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With the recent availability of large number of bioinformatics data sources, query from such databases and rigorous annotation of experimental results often use semantic frameworks in the form of an ontology. With the growing access to heterogeneous and independent data repositories, determining the semantic similarity or difference of two ontologies is critical in information retrieval, information integration and semantic web services. The purpose of this paper is to propose a new sense refinement algorithm to construct a refined sense set (RSS) for an ontology so that the senses (synonym words) in this refined sense set represent the semantic meanings of the terms used by this ontology.

A new concept of a semantic set is introduced that combines the refined sense set of ontology with the relationship edges connecting the terms in this ontology to represent the semantics of this ontology. With the semantic sets, measuring the semantic similarity or difference of two ontologies is simplified as comparing the commonality or difference of two sets.

The experimental studies show that the proposed method of measuring the semantic similarity or difference of two ontologies is efficient and accurate; comparisons with existing methods show the efficacy of using the new method.

The concepts introduced in this paper will improve automation of bioinformatics databases to serve queries based on heterogeneous ontologies.

This study aims to present a conceptual framework for understanding the dual orientations of market-based organizational learning (MBOL), namely, market orientation (MO) and learning orientation (LO), in the development of pricing capability (PC) with the goal of improving business performance (BP). This framework further explores the moderating effects of coordination mechanism (CM) and environmental dynamism (ED) on the PC–BP link and the mediating role of PC on the relationship between MBOL and BP.

This study applied the partial least squares structural equation modeling on survey data from 298 Indian small- and medium-sized enterprises (SMEs) operating in manufacturing and service sectors.

The findings indicate that MBOL significantly contributes to PC development, which in turn improves BP. Interestingly, PC acts as a partial mediator in the MO–BP link, as well as LO–BP link. Moreover, CM and ED strengthen the effect of PC on BP. Finally, MO and LO have substantial and distinct effects on PC and BP.

This study examines only one market-related capability, i.e. PC, considers multi-industry SMEs rather than specific large industries and uses cross-sectional instead of longitudinal data.

These findings are crucial from managerial standpoints because SMEs need to understand the MBOL dimensions, including MO and LO, and their significance in improving PC and BP.

Understanding how MBOL adoption contributes to superior performance is critical, but research in the SMEs context is still lacking. This study addresses a research gap by examining the impact of MBOL on BP, both directly and indirectly, through PC in the context of SMEs.

This study seeks to investigate how managerial assumptions shape international market orientation (IMO) and how IMO, in turn, affects the performance of small and medium-sized enterprises (SMEs), drawing from cognitive theory and the resource-based view (RBV) to provide the theoretical framework.

The study focuses on the relatively unexplored domain of small and medium-sized enterprises (SMEs) in Japan. A survey was developed and tested using data from 303 Japanese SMEs. The study model was subsequently analyzed using the partial least squares (PLS) technique.

The study reveals a nuanced relationship between managerial frames of reference (FoRs) and IMOs. The results confirmed notable congruence between interfunctional market orientation and managers who exhibit a political FoR. They also revealed a positive correlation between professional FoR managers and customer market orientation. Additionally, the findings showed that entrepreneurial FoR managers displayed a significant association with competitive market orientation and Bureaucratic FoR matched with the three types of IMO. Finally, the results indicate that all three forms of IMO have a substantial impact on performance, albeit to varying degrees.

The applicability of our results to multinational corporations (MNCs) has not been evaluated. Since the primary focus was to identify the types of associations among FoR and IMO, the causal pathways and explanatory factors that underpinned these observed relationships were not examined in this study. Additionally, due to the geographical concentration of our sample in Japan, we were unable to conduct tests on the suggested model in other countries to validate and potentially generalize the research findings.

By developing an implicit understanding of the market orientation fit within the organization’s FoR, managers can enhance their understanding of competitors' activities and enable them to respond with greater efficiency.

To the authors’ knowledge, this is one of the rare papers that inspect the relationship between International market orientations and managerial assumptions as well as their effect on performance.

Building upon the firm market orientation theories, this study aims to examine the individual and synergistic effects of the firm inside-out and outside-in marketing capability on its incremental and radical product innovation outcomes.

By collecting cross-sectional data from 203 manufacturing firms in Pakistan, confirmatory factor analysis in AMOS and hierarchical multiple regression analysis in SPSS are performed to validate the study measurement models and test the hypothesized relationships, respectively.

The findings of this study suggest both inside-out and outside-in marketing capability critical for incremental and radical product innovation. Specifically, inside-out marketing capability is found positively associated with incremental product innovation and non-linearly (inverted U-shaped) associated with radical product innovation. Conversely, outside-in marketing capability is found positively associated with radical product innovation but non-linearly (inverted U-shaped) associated with incremental product innovation. However, the results indorse that developing synergy between the inside-out and outside-in marketing capability positively impacts both incremental and radical product innovation.

Drawing from the firm inside-out and outside-in market orientation theories, the study extends the existing research on product innovation outcomes from the marketing capabilities perspective. Previous literature highly recognized the value of the firm market orientation and being market-driven in market-based product innovations. However, there was a lack of understanding of how the firm marketing capabilities facilitate incremental and radical product innovation. This study provides a novel understanding of the firm inside-out and outside-in marketing capability role in inducing incremental and radical product innovation which enrich and extend the current literature on firm capabilities and product innovations from a marketing perspective.

