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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.

Drawing inspiration from the organizational information processing theory, the technology acceptance model (TAM) and the theory of motivation, this study aims to examine the acceptance of private and public blockchain technology-based collaboration among supply chain practitioners.

A total of 257 samples were collected through a survey from supply chain practitioners. The study used parallel mediators of perceived usefulness (extrinsic motivation) and perceived ease of use (intrinsic motivation) to measure behavioral intention to use.

The results reveal that partial mediation exists between blockchain-based collaboration (private and public) and behavioral intention to use. For perceived usefulness, a stronger mediating effect was found between private blockchain-based collaboration and behavioral intention to use. For perceived ease of use, a stronger mediating effect was found between public blockchain-based collaboration and behavioral intention to use.

By integrating insights from the organizational information processing theory, the TAM and the theory of motivation, this study provides an in-depth understanding of how the distinct features of information processing in blockchain technology-based collaboration influence the supply chain practitioners’ to accept it. The novelty and results of the study expand the existing literature and pave the way for future research.

Many researchers and practitioners suggest a contingent instead of a “one size fits all” approach in business process management (BPM). The purpose of this paper is to offer a contingency theory of BPM, which proposes contingency factors relevant to the successful management of business processes and that explains how and why these contingencies impact the relationships between process management and performance.

The authors develop the theory by drawing on organizational information processing theory (OIPT) and applying an information processing (IP) perspective to the process level.

The premise of the model is that the process management mechanisms such as documentation, standardization or monitoring must compensate for the uncertainty and equivocality of the nature of the process that has to be managed. In turn, managing through successful adaptation is a prerequisite for process performance.

The theory provides a set of testable propositions that specify the relationship between process management mechanisms and process performance. The authors also discuss implications of the new theory for further theorizing and outline empirical research strategies that can be followed to enact, evaluate and extend the theory.

The theory developed in this paper allows an alternative way to describe organizational processes and supports the derivation of context-sensitive management approaches for process documentation, standardization, monitoring, execution and coordination.

The theoretical model is novel in that it provides a contextualized view on BPM that acknowledges different types of processes and suggests different mechanisms for managing these. The authors hope the paper serves as inspiration both for further theory development as well as to empirical studies that test, refute, support or otherwise augment the arguments.

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 study is to explore how demolition contractors coordinate project activities for buildings at their end-of-life. The organizations are thereby conceptualized as information processing systems facing uncertainty.

A multiple-case study methodology was selected to gain in-depth insights from three projects with different end-of-life strategies: a faculty building (material recycling), a nursing home (component reuse) and a psychiatric hospital (element reuse). Using a theory elaboration approach, the authors sought to explain how and why demolition contractors process information for end-of-life coordination.

End-of-life strategies differ in the degree of building, workflow and environmental uncertainty posed to the demolition contractor. Whether or not a strategy is effective depends on the (mis)match between the specific levels of uncertainty and the adopted coordination mechanisms.

The explanatory account on end-of-life coordination refines information processing theory for the context of (selective) demolition projects.

The detailed case descriptions and information processing perspective enable practitioners to select, implement and reflect on coordination mechanisms for demolition/deconstruction projects at hand.

Reflecting its dual conceptual-empirical and inductive-deductive focus, this study contributes with new opportunities to explain building end-of-life coordination with a refined theory.

Technologies change quickly in the automotive industry. This can provide opportunities to firms from emerging economies who try to enter the world stage of automotive production, provided they can react to this more nimbly than established competitors. How technological change affects the supply chain coordination of incumbents from developed economies and new entrants from emerging economies should strongly determine the speed of competitive reaction. By using the example of automotive transmission development, the purpose of this paper is to provide a conceptual model for the analysis and offer research propositions.

The authors build a conceptual model based on information processing theory and offer research propositions based on case study evidence of four automotive original equipment manufacturers (OEMs) and five suppliers.

The authors find symptoms of two larger trends: increasing specialization and technological linkages and a need to increase external supply chain integration beyond traditional structures. Comparing the effects on Japanese and German incumbents, the authors find that increasing external supply chain linkages proves to be harder for Japanese OEMs. Tight links and routines in the Japanese supply chain networks may harm OEM efficiency under the new technological conditions, e.g. the lack of complete part specifications and high demands for customization. Looking at effects on emerging market firms, Chinese OEMs use quasi-open modular production settings in transmission development and lean strongly on inputs from specialized foreign tier-one suppliers. Speed advantages must be weighed against long-term disadvantages of dependence and insufficient R&D investments.

