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Acknowledging previous scholarly focus on functional attributes in understanding technology acceptance behaviour, the current study aims to offer a novel perspective by integrating eight different dimensions of utilitarian and hedonic attributes to examine their influence in delivering a holistic web-based retail shopping experience.

The research model was tested and validated through data collected from 370 online shoppers across both hedonic and utilitarian product ranges. Hypotheses were tested using covariance-based structural equation modelling with multi-group analysis to examine the moderation effect.

The findings strongly support the model confirming eight new utilitarian and hedonic dimensions that influence web-based retail shopping behaviour. The findings also confirm that hedonic attributes remain important even for utilitarian product purchasing.

The key managerial implication is the demonstrated need to balance utilitarian and hedonic attributes in web-based retail platforms, where previously, there has been an overemphasis on functional features. Web-based retailers should consider the optimal blend of utilitarian (e.g. information quality) and hedonic (e.g. aesthetic) attributes in the design of a retail shopping site, irrespective of the product category.

This study integrates multiple dimensions of utilitarian and hedonic attributes into a single model and highlights the interplay of these attributes, thus extending the technology acceptance model. This paper also advances scholarship through its identification of attribute impact across different product categories.

Supply chain management (SCM)-embedded valuable resources, such as capital, raw-materials, products, partners, customers and finished inventories, where the evaluation of environmental texture and flexibilities are needed to perceive sustainability. The present study aims to identify and evaluate the directory of green and agile (G-A) attributes based on decision support framework (DSF) for identifying dominating measures in SCM.

DSF is developed by exploiting generalized interval valued trapezoidal fuzzy numbers (GIVTFNs). Two technical approaches, i.e. degree of similarity approach (DSA) and distance approach (DA) under the extent boundaries of GIVTFNs, are implicated for data analytics and for recognizing constructive G-A measures based on comparative study for robust decision. A fuzzy-based performance indicator, i.e. fuzzy performance important index (FPII), is presented to enumerate the weak and strong G-A characteristics to manage knowledge risks in allied business environment.

The modeling is illustrated from the insights of decision-makers for augmenting business value based on cognitive identification of measures, where the best performance score is identified by the “sustainable packaging” under the traits of green supply chain management (GSCM). “The use of Web-based applications” under the traits of agile supply chain management (ASCM) and “Outsourcing flexibility” under traits of ASCM is found as the second and third most significant performance characteristics for business sustainability. Additionally, the “Reutilization (recycling) and reprocessing” under GSCM in manufacturing and “Responsiveness and speed toward customers needs” under ASCM are found difficult in attainment.

The G-A evaluation will assist in attaining performance excellence in day-to-day operations and overall functioning. The outcomes will help executives to plan strategic objectives and attaining success.

To reinforce the capabilities of SCM, wide extent of G-A dimensions are presented, concept of FPII is reported to manage knowledge risks based on identification of strong attributes and two technical approaches, i.e. DSA and DA under GIVTFNs are presented for attaining robust decision and directing managerial decision-making process.

Although businesses continue to take up artificial intelligence (AI), concerns remain that companies are not realising the full value of their investments. The study aims to provide insights into how AI creates business value by investigating the mediating role of Business Process Management (BPM) capabilities.

The integrative model of IT Business Value was contextualised, and structural equation modelling was applied to validate the proposed serial multiple mediation model using a sample of 448 organisations based in the EU.

The results validate the proposed serial multiple mediation model according to which AI adoption increases organisational performance through decision-making and business process performance. Process automation, organisational learning and process innovation are significant complementary partial mediators, thereby shedding light on how AI creates business value.

In pursuing a complex nomological framework, multiple perspectives on realising business value from AI investments were incorporated. Several moderators presenting complementary organisational resources (e.g. culture, digital maturity, BPM maturity) could be included to identify behaviour in more complex relationships. The ethical and moral issues surrounding AI and its use could also be examined.

The provided insights can help guide organisations towards the most promising AI activities of process automation with AI-enabled decision-making, organisational learning and process innovation to yield business value.

While previous research assumed a moderated relationship, this study extends the growing literature on AI business value by empirically investigating a comprehensive nomological network that links AI adoption to organisational performance in a BPM setting.

