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PurposeThe purpose of this study is to identify potential differences in experiences and their causes from a gender-based perspective.Design/methodology/approachWe use secondary data, and we conduct a thematic analysis, to identify whether and how women and men negotiate differently.FindingsDespite remote work being considered as creating a level-playing field for both genders, women are still vulnerable to work and life demands, and pre-existing stereotypes become exacerbated. In addition, we show how technology might be used to manage physical and temporal boundaries, through integration or segmentation tactics.Originality/valueThere is a growing body of literature that focuses on work-life conflict among teleworkers. Yet, there is limited research that explores such conflicts from a gender perspective, specifically whether and how different genders manage boundaries between work and life differently.

PurposeThe aim of this study is to understand how virtual teams experience perceived proximity. Existing literature suggests that perceived proximity can be achieved through quality communication and increased identification. However, not much is known as to how these two may be achieved within the context of virtual teams.Design/methodology/approachThe authors address their research question through a comparative case study, with the help of two virtual teams of software developers and the authors adopt a subset from the Constructivist Grounded Theory Method procedures for the purposes of coding to understand the potential explanations regarding the two teams' differences in perceptions of perceived proximity.FindingsThe authors' study shows that shared mental models support quality communication and team members to identify with the shared values of their team. Quality communication is easier achieved when the team shares a dynamic and evolving understanding of the tools for communication and collaboration. The authors also draw attention to the importance of how work is organised and the influence of the temporal dimension on virtual teams beyond the temporal organisation of collaborative work.Originality/valueThe value of this study is found in its contribution towards the development of a formal connection between perceived proximity and shared mental models, that is empirically grounded, and which holds an explanatory value in addressing how perceived proximity can be supported rather than compromised.

PurposeThe aim of this article is to map the use of AI in the user experience (UX) design process. Disrupting the UX process by introducing novel digital tools such as artificial intelligence (AI) has the potential to improve efficiency and accuracy, while creating more innovative and creative solutions. Thus, understanding how AI can be leveraged for UX has important research and practical implications.Design/methodology/approachThis article builds on a systematic literature review approach and aims to understand how AI is used in UX design today, as well as uncover some prominent themes for future research. Through a process of selection and filtering, 46 research articles are analysed, with findings synthesized based on a user-centred design and development process.FindingsThe authors' analysis shows how AI is leveraged in the UX design process at different key areas. Namely, these include understanding the context of use, uncovering user requirements, aiding solution design, and evaluating design, and for assisting development of solutions. The authors also highlight the ways in which AI is changing the UX design process through illustrative examples.Originality/valueWhile there is increased interest in the use of AI in organizations, there is still limited work on how AI can be introduced into processes that depend heavily on human creativity and input. Thus, the authors show the ways in which AI can enhance such activities and assume tasks that have been typically performed by humans.

Intro -- Preface -- Contents -- About the Authors -- List of Figures -- List of Tables -- Chapter 1: Introduction to This Book -- Chapter 2: Definition, Current Issues and Areas for Improvement in Agricultural Supply Chains -- 2.1 Definition of Agricultural Supply Chain (ASC) -- 2.2 The Need for Value-Addition in ASC -- 2.3 Key Issues in Agricultural Supply Chains -- 2.4 Summary -- References -- Chapter 3: From Industry 4.0 to Agriculture 4.0 -- 3.1 The Evolution of Industry 4.0 -- 3.1.1 Definition of Industry 4.0 -- 3.1.2 The Evolution to Industry 4.0 -- 3.1.3 Technological Applications of Industry 4.0 -- 3.1.4 Big Data and Analytics -- 3.1.5 Autonomous Robots -- 3.1.6 Simulation -- 3.1.7 Horizontal and Vertical System Integration -- 3.1.8 The Industrial Internet of Things (IoT) -- 3.1.9 Cyber Security and Cyber Physical Systems -- 3.1.10 The Cloud -- 3.1.11 Additive Manufacturing -- 3.1.12 Augmented Reality -- 3.2 The Emergence of the Agriculture 4.0 Concept -- 3.2.1 Agriculture 4.0 -- 3.2.2 The Evolution of Agricultural 4.0 Technology -- 3.3 Summary -- References -- Chapter 4: Technological Applications of Agricultural 4.0 Supply Chains -- 4.1 Smart Farming -- 4.2 Smart Devices and Platforms -- 4.3 IoT -- 4.4 Temperature Control Applications -- 4.5 Blockchain Applications -- 4.6 Tracking and Tracing Technologies -- 4.7 Autonomous Land Farming Robots -- 4.8 Autonomous Aerial Farming Robots -- 4.9 Smart Monitors -- 4.10 Summary -- References -- Chapter 5: Data Sharing and the Transformation Agricultural 4.0 Supply Chain Operations -- 5.1 Data Sharing in Agriculture 4.0 -- 5.2 The Transformation of the Agricultural 4.0 Supply Chain Operations -- 5.2.1 Farmers Operations -- 5.2.2 Processors Operations -- 5.2.3 Distributors Operations -- 5.2.4 Retailers Operations -- 5.2.5 Consumers -- 5.3 Summary -- References.

Purpose
The study aims to provide insights in the sensemaking process and the use of business analytics (BA) for project selection and prioritisation in start-up settings. A major focus is on the various ways start-ups can understand their data through the analytical process of sensemaking.


Design/methodology/approach
This is a comparative case study of two start-ups that use BA in their projects. The authors follow an interpretive approach and draw from the constructivist grounded theory method (GTM) for the purpose of data analysis, whereby the theory of sensemaking functions as the sensitising device that supports the interpretation of the data.


Findings
The key findings lie within the scope of project selection and prioritisation, where the sensemaking process is implicitly influenced by each start-up's strategy and business model. BA helps start-ups notice changes within their internal and external environment and focus their attention on the more critical questions along the lines of their processes, operations and business model. However, BA alone cannot support decision-making around less structured problems such as project selection and prioritisation, where intuitive judgement and personal opinion are still heavily used.


Originality/value
This study extends the research on BA applied in organisations as tools for business development. Specifically, the authors draw on the literature of BA tools in support of project management from multiple perspectives. The perspectives include but are not limited to project assessment and prioritisation. The authors view the decision-making process and the path from insight to value, as a sensemaking process, where data become part of the sensemaking roadmap and BA helps start-ups navigate the decision-making process.