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Intersectionality addresses complex avenues of oppression that emanate at the intersections of one’s identities. However, the intersectional framework assumes static identities, which are increasingly being acknowledged for their fluidity. This research explored the extent of the fluidity of social identities to draw implications for the application of the framework in research.

27 participants from a post-graduate elective course on diversity and inclusion identified their significant social identities, and submitted a write-up using hermeneutic phenomenology in which the participants shared their lived experiences of the fluidity of their social identities in different spaces they occupy or find themselves in.

Fluidity-triggering stimuli in different environments and their associations with identity-related motives were uncovered using thematic analysis. Stimuli operating at micro-, meso- and macro-levels rationally explained identity fluidity. However, in addition to types, intensity and frequency of stimuli, psychological factors, such as identity status, were decisive in determining the degree of generalization of stimuli across individuals and spaces that significantly influenced identity fluidity.

This research explored the extent of the fluidity of social identities to draw implications for the application of the intersectional framework in research. The findings contribute to future research by identifying limitations of the intersectional framework based on the fluidity of social identities arising from environmental stimuli that operate at micro-, meso- and macro-levels, and the extent of psychological generalization of these stimuli across spaces.

The purpose of this paper is to investigate the factors influencing the development of social media marketing strategy in an international context. We specifically look at the potential drivers and barriers throughout the social media marketing strategy development process and how cultural differences shape social media marketing strategy decision-making among firms in international markets.

The study is conducted with an inductive research approach involving in-depth interviews with 32 firms from Finland, China and Brazil. Using inductive data analysis, we identify both internal and external factors that drive and hinder the development of firms’ social media marketing strategies. Moreover, we explore the essential elements in social media marketing strategy development based on the key practices observed among these firms, which enables us to conduct a comparative analysis of how cultural values influence the development of social media marketing strategies.

Our findings underscore the importance of both internal (i.e. resources and capabilities) and external (i.e. market-level and country-level) factors that influence the development of social media marketing strategy. Our analysis also unveiled four key practices throughout the social media marketing strategy development process: social selling, content marketing, risk management and relationship management. Additionally, we identified three distinct mindsets regarding firms’ social media selling objectives across companies in the three countries.

The comparative approach provides novel insight into firms' international social media marketing strategy. Our proposed conceptual model shows the development process of social media marketing strategy in the international context. The research propositions highlight the role of cultural values and open up new avenues for future research.

This paper aims to address the limitations of current deep learning algorithms for sound source localization (SSL), which focus on a single feature and frequency scale, neglecting the integration of multi-scale information. The method developed in this study enhances localization accuracy by effectively using the spatial information and spectral diversity provided by microphone arrays.

The method is based on a multi-scale cross-short-time Fourier transform (STFT) complex-valued convolutional neural network (CCNN). It uses cross-STFT spectra at different scales to capture detailed acoustic information across various frequencies. The effectiveness of the algorithm was validated through both simulations and experimental studies.

Experimental results demonstrate that the proposed multi-scale cross-STFT CCNN not only outperforms the single-scale cross-STFT model but also delivers superior localization performance compared to other advanced methods, achieving consistently higher accuracy. The method shows excellent robustness across various signal-to-noise ratio (SNR) conditions and performs well even on imbalanced datasets, confirming its strong generalization capabilities.

This paper introduces a novel approach to SSL that integrates multi-scale information, addressing a key limitation of existing methods. The findings offer significant value to researchers and practitioners in the field of acoustic signal processing, particularly those focused on deep learning-based localization techniques.

The purpose of this paper is to review how knowledge transfer, including knowledge integration, absorptive capacity and reverse knowledge transfer (RKT) in cross-border acquisitions, is examined in existing research work. The authors also propose directions to advance research in cross-border acquisitions.

A systematic literature review is conducted, and related propositions are advanced based on scientometric and bibliometric analysis of 146 papers published over 10 years about tacit knowledge transfer, innovation activities, industrial policy effect on merger decisions, top management experience and value creation in cross-border acquisition. First, the authors searched major themes with the help of Scopus, and later, the authors analysed all received literature with the help of VOS Viewer.

