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Purpose – The advancement of multimedia technology has spurred the use of multimedia in business practice. The adoption of audio and visual data will accelerate as marketing scholars become more aware of the value of audio and visual data and the technologies required to reveal insights into marketing problems. This chapter aims to introduce marketing scholars into this field of research.Design/methodology/approach – This chapter reviews the current technology in audio and visual data analysis and discusses rewarding research opportunities in marketing using these data.Findings – Compared with traditional data like survey and scanner data, audio and visual data provides richer information and is easier to collect. Given these superiority, data availability, feasibility of storage, and increasing computational power, we believe that these data will contribute to better marketing practices with the help of marketing scholars in the near future.Practical implications: The adoption of audio and visual data in marketing practices will help practitioners to get better insights into marketing problems and thus make better decisions.Value/originality – This chapter makes first attempt in the marketing literature to review the current technology in audio and visual data analysis and proposes promising applications of such technology. We hope it will inspire scholars to utilize audio and visual data in marketing research.

One of the most neglected sources of energy loss is streetlights that generate too much light in areas where it is not required. Energy waste has enormous economic and environmental effects. In addition, due to the conventional manual nature of operation, streetlights are frequently seen being turned ‘ON’ during the day and ‘OFF’ in the evening, which is regrettable even in the twenty-first century. These issues require automated streetlight control in order to be resolved. This study aims to develop a novel streetlight controlling method by combining a smart transport monitoring system powered by computer vision technology with a closed circuit television (CCTV) camera that allows the light-emitting diode (LED) streetlight to automatically light up with the appropriate brightness by detecting the presence of pedestrians or vehicles and dimming the streetlight in their absence using semantic image segmentation from the CCTV video streaming. Consequently, our model distinguishes daylight and nighttime, which made it feasible to automate the process of turning the streetlight ‘ON’ and ‘OFF’ to save energy consumption costs. According to the aforementioned approach, geo-location sensor data could be utilised to make more informed streetlight management decisions. To complete the tasks, we consider training the U-net model with ResNet-34 as its backbone. Validity of the models is guaranteed with the use of assessment matrices. The suggested concept is straightforward, economical, energy-efficient, long-lasting and more resilient than conventional alternatives.

Chapter 4 presents the research into the attributes of a stimulus, which the brain uses to construct a perception of the external stimulus. The processes used in all five senses are examined and compiled into a collective model of the processes the perceptual system uses to discriminate and understand an external stimulus. While there are many commonalities across the senses, the structure of the discipline (energy) each system processes yields unique insights into the processes of the total system.

Purpose – The present article explores a relatively new way for consumers to dispose of items they no longer use, namely free recycling websites. Online recycling is based on an encounter with an unknown recipient to give something away ‘in person’.

Methodology – A phenomenological approach was used to understand the meaning of giving through free recycling websites. Placing the focus on the donor's perspective, we analysed Internet postings and conducted 27 in-depth interviews.

Findings – Our research shows that (1) when the object is given, the online giver is less concerned about the risk of refusal, since the recipient has deliberately made the choice to take the item; (2) when the item is received, the encounter with the recipient removes the anonymity of charities and (3) in return, the encounter with the recipient offers the giver acknowledgement for the gesture without committing them to a relationship with the recipient in the way a gift to kith or kin might do.

Research implications – While former literature has highlighted certain tensions in the gift economy, this study shows how free recycling websites can help to alleviate such tensions.

Social implications – The research highlights how this system of object disposition enhances social interactions between two strangers that share an interest in the same object.

Originality – The article shows how this new form of gift-giving relationship is both rewarding and liberating: it is rewarding thanks to the interaction with the recipient (unlike donations to charities) without necessarily creating a bond of dependence (unlike giving to someone you know).

Purpose – This essay attempts to answer the question, “What distinguishes inter-human influence from other forms of influence?”

Design/methodology/approach – Specifying the micro-foundations of social structures in terms of communicative inferences necessitates a revision of the concept of social structures (and institutions) as distributed, and hence, uncertain, structures of expectation. Institutional realities are generated in linguistic interaction through the indirect communication of generic references. The generalizing function of language – in particular, abstraction and memory – coupled with its reflexive function, to turn references into things, are sufficient to generate both social structures and institutions as collective inferences.

Findings – Social relations are fundamentally communicative relations. The communicative relation is triadic, implying an enunciator, an audience, and some referential content. Through linguistic communication, humans are capable of communicating locally with others about others nonlocally. Institutions exist only as expectations concerning the expectations of others. These expectations, however, are not only in the mind, and they are not exclusively psychological entities. Linguistically, these expectations appear as the reported statement within the reporting statement, that is, they are constituted through indirect discourse.

Research limitations/implications – An important implication for current sociological theory is that, from the point of view of a sociology defined as communication about communication from within communication, institutional realities should not be reified as existing naturalistically or objectively above or behind the communications through which they are instantiated.

Originality value – This approach, then, is decidedly anti-“realist.” The goal of such research is to examine the inadequacy of nonreflexive models of social order. Accounts of how sets of social relationships emerge will remain inadequate if they do not reflect upon the cognitive and communicative processes which make possible the consideration of such structures.

Utility strikes have spawned companies specializing in providing a priori analyses of the underground. Geophysical techniques such as Ground Penetrating Radar (GPR) are harnessed for this purpose. However, analyzing GPR data is labour-intensive and repetitive. It may therefore be worthwhile to amplify this process by means of Machine Learning (ML). In this work, harnessing the ADR design science methodology, an Intelligence Amplification (IA) system is designed that uses ML for decision-making with respect to utility material type. It is driven by three novel classes of Convolutional Neural Networks (CNNs) trained for this purpose, which yield accuracies of 81.5% with outliers of 86%. The tool is grounded in the available literature on IA, ML and GPR and is embedded into a generic analysis process. Early validation activities confirm its business value.