Information Processing Theory Research Articles

Application of Fuzzy Reasoning with Fusion Rules in Intelligent Information Processing

The core of artificial intelligence (AI) research is intelligent information processing, and fuzzy reasoning and fuzzy neural networks are significant research areas in models of intelligent information processing. The study examines the robustness of fuzzy reasoning by using the property characteristics of triangular modal operators and implication operators, which are used to analyse the Lipschitz property of fuzzy operators and its corresponding property characteristics of triangular modal operators and implication operators. Inference operators are used to investigate the robustness and error-control capabilities of fuzzy operators for fuzzy reasoning. The results showed that the robustness of quasi-copula fuzzy reasoning with fusion rules is better, and the corresponding maximum output perturbation is lowest at 0.36 when the fuzzy operator is T[Formula: see text]&R[Formula: see text] and the corresponding maximum output error is lowest at 0.41 when the fuzzy operators are T[Formula: see text]&R[Formula: see text] and T[Formula: see text]&R[Formula: see text]. This shows the optimal performance of the fuzzy associative memory model with fuzzy rule for quasi-copula fuzzy operators and can improve the theoretical technology. The best-performance fuzzy copula operator of the fuzzy associative memory model can enhance the theoretical foundation and technical support for the processing of intelligent information.

Situational control and strategic choices during supply chain disruptions: case studies of SME exporters

PurposeMotivated by the severe impact of global supply chain disruptions and the lack of understanding of supply chain resilience from an SME exporter perspective in the international marketing literature, this paper sets out to explore how SME exporters achieve resilience through strategic choices related to sourcing and manufacturing during global disruptions.Design/methodology/approachThe study adopts a qualitative, multiple-case-studies approach to identify the key strategic drivers and contextual factors influencing SME exporters’ supply chain resilience. Our study adopted an SME exporter perspective and featured an unprecedented global supply chain disruption context. New Zealand (NZ) was chosen as the key home country context for the participants of this study. Five NZ SME exporters were selected for our case studies.FindingsThis study redefines buffering, bridging and a mixed strategy for an SME exporter facing global supply chain disruptions. SME exporters with high situational control are likely to pursue a buffering strategy that reduces their resource dependence on foreign suppliers and their reliance on information support from these suppliers. In contrast, when the firm perceives little control over the supply chain, it will decide upon a bridging strategy that aims to build solid relationships with supply chain partners. Exporters opt for a mixed strategy when they do not see themselves clearly in high or low situational control.Research limitations/implicationsAs global disruptions arise and evolve, supply chain uncertainty and exporters’ sense of situational control manifest differently across industries, product lines, markets and sourcing countries. It is essential to understand that firms can choose a mixed strategy based on these supply chain conditions. While our study was fortuitously timed, conducting multi-country studies could provide more comparative insights that transcend national borders. Additionally, our study did not examine organizational and capability-based factors. Future research may benefit from exploring how an SME exporter develops strategic capabilities to achieve resilience over its lifetime.Practical implicationsBusinesses see survival as the most pivotal concern during a global supply chain disruption. Many companies have had to make on-the-spot decisions about whether they should shift or redesign their supply chains in the middle of a global disruption. There is no “best strategy” for an SME exporter to take. Rather, managers should make strategic decisions based on how much control or influence they have over a particular part of their supply chain. The level of control is determined by the SME exporter’s overall resource dependencies and information needs in particular parts of their supply chain.Originality/valueWe adopt resource dependence theory and information processing theory to guide our study and place exporters' situational control in the centre of drivers to firms' strategic choices during global disruptions. We make a novel attempt to incorporate the contextual conditions of the COVID-19 pandemic into the theorization of supply chain resilience. We make managerial recommendations to help SME exporters navigate global supply chain disruption challenges.