Increased concern about the extensive use of information and communication technology (ICT) has led to widespread research on its effects on employees. This study aims to examine the effect of ICT use and demand on employee-related outcomes, particularly work-life balance, job satisfaction, personal burnout and intention to leave.

The developed model was tested using a survey questionnaire distributed among academics and administrative employees working in the higher education (HE) sector in Qatar. New statistical tools were adopted to analyze the study data (i.e. PLSpredict and partial least squares structural equation modeling for unobserved heterogeneity).

The results confirmed that ICT use affects ICT demand and ICT demand significantly influences employee-related outcomes.

The findings will help HE institutes to carefully examine the negative effect of ICT use and come up with practical ways to avoid such effects.

To the best of the authors’ knowledge, this is one of the rare papers that inspect the negative effect of ICT use in the HE sector. Furthermore, it is the only paper inspecting such relationship in Gulf region.

This study aims to empirical tests an integrated framework of third-party travel apps usage antecedents (system quality, information quality, service quality and user engagement) and its consequences (satisfaction, apps love and behavioral intentions).

A quantitative research design was used, purposively interviewing 551 users of predetermined third-party travel apps. The data was analyzed using partial least squares-structural equation modeling.

The study found that system quality did not significantly impact user engagement, suggesting that users may prioritize content and service over technical features. Both information quality and service quality were positively linked to user engagement, confirming that users are more engaged when app content is relevant and service is adequate. Additionally, higher user engagement led to greater app satisfaction and love, positively influencing users’ behavioral intentions, such as continued use and recommendations.

The results highlight the importance of content and service quality over system features in driving user engagement with smartphone apps. This suggests developers should focus on delivering high-quality information and excellent service to foster user satisfaction and emotional attachment to the app.

The study suggests a shift in focus from technical features to content relevance and service effectiveness, highlighting that users may prioritize these aspects over technical aspects when engaging with an app. This could challenge conventional assumptions about the importance of system quality in user engagement.

本研究实证测试了一个综合框架, 分析第三方旅行应用使用的前因（系统质量、信息质量、服务质量和用户参与）及其后果（满意度、应用依赖和行为意图）。

采用定量研究设计, 有目的地访谈了551位预定的第三方旅行应用用户。数据通过偏最小二乘结构方程模型（PLS-SEM）进行分析。

研究发现, 系统质量对用户参与没有显著影响, 表明用户可能更关注内容和服务而非技术特性。信息质量和服务质量均与用户参与呈正相关, 证实用户在应用内容相关性高且服务得当时更具参与度。此外, 更高的用户参与度提升了应用满意度和依赖性, 进而正向影响用户的行为意图, 如持续使用和推荐。

结果强调了内容和服务质量在推动智能手机应用用户参与中的重要性, 相较于系统特性, 开发者应关注提供高质量信息和优质服务, 以提升用户满意度和对应用的情感依赖。

本研究表明, 用户在应用使用中可能更关注内容的相关性和服务的有效性, 而非技术特性, 这挑战了系统质量对用户参与重要性的传统假设。

The purpose of this paper is to investigate diversity of marketing practices of firms operating in the same environment, by identifying how management perception and business strategy (BS) fits with the choice of the marketing practice.

A model was developed and tested using survey methodology based on three well-validated research instruments. Data were analyzed using the partial least square approach.

The results showed that different marketing practice were coupled with different frame of reference, as well as different BS. These forces were found to be inter related, and internally coherent, resulting in viable configurational profiles.

The research is unique and exploratory, and was conducted in three Arabic countries with a small sample size. For these reasons, generalizability is somewhat constrained.

The findings would help managers to carefully examine the internal logic of their marketing-related profiling; it can be used as an assessment tool, where performance should be enhanced if the variables are coherent.

To author’s knowledge this is the first study that inspect three variables that had been associated with decision making, but not integrated together in a holistic framework to explain marketing diversity. Additionally it identified four viable types of marketing practices with its corresponding frame of reference and BS. Therefore, the paper reports a work in an area not previously researched.

The purpose of this study is to comprehensively examine the ethical implications surrounding generative artificial intelligence (AI).

Leveraging a novel methodological approach, the study curates a corpus of 364 documents from Scopus spanning 2022 to 2024. Using the term frequency-inverse document frequency (TF-IDF) and structural topic modeling (STM), it quantitatively dissects the thematic essence of the ethical discourse in generative AI across diverse domains, including education, healthcare, businesses and scientific research.

The results reveal a diverse range of ethical concerns across various sectors impacted by generative AI. In academia, the primary focus is on issues of authenticity and intellectual property, highlighting the challenges of AI-generated content in maintaining academic integrity. In the healthcare sector, the emphasis shifts to the ethical implications of AI in medical decision-making and patient privacy, reflecting concerns about the reliability and security of AI-generated medical advice. The study also uncovers significant ethical discussions in educational and financial settings, demonstrating the broad impact of generative AI on societal and professional practices.

This study provides a foundation for crafting targeted ethical guidelines and regulations for generative AI, informed by a systematic analysis using STM. It highlights the need for dynamic governance and continual monitoring of AI’s evolving ethical landscape, offering a model for future research and policymaking in diverse fields.

The study introduces a unique methodological combination of TF-IDF and STM to analyze a large academic corpus, offering new insights into the ethical implications of generative AI across multiple domains.