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Managers must make numerous strategic decisions in order to initiate and implement a business model innovation (BMI). This paper examines how managers perceive the management team interacts when making BMI decisions. The paper also investigates how group biases and board members’ risk willingness affect this process.

Empirical data were collected through 26 in-depth interviews with German managing directors from 13 companies in four industries (mobility, manufacturing, healthcare and energy) to explore three research questions: (1) What group effects are prevalent in BMI group decision-making? (2) What are the key characteristics of BMI group decisions? And (3) what are the potential relationships between BMI group decision-making and managers' risk willingness? A thematic analysis based on Gioia's guidelines was conducted to identify themes in the comprehensive dataset.

First, the results show four typical group biases in BMI group decisions: Groupthink, social influence, hidden profile and group polarization. Findings show that the hidden profile paradigm and groupthink theory are essential in the context of BMI decisions. Second, we developed a BMI decision matrix, including the following key characteristics of BMI group decision-making managerial cohesion, conflict readiness and information- and emotion-based decision behavior. Third, in contrast to previous literature, we found that individual risk aversion can improve the quality of BMI decisions.

This paper provides managers with an opportunity to become aware of group biases that may impede their strategic BMI decisions. Specifically, it points out that managers should consider the key cognitive constraints due to their interactions when making BMI decisions. This work also highlights the importance of risk-averse decision-makers on boards.

This qualitative study contributes to the literature on decision-making by revealing key cognitive group biases in strategic decision-making. This study also enriches the behavioral science research stream of the BMI literature by attributing a critical influence on the quality of BMI decisions to managers' group interactions. In addition, this article provides new perspectives on managers' risk aversion in strategic decision-making.

The purpose of this article is twofold; to verify the existence of different profiles of firms based on the level of sophistication of their patent management core processes and to test the impact of the interplay between two patent management supporting dimensions, namely patent strategy and organization for patenting, on the level of sophistication of patent management core processes.

The method consists of a survey study, collecting data from a set of European patent management professionals. These data are analyzed with factor analysis, cluster analysis and regression analysis to test several hypotheses.

The results show that patent strategy positively and significantly impacts patent management sophistication, and that the patent organization positively moderates this relationship. In other words, a patent strategy, supported by a well-developed patent organization and culture, will positively influence the processes of managing a firm's patent portfolio.

This study is, to the authors’ knowledge, the first one to provide quantitative evidence that supports the notion that it is important to take a strategic and organizational perspective of patent management.

This paper aims to map the evolution of hydrogen-based technologies (HBTs) by examining the patenting activity associated to these technlogies from 1930 to 2020. In doing so, the study provides a novel perspective on the development of HBTs and offers implications for managers and policymakers.

We collected patent data at the level of patent families (PFs). Our sample includes 317,089 PFs related to hydrogen production and 62,496 PFs to hydrogen storage. We examined PF data to delineate the state of the art and major technical advancements of HBTs.

Our analysis provides evidence of an increasing patenting activity in the area of HBTs, hence suggesting relatively high levels of expectations on the economic potential of these technologies. US and Japan hold the largest proportion of PFs related to HBTs (about 60%), while European applicants hold the highest proportion of highly cited PFs (about 60%). While firms represent the applicant with the highest share of PFs, our analysis reveals that firms holding HBT PFs are primarily from the chemical sector.

While our analysis is limited to examining patent data which capture some aspects of the innovation activity around HBTs (namelly, patented inventions), our study enriches existing literature by performinng a patent analysis on a much larger sample of data when compared to previous studies.

Two main implications emerge from our study. Firstly, there seems to be an urgent need to support the emergence of a dominant design so as to facilitate the consolidation and diffusion of the HBTs, hence the transition to a more sustainable energy production. Secondly, the majority of HBT PFs are held by a small number of countries. This, in turn, suggests opportunities to develop cross-country cooperation (e.g. international agreements, research and technology offices) to support the development and adoption of HBTs globally.

Considering the results obtained in this study, from a social point of view, the attention that organizations have paid to hydrogen related technologies is evident. This suggests that the development HBTs can function as a social enabler for a sustianable energy transition.