The purpose of this study is to investigate the impact of the COVID-19 pandemic on the beliefs and attitudes toward the use of information and communication technology (ICT). The study examines the challenges of implementing ICT-based training and provides insights for promoting the acceptance of online training in volunteer sports communities.

The study uses an action design research methodology that combines the implementation of ICT-based training, interviews, and a survey of 523 participants to examine the influence of online training on beliefs and attitudes.

The study shows that before the COVID-19 pandemic, soccer referees had negative beliefs about the use of ICT for learning. However, the experience of being forced to use ICT for training during the pandemic led to a positive shift in their beliefs about ICT.

The study offers four lessons learned for promoting the use of ICT-based training in voluntary sports. Future research should investigate the influence of blended learning approaches on affective, cognitive, and skill-based learning outcomes.

The study has practical implications for those responsible for implementing ICT-based training in voluntary sport. The findings suggest that design features such as usefulness, ease of use and enjoyment should be emphasized to increase the acceptance of online training.

The study contributes to the literature by providing insights into the challenges of implementing ICT-based training in voluntary sport contexts. The findings suggest that the experience of being forced to use ICT can promote the acceptance of online training in volunteer sports communities.

Employee recognition systems are ubiquitous in organizations (WorldatWork, 2019) and have positive effects on work outcomes (e.g. Stajkovic and Luthans, 2001). However, psychologically meaningful recognition relies on the recognition giver being motivated to observe and recognize coworkers. Crises such as the COVID-19 pandemic may impact recognition giving in varying ways, yet little research considers this possibility.

This longitudinal field study examined the impact of the COVID-19 crisis on recognition and acknowledgment giving among frontline and nonfrontline healthcare workers at daily and aggregated levels. We tested the relationships between publicly available daily indicators of COVID-19 and objectively measured daily recognition and acknowledgment giving within a web-based platform.

We found that the amount of daily recognition giving was no different during the crisis compared to the year before, but fewer employees gave recognition, and significantly more recognition was given on days when COVID-19 indicators were relatively high. In contrast, the amount of acknowledgment giving was significantly lower in frontline staff and significantly higher in nonfrontline staff during the pandemic than before, but on a daily-level, acknowledgment was unrelated to COVID-19 indicators.

Our results suggest that organizational crises may at once inhibit and stimulate employee recognition and acknowledgment.

Our research is the first to empirically demonstrate that situational factors associated with a crisis can impact recognition giving behavior, and they do so in ways consistent with ostensibly contradictory theories.

The primary objective of this paper is to show a systematic and methodological approach for the digitalization of critical clinical pathways (CPs) within the healthcare domain.

The methodology entails the integration of service design (SD) and action research (AR) methodologies, characterized by iterative phases that systematically alternate between action and reflective processes, fostering cycles of change and learning. Within this framework, stakeholders are engaged through semi-structured interviews, while the existing and envisioned processes are delineated and represented using BPMN 2.0. These methodological steps emphasize the development of an autonomous, patient-centric web application alongside the implementation of an adaptable and patient-oriented scheduling system. Also, business processes simulation is employed to measure key performance indicators of processes and test for potential improvements. This method is implemented in the context of the CP addressing transient loss of consciousness (TLOC), within a publicly funded hospital setting.

The methodology integrating SD and AR enables the detection of pivotal bottlenecks within diagnostic CPs and proposes optimal corrective measures to ensure uninterrupted patient care, all the while advancing the digitalization of diagnostic CP management. This study contributes to theoretical discussions by emphasizing the criticality of process optimization, the transformative potential of digitalization in healthcare and the paramount importance of user-centric design principles, and offers valuable insights into healthcare management implications.

The study’s relevance lies in its ability to enhance healthcare practices without necessitating disruptive and resource-intensive process overhauls. This pragmatic approach aligns with the imperative for healthcare organizations to improve their operations efficiently and cost-effectively, making the study’s findings relevant.

Adoption of Clinical Decision Support Systems (CDSS) is a crucial step towards the digital transition of the healthcare sector. This review aims to determine and synthesise the influential factors in CDSS adoption in inpatient healthcare settings in order to grasp an understanding of the phenomenon and identify future research gaps.

A systematic literature search of five databases (Medline, EMBASE, PsycINFO, Web of Science and Scopus) was conducted between January 2010 and June 2023. The search strategy was a combination of the following keywords and their synonyms: clinical decision support, hospital or secondary care and influential factors. The quality of studies was evaluated against a 40-point rating scale.

