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This paper aims to understand why higher education institutions (HEIs) struggle to become sustainable institutions themselves despite providing relevant teaching and research on sustainability.

Using 17 open-ended, semistructured interviews to determine common themes (codes) regarding sustainability, the authors mapped those codes to the adaptive cycle from social innovation theory.

Using the adaptive cycle offered a framework for understanding sustainability at HEIs as a cyclical process where innovation occurs in ebbs and flows. Differing perceptions of power by students and faculty slow down the process, and cross-collaboration is the key to further sustainability.

Insights from the adaptive cycle can contribute to HEI assessment of its sustainability initiatives by identifying the stage of the adaptive cycle relevant to the institution’s present sustainability work.

Applying the adaptive cycle is an original way of understanding the process of anchoring sustainability at HEIs providing concrete insights into advancing this process.

The purpose of this paper is to examine and verify the competitive intelligence tools Alexa and SimilarWeb, which are broadly used for website traffic data estimation. Tested tools belong to the state of the art in this area.

The authors use quantitative approach. Research was conducted on a sample of Czech websites for which there are accurate traffic data values, against which the other data sets (less accurate) provided by Alexa and SimilarWeb will be compared.

The results show that neither tool can accurately determine the ranking of websites on the internet. However, it is possible to approximately determine the significance of a particular website. These results are useful for another research studies which use data from Alexa or SimilarWeb. Moreover, the results show that it is still not possible to accurately estimate website traffic of any website in the world.

The limitation of the research lies in the fact that it was conducted solely in the Czech market.

Significant amount of research studies use data sets provided by Alexa and SimilarWeb. However, none of these research studies focus on the quality of the website traffic data acquired by Alexa or SimilarWeb, nor do any of them refer to other studies that would deal with this issue. Furthermore, authors describe approaches to measuring website traffic and based on the analysis, the possible usability of these methods is discussed.

After having drawn lessons from the recent COVID-19 pandemic for retailers in the previous chapters, in this last chapter we provide an outline on retailing over a longer time horizon. We start with projections of how the phygitalization trend in retailing will further evolve and what role data plays as a basis for a competitive advantage – on the condition of smart and ethical use. Besides looking at customers (downstream), we address the upstream in the value delivery network, focusing on how to succeed in balancing between efficiency and sustainability in the retail supply chain. Retailers face huge challenges. This chapter contributes to setting the scene for retailers to thrive in the brand-new post-pandemic aftermath.

Accountability is ubiquitous in social systems, and its necessity is magnified in formal organizations, whose purpose has been argued to predict and control behavior. The very notion of organizing necessitates answering to others, and this feature implies an interface of work and social enterprises, the individuals comprising them, and subunits from dyads to divisions. Because the nature of workplace accountability is multi-level as well as interactive, single-level conceptualizations of the phenomenon are incomplete and inherently misleading. In response, this chapter sets forth a meso-level conceptualization of accountability, which develops a more comprehensive understanding of this pervasive and imperative phenomenon. The meso model presented integrates contemporary theory and research, and extends our perspectives beyond individual, group, unit, or organizational perspectives toward a unitary whole. Following this is a description of challenges and opportunities facing scholars conducting accountability research (e.g., data collection and analysis and non-traditional conceptualizations of workplace phenomenon). Theoretical and practical implications are discussed, as are directions for future research.

This paper aims to categorize users of voice assistants and analyze decision-making conflicts to predict intention to adopt voice commerce (v-commerce).

This exploratory study used expert survey-based data collection founded on data saturation.

This study identifies three forms of voice systems based on senses aroused (screen first, voice only and voice first) and four profiles of voice users (passive resistant, hedonistic adopter, utilitarian adopter and active resistant), each with a different appraisal of the benefits and costs of v-commerce adoption and the experiences (positive or negative) felt during the shopping experience. This study proposes a conceptual model to predict intention to adopt v-commerce depending on voice-system and -user characteristics.

Learning from this study can help improve the marketing strategies and actions put in place by voice-assistant brands and advertisers by providing insights for adapting product recommendation algorithms to meet the needs of the identified profiles.

This paper provides an answer to the limits of classical approaches based on “one-size-fits-all” strategy by showing how voice-assistant users have different profiles that span a gradient of advance in technology adoption.

SEPTEMBER sees most librarians again at the daily round, although some, including those of the universities and schools, are still scattered on mountains, golf‐courses, beaches and oceans for a short while yet. To older men there is a curious feeling aroused by the knowledge that there is no Library Association Conference this month. They may, in a measure, find compensation in attending the annual meeting of the London and Home Counties Branch of the Association, which will be at St. Albans, or that of A.S.L.I.B., which has Gonville and Caius College, Cambridge, as its venue. Both, by some lack of care which might have been avoided, occur on the same week‐end, September 24–26. Quite clearly the special problems of librarianship technique, such as processes, book‐selection and purchase, classification, catalogues, fines, publicity, salaries, hours, and so on almost infinitely, can no longer be discussed profitably at the Annual Meeting of the Library Association; smaller gatherings, such as these, are their fitting place. We make a suggestion to the L.A. Council, for what it is worth and without pretence to being original. It is that it should indicate to all its branches and sections the main questions to which they should devote attention, and that in due course they should produce their conclusions on them. These, being pooled, would form the basis of the L.A. Annual Meeting. This would make a purposeful programme for all, and the results of the Conference might then be considered definite and practical.

In confining the COVID-19 pandemic, social distancing was key, with traditional, bricks-and-mortar retailing being shut-down for weeks, and have nearly universally moved into online channels. At the same time, online players have started to operate physical stores. This chapter provides an analysis of how COVID-19 has accelerated the digitalization of retailing, focusing on the shift towards the online and mobile shopping channel. On the basis of success stories and failures in retail business practice, lessons are distilled for developing effective future phygital scenarios.