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This paper examines the relationships of absorptive capacity, organizational creativity and agility to organizational resilience and competitive advantage in disruptive environments and proposes modeling these relationships.

Data were collected from 216 respondents out of the 300 targeted respondents (a response rate of 72%) across different industries. The questionnaire data were analyzed using structural equation modeling.

The paper provides empirical insights into how resilience is created through the interactions between absorptive capacity, organizational creativity and agility. It suggests that organizational creativity acts more as a “determinant force” in enhancing resilience in the disruptive environment, whereas organizational agility is more associated with competitive advantage. This study also shows the bi-directional relationships between organizational resilience and creativity. In a disruptive environment, an organization tends to seek new knowledge externally through its absorptive capacity to foster its creativity to build resiliency, whereas organizational resilience is also needed for the organization to promote its creativity.

The research was conducted using cross-sectional data; thus, causality among the constructs could not be fully established.

The paper shows that an organization needs to build a culture of learning to enhance its absorptive capacity, creativity and resilience capabilities and sustain its competitive advantage.

This paper fulfills an identified need to study how absorptive capacity, organizational creativity, agility and resilience play strategic roles interactively and differently in developing a firm’s competitive advantage in a disruptive environment.

This study aims to explore the key drivers contributing to supply chain resilience, with specific attention on agility, absorptive capacity and ambidexterity. It focuses on the roles of supply chain absorptive capacity (SCAC), supply chain ambidexterity (SCAB), supply chain agility (SCAG) and supply chain flexibility (SCF) in enhancing supply chain resilience (SCR).

A survey based on a questionnaire with established scales for SCAC, SCAB, SCAG, SCF and SCR was conducted among professionals in various industries within India, receiving 356 responses. Structural equation modeling is used to test the hypothesis.

The study reveals significant relationships between SCAC, SCAB, SCAG and SCR. SCAC and SCAB are positively correlated with SCAG, which in turn positively influences SCR. Further, SCF directly influences SCR and moderates the relationships between SCAC/SCAB and SCAG, enhancing the agility and resilience of the supply chain. These findings underline the importance of integrating knowledge management, adaptability and flexibility in supply chain strategies to cope with the dynamic business environment.

The uniqueness of this study lies in its integrated investigation of absorptive capacity, ambidexterity, agility and supply chain flexibility, with a specific focus on the moderating role of flexibility. This research is unique in demonstrating how these dynamic capabilities transform disruptions into innovative and growth opportunities for supply chain management.

Since 2011, the Extremism Risk Guidance (ERG 22+) has been the primary risk assessment framework used for terrorist and violent extremist offenders in England and Wales. The aim of this study was to conduct a rapid evidence assessment to examine the research literature on the ERG22+ factors and to identify possible significant new and emerging knowledge around potential new factors.

Searches were conducted of the Google Scholar database to identify relevant literature published between 2012 and 2020. In total, 29 documents were identified, which examined new radicalisation models and frameworks, 339 were identified, which explored to some extent one or more of the current ERG factors, and a further 138 articles were identified, which focused on potentially relevant additional issues/factors.

Most of the ERG factors were the focus of substantial research activity between 2012 and 2020. Six factors, however, received very little research attention. Potential implications of these trends are considered. Ten research themes were identified with the potential to either form new factors or which could play a significant role in the updating or revision of some existing factors.

This paper is the first rapid evidence assessment on the ERG22+ risk factors. It provides an important picture of the published scientific research of potential relevance in this area and helps to inform the review process for the ERG22+.

Continuous knowledge contribution behaviors (CKCB) are critical for the healthy development of online medical communities (OMCs). However, it is unclear that if and how contributors' prior actions and the responses they received from the community influence the nature of their future contributions. Drawing upon the Information Systems Continuance theory and Service Feedback theory, the purpose of the study is to examine the impact of knowledge contribution performance (KCP) on doctors' CKCB. Evaluation of social motivation, financial incentive and the moderating influence of expertise level (EL) provided further insight into the pathways that motivate various forms of CKCB.

In order to better understand the CKCB of physicians in OMCs, the authors divided it into two categories: A_CKCB (active CKCB) and P_CKCB (passive CKCB). Information Systems Continuance theory and Service Feedback theory are adapted and integrated with empirical findings from previous research on OMCs to develop a model of CKCB. This study used ordinary least squares (OLS) regression to test hypotheses in the preexisting research model based on data collected from a Chinese OMC platform.

