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In innovation management, the complexity inherited in the supply network may be necessary for success. This study aims to holistically examine innovation complexities and system attractors within a hierarchically nested supply network and explore how they dynamically interact and influence adaptive innovation processes.

Taking a complexity theory perspective, we employed a methodological bricolage approach using a single case study with multiple embedded units of analysis – namely, a supply network encompassing 36 firms. We drew upon primary data obtained from 42 interviewees and rich secondary data, and we employed a temporal exponential random graph model to examine the micro-foundations of the evolution of the sampled supply network over a decade.

This study presents a comprehensive overview of the innovation complexities—relational, temporal, dynamic, operational and structural – and how they manifest within a supply network. It also identifies three systemic attractors – point, periodic and strange – and elucidates their relationships with the complexities and their impact on innovative supply network dynamics. The resulting conceptual framework and working propositions provide a detailed perspective on the complex interplay between balanced order and chaos and the potentially unbalanced innovation states within a supply network.

This research offers an in-depth perspective on the innovation complexities and dynamic attractors within a supply network from a holistic, multilevel perspective. It advances complexity theory and deepens the understanding of supply networks as complex adaptive systems.

This study aims to show that employees' excessive work-related use of enterprise social networks (ESN) can be accompanied by some work-related strains, hindering them from continuing utilization of ESN at work. To this end, the impact of employees' excessive work-related utilization of ESN on their discontinuous usage intentions by mediating roles of employees' impression management concerns, privacy concerns and ESN fatigue will be evaluated.

Stimulus-organisms-response (S-O-R) framework has been drawn to support the design of this research. Using an entirely random data collection, 173 ESN users from 10 Iranian organizations were surveyed. The model was assessed using partial least squares structural equations modeling (PLS-SEM).

The results of the study confirm that employees' excessive work-related use of ESN positively affects impression management and privacy concerns, resulting in ESN fatigue. Furthermore, ESN fatigue plays a predicting role in ESN discontinuous usage intention.

According to the obtained results, if work-related use of ESN exceeds a normal threshold (i.e. excessive usage), employees will stop using ESN in their work due to the work-related strains delivered to them, revealing the dark side of ESN usage in organizations.

This study offers insights into how the entrepreneurship educator (EE) is legitimised in higher education.

This exploratory study is based on content analysis of 73 university programme specifications, 61 university strategies and 35 job advertisements. The study uses Suchman’s (1995) conceptualisation of organisational legitimacy to assist in categorising the results according to type of legitimacy.

Connections are made between the legitimacy of the EE and wider societal discourses surrounding the legitimacy of enterprise/entrepreneurship as expressed in university strategies. Attempts to legitimise the EE specifically, as opposed to “the educator” more broadly understood, are quite limited. Programme specifications mainly offer a cognitive form of legitimacy relating to teaching, with elements of pragmatic legitimacy arising from educators’ links to industry and research prowess. Job descriptions are more focused on the educator’s research as a form of legitimation.

The study creates a baseline of knowledge surrounding the legitimacy of the EE, which raises important questions as to how the educator is supposed to add value in relation to different stakeholders.

The concept of legitimacy, despite widespread application in other disciplines, has found very limited application in the study of EE. Using three sources of data, the paper offers a first application of Suchman’s (1995) conceptualisation of legitimacy to entrepreneurship education. It thereby offers a critical perspective on the role of the EE as shaped by institutional norms.

This study systematically reviews the existing literature on the application of gamification in logistics and supply chain management (LSCM). This study aims to categorise the literature in various logistics and supply chain domains, to conceptualise the gamification framework pertinent in the context of LSCM and to provide a research agenda for scholars in the area.

The study’s methodology adopts the Preferred Reporting Items for Systematic Review and Meta-Analysis framework to conduct a systematic literature review. Forty relevant papers published from 2012 to 2023 are included in the analysis.

Augmented reality, blockchain, education, sustainability and warehousing have been identified as the key focus areas in which gamification is applied. Furthermore, the paper highlights different research approaches used to study these domains, maps the literature with gamification constructs (affordances, psychological outcomes and behavioural outcomes) and provides potential research avenues for future scholars.

This review offers evidence of the impact of gamification on workforce dynamics, employee motivation, job satisfaction, trust, employee engagement and productivity. The study significantly contributes to the academic community by offering a conceptual framework and meaningful avenues for future researchers.

