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Big data marketing analytics (BDMA) has been discovered to be a key contributing factor to developing necessary marketing capabilities. This research aims to investigate the impact of the technology and information quality of BDMA on the critical marketing capabilities by differentiating between firms with low and high perceived market performance.

The responses were collected from marketing professionals familiar with BDMA in North America (N = 236). The analysis was done with partial least squares-structural equation modelling (PLS-SEM).

The results indicated positive and significant relationships between the information and technology quality as exogenous constructs and the endogenous constructs of the marketing capabilities of marketing planning, implementation and customer relationship management (CRM) with mainly moderate effect sizes. Differences in the path coefficients in the structural model were detected between firms with low and high perceived market performance.

This research indicates the critical role of technology and information quality in developing marketing capabilities. The study discovered heterogeneity in the sample population when using the low and high perceived market performance as the source of potential heterogeneity, the presence of which would likely cause a threat to the validity of the results in case heterogeneity is not considered. Thus, this research builds on previous research by considering this issue.

This paper aims to investigate how user expectations affect value-added service (VAS) investment and pricing decisions of two-sided platforms. It draws on the information asymmetry theory and offers suggestions on how platform operators can manage user expectations.

According to the game theory, this study considers three user expectations (responsive, passive and wary). By framing the Hotelling duopoly model and comparing the VAS investment, price and platform profits, the optimal platform decision is analyzed and discussed.

The conclusions demonstrate that the monopolistic two-sided platform obtains more profits from the informed users with responsive expectations than uninformed users with passive or wary expectations. The marginal investment cost and cross-network externalities are two key factors that determine the platform's VAS investment and pricing strategies of passive or wary users. Furthermore, considering the expectation preferences, i.e. the uniformed users hold wary expectations with more information and hold passive expectations with less or no information, the results suggest that the proportion of wary users to all uninformed users increases the platform's VAS investment, profits and the price of informed users, and increase (decrease) the price of uninformed users when the cross-network externalities of informed users are relatively small (larger).

These results can provide insightful enlightenment into how platform operators utilize bilateral users' expectations and information level to guide their VAS investment and pricing decisions.

This paper is one of the first to explore the impact of three user expectations and the heterogeneity of preferences in informing users' passive or wary expectations, based on different levels of information on the decision-making of two-sided platforms regarding VAS.

This study investigates the extent to which a firm’s centrality and autonomy in its supply network are associated with the intensity and complexity of its competitive actions.

Utilizing social network analysis and dynamic panel data models, this study analyzes a comprehensive panel dataset with 10,802 firm-year observations across various industries between 2011 and 2018 to test the hypotheses.

Our findings show that a firm’s level of centrality in its supply network has an inverted U-shaped relationship with both competitive intensity and competitive complexity. In addition, the turning points of these two inverted U-shaped relationships differ in that firms with a lower level of centrality tend to compete aggressively by launching more actions within fewer categories, while firms with a higher level of centrality tend to compete aggressively by launching fewer actions that cover a larger range of categories. Finally, we find that a firm’s structural autonomy has a positive relationship with competitive complexity.

This study bridges the gap between the supply chain management literature and strategic management literature and investigates how supply networks shape competitive aggressiveness. In particular, this research investigates how a firm’s structural position in its supply network affects its competitive actions, an important intermediate mechanism for competitive advantage that has been overlooked in the supply chain management literature.

This paper aims to investigate the internal factors of resources and capabilities of five born globals (BGs) from Estonia. It explores quantitatively the internal factors between a medium BG and four small BGs.

The study used a survey questionnaire in collecting information from the CEOs of BGs. The questionnaire consisted of 105 questions relevant to export sales related to differences in internal factors.

The firms’ size and industrial sector play a role in export sales due to differences in internal factors. Small BGs expect financially based rewards, non-financial rewards, the job satisfaction of sales representatives with the export manager, and with work in general, and the representatives’ job satisfaction is higher in the small BGs than in the medium BG. The sales representatives’ job performance, their work performance, sales presentations, technical knowledge, adaptiveness, teamwork, planning, support, the organisational capabilities for business identification, relationship-building and innovation are all higher in medium BGs than in small BGs. Eleven sub-constructs of the model were shown to be important for small BGs.

