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Breast cancer is a global public health dilemma and the most prevalent cancer in the world. Effective treatment plans improve patient survival rates and well-being. The five-year survival rate is often used to develop treatment selection and survival prediction models. However, unlike other types of cancer, breast cancer patients can have long survival rates. Therefore, the authors propose a novel two-level framework to provide clinical decision support for treatment selection contingent on survival prediction.

The first level classifies patients into different survival periods using machine learning algorithms. The second level has two models with different survival rates (five-year and ten-year). Thus, based on the classification results of the first level, the authors employed Bayesian networks (BNs) to infer the effect of treatment on survival in the second level.

The authors validated the proposed approach with electronic health record data from the TriNetX Research Network. For the first level, the authors obtained 85% accuracy in survival classification. For the second level, the authors found that the topology of BNs using Causal Minimum Message Length had the highest accuracy and area under the ROC curve for both models. Notably, treatment selection substantially impacted survival rates, implying the two-level approach better aided clinical decision support on treatment selection.

The authors have developed a reference tool for medical practitioners that supports treatment decisions and patient education to identify patient treatment preferences and to enhance patient healthcare.

The objective of the study is to identify both reasons for ignoring and for paying attention to the country of origin (COO) by consumers when choosing brands of durable goods.

In this paper a qualitative approach was applied, i.e. 25 in-depth semistructured interviews with Polish consumers of durable goods purposively selected out of those who had previously participated in a quantitative survey conducted by the authors.

Among the reasons for paying attention to the COO when choosing brands of durable goods, cognitive (rational), affective (emotional) and normative factors have been identified, while among the reasons for ignoring the COO by consumers, the authors identified only cognitive (rational) and affective (emotional) factors.

The conclusions can be applied by brand managers, e.g. when making decisions whether and why to communicate COO dimensions.

This paper contributes to the international marketing literature as it develops a deeper insight into consumer behavior with reference to the consumers’ reasons for paying attention to and ignoring the COO, with very little published on the latter in particular. Furthermore, it is one of still relatively few qualitative studies conducted so far on COO taking a perspective of a consumer, especially the one from an emerging market from the European Union (EU).

The purpose of this study is to investigate the relationship between organizational learning (OL) and business sustainability (BS) and to carry out its empirical examination.

Extensive literature research was carried out. Then, an empirical study was conducted in 694 Polish and Danish companies. Two phenomena related to OL were adopted: OL processes and organizational learning capability (OLC). BS was examined through the concept of sustainable performance (SP). Research models were tested using structural equation modeling.

The empirical studies have shown a positive, statistically significant relationship between OL and BS. The research supports the view that the intensification of the OL processes is substantial for BS, whereas the OLC concept is less relevant to the development of BS. The effect of OL on total SP was stronger than on any SP dimension. OL supports the synergies of the results obtained by the organization for the benefit of BS.

The model verification is based on the samples from two countries, and, therefore, the hypothesis requires further verification in different business contexts. In addition, there are different factors influencing BS, which have not been included in the research and should be analyzed in the future.

An in-depth, critical literature analysis shows that the theoretical foundation of the role of OL in shaping BS is fragmented and poorly empirically verified. The value of this paper is the presentation of large-scale empirical studies comparing the relationship between BS and two phenomena: OLC and the OL processes. The results obtained in the course of the research open up new research directions with respect to both the relationship between OL and BS as well as between OL and organizational performance.

Recently, deep learning (DL) has been widely applied in various aspects of human endeavors. However, studies have shown that DL models may also be a primary cause of data leakage, which raises new data privacy concerns. Membership inference attacks (MIAs) are prominent threats to user privacy from DL model training data, as attackers investigate whether specific data samples exist in the training data of a target model. Therefore, the aim of this study is to develop a method for defending against MIAs and protecting data privacy.

One possible solution is to propose an MIA defense method that involves adjusting the model’s output by mapping the output to a distribution with equal probability density. This approach effectively preserves the accuracy of classification predictions while simultaneously preventing attackers from identifying the training data.

Experiments demonstrate that the proposed defense method is effective in reducing the classification accuracy of MIAs to below 50%. Because MIAs are viewed as a binary classification model, the proposed method effectively prevents privacy leakage and improves data privacy protection.

The method is only designed to defend against MIA in black-box classification models.

The proposed MIA defense method is effective and has a low cost. Therefore, the method enables us to protect data privacy without incurring significant additional expenses.

Cloud computing originated in central data centers that are connected to the backbone of the Internet. The network transport to and from a distant data center incurs long latencies that hinder modern low-latency applications. In order to flexibly support the computing demands of users, cloud computing is evolving toward a continuum of cloud computing resources that are distributed between the end users and a distant data center. The purpose of this review paper is to concisely summarize the state-of-the-art in the evolving cloud computing field and to outline research imperatives.

