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This study aims to investigate the relationship between personality traits and innovative behaviour, using a mixed-methods approach to provide deeper insights into these dynamics.

The authors used a mixed-methods approach, integrating fuzzy set qualitative comparative analysis (fsQCA) with traditional multiple linear regression analysis. This study was conducted among 76 university graduates, using the Big Five personality model and the Innovator DNA model to assess innovative behaviour.

The findings reveal significant positive correlations between conscientiousness, extraversion and innovative behaviour. The inclusion of fsQCA allowed for a more nuanced understanding of the complex interactions between personality traits and innovative behaviour, highlighting configurations of traits that traditional methods may overlook.

This study's sample size and focus on university graduates may limit the generalisability of the findings. Future research should explore these relationships in more diverse populations and settings to enhance generalisability.

The insights gained from this study can inform the development of more effective talent management strategies, helping organisations to better align personality traits with roles that demand high innovation. This approach can optimise team composition and improve innovative output.

Understanding the configurations of personality traits that lead to innovative behaviour can help educational institutions and organisations foster environments that support diverse and innovative thinking, ultimately contributing to societal progress.

This research contributes to the literature by demonstrating the efficacy of fsQCA in capturing the complexities of human behaviour, particularly in the context of personality traits influencing innovation. By combining qualitative and quantitative analyses, this study provides a comprehensive perspective that enhances both methodological rigour and the depth of understanding in psychological and innovation studies.

This study explores the configurations of management control systems (MCSs) while taking into account entrepreneurial cognition styles (ECSs) in small and medium enterprises (SMEs). The objective is to understand the impact of ECS on deployment and identify the various modes of MCS configurations employed by SMEs. The authors draw on and synthesise two theoretical perspectives relating to cognition and management control packages to understand the associations between ECS and MCS employed by SMEs in managing their business. This study was conducted using a quantitative approach that utilises a questionnaire survey to collect cross-sectional data from 150 SMEs. The authors uncovered three cognitive styles: knowing (e.g. preciseness), planning (e.g. organising), and creativity (e.g. innovativeness). Furthermore, five configurations of MCS utilised by SMEs were identified: customer focus, performance monitoring, administrative focus, strategic focus, and development focus. By combining both analyses, the authors discovered three constellations of significant association between ECS and MCS characterised by Cluster 1’s cohesive integration approach, Cluster 2’s revealing strategic approach, and Cluster 3’s multifaceted exploration. The study is significant because it uncovers the complex relationship between ECS and MCS configurations, highlighting their interdependence within the institutional context. Using a cognitive view, the authors explore how the cognitive styles of entrepreneurs facilitated imprinting institutional context into MCS configurations. These insights enable us to envisage that ECS is not mutually exclusive but forms a continuum that provides more plausible explanations that relax the direct universal relationship between MCS configurations and contextual factors.

The principal aim of the research was to develop Interactive Mobile Learning Modules (IMLM) as an approach to innovative teaching practices in online distance education.

The study employed educational action research, using a quasi-experimental design catering to ninth-grade students (N = 104) attending a public high school in Manila.

Our research indicates that IMLM has a positive effect on student engagement. It provides students with a convenient, easily accessible, and engaging means of understanding Genetics concepts. The execution of this initiative has facilitated the emergence of novel ideas, heightened the ease of use, and advanced more equitable opportunities within the education domain. Thus, IMLM’s utilization has resulted in a favorable shift in conceptual understanding. It has been found to support learners' concept test performance, as evidenced by score gains and statistically significant improvement in understanding.

The study is limited with the development and utilization of mlearning strategy to accommodate learners in the public school system in a developing country.

The study addresses ongoing strategy and discussion to enrich online learning through the mlearning strategy.

The study accommodates inclusivity and equitable learning through personalize mlearning strategy.

The study is novel because it utilize mlearning as innovative approach to teaching genetics.

The authors mobilise stewardship theory, which delves into trust and collaboration dynamics, advocating for long-term gains through actions beneficial to the broader community. Used as a fundamental framework to conceptualise the model, stewardship theory enhances the understanding of the effect of purchasing social responsibility (PSR) practices to foster innovativeness and performance through the supply chain (SC). This study aims to examine the relationship between PSR, SC innovativeness (SC-INNO) and SC operational performance (SCOP). In addition, the moderating effect of sustainability labels on these relationships will be studied.

Based on survey data from 177 organisations analysed through partial least square structural equation modelling, the results suggest that PSR has a positive and significant effect on SC-INNO and SCOP. In addition, SC-INNO plays a partial mediation role since the direct effect between PSR and SCOP is validated. Furthermore, the moderating effects of holding a sustainability label and industry type about PSR and SCOP are supported.

