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The purpose of this research paper is to explore and offer insightful information on the useful use of Google Tag Manager (GTM) in the context of library websites and to bridge the gap between GTM’s technical features and the practical requirements of libraries. It gives libraries the ability to use GTM’s capabilities to increase user engagement, data-driven decision-making and improve online services.

This study reviews existing literature on GTM in the context of websites and libraries. The methodology involves identifying keywords and searching terms related to GTM, digital marketing, user engagement, Web analytics and library websites. Sources and databases were consulted, including library science journals, marketing journals, academic databases, publications on digital marketing and search platforms such as Google Books, Google Scholar, Google Search Engine, JSTOR and library associations like the American Library Association. Initial screening was done based on titles and abstracts, followed by a thorough-text review, categorization and synthesizing of the findings.

GTM provides libraries with a potent tool to improve their online presence, customize user experiences and collect insightful real-time data. Libraries may harness GTM’s potential to better engage people and provide services by properly implementing it and maintaining it over time. It can be a flexible instrument that supports contemporary library services in the digital era. The findings of this study indicate that GTM technology may be used in library services; nevertheless, there are several barriers, such as librarians’ attitudes and technical abilities, that prevent GTM acceptance in library services.

This study covers the implementation of a free GTM tool in library websites that will help the library and information professionals to leverage the GTM in the library’s online presence. Furthermore, this study recommends that libraries and librarians should develop guidelines and policies for the critical adoption of a free GTM tool in the library environment, which will support improving the library’s user engagement and tracking of library website traffic.

This paper constitutes the first academic study to be made of Google Discover as applied to online journalism.

This paper constitutes the first academic study to be made of Google Discover as applied to online journalism. The study involved conducting 61 semi-structured interviews with experts that are representative of a range of different professional profiles within the fields of journalism and search engine positioning (SEO) in Brazil, Spain and Greece. Based on the data collected, the authors created five semantic categories and compared the experts' perceptions in order to detect common response patterns.

This study results confirm the existence of different degrees of convergence and divergence in the opinions expressed in these three countries regarding the main dimensions of Google Discover, including specific strategies using the feed, its impact on web traffic, its impact on both quality and sensationalist content and on the degree of responsibility shown by the digital media in its use. The authors are also able to propose a set of best practices that journalists and digital media in-house web visibility teams should take into account to increase their probability of appearing in Google Discover. To this end, the authors consider strategies in the following areas of application: topics, different aspects of publication, elements of user experience, strategic analysis and diffusion and marketing.

Although research exists on the application of SEO to different areas, there have not, to date, been any studies examining Google Discover.

The peer-review history for this article is available at: https://publons.com/publon/10.1108/OIR-10-2022-0574

The purpose of this study was to examine consumer data acquired by branded prescription drug websites and the ethics of privacy related to the interconnected web of personal information accessed, packaged and resold by tracker technologies.

The research used the DMI Tracker Tool to collect data on the top 17 branded prescription drug websites, with a specific interest in the tracker technologies embedded in those websites. That data was analyzed using Gephi, an open-source data visualization tool, to map the network of trackers embedded in those branded prescription drug websites.

Findings visualize the interconnections between tracker technologies and prescription drug websites that undergird a system of personal data acquisition and programmatic advertising vehicles that serve the interests of prescription drug marketers and Big Tech. Based on the theory of platform ethics, the study demonstrated the presence of a technostructural ecosystem dominated by Big Tech, a system that goes unseen by consumers and serves the interests of advertisers and resellers of consumer data.

The 17 websites used in this study were limited to the top-selling prescription drugs or those with the highest ad expenditures. As such this study is not based on a random sampling of branded prescription drug websites. The popularity of these prescription drugs or the expanse of advertising associated with the drugs makes them appropriate to study the presence of tracking devices that collect data from consumers and serve advertising to them. It is also noted that websites are dynamic spaces, and some trackers within their infrastructures are apt to change over time.

Branded prescription drug information has over the past three decades become part of consumers’ routine search for information regarding what ails them. As drug promotion moved from print to TV and the Web, searching for drug information has become a part of everyday life. The implications of embedded trackers on branded prescription drug websites are the subject of this research.

This study has significant social implications as consumers who are searching for information regarding prescription medications may not want drug companies tracking them in a way that many perceive to be an invasion of privacy. Yet, as the Web is dominated by Big Tech, web developers have little choice but to remain a part of this technostructural ecosystem.