The authors identify two main dimensions (or axes) of development of cloud computing: the trend toward flexibility of scaling computing resources, which the authors denote as Flex-Cloud, and the trend toward ubiquitous cloud computing, which the authors denote as Ubi-Cloud. Along these two axes of Flex-Cloud and Ubi-Cloud, the authors review the existing research and development and identify pressing open problems.

The authors find that extensive research and development efforts have addressed some Ubi-Cloud and Flex-Cloud challenges resulting in exciting advances to date. However, a wide array of research challenges remains open, thus providing a fertile field for future research and development.

This review paper is the first to define the concept of the Ubi-Flex-Cloud as the two-dimensional research and design space for cloud computing research and development. The Ubi-Flex-Cloud concept can serve as a foundation and reference framework for planning and positioning future cloud computing research and development efforts.

This paper aims to examine the role of a large competitor’s entry and level of innovativeness in consumer adoption of new products.

This paper is based on a comparison between market uncertainty and technological uncertainty. This paper henceforth defines and analyzes the following key factors affecting the purchase intention of small- and medium-sized enterprise (SME) new products: type of new products and entry of large competitors. The study further verifies mediator variables that exert impacts: uncertainties regarding both technology and market.

The findings are as follows: purchase intention of SME new products does vary according primarily to the product types and entry of large competitors. More specifically, the entry of large competitors reduces uncertainties about really new products, thereby positively affecting SME new products.

There was no causal relationship found, however, on incrementally new products. Further findings clarify that the mediator variables affecting reciprocal interactions between purchase intention of SME new products and the entry of large competitors hold valid only for market uncertainties and not for technological uncertainties.

Keberkesanan penyampaian sesuatu maklumat memerlukan individu, alat mahupun saluran yang unggul dan bersesuaian. Usaha ini haruslah dirancang dan dipertimbangkan dengan teliti oleh pihak tertentu agar setiap apa yang ingin disampaikan dan dilaksanakan itu dapat diberigakan dengan mudah dan berkesan. Dari itu, penggunaan bahasa retorik dilihat sebagai batu loncatan yang memberikan keyakinan dan tahap keberkesanan yang tinggi bagi sesebuah wacana yang disampaikan tersebut. Kewibawaan retorik sebagai seni yang mempengaruhi bukan sahaja berperanan untuk memperkukuhkan kekuasaan mahupun mempengaruhi fikiran dan emosi orang lain namun sebaliknya mampu menstimulasikan keseimbangan hubungan sosial yang terbentuk melalui sistem pemerintahan sesebuah negara. Melalui penyelidikan ini, setiap ciri khas retorik dapat diketengahkan dengan menghuraikan peranan dan fungsi-fungsi yang dimainkan oleh jenis-jenis retorik dalam penulisan sesebuah wacana. Hal ini khusus bagi mengilustrasikan idea, gagasan mahupun suatu fakta terhadap sesuatu pendekatan dengan cara yang kreatif dan terbaik. Di samping itu, keutamaan bagi penerapan bahasa retorik dalam perutusan kerajaan seharusnya dapat diperkasakan sewajarnya dengan menjadikannya sebagai anjakan paradigma ke arah perpaduan dan nilai kesaksamaan dalam masyarakat. Justeru, kajian ini memanfaatkan Teori Retorik Moden oleh Enos dan Brown (1993) sebagai landasan utama dalam menganalisis sejumlah 20 perutusan rasmi berkaitan jangkitan covid-19 di Negara Brunei Darussalam. Berdasarkan pemerhatian dan penganalisisan yang dijalankan, hanya empat jenis retorik yang diaplikasikan dalam wacana tersebut. Kesimpulan statistik merangkumi 34% teknik pendedahan, 30% teknik penerangan, 33% teknik pemujukan dan hanya 3% bagi teknik penghujahan. Dapatan penyelidikan ini membuktikan bahawa penggunaan bahasa retorik dalam perutusan rasmi kerajaan adalah amat penting dalam memperkukuhkan sistem pemerintahan negara serta mampu melestarikan cara hidup yang relevan dan berkualiti.

The effectiveness of delivering information requiresindividuals, tools or channels that are superior and appropriate. This effort must be planned and considered carefully so that everything that is to be conveyed and implemented can be conveyed easily and effectively. Therefore, the use of rhetorical language is regarded as a stepping stone that provides confidence and a higher level of effectiveness. `Rhetoric as an influential art not only plays a role in strengthening power or influencing the thoughts and emotions of others but also stimulate sthe balance of social relations. Through this research, each rhetorical feature is highlighted to discuss its role and functions in the discourse. Using Enos and Brown’s Modern Rhetorical Theory (1993), a total of 20 official conferences on the latest developments of the spread of covid-19 infection were discussed. Findings have shown that there were four main types of rhetoric, i.e. Statistical conclusions which include 34% of expository techniques, 30% of descriptive, 33% of persuasion and only 3% for argumentation techniques. This also implies that rhetoric language is very important in ensuring the dissemination of knowledge among the institution and people is effective and and transparent.

