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This paper aims to advance an integrative perspective of dynamic relationality in negotiation research by providing a symbiotic solution to modeling the cultural adaptation process in intercultural negotiations.

Based on a solution-oriented symbiotic approach, the authors analyze negotiators’ combination strategy to propose the dynamic convergence of dyadic relational negotiation behavior (RNB) both as a descriptive framework and a prescriptive solution to behavioral congruence in intercultural negotiations. The authors use spreadsheet platform with artificial data input to simulate various RNB dynamics between negotiators.

The authors identify the research gap between the arelational, static paradigm in negotiation literature and the relational, dynamic reality in negotiation practices, develop a fourfold typology of the existing negotiation research and propose the construct of RNB. The authors simulate the dyadic dynamics of RNB in a symbiotic framework. Results illustrate varied dyadic patterns of convergent RNB dynamics, demonstrating the effectiveness of the symbiotic solution to achieving behavioral congruence under multiple conditions. Propositions are then presented to predict negotiators’ initial relational behavior, describe dyadic coevolution of RNB in intercultural negotiations and explicate the relevant chronic consequences regarding relational and economic capital.

This paper fills a significant knowledge gap in the extant cross-cultural negotiation literature by addressing dynamic behavioral adaptation through a relational lens. This symbiotic framework is both descriptive in its predictive capacity to simulate the complexity of non-linear negotiation environment, and prescriptive in its directive capacity to guide negotiators’ plan of action given each other’s observed behavior with a probability estimation.

This study aims to contribute to the ongoing debate on behavioral operational research (BOR), specifically discussing the potential of system dynamics (SD) models to analyze decision-making heuristics. In more detail, the study suggests using an SD model as an ex-post research tool adopted not only to mimic a role-playing game (RPG) – reproducing the whole physical structure, and the complete set of decision rules specified for a supply chain (SC) management game – but also, and specifically, to replicate and analyze the players’ in-game behavior and decision-making.

After presenting a brief literature review devoted to highlighting the key concepts of the emerging streams of research named BOR and behavioral system dynamics (BehSD), the study presents the characteristics and results of an SC management-based RPG and describes the SD model that was developed to mimic the game and provide the base-run. A triangulation of data sources (which included feedback questionnaires and reports drawn up by 86 participants, as well as notes collected through direct observation of one of the authors) was used to infer information about and in-game decisions. Subsequently, four alternative versions of the SD model were calibrated to reproduce, investigate and explain ex-post the players’ in-game behavior and decision-making heuristics; this study specifically refers to one of them.

The SD model can be considered as the first output of this research. The model was calibrated to mimic the game and subsequently used to develop a few alternative models, helpful to replicate players’ behavior and analyze decision-making heuristics. The findings reveal not fully rational decisions taken by the players and share common findings with previous literature on the emergence of sub-optimal strategies (e.g. phantom ordering and hoarding strategies). The data collected from questionnaires, reports and direct observation additionally revealed that stress and behavioral factors played a role in affecting in-game decision-making.

Considering a specific RPG setting, the SD model developed in this study replicated and captured the range of factors affecting decision-making heuristics, allowing an ex-post analysis of in-game decisions. Notably, the research design presented and used in this study can be considered a generic one, which could be applied subsequently in a variety of contexts, also in combination with simulation/gaming tools and techniques different from role-playing, and both for educational and training purposes, and for research validation.

This study builds on and makes a contribution to the debate related to the emerging stream of research of BOR and more specifically, provides insights and evidence for the yet growing field of BehSD, at the same time advocating and suggesting further research in this area. Overall, the research revealed that behavioral factors may play a relevant role in driving and affecting human decision-making in simulation/gaming contexts.

Despite its devastating nature, the COVID-19 pandemic has also catalyzed a substantial surge in the adoption and integration of technological tools within economies, exerting a profound influence on the dissemination of information among participants in stock markets. Consequently, this present study delves into the ramifications of post-pandemic dynamics on stock market behavior. It also examines the relationship between investors' sentiments, underlying behavioral drivers and their collective impact on global stock markets.

