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This paper investigates the effect of political uncertainty on the decision to cross-list in the United States (US).

To reach our paper aim, we use a sample of 589 non-US firms cross-listed in the US for the period from 2000 to 2019. We perform logit regression and use several political uncertainty proxies, including US election presidential years, political voting margin and the political uncertainty index from Baker et al. (2002), as a continuous measure of general political condition (Francis et al., 2021).

We find the following results. Non-US firms are less likely to cross-list their shares when US political uncertainty is high. We also find that the decision to cross-list is driven by price informativeness as a channel that can explain the role of political uncertainty. Our results are robust to the endogeneity concern. In addition, we find that political administration (Democrats vs Republicans) significantly affects the decision to cross-list. More particularly, we show that firms are more likely to cross-list their shares in the US when Democrats win the elections. Moreover, we find that cross-listed firms exhibit lower valuation compared to their non-cross-listed peers when US political uncertainty is high.

Using a unified framework of non-US firms cross-listed in the US, this paper contributes to different strands of the literature. Our first main contribution adds to the literature on cross-listing by providing, in our knowledge, the first evidence regarding the relation between cross-listing and political uncertainty. We add to the existing literature by showing that US political uncertainty significantly determines the decision to cross-list and value creation for cross-listed firms. Whether and how managers alter their strategic decision behavior in such settings is less clear. Hence, our paper contributes to the literature by documenting how political uncertainty impacts cross-listing decision and shapes management guidance decisions. Second, this study joins a growing body of literature that examines the real impact of economic policy uncertainty (EPU) on economic outcomes. We provide empirical evidence suggesting that cross-listed firms exhibit lower valuation during period of high political uncertainty due to decreased price informativeness.

This study explores the role of the Internet of Things (IoT) as an enabler for Lean Construction principles and tools in construction projects.

In response to the scarcity of studies about IoT functionalities in construction, a two-round systematic literature review (SLR) was undertaken. The first round aimed to identify IoT functionalities in construction, encompassing an analysis of 288 studies. The second round aimed to analyze their interaction with Lean Construction principles, drawing insights from 43 studies.

The outcome is a comprehensive Lean Construction-IoT matrix featuring 54 interactions. The highest levels of interaction were found in the Lean Construction principle “flow” and the functionality of “data transfer and real-time information sharing”.

The study focuses on the role of IoT as an enabler for Lean Construction. Future work can cover the role of Lean as an enabler for advanced technology implementation in construction.

The Lean Construction-IoT matrix serves as a resource for researchers, practitioners, and decision-makers seeking to enhance Lean Construction by leveraging IoT technology. It also provides various examples of how advanced technology can support waste elimination and value generation in construction projects.

Demanding and highly competitive business environment has stimulated small and medium enterprises (SMEs) to restructure their manufacturing practices. Lean manufacturing (LM), a comprehensive alternative, is now being adopted, notably by manufacturing organizations, to increase business effectiveness and performance through a variety of lean approaches. Lean implementation, however, ran into a number of difficulties, which showed that non-technical factors such as human-related practices must also be integrated if lean is to be successful. This study aims to examine a thorough overview of the various human-related lean practices (HRLP) mentioned in recent literature and to determine which of them is more pertinent to a successful LM implementation in SMEs.

A total of 193 publications published in 45 journals between 2013 and 2023 and based on the 4 reputable publishers, namely, Science Direct, Emerald Online, Taylor and Francis and Springer Link, were gathered based on a systematic literature review of peer-reviewed journal articles in LM.

The amount of research on human resource management and lean management that has been conducted has increased dramatically during the past few years. The outcome of this study will offer a thorough analysis of soft lean practices found in the LM literature that manufacturing SMEs should take into account while implementing lean.