The results show that KCP helps develop several facets of CKCB. According to the findings, doctors' CKCB improved dramatically after receiving feedback from A_CKCB and P_CKCB, but feedback from peers did not promote CKCB. This study found that financial rewards only have a significant positive effect on P_CKCB, and that the level of expertise has a negative effect on the effect. The findings also demonstrated that doctors' level of expertise moderates the relationship between fA_CKCB (a comprehensive evaluation of doctors' A_CKCB) and A_CKCB.

Future studies should look at the role of self-efficacy as a mediator and attitudes as a moderator in the link between KCP and various forms of CKCB. This will help authors figure out how important KCP is for physicians' CKCB. And future research should use more than one way to gather data to prove the above roles.

This study makes a significant contribution to understanding the association between CKCB and KCP by highlighting the significance of distinguishing between the various forms of CKCB and their underlying causes.

This research has advanced both the theory and practice of OMCs' user management by illuminating the central role of KCP in this context.

Current practices for inspecting highway construction predominantly rely on manual processes, which result in subjective assessments, errors and time inefficiencies. The purpose of this study is to address the inefficiencies and potential inaccuracies inherent in manual highway construction inspections. By leveraging computer vision and ontology reasoning, the study seeks an automated and efficient approach to generate structured construction inspection knowledge in the format of checklists for construction activities on highway construction job sites.

This study proposes a four-module framework based on computer vision and ontology reasoning to enable the automatic generation of checklists for quality inspection. The framework includes: (1) the interpretation of construction scenes based on computer vision, (2) the representation of inspection knowledge into structured checklists through specification processing, (3) the connection of construction scenes and inspection knowledge via ontology reasoning and (4) the development of a prototype for the automatic generation of checklists for highway construction.

The proposed framework is implemented across four distinct highway construction scenarios. The case demonstrations show that the framework can interpret construction scenes and link them with relevant inspection knowledge automatically, resulting in the efficient generation of structured checklists. Therefore, the proposed framework indicates considerable potential for application in the automatic generation of inspection knowledge for the quality inspection of highway construction.

The scientific and practical values of this study are: (1) the establishment of a new method that promotes the automated generation of structured inspection knowledge for highway construction by integrating computer vision and ontology reasoning and (2) the development of a novel framework that provides efficient and immediate access to inspection knowledge related to what needs to be inspected at highway construction job sites.

This paper examines how Russian multinational enterprises (MNEs) operating in the metallurgical industry strategise under the highly complex conditions of their home institutional environment.

The findings are based on a qualitative multiple-case study of eight Russian metallurgical MNEs that took place in 2014–2015. The authors conducted 34 semi-structured interviews, made observations and took reflexive field notes.

The analysis reveals that Russian MNEs utilise four different strategies–cooperation, persuasion, avoidance and adaptation–when dealing with federal and regional home governments. These MNEs simultaneously utilise multiple strategies while capitalising on their own organisational attributes.

Unlike many other studies, this paper examines institutional complexity within two distinct layers of the Russian Government, regional and federal, rather than considering the aggregate notion of “home government”. The paper also identifies and analyses MNEs’ specific strategies to navigate different layers of institutional complexity.

The research investigated relations between factors used to evaluate the quality of buyer-supplier relationships (BSRs): perceived performance of the supplier, satisfaction with supplier, and trust in the supplier; and to develop an instrument to evaluate BSRs (a BSRs evaluation scale).

We applied the psychometric testing of the BSRs measurement using exploratory factor analysis and confirmatory factor analysis. We applied structural equation modeling (SEM) to understand the interrelations of factors underlying BSRs.

The BSRs evaluation scale consists of three factors: perceived performance of the supplier, satisfaction with the supplier, and trust in the supplier. The results provide empirical evidence of the validity, reliability, and generalizability of the presented measurement.

The study developed a novel measurement instrument that integrates BSRs’ multidimensional constructs. It explains and confirms the significant roles of satisfaction with the supplier, trust in the supplier, and perceived performance of the supplier in shaping the BSRs’ quality. Furthermore, we provide evidence that in BSRs goodwill- and competence-based trust integrate into a single factor.