This study sheds light on branded prescription drug websites, exploring the imbalance between the websites under study, Big Tech and consumers who lack awareness of the system that operates backstage.

This study aims to present a comparative study of university library websites (in the USA) from the standpoint of “Google SEO” and “Accessibility”. Furthermore, correlation analysis between these two done.

By opting for a webometric approach, the present study analyzed university library websites in the USA. The Lighthouse add-on for the Google Chrome browser has been used as a data collection tool, by writing and implementing a computer program in Bash language automatically (May 2020). Data analysis tools used were “Libre-Office-Calc”, “SPSS22” and “Excel”.

In all 81 university library websites in the USA, Google search engine optimization (SEO) scores have been observed the amount higher than 60 (Total Score = 100). The accessibility rank obtained lay between 0.56 and 1 (Total Score = 1). A weak correlation relationship between “SEO score” and “accessibility rank” (P-value = 0.02, Spearman Correlation Coefficient = 0.345) was observed. This weak relationship can be explained due to the impact of several components affecting Google’s SEO score, one of them being having a high “accessibility rank”.

Given the increasing automation of library processes, SEO tools can help libraries in achieving their digital marketing goals.

Accurate measurement of the Google SEO score and accessibility rank for the university library websites (in the USA) were obtained by Lighthouse add-on for Google Chrome browser. Moreover, data extraction by the implementation of one program computer without the direct observation of human resources is the innovation of this study.

Digitalization accelerates the need of tourism and hospitality ecosystems to reframe business models in line with a data-driven orientation that can foster value creation and innovation. Since the question of data-driven business models (DDBMs) in hospitality remains underexplored, this paper aims at (1) revealing the key dimensions of the data-driven redefinition of business models in smart hospitality ecosystems and (2) conceptualizing the key drivers underlying the emergence of innovation in these ecosystems.

The empirical research is based on semi-structured interviews collected from a sample of hospitality managers, employed in three different accommodation services, i.e. hotels, bed and breakfast (B&Bs) and guesthouses, to explore data-driven strategies and practices employed on site.

The findings allow to devise a conceptual framework that classifies the enabling dimensions of DDBMs in smart hospitality ecosystems. Here, the centrality of strategy conducive to the development of data-driven innovation is stressed.

The study thus developed a conceptual framework that will serve as a tool to examine the impact of digitalization in other service industries. This study will also be useful for small and medium-sized enterprises (SMEs) managers, who seek to understand the possibilities data-driven management strategies offer in view of stimulating innovation in the managers' companies.

The paper reinterprets value creation practices in business models through the lens of data-driven approaches. In this way, this paper offers a new (conceptual and empirical) perspective to investigate how the hospitality sector at large can use the massive amounts of data available to foster innovation in the sector.

The purpose of this paper is to explore parallels between scientific management and the new scientific management to gain insight into applications of machine learning and artificial intelligence (AI) to human resource management and employee assessment.

Analysis of Taylor’s work and its interpretation by scholars is contrasted with modern analysis of human resource analytics to demonstrate conceptual and methodological commonalities between the old and the new forms of scientific management.

The analysis demonstrates how the epistemology, ethos and cultural trajectory of scientific management has resulted in a mindset that has influenced the implementation and objectives of the new scientific management with respect to human resources analytics.

This paper offers an alternative to the view that machine learning and AI as applied to work and employees are beneficial and points out why important challenges have been overlooked and how they can be addressed.

Commonalties between Taylorism and the new scientific management have been overlooked so that attempts to gain an understanding of how machine learning is likely to influence work, employees and work organizations are incomplete. This paper provides a new perspective that can be used to address challenges associated with applications of machine learning to work design and employee rights.

After reading and discussing the case, the participants would be able to:▪ articulate the challenges associated with retailing of organic products.▪ suggest paid, owned and earned digital marketing tools to Manav Chetna Vikas Kendra (MCVK);▪ suggest a digital marketing budget;▪ discuss essential elements of a good website design; and▪ discuss various website analytics metrics.

This case describes the challenges faced by the founder, Ajay Dayama, and members of MCVK, who believed in the concept of sustainable community living through the production and marketing of organic food products. They believed that they would be able to share their philosophy of sustainable living through their products reaching out to a larger population rather than just being consumed by community members. This paved the way for the creation of a brand by the name SATT offering products under the lifestyle, nutriment and wellness categories. Marketing and sales of SATT products came with a bundle of challenges, and it was not easy to convince customers about the authenticity, quality and pricing of these products. Many organic products sold by competitors were available on e-commerce platforms, while SATT relied on direct marketing. Low customer acceptance for SATT products would weaken the sustainability dream of the community. How MCVK could increase awareness and acceptance of SATT products was a big area of concern for Ajay.