Extant research has focused on the individual components of the hydrogen chain. As a result, we lack a comprehensive understanding of the progress made in the area of HBTs. To address this gap, this study examined HBTs by focusing on both production and storage technologies since their initial developments, hence adopting an observation period of about 70 years.

The purpose of this study was to investigate whether indicating victims of sexual attacks actively resisted their attacker or froze during their assault affected perceptions of victim blame, perpetrator blame and seriousness of the crime. We also tested whether victim and perpetrator gender or participants’ rape myth endorsement moderated the outcomes.

This study was a cross-sectional, vignette survey study with a 2 × 2 between-participants experimental design. Participants read a mock police report describing an alleged rape with a female or male victim who either resisted or froze, while perpetrator gender was adjusted heteronormatively.

Freezing and male victims were blamed more than resisting and female victims. Perpetrators were blamed more when the victim resisted, but male and female perpetrators were blamed equally. Seriousness of the crime was higher for male perpetrators and when the victim resisted. Female, but not male, rape myth acceptance moderated the relationship between victim behaviour and outcome variables.

This study highlights the influence of expectations about victim behaviour on perceptions of rape victims and the pervasive influence of rape myths when evaluating female rape victims. The data is drawn from the German border region of the Netherlands, which is an especially valuable population given the evolving legal definitions of rape in both countries.

Understanding consumer behavior across various contexts within marketing has long been the focus of studies. Although many models are used in explaining consumers' behavior, one of these is the Model of Goal-Directed Behavior (MGB), which is becoming prominent in explaining consumers' behavior in marketing. Given its popularity, prior research on MGB has shown inconsistent outcomes regarding the casual association of MGB variables. To overcome this, the authors have adopted a meta-analytic review of the marketing studies grounded on MGB theory in examining the consumers' behavior.

The study reviewed and analyzed 611 correlations from 27 studies with 31 samples (combined sample size of 9588) using a meta-analytic structural equation modeling (MASEM) technique.

The outcomes of MASEM confirm the significance of all the proposed relationships in the MGB model. However, the attitude has shown a strong influence on desire formation among all the proposed MGB relationships. Further, past buying experience and positive anticipated emotions strongly affect desire in developed nations compared to developing nations.

The current work has considered the possibility of various recommended moderators (e.g. culture, crisis situation, sample size, method of data collection, etc.); however, the study lacks to consider the dimension of gender dominance in it. Hence, future researchers should keep it in mind while conducting similar studies. Future scholars can also perform a comparative study on MGB across the domains and subdomains to know more insights.

The current work offers a better understanding of MGB application in marketing. As this work is one of the first meta-analyses on MGB application in marketing that also considers the effect of various moderators, it thus adds knowledge to the literature on MGB in marketing. It will also help the future researchers to understand MGB as a framework and its application in marketing.

By distinguishing between types of institutional constraints based on their susceptibility to bribery, this study aims to highlight the different mechanisms through which institutions influence bribery and export intensity. This work highlights the susceptibility of institutional constraints as a key consideration in understanding how bribery influences institutions and has implications for export intensity.

This study utilizes firm-level data from World Bank Enterprise Surveys using a fractional logit estimation method.

An analysis of firm-level data from 26 emerging economies shows support for a positive relationship between permit constraints and firm-level bribery payments. In addition, results provide partial support for a negative relationship between firm-level bribery payments and export intensity. Finally, this study finds partial support for the strengthening impact of financial constraints on the negative relationship between bribery payments and export intensity. However, contrary to our expectations, results indicate that tax rate constraints can weaken the relationship between bribery payments and exports.

This work contributes to international business literature by analyzing how home market institutions influence firms' export intensity. In addition, the study contributes to corruption research by highlighting the importance of heterogeneous susceptibility of formal institutional constraints to bribery. The focus on bribery responds to calls for work on firm misbehavior in international business.

This paper aims to determine whether financial performance is affected in firms adopting separately or jointly two sustainability tools (green innovation and environmental, social and governance reporting (ESG)).

The empirical study examines a sample of 211 S&P 500 firms over the 2011 to 2019 period and uses the quantile estimation method.

The results show that two dimensions of ESG disclosure (the social and governance dimensions) and green innovation positively affect financial performance. This result suggests that sustainability tools have a strong financial impact. The positive relationship between green innovation and financial performance is detected at the 10th quantile up to the 70th quantile. This finding suggests that financial performance needs a moderate investment in green innovation. When considering the joint effect of ESG disclosure and green innovation, our findings show that the positive impact of some ESG disclosure dimensions (social and governance) on financial performance is more observable with a moderate investment in green innovation.

