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This study aims to examine the impact of digital transformation on firms’ value and explore the mediating impact of ESG performance and moderating impact of information interaction.

Data was collected from companies listed on the Shanghai and Shenzhen stock exchange between 2012 and 2020 with 21,488 observational samples, featuring a selection of 3,348 companies. Panel data regression techniques were used to test the mediating role of ESG performance and the moderating role of information interaction.

The study found that digital transformation can improve firms’ ESG performance, which in turn positively affects their value. The firms that engage in more interaction with outsiders benefit more from digital transformation and have a higher value.

This study provides new theoretical insight into improving firms’ value through digital transformation and ESG performance. It is the first to discuss and study the moderating role of information interaction in the relationship between digital transformation and firms’ value.

This paper aims to explore the negative effect of power distance belief (PDB) on do-it-yourself (DIY) preference. It extends previous studies by delving into the underlying mechanism and identifying three theoretically driven moderators that could mitigate this negative effect.

The paper uses secondary data at the country level and conducts three experiments involving participants from the USA and Germany.

The results suggest that the adverse impact of PDB on DIY preference exists through the underlying mechanism of attitude toward customer power. This negative effect can be mitigated when individuals with high PDB focus on status, find themselves in a position of low power or engage in activities within a private consumption setting.

For DIY companies, this study offers crucial insights into the impact of cultural values on consumers’ DIY preferences. By customizing their marketing communications, companies can resonate with high PDB customers more effectively.

This research enhances DIY literature by introducing novel moderators within a theoretical framework, explaining why DIY preference might be low among individuals with high PDB and suggests ways to attenuate this effect.

This chapter reviews research on age-related differences in how consumers process information. Specifically, it discusses many of the effects of aging on the quality and quantity of consumers' sensory, cognitive, and emotional functioning. Some studies suggest that the manner in which elderly (age 65 and over) consumers process information may render them more vulnerable than young and middle-aged consumers to malign persuasion attempts. This chapter reveals that age has selective effects on information processing such that elderly consumers are sometimes more susceptible to marketing influence and sometimes they are less susceptible.

The Metaverse is rapidly reshaping the understanding of tourism, yet the public perception of this new domain remains largely uncharted empirically. This paper aims to build on the technology acceptance model (TAM) and diffusion of innovations theory (DIT) to fill this gap, offering crucial insights that could inform scholars and practitioners in both the tourism and technology sectors.

Using a big-data approach, the authors applied machine learning to scrape comments made by social media users on recent popular posts or videos related to tourism in the Metaverse from three prominent social media platforms. The cleaning process narrowed down 15,461 comments to 2,650, which were then analysed using thematic, emotion and sentiment analysis techniques.

The thematic analysis revealed that virtual tourism evokes a complex range of public beliefs. While many express awe and excitement toward its immersive capabilities, others remain sceptical about authenticity compared to physical travel. Additional themes show people draw comparisons to real-world tourism, discuss technology’s role and note educational value and novelty. However, some comments raise concerns about potential societal harms, exploitation and mental health impacts. Sentiment analysis found over half of the comments positive, though some were negative. Emotion analysis showed contentment, happiness and excitement as most frequent, though sadness, worry and loneliness also featured. Overall, perceptions of Metaverse tourism encompass enthusiasm yet substantial ambivalence.

To the best of the authors’ knowledge, this study is one of the first to comprehensively analyse public discussions on Metaverse tourism. It takes TAM and Rogers’s DIT a step further and provides fresh insights into how these theories can be employed in the emerging field of Metaverse tourism. The themes revealed new conceptual insights into multidimensional factors shaping public beliefs about Metaverse tourism and thus informing scholarly research on virtual interaction and technology acceptance regarding Metaverse tourism. In addition, the results can help tourism providers, platforms and marketers address salient public beliefs and sentiments/attitudes in developing marketing offerings, experiences and communications. Over time, this analysis methodology can be used to track the evolving public perceptions of Metaverse tourism.

This paper aims to measure and unveil the relationship between customer satisfaction and efficiency levels in the most relevant Brazilian airports.

The authors utilize a two-stage network DEA (data envelopment analysis) and AHP (analytic hierarchy process) model as the cornerstones of the study. The first stage of the network productive structure focuses on examining the infrastructure efficiency of the selected airports, while the second stage assesses their business efficiency.

Although the results indicate that infrastructure and business efficiency levels are heterogeneous and widely dispersed across airports, controlling the regression results with different contextual variables suggests that the impact of efficiency levels on customer satisfaction is mediated by a set of socio-economic and demographic (endogenous) and regulatory (exogenous) variables. Furthermore, encouraging investment in airports is necessary to achieve higher infrastructural efficiency and scale efficiency, thereby improving customer satisfaction.

There is a scarcity of studies examining the relationships among customer satisfaction, privatization and airport efficiency, particularly in developing countries like Brazil.

Digital technologies promise efficiency gains and untapped opportunity. Adoptions of digital technology lead firms to rethink their organizational setup and existing practices. This paper aims to present a management innovation-based framework that describes new processes and practices for digital transformation.

