Search results

Grounded in dynamic capabilities theory, this study aims to examine how dynamic capabilities and a transactive memory system (TMS) can build the resilience of service organizations and improve their financial performance. Limited studies examine the link between a TMS and organizational resilience.

The authors test a theoretical model on a sample of 350 UK service firms that were impacted by the COVID-19 pandemic and analyze the data using partial least square structural equation modeling.

Results highlight the positive effects of a TMS and dynamic capabilities on organizational resilience. Only a TMS and organizational resilience have direct positive effects on financial performance.

To the best of the authors’ knowledge, this is the first study to ascertain the influence of a TMS on organizational resilience in service firms following adversity.

Effective translation has become essential for seamless cross-cultural communication in an era of global interconnectedness. Translation management systems (TMS) have redefined the translation landscape, revolutionizing project management and execution. This study examines the attitudes of translation agencies and professional translators towards integrating and utilizing TMS, with a specific focus on Saudi Arabia.

The study's design was based on a thorough mixed-methods strategy that purposefully combined quantitative and qualitative procedures to create an array of findings. Through a survey involving 35 participants (both project managers and professional translators) and a series of interviews, this research explores the adoption of TMS, perceived benefits, influencing factors and future considerations. This integrated approach sought to investigate the nuanced perceptions of Saudi translation companies and expert translators about TMS. By combining the strengths of quantitative data's broad scopes and qualitative insights' depth, this mixed-methods approach sought to overcome the limitations of each method, ultimately resulting in a holistic understanding of the multifaceted factors shaping attitudes within Saudi Arabia's unique translation landscape.

Based on questionnaires and interviews, the study shows that 80% of participants were familiar with TMS, and 57% had adopted it in their work. Benefits included enhanced project efficiency, collaboration and quality assurance. Factors influencing adoption encompassed cost, compatibility and resistance to change. The study further delved into participants' demographic profiles and years of experience, with a notable concentration in the 6–10 years range. TMS adoption was linked to improved translation processes, and participants expressed interest in AI integration and mobile compatibility. Deployment models favored cloud-based solutions, and compliance with industry standards was deemed vital. The findings underscore the evolving nature of TMS adoption in Saudi Arabia, with diverse attitudes shaped by cultural influences, technological compatibility and awareness.

This research provides a holistic and profound perspective on the integration of TMS, fostering a more comprehensive understanding of the opportunities, obstacles and potential pathways to success. As the translation landscape continues to evolve, the findings from this study will serve as a valuable compass guiding practitioners and researchers towards effectively harnessing the power of technology for enhanced translation outcomes.

As a kind of knowledge-intensive team coordinated across physical distance, it is necessary to construct a meta-knowledge driven transactive memory system (TMS) for the knowledge management of distributed agile team (DAT). This study aims to explore the comprehensive antecedents of TMS establishment in DATs and considers how TMS establishment is affected by herding behavior under the artificial intelligence (AI)-related knowledge work environment that emerges with technology penetration.

The data derived from 177 students of 52 DATs in a well-known Chinese business school, which were divided into 26 traditional knowledge work groups and 26 AI-related task groups to conduct a random comparative experiment. The ordinary least squares method was used to analyze the conceptual model and ANOVA was used to examine the differences in herding behavior between the control groups (traditional knowledge work DATs) and treatment groups (DATs engaged in AI-related knowledge work).

The results showed that knowledge diversity, professional knowledge, self-efficacy and social system use had significantly positive effects on the establishment of TMS. Interestingly, the authors also find that herding behavior may promote the process of establishing TMS of the new team, and this effect will be more significant when AI tasks are involved in team knowledge work.

By exploring the comprehensive antecedents of the establishment of TMS, this study provided a theoretical basis for knowledge management of DATs, especially in AI knowledge work teams. From a practical perspective, when the DAT is involved in AI-related knowledge works, managers should appropriately guide the convergence of employees’ behaviors and use the herding effects to accelerate the establishment of TMS, which will improve team knowledge sharing and innovation.

Knowledge transfer which refers to the communication of knowledge from a source so that it is learned and applied by a recipient has long been a challenge for knowledge management. The purpose of this study is to understand influencing factors of transactive memory system (TMS) and knowledge transfer.

Drawing on the theories of communication visibility, social distance and flow, this study develops a research model. Then, data are collected from users of the social media mobile App. Partial least squares-structural equation modeling (PLS-SEM) is employed to analyze data.

TMS is a valid second-order construct in the social media mobile app context, which is more reflected by credibility. Meanwhile, communication visibility and social distance each have positive effects on TMS which further has a positive effect on knowledge transfer. Flow has a positive effect on knowledge transfer.

Developers of the mobile App should carefully consider the role of information and communication technology (ICT) in supporting TMS and knowledge transfer. They should consider recommendation algorithm so that the benefit of communication visibility can be retained. They should design the feature to classify users based on similarity so as to stimulate users' feeling of close social distance. They should keep on improving features based on users' holistic experience.

