Online surveys have become one of the most widely used methods for collecting primary data in business and management research. However, designing, administering, and reporting online surveys in a methodologically rigorous manner remains challenging for many researchers. The objectives of this editorial are twofold. First, we review the advantages, methodological challenges, and commonly used approaches to online data collection. Second, we provide practical recommendations covering the entire online survey process, including survey platform selection, online questionnaire design, pretesting, data collection, response rate management, and reporting practices. In doing so, this editorial brings together methodological recommendations and practical insights into a single resource to help researchers design, conduct, and report online survey research more rigorously and transparently.
Environmental regulation is often viewed as a constraint because it may increase compliance costs and reduce managerial flexibility. However, regulation may also create institutional pressure that encourages eco-innovation and improves sustainable environmental performance. This study examines how environmental regulation affects sustainable environmental performance in Oman through product, process, and organizational eco-innovation, and whether these pathways differ between public and private organizations. Data were collected from 306 professionals in Oman using purposive sampling across both public and private sector organizations. Partial least squares structural equation modeling (PLS-SEM) was used to test direct and indirect relationships. The findings show that environmental regulation has a strong positive effect on sustainable environmental performance. However, the mediation pathways differ across sectors. In private organizations, regulation improves sustainable environmental performance mainly through product and organizational eco-innovation. In public organizations, the main pathway operates through process eco-innovation. Artificial neural network (ANN) results further confirm that environmental regulation is the strongest predictor, followed by process, product, and organizational eco-innovation. This study highlights that eco-innovation should not be treated as one general mechanism. Rather, product, process, and organizational eco-innovation play different roles across sectors. Policymakers should design sector-specific environmental regulations that support product and organizational eco-innovation in private organizations and process-based environmental improvement in public organizations.
This study aims to examine the role of absorptive capacity as an antecedent of growth hacking and its subsequent impact on entrepreneurial performance among SMEs in Indonesia. The study employed a purposive sampling technique, resulting in a sample of 276 SME owners and managers operating either fully digital or hybrid business models across various sectors that had adopted digitalization. The data were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM) in combination with Necessary Condition Analysis (NCA). The findings show that the potential absorptive capacity enhances growth hacking but does not directly influence entrepreneurial performance, whereas realized absorptive capacity positively affects both growth hacking and entrepreneurial performance. Growth hacking also mediates the relationship between the dimensions of absorptive capacity and entrepreneurial performance. The NCA confirms that both absorptive capacity and growth hacking constitute necessary conditions for improving entrepreneurial performance. This study demonstrates how absorptive capacity contributes to growth hacking and entrepreneurial performance in SMEs, particularly in emerging economies. The findings also highlight the importance of developing absorptive capacity to support growth-oriented business practices to improve entrepreneurial performance.
The purpose of this study is to empirically investigate the impact of hedonic and utilitarian browsing orientations on flow experience and their relationship with impulsive and compulsive purchasing behavior in e-commerce settings. The rise in consumer engagement in online shopping suggests that browsing is not only functional but also emotional and immersive. Therefore, this study integrates the perspectives of dual browsing motivations and flow theory to understand the psychological processes underlying unplanned purchasing behavior on digital platforms. A survey of 386 active Indonesian e-commerce users was conducted using purposive sampling. The data were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM) in SmartPLS 4.0. The findings indicate that both hedonic and utilitarian browsing significantly affect flow experience, with hedonic browsing emerging as the stronger predictor. Flow experience was found to positively influence both impulsive and compulsive purchasing behavior, while impulsive buying also exerts a strong influence on compulsive buying. This study is unique in that it integrates hedonic and utilitarian browsing within a unified framework, examining their effects on impulsive and compulsive buying behavior through flow experience, while modeling flow experience and compulsive buying as second-order multidimensional constructs. The study also provides valuable insights for e-commerce practitioners seeking to manage engaging user experiences.
Run-flat tyres (RFTs) represent an innovative breakthrough in automotive safety, enabling vehicles to continue moving even after a puncture. However, low adoption rates of RFTs persist in emerging Asian markets due to perceived quality issues. Some RFTs produced by the Tyre manufacturers do not meet the expected quality or performance standards. Drawing on the theory of planned behavior (TPB), this study examines the relationships among customers' attitude towards RFT, subjective norm, and perceived behavioral control (PBC) on customers' intention to purchase RFTs, as well as the mediating influence of perceived quality on these relationships. Using purposive sampling, data were collected from 289 active car drivers. Data were analyzed using partial least squares structural equation modeling (PLS-SEM) in SmartPLS 4.0. The findings revealed that attitude, subjective norm, and PBC positively influence customers' intention to purchase RFTs when combined with high levels of perceived quality. The perceived quality of RFTs partially mediates these relationships. PBC was the strongest predictor of customers' intention to purchase RFTs, followed by perceived quality. The application of the TPB and the mediating effect of perceived quality in this study offer fresh perspectives on consumer behavior research in the automotive industry. It provides an empirical analysis of an underexplored emerging economy that could be highly useful for replication in Asia-Pacific markets, where consumers remain uncertain about the innovation of RFTs.