Behind the curtain: exploring the inter-governmental collaboration mechanisms for e-governance platforms

PurposeTo fill the gap, this article examines the inter-governmental collaboration mechanisms behind the platform curtain.Design/methodology/approachBehind the curtain is to look at what makes things happen backstage. For collaborative e-governance platforms, scholars have assumed that technological factors and user characteristics are the determinants for platform success. Little attention has been paid to the issue of how multiple governments, acting as platform co-builders and co-operators, interact and collaborate backstage to provide integrated e-services.FindingsBased on data from survey questionnaires sent to government employees, the results show that governments’ information processing capacities cannot directly affect collaboration; however, these capacities can impact collaboration via the mediating variable of horizontal relations. In addition, we found that higher-ranking authorities are better suited to intervene once horizontal relations have been established and that more adaptable organizations are better at forming horizontal relations with peers. For governments participating in collaborative e-governance platforms, our findings are practically applicable.Originality/valueThe research question reads as: How do various government departments acting as platform co-builders and co-operators judge their collaboration performance, and what collaboration mechanisms contribute to it? We study this research question by constructing a conceptual model based on the Organizational Information Processing Theory (OIPT) and the Collaborative Governance Theory (CGT), both suggesting information processing capacities, organizational flexibility, horizontal relations and vertical intervention as indispensable factors influencing collaboration performance in ICT-supported groupwork. We propose and test four hypotheses on the relationships among these four factors to reveal the inter-governmental collaboration mechanisms for cross-government platformisation projects.

Role of big data analytics and information processing capabilities in enhancing transparency and accountability in e-procurement applications

Purpose Considering information processing theory, this study aims to examine how big data analytics (BDA) mediates the influence of e-procurement coordination (EPC) and e-procurement transactional (EPT) applications on transparency and accountability (TA) in the procurement processes of firms within the United Arab Emirates' private sector. Furthermore, it investigates the moderating role of information processing capabilities (IPCs) in the relationships among EPC, EPT and BDA to clarify their collective impact on enhancing TA and procurement performance. Design/methodology/approach Data were collected from procurement and information technology professionals in the UAE’s private sector through a Web-based survey. Established scales were used to assess e-procurement, BDA, TA, procurement performance and IPCs. Data were analyzed using partial least squares structural equation modeling. Findings Integrating e-procurement with BDA demonstrates the potential to improve TA and procurement performance in the UAE’s private sector. BDA is positively associated with EPC and EPT applications use, contributing to increased procurement TA and enhancing overall procurement performance. Practical implications Organizations can enhance procurement TA by adopting e-procurement and BDA technologies. Originality/value This study identifies the mediating role of BDA in the relationship between e-procurement and procurement TA. In addition, it investigates the moderating role of IPCs in the relationship between e-procurement and BDA.

Impact of sincere social interaction on tourist citizenship behavior——Perspective from “self” and “relationships

Research on tourist citizenship behavior (TCB) has gained increasing attention. However, the influence of host-tourist interaction on TCB is yet to be thoroughly explored. Utilizing the social information processing theory, this study develops a dual-mediation model to examine the influence of sincere social interaction on TCB, considering the perspectives of “self” and “relationship”, and examining the moderating effect of self-construal. The study empirically tests the moderated dual-mediation model. The results indicate that sincere social interaction directly impacts on TCB. Psychological comfort and emotional closeness mediate the relationship between sincere social interaction and TCB. Tourists' self-construal moderates the impact of sincere social interaction on emotional closeness, and sincere social interaction indirectly influences TCB through emotional closeness. The results underscore the substantial impact of sincere social interaction in fostering TCB, offering a comprehensive theoretical insight into the precise mechanisms by which sincere social interaction shapes TCB.

Development of the Better Research Interactions for Every Family (BRIEF) intervention to support recruitment for neonatal clinical trials: an intervention mapping guided approach

