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Research on market information use in product innovation suggests that firms utilize two key strategic decision-making processes: incremental and comprehensive. Drawing from organizational information processing theory, literature implies that these processes operate differently. However, this assumption remains untested. Moreover, the degree to which a comprehensive process affects the innovation strategy outcomes depends on market information time sensitivity (MITS) and analyzability. To-date, no study has tested these assertions, either. Finally, it is suggested that meaningful market strategy is a key driver of new product success and it is important to understand how decision-making processes influence it under differing time sensitivity and analyzability.

Based on survey data from 250 Chinese firms, authors use structural equation modeling to test the hypotheses.

The results generally support authors’ contentions. More specifically, marketing strategy outcomes are influenced by marketing strategy incrementality (MSI) and marketing strategy comprehensiveness (MSC) differently. Further, time sensitivity moderates the effect of both MSI and MSC on outcomes, except for the effect of MSI on decision quality. Finally, analyzability moderates the relationships between decision making processes and certain strategy outcomes such as between MSI and meaningfulness.

Drawing from information processing theory, authors argue that incremental and comprehensive marketing strategy decision making for new product operate differentially under the same conditions. Further, the effects of these decision processes on outcomes depend on time sensitivity and analyzability of market information. Finally, auhtors argue that meaningful market strategy is a driver of success. The authors find support for most of our hypotheses and provide directions for future research.

The purpose of this paper is to review the current application of organization theory (OT) in the humanitarian supply chain (HSC) and identify the future OT-based research opportunities that can advance knowledge of humanitarian operations.

The study uses a systematic literature review methodology to identify the current status and future direction of the OT-based study in HSC literature. The applied theories are those that have been mentioned in at least two research articles in the HSC literature. The proposed theories are either adopted from the top four referred organizational theories in the supply chain literature or those that can explain the issue of information asymmetry in HSC.

The study identifies and describes eight organizational theories and their possible future research questions in HSC. Among these, the first four theories (i.e. resource-based theory, resource dependence theory, social exchange theory and contingency theory) have already been initially applied in the humanitarian field, while the remaining theories (i.e. institutional theory, stakeholder theory, transactional cost theory and information theory) have potential for future application.

The reviewed literature is limited to peer-reviewed journals listed in Thomson Reuters’ journal citation reports.

This study may help future researchers better understand and solve, using organizational theory, the behavioral challenges faced by humanitarian operations.

The study presents current applications of and future prospects for OT-based research in HSC, effectively providing the first review of OT applications in this area. The novel framework and new theories proposed herein may enable fresh directions for HSC research.

COVID-19 and its economic consequences have provoked critical views on worldwide sustainable management, especially in the Arab world. Post-COVID-19, sustainability becomes important because the pandemic taught humanity to set aside differences and work together to support the global sustainability agenda. On the organizational level, sustaining an organization's competitive advantage is a key to surviving a crisis. Therefore, this study explores the impact of environmental scanning on sustaining Egyptian manufacturing SMEs' competitive advantage through organizational innovation.

The study adopts a cross-sectional design to collect data. A self-administered questionnaire was used to collect data from a sample of 249 Egyptian SMEs. The smart partial least square structural equation modeling technique (PLS-SEM) was employed to test hypotheses.

Organizational innovation has an effect on competitive advantage. There is no direct effect of environmental scanning on competitive advantage. However, organizational innovation fully mediates the relationship between environmental scanning and competitive advantage.

The sample size was small, covering only Egyptian manufacturing SMEs. The results may differ in the service sector and in other countries. The study was cross-sectional and could not trace long-term effects of environmental scanning and organizational innovation on competitive advantage.

In the face of crises, Egyptian SMEs' managers should regularly scan their environments to build organizational innovation and in turn sustain their competitive position.

This study is amongst the first to investigate the role played by environmental scanning in sustaining Egyptian SMEs competitive advantage through the mediation of organizational innovation amidst the COVID-19 epidemic.

Inter-organisational governance is an important enabler for information processing, particularly in relationships undergoing digital transformation (DT) where partners depend on each other for information in decision-making. Based on information processing theory (IPT), the authors theoretically and empirically investigate how governance mechanisms address information asymmetry (uncertainty and equivocality) arising in capturing, sharing and interpreting information generated by digital technologies.