This study highlights the prominent role of sustainability tools in financial performance. Despite the contributions of the literature, to our knowledge, the relationship between these tools and financial performance is not yet comprehensively investigated. Sustainability is less studied from the social movement perspective. This paper is among the few to study the effect of ESG reporting on financial performance in a world of green innovation.

This paper builds upon managerial discretion literature to study the relationship between foreign ownership and bribery intensity.

Building on World Bank’s data of 9,386 firms from 125 countries over the period 2006–2018, this paper uses Tobit regression, ordered probit and logit models to empirically test the hypotheses.

This paper finds that firms have higher bribery intensity when executives have a higher level of managerial discretion. Smaller firms with slack financial resources tend to bribe more when they face more government intervention, munificent and uncertain industrial environment.

Extant corruption literature has addressed the effects of external institutional settings and internal corporate governance on bribery offering among multinational enterprises (MNEs). How much, and under what condition do top executives matter in bribery activities are yet to be answered. This paper integrates the concept of managerial discretion with corruption and bribery literature and offers a potential answer to the above question. In addition, prior corruption and bribery literature have primarily studied bribery through either micro- or macro-level analysis. This paper adopts multiple-level of analyses and elucidates the foreign ownership and bribery relationship from the organizational and industrial levels.

The purpose of this study is to identify, recap and evaluate the state-of-the-art linkage between International Financial Reporting Standards (IFRS) and earnings management (EM).

A bibliometric analysis of 249 publications from the Web of Science (WoS) database was carried out, employing both the techniques of performance analysis and science mapping and the Bibliometrix R and VOSviewer tools.

The results of the performance analysis suggest that the publication and citation trends of the interplay of the IFRS and EM fields show an upward trend over time that most of the influential institutions emanate from the US and a significant percentage of articles published in this field emanate from high-quality journals. Science mapping via co-authorship analysis elucidates that more collaborative efforts among authors are needed in the future in this field. Bibliographic coupling analysis bifurcates the studies into six clusters and reveals the major themes and their evolution. Co-word analysis unfolds emerging trends that could be further explored, thus becoming possible future research avenues.

To the best of the authors' knowledge, no other study has attempted a bibliometric analysis of research on the relationship between IFRS and EM. This article fills this research gap and makes its contribution to the scientific community by presenting recent developments in this body of knowledge and suggesting future research avenues.

With the demographic increase, especially in big cities, heavy traffic, traffic congestion, road accidents and augmented pollution levels hamper transportation networks. Finding the optimal routes in urban scenarios is very challenging since it should consider reducing traffic jams, optimizing travel time, decreasing fuel consumption and reducing pollution levels accordingly. In this regard, the authors propose an enhanced approach based on the Ant Colony algorithm that allows vehicle drivers to search for optimal routes in urban areas from different perspectives, such as shortness and rapidness.

An improved ant colony algorithm (ACO) is used to calculate the optimal routes in an urban road network by adopting an elitism strategy, a random search approach and a flexible pheromone deposit-evaporate mechanism. In addition, the authors make a trade-off between route length, travel time and congestion level.

Experimental tests show that the routes found using the proposed algorithm improved the quality of the results by 30% in comparison with the ACO algorithm. In addition, the authors maintain a level of accuracy between 0.9 and 0.95. Therefore, the overall cost of the found solutions decreased from 67 to 40. In addition, the experimental results demonstrate that the authors’ improved algorithm outperforms not only the original ACO algorithm but also popular meta-heuristic algorithms such as the genetic algorithm (GA) and particle swarm optimization (PSO) in terms of reducing travel costs and improving overall fitness value.

The proposed improvements to the ACO to search for optimal paths for urban roads include incorporating multiple factors, such as travel length, time and congestion level, into the route selection process. Furthermore, random search, elitism strategy and flexible pheromone updating rules are proposed to consider the dynamic changes in road network conditions and make the proposed approach more relevant and effective. These enhancements contribute to the originality of the authors’ work, and they have the potential to advance the field of traffic routing.