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This introductory chapter starts off by discussing the differences and interconnections of visual sociology and urban sociology in their quest to understand human settlements. It then moves to argue for expanding the focus to other disciplines that are equally geared toward researching aspects of the city in visual and multimodal ways, since the urban context cannot be studied comprehensively without engaging a multitude of disciplines and trying to make productive connections between them. The chapter continues with a concise overview and discussion of each of the contributions in this first of two volumes of “Visual and Multimodal Urban Sociology” in the “Research in Urban Sociology” series. These twin volumes explore multiple ways in which the city and city life may be approached, studied, and expressed through visual and multimodal means and methods, thereby as much as possible including sensory experiences other than those related to seeing and hearing. It concludes with drawing some contours and challenges of visual and multimodal urban studies and the critical role of technology in advancing this cross-disciplinary field of inquiry.

Urban scholars employ numerous sources to study early cities, including primary sources such as historical maps, literary accounts, tax records, and the like to help visualize cities in various periods. In recent years, a variety of artificial intelligence programs have been employed to not only create visual images of earlier cities, but also to allow audiences to negotiate city streets and enter buildings within the city. The Assassin's Creed series of video games created by Ubisoft place the game player in historical settings where the assassin (representing peace and free will) will battle against groups of foes (representing order and control). Assassin's Creed II is set in Florence at the end of the fifteenth century and has been praised for the visual reconstruction of the city. But how well can a computer game represent the Early Renaissance City?

Drawing upon a systematic literature review in new technology, innovation transfer and diffusion theories, and from interviews with technology leaders in digital transformation programs in the US Oil & Gas (O&G) industry, the authors explore the relationships among O&G industry dynamics, organization's absorptive capacity and resource commitment for new digital technology adoption-implementation process.

The authors employed the empirical survey method to gather the data (a sample size of 172) in the US O&G industry and used structural equation modeling (SEM) to test the measurement model for validity and reliability and the conceptual model for hypothesized structural relationships.

The results provide support for the study’s causal model of adoption and implementation with positive and direct relationships between the initiation and trial stages, between the trial stages and the evaluation of effective outcomes and between the effective outcomes and the effective implementation stages of digital technologies. The results also reveal partial mediating relationships of industry dynamics, absorptive capacity and resource commitment between respective stages.

Based on the current study's findings, managers are recommended to pay attention to the evolving industry dynamics during the initiation stage of new digital technology adoption, to utilize the organization's knowledge-based absorptive capacity during digital technology trial and selection stages and to support the digital technology implementation project when the adoption decision of a particular digital technology has been made.

The empirical research contributes literature on digital technology adoption and implementation by identifying and demonstrating the importance of industry dynamics, absorptive capacity and resource commitment factors as mediating variables at various stages of the adoption-implementation process and empirically validating a process-based causal model of digital technology adoption and a successful implementation project that has been missing in the current body of literature on digital transformation.

The purpose of this study is to investigate visual comprehension in memory for 360-degree video advertisements amongst adolescents under single and repeated viewing conditions.

This study explored visual comprehension in memory for 360-degree video advertisements using the theoretical assumptions of the social psychology theory of social information processing by Wyer (2003). The authors conducted two experiments over a timeline of three months. In the first experiment, participants watched the 360-degree video advertisement once, and after one week, the same set of participants watched the same advertisement again. The theoretical assumptions in the comprehension unit were used to design the experiments and to explore visual comprehension in memory for 360-degree video advertisements. The data were collected using surveys and interviews through an experimental research design approach. NVivo software was used to analyse the data.

This study found that while female participants were able to comprehend colours in the visuals better, male participants were better able to comprehend facial expressions presented in the visuals. Further, both female and male participants were able to comprehend locations within the advertisement visuals. It was found that participants understood the plot or the story of the advertisement better after the second viewing than after the first viewing.

The two main contributions from this study are as follows: from a theoretical perspective, the application of a social psychology theory for the advertising sector enables us to gather more insights about the social cognition stages of a human mindset such as information retrieval, judgement, decision making, goal stimulation and short- and long-term memory. In doing so, this study not only explored adolescents' visual comprehension memory of 360-degree video advertisements, but it also contributed to the theory of social information processing by Wyer (2003) by exploring consumer visual comprehension memory. From a practical perspective, the findings of this study provide a solid foundation for future advertising firms or agencies, marketers, and salespeople on how to design effective advertisements using 360-degree video versions in a way that appeals to consumer visual memory.

