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Complex technology not only provides potential economic benefits but also increases the difficulty of application. Whether and how upstream technological complexity affects downstream manufacturers' innovation through vertical separation structure is worth discussing, but it has not been effectively discussed.

Through theoretical analysis and empirical testing, this article discusses the cost effect and market competition effect caused by upstream technological complexity on downstream manufacturers and further elucidates the impact of upstream technological complexity on downstream manufacturers' innovation.

Research has found that the impact of upstream technological complexity on the downstream manufacturers' innovation depends on the cost effect and market competition effect. The cost effect caused by the complexity of upstream technology inhibits the innovation of downstream manufacturers. In contrast, the market competition effect promotes the innovation of downstream manufacturers. There are differences in the cost effect and market competition effect of upstream technological complexity on different types of downstream manufacturers, so there is also significant heterogeneity in the impact of upstream technological complexity on innovation of different types of downstream manufacturers.

The conclusions of this article improve the understanding of the relationship between upstream technological complexity and downstream innovation and provide helpful implications for industrial chain innovation.

The purpose of this paper is to provide a nuanced understanding of international marketing agility by connecting organizational capability literature with that of standardization and adaptation. The focus of the research is to clarify whether managing the tension between product standardization and service customization generates an extra premium in international markets.

Two disaggregated Chinese data sets, the Annual Survey of Industrial Enterprises and the China Customs Database, are used for developing an econometric model. Export quality improvement is the outcome variable in reflecting the effect of international marketing agility on performance.

International marketing agility is reached through upstream FDI intensity, particularly in the context of service FDI. Manufacturing sectors with higher service intensity have more agility, being more likely to generate export quality.

This study makes three theoretical contributions by clarifying the concept of international marketing agility as an organizational capability generated by manufacturing standardization and service customization; investigating the influence of upstream FDI intensity for export quality while taking into account the industry contexts; and obtaining an enhanced understanding of the service intensity of manufacturing firms on export quality.

The authors offer a nuanced and contextualized understanding of international marketing agility and explore the complex relationships between FDI, service intensity and export quality.

This study investigates the integration of Industry 4.0 (I4.0) technologies with condition-based maintenance (CBM) in upstream oil and gas (O&G) operations, focussing on developing countries like Nigeria. The research identifies barriers to this integration and suggests solutions, intending to provide practical insights for improving operational efficiency in the O&G sector.

The study commenced with an exhaustive review of extant literature to identify existing barriers to I4.0 implementation and contextualise the study. Subsequent to this foundational step, primary data are gathered through the administration of carefully constructed questionnaires targeted at professionals specialised in maintenance within the upstream O&G sector. A semi-structured interview was also conducted to elicit more nuanced, contextual insights from these professionals. Analytically, the collected data were subjected to descriptive statistical methods for summarisation and interpretation with a measurement model to define the relationships between observed variables and latent construct. Moreover, the Relative Importance Index was utilised to systematically prioritise and rank the key barriers to I4.0 integration to CBM within the upstream O&G upstream sector.

The most ranked obstacles in integrating I4.0 technologies to the CBM strategy in the O&G industry are lack of budget and finance, limited engineering and technological resources, lack of support from executives and leaders of the organisations and lack of competence. Even though the journey of digitalisation has commenced in the O&G industry, there are limited studies in this area.

The study serves as both an academic cornerstone and a practical guide for the operational integration of I4.0 technologies within Nigeria's O&G upstream sector. Specifically, it provides an exhaustive analysis of the obstacles impeding effective incorporation into CBM practices. Additionally, the study contributes actionable insights for industry stakeholders to enhance overall performance and achieve key performance indices (KPIs).

The study aims to review the currently available Industry 4.0 (I4.0) maturity models (MMs) for manufacturing industries and analyse their applicability in the oil and gas (O&G) upstream sector. Knowing that the growth in demand for energy through crude oil and natural gas is still viable over the next decade, there is the drive to ensure sustenance and improvement in production. The study sees an opportunity in harnessing the gains of Industry 4.0 technologies for better solution-driven strategies in production processes, equipment availability and reliability which would translate into higher production performance. So, a review on the Industry 4.0 MMs is considered important.

