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As organizations increasingly engage with consumers over mobile devices, there is a growing need to understand how consumers react to impression management over platforms with limited textual content. The purpose of this paper is to empirically assess how different impression management tactics can be used in mobile media to enhance consumer perception-attitude-intentions toward a corporate brand.

We surveyed 670 consumers and estimate structural equation models and repeated-measures ANOVAs to determine how short passages employing alternate impression management tactics influence consumers’ perceptions, attitudes and purchase intentions.

Results reveal that each impressions management tactic (i.e. ingratiation, intimidation, organizational promotion, supplication and exemplification) influences consumer perceptions, attitudes and intentions. The authors compare differences in how the impressions management tactics influence each stage of the perception-attitude-intentions model and find evidence that initial differences in perceptions favoring ingratiation and exemplification appeals become magnified for purchase intentions.

Recent calls for research focus on an understanding of how consumers process information on reduced-content platforms of small-screened mobile devices. These results provide empirical evidence of the use of impression management and the difference between five impression management tactics on enhancing consumer perception-attitude-intentions model.

The results of this study will provide marketers with insights to optimize communications and corporate brands with consumers over mobile media.

This paper adds to the nascent yet vital literature on mobile marketing by focusing on how impression management tactics influence perceptions, attitudes and intentions through the short message characteristic of mobile platforms. The authors develop a framework for how corporate brand management can strategically use impressions management tactics in this novel domain.

Reinforced autoclaved aerated concrete (RAAC) panels have been extensively used in the UK since the 1960s as structural roofs, floors and walls. The lack of a longitudinal, objective, consistent defect data capture process has led to inaccurate, invalid and incomplete RAAC data, which limits the ability to survey RAAC within buildings and monitor performance. Therefore, an accurate, complete and valid digital data capture process is needed to facilitate better RAAC performance and defect monitoring. This paper presents the development of an artificial intelligence (AI)-driven RAAC crack defect capture tool for improving the quality of RAAC survey data.

RAAC crack defect image data were collected, curated and trained. A deep learning approach was employed to train RAAC surveyed defects (cracks) images from two hospitals. This approach mitigated unavoidable occlusions/obstructions and unintended “foreign” objects and textures.

An automatic RAAC crack identification tool has been developed to be integrated into RAAC survey processes via an executable code. The executable code categorises RAAC survey images into “crack” or “non-crack” and can provide longitudinal graphical evidence of changes in the RAAC over time.

This paper identifies the role of AI in addressing the intrinsic defects data capture issues for RAAC and extends current debates on data-driven solutions for defect capture and monitoring.

Since the first Volume of this Bibliography there has been an explosion of literature in all the main areas of business. The researcher and librarian have to be able to uncover specific articles devoted to certain topics. This Bibliography is designed to help. Volume III, in addition to the annotated list of articles as the two previous volumes, contains further features to help the reader. Each entry within has been indexed according to the Fifth Edition of the SCIMP/SCAMP Thesaurus and thus provides a full subject index to facilitate rapid information retrieval. Each article has its own unique number and this is used in both the subject and author index. The first Volume of the Bibliography covered seven journals published by MCB University Press. This Volume now indexes 25 journals, indicating the greater depth, coverage and expansion of the subject areas concerned.

Aim of the present monograph is the economic analysis of the role of MNEs regarding globalisation and digital economy and in parallel there is a reference and examination of some legal aspects concerning MNEs, cyberspace and e‐commerce as the means of expression of the digital economy. The whole effort of the author is focused on the examination of various aspects of MNEs and their impact upon globalisation and vice versa and how and if we are moving towards a global digital economy.

First, this paper explores the many varied, and often confusing, definitions of relationship marketing, customer relationship management (CRM) and customer management (CM). Then it reports the results of a survey that examined the CM performance of 34 companies in the consumer banking, credit card, insurance, oil (lubricants) and automotive industries in Malaysia. The research was conducted using the Customer Management Assessment Tool^TM (CMAT^TM) developed by QCi Ltd, a management consultancy that specialises in assessing and improving CM. CM performance was found to be especially poor in insurance and consumer banking. The best performing sector was the credit card industry.

The purpose of this study is to examine the impact of four organisational cultural traits of adaptability, consistency, involvement and mission on the three components of customer relationship management (CRM), namely, people, process and technology, in the context of the hotel industry.

Required data are collected with a quantitative approach and a questionnaire adapted from the Denison organisational culture survey and the Mendoza CRM model. The questionnaire was distributed among 364 managers of a chain hotel in the UK and gathered data were examined using the structural equation modelling method.

The results of this study reveal that the four traits of organisational culture (adaptability, consistency, involvement and mission) have positive and significant impacts on the three components of CRM (people, process and technology). A set of theoretical contributions and practical implications was also discussed.

The study is conducted with a case study approach; hence, the findings cannot be generalised to a larger population, and the results might be different for other industries. Because of the limitation of access to all employees, only managers were selected as the sample, and future studies with all employees may show different results.

Current study helps hotel managers to understand the role and importance of organisational cultural traits in successful implementation of their CRM strategy components.

