Search results

Given the widespread adoption of empowerment in the workplace, increasing research has investigated the influences of empowering leadership. However, previous research has found confounding effects of it. This study aims to examine how and when empowering leadership exhibits “double-edged sword” effects on followers’ work outcomes.

The authors used a three-wave survey with a final sample of 215 full-time employees to test the research model.

The results indicate that followers’ role-breadth self-efficacy (RBSE) interacted with empowering leadership to predict their hindrance-related stress, subsequently influencing their turnover intention. Specifically, empowering leadership is found to elicit hindrance-related stress among followers with low RBSE. Furthermore, empowering leadership indirectly affects turnover intention by eliciting hindrance-related stress only among followers with low RBSE.

This study broadens the exploration of the “dark side” of empowering leadership, offering a more nuanced explanation of how it can lead to both beneficial and detrimental outcomes. It refines the understanding of empowering leadership’s effectiveness by highlighting the role of followers’ RBSE rather than focusing solely on the degree of empowerment. In addition, by contributing to the stress theory, this research demonstrates how individual differences influence followers’ cognitive appraisal of stress, shaping distinct stress experiences and driving the adoption of varying work-related coping strategies.

This study aims to propose mindfulness as a key factor in merchants’ adoption of mobile payments through the trust and perceived value pathways in an unorganized sector.

Data were collected physically via a structured questionnaire from a random sample of 350 merchants from the unorganized retail sector in India. Partial least squares-based structural equation modeling was used to analyze the data.

Mindfulness plays a key role in the formation of trust and perceived value, which further influences merchants’ intentions to adopt mobile payments. Furthermore, moderating effects of technology anxiety and skepticism were also observed.

To the best of the authors’ knowledge, this study is the first to illustrate mindfulness in merchants of the unorganized sector in adopting mobile payments to influence the adoption intentions of mobile payments in emerging markets.

The present research aims to explore the influence of enterprise social media (ESM) features on employee agility through knowledge sharing and hiding. ESM strain was taken as a moderator in the association among knowledge sharing, knowledge hiding and employee agility. Communication visibility theory is used to underpin the hypothesized research model.

Data is collected from 374 Chinese employees working in different companies. A structural equation modeling (SEM) is applied using AMOS software 21.0.

Findings illustrate that ESM features namely analysis, tracking and communication are significantly connected to knowledge sharing and negatively to knowledge hiding. Knowledge sharing is significantly related to employee agility while knowledge hiding is negatively linked to employee agility. Further, ESM strain strengthens the negative connection between knowledge hiding and employee agility. However, ESM strain has an insignificant moderating effect in the connection between knowledge sharing and employee agility.

The current research has practical implications for ESM users and ESM-enabled organizations. For individuals who use ESM to promote knowledge within an organization, this study highlights the important functioning of ESM features that include analysis, tracking and communication. For managers, this study suggests the use of ESM features to promote knowledge sharing and inhibit knowledge hiding.

The current research investigates how ESM features are associated with employee agility in the workplace. This study proposes that knowledge sharing and knowledge hiding are the mediators of the effect path between ESM features and employee agility. Moreover, the present study extends to ESM literature by highlighting the moderating role of ESM strain using communication visibility theory as a theoretical lens. Lastly, this study quantifies the benefits of ESM features to help organizations train agile employees.

This study aims to empirically examine the role of privacy, security, trust and autonomy in Millennials’ continued use of online dating applications. Emerging markets have been famous for their rapid modernization, growth and cultural shifts. Yet, consumer worries about online dating consumption need to be addressed in the literature through a better understanding of their behavioural intentions. This study examines the interplay of the underlying variables by testing a conceptual framework grounded on the theory of reasoned action (TRA), the self-determination theory (SDT) and the information systems continuance theory (ISCT) with regard to an emerging market.

A cross-sectional and quantitative research design is adopted. Using a well-designed structured questionnaire adapted from established scales, data was collected through a survey featuring 332 substantive responses from actively involved Millennial users of online dating apps in India. The data was analysed using confirmatory factor analysis (CFA) and structural equation modelling (SEM) through IBM SPSS AMOS (Analysis of Moment Structures) 24.0 to provide evidence of the reliability and validity of constructs alongside testing the hypothesis in the proposed model. Furthermore, Preacher and Hayes’ (2004) approach is used to explore mediation effects.

The results show that autonomy and trust positively affect the continued use of online dating apps. The study further reveals that autonomous behaviour motivates Millennials to use online dating apps, overriding their concerns for privacy and security. Furthermore, the results indicate that trust fully mediates the relationship between concern for privacy, perceived security and continued usage intention. Therefore, trust affects users’ intentions to continue using online dating apps as it bridges the effect of users’ concern for privacy and the perceived security in the online dating platform, making these dimensions relevant as a whole.

This study provides critical insights into the theory and practice. The findings demonstrate that autonomy is more significant in motivating Millennials to use online dating apps than concerns about privacy and perceptions of security. In addition, trust plays a crucial role in mediating the relationship between these variables. Therefore, app developers, app marketers and app stores can use the findings to motivate Millennials to continue using their platforms by encouraging a sense of freedom and a better inner self, fostering engagement and conveying user trust.