This study uses a structural equation modeling approach to test the framework with survey responses from a sample of 901 Taiwanese organizations – both local firms and multinational subsidiaries – to explore the linkages between adoption of digital technologies and digital maturity.

The results reveal that management innovation mediates the relationship between digital technology adoption and digital maturity. Moreover, fast-paced environments have a greater impact of management innovation toward digital maturity than slow-paced environments.

This study adds to emerging research that considers the role of organizational learning in digital transformation efforts. The extent to which organizations link the lessons from direct experience to digital routines through which management innovation is implemented determines to a large extent whether this strategic initiative is optimized by the firm. More generally, the findings point to the mutual importance of digital maturity and experiential learning efforts, and suggest a specific means by which learning processes are mobilized by innovating organizations. This study contributes to digital transformation research by providing insight into how a firm can restart failed transformation initiatives of this kind.

This research offers clarity regarding process supply chain integration through two deliverables: (1) developing six constructs (both integrative mechanisms and integrative practices for internal, customer, and supplier integration); and (2) empirically testing a theoretically grounded supply chain process model using three distinct datasets (internal, customer, and supplier integration).

The construct development procedure involved a continuous improvement cycle for identifying 1,450 items previously used to measure internal, customer, and/or supplier integration constructs; classifying the items into one of six categories; and refining the instruments based on pilot data and peer feedback. Three surveys (targeted key informants based on their specialized knowledge on internal, customer, or supplier integration) were disseminated for evaluating the measurement instruments and testing the theoretically grounded supply chain management process models, by performing the Covariance-Based Structural Equation Modeling (CB-SEM) analysis technique.

The findings revealed consistencies across all three dimensions of supply chain integration where integrative mechanisms and integrative practices are distinct constructs; integrative mechanisms make it possible for integrative practices and supply chain orientation to occur in a supply chain company; and integrative practices and supply chain orientation improve business performance.

Our study contributes to answering how process-oriented supply chain management occurs, responding to calls for research in the supply chain management discipline and advancing theory development around supply chain integration. The theoretical and managerial contributions of developing six constructs and testing three supply chain management process models relate to identifying the specific aspects of supply chain integration that improves business performance. The three tested models also reveal both direct and mediating effects of integrative practices and supply chain orientation, which contributes to the practical understanding of effective supply chain management implementation.

Competitiveness is an important personality trait that has been studied in various disciplines and has been shown to predict critical work outcomes at the individual level. Despite this, the role of competitiveness in groups and teams has received scant attention amongst organizational researchers. Aiming to promote future research on the role of competitiveness as both an adaptive and maladaptive trait – particularly in the context of work – the authors review competitiveness and its effects on individual and team stress and Well-Being, giving special attention to the processes of cohesion and conflict and situational moderators. The authors illustrate a dynamic multilevel model of individual and team difference factors, competitive processes, and individual and team outcomes to highlight competitiveness as a consequential occupational stressor. Furthermore, the authors discuss the feedback loops that inform the different factors, highlight important avenues for future research, and offer practical solutions for managers to reduce unhealthy competition.

This study aims to examine member attachment in hybrid identity organizations (HIOs), assessing the distinct effects of identification with respect to two elements (normative and utilitarian) of a hybrid’s identity. Specifically, the author explored how such dual identifications influence commitment and exit/voice/loyalty.

To distinguish the effects of the two identities, the author used the mechanism of identity congruence – the gap between identity perceptions and expectations – as an analog of identification. The models of identity gap, commitment and exit/voice/loyalty were examined via a survey of agricultural cooperative members.

Both the social and economic forms of identity gap were significantly related to commitment and exit/voice/loyalty. In addition, commitment mediated the relationship between identity gap and exit/voice/loyalty.

The results demonstrate the distinctive effects of the dual identities and reinforce the importance of delineating such differences when examining identification in hybrid organizations.

Managers should recognize the duality inherent in hybrid organizational identification and understand the potential for different outcomes stemming from the separate identities.

This study represents the first quantitative examination of an integrated model of dual identification and commitment in HIOs. It is also unique in exploring the exit/voice/loyalty framework as a consequent of identification.

Drawing on the personalization–privacy paradox and guided by means–end analysis, this study explores how consumers balance their concerns for privacy and the benefits of smart home device personalization and the role that trust plays in the process. More specifically, this study aims to investigate how perceptions of smart device personalization and privacy concerns are shaped by consumers’ experiences and the role of trust in the deliberation process.

In-depth interviews were conducted across diverse demographic groups of smart device users to shed light on the balancing act between personalization and privacy.

The study found that product experience, ownership type, perceived value of convenience and control and quality of life via “smart things” are key motivators for product usage. The benefits of tailored recommendations and high relevance are balanced against the risks of echo chamber effects and loss of control. The results also show the role of active involvement in the privacy calculus and trust level. The study points to the significance of an ecosystem-based service/business model in gaining consumer confidence when they balance between personalization and privacy.

Although many studies have explored trust, privacy concerns and personalization in an artificial intelligence (AI)-related context, few have addressed trust in the context of both smart devices and the personalization–privacy paradox. As such, this study adds to the existing literature by incorporating the concept of trust and addressing both privacy concerns and personalization in the AI context.