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It has been difficult to find actual events for this diary. In the period under review there has been controversy in good measure—over the future of the prices and incomes policy, over advertising, over resale price maintenance in the confectionery industry, over decimal currency—but while marketers have debated, marketing itself has tended to be over‐shadowed by major events elsewhere. The dominant outside influences were the continuation of the ‘freeze’ in prices and incomes and the Government's decision to apply for full membership of the European Economic Community. Interest was, however, provided by the outbreak of a price war in petrol associated with the introduction of a new system of ‘star’ grading, by the Co‐ops embarking upon a period of what promises to be painful re‐organisation, by the follow‐through from the R.T.P. Court's detergent prices decision, and the continuation of the tobacco marketing war. The car industry began to attract attention following the Leyland‐Rover and Rootes‐Chrysler mergers in terms which suggest that major distribution changes are to be expected.

This paper aims to theorize and investigate the use of effective color features in artificial intelligence (AI) influencers, an emerging marketing trend in the social media context.

By analyzing 6,132 pictures posted by ten AI influencers on Instagram, this paper examines the effect of warm colors in AI influencers’ social media posts on consumer responses, and how other color features may moderate the effect of warm color. In addition, two experimental studies reveal the underlying process driving the effect of warm color.

Warmer color generated more favorable consumer responses, with brightness significantly moderating the relationship between warm color and favorable consumer responses. Moreover, the results of the experiments establish that perceived warmth and emotional trust mediate the causal effect of warm colors on consumer responses.

There is still little understanding about consumer perceptions of AI influencers and their acceptance of AI influencers’ product recommendations. As such, this research offers theoretical understanding of the color features influencing the effectiveness of recommendations by AI influencers.

Brands have started deploying AI influencers as their brand ambassadors to make product recommendations, representing a new wave of advertising on social media. The findings will thus benefit marketers in developing effective product recommendations using AI influencers.

The present research provides a novel understanding of how visual features, such as color can influence the effectiveness of AI influencers.

It has often been said that a great part of the strength of Aslib lies in the fact that it brings together those whose experience has been gained in many widely differing fields but who have a common interest in the means by which information may be collected and disseminated to the greatest advantage. Lists of its members have, therefore, a more than ordinary value since they present, in miniature, a cross‐section of institutions and individuals who share this special interest.

Aarhus Kommunes Biblioteker (Teknisk Bibliotek), Ingerslevs Plads 7, Aarhus, Denmark. Representative: V. NEDERGAARD PEDERSEN (Librarian).

Past research on internet privacy has examined various aspects of privacy regulation and consumer privacy concerns. The purpose of this paper is to develop a conceptual model that links anteceding environmental factors with the resulting consumer responses using the power‐responsibility equilibrium perspective.

An online survey of 182 net shoppers was conducted whereby respondents were asked to recall a recent web site registration that required them to provide personal information online.

The results indicate that robust perceived business policies and governmental regulation reduce consumer privacy concern. More interestingly, the data show that a perceived lack of business policy or governmental regulation will result in consumers attempting to regain power balance through a variety of responses. As predicted, increased concern resulted in higher power‐enhancing responses such as the fabrication of personal information, use of privacy‐enhancing technologies and refusal to purchase.

To reduce consumer privacy concern and subsequent negative responses, organizations need to pay close attention to their privacy policies through greater self‐regulation, third‐party accreditation and to ensure the presence of compliance mechanisms that support and check the marketing and collection activities of their organization and related parties. Regulators can reduce consumer concern by further defining and improving the legal framework for protecting consumer privacy on the internet. In addition, governments should consider overseeing third‐party privacy accreditation as well as firm and industry self‐regulation. Finally, to improve consumer perceptions of privacy protection, enhanced regulatory privacy protection should be communicated to the public along with a response outlet for privacy concerns so that consumers know that they should report privacy‐related complaints to a regulatory agency.

The paper examines how business policies and regulation influence consumer online privacy concern, and the resulting consequences on internet user behavior.

This chapter reviews empirical studies into the relationship between management control, strategy and sustainability.

The review explores the theoretical frameworks and models used in previous empirical research as well as the research questions and methods applied to empirically explore this emerging research area.

Even if a growing body of empirical research has emerged over the last decade, our knowledge of how companies design or use management control to support sustainability strategy appears to be limited, providing considerable scope for further research.

This review structures the state of our empirical knowledge in the area of management control, strategy and sustainability and makes suggestions for future research paths.

This study examines the impact of expanded geographical disclosures on nonprofessional investor judgments. Public country-by-country reporting (CBCR) is a way to increase corporate transparency, enhancing tax fairness and accountability (European Commission, 2016). Public disclosure would make large multinational companies share information about profits, taxes paid, and number of employees on a per-country basis. However, it is unclear whether nonprofessional investors would even use CBCR and how they would interpret the information. Adding to the policy debate on whether publicly available country-by-country information will be properly used, this study employs an experimental design to investigate the effect of disclosure availability and content on nonprofessional investor judgments. We find that participants receiving an expanded disclosure are able to more accurately assess the state of the social contract between the organization and society, imposing sanctions if necessary. Exploring CBCR provides timely evidence to regulators, standard setters, and tax fairness campaigners on the impact of expanded geographical disclosures as a means of increasing transparency and improving competitiveness.