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The aim of the article is to propose an integrated definition of knowledge-intensive business processes (kiBPs) and a model of business process (BP) knowledge intensity and develop holistic criteria and measures for the assessment of BP knowledge intensity.

A qualitative systematic literature review (SLR) was carried out as a means of evaluating and interpreting all available research relevant to the research topic, in this case, BP knowledge intensity. The SLR is based on the resources of the ProQuest, Springer Nature and ScienceDirect full-text databases. Regarding inclusion criteria, the authors considered peer-reviewed journals and conference proceedings published in English in the last 10 years. The results were summarized and synthesized narratively.

Based on the review, the authors classified existing knowledge intensity definitions, starting with knowledge-intensive economy or country, sectors and services, through knowledge-intensive organizations, BPs, to tasks. Then, an integrated definition of kiBPs was proposed and the business process knowledge intensity model encompassing three domains developed. Finally, 12 knowledge intensity criteria with measures were proposed.

The major value of this research is that it presents a novel approach to understanding BP knowledge intensity and kiBPs. By creating the BP knowledge intensity model, supplemented by the assessment criteria and measures, the authors contribute to the more effective management of kiBP, help find similarities and differences between various knowledge-intensive processes, as well as provide important implications for their effective management and research.

A literature review was conducted in order to establish a detailed definition of a knowledge-intensive process (KiP). Moreover, relevant theories from humanities – especially the fields of linguistics and philosophy – were thoroughly researched and adapted for establishing descriptive and analytical foundations for the phenomena involved. Finally, a cognitive business process management (BPM) theory was proposed in order to assess how sufficient are its respective explanatory and predictive powers. This study aims to discuss the aforementioned objective.

This study proposes a novel theory for KiPs that describe the process flow based on the participants' interactions and their beliefs, desires and intentions as the main drivers of the process enactment and execution.

The proposal puts forth a comprehensive definition of a KiP, depicting knowledge intensity, participant interaction and decision-making. The inner dynamics of each of these two elements (as well as other associated elements) are described as an information systems (IS) theory that enables the study of KiPs in detail, going beyond the typical techniques of the BPM field and common obstacles.

A theory proposal for KiP that applies concepts from speech act theory and intentional states as the main drivers for understanding the process dynamics are, to the best of the authors' knowledge, not present at the literature. Being an original proposal, the real-world scenario discussed brings up the explanatory and predictive powers of the theory as well as its innovative value for research in the field.

The purpose of the study is to identify how knowledge management processes impact innovation performance in the Jordanian medical sector (private hospitals) as well as identify how big data analytics moderates this performance.

Two hundred ninety-one questionnaires were analyzed for the purpose of this study. A structural equation model (SEM) was used to test convergence validity, discriminant validity and reliability. In order to analyze the data, bootstrapping was used.

The empirical results showed that all knowledge management processes are statistically significant in influencing innovation performance. Furthermore, big data analytics moderates the relationship between knowledge management processes and innovation performance.

The results of this cross-sectional study are limited to one country and one industry due to methodological limitations, and the results represent a snapshot at a particular point in time.

Jordan's medical leaders will benefit from this study, since it emphasizes the importance of knowledge management processes to enhance innovation performance, especially given the importance of big data analytics in the field, increasing innovation capabilities in the medical field, thereby increasing innovation levels.

The aim of the article is to propose BPMN extensions that facilitate the modeling of Clinical Pathways in a way that enables for various groups of users, the transfer of a much wider range of information in the form of process models without compromising their readability and usefulness.

The paper uses the design science research methodology (DSRM) and covers phases of a design-oriented research project extending BPMN notation for clinical pathway modeling.

The article proposes extensions of BPMN in 5 areas, enabling standardization of the description of business processes of different natures and complexity and in turn meeting the needs and requirements of modeling clinical pathways and, more broadly speaking, knowledge-intensive business processes (kiBPs) in general. As shown by the evaluation carried out among medical personnel, the proposed extensions allow for the readable transfer of a considerably larger body of information relevant to the planned, conducted and assessed therapy (kiBPs) than the current BPMN 2.0 standard.

The BPMN extensions proposed in the article fill the gaps in this notation and do not require users to know many notations, which in practice is unrealistic. Defined extensions to the BPMN specification makes it possible to standardise the description of processes of different natures and levels of complexity. In this way, both simplified models (and views of models) dedicated to users unfamiliar with BPMN and models (or views) using advanced possibilities provided by BPMN can be based on one standard, even if they use only a small part of its possibilities.

The purpose of this study is to give an in-depth understanding of the nature of business processes (BPs) from the perspective of their dynamism and knowledge intensity that will allow for their correct classification and provide practical and useful implications for their more relevant and effective management. A simple and low labor-intensive BP nature assessment approach is proposed that will allow for objective assessment and internal benchmarking of all BPs in a specific context of execution based on their nature.

The research is divided into two parts. The first comprises a systematic literature review (SLR) based on the resources of the ProQuest, Springer Nature and ScienceDirect full-text databases and the second includes illustrative case studies.

Building on the SLR, the authors identified and reviewed 3,385 articles and defined a set of criteria by which the nature of BPs can be assessed. Further, the authors proposed a BP nature assessment matrix together with complementary questionnaires for the evaluation of process dynamism and knowledge intensity. To demonstrate the logic of this approach, two illustrative case studies were presented.

The article contributes to the theoretical reflection on the nature of BPs in the knowledge economy. From the practical point of view, a novel approach to the assessment of the nature of BPs is offered. The approach is open and as experience is accumulated it will develop according to the data and recommendations collected.

Scholars have examined the possible relationship between information technology (IT) and organizational agility. Although the general-level effect of IT is undisputed, empirical research on how different types of IT contribute to various aspects of organizational agility remains scarce. Therefore, this study aims to propose an integrated framework of internal capability and external environment to address this research gap.

