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This study investigates the impact of supply chain governance (SCG, which includes relational governance and contractual governance) on supply chain resilience (SCR) using the information processing theory. Moreover, the study also examines the mediating role of information processing capability and the moderating role of digital technology (DT) deployment.

A total of 288 questionnaires were collected from the Chinese manufacturing industry, and hierarchical regression was used to empirically test the proposed model.

This study reveals that SCG positively impacts SCR. Moreover, information processing capability plays a mediating role between SCG and SCR. Furthermore, the breadth of DT deployment positively moderates the effect of relational governance on information processing capability, and the depth of DT deployment positively moderates the effects of both relational governance and contractual governance on information processing capability.

This study offers a novel perspective that helps to understand the importance of the supply chain-wide information acquired by SCG in respect of improving SCR. Furthermore, this article extends the application of information processing theory by providing empirical evidence of the mediating role of information processing capability and elucidating the moderating role of DT deployment.

Supply 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.

The hypothetical model is tested by using hierarchical regression on the primary samples collected from the Chinese manufacturing industry.

The 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.

This 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.

With the prevalence of enterprise social media (ESM), this study examines how the innovative and routine ESM use behaviors in the post-acceptance stage influence the quality and quantity dimensions of information processing (i.e. information equality and information overload), subsequently affecting employee autonomy grounded in the digital information management theoretical (DIMT) framework. This study further explores the moderating effects of communication visibility on the relationships between employee autonomy and each of the two information processing factors.

The proposed theoretical model was empirically validated using survey data of 266 knowledge workers that use ESM in a hybrid working context.

The results demonstrate that innovative and routine ESM use have different impacts on the quality and quantity dimensions of information processing, and information equality (quality dimension) improves employee autonomy as expected, but, surprisingly, information overloads (quantity dimension) as well. ESM communication visibility positively moderates the relationship between employee autonomy and each dimension of information processing.

Prior studies on ESM use widely focused on ESM's positive and negative outcomes and the mechanisms from the perspectives of employees' psychological and cognitive reactions. How ESM use behaviors in the post-acceptance stage empower employee autonomy and allow organizations to leverage the organizations' information technology (IT) investments remains unclear. Drawing on the information processing perspective, this study provides a novel angle to examine how to leverage IT values that stem from ESM use by considering the complementary roles of active and passive information processing.

This paper aims to demonstrate how consumer clickstream data from a leading hotel search engine can be used to validate two hidden information processing stages – first eliminate alternatives, then choose – proposed by the revered information processing theory of consumer choice.

This study models the two hidden information processing stages as hidden states in a hidden Markov model, estimated on consumer search behavior, product attributes and diversity of alternatives in the consideration set.

First, the stage of information processing can be statistically characterized in terms of consumer search covariates, including trip characteristics, use of search tools and the diversity of the consideration set, operationalized in terms of: number of brands, dispersion of price and dispersion of quality. Second, users are more sensitive to price and quality in the first rather than the second stage, which is closer to purchase.

The results suggest practical implications for how search engine managers can target consumers with appropriate marketing-mix actions, based on which information processing stage consumers might be in.

Most previous studies on validating the information processing theory of consumer choice have used laboratory experiments, subjects and information display boards comprising hypothetical product alternatives and attributes. Only a few studies use observational data. In contrast, this study uniquely uses point-of-purchase clickstream data on actual visitors at a leading hotel search engine and tests the theory based on real products, attributes and diversity of the consideration set.

The purpose of this study is to provide researchers with a better understanding of the cultural impact on information processing in virtual learning environment.

This study uses a causal loop diagram to depict the cultural impact on information processing in the virtual human resource development (VHRD) learning platform. This study takes a theoretical approach and examines current literature pertaining to VHRDs, virtual worlds (VWs), system dynamics, causal loop diagrams (CLDs) and cross-cultural studies.

This study provides a conceptual model to describe and discuss the cultural impact on information processing in VHRD.

Literature has begun to reflect the concerns with cultural impact in VHRD; however, research is still in the beginning stages. This study proposes a conceptual model of information processing that includes the cultural impact. Future work based on this study will continue to test and improve the conceptual model.

The conceptual model accounts for the complexities of the interaction between internal and external information processing systems. Instructional designers or educators can apply this conceptual model to understand the impact of culture on information process during training programs in the VHRD environment. With this model, they could provide an effective or efficient training programs for their trainees.

The conceptual model adopts a systemic viewpoint to describe the cultural impact on VHRD. For future studies, researchers could adopt this conceptual model to further illustrate the association between understanding information processing and recognizing the cultural impact on information processing.

This study provided a framework for HRD researchers and practitioners to detect challenges and opportunities to work with cultural impact on information processing in VHRD. Instructional designers or educators could utilize this model to understand the process, and further offer an effective or efficient training programs for their trainees.

This paper aims to analyze and quantitatively compare existing empirical findings on the role of organizational information‐processing and new product outcomes. The meta‐analytic technique is used to reconcile some of the current divergent thinking on the role of organizational learning in new product success.

