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Whereas job crafting and idiosyncratic deals (i-deals) have primarily been studied in white-collar jobs, there is a lack of research on job design in less skilled and highly structured work. Our study addresses this gap by analyzing the effects of transformational leadership on job crafting and i-deals in blue- and white-collar jobs.

To test our hypotheses, we surveyed 285 employees (31.9% blue-collar employees and 68.1% white-collar employees) in the German craft industry, using structural equation modeling for data analysis.

Our results show that transformational leadership is a strong predictor of job crafting and i-deals but that its influence depends on the occupational group. More specifically, the moderating role of the occupational group in the relationship between transformational leadership and job crafting differs regarding job crafting’s dimensions. Concerning i-deals, transformational leadership’s influence on both development and task i-deals is stronger in white-collar jobs than it is in blue-collar jobs.

The study provides new insights into the important role of the work context in which leadership takes place. In particular, these insights can guide leaders in how to manage different occupational groups to engage them in proactive behaviors.

This study is the first to compare the contextual roles of blue- and white-collar jobs with regard to job design. By examining the influence of transformational leadership on job crafting and i-deals in two occupational groups, our study contributes to research on the role of work context in the effectiveness of transformational leadership in encouraging employees to engage in proactive behaviors.

The COVID-19 pandemic has amplified the importance of effectively leading a remote workforce in volatile, uncertain, complex and ambiguous (VUCA) environments. This study examines the effectiveness of transformational–transactional leadership (Full-Range Leadership Model, FRLM) and its recent extension of instrumental leadership (eFRLM) in remote work contexts.

We surveyed 529 remote working followers, providing perceptions on (1) their leaders’ manifestation of eFRLM dimensions and factors, (2) their leaders’ leadership effectiveness and (3) their organizational environment as VUCA.

Results show that instrumental leadership represents a strongly effective leadership dimension in remote work contexts, explaining unique variance beyond transformational–transactional leadership. Moreover, VUCA environments moderated the association between eFRLM leadership behaviors and leadership effectiveness, with instrumental leadership being particularly effective in more pronounced VUCA environments and transformational–transactional leadership being less effective.

Overall, instrumental leadership appears crucial to consider when predicting leadership effectiveness in virtual and uncertain contexts.

This article provides a historical-comparative conceptual analysis of entrepreneurial leadership and transformational leadership, aiming to critically appraise how the latter has informed the former.

A narrative review methodology and three-stage framework is used to develop the analysis and structure the discussion. The framework consists of the following three stages – concept introduction and elaboration, concept evaluation and augmentation and concept consolidation and accommodation.

The key ‘narrative’ emerging from the review concerns how entrepreneurial leadership as a concept has evolved into a re-iteration of the transformational leadership approach, absorbing the conceptual merits, and more significantly, conceptual flaws of the latter. Notable critiques of transformational leadership theory, namely, a lack of conceptual clarity, over-reliance on quantitative methodologies and the ‘heroic bias,’ can similarly be raised against existing research on entrepreneurial leadership. To redress these issues, the conceptual, methodological and practical implications of the historical-comparative analysis are outlined, which includes avenues for further research – with and without key elements of transformational leadership theory.

The article is the first to discuss the historical evolution of entrepreneurial leadership as a concept in relation to transformational leadership theory, which has been influential in research on the former. In particular, the critical analysis illustrates how the conceptual evolution of entrepreneurial leadership has failed to acknowledge the significant limitations associated with transformational leadership theory, despite considerable application of it.

This paper aims to analyze variations in the parameters of the market share–rank power law across consumer packaged goods (CPG) categories.

The authors use a two-level hierarchical linear model to examine the relationships between category-level variables and the parameters of the market share–rank power law in 790 CPG categories.

The slope of the market share–rank power law is shallower – indicating more equal market shares – in categories of high importance to retailers and those with high levels of promotional activity or high-volume purchases. Higher levels of market share inequality are associated with categories with high overall prices.

To the best of the authors’ knowledge, this is the first research to show the systematic influence of category characteristics on the relationship between brands’ market shares and their ranks, thus, identifying a key moderator for this important empirical generalization in marketing.

