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PurposeThis study aims to investigate the impact of environmental scanning on organizational resilience through the mediation of organizational learning and innovation based on organizational information processing theory (OIPT) within Egyptian small and medium enterprises (SMEs) during the COVID-19 pandemic.Design/methodology/approachThis study adopted a cross-sectional design to collect the data used to carry out mediation analysis. A self-administered questionnaire was used to collect data from a sample consisting of 249 Egyptian SMEs. The smart partial least square structural equation modeling (PLS-SEM) technique was adopted to test the hypotheses.FindingsEnvironmental scanning does not have a direct effect on organizational resilience. However, organizational learning and innovation fully mediate the relationship between environmental scanning and organizational resilience.Research limitations/implicationsThe sample size was small, covering only Egyptian manufacturing SMEs. The results may differ in the service sector and other countries. The study was cross-sectional which is limited to tracing the long-term effects of environmental scanning, organizational learning and innovation on organizational resilience. Accordingly, a longitudinal study may be undertaken.Practical implicationsManagers in Egyptian SMEs should use signals from environmental scanning activities as input for learning and transforming business processes through innovation to develop organizational resilience.Originality/valueThis study is the first to investigate the role of environmental scanning in building organizational resilience through organizational learning and innovation based on the perspective of OIPT within Egyptian SMEs during the COVID-19 crisis.
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PurposeThe purpose of this study is to investigate the role of procurement digitalization in reducing uncertainty in the supply chain (SC) and how it relates to mitigating SC risks and improving SC resilience (SCRES).Design/methodology/approachBased on survey data collected from the procurement functions of 147 Finnish firms, this study conceptualizes data analytics, information sharing and procurement process digitalization as drivers of procurement digitalization and investigates their impact on SC risk management and SCRES by using partial least squares path modeling.FindingsProcurement digitalization through data analytics and digital process maturity requires effective information sharing among SC partners and SC risk management to be able to improve SCRES. Procurement digitalization increases information-processing capacities and reduces uncertainty in the SC.Originality/valueThis study contributes to the understanding on the relationships between procurement digitalization and SCRES.
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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.
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This paper makes an initial attempt to develop a theory of supply chain resilience through ambidexterity in the context of the COVID-19 pandemic. We conducted a single-case analysis focusing on Zong-Teng Group, one of the biggest cross-border e-commerce enterprises in China, as our sample. Data were mainly collected from interviews with Zong-Teng managers and public online resources. Through case analysis, this paper identifies that a fit between the information processing requirements of a firm and its information processing capability leads to greater ambidexterity for exploitation and exploration, which in turn improves supply chain resilience (SCR) in the form of agility, redundancy and flexibility. In addition, ambidexterity in terms of morality improves SCR culture. This paper may be the first to adopt information processing theory to examine SCR and consider the role of ambidexterity, noting that crises such as COVID-19 impose an exponential increase in information processing requirements, to which many firms fail to respond effectively.
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Purpose: 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. Design/methodology/approach: 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. Findings: 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. Practical implications: 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. Originality/value: The present study is unique, where it offers the meaningful visions to the designers and users of virtual knowledge management systems. © 2022, Emerald Publishing Limited.
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Involvement of multiple stakeholders in healthcare industry, even the simple healthcare problems become complex due to classical approach to treatment. In the Covid-19 era where quick and accurate solutions in healthcare are needed along with quick collaboration of stakeholders such as patients, insurance agents, healthcare providers and medicine supplier etc., a classical computing approach is not enough. Therefore, this study aims to identify the role of quantum computing in disrupting the healthcare sector with the lens of organizational information processing theory (OIPT), creating a more sustainable (less strained) healthcare system. A semi-structured interview approach is adopted to gauge the expectations of professionals from healthcare industry regarding quantum computing. A structured approach of coding, using open, axial and selective approach is adopted to map the themes under quantum computing for healthcare industry. The findings indicate the potential applications of quantum computing for pharmaceutical, hospital, health insurance organizations along with patients to have precise and quick solutions to the problems, where greater accuracy and speed can be achieved. Existing research focuses on the technological background of quantum computing, whereas this study makes an effort to mark the beginning of quantum computing research with respect to organizational management theory. © 2022
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BACKGROUND: The COVID-19 pandemic exerted profound effects on parents, which may translate into elevated child abuse risk. Prior literature demonstrates that Social Information Processing theory is a useful framework for understanding the cognitive processes that can contribute to parental abuse risk, but the model has not adequately integrated affective processes that may coincide with such cognitions. OBJECTIVE: Given parents experienced intense emotions during the pandemic, the current study sought to examine how socio-emotional processes might account for abuse risk during the pandemic (perceived pandemic-related increases in harsh parenting, reported physical and psychological aggression, and child abuse potential). PARTICIPANTS AND METHODS: Using two groups of mothers participating in online studies, the combined sample of 304 mothers reported on their abuse risk and cognitive and anger processes. RESULTS: Greater approval of physical discipline and weaker anger regulation abilities were directly or indirectly related to measures of abuse risk during the pandemic, with maternal justification to use parent-child aggression to ensure obedience consistently relating to all indicators of abuse risk during the pandemic. CONCLUSIONS: Socio-emotional processes that include anger appear particularly relevant during the heightened period of strain induced by the pandemic. By studying multiple factors simultaneously, the current findings can inform child abuse prevention efforts.