This study incorporates the perspectives of communication visibility, social distance and flow to understand TMS and knowledge transfer, presenting a new lens for research.

To support the advancement of an underrepresented category of research in the field of entrepreneurial teams, this study proposes and tests a novel empirical model that connects two team emergent states, namely team entrepreneurial passion (TEP) and transactive memory systems (TMSs), and their influence on team performance.

The data were gathered using an online questionnaire distributed to undergraduate students who had formed entrepreneurial teams as part of a course assignment. Two methods were executed on the obtained data, namely partial least-square structural equation modelling (PLS-SEM) and necessary condition analysis (NCA).

The results uphold the hypothesised mediation role of TMSs between TEP and team performance. Of the two direct relations in the model, only the necessary conditions were present for the effect of TEP on TMSs.

The issue of the small sample size, a common feature in entrepreneurial team research, as discussed in the methodical section of the paper, is sidestepped with the use of PLS-SEM tools. Nonetheless, a larger sample size could have increased confidence in the results' validity. In addition, a longitudinal approach to data collection and analysis could have been used to augment that confidence further.

Three practical implications stem from the empirical findings. First, it lends support for implementing teaching approaches and task designs that are envisaged to improve team functioning in university classrooms. Making a business plan boosts students' desire to exploit the received knowledge and find a venture, so the teaching effort in entrepreneurship courses can have real-world consequences.

By testing the mediation model, new insights are made into the associations between team emerging states and, subsequently, team performance. In addition, this study responds to recent calls in the literature to incorporate NCA in an entrepreneurial setting.

Researchers explore the impact of an intelligent assistant in virtual teams by applying the theoretical lens of a transactive memory system (TMS) to understand the relationships between trust in a specific technology, knowledge sharing and knowledge application.

An online survey was administered to a Qualtrics-curated panel of individual, US-based virtual team members utilizing an intelligent assistant with team collaboration software. Partial least squares structural equation modeling (PLS-SEM) was utilized to examine the hypothesized relationships of interest.

Results suggest that knowledge application is strongly influenced by trust in a specific technology and knowledge sharing. Additionally, a transactive memory system positively increases trust in the intelligent assistant, and similarly, trust in the intelligent assistant has a significant positive relationship with knowledge sharing.

The research model contributes to our understanding of the impact of an intelligent assistant in virtual teams. Although the transactive memory system construct has been explored in various contexts and models, few have explored the impact of an intelligent assistant and trust in a specific technology.

This study aims to address the question of what coordination mechanism can be used for cultural production and, in particular, for the governance of music culture production. The authors locate their reflection within the specific institutional innovations introduced in Italy in 2017, focusing on the idea of shared administration and the public–private collaboration instituted in Trentino (a province located in northern Italy) in support of its cultural policy.

This study focusses on the Trentino’s music school system. This includes 13 organisations (musicians’ cooperatives as well as associations of musicians and students, plus one municipal school which do not overlap with the public school system). To analyse shared administration features, the authors rely on selected information from 50 interviews with Trentino Music Schools (TMS) teachers and administrators, and on the proceedings of the 1994 music school conference organised by the schools at the time when this novel educational system was created.

To offer an innovative educational service, the public actor (Provincia Autonoma di Trento [PAT]) and the schools (TMS) have developed a strong interdependence at the different levels of decision-making: PAT needs organisations that are sufficiently structured and organised to respect requirements of transparency and accountability, as well as educational standards, whereas TMS need public funding to maintain their service accessible for users, good labour conditions and be financially sustainable. Likewise, the success of TMS in educating thousands of students every year, including additional teaching programmes funded by PAT within general public schools, has contributed to decrease the exclusion from music education, raise interest in young people for music and fed enrolment in TMS as well as in the public schools related to the conservatoire filière. Conclusions emphasise the existence of a polycentric system of music culture production which needs to acknowledge the risk of being trapped in a static disequilibrium, while recognising change and the need to support and promote a culture of cooperation among schools and across layered institutional levels over time.

Further research can observe this system of cultural production over time, to appreciate changes and organisational tranformations, while introducing comparative analysis with other systems in different regions.

The relationship between the public and private sectors to design, organise and manage activities of collective interest (in the social, cultural, sporting and other fields) can increasingly become an effective and efficient alternative to the traditional bureaucratic as well as to the competitive method. For this to happen, however, all actors involved must be aware not only of areas of efficiency but also of inefficiency. To remedy the latter, corrective measures will have to be introduced. For example, fostering and improving “co-programmazione” and “co-progettazione” means giving all stakeholders involved the opportunity to actively participate. Should the number of participants increase, more discussion fora could be set up because one alone may not be sufficient to foster maximum involvement, to enhance different points of view, to allow for intersectoral and multidisciplinary interpretations and responses.