IPT is applied to four cases of public–private relationships in the Dutch infrastructure sector that aim to enhance the quantity and quality of information-based decision-making by implementing digital technologies. The investigated relationships are characterised by differing degrees and types of information uncertainty and equivocality. The authors build on rich data sets including archival data, observations, contract documents and interviews.

Addressing information uncertainty requires invoking contractual control and coordination. Contract clauses should be precise and incentive schemes functional in terms of information requirements. Information equivocality is best addressed by using relational governance. Identifying information requirements and reducing information uncertainty are a prerequisite for the transformation activities that organisations perform to reduce information equivocality.

The study offers insights into the roles of both governance mechanisms in managing information asymmetry in public–private relationships. The study uncovers key activities for gathering, sharing and transforming information when using digital technologies.

This study draws on IPT to study public–private relationships undergoing DT. The study links contractual control and coordination as well as relational governance mechanisms to information-processing activities that organisations deploy to reduce information uncertainty and equivocality.

Today many firms are pushed towards digitalization to ensure business continuity and their survival due to COVID-19. Therefore, this study aims to investigate the emerging knowledge management models in the era of digitalization and disruption.

The authors have adopted a semi-structured approach composed of qualitative data collection from 37 business executives from India representing different industry sectors. The authors adopted a three-layer coding process (axial, open and selective) to develop a framework grounded in organizational information processing theory.

Scanning the business environment leads to understand the status of current and potential business through intelligence of information, whereas better planning and execution can be achieved through employing and using the information intelligently that fits to the overall and strategic objective of the business. Overall, the business continuity can be obtained by information prosperity across the business by engaging diverse stakeholders. According to the findings, these aspects lead to the effective implementation of digital knowledge to ensure business continuity in uncertain business environment.

The study offers the insights for managing and executing the knowledge in digital platforms, where they can think of developing a system architecture on the basis of degree of uncertainty and information processing requirements for combining the knowledge.

The present study is unique, where it offers the meaningful visions to the designers and users of virtual knowledge management systems.

Sailing toward sustainability is becoming the strategic focus of shipping firms. Drawing on organizational information processing theory (OIPT) and the theory of planned behavior (TPB), we investigated the impact of digital transformation (DT) on shipping firms’ sustainable management performance and the boundary conditions guiding this relationship.

The authors examined the hypotheses by employing hierarchical linear modeling on two-wave time-lagged data from 189 shipping firm employees in China.

The results suggest that a shipping firm’s DT is positively associated with its sustainable management performance and that the relationship is strengthened by having better cross-functional and customer coordination mechanisms. Furthermore, our three-way interaction analyses show that while injunctive norms in a shipping firm’s networks can strengthen the contingency roles of both cross-functional and customer coordination mechanisms, descriptive norms alone significantly influence customer coordination.

Drawing on organizational information processing and planned behavior theories, the present research provides new insights into leveraging DT for sailing toward sustainable success. Moreover, this study extends the current understandings of the boundary conditions of the relationship between DT and sustainable management performance by showing the two-way and three-way interaction effects of coordination mechanisms and subjective norms. The findings of the present research can be utilized as effective strategies for promoting sustainable management performance.

Despite big data analytics capability (BDAC) has received extensive attention, how and under what conditions BDAC influences green supply chain integration (GSCI) remains unclear. This study draws on organizational information processing theory to examine the mediating effect of supply chain visibility in the BDAC–GSCI link and the moderating effects of flexibility- and control-oriented culture.

The authors examined the research model using two-waved survey data gathered from 317 Chinese firms. The authors employed hierarchical regression analysis and bootstrapping method to test hypotheses and assessed the robust of theoretical model using structural model.

The authors found that BDAC facilitates all three dimensions of GSCI. Supply visibility mediates the relationship between BDAC and all three dimensions of GSCI, whereas demand visibility only mediates the positive effects of BDAC on green internal and customer integration. In addition, control-oriented culture strengthens the positive impacts of BDAC on supply and demand visibility, while the moderating effects of flexibility-oriented culture are insignificant.

