Transactional Model Research Articles

The Role of Techno-Eustress in Technology-Enhanced IT Learning

ABSTRACT This research explores the bright side of technostress, contrasting prior studies focusing on its adverse effects. Drawing on the transactional model of stress and coping and the holistic stress model, we investigate how personal and organizational coping resources influence techno-eustress and learning performance in information technology training. Our research model is validated with a sample of 644 graduate students who completed technology-enhanced learning courses in an information systems program. Despite the positive association between personal and organizational coping resources, we find both resources are positively linked to techno-eustress and subsequent learning performance. These findings challenge existing assumptions and offer new insights into the relationship between coping resources, techno-eustress, and learning outcomes. Our study fills a literature gap, providing a better understanding of technostress effects, and discussing the theoretical and practical implications. These findings have significant implications for researchers, practitioners, and educators seeking to optimize technology use in training contexts.

Detecting anomalous cryptocurrency transactions: An AML/CFT application of machine learning-based forensics

In shaping the Internet of Money, the application of blockchain and distributed ledger technologies (DLTs) to the financial sector triggered regulatory concerns. Notably, while the user anonymity enabled in this field may safeguard privacy and data protection, the lack of identifiability hinders accountability and challenges the fight against money laundering and the financing of terrorism and proliferation (AML/CFT). As law enforcement agencies and the private sector apply forensics to track crypto transfers across ecosystems that are socio-technical in nature, this paper focuses on the growing relevance of these techniques in a domain where their deployment impacts the traits and evolution of the sphere. In particular, this work offers contextualized insights into the application of methods of machine learning and transaction graph analysis. Namely, it analyzes a real-world dataset of Bitcoin transactions represented as a directed graph network through various techniques. The modeling of blockchain transactions as a complex network suggests that the use of graph-based data analysis methods can help classify transactions and identify illicit ones. Indeed, this work shows that the neural network types known as Graph Convolutional Networks (GCN) and Graph Attention Networks (GAT) are a promising AML/CFT solution. Notably, in this scenario GCN outperform other classic approaches and GAT are applied for the first time to detect anomalies in Bitcoin. Ultimately, the paper upholds the value of public–private synergies to devise forensic strategies conscious of the spirit of explainability and data openness.

A tripartite evolutionary game model of ginger transaction under the “regulation + target price insurance ” policy

AbstractThis paper constructs a tripartite evolutionary game model of government, dealers, and ginger farmers under asymmetric price transmission and explores the impact of the target price insurance on the stabilization strategy of the tripartite evolutionary game. It is also demonstrated that farmers’ interests can be effectively protected under long‐term government regulation and issuance of reasonable insurance subsidy coefficients. Finally, the model is assigned according to the actual data to systematically reveal the factors affecting the decision of each actor. The research shows that: long‐term government regulation is necessary to effectively curb speculation, while the implementation of target price insurance can improve farmers’ trading position; the probability of government regulation and implementation is not only related to the cost and social benefits but also influenced by ginger trading volume, while the probability of ginger dealers choosing to hoard speculation increases with the increase of ginger trading volume.

Electric Vehicle Charging Transaction Model Based on Alliance Blockchain

With the increasing demand for electric vehicle (EV) charging, there are cases of complicated trading between EV users and charging operators or electrical utilities. This paper proposes a new trading model based on consortium blockchain. Firstly, mutual trust interconnected transaction networks and channels between charging operators are established. The PBFT consensus algorithm is used to verify EV charging transactions, and smart contracts are used to complete the process. In this model, charging station nodes of each company can verify transactions, the interconnection and independent management of charging transactions are realized, users’ charging methods are enriched, and the flexibility of charging services is improved. Finally, this paper uses hyperledger fabric to build an experimental environment. The feasibility of the above method is verified with an actual distribution scenario of some charging stations in Beijing.

Stress and Coping Factors Affecting Health-Related Quality of Life in Parents of Children with Congenital Heart Disease: An Integrative Review.