The position taken in this study recognises the need to enhance the understanding of organisational culture’s impact on implementing CRM components. Organisational cultural traits have different levels of impact on CRM implementation, and this is the first study to investigate the detailed impacts of the four traits of adaptability, consistency, involvement and mission on the three components of CRM, namely, people, process and technology.

The purpose of this paper is to review the growing literature examining supply chain risk management (SCRM) and to develop a typology of risks in the supply chain.

The paper draws its insights and conclusions from a review of the literature on supply chain risk, and a synthesis of the broader domain of risk management.

While the literature on SCRM is growing, the literature lacks an organized structure for the sources of supply chain risk. The current paper bridges this gap by synthesizing the diverse literature into a typology of risk sources, consisting of environmental factors, industry factors, organizational factors, problem‐specific factors, and decision‐maker related factors.

The paper devises a typology that can be used by managers to measure and assess the vulnerabilities of their company and supply chain. The typology also provides avenues for future research that further guides practitioners in the management of their supply chain risk portfolio.

SCRM is rapidly developing into a favored research area for academicians as well as practitioners, especially after the attacks of September 11 and the recent array of natural disasters. This paper develops a methodology for structuring academic inquiry in this important research area.

The purpose of this study is to determine if blockchain-supported carbon offset information provision and shipping options with different cost and environmental footprint implications impact consumer perceptions toward retailers and logistics service providers. Blockchain and carbon neutrality, each can be expensive to adopt and complex to manage, thus getting the “truth” on decarbonization may require additional costs for consumers.

Experimental modeling is used to address these critical and emergent issues that influence practices across a set of supply chain actors. Three hypotheses relating to the relationship between blockchain-supported carbon offset information and consumer perceptions and intentions associated with the product and supply chain actors are investigated.

The results show that consumer confidence increases when supply chain carbon offset information has greater reliability, transparency and traceability as supported by blockchain technology. The authors also find that consumers who are provided visibility into various shipping options and the product's journey carbon emissions and offset – from a blockchain-supported system – they are more willing to pay a premium for both the product and shipping options. Blockchain-supported decarbonization information disclosure in the supply chain can lead to organizational legitimacy and financial gains in return.

Understanding consumer action and sustainable consumption is critical for organizations seeking carbon neutrality. Currently, the literature on this understanding from a consumer information provision is not well understood, especially with respect to blockchain-supported information transparency, visibility and reliability. Much of the blockchain literature focuses on the upstream. This study focuses more on consumer-level and downstream supply chain blockchain implications for organizations. The study provides a practical roadmap for considering levels of blockchain information activity and consumer interaction.

Businesses today face a number of difficult challenges that make customer engagement more important than ever. The usual way in which businesses operate makes it difficult to achieve high levels of consumer engagement. Perhaps the main problem with all the bits and pieces of ideas that would promote customer engagement – branding to consumers, internal marketing within the company, and service delivery – is how to fit all these together. The way to implement such models throughout the company is not clear and not easy to understand.

The total engagement model puts everything together into an efficient and effective system. The key is focusing on aligning all activities of the company on a unified plan for customer engagement, including advertising, service, products and the internal culture. An important benefit of the total engagement model is the synergy through total brand strategy alignment throughout the company: the whole (through integration) is greater than the sum of the parts (of which some may already be good and some not so good but they may be fragmented). The proposed model is fairly comprehensive and thereby integrates and clearly explains, with emphasis on actionability, how to design and operationalise a growth plan driven by increasing customer engagement.

The findings of two case studies are presented, which illustrate the model at work.

The approach will be of interest to managers who seek to integrate a comprehensive, actionable brand management model throughout the company in order to maximise growth potential.

The paper outlines an original business model, the “total engagement model,” which, when executed well, can help an organisation to achieve business growth via customer engagement.

This paper aims to use the results of a synthesis of six social science fellowships to explore how alternative framings of the climate justice debate can support fairer climate policies.

The original fellowships drew on sociology, economics, geography, psychology and international relations. Cross-cutting themes of rights, risks and responsibilities were identified following a series of workshops. Results of these workshops were discussed in a number of policy fora. Analysis of the feedback from that fora is used to propose the case for a rights, risks and responsibilities approach to building a more accessible climate justice debate.

Existing climate policy unjustly displaces a) responsibility for emission reductions, b) risks from climate impacts and c) loss of rights. Foundational questions of acceptable risk have been ignored and a just climate policy requires procedurally just ways of revisiting this first-order question.

The contribution a rights, risks and responsibilities framework can bring to a process of educating for climate stewardship is at this stage theoretical. It is only through trialling a rights, risks and responsibilities approach to climate justice debates with the relevant stakeholders that its true potential can be assessed.

Policy actors expressed strong resistance to the idea of overhauling current decision-making processes and policy frameworks. However, moving forward from this point with a more nuanced and tactical understanding of the dialectical relationship between rights, risks and responsibilities has the potential to improve those processes.

Educating for climate stewardship will be more effective if it adopts an approach which seeks a co-production of knowledge. Beginning with the foundational question of what counts as an acceptable level of climate risk offers an inclusive entry point into the debate.

Reveals limits to public engagement with climate policy generated by a ‘justice’ framing.