Several studies have investigated the pre-adoption behaviour of users of online dating apps, and little attention has been paid to continuance usage. This study provides a unique theoretical research model and perspective for online dating apps that uncovers the role of concern for privacy, perceived security and trust that affect post-adoption behaviour by integrating the TRA, SDT and ISCT. This integration offers a more futuristic and refined perspective on human behaviour by considering both cognitive and motivational aspects. The study establishes that autonomy outweighs concern for privacy and perceived security.

This paper aims to examine the relationship between environmental, social and governance (ESG) performance and text-based corporate innovation based on a sample of India’s ESG-disclosed companies from financial year 2011–2012 to 2021–2022. Further, it endeavors to investigate the moderating role of heightened climate policy uncertainty (CPU) in this relationship.

To verify these hypotheses, the authors first construct a corporate innovation index for India using a sophisticated natural language processing model on each firm-year’s management discussion and analysis reports. Next, the authors use a panel fixed effects model to examine how ESG performance impacts corporate innovation and its moderating and mediating components.

Empirical evidence suggests higher ESG performance bolsters text-based corporate innovation. After addressing endogeneity issues with the system GMM estimator and two-stage least square IV, incorporating additional control variables and using alternative innovation measurement, the baseline results remain unchanged. Next, the authors find this link is mediated by reducing information asymmetry, financial constraints and managerial myopia. The authors also observe that increased CPU favorably moderates the ESG-innovation nexus. Additionally, the heterogeneity research shows that ESG only positively impacts innovation in specific industries and firms in their growth and mature life cycle phases.

The results demonstrate that sustainable and ethical business practices can foster corporate innovation. Thus, this study may provide valuable insight for investors, managers and policymakers.

To the best of the authors’ knowledge, this is the first study to examine the relationship between ESG performance and text-based corporate innovation using a machine learning model.

This study aims to provide a comprehensive overview of thin-film temperature sensors (TTS), focusing on the interplay between material properties and fabrication techniques. It evaluates the current state of the art, addressing both low- and high-temperature sensors, and explores the potential applications across various fields. The study also identifies challenges and highlights emerging trends that may shape the future of this technology.

This study systematically examines existing literature on TTS, categorizing the materials and fabrication methods used. The study compares the performance metrics of different materials, addresses the challenges encountered in thin-film sensors and reviews the case studies to identify successful applications. Emerging trends and future directions are also analyzed.

This study finds that TTS are integral to various advanced technologies, particularly in high-performance and specialized applications. However, their development is constrained by challenges such as limited operational range, material degradation, fabrication complexities and long-term stability. The integration of nanostructured materials and the advancement of wireless, self-powered and multifunctional sensors are poised to drive significant advancements in this field.

This study offers a unique perspective by bridging the gap between material science and application engineering in TTS. By critically analyzing both established and emerging technologies, the study provides valuable insights into the current state of the field and proposes pathways for future innovation in terms of interdisciplinary approaches. The focus on emerging trends and multifunctional applications sets this review apart from existing literature.

With an emphasis on the moderating impact of trust, this study examines determinants influencing the purchase intentions of young consumers in augmented reality (AR) shopping platforms. This research study aims to pinpoint essential elements, including the enjoyment dimensions (i.e. entertainment, visual appeal and hedonic component) and practicality dimensions [i.e. informativeness, navigation and perceived usefulness (PU)], that are imperative in influencing young consumers’ purchase intentions in AR-based shopping platforms.

The present study used a quantitative approach grounded in the stimulus-organism-response model and the extended technology acceptance model, which analysed purchase intention among the youth using AR shopping platforms. One hundred seventy-two samples were gathered through self-administered questionnaires and underwent partial least squares structural equation modelling analysis to predict the relationships between the proposed variables.

The results of the current study suggested the independent variables (e.g. entertainment, visual appeal, informativeness and navigation) had a significant impact on hedonic components and PU. Furthermore, both hedonic components and PU had a significant and positive influence on purchase intention. Nevertheless, it is noteworthy that hedonic components and PU in relation to purchase intention were not moderated by trust.

The developed research framework is significant for understanding the perceptions of shopping behaviour among young consumers in the Borneo region of Malaysia. This is one of the few studies that explored the interplay between enjoyment and practicality’s dimensions on purchase intention via AR shopping platforms in the less explored region of Malaysia. Hence, this study plays a pivotal role in contributing to the existing marketing and technology management literature. Moreover, it holds practical importance for business operators and marketers as it aids in decision-making and strategic planning for the future direction of businesses in the young consumer market.

Fall accidents can cause casualties and economic losses in the construction industry. Fall portents, such as loss of balance (LOB) and sudden sways, can result in fatal, nonfatal or attempted fall accidents. All of them are worthy of studying to take measures to prevent future accidents. Detecting fall portents can proactively and comprehensively help managers assess the risk to workers as well as in the construction environment and further prevent fall accidents.

