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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.

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 paper aims to investigate the effect of a model's eye gaze direction on the information processing behavior of consumers varying based on their gender.

An eye-tracking experiment and a memory test are conducted to test the research hypotheses.

Compared to an averted gaze, a model with a direct gaze attracts more attention to the model's face among male consumers, leading to deeper processing. However, the findings show that when a model displays a direct gaze rather than an averted gaze, female consumers pay more attention to the brand name, thus leading to deeper processing.

This study contributes to not only the existing eye gaze direction literature by integrating the facilitative effect of direct gaze and considering the moderating role of consumer gender on consumer information processing but also the literature concerning the selectivity hypothesis by providing evidence of gender differences in information processing. Moreover, this study offers practical insights to practitioners regarding how to design appealing webpages to satisfy consumers of different genders.

The peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-01-2020-0025

The major principles for designing the learning organization as an information processing system are derived from systems paradigm, information theory, and cybernetics. The need for these principles is demonstrated by the information pathologies in the classical and contingency design of the organization and information imperatives for designing the organization for the information age. An information processing model that extends the classical and contingency principles for organizational design is developed to provide a new organization model for effective learning. The effectiveness of the learning organization can be partially attributed to the design of the organization as an information processing system. The organization learns, adapts, and responds to innovative change through its information subsystems.

The ‘Office of the Future’, ‘Office Technology’, ‘Word Processing’, ‘Electronic Mail’, ‘Electronic Communications’, ‘Convergence’, ‘Information Management’. These are all terms included in the current list of buzz words used to describe current activities in the office technology area. Open the pages of almost any journal or periodical today and you will probably find an article or some reference to one or more of the above subjects. Long, detailed and highly technical theses are appearing on new techniques to automate and revolutionize the office environment. Facts and figures are quoted ad nauseam on the high current cost of writing a letter, filing letters, memos, reports and documents, trying to communicate with someone by telephone or other telecommunication means and, most significant of all, the high cost of people undertaking these never‐ending tasks. The high level of investment in factories and plants and the ever‐increasing fight to improve productivity by automating the dull, routine jobs are usually quoted and compared with the extremely low investment in improving and automating the equally tedious routine jobs in the office environment; the investment in the factory is quoted as being ten times greater per employee than in the office. This, however, is changing rapidly and investment on a large scale is already taking place in many areas as present‐day inflation bites hard, forcing many companies and organizations to take a much closer look at their office operations.

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 investigate how information and communication technology (ICT) impacts firm performance, by changing the information processing ability of a firm.

It takes the firm as information processing unit to coordinate production in an industry with two‐stage production and demand uncertainty. ICT is assumed to improve the information processing ability. It models that, conditional on the structure of markets described by level of uncertainty, a firm with information processing ability comes into being endogenously from market‐coordinated production, with profit generated.

It is argued that the profit of the firm depends on both the structure of markets, and the firm's information processing ability. The improving information processing ability increases firm profitability as long as market‐coordinated production persists elsewhere. However, when the improving information processing ability enables enough firms to compete with no market‐coordinated production left, it decreases profitability of all firms. Finally, case studies on the wholesale and retail industry and the finance and insurance industry of ten OECD countries presents consistent evidence that ICT does not necessarily bring better performance.

This paper is an innovation based on several streams of literature to model a firm with the consideration of specialization, demand uncertainty, and information processing ability. It thus provides a different perspective on how ICT contributes to firm performance. It theoretically and empirically shows that such contributions are conditional on market structure of a certain industry.

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 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.