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Examines how perceived knowledge quality influences researchers' satisfaction with academic social media (ASM) site use, perceived learning from use, and loyalty toward the site.

Built upon the theoretical grounding of the information system success framework, it was hypothesized that satisfaction, perceived learning, and loyal behavior toward an ASM site are all functions of the perceived quality of knowledge obtained. Data were collected by online survey from 348 researchers registered on ResearchGate and subjected to SmartPLS structural equation modeling, bootstrapping, and blindfolding.

The hypothesized relationships were supported. Perceived knowledge quality significantly influences researchers' satisfaction with ASM site use, and satisfaction affects perceived learning and researchers' loyalty with the ASM site.

Identification of the relationship between perceived knowledge quality and ASM site success extends the study of ASM sites from description of usage patterns to understanding the effect of content quality on important outcomes of use.

ASM sites rely on the quality of knowledge contributed by their members for satisfaction, loyalty, and perceptions of value. The ongoing success of an ASM requires directed attention to quality knowledge provision.

This paper contributes a simplified DeLone & McLean information system success framework for studies of content quality. It also provides fresh insights into ASM site usage through a focus on the role of perceived knowledge quality in forming satisfaction, learning, and loyalty.

Grounded in the Social Exchange theory, this study focuses on the perception of digital leadership and innovative work behaviors. It also examines the complex effects of leader-member exchange, learning orientation, and innovation capabilities.

We undertake a quantitative approach using a two-wave longitudinal field survey of 440 employees and managers from various backgrounds working in the automobile industry in France.

The findings based on Structural Equation Modeling reveal that the perception of digital leadership leads to innovative work behavior while leader-member exchange moderates between the perception of digital leadership and learning orientation. The findings also support the mediating roles of learning orientation and innovation capabilities.

The study contributes important policy suggestions, raises queries for additional investigation, and suggests theoretical and practical implications for leadership and organizational environmental factors to foster innovative work behaviors in organizations.

The purpose of this paper is to identify the unique d

mensions associated with knowledge quality (KQ) based on students’ perception in an educational institution.

Purposive sampling was used to select students who were active users of the electronic-Learning (eLearning) system at two faculties in a single university. The qualitative data gathering employed an unstructured open-ended questionnaire distributed to the 52 selected participants.

The qualitative findings unearth the students’ perspective about quality of knowledge gained from content used in online courses. In total, 34 underlying sub-dimensions of KQ emerged, which were categorized into five KQ dimensions: intrinsic KQ, contextual KQ, representational KQ, accessible KQ, and actionable KQ.

The findings provide an insight to educators to consider KQ dimensions in providing quality knowledge to students in an eLearning environment.

Previous studies have used information quality dimensions to measure KQ because of a lack of conceptualization of KQ that leads to difficulties in operationalizing this construct. In this study, a conceptual and operational definition of KQ, in the context of eLearning, is proposed based on grounded data from students participating in an online learning environment.

Technology has emerged as a leading tool to address concerns regarding climate change in the recent era. As a result, the green mobile application – Ant Forest – was developed, and it has considerable potential to reduce negative environmental impacts by encouraging its users to become involved in eco-friendly activities. Ant Forest is a novel unexplored green mobile gaming phenomenon. To address this gap, this study explores the influence of user experience (cognitive experience and affective experience), personal attributes (affection and altruism) and motivational factors in game play (reward for activities and self-promotion) on the continuation intention toward Ant Forest.

The authors assessed the data using partial least squares structural equation modeling (PLS-SEM) for understanding users' continuation intention toward Ant Forest.

Through a survey of 337 Ant Forest users, the results reveal that cognitive and affective experiences substantially affect Ant Forest continuation intention. Personal attributes and motivational factors also stimulate users to continue using Ant Forest.

The authors build and confirm a conceptual framework to understand users' continuation intention toward a novel unexplored Ant Forest phenomenon.

This study aims to envisage the impact of green project management (GPM) practices on sustainable competitive advantage (SCA). Moreover, this study also accessed the mediating role of green knowledge acquisition (GKA) as a mechanism between GPM and SCA.

Using a quantitative field survey, the data were collected from the multi-sector manufacturing enterprises (n = 265) in Pakistan. The measurement and structural model were tested through Analysis of Moment Structure by conducting a covariance structure analysis.

The findings suggest that GPM practices are positively related to SCA. In addition to this direct effect, GKA play a significant role in explaining the associations between GPM practices and SCA. The findings bring essential insights for the enterprises, policymakers, practitioners and project managers to promote GPM practices for low-carbon projects to achieve SCA.

The data used in this study is cross-sectional in nature. The geographic location is limited to firms in Pakistan, while well-validated subjective measures are used to make the survey more convenient for participants.

The practitioners in general, while project managers in particular, are recommended to implement GPM practices and GKA to achieve high performance of SCA.

To the best of the authors’ knowledge, this is one of the first studies to examine GPM practices and its effect on SCA directly and via GKA in a single model.