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This study focuses on the triadic multilevel psychic distance (MPD) between the firm, target market and bridge-maker and its consequences for firm internationalization. Specifically, it spotlights the triadic psychic distance between firms, the levels of psychic distance in the target market (country and business) and the bridge-maker. Therefore, this study examines the triadic MPD among these three entities and its impact on firm internationalization.

This study uses qualitative and case study research approaches. It is based on 8 case companies and 24 internationalization cases. Secondary data were collected, and interviews with bridge-makers and industry experts were conducted.

The study found that MPD appeared in the triad. The MPD between firms and markets is related to country-specific differences and business difficulties. The MPD between the firm and the bridge-maker is based on the latter’s lack of knowledge vis-à-vis bridging the firm’s MPD. Finally, the MPD between bridge-makers and the market is based on the former’s lack of knowledge of the home country’s business difficulties.

This is the first study to develop and adopt a triadic multilevel psychic distance conceptualization that provides evidence for and sheds light on the triadic MPD and its effect on firm internationalization. This study identifies the reasons behind triadic MPD in connection to firm internationalization. Notably, firm internationalization is interdependent on the triadic MPD setting between the firm, bridge-maker and target market. It has theoretical value and contributes to the recent advancement in the understanding of MPD in international marketing literature.

This paper aims to identify the combination of innovation determinants driving the creation of innovative products amongst market leaders and market followers in food and beverage (F&B) firms.

This research is based on the case study methodology by using two types of data sources: (1) semi-structured interviews with industry experts and (2) in-depth interviews with managers. In addition, a questionnaire adapted from prior research was used to consider market and firm types.

Suggesting an integrated theoretical framework based on firm-based factors and market-based factors, this study identified a combination of determinants significantly impacting innovative products in the market. Specifically, these determinants are competition intensity and innovation capability (a combination of research and development (R&D) investment and marketing capabilities). The study also examined how these determinants vary depending on whether the firms are market leaders or market followers.

This research provides practical insights for managers working in the F&B industry by using case studies and exploring the determinants of developing innovative products. In doing so, suitable strategies can be selected according to the market and firm situations.

The originality of the study is shown by focussing on how different combinations of market and firm factors could be applied in creating successful innovative products in the food sector.

This study analyzes how digital technologies collaboration, and technological capabilities affect tourism products' advantage and supply chain resilience via virtual integration and customer service capabilities.

To achieve the goals of this study, a digital transformation model was formulated based on the real option theory (ROT) and digital competencies perspective. Data were collected from travel agencies in Taiwan. This study uses the partial least square structural equation modeling (PLS-SEM) technique to analyze the research model, and 384 samples were collected from travel agencies for analysis.

The research results point out that digital technology collaboration and technical capabilities affect virtual integration and customer service capabilities; customer service capabilities should also be regarded as key influencing variables to improve tourism product advantages and supply chain flexibility.

This study shares a unique perspective on the digital transformation model, which includes antecedents, mediators and moderators, to construct the critical effects for analyzing the tourism products' advantage and supply chain resilience.

This study aims to explore how to overcome and address the loss of exploratory innovation, thereby achieving greater success in exploratory innovation. This phenomenon of loss occurs when enterprises decrease their investment in and engagement with exploratory innovation, ultimately leading to an insufficient amount of such innovation efforts. Drawing on dynamic capabilities, this study investigates the relationship between organizational foresight and exploratory innovation and examines the moderating role of breakthrough orientation/financial orientation.

This study used survey data collected from 296 Chinese high-tech companies in multiple industries and sectors.

The evidence produced by this study reveals that three elements of organizational foresight (i.e. environmental scanning capabilities, strategic selection capabilities and integrating capabilities) positively influence exploratory innovation. Furthermore, this positive effect is strengthened in the context of a high-breakthrough orientation. Moreover, the relationships among environmental scanning capabilities, strategic selection capabilities and exploratory innovation become weaker as an enterprise’s financial orientation increases, whereas a strong financial orientation does not affect the relationship between integrating capabilities and exploratory innovation.