This research contributes to opening the “black box” of how BDAC affects GSCI and provides novel guidelines for firms enhancing the degree of GSCI.

Supply chain (SC) management is more challenging than ever. Significantly, the pandemic has provoked global and economic destruction that appeared in the manufacturing industry as a “black swan.” Therefore, the purpose of this study was to examine the role of information processing and digital supply chain in supply chain resilience through supply chain risk management.

This study examines SC risk management and resilience from an information processing theory perspective. The authors used data collected from 251 SC professionals in the manufacturing industry, and the authors used a quantitative method to analyze the data. The data was analyzed using partial least squares-structural equation modeling. To confirm the higher-order measurement model, the authors used SmartPLS version 4 software.

This study found that information processing capability (disruptive orientation and visibility in high-order) and digital SC significantly and positively affect SC risk management and resilience. Similarly, SC risk management positively mediates the relationship between information processing capability and digital SC. However, information processing capability was found to have a more substantial effect on SC risk management than the digital SC.

This study has both academic and practical contributions. It contributed to existing information processing theory, and manufacturing firms can improve their performance by proactively responding to SC disruptions by recognizing the pivotal role of study variables in risk management for a resilient SC.

The conceptual model of this study is based on information processing theory, which asserts that synchronizing information processing capabilities and digital SCs allows a firm to deal with unplanned events. SC disruption orientation and visibility are considered risk controllers as they allow the firms to be more proactive. An integrated model of conceptualizing the disruption orientation, visibility (higher-order) and digital SC with information processing theory makes this research novel.

It remains unclear how environmental scanning (ES) can generate firm performance through supply chain management (SCM) practices. The purpose of this paper is to investigate the effects of ES on operational performance through supply chain integration (SCI) and supply chain responsiveness (SCR).

The scanning–interpretation–action–performance (SIAP) model and organization information processing theory (OIPT) are used to explain the ES–SCI–SCR–performance (S–I–A–P) relationships, which were tested by structural equation modeling of survey data of 329 manufacturing firms in China.

The results indicate that ES has a significant positive effect on SCI and SCR. SCI is significantly and positively related to SCR. SCR partially mediates the relationship between ES and operational performance, and fully mediates the relationship between SCI and operational performance.

Supply chain managers should collaborate with senior executives to obtain signals from ES activities, as input for building SCI and SCR and use SCI as a joint interpretation mechanism of ES signals for developing SCR to reap operational advantages in the rapidly changing business environment.

Strategic management academics and practitioners have explicitly emphasized the importance of ES in developing strategic plans but are unsure about the role of SCM in creating operational advantages through ES. Using the SIAP model, this study theorizes and demonstrates how SCI and SCR transform signals from ES into operational performance. In doing so, a more precise application of OIPT is explicated in the supply chain context.

The purpose of this paper is to investigate inter-organizational coordination (IOC) patterns between the buying firm, design agency, and component supplier in new product development (NPD) projects and to identify the determinants of these approaches.

Seven NPD projects are examined using the multiple-case study method. Data are collected from five design agencies, two buying firms, and two suppliers in Italy and the Netherlands.

Building on organizational information-processing and resource dependence theories, and based on the case study findings, four patterns of IOC approaches are proposed: buyer as mediator, buyer-designer partnership, designer as integrator, and team design activities. Two determinants of these approaches are suggested: the degree of novelty of the product/project (radical vs incremental) and the design approach (user oriented vs design driven).

Although the NPD projects are chosen from a wide variety of industries, the relatively small number of cases limits generalizability. The four IOC approaches proposed in this study should be tested in wider samples, possibly by means of the survey method.

The findings suggest that practitioners need to understand the determinants of the different IOC approaches to manage joint NPD projects most effectively. The authors also suggest that practitioners pay attention to the distinct roles of different types of suppliers while deciding on the appropriate coordination mechanisms to adopt. Finally, the results illustrate that buying firms need to consider empowering a supplier in an incremental NPD project if the supplier has a very distinctive capability that does not exist in the buying firm.

Previous research primarily focusses on dyadic-level buyer-supplier relationships in NPD projects. In this study, the authors adopt triads as the unit of analysis and specifically focus on cases that involve both component suppliers and design agencies.