This study aims to draw on cue utilization and irradiation theories to: determine the extent to which country-of-origin image and its sub-dimensions exert an aggregate and relative influence on consumer brand evaluations; and identify the contextual and methodological factors that account for between-study variance in the focal relationship.

A random-effects model was used to examine 166 empirical articles encompassing 499,563 observations, and 282 effect sizes from 1984 to 2020 using Comprehensive Meta-Analysis software.

Results show that country-of-origin image has a positive, moderate effect on consumer brand evaluations. Moreover, findings reveal that each dimension of country-of-origin image – general country image, general product country image, specific product country image and partitioned country image – significantly influences consumer brand evaluation, but the effect of general product country image is the largest. What’s more, the aggregate impacts of country-of-origin image on consumer brand evaluation – brand commitment, brand-specific associations and general brand impressions – show that the effect on brand commitment is the largest. Finally, findings show that contextual factors (brand source, product sector, culture [individualism vs collectivism], brand origin continents and respondents’ continent) and methodological factors (cues, sampling unit, publication year and sample size) significantly account for between-study variance.

This study provides the first meta-analytic review of the relationship between country-of-origin image and consumer brand evaluation to help clarify mixed findings and balance out the literature, which has only seen quantitative reviews on product evaluation and purchase decisions.

Virtual assistants are increasingly used for persuasive purposes, employing the different modalities of voice and text (or a combination of the two). In this study, the authors compare the persuasiveness of voice-and text-based virtual assistants. The authors argue for perceived human-likeness and cognitive load as underlying mechanisms that can explain why voice- and text-based assistants differ in their persuasive potential by suppressing the activation of consumers' persuasion knowledge.

A pre-registered online-experiment (n = 450) implemented a text-based and two voice-based (with and without interaction history displayed in text) virtual assistants.

Findings show that, contrary to expectations, a text-based assistant is perceived as more human-like compared to a voice-based assistant (regardless of whether the interaction history is displayed), which in turn positively influences brand attitudes and purchase intention. The authors also find that voice as a communication modality can increase persuasion knowledge by being cognitively more demanding in comparison to text.

Simply using voice as a presumably human cue might not suffice to give virtual assistants a human-like appeal. For the development of virtual assistants, it might be beneficial to actively engage consumers to increase awareness of persuasion.

The current study adds to the emergent research stream considering virtual assistants in explicitly exploring modality differences between voice and text (and a combination of the two) and provides insights into the effects of persuasion coming from virtual assistants.

This paper fills a gap in the literature on branding, as local and glocal brands have not received as much attention as global brands from academics and practitioners and the scarce amount of relevant research done on glocal branding strategies is mainly theoretical or conceptual.

This paper therefore defines a model relating brand beliefs (brand quality, brand image, brand familiarity and brand as a social signalling value), brand attitudes and brand purchase intentions. The model is then tested with a sample of different categories/types of consumer brands (local, global and glocal). The influence of the type of brand on these relationships is then analysed.

The findings suggest that brand quality is the most important driver of brand attitude for any type of brand, and that the relationship between brand quality and brand attitude, as well as between brand attitude and brand purchase intention, is weaker for a glocal brand than for a local or global brand.

This paper provides new empirical evidence of the influence of brand type on brand associations and attitude configurations and the effects these attitudes have on buying intentions. This work is also relevant for the managers’ efforts to develop more effective global, glocal and local marketing strategies for brand positioning.

El presente trabajo persigue contribuir a la literatura sobre marcas al tratar sobre las marcas locales y las marcas glocales, puesto que éstas han estado menos estudiadas que las marcas globales.

Definimos un modelo que relaciona las creencias de marca (la calidad de marca, la imagen de marca, la familiaridad de marca y la marca como señal de valor social), las actitudes de marca y las intenciones de compra de la marca, probamos el modelo con una muestra de diferentes categorías de marcas de consumo (local, global y glocal) y analizamos la influencia del tipo de marca en estas relaciones.

Nuestros resultados sugieren que la calidad es el impulsor más importante de la actitud hacia la marca, para cualquier tipo de marca, y que la relación entre la calidad y la actitud hacia la marca, así como entre la actitud hacia la marca y la intención de compra es más débil para una marca glocal que para una local o global.

La investigación proporciona nuevas evidencias empíricas en relación a la influencia del tipo de marca (local, global o glocal) en las asociaciones de marca y en la configuración de las actitudes hacia dichas marcas y en su intención de compra. Nuestro trabajo es de interés también para los directivos de marketing ya que les puede permitir desarrollar mejores estrategias de posicionamiento para marcas locales, globales o glocales.

Marca global, Marca local, Marca glocal, Teoría de las señales, Actitud hacia la marca, Intención de compra

Trabajo de investigación