The current study is focused on BGs from Estonia, i.e. small BGs and medium BGs. The study contributes to the internal factors of resources and capabilities of BGs as well as to the literature review on BGs. It also provides a logical conceptual model, indicating that the export manager’s job satisfaction is the central construct influenced by antecedent factors and is related directly to the export sales performance of the BG.

This study aims to integrate the resource-based view (RBV) with other theories that consider external factors necessary to respond successfully to dynamic and uncertain entrepreneurial business conditions.

The paper introduces an multi-criteria decision-making (MCDM) approach, utilizing the axial-distance-based aggregated measurement (ADAM) method with weights determined by the preference selection index (PSI) method, to rank eight European countries based on the Global Entrepreneurship Monitor (GEM) data. Additionally, the paper extends the existing entrepreneurial ecosystem taxonomy (EET), offering an additional classification.

The performed analysis emphasizes the importance and necessity of involving different dimensions of EE in assessing the countries' entrepreneurship performance, which facilitates creating adequate policy measures.

The crucial limitations are assessments based only on the GEM data from a particular period, possibly leading to a certain bias. Future research should involve data from various resources to increase the results' reliability.

The ranking results and country classification obtained using the ADAM-based approach and two distinct taxonomies served as the basis for formulating tailored policy recommendations, aiming to formulate tailored policy implications for increasing the number of new entrepreneurs and improving innovativeness, sustainability and internationalization of existing entrepreneurs for each group of countries.

Drawing on the resource-based view (RBV) and the dynamic capabilities view (DCV), this study investigates how circular economy entrepreneurship (CEE) drives technical capabilities (TC) in achieving greater circular economy (CE) performance for small and medium-sized enterprises (SMEs) under the moderating influence of environmental dynamism. SMEs, facing resource constraints, need to promote CE due to growing stakeholder pressures. Thus, the authors recommend that SMEs via CEE can identify CE opportunities and then develop specific TC to exploit opportunities in the business environment to achieve CE performance. However, in doing so SMEs should pay attention to the varying degrees of environmental dynamism.

The RBV and DCV are used as a theoretical lens to investigate the direct and moderation effects between CEE, TC, CE performance and environmental dynamism tested via partial least square structural equation modeling (PLS-SEM) using survey data from 152 managers of SMEs in Nepal.

The study results show that CEE directly has a positive and significant effect on the development of TC and CE performance. Similarly, the development of TC drives SMEs to achieve improved CE performance, as evidenced by the positive and significant effect. Interestingly, the results suggest that environmental dynamism significantly improves the relationship between TC and CE performance, but this effect is strongest at high levels of environmental dynamism rather than at low and moderate levels. Additionally, the findings reveal that while environmental dynamism has a positive effect on the relationship between CEE and TC, this effect is insignificant.

Based on the arguments of the RBV and the DCV, this study explores how environmental dynamism can reduce and amplify SMEs' ability to use CEE to develop TC and improve CEP. First, this study integrates the circular economy and entrepreneurship domains to suggest essential CEP and TC benefits for SMEs via CEE. Second, this study suggests that at low levels of environmental dynamism, CEE has less effect on the SMEs’ development of TC, compared to high levels. Third, this study is conducted in the novel institutional context of Nepal, providing insights regarding how SMEs' CE entrepreneurship impacts TC and CEP.

This paper aims to (1) identify the different performance drivers (lead indicators) and outcome measures (lag indicators) investigated in the literature concerning the four balanced scorecard (BSC) perspectives in operations management (OM) contexts and (2) understand how performance drivers and outcome measures (and substantiated perspectives) are related.

We undertake a systematic literature review of the BSC literature in OM journals. From the final sample of 40 articles, performance drivers and outcome measures have been identified, and the relationships amongst them have been synthesised according to the system dynamics approach.