While market leadership may be a desirable goal for many brands, the corresponding market share at the top brand does vary. Moreover, the share premium for being number one in the category (gap between the top and other highly ranked brands) can be greatly affected by retailers’ strategies. In addition, the slope of the power law has desirable qualities as a measure of market concentration. However, the empirical study shows that category characteristics must be considered when analyzing differences in concentration across categories or time.

While other studies document variations in the market share–rank power law relationship, to the best of the authors’ knowledge, this is the first that models these variations as a function of observable category characteristics. The comprehensive nature of the data demonstrates the universality of the market share–rank power law relationship across CPG categories in the USA.

Managing patients’ health information is one of the building blocks of the health system and the adoption of health information technologies like electronic health records (EHRs) is expected to reduce the various challenges in keeping and accessing quality health-care data that aid decision-making among medical practitioners. This study aims to investigate how leadership styles and change management affected the job performance of health information management practitioners on their adoption of EHRs in tertiary hospitals in Nigeria.

The study used primary data collected using a Likert scale questionnaire from 117 health information management officers and health information technicians in selected tertiary hospitals in South-Eastern Nigeria. The data were analysed using bivariate correlation and multiple regression techniques of inferential statistics.

The analyses revealed that transformational leadership style, transactional leadership style and change management had significant positive influence on the job performance of health information management practitioners. However, laissez-faire leadership style did not show any significant positive influence. A further analysis showed that the combined effects of leadership styles and change management were also affirmed to significantly influence the adoption of EHRs for quality health-care delivery in Nigerian tertiary hospitals.

The study contributes to health information management and the need to understand how leadership styles and change management can influence the adoption of EHRs. However, there is no adequate research that examined the role of leadership style and change management in influencing the job performance of Nigerian HIM practitioners regarding their usage of EHRs in tertiary hospitals in Nigeria.

This paper explores the relationship between transformational principal leadership and individual teacher innovativeness, considering the mediating role of teacher agency (TA) and the moderating role of teacher trust (TT).

We employed structural equation modeling (SEM) using survey data collected from 676 teachers at 25 schools in Turkey.

The results indicated no direct correlation between transformational leadership (TL) and teacher innovativeness but revealed a significant and positive association between TL and teachers' agency, as well as between teachers' agency and innovativeness, suggesting that TA fully mediates the association between TL and teacher innovativeness. Additionally, teachers' trust positively influenced the link between principal leadership and teachers' innovativeness, with the impact of TL on teachers' innovativeness being stronger when trust levels were higher.

This study contributes to the literature, providing an understanding of the mechanisms through which leadership can exert an influence on teacher innovativeness.

This study also suggests that the strength of the influence is likely to vary under different circumstances. Trust among teachers appears to play a key role in the effect of school leadership on teachers, particularly when aiming to support and sustain innovativeness.

Trust-based relationships within a school are essential for school principals to influence innovative practices. We conclude that, in the absence of trust as a key component of school climate, achieving a comprehensive understanding of the role of school leadership in fostering teacher innovativeness seems unattainable.

This paper expands existing knowledge regarding the effect of TL in leading teacher innovativeness by indicating the indispensable role of TA and trust.

The purpose of this research is to develop a comprehensive model to better understand competitive dynamics between mobile payment providers in a multi-sided market featuring customers and merchants. This is undertaken by modeling customers performing financial transactions with merchants while two mobile payment systems (MPS) providers deploy different strategies to compete for market share.

The authors developed an agent-based simulation model using the NetLogo environment. The simulation featured two competing platform providers, 1,000 customer agents and 50 merchant agents. Past research, interviews and surveys were conducted to accurately model the behavior of the agents. Each simulation run lasted for 50 time periods. A total of 1,024 experimental conditions were designed to model different competitive environments, and 50 replications were conducted for a total of 51,200 experiments.

The simulation model provides insight into MPS platform providers’ competitive strategies by simultaneously modelling socioeconomic interactions between customers, merchants and MPS.