Thirteen papers were systematically reviewed and synthesised and deductively classified into three main constructs of the Technology–Organisation–Environment theory. Scarcity of papers investigating CDSS adoption and its challenges, especially in developing countries, was evident.

This study offers a summative account of challenges in the CDSS procurement process. Strategies to help adopters proactively address the challenges are: (1) Hospital leaders need a clear digital strategy aligned with stakeholders' consensus; (2) Developing modular IT solutions and conducting situational analysis to achieve IT goals; and (3) Government policies, accreditation standards and procurement guidelines play a crucial role in navigating the complex CDSS market.

To the best of the authors’ knowledge, this is the first review to address the adoption and procurement of CDSS. Previous literature only addressed challenges and facilitators within the implementation and post-implementation stages. This study focuses on the firm-level adoption phase of CDSS technology with a theory refining lens.

There are countless challenges concerning the process of interest mediation. Regarding territorial planning, the participation of different stakeholders is essential. In this sense, Geodesign is a method that supports decision-making based on geocollaboration and co-creation, using geospatial data and tools. The purpose of this study was to use the method to support the co-creation of environmental projects and policies climate-oriented for the Iron Quadrangle region, Brazil.

The Brazilian platform of Geodesign, GISColab, was used to support the activity. The experiment involved undergraduate and graduate students in Urban Planning and in Geography and technicians that work with planning subjects. Social isolation measures imposed by the pandemic resulted in an adaptation of the dynamic, which was held entirely online.

The study group proposed 28 designs, in which the most discussed topics were landscape (43%), climate (25%) and risk (25%). This may be associated with the fact that the workshop was conducted in consideration of the UN's Sustainable Development Goals (SDGs) and the environmental crisis, but it might also suggest the group’s prior concern with such issues. Other SDGs were contemplated, with the productive sector as the most negatively impacted by proposals. This situation reinforces the importance of incorporating different actors (a term used for participants in the Geodesign method, referring to representatives from groups of the society) into planning processes. Geodesign was easily accepted and assimilated by participants.

The proposed methodology proved to be positive for this type of study and GISColab, the Brazilian Geodesign platform, was easily adapted to the characteristics and demands of the experience.

A faculty development program (FDP) introduced postsecondary instructors to a module focused on the food–energy–water (FEW) nexus, a socio-hydrologic issue (SHI) and a sustainability challenge. This study aims to examine factors influencing faculty interest in adopting the instructional resources and faculty experience with the FDP, including the gains made during the FDP on their knowledge about SHIs and their self-efficacy to teach about SHIs, and highlighted characteristics of the FDP.

Data from n = 54 participants via pre- and post-surveys and n = 15 interviews were analyzed using mixed methods.

Findings indicate that over three quarters of participants would use the curricular resources to make connections between complex SHIs, enhance place-based learning, data analysis and interpretation and engage in evidence-based decision-making. In addition, participants’ experience with the workshop was positive; their knowledge about SHIs remained relatively constant and their self-efficacy to teach about SHIs improved by the end of the workshop. The results provide evidence of the importance of institutional support to improve instruction about the FEW nexus.

The module, purposefully designed, aids undergraduates in engaging with Hydroviz, a data visualization tool, to understand both human and natural dimensions of the FEW nexus. It facilitates incorporating this understanding into systematic decision-making around an authentic SHI.

This study aims to investigate the mediation effects of employee voice and employee well-being on the relationship between relational leadership and organizational citizenship behavior.

This study used a Web-based survey method to collect data from 301 respondents in the four public hospitals of the Sekondi-Takoradi Metropolis. This study used PLS-SEM (WarpPLS) to test the study’s hypotheses.

The findings show that relational leadership has a positive impact on organizational citizenship behavior, and that this link is mediated in part by both employee voice and employee well-being.

This study demonstrates the importance of leaders, paying close attention to employees’ well-being and opinions when attempting to drive organizational citizenship behavior in the health sector.

Based on the review of the extant literature on the impact of leadership on employee behavior and to the best of the authors’ knowledge, it is likely that this study will be the first to show how relational leadership, employee voice, employee well-being and organizational citizenship behavior are related in the health sector, thereby advancing the thrusts of the social exchange and relational leadership theories.