BackgroundRecruitment for neonatal clinical trials can be particularly challenging. Low enrollment rates bias the research population and decrease generalizability of findings. We identified a critical need for an intervention to improve how researchers recruit for neonatal clinical trials. Working within the US neonatal research context, we developed the Better Research Interactions for Every Family (BRIEF) Intervention, which had two overarching goals: to improve the recruitment experience for all parents, focusing on minoritized populations, and to increase participation, focusing on decreasing disparities in research participation.MethodsWe used intervention mapping (IM) to guide all steps of intervention development. IM is a planning framework that provides a systematic process and detailed protocol for step-by-step decision-making for intervention development, implementation, and evaluation.ResultsWe performed IM’s six steps. In step 1, we convened two stakeholder groups, a parent panel and an expert panel, who provided guidance through development of all BRIEF components. Through a recent systematic review, empirical data collected by our team, and consultations with the panels, we identified key determinants (barriers and facilitators) of low enrollment rates and research team members as change agents. In step 2, we iteratively refined our list of key factors to include and linked determinants of behavior changes to these performance objectives. In step 3, we chose three theories (social cognitive theory, theory of information processing, and the trans-theoretical model), methods from identified practical applications suitable for the population (research team members) and the context (busy research NICU teams). In step 4, we developed and refined the intervention components, including self-guided pre-work and a single in-person session. In step 5, we identified the Darbepoetin plus slow-release intravenous iron trial as our partner study in which to pilot BRIEF. In step 6, we developed a multi-stage evaluation plan that included five distinct levels of outcomes.ConclusionsThis manuscript shares our rationale and processes for the creation of a research team member-facing intervention aiming to improve recruitment processes for neonatal clinical trials. Our approach can inform those aiming to improve recruitment for neonatal clinical trials and those who may be considering use of IM within similar contexts.

How does data-driven supply chain analytics capability enhance supply chain agility in the digital era?

Supply chain analytics capability has recently gained more attention from both scholars and practitioners. Through the lens of information processing theory, this study examined how supply chain analytics capability impacts supply chain agility in the digital era with the associated adoption of digital technologies and platforms by companies. To obtain relevant data, a large-scale survey of Chinese manufacturing firms was conducted. Supply chain integration capability was evaluated as mediator and digital platform was evaluated as moderator. The results show that supply chain integration capability can mediate the effect of supply chain analytics capability on supply chain agility; moreover, supply chain analytics capability has a stronger impact on supply chain agility under a high level of digital platform adoption. These findings deepen the understanding of the role of supply chain analytics capability in supply chain management. This paper also provides managerial implications for enhancing supply chain agility in the digital era.

A Review of Classical Self-Regulated Learning Theories

Self-regulated learning is not only a specific behavioral strategy in the learning process of learners, but also equally an excellent learning quality of individual learners. This paper will introduce and analyze the theory of classical self-regulated learning, which can effectively help us understand the essence of self-regulated learning more deeply and deepen some knowledge about self-regulated learning. And the essence and scope of self-regulated learning will be elaborated from the information processing theory, social construction theory, social cognitive theory and volitional theory of self-regulated learning.

Integrating Multiple Theories: A Holistic Approach to Knowledge Acquisition for Senior Citizen Teachers

The article explores key theories such as Piaget's Cognitive Development, Vygotsky's Sociocultural Theory, Bruner's Constructivist Theory, Information Processing Theory, Social Cognitive Theory, Schema Theory, Experiential Learning Theory and Connectivism. Each theory's core concepts are analysed in the context of senior citizen teachers, highlighting their unique contributions to knowledge acquisition. The value of integrating multiple theories is discussed aiming to develop comprehensive framework. This integration explores the diverse learning needs of senior citizen teachers emphasizing social and cultural contexts, cognitive development stages, active learning strategies and technology integration. Through holistic approach, senior citizen teachers can enhance their teaching practices, boost student engagement and promote lifelong learning. Practical strategies for incorporating these theories include collaborative learning activities, experiential projects, reflective practices and digital resource utilization. Ultimately, the article advocates for a broad understanding of knowledge acquisition theories and their application in senior citizen education. By embracing this approach, senior citizen teachers can create enriching learning environments fostering personal and professional growth.