This review facilitates us to identify six clusters and main author keywords. These six clusters are the underlying six research streams, including RKT, cultural distances, value creation, absorptive capacity, innovation and reference to India and China.

Despite knowledge transfer constituting important antecedents and critical factors for the success of cross-border acquisitions, knowledge management in the acquired company through proper knowledge transfer and knowledge integration is not given enough attention. Current literature still fails to provide a holistic picture of how firms strategically manage knowledge post-acquisition. To the best of the authors’ knowledge, this study is the first to analyse the dynamics of knowledge transfer in cross-border acquisitions. The study is a novel attempt to relate current research themes to emerging areas of cross-border acquisitions.

The purpose of this study is to investigate the factors facilitating and influencing the adoption of DevOps practices specifically tailored to mobile software development, with a focus on understanding the influence of mobile-specific requirements on DevOps integration.

The study employs a qualitative methodology, including a literature review, exploratory case research and partial quantitative assessments through DORA metrics and survey applications. This approach, guided by the Technology-Organization-Environment (TOE) framework, prioritizes in-depth insights into the adoption of DevOps practices and explores strategies for integrating DevOps in mobile software development.

The research identifies several key themes specific to Mobile DevOps adoption, including tool integration issues, testing complexities, deployment challenges and security concerns. These findings underscore the necessity for tailored DevOps solutions that can effectively address the unique demands of mobile software development. The study also proposes actionable strategies to overcome these challenges, thereby enhancing the efficiency, quality and security of mobile applications.

The insights gained from this study provide valuable guidance for practitioners in the mobile software development sector. By understanding and addressing the specific challenges of Mobile DevOps, organizations can improve their DevOps practices and achieve better outcomes in terms of project delivery speed, quality and security. For example, implementing robust testing strategies, investing in compatible tools and developing well-defined rollback procedures can significantly enhance Mobile DevOps effectiveness. Furthermore, incorporating continuous security measures and improving cross-functional collaboration can lead to more secure and efficient mobile application deployments.

This study offers valuable starting points for researching Mobile DevOps in real-world settings, based on insights from practical DevOps implementations in a single-case organization. Organizations can use this information to compare their own DevOps approaches with those of the studied organization, and can facilitate self-assessment and improvement.

This study contributes to the limited literature on Mobile DevOps adoption and proposing actionable strategies. By incorporating the TOE framework, it provides a comprehensive guide that enhances understanding and management of DevOps practices throughout the mobile application development lifecycle and offers significant value to practitioners and researchers alike.

We investigate how green transformational leadership (GTL) influences green innovative service behavior (GISB), particularly in the hospitality sector, which faces significant environmental challenges. Drawing from social identity theory (SIT), we introduce green organizational identity (GOI) as a mediating mechanism through which GTL fosters GISB. Furthermore, we propose a moderated mediation model whereby a green knowledge-sharing climate (GKSC) serves as a first-stage moderator to further understand how and when GTL fosters GISB through GOI.

We employed a multi-study design (i.e. two independent studies across China) to test the hypothesized relationships. Study 1 involved full-time employees from the service industry in China, including healthcare, telecommunication, and insurance sectors (N = 313). Study 2 employed a time-lagged dyadic design, collecting responses from employees and their managers at three different time points in the hospitality sector (N = 419).

In Study 1, the simple mediation results demonstrate that GTL positively influences GISB through the mediating role of GOI. Moreover, in Study 2, the moderating effect of GKSC was supported, showing that in organizations with strong green knowledge-sharing climate, the indirect effect of GTL on GISB via GOI is amplified.

In our work, we address a critical gap in the literature by identifying both the mechanisms and contextual factors that explain how GTL influences GISB. By introducing GOI as a mediator and GKSC as a first-stage moderator, the study advances understanding of how leadership, organizational identity, and a green-supportive climate interact to promote eco-friendly innovation in service organizations. This contributes both theoretically and practically to the development of effective strategies for advancing green initiatives in the service sector.

