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This study aims to investigate the impact of ex-ante regulatory interventions on emerging digital markets related to data sharing and combination practices. Specifically, it evaluates how such interventions influence market contestability by considering data network effects and the economic value of data.

The research uses agent-based modeling and simulations to analyze the dynamics of value generation and market competition related to the regulatory obligations on data sharing and combination practices.

Results show that while the promotion of data sharing through data portability and interoperability has a positive impact on the market, restricting data combination may damage value generation or, at best, have no positive impact even when it is imposed only on those platforms with very large market shares. More generally, the results emphasize the role of regulators in enabling the market through interoperability and service multihoming. Data sharing through portability fosters competition, while the usage of complementary data enhances platform value without necessarily harming the market. Service provider multihoming complements these efforts.

Although agent-based modeling and simulations describe the dynamics of data markets and platform competition, they do not provide accurate forecasts of possible market outcomes.

This paper presents a novel approach to understanding the dynamics of data value generation and the effects of related regulatory interventions. In the absence of real-world data, agent-based modeling provides a means to understand the general dynamics of data markets under different regulatory decisions that have yet to be implemented. This analysis is timely given the emergence of regulatory concerns on how to stimulate a competitive digital market and a shift toward ex-ante regulation, such as the regulatory obligations to large gatekeepers set in the Digital Markets Act.

The size of the logistics market is typically estimated from the national accounting and market data. However, this data does not take certain in-house logistics services into account and most likely underestimates the true size of the market. The purpose of this paper is to develop a method for estimating the potential size of the logistics market in terms of overall logistics expenditure and to also account for in-house services.

The research approach involves combining longitudinal industry- and firm-level turnover data, incorporating survey data from Finland on logistics outsourcing and costs, and calculating yearly logistics expenditure and the market demand for logistics services. Descriptive statistics, weighted arithmetic means and analyses of variance are employed in the estimations.

The research suggests and demonstrates a rigorous method for estimating the size of the logistics market, including both market-based demand and in-house services.

The empirical data used to illustrate the result are limited to a single country. The methodology should be further validated with data from other countries. The quality of the survey data could be improved by targeting multiple informants from a single firm.

One outcome of the research is that policymakers will be better able to estimate the size of the logistics market on a national level. For service providers, the results provide additional information on the market potential of logistics services.

The novelty of the research lies in combining multiple data sources and expanding the estimation of the logistics market to include services provided in-house.

The purpose of this paper is to enlighten the intriguing process of industry asset consolidation. It is critical for firms to manage their business acquisitions strategically for survival in this industry life cycle process, which develops through multiple company mergers. The companies extensively acquiring industry assets have utilized acquisition programs consisting of both pre-acquisition strategizing and post-acquisition integration; however, the existing literature on acquisition programs focuses on post-acquisition integration activities. This study aims to bridge this gap.

This study focuses on pre-acquisition strategizing of acquisition programs and proposes a model in which an acquiring company could manage its acquisitions for industry asset consolidation over the industry evolution.

Empirically, in the multi-case study of telecommunications infrastructure companies, the authors collect an extensive set of archival records accumulated over the whole industry life-cycle, spanning more than 30 years, and they apply a qualitative data analysis to reveal strategic actions within the companies.

The discoveries elaborate on activities comprising the acquisition process model: social legitimacy, strategic alignment, resource fulfillment, consolidation pursuit and merging.

The counterintuitive findings are that the companies strived to ensure legitimacy early in the telecommunication infrastructure markets before they reached strategic alignment with their owners.

The results extend the understanding of industry asset consolidation as an organization-level phenomenon and show how contextual factors connected to industry life-cycle phases, such as regulatory regimes and financial cycles and industry evolution, influence the attributions of an acquisition program.

This paper aims to investigate how firms can enhance their resilience in response to the disruptions caused by the COVID-19 pandemic. Specifically, the study focuses on assessing responsiveness as an antecedent and logistics outsourcing as a boundary condition to resilience.

Survey data collected from 286 manufacturing firms in Finland during 2021 are analysed to examine the relationships between supply chain responsiveness, logistics outsourcing and resilience.

Firm responsiveness is found to improve resilience, while an increasing level of logistics outsourcing weakens this relationship. Surprisingly, geographic dispersion does not significantly affect supply chain responsiveness.

Limitations of the study include the focus on manufacturing firms in Finland and the reliance on survey data. Future research could explore additional factors influencing resilience and consider a broader range of industries and geographical regions.

The findings offer valuable insights for managers seeking to enhance their firms’ resilience in the face of disruptions. By understanding the importance of responsiveness and the potential drawbacks of excessive logistics outsourcing, managers can make informed decisions to improve their firms’ ability to cope with unexpected challenges.

This research contributes to the understanding of resilience in supply chain disruptions by addressing fundamental questions related to efficiency, responsiveness, control and complexity. By examining the interplay between responsiveness, logistics outsourcing and resilience, the study enriches the understanding of how firms can effectively navigate unexpected challenges.