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This study utilizes Social Information Processing (SIP) theory to investigate the relationship between organizational preventive actions (substantive vs. symbolic), employee preventive behavior, the mediating role of conspiracy beliefs, and moderating role of leadership integrity in the context of Covid-19. The study explains leadership integrity as a boundary condition to facilitate or hinder the mediated relationship between organizational actions and employee preventive behavior (EPB). The hypothesized model was tested using partial least square structural equation modeling (PLS-SEM) on two-wave data collected from 281 respondents. The results revealed that substantive actions do not predict EPB directly but through conspiracy beliefs. Contrary to these, symbolic actions negatively predict EPB directly. Leadership integrity moderates the relationship between substantive actions and conspiracy beliefs, while the interaction effect with symbolic actions is not supported. The findings of this study caution managers to walk their talk because employees critically observe the most apparent actions, especially when management fails to practice them. The study contributes to social information processing theory by pointing to leadership integrity as a source of authenticity to curb the negative impact of symbolic actions and catalyst the effect of substantive actions on employee preventive behavior.
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PurposeThis study aims to investigate the impact of environmental scanning on organizational resilience through the mediation of organizational learning and innovation based on organizational information processing theory (OIPT) within Egyptian small and medium enterprises (SMEs) during the COVID-19 pandemic. Design/methodology/approachThis study adopted a cross-sectional design to collect the data used to carry out mediation analysis. A self-administered questionnaire was used to collect data from a sample consisting of 249 Egyptian SMEs. The smart partial least square structural equation modeling (PLS-SEM) technique was adopted to test the hypotheses. FindingsEnvironmental scanning does not have a direct effect on organizational resilience. However, organizational learning and innovation fully mediate the relationship between environmental scanning and organizational resilience. Research limitations/implicationsThe sample size was small, covering only Egyptian manufacturing SMEs. The results may differ in the service sector and other countries. The study was cross-sectional which is limited to tracing the long-term effects of environmental scanning, organizational learning and innovation on organizational resilience. Accordingly, a longitudinal study may be undertaken. Practical implicationsManagers in Egyptian SMEs should use signals from environmental scanning activities as input for learning and transforming business processes through innovation to develop organizational resilience. Originality/valueThis study is the first to investigate the role of environmental scanning in building organizational resilience through organizational learning and innovation based on the perspective of OIPT within Egyptian SMEs during the COVID-19 crisis.
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[This corrects the article DOI: 10.3389/fpsyg.2021.635085.].
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Purpose The purpose is to understand the fundamental mechanism of the consumer decision-making process and how perceived financial risk of search and experience goods influences electronic word-of-mouth adoption (e-WOMA) on social networking sites (SNSs), which will lead to purchase intention. Design/methodology/approach Drawing on information processing theory, the study conceptualizes a moderated mediation model to investigate the underlying influence of perceived financial risk and online social ties on e-WOMA and the subsequent effect on online purchase intention. Survey data from 275 individuals were analyzed through statistical tools using Statistical Package for the Social Sciences (SPSS). Findings The results revealed that e-WOMA mediates the effect of perceived financial risk of search and experience goods on online purchase intention. Strength of online social ties on SNSs positively moderates the electric word of mouth adoption for both the experience and search goods. Research limitations The limitation of this study was about the researcher's restrictions related to the length of the survey. Moreover, causal explanations can't be deduced as this is a cross-sectional study. Practical implications This research offers insight into the consumers that allow marketers to dive into the target market. Marketers should focus on social ties importance while selling products/services of markets online. Originality/value The study is novel in the context of an emerging economy to educate marketers on the product categorization of search goods and experience goods based on financial risk.
