The impact of cross-functional coordination on customer coordination and operational performance: an information processing view

PurposeSupply chain resilience (SCR) has attracted much attention in the context of the high uncertainty caused by the coronavirus disease 2019 (COVID-19), local regional conflicts and natural disasters. Based on information processing theory (IPT), this study investigates the role of supply chain information processing capability in enhancing SCR through supply chain governance (SCG), under different conditions of environmental uncertainty.Design/methodology/approachThe hypothetical model is tested by using hierarchical regression on the primary samples collected from the Chinese manufacturing industry.FindingsThe results indicate that supply chain information processing capability has a significant positive effect on SCR. Also, SCG plays a mediating role between supply chain information processing capability and SCR. Furthermore, environmental uncertainty positively moderates the effect of supply chain information acquisition and supply chain information analysis on relational governance. However, environmental uncertainty only positively moderates the effect of supply chain information analysis on contractual governance.Originality/valueThis is the first study to explain the effect of information processing capability on SCR from the supply chain perspective, while also exploring the mediating role of SCG between SCR and supply chain information processing capacity, based on IPT.

This chapter provides an overview of precursors to the information processing view of learning and cognition and on research aimed at understanding how knowledge is represented and processed in human minds. Classic and the constructivist versions of an information processing view are described. Three major contributions of information processing theories are examined, including cognitive task analysis, the mental representations used to explain knowledge, memory, learning, and thinking, and architectural models of the human information processing system. Major assumptions underlying a contemporary information‐processing model are outlined to exemplify each of these points. Information processing theories of learning and cognition are related to three critical subject matter domains: reading, writing, and mathematics.

This article explores how digital procurement can significantly enhance supply chain resilience, drawing on the lens of Information Processing Theory (IPT). In an increasingly volatile and complex global environment, supply chains face heightened risks of disruption, requiring firms to improve their ability to acquire, process, and act upon critical information. Digital procurement technologies, including advanced analytics, cloud platforms, and artificial intelligence, expand the information-processing capabilities of organizations by enabling superior data integration, transparency, and collaborative decision-making. Through a theoretical discussion anchored in IPT, this paper elucidates how digital procurement reduces information asymmetry and increases processing speed and accuracy, thereby supporting more agile and robust responses to supply chain disruptions. The article systematically analyzes mechanisms such as real-time data sharing, predictive analytics, and automation of procurement processes, highlighting their roles in enhancing situational awareness and response capabilities. Moreover, it discusses how digital procurement facilitates coordination across diverse supply network actors, strengthening collective resilience. The study contributes to the literature by integrating IPT with digital procurement research, offering a novel conceptual framework to explain the linkages between technology-enabled information processing and supply chain resilience. This perspective underscores the importance of investing in digital procurement not merely as an efficiency driver but as a critical enabler of strategic resilience. Implications for managers and policymakers are also discussed, emphasizing the need to prioritize digital transformation initiatives that enhance information flow and processing throughout the supply chain. Overall, this article offers valuable theoretical and practical insights into leveraging digital procurement to build more resilient and adaptive supply chains.

An information processing perspective on supply chain risk management: Antecedents, mechanism, and consequences

This study examines cross-functional teams and their impact in line with operational performance and system effectiveness after the implementation of intelligent information and retrieval systems in organisations. Multiple regression analysis was used to determine the structural relationships and look for the phenomenon of cross-functional teams, operational effectiveness, and system effectiveness in the betterment of operational performance. Preliminary findings suggest that the quality and speed from operational effectiveness and the quality of information and quality of the services from systems effectiveness are the two key factors for cross-functional teams to enhance operational performance.

Clinical reasoning assessment is an essential component of determining a health professional’s competence. Clinical reasoning cannot be assessed directly. It must be gleaned from a health professional’s choices and decisions. Clinical knowledge and knowledge organization, rather than a general problem solving process, serve as the substrate for clinical reasoning ability. Unfortunately, the lack of a gold standard for the clinical reasoning process and the observation of context specificity make it difficult to assess clinical reasoning. Information processing theory, which focuses on the way the brain processes and organizes knowledge, has provided valuable insights into the cognitive psychology of diagnostic and therapeutic reasoning but failed to explain the variance in health professional’s diagnostic performance. Situativity theory has emerged suggesting that this variance relates to context-specific factors that impact a health professional’s clinical reasoning performance. Both information processing and situativity theory inform the way in which we assess clinical reasoning. Current assessment methods focus on standardized testing of knowledge to maximize psychometric parameters and work-based assessments which evaluate clinical reasoning under authentic, uncertain conditions that can decrease the reliability of these measurements. Issues of inter-rater reliability and context specificity require that multiple raters assess multiple encounters in multiple contexts to optimize validity and reliability. No single assessment method can assess all aspects of clinical reasoning; therefore, in order to improve the quality of assessments of clinical reasoning ability, different combinations of methods that measure different components of the clinical reasoning process are needed.