This study aims to investigate the extent to which psychological factors and the agency of decision-makers drive outsourcing decisions. Arguments based on transaction cost economics, the core competence approach and the theory of planned behavior are used to explain logistics outsourcing.

The literature was reviewed to identify constructs that are antecedents of logistics outsourcing intentions, and corresponding measures were developed. The data were gathered through a survey of supply chain professionals in Finnish manufacturing companies. A measurement model was reviewed to ensure reliability and validity and converted into a structural model for analysis. The analysis was based on partial least squares (PLS) structural equation modeling.

Supply chain managers objectively consider the characteristics of their organization's logistics identified in previous research as requiring assessment during the outsourcing process. However, and surprisingly, they also tend to rely on behavioral subjective factors such as positive attitudes, encouraging subjective norms and competence. Moreover, it seems that firms do not outsource logistics activities despite the high strategic importance of the function, but because of it.

The constructed model is limited to the constructs chosen to represent drivers of logistics outsourcing. Further application with more samples would improve its reliability.

The factors proposed here with respect to assets and the capabilities of third-party partners could facilitate decision-making related to logistics outsourcing.

The findings emphasize the role of behavioral factors in the procurement function and therefore enhance the understanding of behavioral supply chain management.

The purpose of this paper is to provide evidence of how the business cycle affects net-trade-credit and its components in firms on different tiers of the value chain, including retail, wholesale and two consecutive manufacturing tiers.

Data were collected by the means of four surveys in the years 2006, 2009, 2012 and 2014, representing different phases of the business cycle, that is, from strong economic growth to a deep recession and on to slow recovery and finally into decline. Descriptive statistics and three ANOVA models were used in the analysis of the data.

The distinctive profile of each value chain tier appears to have an effect on tier-specific trade credit dynamics. Overall, upstream positioned firms and small firms are likely to experience a decline in the net-trade-credit during uncertain economic times. The type of task interdependence between tiers also appears to affect trade credit dynamics in some tiers of the value chain. Furthermore, initiated by recession, certain trade credit dynamics in the value chain suggest a mechanism that transmits an increased working capital burden from customers to suppliers along the value chain.

Results are based on survey research with a limited amount of respondents and geographical coverage, implying limited generalisability. The use of implicit measures limits the conclusiveness of the research.

The conventional perception of the power-based determination of trade credit policies is complemented with a value chain-related task interdependence perspective. The results of this paper also highlight that a more holistic value chain perceptive on working capital management would be more sustainable in comparison to firm-centric approaches.

Firms that need to address growing concerns about the environmental impact of their activities could benefit from collaborating internally and externally. The purpose of this paper is to develop and empirically test a theoretical model of the effects of internal and external environmental collaboration with customers on the firm performance of logistics service providers (LSPs).

Hierarchical multiple regression and generalised linear modelling are utilised to analyse 311 LSPs offering road transport services in Finland. The data set was collected from a Finnish nationwide logistics survey in 2012 and financial reports-based data.

External environmental collaboration with customers seems to be the most effective way to improve operational and financial performance, while internal environmental collaboration does not yield similar benefits.

Research limitations include the concentrated geographic origin of the respondents and the exclusion of potential indirect effects of environmental collaboration on operational and financial performance through environmental performance.

Managers planning to implement environmental initiatives should extend their focus from internal operations to external partners in the supply chain.

This research is one of the first attempts to focus on performance outcomes with regard to the environmental activities of LSPs. The research provides quantified insights using both self-reported and financial reports-based data.

The purpose of this paper is to explore the current state of and future expectations concerning the usage of the outsourcing of logistics operations in small‐ and medium‐sized enterprises (SMEs), and to analyse and quantify the relationships between logistics outsourcing, costs and performance, financial performance, and the company context.

The data were 223 manufacturing and trading SMEs from the Finnish logistics survey combined with detailed financial report‐based data, both referring to the year 2008. Statistical analyses including ANOVA and factor analysis were applied.

Transport activities are excessively outsourced. Most companies report no outsourcing of order processing and invoicing, and half of them have not outsourced logistics IT systems. Outsourcing is expected to grow in all areas with strongest expectations in materials management, value‐added services, and in IT. The logistics costs for companies engaging in the medium level of outsourcing could be higher than those of other companies. Further research is needed to confirm this finding. No loss or gain in logistics performance due to outsourcing was observed. The more the companies are engaged in outsourcing, the more they monitor as well as collaborate internally and externally, or vice versa. In general, the results imply that management should not expect automatic gains from logistics outsourcing, and should rather analyse the company‐specific characteristics that support or in some cases suffer from the outsourcing decision.

The article explores logistics outsourcing in SMEs combining financial report data with self‐reported measures. It analyses and quantifies the relationship of logistics outsourcing to logistics costs, financial performance, logistics performance, and company context.