A systematic and in-depth literature review was performed to identify the specific requirements of this industry. This study examined the key characteristics of the O&G upstream sector and identified research gaps that need to be addressed to successfully support this industry for Industry 4.0 implementation. An Industry 4.0 MM that reflects the industrial realities for this industry more accurately from insights drawn from reviews of existing MMs is proposed

The review of 19 selected Industry 4.0 MMs revealed that the existing MMs are not a direct fit for the O&G upstream industry. Only a few of the models were clear on validation but with subjectivity, low number of persons and industries involved as limitations; none of the models confirmed validation with the O&G industry. There are varying views on the model dimensions and maturity levels by each author and not all required areas specific to the O&G industries were acknowledged by the models. An MM specific to this industry is therefore required.

Although the journey of digitisation has commenced in the O&G industry, a reduction with the challenges of transition towards Industry 4.0 implementation and provision of support for improved efficiency is assured using a robust MM, as proposed in this paper.

The purpose of this paper is to explore brand innovation practices in small and medium enterprise (SME) wineries to found mid-range theory of brand innovation and to explain the interaction between upstream and downstream brand innovation during brand (re)launch.

This study deploys a qualitative research method. Data was collected through semi-structured telephone interviews with winery owners and managers from 20 German wineries. The approach explored both product and product line brands, organizational brands regarding upstream and downstream innovation and their mutual interaction.

The analyzed wineries provide evidence for up- and downstream brand innovation in the wine industry, thereby confirming previous findings that the wine industry is increasingly driven not only by tradition but also by innovation. The cases demonstrate that upscale SME wineries are able to distinguish between upstream and downstream innovation and integrate them in a meaningful way. Furthermore, the results point to the importance of team knowledge sharing and professional networks for successful upstream brand innovation, as well as social media for downstream brand innovation.

This paper presents a novel mid-range theory of brand innovation in winery SMEs, where resource constraints and a frugal approach to innovation demand for an integrated, hands-on approach.

This paper aims to clarify the CO₂ emissions of global construction industries under the consideration of different patterns of international trade and thus to draw a comprehensive picture for understanding the international paths of CO₂ transfer to global construction industries.

This research inventories the CO₂ emissions induced by the final demand of 15 economies for construction products and explores the CO₂ intensities of these economies based on a multi-regional input–output model. This paper further decomposes CO₂ emissions into four components based on different patterns of international trade to estimate the roles of four patterns of international trade in shaping the environmental pressures from global construction industries.

The results indicate that the CO₂ intensities of the construction industries in Russia, India and China were higher than those in other economies, and the CO₂ intensities of global construction industries experienced a decline over the years 2000–2014. The decomposition analysis demonstrates that domestic and foreign CO₂ emissions accounted for 42.67 and 54.23%, respectively, of the CO₂ emissions of the construction industries in the 15 economies during the period 2000–2007. Although the major part of the CO₂ emissions of the construction industries come from domestic production systems, the final demand for construction products in the 15 economies caused substantial emissions in other economies. Further decomposition by upstream industrial production source indicates that 58.65% of domestic emissions and 66.53% of foreign emissions can be traced back to the electricity industry.

Although the major patterns of CO₂ emissions of the construction industry have been identified in this paper, the difficulty of understanding the relationship between upstream production industries or countries and the construction industry deserves more attention in the future research.

Previous research on inventorying CO₂ emissions has generally been limited to evaluating the impact of industrial consumption activities on national or global emission accounting, tending to ignore the effects of different international trade patterns on the change in industrial CO₂ emissions. This research is the first attempt to account for and decompose the CO₂ emissions of global construction industries under consideration of the effects of different patterns of international trade on environmental pressures. The decomposition and upstream industrial distributions of different patterns of CO₂ emission provide a comprehensive picture for better understanding of the emission pattern and source of the CO₂ emissions of global construction industries. The research outcomes reveal how the final demand of a country for construction products induces CO₂ emissions in both domestic and foreign systems, thus providing basic information and references for policy adjustment and strategy design in relation to mitigation of climate change and sustainable development.

This study investigates the extent to which structural equivalence between acquiring and target firms is associated with post-merger and acquisition (M&A) performance—a relationship that is proposed to be moderated by industry-level vertical relatedness between acquiring and target firms.