Ambidexterity is key to successful enterprise innovation. Compared with exploitative innovation, it is by no means easy to engage in exploratory innovation, which is especially important in high-tech companies. While the loss of exploratory innovation has been observed, few empirical studies have explored ways to promote exploratory innovation more effectively. A key research implication of this study pertains to the role of organizational foresight in the improvement of exploratory innovation in the context of high-tech companies.

This paper contributes to the broader literature on exploratory innovation and organizational foresight and provides practical guidance for high-tech companies regarding ways of avoiding the loss of exploratory innovation and becoming more successful at exploratory innovation.

Our work adds to the debate regarding higher education graduates’ skills required in the labour market in Germany and beyond.

Using Q-methodology and the accompanying narrations, we explore German employers’ and employees’ views (N = 26) on characteristics required at the entry level.

Our findings show three areas of the labour market with different skill requirements. Whereas the first area, “The world of rules”, applies more likely to the professions and academia, the two other areas, “The middle field” and “The people-oriented and critical market”, can be found throughout the labour market. The disciplinary affiliation does not play a role. In all three areas, soft skills are crucial and specialised knowledge is only highly valued in the area of “The world of rules”.

In contrast to previous findings, we do not focus on singular skills. Instead, we focus on skill sets and discuss their relevance from the background of their usability.

This study aims to investigate the effects of board cultural diversity (BCD) and board gender diversity (BGD) of the board of directors on environmental, social and governance (ESG) performance in the European banking sector using resource-based view (RBV) theory. In addition, this study analyses the linkages between BCD and BGD and knowledge sharing on the board of directors to improve ESG performance.

This study selected a sample of European-listed banks covering the period 2021. ESG and diversity variables were collected from Refinitiv Eikon and analysed using the ordinary least squares model. This study was conducted in the European context regulated by Directive 95/2014/EU, which requires sustainability disclosure. The original population was represented by 250 banks; after missing data were excluded, the final sample comprised 96 European-listed banks.

The findings highlight the positive linkages between BGD, BCD and ESG scores in the European banking sector. In addition, the findings highlight that diversity contributes to knowledge sharing by improving ESG performance in a regulated sector. Nonetheless, the combined effect of BGD and BCD negatively impacts ESG performance.

To the best of the authors’ knowledge, this is the first study to measure and analyse a regulated sector, such as banking, and the relationship between cultural and gender diversity for sharing knowledge under the RBV theory lens in the ESG framework.

Given the many activities of Nigerian investors in the crypto ecosystem, this paper investigates the level of their awareness, attitudes, risk tolerance, experience, reasons for investing and level of financial literacy.

The research approach is based on a self-administered questionnaire. The Organization for Economic Cooperation and Development (OECD) permitted the use of its reliable and validated survey instrument, administered in Malaysia, the Philippines and Vietnam in 2019. The results are tabulated and analyzed.

The key results include the participation of respondents, who are generally young males, not fully financially literate but risk-averse. Many held the false view that investing in global markets is a higher risk than in national markets. Their reasons for investing in crypto include the fear of missing out on good opportunities and the desire to have fun. The results also revealed that social media, conversations with non-experts and online articles are among the most used investment information sources, highlighting the role of digital platforms and informal discussions in shaping perceptions and knowledge about cryptocurrencies. Investments in cryptos are financed through savings, regular monthly budgets or borrowed from friends or family. As for specific attitudes to risk, the results suggest that for most respondents, preserving their invested capital is of paramount importance.

The importance of this research also resides in the possibility of comparing the crypto ecosystem in Asia with Nigeria because the same OECD data instrument is employed in data collection. Moreover, this study is the most comprehensive research about Nigerian investors in cryptocurrencies.

Since previous literature provides fragmented and conflicting results about the use of digital data for product innovation, the article aims to comprehensively explore and shed light on how agri-food firms utilise external and internal digital data sources when dealing with different product innovations, such as incremental, architecture and radical innovation.