Parents of children with congenital heart disease experience unique stressors that affect their psychological well-being and health-related quality of life. A parent's ability to cope effectively influences how they adjust to stressful situations. The purpose of this review is to synthesize the factors influencing HRQoL in parents of children with congenital heart disease under the lens of the Transactional Model of Stress and Coping framework to identify areas for intervention and future research. An integrative literature review was conducted by keyword search of online databases PubMed, PsycINFO, Cumulative Index to Nursing and Allied Health Literature, and Medline from 2011 to 2022. Inclusion and exclusion criteria were applied to search results and studies were assessed for quality using the Mixed Method Appraisal Tool. The initial search yielded 1026 unique papers, and 24 were included based on the predefined criteria. The Transactional Model of Stress and Coping was applied to organize results and generate themes. Results showed a child's hospitalization is a time of uncertainty and distress for parents of children with congenital heart disease. Effective problem-focused and emotion-focused coping strategies can lead to reduced stress and improved health-related quality of life for parents. Additionally, multiple variables moderate the relationship between a parent's perceived stress and adjustment. Health care teams should focus on targeted education, faith, coping, and social support interventions. Further research is needed that examines the effect of mental health factors, cultural differences, and socioeconomic variables on the health-related quality of life of parents of children with congenital heart disease.

Common Dyadic Coping Mediates the Associations Between We-Disease Appraisal and Relationship Satisfaction and Quality of Life in HIV Serodiscordant Couples: The Common Fate Mediation Model.

Since HIV has evolved into a lifelong but manageable condition, improving the quality of life (QoL) of persons living with HIV (PLWHs) has become increasingly important. Living with HIV is life-altering and poses substantial challenges for both PLWHs and their partners, so identifying how HIV serodiscordant couples cope with HIV together is crucial. Here, Bodenmann's Systemic Transaction Model highlights common dyadic coping (CDC), which refers to both partners working together to alleviate the negative effects of stress. We examined the mediating role of CDC in linking we-disease appraisal with relationship satisfaction and QoL. We recruited a convenience sample of 231 HIV serodiscordant couples via local grassroots organizations between June and October 2022. Participants completed measures of we-disease appraisal, CDC, relationship satisfaction, and QoL. We examined the mediation effect of CDC on the association between we-disease appraisal and outcomes using the common fate mediation model. The mean age of PLWHs was 32.18 years (standard deviation = 8.61 years), and that of their partners was 32.55 years (standard deviation = 9.24 years). The average time since HIV diagnosis was 4.18 years. Most couples were same-sex male couples. We found that CDC mediated the effect of we-disease appraisal on relationship satisfaction. Moreover, CDC significantly mediated the effect of we-disease appraisal on the QoL of PLWHs and their partners. Our findings highlight the importance of CDC in dyadic illness management among Chinese HIV serodiscordant couples.

Communication Models in Asynchronous Multiplayer Video Games

The purpose of the article is to study the communicative features of asynchronous multiplayer video games. Research methodology. This study uses general scientific methods of analysis and synthesis, as well as the historical method. The analysis was used for the existing theories that study asynchronous video games, as well as for the study of gaming experience in relevant projects. The synthesis allows us to form a general vision of the functioning of the considered class of video games in the context of popular communication models. The historical method allows us to observe the dynamics of the development of approaches implemented in asynchronous gameplay. The scientific novelty is to clarify the communicative specificity of asynchronous video games by using communicative models to describe the interaction of players in them. Conclusions. An asynchronous multiplayer video game demonstrates broad communication capabilities that differ to some extent from those presented in more familiar synchronous ones. Among the basic models of communication (linear, interactive, and transmission), no single one was found that would fully describe the phenomenon under study. It turned out that the technical features of communication in the studied video games are closer to the linear model, but organizing the communication process goes beyond it, creating various modifications. The most complex multiplayer asynchronous games build interaction based on cultural, social, and other contexts, which is more relevant to the transactional model. In other words, communication in asynchronous video games is described by a complex model that has elements of the linear and transactional models. While the communication of the first asynchronous multiplayer video games was limited to the motivation to compete, modern examples of video games are beginning to focus on more complex forms of communication.

ANALISA INFAQ SEBAGAI RULE MODEL TRANSAKSI PEMBAYARAN PADA PENERAPAN SISTEM PERDAGANGAN EKONOMI BERBASIS SYARIAH.


