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Genre is a valuable access point for popular music collections; however, the blurring of genre boundaries combined with changing listening habits and new forms of classification have brought genre’s importance into question. The playlist is now a common means of classification on music streaming platforms. Recent commentary suggests that context is now a preferred access point. This exploratory study offers an examination of genres’ role in playlists.

A mixed-methods study investigates, using Spotify, whether genre retains relevance amidst the rise in popularity of playlist-based music classification. Sample size is noted as a limitation of the study.

Qualitative coding of user and editorial playlist names revealed less than 20% of codes applied were genre-based. However, when non-genre themes were differentiated, genre themes ranked as one of the most prevalent. Context-based themes were most common, though genre was readily combined with other descriptive themes, highlighting its utility. Quantitative analysis of genre tags showed playlists with context-based themes demonstrated higher genre homogeneity than those using generic themes, indicating playlists were named on a genre-by-proxy basis.

The study suggests that genre continues to play an integral role in a field where an eclectic variety of descriptive themes has emerged, although its role may have changed. Context-based themes are central to the way users organise music, though such terms can often serve as containers for music collections sharing distinct generic and musicological similarities.

This paper aims to use the concept of machine learning to enable people and machines to interact more certainly to extend and expand human expertise and cognition.

Intelligent code reuse recommendations based on code big data analysis, mining and learning can effectively improve the efficiency and quality of software reuse, including common code units in a specific field and common code units that are not related to the field.

Focusing on the topic of context-based intelligent code reuse recommendation, this paper expounds the research work in two aspects mainly in practical applications of smart decision support and cognitive adaptive systems: code reuse recommendation based on template mining and code reuse recommendation based on deep learning.

On this basis, the future development direction of intelligent code reuse recommendation based on context has prospected.

This study aims to explore the nature of women's career experiences over the life course by examining career patterns, career locus, career contexts, and career beliefs.

A qualitative, inductive approach to data gathering and analysis was employed, using life story surveys, semi‐structured interviewing, thematic analysis, grounded theory, code development and descriptive statistics.

The data revealed distinct patterns of how women's careers develop over time, particularly with regard to the impact of career contexts (societal, organizational, and relational) and women's own changing images of their careers and career success. A three‐phase, age‐linked model of women's career development is proposed: the idealistic achievement phase; the pragmatic endurance phase; and the reinventive contribution phase.

Future studies should test replicability of these findings to determine whether this three‐phase model is embedded in the particular socio‐historical context of the times in which the particular women in this sample have lived or is universally applicable across different eras and changing realities.

Better organizational efforts are needed to ensure that women receive ongoing coaching and mentoring, work for managers who support their development, have access to organizational resources and opportunities to develop their skills, are given challenging assignments, are acknowledged for their unique talents, and are recognized for aptitude learned through life experiences and “non‐traditional” work histories.

This is a rare, women‐only study that looks at the career dynamics of women over the life course.

Research has so far not approached the contents of corporate code of ethics from a strategic classification point of view. Therefore, the objective of this paper is to introduce and describe a framework of classification and empirical illustration to provide insights into the strategic approaches of corporate code of ethics content within and across contextual business environments.

The paper summarizes the content analysis of code prescription and the intensity of codification in the contents of 78 corporate codes of ethics in Australia.

The paper finds that, generally, the studied corporate codes of ethics in Australia are of standardized and replicated strategic approaches. In particular, customized and individualized strategic approaches are far from penetrating the ethos of corporate codes of ethics content.

The research is limited to Australian codes of ethics. Suggestions for further research are provided in terms of the search for best practice of customized and individualized corporate codes of ethics content across countries.

The framework contributes to an identification of four strategic approaches of corporate codes of ethics content, namely standardized, replicated, individualized and customized.

The principal contribution of this paper is a generic framework to identify strategic approaches of corporate codes of ethics content. The framework is derived from two generic dimensions: the context of application and the application of content. The timing of application is also a crucial generic dimension to the success or failure of codes of ethics content. Empirical illustrations based upon corporate codes of ethics in Australia's top companies underpin the topic explored.