PurposeIncreased requirements for competitiveness, innovation, quality, flexibility and information processing capability has led a number of small and medium‐sized enterprises (SMEs) to implement advanced manufacturing technologies (AMT). Seeks to explore this.Design/methodology/approachUsing a contingency theory perspective, a survey study of 118 Canadian manufacturers was made to determine the performance outcomes of the “fit” or alignment between the critical success factors (CSFs) of operations management in SMEs and their level of proficiency in the use of AMT.FindingsIt was found that while increased CSF and AMT assimilation levels directly impact operational performance in terms of increased productivity, cost reductions, flexibility, quality, and integration, a mismatch between the two significantly reduces performance. From an information processing view of the firm, it was also found that increased uncertainty in the SMEs' environment leads to increased CSF levels but not to increased assimilation of AMT.Research limitations/implicationsCommon to survey studies, the nature of the sample and perceptual nature of certain measures impose care in generalizing the results of the study.Originality/valueProvides information showing that enterprises must increase their ability to manage both manufacturing and information technologies.

Organizational mindfulness towards digital transformation as a prerequisite of information processing capability to achieve market agility

This study applies the risk information seeking and processing (RISP) model to examine how information processing influences individuals’ support for climate change mitigation policy. Perceived issue salience, attitude toward climate information, and systematic processing are positively related to policy support, whereas heuristic processing is not a significant predictor. The direct and indirect relationships illustrated in the model help expand the utility of the risk information seeking and processing model to address policy support. From an applied perspective, this study suggests important pathways to encourage systematic processing of information related to climate change, which may lead to increased public support for mitigation policies.

Matching as Service Provision of Sharing Economy Platforms: An Information Processing Perspective

Purpose Supply chain social capital (SCSC) has become indispensable in supply chain management owing to its relevance in achieving competitive advantage. Despite the far-reaching attention that scholars and practitioners have paid to the concept, when and how SCSC can drive enhanced operational performance is less understood. Through the lens of social capital and contingency theories, we attempt to fill this gap by examining the extent to which (1) SCSC could drive operational performance (OP), (2) supply chain quality integration (SCQI) may mediate SCSC and OP and (3) the influence of SCSC on SCQI and OP may vary at different levels of absorptive capacity (AC) and institutional environment (IE). Design/methodology/approach This study tests the proposed model using survey data from 341 managers of manufacturing firms in Ghana. Structural equation modeling was employed to validate the model and test the hypotheses. Findings The findings reveal that SCSC significantly enhanced both OP and SCQI. They further showed that SCQI directly and partially mediates SCSC and OP. IE significantly moderated the SCSC-OP nexus. Similarly, AC moderated the SCSC-SCQI relationship. Practical implications This study offers valuable insights for managers and policymakers, suggesting that firms should simultaneously develop SCSC and quality integration strategies to achieve superior OP, while considering the institutional environment and developing absorptive capabilities. Originality/value This study is among the few attempts to unearth the mechanism (SC quality integration) and boundary conditions (absorptive capacity and institutional environment) through which resources embedded in supply chain networks can best be leveraged to drive operational excellence. Although several factors have been identified that influence the performance implications of social capital, the integration of quality within the supply, absorptive capacity and institutional environment is rare.

This article seeks to integrate two concepts, motor heuristics (Raab, 2017. Motor heuristics and embodied choices: How to choose and act. Current Opinion in Psychology, 16, 34–37) and movement analogies (Masters, 2000. Theoretical aspects of implicit learning in sport. International Journal of Sport Psychology, 31(4), 530–541), into a new theory: the Theory of Simplified Information Processing during Actions. Following the two-step theory integration programme proposed by Gigerenzer (2017. A theory integration program. Decision, 4(3), 133–145), we first describe the commonalities and differences between empirical phenomena associated with motor heuristics and movement analogies, and then analyse how the two concepts produce functionally equivalent outcomes. Both motor heuristics and movement analogies try to explain how actions can be performed with minimal cognitive effort, especially in circumstances where information overload may occur. They emphasise the power of simplicity, postulating that “less-is-more” when it comes to the information that needs to be processed to enable successful sports performance. The functionally equivalent outcome of simplified information processing is achieved by different cognitive means: Motor heuristics simplify movement selection by rank ordering information, whereas movement analogies are thought to simplify movement execution by chunking information. Empirically testing the predictions and assumed mechanisms of the Theory of Simplified Information Processing during Actions will improve our understanding of how humans effectively select and execute movements in situations in which information processing demands are high. Understanding how information is efficiently processed to guide actions will allow practitioners to develop effective evidence-based interventions that help to stabilise and improve performance in demanding sports settings.

Acquisition of supply market intelligence – An information processing perspective

While business analytics is being increasingly used to gain data-driven insights to support decision making, little research exists regarding the mechanism through which business analytics can be used to improve decision-making effectiveness (DME) at the organizational level. Drawing on the information processing view and contingency theory, this paper develops a research model linking business analytics to organizational DME. The research model is tested using structural equation modeling based on 740 responses collected from U.K. businesses. The key findings demonstrate that business analytics, through the mediation of a data-driven environment, positively influences information processing capability, which in turn has a positive effect on DME. The findings also demonstrate that the paths from business analytics to DME have no statistical differences between large and medium companies, but some differences between manufacturing and professional service industries. Our findings contribute to the business analytics literature by providing useful insights into business analytics applications and the facilitation of data-driven decision making. They also contribute to managers’ knowledge and understanding by demonstrating how business analytics should be implemented to improve DME.

Local versus global sleep organization and the quest to determine sleep function☆