 
 
 
 Infaq is one of the pillars of Islamic economics that plays an important role in income distribution and social welfare. Infaq can be implemented as a rule model for payment transactions in the implementation of a sharia-based economic trading system. This study aims to analyze infaq as a rule model for payment transactions in the implementation of a sharia-based economic trading system.
 The research method used is a qualitative method with a descriptive approach. Data were obtained through literature studies and interviews with experts in the field of Islamic economics. The results of the study show that infaq can be implemented as a rule model for payment transactions in the implementation of a sharia-based economic trading system. Infaq can be applied as a condition or obligation for transaction actors to set aside a portion of their income for social purposes. Infaq can be implemented through a digital payment system that is integrated with infaq management institutions.
 
 
 

Tracking foreign language teacher emotional reactions to student silence: An autoethnographic case study in Japan

While much has been researched regarding English language learner (ELL) perspectives on silence and pedagogical implications, the longitudinal negative effects of ELL silence on foreign language (FL) teachers is an under researched area of study. When considering that (a) Japanese FL classrooms are known to have high levels of silence as compared to the West, (b) FL teachers generally have a negative bias towards student silence, and (c) the fact that FL teacher attrition rates worldwide are reported to be increasing; this is a surprising gap in the field. Using dynamic systems theory, Bronfenbrenner's (1979) ecological systems theory, Barnlund's (1970) transactional model of communication, and Spilt et al.'s (2011) student-behavior mental representation model as a framework to investigate FL teacher emotional reactions to silence, the researcher conducted an autoethnographic event-based sampling study over a university term in Japan (98 days). In accordance to event-based sampling methodology, the researcher documented "in-the-moment" or "near-the-moment" incidences when emotional reactions to silence occurred. The main findings of this study are as follows: (1) Japanese ELLs are uncomfortable receiving direct FL teacher assistance around their peers, (2) negative reactions to Japanese ELL silence are linked to the establishment or disruption of classroom patterns, and (3) stress pertaining to teacher-teacher silence emerged after teacher-student stress stabilized mid-term. Regarding the third theme, suppressive surface acting and the need for social support were found to contribute to FL teacher stress.

Using accounting theory to develop a theoretical model for credit card rewards programme transactions

PurposeAfter the effective date of International Financial Reporting Standard (IFRS) 15, the accounting treatment of credit card rewards programmes (CCRPs) is no longer explicitly prescribed. Uncertainty regarding what constitutes faithful representation, and the inconsistent accounting practices observed, has created a need for guidance on the appropriate accounting treatment of CCRP transactions. Accounting theory has the potential to provide the foundation for this guidance. As a result, the objective of this study was to develop a theoretical model for the accounting treatment of CCRP transactions using accounting theory.Design/methodology/approachThis non-empirical qualitative conceptual study utilised document analysis, focussing specifically on accounting theory, to construct an accounting treatment model.FindingsApplying the relevant accounting theory (International Accounting Standards Board's (IASB's) Conceptual Framework), a theoretical model for the accounting treatment of CCRP transactions was developed, which emphasises the importance of understanding the economic phenomenon (the CCRP transaction) and determining how management views the transaction (in isolation as marketing or as an integral part of the credit card transaction).Originality/valueAddressing the problem of accounting for CCRP transactions with reference to accounting theory (which is the main element of scholarly activity in accounting) distinguishes this study from previous research on the topic. The CCRP accounting treatment theoretical model could assist CCRP management in faithfully accounting for a CCRP transaction and reduce uncertainty and inconsistency in practice. Moreover, this study identified the procedures to be employed when using accounting theory to determine the appropriate accounting treatment of business transactions. These procedures could be employed by accountants when faced with other transactions not covered by specific accounting standards.

Fostering Collective Intelligence in Human-AI Collaboration: Laying the Groundwork for COHUMAIN.

