers’ efforts to develop more effective global, glocal and local marketing strategies for brand positioning.

El presente trabajo persigue contribuir a la literatura sobre marcas al tratar sobre las marcas locales y las marcas glocales, puesto que éstas han estado menos estudiadas que las marcas globales.

Definimos un modelo que relaciona las creencias de marca (la calidad de marca, la imagen de marca, la familiaridad de marca y la marca como señal de valor social), las actitudes de marca y las intenciones de compra de la marca, probamos el modelo con una muestra de diferentes categorías de marcas de consumo (local, global y glocal) y analizamos la influencia del tipo de marca en estas relaciones.

Nuestros resultados sugieren que la calidad es el impulsor más importante de la actitud hacia la marca, para cualquier tipo de marca, y que la relación entre la calidad y la actitud hacia la marca, así como entre la actitud hacia la marca y la intención de compra es más débil para una marca glocal que para una local o global.

La investigación proporciona nuevas evidencias empíricas en relación a la influencia del tipo de marca (local, global o glocal) en las asociaciones de marca y en la configuración de las actitudes hacia dichas marcas y en su intención de compra. Nuestro trabajo es de interés también para los directivos de marketing ya que les puede permitir desarrollar mejores estrategias de posicionamiento para marcas locales, globales o glocales.

Marca global, Marca local, Marca glocal, Teoría de las señales, Actitud hacia la marca, Intención de compra

Trabajo de investigación