This study focused on the postures of workers and aimed to directly detect fall portents using a computer vision (CV)-based noncontact approach. Firstly, a joint coordinate matrix generated from a three-dimensional pose estimation model is employed, and then the matrix is preprocessed by principal component analysis, K-means and pre-experiments. Finally, a modified fusion K-nearest neighbor-based machine learning model is built to fuse information from the x, y and z axes and output the worker's pose status into three stages.

The proposed model can output the worker's pose status into three stages (steady–unsteady–fallen) and provide corresponding confidence probabilities for each category. Experiments conducted to evaluate the approach show that the model accuracy reaches 85.02% with threshold-based postprocessing. The proposed fall-portent detection approach can extract the fall risk of workers in the both pre- and post-event phases based on noncontact approach.

First, three-dimensional (3D) pose estimation needs sufficient information, which means it may not perform well when applied in complicated environments or when the shooting distance is extremely large. Second, solely focusing on fall-related factors may not be comprehensive enough. Future studies can incorporate the results of this research as an indicator into the risk assessment system to achieve a more comprehensive and accurate evaluation of worker and site risk.

The proposed machine learning model determines whether the worker is in a status of steady, unsteady or fallen using a CV-based approach. From the perspective of construction management, when detecting fall-related actions on construction sites, the noncontact approach based on CV has irreplaceable advantages of no interruption to workers and low cost. It can make use of the surveillance cameras on construction sites to recognize both preceding events and happened accidents. The detection of fall portents can help worker risk assessment and safety management.

Existing studies using sensor-based approaches are high-cost and invasive for construction workers, and others using CV-based approaches either oversimplify by binary classification of the non-entire fall process or indirectly achieve fall-portent detection. Instead, this study aims to detect fall portents directly by worker's posture and divide the entire fall process into three stages using a CV-based noncontact approach. It can help managers carry out more comprehensive risk assessment and develop preventive measures.

Customer value co-creation in robots-mediated hospitality encounters involves active collaboration between customers and robots. In such encounters, robot capabilities, which are their functionalities or operational competences, and robot personalities, which are their interactive behaviors and communication styles, play a key role in enhancing customer value co-creation. The purpose of this study is to draw on service dominant logic to examine the role of robot capabilities and personalities in determining customer value co-creation and service satisfaction.

The authors adopted a mixed-methods research approach. A netnographic analysis was conducted on online customer reviews for robotic hotels and restaurants to identify key robot capabilities that shaped the customer experiences. Following this, a quantitative study (survey) was conducted to investigate the effects of robot capabilities and personalities on customer value co-creation and service satisfaction.

From the netnographic analysis, the authors identified cognitive, technical, interactional, emotional, personalization and autonomous capabilities as key robot capabilities influencing customer experiences. The findings of the follow-up empirical study showed that the higher-order robot capabilities construct positively influences customer value co-creation, which, in turn, affects service satisfaction. Furthermore, extroversion robot personality positively moderates this relationship, such that robots with high levels of capabilities result in greater value co-creation when robots possess extroversion personalities compared to introversion personalities.

This study advances the understanding of robot-mediated encounters by emphasizing the role of robot capabilities and personalities as crucial factors for effective customer value co-creation in the hospitality sector. Furthermore, it offers actionable insights for hospitality providers in selection of robots with key capabilities and personalities for enhancing customer satisfaction and successful value co-creation.

While previous research has predominantly focused on customer acceptance of and interaction with robots in the hospitality settings, the present study examined how and when service robots facilitate value co-creation with customers. Specifically, this study explores robot capabilities and personalities in shaping customer value co-creation perceptions. A few recent studies that examined customer-robot interactions have considered specific robot capabilities. However, given that hospitality services are experiential in nature and involve various tasks, a broad range of robot capabilities should be considered for a comprehensive understanding of the customer value co-creation process. By addressing this gap, the present study offers novel insights into what (capabilities) and how (extraversion personality) service robots facilitate customers in value co-creation and satisfaction.

This study aims to investigate the challenges associated with the integration and implementation of blockchain technology in the education sector. The primary objective is to identify and categorize these challenges using the Technology-Organization-Environment (TOE) framework, shedding light on the technological, organizational and environmental factors that influence the adoption of blockchain solutions in educational settings.

A comprehensive literature review was conducted across multiple databases including Science Direct, Web of Science, Springer, IEEE Xplore and MDPI. The selected articles were analyzed based on the TOE framework to categorize challenges from the technological, organizational and environmental perspectives. The methodology involves a systematic search, analysis and synthesis of relevant articles to provide an in-depth understanding of the challenges hindering blockchain adoption in education.

This review revealed a predominant focus on technological challenges, emphasizing scalability issues, integration complexities, security and privacy concerns and data immutability. However, there is a notable research gap in the exploration of organizational and environmental challenges. The scarcity of studies addressing these perspectives may impact acceptance and resistance to blockchain adoption in educational settings.

This study contributes to the literature by systematically categorizing and analyzing the challenges associated with blockchain implementation in education using the TOE framework. It identifies the need for further research on organizational and environmental aspects, addressing a significant gap in the current scholarship on blockchain adoption in educational institutions.