Artificial Intelligence (AI) powered machines are increasingly mediating our work and many of our managerial, economic, and cultural interactions. While technology enhances individual capability in many ways, how do we know that the sociotechnical system as a whole, consisting of a complex web of hundreds of human-machine interactions, is exhibiting collective intelligence? Research on human-machine interactions has been conducted within different disciplinary silos, resulting in social science models that underestimate technology and vice versa. Bringing together these different perspectives and methods at this juncture is critical. To truly advance our understanding of this important and quickly evolving area, we need vehicles to help research connect across disciplinary boundaries. This paper advocates for establishing an interdisciplinary research domain-Collective Human-Machine Intelligence (COHUMAIN). It outlines a research agenda for a holistic approach to designing and developing the dynamics of sociotechnical systems. In illustrating the kind of approach, we envision in this domain, we describe recent work on a sociocognitive architecture, the transactive systems model of collective intelligence, that articulates the critical processes underlying the emergence and maintenance of collective intelligence and extend it to human-AI systems. We connect this with synergistic work on a compatible cognitive architecture, instance-based learning theory and apply it to the design of AI agents that collaborate with humans. We present this work as a call to researchers working on related questions to not only engage with our proposal but also develop their own sociocognitive architectures and unlock the real potential of human-machine intelligence.

Enhancing Sustainability in the Agricultural Sector Amid COVID-19: An Implication of the Transactional Theory

COVID-19 impacted lives and business activities across all sectors of the economy, and farmers were no exception. Utilizing the lens of the transactional theory of stress and coping, the present study explores the stressors among small-scale farmers and the strategies they adopted for farm management during the pandemic. This study follows qualitative research design principles and collects the data of farmers from Pakistan on their lived experiences via in-depth interviews. We selected the farmers based on the purposive criterion sampling method, selecting farmers whose farm management practices were affected by the pandemic. The findings suggest that the pandemic created stress among farmers through internal and external factors. The low income of farmers and decline in their yield appeared as internal factors, and hindrances in utilizing resources, strict lockdown measures, worsening supply chain, and market conditions were major external factors impacting farmers emotionally and economically. Farmers utilized their available resources to cope with these factors, i.e., family labor, on-farm labor accommodation, and self-transportation. Nonetheless, farmers demanded the government, fellow farmers, and wholesalers to build a better system to cope with any crisis such as COVID-19. This study provides two primary contributions: First, it provides theoretical contributions to the transactional model of farmers’ stress and coping during COVID-19, taking evidence from farmers in the agricultural sector. Second, it provides a comprehensive framework through which researchers, practitioners, consultants, and government authorities can build future scholarship and develop strategies to enhance sustainability and cope with future pandemics.

A transactional model of stress and coping applied to cyclist subjective experiences

Research indicates that subjective experiences such as happiness, joy, anxiety, and fear influence peoples’ decisions to bike ride. Negative user experiences in particular are a key barrier to increased bike riding participation. However, existing research has not considered the theoretical mechanisms that give rise to subjective experiences while bike riding. To achieve a more nuanced understanding necessary to enable subjective experiences to contribute to policy and planning, there is a need to both establish theoretically-informed definitions of what subjective experiences consist of, and common approaches to describing how they arise and can be measured. This conceptual paper addresses a translation gap between theory and existing research by applying the transactional model of stress and coping and the circumplex model of affect to demonstrate potential causal mechanisms and measurement approaches of bicycling-related subjective experiences. The transactional model of stress and coping proposes that individuals continuously appraise the demands of their environment relative to their coping abilities, stating that stress and negative emotions occur when an environment exceeds perceived coping abilities. The circumplex model of affect proposes that emotions exist on dimensions of valence and arousal, measuring the unpleasant-pleasantness and degree of activation of an emotion from low to high, respectively. By proposing theoretically-informed definitions and theoretical approaches, this paper establishes a framework that unifies existing research and enables a more nuanced understanding of individual differences in subjective experiences that can contribute to bicycling uptake.

INSTANTIATING A GENERIC PROCESS MODEL FOR EARLY-STAGE PRODUCT-SERVICE SYSTEM (PSS) DESIGN IN TWO CAPITAL GOODS MANUFACTURING COMPANIES

AbstractProduct-Service Systems (PSS) are seen as key enablers of circularity. However, better sustainability performance of PSS when compared to transactional business models is not given and it must be carefully considered in the design process. The early-stage PSS design is considered crucial because it determines most of the future offerings' impact. Nevertheless, manufacturing companies struggle with PSS design and often rely on ad hoc intuitive approaches with low success rates. Current PSS design approaches have been dispersed in literature until a recent systematic literature review by the authors proposed a comprehensive generic process model to enable the inclusion of sustainability considerations in the early stages. This paper takes the generic process model as a starting point and instantiates it to the context of two manufacturing companies, seeking to (i) explore the instantiation process from a generic to company-specific process models to support manufacturing companies; and (ii) reflect upon and prepare an evaluation of the generic process model concerning eight predefined criteria. The study reveals a number of potential areas for improving both generic and instantiated process models.