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Due to increased global environment volatility and uncertainty, organizations are constantly faced with unexpected events such as the COVID-19 pandemic, which has brought large international disruptions for several firms. Organizational resilience is a potential notion for describing how firms might stay alive and thrive in such a volatile environment. Therefore, this study aimed to examine how SMEs can foster their resilience through investigating the roles of environmental scanning and process innovation while testing the moderating role of environmental uncertainty. To achieve this aim, we tested a structural model through an empirical investigation with partial least squares structural equation modelling (PLS-SEM) using a sample of 249 Egyptian SMEs. The results reveal that process innovation is a necessary condition for environmental scanning to affect organizational resilience. Furthermore, the results do not support the moderating role of environmental uncertainty the indirect relationship between environmental scanning and organizational resilience. Our findings contribute to innovation and resilience literature by proving that process innovation is a necessary mechanism to translate environmental scanning information to enhance resilience. This research is the first to highlight the role of process innovation in linking environmental scanning to organizational resilience. Our results provide insights about how Egyptian SMEs could remain resilient amidst the COVID-19 through scanning their environments to improve internal processes. We discuss related theoretical and managerial implications.
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Purpose>This paper aims to examine the impact of environmental scanning (ES) on competitive advantage (CA) through the mediation of organizational resilience dimensions within manufacturing small and medium-sized enterprises (SMEs) in Egypt.Design/methodology/approach>This study adopts a cross-sectional design to collect data. This study used a self-administered questionnaire to collect data from a sample of 249 Egyptian SMEs. This study employed the Smart partial least square structural equation modeling technique to test the hypotheses.Findings>ES positively affects CA both directly and indirectly through the mediation of organizational resilience dimensions, namely, robustness and agility. However, ES does not affect integrity;therefore, integrity does not mediate the ES–CA relationship. These results indicate that organizational resilience partially mediates the relationship between ES and CA.Research limitations/implications>The sample size was small, covering only Egyptian manufacturing SMEs. The results may be different in the service sector and other countries. The study was cross-sectional which could not trace the long-term effects of ES and organizational resilience on CA. Therefore, a longitudinal study should be conducted, based on resource availability.Practical implications>Managers in Egyptian SMEs should scan their environments to build organizational resilience and, in turn, enhance their CA.Originality/value>To the best of the authors’ knowledge, this research is among the first endeavors to investigate the role of ES in building CA through organizational resilience in the context of Egyptian SMEs.
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Purpose: 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. Design/methodology/approach: 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. Findings: 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. Research limitations/implications: 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. Practical implications: Egyptian SMEs’ managers should experience organizational learning as a pathway for environmental scanning to build organizational resilience. Originality/value: 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. © 2022, Emerald Publishing Limited.
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Involvement of multiple stakeholders in healthcare industry, even the simple healthcare problems become complex due to classical approach to treatment. In the Covid-19 era where quick and accurate solutions in healthcare are needed along with quick collaboration of stakeholders such as patients, insurance agents, healthcare providers and medicine supplier etc., a classical computing approach is not enough. Therefore, this study aims to identify the role of quantum computing in disrupting the healthcare sector with the lens of organizational information processing theory (OIPT), creating a more sustainable (less strained) healthcare system. A semi-structured interview approach is adopted to gauge the expectations of professionals from healthcare industry regarding quantum computing. A structured approach of coding, using open, axial and selective approach is adopted to map the themes under quantum computing for healthcare industry. The findings indicate the potential applications of quantum computing for pharmaceutical, hospital, health insurance organizations along with patients to have precise and quick solutions to the problems, where greater accuracy and speed can be achieved. Existing research focuses on the technological background of quantum computing, whereas this study makes an effort to mark the beginning of quantum computing research with respect to organizational management theory.
