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Teams have become the dominant mode of work in contemporary organizations and critical for successful completion of various tasks, projects and overall organizational effectiveness. Organizational factors such as organizational culture have often been investigated as contributing to team performance since it is difficult to develop and engage teams. But the effect of (organizational) team culture on team effectiveness (TE) has received less support. Therefore, this paper examines how factors such as organization team culture (OTC) affect different dimensions of TE in a power sector organization which has undergone a business transformation resulting in adoption of team-based work structures.

Survey instrument capturing the variables of organizational team culture and TE was administered to mid-level managers in a power sector organization in India. Structural equation modeling (SEM) was used to test the model fit for the proposed model.

A key finding of the research was that team culture (OTC dimensions) (i.e. participation, communication, trust, training inputs and support and support for teamwork) contribute to TE.

OTC and its impact on creating effective teams, particularly in the power sector, is an original contribution of this research. The OTC and TE framework may be used to diagnose team weaknesses and concerns and to design effective HR interventions.

This study aims to identify and review research articles to understand the conceptualization of employee engagement (EE) in a remote working environment. Specifically, the aim is to explore the antecedents impacting remote workers’ engagement.

A systematic literature review was conducted, encompassing empirical studies sourced from EBSCO, Emerald and Gale databases. Studies published in peer-reviewed journals between 2013 and 2023 covering countries in the Organization for Economic Co-operation and Development (OECD) were included. Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines were followed to capture the review process.

A total of 25 empirical studies published across 18 journals were synthesized, with the results being reported in terms of three research objectives. The researchers identified that individual, organizational/job resources and organizational/job demands are the three main antecedents affecting EE in remote working environments.

This study can serve as an important source of information for academics and practitioners as well as postulate new avenues for the future research. While the Job Demands-Resources model remains relevant in specifying demands and resources as antecedents of workforce engagement, technological antecedents gain prominence as additional factors contribute to the engagement of remote workforce.

This article studies the shifting landscape of EE with the rise of remote working and the need to gain a better understanding of how to keep remote workers engaged.

The pandemic has necessitated employees to work virtually due to mandatory work-from-home setup. Since every employee is not comfortable working online owing to their individual differences which impact performance, thus, it is essential to identify individual characteristics governing performance. As per conventional theories, cognition and metacognition have a significant impact on employee performance, and the key to performance in a collaborative online environment also is metacognition. However, this has been scarcely explored in the context of virtual workspace. This study, therefore, empirically investigates the influence of metacognition and its sub-domains on employees' virtual performance given the challenges they face in a virtual work environment.

The cross-sectional study used a purposive sampling technique for data collection. Data collected from 534 professionals with high and low levels of metacognitive ability is analysed using univariate analysis to ascertain whether metacognitive ability helps employees deal with challenges associated with virtual work environments and perform better.

Results confirm a significant relationship between the level of metacognitive ability and virtual performance. Further, the findings also confirm the interaction effect of the level of metacognitive ability and challenge of maintaining work and non-work boundaries and the need for the physical presence of team member/s in predicting virtual performance.

This study is the first empirical attempt to examine the linkage between metacognitive ability and performance among professionals in the context of post-pandemic virtual work environment and challenges.

This study aims to discuss what prompted this organization to embark on the journey of transformational change, challenges faced strategies adopted to overcome challenges, leadership role and outcomes.

The descriptive approach is used to comprehend the transformational change process in this gigantic public sector undertaking (PSU). To have an idea of the effectiveness of the change process, the pre- and post-change performance of the company was taken into account through collection and analysis of physical and financial parameters. However, focus of this paper is concentrated on the transformation process and its chronological sequence only. Human resource productivity trend and organization development interventions adopted over the years were also observed along with conducting a sentiment analysis of the employees who lived through this entire change process in the organization.

The case study describes how this Indian PSU went through the process of transformational change management and leaves the reader to assess the degree and extent of success of the approach and strategy of the company in this regard. There may be many what-if situations and contingencies in this case for readers to explore for suggestions and solutions and finding new possibilities.

Change management is not a new exercise for the Indian corporate sector. What makes this case unique is the pro-active action initiated by a traditional high-performing and well-protected PSU to anticipate the future challenges and initiate action to overcome these. Change agents must “rewire” the plane while it is flying if the organization hopes to survive and perhaps prosper in the future. This case study is a first-hand account of the change process happening in a gigantic Indian PSU with Maharatna status.

The purpose of this paper is to review the literature on customer experience to develop a better understanding of the concept and propose a research agenda.

The paper is based on a thorough review of 69 full-text articles, 12 books and one published dissertation related to customer experience.

The review describes the relevance of experiential perspective, service experience and customer experience to attract, delight and retain customers. Customer experience is regarded as a holistic interactive process, facilitated through cognitive and emotional clues, moderated by customer and contextual characteristics, resulting into unique and pleasurable/un-pleasurable memories. The study provides a deeper understanding of the concept and research issues for customer experience.

It provides important insights into the emergence, development, management and measurement of customer experience-related issues for future research.

Customer experience needs to be considered and managed as a holistic strategic process for creating customer value, differentiation, customer satisfaction, loyalty and competitive advantage.