As the search engine platform, Baidu has already developed keyword advertising as one of its main business scopes, while in-feed advertising is emerging as another intelligent choice for the company. Our purpose is to validate the effectiveness of keyword and retargeted in-feed advertising on offline sales and whether the effectiveness of these two advertising strategies relies on keyword attributes work.

We utilize data from the ad campaigns of a prominent manufacturer within the machinery and equipment (hereinafter referred to as “the company”) on Baidu. To scrutinize the research hypotheses, we have employed linear regression models. Subsequently, we address potential endogeneity issues and use various techniques to ascertain the reliability of the results.

Empirical evidence indicates that both keyword and in-feed advertising enhance offline sales. Upon examining the moderating role of keyword attributes (specificity and length), we observe that specific keywords (price and word-of-mouth (WOM)) accelerate the boosting effect of advertising on sales; similarly, the longer the keywords, the more obvious the enhanced impact of advertising on sales. Moreover, the positive influence of specific keywords (price and WOM) on advertising effectiveness is more outstanding when the keywords are longer.

To our knowledge, no empirical investigation has yet to analyze keyword and retargeted in-feed advertising concurrently within the search engine context. Our research is the inaugural work to reveal that they serve as mutual substitutes regarding their impact on sales. Furthermore, this paper pioneers examining the moderating effects exerted by keyword attributes (specificity and length) on the effectiveness of these two ad types. The findings presented herein offer valuable insights into the harmonious coexistence and collaboration among companies, advertisers, users and search engine platforms.

Building permitting is mostly a manual, labor intensive and time-consuming process. Initiatives for streamlining the process are not always helpful since they often fail to address the core problems within the process. A framework for modeling the permitting process can be useful to identify bottlenecks, core challenges and best practices. Hence, the authors aim to demonstrate and validate a previously suggested workflow for permit process modeling using the permitting process in Israel as a test case.

The authors implement qualitative expert interviews for data acquisition. The collected data are then processed for a qualitative data analysis. The results of the analysis are then validated using a focus group workshop in the field of building permits. In the test case the focus group consisted of Israeli experts.

The authors present a detailed overview of the as-is building permit process in Israel and the existing challenges. Through this test case, the authors found that the framework is applicable in different countries and that it can provide valuable insights into the core problems within the process. In addition, application of the same framework in different countries can provide comparable results that would allow the authors to identify best practices.

The major contribution of this work is the development and validation of a framework for building permitting process modeling which can be used to identify existing challenges and bottlenecks in the process. Implementing a structured and unified approach provides an opportunity to easily compare processes in different countries to identify best practices.

The current study aims to propose and empirically investigate a conceptual model of the most relevant antecedents and consequences of Corporate Social Responsibility (CSR) attribution, thus providing a practical and concise model as well as examining brand attachment as a mediator explaining the relationship between CSR attribution and its consequences.

A between-subjects experimental design was employed. The study included two experimental conditions; intrinsic and extrinsic CSR attribution and a control condition. An online self-administered survey was utilised for data collection. The sample was a convenience sample of 336 university students. Both one-way between-groups ANOVA and Partial Least Squares-Structural Equation Modelling (PLS-SEM) were utilised for hypotheses testing.

The most significant antecedents of CSR attribution in order of importance are the firm's approach to CSR communication, past corporate social performance, CSR type and the firm's call for customers' participation in its CSR. CSR attribution exerted a significant direct positive impact on brand attachment and trust. Three significant indirect consequences of CSR attribution were PWOM intention, purchase intention and brand loyalty intention. Whereas trust played a significant mediating role between CSR attribution and its three indirect consequences, brand attachment exerted significant mediation only between CSR attribution and brand loyalty intention. Brand attachment might mediate the relationship between CSR attribution and purchase intention. However, brand attachment failed to play a mediating role between CSR attribution and PWOM intention.

Several studies marginally investigated CSR attribution. Despite the vital role of CSR attribution in how consumers receive firms' CSR engagement, the availability of CSR attribution-centric studies is limited. By introducing a model of the most relevant antecedents and consequences of CSR attribution, this study aids in understanding the psychological mechanism underlying consumers' CSR attribution and provides valuable implications.