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The purpose of the paper is to propose a shift from the ideal of immersion to a practice of “committed localism” in the ethnographic study of relational work in the post-bureaucratic and service-based economy.

The paper is based on ethnographic fieldwork following management consultancy projects in a hospital and a manufacturing company in Denmark. The approach was predicated on committed attention to the everyday of consultancy work activities and associated relational dynamics. This involved being present at the client sites, observing and listening in concrete situations of interaction and engaging in conversations with the multiple actors involved, both external consultants and members of client organisations.

The paper shows how “committed localism” was practiced in the ethnographic study of management consultancy as it is relationally accomplished in and through concrete situations of interaction between consultants and different actors in client organizations and the associated meaning production of the involved actors.

The paper develops the notion of “committed localism”, originally introduced by George Marcus, into a methodological concept to challenge the conventional ideal of immersion as the hallmark of “proper” ethnography. Such a shift is particularly pertinent for the ethnographic study of relational processes involving multiple actors occupying different positions in the temporary social spaces of contemporary workplaces.

This paper aimed to test a proposed framework highlighting strategic green marketing initiatives and how they drive new technology implementation towards green corporate performance, underpinned by institutional isomorphism.

The study used a quantitative method and convenience sampling approach in gathering data using adapted questionnaires to solicit first-hand information from 225 employees of small and medium-sized enterprises (SMEs) in the tourism and hospitality sector underpinned by the theory of institutional isomorphism.

The study shows that green communication and green strategy alignment have significant predictive effects on new technology implementation. Cultural isomorphism significantly moderated the effects of implementing new technology (i.e. green communication and strategy alignment). In addition, “new technology implementation had a significant predictive effect on green corporate performance”. Meanwhile, the moderation effect of “green creative behaviour on the new technology-green corporate performance dyad was positive but insignificant.”

The study’s novel framework confirms how green communication strategy and green strategy alignment complement cultural isomorphism to explain the impact of new technology implementation on green corporate performance, underpinned by institutional isomorphism.

Green practices are essential for sustainability. However, it is challenging due to the socioeconomic and environmental concerns. Similarly, after the induced SDG-12 and SDG-13 by United Nations, the pressure groups forced manufacturers to consider sustainability. Therefore, this research aims to examine the sustainability through multifaceted green functions in manufacturing is examined.

Data were collected from 293 supply chain professionals of manufacturers from a developing economy. Hypotheses were tested through a quantitative method using partial least squares-structural equation modeling with the help of SmartPLS version 4 to validate the measurement model.

The findings revealed that all six direct hypotheses were supported. However, out of four hypotheses of mediation, one was not supported. Besides, a sequential mediation of green supply chain environmental cooperation and green human resource management was supported. The findings illustrated that green supply chain practices positively influence all used variables.

This research provides practical insight to practitioners to implement green practices in their supply chain networks for social, economic and environmental sustainability and compliance with SDG-12 and SDG-13. The sustainability was validated in a higher-order construct (HOC) (formative), including sequential mediation in the model with the support of resource dependency theory. Therefore, this study adds substantial literature to the existing body of knowledge.

This research provides an interdisciplinary framework by adding knowledge to the Resource Dependency Theory to address Sustainable Development Goals-12 (SDGs) and SDG-13. Likewise, this research provides an extension towards the body of knowledge on the issue, which can be used in future research and critical examinations for cleaner and sustainable production. So far, in Pakistan, no research has looked at the function of these integrated variables in the manufacturing industry with a diligent focus on sustainability as it was validated in a higher-order construct (formative) with one sequential mediation, which makes this research unique.

The purpose of the study is twofold. First, it aims to analyse the impact of green human resource management (GHRM) on green employee creativity. Second, it further explores the mediating role of personal moral norms between GHRM and green employee creativity.

Through multi-source and multi-level analysis, data was collected from 46 managers and 315 employees to investigate the role of personal moral norms in GHRM and green employee creativity. For data analysis, multi-level structural equation modelling was applied using Mplus software version 8.6.

Positive and significant effects were observed between GHRM, personal moral norms and green employee creativity. However, personal moral norms partially mediated the relationship between GHRM and green employee creativity.

The study is first in itself to explore the interplay between the variables in a multi-level manner. The present study aims at addressing the urgent call by the United Nations regarding Sustainable Development Goals (SDGs) for three key SDGs, focussing on decent work and economic growth (SDG 8), boosting industry, innovation and infrastructure (SDG 9) and supporting climate action (SDG 12).

Current events such as the #metoo and #timesup movements have ushered in an era of heightened awareness of sexist organizational climate. Increasingly, supporters have called for top-down changes, demanding that organizations embrace a culture of accountability. Accordingly, the current study proposed and investigated the concept of benevolently sexist organizational climate and explored the impact on women's state self-esteem, while testing for the potential moderating effects of power and gender.

The current experimental study utilized a video video-based manipulation to introduce benevolently sexist organizational climate with a 2 (content of communication) x 2 (gender of communicator) x 2 (status of communicator) between-subjects design. The hypotheses were tested using an analysis of variance moderation model, based on a sample of 652 women.

Results indicated a significant two-way interaction between benevolently sexist organizational climate and power on self-esteem. Specifically, results suggested that benevolently sexist organizational climates have a greater negative impact on women's self-esteem when a supervisor communicates the information on the climate as opposed to a coworker.

Benevolently sexist climate had a deleterious impact on women's organizational outcomes especially when communicated by a supervisor. These findings can be used for guidance on the development of training and interventions targeted at mitigating the prevalence of benevolently sexist workplace climate.

This study was the first to propose the concept of a benevolently sexist organizational climate. Additionally, the study demonstrated the negative impact of a benevolently sexist organizational climate on women's state self-esteem providing important implications for organizations. Further theoretical and practical implications are discussed.

This paper aims to concentrate on recent innovations in flexible wearable sensor technology tailored for monitoring vital signals within the contexts of wearable sensors and systems developed specifically for monitoring health and fitness metrics.

In recent decades, wearable sensors for monitoring vital signals in sports and health have advanced greatly. Vital signals include electrocardiogram, electroencephalogram, electromyography, inertial data, body motions, cardiac rate and bodily fluids like blood and sweating, making them a good choice for sensing devices.

This report reviewed reputable journal articles on wearable sensors for vital signal monitoring, focusing on multimode and integrated multi-dimensional capabilities like structure, accuracy and nature of the devices, which may offer a more versatile and comprehensive solution.

The paper provides essential information on the present obstacles and challenges in this domain and provide a glimpse into the future directions of wearable sensors for the detection of these crucial signals. Importantly, it is evident that the integration of modern fabricating techniques, stretchable electronic devices, the Internet of Things and the application of artificial intelligence algorithms has significantly improved the capacity to efficiently monitor and leverage these signals for human health monitoring, including disease prediction.