The results indicate a significant positive influence of PSR on both SC-INNO and operational performance. SC-INNO is found to partially mediate the PSR–SCOP relationship. Moreover, sustainability labels and industry type significantly moderate the effects of PSR on SCOP.

The findings extend stewardship theory into the sustainable purchasing and supply management field by providing empirical support for PSR as a reflection of stewardship behaviours by fostering innovation and performance throughout the SC.

In recent years, issues like untrusted or questionable sources of information are indisputably rampant in the digital era. The quality of information is now found to be challenging with its kind of issues, crisis and also clarity in which it requires to have a strategic scenario and practice to enhance quality assurance in order to creating safe cyber-spaces. The initiative to organise information at the organisational stage has widely emerged on the cyberspace. This paper aims to examine the insights of the element of trust in quality communication and information management to drive key performance indicator to support organisational sustainability. This approach is likely to play a significant role in enhancing critical inquiry in to issue of trust in information to ensure untainted integrity and quality assurance of the source of the information.

The preparation of this paper used a systematic literature review according to four phases, namely, identification, assessment or examination, extraction and interpretation. This approach was selected to advance critical inquiry into the most current topic on the trust for quality of information as way of strategic communication management to achieve safe cyber-organisational sustainability. The process was made through the various sources of peer-reviewed articles including journals, book chapters, books and conference proceedings. The literature review was carried out through the search for keywords such as trust in information, strategic communication and safe cyber-organisational sustainability.

The results revealed that the trust in quality of information with its wide range of initiatives could be enhanced as an initial attempt to embrace comprehensive approach in establishing strategic communication to ensure organisational sustainability and quality assurance of safe cyber space. The result further indicated three points, which follows development of virtual interaction with information management for safe cyberspace, enhancing continued predictability assessment in digital information process and practice and developing trust in information and quality of communication for organisational sustainability.

This paper is expected to give an insightful value in contributing to quality measurement of the strategic communication to promote trust in quality of information. Hence, the design to expand strategic management to support digital social connections in the cyber space. As a result, the profound contribution would also lead to enhancement of organisational sustainability in the digital era, amid technological trends.

The need to develop an approach to strengthen the trust in information in the digital cyberspace should focus on providing insights into the quality of information, authenticity and integrity to develop quality assurance for social connection. The awareness raising process in consolidating the trust in information has to start with exploring early social interaction in the digital age. This approach provides quality assurance to linking digital connection to develop trust in the quality of information. This would enable feedback to ensure accessibility and accuracy of quality of information dealing with critical elements relating to organisational sustainability.

The entire awareness in expanding the trust as information quality indicator has to be started with exploring the early social interaction in the digital age, to achieve quality basis on linking the digital connection as an attempt to build the information quality. This would give a feedback in ensuring the accessibility and accuracy of information quality together with dealing with an ultimate element to lead to the organisational longevity.

Additive lamination manufacturing (ALM), as a novel additive manufacturing technology, builds up the geometry via the lamination of fiber-reinforced polymer (FRP) fabric laterally, rendering it suitable for fabricating large-scale Stay-in-Place concrete formwork. This paper aims to investigate the control parameters and structure performance of ALM and assess its application for the fabrication of large-scale concrete formwork.

Based on previous feasibility studies, this research systematically investigates the control and material parameters that influence horizontal and vertical extrusion speeds, as well as the overall quality of ALM. Once the system parameters are established, a series of prototypes are fabricated and tested to validate the tensile strength of the formwork and its reinforcement capabilities. In addition, this study assesses the potential geometric freedom and implementation constraints of ALM.

This research identifies the essential control parameters for path planning in ALM and examines their impact on fabrication. In addition, this paper evaluates ALM’s strengths and limitations in producing concrete formwork for large-scale concrete structures, comparing these to industry benchmarks.

A critical challenge in additive manufacturing lies in its scalability and compatibility with existing construction processes. In comparison to concrete, FRP offers advantages such as being lighter, easier to handle and providing surface protection and reinforcement. These qualities make FRP superior for formwork and compatible with existing building standards. Despite its advantages and potential, the current path planning and control model in 3D printing do not apply to ALM due to its novel build-up process. Also, the performance of fabricated parts as part of integrated large-scale structures is yet to be studied.

Blockchain technology (BCT) can play a vital role in manufacturing industries by providing visibility and real-time transparency. With BCT adoption, manufacturers can achieve higher productivity, better quality, flexibility and cost-effectiveness. The current study aims to prioritize the performance metrics and ranking of enablers that may influence the adoption of BCT in manufacturing industries through a hybrid framework.