Integrating Multiple Theories: A Holistic Approach to Knowledge Acquisition for Senior Citizen Teachers

The article explores key theories such as Piaget's Cognitive Development, Vygotsky's Sociocultural Theory, Bruner's Constructivist Theory, Information Processing Theory, Social Cognitive Theory, Schema Theory, Experiential Learning Theory and Connectivism. Each theory's core concepts are analysed in the context of senior citizen teachers, highlighting their unique contributions to knowledge acquisition. The value of integrating multiple theories is discussed aiming to develop comprehensive framework. This integration explores the diverse learning needs of senior citizen teachers emphasizing social and cultural contexts, cognitive development stages, active learning strategies and technology integration. Through holistic approach, senior citizen teachers can enhance their teaching practices, boost student engagement and promote lifelong learning. Practical strategies for incorporating these theories include collaborative learning activities, experiential projects, reflective practices and digital resource utilization. Ultimately, the article advocates for a broad understanding of knowledge acquisition theories and their application in senior citizen education. By embracing this approach, senior citizen teachers can create enriching learning environments fostering personal and professional growth.

Supply chain concentration, digitalization and servitization of manufacturing firms

PurposeDigitalization and supply chain collaboration are central to the successful servitization of manufacturing firms. However, how digitalization interacts with supply chain structure to affect servitization decisions in manufacturing firms has been understudied. In this study, we bridge resource dependence theory (RDT) and information processing theory (IPT) to examine how supply chain concentration interacts with digitalization to affect servitization decisions in manufacturing firms.Design/methodology/approachWe tested the hypotheses using a panel dataset of 1,261 publicly listed machinery manufacturing firms in China. We addressed the endogeneity concerns using the control function approach and conducted multiple tests to ensure the robustness of the results.FindingsWe find that both supplier and customer concentration are negatively related to servitization, indicating that concentrated supplier and customer bases are hindrances to manufacturing servitization. Digitalization weakens the negative impact of customer concentration on servitization, but it strengthens the negative impact of supplier concentration on servitization.Originality/valueThe findings extend our understanding of supply chain structure and digitalization as determinants of servitization. This research also offers a nuanced view of how digitalization mitigates the negative impacts of supply chain concentration.

Effect of Transparency Initiatives on Public Trust in Government in Kenya

Purpose: To aim of the study was to analyze the effect of transparency initiatives on public trust in government in Kenya. Methodology: This study adopted a desk methodology. A desk study research design is commonly known as secondary data collection. This is basically collecting data from existing resources preferably because of its low cost advantage as compared to a field research. Our current study looked into already published studies and reports as the data was easily accessed through online journals and libraries. Findings: Transparency initiatives in Kenya have shown a positive impact on public trust in government. Efforts such as open access to government information, transparent budgeting processes, and public participation in decision-making have increased accountability and reduced corruption. These initiatives have led to greater citizen engagement and trust, as the public perceives the government to be more accountable and responsive to their needs. However, challenges remain in fully implementing these initiatives, and inconsistencies in transparency efforts can still undermine public trust. Unique Contribution to Theory, Practice and Policy: Social exchange theory, institutional theory & information processing theory may be used to anchor future studies on the effect of transparency initiatives on public trust in government in Kenya. Continuously improve online transparency portals by enhancing user interfaces, ensuring data accuracy, and expanding the scope of information available. Develop sector-specific transparency policies tailored to the unique needs of different governmental sectors (e.g., healthcare, education). This approach ensures that transparency initiatives address sector-specific challenges and enhance sector-specific public trust. Invest in training programs for public officials on transparency practices and the effective use of transparency tools.

Analysis of Industry 4.0 technological enablers for sustainable supply chain transparency in a fuzzy environment

AbstractThis study aims to identify various Industry 4.0 technological enablers and analyze their relationships in achieving transparency in sustainable supply chains. Initially, 17 Industry 4.0 technological enablers were selected based on an extensive literature review of sustainable supply chains and evaluated through Systems and Information Processing theories. Using the fuzzy Delphi method, these enablers were then narrowed down to 14 relevant ones. The reliability of these enablers was assessed by measuring their internal consistency using Cronbach's alpha (α) and McDonald's omega (ω). The fuzzy Decision‐Making Trial and Evaluation Laboratory (DEMATEL) method was then used to demonstrate that blockchain, cybersecurity, big data, and artificial intelligence (AI) are the most prominent and influential enablers for enhancing transparency in a sustainable supply chain. Additionally, the cause–effect relationship of other key enablers provides evidence for a feasibility study that links sustainability with transparency across the supply chain. These identified Industry 4.0 technological enablers can assist external stakeholders and policymakers in improving transparency and advancing sustainable supply chain practices.