This paper can be considered as amongst the first studies which combine social psychology with advertising to investigate visual comprehension memory for 360-degree video advertisements amongst adolescents.

This study aims to identify specific factors that facilitate engagement and stay intention among Generation Z employees in the Indian banking, financial services and insurance (BFSI) context. Furthermore, using the frequency distribution of the identified factors, this study has ranked them in order of their association with stay intention.

Data were collected from 22 Gen Z employees working in the Indian private BFSI sector using unstructured interviews. Inductive content analysis was applied to identify the factors improving engagement and stay intention. Moreover, quantitative content analysis was applied to calculate the frequency distribution of the identified factors.

The study identified six prominent factors, namely, transformational leadership, employee investment practices, egalitarian practices, work-life balance, job crafting and sustainability, which significantly enhance employee engagement and stay intention among Gen Z employees. Moreover, based on the results of quantitative content analysis, it was found that transformational leadership exhibited the highest frequency in association with employee engagement and stay intention. Following this were employee involvement, egalitarian practices, work-life balance, job crafting and sustainability.

In the coming days, Generation Z will contribute to almost one-third of India’s workforce, of which the BFSI sector will be the major employer. However, the issue with this generation is their retention. Hence, the study identifies factors ensuring engagement and stay intention.

Owing to the paucity of research on stay intention as a variable of interest, this study tries to capture the perceptions of Gen Z towards factors inducing their engagement and stay intention. This study assesses intention to stay (ITS) as compared to intention to leave (ITL) as it is a proactive indicator of turnover. Lastly, this study uses a qualitative approach to identify factors influencing stay intention and engagement based on interactions with employees, which, to the best of the authors’ knowledge, no prior study has attempted.

During the planting process, agricultural products produce large amounts of greenhouse gas (GHG) emissions. This has placed tremendous pressure on sustainable global development. Many countries and regions in the world have adopted intensive subsistence cultivation methods when planting maize; however, limited studies exist on these methods. The main purpose of this research is to show the impact of climate change on maize yields and carbon footprint (CF) in South Korea over 10 years, find the proper operating method and promote the advanced combination of inputs for the sustainable development of maize farmers.

This study used survey data from the South Korea Rural Development Administration of 2010, 2014 and 2019 to estimate the CF of maize planting under intensive subsistence cultivation. Life-cycle assessment was used to determine the CF. Farmers were grouped according to significant differences in yield and GHG emissions. Linear regression was used to measure the dependence of the main contributors on the CF production and carbon efficiency.

In South Korean maize planting, N in chemical fertiliser was the most significant contributor to the CF and organic fertiliser was the most significant input. The use of chemical and organic fertilisers significantly affects the production of the CF and carbon efficiency. Households in the high-yield and low-GHG emission groups are more sustainable because they generate the least GHG when producing and earning through maize cultivation. Globally, maize production in South Korea has a relatively low CF and maize production produces fewer GHG.

This study provides information for policymakers to determine key operational options for reducing GHG emissions using intensive subsistence cultivation of maize production in South Korea and other countries.

Although the literature is clear on what comprises effective project stakeholder management, communication between key stakeholders and project managers is often ineffective. Research is silent on stakeholders' insufficient knowledge of project management terminology, which is a barrier for such effective communication. This paper aims to identify the project management concepts that key stakeholders should understand to improve effective communication.

This paper employs a three-step research design. In the first step, based on threshold concept theory, the authors identify the key project management concepts through interviews with 20 project management practitioners, trainers and trainees. In the second step, the authors confirm the findings from the first step and identify effective approaches to enhance project stakeholders' communication through seven additional interviews with project stakeholders. In the third step, the authors construct a functional model of the research findings by employing a system-level modeling tool.

This research identifies five project management threshold concepts (TC) that are challenging for project stakeholders to understand (1) project benefits, (2) the iron triangle, (3) the critical path, (4) uncertainty and (5) project leadership. Following these knowledge barriers, the paper proposes unique approaches to develop effective project stakeholder communication.

This paper advances project stakeholder management research by identifying knowledge barriers and providing project managers with more effective approaches to better engage with their stakeholders.