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Telemedicine, similarly to social media, accelerates information exchange, enriches information, provides better access to information and, furthermore, has an impact on mobilizing resources in business-to-business relationships. This paper aims to contribute to the understanding of the changes brought about by telemedicine, as a new technology, in patient routes.

This case study method was applied to examine five health-care protocols through their patient routes (series of activities) with and without telemedicine technology. The ARA model was applied to examine the changes telemedicine engendered in relation to activities, resources and actors. The strategy of visual mapping was applied for the comparative analysis.

The analyzed cases show that the new resources applied through telemedicine technology modified the number and substance of relevant activities and the set and role of actors who were involved. The quantity or the availability of output information increased in patient routes when new resources were added by telemedicine technology. When technology change occurred, any change in data or information systems – the two building blocks of information – could result in new or modified activities. If data that is used or produced while undertaking an activity change simultaneously along with the information system used for encrypting this data, then this “joint change” will certainly entail some kind of change in the set of activities, resources or actors that are involved. If not, then the activities continued the same as with the face-to-face protocol (without the new technology).

The novelty of the paper is that the results highlight the role of information in the extent of change in interactions induced by new technology. Findings about such changes show how information influenced by activities, resources and actors can help decision-makers in relation to the use of telemedicine.

Drawing on Foa and Foa’s elaboration of social exchange theory, the authors propose that buyers reciprocate perceived commitment on the part of the salesperson and supplier with commitment on their own parts because of strengthening of the relationship’s tacit governance mechanism – cooperative norms.

This study uses data from 155 buyers doing business with a multinational supplier. The buyers were from firms generating less than $100,000 in billings. The salesforce of the supplier firm sponsoring the research is responsible for account management and communicating directly with buyers.

Buyers, who feel that their suppliers are providing a symbolic, long-term, particularistic benefit (commitment), respond with their own strengthened commitment to the relationship; this mutualism is explained entirely by the mediating effect of the relationship’s cooperative norms. Where buyers perceive generally favorable treatment (satisfaction), without these three qualities, their own reciprocal commitment increases directly and cooperative norms play no part. The results also demonstrate the transition of buyer perceptions of the salesperson as they develop into beliefs about the selling firm as a whole.

Drawing on the “reciprocation-in-kind” principle, supplier firms seeking long-term, open-ended commitment from their customers should cultivate it via similarly long-term and open-ended commitments of their own. Attention must be given to the unwritten, often unstated “rules of the road” for business relationships, as these rules represent the mechanism through which investments in long-term, profitable partnerships bear fruit.

The conceptual model draws on and empirically tests Foa and Foa’s framework within social exchange theory to predict what form of buyer reciprocation will result, based on the characteristics of perceived seller-provided benefits. This study illustrates that the tacit governance structure of a B2B relationship – its cooperative norms – plays a critical role in the strength of a buyer’s commitment to its supplier.

This study aims to propose an analytical tool based on the activities–resources–actors (ARA) model to understand the coordination mechanisms in humanitarian action. The tool identifies the phases of humanitarian action and analyzes the underlying mechanisms that facilitate coordination among organizations.

This study uses a literature review to develop analytical grids and theoretical propositions based on the ARA model.

The ARA model is a useful tool for understanding coordination mechanisms in humanitarian action. The study identifies key elements of interaction systems and characterizes the phases of humanitarian action. Effective coordination among organizations is essential for successful aid delivery. The study provides four theoretical propositions.

Future research could validate the propositions formulated in this study through case studies.

The analytical grids proposed in this study can be used by humanitarian organizations to improve their coordination mechanisms and aid delivery processes.

Effective humanitarian action can help alleviate the suffering of individuals affected by crises and contribute to the overall well-being of communities. The analytical tool proposed in this study can improve the effectiveness of humanitarian action and ultimately benefit society.

This paper presents an original approach by leveraging the ARA model to develop an analytical tool for humanitarian action, which is useful for both practitioners and researchers. In addition, the paper attempts to overcome the siloed vision of humanitarian action by highlighting “emergency-development” aspect.