Artificial intelligence and computer-mediated communication: the text analysis and undergrad’s class observation

The term “computer-mediated communication” (CMC) describes the transmission of messages and information using computer technology. With the extensive use of email, instant messaging, social media, and other digital platforms in Nepal in recent years, this style of communication has grown in popularity. The article examines how computer-mediated communication (CMC) and artificial intelligence (AI) have grown in significance in Nepal’s undergrad English education. This article allows students to collaborate on projects and tasks, which improves their learning experience, by examining the potential of AI and CMC. The facts of Nepal’s education have been examined using the four different basic literature reviews. Despite the need for further literature on artificial intelligence and computer-mediated communication in Nepal’s English classes for undergrads between 2018 and 2023, the studies reviewed shed light on the possibilities of technology and AI in language acquisition. Undergraduate class observation, self-administered text analysis, social information processing theory and experimental research, which involves adjusting variables to see how they affect learning results, were used to gather data. The study’s findings also demonstrate how using CMC platforms encourages students to practice their digital literacy. They gain knowledge on how to move through online spaces, efficiently communicate with a variety of digital tools, and assess the reliability of information sources. Students can communicate with their teachers outside of the classroom via video conferencing software and online discussion boards. This may result in more in-depth discussions and debates as well as greater student engagement.

Sustainability risk management: Exploring the role of artificial intelligence capabilities through an information-processing lens.

The global sustainability movement is reshaping the operational requirements and managerial approaches of maritime firms, resulting in the emergence of unprecedented and complex risks in the sector. This has driven maritime firms to leverage digital tools, such as artificial intelligence (AI) capabilities, to enhance their sustainability risk management (SRM) endeavors. Drawing on the organizational information-processing theory (OIPT), this study proposes four AI capabilities: customer value proposition, key process optimization, key resource optimization, and societal good. It examines their influence on sustainability-related knowledge management capabilities (SKMC), stakeholder engagement, and SRM. A survey questionnaire was used to gather responses from 157 maritime professionals across various sectors of the industry, providing empirical data for analysis. Employing structural equation modeling, the findings reveal that AI capabilities can improve SKMC. These findings enhance existing literature by using OIPT concepts to investigate the interplay among the constructs that lead to better SRM in maritime firms. Furthermore, the study offers managerial guidance by providing insights into AI capabilities that maritime firms should incorporate into their operations, fostering best practices to effectively manage sustainability risks and ensure the firm's long-term survival.

Cartographic Generalization of Islands Using Remote Sensing Images for Multiscale Representation

The multi-scale representation of remote sensing images provides various levels of image information crucial for decision-making in GIS applications and plays a significant role in information processing, data analysis, and geographic modeling. Traditional methods for multi-scale representation of remote sensing images often struggle to simplify local details of individual targets while preserving the overall characteristics of target groups. These methods also encounter issues such as transitional texture distortion and rough final boundaries. This paper proposes a novel multi-scale representation method for remote sensing images based on computer vision techniques, which effectively maintains the overall characteristics of target groups. Initially, the K-means algorithm is employed to distinguish between islands and oceans. Subsequently, a superpixel segmentation algorithm is used to aggregate island groups and simplify the generated boundaries. Finally, texture synthesis and transfer are applied based on the original image to produce the aggregated island images. Evaluation metrics demonstrate that this method can generate multi-scale aggregated images of islands, effectively eliminate redundant information, and produce smooth boundaries.

Exploring the Impact of Mindful Leadership on Employee Green Creativity in Manufacturing Firms: A Social Information Processing Perspective.