This case is suitable for students enrolled for full credit course on Digital Marketing at postgraduate level. The case can be discussed towards the middle of the course.

Teaching Notes are available for educators only.

CSS 8: Marketing.

The purpose of this study was to analyze importance of artificial intelligence (AI) in education and its emphasis on assessment and adversity quotient (AQ).

The study utilizes a systematic literature review of over 141 journal papers and psychometric tests to evaluate AQ. Thematic analysis of quantitative and qualitative studies explores domains of AI in education.

Results suggest that assessing the AQ of students with the help of AI techniques is necessary. Education is a vital tool to develop and improve natural intelligence, and this survey presents the discourse use of AI techniques and behavioral strategies in the education sector of the recent era. The study proposes a conceptual framework of AQ with the help of assessment style for higher education undergraduates.

Research on AQ evaluation in the Indian context is still emerging, presenting a potential avenue for future research. Investigating the relationship between AQ and academic performance among Indian students is a crucial area of research. This can provide insights into the role of AQ in academic motivation, persistence and success in different academic disciplines and levels of education. AQ evaluation offers valuable insights into how individuals deal with and overcome challenges. The findings of this study have implications for higher education institutions to prepare for future challenges and better equip students with necessary skills for success. The papers reviewed related to AI for education opens research opportunities in the field of psychometrics, educational assessment and the evaluation of AQ.

Upon completion of this case study, students should be able to apply lessons learned in core readings, analysis and discussion to a specific case study dealing with a current, real-world situation, specifically: critically assess Livestock Wealth’s case facts and present and justify their point of view – based on attentive reading, critical analysis and engagement – about the company; use a range of strategic tools such as strengths, weaknesses, opportunities and threats analysis, PESTLE analysis and the Ansoff matrix to thoroughly evaluate Livestock Wealth’s internal and external business environment for developing strategic options for business growth and improvements to marketing strategy; use strategic thinking to develop a range of creative solutions to guide the company’s business growth and improvements to marketing strategy; and assess their own growth and development in terms of personal preparation and organisation, collaboration, critical thinking, decision-making skills, participation and problem-solving.

By February 2022, Ntuthuko Shezi, the founder and chief executive officer of Livestock Wealth, had turned his idea of “crowd farming”, which enables anyone to invest in living farm assets and earn a profit at harvest, into a full-fledged business that was creating wealth for both investors and farmers. Underpinning this case study is Shezi’s vision of an African continent where there is “no ground that is not planted with something of value”, local economies are created in those areas, communities are wealthy, there is abundance, there is money for children to attend school and ultimately where “cows (and agricultural produce in general) are seen as money”. Shezi had grown up in a rural area with grandparents who owned a couple of cows, realizing that the cows were the bedrock of the family’s finances. Describing his business, he says, “Cattle are like a walking bank, and we see ourselves as the bank of the future, where every person who owns a cow can access financial services through Livestock Wealth, just like it has always been in Africa.” This case study describes the two key decisions that Shezi needed to make – what direction to take in terms of business growth and how to improve his marketing strategy (with a limited budget) to attract sufficient investment into Livestock Wealth to make his dreams a reality.

This case study is suitable for use for a post-graduate diploma in business, master of business administration or master’s in management.

Teaching notes are available for educators only.

CSS 11: Strategy.

The study seeks to investigate the quality of metadata associated with the open government data (OGD) portals of the six Gulf Cooperation Council (GCC) constituents – Bahrain (BH), Kuwait (KW), Oman (OM), Qatar (QA), Kingdom of Saudi Arabia (KSA) and United Arab Emirates (UAE).

A quantitative framework, supported by extant literature, is adopted to assess the metadata quality of the six OGD portals of the GCC constituents.

Among the six GCC countries, QA has the most advanced OGD metadata quality followed by KSA, UAE, OM, BH and KW. Furthermore, the OGD metadata quality (MQ) of UAE and OM stand at the same pedestal whereas BH and KW OGD portals are lagging behind.

While the OGD quality has been investigated in extant literature, the MQ of the OGD portals for the GCC countries has not been investigated so far – the present study seeks to plug this gap.