Findings show (1) the most relevant performance drivers and outcome measures within each BSC perspective, (2) their relationships, (3) how the perspectives are linked through the performance drivers and outcome measures and (4) how the different measures relate systemically. Accordingly, four causal loops amongst identified measures have been built, which – jointly considered – allowed for the creation of a dynamic strategy map for OM.

This study is the first one that provides a comprehensive and holistic view of how the different performance drivers and outcome measures within and between the four BSC perspectives in OM relate systemically, increasing the knowledge and understanding of scholars and practitioners.

This research investigates the critical role of data governance (DG) in shaping a data-driven culture (DDC) within organizations, recognizing the transformative potential of data utilization for efficiency, opportunities, and productivity. The study delves into the influence of DG on DDC, emphasizing the mediating effect of data literacy (DL).

The study empirically assesses 125 experienced managers in Indonesian public service sector organizations using a quantitative approach. Structural Equation Modeling (SEM) analysis was chosen to examine the impact of DG on DDC and the mediating effects of DL on this relationship.

The findings highlight that both DG and DL serve as antecedents to DDC, with DL identified as a crucial mediator, explaining a significant portion of the effects between DG and DDC.

Beyond unveiling these relationships, the study discusses practical implications for organizational leaders and managers, emphasizing the need for effective policies and strategies in data-driven decision-making.

This research fills an important research gap by introducing an original model and providing empirical evidence on the dynamic interplay between DG, DL, and DDC, contributing to the evolving landscape of data-driven organizational cultures.

This paper aims to explore the effects of two drivers, namely, the received fundings and its interaction with the specialized competences owned by the managerial board, on the R&D activities performed by start-ups.

This paper tests hypotheses on a sample of 405 innovative start-ups established in Italy and registered into the Chamber of Commerce official database. This study uses the R&D expenses as a measure of the innovative performance of start-up, and the authors also collected the number and total amount of grants received by them and the presence of high qualified team in their management board.

The analysis reveals that both the number and total amount of grants received by start-ups positively impact the innovative performance. The same is for the integration of the total amount of grants with the presence of high qualified team in the management board.

This study did not distinguish between different types of grants adopted by start-ups, while it would be interesting to study whether any difference does exist among them in terms of their influence on innovative performance. Also, this paper considers the total number of specialized people in the team while it would certainly be interesting to analyze people’s background and competences in relation to the innovative performances.

This paper allows us to offer some provisional conclusions such as having funds in the preliminary phase of start-up life cycle, and investments mainly for R&D expenses. The start-up must also leverage its skills and therefore it is necessary to invest in human capital.

Findings suggest that policymakers should introduce integrated measures to support start-ups throughout the entire life cycle, from the creation of the idea to incubation up to industrial consolidation.

This paper focuses on the determinants of start-up innovative performance because both external (such as political, economic, social and technological) and internal (such as organizational) influencing factors have to be considered as crucial for start-ups innovation and growth. Finally, this study is one of the few attempts exploring the phenomenon by using an empirical methodology based on real and certificated data.

The growing importance of environmental, social and governance (ESG) issues, as well as related performance planning, measuring and reporting, has spurred interest in linking corporate sustainability and performance management systems (PMSs). In this context, the aim of this paper is to provide companies with a framework for implementing the requirements of the corporate sustainability reporting directive (CSRD) through a sustainability balanced scorecard (SBSC). The framework will further the integration of sustainability with corporate governance.

The framework was grounded in the relevant literature and the CSRD requirements.

This paper provides companies with a novel framework for implementing the requirements of the CSRD through a SBSC. The framework specifies four key steps (i.e. identifying material themes, initial assessment, strategic formulation and action, and sustainability reporting) to integrate sustainability with corporate governance.

The framework supports managers’ decision-making processes in linking sustainability with strategy and providing a basis for integrating sustainability with corporate governance in organizations. The paper provides a way to practically address the CSRD requirements.

This is the first study integrating the emerging CSRD requirements with corporate governance. The paper advances discussion and debate by management scholars on how a SBSC can be practically implemented, providing details on how this may be achieved.