Through an extensive literature review, 4 major criteria with 26 enablers were identified. Pythagorean fuzzy analytical hierarchy process (AHP) method was used to compute the weights of the enablers and the Pythagorean fuzzy combined compromise solution (Co-Co-So) method was used to prioritize the 17-performance metrics. Sensitivity analysis was then carried out to check the robustness of the developed framework.

According to the results, data security enablers were the most significant among the major criteria, followed by technology-oriented enablers, sustainability and human resources and quality-related enablers. Further, the ranking of performance metrics shows that data hacking complaints per year, data storage capacity and number of advanced technologies available for BCT are the top three important performance metrics. Framework robustness was confirmed by sensitivity analysis.

The developed framework will contribute to understanding and simplifying the BCT implementation process in manufacturing industries to a significant level. Practitioners and managers may use the developed framework to facilitate BCT adoption and evaluate the performance of the manufacturing system.

This study can be considered as the first attempt to the best of the author’s knowledge as no such hybrid framework combining enablers and performance indicators was developed earlier.

The study aims to develop a hierarchical model for innovative work behaviour (IWB) that can capture the complex associations among the factors contributing to IWB within the information technology (IT) sector. To accomplish this, the authors rely on an abductive approach using a graph theoretic model, often called interpretive structural modelling (ISM).

After conducting an in-depth literature review and using the Delphi method, the authors identified 12 factors (11 enablers and IWB as an outcome). The authors collected data through the Delphi approach by sending the questionnaire to 11 experts from academia and the IT sector who have extensive experience and knowledge relevant to the study. The authors then used the ISM method to analyse the relationships among these factors and understand their driving forces.

Based on the ISM model and the Matrice d'Impacts Croisés Multiplication Appliquée à un Classement analysis, the authors have identified that inclusive leadership, proactive personality and knowledge creation ability are the variables with strong driving power but weak dependence. Conversely, IWB has strong dependence but weak driving power. These findings suggest that to foster IWB, the organisation should prioritise inclusive leadership, proactive personality and knowledge-creation ability to succeed in challenging times. The study’s findings contribute to the social exchange theory, which explains IWB in a dynamic setting. Additionally, the study helps address the significant concerns that most IT companies face during times of crisis.

The study provides valuable guidance for managers and policymakers who are grappling with the challenges of improving IWB in the IT sector. This study is particularly relevant as the industry is currently navigating an economic recession and facing intense competition from other tech companies launching new products and services.

This research holds great significance for top executives, line managers and policymakers in the IT industry. It sheds light on the relevance and importance of various factors facilitating millennials' IWB.

A large number of studies indicate that coercive forms of organizational control and performance management in health care services often backfire and initiate dysfunctional consequences. The purpose of this article is to discuss new approaches to performance management in health care services when the purpose is to support innovative changes in the delivery of services.

The article represents cross-boundary work as the theoretical and empirical material used to discuss and reconsider performance management comes from several relevant research disciplines, including systematic reviews of audit and feedback interventions in health care and extant theories of human motivation and organizational control.

An enabling approach to performance management in health care services can potentially contribute to innovative changes. Key design elements to operationalize such an approach are a formative and learning-oriented use of performance measures, an appeal to self- and social-approval mechanisms when providing feedback and support for local goals and action plans that fit specific conditions and challenges.

The article suggests how to operationalize an enabling approach to performance management in health care services. The framework is consistent with new governance and managerial approaches emerging in public sector organizations more generally, supporting a higher degree of professional autonomy and the use of nonfinancial incentives.

Previous research has indicated that entrepreneurial marketing (EM) positively influences small and medium-sized enterprises’ (SMEs) performance. While most studies have examined the relationship in a stable environment, EMs’ effectiveness during environmental instability remains uncertain. Therefore, the study aims to investigate the influence of EM on Indian manufacturing-based SMEs’ performance during the COVID-19-induced environmental instability. Additionally, it explores the mediating role of innovative performance in the relationship between EM and SME performance.

The data were collected by distributing a structured survey questionnaire to 302 owners/managers of SMEs. Hypotheses were tested using structural equation modeling (SEM).

The result indicates that EM significantly impacts both innovation and SME performance. Furthermore, the innovative performance partially mediates the link between EM and SME performance. The findings suggest that even within severely affected sectors (manufacturing) during the pandemic, SMEs can achieve growth and innovation through effective EM practices.

This study validates the theoretical notion that EM remains effective even in unpredictable environments such as the COVID-19 pandemic. The findings offer valuable insights for SMEs seeking innovative strategies to enhance their performance, particularly those in emerging economies.

Prior studies have relied on a single layer of abstraction to analyze the impact of EM. The present study is the first to extend standard construct (EM) conceptualization. Furthermore, it evaluated the efficiency of EM in situations characterized by instability, which is rare in the EM and SME literature.