The method and procedure of the meta‐analysis are utilized to generalize existing empirical findings regarding the role of information processing in new product success by evaluating homogeneity of the obtained results, and measurement‐ and context‐related moderators of the relationship magnitude. It reports and discusses the results, and proposes theoretical and managerial implications of the findings.

The meta‐analysis of the relationship between organizational information processing and new product success supports an overall positive effect, and identifies measurement‐ and context‐related moderators influencing the magnitude of the relationship.

The analysis, done on the limited number of available effect sizes (77) due to the newness of the area, provides guidance to future researchers by clarifying operationalization and measurement of the main constructs, and suggesting the role of context variables for sampling purposes.

The paper provides guidance to New Product Development (NPD) team leaders by emphasizing the need for integrating information‐related processes and idea management at various NPD stages, and stressing better effectiveness of information processing at the team level.

This first meta‐analysis in the area of information processing and new product outcomes confirms the importance of organizational learning in new product development and outlines important implications for future research and managerial practice.

The purpose of this paper is to investigate the mediators that occupy the gap between information processing theory and supply chain agility. In today’s Mach speed business environment, managers often install new technology and expect an agile supply chain when they press<Enter>. This study reveals the naivety of such an approach, which has allowed new technology to be governed by old processes.

This work takes a qualitative approach to the dynamic conditions surrounding information processing and its connection to supply chain agility through the assessment of 60 exemplar cases. The situational conditions that have created the divide between information processing and supply chain agility are studied.

The agility adaptation typology (AAT) defining three types of adaptations and their mediating constructs is presented. Type 1: information processing, is generally an exercise in synchronization that can be used to support assimilation. Type 2: demand sensing, is where companies are able to incorporate real-time data into everyday processes to better understand demand and move toward a real-time environment. Type 3: supply chain agility, requires fundamentally new thinking in the areas of transformation, mindset and culture.

This work describes the reality of today’s struggle to achieve supply chain agility, providing guidelines and testable propositions, and at the same time, avoids “ivory tower prescriptions,” which exclude the real world details from the research process (Meredith, 1993). By including the messy real world details, while difficult to understand and explain, the authors are able to make strides in the AAT toward theory that explains and guides the manager’s everyday reality with all of its messy real world details.

The purpose of this paper is to employ organizational information processing theory to assess how a firm's information processing requirements and capabilities combine to affect the intention to adopt cloud computing as an enabler of electronic supply chain management systems. Specifically, the paper examines the extent to which task uncertainty, environmental uncertainty, and inter‐organizational uncertainty affect intention to adopt cloud computing technology and how information processing capability may moderate these relationships.

The paper uses a multiple method approach, thus examining the hypothesized model with both quantitative and qualitative methods. To begin, the paper incorporates a Delphi study as a way in which to choose a practically relevant characterization of the moderating variable, information processing capability. The authors then use a survey method and hierarchical linear regression to quantitatively test their hypotheses. Finally, the authors employ interviews to gather additional qualitative data, which they examine via use of content analysis in order to provide additional insight into the tenability of the proposed model.

The quantitative analysis suggests that significant two‐way interactions exist between each independent variable and the moderating variable; each of these interactions is significantly related to intention to adopt cloud computing. The qualitative results support the assertion that information processing requirements and information processing capability affect intention to adopt cloud computing. These findings support the relationships addressed in the hypothesized model and suggest that the decision to adopt cloud computing is based upon complex circumstances.

This research is limited by the use of single key informants for both the quantitative and qualitative portions of the study. Nonetheless, this study enhances understanding of electronic supply chain management systems, and specifically cloud computing, through the application of organizational information processing theory. The authors’ mixed‐methods approach allowed them to draw more substantive conclusions; the findings provide a theoretical and empirical foundation for future research in this area, and also suggest the use of additional theoretical perspectives.

This study provides insight that can help supply chain managers to better understand how requirements, when coupled with capabilities, may influence the decision to adopt cloud computing as an enabler of supply chain management systems.

As an emerging technology, cloud computing is changing the form and function of information technology infrastructures. This study enhances the understanding of how this technology may diffuse within the supply chain.

The purpose of this article is to elaborate the picture of the processes of information use by comparing conceptualizations provided by the constructivist approach and the human information processing approach.

The article is a conceptual analysis of major articles characterizing information use and human information processing in the fields of information studies and consumer research.

It is found that both research approaches share the assumption that interpreting, relating and comparing qualities of things is fundamental to the information use process.

The picture of information use processes is based on the comparison of two research approaches only.

Compared to the numerous studies on information needs and seeking, the questions of information use have remained under‐researched. The study elaborates the conceptual picture of information use processes by identifying similarities and differences between two major research approaches.

The purpose of this paper is to inform readers on what is known on information processing in virtual teams and to discuss the consequences of these findings for the management of virtual teams.

Systematic review of the literature on information processing in virtual teams based on a general information processing model for teams.

An overview of the most relevant factors that influence the effectiveness of virtual teams is provided.

The review is based on existing literature on virtual teams and it discusses future research directions opened by the conceptualization of virtual teams as information processing systems.

The paper identifies the factors that can improve the effectiveness of information processing in virtual teams.

The general information‐processing model for teams enables a systematic integration of the fragmented literature on virtual teams.