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This study aims to conduct a thorough literature review to map current studies on international marketing capabilities (IMCs) applying dynamic capabilities view (DCV). The aim of this study is to increase the chances for more conceptual and terminological rigor in future research in this particular research area.

This is a systematic literature review following the established review process of reviews in leading (international) marketing journals. A multilevel analytical approach was adopted, combining inductive coding with deductive coding and following the logic of antecedents-phenomena-consequences.

Synthesis of 20 rigorously selected previous empirical studies on IMCs applying DCV reveals that academic interest in these capabilities is well justified and growing and there are some well researched antecedents to focal capabilities (e.g. inter-organizational capabilities, outside-in market orientation) as well as their prevalent consequences (e.g. export and innovation performance). There is little knowledge of moderators to these links, especially with regard to consequences. This review illustrates that the current research lacks consistency in how key constructs are defined and measured, provides the guide to future conceptualization and measurement of so-called International Dynamic Marketing Capabilities (IDMCs) and proposes some concrete research directions.

The authors extend prior research in the investigated topic by critically evaluating prior works, providing improved conceptualization of IDMCs as well as concrete research agenda for IDMCs structured along recommendations for Theory, Context and Methods (TCM framework).

This research paper aims to handle the effects of economic growth, corruption, energy consumption as well as trade openness on CO2 emissions for a sample of West African countries during the period 1980 and 2018.

The current work uses the pooled mean group (PMG)-autoregressive distributed lag (ARDL) panel model to estimate the dynamics among the different variables used in the short and long terms.

The findings demonstrate that all variables have long-term effects. These results suggest that gross domestic product (GDP) per capita exhibits a positive and prominent effect on CO2 emissions. Corruption displays a negative and outstanding effect on long-term CO2 emissions. In contrast, energy consumption in West African countries and trade openness create environmental degradation. Contrarily to long-term results, short-term results demonstrate that economic growth, corruption and trade openness do not influence the environmental quality.

Empirical findings provide useful information to explore deeper and better the link between the used variables. They stand for a theoretical basis as well as an enlightening guideline for policymakers to set strategies founded on the analyzed links.

The 26th United Nations Climate Change Conference of the Parties (COP26) has reinvigorated the policy focus on sustainable transport. Automated and Connected Transport (ACT) has been featured as a promising technology-based option to aid in meeting the Sustainable Development Goals (SDGs). Despite progress in certain areas of sustainability, there are still a lot of SDGs where limited progress has been observed since the 2015 Paris Agreement, particularly regarding the social pillar of sustainability which is reflected from the user perspective. This chapter will set the scene for this edited volume first by contrasting ACT potential with the SDGs and then by highlighting the requirement to focus more on addressing user needs through ACT. Remarkably, scholars have been increasingly sceptical about the transition to fully automated and connected vehicles, thus it is pertinent to highlight relevant opportunities and risks. Chapter recommendations foster the promotion of a Quadruple Helix approach to operationalise the inclusion of social concerns (e.g. gender balance and equity) in Sustainable Urban Mobility Plans (SUMP) across the world.

This study investigates how compulsory citizenship behaviors (CCB) affect employees’ energy and motivation to engage in other voluntary behaviors, such as service-oriented citizenship behavior and creativity. Specifically, we explore how employees’ perceptions of job overload mediate this relationship, based on their generational differences.

This study employed a time-lagged survey design to collect data from 265 frontline employees and their supervisors in Pakistani-based organizations. The data was collected in three rounds, with a three-week gap between each round.

The findings suggest that role overload, resulting from compulsory citizenship pressure, undermines millennial employees' service-oriented organizational citizenship behavior (OCB) and creativity. However, these negative effects are less salient among non-millennials.

The findings of this study provide valuable insights for managers, emphasizing the importance of exercising caution when imposing excessive citizenship pressures on employees against their will. In addition, organizations and human resource (HR) managers should consider devising policies for formal recognition of voluntary behaviors that contribute to organizational effectiveness.

This study contributes to existing CCB research by unraveling the previously unexplored mediating role of role overload and the contingency role of generational difference in explaining how and when coerced citizenship demands hinder employees’ propensity to engage in service-oriented OCB and creativity.

This study aims to investigate the unique cultural attributes of a particular association. The research focuses on a single case study involving a civil society organization whose activities are focused within the Israeli Defense Forces (IDF). Specifically, the association under examination is a religious voluntary organization engaged in social activities within the Israeli Defense Forces.

Data collection employed a qualitative approach using the case study method, with twenty in-depth ethnographic interviews conducted. The research questions guiding the study are: What are the hybrid structural characteristics of the religious association? How has this hybrid structure influenced the organizational culture?

The study identifies a hybrid structure comprising community, familial, and bureaucratic features. It reveals a blend of clan and bureaucratic cultural elements within the organization, demonstrating adaptability to the ideology of the Israeli Defense Forces.

The research uncovers an innovative hybrid structure that successfully navigates bureaucratic challenges and fosters a familial atmosphere contributing to communal benefits.

The COVID-19 pandemic has had a significant impact on medical education and training, with many medical schools and training programs having to adapt to remote or online learning, social distancing measures and other challenges. This paper aimed to examine the disruption for clinical training, as it has reduced the opportunities for students and trainees to gain hands-on experience and interact with patients in person.