LAYANAN APLIKASI GO-JEK: REALITAS MULTI AKAD DALAM TRANSAKSI JUAL BELI ONLINE GO-FOOD PERSPEKTIF EKONOMI ISLAM

The rapid development of information technology can be seen from the massive use of the Internet network, which has also boosted the public's need to always carry out trade transactions using the Internet network. This is a challenge for Muslims to always be careful in transactions because Islam gives freedom to its followers in transactions but still places restrictions according to the Shari'a. Therefore, this study aims to find out the form of transactions in the go-food application and what the Islamic economic perspective is on these go-food transactions. The research method uses a qualitative interpretive approach. Sources of data come from primary data and secondary data and data collected using observation, interviews, and documentation. Respondents in this study were PT. Go-Jek, Go-Jek drivers, merchants, and consumers. This research focuses on the multiple contracts contained in Go-food services and the views of Islamic Economics on the transaction model. The results of this research show that it is true that there are multiple contracts in Go-food transactions because many parties are involved in them, including service leasing transactions between PT. Go-Jek and merchants, partners between PT. Go-Jek and drivers, as well as representative transactions between consumers and PT. Go-Jek and consumers with Go-Jek drivers. Islamic Economics views this transaction model resembles the forms of contracts in Islam, namely ijarah contracts, syirkah, wakalah bil ujrah, and their application does not conflict with Islamic Economics.

Subjective wellbeing during the COVID-19 pandemic: A 3-year, 35-wave longitudinal study

ABSTRACT This article reports the results of a longitudinal study conducted between December 2019 and December 2022 (35 waves) with 979 participants in Germany. Based on event, transition, and adaptation theories, trajectories of subjective wellbeing (i.e. life satisfaction, positive affect, negative affect) were hypothesized and tested across multiple national lockdown and restriction periods. In addition, based on the transactional stress model, this study examined how individuals’ stress appraisals (i.e. threat, challenge) and coping strategies (i.e. active coping, behavioral disengagement) moderate trajectories of subjective wellbeing. There was evidence for some relatively weak lockdown effects on wellbeing and for subsequent recovery effects. Evidence for moderating effects of stress appraisals and coping strategies was mixed. Overall, findings suggest that national lockdowns associated with the COVID-19 pandemic had negative, albeit on average relatively weak, effects on subjective wellbeing. Moreover, certain stress appraisals and coping strategies might help individuals maintain wellbeing in times of crisis.

Navigating Ethical Supply Chains: The Intersection of Diplomatic Management and Theological Ethics

In an increasingly interconnected and ethically conscious world, the integration of diplomatic management and theological ethics into supply chains emerges as a transformative framework that redefines business practices. This paper explores the intricate intersections of these disciplines and their profound implications for ethical supply chain management. The convergence of diplomatic negotiation strategies with theological principles results in a visionary approach that addresses the moral complexities of supply chains while fostering collaborative relationships, responsible practices, and lasting positive impacts. The paper first delves into the fundamentals of diplomatic management and its relevance to ethical supply chains. It examines how negotiation techniques grounded in mutual respect, compromise, and dialogue can transcend traditional transactional models, paving the way for equitable collaborations that encompass cultural diversity and shared value creation. The integration of theological ethics further enriches this approach, embedding moral imperatives into negotiations and emphasizing values such as justice, compassion, and stewardship. Building upon this foundation, the paper explores the practical applications of diplomatic management and theological ethics in supply chain management. It delves into case studies that exemplify how these principles can guide decision-making, strengthen partnerships, and navigate ethical challenges in complex global supply networks. Moreover, the paper underscores the potential benefits of this integrated framework, such as enhanced reputation, increased consumer loyalty, and the promotion of international cooperation. The paper also envisions the future landscape shaped by ethical supply chains guided by diplomatic management and theological ethics. It underscores the significance of this approach in reshaping industries, influencing consumer behavior, and cultivating a global culture that values responsible practices. Additionally, the paper emphasizes the role of education, advocacy, and leadership in driving the adoption of this framework, as well as the challenges and strategies associated with measuring its impact and fostering a culture of ethical resilience. Illuminates the transformative potential of integrating diplomatic management and theological ethics in ethical supply chains. By merging the principles of diplomacy, theology, and ethics, organizations can forge a path toward sustainable business practices that prioritize human dignity, environmental stewardship, and societal well-being. As industries, leaders, and consumers align their values with this visionary approach, they contribute to a future where ethical considerations are woven into the fabric of global supply chain practices, shaping a more harmonious and responsible world.