This research work contributes to the gamification, logistics and supply chain literature by providing a more comprehensive and methodical knowledge of the field. This study adds to the body of knowledge by offering a reference framework for future scholars based on a synthesis of the studies published so far in the area.

This study bridges the gap in quality control strategies for high-volume production by balancing the cost and effectiveness of inspection strategies. Using the cost of quality (CoQ) to manage cost and external failures (EF) to gauge effectiveness, this research introduces an innovative inspection strategy chart that serves as a decision-making tool for optimizing inspection processes.

This paper presents a scenario-based framework designed to support strategic decision-making in inspection processes by integrating empirical data analysis with inspection strategy charts. This approach allows for a dynamic assessment and visualization of the relationship between CoQ and EF, facilitating more informed decision-making in quality management. Notably, it contrasts the traditional models with a novel approach that more accurately captures the uncertainty and correlation among key quality indicators, showcasing its potential for more refined decision-making in quality management.

Application of the framework illustrates its effectiveness in offering a nuanced understanding of the cost implications and effectiveness of various quality control strategies. This facilitates enhanced strategic decision-making, optimizing inspection processes and reducing external failures in high-volume production settings.

The study focuses on a single industry case study, limiting the generalizability of findings across different high-volume production contexts. Future research could explore the framework’s applicability in other sectors and refine the model based on additional empirical data.

The research introduces a versatile framework that navigates the unique challenges of high-volume manufacturing environments. Diverging from models optimized for low-volume settings, this approach provides a valuable tool for adapting inspection strategies to complex production demands, marking a significant contribution to quality management and control literature.

This study aims to utilize Relational Job Design (RJD) theory and Conservation of Resources (COR) theory to explore the impact of RJD, particularly its key components – job impact (JI) and job contact (JC) – on employees’ quiet quitting (QQ) behavior. It also investigates the role of work alienation (WA) as a mediator and examines whether inclusive leadership (IL) has a moderating effect on these proposed relationships.

This paper used paired dyadic surveys to gather data from 166 full-time employees and their immediate supervisors used in service organisations across the United Arab Emirates (UAE). The study’s moderated mediation model was tested using hierarchical regression and the PROCESS Macro in statistical package for the social sciences (SPSS) v.26.

The results empirically support our hypotheses: RJD (JI and JC) significantly reduces employees’ feelings of WA, thereby decreasing the likelihood of engaging in QQ behaviours. As expected, the study also revealed that IL acts as a moderator by amplifying the detrimental effects of RJD (JI and JC) on feelings of alienation from one’s work, which in turn decreases the likelihood of engaging in QQ behaviour.

This study fills a gap in understanding how relational work design and IL jointly influence unfavourable workplace attitudes and behaviours. It offers a foundation for future studies on QQ in diverse cultural and organisational contexts.

This study provides practical insights for organisations aiming to tackle employee quitting behaviours. Human resource (HR) professionals and leaders should focus on enhancing both JC and JI, while actively fostering IL. These actions are critical for significantly boosting employee engagement, fostering a more motivated and connected workforce and reduce QQ behaviours in the workplace.

Although the data in this study were collected from an organisation with multiple branches across the country, the findings may still have limited generalisability to other organisations or industries. While this paper acknowledges this as a limitation, it also presents an opportunity for future research to explore QQ across diverse cultural and organisational contexts. Larger and more varied samples in future studies could provide deeper insights into the prevalence and drivers of QQ in different workplace environments.

This study explores the under-researched phenomenon of QQ, revealing how RJD can mitigate these behaviours. It uncovers new psychological mechanisms, offering actionable insights for management strategies to enhance employee commitment and reduce negative behaviours.

The paper adopts a holistic approach to studying the scale and scope of organisational change resulting from the COVID-19 crisis within the Slovenian public administration. It aims to go beyond the relatively narrow research focus of existing literature, which is confined to short-term responses to the crisis affecting specific organisational aspects of public administration.

Theoretically underpinned by Nograšek and Vintar’s (2014) upgrade of Leavitt’s diamond model, the paper employs a multi-case study design to explore the long-term implications of COVID-19-induced changes within the Slovenian public administration.

The findings reveal an uneven impact of the COVID-19 crisis across Slovenian state administration organisations in terms of the scale and scope of changes, noting that the two key long-term changes – telework and new digital communication channels – have not become equivalent alternatives to traditional work and communication methods. Moreover, the paper identifies changes within the element “people” as the primary disruptors of organisational equilibrium, triggering a ripple effect of changes within other organisational elements.