Applying social network analysis and regression, this study analyzes a buyer–supplier relationship network dataset of 279 M&A deals completed between 2010 and 2017 to test the hypotheses. Structural equivalence is measured as the proportion of common customers and suppliers between an acquiring firm and a target firm.

Supporting a view about the importance of supply chains in explaining M&As outcomes, the results suggest that the structural equivalence in the supplier network is positively associated with post-M&A firm performance. The results also show that the effect of the structural equivalence in the customer network is moderated by vertical relatedness between two merging firms (i.e. structural equivalence contributes to post-M&A performance when vertical industry relatedness is high).

This study contributes to the M&A and supply network literature by investigating the performance implications of structural equivalence in supplier and customer networks, demonstrating the importance of taking a supply chain view when explaining M&As outcomes. Specifically, the authors suggest considering structural equivalence as a new type of relatedness between merging firms (i.e. relatedness in network resources in explaining post-M&A performance). It also indicates how industry-level vertical resource relatedness, which is about relatedness in internal resources between the two firms, could interact with firm-level network resource relatedness, which is about relatedness in external supply chain resources between the two firms, in affecting post-M&A performance.

The purpose of this paper is to examine the likely economy-wide impacts of the complete shutdown of the motor vehicle industry on output and employment in Australia using the latest input-output (IO) table (2009-2010).

Both supply- and demand-driven IO models are employed to determine the extent, and pattern, of the resulting output and job losses in upstream and downstream industries. An analysis of the first-order field of influence is also conducted to observe how output multipliers in other sectors respond to changes in the self-use-input-requirement of the professional, scientific and technical services (PSTS) industry.

The PSTS industry (with a significant research and development (R & D) component and the highest forward linkage index) would be hardest hit with the collapse of the motor vehicle industry.

This paper identifies a number of industries that are more likely to be heavily influenced by the resulting lack of R & D in the PSTS industry in the near future. Unless more funding is allocated to other research and technology-intensive industries, the extinction of the motor vehicle industry, coupled with the recent budgetary cuts for strategic organisations such as the Commonwealth Scientific and Industrial Research Organisation, can reduce the positive spillover effects of R & D activities on the Australian economy.

This is the first study to examine the effects of the shutdown of the motor vehicle industry on employment in Australia. The results also have broader implications for other developed countries that have declining motor vehicle industries. The findings suggest that the global decline in the motor vehicle industry can adversely affect investment in R & D in upstream and downstream industries. More generally, the results suggest that the shift in motor vehicle production to developing countries, will contribute to increased R & D intensity in them at the expense of developed countries.

The purpose of this paper is to provide an overview of the recent developments in the natural rubber industry and identify the major factors that will likely determine the sustainability of Thailand's competitive advantage in this area.

Data were gathered through in depth interviews with industry experts both in the private and public sectors. The obtained information was then analyzed under the standard framework of national competitiveness widely referred to as the Diamond Model.

The recent success of the Thai rubber industry stems from the competitiveness of local firms in the upstream industry and the leadership of foreign firms in the downstream sector. To further strengthen competitiveness, a more concerted effort to encourage innovation and technology absorption by local downstream firms is required.

This research provides a comprehensive overview of one of Thailand's most significant agricultural exporting industries. It systematically analyzes the sector's strengths and weaknesses and offers recommendations for policy makers to manage future opportunities and threats.

Transnational corporation (TNC)-led oil investments have been widely encouraged as a mechanism for the development of the Global South. Even though the sector is characterized by major accidents, oil-based developmentalist narratives claim that such accidents are merely isolated incidents that can be administratively addressed, redressed behaviorally through education of certain individuals, or corrected through individually targeted post-event legislation. Adapting Harvey Molotch’s (1970) political economy methodology of “accident research”, this paper argues that such “accidents” are, in fact, routine in the entire value chain of the oil system dominated by, among others, military-backed TNCs which increasingly collaborate with national and local oil companies similarly wedded to the ideology of growth. Based on this analysis, existing policy focus on improving technology, instituting and enforcing more environmental regulations, and the pursuit of economic nationalism in the form of withdrawing from globalization are ineffective. In such a red-hot system, built on rapidly spinning wheels of accumulation, the pursuit of slow growth characterized by breaking the chains of monopoly and oligopoly, putting commonly generated rent to common uses, and freeing labor from regulations that rob it of its produce has more potency to address the enigma of petroleum accidents in the global south.