The scope of this research is restricted to a survey of scholarly works using the terms “Lean manufacturing” or “Lean production” as well as “human” or “people” or “soft-lean practices” in the title. Furthermore, only works published in scholarly publications that have undergone peer review were included. Also, due to the authors’ linguistic restrictions, only English articles were used. The HRLP linked to a smooth lean transition are described in this research. Thus, it can be used to assist the production and human resource departments in raising an organization’s long-term performance.

The study gives researchers a better grasp of the direction the subject is taking and what gaps still exist, which aids them in focusing their research on HRLP in small- and medium-sized businesses.

The 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.

This 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.

The 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.

While 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.

Anchored in the theories of brand gestalt and stakeholder perspectives, this study aims to undertake a comprehensive examination of the brand gestalt concept, emphasizing its multidimensional nature and the process of co-creation.

Focused within the context of the Wonderful Indonesia brand, the research draws upon a rich qualitative data set derived from in-depth interviews conducted with 18 international tourists, supplemented by netnography (or internet ethnography) of websites, social media and online articles related to Wonderful Indonesia. Using grounded theory methodology, the qualitative data undergo rigorous analysis to identify emergent themes and patterns.

The research elucidates the four dimensions (4S) comprising brand gestalt: storyscapes, sensescapes, servicescapes and stakeholderscapes. Each dimension is further delineated into essential categories, providing a comprehensive understanding of brand gestalt. This study highlights the collaborative nature of brand gestalt, emphasizing the involvement of multiple stakeholders in shaping the brand's identity and perception. Consumer perceptions of co-creation are identified as significant contributors to brand gestalt, enhancing the brand's value proposition.

Destination management and practitioners can use the insights from the research to refine their brand management and marketing strategies by leveraging the dimensions of brand gestalt. Recognizing the collaborative construct of brand gestalt can guide businesses in fostering meaningful relationships with stakeholders and aligning branding efforts with collective visions. Understanding the role of consumer co-creation in brand development can inform strategies aimed at enhancing brand equity and fostering consumer loyalty.

This study extends existing literature on brand gestalt by providing a comprehensive examination of its four dimensions and essential categories. By emphasizing the collaborative nature of brand gestalt, this study contributes to advancing the understanding of brand co-creation paradigms. The identification of consumer perceptions of co-creation as a significant factor in brand gestalt adds novel insights to the literature, offering valuable implications for brand management and marketing strategies.

This paper argues for an increased volume of references to Gabriel Tarde and Georg Simmel in the field of organization sociology. The text emphasizes the importance of these two sociologists in understanding the role of imperfection in organizing and the phenomena of fashion and imitation in contemporary organizations. Tarde’s theory challenged the antinomy between continuity and discontinuity, considering finite entities as cases of infinite processes and stable situations as transitory. Simmel’s theory of fashion explores the democratic and democratizing nature of fashion, which satisfies the demand for social adaptation and differentiation. They both saw fashion as a selection mechanism for organizational forms and managerial practices. Furthermore, referring to Tarde and Simmel can help counter the overemphasis on identity construction and the neglect of alterity in social sciences. The construction of identity often overlooks the inevitability of difference and alterity, which are essential aspects of collective projects. Lastly, this paper discusses Simmel’s concept of the stranger and its relevance in analyzing the experiences of foreigners and their potential advantages as “double strangers” in academia and society. The conclusion is that Tarde and Simmel’s contributions offer valuable insights for understanding the dynamics of management, organizing, and social interactions in contemporary organizations.

Nosiness is an annoying behavior at the workplace that can lead to negative consequences. It is characterized by being overly curious about other people’s affairs. Specifically, this study aims to identify the factors contributing to nosiness among nurses.

We conducted an exploratory qualitative interview study involving 38 nurses in Iran. The participants were selected by purposive sampling.

We identified nine themes as the antecedents of nosiness among nurses: defamation motive, the need for certainty, the need for power, recreational motive, empathy, social comparison, the allure of the subject for the individual, having an employee-friendly workplace, and work environment and workload.