This paper adopts an exploratory multiple-case study and a theory-building process, focussing on the agri-food industry. We collected primary and secondary data from eight manufacturing companies.

The findings of this research show an empirical framework of six agri-food firms’ digital data utilisation behaviours: the supervisor, the passive supervisor, the developer, the passive developer, the pathfinder and the conjunction behaviour. These digital data utilisation behaviours vary according to a combination of data sources, such as internal data related to inside phenomenon measures (e.g. data generated by sensors installed in the production plan) or external data (e.g., market trends, overall sector sales), and innovation purposes.

This article offers guiding principles that assist agri-food companies when utilising internal and external digital data sources for specific product innovation outcomes such as incremental, architectural and radical innovation.

The significance of external and internal data sources in stimulating product innovation has garnered substantial attention within academic discussions, highlighting the critical importance of analysing digital data for driving such innovation. Nonetheless, the predominant approach is to study a single innovation outcome through the lens of digital technology. In contrast, our study stands out by adopting a fundamental perspective on data sources, enabling a more nuanced explanation of the overall product innovation outcomes within the agri-food sector.

This study aims to explore how multinational lead buyers can play an active role in ensuring worker voices in garment supplier factories where workers have limited space to raise their voices, and how buyers’ involvement increases the possibilities of worker voices mitigating barriers to social dialogues and enhancing mutual interests of buyers and workers in garment factories.

Using a qualitative research approach and multiple embedded case study method, this study considered buyer−supplier dyads as the unit of analysis, i.e. two multinational lead buyers and their four corresponding suppliers in the garment industry of Bangladesh. Focus group discussion and key informant in-depth interviews were techniques applied to collect factory-level data, and within and cross-case analysis techniques were applied to develop an overall understanding.

The results of this study reveal that the opportunities for workers to voice their concerns through social dialogue in garment supplier factories are limited due to various obstacles. Similarly, the role of multinational lead buyers in addressing these issues is found to be less than ideal. This study also shows that buyers can take short-term and long-term initiatives to ensure social dialogues. Moreover, this study presents how social dialogues can meet the expectations of multinational buyers and their garment suppliers.

While this study focuses exclusively on the garment industry, similar scenarios also exist across a multitude of other industries. Thus, future research could extend this study’s scope to various sectors, providing a more comprehensive understanding of the general state of worker voices in Bangladesh. This study stands to make significant contributions to literature in the fields of global value chains, human relations and international business. It will pose critical perspectives on how upstream value chain suppliers can fortify worker rights through social dialogue, and elucidate the means and motives for lead buyers to play a more active role in this endeavour.

This study is distinct in its approach, integrating buyer−supplier roles to pave the way for enhanced worker voice opportunities through social dialogue in garment supplier factories.

The purpose of this study is to describe latent classes explaining the innovation logic in the Finnish construction companies. Innovativeness is a driver of competitive performance and vital to the long-term success of any organisation and company.

Using finite mixture structural equation modelling (FMSEM), the authors have classified innovation logic into latent classes. The method analyses and recognises classes for companies that have similar logic in innovation activities based on the collected data.

Through FMSEM analysis, the authors have identified three latent classes that explain the innovation logic in the Finnish construction companies – LC1: the internal innovators; LC2: the non-innovation-oriented introverts; and LC3: the innovation-oriented extroverts. These three latent classes clearly capture the perceptions within the industry as well as the different characteristics and variables.

The presented latent classes explain innovation logic but is limited to analysing Finnish companies. Also, the research is quantitative by nature and does not increase the understanding in the same manner as qualitative research might capture on more specific aspects.

This paper presents starting points for construction industry companies to intensify innovation activities. It may also indicate more fundamental changes for the structure of construction industry organisations, especially by enabling innovation friendly culture.

This study describes innovation logic in Finnish construction companies through three models (LC1–LC3) by using quantitative data analysed with the FMSEM method. The fundamental innovation challenges in the Finnish construction companies are clarified via the identified latent classes.