The study explores how technological change affects inter-firm development processes. The authors propose a framework and hypotheses based on information processing theory and link the findings to the discussion on the impact of national institutional context on supply chain coordination.

OEMs wanting to adapt complex existing internal structures to the changing demands for information processing should focus first on improving internal capacities by improving the amount and richness of information flow. Implementing new standards for simultaneous and standardized software development across the supply chain is a key point for this. A second step should be to boost the internal capacity to process higher richness of information, i.e. to understand the meta-knowledge necessary to integrate across technological areas in the development of electronic control units (ECUs).

The authors draw on original interview data in developed and emerging markets and information processing theory to explore the complexity of inter-firm coordination in automotive supply chains.

While researchers and practitioners agree on the importance to adapt business process management (BPM) practices to the nature of processes, the authors observe a lack of research on how to most meaningfully distinguish processes in order to apply context-specific BPM practices that increase process efficiency and effectiveness. The purpose of this paper is to systematically analyze the nature of processes as one contextual factor for BPM.

Based on a literature review, the authors systematically derive process dimensions that describe the nature of processes and apply an information-processing perspective to the process level as a theoretical lens through which to analyze and structure these process dimensions.

The authors identified 36 dimensions used to describe process differences that can be consolidated into five generic dimensions based on an information-processing perspective: interdependence of process participants, differentiation of process participants, process analyzability, variability, and importance.

The paper derives process dimensions from the literature and links them to extant theories as a foundation for context-sensitive BPM. The findings serve as a basis for further conceptualizing BPM and for explaining seemingly contradicting findings about whether management practices increase or decrease organizational performance.

While the paper focuses on understanding and explaining process differences, the authors also demonstrate how these dimensions can be used to make strategic management decisions in order to increase the effectiveness and efficiency of processes.

The authors systematically conceptualize process differences as a foundation for contingent process management. In addition, the authors demonstrate that organizational processes provide a new field of application for information-processing theory.

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.

This study aims to examine the impact of environmental scanning on organizational resilience through organizational learning based on organizational information processing theory (OIPT) in Egyptian small and medium-sized enterprises (SMEs) during the COVID-19 pandemic. Furthermore, this study aims to examine the moderating role of environmental uncertainty in this relationship.

The data for the mediation analysis was obtained using a cross-sectional design. Using a self-administered questionnaire, the authors collected data from a sample of 249 Egyptian SMEs. The authors tested the hypotheses using the smart partial least square structural equation modeling approach.

Organizational learning affects organizational resilience. Environmental scanning does not have a direct effect on organizational resilience. However, organizational learning fully mediates the relationship between environmental scanning and organizational resilience. Furthermore, environmental uncertainty does not moderate the indirect relationship between environmental scanning and resilience.

The sample included only Egyptian manufacturing SMEs. The results in the service sector and in other countries may differ. This study was cross-sectional, which was limited in its ability to trace the long-term effects of environmental scanning and organizational learning on organizational resilience.

Egyptian SMEs’ managers should experience organizational learning as a pathway for environmental scanning to build organizational resilience.

To the best of the authors’ knowledge, this study is the first to investigate the role of environmental scanning in building organizational resilience through organizational learning and the moderating role of environmental uncertainty in this relationship.

This paper aims to examine the link between information systems (IS) agility, HR performance management systems and job satisfaction using organizational information processing theory. The objective of this study answers the following questions: How does use of different IS agility impact HR systems and job satisfaction? What are the connecting pathways by which IS agility affects HR systems and job satisfaction?

The authors developed a theoretical framework based on the organizational information processing theory and collected primary data through an online-based questionnaire. Following these procedures, the authors analyzed the data using structural equation modeling (SEM).

SEM analysis of the data from 150 respondents supports the organizational information processing theory. The authors proposed eight hypotheses, and only one was rejected.

The data were collected from South Africa only, which is an emerging economy, and these cross-sectional data were gathered from the perspectives of the respondents.

The present paper empirically tests the conceptual model through the lens of organizational information processing theory.