The paper debunks the myth about the “radical” impact of COVID-19 by concluding that long-term changes have not altered the essence of (Slovenian) public organisations, characterised as traditional public administration. Theoretically, it demonstrates the need for a new adaptation of Leavitt’s diamond model to explain organisational changes in turbulent/crisis times.

The purpose of this manuscript, a state feedback gain depends on the optimal design of fractional order PID controller to time-delay system is established. In established optimal design known as advanced cuttlefish optimizer and random decision forest that is combined performance of random decision forest algorithm (RDFA) and advanced cuttlefish optimizer (ACFO).

The proposed ACFO uses the concept of crossover and mutation operator depend on position upgrading to enhance its search behavior, calculational speed as well as convergence profile at basic cuttlefish optimizer.

Fractional order proportional-integrator-derivative (FOPID) controller, apart from as tuning parameters (kp, ki and kd) it consists of two extra tuning parameters λ and µ. In established technology, the increase of FOPID controller is adjusted to reach needed responses that demonstrated using RDFA theory as well as RDF weight matrices is probable to the help of the ACFO method. The uniqueness of the established method is to decrease the failure of the FOPID controller at greater order time delay method with the help of controller maximize restrictions. The objective of the established method is selected to consider parameters set point as well as achieved parameters of time-delay system.

In the established technique used to evade large order delays as well as reliability restrictions such as small excesses, time resolution, as well as fixed condition defect. These methods is implemented at MATLAB/Simulink platform as well as outcomes compared to various existing methods such as Ziegler-Nichols fit, curve fit, Wang method, regression and invasive weed optimization and linear-quadratic regression method.

This study aimed to identify a specific taxonomy of entry modes for international construction contractors and to develop a decision-making mechanism based on case-based reasoning (CBR) to facilitate the selection of the most suitable entry modes.

According to the experience orientation of the construction industry, a CBR entry mode decision model was established, and based on successful historical cases, a two-step refinement process was carried out to identify similar situations. Then the validity of the model is proved by case analysis.

This study identified an entry mode taxonomy for international construction contractors (ICCs) and explored their decision-making mechanisms. First, a two-dimension model of entry mode for ICCs was constructed from ownership and value chain dimensions; seven common ICC entry modes were identified and ranked according to market commitment. Secondly, this study reveals the impact mechanism of the ICC entry mode from two aspects: the external environment and enterprise characteristics. Accordingly, an entry mode decision model is established.

Firstly, sorting out the categories of entry mode in the construction field, which provide an entry mode list for ICCs to select. Secondly, revealing the impact mechanism of ICC entry mode, which proposes a systematic decision-making system for the selection of ICC entry mode. Thirdly, constructing a CBR entry mode decision-making model from an empirical perspective, which offers tool support and reduces transaction costs in the decision-making process.

The study on entry modes for ICCs is still in the preliminary exploratory stage. The authors investigate the entry mode categories and decision-making mechanisms for ICCs based on Uppsala internationalization process theory. It widens the applied scope of Uppsala and promotes cross-disciplinary integration. In addition, the authors creatively propose a two-stage retrieval mechanism in the CBR model, which considers the order of decision variables. It refines the influence path of the decision variables on ICCs' entry mode.

Prominent corporate scandals involving companies like Wirecard, Enron, VW and Tyco underscore the corrupting influence of power, with leaders often engaging in antisocial behaviors. Provoked by this, this study investigates the relationship between supervisory responsibility and one specific dimension of altruistic behavior. Understanding the dynamics of how structural power, particularly supervisory responsibility, associates with altruistic behavior is essential for organizations, given the well-documented advantages of altruistic leaders in terms of performance, innovation or ethical leadership.

Drawing upon the approach-inhibition theory of power, this article proposes that individuals with greater structural power in terms of prolonged duration and greater scope of supervisory responsibility will show diminished altruistic behavior. Following theoretical considerations, power influences leaders’ behavior by decreasing attentiveness, reducing empathy and increasing self-focus. The study uses recent German linked employer-employee data to test the relationship between supervisory responsibility and one specific dimension of leader altruistic behavior (n = 2,752).

The results support that a prolonged duration and a greater scope of supervisory responsibility correlate negatively with the dimension of leader altruistic behavior under study.

The research empirically validates the findings on behavioral consequences of structural power from experimental settings for organizational leaders by explicitly focusing on the duration and the scope of supervisory responsibility. The findings provide useful insights for organizations concerning leader selection and leader governance mechanisms.