This paper aims to report on a project aimed at moving Foster's nonlinear model of information seeking behaviour forwards from an empirically based model focused on one setting and towards one that is robustly transferable and enables testing of the model in other information‐seeking situations.

The method utilised recoding of the original dataset, comparison of code decisions, and testing of the code book on a second dataset.

The results of the coding confirm the structure and interactions in version one of the model. The dynamic and nonlinear nature of information seeking is confirmed, as are the core processes and contextual dimensions of the original model with some extension and refinement of coding.

Changes to the model include new scales of extent and intensity, refinement of code descriptions, and extension of some elements to include multidisciplinary theories. Collectively these changes enable testing of the model in other information situations and opportunities for further research.

The results incorporate a number of enhancements that have been developed since the original Foster model was created; cognitive dimensions relating to personality and learning are enhanced and the codes essential to the revised Foster model are described along with a code book. The paper concludes by highlighting areas for further research.

Despite quick response (QR) codes’ prominence, little is known about their embedding in pull-based communications. This study aims to measure QR code effects in print advertising along five different stages of consumer decision making, using advertisement appeals with moderating effects of product category involvement.

Data were derived from a German market research initiative with 326,212 consumer evaluations for 792 real print advertisements from 26 product categories. Multinomial logit models were used to investigate the effects of QR code presence on consumer reactions.

QR codes steer purchase intention in a low-involvement product category if used alongside an emotional appeal. Advertisements for high-involvement products benefit if QR codes are combined with an overall informational appeal. QR codes do not enhance the persuasive effects of advertisements’ informational appeals in a low-involvement product category.

The effects of QR codes on consumers’ responses cannot be analysed in isolation but depend on advertisement context. They interact with advertisements’ informational and emotional appeals and product category involvement.

Marketers should not use QR codes indiscriminately but should carefully consider advertisement context. QR codes should be used alongside an emotional appeal if the marketer’s objective is to induce purchase intention in low-involvement settings. Advertisements for high-involvement products need to combine QR codes with an informational appeal.

This study highlights the interplay of effects in print advertisements, which are typically considered push-based when they are combined with QR codes as pull-based communications in the digital marketing area.

This research aims to propose an attack that de-obfuscates codes by exploiting the properties of context-free grammars since it is important to understand the strength of obfuscation provided by context-free grammar-based obfuscators. In addition, the possibility of automatically generated transformations is explored.

As part of our empirical investigation, a development environment for obfuscating transformations is built. The tool is used to simulate a context-free obfuscator and to devise ways of reversing such transformations. Furthermore, a theoretical investigation of subset grammars and subset languages is carried out.

It is concluded that context-free grammar-based obfuscators provide limited levels of protection. Nevertheless, their application is appropriate when combined with other obfuscating techniques.

The algorithms behave as expected on a limited number of test samples. Further work is required to increase their practicality and to establish their average reliability.

This research shows how a frequency analysis attack can threaten the security of code scrambled by context-free grammar-based obfuscators.

This paper aims to systematically explore the experiences of restaurant patrons with quick response (QR) code menus during the pandemic to extract insights pertaining to the acceptance of technology adoption in service settings for the post-COVID era.

COVID-19 has enormously impacted consumer perceptions toward technology adoption in restaurants. Identifying these impacts requires qualitative inquiries because qualitative techniques, unlike quantitative methods, enable researchers to seek insights into the phenomenon without a predetermined stance. This study applied a qualitative research method. The qualitative data was obtained through in-depth interviews and a focus group. Thematic analysis was conducted.

This study identified perceived attributes of QR code technology by patrons: positive attributes such as easy to learn, quick and contactless; and negative attributes such as effortful and reliance on a smartphone. Also, the results distinguished perceived advantages of utilization of QR codes as restaurants’ menu: advantages such as hygienic, environmentally friendly due to no printing and contactless; and disadvantages such as poor menu design and lack of interaction.