The ethnographic qualitative research design was chosen as the research methodology. Using Gibbs' reflective cycle, the researcher explored the psychiatry clerks' (final-year medical students) reflections on the disruption of their clinical training during the COVID-19 pandemic.

The findings demonstrated that the students had a significant psychological impact on their coping capacities as the crisis progressed from shock and depression to resilience. The students being the key stakeholders provided a concrete foundation for the development of a framework for improving practices during uncertain times.

Students' reflections provided valuable insight into the pandemic’s impact on their psychosocial lives with uncertainty and incapacity to cope up with changing stressful dynamics. The results will assist in planning how to best support medical students' well-being during interruptions of their educational process brought about by similar future crises.

Building permitting is mostly a manual, labor intensive and time-consuming process. Initiatives for streamlining the process are not always helpful since they often fail to address the core problems within the process. A framework for modeling the permitting process can be useful to identify bottlenecks, core challenges and best practices. Hence, the authors aim to demonstrate and validate a previously suggested workflow for permit process modeling using the permitting process in Israel as a test case.

The authors implement qualitative expert interviews for data acquisition. The collected data are then processed for a qualitative data analysis. The results of the analysis are then validated using a focus group workshop in the field of building permits. In the test case the focus group consisted of Israeli experts.

The authors present a detailed overview of the as-is building permit process in Israel and the existing challenges. Through this test case, the authors found that the framework is applicable in different countries and that it can provide valuable insights into the core problems within the process. In addition, application of the same framework in different countries can provide comparable results that would allow the authors to identify best practices.

The major contribution of this work is the development and validation of a framework for building permitting process modeling which can be used to identify existing challenges and bottlenecks in the process. Implementing a structured and unified approach provides an opportunity to easily compare processes in different countries to identify best practices.

This paper examines the phenomenon of mixing public floors within private development, shedding light on underlying rationales, the acceptability of integrating different uses, and the various challenges associated with the management and creation of these mixed-use, mixed-ownership buildings.

The topic is reviewed by examining the opinions and perceptions of expert planners and developers using a triangulation of qualitative interviews data and quantitative and qualitative analysis of survey results, cross-referenced with some grey literature in the form of planning tribunal decisions.

Findings suggest that the allocation of public floors is made in response to the shortage of land in high-demand areas with the aim of densifying development and making it more efficient. Experts were generally open to the concept of a private–public floorspace mix, noting that certain public land uses are better than others when combined as floorspace within private structures. Furthermore, the findings highlight managerial obstacles as well as issues with the process of allocating public floors in new plans.

The findings can be used to provide guidance for municipal authorities and developers looking to make the most of their available land, ensuring that both the public and private domains can coexist as cities continue to grow and become more densely populated in the future.

Few studies have reviewed this type of public–private mix, while highlighting challenges in their creation and management. The Israeli case-study in the paper showcases a unique context where high growth rates, increasing densification, and vertical development all spur development in this direction.

The advancement of enterprise social networks (ESNs) facilitates information sharing but also presents the challenge of managing information boundaries. This study aims to explore the factors that influence the information-control behavior of ESN users when continuously sharing information.

This study specifies the information-control behaviors in the “wall posts” channel and applies communication privacy management (CPM) theory to analyze the effects of the individual-specific factor (disposition to value information), context-specific factors (work-relatedness and information richness) and risk-benefit ratio (public benefit and public risk). Data on actual information-control behaviors extracted from ESN logs are examined using multilevel mixed-effects logistic regression analysis.

The study's findings show the direct effects of the individual-specific factor, context-specific factors and risk-benefit ratio, highlighting interactions between the individual motivation factor and ESN context factors.

This study reshapes the relationship of CPM theory boundary rules in the ESN context, extending information-control research and providing insights into ESNs' information-control practices.

Current solutions for monitoring the progress of pavement construction (such as collecting, processing and analysing data) are inefficient, labour-intensive, time-consuming, tedious and error-prone. In this study, an automated solution proposes sensors prototype mounted unmanned ground vehicle (UGV) for data collection, an LSTM classifier for road layer detection, the integrated algorithm for as-built progress calculation and web-based as-built reporting.

The crux of the proposed solution, the road layer detection model, is proposed to develop from the layer change detection model and rule-based reasoning. In the beginning, data were gathered using a UGV with a laser ToF (time-of-flight) distance sensor, accelerometer, gyroscope and GPS sensor in a controlled environment. The long short-term memory (LSTM) algorithm was utilised on acquired data to develop a classifier model for layer change detection, such as layer not changed, layer up and layer down.

In controlled environment experiments, the classification of road layer changes achieved 94.35% test accuracy with 14.05% loss. Subsequently, the proposed approach, including the layer detection model, as-built measurement algorithm and reporting, was successfully implemented with a real case study to test the robustness of the model and measure the as-built progress.

The implementation of the proposed framework can allow continuous, real-time monitoring of road construction projects, eliminating the need for manual, time-consuming methods. This study will potentially help the construction industry in the real time decision-making process of construction progress monitoring and controlling action.

This first novel approach marks the first utilization of sensors mounted UGV for monitoring road construction progress, filling a crucial research gap in incremental and segment-wise construction monitoring and offering a solution that addresses challenges faced by Unmanned Aerial Vehicles (UAVs) and 3D reconstruction. Utilizing UGVs offers advantages like cost-effectiveness, safety and operational flexibility in no-fly zones.