Health technologies are an issue that directly affects the sustainability and quality of health services. Due to budget constraints, it is not financially possible for businesses to apply comprehensive improvement strategies to all these criteria. In this case, it is possible for businesses to implement more priority strategies. Accordingly, the main purpose of this study is to evaluate the important performance indicators of health technology investments.

Firstly, with the help of the artificial intelligence system, a decision matrix is established. Secondly, spherical fuzzy total order of preference decision-making trial and evaluation laboratory methodology is taken into consideration for weighting the criteria. Thirdly, emerging seven countries are ranked by using spherical fuzzy MultiAtributive Ideal-Real Comparative Analysis (MAIRCA).

The findings demonstrate that the criteria of health policies and research and development are defined as the most significant factor in this regard. China and Turkey are also found to be the most successful emerging countries with respect to the performance of health technology investments.

The main contribution of this study is that a novel decision-making model is generated by integrating artificial methodology into the spherical fuzzy sets.

This paper aims to investigate the effects of process parameters on parts produced through the material extrusion process to create a piping spacer suitable for oil and gas applications.

The two primary materials examined were Acrylonitrile Styrene Acrylate (ASA) and High-Impact Polystyrene (HIPS). Taguchi’s design of experiment methodology was used for the design of experiments. The effect of processing parameters fill density, layer thickness and printing orientation) on the output factors (maximum compressive strength and specific energy) was analyzed through analysis of variance. According to the application of the piping spacer, compression testing is deemed to be as per ASTM-D695 requirements. In addition to this, the optimum processing factors were identified through gray relational analysis (GRA) and response surface methodology (RSM).

ANOVA results indicate that fill density had the highest percentage contribution for ASA, with a percentage of 29.84%, followed by layer thickness (27.54%) and printing orientation (22.08%). However, for the HIPS material, density was the most influential element, with a contribution of 77.80%, followed by layer thickness at 16.77% and printing orientation at 4.39%. Optimization of the process parameters through GRA and RSM suggested the optimum parameters combination for ASA was 90° printing orientation, 0.09 mm layer thickness and 100% fill density, whereas HIPS had the same response except for the printing orientation, which was 0°, 0.09 mm layer thickness and 100% fill density.

This paper can serve as an aid in understanding the effect of printing orientation, layer thickness and fill density on the plyometric material extrusion process.

This study aims to investigate the impact of organizational mistreatments, such as workplace bullying and ostracism, on task performance. Additionally, it explores the mediating role of cyber loafing and the moderating role of negative reciprocity beliefs.

Adopting a positivism research philosophy and a deductive approach, this study focuses on the petroleum sector-related organizations where enterprise resource planning requires active Internet use, potentially leading to cyber loafing. Data were collected from employees using purposive sampling techniques, resulting in a sample size of 248. The data analysis was conducted using AMOS and SPSS software.

The results indicate that cyber loafing fully mediates the relationship between workplace bullying and ostracism on task performance. Additionally, negative reciprocity beliefs significantly moderate the relationship between workplace bullying, ostracism and cyber loafing.

This study presents a moderated-mediation model of organizational mistreatments and task performance, elucidating the mechanisms through the mediating role of cyber loafing and the moderating role of negative reciprocity beliefs.

This study aims to find out whether firms in the local textiles industry are benefiting from the combined implementation of lean practices (LPs) and quick-response manufacturing (QRM) during the era of COVID-19. The study further explores the mediating role played by quick response manufacturing in the relationship between LPs, internal process performance (IPP) and customer performance.

A questionnaire is used to garner data from 123 local firms in Ghana’s textile industry. The analysis for all the hypothesized relationships is done using partial least square structural equation.

The results of the study indicate that LPs significantly strengthen the implementation of QRM. The result also suggests that LPs and QRM can be combined to influence IPP and customer performance. The results further suggest that QRM mediates the relationship between LPs, IPP and customer performance.

This study proposes and develops an integrated research model that explores the synergistic application of LPs and QRM in achieving improvements in IPP and customer performance from an emergent country perspective during the era of COVID-19. QRM serves as an important mechanism through which the relationship between LPs, IPP and customer performance can be explained.