Increasingly, manufacturing enterprises are compelled to pursue innovative solutions to environmental issues. Addressing such issues requires mindful leadership to support employees and organizations in maintaining awareness during complex situations, which then promotes environmental sustainability. Drawing on social information processing theory, this study theorizes and tests the relationships between mindful leadership, employee moral reflectiveness, environmental passion, and employee green creativity. To test the model, we utilize a two-wave multisource dataset comprising 215 workers from manufacturing firms in China. The findings demonstrate that mindful leadership has a positive relationship with employee green creativity. Additionally, our research reveals that both moral reflectiveness and environmental passion serve as mediators in linking mindful leadership to employee green creativity. Crucially, our empirical analysis suggests a serial mediation model, examining the sequential role of moral reflectiveness and environmental passion in the relationship between mindful leadership and employee green creativity. The findings provide a new viewpoint on employees' eco-friendly behaviors and have practical implications for improving environmental sustainability within organizations.

Servant Leadership and Work–Family Conflict: The Dual Mediation Effects of Thriving at Work and Workaholism

ABSTRACTExtant research has uniformly demonstrated that servant leadership is beneficial for followers, teams, and even organizations. Drawing upon social information processing theory and social exchange theory, we challenge this prevalent conclusion by analyzing the dual impact mechanism of servant leadership on followers' work–family conflict. A total of 402 Chinese working adults responded to a three‐wave online questionnaire survey. The results revealed that: on the one hand, servant leadership can enhance thriving at work and reduce the work–family conflict of subordinates; on the other hand, servant leadership can also trigger workaholism in subordinates, which can increase work–family conflict. Traditionality of followers moderates the dual mechanism of servant leadership on work–family conflict. This study reveals the benefits and perils of servant leadership and the important role that traditionality plays in this unique leadership process.

The impact of digitalization on operational risk: An organizational information processing perspective

Digitalization has emerged as a mitigation tool for business risks. However, digitalization has not been effectively utilized because the mechanism of digitalization mitigating risks is still in the dark box. Drawing upon organizational information processing theory, we propose that digitalization reduces operational risk through internal control systems and supply chain networks (SCN). Based on the data of Chinese public firms from 2010 to 2019, we confirm that both improving internal control system quality and reducing SCN centrality are effective vehicles to help digitalization combat operational risk. Specifically, a high degree of digitalization leads to high-quality internal control systems, which, in turn, leads to low operational risk. Inversely, digitalization increases SCN centrality, which, in turn, leads to high operational risk. Furthermore, the positive mediation effect of SCN centrality is significantly more substantial than the negative mediation effect of internal control system quality. Subsequent moderating effect analysis shows that diversification does not impact the mediation effect of internal control system quality but strengthens the mediation effect of SCN centrality. This study deepens the understanding of the risk mitigation effect of digitalization and offers meaningful metrics for managers to prevent firms from suffering unexpected risks.

The influence of friends' person-organization fit during recruitment.

Although recruitment and perceptions of fit are inherently social-as they reflect the interactions between applicants and recruiting firms-applicants' social networks during recruitment can exert both positive and potentially negative consequences for subsequent applicant perceptions and behaviors. In this study, we examine the role of applicants' friends' perceptions of fit with the same recruiting organizations. Integrating ideas from social information processing theory and the person-organization (P-O) fit literature, we argue that friends' P-O fit perceptions drive social learning and social influence processes for applicants, thus predicting applicant perceptions and behaviors toward recruiting firms. In addition, we posit that the direct and indirect relationships between friends' P-O fit perceptions and applicants' own fit perceptions and job choices with recruiting firms are further strengthened by how centrally connected applicants are within their friend networks. Using a sample of 576 applicant-firm observations from 178 job applicants, we found that friends' P-O fit perceptions are positively related to applicant P-O fit perceptions and job choice decisions. Furthermore, applicants' position in their network-assessed via applicants' outdegree centrality within their friend group-strengthened the relationship between friends' P-O fit and applicant P-O fit as well as with their job choice decisions. Our research provides important theoretical and empirical findings on the influence of applicants' friends during recruitment. (PsycInfo Database Record (c) 2024 APA, all rights reserved).