The study contributes to the understanding of customer experience and research agenda based on a thorough review of literature spanning 25 years.

This study aims to analyze driver risks in the driving environment. A complete analysis of context aware assistive driving techniques. Context awareness in assistive driving by probabilistic modeling techniques. Advanced techniques using Spatio-temporal techniques, computer vision and deep learning techniques.

Autonomous vehicles have been aimed to increase driver safety by introducing vehicle control from the driver to Advanced Driver Assistance Systems (ADAS). The core objective of these systems is to cut down on road accidents by helping the user in various ways. Early anticipation of a particular action would give a prior benefit to the driver to successfully handle the dangers on the road. In this paper, the advancements that have taken place in the use of multi-modal machine learning for assistive driving systems are surveyed. The aim is to help elucidate the recent progress and techniques in the field while also identifying the scope for further research and improvement. The authors take an overview of context-aware driver assistance systems that alert drivers in case of maneuvers by taking advantage of multi-modal human processing to better safety and drivability.

There has been a huge improvement and investment in ADAS being a key concept for road safety. In such applications, data is processed and information is extracted from multiple data sources, thus requiring training of machine learning algorithms in a multi-modal style. The domain is fast gaining traction owing to its applications across multiple disciplines with crucial gains.

The research is focused on deep learning and computer vision-based techniques to generate a context for assistive driving and it would definitely adopt by the ADAS manufacturers.

As context-aware assistive driving would work in real-time and it would save the lives of many drivers, pedestrians.

This paper provides an understanding of context-aware deep learning frameworks for assistive driving. The research is mainly focused on deep learning and computer vision-based techniques to generate a context for assistive driving. It incorporates the latest state-of-the-art techniques using suitable driving context and the driver is alerted. Many automobile manufacturing companies and researchers would refer to this study for their enhancements.

The purpose of this review is to examine the influence of music on consumption experience and explore the relationships between musical variables and consumer responses in the context of retailing.

The paper is based on the review of studies conducted over last 30 years, empirical and conceptual, dealing with a large number of music‐related variables and their impact on various dimensions of consumption experience.

The studies report that music influences consumption experience at cognitive, emotional, and behavioural levels, specifically with regard to attitudes and perceptions, time and money spend, and moods and feelings, in retail experience. The influence of music is moderated by customer and store profiles, purchase timings, and other ambience factors.

The study provides important insights into critical issues related to influence of music, for future research.

The research brings out important issues for designing musical environment in the retail stores to influence shopping experience and consumer responses.

Based on a critical review of important studies, the present paper proposes a framework to understand the effect of music on consumption experience in retail stores.

The purpose of this paper is to investigate, from a thorough review of the literature, the role of metaverse-based quality 4.0 (MV-based Q4.0) in achieving manufacturing resilience (MFGRES). Based on a categorization of MV-based Q4.0 enabler technologies and MFGRES antecedents, the paper provides a conceptual framework depicting the relationship between both areas while exploring existing knowledge in current literature.

The paper is structured as a comprehensive systematic literature review (SLR) at the intersection of MV-based Q4.0 and MFGRES fields. From the Scopus database up to 2023, a final sample of 182 papers is selected based on the inclusion/exclusion criteria that shape the knowledge base of the research.

In light of the classification of reviewed papers, the findings show that artificial intelligence is especially well-suited to enhancing MFGRES. Transparency and flexibility are the resilience enablers that gain most from the implementation of MV-based Q4.0. Through analysis and synthesis of the literature, the study reveals the lack of an integrated approach combining both MV-based Q4.0 and MFGRES. This is particularly clear during disruptions.

This study has a significant impact on managers and businesses. It also advances knowledge of the importance of MV-based Q4.0 in achieving MFGRES and gaining its full rewards.

This paper makes significant recommendations for academics, particularly those who are interested in the metaverse concept within MFGRES. The study also helps managers by illuminating a key area to concentrate on for the improvement of MFGRES within their organizations. In light of this, future research directions are suggested.

This research investigates the effect of green initiatives on sustainable luxury brand purchasing intentions, employing sustainable involvement and attitude as mediators and brand experience as a moderator; the stimulus-organism-behavior-consequence model is utilized to understand this phenomenon comprehensively.

We collected 503 survey responses from individuals who had bought sustainable luxury products via purposive sampling. Subsequently, we employed structural equation modeling and the PROCESS macro to analyze the data collected.

The results revealed that (1) green initiatives had a positive influence on sustainable involvement, attitude and sustainable purchasing intention; additionally, (2) sustainable involvement and attitude had a positive mediation relationship between the green initiatives and attitude, sustainable purchasing intention; likewise, attitude had a positive mediation relationship among them; (3) sustainable purchasing intention substantially affects customer word of mouth and satisfaction and (4) brand experience significantly moderates the association between sustainable purchasing intention, word-of-mouth and satisfaction.

The current study investigates consumer sustainable behavior, with the rising importance of sustainable luxury products and increasing consumer awareness of sustainability. Notably, this study introduces a fresh application of the stimulus-organism-behavior-consequences (SOBC) framework, marking a groundbreaking approach in sustainable luxury brand research.