Drawing upon data spanning from 2012 to 2023 and encompassing major world indices classified by Morgan Stanley Capital International’s (MSCI) market and regional taxonomy, this study employs a threshold regression model. This model effectively distinguishes the thresholds within these influential factors. To evaluate the statistical significance of variances across these thresholds, a Wald coefficient analysis was applied.

The empirical results highlighted the substantive role that investors' sentiments and behavioral determinants play in shaping the predictability of returns on a global scale. However, their influence on developed economies and the continents of America appears comparatively lower compared with the Asia–Pacific markets. Similarly, the regions characterized by a more pronounced influence of behavioral factors seem to reduce their reliance on these factors in the post-pandemic landscape and vice versa. Interestingly, the post COVID-19 technological advancements also appear to exert a lesser impact on developed nations.

This study pioneers the investigation of these contextual dissimilarities, thereby charting new avenues for subsequent research studies. These insights shed valuable light on the contextualized nexus between technology, societal dynamics, behavioral biases and their collective impact on stock markets. Furthermore, the study's revelations offer a unique vantage point for addressing market inefficiencies by pinpointing the pivotal factors driving such behavioral patterns.

In this chapter, I draw from theory and research on intergroup relations and decoupling to critique prevailing conceptions of behavioral strategy, and then propose a viable alternative. I suggest that prevailing definitions of behavioral strategy exclude or marginalize theoretical perspectives that should logically be included, which has (1) created undesirable ingroup/outgroup dynamics in the strategy field and (2) resulted in decoupling between behavioral strategy as defined by category leaders and the actual content of research conducted by category members. I contend that this state of affairs has likely reduced the impact of behavioral strategy on other disciplines, and also likely constrained its impact on non-academic audiences. As an alternative, I propose a more interdisciplinary approach that involves identifying behavioral mechanisms that explain how social and psychological processes at different levels of analysis interact and interrelate to affect strategy and performance.

The purpose of this paper is to propose a system dynamic simulated process model for maintenance work management incorporating the Fourth Industrial Revolution (4IR) technologies.

The extant literature in physical assets maintenance depicts that poor maintenance management is predominantly because of a lack of a clearly defined maintenance work management process model, resulting in poor management of maintenance work. This paper solves this complex phenomenon using a combination of conceptual process modeling and system dynamics simulation incorporating 4IR technologies. A process for maintenance work management and its control actions on scheduled maintenance tasks versus unscheduled maintenance tasks is modeled, replicating real-world scenarios with a digital lens (4IR technologies) for predictive maintenance strategy.

A process for maintenance work management is thus modeled and simulated as a dynamic system. Post-model validation, this study reveals that the real-world maintenance work management process can be replicated using system dynamics modeling. The impact analysis of 4IR technologies on maintenance work management systems reveals that the implementation of 4IR technologies intensifies asset performance with an overall gain of 27.46%, yielding the best maintenance index. This study further reveals that the benefits of 4IR technologies positively impact equipment defect predictability before failure, thereby yielding a predictive maintenance strategy.

The study focused on maintenance work management system without the consideration of other subsystems such as cost of maintenance, production dynamics, and supply chain management.

The maintenance real-world quantitative data is retrieved from two maintenance departments from company A, for a period of 24 months, representing years 2017 and 2018. The maintenance quantitative data retrieved represent six various types of equipment used at underground Mines. The maintenance management qualitative data (Organizational documents) in maintenance management are retrieved from company A and company B. Company A is a global mining industry, and company B is a global manufacturing industry. The reliability of the data used in the model validation have practical implications on how maintenance work management system behaves with the benefit of 4IR technologies' implementation.

This research study yields an overall benefit in asset management, thereby intensifying asset performance. The expected learnings are intended to benefit future research in the physical asset management field of study and most important to the industry practitioners in physical asset management.

This paper provides for a model in which maintenance work and its dynamics is systematically managed. Uncontrollable corrective maintenance work increases the complexity of the overall maintenance work management. The use of a system dynamic model and simulation incorporating 4IR technologies adds value on the maintenance work management effectiveness.

This study focuses on the role of individuals in the innovation management process, by concentrating on leaders and associated behaviors. Specifically, Entrepreneurial Leadership (EL) represent one of the most important fields of innovation management that has become increasingly multifaceted and interdisciplinary with its evolution. Thus, the purpose of this study is to examine a newly emerging research trend with a new lens that is “neuroscience”.