The present work investigates the micro-mechanisms underlying the link between psychological contract violation (PCV) and incivility in women employees. Building on social exchange theory (SET) and the norm of reciprocity, the authors utilized a multi-dimensional variable, labeled “Aggressive Reciprocal Attitude” (ARA), composed of three sub-constructs, namely anger, hostility and negative reciprocity, to explain negative women's uncivil behaviors. Further, the effect of conscientiousness is hypothesized to restrain the mechanism of ARA.

Confirmatory Factor Analysis (CFA) and Covariance-based Structural Equation Modeling (CB-SEM) were used on a sample of 194 women from 4 different organizations to empirically validate the proposed conceptual model and test the hypothesized relationships.

Women's ARA is shown as a partial mediator of the relationship between PCV and incivility. Conscientiousness significantly moderates the link between ARA and incivility.

Managers should avoid stereotyping women as more compliant and submissive. Based on women's tendency to reciprocate negatively, this study’s findings suggest that reducing the negative reciprocity attitude is advisable by demonstrating that negative responses are an unsuccessful strategy and encouraging other forms of reaction.

By introducing the negative reciprocity attitude in the construction of the variable ARA, the authors overcome the contradiction between the social role theory, according to which women avoid unsociable behaviors, and studies demonstrating a remarkable presence of conflicts among women.

The purpose of this paper is to inquire into how conceptualising is done in the industrial network approach (INA).

The description and analysis of conceptualising is based on key INA references and an example illustrating the characteristics of conceptualising in individual studies.

The paper concludes that there is an open and interactive way of conceptualising in the INA. The empirical and theoretical grounding achieved through combining concepts in individual empirical studies interplays with conceptual development in the research community over time.

Three paradoxes are suggested for further discussion of conceptualising as a key element in theorising in the INA community.

By explicating how INA researchers engage in conceptualising both in individual empirical studies and as a community, the authors identify characteristics similar to the empirical phenomena in focus of the research: interaction, combining and heterogeneity of concepts.

Building on stimulus organism response theory, this study aims to examine the influence of Integrated store service quality (ISSQ) on omnichannel shoppers’ attachment to the integrated store with the mediating role of omnichannel customer engagement (CE) dimensions (absorptive attention, enthusiastic participation and social connection). This research demonstrates the effect of customers’ attachment to the integrated store on the willingness to pay more for omnichannel services and products of the retailer, their cross-buying behaviors in future purchases and loyal webrooming intentions. The moderating role of perceived relationship investment and alternative retailer attractiveness (ARA) in a few proposed relationships was also tested.

The research is descriptive, quantitative and cross-sectional investigation. A purposive sampling technique was used for selecting the study respondents. The data was collected from n = 589 Indian omnichannel shoppers who have experience shopping in the brick and mortar store of channel-integrated stores using a validated self-administered questionnaire. The proposed conceptual model was tested using PLS-SEM.

The results indicate that omnichannel CE dimensions (absorptive attention, enthusiastic participation and social connection) positively mediate the relationship between ISSQ and customer attachment to the store. Customer attachment to the store significantly impacts their willingness to pay more, cross-buying behaviors and loyal webrooming intentions. The moderating effect of the customer-perceived relationship investment and ARA revealed that it significantly impacted the relationship between ISSQ and willingness to pay more, cross-buying behaviors and loyal webrooming intentions. This research also demonstrated the direct impact of ISSQ on willingness to pay more, cross-buying behaviors, loyal webrooming intentions and the indirect impact through different CE dimensions and attachment with the store.

The study is conducted in the Indian population, where omnichannel retailing is still nascent.

This study addresses the need to investigate the impact of CE and their attachment to stores driven by the in-store service quality of integrated stores on the various postpurchase consumer behaviors. To the best of the authors’ knowledge, this study is the first to show that ISSQ might affect their willingness to pay more, cross-buying behaviors and loyal webrooming intentions through different CE dimensions and their attachment to the store. The moderating effect of customer-perceived ARA and their perception of retailers’ investment in a relationship on proposed hypotheses was also tested.

There is a lack of empirical-based models derived from practice to explain the digital innovation process. The authors investigate how the digital innovation process unfolds in practice.

The authors undertake an exploratory and phenomenological study of 21 Malaysian small and medium enterprises (SMEs) in the information and communication technology (ICT) sector.