This research presents patrons’ views on QR code menu utilization at restaurants under the pandemic conditions. Contradictory responses on the same features of technology reveal a lack of menu design in the utilization of QR codes. Restaurant practitioners can extract insights about how to better use technology like QR codes, cost-effective and environmentally friendly, in their operations in the postpandemic era.

This study included both deductive and inductive approaches. An inductive approach that progressed from theory to data was applied while forming interview questions. A deductive approach was used to inform theory with the findings of the data. The value of research derives from differentiating technology attributes (QR codes) and utilization domain (restaurant menu) in the realm of acceptance of technology in the consumer context.

This study aims to reveal Türkiye's place on the global cultural map through eight dimensions compared to other countries with the help of these two subresearch questions: “Where is Türkiye positioned on Meyer's map, and how is the positioning when country groups are taken into account?”.

This issue is considered necessary regarding the country’s business culture, which is an emerging market. For this, 17 senior executives engaged in international trade activities were selected as cases. The eight dimensions of Erin Meyer’s culture map were analyzed by considering the interview data obtained from the executives.

As a result of the analysis, it was determined that Türkiye is in a position that can be called an east–west synthesis in terms of culture, even though it is geographically evaluated within MENA and that it is located close to the middle of the continuum axis on the basis of almost all dimensions. However, the three dimensions out of eight – communication, deciding and trusting – are relatively far from the middle. The authors believe that this situation is closely related to Türkiye’s unique historical characteristics.

The placement of the nations on a cultural map may be useful for practitioners. By looking at the relative position on this map and taking it into consideration while building connections and negotiating, for instance, businesses and policymakers who wish to enhance their ties with Türkiye can be aware of the distinctions between their own countries and Türkiye. The inhibiting nature of qualitative research prevents generalization; however, much bigger data set may be used for a comparable approach. Further research can be done to solve this issue because the cases under examination do not permit comparisons specific to the American continent.

The theoretical contribution of this study lies in its focused revelation of Turkey’s cultural positioning within the context of emerging markets. Positioning the countries on the cultural map can provide some convenience to the practitioners. Türkiye is a crucial clustering center when global production is considered. This opens the country to contact other cultures and enables intercultural transfer and learning.

The purpose of this study is to understand the concept of “Low Code No Code” applications and study its scope of application for web designing, rapid application development (RAD) and supply chain digitization (SCD).

A qualitative exploratory study was conducted for this exploratory study. A semi-structured open-ended questionnaire was prepared by the authors. Based on the questionnaire in-depth interviews were conducted with subject matter experts having more than 10 years of experience in the domain of supply chain management and digitization. The study questionnaire focused on the current reach and future potential of “Low Code No Code” platforms. A total of 20 responses were collected from experts as post this point thematic saturation was reached. A non-probabilistic convenience sampling was applied to identify the experts The data was content analyzed for themes.

The major findings that emerged from the study was that “Low Code No Code” platforms applications could be used across end-to-end SCD. The study also revealed that RAD through “Low Code No Code” platforms could reduce organizations dependency on coders. In the case of procurement, “Low Code No Code” applications could improve vendor and supplier management by streamlining processes. The cost-effective and easy-to-maintain “Low Code No Code” application development could help Medium and Small-Scale Enterprises level the playing field against large organizations. The lack of adoption strategy and low perceived usefulness was identified as major barriers to the adoption of “Low Code No Code” applications by organizations.

“Low Code No Code” application-based automation would enable better utilization of organizational supply chain (SC) resources and capabilities. This would improve the sustainability performance of the firm. Furthermore, it would also enable the provision of SC services at a lower cost level, thus benefiting customers.

“Low Code No Code” application-based automation would help organizations to reduce the dependency on coders and Information Technology developers SCD. This could also allow SC managers to make more apps to be built in less time without the need of complex coding. This could potentially reduce app development costs toward digitizing SCs.

To the best of the authors’ knowledge, this was one of the very first studies regarding how “Low Code No Code” applications could revolutionize the SC using these app development capabilities. This study also provided an extensive study of Diffusion of Innovations and Technological Organizational Theory frameworks for in the context of “Low Code No Code” technology adoption.