Understanding the antecedents of nosiness can help healthcare organizations curtail this phenomenon and foster a positive work environment, particularly in nursing where empathy, compassion, and attention to detail make them susceptible to nosiness.

The unstable labor productivity and periodic planning method cause barriers to improving construction logistics management. This paper aims to explore a demand-driven mechanism for efficient construction logistics planning to record the material consumption, report the real-time demand and trigger material replenishment from off-site to on-site, which is aided by Building Information Modeling (BIM) and the Kanban technique.

This paper follows the design science research (DSR) principles to propose a system of designing and applying Kanban batch with 4D BIM for construction logistics planning and monitoring. Prototype development with comparative simulation experiments of a river remediation project is conducted to analyze the conventional and Kanban-triggered supply. Two-staged industrial interviews are conducted to guide and evaluate the system design.

The proposed BIM-enabled Kanban system enables construction managers and suppliers to better set integrated on- and off-site targets, report real-time demands and conduct collaborative planning and monitoring. The simulation results present significant site storage and schedule savings applying the BIM-enabled Kanban system. Feedback and constructive suggestions from practitioners are collected via interviews and analyzed for further development.

This paper brings to the limelight the benefits of implementing BIM-enabled demand-driven replenishment to remove waste from the material flow. This paper combines lean production theory with advanced information technology to solve construction logistics management problems.

Improving construction projects' performance through innovative approaches such as lean construction (LC) and offsite construction (OSC) methods are at the centre of various debates. However, there is a limited understanding of the current link between LC and OSC approaches. This study aims to conduct a scientometric analysis on LC and OSC research to unpack and establish the nexus and suggest future research focus.

Scientometric analysis was used to systematically examine existing literature on LC and OSC to identify possible connections. Relevant publications were extracted from the Scopus database, using inclusion and exclusion criteria. VOSviewer software was used as a visualisation technique to analyse and map the interrelations and connections of the concepts being studied. Bibliograhic data on the 68 selected papers were extracted from the Scopus database.

The search results cover the period between 2003 and 2021. Descriptive statistics show that the number of published papers has increased yearly. Researchers in the USA and Canada are the most productive authors regarding the number of published papers. The directions for future research suggested are the need to identify best practices for integrating LC and OSC methods, the need for more interdisciplinary and cross-country collaboration among researchers, the use of alternative research methods will provide a better understanding of the benefit of integrating LC and OSC techniques and more research is needed to showcase how the use of lean and offsite construction can facilitate the attainment of net-zero in the construction industry.

This study provides insights into the trends and gaps in knowledge on integrating LC and OSC methods and offers valuable insights to scholars and practitioners in integrating LC and OSC principles. This knowledge is vital for identifying strategies to improve the outcome of construction projects and contribute to the sustainable socio-economic development of cities across the globe.

The pupose of this study is to systematically review the current literature on the value stream mapping (VSM) application in the construction industry to investigate the evolution observed over time and the results obtained by adopting this tool. In addition, special attention was given to the potential of VSM in identifying loss and waste, as well as their main causes.

The study analyses papers in literature using Preferred Reporting Items for Systematic Reviews and Meta-Analyses research protocol. As a result, 383 papers were initially identified, and 47 papers were selected.

It was observed that the number of studies addressing this topic has been increasing over the past decade and findings related to the evolution, application and the benefits obtained from the VSM application in context of construction were presented. Additionally, the authors found that the two most cited lean wastes were waiting and defects in the production chain. The main causes of this waste and loss were also identified in this work.

This paper contributes by presenting the applicability of VSM as a tool in the construction as found in the literature. For academics, it will be possible to clearly observe research gaps and for industry managers, to identify the main sources of waste and assess the performance of the tool’s application.

The study uses a systematic review to analyze the application of the VSM tool in the construction industry and provides guidance for future research by identifying research gaps, in addition to conducting an extensive analysis of the tool’s potential in waste identification in the studied papers and their primary causes.