This paper finds an evidence-based roadmap by reviewing the literature with a quantitative Bibliometric Analysis (BA) employing Co-Citation (Co-C) and bibliographic coupling analysis (BcA) to find linkages between the leadership and entrepreneurship literature and the neuroscience literature.

This study identifies five promising groups of research areas such as the organizational approach, the biological approach, the cognitive approach, the emotional approach and it identify five future research topics such as dynamic skills in innovation exploitation process, the human aspect of leadership, the building process of leadership, the biological perspective of leadership and the application of neuroscience in the ecosystem. Moreover, we find an evidence-based roadmap for stimulating focused EL within the broad topic of innovation management research, to move the field forward.

Although the past few years have observed the necessity of review studies on the subsets of biological factors, no reviews have sought to bring those different subsets together into a broader biological perspective. This study provides important indications on the interdisciplinary developments between the neuroscience aspects and EL, as a new emerging paradigm within the broad field of innovation management.

Knowledge management in any organization is important in enhancing the organization’s performance. This study aims to explore the influence of knowledge management capability on organizational performance with the mediation role of opportunity recognition and the moderation effect of environmental dynamism.

This study used an effective and well-developed survey to collect data from 387 managers working in different service organizations in the Kingdom of Saudi Arabia. Further, SmartPLS software was used for data analysis.

The outcomes confirm that knowledge management capability is directly and indirectly (via opportunity recognition) related to organizational performance. Environmental dynamism moderates the linkage between knowledge management capability and opportunity recognition, as well as between opportunity recognition and organizational performance.

This study provides a valuable and novel managerial and theoretical approach for management to improve firm performance with the help of knowledge management capabilities, opportunity recognition, and environmental dynamism. The findings of this paper can be implemented not only in the service sector but also in the production sector. Future studies can use this conceptual framework in different countries with the current data. Moreover, other analytical approaches can be used to check the variability of these findings.

This study contributes to connecting research gaps in the literature and advancing insights into how knowledge management capabilities affect organizational performance. The study explores the mediating role of opportunity recognition and environmental dynamics as moderators between knowledge management capability and opportunity recognition and between opportunity recognition and organizational performance.

The main goal of this paper is to systematically evaluate the bibliographic production on neuromarketing from 1945 to 2018, with an emphasis on consumer behavior, to identify possible convergence of interests among health and marketing fields.

This article was based on a systematic literature review (SLR) with the intention of investigating research related to neuromarketing by means of network analysis of citations.

The research reveals that there are formed networks in the health and management areas, but they are insufficient to enhance the neuromarketing results. Ethics has been mentioned in some studies, but the maps do not suggest that it is a developing field. Similar results can be seen within the sales area that can be capitalized on by research of gains related to consumer behavior.

One limitation of this study was the use of only one database (Web of Science®) that published several works from 1945 to the present time, but certainly has not exhausted the possibilities of research in the area.

This article helped to highlight the importance of ethics in clinical and business processes using neuroimaging, which could be an easy way to understand the behavioral and physiological mechanisms.

In recent years, increasing scholarly attention has been directed towards the field of governing bodies research. However, little attention has been paid to the behavioural perspective on studying public boards. Aiming to fulfil this gap this paper offers a review of the international literature addressing boards behaviour within the unique organizational setting of public sector.

Considering as behavioural studies those publications focusing on actors, processes, decision-making, relationships and interaction inside and outside the boardroom, 91 papers were analysed. Adopting the framework provided by Huse (2007), the papers are classified following four behavioural dimensions/blocks which are crucial to understand board dynamics: board members, interactions, structures and leadership, decision-making culture.

The literature review shows the increasing production – in the last years – on the theoretical issues related to the behavioural perspective in public governance literature. The most relevant part of these contributions addresses the theoretical dimensions of the board member’s characteristics and of structural leadership.

The manuscript reveals the need to adopt a more organizational approach for studying the behavioural categories and levels of analysis proposed by public governance literature. Moreover, the article evidences some possible directions for future research that might further contribute to enrich the ‘behavioural governance perspective’ in public organizations.