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Purpose>This study looks beyond firm boundaries to depict supply chain (SC) adaptability and classifies it into internal, customer and supplier dimensions to investigate their performance implications, respectively. This study also examines the enablers of SC adaptability based on information processing theory.Design/methodology/approach>This study applies the structural equation modeling method to investigate relationships among SC information sharing, SC adaptability and operational performance using data collected from 216 manufacturers in China.Findings>Internal information sharing has a positive impact on three dimensions of SC adaptability, whereas supplier and customer information sharing only have a positive impact on supplier adaptability. Customer and supplier information sharing interact to positively influence the three dimensions of SC adaptability, while internal and customer information sharing interact to negatively affect customer adaptability. We also find that all the three dimensions of SC adaptability can enhance operational performance.Originality/value>This study contributes to providing a holistic definition of SC adaptability and classifies it into three dimensions. It also investigates antecedents and performance outcomes of SC adaptability.
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Purpose>COVID-19 has pushed many supply chains to re-think and strengthen their resilience and how it can help organisations survive in difficult times. Considering the availability of data and the huge number of supply chains that had their weak links exposed during COVID-19, the objective of the study is to employ artificial intelligence to develop supply chain resilience to withstand extreme disruptions such as COVID-19.Design/methodology/approach>We adopted a qualitative approach for interviewing respondents using a semi-structured interview schedule through the lens of organisational information processing theory. A total of 31 respondents from the supply chain and information systems field shared their views on employing artificial intelligence (AI) for supply chain resilience during COVID-19. We used a process of open, axial and selective coding to extract interrelated themes and proposals that resulted in the establishment of our framework.Findings>An AI-facilitated supply chain helps systematically develop resilience in its structure and network. Resilient supply chains in dynamic settings and during extreme disruption scenarios are capable of recognising (sensing risks, degree of localisation, failure modes and data trends), analysing (what-if scenarios, realistic customer demand, stress test simulation and constraints), reconfiguring (automation, re-alignment of a network, tracking effort, physical security threats and control) and activating (establishing operating rules, contingency management, managing demand volatility and mitigating supply chain shock) operations quickly.Research limitations/implications>As the present research was conducted through semi-structured qualitative interviews to understand the role of AI in supply chain resilience during COVID-19, the respondents may have an inclination towards a specific role of AI due to their limited exposure.Practical implications>Supply chain managers can utilise data to embed the required degree of resilience in their supply chains by considering the proposed framework elements and phases.Originality/value>The present research contributes a framework that presents a four-phased, structured and systematic platform considering the required information processing capabilities to recognise, analyse, reconfigure and activate phases to ensure supply chain resilience.
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Purpose: 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. Design/methodology/approach: 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. Findings: 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. Practical implications: 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. Originality/value: The present study is unique, where it offers the meaningful visions to the designers and users of virtual knowledge management systems. © 2022, Emerald Publishing Limited.
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The COVID-19 pandemic has had a world-wide impact on all areas of individuals' health, including physical, psychological, financial, familial, social, and vocational. In the United States, the unemployment rate rose from 3.5% (5.8 million) to 13.3% (21 million) in May 2020 before dropping to 7.9% in October 2020. Cognitive information processing (CIP)is one career theory that addresses career needs of clients and society. In this article, we examine the impact of COVID-19 on mental health and wellness, highlight differences for marginalized groups, and demonstrate how CIP theoretical elements may have been impacted by COVID-19, and provide strategies enhancing client growth in these domains during a time when largescale social and physical distancing is recommended. The CIP-based differentiated service delivery model is also described as a means for extending and providing access to career services.
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Based on organizational information processing theory (OIPT), this study examines how and when business networks exert a positive influence on firms’ organizational resilience capacity. Using data collected from 409 Chinese manufacturing firms during the COVID-19 pandemic, and by disaggregating business networks into two dimensions—network breadth and network depth—our findings show, firstly, that both network breadth and network depth are positively correlated to the organizational resilience capacity of firms;secondly, that these relationships are mediated by firms’ ambidextrous learning;and thirdly, that the positive effects of network breadth and network depth on organizational resilience capacity are stronger when the firms’ digital technology levels are higher. Furthermore, through additional analysis, we find that the positive impact of business networks on organizational resilience capacity is stronger for non-state-owned enterprises (non-SOEs) than it is for SOEs, and also that the moderating effect of digital technology on the relationship between business networks and organizational resilience capacity is greater for non-SOEs than it is for SOEs. These findings provide new insight into how a firm's business network, in combination with its ambidextrous learning and level of digital technology, affects its organizational resilience capacity development, which helps it survive a crisis for future sustainable development.