The system governance based on co-programming and co-design has allowed – despite limitations – to pursue educational purposes and thus well-being for the users, as well as for the teachers and the community as a whole. The continuity of this educational and cultural action has been guaranteed by the economic and financial sustainability of the schools, which is highly dependent on the public actor funding personnel costs, and in turn tied to the number of students (demand) attending each school. Actors embedded in the system need to build awareness of industry and cultural changes and knowledge of how to introduce more adaptive capacity. This points towards the need for strengthening networking capacity and collaboration among schools and other relevant stakeholders.

The case presented is a unique system of music culture production in Italy, and its governance has never been addressed by previous studies. It provides an application of shared administration to which public administrations and communities can learn to improve access to music culture and education. For public and private organisations to take advantage of the method of “co-programmazione” and “co-progettazione”, to make the production of a meritorious good more efficient and to favour its maximum accessibility, this study considers the strengths and weaknesses of this approach, or the areas of efficiency and inefficiency, for which new measures will have to be introduced.

This study aims to focus on how the design of an organization influences employee sustainability. It also highlights how top management support can mediate this relationship.

In order to examine the role of employee quality of life on performance sustainability, a quantitative survey approach was adopted. A questionnaire was distributed using simple random sampling to the employees working in the hotel sector.

Results suggest that organizations can enhance employee sustainability, including performance, commitment, motivation and retention, by investing in values that align with their employees, providing suitable health and wellness initiatives, and adopting in career growth policies. In that, values, health and wellness and human development are confirmed to be core determinants of employee sustainability, with a negligible role of fair compensation and physical artifacts. Top management support is found to mediate the relationship between employee quality of life and sustainability.

This study contributes to a better understanding of how organizational design for quality of life can assist employee sustainability with the mediation role of top management support. The study recommends that the hotel organizations should consider designing their work environments to promote their employee quality of life, which affects their sustainability within the hotel industry.

This study contributes to a better understanding of how organizational design for quality of life can assist employee sustainability with the mediation role of top management support. The study recommends that the hotel organizations should consider designing their work environments to promote their employees’ quality of life, which affects their sustainability within the hotel industry.

While there is ample research in business and management literature on the economic and environmental factors of sustainability, social sustainability has received less concentration. This study gives more attention to how employee social sustainability can be affected by the managerial and organizational factors of ensuring work life balance and top management support.

Blockchain technology has brought about significant transformation among organizations worldwide. This study aimed to explore the effects of organizational and technological factors on blockchain technology adoption (BTA) and financial performance (FP) in Pakistan.

This is a co-relational study which used the cross-sectional data. We gathered the data from the managers of Pakistan’s small and medium-sized enterprises (SMEs), which functioned their industries with blockchain technology. We applied convenience sampling to identify the respondents. Finally, we based this study’s findings on 274 valid cases.

We used structural equation modeling (SEM) in this study, to exert a positive and significant impact on organizational factors such as organizational innovativeness (OI), organizational learning capability (OLC), top management support (TMS) and organizational work climate (OWC) on BTA. In addition, the technological factors, such as complexity (CTY), technology readiness (TR), compatibility (CBTY) and technology capability (TC), have a positive and significant effect on BTA. Finally, this study’s findings show that BTA positively and significantly impacts FP.

This study’s findings will help policymakers and planners to design policies to adopt other blockchain technologies to improve SMEs’ operations. Moreover, this study’s findings will inspire policymakers and planners to actively seek new ideas, knowledge and skills through acquiring new knowledge to assist with their IT-related decisions.

This study empirically confirms the role of organizational and technology factors toward BTA and FP among Pakistan's SME managers.

Reverse logistics services are designed to move goods from their point of consumption to an endpoint to capture value or properly dispose of products and materials. Artificial intelligence (AI)-based reverse logistics will help Micro, Small, and medium Enterprises (MSMEs) adequately recycle and reuse the materials in the firms. This research aims to measure the adoption of AI-based reverse logistics to improve circular economy (CE) performance.

In this study, we proposed ten hypotheses using the theory of natural resource-based view and technology, organizational and environmental framework. Data are collected from 363 Indian MSMEs as they are the backbone of the Indian economy, and there is a need for digital transformation in MSMEs. A structural equation modeling approach is applied to analyze and test the hypothesis.

Nine of the ten proposed hypotheses were accepted, and one was rejected. The results revealed that the relative advantage (RA), trust (TR), top management support (TMS), environmental regulations, industry dynamism (ID), compatibility, technology readiness and government support (GS) positively relate to AI-based reverse logistics adoption. AI-based reverse logistics indicated a positive relationship with CE performance. For mediation analysis, the results revealed that RA, TR, TMS and technological readiness are complementary mediation. Still, GS, ID, organizational flexibility, environmental uncertainty and technical capability have no mediation.

The study contributed to the CE performance and AI-based reverse logistics literature. The study will help managers understand the importance of AI-based reverse logistics for improving the performance of the CE in MSMEs. This study will help firms reduce their carbon footprint and achieve sustainable development goals.

Few studies focused on CE performance, but none measured the adoption of AI-based reverse logistics to enhance MSMEs’ CE performance.