From a methodological perspective, the paper contributes a comprehensive model that can be used to study competitive dynamics between competing platforms in a multi-sided market. From the perspective of competitive strategies, the results show that pricing alone is not sufficient to influence MPS diffusion. Interactions between pricing, customers’ risk perception, perceived security and ease of use of the platform create unexpected same-side and cross-side network effects, which affect MPS diffusion.

While pricing remains a crucial lever for MPS to compete for market share, they should focus on enhancing customers’ and merchants’ trust and reduce their risk perception. This can be done through the improvement of the user experience of their platform, development of educational materials and marketing campaigns that address concerns around security, data breaches and perceived risk.

The paper is a direct response to a recent call for action on studying competition between MPS platforms by simultaneously modelling the socio-economic behavior of heterogeneous consumers and merchants. The proposed agent-based simulation model can be used to provide insights into competitive strategies and as a building block for subsequent research in this area.

A new model for two-sided platforms is presented, incorporating both the original business and an expanded (new) business. Previous studies have neglected the impact of technology R & D on the new business aspect of two-sided platforms. This study addresses this gap by examining the technology R & D effect on the new business while also considering the congestion effect on the original business. It investigates the optimal pricing and user scales for both the original and new businesses. Additionally, the profits of the original business, the new business, and the overall two-sided platform are analyzed.

Previous studies have overlooked the technology R & D effect on the new business aspect of two-sided platforms. Therefore, this study focuses on examining the technology R & D effect on the new business. Additionally, the congestion effect on the original business is considered. To determine the optimal prices for both sides of the original and new businesses, a game sequence model is introduced.

The optimal price on the service buyers (defined b side) of new business increases only with regard to technology R & D effect on b side of new business increasing. The optimal price on b side of new business is equal to half of the b-side R & D effect. The optimal profit of original business decreases with regard to the technology R & D effect of new business and cross-market network effect on the services provider (defined s side) between original business and new business increasing, respectively. To gain optimal profit of two-sided platform, the two-sided platform adopts some strategies to improve the congestion.

A new two-sided platform model is stated, in which the technology R & D effect is embraced. The expanded business scenario of two-sided platform is considered, that is, the two-sided platform has one business firstly and a new business is developed or improved of two-sided platform. To solve the prices strategy of original business and new business, a game sequence of the original business and new business is presented.

Online comments significantly impact consumer choice and product sales. Existing research focuses on the direct effects of online comments on product sales, whereas studies on the spillover effects of online comments are relatively limited, especially for high-involvement products. This study explores the impact of online comments of competing products on focal product sales in high-involvement products.

Data mining techniques are used to collect 72,367 online comments from the Autohome platform, and sentiment analysis algorithms are used to quantify the textual information for subsequent analysis. Specifically, two panel two-way fixed-effects models are constructed to explore the impact of the average valence and quantity of online comments of competing cars on focal car sales, and analyse this impact in terms of heterogeneity across car price levels, while the moderating effect of online comments of competing cars is explored.

The results show that the average quantity of online comments of competing cars has a significant effect on the sales of the focal car in the overall sample, while the average valence of online comments of competing cars does not have a significant spillover effect. Moreover, the spillover effect varies by car price level. For high-priced cars, the average quantity of online comments of competing cars significantly and negatively affects focal car sales, and the average valence of online comments of competing cars significantly and negatively moderates the effect of the valence of focal car online comments on its sales. For lower-priced cars, online comments of competing cars don’t significantly affect focal car sales.

This study not only enriches the theory of online comments and high-involvement product sales, but also provides reference and guidance for exploring spillover effects of online comments for other products.

The purpose of this study is to explore brand customer erosion at both the category and brand levels while considering consumer socio-demographic characteristics and weight of purchase factors.

Data from 3,563 buyers encompassing 20,601 purchases were collected from a prominent household data panel.

Brand customer erosion varies depending on socio-demographic factors (householder age, family size, life cycle and social class) and weight of purchase; variations are evident depending on the specific brand.

The paper makes a substantial contribution to the established fields of marketing and consumer behavior literature by opening a new line of research. It does so by demonstrating, the impact of socio-demographic factors on customer erosion. Simultaneously, it presents results that contradict the limited existing research on the influence of weight of purchase on brand customer erosion.