The findings show that the delineation between digital innovation process and outcome is blurred in practice, due to the process' iterative nature. Under this process, customers' role has changed from being passive receivers of innovative products to active reviewers, testers, influential decision-makers, initiators and co-creators at different review points in the innovation process. Enterprises' role has expanded from being the initiator of the innovation process to being a cogitative actor by seeking and absorbing knowledge from customer reviews into the digital innovation process. Market analysis is often the initiator of the digital innovation process, and the findings shed light on the underlying causative mechanisms of the initiation stage, which are understudied and not well understood in the existing literature.

The study contributes to academic knowledge by answering scholars' call for developing third-generation practice-based innovation models, which accounts for enterprises' context-specificities and internal and external environments, and for exploring the suitability of the need–solution fit approach for the digital innovation process. Such models have only been conceptually advocated in the literature. The study also informs practitioners on the organizational and operational activities involved in managing and strategizing for the digital innovation process.

The purpose of this research is to introduce the Layar augmented reality (AR) application among library users and to understand the user’s satisfaction towards the information services provided by the Layar application with the help of the structural equation model (SEM).

According to Thomas (2016), action research is mainly undertaken to develop new skills or new approaches and to solve issues and problems with direct application to any applied setting. The present study helps to develop new skills and approaches to repackaging information using AR applications. Researchers have identified the question of what could be done to increase the awareness of Layar AR applications among students. Because the Layar augmented application is one of the new tools for an academic library to repackage information for mass accessibility. Therefore, in the present action research approach, researchers encompass two activities action and research. Researchers have used participatory action research methods by collecting data from 17 MBA institute libraries affiliated with Savitribai Phule Pune University. Researchers have systematically used the Layar application in the library by obtaining permission from each higher authority. Researchers have designed a Layar satisfaction model using the SEM with AMOS and SPSS.

The researcher found that the relationship between experience, performance and service quality is positively significant. The user’s experience is satisfied with the Layar application, but users are not satisfied with the service quality and performance of the Layar application.

This study tested Layar AR application in MBA libraries affiliated with Savitribai Phule Pune University in the Pune and Pimpri Chinchwad areas.

The Layar app helps the academic library to convert selected print collections into an AR feel for library users. This is an additional method of providing information services to users through mobile devices. A total of 157 students downloaded the Layar application from their handsets and provided feedback through a questionnaire. Researchers have found that the relationships between users and Layar experience, performance and service quality are positively significant. The user experience is satisfied with the Layar application, but users are not satisfied with the service quality and performance of the Layar application.

This study examined the performance, service quality and user experience of Layar applications. Structural equation and Modelling theories were used to examine the relationship between user satisfaction and information services using the Layar application.

Accurately estimating the severity of derailment is a crucial step in quantifying train derailment consequences and, thereby, mitigating its impacts. The purpose of this paper is to propose a simplified approach aimed at addressing this research gap by developing a physics-informed 1-D model. The model is used to simulate train dynamics through a time-stepping algorithm, incorporating derailment data after the point of derailment.

In this study, a simplified approach is adopted that applies a 1-D kinematic analysis with data obtained from various derailments. These include the length and weight of the rail cars behind the point of derailment, the train braking effects, derailment blockage forces, the grade of the track and the train rolling and aerodynamic resistance. Since train braking/blockage effects and derailment blockage forces are not always available for historical or potential train derailment, it is also necessary to fit the historical data and find optimal parameters to estimate these two variables. Using these fitted parameters, a detailed comparison can be performed between the physics-informed 1-D model and previous statistical models to predict the derailment severity.

The results show that the proposed model outperforms the Truncated Geometric model (the latest statistical model used in prior research) in estimating derailment severity. The proposed model contributes to the understanding and prevention of train derailments and hazmat release consequences, offering improved accuracy for certain scenarios and train types

This paper presents a simplified physics-informed 1-D model, which could help understand the derailment mechanism and, thus, is expected to estimate train derailment severity more accurately for certain scenarios and train types compared with the latest statistical model. The performance of the braking response and the 1-D model is verified by comparing known ride-down profiles with estimated ones. This validation process ensures that both the braking response and the 1-D model accurately represent the expected behavior.