This study investigates the potential mediating effects of absorptive capacity and the moderating effects of information intensity in the IT‒agility relationship. With a dataset comprising 165 organizations in China, this work provides empirical evidence that the effects of absorptive capacity and information intensity are multifaceted and nuanced, thereby revealing the latent mechanisms of IT competency and organizational agility.

Absorptive capacity partially mediates the effects of IT knowledge and IT operations on market capitalizing agility and fully mediates their effects on operational adjustment agility. However, no direct or indirect effects of IT objects are found on both types of organizational agility. Information intensity also positively moderates the effects of IT operations and IT objects on absorptive capacity. However, no significant moderation is found with regard to IT operations.

This study provides novel insights by demonstrating clearly the different mediating roles of absorptive capacity in the relationship among various types of IT competency and diverse aspects of organizational agility. This work also underscores the moderating role of information intensity in shaping absorptive capacity through IT competency.

Drawing on the knowledge-based view of the firm (KBV) and Dynamic Marketing Capabilities (DMC), this paper examines the role of key internationalization knowledge absorption processes as learning strategies, namely market exploitation and market exploration in enabling internationalization knowledge absorption in export-oriented firms involved in manufacturing goods or producing electrical/engineering products.

The data were gathered via a cross-sectional survey using a questionnaire (i.e. n = 315) on a sample of Bangladeshi manufacturing firms exporting in US and European markets.

The findings suggest that an export firm's internationalization absorption strategies are positively associated with export performance. The authors also found that the mediator, DMC, strengthened the relationship between knowledge absorption and export performance. Moreover, the findings of moderated mediation model revealed that the direct and indirect effects of market exploitation on export performance are more prevalent when competitive intensity is low. While competitive intensity is high, the direct and indirect effects of market exploration on export performance are more prevalent.

By introducing a higher-level dynamic marketing capability approach and linking it to ambidexterity constructs (learning though exploration and exploitation), export business professionals should appreciate the full spectrum of mid-level marketing capabilities they need to develop alongside their exploration and exploitation strategies to improve their export performance. This study directs attention to the competitive intensity conditions the exporting firm is facing. When export business professionals are faced with high-level of competitive intensity in the market, they should establish a clear focus on their exploration learning strategies if they wish to enhance their export performance.

The authors contribute to two broad domains of literature: organizational learning and DMC strategy. The study results show that how the two components of international ambidexterity as organizational learning constructs (i.e. market exploration and exploitation) influence knowledge management processes within firms through a firm's possession of a fine configuration of higher-level marketing capability. This study also theoretically and empirically examines how higher-level DMC strategy can mediate the consequence of international knowledge absorption mechanism on firm export performance. From a practical perspective, this study provides useful lessons for exporting firms wishing to enhance their performance.

This study aims to explore the effects of remote work on employee productivity and innovation and how these effects are moderated by knowledge sharing and digital business intensity.

The study draws on survey data from a random sample of 231 remote workers across the USA. The analysis and empirical validation of the research model used partial least square.

The results demonstrate a positive association between remote work and employee productivity. In addition, the findings present empirical support for hitherto anecdotal evidence regarding the impact of remote work on innovation. In particular, the study notes that knowledge sharing and digital business intensity amplified the positive relationship between remote work and employee productivity. The results further revealed that the positive link between remote work and innovation was stronger in the presence of knowledge sharing.

The study contributes to the ongoing inquiry into remote work by drawing on the knowledge-based view as an underlying lens to understand the consequence of remote work. Identifying knowledge sharing and digital business intensity as moderators of the linkage between remote work and employee productivity is an important contribution, especially when researchers and practitioners are trying to understand the business value of working remotely. Furthermore, to the best of the authors’ knowledge, this study is the first to identify knowledge sharing as a key mechanism that strengthens innovation outcomes in a remote work environment.

We study the relationship between firms’ top management teams (TMT) and internationalization complexity. We consider the effect of three different sets of TMT characteristics – international business orientation intensity, education intensity, and team diversity – on three different and increasingly complex facets of internationalization - international markets intensity, international operations intensity and international country diversity. We argue that more international, highly-educated and diverse TMTs are better able to face the complexity derived from international competition. The results of our empirical analysis show that TMTs having foreign managers or managers with international experience are more likely to be in charge of firms facing higher international operations intensity. Conversely, more educated and more diverse TMTs are associated with complexity deriving from international diversification.

This study is based on knowledge-based view to examine the relationships among buyer–supplier interaction, ambidextrous innovation and business performance. It includes competitive intensity and dysfunctional competition to clarify boundary conditions.

The ordinary least squares regression was conducted to test hypotheses. The survey data were collected from 182 Hong Kong manufacturing firms.

Buyer–supplier interaction facilitates ambidextrous innovation, namely exploitative innovation and exploratory innovation. In turn, exploitative innovation enhances business performance, whereas exploratory innovation has no influence on business performance. Competitive intensity strengthens while dysfunctional competition weakens the impact of buyer–supplier interaction on ambidextrous innovation.

This study is based on the knowing processes of knowledge-based view. It contends that business performance is derived from ambidextrous innovation, which depends on the utilization of acquired supplier knowledge and the influence of external competitive environment. The test of relationships is constrained by the single-source and cross-sectional data.

Firms should engage in buyer–supplier interaction to acquire and utilize supplier knowledge. Meanwhile, they should monitor competitive environment to seize opportunities and avoid threats.

This study builds a holistic framework for buyer–supplier interaction, which reconciles the mixed arguments by distinguishing its effects on ambidextrous innovation, and by clarifying boundary conditions in terms of competitive intensity and dysfunctional competition.