Sharing economy as a field: Revisiting debates and introducing new research avenues

AbstractThis article offers a state‐of‐art review of previous research in the field of sharing economy. It explores the definitional dilemma and presents the research field of sharing economy as a contested one. In an attempt to contribute to the numerous efforts of ordering, summarizing and characterizing sharing economy, the article further unpacks the debates driving the emergent sharing economy field. First, it is a debate on the role and place of ICT and platform technologies in sharing economy. Second, the article explores the role and place of economic interest in sharing economy, placing the empirical reality of sharing economy along a broad spectrum from for‐profit enterprises to non‐profit community sharing projects. Third, the paper analyses the question of ownership and its transfer in sharing economy, exploring its positioning vis‐à‐vis gift economy, and short‐term renting and lending. It further analyses relationships between stakeholders (private individuals and business actors) participating in sharing economy, presents the overview of literature on the three transactional models in sharing economy, Business to Consumer (B2C), Business to Business (B2B), and Peer to Peer (P2P). Finally, the paper suggests future research avenues. This study highlights the lack of research looking at sharing outside of the purview of market exchange. It is suggested that the definition of sharing economy and research in the field should focus on P2P activities. Furthermore, it is suggested that the configuration of the sharing economy should be understood from a field perspective. Field‐level studies of issues that bring together various actors in debates on sharing economy should allow for understanding further development of sharing economy.

Neuroticism and Stress in Older Adults: The Buffering Role of Self-Esteem.

Chronic stress is associated with accelerated aging and poor health outcomes in older adults. According to the Transactional Model of Stress (TMS), distress is experienced when one perceives the stressor, or threat, to outweigh the ability to cope. The experience of distress is correlated with trait neuroticism, which is associated with greater perceptions of stress and stress reactivity, as well as a tendency to engage in maladaptive coping strategies. However, as individual personality traits do not act in isolation, this study aimed to investigate the moderating role of self-esteem in the relationship between neuroticism and distress using a TMS framework. A total of 201 healthy older adults (Mage = 68.65 years) completed questionnaires measuring self-esteem, neuroticism, perceived stress, and positive coping. Greater neuroticism was significantly associated with less positive coping at low (b = -0.02, p < 0.001) and mean self-esteem levels (b = -0.01, p < 0.001), but not at high self-esteem levels (b = -0.01, p = 0.06). No moderating effect was found for perceived stress or overall distress. The results support the association between trait neuroticism and indices of stress and suggest a potential buffering effect of self-esteem in moderating the negative association between neuroticism and positive coping.

Peer-to-Peer transactive energy trading of multiple microgrids considering renewable energy uncertainty

Distributed renewable energy requires market-based measures to remain competitive as subsidies are phased out. However, the intermittence and volatility of renewable energy power generation lead to great challenges in decision-making. To address the uncertainty issues induced by inaccurate RE forecast, this paper proposed a peer-to-peer transactive energy trading strategy for multiple microgrids based on distributionally robust optimization. First, an uncertainty fuzzy set based on Wasserstein distance is created for the renewable energy prediction errors in each microgrid. Second, a day-ahead microgrids peer-to-peer transactive energy trading model is proposed based on the distributionally robust optimization theory to address the power fluctuation problems of renewable energy. Third, using the dual theory, the proposed nonlinear model is addressed by transforming it into a linear and convex programming problem. Considering the independence of microgrids, a distributed strategy based on the alternating direction method of multipliers is then developed to preserve their privacy. Finally, the case study proves that the method proposed can increase the income of microgrids containing renewable energy through peer-to-peer transactions, protect the privacy of microgrids, and then promote the development of renewable energy. The distributionally robust optimization approach also guarantees the economy and reliability of the transaction results for real-time deployment.